{"notebook_content":"<!DOCTYPE html>\n\n<html lang=\"en\">\n<head><meta charset=\"utf-8\"/>\n<meta content=\"width=device-width, initial-scale=1.0\" name=\"viewport\"/>\n<title>Notebook</title><script src=\"https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js\"></script>\n<style type=\"text/css\">\n    pre { line-height: 125%; }\ntd.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\nspan.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }\ntd.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\nspan.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }\n.highlight .hll { background-color: var(--jp-cell-editor-active-background) }\n.highlight { background: var(--jp-cell-editor-background); color: var(--jp-mirror-editor-variable-color) }\n.highlight .c { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment */\n.highlight .err { color: var(--jp-mirror-editor-error-color) } /* Error */\n.highlight .k { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword */\n.highlight .o { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator */\n.highlight .p { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation */\n.highlight .ch { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Hashbang */\n.highlight .cm { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Multiline */\n.highlight .cp { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Preproc */\n.highlight .cpf { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.PreprocFile */\n.highlight .c1 { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Single */\n.highlight .cs { color: var(--jp-mirror-editor-comment-color); font-style: italic } /* Comment.Special */\n.highlight .kc { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Constant */\n.highlight .kd { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Declaration */\n.highlight .kn { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Namespace */\n.highlight .kp { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Pseudo */\n.highlight .kr { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Reserved */\n.highlight .kt { color: var(--jp-mirror-editor-keyword-color); font-weight: bold } /* Keyword.Type */\n.highlight .m { color: var(--jp-mirror-editor-number-color) } /* Literal.Number */\n.highlight .s { color: var(--jp-mirror-editor-string-color) } /* Literal.String */\n.highlight .ow { color: var(--jp-mirror-editor-operator-color); font-weight: bold } /* Operator.Word */\n.highlight .pm { color: var(--jp-mirror-editor-punctuation-color) } /* Punctuation.Marker */\n.highlight .w { color: var(--jp-mirror-editor-variable-color) } /* Text.Whitespace */\n.highlight .mb { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Bin */\n.highlight .mf { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Float */\n.highlight .mh { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Hex */\n.highlight .mi { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer */\n.highlight .mo { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Oct */\n.highlight .sa { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Affix */\n.highlight .sb { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Backtick */\n.highlight .sc { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Char */\n.highlight .dl { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Delimiter */\n.highlight .sd { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Doc */\n.highlight .s2 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Double */\n.highlight .se { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Escape */\n.highlight .sh { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Heredoc */\n.highlight .si { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Interpol */\n.highlight .sx { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Other */\n.highlight .sr { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Regex */\n.highlight .s1 { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Single */\n.highlight .ss { color: var(--jp-mirror-editor-string-color) } /* Literal.String.Symbol */\n.highlight .il { color: var(--jp-mirror-editor-number-color) } /* Literal.Number.Integer.Long */\n  </style>\n<style type=\"text/css\">\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*\n * Mozilla scrollbar styling\n */\n\n/* use standard opaque scrollbars for most nodes */\n[data-jp-theme-scrollbars='true'] {\n  scrollbar-color: rgb(var(--jp-scrollbar-thumb-color))\n    var(--jp-scrollbar-background-color);\n}\n\n/* for code nodes, use a transparent style of scrollbar. These selectors\n * will match lower in the tree, and so will override the above */\n[data-jp-theme-scrollbars='true'] .CodeMirror-hscrollbar,\n[data-jp-theme-scrollbars='true'] .CodeMirror-vscrollbar {\n  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;\n}\n\n/* tiny scrollbar */\n\n.jp-scrollbar-tiny {\n  scrollbar-color: rgba(var(--jp-scrollbar-thumb-color), 0.5) transparent;\n  scrollbar-width: thin;\n}\n\n/* tiny scrollbar */\n\n.jp-scrollbar-tiny::-webkit-scrollbar,\n.jp-scrollbar-tiny::-webkit-scrollbar-corner {\n  background-color: transparent;\n  height: 4px;\n  width: 4px;\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-thumb {\n  background: rgba(var(--jp-scrollbar-thumb-color), 0.5);\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-track:horizontal {\n  border-left: 0 solid transparent;\n  border-right: 0 solid transparent;\n}\n\n.jp-scrollbar-tiny::-webkit-scrollbar-track:vertical {\n  border-top: 0 solid transparent;\n  border-bottom: 0 solid transparent;\n}\n\n/*\n * Lumino\n */\n\n.lm-ScrollBar[data-orientation='horizontal'] {\n  min-height: 16px;\n  max-height: 16px;\n  min-width: 45px;\n  border-top: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='vertical'] {\n  min-width: 16px;\n  max-width: 16px;\n  min-height: 45px;\n  border-left: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar-button {\n  background-color: #f0f0f0;\n  background-position: center center;\n  min-height: 15px;\n  max-height: 15px;\n  min-width: 15px;\n  max-width: 15px;\n}\n\n.lm-ScrollBar-button:hover {\n  background-color: #dadada;\n}\n\n.lm-ScrollBar-button.lm-mod-active {\n  background-color: #cdcdcd;\n}\n\n.lm-ScrollBar-track {\n  background: #f0f0f0;\n}\n\n.lm-ScrollBar-thumb {\n  background: #cdcdcd;\n}\n\n.lm-ScrollBar-thumb:hover {\n  background: #bababa;\n}\n\n.lm-ScrollBar-thumb.lm-mod-active {\n  background: #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='horizontal'] .lm-ScrollBar-thumb {\n  height: 100%;\n  min-width: 15px;\n  border-left: 1px solid #a0a0a0;\n  border-right: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='vertical'] .lm-ScrollBar-thumb {\n  width: 100%;\n  min-height: 15px;\n  border-top: 1px solid #a0a0a0;\n  border-bottom: 1px solid #a0a0a0;\n}\n\n.lm-ScrollBar[data-orientation='horizontal']\n  .lm-ScrollBar-button[data-action='decrement'] {\n  background-image: var(--jp-icon-caret-left);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='horizontal']\n  .lm-ScrollBar-button[data-action='increment'] {\n  background-image: var(--jp-icon-caret-right);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='vertical']\n  .lm-ScrollBar-button[data-action='decrement'] {\n  background-image: var(--jp-icon-caret-up);\n  background-size: 17px;\n}\n\n.lm-ScrollBar[data-orientation='vertical']\n  .lm-ScrollBar-button[data-action='increment'] {\n  background-image: var(--jp-icon-caret-down);\n  background-size: 17px;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-Widget {\n  box-sizing: border-box;\n  position: relative;\n  overflow: hidden;\n}\n\n.lm-Widget.lm-mod-hidden {\n  display: none !important;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.lm-AccordionPanel[data-orientation='horizontal'] > .lm-AccordionPanel-title {\n  /* Title is rotated for horizontal accordion panel using CSS */\n  display: block;\n  transform-origin: top left;\n  transform: rotate(-90deg) translate(-100%);\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette {\n  display: flex;\n  flex-direction: column;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.lm-CommandPalette-search {\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-content {\n  flex: 1 1 auto;\n  margin: 0;\n  padding: 0;\n  min-height: 0;\n  overflow: auto;\n  list-style-type: none;\n}\n\n.lm-CommandPalette-header {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n.lm-CommandPalette-item {\n  display: flex;\n  flex-direction: row;\n}\n\n.lm-CommandPalette-itemIcon {\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-itemContent {\n  flex: 1 1 auto;\n  overflow: hidden;\n}\n\n.lm-CommandPalette-itemShortcut {\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-itemLabel {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n.lm-close-icon {\n  border: 1px solid transparent;\n  background-color: transparent;\n  position: absolute;\n  z-index: 1;\n  right: 3%;\n  top: 0;\n  bottom: 0;\n  margin: auto;\n  padding: 7px 0;\n  display: none;\n  vertical-align: middle;\n  outline: 0;\n  cursor: pointer;\n}\n.lm-close-icon:after {\n  content: 'X';\n  display: block;\n  width: 15px;\n  height: 15px;\n  text-align: center;\n  color: #000;\n  font-weight: normal;\n  font-size: 12px;\n  cursor: pointer;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-DockPanel {\n  z-index: 0;\n}\n\n.lm-DockPanel-widget {\n  z-index: 0;\n}\n\n.lm-DockPanel-tabBar {\n  z-index: 1;\n}\n\n.lm-DockPanel-handle {\n  z-index: 2;\n}\n\n.lm-DockPanel-handle.lm-mod-hidden {\n  display: none !important;\n}\n\n.lm-DockPanel-handle:after {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  content: '';\n}\n\n.lm-DockPanel-handle[data-orientation='horizontal'] {\n  cursor: ew-resize;\n}\n\n.lm-DockPanel-handle[data-orientation='vertical'] {\n  cursor: ns-resize;\n}\n\n.lm-DockPanel-handle[data-orientation='horizontal']:after {\n  left: 50%;\n  min-width: 8px;\n  transform: translateX(-50%);\n}\n\n.lm-DockPanel-handle[data-orientation='vertical']:after {\n  top: 50%;\n  min-height: 8px;\n  transform: translateY(-50%);\n}\n\n.lm-DockPanel-overlay {\n  z-index: 3;\n  box-sizing: border-box;\n  pointer-events: none;\n}\n\n.lm-DockPanel-overlay.lm-mod-hidden {\n  display: none !important;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-Menu {\n  z-index: 10000;\n  position: absolute;\n  white-space: nowrap;\n  overflow-x: hidden;\n  overflow-y: auto;\n  outline: none;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.lm-Menu-content {\n  margin: 0;\n  padding: 0;\n  display: table;\n  list-style-type: none;\n}\n\n.lm-Menu-item {\n  display: table-row;\n}\n\n.lm-Menu-item.lm-mod-hidden,\n.lm-Menu-item.lm-mod-collapsed {\n  display: none !important;\n}\n\n.lm-Menu-itemIcon,\n.lm-Menu-itemSubmenuIcon {\n  display: table-cell;\n  text-align: center;\n}\n\n.lm-Menu-itemLabel {\n  display: table-cell;\n  text-align: left;\n}\n\n.lm-Menu-itemShortcut {\n  display: table-cell;\n  text-align: right;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-MenuBar {\n  outline: none;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.lm-MenuBar-content {\n  margin: 0;\n  padding: 0;\n  display: flex;\n  flex-direction: row;\n  list-style-type: none;\n}\n\n.lm-MenuBar-item {\n  box-sizing: border-box;\n}\n\n.lm-MenuBar-itemIcon,\n.lm-MenuBar-itemLabel {\n  display: inline-block;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-ScrollBar {\n  display: flex;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.lm-ScrollBar[data-orientation='horizontal'] {\n  flex-direction: row;\n}\n\n.lm-ScrollBar[data-orientation='vertical'] {\n  flex-direction: column;\n}\n\n.lm-ScrollBar-button {\n  box-sizing: border-box;\n  flex: 0 0 auto;\n}\n\n.lm-ScrollBar-track {\n  box-sizing: border-box;\n  position: relative;\n  overflow: hidden;\n  flex: 1 1 auto;\n}\n\n.lm-ScrollBar-thumb {\n  box-sizing: border-box;\n  position: absolute;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-SplitPanel-child {\n  z-index: 0;\n}\n\n.lm-SplitPanel-handle {\n  z-index: 1;\n}\n\n.lm-SplitPanel-handle.lm-mod-hidden {\n  display: none !important;\n}\n\n.lm-SplitPanel-handle:after {\n  position: absolute;\n  top: 0;\n  left: 0;\n  width: 100%;\n  height: 100%;\n  content: '';\n}\n\n.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {\n  cursor: ew-resize;\n}\n\n.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {\n  cursor: ns-resize;\n}\n\n.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {\n  left: 50%;\n  min-width: 8px;\n  transform: translateX(-50%);\n}\n\n.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {\n  top: 50%;\n  min-height: 8px;\n  transform: translateY(-50%);\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-TabBar {\n  display: flex;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.lm-TabBar[data-orientation='horizontal'] {\n  flex-direction: row;\n  align-items: flex-end;\n}\n\n.lm-TabBar[data-orientation='vertical'] {\n  flex-direction: column;\n  align-items: flex-end;\n}\n\n.lm-TabBar-content {\n  margin: 0;\n  padding: 0;\n  display: flex;\n  flex: 1 1 auto;\n  list-style-type: none;\n}\n\n.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {\n  flex-direction: row;\n}\n\n.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {\n  flex-direction: column;\n}\n\n.lm-TabBar-tab {\n  display: flex;\n  flex-direction: row;\n  box-sizing: border-box;\n  overflow: hidden;\n  touch-action: none; /* Disable native Drag/Drop */\n}\n\n.lm-TabBar-tabIcon,\n.lm-TabBar-tabCloseIcon {\n  flex: 0 0 auto;\n}\n\n.lm-TabBar-tabLabel {\n  flex: 1 1 auto;\n  overflow: hidden;\n  white-space: nowrap;\n}\n\n.lm-TabBar-tabInput {\n  user-select: all;\n  width: 100%;\n  box-sizing: border-box;\n}\n\n.lm-TabBar-tab.lm-mod-hidden {\n  display: none !important;\n}\n\n.lm-TabBar-addButton.lm-mod-hidden {\n  display: none !important;\n}\n\n.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {\n  position: relative;\n}\n\n.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {\n  left: 0;\n  transition: left 150ms ease;\n}\n\n.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {\n  top: 0;\n  transition: top 150ms ease;\n}\n\n.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {\n  transition: none;\n}\n\n.lm-TabBar-tabLabel .lm-TabBar-tabInput {\n  user-select: all;\n  width: 100%;\n  box-sizing: border-box;\n  background: inherit;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-TabPanel-tabBar {\n  z-index: 1;\n}\n\n.lm-TabPanel-stackedPanel {\n  z-index: 0;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Collapse {\n  display: flex;\n  flex-direction: column;\n  align-items: stretch;\n}\n\n.jp-Collapse-header {\n  padding: 1px 12px;\n  background-color: var(--jp-layout-color1);\n  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);\n  color: var(--jp-ui-font-color1);\n  cursor: pointer;\n  display: flex;\n  align-items: center;\n  font-size: var(--jp-ui-font-size0);\n  font-weight: 600;\n  text-transform: uppercase;\n  user-select: none;\n}\n\n.jp-Collapser-icon {\n  height: 16px;\n}\n\n.jp-Collapse-header-collapsed .jp-Collapser-icon {\n  transform: rotate(-90deg);\n  margin: auto 0;\n}\n\n.jp-Collapser-title {\n  line-height: 25px;\n}\n\n.jp-Collapse-contents {\n  padding: 0 12px;\n  background-color: var(--jp-layout-color1);\n  color: var(--jp-ui-font-color1);\n  overflow: auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */\n\n/**\n * (DEPRECATED) Support for consuming icons as CSS background images\n */\n\n/* Icons urls */\n\n:root {\n  --jp-icon-add-above: url(data:image/svg+xml;base64,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);\n  --jp-icon-add-below: url(data:image/svg+xml;base64,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);\n  --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);\n  --jp-icon-bell: url(data:image/svg+xml;base64,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);\n  --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);\n  --jp-icon-bug: url(data:image/svg+xml;base64,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);\n  --jp-icon-build: 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url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);\n  --jp-icon-trusted: url(data:image/svg+xml;base64,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);\n  --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-users: url(data:image/svg+xml;base64,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);\n  --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);\n  --jp-icon-word: url(data:image/svg+xml;base64,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);\n  --jp-icon-yaml: url(data:image/svg+xml;base64,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);\n}\n\n/* Icon CSS class declarations */\n\n.jp-AddAboveIcon {\n  background-image: var(--jp-icon-add-above);\n}\n\n.jp-AddBelowIcon {\n  background-image: var(--jp-icon-add-below);\n}\n\n.jp-AddIcon {\n  background-image: var(--jp-icon-add);\n}\n\n.jp-BellIcon {\n  background-image: var(--jp-icon-bell);\n}\n\n.jp-BugDotIcon {\n  background-image: var(--jp-icon-bug-dot);\n}\n\n.jp-BugIcon {\n  background-image: var(--jp-icon-bug);\n}\n\n.jp-BuildIcon {\n  background-image: var(--jp-icon-build);\n}\n\n.jp-CaretDownEmptyIcon {\n  background-image: var(--jp-icon-caret-down-empty);\n}\n\n.jp-CaretDownEmptyThinIcon {\n  background-image: var(--jp-icon-caret-down-empty-thin);\n}\n\n.jp-CaretDownIcon {\n  background-image: var(--jp-icon-caret-down);\n}\n\n.jp-CaretLeftIcon {\n  background-image: var(--jp-icon-caret-left);\n}\n\n.jp-CaretRightIcon {\n  background-image: var(--jp-icon-caret-right);\n}\n\n.jp-CaretUpEmptyThinIcon {\n  background-image: var(--jp-icon-caret-up-empty-thin);\n}\n\n.jp-CaretUpIcon {\n  background-image: var(--jp-icon-caret-up);\n}\n\n.jp-CaseSensitiveIcon {\n  background-image: var(--jp-icon-case-sensitive);\n}\n\n.jp-CheckIcon {\n  background-image: var(--jp-icon-check);\n}\n\n.jp-CircleEmptyIcon {\n  background-image: var(--jp-icon-circle-empty);\n}\n\n.jp-CircleIcon {\n  background-image: var(--jp-icon-circle);\n}\n\n.jp-ClearIcon {\n  background-image: var(--jp-icon-clear);\n}\n\n.jp-CloseIcon {\n  background-image: var(--jp-icon-close);\n}\n\n.jp-CodeCheckIcon {\n  background-image: var(--jp-icon-code-check);\n}\n\n.jp-CodeIcon {\n  background-image: var(--jp-icon-code);\n}\n\n.jp-CollapseAllIcon {\n  background-image: var(--jp-icon-collapse-all);\n}\n\n.jp-ConsoleIcon {\n  background-image: var(--jp-icon-console);\n}\n\n.jp-CopyIcon {\n  background-image: var(--jp-icon-copy);\n}\n\n.jp-CopyrightIcon {\n  background-image: var(--jp-icon-copyright);\n}\n\n.jp-CutIcon {\n  background-image: var(--jp-icon-cut);\n}\n\n.jp-DeleteIcon {\n  background-image: var(--jp-icon-delete);\n}\n\n.jp-DownloadIcon {\n  background-image: var(--jp-icon-download);\n}\n\n.jp-DuplicateIcon {\n  background-image: var(--jp-icon-duplicate);\n}\n\n.jp-EditIcon {\n  background-image: var(--jp-icon-edit);\n}\n\n.jp-EllipsesIcon {\n  background-image: var(--jp-icon-ellipses);\n}\n\n.jp-ErrorIcon {\n  background-image: var(--jp-icon-error);\n}\n\n.jp-ExpandAllIcon {\n  background-image: var(--jp-icon-expand-all);\n}\n\n.jp-ExtensionIcon {\n  background-image: var(--jp-icon-extension);\n}\n\n.jp-FastForwardIcon {\n  background-image: var(--jp-icon-fast-forward);\n}\n\n.jp-FileIcon {\n  background-image: var(--jp-icon-file);\n}\n\n.jp-FileUploadIcon {\n  background-image: var(--jp-icon-file-upload);\n}\n\n.jp-FilterDotIcon {\n  background-image: var(--jp-icon-filter-dot);\n}\n\n.jp-FilterIcon {\n  background-image: var(--jp-icon-filter);\n}\n\n.jp-FilterListIcon {\n  background-image: var(--jp-icon-filter-list);\n}\n\n.jp-FolderFavoriteIcon {\n  background-image: var(--jp-icon-folder-favorite);\n}\n\n.jp-FolderIcon {\n  background-image: var(--jp-icon-folder);\n}\n\n.jp-HomeIcon {\n  background-image: var(--jp-icon-home);\n}\n\n.jp-Html5Icon {\n  background-image: var(--jp-icon-html5);\n}\n\n.jp-ImageIcon {\n  background-image: var(--jp-icon-image);\n}\n\n.jp-InfoIcon {\n  background-image: var(--jp-icon-info);\n}\n\n.jp-InspectorIcon {\n  background-image: var(--jp-icon-inspector);\n}\n\n.jp-JsonIcon {\n  background-image: var(--jp-icon-json);\n}\n\n.jp-JuliaIcon {\n  background-image: var(--jp-icon-julia);\n}\n\n.jp-JupyterFaviconIcon {\n  background-image: var(--jp-icon-jupyter-favicon);\n}\n\n.jp-JupyterIcon {\n  background-image: var(--jp-icon-jupyter);\n}\n\n.jp-JupyterlabWordmarkIcon {\n  background-image: var(--jp-icon-jupyterlab-wordmark);\n}\n\n.jp-KernelIcon {\n  background-image: var(--jp-icon-kernel);\n}\n\n.jp-KeyboardIcon {\n  background-image: var(--jp-icon-keyboard);\n}\n\n.jp-LaunchIcon {\n  background-image: var(--jp-icon-launch);\n}\n\n.jp-LauncherIcon {\n  background-image: var(--jp-icon-launcher);\n}\n\n.jp-LineFormIcon {\n  background-image: var(--jp-icon-line-form);\n}\n\n.jp-LinkIcon {\n  background-image: var(--jp-icon-link);\n}\n\n.jp-ListIcon {\n  background-image: var(--jp-icon-list);\n}\n\n.jp-MarkdownIcon {\n  background-image: var(--jp-icon-markdown);\n}\n\n.jp-MoveDownIcon {\n  background-image: var(--jp-icon-move-down);\n}\n\n.jp-MoveUpIcon {\n  background-image: var(--jp-icon-move-up);\n}\n\n.jp-NewFolderIcon {\n  background-image: var(--jp-icon-new-folder);\n}\n\n.jp-NotTrustedIcon {\n  background-image: var(--jp-icon-not-trusted);\n}\n\n.jp-NotebookIcon {\n  background-image: var(--jp-icon-notebook);\n}\n\n.jp-NumberingIcon {\n  background-image: var(--jp-icon-numbering);\n}\n\n.jp-OfflineBoltIcon {\n  background-image: var(--jp-icon-offline-bolt);\n}\n\n.jp-PaletteIcon {\n  background-image: var(--jp-icon-palette);\n}\n\n.jp-PasteIcon {\n  background-image: var(--jp-icon-paste);\n}\n\n.jp-PdfIcon {\n  background-image: var(--jp-icon-pdf);\n}\n\n.jp-PythonIcon {\n  background-image: var(--jp-icon-python);\n}\n\n.jp-RKernelIcon {\n  background-image: var(--jp-icon-r-kernel);\n}\n\n.jp-ReactIcon {\n  background-image: var(--jp-icon-react);\n}\n\n.jp-RedoIcon {\n  background-image: var(--jp-icon-redo);\n}\n\n.jp-RefreshIcon {\n  background-image: var(--jp-icon-refresh);\n}\n\n.jp-RegexIcon {\n  background-image: var(--jp-icon-regex);\n}\n\n.jp-RunIcon {\n  background-image: var(--jp-icon-run);\n}\n\n.jp-RunningIcon {\n  background-image: var(--jp-icon-running);\n}\n\n.jp-SaveIcon {\n  background-image: var(--jp-icon-save);\n}\n\n.jp-SearchIcon {\n  background-image: var(--jp-icon-search);\n}\n\n.jp-SettingsIcon {\n  background-image: var(--jp-icon-settings);\n}\n\n.jp-ShareIcon {\n  background-image: var(--jp-icon-share);\n}\n\n.jp-SpreadsheetIcon {\n  background-image: var(--jp-icon-spreadsheet);\n}\n\n.jp-StopIcon {\n  background-image: var(--jp-icon-stop);\n}\n\n.jp-TabIcon {\n  background-image: var(--jp-icon-tab);\n}\n\n.jp-TableRowsIcon {\n  background-image: var(--jp-icon-table-rows);\n}\n\n.jp-TagIcon {\n  background-image: var(--jp-icon-tag);\n}\n\n.jp-TerminalIcon {\n  background-image: var(--jp-icon-terminal);\n}\n\n.jp-TextEditorIcon {\n  background-image: var(--jp-icon-text-editor);\n}\n\n.jp-TocIcon {\n  background-image: var(--jp-icon-toc);\n}\n\n.jp-TreeViewIcon {\n  background-image: var(--jp-icon-tree-view);\n}\n\n.jp-TrustedIcon {\n  background-image: var(--jp-icon-trusted);\n}\n\n.jp-UndoIcon {\n  background-image: var(--jp-icon-undo);\n}\n\n.jp-UserIcon {\n  background-image: var(--jp-icon-user);\n}\n\n.jp-UsersIcon {\n  background-image: var(--jp-icon-users);\n}\n\n.jp-VegaIcon {\n  background-image: var(--jp-icon-vega);\n}\n\n.jp-WordIcon {\n  background-image: var(--jp-icon-word);\n}\n\n.jp-YamlIcon {\n  background-image: var(--jp-icon-yaml);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * (DEPRECATED) Support for consuming icons as CSS background images\n */\n\n.jp-Icon,\n.jp-MaterialIcon {\n  background-position: center;\n  background-repeat: no-repeat;\n  background-size: 16px;\n  min-width: 16px;\n  min-height: 16px;\n}\n\n.jp-Icon-cover {\n  background-position: center;\n  background-repeat: no-repeat;\n  background-size: cover;\n}\n\n/**\n * (DEPRECATED) Support for specific CSS icon sizes\n */\n\n.jp-Icon-16 {\n  background-size: 16px;\n  min-width: 16px;\n  min-height: 16px;\n}\n\n.jp-Icon-18 {\n  background-size: 18px;\n  min-width: 18px;\n  min-height: 18px;\n}\n\n.jp-Icon-20 {\n  background-size: 20px;\n  min-width: 20px;\n  min-height: 20px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.lm-TabBar .lm-TabBar-addButton {\n  align-items: center;\n  display: flex;\n  padding: 4px;\n  padding-bottom: 5px;\n  margin-right: 1px;\n  background-color: var(--jp-layout-color2);\n}\n\n.lm-TabBar .lm-TabBar-addButton:hover {\n  background-color: var(--jp-layout-color1);\n}\n\n.lm-DockPanel-tabBar .lm-TabBar-tab {\n  width: var(--jp-private-horizontal-tab-width);\n}\n\n.lm-DockPanel-tabBar .lm-TabBar-content {\n  flex: unset;\n}\n\n.lm-DockPanel-tabBar[data-orientation='horizontal'] {\n  flex: 1 1 auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * Support for icons as inline SVG HTMLElements\n */\n\n/* recolor the primary elements of an icon */\n.jp-icon0[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon1[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon2[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon3[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon4[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon0[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon1[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon2[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon3[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon4[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/* recolor the accent elements of an icon */\n.jp-icon-accent0[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.jp-icon-accent1[fill] {\n  fill: var(--jp-layout-color1);\n}\n\n.jp-icon-accent2[fill] {\n  fill: var(--jp-layout-color2);\n}\n\n.jp-icon-accent3[fill] {\n  fill: var(--jp-layout-color3);\n}\n\n.jp-icon-accent4[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-accent0[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n\n.jp-icon-accent1[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n\n.jp-icon-accent2[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n\n.jp-icon-accent3[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n\n.jp-icon-accent4[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* set the color of an icon to transparent */\n.jp-icon-none[fill] {\n  fill: none;\n}\n\n.jp-icon-none[stroke] {\n  stroke: none;\n}\n\n/* brand icon colors. Same for light and dark */\n.jp-icon-brand0[fill] {\n  fill: var(--jp-brand-color0);\n}\n\n.jp-icon-brand1[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n.jp-icon-brand2[fill] {\n  fill: var(--jp-brand-color2);\n}\n\n.jp-icon-brand3[fill] {\n  fill: var(--jp-brand-color3);\n}\n\n.jp-icon-brand4[fill] {\n  fill: var(--jp-brand-color4);\n}\n\n.jp-icon-brand0[stroke] {\n  stroke: var(--jp-brand-color0);\n}\n\n.jp-icon-brand1[stroke] {\n  stroke: var(--jp-brand-color1);\n}\n\n.jp-icon-brand2[stroke] {\n  stroke: var(--jp-brand-color2);\n}\n\n.jp-icon-brand3[stroke] {\n  stroke: var(--jp-brand-color3);\n}\n\n.jp-icon-brand4[stroke] {\n  stroke: var(--jp-brand-color4);\n}\n\n/* warn icon colors. Same for light and dark */\n.jp-icon-warn0[fill] {\n  fill: var(--jp-warn-color0);\n}\n\n.jp-icon-warn1[fill] {\n  fill: var(--jp-warn-color1);\n}\n\n.jp-icon-warn2[fill] {\n  fill: var(--jp-warn-color2);\n}\n\n.jp-icon-warn3[fill] {\n  fill: var(--jp-warn-color3);\n}\n\n.jp-icon-warn0[stroke] {\n  stroke: var(--jp-warn-color0);\n}\n\n.jp-icon-warn1[stroke] {\n  stroke: var(--jp-warn-color1);\n}\n\n.jp-icon-warn2[stroke] {\n  stroke: var(--jp-warn-color2);\n}\n\n.jp-icon-warn3[stroke] {\n  stroke: var(--jp-warn-color3);\n}\n\n/* icon colors that contrast well with each other and most backgrounds */\n.jp-icon-contrast0[fill] {\n  fill: var(--jp-icon-contrast-color0);\n}\n\n.jp-icon-contrast1[fill] {\n  fill: var(--jp-icon-contrast-color1);\n}\n\n.jp-icon-contrast2[fill] {\n  fill: var(--jp-icon-contrast-color2);\n}\n\n.jp-icon-contrast3[fill] {\n  fill: var(--jp-icon-contrast-color3);\n}\n\n.jp-icon-contrast0[stroke] {\n  stroke: var(--jp-icon-contrast-color0);\n}\n\n.jp-icon-contrast1[stroke] {\n  stroke: var(--jp-icon-contrast-color1);\n}\n\n.jp-icon-contrast2[stroke] {\n  stroke: var(--jp-icon-contrast-color2);\n}\n\n.jp-icon-contrast3[stroke] {\n  stroke: var(--jp-icon-contrast-color3);\n}\n\n.jp-icon-dot[fill] {\n  fill: var(--jp-warn-color0);\n}\n\n.jp-jupyter-icon-color[fill] {\n  fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));\n}\n\n.jp-notebook-icon-color[fill] {\n  fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));\n}\n\n.jp-json-icon-color[fill] {\n  fill: var(--jp-json-icon-color, var(--jp-warn-color1));\n}\n\n.jp-console-icon-color[fill] {\n  fill: var(--jp-console-icon-color, white);\n}\n\n.jp-console-icon-background-color[fill] {\n  fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));\n}\n\n.jp-terminal-icon-color[fill] {\n  fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));\n}\n\n.jp-terminal-icon-background-color[fill] {\n  fill: var(\n    --jp-terminal-icon-background-color,\n    var(--jp-inverse-layout-color2)\n  );\n}\n\n.jp-text-editor-icon-color[fill] {\n  fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));\n}\n\n.jp-inspector-icon-color[fill] {\n  fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));\n}\n\n/* CSS for icons in selected filebrowser listing items */\n.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n\n.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n/* stylelint-disable selector-max-class, selector-max-compound-selectors */\n\n/**\n* TODO: come up with non css-hack solution for showing the busy icon on top\n*  of the close icon\n* CSS for complex behavior of close icon of tabs in the main area tabbar\n*/\n.lm-DockPanel-tabBar\n  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon3[fill] {\n  fill: none;\n}\n\n.lm-DockPanel-tabBar\n  .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty\n  > .lm-TabBar-tabCloseIcon\n  > :not(:hover)\n  > .jp-icon-busy[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n/* stylelint-enable selector-max-class, selector-max-compound-selectors */\n\n/* CSS for icons in status bar */\n#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {\n  fill: #fff;\n}\n\n#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {\n  fill: var(--jp-brand-color1);\n}\n\n/* special handling for splash icon CSS. While the theme CSS reloads during\n   splash, the splash icon can loose theming. To prevent that, we set a\n   default for its color variable */\n:root {\n  --jp-warn-color0: var(--md-orange-700);\n}\n\n/* not sure what to do with this one, used in filebrowser listing */\n.jp-DragIcon {\n  margin-right: 4px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/**\n * Support for alt colors for icons as inline SVG HTMLElements\n */\n\n/* alt recolor the primary elements of an icon */\n.jp-icon-alt .jp-icon0[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.jp-icon-alt .jp-icon1[fill] {\n  fill: var(--jp-layout-color1);\n}\n\n.jp-icon-alt .jp-icon2[fill] {\n  fill: var(--jp-layout-color2);\n}\n\n.jp-icon-alt .jp-icon3[fill] {\n  fill: var(--jp-layout-color3);\n}\n\n.jp-icon-alt .jp-icon4[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-alt .jp-icon0[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n\n.jp-icon-alt .jp-icon1[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n\n.jp-icon-alt .jp-icon2[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n\n.jp-icon-alt .jp-icon3[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n\n.jp-icon-alt .jp-icon4[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* alt recolor the accent elements of an icon */\n.jp-icon-alt .jp-icon-accent0[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-alt .jp-icon-accent1[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-alt .jp-icon-accent2[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-alt .jp-icon-accent3[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-alt .jp-icon-accent4[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-alt .jp-icon-accent0[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-alt .jp-icon-accent1[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-alt .jp-icon-accent2[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-alt .jp-icon-accent3[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-alt .jp-icon-accent4[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {\n  display: none !important;\n}\n\n/**\n * Support for hover colors for icons as inline SVG HTMLElements\n */\n\n/**\n * regular colors\n */\n\n/* recolor the primary elements of an icon */\n.jp-icon-hover :hover .jp-icon0-hover[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-hover :hover .jp-icon1-hover[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-hover :hover .jp-icon2-hover[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-hover :hover .jp-icon3-hover[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-hover :hover .jp-icon4-hover[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-hover :hover .jp-icon0-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-hover :hover .jp-icon1-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-hover :hover .jp-icon2-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-hover :hover .jp-icon3-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-hover :hover .jp-icon4-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/* recolor the accent elements of an icon */\n.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {\n  fill: var(--jp-layout-color1);\n}\n\n.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {\n  fill: var(--jp-layout-color2);\n}\n\n.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {\n  fill: var(--jp-layout-color3);\n}\n\n.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n\n.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n\n.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n\n.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n\n.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* set the color of an icon to transparent */\n.jp-icon-hover :hover .jp-icon-none-hover[fill] {\n  fill: none;\n}\n\n.jp-icon-hover :hover .jp-icon-none-hover[stroke] {\n  stroke: none;\n}\n\n/**\n * inverse colors\n */\n\n/* inverse recolor the primary elements of an icon */\n.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {\n  fill: var(--jp-layout-color1);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {\n  fill: var(--jp-layout-color2);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {\n  fill: var(--jp-layout-color3);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {\n  fill: var(--jp-layout-color4);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {\n  stroke: var(--jp-layout-color0);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {\n  stroke: var(--jp-layout-color1);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {\n  stroke: var(--jp-layout-color2);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {\n  stroke: var(--jp-layout-color3);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {\n  stroke: var(--jp-layout-color4);\n}\n\n/* inverse recolor the accent elements of an icon */\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {\n  fill: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {\n  fill: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {\n  fill: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {\n  fill: var(--jp-inverse-layout-color4);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color0);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color1);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color2);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color3);\n}\n\n.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {\n  stroke: var(--jp-inverse-layout-color4);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-IFrame {\n  width: 100%;\n  height: 100%;\n}\n\n.jp-IFrame > iframe {\n  border: none;\n}\n\n/*\nWhen drag events occur, `lm-mod-override-cursor` is added to the body.\nBecause iframes steal all cursor events, the following two rules are necessary\nto suppress pointer events while resize drags are occurring. There may be a\nbetter solution to this problem.\n*/\nbody.lm-mod-override-cursor .jp-IFrame {\n  position: relative;\n}\n\nbody.lm-mod-override-cursor .jp-IFrame::before {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  background: transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-HoverBox {\n  position: fixed;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-FormGroup-content fieldset {\n  border: none;\n  padding: 0;\n  min-width: 0;\n  width: 100%;\n}\n\n/* stylelint-disable selector-max-type */\n\n.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,\n.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,\n.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {\n  font-size: var(--jp-content-font-size2);\n  border-color: var(--jp-input-border-color);\n  border-style: solid;\n  border-radius: var(--jp-border-radius);\n  border-width: 1px;\n  padding: 6px 8px;\n  background: none;\n  color: var(--jp-ui-font-color0);\n  height: inherit;\n}\n\n.jp-FormGroup-content fieldset input[type='checkbox'] {\n  position: relative;\n  top: 2px;\n  margin-left: 0;\n}\n\n.jp-FormGroup-content button.jp-mod-styled {\n  cursor: pointer;\n}\n\n.jp-FormGroup-content .checkbox label {\n  cursor: pointer;\n  font-size: var(--jp-content-font-size1);\n}\n\n.jp-FormGroup-content .jp-root > fieldset > legend {\n  display: none;\n}\n\n.jp-FormGroup-content .jp-root > fieldset > p {\n  display: none;\n}\n\n/** copy of `input.jp-mod-styled:focus` style */\n.jp-FormGroup-content fieldset input:focus,\n.jp-FormGroup-content fieldset select:focus {\n  -moz-outline-radius: unset;\n  outline: var(--jp-border-width) solid var(--md-blue-500);\n  outline-offset: -1px;\n  box-shadow: inset 0 0 4px var(--md-blue-300);\n}\n\n.jp-FormGroup-content fieldset input:hover:not(:focus),\n.jp-FormGroup-content fieldset select:hover:not(:focus) {\n  background-color: var(--jp-border-color2);\n}\n\n/* stylelint-enable selector-max-type */\n\n.jp-FormGroup-content .checkbox .field-description {\n  /* Disable default description field for checkbox:\n   because other widgets do not have description fields,\n   we add descriptions to each widget on the field level.\n  */\n  display: none;\n}\n\n.jp-FormGroup-content #root__description {\n  display: none;\n}\n\n.jp-FormGroup-content .jp-modifiedIndicator {\n  width: 5px;\n  background-color: var(--jp-brand-color2);\n  margin-top: 0;\n  margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);\n  flex-shrink: 0;\n}\n\n.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {\n  background-color: var(--jp-error-color0);\n  margin-right: 0.5em;\n}\n\n/* RJSF ARRAY style */\n\n.jp-arrayFieldWrapper legend {\n  font-size: var(--jp-content-font-size2);\n  color: var(--jp-ui-font-color0);\n  flex-basis: 100%;\n  padding: 4px 0;\n  font-weight: var(--jp-content-heading-font-weight);\n  border-bottom: 1px solid var(--jp-border-color2);\n}\n\n.jp-arrayFieldWrapper .field-description {\n  padding: 4px 0;\n  white-space: pre-wrap;\n}\n\n.jp-arrayFieldWrapper .array-item {\n  width: 100%;\n  border: 1px solid var(--jp-border-color2);\n  border-radius: 4px;\n  margin: 4px;\n}\n\n.jp-ArrayOperations {\n  display: flex;\n  margin-left: 8px;\n}\n\n.jp-ArrayOperationsButton {\n  margin: 2px;\n}\n\n.jp-ArrayOperationsButton .jp-icon3[fill] {\n  fill: var(--jp-ui-font-color0);\n}\n\nbutton.jp-ArrayOperationsButton.jp-mod-styled:disabled {\n  cursor: not-allowed;\n  opacity: 0.5;\n}\n\n/* RJSF form validation error */\n\n.jp-FormGroup-content .validationErrors {\n  color: var(--jp-error-color0);\n}\n\n/* Hide panel level error as duplicated the field level error */\n.jp-FormGroup-content .panel.errors {\n  display: none;\n}\n\n/* RJSF normal content (settings-editor) */\n\n.jp-FormGroup-contentNormal {\n  display: flex;\n  align-items: center;\n  flex-wrap: wrap;\n}\n\n.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {\n  margin-left: 7px;\n  color: var(--jp-ui-font-color0);\n}\n\n.jp-FormGroup-contentNormal .jp-FormGroup-description {\n  flex-basis: 100%;\n  padding: 4px 7px;\n}\n\n.jp-FormGroup-contentNormal .jp-FormGroup-default {\n  flex-basis: 100%;\n  padding: 4px 7px;\n}\n\n.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {\n  font-size: var(--jp-content-font-size1);\n  font-weight: normal;\n  min-width: 120px;\n}\n\n.jp-FormGroup-contentNormal fieldset:not(:first-child) {\n  margin-left: 7px;\n}\n\n.jp-FormGroup-contentNormal .field-array-of-string .array-item {\n  /* Display `jp-ArrayOperations` buttons side-by-side with content except\n    for small screens where flex-wrap will place them one below the other.\n  */\n  display: flex;\n  align-items: center;\n  flex-wrap: wrap;\n}\n\n.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {\n  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);\n  margin-top: 2px;\n}\n\n/* RJSF compact content (metadata-form) */\n\n.jp-FormGroup-content.jp-FormGroup-contentCompact {\n  width: 100%;\n}\n\n.jp-FormGroup-contentCompact .form-group {\n  display: flex;\n  padding: 0.5em 0.2em 0.5em 0;\n}\n\n.jp-FormGroup-contentCompact\n  .jp-FormGroup-compactTitle\n  .jp-FormGroup-description {\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color2);\n}\n\n.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {\n  padding-bottom: 0.3em;\n}\n\n.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {\n  width: 100%;\n  box-sizing: border-box;\n}\n\n.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {\n  padding-bottom: 7px;\n}\n\n.jp-FormGroup-contentCompact\n  .jp-objectFieldWrapper\n  .jp-objectFieldWrapper\n  .form-group {\n  padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);\n  margin-top: 2px;\n}\n\n.jp-FormGroup-contentCompact ul.error-detail {\n  margin-block-start: 0.5em;\n  margin-block-end: 0.5em;\n  padding-inline-start: 1em;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.jp-SidePanel {\n  display: flex;\n  flex-direction: column;\n  min-width: var(--jp-sidebar-min-width);\n  overflow-y: auto;\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n  font-size: var(--jp-ui-font-size1);\n}\n\n.jp-SidePanel-header {\n  flex: 0 0 auto;\n  display: flex;\n  border-bottom: var(--jp-border-width) solid var(--jp-border-color2);\n  font-size: var(--jp-ui-font-size0);\n  font-weight: 600;\n  letter-spacing: 1px;\n  margin: 0;\n  padding: 2px;\n  text-transform: uppercase;\n}\n\n.jp-SidePanel-toolbar {\n  flex: 0 0 auto;\n}\n\n.jp-SidePanel-content {\n  flex: 1 1 auto;\n}\n\n.jp-SidePanel-toolbar,\n.jp-AccordionPanel-toolbar {\n  height: var(--jp-private-toolbar-height);\n}\n\n.jp-SidePanel-toolbar.jp-Toolbar-micro {\n  display: none;\n}\n\n.lm-AccordionPanel .jp-AccordionPanel-title {\n  box-sizing: border-box;\n  line-height: 25px;\n  margin: 0;\n  display: flex;\n  align-items: center;\n  background: var(--jp-layout-color1);\n  color: var(--jp-ui-font-color1);\n  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  font-size: var(--jp-ui-font-size0);\n}\n\n.jp-AccordionPanel-title {\n  cursor: pointer;\n  user-select: none;\n  -moz-user-select: none;\n  -webkit-user-select: none;\n  text-transform: uppercase;\n}\n\n.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {\n  /* Title is rotated for horizontal accordion panel using CSS */\n  display: block;\n  transform-origin: top left;\n  transform: rotate(-90deg) translate(-100%);\n}\n\n.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {\n  user-select: none;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n  overflow: hidden;\n}\n\n.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {\n  transform: rotate(-90deg);\n  margin: auto 0;\n  height: 16px;\n}\n\n.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {\n  transform: rotate(0deg);\n}\n\n.lm-AccordionPanel .jp-AccordionPanel-toolbar {\n  background: none;\n  box-shadow: none;\n  border: none;\n  margin-left: auto;\n}\n\n.lm-AccordionPanel .lm-SplitPanel-handle:hover {\n  background: var(--jp-layout-color3);\n}\n\n.jp-text-truncated {\n  overflow: hidden;\n  text-overflow: ellipsis;\n  white-space: nowrap;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Spinner {\n  position: absolute;\n  display: flex;\n  justify-content: center;\n  align-items: center;\n  z-index: 10;\n  left: 0;\n  top: 0;\n  width: 100%;\n  height: 100%;\n  background: var(--jp-layout-color0);\n  outline: none;\n}\n\n.jp-SpinnerContent {\n  font-size: 10px;\n  margin: 50px auto;\n  text-indent: -9999em;\n  width: 3em;\n  height: 3em;\n  border-radius: 50%;\n  background: var(--jp-brand-color3);\n  background: linear-gradient(\n    to right,\n    #f37626 10%,\n    rgba(255, 255, 255, 0) 42%\n  );\n  position: relative;\n  animation: load3 1s infinite linear, fadeIn 1s;\n}\n\n.jp-SpinnerContent::before {\n  width: 50%;\n  height: 50%;\n  background: #f37626;\n  border-radius: 100% 0 0;\n  position: absolute;\n  top: 0;\n  left: 0;\n  content: '';\n}\n\n.jp-SpinnerContent::after {\n  background: var(--jp-layout-color0);\n  width: 75%;\n  height: 75%;\n  border-radius: 50%;\n  content: '';\n  margin: auto;\n  position: absolute;\n  top: 0;\n  left: 0;\n  bottom: 0;\n  right: 0;\n}\n\n@keyframes fadeIn {\n  0% {\n    opacity: 0;\n  }\n\n  100% {\n    opacity: 1;\n  }\n}\n\n@keyframes load3 {\n  0% {\n    transform: rotate(0deg);\n  }\n\n  100% {\n    transform: rotate(360deg);\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\nbutton.jp-mod-styled {\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  border: none;\n  box-sizing: border-box;\n  text-align: center;\n  line-height: 32px;\n  height: 32px;\n  padding: 0 12px;\n  letter-spacing: 0.8px;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\ninput.jp-mod-styled {\n  background: var(--jp-input-background);\n  height: 28px;\n  box-sizing: border-box;\n  border: var(--jp-border-width) solid var(--jp-border-color1);\n  padding-left: 7px;\n  padding-right: 7px;\n  font-size: var(--jp-ui-font-size2);\n  color: var(--jp-ui-font-color0);\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\ninput[type='checkbox'].jp-mod-styled {\n  appearance: checkbox;\n  -webkit-appearance: checkbox;\n  -moz-appearance: checkbox;\n  height: auto;\n}\n\ninput.jp-mod-styled:focus {\n  border: var(--jp-border-width) solid var(--md-blue-500);\n  box-shadow: inset 0 0 4px var(--md-blue-300);\n}\n\n.jp-select-wrapper {\n  display: flex;\n  position: relative;\n  flex-direction: column;\n  padding: 1px;\n  background-color: var(--jp-layout-color1);\n  box-sizing: border-box;\n  margin-bottom: 12px;\n}\n\n.jp-select-wrapper:not(.multiple) {\n  height: 28px;\n}\n\n.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {\n  border: var(--jp-border-width) solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n  background-color: var(--jp-input-active-background);\n}\n\nselect.jp-mod-styled:hover {\n  cursor: pointer;\n  color: var(--jp-ui-font-color0);\n  background-color: var(--jp-input-hover-background);\n  box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);\n}\n\nselect.jp-mod-styled {\n  flex: 1 1 auto;\n  width: 100%;\n  font-size: var(--jp-ui-font-size2);\n  background: var(--jp-input-background);\n  color: var(--jp-ui-font-color0);\n  padding: 0 25px 0 8px;\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  border-radius: 0;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n}\n\nselect.jp-mod-styled:not([multiple]) {\n  height: 32px;\n}\n\nselect.jp-mod-styled[multiple] {\n  max-height: 200px;\n  overflow-y: auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-switch {\n  display: flex;\n  align-items: center;\n  padding-left: 4px;\n  padding-right: 4px;\n  font-size: var(--jp-ui-font-size1);\n  background-color: transparent;\n  color: var(--jp-ui-font-color1);\n  border: none;\n  height: 20px;\n}\n\n.jp-switch:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-switch-label {\n  margin-right: 5px;\n  font-family: var(--jp-ui-font-family);\n}\n\n.jp-switch-track {\n  cursor: pointer;\n  background-color: var(--jp-switch-color, var(--jp-border-color1));\n  -webkit-transition: 0.4s;\n  transition: 0.4s;\n  border-radius: 34px;\n  height: 16px;\n  width: 35px;\n  position: relative;\n}\n\n.jp-switch-track::before {\n  content: '';\n  position: absolute;\n  height: 10px;\n  width: 10px;\n  margin: 3px;\n  left: 0;\n  background-color: var(--jp-ui-inverse-font-color1);\n  -webkit-transition: 0.4s;\n  transition: 0.4s;\n  border-radius: 50%;\n}\n\n.jp-switch[aria-checked='true'] .jp-switch-track {\n  background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));\n}\n\n.jp-switch[aria-checked='true'] .jp-switch-track::before {\n  /* track width (35) - margins (3 + 3) - thumb width (10) */\n  left: 19px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-toolbar-height: calc(\n    28px + var(--jp-border-width)\n  ); /* leave 28px for content */\n}\n\n.jp-Toolbar {\n  color: var(--jp-ui-font-color1);\n  flex: 0 0 auto;\n  display: flex;\n  flex-direction: row;\n  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  background: var(--jp-toolbar-background);\n  min-height: var(--jp-toolbar-micro-height);\n  padding: 2px;\n  z-index: 8;\n  overflow-x: hidden;\n}\n\n/* Toolbar items */\n\n.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {\n  flex-grow: 1;\n  flex-shrink: 1;\n}\n\n.jp-Toolbar-item.jp-Toolbar-kernelStatus {\n  display: inline-block;\n  width: 32px;\n  background-repeat: no-repeat;\n  background-position: center;\n  background-size: 16px;\n}\n\n.jp-Toolbar > .jp-Toolbar-item {\n  flex: 0 0 auto;\n  display: flex;\n  padding-left: 1px;\n  padding-right: 1px;\n  font-size: var(--jp-ui-font-size1);\n  line-height: var(--jp-private-toolbar-height);\n  height: 100%;\n}\n\n/* Toolbar buttons */\n\n/* This is the div we use to wrap the react component into a Widget */\ndiv.jp-ToolbarButton {\n  color: transparent;\n  border: none;\n  box-sizing: border-box;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  padding: 0;\n  margin: 0;\n}\n\nbutton.jp-ToolbarButtonComponent {\n  background: var(--jp-layout-color1);\n  border: none;\n  box-sizing: border-box;\n  outline: none;\n  appearance: none;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  padding: 0 6px;\n  margin: 0;\n  height: 24px;\n  border-radius: var(--jp-border-radius);\n  display: flex;\n  align-items: center;\n  text-align: center;\n  font-size: 14px;\n  min-width: unset;\n  min-height: unset;\n}\n\nbutton.jp-ToolbarButtonComponent:disabled {\n  opacity: 0.4;\n}\n\nbutton.jp-ToolbarButtonComponent > span {\n  padding: 0;\n  flex: 0 0 auto;\n}\n\nbutton.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {\n  font-size: var(--jp-ui-font-size1);\n  line-height: 100%;\n  padding-left: 2px;\n  color: var(--jp-ui-font-color1);\n  font-family: var(--jp-ui-font-family);\n}\n\n#jp-main-dock-panel[data-mode='single-document']\n  .jp-MainAreaWidget\n  > .jp-Toolbar.jp-Toolbar-micro {\n  padding: 0;\n  min-height: 0;\n}\n\n#jp-main-dock-panel[data-mode='single-document']\n  .jp-MainAreaWidget\n  > .jp-Toolbar {\n  border: none;\n  box-shadow: none;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.jp-WindowedPanel-outer {\n  position: relative;\n  overflow-y: auto;\n}\n\n.jp-WindowedPanel-inner {\n  position: relative;\n}\n\n.jp-WindowedPanel-window {\n  position: absolute;\n  left: 0;\n  right: 0;\n  overflow: visible;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/* Sibling imports */\n\nbody {\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n}\n\n/* Disable native link decoration styles everywhere outside of dialog boxes */\na {\n  text-decoration: unset;\n  color: unset;\n}\n\na:hover {\n  text-decoration: unset;\n  color: unset;\n}\n\n/* Accessibility for links inside dialog box text */\n.jp-Dialog-content a {\n  text-decoration: revert;\n  color: var(--jp-content-link-color);\n}\n\n.jp-Dialog-content a:hover {\n  text-decoration: revert;\n}\n\n/* Styles for ui-components */\n.jp-Button {\n  color: var(--jp-ui-font-color2);\n  border-radius: var(--jp-border-radius);\n  padding: 0 12px;\n  font-size: var(--jp-ui-font-size1);\n\n  /* Copy from blueprint 3 */\n  display: inline-flex;\n  flex-direction: row;\n  border: none;\n  cursor: pointer;\n  align-items: center;\n  justify-content: center;\n  text-align: left;\n  vertical-align: middle;\n  min-height: 30px;\n  min-width: 30px;\n}\n\n.jp-Button:disabled {\n  cursor: not-allowed;\n}\n\n.jp-Button:empty {\n  padding: 0 !important;\n}\n\n.jp-Button.jp-mod-small {\n  min-height: 24px;\n  min-width: 24px;\n  font-size: 12px;\n  padding: 0 7px;\n}\n\n/* Use our own theme for hover styles */\n.jp-Button.jp-mod-minimal:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-Button.jp-mod-minimal {\n  background: none;\n}\n\n.jp-InputGroup {\n  display: block;\n  position: relative;\n}\n\n.jp-InputGroup input {\n  box-sizing: border-box;\n  border: none;\n  border-radius: 0;\n  background-color: transparent;\n  color: var(--jp-ui-font-color0);\n  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);\n  padding-bottom: 0;\n  padding-top: 0;\n  padding-left: 10px;\n  padding-right: 28px;\n  position: relative;\n  width: 100%;\n  -webkit-appearance: none;\n  -moz-appearance: none;\n  appearance: none;\n  font-size: 14px;\n  font-weight: 400;\n  height: 30px;\n  line-height: 30px;\n  outline: none;\n  vertical-align: middle;\n}\n\n.jp-InputGroup input:focus {\n  box-shadow: inset 0 0 0 var(--jp-border-width)\n      var(--jp-input-active-box-shadow-color),\n    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);\n}\n\n.jp-InputGroup input:disabled {\n  cursor: not-allowed;\n  resize: block;\n  background-color: var(--jp-layout-color2);\n  color: var(--jp-ui-font-color2);\n}\n\n.jp-InputGroup input:disabled ~ span {\n  cursor: not-allowed;\n  color: var(--jp-ui-font-color2);\n}\n\n.jp-InputGroup input::placeholder,\ninput::placeholder {\n  color: var(--jp-ui-font-color2);\n}\n\n.jp-InputGroupAction {\n  position: absolute;\n  bottom: 1px;\n  right: 0;\n  padding: 6px;\n}\n\n.jp-HTMLSelect.jp-DefaultStyle select {\n  background-color: initial;\n  border: none;\n  border-radius: 0;\n  box-shadow: none;\n  color: var(--jp-ui-font-color0);\n  display: block;\n  font-size: var(--jp-ui-font-size1);\n  font-family: var(--jp-ui-font-family);\n  height: 24px;\n  line-height: 14px;\n  padding: 0 25px 0 10px;\n  text-align: left;\n  -moz-appearance: none;\n  -webkit-appearance: none;\n}\n\n.jp-HTMLSelect.jp-DefaultStyle select:disabled {\n  background-color: var(--jp-layout-color2);\n  color: var(--jp-ui-font-color2);\n  cursor: not-allowed;\n  resize: block;\n}\n\n.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {\n  cursor: not-allowed;\n}\n\n/* Use our own theme for hover and option styles */\n/* stylelint-disable-next-line selector-max-type */\n.jp-HTMLSelect.jp-DefaultStyle select:hover,\n.jp-HTMLSelect.jp-DefaultStyle select > option {\n  background-color: var(--jp-layout-color2);\n  color: var(--jp-ui-font-color0);\n}\n\nselect {\n  box-sizing: border-box;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Styles\n|----------------------------------------------------------------------------*/\n\n.jp-StatusBar-Widget {\n  display: flex;\n  align-items: center;\n  background: var(--jp-layout-color2);\n  min-height: var(--jp-statusbar-height);\n  justify-content: space-between;\n  padding: 0 10px;\n}\n\n.jp-StatusBar-Left {\n  display: flex;\n  align-items: center;\n  flex-direction: row;\n}\n\n.jp-StatusBar-Middle {\n  display: flex;\n  align-items: center;\n}\n\n.jp-StatusBar-Right {\n  display: flex;\n  align-items: center;\n  flex-direction: row-reverse;\n}\n\n.jp-StatusBar-Item {\n  max-height: var(--jp-statusbar-height);\n  margin: 0 2px;\n  height: var(--jp-statusbar-height);\n  white-space: nowrap;\n  text-overflow: ellipsis;\n  color: var(--jp-ui-font-color1);\n  padding: 0 6px;\n}\n\n.jp-mod-highlighted:hover {\n  background-color: var(--jp-layout-color3);\n}\n\n.jp-mod-clicked {\n  background-color: var(--jp-brand-color1);\n}\n\n.jp-mod-clicked:hover {\n  background-color: var(--jp-brand-color0);\n}\n\n.jp-mod-clicked .jp-StatusBar-TextItem {\n  color: var(--jp-ui-inverse-font-color1);\n}\n\n.jp-StatusBar-HoverItem {\n  box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';\n}\n\n.jp-StatusBar-TextItem {\n  font-size: var(--jp-ui-font-size1);\n  font-family: var(--jp-ui-font-family);\n  line-height: 24px;\n  color: var(--jp-ui-font-color1);\n}\n\n.jp-StatusBar-GroupItem {\n  display: flex;\n  align-items: center;\n  flex-direction: row;\n}\n\n.jp-Statusbar-ProgressCircle svg {\n  display: block;\n  margin: 0 auto;\n  width: 16px;\n  height: 24px;\n  align-self: normal;\n}\n\n.jp-Statusbar-ProgressCircle path {\n  fill: var(--jp-inverse-layout-color3);\n}\n\n.jp-Statusbar-ProgressBar-progress-bar {\n  height: 10px;\n  width: 100px;\n  border: solid 0.25px var(--jp-brand-color2);\n  border-radius: 3px;\n  overflow: hidden;\n  align-self: center;\n}\n\n.jp-Statusbar-ProgressBar-progress-bar > div {\n  background-color: var(--jp-brand-color2);\n  background-image: linear-gradient(\n    -45deg,\n    rgba(255, 255, 255, 0.2) 25%,\n    transparent 25%,\n    transparent 50%,\n    rgba(255, 255, 255, 0.2) 50%,\n    rgba(255, 255, 255, 0.2) 75%,\n    transparent 75%,\n    transparent\n  );\n  background-size: 40px 40px;\n  float: left;\n  width: 0%;\n  height: 100%;\n  font-size: 12px;\n  line-height: 14px;\n  color: #fff;\n  text-align: center;\n  animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;\n}\n\n.jp-Statusbar-ProgressBar-progress-bar p {\n  color: var(--jp-ui-font-color1);\n  font-family: var(--jp-ui-font-family);\n  font-size: var(--jp-ui-font-size1);\n  line-height: 10px;\n  width: 100px;\n}\n\n@keyframes jp-Statusbar-ExecutionTime-progress-bar {\n  0% {\n    background-position: 0 0;\n  }\n\n  100% {\n    background-position: 40px 40px;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-commandpalette-search-height: 28px;\n}\n\n/*-----------------------------------------------------------------------------\n| Overall styles\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette {\n  padding-bottom: 0;\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n\n  /* This is needed so that all font sizing of children done in ems is\n   * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n}\n\n/*-----------------------------------------------------------------------------\n| Modal variant\n|----------------------------------------------------------------------------*/\n\n.jp-ModalCommandPalette {\n  position: absolute;\n  z-index: 10000;\n  top: 38px;\n  left: 30%;\n  margin: 0;\n  padding: 4px;\n  width: 40%;\n  box-shadow: var(--jp-elevation-z4);\n  border-radius: 4px;\n  background: var(--jp-layout-color0);\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette {\n  max-height: 40vh;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {\n  display: none;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {\n  display: none;\n}\n\n.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {\n  margin-left: 4px;\n  margin-right: 4px;\n}\n\n.jp-ModalCommandPalette\n  .lm-CommandPalette\n  .lm-CommandPalette-item.lm-mod-disabled {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Search\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette-search {\n  padding: 4px;\n  background-color: var(--jp-layout-color1);\n  z-index: 2;\n}\n\n.lm-CommandPalette-wrapper {\n  overflow: overlay;\n  padding: 0 9px;\n  background-color: var(--jp-input-active-background);\n  height: 30px;\n  box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);\n}\n\n.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {\n  box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),\n    inset 0 0 0 3px var(--jp-input-active-box-shadow-color);\n}\n\n.jp-SearchIconGroup {\n  color: white;\n  background-color: var(--jp-brand-color1);\n  position: absolute;\n  top: 4px;\n  right: 4px;\n  padding: 5px 5px 1px;\n}\n\n.jp-SearchIconGroup svg {\n  height: 20px;\n  width: 20px;\n}\n\n.jp-SearchIconGroup .jp-icon3[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.lm-CommandPalette-input {\n  background: transparent;\n  width: calc(100% - 18px);\n  float: left;\n  border: none;\n  outline: none;\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  line-height: var(--jp-private-commandpalette-search-height);\n}\n\n.lm-CommandPalette-input::-webkit-input-placeholder,\n.lm-CommandPalette-input::-moz-placeholder,\n.lm-CommandPalette-input:-ms-input-placeholder {\n  color: var(--jp-ui-font-color2);\n  font-size: var(--jp-ui-font-size1);\n}\n\n/*-----------------------------------------------------------------------------\n| Results\n|----------------------------------------------------------------------------*/\n\n.lm-CommandPalette-header:first-child {\n  margin-top: 0;\n}\n\n.lm-CommandPalette-header {\n  border-bottom: solid var(--jp-border-width) var(--jp-border-color2);\n  color: var(--jp-ui-font-color1);\n  cursor: pointer;\n  display: flex;\n  font-size: var(--jp-ui-font-size0);\n  font-weight: 600;\n  letter-spacing: 1px;\n  margin-top: 8px;\n  padding: 8px 0 8px 12px;\n  text-transform: uppercase;\n}\n\n.lm-CommandPalette-header.lm-mod-active {\n  background: var(--jp-layout-color2);\n}\n\n.lm-CommandPalette-header > mark {\n  background-color: transparent;\n  font-weight: bold;\n  color: var(--jp-ui-font-color1);\n}\n\n.lm-CommandPalette-item {\n  padding: 4px 12px 4px 4px;\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n  font-weight: 400;\n  display: flex;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled {\n  color: var(--jp-ui-font-color2);\n}\n\n.lm-CommandPalette-item.lm-mod-active {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {\n  fill: var(--jp-layout-color0);\n}\n\n.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {\n  background: var(--jp-layout-color2);\n}\n\n.lm-CommandPalette-itemContent {\n  overflow: hidden;\n}\n\n.lm-CommandPalette-itemLabel > mark {\n  color: var(--jp-ui-font-color0);\n  background-color: transparent;\n  font-weight: bold;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled mark {\n  color: var(--jp-ui-font-color2);\n}\n\n.lm-CommandPalette-item .lm-CommandPalette-itemIcon {\n  margin: 0 4px 0 0;\n  position: relative;\n  width: 16px;\n  top: 2px;\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {\n  opacity: 0.6;\n}\n\n.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {\n  flex: 0 0 auto;\n}\n\n.lm-CommandPalette-itemCaption {\n  display: none;\n}\n\n.lm-CommandPalette-content {\n  background-color: var(--jp-layout-color1);\n}\n\n.lm-CommandPalette-content:empty::after {\n  content: 'No results';\n  margin: auto;\n  margin-top: 20px;\n  width: 100px;\n  display: block;\n  font-size: var(--jp-ui-font-size2);\n  font-family: var(--jp-ui-font-family);\n  font-weight: lighter;\n}\n\n.lm-CommandPalette-emptyMessage {\n  text-align: center;\n  margin-top: 24px;\n  line-height: 1.32;\n  padding: 0 8px;\n  color: var(--jp-content-font-color3);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Dialog {\n  position: absolute;\n  z-index: 10000;\n  display: flex;\n  flex-direction: column;\n  align-items: center;\n  justify-content: center;\n  top: 0;\n  left: 0;\n  margin: 0;\n  padding: 0;\n  width: 100%;\n  height: 100%;\n  background: var(--jp-dialog-background);\n}\n\n.jp-Dialog-content {\n  display: flex;\n  flex-direction: column;\n  margin-left: auto;\n  margin-right: auto;\n  background: var(--jp-layout-color1);\n  padding: 24px 24px 12px;\n  min-width: 300px;\n  min-height: 150px;\n  max-width: 1000px;\n  max-height: 500px;\n  box-sizing: border-box;\n  box-shadow: var(--jp-elevation-z20);\n  word-wrap: break-word;\n  border-radius: var(--jp-border-radius);\n\n  /* This is needed so that all font sizing of children done in ems is\n   * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color1);\n  resize: both;\n}\n\n.jp-Dialog-content.jp-Dialog-content-small {\n  max-width: 500px;\n}\n\n.jp-Dialog-button {\n  overflow: visible;\n}\n\nbutton.jp-Dialog-button:focus {\n  outline: 1px solid var(--jp-brand-color1);\n  outline-offset: 4px;\n  -moz-outline-radius: 0;\n}\n\nbutton.jp-Dialog-button:focus::-moz-focus-inner {\n  border: 0;\n}\n\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {\n  outline-offset: 4px;\n  -moz-outline-radius: 0;\n}\n\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {\n  outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));\n}\n\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {\n  outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));\n}\n\nbutton.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {\n  outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));\n}\n\nbutton.jp-Dialog-close-button {\n  padding: 0;\n  height: 100%;\n  min-width: unset;\n  min-height: unset;\n}\n\n.jp-Dialog-header {\n  display: flex;\n  justify-content: space-between;\n  flex: 0 0 auto;\n  padding-bottom: 12px;\n  font-size: var(--jp-ui-font-size3);\n  font-weight: 400;\n  color: var(--jp-ui-font-color1);\n}\n\n.jp-Dialog-body {\n  display: flex;\n  flex-direction: column;\n  flex: 1 1 auto;\n  font-size: var(--jp-ui-font-size1);\n  background: var(--jp-layout-color1);\n  color: var(--jp-ui-font-color1);\n  overflow: auto;\n}\n\n.jp-Dialog-footer {\n  display: flex;\n  flex-direction: row;\n  justify-content: flex-end;\n  align-items: center;\n  flex: 0 0 auto;\n  margin-left: -12px;\n  margin-right: -12px;\n  padding: 12px;\n}\n\n.jp-Dialog-checkbox {\n  padding-right: 5px;\n}\n\n.jp-Dialog-checkbox > input:focus-visible {\n  outline: 1px solid var(--jp-input-active-border-color);\n  outline-offset: 1px;\n}\n\n.jp-Dialog-spacer {\n  flex: 1 1 auto;\n}\n\n.jp-Dialog-title {\n  overflow: hidden;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n}\n\n.jp-Dialog-body > .jp-select-wrapper {\n  width: 100%;\n}\n\n.jp-Dialog-body > button {\n  padding: 0 16px;\n}\n\n.jp-Dialog-body > label {\n  line-height: 1.4;\n  color: var(--jp-ui-font-color0);\n}\n\n.jp-Dialog-button.jp-mod-styled:not(:last-child) {\n  margin-right: 12px;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.jp-Input-Boolean-Dialog {\n  flex-direction: row-reverse;\n  align-items: end;\n  width: 100%;\n}\n\n.jp-Input-Boolean-Dialog > label {\n  flex: 1 1 auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-MainAreaWidget > :focus {\n  outline: none;\n}\n\n.jp-MainAreaWidget .jp-MainAreaWidget-error {\n  padding: 6px;\n}\n\n.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {\n  width: auto;\n  padding: 10px;\n  background: var(--jp-error-color3);\n  border: var(--jp-border-width) solid var(--jp-error-color1);\n  border-radius: var(--jp-border-radius);\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n  white-space: pre-wrap;\n  word-wrap: break-word;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/**\n * google-material-color v1.2.6\n * https://github.com/danlevan/google-material-color\n */\n:root {\n  --md-red-50: #ffebee;\n  --md-red-100: #ffcdd2;\n  --md-red-200: #ef9a9a;\n  --md-red-300: #e57373;\n  --md-red-400: #ef5350;\n  --md-red-500: #f44336;\n  --md-red-600: #e53935;\n  --md-red-700: #d32f2f;\n  --md-red-800: #c62828;\n  --md-red-900: #b71c1c;\n  --md-red-A100: #ff8a80;\n  --md-red-A200: #ff5252;\n  --md-red-A400: #ff1744;\n  --md-red-A700: #d50000;\n  --md-pink-50: #fce4ec;\n  --md-pink-100: #f8bbd0;\n  --md-pink-200: #f48fb1;\n  --md-pink-300: #f06292;\n  --md-pink-400: #ec407a;\n  --md-pink-500: #e91e63;\n  --md-pink-600: #d81b60;\n  --md-pink-700: #c2185b;\n  --md-pink-800: #ad1457;\n  --md-pink-900: #880e4f;\n  --md-pink-A100: #ff80ab;\n  --md-pink-A200: #ff4081;\n  --md-pink-A400: #f50057;\n  --md-pink-A700: #c51162;\n  --md-purple-50: #f3e5f5;\n  --md-purple-100: #e1bee7;\n  --md-purple-200: #ce93d8;\n  --md-purple-300: #ba68c8;\n  --md-purple-400: #ab47bc;\n  --md-purple-500: #9c27b0;\n  --md-purple-600: #8e24aa;\n  --md-purple-700: #7b1fa2;\n  --md-purple-800: #6a1b9a;\n  --md-purple-900: #4a148c;\n  --md-purple-A100: #ea80fc;\n  --md-purple-A200: #e040fb;\n  --md-purple-A400: #d500f9;\n  --md-purple-A700: #a0f;\n  --md-deep-purple-50: #ede7f6;\n  --md-deep-purple-100: #d1c4e9;\n  --md-deep-purple-200: #b39ddb;\n  --md-deep-purple-300: #9575cd;\n  --md-deep-purple-400: #7e57c2;\n  --md-deep-purple-500: #673ab7;\n  --md-deep-purple-600: #5e35b1;\n  --md-deep-purple-700: #512da8;\n  --md-deep-purple-800: #4527a0;\n  --md-deep-purple-900: #311b92;\n  --md-deep-purple-A100: #b388ff;\n  --md-deep-purple-A200: #7c4dff;\n  --md-deep-purple-A400: #651fff;\n  --md-deep-purple-A700: #6200ea;\n  --md-indigo-50: #e8eaf6;\n  --md-indigo-100: #c5cae9;\n  --md-indigo-200: #9fa8da;\n  --md-indigo-300: #7986cb;\n  --md-indigo-400: #5c6bc0;\n  --md-indigo-500: #3f51b5;\n  --md-indigo-600: #3949ab;\n  --md-indigo-700: #303f9f;\n  --md-indigo-800: #283593;\n  --md-indigo-900: #1a237e;\n  --md-indigo-A100: #8c9eff;\n  --md-indigo-A200: #536dfe;\n  --md-indigo-A400: #3d5afe;\n  --md-indigo-A700: #304ffe;\n  --md-blue-50: #e3f2fd;\n  --md-blue-100: #bbdefb;\n  --md-blue-200: #90caf9;\n  --md-blue-300: #64b5f6;\n  --md-blue-400: #42a5f5;\n  --md-blue-500: #2196f3;\n  --md-blue-600: #1e88e5;\n  --md-blue-700: #1976d2;\n  --md-blue-800: #1565c0;\n  --md-blue-900: #0d47a1;\n  --md-blue-A100: #82b1ff;\n  --md-blue-A200: #448aff;\n  --md-blue-A400: #2979ff;\n  --md-blue-A700: #2962ff;\n  --md-light-blue-50: #e1f5fe;\n  --md-light-blue-100: #b3e5fc;\n  --md-light-blue-200: #81d4fa;\n  --md-light-blue-300: #4fc3f7;\n  --md-light-blue-400: #29b6f6;\n  --md-light-blue-500: #03a9f4;\n  --md-light-blue-600: #039be5;\n  --md-light-blue-700: #0288d1;\n  --md-light-blue-800: #0277bd;\n  --md-light-blue-900: #01579b;\n  --md-light-blue-A100: #80d8ff;\n  --md-light-blue-A200: #40c4ff;\n  --md-light-blue-A400: #00b0ff;\n  --md-light-blue-A700: #0091ea;\n  --md-cyan-50: #e0f7fa;\n  --md-cyan-100: #b2ebf2;\n  --md-cyan-200: #80deea;\n  --md-cyan-300: #4dd0e1;\n  --md-cyan-400: #26c6da;\n  --md-cyan-500: #00bcd4;\n  --md-cyan-600: #00acc1;\n  --md-cyan-700: #0097a7;\n  --md-cyan-800: #00838f;\n  --md-cyan-900: #006064;\n  --md-cyan-A100: #84ffff;\n  --md-cyan-A200: #18ffff;\n  --md-cyan-A400: #00e5ff;\n  --md-cyan-A700: #00b8d4;\n  --md-teal-50: #e0f2f1;\n  --md-teal-100: #b2dfdb;\n  --md-teal-200: #80cbc4;\n  --md-teal-300: #4db6ac;\n  --md-teal-400: #26a69a;\n  --md-teal-500: #009688;\n  --md-teal-600: #00897b;\n  --md-teal-700: #00796b;\n  --md-teal-800: #00695c;\n  --md-teal-900: #004d40;\n  --md-teal-A100: #a7ffeb;\n  --md-teal-A200: #64ffda;\n  --md-teal-A400: #1de9b6;\n  --md-teal-A700: #00bfa5;\n  --md-green-50: #e8f5e9;\n  --md-green-100: #c8e6c9;\n  --md-green-200: #a5d6a7;\n  --md-green-300: #81c784;\n  --md-green-400: #66bb6a;\n  --md-green-500: #4caf50;\n  --md-green-600: #43a047;\n  --md-green-700: #388e3c;\n  --md-green-800: #2e7d32;\n  --md-green-900: #1b5e20;\n  --md-green-A100: #b9f6ca;\n  --md-green-A200: #69f0ae;\n  --md-green-A400: #00e676;\n  --md-green-A700: #00c853;\n  --md-light-green-50: #f1f8e9;\n  --md-light-green-100: #dcedc8;\n  --md-light-green-200: #c5e1a5;\n  --md-light-green-300: #aed581;\n  --md-light-green-400: #9ccc65;\n  --md-light-green-500: #8bc34a;\n  --md-light-green-600: #7cb342;\n  --md-light-green-700: #689f38;\n  --md-light-green-800: #558b2f;\n  --md-light-green-900: #33691e;\n  --md-light-green-A100: #ccff90;\n  --md-light-green-A200: #b2ff59;\n  --md-light-green-A400: #76ff03;\n  --md-light-green-A700: #64dd17;\n  --md-lime-50: #f9fbe7;\n  --md-lime-100: #f0f4c3;\n  --md-lime-200: #e6ee9c;\n  --md-lime-300: #dce775;\n  --md-lime-400: #d4e157;\n  --md-lime-500: #cddc39;\n  --md-lime-600: #c0ca33;\n  --md-lime-700: #afb42b;\n  --md-lime-800: #9e9d24;\n  --md-lime-900: #827717;\n  --md-lime-A100: #f4ff81;\n  --md-lime-A200: #eeff41;\n  --md-lime-A400: #c6ff00;\n  --md-lime-A700: #aeea00;\n  --md-yellow-50: #fffde7;\n  --md-yellow-100: #fff9c4;\n  --md-yellow-200: #fff59d;\n  --md-yellow-300: #fff176;\n  --md-yellow-400: #ffee58;\n  --md-yellow-500: #ffeb3b;\n  --md-yellow-600: #fdd835;\n  --md-yellow-700: #fbc02d;\n  --md-yellow-800: #f9a825;\n  --md-yellow-900: #f57f17;\n  --md-yellow-A100: #ffff8d;\n  --md-yellow-A200: #ff0;\n  --md-yellow-A400: #ffea00;\n  --md-yellow-A700: #ffd600;\n  --md-amber-50: #fff8e1;\n  --md-amber-100: #ffecb3;\n  --md-amber-200: #ffe082;\n  --md-amber-300: #ffd54f;\n  --md-amber-400: #ffca28;\n  --md-amber-500: #ffc107;\n  --md-amber-600: #ffb300;\n  --md-amber-700: #ffa000;\n  --md-amber-800: #ff8f00;\n  --md-amber-900: #ff6f00;\n  --md-amber-A100: #ffe57f;\n  --md-amber-A200: #ffd740;\n  --md-amber-A400: #ffc400;\n  --md-amber-A700: #ffab00;\n  --md-orange-50: #fff3e0;\n  --md-orange-100: #ffe0b2;\n  --md-orange-200: #ffcc80;\n  --md-orange-300: #ffb74d;\n  --md-orange-400: #ffa726;\n  --md-orange-500: #ff9800;\n  --md-orange-600: #fb8c00;\n  --md-orange-700: #f57c00;\n  --md-orange-800: #ef6c00;\n  --md-orange-900: #e65100;\n  --md-orange-A100: #ffd180;\n  --md-orange-A200: #ffab40;\n  --md-orange-A400: #ff9100;\n  --md-orange-A700: #ff6d00;\n  --md-deep-orange-50: #fbe9e7;\n  --md-deep-orange-100: #ffccbc;\n  --md-deep-orange-200: #ffab91;\n  --md-deep-orange-300: #ff8a65;\n  --md-deep-orange-400: #ff7043;\n  --md-deep-orange-500: #ff5722;\n  --md-deep-orange-600: #f4511e;\n  --md-deep-orange-700: #e64a19;\n  --md-deep-orange-800: #d84315;\n  --md-deep-orange-900: #bf360c;\n  --md-deep-orange-A100: #ff9e80;\n  --md-deep-orange-A200: #ff6e40;\n  --md-deep-orange-A400: #ff3d00;\n  --md-deep-orange-A700: #dd2c00;\n  --md-brown-50: #efebe9;\n  --md-brown-100: #d7ccc8;\n  --md-brown-200: #bcaaa4;\n  --md-brown-300: #a1887f;\n  --md-brown-400: #8d6e63;\n  --md-brown-500: #795548;\n  --md-brown-600: #6d4c41;\n  --md-brown-700: #5d4037;\n  --md-brown-800: #4e342e;\n  --md-brown-900: #3e2723;\n  --md-grey-50: #fafafa;\n  --md-grey-100: #f5f5f5;\n  --md-grey-200: #eee;\n  --md-grey-300: #e0e0e0;\n  --md-grey-400: #bdbdbd;\n  --md-grey-500: #9e9e9e;\n  --md-grey-600: #757575;\n  --md-grey-700: #616161;\n  --md-grey-800: #424242;\n  --md-grey-900: #212121;\n  --md-blue-grey-50: #eceff1;\n  --md-blue-grey-100: #cfd8dc;\n  --md-blue-grey-200: #b0bec5;\n  --md-blue-grey-300: #90a4ae;\n  --md-blue-grey-400: #78909c;\n  --md-blue-grey-500: #607d8b;\n  --md-blue-grey-600: #546e7a;\n  --md-blue-grey-700: #455a64;\n  --md-blue-grey-800: #37474f;\n  --md-blue-grey-900: #263238;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2017, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| RenderedText\n|----------------------------------------------------------------------------*/\n\n:root {\n  /* This is the padding value to fill the gaps between lines containing spans with background color. */\n  --jp-private-code-span-padding: calc(\n    (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2\n  );\n}\n\n.jp-RenderedText {\n  text-align: left;\n  padding-left: var(--jp-code-padding);\n  line-height: var(--jp-code-line-height);\n  font-family: var(--jp-code-font-family);\n}\n\n.jp-RenderedText pre,\n.jp-RenderedJavaScript pre,\n.jp-RenderedHTMLCommon pre {\n  color: var(--jp-content-font-color1);\n  font-size: var(--jp-code-font-size);\n  border: none;\n  margin: 0;\n  padding: 0;\n}\n\n.jp-RenderedText pre a:link {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedText pre a:hover {\n  text-decoration: underline;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedText pre a:visited {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n/* console foregrounds and backgrounds */\n.jp-RenderedText pre .ansi-black-fg {\n  color: #3e424d;\n}\n\n.jp-RenderedText pre .ansi-red-fg {\n  color: #e75c58;\n}\n\n.jp-RenderedText pre .ansi-green-fg {\n  color: #00a250;\n}\n\n.jp-RenderedText pre .ansi-yellow-fg {\n  color: #ddb62b;\n}\n\n.jp-RenderedText pre .ansi-blue-fg {\n  color: #208ffb;\n}\n\n.jp-RenderedText pre .ansi-magenta-fg {\n  color: #d160c4;\n}\n\n.jp-RenderedText pre .ansi-cyan-fg {\n  color: #60c6c8;\n}\n\n.jp-RenderedText pre .ansi-white-fg {\n  color: #c5c1b4;\n}\n\n.jp-RenderedText pre .ansi-black-bg {\n  background-color: #3e424d;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-red-bg {\n  background-color: #e75c58;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-green-bg {\n  background-color: #00a250;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-yellow-bg {\n  background-color: #ddb62b;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-blue-bg {\n  background-color: #208ffb;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-magenta-bg {\n  background-color: #d160c4;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-cyan-bg {\n  background-color: #60c6c8;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-white-bg {\n  background-color: #c5c1b4;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-black-intense-fg {\n  color: #282c36;\n}\n\n.jp-RenderedText pre .ansi-red-intense-fg {\n  color: #b22b31;\n}\n\n.jp-RenderedText pre .ansi-green-intense-fg {\n  color: #007427;\n}\n\n.jp-RenderedText pre .ansi-yellow-intense-fg {\n  color: #b27d12;\n}\n\n.jp-RenderedText pre .ansi-blue-intense-fg {\n  color: #0065ca;\n}\n\n.jp-RenderedText pre .ansi-magenta-intense-fg {\n  color: #a03196;\n}\n\n.jp-RenderedText pre .ansi-cyan-intense-fg {\n  color: #258f8f;\n}\n\n.jp-RenderedText pre .ansi-white-intense-fg {\n  color: #a1a6b2;\n}\n\n.jp-RenderedText pre .ansi-black-intense-bg {\n  background-color: #282c36;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-red-intense-bg {\n  background-color: #b22b31;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-green-intense-bg {\n  background-color: #007427;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-yellow-intense-bg {\n  background-color: #b27d12;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-blue-intense-bg {\n  background-color: #0065ca;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-magenta-intense-bg {\n  background-color: #a03196;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-cyan-intense-bg {\n  background-color: #258f8f;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-white-intense-bg {\n  background-color: #a1a6b2;\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-default-inverse-fg {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n.jp-RenderedText pre .ansi-default-inverse-bg {\n  background-color: var(--jp-inverse-layout-color0);\n  padding: var(--jp-private-code-span-padding) 0;\n}\n\n.jp-RenderedText pre .ansi-bold {\n  font-weight: bold;\n}\n\n.jp-RenderedText pre .ansi-underline {\n  text-decoration: underline;\n}\n\n.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {\n  background: var(--jp-rendermime-error-background);\n  padding-top: var(--jp-code-padding);\n}\n\n/*-----------------------------------------------------------------------------\n| RenderedLatex\n|----------------------------------------------------------------------------*/\n\n.jp-RenderedLatex {\n  color: var(--jp-content-font-color1);\n  font-size: var(--jp-content-font-size1);\n  line-height: var(--jp-content-line-height);\n}\n\n/* Left-justify outputs.*/\n.jp-OutputArea-output.jp-RenderedLatex {\n  padding: var(--jp-code-padding);\n  text-align: left;\n}\n\n/*-----------------------------------------------------------------------------\n| RenderedHTML\n|----------------------------------------------------------------------------*/\n\n.jp-RenderedHTMLCommon {\n  color: var(--jp-content-font-color1);\n  font-family: var(--jp-content-font-family);\n  font-size: var(--jp-content-font-size1);\n  line-height: var(--jp-content-line-height);\n\n  /* Give a bit more R padding on Markdown text to keep line lengths reasonable */\n  padding-right: 20px;\n}\n\n.jp-RenderedHTMLCommon em {\n  font-style: italic;\n}\n\n.jp-RenderedHTMLCommon strong {\n  font-weight: bold;\n}\n\n.jp-RenderedHTMLCommon u {\n  text-decoration: underline;\n}\n\n.jp-RenderedHTMLCommon a:link {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedHTMLCommon a:hover {\n  text-decoration: underline;\n  color: var(--jp-content-link-color);\n}\n\n.jp-RenderedHTMLCommon a:visited {\n  text-decoration: none;\n  color: var(--jp-content-link-color);\n}\n\n/* Headings */\n\n.jp-RenderedHTMLCommon h1,\n.jp-RenderedHTMLCommon h2,\n.jp-RenderedHTMLCommon h3,\n.jp-RenderedHTMLCommon h4,\n.jp-RenderedHTMLCommon h5,\n.jp-RenderedHTMLCommon h6 {\n  line-height: var(--jp-content-heading-line-height);\n  font-weight: var(--jp-content-heading-font-weight);\n  font-style: normal;\n  margin: var(--jp-content-heading-margin-top) 0\n    var(--jp-content-heading-margin-bottom) 0;\n}\n\n.jp-RenderedHTMLCommon h1:first-child,\n.jp-RenderedHTMLCommon h2:first-child,\n.jp-RenderedHTMLCommon h3:first-child,\n.jp-RenderedHTMLCommon h4:first-child,\n.jp-RenderedHTMLCommon h5:first-child,\n.jp-RenderedHTMLCommon h6:first-child {\n  margin-top: calc(0.5 * var(--jp-content-heading-margin-top));\n}\n\n.jp-RenderedHTMLCommon h1:last-child,\n.jp-RenderedHTMLCommon h2:last-child,\n.jp-RenderedHTMLCommon h3:last-child,\n.jp-RenderedHTMLCommon h4:last-child,\n.jp-RenderedHTMLCommon h5:last-child,\n.jp-RenderedHTMLCommon h6:last-child {\n  margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));\n}\n\n.jp-RenderedHTMLCommon h1 {\n  font-size: var(--jp-content-font-size5);\n}\n\n.jp-RenderedHTMLCommon h2 {\n  font-size: var(--jp-content-font-size4);\n}\n\n.jp-RenderedHTMLCommon h3 {\n  font-size: var(--jp-content-font-size3);\n}\n\n.jp-RenderedHTMLCommon h4 {\n  font-size: var(--jp-content-font-size2);\n}\n\n.jp-RenderedHTMLCommon h5 {\n  font-size: var(--jp-content-font-size1);\n}\n\n.jp-RenderedHTMLCommon h6 {\n  font-size: var(--jp-content-font-size0);\n}\n\n/* Lists */\n\n/* stylelint-disable selector-max-type, selector-max-compound-selectors */\n\n.jp-RenderedHTMLCommon ul:not(.list-inline),\n.jp-RenderedHTMLCommon ol:not(.list-inline) {\n  padding-left: 2em;\n}\n\n.jp-RenderedHTMLCommon ul {\n  list-style: disc;\n}\n\n.jp-RenderedHTMLCommon ul ul {\n  list-style: square;\n}\n\n.jp-RenderedHTMLCommon ul ul ul {\n  list-style: circle;\n}\n\n.jp-RenderedHTMLCommon ol {\n  list-style: decimal;\n}\n\n.jp-RenderedHTMLCommon ol ol {\n  list-style: upper-alpha;\n}\n\n.jp-RenderedHTMLCommon ol ol ol {\n  list-style: lower-alpha;\n}\n\n.jp-RenderedHTMLCommon ol ol ol ol {\n  list-style: lower-roman;\n}\n\n.jp-RenderedHTMLCommon ol ol ol ol ol {\n  list-style: decimal;\n}\n\n.jp-RenderedHTMLCommon ol,\n.jp-RenderedHTMLCommon ul {\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon ul ul,\n.jp-RenderedHTMLCommon ul ol,\n.jp-RenderedHTMLCommon ol ul,\n.jp-RenderedHTMLCommon ol ol {\n  margin-bottom: 0;\n}\n\n/* stylelint-enable selector-max-type, selector-max-compound-selectors */\n\n.jp-RenderedHTMLCommon hr {\n  color: var(--jp-border-color2);\n  background-color: var(--jp-border-color1);\n  margin-top: 1em;\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon > pre {\n  margin: 1.5em 2em;\n}\n\n.jp-RenderedHTMLCommon pre,\n.jp-RenderedHTMLCommon code {\n  border: 0;\n  background-color: var(--jp-layout-color0);\n  color: var(--jp-content-font-color1);\n  font-family: var(--jp-code-font-family);\n  font-size: inherit;\n  line-height: var(--jp-code-line-height);\n  padding: 0;\n  white-space: pre-wrap;\n}\n\n.jp-RenderedHTMLCommon :not(pre) > code {\n  background-color: var(--jp-layout-color2);\n  padding: 1px 5px;\n}\n\n/* Tables */\n\n.jp-RenderedHTMLCommon table {\n  border-collapse: collapse;\n  border-spacing: 0;\n  border: none;\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n  table-layout: fixed;\n  margin-left: auto;\n  margin-bottom: 1em;\n  margin-right: auto;\n}\n\n.jp-RenderedHTMLCommon thead {\n  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);\n  vertical-align: bottom;\n}\n\n.jp-RenderedHTMLCommon td,\n.jp-RenderedHTMLCommon th,\n.jp-RenderedHTMLCommon tr {\n  vertical-align: middle;\n  padding: 0.5em;\n  line-height: normal;\n  white-space: normal;\n  max-width: none;\n  border: none;\n}\n\n.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,\n.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {\n  max-width: none;\n}\n\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,\n:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {\n  text-align: right;\n}\n\n.jp-RenderedHTMLCommon th {\n  font-weight: bold;\n}\n\n.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {\n  background: var(--jp-layout-color0);\n}\n\n.jp-RenderedHTMLCommon tbody tr:nth-child(even) {\n  background: var(--jp-rendermime-table-row-background);\n}\n\n.jp-RenderedHTMLCommon tbody tr:hover {\n  background: var(--jp-rendermime-table-row-hover-background);\n}\n\n.jp-RenderedHTMLCommon p {\n  text-align: left;\n  margin: 0;\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon img {\n  -moz-force-broken-image-icon: 1;\n}\n\n/* Restrict to direct children as other images could be nested in other content. */\n.jp-RenderedHTMLCommon > img {\n  display: block;\n  margin-left: 0;\n  margin-right: 0;\n  margin-bottom: 1em;\n}\n\n/* Change color behind transparent images if they need it... */\n[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {\n  background-color: var(--jp-inverse-layout-color1);\n}\n\n[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {\n  background-color: var(--jp-inverse-layout-color1);\n}\n\n.jp-RenderedHTMLCommon img,\n.jp-RenderedImage img,\n.jp-RenderedHTMLCommon svg,\n.jp-RenderedSVG svg {\n  max-width: 100%;\n  height: auto;\n}\n\n.jp-RenderedHTMLCommon img.jp-mod-unconfined,\n.jp-RenderedImage img.jp-mod-unconfined,\n.jp-RenderedHTMLCommon svg.jp-mod-unconfined,\n.jp-RenderedSVG svg.jp-mod-unconfined {\n  max-width: none;\n}\n\n.jp-RenderedHTMLCommon .alert {\n  padding: var(--jp-notebook-padding);\n  border: var(--jp-border-width) solid transparent;\n  border-radius: var(--jp-border-radius);\n  margin-bottom: 1em;\n}\n\n.jp-RenderedHTMLCommon .alert-info {\n  color: var(--jp-info-color0);\n  background-color: var(--jp-info-color3);\n  border-color: var(--jp-info-color2);\n}\n\n.jp-RenderedHTMLCommon .alert-info hr {\n  border-color: var(--jp-info-color3);\n}\n\n.jp-RenderedHTMLCommon .alert-info > p:last-child,\n.jp-RenderedHTMLCommon .alert-info > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-warning {\n  color: var(--jp-warn-color0);\n  background-color: var(--jp-warn-color3);\n  border-color: var(--jp-warn-color2);\n}\n\n.jp-RenderedHTMLCommon .alert-warning hr {\n  border-color: var(--jp-warn-color3);\n}\n\n.jp-RenderedHTMLCommon .alert-warning > p:last-child,\n.jp-RenderedHTMLCommon .alert-warning > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-success {\n  color: var(--jp-success-color0);\n  background-color: var(--jp-success-color3);\n  border-color: var(--jp-success-color2);\n}\n\n.jp-RenderedHTMLCommon .alert-success hr {\n  border-color: var(--jp-success-color3);\n}\n\n.jp-RenderedHTMLCommon .alert-success > p:last-child,\n.jp-RenderedHTMLCommon .alert-success > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon .alert-danger {\n  color: var(--jp-error-color0);\n  background-color: var(--jp-error-color3);\n  border-color: var(--jp-error-color2);\n}\n\n.jp-RenderedHTMLCommon .alert-danger hr {\n  border-color: var(--jp-error-color3);\n}\n\n.jp-RenderedHTMLCommon .alert-danger > p:last-child,\n.jp-RenderedHTMLCommon .alert-danger > ul:last-child {\n  margin-bottom: 0;\n}\n\n.jp-RenderedHTMLCommon blockquote {\n  margin: 1em 2em;\n  padding: 0 1em;\n  border-left: 5px solid var(--jp-border-color2);\n}\n\na.jp-InternalAnchorLink {\n  visibility: hidden;\n  margin-left: 8px;\n  color: var(--md-blue-800);\n}\n\nh1:hover .jp-InternalAnchorLink,\nh2:hover .jp-InternalAnchorLink,\nh3:hover .jp-InternalAnchorLink,\nh4:hover .jp-InternalAnchorLink,\nh5:hover .jp-InternalAnchorLink,\nh6:hover .jp-InternalAnchorLink {\n  visibility: visible;\n}\n\n.jp-RenderedHTMLCommon kbd {\n  background-color: var(--jp-rendermime-table-row-background);\n  border: 1px solid var(--jp-border-color0);\n  border-bottom-color: var(--jp-border-color2);\n  border-radius: 3px;\n  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);\n  display: inline-block;\n  font-size: var(--jp-ui-font-size0);\n  line-height: 1em;\n  padding: 0.2em 0.5em;\n}\n\n/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.\n * At the bottom of cells this is a bit too much as there is also spacing\n * between cells. Going all the way to 0 gets too tight between markdown and\n * code cells.\n */\n.jp-RenderedHTMLCommon > *:last-child {\n  margin-bottom: 0.5em;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Copyright (c) 2014-2017, PhosphorJS Contributors\n|\n| Distributed under the terms of the BSD 3-Clause License.\n|\n| The full license is in the file LICENSE, distributed with this software.\n|----------------------------------------------------------------------------*/\n\n.lm-cursor-backdrop {\n  position: fixed;\n  width: 200px;\n  height: 200px;\n  margin-top: -100px;\n  margin-left: -100px;\n  will-change: transform;\n  z-index: 100;\n}\n\n.lm-mod-drag-image {\n  will-change: transform;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.jp-lineFormSearch {\n  padding: 4px 12px;\n  background-color: var(--jp-layout-color2);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  z-index: 2;\n  font-size: var(--jp-ui-font-size1);\n}\n\n.jp-lineFormCaption {\n  font-size: var(--jp-ui-font-size0);\n  line-height: var(--jp-ui-font-size1);\n  margin-top: 4px;\n  color: var(--jp-ui-font-color0);\n}\n\n.jp-baseLineForm {\n  border: none;\n  border-radius: 0;\n  position: absolute;\n  background-size: 16px;\n  background-repeat: no-repeat;\n  background-position: center;\n  outline: none;\n}\n\n.jp-lineFormButtonContainer {\n  top: 4px;\n  right: 8px;\n  height: 24px;\n  padding: 0 12px;\n  width: 12px;\n}\n\n.jp-lineFormButtonIcon {\n  top: 0;\n  right: 0;\n  background-color: var(--jp-brand-color1);\n  height: 100%;\n  width: 100%;\n  box-sizing: border-box;\n  padding: 4px 6px;\n}\n\n.jp-lineFormButton {\n  top: 0;\n  right: 0;\n  background-color: transparent;\n  height: 100%;\n  width: 100%;\n  box-sizing: border-box;\n}\n\n.jp-lineFormWrapper {\n  overflow: hidden;\n  padding: 0 8px;\n  border: 1px solid var(--jp-border-color0);\n  background-color: var(--jp-input-active-background);\n  height: 22px;\n}\n\n.jp-lineFormWrapperFocusWithin {\n  border: var(--jp-border-width) solid var(--md-blue-500);\n  box-shadow: inset 0 0 4px var(--md-blue-300);\n}\n\n.jp-lineFormInput {\n  background: transparent;\n  width: 200px;\n  height: 100%;\n  border: none;\n  outline: none;\n  color: var(--jp-ui-font-color0);\n  line-height: 28px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) 2014-2016, Jupyter Development Team.\n|\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-JSONEditor {\n  display: flex;\n  flex-direction: column;\n  width: 100%;\n}\n\n.jp-JSONEditor-host {\n  flex: 1 1 auto;\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  border-radius: 0;\n  background: var(--jp-layout-color0);\n  min-height: 50px;\n  padding: 1px;\n}\n\n.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {\n  border-color: red;\n  outline-color: red;\n}\n\n.jp-JSONEditor-header {\n  display: flex;\n  flex: 1 0 auto;\n  padding: 0 0 0 12px;\n}\n\n.jp-JSONEditor-header label {\n  flex: 0 0 auto;\n}\n\n.jp-JSONEditor-commitButton {\n  height: 16px;\n  width: 16px;\n  background-size: 18px;\n  background-repeat: no-repeat;\n  background-position: center;\n}\n\n.jp-JSONEditor-host.jp-mod-focused {\n  background-color: var(--jp-input-active-background);\n  border: 1px solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n}\n\n.jp-Editor.jp-mod-dropTarget {\n  border: var(--jp-border-width) solid var(--jp-input-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n.jp-DocumentSearch-input {\n  border: none;\n  outline: none;\n  color: var(--jp-ui-font-color0);\n  font-size: var(--jp-ui-font-size1);\n  background-color: var(--jp-layout-color0);\n  font-family: var(--jp-ui-font-family);\n  padding: 2px 1px;\n  resize: none;\n}\n\n.jp-DocumentSearch-overlay {\n  position: absolute;\n  background-color: var(--jp-toolbar-background);\n  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  top: 0;\n  right: 0;\n  z-index: 7;\n  min-width: 405px;\n  padding: 2px;\n  font-size: var(--jp-ui-font-size1);\n\n  --jp-private-document-search-button-height: 20px;\n}\n\n.jp-DocumentSearch-overlay button {\n  background-color: var(--jp-toolbar-background);\n  outline: 0;\n}\n\n.jp-DocumentSearch-overlay button:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-DocumentSearch-overlay button:active {\n  background-color: var(--jp-layout-color3);\n}\n\n.jp-DocumentSearch-overlay-row {\n  display: flex;\n  align-items: center;\n  margin-bottom: 2px;\n}\n\n.jp-DocumentSearch-button-content {\n  display: inline-block;\n  cursor: pointer;\n  box-sizing: border-box;\n  width: 100%;\n  height: 100%;\n}\n\n.jp-DocumentSearch-button-content svg {\n  width: 100%;\n  height: 100%;\n}\n\n.jp-DocumentSearch-input-wrapper {\n  border: var(--jp-border-width) solid var(--jp-border-color0);\n  display: flex;\n  background-color: var(--jp-layout-color0);\n  margin: 2px;\n}\n\n.jp-DocumentSearch-input-wrapper:focus-within {\n  border-color: var(--jp-cell-editor-active-border-color);\n}\n\n.jp-DocumentSearch-toggle-wrapper,\n.jp-DocumentSearch-button-wrapper {\n  all: initial;\n  overflow: hidden;\n  display: inline-block;\n  border: none;\n  box-sizing: border-box;\n}\n\n.jp-DocumentSearch-toggle-wrapper {\n  width: 14px;\n  height: 14px;\n}\n\n.jp-DocumentSearch-button-wrapper {\n  width: var(--jp-private-document-search-button-height);\n  height: var(--jp-private-document-search-button-height);\n}\n\n.jp-DocumentSearch-toggle-wrapper:focus,\n.jp-DocumentSearch-button-wrapper:focus {\n  outline: var(--jp-border-width) solid\n    var(--jp-cell-editor-active-border-color);\n  outline-offset: -1px;\n}\n\n.jp-DocumentSearch-toggle-wrapper,\n.jp-DocumentSearch-button-wrapper,\n.jp-DocumentSearch-button-content:focus {\n  outline: none;\n}\n\n.jp-DocumentSearch-toggle-placeholder {\n  width: 5px;\n}\n\n.jp-DocumentSearch-input-button::before {\n  display: block;\n  padding-top: 100%;\n}\n\n.jp-DocumentSearch-input-button-off {\n  opacity: var(--jp-search-toggle-off-opacity);\n}\n\n.jp-DocumentSearch-input-button-off:hover {\n  opacity: var(--jp-search-toggle-hover-opacity);\n}\n\n.jp-DocumentSearch-input-button-on {\n  opacity: var(--jp-search-toggle-on-opacity);\n}\n\n.jp-DocumentSearch-index-counter {\n  padding-left: 10px;\n  padding-right: 10px;\n  user-select: none;\n  min-width: 35px;\n  display: inline-block;\n}\n\n.jp-DocumentSearch-up-down-wrapper {\n  display: inline-block;\n  padding-right: 2px;\n  margin-left: auto;\n  white-space: nowrap;\n}\n\n.jp-DocumentSearch-spacer {\n  margin-left: auto;\n}\n\n.jp-DocumentSearch-up-down-wrapper button {\n  outline: 0;\n  border: none;\n  width: var(--jp-private-document-search-button-height);\n  height: var(--jp-private-document-search-button-height);\n  vertical-align: middle;\n  margin: 1px 5px 2px;\n}\n\n.jp-DocumentSearch-up-down-button:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-DocumentSearch-up-down-button:active {\n  background-color: var(--jp-layout-color3);\n}\n\n.jp-DocumentSearch-filter-button {\n  border-radius: var(--jp-border-radius);\n}\n\n.jp-DocumentSearch-filter-button:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-DocumentSearch-filter-button-enabled {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-DocumentSearch-filter-button-enabled:hover {\n  background-color: var(--jp-layout-color3);\n}\n\n.jp-DocumentSearch-search-options {\n  padding: 0 8px;\n  margin-left: 3px;\n  width: 100%;\n  display: grid;\n  justify-content: start;\n  grid-template-columns: 1fr 1fr;\n  align-items: center;\n  justify-items: stretch;\n}\n\n.jp-DocumentSearch-search-filter-disabled {\n  color: var(--jp-ui-font-color2);\n}\n\n.jp-DocumentSearch-search-filter {\n  display: flex;\n  align-items: center;\n  user-select: none;\n}\n\n.jp-DocumentSearch-regex-error {\n  color: var(--jp-error-color0);\n}\n\n.jp-DocumentSearch-replace-button-wrapper {\n  overflow: hidden;\n  display: inline-block;\n  box-sizing: border-box;\n  border: var(--jp-border-width) solid var(--jp-border-color0);\n  margin: auto 2px;\n  padding: 1px 4px;\n  height: calc(var(--jp-private-document-search-button-height) + 2px);\n}\n\n.jp-DocumentSearch-replace-button-wrapper:focus {\n  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);\n}\n\n.jp-DocumentSearch-replace-button {\n  display: inline-block;\n  text-align: center;\n  cursor: pointer;\n  box-sizing: border-box;\n  color: var(--jp-ui-font-color1);\n\n  /* height - 2 * (padding of wrapper) */\n  line-height: calc(var(--jp-private-document-search-button-height) - 2px);\n  width: 100%;\n  height: 100%;\n}\n\n.jp-DocumentSearch-replace-button:focus {\n  outline: none;\n}\n\n.jp-DocumentSearch-replace-wrapper-class {\n  margin-left: 14px;\n  display: flex;\n}\n\n.jp-DocumentSearch-replace-toggle {\n  border: none;\n  background-color: var(--jp-toolbar-background);\n  border-radius: var(--jp-border-radius);\n}\n\n.jp-DocumentSearch-replace-toggle:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.cm-editor {\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  font-family: var(--jp-code-font-family);\n  border: 0;\n  border-radius: 0;\n  height: auto;\n\n  /* Changed to auto to autogrow */\n}\n\n.cm-editor pre {\n  padding: 0 var(--jp-code-padding);\n}\n\n.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {\n  background-color: var(--jp-layout-color0);\n  color: var(--jp-content-font-color1);\n}\n\n.jp-CodeMirrorEditor {\n  cursor: text;\n}\n\n/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */\n@media screen and (min-width: 2138px) and (max-width: 4319px) {\n  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {\n    border-left: var(--jp-code-cursor-width1) solid\n      var(--jp-editor-cursor-color);\n  }\n}\n\n/* When zoomed out less than 33% */\n@media screen and (min-width: 4320px) {\n  .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {\n    border-left: var(--jp-code-cursor-width2) solid\n      var(--jp-editor-cursor-color);\n  }\n}\n\n.cm-editor.jp-mod-readOnly .cm-cursor {\n  display: none;\n}\n\n.jp-CollaboratorCursor {\n  border-left: 5px solid transparent;\n  border-right: 5px solid transparent;\n  border-top: none;\n  border-bottom: 3px solid;\n  background-clip: content-box;\n  margin-left: -5px;\n  margin-right: -5px;\n}\n\n.cm-searching,\n.cm-searching span {\n  /* `.cm-searching span`: we need to override syntax highlighting */\n  background-color: var(--jp-search-unselected-match-background-color);\n  color: var(--jp-search-unselected-match-color);\n}\n\n.cm-searching::selection,\n.cm-searching span::selection {\n  background-color: var(--jp-search-unselected-match-background-color);\n  color: var(--jp-search-unselected-match-color);\n}\n\n.jp-current-match > .cm-searching,\n.jp-current-match > .cm-searching span,\n.cm-searching > .jp-current-match,\n.cm-searching > .jp-current-match span {\n  background-color: var(--jp-search-selected-match-background-color);\n  color: var(--jp-search-selected-match-color);\n}\n\n.jp-current-match > .cm-searching::selection,\n.cm-searching > .jp-current-match::selection,\n.jp-current-match > .cm-searching span::selection {\n  background-color: var(--jp-search-selected-match-background-color);\n  color: var(--jp-search-selected-match-color);\n}\n\n.cm-trailingspace {\n  background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);\n  background-position: center left;\n  background-repeat: repeat-x;\n}\n\n.jp-CollaboratorCursor-hover {\n  position: absolute;\n  z-index: 1;\n  transform: translateX(-50%);\n  color: white;\n  border-radius: 3px;\n  padding-left: 4px;\n  padding-right: 4px;\n  padding-top: 1px;\n  padding-bottom: 1px;\n  text-align: center;\n  font-size: var(--jp-ui-font-size1);\n  white-space: nowrap;\n}\n\n.jp-CodeMirror-ruler {\n  border-left: 1px dashed var(--jp-border-color2);\n}\n\n/* Styles for shared cursors (remote cursor locations and selected ranges) */\n.jp-CodeMirrorEditor .cm-ySelectionCaret {\n  position: relative;\n  border-left: 1px solid black;\n  margin-left: -1px;\n  margin-right: -1px;\n  box-sizing: border-box;\n}\n\n.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {\n  white-space: nowrap;\n  position: absolute;\n  top: -1.15em;\n  padding-bottom: 0.05em;\n  left: -1px;\n  font-size: 0.95em;\n  font-family: var(--jp-ui-font-family);\n  font-weight: bold;\n  line-height: normal;\n  user-select: none;\n  color: white;\n  padding-left: 2px;\n  padding-right: 2px;\n  z-index: 101;\n  transition: opacity 0.3s ease-in-out;\n}\n\n.jp-CodeMirrorEditor .cm-ySelectionInfo {\n  transition-delay: 0.7s;\n  opacity: 0;\n}\n\n.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {\n  opacity: 1;\n  transition-delay: 0s;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-MimeDocument {\n  outline: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-filebrowser-button-height: 28px;\n  --jp-private-filebrowser-button-width: 48px;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-FileBrowser .jp-SidePanel-content {\n  display: flex;\n  flex-direction: column;\n}\n\n.jp-FileBrowser-toolbar.jp-Toolbar {\n  flex-wrap: wrap;\n  row-gap: 12px;\n  border-bottom: none;\n  height: auto;\n  margin: 8px 12px 0;\n  box-shadow: none;\n  padding: 0;\n  justify-content: flex-start;\n}\n\n.jp-FileBrowser-Panel {\n  flex: 1 1 auto;\n  display: flex;\n  flex-direction: column;\n}\n\n.jp-BreadCrumbs {\n  flex: 0 0 auto;\n  margin: 8px 12px;\n}\n\n.jp-BreadCrumbs-item {\n  margin: 0 2px;\n  padding: 0 2px;\n  border-radius: var(--jp-border-radius);\n  cursor: pointer;\n}\n\n.jp-BreadCrumbs-item:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-BreadCrumbs-item:first-child {\n  margin-left: 0;\n}\n\n.jp-BreadCrumbs-item.jp-mod-dropTarget {\n  background-color: var(--jp-brand-color2);\n  opacity: 0.7;\n}\n\n/*-----------------------------------------------------------------------------\n| Buttons\n|----------------------------------------------------------------------------*/\n\n.jp-FileBrowser-toolbar > .jp-Toolbar-item {\n  flex: 0 0 auto;\n  padding-left: 0;\n  padding-right: 2px;\n  align-items: center;\n  height: unset;\n}\n\n.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {\n  width: 40px;\n}\n\n/*-----------------------------------------------------------------------------\n| Other styles\n|----------------------------------------------------------------------------*/\n\n.jp-FileDialog.jp-mod-conflict input {\n  color: var(--jp-error-color1);\n}\n\n.jp-FileDialog .jp-new-name-title {\n  margin-top: 12px;\n}\n\n.jp-LastModified-hidden {\n  display: none;\n}\n\n.jp-FileSize-hidden {\n  display: none;\n}\n\n.jp-FileBrowser .lm-AccordionPanel > h3:first-child {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| DirListing\n|----------------------------------------------------------------------------*/\n\n.jp-DirListing {\n  flex: 1 1 auto;\n  display: flex;\n  flex-direction: column;\n  outline: 0;\n}\n\n.jp-DirListing-header {\n  flex: 0 0 auto;\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  overflow: hidden;\n  border-top: var(--jp-border-width) solid var(--jp-border-color2);\n  border-bottom: var(--jp-border-width) solid var(--jp-border-color1);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  z-index: 2;\n}\n\n.jp-DirListing-headerItem {\n  padding: 4px 12px 2px;\n  font-weight: 500;\n}\n\n.jp-DirListing-headerItem:hover {\n  background: var(--jp-layout-color2);\n}\n\n.jp-DirListing-headerItem.jp-id-name {\n  flex: 1 0 84px;\n}\n\n.jp-DirListing-headerItem.jp-id-modified {\n  flex: 0 0 112px;\n  border-left: var(--jp-border-width) solid var(--jp-border-color2);\n  text-align: right;\n}\n\n.jp-DirListing-headerItem.jp-id-filesize {\n  flex: 0 0 75px;\n  border-left: var(--jp-border-width) solid var(--jp-border-color2);\n  text-align: right;\n}\n\n.jp-id-narrow {\n  display: none;\n  flex: 0 0 5px;\n  padding: 4px;\n  border-left: var(--jp-border-width) solid var(--jp-border-color2);\n  text-align: right;\n  color: var(--jp-border-color2);\n}\n\n.jp-DirListing-narrow .jp-id-narrow {\n  display: block;\n}\n\n.jp-DirListing-narrow .jp-id-modified,\n.jp-DirListing-narrow .jp-DirListing-itemModified {\n  display: none;\n}\n\n.jp-DirListing-headerItem.jp-mod-selected {\n  font-weight: 600;\n}\n\n/* increase specificity to override bundled default */\n.jp-DirListing-content {\n  flex: 1 1 auto;\n  margin: 0;\n  padding: 0;\n  list-style-type: none;\n  overflow: auto;\n  background-color: var(--jp-layout-color1);\n}\n\n.jp-DirListing-content mark {\n  color: var(--jp-ui-font-color0);\n  background-color: transparent;\n  font-weight: bold;\n}\n\n.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {\n  color: var(--jp-ui-inverse-font-color0);\n}\n\n/* Style the directory listing content when a user drops a file to upload */\n.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {\n  outline: 5px dashed rgba(128, 128, 128, 0.5);\n  outline-offset: -10px;\n  cursor: copy;\n}\n\n.jp-DirListing-item {\n  display: flex;\n  flex-direction: row;\n  align-items: center;\n  padding: 4px 12px;\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.jp-DirListing-checkboxWrapper {\n  /* Increases hit area of checkbox. */\n  padding: 4px;\n}\n\n.jp-DirListing-header\n  .jp-DirListing-checkboxWrapper\n  + .jp-DirListing-headerItem {\n  padding-left: 4px;\n}\n\n.jp-DirListing-content .jp-DirListing-checkboxWrapper {\n  position: relative;\n  left: -4px;\n  margin: -4px 0 -4px -8px;\n}\n\n.jp-DirListing-checkboxWrapper.jp-mod-visible {\n  visibility: visible;\n}\n\n/* For devices that support hovering, hide checkboxes until hovered, selected...\n*/\n@media (hover: hover) {\n  .jp-DirListing-checkboxWrapper {\n    visibility: hidden;\n  }\n\n  .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,\n  .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {\n    visibility: visible;\n  }\n}\n\n.jp-DirListing-item[data-is-dot] {\n  opacity: 75%;\n}\n\n.jp-DirListing-item.jp-mod-selected {\n  color: var(--jp-ui-inverse-font-color1);\n  background: var(--jp-brand-color1);\n}\n\n.jp-DirListing-item.jp-mod-dropTarget {\n  background: var(--jp-brand-color3);\n}\n\n.jp-DirListing-item:hover:not(.jp-mod-selected) {\n  background: var(--jp-layout-color2);\n}\n\n.jp-DirListing-itemIcon {\n  flex: 0 0 20px;\n  margin-right: 4px;\n}\n\n.jp-DirListing-itemText {\n  flex: 1 0 64px;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  user-select: none;\n}\n\n.jp-DirListing-itemText:focus {\n  outline-width: 2px;\n  outline-color: var(--jp-inverse-layout-color1);\n  outline-style: solid;\n  outline-offset: 1px;\n}\n\n.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {\n  outline-color: var(--jp-layout-color1);\n}\n\n.jp-DirListing-itemModified {\n  flex: 0 0 125px;\n  text-align: right;\n}\n\n.jp-DirListing-itemFileSize {\n  flex: 0 0 90px;\n  text-align: right;\n}\n\n.jp-DirListing-editor {\n  flex: 1 0 64px;\n  outline: none;\n  border: none;\n  color: var(--jp-ui-font-color1);\n  background-color: var(--jp-layout-color1);\n}\n\n.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {\n  color: var(--jp-success-color1);\n  content: '\\25CF';\n  font-size: 8px;\n  position: absolute;\n  left: -8px;\n}\n\n.jp-DirListing-item.jp-mod-running.jp-mod-selected\n  .jp-DirListing-itemIcon::before {\n  color: var(--jp-ui-inverse-font-color1);\n}\n\n.jp-DirListing-item.lm-mod-drag-image,\n.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {\n  font-size: var(--jp-ui-font-size1);\n  padding-left: 4px;\n  margin-left: 4px;\n  width: 160px;\n  background-color: var(--jp-ui-inverse-font-color2);\n  box-shadow: var(--jp-elevation-z2);\n  border-radius: 0;\n  color: var(--jp-ui-font-color1);\n  transform: translateX(-40%) translateY(-58%);\n}\n\n.jp-Document {\n  min-width: 120px;\n  min-height: 120px;\n  outline: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Main OutputArea\n| OutputArea has a list of Outputs\n|----------------------------------------------------------------------------*/\n\n.jp-OutputArea {\n  overflow-y: auto;\n}\n\n.jp-OutputArea-child {\n  display: table;\n  table-layout: fixed;\n  width: 100%;\n  overflow: hidden;\n}\n\n.jp-OutputPrompt {\n  width: var(--jp-cell-prompt-width);\n  color: var(--jp-cell-outprompt-font-color);\n  font-family: var(--jp-cell-prompt-font-family);\n  padding: var(--jp-code-padding);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n  opacity: var(--jp-cell-prompt-opacity);\n\n  /* Right align prompt text, don't wrap to handle large prompt numbers */\n  text-align: right;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n\n  /* Disable text selection */\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.jp-OutputArea-prompt {\n  display: table-cell;\n  vertical-align: top;\n}\n\n.jp-OutputArea-output {\n  display: table-cell;\n  width: 100%;\n  height: auto;\n  overflow: auto;\n  user-select: text;\n  -moz-user-select: text;\n  -webkit-user-select: text;\n  -ms-user-select: text;\n}\n\n.jp-OutputArea .jp-RenderedText {\n  padding-left: 1ch;\n}\n\n/**\n * Prompt overlay.\n */\n\n.jp-OutputArea-promptOverlay {\n  position: absolute;\n  top: 0;\n  width: var(--jp-cell-prompt-width);\n  height: 100%;\n  opacity: 0.5;\n}\n\n.jp-OutputArea-promptOverlay:hover {\n  background: var(--jp-layout-color2);\n  box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);\n  cursor: zoom-out;\n}\n\n.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {\n  cursor: zoom-in;\n}\n\n/**\n * Isolated output.\n */\n.jp-OutputArea-output.jp-mod-isolated {\n  width: 100%;\n  display: block;\n}\n\n/*\nWhen drag events occur, `lm-mod-override-cursor` is added to the body.\nBecause iframes steal all cursor events, the following two rules are necessary\nto suppress pointer events while resize drags are occurring. There may be a\nbetter solution to this problem.\n*/\nbody.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {\n  position: relative;\n}\n\nbody.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {\n  content: '';\n  position: absolute;\n  top: 0;\n  left: 0;\n  right: 0;\n  bottom: 0;\n  background: transparent;\n}\n\n/* pre */\n\n.jp-OutputArea-output pre {\n  border: none;\n  margin: 0;\n  padding: 0;\n  overflow-x: auto;\n  overflow-y: auto;\n  word-break: break-all;\n  word-wrap: break-word;\n  white-space: pre-wrap;\n}\n\n/* tables */\n\n.jp-OutputArea-output.jp-RenderedHTMLCommon table {\n  margin-left: 0;\n  margin-right: 0;\n}\n\n/* description lists */\n\n.jp-OutputArea-output dl,\n.jp-OutputArea-output dt,\n.jp-OutputArea-output dd {\n  display: block;\n}\n\n.jp-OutputArea-output dl {\n  width: 100%;\n  overflow: hidden;\n  padding: 0;\n  margin: 0;\n}\n\n.jp-OutputArea-output dt {\n  font-weight: bold;\n  float: left;\n  width: 20%;\n  padding: 0;\n  margin: 0;\n}\n\n.jp-OutputArea-output dd {\n  float: left;\n  width: 80%;\n  padding: 0;\n  margin: 0;\n}\n\n.jp-TrimmedOutputs pre {\n  background: var(--jp-layout-color3);\n  font-size: calc(var(--jp-code-font-size) * 1.4);\n  text-align: center;\n  text-transform: uppercase;\n}\n\n/* Hide the gutter in case of\n *  - nested output areas (e.g. in the case of output widgets)\n *  - mirrored output areas\n */\n.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {\n  display: none;\n}\n\n/* Hide empty lines in the output area, for instance due to cleared widgets */\n.jp-OutputArea-prompt:empty {\n  padding: 0;\n  border: 0;\n}\n\n/*-----------------------------------------------------------------------------\n| executeResult is added to any Output-result for the display of the object\n| returned by a cell\n|----------------------------------------------------------------------------*/\n\n.jp-OutputArea-output.jp-OutputArea-executeResult {\n  margin-left: 0;\n  width: 100%;\n}\n\n/* Text output with the Out[] prompt needs a top padding to match the\n * alignment of the Out[] prompt itself.\n */\n.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {\n  padding-top: var(--jp-code-padding);\n  border-top: var(--jp-border-width) solid transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| The Stdin output\n|----------------------------------------------------------------------------*/\n\n.jp-Stdin-prompt {\n  color: var(--jp-content-font-color0);\n  padding-right: var(--jp-code-padding);\n  vertical-align: baseline;\n  flex: 0 0 auto;\n}\n\n.jp-Stdin-input {\n  font-family: var(--jp-code-font-family);\n  font-size: inherit;\n  color: inherit;\n  background-color: inherit;\n  width: 42%;\n  min-width: 200px;\n\n  /* make sure input baseline aligns with prompt */\n  vertical-align: baseline;\n\n  /* padding + margin = 0.5em between prompt and cursor */\n  padding: 0 0.25em;\n  margin: 0 0.25em;\n  flex: 0 0 70%;\n}\n\n.jp-Stdin-input::placeholder {\n  opacity: 0;\n}\n\n.jp-Stdin-input:focus {\n  box-shadow: none;\n}\n\n.jp-Stdin-input:focus::placeholder {\n  opacity: 1;\n}\n\n/*-----------------------------------------------------------------------------\n| Output Area View\n|----------------------------------------------------------------------------*/\n\n.jp-LinkedOutputView .jp-OutputArea {\n  height: 100%;\n  display: block;\n}\n\n.jp-LinkedOutputView .jp-OutputArea-output:only-child {\n  height: 100%;\n}\n\n/*-----------------------------------------------------------------------------\n| Printing\n|----------------------------------------------------------------------------*/\n\n@media print {\n  .jp-OutputArea-child {\n    break-inside: avoid-page;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Mobile\n|----------------------------------------------------------------------------*/\n@media only screen and (max-width: 760px) {\n  .jp-OutputPrompt {\n    display: table-row;\n    text-align: left;\n  }\n\n  .jp-OutputArea-child .jp-OutputArea-output {\n    display: table-row;\n    margin-left: var(--jp-notebook-padding);\n  }\n}\n\n/* Trimmed outputs warning */\n.jp-TrimmedOutputs > a {\n  margin: 10px;\n  text-decoration: none;\n  cursor: pointer;\n}\n\n.jp-TrimmedOutputs > a:hover {\n  text-decoration: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Table of Contents\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-toc-active-width: 4px;\n}\n\n.jp-TableOfContents {\n  display: flex;\n  flex-direction: column;\n  background: var(--jp-layout-color1);\n  color: var(--jp-ui-font-color1);\n  font-size: var(--jp-ui-font-size1);\n  height: 100%;\n}\n\n.jp-TableOfContents-placeholder {\n  text-align: center;\n}\n\n.jp-TableOfContents-placeholderContent {\n  color: var(--jp-content-font-color2);\n  padding: 8px;\n}\n\n.jp-TableOfContents-placeholderContent > h3 {\n  margin-bottom: var(--jp-content-heading-margin-bottom);\n}\n\n.jp-TableOfContents .jp-SidePanel-content {\n  overflow-y: auto;\n}\n\n.jp-TableOfContents-tree {\n  margin: 4px;\n}\n\n.jp-TableOfContents ol {\n  list-style-type: none;\n}\n\n/* stylelint-disable-next-line selector-max-type */\n.jp-TableOfContents li > ol {\n  /* Align left border with triangle icon center */\n  padding-left: 11px;\n}\n\n.jp-TableOfContents-content {\n  /* left margin for the active heading indicator */\n  margin: 0 0 0 var(--jp-private-toc-active-width);\n  padding: 0;\n  background-color: var(--jp-layout-color1);\n}\n\n.jp-tocItem {\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n.jp-tocItem-heading {\n  display: flex;\n  cursor: pointer;\n}\n\n.jp-tocItem-heading:hover {\n  background-color: var(--jp-layout-color2);\n}\n\n.jp-tocItem-content {\n  display: block;\n  padding: 4px 0;\n  white-space: nowrap;\n  text-overflow: ellipsis;\n  overflow-x: hidden;\n}\n\n.jp-tocItem-collapser {\n  height: 20px;\n  margin: 2px 2px 0;\n  padding: 0;\n  background: none;\n  border: none;\n  cursor: pointer;\n}\n\n.jp-tocItem-collapser:hover {\n  background-color: var(--jp-layout-color3);\n}\n\n/* Active heading indicator */\n\n.jp-tocItem-heading::before {\n  content: ' ';\n  background: transparent;\n  width: var(--jp-private-toc-active-width);\n  height: 24px;\n  position: absolute;\n  left: 0;\n  border-radius: var(--jp-border-radius);\n}\n\n.jp-tocItem-heading.jp-tocItem-active::before {\n  background-color: var(--jp-brand-color1);\n}\n\n.jp-tocItem-heading:hover.jp-tocItem-active::before {\n  background: var(--jp-brand-color0);\n  opacity: 1;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n.jp-Collapser {\n  flex: 0 0 var(--jp-cell-collapser-width);\n  padding: 0;\n  margin: 0;\n  border: none;\n  outline: none;\n  background: transparent;\n  border-radius: var(--jp-border-radius);\n  opacity: 1;\n}\n\n.jp-Collapser-child {\n  display: block;\n  width: 100%;\n  box-sizing: border-box;\n\n  /* height: 100% doesn't work because the height of its parent is computed from content */\n  position: absolute;\n  top: 0;\n  bottom: 0;\n}\n\n/*-----------------------------------------------------------------------------\n| Printing\n|----------------------------------------------------------------------------*/\n\n/*\nHiding collapsers in print mode.\n\nNote: input and output wrappers have \"display: block\" propery in print mode.\n*/\n\n@media print {\n  .jp-Collapser {\n    display: none;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Header/Footer\n|----------------------------------------------------------------------------*/\n\n/* Hidden by zero height by default */\n.jp-CellHeader,\n.jp-CellFooter {\n  height: 0;\n  width: 100%;\n  padding: 0;\n  margin: 0;\n  border: none;\n  outline: none;\n  background: transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Input\n|----------------------------------------------------------------------------*/\n\n/* All input areas */\n.jp-InputArea {\n  display: table;\n  table-layout: fixed;\n  width: 100%;\n  overflow: hidden;\n}\n\n.jp-InputArea-editor {\n  display: table-cell;\n  overflow: hidden;\n  vertical-align: top;\n\n  /* This is the non-active, default styling */\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  border-radius: 0;\n  background: var(--jp-cell-editor-background);\n}\n\n.jp-InputPrompt {\n  display: table-cell;\n  vertical-align: top;\n  width: var(--jp-cell-prompt-width);\n  color: var(--jp-cell-inprompt-font-color);\n  font-family: var(--jp-cell-prompt-font-family);\n  padding: var(--jp-code-padding);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  opacity: var(--jp-cell-prompt-opacity);\n  line-height: var(--jp-code-line-height);\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n\n  /* Right align prompt text, don't wrap to handle large prompt numbers */\n  text-align: right;\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n\n  /* Disable text selection */\n  -webkit-user-select: none;\n  -moz-user-select: none;\n  -ms-user-select: none;\n  user-select: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Mobile\n|----------------------------------------------------------------------------*/\n@media only screen and (max-width: 760px) {\n  .jp-InputArea-editor {\n    display: table-row;\n    margin-left: var(--jp-notebook-padding);\n  }\n\n  .jp-InputPrompt {\n    display: table-row;\n    text-align: left;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Placeholder\n|----------------------------------------------------------------------------*/\n\n.jp-Placeholder {\n  display: table;\n  table-layout: fixed;\n  width: 100%;\n}\n\n.jp-Placeholder-prompt {\n  display: table-cell;\n  box-sizing: border-box;\n}\n\n.jp-Placeholder-content {\n  display: table-cell;\n  padding: 4px 6px;\n  border: 1px solid transparent;\n  border-radius: 0;\n  background: none;\n  box-sizing: border-box;\n  cursor: pointer;\n}\n\n.jp-Placeholder-contentContainer {\n  display: flex;\n}\n\n.jp-Placeholder-content:hover,\n.jp-InputPlaceholder > .jp-Placeholder-content:hover {\n  border-color: var(--jp-layout-color3);\n}\n\n.jp-Placeholder-content .jp-MoreHorizIcon {\n  width: 32px;\n  height: 16px;\n  border: 1px solid transparent;\n  border-radius: var(--jp-border-radius);\n}\n\n.jp-Placeholder-content .jp-MoreHorizIcon:hover {\n  border: 1px solid var(--jp-border-color1);\n  box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);\n  background-color: var(--jp-layout-color0);\n}\n\n.jp-PlaceholderText {\n  white-space: nowrap;\n  overflow-x: hidden;\n  color: var(--jp-inverse-layout-color3);\n  font-family: var(--jp-code-font-family);\n}\n\n.jp-InputPlaceholder > .jp-Placeholder-content {\n  border-color: var(--jp-cell-editor-border-color);\n  background: var(--jp-cell-editor-background);\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Private CSS variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-private-cell-scrolling-output-offset: 5px;\n}\n\n/*-----------------------------------------------------------------------------\n| Cell\n|----------------------------------------------------------------------------*/\n\n.jp-Cell {\n  padding: var(--jp-cell-padding);\n  margin: 0;\n  border: none;\n  outline: none;\n  background: transparent;\n}\n\n/*-----------------------------------------------------------------------------\n| Common input/output\n|----------------------------------------------------------------------------*/\n\n.jp-Cell-inputWrapper,\n.jp-Cell-outputWrapper {\n  display: flex;\n  flex-direction: row;\n  padding: 0;\n  margin: 0;\n\n  /* Added to reveal the box-shadow on the input and output collapsers. */\n  overflow: visible;\n}\n\n/* Only input/output areas inside cells */\n.jp-Cell-inputArea,\n.jp-Cell-outputArea {\n  flex: 1 1 auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Collapser\n|----------------------------------------------------------------------------*/\n\n/* Make the output collapser disappear when there is not output, but do so\n * in a manner that leaves it in the layout and preserves its width.\n */\n.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {\n  border: none !important;\n  background: transparent !important;\n}\n\n.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {\n  min-height: var(--jp-cell-collapser-min-height);\n}\n\n/*-----------------------------------------------------------------------------\n| Output\n|----------------------------------------------------------------------------*/\n\n/* Put a space between input and output when there IS output */\n.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {\n  margin-top: 5px;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {\n  overflow-y: auto;\n  max-height: 24em;\n  margin-left: var(--jp-private-cell-scrolling-output-offset);\n  resize: vertical;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {\n  max-height: unset;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {\n  content: ' ';\n  box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);\n  width: 100%;\n  height: 100%;\n  position: sticky;\n  bottom: 0;\n  top: 0;\n  margin-top: -50%;\n  float: left;\n  display: block;\n  pointer-events: none;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {\n  padding-top: 6px;\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {\n  width: calc(\n    var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)\n  );\n}\n\n.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {\n  left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));\n}\n\n/*-----------------------------------------------------------------------------\n| CodeCell\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| MarkdownCell\n|----------------------------------------------------------------------------*/\n\n.jp-MarkdownOutput {\n  display: table-cell;\n  width: 100%;\n  margin-top: 0;\n  margin-bottom: 0;\n  padding-left: var(--jp-code-padding);\n}\n\n.jp-MarkdownOutput.jp-RenderedHTMLCommon {\n  overflow: auto;\n}\n\n/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */\n.jp-collapseHeadingButton {\n  display: flex;\n  min-height: var(--jp-cell-collapser-min-height);\n  font-size: var(--jp-code-font-size);\n  position: absolute;\n  background-color: transparent;\n  background-size: 25px;\n  background-repeat: no-repeat;\n  background-position-x: center;\n  background-position-y: top;\n  background-image: var(--jp-icon-caret-down);\n  right: 0;\n  top: 0;\n  bottom: 0;\n}\n\n.jp-collapseHeadingButton.jp-mod-collapsed {\n  background-image: var(--jp-icon-caret-right);\n}\n\n/*\n set the container font size to match that of content\n so that the nested collapse buttons have the right size\n*/\n.jp-MarkdownCell .jp-InputPrompt {\n  font-size: var(--jp-content-font-size1);\n}\n\n/*\n  Align collapseHeadingButton with cell top header\n  The font sizes are identical to the ones in packages/rendermime/style/base.css\n*/\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {\n  font-size: var(--jp-content-font-size5);\n  background-position-y: calc(0.3 * var(--jp-content-font-size5));\n}\n\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {\n  font-size: var(--jp-content-font-size4);\n  background-position-y: calc(0.3 * var(--jp-content-font-size4));\n}\n\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {\n  font-size: var(--jp-content-font-size3);\n  background-position-y: calc(0.3 * var(--jp-content-font-size3));\n}\n\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {\n  font-size: var(--jp-content-font-size2);\n  background-position-y: calc(0.3 * var(--jp-content-font-size2));\n}\n\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {\n  font-size: var(--jp-content-font-size1);\n  background-position-y: top;\n}\n\n.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {\n  font-size: var(--jp-content-font-size0);\n  background-position-y: top;\n}\n\n/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */\n.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {\n  display: none;\n}\n\n.jp-Notebook.jp-mod-showHiddenCellsButton\n  :is(.jp-MarkdownCell:hover, .jp-mod-active)\n  .jp-collapseHeadingButton {\n  display: flex;\n}\n\n/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which\nis a consequence of the showHiddenCellsButton option in Notebook Settings)*/\n.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {\n  margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));\n  margin-top: var(--jp-code-padding);\n  border: 1px solid var(--jp-border-color2);\n  background-color: var(--jp-border-color3) !important;\n  color: var(--jp-content-font-color0) !important;\n  display: flex;\n}\n\n.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {\n  background-color: var(--jp-border-color2) !important;\n}\n\n.jp-showHiddenCellsButton {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Printing\n|----------------------------------------------------------------------------*/\n\n/*\nUsing block instead of flex to allow the use of the break-inside CSS property for\ncell outputs.\n*/\n\n@media print {\n  .jp-Cell-inputWrapper,\n  .jp-Cell-outputWrapper {\n    display: block;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-notebook-toolbar-padding: 2px 5px 2px 2px;\n}\n\n/*-----------------------------------------------------------------------------\n\n/*-----------------------------------------------------------------------------\n| Styles\n|----------------------------------------------------------------------------*/\n\n.jp-NotebookPanel-toolbar {\n  padding: var(--jp-notebook-toolbar-padding);\n\n  /* disable paint containment from lumino 2.0 default strict CSS containment */\n  contain: style size !important;\n}\n\n.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {\n  border: none;\n  box-shadow: none;\n}\n\n.jp-Notebook-toolbarCellTypeDropdown select {\n  height: 24px;\n  font-size: var(--jp-ui-font-size1);\n  line-height: 14px;\n  border-radius: 0;\n  display: block;\n}\n\n.jp-Notebook-toolbarCellTypeDropdown span {\n  top: 5px !important;\n}\n\n.jp-Toolbar-responsive-popup {\n  position: absolute;\n  height: fit-content;\n  display: flex;\n  flex-direction: row;\n  flex-wrap: wrap;\n  justify-content: flex-end;\n  border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);\n  box-shadow: var(--jp-toolbar-box-shadow);\n  background: var(--jp-toolbar-background);\n  min-height: var(--jp-toolbar-micro-height);\n  padding: var(--jp-notebook-toolbar-padding);\n  z-index: 1;\n  right: 0;\n  top: 0;\n}\n\n.jp-Toolbar > .jp-Toolbar-responsive-opener {\n  margin-left: auto;\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Variables\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n\n/*-----------------------------------------------------------------------------\n| Styles\n|----------------------------------------------------------------------------*/\n\n.jp-Notebook-ExecutionIndicator {\n  position: relative;\n  display: inline-block;\n  height: 100%;\n  z-index: 9997;\n}\n\n.jp-Notebook-ExecutionIndicator-tooltip {\n  visibility: hidden;\n  height: auto;\n  width: max-content;\n  width: -moz-max-content;\n  background-color: var(--jp-layout-color2);\n  color: var(--jp-ui-font-color1);\n  text-align: justify;\n  border-radius: 6px;\n  padding: 0 5px;\n  position: fixed;\n  display: table;\n}\n\n.jp-Notebook-ExecutionIndicator-tooltip.up {\n  transform: translateX(-50%) translateY(-100%) translateY(-32px);\n}\n\n.jp-Notebook-ExecutionIndicator-tooltip.down {\n  transform: translateX(calc(-100% + 16px)) translateY(5px);\n}\n\n.jp-Notebook-ExecutionIndicator-tooltip.hidden {\n  display: none;\n}\n\n.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {\n  visibility: visible;\n}\n\n.jp-Notebook-ExecutionIndicator span {\n  font-size: var(--jp-ui-font-size1);\n  font-family: var(--jp-ui-font-family);\n  color: var(--jp-ui-font-color1);\n  line-height: 24px;\n  display: block;\n}\n\n.jp-Notebook-ExecutionIndicator-progress-bar {\n  display: flex;\n  justify-content: center;\n  height: 100%;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n/*\n * Execution indicator\n */\n.jp-tocItem-content::after {\n  content: '';\n\n  /* Must be identical to form a circle */\n  width: 12px;\n  height: 12px;\n  background: none;\n  border: none;\n  position: absolute;\n  right: 0;\n}\n\n.jp-tocItem-content[data-running='0']::after {\n  border-radius: 50%;\n  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);\n  background: none;\n}\n\n.jp-tocItem-content[data-running='1']::after {\n  border-radius: 50%;\n  border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);\n  background-color: var(--jp-inverse-layout-color3);\n}\n\n.jp-tocItem-content[data-running='0'],\n.jp-tocItem-content[data-running='1'] {\n  margin-right: 12px;\n}\n\n/*\n * Copyright (c) Jupyter Development Team.\n * Distributed under the terms of the Modified BSD License.\n */\n\n.jp-Notebook-footer {\n  height: 27px;\n  margin-left: calc(\n    var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +\n      var(--jp-cell-padding)\n  );\n  width: calc(\n    100% -\n      (\n        var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +\n          var(--jp-cell-padding) + var(--jp-cell-padding)\n      )\n  );\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  color: var(--jp-ui-font-color3);\n  margin-top: 6px;\n  background: none;\n  cursor: pointer;\n}\n\n.jp-Notebook-footer:focus {\n  border-color: var(--jp-cell-editor-active-border-color);\n}\n\n/* For devices that support hovering, hide footer until hover */\n@media (hover: hover) {\n  .jp-Notebook-footer {\n    opacity: 0;\n  }\n\n  .jp-Notebook-footer:focus,\n  .jp-Notebook-footer:hover {\n    opacity: 1;\n  }\n}\n\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| Imports\n|----------------------------------------------------------------------------*/\n\n/*-----------------------------------------------------------------------------\n| CSS variables\n|----------------------------------------------------------------------------*/\n\n:root {\n  --jp-side-by-side-output-size: 1fr;\n  --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);\n  --jp-private-notebook-dragImage-width: 304px;\n  --jp-private-notebook-dragImage-height: 36px;\n  --jp-private-notebook-selected-color: var(--md-blue-400);\n  --jp-private-notebook-active-color: var(--md-green-400);\n}\n\n/*-----------------------------------------------------------------------------\n| Notebook\n|----------------------------------------------------------------------------*/\n\n/* stylelint-disable selector-max-class */\n\n.jp-NotebookPanel {\n  display: block;\n  height: 100%;\n}\n\n.jp-NotebookPanel.jp-Document {\n  min-width: 240px;\n  min-height: 120px;\n}\n\n.jp-Notebook {\n  padding: var(--jp-notebook-padding);\n  outline: none;\n  overflow: auto;\n  background: var(--jp-layout-color0);\n}\n\n.jp-Notebook.jp-mod-scrollPastEnd::after {\n  display: block;\n  content: '';\n  min-height: var(--jp-notebook-scroll-padding);\n}\n\n.jp-MainAreaWidget-ContainStrict .jp-Notebook * {\n  contain: strict;\n}\n\n.jp-Notebook .jp-Cell {\n  overflow: visible;\n}\n\n.jp-Notebook .jp-Cell .jp-InputPrompt {\n  cursor: move;\n}\n\n/*-----------------------------------------------------------------------------\n| Notebook state related styling\n|\n| The notebook and cells each have states, here are the possibilities:\n|\n| - Notebook\n|   - Command\n|   - Edit\n| - Cell\n|   - None\n|   - Active (only one can be active)\n|   - Selected (the cells actions are applied to)\n|   - Multiselected (when multiple selected, the cursor)\n|   - No outputs\n|----------------------------------------------------------------------------*/\n\n/* Command or edit modes */\n\n.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {\n  opacity: var(--jp-cell-prompt-not-active-opacity);\n  color: var(--jp-cell-prompt-not-active-font-color);\n}\n\n.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {\n  opacity: var(--jp-cell-prompt-not-active-opacity);\n  color: var(--jp-cell-prompt-not-active-font-color);\n}\n\n/* cell is active */\n.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {\n  background: var(--jp-brand-color1);\n}\n\n/* cell is dirty */\n.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {\n  color: var(--jp-warn-color1);\n}\n\n.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {\n  color: var(--jp-warn-color1);\n  content: '\u2022';\n}\n\n.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {\n  background: var(--jp-warn-color1);\n}\n\n/* collapser is hovered */\n.jp-Notebook .jp-Cell .jp-Collapser:hover {\n  box-shadow: var(--jp-elevation-z2);\n  background: var(--jp-brand-color1);\n  opacity: var(--jp-cell-collapser-not-active-hover-opacity);\n}\n\n/* cell is active and collapser is hovered */\n.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {\n  background: var(--jp-brand-color0);\n  opacity: 1;\n}\n\n/* Command mode */\n\n.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {\n  background: var(--jp-notebook-multiselected-color);\n}\n\n.jp-Notebook.jp-mod-commandMode\n  .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {\n  background: transparent;\n}\n\n/* Edit mode */\n\n.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {\n  border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);\n  box-shadow: var(--jp-input-box-shadow);\n  background-color: var(--jp-cell-editor-active-background);\n}\n\n/*-----------------------------------------------------------------------------\n| Notebook drag and drop\n|----------------------------------------------------------------------------*/\n\n.jp-Notebook-cell.jp-mod-dropSource {\n  opacity: 0.5;\n}\n\n.jp-Notebook-cell.jp-mod-dropTarget,\n.jp-Notebook.jp-mod-commandMode\n  .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {\n  border-top-color: var(--jp-private-notebook-selected-color);\n  border-top-style: solid;\n  border-top-width: 2px;\n}\n\n.jp-dragImage {\n  display: block;\n  flex-direction: row;\n  width: var(--jp-private-notebook-dragImage-width);\n  height: var(--jp-private-notebook-dragImage-height);\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  background: var(--jp-cell-editor-background);\n  overflow: visible;\n}\n\n.jp-dragImage-singlePrompt {\n  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);\n}\n\n.jp-dragImage .jp-dragImage-content {\n  flex: 1 1 auto;\n  z-index: 2;\n  font-size: var(--jp-code-font-size);\n  font-family: var(--jp-code-font-family);\n  line-height: var(--jp-code-line-height);\n  padding: var(--jp-code-padding);\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  background: var(--jp-cell-editor-background-color);\n  color: var(--jp-content-font-color3);\n  text-align: left;\n  margin: 4px 4px 4px 0;\n}\n\n.jp-dragImage .jp-dragImage-prompt {\n  flex: 0 0 auto;\n  min-width: 36px;\n  color: var(--jp-cell-inprompt-font-color);\n  padding: var(--jp-code-padding);\n  padding-left: 12px;\n  font-family: var(--jp-cell-prompt-font-family);\n  letter-spacing: var(--jp-cell-prompt-letter-spacing);\n  line-height: 1.9;\n  font-size: var(--jp-code-font-size);\n  border: var(--jp-border-width) solid transparent;\n}\n\n.jp-dragImage-multipleBack {\n  z-index: -1;\n  position: absolute;\n  height: 32px;\n  width: 300px;\n  top: 8px;\n  left: 8px;\n  background: var(--jp-layout-color2);\n  border: var(--jp-border-width) solid var(--jp-input-border-color);\n  box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);\n}\n\n/*-----------------------------------------------------------------------------\n| Cell toolbar\n|----------------------------------------------------------------------------*/\n\n.jp-NotebookTools {\n  display: block;\n  min-width: var(--jp-sidebar-min-width);\n  color: var(--jp-ui-font-color1);\n  background: var(--jp-layout-color1);\n\n  /* This is needed so that all font sizing of children done in ems is\n    * relative to this base size */\n  font-size: var(--jp-ui-font-size1);\n  overflow: auto;\n}\n\n.jp-ActiveCellTool {\n  padding: 12px 0;\n  display: flex;\n}\n\n.jp-ActiveCellTool-Content {\n  flex: 1 1 auto;\n}\n\n.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {\n  background: var(--jp-cell-editor-background);\n  border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);\n  border-radius: 0;\n  min-height: 29px;\n}\n\n.jp-ActiveCellTool .jp-InputPrompt {\n  min-width: calc(var(--jp-cell-prompt-width) * 0.75);\n}\n\n.jp-ActiveCellTool-CellContent > pre {\n  padding: 5px 4px;\n  margin: 0;\n  white-space: normal;\n}\n\n.jp-MetadataEditorTool {\n  flex-direction: column;\n  padding: 12px 0;\n}\n\n.jp-RankedPanel > :not(:first-child) {\n  margin-top: 12px;\n}\n\n.jp-KeySelector select.jp-mod-styled {\n  font-size: var(--jp-ui-font-size1);\n  color: var(--jp-ui-font-color0);\n  border: var(--jp-border-width) solid var(--jp-border-color1);\n}\n\n.jp-KeySelector label,\n.jp-MetadataEditorTool label,\n.jp-NumberSetter label {\n  line-height: 1.4;\n}\n\n.jp-NotebookTools .jp-select-wrapper {\n  margin-top: 4px;\n  margin-bottom: 0;\n}\n\n.jp-NumberSetter input {\n  width: 100%;\n  margin-top: 4px;\n}\n\n.jp-NotebookTools .jp-Collapse {\n  margin-top: 16px;\n}\n\n/*-----------------------------------------------------------------------------\n| Presentation Mode (.jp-mod-presentationMode)\n|----------------------------------------------------------------------------*/\n\n.jp-mod-presentationMode .jp-Notebook {\n  --jp-content-font-size1: var(--jp-content-presentation-font-size1);\n  --jp-code-font-size: var(--jp-code-presentation-font-size);\n}\n\n.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,\n.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {\n  flex: 0 0 110px;\n}\n\n/*-----------------------------------------------------------------------------\n| Side-by-side Mode (.jp-mod-sideBySide)\n|----------------------------------------------------------------------------*/\n.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {\n  margin-top: 3em;\n  margin-bottom: 3em;\n  margin-left: 5%;\n  margin-right: 5%;\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {\n  display: grid;\n  grid-template-columns: minmax(0, 1fr) min-content minmax(\n      0,\n      var(--jp-side-by-side-output-size)\n    );\n  grid-template-rows: auto minmax(0, 1fr) auto;\n  grid-template-areas:\n    'header header header'\n    'input handle output'\n    'footer footer footer';\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {\n  grid-template-columns: minmax(0, 1fr) min-content minmax(\n      0,\n      var(--jp-side-by-side-resized-cell)\n    );\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {\n  grid-area: header;\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {\n  grid-area: input;\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {\n  /* overwrite the default margin (no vertical separation needed in side by side move */\n  margin-top: 0;\n  grid-area: output;\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {\n  grid-area: footer;\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {\n  grid-area: handle;\n  user-select: none;\n  display: block;\n  height: 100%;\n  cursor: ew-resize;\n  padding: 0 var(--jp-cell-padding);\n}\n\n.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {\n  content: '';\n  display: block;\n  background: var(--jp-border-color2);\n  height: 100%;\n  width: 5px;\n}\n\n.jp-mod-sideBySide.jp-Notebook\n  .jp-CodeCell.jp-mod-resizedCell\n  .jp-CellResizeHandle::after {\n  background: var(--jp-border-color0);\n}\n\n.jp-CellResizeHandle {\n  display: none;\n}\n\n/*-----------------------------------------------------------------------------\n| Placeholder\n|----------------------------------------------------------------------------*/\n\n.jp-Cell-Placeholder {\n  padding-left: 55px;\n}\n\n.jp-Cell-Placeholder-wrapper {\n  background: #fff;\n  border: 1px solid;\n  border-color: #e5e6e9 #dfe0e4 #d0d1d5;\n  border-radius: 4px;\n  -webkit-border-radius: 4px;\n  margin: 10px 15px;\n}\n\n.jp-Cell-Placeholder-wrapper-inner {\n  padding: 15px;\n  position: relative;\n}\n\n.jp-Cell-Placeholder-wrapper-body {\n  background-repeat: repeat;\n  background-size: 50% auto;\n}\n\n.jp-Cell-Placeholder-wrapper-body div {\n  background: #f6f7f8;\n  background-image: -webkit-linear-gradient(\n    left,\n    #f6f7f8 0%,\n    #edeef1 20%,\n    #f6f7f8 40%,\n    #f6f7f8 100%\n  );\n  background-repeat: no-repeat;\n  background-size: 800px 104px;\n  height: 104px;\n  position: absolute;\n  right: 15px;\n  left: 15px;\n  top: 15px;\n}\n\ndiv.jp-Cell-Placeholder-h1 {\n  top: 20px;\n  height: 20px;\n  left: 15px;\n  width: 150px;\n}\n\ndiv.jp-Cell-Placeholder-h2 {\n  left: 15px;\n  top: 50px;\n  height: 10px;\n  width: 100px;\n}\n\ndiv.jp-Cell-Placeholder-content-1,\ndiv.jp-Cell-Placeholder-content-2,\ndiv.jp-Cell-Placeholder-content-3 {\n  left: 15px;\n  right: 15px;\n  height: 10px;\n}\n\ndiv.jp-Cell-Placeholder-content-1 {\n  top: 100px;\n}\n\ndiv.jp-Cell-Placeholder-content-2 {\n  top: 120px;\n}\n\ndiv.jp-Cell-Placeholder-content-3 {\n  top: 140px;\n}\n\n</style>\n<style type=\"text/css\">\n/*-----------------------------------------------------------------------------\n| Copyright (c) Jupyter Development Team.\n| Distributed under the terms of the Modified BSD License.\n|----------------------------------------------------------------------------*/\n\n/*\nThe following CSS variables define the main, public API for styling JupyterLab.\nThese variables should be used by all plugins wherever possible. In other\nwords, plugins should not define custom colors, sizes, etc unless absolutely\nnecessary. This enables users to change the visual theme of JupyterLab\nby changing these variables.\n\nMany variables appear in an ordered sequence (0,1,2,3). These sequences\nare designed to work well together, so for example, `--jp-border-color1` should\nbe used with `--jp-layout-color1`. The numbers have the following meanings:\n\n* 0: super-primary, reserved for special emphasis\n* 1: primary, most important under normal situations\n* 2: secondary, next most important under normal situations\n* 3: tertiary, next most important under normal situations\n\nThroughout JupyterLab, we are mostly following principles from Google's\nMaterial Design when selecting colors. We are not, however, following\nall of MD as it is not optimized for dense, information rich UIs.\n*/\n\n:root {\n  /* Elevation\n   *\n   * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:\n   *\n   * https://github.com/material-components/material-components-web\n   * https://material-components-web.appspot.com/elevation.html\n   */\n\n  --jp-shadow-base-lightness: 0;\n  --jp-shadow-umbra-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.2\n  );\n  --jp-shadow-penumbra-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.14\n  );\n  --jp-shadow-ambient-color: rgba(\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    var(--jp-shadow-base-lightness),\n    0.12\n  );\n  --jp-elevation-z0: none;\n  --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),\n    0 1px 1px 0 var(--jp-shadow-penumbra-color),\n    0 1px 3px 0 var(--jp-shadow-ambient-color);\n  --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),\n    0 2px 2px 0 var(--jp-shadow-penumbra-color),\n    0 1px 5px 0 var(--jp-shadow-ambient-color);\n  --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),\n    0 4px 5px 0 var(--jp-shadow-penumbra-color),\n    0 1px 10px 0 var(--jp-shadow-ambient-color);\n  --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),\n    0 6px 10px 0 var(--jp-shadow-penumbra-color),\n    0 1px 18px 0 var(--jp-shadow-ambient-color);\n  --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),\n    0 8px 10px 1px var(--jp-shadow-penumbra-color),\n    0 3px 14px 2px var(--jp-shadow-ambient-color);\n  --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),\n    0 12px 17px 2px var(--jp-shadow-penumbra-color),\n    0 5px 22px 4px var(--jp-shadow-ambient-color);\n  --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),\n    0 16px 24px 2px var(--jp-shadow-penumbra-color),\n    0 6px 30px 5px var(--jp-shadow-ambient-color);\n  --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),\n    0 20px 31px 3px var(--jp-shadow-penumbra-color),\n    0 8px 38px 7px var(--jp-shadow-ambient-color);\n  --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),\n    0 24px 38px 3px var(--jp-shadow-penumbra-color),\n    0 9px 46px 8px var(--jp-shadow-ambient-color);\n\n  /* Borders\n   *\n   * The following variables, specify the visual styling of borders in JupyterLab.\n   */\n\n  --jp-border-width: 1px;\n  --jp-border-color0: var(--md-grey-400);\n  --jp-border-color1: var(--md-grey-400);\n  --jp-border-color2: var(--md-grey-300);\n  --jp-border-color3: var(--md-grey-200);\n  --jp-inverse-border-color: var(--md-grey-600);\n  --jp-border-radius: 2px;\n\n  /* UI Fonts\n   *\n   * The UI font CSS variables are used for the typography all of the JupyterLab\n   * user interface elements that are not directly user generated content.\n   *\n   * The font sizing here is done assuming that the body font size of --jp-ui-font-size1\n   * is applied to a parent element. When children elements, such as headings, are sized\n   * in em all things will be computed relative to that body size.\n   */\n\n  --jp-ui-font-scale-factor: 1.2;\n  --jp-ui-font-size0: 0.83333em;\n  --jp-ui-font-size1: 13px; /* Base font size */\n  --jp-ui-font-size2: 1.2em;\n  --jp-ui-font-size3: 1.44em;\n  --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',\n    helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',\n    'Segoe UI Symbol';\n\n  /*\n   * Use these font colors against the corresponding main layout colors.\n   * In a light theme, these go from dark to light.\n   */\n\n  /* Defaults use Material Design specification */\n  --jp-ui-font-color0: rgba(0, 0, 0, 1);\n  --jp-ui-font-color1: rgba(0, 0, 0, 0.87);\n  --jp-ui-font-color2: rgba(0, 0, 0, 0.54);\n  --jp-ui-font-color3: rgba(0, 0, 0, 0.38);\n\n  /*\n   * Use these against the brand/accent/warn/error colors.\n   * These will typically go from light to darker, in both a dark and light theme.\n   */\n\n  --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);\n  --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);\n  --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);\n  --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);\n\n  /* Content Fonts\n   *\n   * Content font variables are used for typography of user generated content.\n   *\n   * The font sizing here is done assuming that the body font size of --jp-content-font-size1\n   * is applied to a parent element. When children elements, such as headings, are sized\n   * in em all things will be computed relative to that body size.\n   */\n\n  --jp-content-line-height: 1.6;\n  --jp-content-font-scale-factor: 1.2;\n  --jp-content-font-size0: 0.83333em;\n  --jp-content-font-size1: 14px; /* Base font size */\n  --jp-content-font-size2: 1.2em;\n  --jp-content-font-size3: 1.44em;\n  --jp-content-font-size4: 1.728em;\n  --jp-content-font-size5: 2.0736em;\n\n  /* This gives a magnification of about 125% in presentation mode over normal. */\n  --jp-content-presentation-font-size1: 17px;\n  --jp-content-heading-line-height: 1;\n  --jp-content-heading-margin-top: 1.2em;\n  --jp-content-heading-margin-bottom: 0.8em;\n  --jp-content-heading-font-weight: 500;\n\n  /* Defaults use Material Design specification */\n  --jp-content-font-color0: rgba(0, 0, 0, 1);\n  --jp-content-font-color1: rgba(0, 0, 0, 0.87);\n  --jp-content-font-color2: rgba(0, 0, 0, 0.54);\n  --jp-content-font-color3: rgba(0, 0, 0, 0.38);\n  --jp-content-link-color: var(--md-blue-900);\n  --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,\n    'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',\n    'Segoe UI Emoji', 'Segoe UI Symbol';\n\n  /*\n   * Code Fonts\n   *\n   * Code font variables are used for typography of code and other monospaces content.\n   */\n\n  --jp-code-font-size: 13px;\n  --jp-code-line-height: 1.3077; /* 17px for 13px base */\n  --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */\n  --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;\n  --jp-code-font-family: var(--jp-code-font-family-default);\n\n  /* This gives a magnification of about 125% in presentation mode over normal. */\n  --jp-code-presentation-font-size: 16px;\n\n  /* may need to tweak cursor width if you change font size */\n  --jp-code-cursor-width0: 1.4px;\n  --jp-code-cursor-width1: 2px;\n  --jp-code-cursor-width2: 4px;\n\n  /* Layout\n   *\n   * The following are the main layout colors use in JupyterLab. In a light\n   * theme these would go from light to dark.\n   */\n\n  --jp-layout-color0: white;\n  --jp-layout-color1: white;\n  --jp-layout-color2: var(--md-grey-200);\n  --jp-layout-color3: var(--md-grey-400);\n  --jp-layout-color4: var(--md-grey-600);\n\n  /* Inverse Layout\n   *\n   * The following are the inverse layout colors use in JupyterLab. In a light\n   * theme these would go from dark to light.\n   */\n\n  --jp-inverse-layout-color0: #111;\n  --jp-inverse-layout-color1: var(--md-grey-900);\n  --jp-inverse-layout-color2: var(--md-grey-800);\n  --jp-inverse-layout-color3: var(--md-grey-700);\n  --jp-inverse-layout-color4: var(--md-grey-600);\n\n  /* Brand/accent */\n\n  --jp-brand-color0: var(--md-blue-900);\n  --jp-brand-color1: var(--md-blue-700);\n  --jp-brand-color2: var(--md-blue-300);\n  --jp-brand-color3: var(--md-blue-100);\n  --jp-brand-color4: var(--md-blue-50);\n  --jp-accent-color0: var(--md-green-900);\n  --jp-accent-color1: var(--md-green-700);\n  --jp-accent-color2: var(--md-green-300);\n  --jp-accent-color3: var(--md-green-100);\n\n  /* State colors (warn, error, success, info) */\n\n  --jp-warn-color0: var(--md-orange-900);\n  --jp-warn-color1: var(--md-orange-700);\n  --jp-warn-color2: var(--md-orange-300);\n  --jp-warn-color3: var(--md-orange-100);\n  --jp-error-color0: var(--md-red-900);\n  --jp-error-color1: var(--md-red-700);\n  --jp-error-color2: var(--md-red-300);\n  --jp-error-color3: var(--md-red-100);\n  --jp-success-color0: var(--md-green-900);\n  --jp-success-color1: var(--md-green-700);\n  --jp-success-color2: var(--md-green-300);\n  --jp-success-color3: var(--md-green-100);\n  --jp-info-color0: var(--md-cyan-900);\n  --jp-info-color1: var(--md-cyan-700);\n  --jp-info-color2: var(--md-cyan-300);\n  --jp-info-color3: var(--md-cyan-100);\n\n  /* Cell specific styles */\n\n  --jp-cell-padding: 5px;\n  --jp-cell-collapser-width: 8px;\n  --jp-cell-collapser-min-height: 20px;\n  --jp-cell-collapser-not-active-hover-opacity: 0.6;\n  --jp-cell-editor-background: var(--md-grey-100);\n  --jp-cell-editor-border-color: var(--md-grey-300);\n  --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);\n  --jp-cell-editor-active-background: var(--jp-layout-color0);\n  --jp-cell-editor-active-border-color: var(--jp-brand-color1);\n  --jp-cell-prompt-width: 64px;\n  --jp-cell-prompt-font-family: var(--jp-code-font-family-default);\n  --jp-cell-prompt-letter-spacing: 0;\n  --jp-cell-prompt-opacity: 1;\n  --jp-cell-prompt-not-active-opacity: 0.5;\n  --jp-cell-prompt-not-active-font-color: var(--md-grey-700);\n\n  /* A custom blend of MD grey and blue 600\n   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */\n  --jp-cell-inprompt-font-color: #307fc1;\n\n  /* A custom blend of MD grey and orange 600\n   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */\n  --jp-cell-outprompt-font-color: #bf5b3d;\n\n  /* Notebook specific styles */\n\n  --jp-notebook-padding: 10px;\n  --jp-notebook-select-background: var(--jp-layout-color1);\n  --jp-notebook-multiselected-color: var(--md-blue-50);\n\n  /* The scroll padding is calculated to fill enough space at the bottom of the\n  notebook to show one single-line cell (with appropriate padding) at the top\n  when the notebook is scrolled all the way to the bottom. We also subtract one\n  pixel so that no scrollbar appears if we have just one single-line cell in the\n  notebook. This padding is to enable a 'scroll past end' feature in a notebook.\n  */\n  --jp-notebook-scroll-padding: calc(\n    100% - var(--jp-code-font-size) * var(--jp-code-line-height) -\n      var(--jp-code-padding) - var(--jp-cell-padding) - 1px\n  );\n\n  /* Rendermime styles */\n\n  --jp-rendermime-error-background: #fdd;\n  --jp-rendermime-table-row-background: var(--md-grey-100);\n  --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);\n\n  /* Dialog specific styles */\n\n  --jp-dialog-background: rgba(0, 0, 0, 0.25);\n\n  /* Console specific styles */\n\n  --jp-console-padding: 10px;\n\n  /* Toolbar specific styles */\n\n  --jp-toolbar-border-color: var(--jp-border-color1);\n  --jp-toolbar-micro-height: 8px;\n  --jp-toolbar-background: var(--jp-layout-color1);\n  --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);\n  --jp-toolbar-header-margin: 4px 4px 0 4px;\n  --jp-toolbar-active-background: var(--md-grey-300);\n\n  /* Statusbar specific styles */\n\n  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result.appendChild(summary);\n\n      const warning = document.createElement(\"pre\");\n      warning.innerText = errorMessage;\n      result.appendChild(warning);\n      return [result];\n    }\n\n    async function renderOneMarmaid(src) {\n      const id = `jp-mermaid-${_nextMermaidId++}`;\n      const parent = src.parentNode;\n      let raw = src.textContent.trim();\n      const el = document.createElement(\"div\");\n      el.style.visibility = \"hidden\";\n      document.body.appendChild(el);\n      let results = null;\n      let output = null;\n      try {\n        let { svg } = await mermaid.render(id, raw, el);\n        svg = cleanMermaidSvg(svg);\n        results = makeMermaidImage(svg);\n        output = document.createElement(\"figure\");\n        results.map(output.appendChild, output);\n      } catch (err) {\n        parent.classList.add(\"jp-mod-warning\");\n        results = await makeMermaidError(raw);\n        output = results[0];\n      } finally {\n        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replaceVoidElement(match, tag, rest) {\n      rest = rest.trim();\n      if (!rest.endsWith('/')) {\n        rest = `${rest} /`;\n      }\n      return `<${tag} ${rest}>`;\n    }\n\n\n  /**\n   * Named HTML entities with their decimal equivalent codes.\n   *\n   * @see https://www.w3.org/TR/WD-html40-970708/sgml/entities.html\n   * */\n  const HTML_ENTITIES = `<!ENTITY Aacute \"&#193;\">\n<!ENTITY aacute \"&#225;\">\n<!ENTITY Acirc \"&#194;\">\n<!ENTITY acirc \"&#226;\">\n<!ENTITY acute \"&#180;\">\n<!ENTITY AElig \"&#198;\">\n<!ENTITY aelig \"&#230;\">\n<!ENTITY Agrave \"&#192;\">\n<!ENTITY agrave \"&#224;\">\n<!ENTITY alefsym \"&#8501;\">\n<!ENTITY Alpha \"&#913;\">\n<!ENTITY alpha \"&#945;\">\n<!ENTITY amp \"&#38;\">\n<!ENTITY and \"&#8869;\">\n<!ENTITY ang \"&#8736;\">\n<!ENTITY Aring \"&#197;\">\n<!ENTITY aring \"&#229;\">\n<!ENTITY asymp \"&#8776;\">\n<!ENTITY Atilde \"&#195;\">\n<!ENTITY atilde \"&#227;\">\n<!ENTITY Auml \"&#196;\">\n<!ENTITY auml \"&#228;\">\n<!ENTITY bdquo \"&#8222;\">\n<!ENTITY Beta \"&#914;\">\n<!ENTITY beta \"&#946;\">\n<!ENTITY brvbar \"&#166;\">\n<!ENTITY bull \"&#8226;\">\n<!ENTITY cap \"&#8745;\">\n<!ENTITY Ccedil \"&#199;\">\n<!ENTITY ccedil \"&#231;\">\n<!ENTITY cedil \"&#184;\">\n<!ENTITY cent \"&#162;\">\n<!ENTITY Chi \"&#935;\">\n<!ENTITY chi \"&#967;\">\n<!ENTITY circ \"&#710;\">\n<!ENTITY clubs \"&#9827;\">\n<!ENTITY cong \"&#8773;\">\n<!ENTITY copy \"&#169;\">\n<!ENTITY crarr \"&#8629;\">\n<!ENTITY cup \"&#8746;\">\n<!ENTITY curren \"&#164;\">\n<!ENTITY dagger \"&#8224;\">\n<!ENTITY Dagger \"&#8225;\">\n<!ENTITY darr \"&#8595;\">\n<!ENTITY dArr \"&#8659;\">\n<!ENTITY deg \"&#176;\">\n<!ENTITY Delta \"&#916;\">\n<!ENTITY delta \"&#948;\">\n<!ENTITY diams \"&#9830;\">\n<!ENTITY divide \"&#247;\">\n<!ENTITY Eacute \"&#201;\">\n<!ENTITY eacute \"&#233;\">\n<!ENTITY Ecirc \"&#202;\">\n<!ENTITY ecirc \"&#234;\">\n<!ENTITY Egrave \"&#200;\">\n<!ENTITY egrave \"&#232;\">\n<!ENTITY empty \"&#8709;\">\n<!ENTITY emsp \"&#8195;\">\n<!ENTITY ensp \"&#8194;\">\n<!ENTITY epsilon \"&#949;\">\n<!ENTITY Epsilon \"&#917;\">\n<!ENTITY equiv \"&#8801;\">\n<!ENTITY Eta \"&#919;\">\n<!ENTITY eta \"&#951;\">\n<!ENTITY ETH \"&#208;\">\n<!ENTITY eth \"&#240;\">\n<!ENTITY Euml \"&#203;\">\n<!ENTITY euml \"&#235;\">\n<!ENTITY exist \"&#8707;\">\n<!ENTITY fnof \"&#402;\">\n<!ENTITY forall \"&#8704;\">\n<!ENTITY frac12 \"&#189;\">\n<!ENTITY frac14 \"&#188;\">\n<!ENTITY frac34 \"&#190;\">\n<!ENTITY frasl \"&#8260;\">\n<!ENTITY Gamma \"&#915;\">\n<!ENTITY gamma \"&#947;\">\n<!ENTITY ge \"&#8805;\">\n<!ENTITY gt \"&#62;\">\n<!ENTITY harr \"&#8596;\">\n<!ENTITY hArr \"&#8660;\">\n<!ENTITY hearts \"&#9829;\">\n<!ENTITY hellip \"&#8230;\">\n<!ENTITY Iacute \"&#205;\">\n<!ENTITY iacute \"&#237;\">\n<!ENTITY Icirc \"&#206;\">\n<!ENTITY icirc \"&#238;\">\n<!ENTITY iexcl \"&#161;\">\n<!ENTITY Igrave \"&#204;\">\n<!ENTITY igrave \"&#236;\">\n<!ENTITY image \"&#8465;\">\n<!ENTITY infin \"&#8734;\">\n<!ENTITY int \"&#8747;\">\n<!ENTITY Iota \"&#921;\">\n<!ENTITY iota \"&#953;\">\n<!ENTITY iquest \"&#191;\">\n<!ENTITY isin \"&#8712;\">\n<!ENTITY Iuml \"&#207;\">\n<!ENTITY iuml \"&#239;\">\n<!ENTITY Kappa \"&#922;\">\n<!ENTITY kappa \"&#954;\">\n<!ENTITY Lambda \"&#923;\">\n<!ENTITY lambda \"&#955;\">\n<!ENTITY lang \"&#9001;\">\n<!ENTITY laquo \"&#171;\">\n<!ENTITY larr \"&#8592;\">\n<!ENTITY lArr \"&#8656;\">\n<!ENTITY lceil \"&#8968;\">\n<!ENTITY ldquo \"&#8220;\">\n<!ENTITY le \"&#8804;\">\n<!ENTITY lfloor \"&#8970;\">\n<!ENTITY lowast \"&#8727;\">\n<!ENTITY loz \"&#9674;\">\n<!ENTITY lrm \"&#8206;\">\n<!ENTITY lsaquo \"&#8249;\">\n<!ENTITY lsquo \"&#8216;\">\n<!ENTITY lt \"&#60;\">\n<!ENTITY macr \"&#175;\">\n<!ENTITY mdash \"&#8212;\">\n<!ENTITY micro \"&#181;\">\n<!ENTITY middot \"&#183;\">\n<!ENTITY minus \"&#8722;\">\n<!ENTITY Mu \"&#924;\">\n<!ENTITY mu \"&#956;\">\n<!ENTITY nabla \"&#8711;\">\n<!ENTITY nbsp \"&#160;\">\n<!ENTITY ndash \"&#8211;\">\n<!ENTITY ne \"&#8800;\">\n<!ENTITY ni \"&#8715;\">\n<!ENTITY not \"&#172;\">\n<!ENTITY notin \"&#8713;\">\n<!ENTITY nsub \"&#8836;\">\n<!ENTITY Ntilde \"&#209;\">\n<!ENTITY ntilde \"&#241;\">\n<!ENTITY Nu \"&#925;\">\n<!ENTITY nu \"&#957;\">\n<!ENTITY Oacute \"&#211;\">\n<!ENTITY oacute \"&#243;\">\n<!ENTITY Ocirc \"&#212;\">\n<!ENTITY ocirc \"&#244;\">\n<!ENTITY OElig \"&#338;\">\n<!ENTITY oelig \"&#339;\">\n<!ENTITY Ograve \"&#210;\">\n<!ENTITY ograve \"&#242;\">\n<!ENTITY oline \"&#8254;\">\n<!ENTITY Omega \"&#937;\">\n<!ENTITY omega \"&#969;\">\n<!ENTITY Omicron \"&#927;\">\n<!ENTITY omicron \"&#959;\">\n<!ENTITY oplus \"&#8853;\">\n<!ENTITY or \"&#8870;\">\n<!ENTITY ordf \"&#170;\">\n<!ENTITY ordm \"&#186;\">\n<!ENTITY Oslash \"&#216;\">\n<!ENTITY oslash \"&#248;\">\n<!ENTITY Otilde \"&#213;\">\n<!ENTITY otilde \"&#245;\">\n<!ENTITY otimes \"&#8855;\">\n<!ENTITY Ouml \"&#214;\">\n<!ENTITY ouml \"&#246;\">\n<!ENTITY para \"&#182;\">\n<!ENTITY part \"&#8706;\">\n<!ENTITY permil \"&#8240;\">\n<!ENTITY perp \"&#8869;\">\n<!ENTITY Phi \"&#934;\">\n<!ENTITY phi \"&#966;\">\n<!ENTITY Pi \"&#928;\">\n<!ENTITY pi \"&#960;\">\n<!ENTITY piv \"&#982;\">\n<!ENTITY plusmn \"&#177;\">\n<!ENTITY pound \"&#163;\">\n<!ENTITY prime \"&#8242;\">\n<!ENTITY Prime \"&#8243;\">\n<!ENTITY prod \"&#8719;\">\n<!ENTITY prop \"&#8733;\">\n<!ENTITY Psi \"&#936;\">\n<!ENTITY psi \"&#968;\">\n<!ENTITY quot \"&#34;\">\n<!ENTITY radic \"&#8730;\">\n<!ENTITY rang \"&#9002;\">\n<!ENTITY raquo \"&#187;\">\n<!ENTITY rarr \"&#8594;\">\n<!ENTITY rArr \"&#8658;\">\n<!ENTITY rceil \"&#8969;\">\n<!ENTITY rdquo \"&#8221;\">\n<!ENTITY real \"&#8476;\">\n<!ENTITY reg \"&#174;\">\n<!ENTITY rfloor \"&#8971;\">\n<!ENTITY Rho \"&#929;\">\n<!ENTITY rho \"&#961;\">\n<!ENTITY rlm \"&#8207;\">\n<!ENTITY rsaquo \"&#8250;\">\n<!ENTITY rsquo \"&#8217;\">\n<!ENTITY sbquo \"&#8218;\">\n<!ENTITY Scaron \"&#352;\">\n<!ENTITY scaron \"&#353;\">\n<!ENTITY sdot \"&#8901;\">\n<!ENTITY sect \"&#167;\">\n<!ENTITY shy \"&#173;\">\n<!ENTITY Sigma \"&#931;\">\n<!ENTITY sigma \"&#963;\">\n<!ENTITY sigmaf \"&#962;\">\n<!ENTITY sim \"&#8764;\">\n<!ENTITY spades \"&#9824;\">\n<!ENTITY sub \"&#8834;\">\n<!ENTITY sube \"&#8838;\">\n<!ENTITY sum \"&#8721;\">\n<!ENTITY sup \"&#8835;\">\n<!ENTITY sup1 \"&#185;\">\n<!ENTITY sup2 \"&#178;\">\n<!ENTITY sup3 \"&#179;\">\n<!ENTITY supe \"&#8839;\">\n<!ENTITY szlig \"&#223;\">\n<!ENTITY Tau \"&#932;\">\n<!ENTITY tau \"&#964;\">\n<!ENTITY there4 \"&#8756;\">\n<!ENTITY Theta \"&#920;\">\n<!ENTITY theta \"&#952;\">\n<!ENTITY thetasym \"&#977;\">\n<!ENTITY thinsp \"&#8201;\">\n<!ENTITY THORN \"&#222;\">\n<!ENTITY thorn \"&#254;\">\n<!ENTITY tilde \"&#732;\">\n<!ENTITY times \"&#215;\">\n<!ENTITY trade \"&#8482;\">\n<!ENTITY Uacute \"&#218;\">\n<!ENTITY uacute \"&#250;\">\n<!ENTITY uarr \"&#8593;\">\n<!ENTITY uArr \"&#8657;\">\n<!ENTITY Ucirc \"&#219;\">\n<!ENTITY ucirc \"&#251;\">\n<!ENTITY Ugrave \"&#217;\">\n<!ENTITY ugrave \"&#249;\">\n<!ENTITY uml \"&#168;\">\n<!ENTITY upsih \"&#978;\">\n<!ENTITY Upsilon \"&#933;\">\n<!ENTITY upsilon \"&#965;\">\n<!ENTITY Uuml \"&#220;\">\n<!ENTITY uuml \"&#252;\">\n<!ENTITY weierp \"&#8472;\">\n<!ENTITY Xi \"&#926;\">\n<!ENTITY xi \"&#958;\">\n<!ENTITY Yacute \"&#221;\">\n<!ENTITY yacute \"&#253;\">\n<!ENTITY yen \"&#165;\">\n<!ENTITY Yuml \"&#376;\">\n<!ENTITY yuml \"&#255;\">\n<!ENTITY Zeta \"&#918;\">\n<!ENTITY zeta \"&#950;\">\n<!ENTITY zwj \"&#8205;\">\n<!ENTITY zwnj \"&#8204;\">`.replace(/\\n/g, ' ');\n\n  /**\n   * A reasonably strict xml declaration.\n   */\n  const XML_DECL = '<?xml version=\"1.0\" standalone=\"no\"?>';\n\n  /**\n   * The beginning of the XML doctype declaration.\n   */\n  const DOCTYPE_START = `<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\" \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\" [`;\n\n  /**\n   * The end of the XML docype declaration.\n   */\n  const DOCTYPE_END = ']>';\n\n  /**\n   * A full header for an SVG XML document.\n   */\n  const SVG_XML_HEADER = `${XML_DECL}\n    ${DOCTYPE_START}${HTML_ENTITIES}${DOCTYPE_END}`;\n\n    void Promise.all([...diagrams].map(renderOneMarmaid));\n  });\n</script>\n<style>\n  .jp-Mermaid:not(.jp-RenderedMermaid) {\n    display: none;\n  }\n\n  .jp-RenderedMermaid {\n    overflow: auto;\n    display: flex;\n  }\n\n  .jp-RenderedMermaid.jp-mod-warning {\n    width: auto;\n    padding: 0.5em;\n    margin-top: 0.5em;\n    border: var(--jp-border-width) solid var(--jp-warn-color2);\n    border-radius: var(--jp-border-radius);\n    color: var(--jp-ui-font-color1);\n    font-size: var(--jp-ui-font-size1);\n    white-space: pre-wrap;\n    word-wrap: break-word;\n  }\n\n  .jp-RenderedMermaid figure {\n    margin: 0;\n    overflow: auto;\n    max-width: 100%;\n  }\n\n  .jp-RenderedMermaid img {\n    max-width: 100%;\n  }\n\n  .jp-RenderedMermaid-Details > pre {\n    margin-top: 1em;\n  }\n\n  .jp-RenderedMermaid-Summary {\n    color: var(--jp-warn-color2);\n  }\n\n  .jp-RenderedMermaid:not(.jp-mod-warning) pre {\n    display: none;\n  }\n\n  .jp-RenderedMermaid-Summary > pre {\n    display: inline-block;\n    white-space: normal;\n  }\n</style>\n<!-- End of mermaid configuration --></head>\n<body class=\"jp-Notebook\" data-jp-theme-light=\"true\" data-jp-theme-name=\"JupyterLab Light\">\n<main>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=d7a1d952-cc35-468a-9a95-b4d805a38a0b\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h1 id=\"Visualising-ACTRIS-data-with-Providentia\">Visualising ACTRIS data with Providentia<a class=\"anchor-link\" href=\"#Visualising-ACTRIS-data-with-Providentia\">\u00b6</a></h1>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=06b268ca-21e7-4dba-ad33-95a7d895b1f8\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Import-libraries\">Import libraries<a class=\"anchor-link\" href=\"#Import-libraries\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs\" id=\"cell-id=8f6e051e\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[1]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"o\">%</span><span class=\"n\">matplotlib</span> <span class=\"n\">inline</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs\" id=\"cell-id=2bcb3cec-2896-4ce9-993a-de4c559689dc\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[2]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">sys</span>\n<span class=\"n\">sys</span><span class=\"o\">.</span><span class=\"n\">path</span><span class=\"o\">.</span><span class=\"n\">append</span><span class=\"p\">(</span><span class=\"s1\">'/tljh-home/shared/providentia'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs\" id=\"cell-id=80e27f39-503a-4a04-bf43-619aa4a9e822\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[3]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"kn\">import</span><span class=\"w\"> </span><span class=\"nn\">providentia</span><span class=\"w\"> </span><span class=\"k\">as</span><span class=\"w\"> </span><span class=\"nn\">prv</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=d9f54c83-739d-4ea5-baf7-221e5ea75871\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Load-configuration-file\">Load configuration file<a class=\"anchor-link\" href=\"#Load-configuration-file\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=2b5312c8-a630-4cf2-ba2f-01f27e7633fe\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>We are going to load hourly data for ozone mass concentration from the ACTRIS framework for the year 2018.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs\" id=\"cell-id=3c943a3d-9d3b-4ab8-b551-51d952a64b62\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[4]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span> <span class=\"o\">=</span> <span class=\"n\">prv</span><span class=\"o\">.</span><span class=\"n\">Providentia</span><span class=\"p\">(</span><span class=\"s1\">'actris_vre.conf'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=39b86a67-7609-425f-8e93-b01b7d8ada7e\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[5]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">print_config</span><span class=\"p\">()</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>[ACTRIS]\nframework = actris/actris\nspecies = ozone mass concentration\nresolution = hourly\nstart_date = 20240101\nend_date = 20250101\nreport_type = standard\nreport_summary = True\nreport_stations = False\nreport_filename = PROVIDENTIA_Report\nreport_title = Report\nobservations_data_label = Ozone Mass Concentration\ndl_thredds_update = False\n</pre>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=3b29103a\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Download-data\">Download data<a class=\"anchor-link\" href=\"#Download-data\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=eb100b31-f42c-467d-bf27-e944c0224ff0\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>Now we format and download the data from NILU Thredds server (<code>https://thredds.nilu.no/thredds/catalog/ebas_doi/catalog.html</code>) into the path defined in <code>settings/data_paths.json</code> for local machines.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=2f521956-84a1-4926-b59b-66f9d84d8adb\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[6]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">download</span><span class=\"p\">()</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Starting Providentia download...\n\nStarting ACTRIS section download...\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>\nThere are some files that were already downloaded in a previous download, do you want to overwrite them ([y]/n)?  \n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>\n----------------------------------------\n\nDownloading ACTRIS framework data from EBAS DOI...\n\n  - /home/avilanov/data/providentia/obs/nonghost/actris/actris/hourly/sconco3, source: https://prod-actris-md2.nilu.no/metadata/content/ozone mass concentration\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"application/vnd.jupyter.stderr\" tabindex=\"0\">\n<pre>    Processing station data: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 94/94</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>    === ERRORS (7) ===\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/BK/7Q/E7/BK7Q-E7TT.nc (US1200R): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/CP/HG/6U/CPHG-6UUG.nc (US6001R): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/DP/4J/XX/DP4J-XXFY.nc (DK0025G): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/K7/H9/6Y/K7H9-6YVZ.nc (US6005G): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/P3/NZ/JR/P3NZ-JR85.nc (US6004G): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/PY/M7/CH/PYM7-CHMW.nc (GR0002R): Opening file: NetCDF: Access failure.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/R5/T2/BQ/R5T2-BQ47.nc (NZ0003G): Opening file: NetCDF: Access failure.\n    === WARNINGS (7) ===\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/CA/9B/FE/CA9B-FEA3.nc (NZ0002R): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/9V/SD/42/9VSD-426S.nc (IT0009R): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/K2/9Z/6P/K29Z-6PPE.nc (GB0059G): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/MU/SD/B7/MUSD-B7H4.nc (MT0001R): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/MY/4E/5Z/MY4E-5ZG4.nc (NZ0001R): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/Q4/C6/9K/Q4C6-9KT9.nc (BO0001R): No data available after filtering by time.\n    https://thredds.nilu.no/thredds/dodsC/ebas_doi/ZG/PT/VV/ZGPT-VV3Q.nc (IE0001R): No data available after filtering by time.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"application/vnd.jupyter.stderr\" tabindex=\"0\">\n<pre>\n    Downloading files (12): 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588|12/12\n</pre>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=de887afe\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Read-data\">Read data<a class=\"anchor-link\" href=\"#Read-data\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=252fdc80-87c3-4c50-aa84-6fea8ad1d42e\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>It is time to explore the data, for this we need to first load it in memory.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=33b16290-c490-46ab-8882-2a02578af3c6\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[7]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">load</span><span class=\"p\">()</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>\nUpdating file tree /home/avilanov/software/providentia/settings/internal/ghost_filetree_1.5.json...\nUpdating file tree /home/avilanov/software/providentia/settings/internal/nonghost_filetree.json...\nReading data\n\nOBSERVATIONS\n - actris/actris|sconco3\nResetting data filters to when class was initialised, loading ACTRIS subsection filters.\nFiltering data\n</pre>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=fb0c6bb5-5e18-4709-861c-34e3251f0513\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[8]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">data</span> <span class=\"o\">=</span> <span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">data</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'xr'</span><span class=\"p\">)</span>\n<span class=\"n\">data</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[8]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 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1.6;\n}\n\n.xr-text-repr-fallback {\n  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n  display: none;\n}\n\n.xr-header {\n  padding-top: 6px;\n  padding-bottom: 6px;\n  margin-bottom: 4px;\n  border-bottom: solid 1px var(--xr-border-color);\n}\n\n.xr-header > div,\n.xr-header > ul {\n  display: inline;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.xr-obj-type,\n.xr-obj-name,\n.xr-group-name {\n  margin-left: 2px;\n  margin-right: 10px;\n}\n\n.xr-group-name::before {\n  content: \"\ud83d\udcc1\";\n  padding-right: 0.3em;\n}\n\n.xr-group-name,\n.xr-obj-type {\n  color: var(--xr-font-color2);\n}\n\n.xr-sections {\n  padding-left: 0 !important;\n  display: grid;\n  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n  margin-block-start: 0;\n  margin-block-end: 0;\n}\n\n.xr-section-item {\n  display: contents;\n}\n\n.xr-section-item input {\n  display: inline-block;\n  opacity: 0;\n  height: 0;\n  margin: 0;\n}\n\n.xr-section-item input + label {\n 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> span {\n  display: none;\n}\n\n.xr-section-summary,\n.xr-section-inline-details {\n  padding-top: 4px;\n}\n\n.xr-section-inline-details {\n  grid-column: 2 / -1;\n}\n\n.xr-section-details {\n  display: none;\n  grid-column: 1 / -1;\n  margin-top: 4px;\n  margin-bottom: 5px;\n}\n\n.xr-section-summary-in:checked ~ .xr-section-details {\n  display: contents;\n}\n\n.xr-group-box {\n  display: inline-grid;\n  grid-template-columns: 0px 20px auto;\n  width: 100%;\n}\n\n.xr-group-box-vline {\n  grid-column-start: 1;\n  border-right: 0.2em solid;\n  border-color: var(--xr-border-color);\n  width: 0px;\n}\n\n.xr-group-box-hline {\n  grid-column-start: 2;\n  grid-row-start: 1;\n  height: 1em;\n  width: 20px;\n  border-bottom: 0.2em solid;\n  border-color: var(--xr-border-color);\n}\n\n.xr-group-box-contents {\n  grid-column-start: 3;\n}\n\n.xr-array-wrap {\n  grid-column: 1 / -1;\n  display: grid;\n  grid-template-columns: 20px auto;\n}\n\n.xr-array-wrap > label {\n  grid-column: 1;\n  vertical-align: top;\n}\n\n.xr-preview {\n  color: var(--xr-font-color3);\n}\n\n.xr-array-preview,\n.xr-array-data {\n  padding: 0 5px !important;\n  grid-column: 2;\n}\n\n.xr-array-data,\n.xr-array-in:checked ~ .xr-array-preview {\n  display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.Dataset&gt; Size: 5MB\nDimensions:                                                       (\n                                                                   data_label: 1,\n                                                                   station_actris_actris|sconco3: 80,\n                                                                   time: 8784,\n                                                                   month: 12)\nCoordinates:\n  * time                                                          (time) datetime64[ns] 70kB ...\nDimensions without coordinates: data_label, station_actris_actris|sconco3, month\nData variables: (12/29)\n    data_labels                                                   (data_label) &lt;U24 96B ...\n    actris_actris|sconco3_data                                    (data_label, station_actris_actris|sconco3, time) float32 3MB ...\n    actris_actris|sconco3_station_reference                       (station_actris_actris|sconco3, month) &lt;U7 27kB ...\n    actris_actris|sconco3_longitude                               (station_actris_actris|sconco3, month) float64 8kB ...\n    actris_actris|sconco3_latitude                                (station_actris_actris|sconco3, month) float64 8kB ...\n    actris_actris|sconco3_station_name                            (station_actris_actris|sconco3, month) &lt;U34 131kB ...\n    ...                                                            ...\n    actris_actris|sconco3_contact_name                            (station_actris_actris|sconco3, month) &lt;U75 288kB ...\n    actris_actris|sconco3_contact_institution                     (station_actris_actris|sconco3, month) &lt;U4 15kB ...\n    actris_actris|sconco3_contact_email_address                   (station_actris_actris|sconco3, month) &lt;U12 46kB ...\n    actris_actris|sconco3_data_licence                            (station_actris_actris|sconco3, month) &lt;U3 12kB ...\n    actris_actris|sconco3_doi                                     (station_actris_actris|sconco3, month) &lt;U4 15kB ...\n    actris_actris|sconco3_actris_national_facility                (station_actris_actris|sconco3, month) &lt;U5 19kB ...\nAttributes:\n    title:        Saved data from Providentia\n    institution:  Barcelona Supercomputing Center\n    source:       Providentia</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.Dataset</div></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" disabled=\"\" id=\"section-12925199-3364-45bf-8c87-35330feb70c6\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-12925199-3364-45bf-8c87-35330feb70c6\" title=\"Expand/collapse section\">Dimensions:</label><div class=\"xr-section-inline-details\"><ul class=\"xr-dim-list\"><li><span>data_label</span>: 1</li><li><span>station_actris_actris|sconco3</span>: 80</li><li><span class=\"xr-has-index\">time</span>: 8784</li><li><span>month</span>: 12</li></ul></div><div class=\"xr-section-details\"></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-905a194e-60fb-4066-b8c1-092f967941d7\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-905a194e-60fb-4066-b8c1-092f967941d7\">Coordinates: <span>(1)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span class=\"xr-has-index\">time</span></div><div class=\"xr-var-dims\">(time)</div><div class=\"xr-var-dtype\">datetime64[ns]</div><div class=\"xr-var-preview xr-preview\">2024-01-01 ... 2024-12-31T23:00:00</div><input class=\"xr-var-attrs-in\" id=\"attrs-4465a610-0c82-4729-a3bc-4955d9b1fabd\" type=\"checkbox\"/><label for=\"attrs-4465a610-0c82-4729-a3bc-4955d9b1fabd\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1738b8d6-1549-4d36-aa68-237e2c2eccc1\" type=\"checkbox\"/><label for=\"data-1738b8d6-1549-4d36-aa68-237e2c2eccc1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Time in hours since 2024-01-01 00:00 UTC. Time given refers to the start of the time window the measurement is representative of (temporal resolution).</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>tz :</span></dt><dd>UTC</dd></dl></div><div class=\"xr-var-data\"><pre>array(['2024-01-01T00:00:00.000000000', '2024-01-01T01:00:00.000000000',\n       '2024-01-01T02:00:00.000000000', ..., '2024-12-31T21:00:00.000000000',\n       '2024-12-31T22:00:00.000000000', '2024-12-31T23:00:00.000000000'],\n      shape=(8784,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" id=\"section-d40b16d4-102f-44d6-ab7b-1f0ab90f1691\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-d40b16d4-102f-44d6-ab7b-1f0ab90f1691\">Data variables: <span>(29)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>data_labels</span></div><div class=\"xr-var-dims\">(data_label)</div><div class=\"xr-var-dtype\">&lt;U24</div><div class=\"xr-var-preview xr-preview\">'Ozone Mass Concentration'</div><input class=\"xr-var-attrs-in\" id=\"attrs-49b3a87a-48fd-4aef-a148-06428ae84090\" type=\"checkbox\"/><label for=\"attrs-49b3a87a-48fd-4aef-a148-06428ae84090\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-97676952-a522-4b3f-ac3f-9804072541f6\" type=\"checkbox\"/><label for=\"data-97676952-a522-4b3f-ac3f-9804072541f6\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data_labels</dd><dt><span>long_name :</span></dt><dd>data_labels</dd><dt><span>description :</span></dt><dd>Labels associated with each data array, e.g. observations, model_1, etc.</dd></dl></div><div class=\"xr-var-data\"><pre>array(['Ozone Mass Concentration'], dtype='&lt;U24')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data</span></div><div class=\"xr-var-dims\">(data_label, station_actris_actris|sconco3, time)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">27.26 24.8 21.65 ... nan nan nan</div><input class=\"xr-var-attrs-in\" id=\"attrs-623b91d2-314d-48dc-a419-363bcb994fb2\" type=\"checkbox\"/><label for=\"attrs-623b91d2-314d-48dc-a419-363bcb994fb2\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-120e6ee5-abac-4b52-9cc9-f691ebad90c6\" type=\"checkbox\"/><label for=\"data-120e6ee5-abac-4b52-9cc9-f691ebad90c6\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ozone</dd><dt><span>long_name :</span></dt><dd>ozone</dd><dt><span>units :</span></dt><dd>nmol mol-1</dd><dt><span>description :</span></dt><dd>Measured value of surface ozone for the stated temporal resolution.</dd><dt><span>resolution :</span></dt><dd>hourly</dd><dt><span>resampling_resolution :</span></dt><dd>None</dd><dt><span>start_date :</span></dt><dd>20240101</dd><dt><span>end_date :</span></dt><dd>20250101</dd><dt><span>temporal_colocation :</span></dt><dd>True</dd><dt><span>spatial_colocation :</span></dt><dd>True</dd><dt><span>filter_species :</span></dt><dd>{}</dd><dt><span>forecast :</span></dt><dd>[]</dd><dt><span>calibration_factor :</span></dt><dd>{}</dd><dt><span>remove_extreme_stations :</span></dt><dd>None</dd><dt><span>statistic_mode :</span></dt><dd>Temporal|Spatial</dd><dt><span>statistic_aggregation :</span></dt><dd>Median</dd><dt><span>periodic_statistic_mode :</span></dt><dd>Independent</dd><dt><span>periodic_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>timeseries_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>spatial_colocation_tolerance :</span></dt><dd>19.053</dd><dt><span>spatial_colocation_station_reference :</span></dt><dd>True</dd><dt><span>spatial_colocation_station_name :</span></dt><dd>True</dd><dt><span>spatial_colocation_longitude_latitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_measurement_altitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation_tolerance :</span></dt><dd>10000.0</dd></dl></div><div class=\"xr-var-data\"><pre>array([[[27.256, 24.802, 21.649, ..., 25.161, 25.081, 23.784],\n        [   nan,    nan,    nan, ..., 30.8  , 28.2  , 27.5  ],\n        [53.4  , 56.3  , 55.4  , ..., 66.9  , 66.2  , 67.9  ],\n        ...,\n        [63.552, 72.551, 60.04 , ..., 70.396, 69.677, 69.318],\n        [42.281, 41.004, 45.055, ...,    nan,    nan,    nan],\n        [37.31 , 38.51 , 39.31 , ...,    nan,    nan,    nan]]],\n      shape=(1, 80, 8784), dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_reference</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U7</div><div class=\"xr-var-preview xr-preview\">'AR0002G' 'AR0002G' ... 'ZA0001G'</div><input class=\"xr-var-attrs-in\" id=\"attrs-92868bde-9f98-4103-80fe-2304e53ef4eb\" type=\"checkbox\"/><label for=\"attrs-92868bde-9f98-4103-80fe-2304e53ef4eb\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-52507301-1009-464f-a415-0bbc10196372\" type=\"checkbox\"/><label for=\"data-52507301-1009-464f-a415-0bbc10196372\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G',\n        'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G'],\n       ['AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R',\n        'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R'],\n       ['AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R',\n        'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R'],\n       ['AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R',\n        'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R'],\n       ['AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R',\n        'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R'],\n       ['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R',\n        'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R'],\n       ['AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R',\n        'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R'],\n       ['AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R',\n        'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R'],\n       ['AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R',\n        'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R'],\n...\n        'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R'],\n       ['SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R',\n        'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R'],\n       ['SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R',\n        'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R'],\n       ['SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R',\n        'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R'],\n       ['SK0007R', 'SK0007R', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R'],\n       ['US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R',\n        'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R'],\n       ['US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R',\n        'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R'],\n       ['VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R',\n        'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R'],\n       ['ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G',\n        'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G']],\n      dtype='&lt;U7')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_longitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">-68.31 -68.31 ... 18.49 18.49</div><input class=\"xr-var-attrs-in\" id=\"attrs-cf3e67db-8f1f-4ee3-ae81-dc26339f746f\" type=\"checkbox\"/><label for=\"attrs-cf3e67db-8f1f-4ee3-ae81-dc26339f746f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-fcbcff82-095f-42bd-b5b2-8a9141f95fbe\" type=\"checkbox\"/><label for=\"data-fcbcff82-095f-42bd-b5b2-8a9141f95fbe\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>decimal degrees East</dd><dt><span>description :</span></dt><dd>Geodetic longitude of measuring instrument, in decimal degrees East, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183],\n       [  16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ],\n       [  12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ],\n       [  15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ],\n       [   9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ],\n       [  12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ],\n       [  15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n          15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n...\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ,\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ],\n       [  22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ],\n       [  17.860556  ,   17.860556  ,           nan,           nan,\n                  nan,           nan,           nan,   17.860556  ,\n          17.860556  ,   17.860556  ,   17.860556  ,   17.860556  ],\n       [-156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ],\n       [-105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ],\n       [ 103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ],\n       [  18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_latitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">-54.85 -54.85 ... -34.35 -34.35</div><input class=\"xr-var-attrs-in\" id=\"attrs-6400cf31-7e12-43cd-81a7-dd689aa52979\" type=\"checkbox\"/><label for=\"attrs-6400cf31-7e12-43cd-81a7-dd689aa52979\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ad03d4c9-9112-4af8-b9ba-18d1f1fc0974\" type=\"checkbox\"/><label for=\"data-ad03d4c9-9112-4af8-b9ba-18d1f1fc0974\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>decimal degrees North</dd><dt><span>description :</span></dt><dd>Geodetic latitude of measuring instrument, in decimal degrees North, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class=\"xr-var-data\"><pre>array([[-54.84846497, -54.84846497, -54.84846497, -54.84846497,\n        -54.84846497, -54.84846497, -54.84846497, -54.84846497,\n        -54.84846497, -54.84846497, -54.84846497, -54.84846497],\n       [ 47.76666   ,  47.76666   ,  47.76666   ,  47.76666   ,\n         47.76666   ,  47.76666   ,  47.76666   ,  47.76666   ,\n         47.76666   ,  47.76666   ,  47.76666   ,  47.76666   ],\n       [ 46.677778  ,  46.677778  ,  46.677778  ,  46.677778  ,\n         46.677778  ,  46.677778  ,  46.677778  ,  46.677778  ,\n         46.677778  ,  46.677778  ,  46.677778  ,  46.677778  ],\n       [ 48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ,\n         48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ,\n         48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ],\n       [ 47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ,\n         47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ,\n         47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ],\n       [ 47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ,\n         47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ,\n         47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ],\n       [ 47.348056  ,  47.348056  ,  47.348056  ,  47.348056  ,\n         47.348056  ,  47.348056  ,  47.348056  ,  47.348056  ,\n...\n         48.933333  ,  48.933333  ,  48.933333  ,  48.933333  ,\n         48.933333  ,  48.933333  ,  48.933333  ,  48.933333  ],\n       [ 49.05      ,  49.05      ,  49.05      ,  49.05      ,\n         49.05      ,  49.05      ,  49.05      ,  49.05      ,\n         49.05      ,  49.05      ,  49.05      ,  49.05      ],\n       [ 47.96      ,  47.96      ,          nan,          nan,\n                 nan,          nan,          nan,  47.96      ,\n         47.96      ,  47.96      ,  47.96      ,  47.96      ],\n       [ 71.32301331,  71.32301331,  71.32301331,  71.32301331,\n         71.32301331,  71.32301331,  71.32301331,  71.32301331,\n         71.32301331,  71.32301331,  71.32301331,  71.32301331],\n       [ 40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ,\n         40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ,\n         40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ],\n       [ 21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ,\n         21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ,\n         21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ],\n       [-34.35348   , -34.35348   , -34.35348   , -34.35348   ,\n        -34.35348   , -34.35348   , -34.35348   , -34.35348   ,\n        -34.35348   , -34.35348   , -34.35348   , -34.35348   ]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U34</div><div class=\"xr-var-preview xr-preview\">'Ushuaia' ... 'Cape Point'</div><input class=\"xr-var-attrs-in\" id=\"attrs-e57de01c-b6ec-4fba-a88d-f207dc10f354\" type=\"checkbox\"/><label for=\"attrs-e57de01c-b6ec-4fba-a88d-f207dc10f354\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-bc5e4086-2628-4d5f-9dec-2533e08a997d\" type=\"checkbox\"/><label for=\"data-bc5e4086-2628-4d5f-9dec-2533e08a997d\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station name</dd><dt><span>long_name :</span></dt><dd>station name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of station where the measurement was conducted.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia',\n        'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia'],\n       ['Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz',\n        'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz'],\n       ['Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg',\n        'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg'],\n       ['Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz'],\n       ['Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg'],\n       ['Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick'],\n       ['Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n        'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n...\n       ['Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok',\n        'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok'],\n       ['Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina',\n        'Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina'],\n       ['Topolniky', 'Topolniky', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky'],\n       ['Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow',\n        'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow'],\n       ['Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain'],\n       ['Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din',\n        'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din'],\n       ['Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point']],\n      dtype='&lt;U34')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">25.0 25.0 25.0 ... 234.0 234.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-e00920f8-456c-4cf7-a8ef-8867d0bf6b2b\" type=\"checkbox\"/><label for=\"attrs-e00920f8-456c-4cf7-a8ef-8867d0bf6b2b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f8a57bca-c489-4d34-88aa-2723af547b4b\" type=\"checkbox\"/><label for=\"data-f8a57bca-c489-4d34-88aa-2723af547b4b\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement altitude</dd><dt><span>long_name :</span></dt><dd>measurement altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the inlet/instrument/sampler, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[2.5000e+01, 2.5000e+01, 2.5000e+01, 2.5000e+01, 2.5000e+01,\n        2.5000e+01, 2.5000e+01, 2.5000e+01, 2.5000e+01, 2.5000e+01,\n        2.5000e+01, 2.5000e+01],\n       [1.1700e+02, 1.1700e+02, 1.1700e+02, 1.1700e+02, 1.1700e+02,\n        1.1700e+02, 1.1700e+02, 1.1700e+02, 1.1700e+02, 1.1700e+02,\n        1.1700e+02, 1.1700e+02],\n       [1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03,\n        1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03,\n        1.0200e+03, 1.0200e+03],\n       [3.1500e+02, 3.1500e+02, 3.1500e+02, 3.1500e+02, 3.1500e+02,\n        3.1500e+02, 3.1500e+02, 3.1500e+02, 3.1500e+02, 3.1500e+02,\n        3.1500e+02, 3.1500e+02],\n       [1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03,\n        1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03, 1.0200e+03,\n        1.0200e+03, 1.0200e+03],\n       [3.1160e+03, 3.1160e+03, 3.1160e+03, 3.1160e+03, 3.1160e+03,\n        3.1160e+03, 3.1160e+03, 3.1160e+03, 3.1160e+03, 3.1160e+03,\n        3.1160e+03, 3.1160e+03],\n       [1.1700e+03, 1.1700e+03, 1.1700e+03, 1.1700e+03, 1.1700e+03,\n        1.1700e+03, 1.1700e+03, 1.1700e+03, 1.1700e+03, 1.1700e+03,\n...\n        2.0080e+03, 2.0080e+03, 2.0080e+03, 2.0080e+03, 2.0080e+03,\n        2.0080e+03, 2.0080e+03],\n       [3.4500e+02, 3.4500e+02, 3.4500e+02, 3.4500e+02, 3.4500e+02,\n        3.4500e+02, 3.4500e+02, 3.4500e+02, 3.4500e+02, 3.4500e+02,\n        3.4500e+02, 3.4500e+02],\n       [1.1300e+02, 1.1300e+02,        nan,        nan,        nan,\n               nan,        nan, 1.1300e+02, 1.1300e+02, 1.1300e+02,\n        1.1300e+02, 1.1300e+02],\n       [1.5000e+01, 1.5000e+01, 1.5000e+01, 1.5000e+01, 1.5000e+01,\n        1.5000e+01, 1.5000e+01, 1.5000e+01, 1.5000e+01, 1.5000e+01,\n        1.5000e+01, 1.5000e+01],\n       [1.6990e+03, 1.6990e+03, 1.6990e+03, 1.6990e+03, 1.6990e+03,\n        1.6990e+03, 1.6990e+03, 1.6990e+03, 1.6990e+03, 1.6990e+03,\n        1.6990e+03, 1.6990e+03],\n       [1.4780e+03, 1.4780e+03, 1.4780e+03, 1.4780e+03, 1.4780e+03,\n        1.4780e+03, 1.4780e+03, 1.4780e+03, 1.4780e+03, 1.4780e+03,\n        1.4780e+03, 1.4780e+03],\n       [2.3400e+02, 2.3400e+02, 2.3400e+02, 2.3400e+02, 2.3400e+02,\n        2.3400e+02, 2.3400e+02, 2.3400e+02, 2.3400e+02, 2.3400e+02,\n        2.3400e+02, 2.3400e+02]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_timezone</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'UTC' 'UTC' 'UTC' ... 'UTC' 'UTC'</div><input class=\"xr-var-attrs-in\" id=\"attrs-5df1cdeb-3820-4bf1-80f1-34d71bdb8287\" type=\"checkbox\"/><label for=\"attrs-5df1cdeb-3820-4bf1-80f1-34d71bdb8287\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-70c36cbf-f6e9-434c-8538-129770e519a1\" type=\"checkbox\"/><label for=\"data-70c36cbf-f6e9-434c-8538-129770e519a1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station timezone</dd><dt><span>long_name :</span></dt><dd>station timezone</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the local timezone that the measuring station is located in. This is automatically generated using Timezone Finder Python package (taking longitude and latitude as inputs).</dd></dl></div><div class=\"xr-var-data\"><pre>array([['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n...\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'nan', 'nan', 'nan', 'nan', 'nan', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">18.0 18.0 18.0 ... 230.0 230.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-c1f93790-1e9a-4edf-a6ce-1d281314c4dc\" type=\"checkbox\"/><label for=\"attrs-c1f93790-1e9a-4edf-a6ce-1d281314c4dc\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f7fa893f-adee-4023-8fd5-ed6c60e5b627\" type=\"checkbox\"/><label for=\"data-f7fa893f-adee-4023-8fd5-ed6c60e5b627\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the ground level at the station, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01,\n        1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01, 1.800e+01],\n       [1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02,\n        1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02, 1.170e+02],\n       [1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03,\n        1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03],\n       [3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02,\n        3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02, 3.150e+02],\n       [1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03,\n        1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03, 1.020e+03],\n       [3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03,\n        3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03, 3.106e+03],\n       [1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03,\n        1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03, 1.170e+03],\n       [7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02,\n        7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02, 7.300e+02],\n       [5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02,\n        5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02, 5.700e+02],\n       [5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02,\n        5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02, 5.810e+02],\n...\n        5.200e+02, 5.200e+02, 5.200e+02, 5.200e+02, 5.200e+02, 5.200e+02],\n       [7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02,\n        7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02, 7.700e+02],\n       [1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03,\n        1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03, 1.740e+03],\n       [2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03,\n        2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03, 2.008e+03],\n       [3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02,\n        3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02, 3.450e+02],\n       [1.130e+02, 1.130e+02,       nan,       nan,       nan,       nan,\n              nan, 1.130e+02, 1.130e+02, 1.130e+02, 1.130e+02, 1.130e+02],\n       [1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01,\n        1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01, 1.100e+01],\n       [1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03,\n        1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03, 1.689e+03],\n       [1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03,\n        1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03, 1.466e+03],\n       [2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02,\n        2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02, 2.300e+02]],\n      dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_sampling_height</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">7.0 7.0 7.0 7.0 ... 4.0 4.0 4.0 4.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-c62d2c93-6f0f-4123-a9dd-b2ac0cf48e25\" type=\"checkbox\"/><label for=\"attrs-c62d2c93-6f0f-4123-a9dd-b2ac0cf48e25\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-44bc2cb0-e32c-47a8-81c0-7ccdd61f35a0\" type=\"checkbox\"/><label for=\"data-44bc2cb0-e32c-47a8-81c0-7ccdd61f35a0\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>sampling height</dd><dt><span>long_name :</span></dt><dd>sampling height relative to ground</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Height above the ground of the inlet/instrument/sampler, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 7. ,  7. ,  7. ,  7. ,  7. ,  7. ,  7. ,  7. ,  7. ,  7. ,  7. ,\n         7. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. ,\n        10. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n...\n       [ 3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,\n         3. ],\n       [ 3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,  3. ,\n         3. ],\n       [ 5. ,  5. ,  5. ,  5. ,  5. ,  5. ,  5. ,  5. ,  5. ,  5. ,  5. ,\n         5. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 0. ,  0. ,  nan,  nan,  nan,  nan,  nan,  0. ,  0. ,  0. ,  0. ,\n         0. ],\n       [ 4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,\n         4. ],\n       [10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. , 10. ,\n        10. ],\n       [12. , 12. , 12. , 12. , 12. , 12. , 12. , 12. , 12. , 12. , 12. ,\n        12. ],\n       [ 4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,  4. ,\n         4. ]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_level</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'2' '2' '2' '2' ... '2' '2' '2' '2'</div><input class=\"xr-var-attrs-in\" id=\"attrs-24cfee08-7e08-477a-944a-ff0255fdf103\" type=\"checkbox\"/><label for=\"attrs-24cfee08-7e08-477a-944a-ff0255fdf103\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-0f2d8db7-9564-4720-9270-f92abed629a0\" type=\"checkbox\"/><label for=\"data-0f2d8db7-9564-4720-9270-f92abed629a0\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data level</dd><dt><span>long_name :</span></dt><dd>data level</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Data level of data reported. This varies per network. If data level is variable per measurement, and not static per reported file, then this is set as \"variable\". If there is no reported data level this is set as \"none\"</dd></dl></div><div class=\"xr-var-data\"><pre>array([['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', 'nan', '2', '2'],\n...\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', 'nan', 'nan', 'nan', 'nan', 'nan', '2', '2', '2', '2',\n        '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2']],\n      dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_country</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U18</div><div class=\"xr-var-preview xr-preview\">'Argentina' ... 'South Africa'</div><input class=\"xr-var-attrs-in\" id=\"attrs-7dca759c-ad4b-4d2e-b8e3-3c06613b6600\" type=\"checkbox\"/><label for=\"attrs-7dca759c-ad4b-4d2e-b8e3-3c06613b6600\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-e54bcddd-6ace-4a68-9ca0-d6c690962a0e\" type=\"checkbox\"/><label for=\"data-e54bcddd-6ace-4a68-9ca0-d6c690962a0e\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>country</dd><dt><span>long_name :</span></dt><dd>country</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the country the station is located in.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Argentina', 'Argentina', 'Argentina', 'Argentina', 'Argentina',\n        'Argentina', 'Argentina', 'Argentina', 'Argentina', 'Argentina',\n        'Argentina', 'Argentina'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n...\n       ['Slovakia', 'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia',\n        'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia',\n        'Slovakia', 'Slovakia'],\n       ['Slovakia', 'Slovakia', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia'],\n       ['United States', 'United States', 'United States',\n        'United States', 'United States', 'United States',\n        'United States', 'United States', 'United States',\n        'United States', 'United States', 'United States'],\n       ['United States', 'United States', 'United States',\n        'United States', 'United States', 'United States',\n        'United States', 'United States', 'United States',\n        'United States', 'United States', 'United States'],\n       ['Viet Nam', 'Viet Nam', 'Viet Nam', 'Viet Nam', 'Viet Nam',\n        'Viet Nam', 'Viet Nam', 'Viet Nam', 'Viet Nam', 'Viet Nam',\n        'Viet Nam', 'Viet Nam'],\n       ['South Africa', 'South Africa', 'South Africa', 'South Africa',\n        'South Africa', 'South Africa', 'South Africa', 'South Africa',\n        'South Africa', 'South Africa', 'South Africa', 'South Africa']],\n      dtype='&lt;U18')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_network</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-6ee083b1-bfe0-41e6-95d3-c8712eb5418c\" type=\"checkbox\"/><label for=\"attrs-6ee083b1-bfe0-41e6-95d3-c8712eb5418c\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-5a1bd1cd-6c65-417b-a86d-9bcbee3c7c6c\" type=\"checkbox\"/><label for=\"data-5a1bd1cd-6c65-417b-a86d-9bcbee3c7c6c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>network</dd><dt><span>long_name :</span></dt><dd>data network</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>The name of the network which reports data for the specific station in question.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n...\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_associated_networks</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U37</div><div class=\"xr-var-preview xr-preview\">\"['GAW-WDCRG']\" ... \"['GAW-WDCRG']\"</div><input class=\"xr-var-attrs-in\" id=\"attrs-c45c0cf0-4a9c-4c8d-8e73-00bbd571ae13\" type=\"checkbox\"/><label for=\"attrs-c45c0cf0-4a9c-4c8d-8e73-00bbd571ae13\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-aa64e45d-d52a-41f3-9549-a79dffac91b1\" type=\"checkbox\"/><label for=\"data-aa64e45d-d52a-41f3-9549-a79dffac91b1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>other associated networks</dd><dt><span>long_name :</span></dt><dd>other associated networks</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>String pair of associated network name and station reference. Format: network1:station_reference1;network2:station_reference2</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n...\n       [\"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\"],\n       [\"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\",\n        \"['GAW-WDCRG', 'NOAA-ESRL']\", \"['GAW-WDCRG', 'NOAA-ESRL']\"],\n       [\"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\"],\n       [\"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\"]], dtype='&lt;U37')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_land_use</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U16</div><div class=\"xr-var-preview xr-preview\">'Airport' 'Airport' ... 'Grassland'</div><input class=\"xr-var-attrs-in\" id=\"attrs-001c7010-281b-44f9-824c-41c750640f07\" type=\"checkbox\"/><label for=\"attrs-001c7010-281b-44f9-824c-41c750640f07\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-61c637a7-d73b-4e1e-9ac4-55be145667ab\" type=\"checkbox\"/><label for=\"data-61c637a7-d73b-4e1e-9ac4-55be145667ab\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>land use</dd><dt><span>long_name :</span></dt><dd>standardised network provided land use type</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised network provided classification, describing the dominant land use in the area of the reporting station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Airport', 'Airport', 'Airport', 'Airport', 'Airport', 'Airport',\n        'Airport', 'Airport', 'Airport', 'Airport', 'Airport', 'Airport'],\n       ['Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n...\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Wetland', 'Wetland', 'Wetland', 'Wetland', 'Wetland', 'Wetland',\n        'Wetland', 'Wetland', 'Wetland', 'Wetland', 'Wetland', 'Wetland'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest',\n        'Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest'],\n       ['Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland']], dtype='&lt;U16')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_WMO_region</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U25</div><div class=\"xr-var-preview xr-preview\">'South America' ... 'Africa'</div><input class=\"xr-var-attrs-in\" id=\"attrs-b1fb1e1e-c3df-4da8-a0b3-0844083cd38b\" type=\"checkbox\"/><label for=\"attrs-b1fb1e1e-c3df-4da8-a0b3-0844083cd38b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b1c413be-fdb9-4f9c-880e-e7a8d86f5b46\" type=\"checkbox\"/><label for=\"data-b1c413be-fdb9-4f9c-880e-e7a8d86f5b46\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>WMO region</dd><dt><span>long_name :</span></dt><dd>WMO region code</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>World Meteorological Organization (WMO) region of station. The available regions are: Africa, Asia, South America, \"Northern America, Central America and the Caribbean\", South-West Pacific, Europe and Antarctica.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['South America', 'South America', 'South America',\n        'South America', 'South America', 'South America',\n        'South America', 'South America', 'South America',\n        'South America', 'South America', 'South America'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n...\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'nan', 'nan', 'nan', 'nan', 'nan', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe'],\n       ['North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America'],\n       ['North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America',\n        'North and Central America', 'North and Central America'],\n       ['Asia', 'Asia', 'Asia', 'Asia', 'Asia', 'Asia', 'Asia', 'Asia',\n        'Asia', 'Asia', 'Asia', 'Asia'],\n       ['Africa', 'Africa', 'Africa', 'Africa', 'Africa', 'Africa',\n        'Africa', 'Africa', 'Africa', 'Africa', 'Africa', 'Africa']],\n      dtype='&lt;U25')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_methodology</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U33</div><div class=\"xr-var-preview xr-preview\">'AR01L_uv_abs' ... 'ZA02L_primar...</div><input class=\"xr-var-attrs-in\" id=\"attrs-97b5328d-068d-4ffd-8b5c-e253f8734977\" type=\"checkbox\"/><label for=\"attrs-97b5328d-068d-4ffd-8b5c-e253f8734977\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-182efcae-3060-4897-9b67-47c4eb4ae8c5\" type=\"checkbox\"/><label for=\"data-182efcae-3060-4897-9b67-47c4eb4ae8c5\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement methodology</dd><dt><span>long_name :</span></dt><dd>standardised measurement methodology</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measurement methodology.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs',\n        'AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs',\n        'AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs', 'AR01L_uv_abs'],\n       ['AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a'],\n       ['AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a'],\n       ['AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a'],\n       ['AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a',\n        'AT03L_ozone1a', 'AT03L_ozone1a', 'AT03L_ozone1a'],\n       ['AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab',\n...\n        'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs'],\n       ['SK01L_uv_abs', 'SK01L_uv_abs', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs',\n        'SK01L_uv_abs', 'SK01L_uv_abs'],\n       ['US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM',\n        'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM',\n        'US06L_AM', 'US06L_AM'],\n       ['US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM',\n        'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM', 'US06L_AM',\n        'US06L_AM', 'US06L_AM'],\n       ['VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs',\n        'VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs',\n        'VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs', 'VN02L_uv_abs'],\n       ['ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS',\n        'ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS',\n        'ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS',\n        'ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS',\n        'ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS',\n        'ZA02L_primary_standard_49i_PS', 'ZA02L_primary_standard_49i_PS']],\n      dtype='&lt;U33')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U17</div><div class=\"xr-var-preview xr-preview\">'Thermo/49C' ... 'Thermo/49i'</div><input class=\"xr-var-attrs-in\" id=\"attrs-6e50ffcc-582e-4e87-9003-fd3cc44f0d14\" type=\"checkbox\"/><label for=\"attrs-6e50ffcc-582e-4e87-9003-fd3cc44f0d14\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-000515f1-0c55-47a6-b42e-0b38ce9f33af\" type=\"checkbox\"/><label for=\"data-000515f1-0c55-47a6-b42e-0b38ce9f33af\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument name</dd><dt><span>long_name :</span></dt><dd>standardised measuring instrument name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Thermo/49C', 'Thermo/49C', 'Thermo/49C', 'Thermo/49C',\n        'Thermo/49C', 'Thermo/49C', 'Thermo/49C', 'Thermo/49C',\n        'Thermo/49C', 'Thermo/49C', 'Thermo/49C', 'Thermo/49C'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n...\n       ['Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400'],\n       ['Teledyne/T400', 'Teledyne/T400', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400'],\n       ['Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ',\n        'Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ',\n        'Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ', 'Thermo/49iQ'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i']],\n      dtype='&lt;U17')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_sampling_type</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U38</div><div class=\"xr-var-preview xr-preview\">\"['ultra-violet fluorescence det...</div><input class=\"xr-var-attrs-in\" id=\"attrs-a1bdb7d4-1ba9-4fed-a08c-5e236c2da6c7\" type=\"checkbox\"/><label for=\"attrs-a1bdb7d4-1ba9-4fed-a08c-5e236c2da6c7\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f6918241-4b04-4fab-874a-a2a254e92054\" type=\"checkbox\"/><label for=\"data-f6918241-4b04-4fab-874a-a2a254e92054\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument sampling type</dd><dt><span>long_name :</span></dt><dd>standardised sampling type of the measuring instrument</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument sampling type.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n...\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"]], dtype='&lt;U38')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_inlet_information</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-a088e2bc-808b-44a9-a69b-47bf0b57a343\" type=\"checkbox\"/><label for=\"attrs-a088e2bc-808b-44a9-a69b-47bf0b57a343\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-bd756e0a-7efb-46ca-bbc4-a2186cf8b7b5\" type=\"checkbox\"/><label for=\"data-bd756e0a-7efb-46ca-bbc4-a2186cf8b7b5\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument inlet information</dd><dt><span>long_name :</span></dt><dd>measuring instrument measurement inlet information</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Description of sampling inlet of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n...\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U75</div><div class=\"xr-var-preview xr-preview\">'Manuel Cupeiro, Gerardo Carbaja...</div><input class=\"xr-var-attrs-in\" id=\"attrs-2c57dcec-0589-44ef-8ed9-5f87ad0e10db\" type=\"checkbox\"/><label for=\"attrs-2c57dcec-0589-44ef-8ed9-5f87ad0e10db\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-3e1ab978-9de1-4fdd-8b96-07c40cd406d5\" type=\"checkbox\"/><label for=\"data-3e1ab978-9de1-4fdd-8b96-07c40cd406d5\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator name</dd><dt><span>long_name :</span></dt><dd>principal investigator name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz'],\n       ['Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n...\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh'],\n       ['Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen'],\n       ['Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin']], dtype='&lt;U75')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-fb66ff60-10c2-453e-8883-aae16f49e2ca\" type=\"checkbox\"/><label for=\"attrs-fb66ff60-10c2-453e-8883-aae16f49e2ca\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b72afa5d-88ff-442a-98d8-0bad423efbee\" type=\"checkbox\"/><label for=\"data-b72afa5d-88ff-442a-98d8-0bad423efbee\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator institution</dd><dt><span>long_name :</span></dt><dd>principal investigator institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n...\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'nan', 'nan', 'nan', 'nan', 'nan', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-5b98bfbd-eeab-4795-8646-212a0966d14f\" type=\"checkbox\"/><label for=\"attrs-5b98bfbd-eeab-4795-8646-212a0966d14f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-592e0981-5c53-4903-ab95-7d7e640299b1\" type=\"checkbox\"/><label for=\"data-592e0981-5c53-4903-ab95-7d7e640299b1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator email address</dd><dt><span>long_name :</span></dt><dd>principal investigator email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n...\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U75</div><div class=\"xr-var-preview xr-preview\">'Manuel Cupeiro, Gerardo Carbaja...</div><input class=\"xr-var-attrs-in\" id=\"attrs-b93862d1-9ec3-4803-8802-1e1a0ea59aa6\" type=\"checkbox\"/><label for=\"attrs-b93862d1-9ec3-4803-8802-1e1a0ea59aa6\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-430d5988-7d4c-4e19-9498-91199564ef50\" type=\"checkbox\"/><label for=\"data-430d5988-7d4c-4e19-9498-91199564ef50\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact name</dd><dt><span>long_name :</span></dt><dd>contact name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz',\n        'Manuel Cupeiro, Gerardo Carbajal Benitez, Lino Condori, Maria Ruiz'],\n       ['Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n        'Marina Froelich, Wolfgang Spangl, Iris Buxbaum',\n...\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh',\n        'Peter Effertz, Irina Petropavlovskikh'],\n       ['Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen',\n        'Nhat Anh Nguyen', 'Nhat Anh Nguyen', 'Nhat Anh Nguyen'],\n       ['Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin',\n        'Thumeka Mkololo, Lynwill Martin']], dtype='&lt;U75')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-b87f623c-bdf4-4f14-976f-130cf0dc0ad1\" type=\"checkbox\"/><label for=\"attrs-b87f623c-bdf4-4f14-976f-130cf0dc0ad1\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-c205c30b-7f32-4a11-b967-f418e759db46\" type=\"checkbox\"/><label for=\"data-c205c30b-7f32-4a11-b967-f418e759db46\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact institution</dd><dt><span>long_name :</span></dt><dd>contact institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n...\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'nan', 'nan', 'nan', 'nan', 'nan', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-d29c34ef-5540-4aa1-93d3-c24da8c3c9a8\" type=\"checkbox\"/><label for=\"attrs-d29c34ef-5540-4aa1-93d3-c24da8c3c9a8\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-2d2d07e3-1101-4a43-adb1-32c091d66533\" type=\"checkbox\"/><label for=\"data-2d2d07e3-1101-4a43-adb1-32c091d66533\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact email address</dd><dt><span>long_name :</span></dt><dd>contact email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n...\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_licence</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-afd819b5-8e84-418f-86a5-f2ffeef29ea5\" type=\"checkbox\"/><label for=\"attrs-afd819b5-8e84-418f-86a5-f2ffeef29ea5\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b35bdad3-2d53-43d5-935b-b25bb248c62d\" type=\"checkbox\"/><label for=\"data-b35bdad3-2d53-43d5-935b-b25bb248c62d\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data licence</dd><dt><span>long_name :</span></dt><dd>data licence</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Information pertaining to the data licence governing the redistribution/publication of the ingested network data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n...\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_doi</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'rxl8' 'rxl8' ... 'w8h0' 'w8h0'</div><input class=\"xr-var-attrs-in\" id=\"attrs-ff1afb12-3e6f-49a6-8bb0-0744993a28d2\" type=\"checkbox\"/><label for=\"attrs-ff1afb12-3e6f-49a6-8bb0-0744993a28d2\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-47150412-464c-4c34-a03c-57d28b83fef8\" type=\"checkbox\"/><label for=\"data-47150412-464c-4c34-a03c-57d28b83fef8\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>DOI</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Digital identifier of an object.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['rxl8', 'rxl8', 'rxl8', 'rxl8', 'rxl8', 'rxl8', 'rxl8', 'rxl8',\n        'rxl8', 'rxl8', 'rxl8', 'rxl8'],\n       ['gb6m', 'gb6m', 'gb6m', 'gb6m', 'gb6m', 'gb6m', 'gb6m', 'gb6m',\n        'gb6m', 'gb6m', 'gb6m', 'gb6m'],\n       ['6cte', '6cte', '6cte', '6cte', '6cte', '6cte', '6cte', '6cte',\n        '6cte', '6cte', '6cte', '6cte'],\n       ['wzce', 'wzce', 'wzce', 'wzce', 'wzce', 'wzce', 'wzce', 'wzce',\n        'wzce', 'wzce', 'wzce', 'wzce'],\n       ['b95z', 'b95z', 'b95z', 'b95z', 'b95z', 'b95z', 'b95z', 'b95z',\n        'b95z', 'b95z', 'b95z', 'b95z'],\n       ['xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0',\n        'xbi0', 'xbi0', 'xbi0', 'xbi0'],\n       ['ueno', 'ueno', 'ueno', 'ueno', 'ueno', 'ueno', 'ueno', 'ueno',\n        'ueno', 'ueno', 'ueno', 'ueno'],\n       ['7zij', '7zij', '7zij', '7zij', '7zij', '7zij', '7zij', '7zij',\n        '7zij', '7zij', '7zij', '7zij'],\n       ['rjs7', 'rjs7', 'rjs7', 'rjs7', 'rjs7', 'rjs7', 'rjs7', 'rjs7',\n        'rjs7', 'rjs7', 'rjs7', 'rjs7'],\n       ['tt5l', 'tt5l', 'tt5l', 'tt5l', 'tt5l', 'tt5l', 'tt5l', 'tt5l',\n        'tt5l', 'tt5l', 'tt5l', 'tt5l'],\n...\n       ['ey6p', 'ey6p', 'ey6p', 'ey6p', 'ey6p', 'ey6p', 'ey6p', 'ey6p',\n        'ey6p', 'ey6p', 'ey6p', 'ey6p'],\n       ['356n', '356n', '356n', '356n', '356n', '356n', '356n', '356n',\n        '356n', '356n', '356n', '356n'],\n       ['95h3', '95h3', '95h3', '95h3', '95h3', '95h3', '95h3', '95h3',\n        '95h3', '95h3', '95h3', '95h3'],\n       ['s64o', 's64o', 's64o', 's64o', 's64o', 's64o', 's64o', 's64o',\n        's64o', 's64o', 's64o', 's64o'],\n       ['wbk6', 'wbk6', 'wbk6', 'wbk6', 'wbk6', 'wbk6', 'wbk6', 'wbk6',\n        'wbk6', 'wbk6', 'wbk6', 'wbk6'],\n       ['t2si', 't2si', 'nan', 'nan', 'nan', 'nan', 'nan', 't2si',\n        't2si', 't2si', 't2si', 't2si'],\n       ['dsva', 'dsva', 'dsva', 'dsva', 'dsva', 'dsva', 'dsva', 'dsva',\n        'dsva', 'dsva', 'dsva', 'dsva'],\n       ['gjsx', 'gjsx', 'gjsx', 'gjsx', 'gjsx', 'gjsx', 'gjsx', 'gjsx',\n        'gjsx', 'gjsx', 'gjsx', 'gjsx'],\n       ['digh', 'digh', 'digh', 'digh', 'digh', 'digh', 'digh', 'digh',\n        'digh', 'digh', 'digh', 'digh'],\n       ['w8h0', 'w8h0', 'w8h0', 'w8h0', 'w8h0', 'w8h0', 'w8h0', 'w8h0',\n        'w8h0', 'w8h0', 'w8h0', 'w8h0']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_actris_national_facility</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U5</div><div class=\"xr-var-preview xr-preview\">'False' 'False' ... 'False' 'False'</div><input class=\"xr-var-attrs-in\" id=\"attrs-bad2df2c-bddc-4050-8df9-d1859362ec18\" type=\"checkbox\"/><label for=\"attrs-bad2df2c-bddc-4050-8df9-d1859362ec18\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-c1b76957-015a-413a-bf43-ff59fa623897\" type=\"checkbox\"/><label for=\"data-c1b76957-015a-413a-bf43-ff59fa623897\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ACTRIS national facility</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>ACTRIS national facility.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['True', 'True', 'True', 'True', 'True', 'True', 'True', 'True',\n        'True', 'True', 'True', 'True'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n...\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'nan', 'nan', 'nan', 'nan', 'nan', 'False',\n        'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False']], dtype='&lt;U5')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-17a3911c-b263-42ed-b0f8-c0b055efa615\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-17a3911c-b263-42ed-b0f8-c0b055efa615\">Attributes: <span>(3)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>title :</span></dt><dd>Saved data from Providentia</dd><dt><span>institution :</span></dt><dd>Barcelona Supercomputing Center</dd><dt><span>source :</span></dt><dd>Providentia</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=13ecfa3d-7b6f-4942-86a5-b305101e84d2\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>The variable data is stored in <code>actris_actris|sconco3_data</code> by label (in this case only observations), station and time.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=a79e75d5-2256-45a7-9be4-22c0a7801b00\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[9]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">data</span><span class=\"p\">[</span><span class=\"s1\">'actris_actris|sconco3_data'</span><span class=\"p\">]</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[9]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 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label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.DataArray 'actris_actris|sconco3_data' (data_label: 1,\n                                                station_actris_actris|sconco3: 80,\n                                                time: 8784)&gt; Size: 3MB\narray([[[27.256, 24.802, 21.649, ..., 25.161, 25.081, 23.784],\n        [   nan,    nan,    nan, ..., 30.8  , 28.2  , 27.5  ],\n        [53.4  , 56.3  , 55.4  , ..., 66.9  , 66.2  , 67.9  ],\n        ...,\n        [63.552, 72.551, 60.04 , ..., 70.396, 69.677, 69.318],\n        [42.281, 41.004, 45.055, ...,    nan,    nan,    nan],\n        [37.31 , 38.51 , 39.31 , ...,    nan,    nan,    nan]]],\n      shape=(1, 80, 8784), dtype=float32)\nCoordinates:\n  * time     (time) datetime64[ns] 70kB 2024-01-01 ... 2024-12-31T23:00:00\nDimensions without coordinates: data_label, station_actris_actris|sconco3\nAttributes: (12/26)\n    standard_name:                            ozone\n    long_name:                                ozone\n    units:                                    nmol mol-1\n    description:                              Measured value of surface ozone...\n    resolution:                               hourly\n    resampling_resolution:                    None\n    ...                                       ...\n    spatial_colocation_station_reference:     True\n    spatial_colocation_station_name:          True\n    spatial_colocation_longitude_latitude:    True\n    spatial_colocation_measurement_altitude:  True\n    spatial_colocation_validation:            True\n    spatial_colocation_validation_tolerance:  10000.0</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.DataArray</div><div class=\"xr-obj-name\">'actris_actris|sconco3_data'</div><ul class=\"xr-dim-list\"><li><span>data_label</span>: 1</li><li><span>station_actris_actris|sconco3</span>: 80</li><li><span class=\"xr-has-index\">time</span>: 8784</li></ul></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><div class=\"xr-array-wrap\"><input checked=\"\" class=\"xr-array-in\" id=\"section-3f7b69d0-3b36-4cbb-81bd-a4a6b2fc0bba\" type=\"checkbox\"/><label for=\"section-3f7b69d0-3b36-4cbb-81bd-a4a6b2fc0bba\" title=\"Show/hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-array-preview xr-preview\"><span>27.26 24.8 21.65 25.98 28.03 25.02 16.26 ... nan nan nan nan nan nan</span></div><div class=\"xr-array-data\"><pre>array([[[27.256, 24.802, 21.649, ..., 25.161, 25.081, 23.784],\n        [   nan,    nan,    nan, ..., 30.8  , 28.2  , 27.5  ],\n        [53.4  , 56.3  , 55.4  , ..., 66.9  , 66.2  , 67.9  ],\n        ...,\n        [63.552, 72.551, 60.04 , ..., 70.396, 69.677, 69.318],\n        [42.281, 41.004, 45.055, ...,    nan,    nan,    nan],\n        [37.31 , 38.51 , 39.31 , ...,    nan,    nan,    nan]]],\n      shape=(1, 80, 8784), dtype=float32)</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-2af55b72-f289-46c4-8cac-a7e4d282d1b2\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-2af55b72-f289-46c4-8cac-a7e4d282d1b2\">Coordinates: <span>(1)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span class=\"xr-has-index\">time</span></div><div class=\"xr-var-dims\">(time)</div><div class=\"xr-var-dtype\">datetime64[ns]</div><div class=\"xr-var-preview xr-preview\">2024-01-01 ... 2024-12-31T23:00:00</div><input class=\"xr-var-attrs-in\" id=\"attrs-c121156b-8354-4c7b-9511-f46c564cd028\" type=\"checkbox\"/><label for=\"attrs-c121156b-8354-4c7b-9511-f46c564cd028\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-87e21bdc-3cdd-4d55-9484-490f7baab10c\" type=\"checkbox\"/><label for=\"data-87e21bdc-3cdd-4d55-9484-490f7baab10c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Time in hours since 2024-01-01 00:00 UTC. Time given refers to the start of the time window the measurement is representative of (temporal resolution).</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>tz :</span></dt><dd>UTC</dd></dl></div><div class=\"xr-var-data\"><pre>array(['2024-01-01T00:00:00.000000000', '2024-01-01T01:00:00.000000000',\n       '2024-01-01T02:00:00.000000000', ..., '2024-12-31T21:00:00.000000000',\n       '2024-12-31T22:00:00.000000000', '2024-12-31T23:00:00.000000000'],\n      shape=(8784,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" id=\"section-f1780958-c29a-4378-937c-09bb9914b4f6\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-f1780958-c29a-4378-937c-09bb9914b4f6\">Attributes: <span>(26)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ozone</dd><dt><span>long_name :</span></dt><dd>ozone</dd><dt><span>units :</span></dt><dd>nmol mol-1</dd><dt><span>description :</span></dt><dd>Measured value of surface ozone for the stated temporal resolution.</dd><dt><span>resolution :</span></dt><dd>hourly</dd><dt><span>resampling_resolution :</span></dt><dd>None</dd><dt><span>start_date :</span></dt><dd>20240101</dd><dt><span>end_date :</span></dt><dd>20250101</dd><dt><span>temporal_colocation :</span></dt><dd>True</dd><dt><span>spatial_colocation :</span></dt><dd>True</dd><dt><span>filter_species :</span></dt><dd>{}</dd><dt><span>forecast :</span></dt><dd>[]</dd><dt><span>calibration_factor :</span></dt><dd>{}</dd><dt><span>remove_extreme_stations :</span></dt><dd>None</dd><dt><span>statistic_mode :</span></dt><dd>Temporal|Spatial</dd><dt><span>statistic_aggregation :</span></dt><dd>Median</dd><dt><span>periodic_statistic_mode :</span></dt><dd>Independent</dd><dt><span>periodic_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>timeseries_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>spatial_colocation_tolerance :</span></dt><dd>19.053</dd><dt><span>spatial_colocation_station_reference :</span></dt><dd>True</dd><dt><span>spatial_colocation_station_name :</span></dt><dd>True</dd><dt><span>spatial_colocation_longitude_latitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_measurement_altitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation_tolerance :</span></dt><dd>10000.0</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=9a96d311-e489-4eb3-82f2-f69c7bb5f9be\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>While the station information is stored in different variables by month, such as <code>actris_actris|sconco3_station_reference</code>, <code>actris_actris|sconco3_station_name</code>, <code>actris_actris|sconco3_latitude</code> and <code>actris_actris|sconco3_longitude</code>.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=0e18b982-d199-46c1-ba9a-e338bf6b1103\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[10]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">data</span><span class=\"p\">[</span><span class=\"s1\">'actris_actris|sconco3_station_reference'</span><span class=\"p\">]</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[10]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 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stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.DataArray 'actris_actris|sconco3_station_reference' (\n                                                             station_actris_actris|sconco3: 80,\n                                                             month: 12)&gt; Size: 27kB\narray([['AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G',\n        'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G'],\n       ['AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R',\n        'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R'],\n       ['AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R',\n        'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R'],\n       ['AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R',\n        'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R'],\n       ['AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R',\n        'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R'],\n       ['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R',\n        'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R'],\n       ['AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R',\n        'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R'],\n       ['AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R',\n        'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R'],\n       ['AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R',\n        'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R'],\n...\n        'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R'],\n       ['SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R',\n        'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R'],\n       ['SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R',\n        'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R'],\n       ['SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R',\n        'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R'],\n       ['SK0007R', 'SK0007R', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R'],\n       ['US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R',\n        'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R'],\n       ['US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R',\n        'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R'],\n       ['VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R',\n        'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R'],\n       ['ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G',\n        'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G']],\n      dtype='&lt;U7')\nDimensions without coordinates: station_actris_actris|sconco3, month\nAttributes:\n    standard_name:  station reference\n    long_name:      station reference identifier\n    units:          unitless\n    description:    reference ID for station.</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.DataArray</div><div class=\"xr-obj-name\">'actris_actris|sconco3_station_reference'</div><ul class=\"xr-dim-list\"><li><span>station_actris_actris|sconco3</span>: 80</li><li><span>month</span>: 12</li></ul></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><div class=\"xr-array-wrap\"><input checked=\"\" class=\"xr-array-in\" id=\"section-fd7462af-bec5-42ff-a13b-79223f998d70\" type=\"checkbox\"/><label for=\"section-fd7462af-bec5-42ff-a13b-79223f998d70\" title=\"Show/hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-array-preview xr-preview\"><span>'AR0002G' 'AR0002G' 'AR0002G' ... 'ZA0001G' 'ZA0001G' 'ZA0001G'</span></div><div class=\"xr-array-data\"><pre>array([['AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G',\n        'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G', 'AR0002G'],\n       ['AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R',\n        'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R', 'AT0002R'],\n       ['AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R',\n        'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R', 'AT0005R'],\n       ['AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R',\n        'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R', 'AT0030R'],\n       ['AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R',\n        'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R', 'AT0032R'],\n       ['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R',\n        'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R', 'AT0040R'],\n       ['AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R',\n        'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R', 'AT0041R'],\n       ['AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R',\n        'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R', 'AT0042R'],\n       ['AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R',\n        'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R', 'AT0043R'],\n...\n        'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R', 'SI0008R'],\n       ['SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R',\n        'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R', 'SI0031R'],\n       ['SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R',\n        'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R', 'SI0032R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R'],\n       ['SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R',\n        'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R', 'SK0006R'],\n       ['SK0007R', 'SK0007R', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R', 'SK0007R'],\n       ['US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R',\n        'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R', 'US0008R'],\n       ['US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R',\n        'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R', 'US0901R'],\n       ['VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R',\n        'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R', 'VN0001R'],\n       ['ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G',\n        'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G', 'ZA0001G']],\n      dtype='&lt;U7')</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-da6dc399-28b8-4473-ada3-cfc22776f8cf\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-da6dc399-28b8-4473-ada3-cfc22776f8cf\">Attributes: <span>(4)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=42a52014-6f96-44a5-9951-3f8d186affad\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[11]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">data</span><span class=\"p\">[</span><span class=\"s1\">'actris_actris|sconco3_station_name'</span><span class=\"p\">]</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[11]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg 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var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.DataArray 'actris_actris|sconco3_station_name' (\n                                                        station_actris_actris|sconco3: 80,\n                                                        month: 12)&gt; Size: 131kB\narray([['Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia',\n        'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia'],\n       ['Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz',\n        'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz'],\n       ['Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg',\n        'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg'],\n       ['Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz'],\n       ['Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg'],\n       ['Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick'],\n       ['Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n        'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n...\n       ['Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok',\n        'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok'],\n       ['Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina',\n        'Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina'],\n       ['Topolniky', 'Topolniky', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky'],\n       ['Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow',\n        'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow'],\n       ['Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain'],\n       ['Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din',\n        'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din'],\n       ['Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point']],\n      dtype='&lt;U34')\nDimensions without coordinates: station_actris_actris|sconco3, month\nAttributes:\n    standard_name:  station name\n    long_name:      station name\n    units:          unitless\n    description:    Name of station where the measurement was conducted.</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.DataArray</div><div class=\"xr-obj-name\">'actris_actris|sconco3_station_name'</div><ul class=\"xr-dim-list\"><li><span>station_actris_actris|sconco3</span>: 80</li><li><span>month</span>: 12</li></ul></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><div class=\"xr-array-wrap\"><input checked=\"\" class=\"xr-array-in\" id=\"section-e9045456-7f9a-4911-b096-18d379f2317b\" type=\"checkbox\"/><label for=\"section-e9045456-7f9a-4911-b096-18d379f2317b\" title=\"Show/hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-array-preview xr-preview\"><span>'Ushuaia' 'Ushuaia' 'Ushuaia' ... 'Cape Point' 'Cape Point'</span></div><div class=\"xr-array-data\"><pre>array([['Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia',\n        'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia', 'Ushuaia'],\n       ['Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz',\n        'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz', 'Illmitz'],\n       ['Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg',\n        'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg', 'Vorhegg'],\n       ['Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz',\n        'Pillersdorf bei Retz', 'Pillersdorf bei Retz'],\n       ['Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg', 'Sulzberg',\n        'Sulzberg', 'Sulzberg'],\n       ['Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick'],\n       ['Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n        'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg', 'Masenberg',\n...\n       ['Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok',\n        'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok'],\n       ['Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina',\n        'Starina', 'Starina', 'Starina', 'Starina', 'Starina', 'Starina'],\n       ['Topolniky', 'Topolniky', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky', 'Topolniky'],\n       ['Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow',\n        'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow', 'Barrow'],\n       ['Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain',\n        'Boulder Table Mountain', 'Boulder Table Mountain'],\n       ['Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din',\n        'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din', 'Pha Din'],\n       ['Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point',\n        'Cape Point', 'Cape Point', 'Cape Point', 'Cape Point']],\n      dtype='&lt;U34')</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-3eb2b499-5e67-4f60-8b34-05665eeb8af8\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-3eb2b499-5e67-4f60-8b34-05665eeb8af8\">Attributes: <span>(4)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station name</dd><dt><span>long_name :</span></dt><dd>station name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of station where the measurement was conducted.</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=e3deb5da-1bf8-45ed-88c5-6d44f0cf2b93\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[12]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">data</span><span 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],\n       [ 48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ,\n         48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ,\n         48.721111  ,  48.721111  ,  48.721111  ,  48.721111  ],\n       [ 47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ,\n         47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ,\n         47.529167  ,  47.529167  ,  47.529167  ,  47.529167  ],\n       [ 47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ,\n         47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ,\n         47.05407   ,  47.05407   ,  47.05407   ,  47.05407   ],\n       [ 47.348056  ,  47.348056  ,  47.348056  ,  47.348056  ,\n         47.348056  ,  47.348056  ,  47.348056  ,  47.348056  ,\n...\n         48.933333  ,  48.933333  ,  48.933333  ,  48.933333  ,\n         48.933333  ,  48.933333  ,  48.933333  ,  48.933333  ],\n       [ 49.05      ,  49.05      ,  49.05      ,  49.05      ,\n         49.05      ,  49.05      ,  49.05      ,  49.05      ,\n         49.05      ,  49.05      ,  49.05      ,  49.05      ],\n       [ 47.96      ,  47.96      ,          nan,          nan,\n                 nan,          nan,          nan,  47.96      ,\n         47.96      ,  47.96      ,  47.96      ,  47.96      ],\n       [ 71.32301331,  71.32301331,  71.32301331,  71.32301331,\n         71.32301331,  71.32301331,  71.32301331,  71.32301331,\n         71.32301331,  71.32301331,  71.32301331,  71.32301331],\n       [ 40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ,\n         40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ,\n         40.12498   ,  40.12498   ,  40.12498   ,  40.12498   ],\n       [ 21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ,\n         21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ,\n         21.5731    ,  21.5731    ,  21.5731    ,  21.5731    ],\n       [-34.35348   , -34.35348   , -34.35348   , -34.35348   ,\n        -34.35348   , -34.35348   , -34.35348   , -34.35348   ,\n        -34.35348   , -34.35348   , -34.35348   , -34.35348   ]])</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-e54560df-c2e8-4dcc-8670-6ae9029dc27e\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-e54560df-c2e8-4dcc-8670-6ae9029dc27e\">Attributes: <span>(5)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>decimal degrees North</dd><dt><span>description :</span></dt><dd>Geodetic latitude of measuring instrument, in decimal degrees North, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=6d5a2a87-a45c-4739-8b67-d1c9c1056162\">\n<div 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 display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.DataArray 'actris_actris|sconco3_longitude' (\n                                                     station_actris_actris|sconco3: 80,\n                                                     month: 12)&gt; Size: 8kB\narray([[ -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183],\n       [  16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ],\n       [  12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ],\n       [  15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ],\n       [   9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ],\n       [  12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ],\n       [  15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n          15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n...\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ,\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ],\n       [  22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ],\n       [  17.860556  ,   17.860556  ,           nan,           nan,\n                  nan,           nan,           nan,   17.860556  ,\n          17.860556  ,   17.860556  ,   17.860556  ,   17.860556  ],\n       [-156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ],\n       [-105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ],\n       [ 103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ],\n       [  18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ]])\nDimensions without coordinates: station_actris_actris|sconco3, month\nAttributes:\n    standard_name:  longitude\n    long_name:      longitude\n    units:          decimal degrees East\n    description:    Geodetic longitude of measuring instrument, in decimal de...\n    axis:           X</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.DataArray</div><div class=\"xr-obj-name\">'actris_actris|sconco3_longitude'</div><ul class=\"xr-dim-list\"><li><span>station_actris_actris|sconco3</span>: 80</li><li><span>month</span>: 12</li></ul></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><div class=\"xr-array-wrap\"><input checked=\"\" class=\"xr-array-in\" id=\"section-866169f0-85ab-45d6-9102-509bb13a0183\" type=\"checkbox\"/><label for=\"section-866169f0-85ab-45d6-9102-509bb13a0183\" title=\"Show/hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-array-preview xr-preview\"><span>-68.31 -68.31 -68.31 -68.31 -68.31 ... 18.49 18.49 18.49 18.49 18.49</span></div><div class=\"xr-array-data\"><pre>array([[ -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183,\n         -68.31069183,  -68.31069183,  -68.31069183,  -68.31069183],\n       [  16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ,\n          16.76666   ,   16.76666   ,   16.76666   ,   16.76666   ],\n       [  12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ,\n          12.972222  ,   12.972222  ,   12.972222  ,   12.972222  ],\n       [  15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ,\n          15.942222  ,   15.942222  ,   15.942222  ,   15.942222  ],\n       [   9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ,\n           9.926667  ,    9.926667  ,    9.926667  ,    9.926667  ],\n       [  12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ,\n          12.95794   ,   12.95794   ,   12.95794   ,   12.95794   ],\n       [  15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n          15.882222  ,   15.882222  ,   15.882222  ,   15.882222  ,\n...\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ,\n          19.583333  ,   19.583333  ,   19.583333  ,   19.583333  ],\n       [  22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ,\n          22.266667  ,   22.266667  ,   22.266667  ,   22.266667  ],\n       [  17.860556  ,   17.860556  ,           nan,           nan,\n                  nan,           nan,           nan,   17.860556  ,\n          17.860556  ,   17.860556  ,   17.860556  ,   17.860556  ],\n       [-156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ,\n        -156.6114655 , -156.6114655 , -156.6114655 , -156.6114655 ],\n       [-105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ,\n        -105.2368    , -105.2368    , -105.2368    , -105.2368    ],\n       [ 103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ,\n         103.5157    ,  103.5157    ,  103.5157    ,  103.5157    ],\n       [  18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ,\n          18.48968   ,   18.48968   ,   18.48968   ,   18.48968   ]])</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-04bd76f7-0270-47f3-9de2-23e7f8ce931a\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-04bd76f7-0270-47f3-9de2-23e7f8ce931a\">Attributes: <span>(5)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>decimal degrees East</dd><dt><span>description :</span></dt><dd>Geodetic longitude of measuring instrument, in decimal degrees East, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=7443fd8a\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Save-data\">Save data<a class=\"anchor-link\" href=\"#Save-data\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=14c468ca-8bc1-40d8-a35a-3b9fc66bf33d\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>Data can be saved as netCDF or Numpy.</p>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=c1dd39b1-67d2-451a-a82f-3c75c7954432\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Save-to-netCDF\">Save to netCDF<a class=\"anchor-link\" href=\"#Save-to-netCDF\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=1af47ed9\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[14]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'nc'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Data saved to /home/avilanov/software/providentia/saved_data/PRV_20260611_1716.nc\n</pre>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=e4730043-1867-4315-a5c7-e527d8963643\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Save-to-Numpy\">Save to Numpy<a class=\"anchor-link\" href=\"#Save-to-Numpy\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=9e05994f-d760-4f49-895c-79c7748386eb\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[15]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">save</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'np'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Data saved to /home/avilanov/software/providentia/saved_data/PRV_20260611_1716.npz\n</pre>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=c293cbe4\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Plot\">Plot<a class=\"anchor-link\" href=\"#Plot\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=afbbdaff-25b5-4b1b-b4d2-bdf7881e00d4\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>The statistics that can be plotted are: <code>Mean</code>, <code>Median</code>, <code>StdDev</code>, <code>Var</code>, <code>Min</code>, <code>Max</code>, <code>NData</code>, <code>Data%</code>, <code>NStations</code>, <code>Exceedances</code>, <code>p1</code>, <code>p5</code>, <code>p10</code>, <code>p25</code>, <code>p75</code> , <code>p90</code>, <code>p95</code>, <code>p99</code> and <code>MDA8</code>.</p>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=266b3bf8-b2c8-4162-8ac8-8210f0f4b4cc\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Maps\">Maps<a class=\"anchor-link\" href=\"#Maps\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=230530d4\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[16]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'map-Median'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\nWarning: No specific data labels set, plotting first available data label: Ozone Mass Concentration.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=57ba7409-efc6-49f6-8c29-c910d8f32848\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Timeseries\">Timeseries<a class=\"anchor-link\" href=\"#Timeseries\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=65639906\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[17]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'timeseries'</span><span class=\"p\">,</span> <span class=\"n\">annotate</span><span class=\"o\">=</span><span class=\"kc\">True</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=607efdb5-59e2-455c-a3db-2576edf1bf98\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Periodic-plots\">Periodic plots<a class=\"anchor-link\" href=\"#Periodic-plots\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=397b95bd-4625-472b-84ff-25128b7a4ea3\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[18]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'periodic-Median'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=94f33eb5-4bc9-444c-b60f-6de67617801e\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Periodic-violin-plots\">Periodic violin plots<a class=\"anchor-link\" href=\"#Periodic-violin-plots\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=7f6a1e74-be41-4c06-817c-4f88a86baf3f\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[19]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'periodic-violin'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=117b26fa-5953-48f4-93c3-8ee3f910cb4f\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Distribution-plots\">Distribution plots<a class=\"anchor-link\" href=\"#Distribution-plots\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=d9bd2e22-47c8-4a3b-843a-ca6a8787e038\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[20]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'distribution'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=3393fcb4-d94b-4ecd-8d6a-85b92f8a50fc\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"Boxplot\">Boxplot<a class=\"anchor-link\" href=\"#Boxplot\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=861a222e-35d9-49bc-b2f7-7ac7c7a95cd5\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[21]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'boxplot'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=6b81aa06-d731-4d94-a611-23c6a145ef1d\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h2 id=\"Filter-data\">Filter data<a class=\"anchor-link\" href=\"#Filter-data\">\u00b6</a></h2>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=f0e2e97e-5d21-4d32-884b-a03a51ba52a8\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"By-country\">By country<a class=\"anchor-link\" href=\"#By-country\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=3e1069fa-00f1-4b9f-b1da-f4d7f5ec452d\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>We can use the metadata to easily filter by country. In this case, we will select all stations in Norway and Spain.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=0be8464e-f818-4c4c-a222-2fededddbc83\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[22]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"c1\"># filter data by country metadata </span>\n<span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">reset</span><span class=\"p\">()</span>\n<span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">filter</span><span class=\"p\">(</span><span class=\"s1\">'country'</span><span class=\"p\">,</span> <span class=\"n\">keep</span><span class=\"o\">=</span><span class=\"p\">[</span><span class=\"s1\">'Norway'</span><span class=\"p\">,</span><span class=\"s1\">'Spain'</span><span class=\"p\">])</span>\n<span class=\"n\">stations_data</span> <span class=\"o\">=</span> <span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">data</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'xr'</span><span class=\"p\">)</span>\n<span class=\"n\">stations_data</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Resetting all data filters.\nFiltering data\nFiltering data\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[22]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n</symbol>\n</defs>\n</svg>\n<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n\n:root {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base rgba(0, 0, 0, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, white)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n  );\n}\n\nhtml[theme=\"dark\"],\nhtml[data-theme=\"dark\"],\nbody[data-theme=\"dark\"],\nbody.vscode-dark {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, #111111)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n  );\n}\n\n.xr-wrap {\n  display: block !important;\n  min-width: 300px;\n  max-width: 700px;\n  line-height: 1.6;\n}\n\n.xr-text-repr-fallback {\n  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n  display: none;\n}\n\n.xr-header {\n  padding-top: 6px;\n  padding-bottom: 6px;\n  margin-bottom: 4px;\n  border-bottom: solid 1px var(--xr-border-color);\n}\n\n.xr-header > div,\n.xr-header > ul {\n  display: inline;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.xr-obj-type,\n.xr-obj-name,\n.xr-group-name {\n  margin-left: 2px;\n  margin-right: 10px;\n}\n\n.xr-group-name::before {\n  content: \"\ud83d\udcc1\";\n  padding-right: 0.3em;\n}\n\n.xr-group-name,\n.xr-obj-type {\n  color: var(--xr-font-color2);\n}\n\n.xr-sections {\n  padding-left: 0 !important;\n  display: grid;\n  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n  margin-block-start: 0;\n  margin-block-end: 0;\n}\n\n.xr-section-item {\n  display: contents;\n}\n\n.xr-section-item input {\n  display: inline-block;\n  opacity: 0;\n  height: 0;\n  margin: 0;\n}\n\n.xr-section-item input + label {\n  color: var(--xr-disabled-color);\n  border: 2px solid transparent !important;\n}\n\n.xr-section-item input:enabled + label {\n  cursor: pointer;\n  color: var(--xr-font-color2);\n}\n\n.xr-section-item input:focus + label {\n  border: 2px solid var(--xr-font-color0) !important;\n}\n\n.xr-section-item input:enabled + label:hover {\n  color: var(--xr-font-color0);\n}\n\n.xr-section-summary {\n  grid-column: 1;\n  color: var(--xr-font-color2);\n  font-weight: 500;\n}\n\n.xr-section-summary > span {\n  display: inline-block;\n  padding-left: 0.5em;\n}\n\n.xr-section-summary-in:disabled + label {\n  color: var(--xr-font-color2);\n}\n\n.xr-section-summary-in + label:before {\n  display: inline-block;\n  content: \"\u25ba\";\n  font-size: 11px;\n  width: 15px;\n  text-align: center;\n}\n\n.xr-section-summary-in:disabled + label:before {\n  color: var(--xr-disabled-color);\n}\n\n.xr-section-summary-in:checked + label:before {\n  content: \"\u25bc\";\n}\n\n.xr-section-summary-in:checked + label > span {\n  display: none;\n}\n\n.xr-section-summary,\n.xr-section-inline-details {\n  padding-top: 4px;\n}\n\n.xr-section-inline-details {\n  grid-column: 2 / -1;\n}\n\n.xr-section-details {\n  display: none;\n  grid-column: 1 / -1;\n  margin-top: 4px;\n  margin-bottom: 5px;\n}\n\n.xr-section-summary-in:checked ~ .xr-section-details {\n  display: contents;\n}\n\n.xr-group-box {\n  display: inline-grid;\n  grid-template-columns: 0px 20px auto;\n  width: 100%;\n}\n\n.xr-group-box-vline {\n  grid-column-start: 1;\n  border-right: 0.2em solid;\n  border-color: var(--xr-border-color);\n  width: 0px;\n}\n\n.xr-group-box-hline {\n  grid-column-start: 2;\n  grid-row-start: 1;\n  height: 1em;\n  width: 20px;\n  border-bottom: 0.2em solid;\n  border-color: var(--xr-border-color);\n}\n\n.xr-group-box-contents {\n  grid-column-start: 3;\n}\n\n.xr-array-wrap {\n  grid-column: 1 / -1;\n  display: grid;\n  grid-template-columns: 20px auto;\n}\n\n.xr-array-wrap > label {\n  grid-column: 1;\n  vertical-align: top;\n}\n\n.xr-preview {\n  color: var(--xr-font-color3);\n}\n\n.xr-array-preview,\n.xr-array-data {\n  padding: 0 5px !important;\n  grid-column: 2;\n}\n\n.xr-array-data,\n.xr-array-in:checked ~ .xr-array-preview {\n  display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.Dataset&gt; Size: 906kB\nDimensions:                                                       (\n                                                                   data_label: 1,\n                                                                   station_actris_actris|sconco3: 16,\n                                                                   time: 8784,\n                                                                   month: 12)\nCoordinates:\n  * time                                                          (time) datetime64[ns] 70kB ...\nDimensions without coordinates: data_label, station_actris_actris|sconco3, month\nData variables: (12/29)\n    data_labels                                                   (data_label) &lt;U24 96B ...\n    actris_actris|sconco3_data                                    (data_label, station_actris_actris|sconco3, time) float32 562kB ...\n    actris_actris|sconco3_station_reference                       (station_actris_actris|sconco3, month) &lt;U7 5kB ...\n    actris_actris|sconco3_longitude                               (station_actris_actris|sconco3, month) float64 2kB ...\n    actris_actris|sconco3_latitude                                (station_actris_actris|sconco3, month) float64 2kB ...\n    actris_actris|sconco3_station_name                            (station_actris_actris|sconco3, month) &lt;U30 23kB ...\n    ...                                                            ...\n    actris_actris|sconco3_contact_name                            (station_actris_actris|sconco3, month) &lt;U63 48kB ...\n    actris_actris|sconco3_contact_institution                     (station_actris_actris|sconco3, month) &lt;U4 3kB ...\n    actris_actris|sconco3_contact_email_address                   (station_actris_actris|sconco3, month) &lt;U12 9kB ...\n    actris_actris|sconco3_data_licence                            (station_actris_actris|sconco3, month) &lt;U3 2kB ...\n    actris_actris|sconco3_doi                                     (station_actris_actris|sconco3, month) &lt;U4 3kB ...\n    actris_actris|sconco3_actris_national_facility                (station_actris_actris|sconco3, month) &lt;U5 4kB ...\nAttributes:\n    title:        Saved data from Providentia\n    institution:  Barcelona Supercomputing Center\n    source:       Providentia</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.Dataset</div></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" disabled=\"\" id=\"section-fef5425d-d664-4c89-8338-d8ab943bf04b\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-fef5425d-d664-4c89-8338-d8ab943bf04b\" title=\"Expand/collapse section\">Dimensions:</label><div class=\"xr-section-inline-details\"><ul class=\"xr-dim-list\"><li><span>data_label</span>: 1</li><li><span>station_actris_actris|sconco3</span>: 16</li><li><span class=\"xr-has-index\">time</span>: 8784</li><li><span>month</span>: 12</li></ul></div><div class=\"xr-section-details\"></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-3ca7f582-5e64-4e04-a277-36d32f0ea6e7\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-3ca7f582-5e64-4e04-a277-36d32f0ea6e7\">Coordinates: <span>(1)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span class=\"xr-has-index\">time</span></div><div class=\"xr-var-dims\">(time)</div><div class=\"xr-var-dtype\">datetime64[ns]</div><div class=\"xr-var-preview xr-preview\">2024-01-01 ... 2024-12-31T23:00:00</div><input class=\"xr-var-attrs-in\" id=\"attrs-d98e8855-0073-4f7e-935e-f05e7c240924\" type=\"checkbox\"/><label for=\"attrs-d98e8855-0073-4f7e-935e-f05e7c240924\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1627e59f-e7a3-4a21-aa8b-9df595e3f944\" type=\"checkbox\"/><label for=\"data-1627e59f-e7a3-4a21-aa8b-9df595e3f944\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Time in hours since 2024-01-01 00:00 UTC. Time given refers to the start of the time window the measurement is representative of (temporal resolution).</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>tz :</span></dt><dd>UTC</dd></dl></div><div class=\"xr-var-data\"><pre>array(['2024-01-01T00:00:00.000000000', '2024-01-01T01:00:00.000000000',\n       '2024-01-01T02:00:00.000000000', ..., '2024-12-31T21:00:00.000000000',\n       '2024-12-31T22:00:00.000000000', '2024-12-31T23:00:00.000000000'],\n      shape=(8784,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" id=\"section-448a9878-268e-4225-9d0f-b10192a0a230\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-448a9878-268e-4225-9d0f-b10192a0a230\">Data variables: <span>(29)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>data_labels</span></div><div class=\"xr-var-dims\">(data_label)</div><div class=\"xr-var-dtype\">&lt;U24</div><div class=\"xr-var-preview xr-preview\">'Ozone Mass Concentration'</div><input class=\"xr-var-attrs-in\" id=\"attrs-0b75d9c9-ac38-4cd5-83f5-09ee23b3afdb\" type=\"checkbox\"/><label for=\"attrs-0b75d9c9-ac38-4cd5-83f5-09ee23b3afdb\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-68e450fc-f1fe-4b23-bf3d-fb2b8c742d0b\" type=\"checkbox\"/><label for=\"data-68e450fc-f1fe-4b23-bf3d-fb2b8c742d0b\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data_labels</dd><dt><span>long_name :</span></dt><dd>data_labels</dd><dt><span>description :</span></dt><dd>Labels associated with each data array, e.g. observations, model_1, etc.</dd></dl></div><div class=\"xr-var-data\"><pre>array(['Ozone Mass Concentration'], dtype='&lt;U24')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data</span></div><div class=\"xr-var-dims\">(data_label, station_actris_actris|sconco3, time)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">63.36 62.64 61.53 ... 78.6 77.6 nan</div><input class=\"xr-var-attrs-in\" id=\"attrs-34f932e7-4712-48c6-b2d3-0f8dcba0a8b0\" type=\"checkbox\"/><label for=\"attrs-34f932e7-4712-48c6-b2d3-0f8dcba0a8b0\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f6a29146-333a-44e4-9ca8-8fa3f1d6d326\" type=\"checkbox\"/><label for=\"data-f6a29146-333a-44e4-9ca8-8fa3f1d6d326\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ozone</dd><dt><span>long_name :</span></dt><dd>ozone</dd><dt><span>units :</span></dt><dd>nmol mol-1</dd><dt><span>description :</span></dt><dd>Measured value of surface ozone for the stated temporal resolution.</dd><dt><span>resolution :</span></dt><dd>hourly</dd><dt><span>resampling_resolution :</span></dt><dd>None</dd><dt><span>start_date :</span></dt><dd>20240101</dd><dt><span>end_date :</span></dt><dd>20250101</dd><dt><span>temporal_colocation :</span></dt><dd>True</dd><dt><span>spatial_colocation :</span></dt><dd>True</dd><dt><span>filter_species :</span></dt><dd>{}</dd><dt><span>forecast :</span></dt><dd>[]</dd><dt><span>calibration_factor :</span></dt><dd>{}</dd><dt><span>remove_extreme_stations :</span></dt><dd>None</dd><dt><span>statistic_mode :</span></dt><dd>Temporal|Spatial</dd><dt><span>statistic_aggregation :</span></dt><dd>Median</dd><dt><span>periodic_statistic_mode :</span></dt><dd>Independent</dd><dt><span>periodic_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>timeseries_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>spatial_colocation_tolerance :</span></dt><dd>19.053</dd><dt><span>spatial_colocation_station_reference :</span></dt><dd>True</dd><dt><span>spatial_colocation_station_name :</span></dt><dd>True</dd><dt><span>spatial_colocation_longitude_latitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_measurement_altitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation_tolerance :</span></dt><dd>10000.0</dd></dl></div><div class=\"xr-var-data\"><pre>array([[[63.36, 62.64, 61.53, ..., 64.03, 62.75, 61.67],\n        [72.7 , 72.42, 72.58, ..., 59.93, 59.61, 63.76],\n        [70.27, 70.53, 69.81, ...,   nan,   nan,   nan],\n        ...,\n        [60.9 , 59.9 , 55.3 , ..., 62.5 , 63.7 ,   nan],\n        [42.2 , 42.  , 41.8 , ..., 43.3 , 43.5 , 43.3 ],\n        [67.9 , 67.1 , 66.7 , ..., 78.6 , 77.6 ,   nan]]],\n      shape=(1, 16, 8784), dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_reference</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U7</div><div class=\"xr-var-preview xr-preview\">'ES0005R' 'ES0005R' ... 'NO0489R'</div><input class=\"xr-var-attrs-in\" id=\"attrs-22fbe066-61c3-448e-bf5d-c2947d4ef815\" type=\"checkbox\"/><label for=\"attrs-22fbe066-61c3-448e-bf5d-c2947d4ef815\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-16f40e45-9854-481f-9517-b982345d23eb\" type=\"checkbox\"/><label for=\"data-16f40e45-9854-481f-9517-b982345d23eb\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ES0005R', 'ES0005R', 'ES0005R', 'ES0005R', 'ES0005R', 'ES0005R',\n        'ES0005R', 'ES0005R', 'ES0005R', 'ES0005R', 'ES0005R', 'ES0005R'],\n       ['ES0008R', 'ES0008R', 'ES0008R', 'ES0008R', 'ES0008R', 'ES0008R',\n        'ES0008R', 'ES0008R', 'ES0008R', 'ES0008R', 'ES0008R', 'ES0008R'],\n       ['ES0009R', 'ES0009R', 'ES0009R', 'ES0009R', 'ES0009R', 'ES0009R',\n        'ES0009R', 'ES0009R', 'ES0009R', 'ES0009R', 'ES0009R', 'ES0009R'],\n       ['ES0010R', 'ES0010R', 'ES0010R', 'ES0010R', 'ES0010R', 'ES0010R',\n        'ES0010R', 'ES0010R', 'ES0010R', 'ES0010R', 'ES0010R', 'ES0010R'],\n       ['ES0011R', 'ES0011R', 'ES0011R', 'ES0011R', 'ES0011R', 'ES0011R',\n        'ES0011R', 'ES0011R', 'ES0011R', 'ES0011R', 'ES0011R', 'ES0011R'],\n       ['ES0012R', 'ES0012R', 'ES0012R', 'ES0012R', 'ES0012R', 'ES0012R',\n        'ES0012R', 'ES0012R', 'ES0012R', 'ES0012R', 'ES0012R', 'ES0012R'],\n       ['ES0014R', 'ES0014R', 'ES0014R', 'ES0014R', 'ES0014R', 'ES0014R',\n        'ES0014R', 'ES0014R', 'ES0014R', 'ES0014R', 'ES0014R', 'ES0014R'],\n       ['NO0002R', 'NO0002R', 'NO0002R', 'NO0002R', 'NO0002R', 'NO0002R',\n        'NO0002R', 'NO0002R', 'NO0002R', 'NO0002R', 'NO0002R', 'NO0002R'],\n       ['NO0015R', 'NO0015R', 'NO0015R', 'NO0015R', 'NO0015R', 'NO0015R',\n        'NO0015R', 'NO0015R', 'NO0015R', 'NO0015R', 'NO0015R', 'NO0015R'],\n       ['NO0042G', 'NO0042G', 'NO0042G', 'NO0042G', 'NO0042G', 'NO0042G',\n        'NO0042G', 'NO0042G', 'NO0042G', 'NO0042G', 'NO0042G', 'NO0042G'],\n       ['NO0043R', 'NO0043R', 'NO0043R', 'NO0043R', 'NO0043R', 'NO0043R',\n        'NO0043R', 'NO0043R', 'NO0043R', 'NO0043R', 'NO0043R', 'NO0043R'],\n       ['NO0047R', 'NO0047R', 'NO0047R', 'NO0047R', 'NO0047R', 'NO0047R',\n        'NO0047R', 'NO0047R', 'NO0047R', 'NO0047R', 'NO0047R', 'NO0047R'],\n       ['NO0052R', 'NO0052R', 'NO0052R', 'NO0052R', 'NO0052R', 'NO0052R',\n        'NO0052R', 'NO0052R', 'NO0052R', 'NO0052R', 'NO0052R', 'NO0052R'],\n       ['NO0056R', 'NO0056R', 'NO0056R', 'NO0056R', 'NO0056R', 'NO0056R',\n        'NO0056R', 'NO0056R', 'NO0056R', 'NO0056R', 'NO0056R', 'NO0056R'],\n       ['NO0059G', 'NO0059G', 'NO0059G', 'NO0059G', 'NO0059G', 'NO0059G',\n        'NO0059G', 'NO0059G', 'NO0059G', 'NO0059G', 'NO0059G', 'NO0059G'],\n       ['NO0489R', 'NO0489R', 'NO0489R', 'NO0489R', 'NO0489R', 'NO0489R',\n        'NO0489R', 'NO0489R', 'NO0489R', 'NO0489R', 'NO0489R', 'NO0489R']],\n      dtype='&lt;U7')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_longitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">-8.924 -8.924 ... 9.517 9.517</div><input class=\"xr-var-attrs-in\" id=\"attrs-f4147b10-792e-4faf-8b47-f3828d0978a1\" type=\"checkbox\"/><label for=\"attrs-f4147b10-792e-4faf-8b47-f3828d0978a1\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-8dc9e1d4-1c12-49d3-9e78-90bbc8193173\" type=\"checkbox\"/><label for=\"data-8dc9e1d4-1c12-49d3-9e78-90bbc8193173\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>decimal degrees East</dd><dt><span>description :</span></dt><dd>Geodetic longitude of measuring instrument, in decimal degrees East, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class=\"xr-var-data\"><pre>array([[-8.92361 , -8.92361 , -8.92361 , -8.92361 , -8.92361 , -8.92361 ,\n        -8.92361 , -8.92361 , -8.92361 , -8.92361 , -8.92361 , -8.92361 ],\n       [-4.85    , -4.85    , -4.85    , -4.85    , -4.85    , -4.85    ,\n        -4.85    , -4.85    , -4.85    , -4.85    , -4.85    , -4.85    ],\n       [-3.1425  , -3.1425  , -3.1425  , -3.1425  , -3.1425  , -3.1425  ,\n        -3.1425  , -3.1425  , -3.1425  , -3.1425  , -3.1425  , -3.1425  ],\n       [ 3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ,\n         3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ,  3.31583 ],\n       [-6.92361 , -6.92361 , -6.92361 , -6.92361 , -6.92361 , -6.92361 ,\n        -6.92361 , -6.92361 , -6.92361 , -6.92361 , -6.92361 , -6.92361 ],\n       [-1.10111 , -1.10111 , -1.10111 , -1.10111 , -1.10111 , -1.10111 ,\n        -1.10111 , -1.10111 , -1.10111 , -1.10111 , -1.10111 , -1.10111 ],\n       [ 0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ,\n         0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ,  0.73472 ],\n       [ 8.252   ,  8.252   ,  8.252   ,  8.252   ,  8.252   ,  8.252   ,\n         8.252   ,  8.252   ,  8.252   ,  8.252   ,  8.252   ,  8.252   ],\n       [13.916667, 13.916667, 13.916667, 13.916667, 13.916667, 13.916667,\n        13.916667, 13.916667, 13.916667, 13.916667, 13.916667, 13.916667],\n       [11.88668 , 11.88668 , 11.88668 , 11.88668 , 11.88668 , 11.88668 ,\n        11.88668 , 11.88668 , 11.88668 , 11.88668 , 11.88668 , 11.88668 ],\n       [11.533333, 11.533333, 11.533333, 11.533333, 11.533333, 11.533333,\n        11.533333, 11.533333, 11.533333, 11.533333, 11.533333, 11.533333],\n       [30.033333, 30.033333, 30.033333, 30.033333, 30.033333, 30.033333,\n        30.033333, 30.033333, 30.033333, 30.033333, 30.033333, 30.033333],\n       [ 5.2     ,  5.2     ,  5.2     ,  5.2     ,  5.2     ,  5.2     ,\n         5.2     ,  5.2     ,  5.2     ,  5.2     ,  5.2     ,  5.2     ],\n       [11.078142, 11.078142, 11.078142, 11.078142, 11.078142, 11.078142,\n        11.078142, 11.078142, 11.078142, 11.078142, 11.078142, 11.078142],\n       [ 2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ,\n         2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ,  2.5351  ],\n       [ 9.516667,  9.516667,  9.516667,  9.516667,  9.516667,  9.516667,\n         9.516667,  9.516667,  9.516667,  9.516667,  9.516667,  9.516667]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_latitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">42.72 42.72 42.72 ... 59.2 59.2</div><input class=\"xr-var-attrs-in\" id=\"attrs-1fc6efb6-a559-48ee-9b26-339cdb329fa8\" type=\"checkbox\"/><label for=\"attrs-1fc6efb6-a559-48ee-9b26-339cdb329fa8\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-2238f906-05ea-4c80-9cff-dcc7b17291be\" type=\"checkbox\"/><label for=\"data-2238f906-05ea-4c80-9cff-dcc7b17291be\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>decimal degrees North</dd><dt><span>description :</span></dt><dd>Geodetic latitude of measuring instrument, in decimal degrees North, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 42.72056 ,  42.72056 ,  42.72056 ,  42.72056 ,  42.72056 ,\n         42.72056 ,  42.72056 ,  42.72056 ,  42.72056 ,  42.72056 ,\n         42.72056 ,  42.72056 ],\n       [ 43.43917 ,  43.43917 ,  43.43917 ,  43.43917 ,  43.43917 ,\n         43.43917 ,  43.43917 ,  43.43917 ,  43.43917 ,  43.43917 ,\n         43.43917 ,  43.43917 ],\n       [ 41.27417 ,  41.27417 ,  41.27417 ,  41.27417 ,  41.27417 ,\n         41.27417 ,  41.27417 ,  41.27417 ,  41.27417 ,  41.27417 ,\n         41.27417 ,  41.27417 ],\n       [ 42.31917 ,  42.31917 ,  42.31917 ,  42.31917 ,  42.31917 ,\n         42.31917 ,  42.31917 ,  42.31917 ,  42.31917 ,  42.31917 ,\n         42.31917 ,  42.31917 ],\n       [ 38.47278 ,  38.47278 ,  38.47278 ,  38.47278 ,  38.47278 ,\n         38.47278 ,  38.47278 ,  38.47278 ,  38.47278 ,  38.47278 ,\n         38.47278 ,  38.47278 ],\n       [ 39.08278 ,  39.08278 ,  39.08278 ,  39.08278 ,  39.08278 ,\n         39.08278 ,  39.08278 ,  39.08278 ,  39.08278 ,  39.08278 ,\n         39.08278 ,  39.08278 ],\n       [ 41.39389 ,  41.39389 ,  41.39389 ,  41.39389 ,  41.39389 ,\n         41.39389 ,  41.39389 ,  41.39389 ,  41.39389 ,  41.39389 ,\n...\n         78.90715 ,  78.90715 ,  78.90715 ,  78.90715 ,  78.90715 ,\n         78.90715 ,  78.90715 ],\n       [ 59.      ,  59.      ,  59.      ,  59.      ,  59.      ,\n         59.      ,  59.      ,  59.      ,  59.      ,  59.      ,\n         59.      ,  59.      ],\n       [ 69.45    ,  69.45    ,  69.45    ,  69.45    ,  69.45    ,\n         69.45    ,  69.45    ,  69.45    ,  69.45    ,  69.45    ,\n         69.45    ,  69.45    ],\n       [ 59.2     ,  59.2     ,  59.2     ,  59.2     ,  59.2     ,\n         59.2     ,  59.2     ,  59.2     ,  59.2     ,  59.2     ,\n         59.2     ,  59.2     ],\n       [ 60.372386,  60.372386,  60.372386,  60.372386,  60.372386,\n         60.372386,  60.372386,  60.372386,  60.372386,  60.372386,\n         60.372386,  60.372386],\n       [-72.0117  , -72.0117  , -72.0117  , -72.0117  , -72.0117  ,\n        -72.0117  , -72.0117  , -72.0117  , -72.0117  , -72.0117  ,\n        -72.0117  , -72.0117  ],\n       [ 59.2     ,  59.2     ,  59.2     ,  59.2     ,  59.2     ,\n         59.2     ,  59.2     ,  59.2     ,  59.2     ,  59.2     ,\n         59.2     ,  59.2     ]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U30</div><div class=\"xr-var-preview xr-preview\">'Noia' 'Noia' ... 'Haukenes'</div><input class=\"xr-var-attrs-in\" id=\"attrs-0bf909dd-6664-4374-bf90-2797b2ac7d44\" type=\"checkbox\"/><label for=\"attrs-0bf909dd-6664-4374-bf90-2797b2ac7d44\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-dc348c81-ed3a-4355-a53f-a51a346d9468\" type=\"checkbox\"/><label for=\"data-dc348c81-ed3a-4355-a53f-a51a346d9468\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station name</dd><dt><span>long_name :</span></dt><dd>station name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of station where the measurement was conducted.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Noia', 'Noia', 'Noia', 'Noia', 'Noia', 'Noia', 'Noia', 'Noia',\n        'Noia', 'Noia', 'Noia', 'Noia'],\n       ['Niembro', 'Niembro', 'Niembro', 'Niembro', 'Niembro', 'Niembro',\n        'Niembro', 'Niembro', 'Niembro', 'Niembro', 'Niembro', 'Niembro'],\n       ['Campisabalos', 'Campisabalos', 'Campisabalos', 'Campisabalos',\n        'Campisabalos', 'Campisabalos', 'Campisabalos', 'Campisabalos',\n        'Campisabalos', 'Campisabalos', 'Campisabalos', 'Campisabalos'],\n       ['Cabo de Creus', 'Cabo de Creus', 'Cabo de Creus',\n        'Cabo de Creus', 'Cabo de Creus', 'Cabo de Creus',\n        'Cabo de Creus', 'Cabo de Creus', 'Cabo de Creus',\n        'Cabo de Creus', 'Cabo de Creus', 'Cabo de Creus'],\n       ['Barcarrota', 'Barcarrota', 'Barcarrota', 'Barcarrota',\n        'Barcarrota', 'Barcarrota', 'Barcarrota', 'Barcarrota',\n        'Barcarrota', 'Barcarrota', 'Barcarrota', 'Barcarrota'],\n       ['Zarra', 'Zarra', 'Zarra', 'Zarra', 'Zarra', 'Zarra', 'Zarra',\n        'Zarra', 'Zarra', 'Zarra', 'Zarra', 'Zarra'],\n       ['Els Torms', 'Els Torms', 'Els Torms', 'Els Torms', 'Els Torms',\n        'Els Torms', 'Els Torms', 'Els Torms', 'Els Torms', 'Els Torms',\n        'Els Torms', 'Els Torms'],\n       ['Birkenes II', 'Birkenes II', 'Birkenes II', 'Birkenes II',\n...\n        'Zeppelin mountain (Ny-\u00c5lesund)',\n        'Zeppelin mountain (Ny-\u00c5lesund)',\n        'Zeppelin mountain (Ny-\u00c5lesund)',\n        'Zeppelin mountain (Ny-\u00c5lesund)',\n        'Zeppelin mountain (Ny-\u00c5lesund)'],\n       ['Prestebakke', 'Prestebakke', 'Prestebakke', 'Prestebakke',\n        'Prestebakke', 'Prestebakke', 'Prestebakke', 'Prestebakke',\n        'Prestebakke', 'Prestebakke', 'Prestebakke', 'Prestebakke'],\n       ['Svanvik', 'Svanvik', 'Svanvik', 'Svanvik', 'Svanvik', 'Svanvik',\n        'Svanvik', 'Svanvik', 'Svanvik', 'Svanvik', 'Svanvik', 'Svanvik'],\n       ['Sandve', 'Sandve', 'Sandve', 'Sandve', 'Sandve', 'Sandve',\n        'Sandve', 'Sandve', 'Sandve', 'Sandve', 'Sandve', 'Sandve'],\n       ['Hurdal', 'Hurdal', 'Hurdal', 'Hurdal', 'Hurdal', 'Hurdal',\n        'Hurdal', 'Hurdal', 'Hurdal', 'Hurdal', 'Hurdal', 'Hurdal'],\n       ['Trollhaugen', 'Trollhaugen', 'Trollhaugen', 'Trollhaugen',\n        'Trollhaugen', 'Trollhaugen', 'Trollhaugen', 'Trollhaugen',\n        'Trollhaugen', 'Trollhaugen', 'Trollhaugen', 'Trollhaugen'],\n       ['Haukenes', 'Haukenes', 'Haukenes', 'Haukenes', 'Haukenes',\n        'Haukenes', 'Haukenes', 'Haukenes', 'Haukenes', 'Haukenes',\n        'Haukenes', 'Haukenes']], dtype='&lt;U30')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">686.5 686.5 686.5 ... 20.0 20.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-7ac53008-8616-4561-a394-073d33046b92\" type=\"checkbox\"/><label for=\"attrs-7ac53008-8616-4561-a394-073d33046b92\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-5c1351f3-bb3e-4e5b-9144-098b858f74d9\" type=\"checkbox\"/><label for=\"data-5c1351f3-bb3e-4e5b-9144-098b858f74d9\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement altitude</dd><dt><span>long_name :</span></dt><dd>measurement altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the inlet/instrument/sampler, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 686.5,  686.5,  686.5,  686.5,  686.5,  686.5,  686.5,  686.5,\n         686.5,  686.5,  686.5,  686.5],\n       [ 137.5,  137.5,  137.5,  137.5,  137.5,  137.5,  137.5,  137.5,\n         137.5,  137.5,  137.5,  137.5],\n       [1363.5, 1363.5, 1363.5, 1363.5, 1363.5, 1363.5, 1363.5, 1363.5,\n        1363.5, 1363.5, 1363.5, 1363.5],\n       [  79.5,   79.5,   79.5,   79.5,   79.5,   79.5,   79.5,   79.5,\n          79.5,   79.5,   79.5,   79.5],\n       [ 396.5,  396.5,  396.5,  396.5,  396.5,  396.5,  396.5,  396.5,\n         396.5,  396.5,  396.5,  396.5],\n       [ 888.5,  888.5,  888.5,  888.5,  888.5,  888.5,  888.5,  888.5,\n         888.5,  888.5,  888.5,  888.5],\n       [ 473.5,  473.5,  473.5,  473.5,  473.5,  473.5,  473.5,  473.5,\n         473.5,  473.5,  473.5,  473.5],\n       [ 219. ,  219. ,  219. ,  219. ,  219. ,  219. ,  219. ,  219. ,\n         219. ,  219. ,  219. ,  219. ],\n       [ 439. ,  439. ,  439. ,  439. ,  439. ,  439. ,  439. ,  439. ,\n         439. ,  439. ,  439. ,  439. ],\n       [ 474. ,  474. ,  474. ,  474. ,  474. ,  474. ,  474. ,  474. ,\n         474. ,  474. ,  474. ,  474. ],\n       [ 160. ,  160. ,  160. ,  160. ,  160. ,  160. ,  160. ,  160. ,\n         160. ,  160. ,  160. ,  160. ],\n       [  30. ,   30. ,   30. ,   30. ,   30. ,   30. ,   30. ,   30. ,\n          30. ,   30. ,   30. ,   30. ],\n       [  15. ,   15. ,   15. ,   15. ,   15. ,   15. ,   15. ,   15. ,\n          15. ,   15. ,   15. ,   15. ],\n       [ 300. ,  300. ,  300. ,  300. ,  300. ,  300. ,  300. ,  300. ,\n         300. ,  300. ,  300. ,  300. ],\n       [1553. , 1553. , 1553. , 1553. , 1553. , 1553. , 1553. , 1553. ,\n        1553. , 1553. , 1553. , 1553. ],\n       [  20. ,   20. ,   20. ,   20. ,   20. ,   20. ,   20. ,   20. ,\n          20. ,   20. ,   20. ,   20. ]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_timezone</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'UTC' 'UTC' 'UTC' ... 'UTC' 'UTC'</div><input class=\"xr-var-attrs-in\" id=\"attrs-6eb89992-e951-4e56-a5ef-87343ad4d1ab\" type=\"checkbox\"/><label for=\"attrs-6eb89992-e951-4e56-a5ef-87343ad4d1ab\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1f6eb6e1-49f3-4aa7-aa35-187cacc25f33\" type=\"checkbox\"/><label for=\"data-1f6eb6e1-49f3-4aa7-aa35-187cacc25f33\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station timezone</dd><dt><span>long_name :</span></dt><dd>station timezone</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the local timezone that the measuring station is located in. This is automatically generated using Timezone Finder Python package (taking longitude and latitude as inputs).</dd></dl></div><div class=\"xr-var-data\"><pre>array([['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">683.0 683.0 683.0 ... 20.0 20.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-2a6fdf0f-e4b9-4ecf-b2a7-8bb633482654\" type=\"checkbox\"/><label for=\"attrs-2a6fdf0f-e4b9-4ecf-b2a7-8bb633482654\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ab135ba0-6662-44d3-ab2b-8f3b5a947096\" type=\"checkbox\"/><label for=\"data-ab135ba0-6662-44d3-ab2b-8f3b5a947096\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the ground level at the station, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 683.,  683.,  683.,  683.,  683.,  683.,  683.,  683.,  683.,\n         683.,  683.,  683.],\n       [ 134.,  134.,  134.,  134.,  134.,  134.,  134.,  134.,  134.,\n         134.,  134.,  134.],\n       [1360., 1360., 1360., 1360., 1360., 1360., 1360., 1360., 1360.,\n        1360., 1360., 1360.],\n       [  76.,   76.,   76.,   76.,   76.,   76.,   76.,   76.,   76.,\n          76.,   76.,   76.],\n       [ 393.,  393.,  393.,  393.,  393.,  393.,  393.,  393.,  393.,\n         393.,  393.,  393.],\n       [ 885.,  885.,  885.,  885.,  885.,  885.,  885.,  885.,  885.,\n         885.,  885.,  885.],\n       [ 470.,  470.,  470.,  470.,  470.,  470.,  470.,  470.,  470.,\n         470.,  470.,  470.],\n       [ 219.,  219.,  219.,  219.,  219.,  219.,  219.,  219.,  219.,\n         219.,  219.,  219.],\n       [ 439.,  439.,  439.,  439.,  439.,  439.,  439.,  439.,  439.,\n         439.,  439.,  439.],\n       [ 474.,  474.,  474.,  474.,  474.,  474.,  474.,  474.,  474.,\n         474.,  474.,  474.],\n       [ 160.,  160.,  160.,  160.,  160.,  160.,  160.,  160.,  160.,\n         160.,  160.,  160.],\n       [  30.,   30.,   30.,   30.,   30.,   30.,   30.,   30.,   30.,\n          30.,   30.,   30.],\n       [  15.,   15.,   15.,   15.,   15.,   15.,   15.,   15.,   15.,\n          15.,   15.,   15.],\n       [ 300.,  300.,  300.,  300.,  300.,  300.,  300.,  300.,  300.,\n         300.,  300.,  300.],\n       [1553., 1553., 1553., 1553., 1553., 1553., 1553., 1553., 1553.,\n        1553., 1553., 1553.],\n       [  20.,   20.,   20.,   20.,   20.,   20.,   20.,   20.,   20.,\n          20.,   20.,   20.]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_sampling_height</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">3.5 3.5 3.5 3.5 ... 0.0 0.0 0.0 0.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-d7768474-c285-497c-ac09-27d54ca1cfe3\" type=\"checkbox\"/><label for=\"attrs-d7768474-c285-497c-ac09-27d54ca1cfe3\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-cfa5b849-5c49-4cc9-9f47-234334d222de\" type=\"checkbox\"/><label for=\"data-cfa5b849-5c49-4cc9-9f47-234334d222de\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>sampling height</dd><dt><span>long_name :</span></dt><dd>sampling height relative to ground</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Height above the ground of the inlet/instrument/sampler, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5, 3.5],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ],\n       [0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. , 0. ]],\n      dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_level</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U1</div><div class=\"xr-var-preview xr-preview\">'2' '2' '2' '2' ... '2' '2' '2' '2'</div><input class=\"xr-var-attrs-in\" id=\"attrs-12908b00-29bd-4179-807c-5ebba5de9d82\" type=\"checkbox\"/><label for=\"attrs-12908b00-29bd-4179-807c-5ebba5de9d82\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a3d82d0b-9108-4a9b-8627-130a146db89f\" type=\"checkbox\"/><label for=\"data-a3d82d0b-9108-4a9b-8627-130a146db89f\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data level</dd><dt><span>long_name :</span></dt><dd>data level</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Data level of data reported. This varies per network. If data level is variable per measurement, and not static per reported file, then this is set as \"variable\". If there is no reported data level this is set as \"none\"</dd></dl></div><div class=\"xr-var-data\"><pre>array([['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2']],\n      dtype='&lt;U1')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_country</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U6</div><div class=\"xr-var-preview xr-preview\">'Spain' 'Spain' ... 'Norway'</div><input class=\"xr-var-attrs-in\" id=\"attrs-803bfda7-8cb4-4497-b4dd-2ef90534af85\" type=\"checkbox\"/><label for=\"attrs-803bfda7-8cb4-4497-b4dd-2ef90534af85\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-7f86fb82-3bc5-49b6-aadd-a878a19c2d5c\" type=\"checkbox\"/><label for=\"data-7f86fb82-3bc5-49b6-aadd-a878a19c2d5c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>country</dd><dt><span>long_name :</span></dt><dd>country</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the country the station is located in.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain', 'Spain',\n        'Spain', 'Spain', 'Spain', 'Spain', 'Spain'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway'],\n       ['Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway',\n        'Norway', 'Norway', 'Norway', 'Norway', 'Norway', 'Norway']],\n      dtype='&lt;U6')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_network</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-19c00d51-5545-4857-a426-9eb35e3e433a\" type=\"checkbox\"/><label for=\"attrs-19c00d51-5545-4857-a426-9eb35e3e433a\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-324ad23b-27f8-4720-adca-d07ff266a5a0\" type=\"checkbox\"/><label for=\"data-324ad23b-27f8-4720-adca-d07ff266a5a0\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>network</dd><dt><span>long_name :</span></dt><dd>data network</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>The name of the network which reports data for the specific station in question.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_associated_networks</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U37</div><div class=\"xr-var-preview xr-preview\">\"['EMEP']\" ... \"['NILU']\"</div><input class=\"xr-var-attrs-in\" id=\"attrs-905fcb52-a7c6-4a3c-b45a-8dde4ce555d0\" type=\"checkbox\"/><label for=\"attrs-905fcb52-a7c6-4a3c-b45a-8dde4ce555d0\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b5234b5f-4db8-4ddd-b31c-48733dbf7da0\" type=\"checkbox\"/><label for=\"data-b5234b5f-4db8-4ddd-b31c-48733dbf7da0\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>other associated networks</dd><dt><span>long_name :</span></dt><dd>other associated networks</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>String pair of associated network name and station reference. Format: network1:station_reference1;network2:station_reference2</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n...\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\"],\n       [\"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\"],\n       [\"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\"],\n       [\"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\",\n        \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\", \"['NILU', 'EMEP']\"],\n       [\"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\",\n        \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\",\n        \"['NILU']\", \"['NILU']\"],\n       [\"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\",\n        \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\", \"['NILU']\",\n        \"['NILU']\", \"['NILU']\"]], dtype='&lt;U37')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_land_use</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U16</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-cf690a8f-2ea2-4976-a608-b4c35201e274\" type=\"checkbox\"/><label for=\"attrs-cf690a8f-2ea2-4976-a608-b4c35201e274\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a4a8d28c-e34f-4f0c-979a-baa0f746f6de\" type=\"checkbox\"/><label for=\"data-a4a8d28c-e34f-4f0c-979a-baa0f746f6de\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>land use</dd><dt><span>long_name :</span></dt><dd>standardised network provided land use type</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised network provided classification, describing the dominant land use in the area of the reporting station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland', 'Grassland', 'Grassland', 'Grassland',\n        'Grassland', 'Grassland'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest',\n        'Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest'],\n       ['Agricultural', 'Agricultural', 'Agricultural', 'Agricultural',\n        'Agricultural', 'Agricultural', 'Agricultural', 'Agricultural',\n        'Agricultural', 'Agricultural', 'Agricultural', 'Agricultural'],\n       ['Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest',\n        'Forest', 'Forest', 'Forest', 'Forest', 'Forest', 'Forest'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['Snowfield', 'Snowfield', 'Snowfield', 'Snowfield', 'Snowfield',\n        'Snowfield', 'Snowfield', 'Snowfield', 'Snowfield', 'Snowfield',\n        'Snowfield', 'Snowfield'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U16')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_WMO_region</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U10</div><div class=\"xr-var-preview xr-preview\">'Europe' 'Europe' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-0afe730a-a7a1-4222-96e9-24cc40aee5a5\" type=\"checkbox\"/><label for=\"attrs-0afe730a-a7a1-4222-96e9-24cc40aee5a5\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-34c9a957-1c77-40fd-8233-ea44948e297e\" type=\"checkbox\"/><label for=\"data-34c9a957-1c77-40fd-8233-ea44948e297e\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>WMO region</dd><dt><span>long_name :</span></dt><dd>WMO region code</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>World Meteorological Organization (WMO) region of station. The available regions are: Africa, Asia, South America, \"Northern America, Central America and the Caribbean\", South-West Pacific, Europe and Antarctica.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['Antarctica', 'Antarctica', 'Antarctica', 'Antarctica',\n        'Antarctica', 'Antarctica', 'Antarctica', 'Antarctica',\n        'Antarctica', 'Antarctica', 'Antarctica', 'Antarctica'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U10')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_methodology</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ES04L_uv_abs' ... 'NO01L_uv_abs'</div><input class=\"xr-var-attrs-in\" id=\"attrs-bb4344e2-5c66-4607-9ab0-81d3abeed6aa\" type=\"checkbox\"/><label for=\"attrs-bb4344e2-5c66-4607-9ab0-81d3abeed6aa\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1ab71872-43aa-4c61-b05a-a396a7c9b93c\" type=\"checkbox\"/><label for=\"data-1ab71872-43aa-4c61-b05a-a396a7c9b93c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement methodology</dd><dt><span>long_name :</span></dt><dd>standardised measurement methodology</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measurement methodology.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs'],\n       ['ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n        'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs', 'ES04L_uv_abs',\n...\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs'],\n       ['NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs',\n        'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs', 'NO01L_uv_abs']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U13</div><div class=\"xr-var-preview xr-preview\">'Thermo/49i' ... 'Uv abs'</div><input class=\"xr-var-attrs-in\" id=\"attrs-cf6b688d-e4a2-4e28-9b8d-12bd56f3cf08\" type=\"checkbox\"/><label for=\"attrs-cf6b688d-e4a2-4e28-9b8d-12bd56f3cf08\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-2b85ead0-b985-41e5-b422-2ac6cc04cd70\" type=\"checkbox\"/><label for=\"data-2b85ead0-b985-41e5-b422-2ac6cc04cd70\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument name</dd><dt><span>long_name :</span></dt><dd>standardised measuring instrument name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400'],\n       ['Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400'],\n...\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs'],\n       ['Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs',\n        'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs', 'Uv abs']],\n      dtype='&lt;U13')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_sampling_type</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U38</div><div class=\"xr-var-preview xr-preview\">\"['ultra-violet fluorescence det...</div><input class=\"xr-var-attrs-in\" id=\"attrs-0a43d545-1a2f-473e-b6fd-6d3a3f269902\" type=\"checkbox\"/><label for=\"attrs-0a43d545-1a2f-473e-b6fd-6d3a3f269902\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ac78d2f5-00bd-4018-b900-11b2edd07341\" type=\"checkbox\"/><label for=\"data-ac78d2f5-00bd-4018-b900-11b2edd07341\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument sampling type</dd><dt><span>long_name :</span></dt><dd>standardised sampling type of the measuring instrument</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument sampling type.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n...\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"]], dtype='&lt;U38')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_inlet_information</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-3da11b7b-5c2d-4ad2-8855-cdf784a215ce\" type=\"checkbox\"/><label for=\"attrs-3da11b7b-5c2d-4ad2-8855-cdf784a215ce\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a807a0aa-c0bd-4309-802f-33d1fd7645b9\" type=\"checkbox\"/><label for=\"data-a807a0aa-c0bd-4309-802f-33d1fd7645b9\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument inlet information</dd><dt><span>long_name :</span></dt><dd>measuring instrument measurement inlet information</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Description of sampling inlet of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U63</div><div class=\"xr-var-preview xr-preview\">'Jose Antonio Fernandez Monistro...</div><input class=\"xr-var-attrs-in\" id=\"attrs-8dc17851-5123-4157-8d07-74780a45d5c1\" type=\"checkbox\"/><label for=\"attrs-8dc17851-5123-4157-8d07-74780a45d5c1\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-91cf082b-5ba2-4956-b541-a0ebe0c4f9b6\" type=\"checkbox\"/><label for=\"data-91cf082b-5ba2-4956-b541-a0ebe0c4f9b6\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator name</dd><dt><span>long_name :</span></dt><dd>principal investigator name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez'],\n       ['Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n...\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas']],\n      dtype='&lt;U63')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-e2a8e898-7375-45b3-b0b3-2e38365decf3\" type=\"checkbox\"/><label for=\"attrs-e2a8e898-7375-45b3-b0b3-2e38365decf3\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1fc49275-5314-4202-9091-77488b6b8d13\" type=\"checkbox\"/><label for=\"data-1fc49275-5314-4202-9091-77488b6b8d13\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator institution</dd><dt><span>long_name :</span></dt><dd>principal investigator institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-fcd48386-ba5c-4add-a4bd-885ec4d3d290\" type=\"checkbox\"/><label for=\"attrs-fcd48386-ba5c-4add-a4bd-885ec4d3d290\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-69927df5-8ea5-4353-8487-9de9ca92bd97\" type=\"checkbox\"/><label for=\"data-69927df5-8ea5-4353-8487-9de9ca92bd97\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator email address</dd><dt><span>long_name :</span></dt><dd>principal investigator email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n...\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U63</div><div class=\"xr-var-preview xr-preview\">'Jose Antonio Fernandez Monistro...</div><input class=\"xr-var-attrs-in\" id=\"attrs-9cb39e96-8433-4ee1-934b-0ce417f68adb\" type=\"checkbox\"/><label for=\"attrs-9cb39e96-8433-4ee1-934b-0ce417f68adb\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-52a4177e-9c66-498e-9d1e-25219c556800\" type=\"checkbox\"/><label for=\"data-52a4177e-9c66-498e-9d1e-25219c556800\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact name</dd><dt><span>long_name :</span></dt><dd>contact name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez'],\n       ['Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n        'Jose Antonio Fernandez Monistrol, Jose Luis Cervantes Rodriguez',\n...\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas',\n        'Kjetil T\u00f8rseth, Wenche Aas', 'Kjetil T\u00f8rseth, Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas'],\n       ['Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas',\n        'Wenche Aas', 'Wenche Aas', 'Wenche Aas', 'Wenche Aas']],\n      dtype='&lt;U63')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-5389fbd4-b8f8-42df-9603-dca9fc1d9ae6\" type=\"checkbox\"/><label for=\"attrs-5389fbd4-b8f8-42df-9603-dca9fc1d9ae6\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-3e51dfb5-f75b-43e7-a3f5-8461de5e8980\" type=\"checkbox\"/><label for=\"data-3e51dfb5-f75b-43e7-a3f5-8461de5e8980\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact institution</dd><dt><span>long_name :</span></dt><dd>contact institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-59562651-20a8-4024-aeb7-bcb1486624ab\" type=\"checkbox\"/><label for=\"attrs-59562651-20a8-4024-aeb7-bcb1486624ab\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-bad3e433-9f2e-4711-91d1-7562b47c5503\" type=\"checkbox\"/><label for=\"data-bad3e433-9f2e-4711-91d1-7562b47c5503\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact email address</dd><dt><span>long_name :</span></dt><dd>contact email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n...\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_licence</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-a0d66c5a-c2b7-4a6e-bd82-10f34e6fa579\" type=\"checkbox\"/><label for=\"attrs-a0d66c5a-c2b7-4a6e-bd82-10f34e6fa579\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ffdb86d6-c5f8-4684-9e3e-daa45bd82777\" type=\"checkbox\"/><label for=\"data-ffdb86d6-c5f8-4684-9e3e-daa45bd82777\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data licence</dd><dt><span>long_name :</span></dt><dd>data licence</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Information pertaining to the data licence governing the redistribution/publication of the ingested network data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_doi</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'pu8v' 'pu8v' ... '8MFA' '8MFA'</div><input class=\"xr-var-attrs-in\" id=\"attrs-cca9566f-d20c-45c5-a510-1f81d8c60a46\" type=\"checkbox\"/><label for=\"attrs-cca9566f-d20c-45c5-a510-1f81d8c60a46\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-4dae5117-8a80-4118-b217-95383fd7e932\" type=\"checkbox\"/><label for=\"data-4dae5117-8a80-4118-b217-95383fd7e932\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>DOI</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Digital identifier of an object.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['pu8v', 'pu8v', 'pu8v', 'pu8v', 'pu8v', 'pu8v', 'pu8v', 'pu8v',\n        'pu8v', 'pu8v', 'pu8v', 'pu8v'],\n       ['brsn', 'brsn', 'brsn', 'brsn', 'brsn', 'brsn', 'brsn', 'brsn',\n        'brsn', 'brsn', 'brsn', 'brsn'],\n       ['23j8', '23j8', '23j8', '23j8', '23j8', '23j8', '23j8', '23j8',\n        '23j8', '23j8', '23j8', '23j8'],\n       ['84gw', '84gw', '84gw', '84gw', '84gw', '84gw', '84gw', '84gw',\n        '84gw', '84gw', '84gw', '84gw'],\n       ['c11c', 'c11c', 'c11c', 'c11c', 'c11c', 'c11c', 'c11c', 'c11c',\n        'c11c', 'c11c', 'c11c', 'c11c'],\n       ['8llf', '8llf', '8llf', '8llf', '8llf', '8llf', '8llf', '8llf',\n        '8llf', '8llf', '8llf', '8llf'],\n       ['dgvq', 'dgvq', 'dgvq', 'dgvq', 'dgvq', 'dgvq', 'dgvq', 'dgvq',\n        'dgvq', 'dgvq', 'dgvq', 'dgvq'],\n       ['9cxe', '9cxe', '9cxe', '9cxe', '9cxe', '9cxe', '9cxe', '9cxe',\n        '9cxe', '9cxe', '9cxe', '9cxe'],\n       ['azm0', 'azm0', 'azm0', 'azm0', 'azm0', 'azm0', 'azm0', 'azm0',\n        'azm0', 'azm0', 'azm0', 'azm0'],\n       ['w2kl', 'w2kl', 'w2kl', 'w2kl', 'w2kl', 'w2kl', 'w2kl', 'w2kl',\n        'w2kl', 'w2kl', 'w2kl', 'w2kl'],\n       ['dmch', 'dmch', 'dmch', 'dmch', 'dmch', 'dmch', 'dmch', 'dmch',\n        'dmch', 'dmch', 'dmch', 'dmch'],\n       ['4xxq', '4xxq', '4xxq', '4xxq', '4xxq', '4xxq', '4xxq', '4xxq',\n        '4xxq', '4xxq', '4xxq', '4xxq'],\n       ['07oj', '07oj', '07oj', '07oj', '07oj', '07oj', '07oj', '07oj',\n        '07oj', '07oj', '07oj', '07oj'],\n       ['4at2', '4at2', '4at2', '4at2', '4at2', '4at2', '4at2', '4at2',\n        '4at2', '4at2', '4at2', '4at2'],\n       ['x2ve', 'x2ve', 'x2ve', 'x2ve', 'x2ve', 'x2ve', 'x2ve', 'x2ve',\n        'x2ve', 'x2ve', 'x2ve', 'x2ve'],\n       ['8MFA', '8MFA', '8MFA', '8MFA', '8MFA', '8MFA', '8MFA', '8MFA',\n        '8MFA', '8MFA', '8MFA', '8MFA']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_actris_national_facility</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U5</div><div class=\"xr-var-preview xr-preview\">'False' 'False' ... 'False' 'False'</div><input class=\"xr-var-attrs-in\" id=\"attrs-6728d3cc-dcca-4974-a6f8-f9f19b75803b\" type=\"checkbox\"/><label for=\"attrs-6728d3cc-dcca-4974-a6f8-f9f19b75803b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-592dbd01-23f5-4aaa-9518-4ac41fe3236e\" type=\"checkbox\"/><label for=\"data-592dbd01-23f5-4aaa-9518-4ac41fe3236e\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ACTRIS national facility</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>ACTRIS national facility.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['True', 'True', 'True', 'True', 'True', 'True', 'True', 'True',\n        'True', 'True', 'True', 'True'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False']], dtype='&lt;U5')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-dd7ba6d0-7747-48e3-a11f-26141aad143a\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-dd7ba6d0-7747-48e3-a11f-26141aad143a\">Attributes: <span>(3)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>title :</span></dt><dd>Saved data from Providentia</dd><dt><span>institution :</span></dt><dd>Barcelona Supercomputing Center</dd><dt><span>source :</span></dt><dd>Providentia</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=a2b183b5-0853-4f3a-a5a9-940f73b5c552\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[23]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'map-Median'</span><span class=\"p\">,</span> <span class=\"n\">map_extent</span><span class=\"o\">=</span><span class=\"p\">[</span><span class=\"o\">-</span><span class=\"mi\">10</span><span class=\"p\">,</span> <span class=\"mi\">10</span><span class=\"p\">,</span> <span class=\"mi\">42</span><span class=\"p\">,</span> <span class=\"mi\">60</span><span class=\"p\">])</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\nWarning: No specific data labels set, plotting first available data label: Ozone Mass Concentration.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=e0653966-3cbe-4bd2-90c6-9d95a1a325f3\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"By-altitude\">By altitude<a class=\"anchor-link\" href=\"#By-altitude\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=abaef21b-64f7-4b9b-a6a4-678cf70b8a20\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<p>Now we reset the filters, and filter by altitudes of at least 2000m.</p>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=f7180ea9-a2ce-4c6c-b9ce-7731582e99cc\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[24]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"c1\"># filter data by station altitude</span>\n<span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">reset</span><span class=\"p\">()</span>\n<span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">filter</span><span class=\"p\">(</span><span class=\"s1\">'altitude'</span><span class=\"p\">,</span> <span class=\"n\">lower</span><span class=\"o\">=</span><span class=\"mi\">2000</span><span class=\"p\">)</span>\n<span class=\"n\">stations_data</span> <span class=\"o\">=</span> <span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">data</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'xr'</span><span class=\"p\">)</span>\n<span class=\"n\">stations_data</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Resetting all data filters.\nFiltering data\nFiltering data\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[24]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n</symbol>\n</defs>\n</svg>\n<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n\n:root {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base rgba(0, 0, 0, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, white)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n  );\n}\n\nhtml[theme=\"dark\"],\nhtml[data-theme=\"dark\"],\nbody[data-theme=\"dark\"],\nbody.vscode-dark {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, #111111)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n  );\n}\n\n.xr-wrap {\n  display: block !important;\n  min-width: 300px;\n  max-width: 700px;\n  line-height: 1.6;\n}\n\n.xr-text-repr-fallback {\n  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n  display: none;\n}\n\n.xr-header {\n  padding-top: 6px;\n  padding-bottom: 6px;\n  margin-bottom: 4px;\n  border-bottom: solid 1px var(--xr-border-color);\n}\n\n.xr-header > div,\n.xr-header > ul {\n  display: inline;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.xr-obj-type,\n.xr-obj-name,\n.xr-group-name {\n  margin-left: 2px;\n  margin-right: 10px;\n}\n\n.xr-group-name::before {\n  content: \"\ud83d\udcc1\";\n  padding-right: 0.3em;\n}\n\n.xr-group-name,\n.xr-obj-type {\n  color: var(--xr-font-color2);\n}\n\n.xr-sections {\n  padding-left: 0 !important;\n  display: grid;\n  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n  margin-block-start: 0;\n  margin-block-end: 0;\n}\n\n.xr-section-item {\n  display: contents;\n}\n\n.xr-section-item input {\n  display: inline-block;\n  opacity: 0;\n  height: 0;\n  margin: 0;\n}\n\n.xr-section-item input + label {\n  color: var(--xr-disabled-color);\n  border: 2px solid transparent !important;\n}\n\n.xr-section-item input:enabled + label {\n  cursor: pointer;\n  color: var(--xr-font-color2);\n}\n\n.xr-section-item input:focus + label {\n  border: 2px solid var(--xr-font-color0) !important;\n}\n\n.xr-section-item input:enabled + label:hover {\n  color: var(--xr-font-color0);\n}\n\n.xr-section-summary {\n  grid-column: 1;\n  color: var(--xr-font-color2);\n  font-weight: 500;\n}\n\n.xr-section-summary > span {\n  display: inline-block;\n  padding-left: 0.5em;\n}\n\n.xr-section-summary-in:disabled + label {\n  color: var(--xr-font-color2);\n}\n\n.xr-section-summary-in + label:before {\n  display: inline-block;\n  content: \"\u25ba\";\n  font-size: 11px;\n  width: 15px;\n  text-align: center;\n}\n\n.xr-section-summary-in:disabled + label:before {\n  color: var(--xr-disabled-color);\n}\n\n.xr-section-summary-in:checked + label:before {\n  content: \"\u25bc\";\n}\n\n.xr-section-summary-in:checked + label > span {\n  display: none;\n}\n\n.xr-section-summary,\n.xr-section-inline-details {\n  padding-top: 4px;\n}\n\n.xr-section-inline-details {\n  grid-column: 2 / -1;\n}\n\n.xr-section-details {\n  display: none;\n  grid-column: 1 / -1;\n  margin-top: 4px;\n  margin-bottom: 5px;\n}\n\n.xr-section-summary-in:checked ~ .xr-section-details {\n  display: contents;\n}\n\n.xr-group-box {\n  display: inline-grid;\n  grid-template-columns: 0px 20px auto;\n  width: 100%;\n}\n\n.xr-group-box-vline {\n  grid-column-start: 1;\n  border-right: 0.2em solid;\n  border-color: var(--xr-border-color);\n  width: 0px;\n}\n\n.xr-group-box-hline {\n  grid-column-start: 2;\n  grid-row-start: 1;\n  height: 1em;\n  width: 20px;\n  border-bottom: 0.2em solid;\n  border-color: var(--xr-border-color);\n}\n\n.xr-group-box-contents {\n  grid-column-start: 3;\n}\n\n.xr-array-wrap {\n  grid-column: 1 / -1;\n  display: grid;\n  grid-template-columns: 20px auto;\n}\n\n.xr-array-wrap > label {\n  grid-column: 1;\n  vertical-align: top;\n}\n\n.xr-preview {\n  color: var(--xr-font-color3);\n}\n\n.xr-array-preview,\n.xr-array-data {\n  padding: 0 5px !important;\n  grid-column: 2;\n}\n\n.xr-array-data,\n.xr-array-in:checked ~ .xr-array-preview {\n  display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.Dataset&gt; Size: 221kB\nDimensions:                                                       (\n                                                                   data_label: 1,\n                                                                   station_actris_actris|sconco3: 3,\n                                                                   time: 8784,\n                                                                   month: 12)\nCoordinates:\n  * time                                                          (time) datetime64[ns] 70kB ...\nDimensions without coordinates: data_label, station_actris_actris|sconco3, month\nData variables: (12/29)\n    data_labels                                                   (data_label) &lt;U24 96B ...\n    actris_actris|sconco3_data                                    (data_label, station_actris_actris|sconco3, time) float32 105kB ...\n    actris_actris|sconco3_station_reference                       (station_actris_actris|sconco3, month) &lt;U7 1kB ...\n    actris_actris|sconco3_longitude                               (station_actris_actris|sconco3, month) float64 288B ...\n    actris_actris|sconco3_latitude                                (station_actris_actris|sconco3, month) float64 288B ...\n    actris_actris|sconco3_station_name                            (station_actris_actris|sconco3, month) &lt;U9 1kB ...\n    ...                                                            ...\n    actris_actris|sconco3_contact_name                            (station_actris_actris|sconco3, month) &lt;U56 8kB ...\n    actris_actris|sconco3_contact_institution                     (station_actris_actris|sconco3, month) &lt;U4 576B ...\n    actris_actris|sconco3_contact_email_address                   (station_actris_actris|sconco3, month) &lt;U12 2kB ...\n    actris_actris|sconco3_data_licence                            (station_actris_actris|sconco3, month) &lt;U3 432B ...\n    actris_actris|sconco3_doi                                     (station_actris_actris|sconco3, month) &lt;U4 576B ...\n    actris_actris|sconco3_actris_national_facility                (station_actris_actris|sconco3, month) &lt;U5 720B ...\nAttributes:\n    title:        Saved data from Providentia\n    institution:  Barcelona Supercomputing Center\n    source:       Providentia</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.Dataset</div></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" disabled=\"\" id=\"section-ecb66da0-83b6-4d1f-8152-d73d9ee1ced8\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-ecb66da0-83b6-4d1f-8152-d73d9ee1ced8\" title=\"Expand/collapse section\">Dimensions:</label><div class=\"xr-section-inline-details\"><ul class=\"xr-dim-list\"><li><span>data_label</span>: 1</li><li><span>station_actris_actris|sconco3</span>: 3</li><li><span class=\"xr-has-index\">time</span>: 8784</li><li><span>month</span>: 12</li></ul></div><div class=\"xr-section-details\"></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-9c79d34c-fcbe-42c5-ac0b-43eda056a2eb\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-9c79d34c-fcbe-42c5-ac0b-43eda056a2eb\">Coordinates: <span>(1)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span class=\"xr-has-index\">time</span></div><div class=\"xr-var-dims\">(time)</div><div class=\"xr-var-dtype\">datetime64[ns]</div><div class=\"xr-var-preview xr-preview\">2024-01-01 ... 2024-12-31T23:00:00</div><input class=\"xr-var-attrs-in\" id=\"attrs-6fa2ec52-f8ee-4ca8-bd91-d5c9b6020717\" type=\"checkbox\"/><label for=\"attrs-6fa2ec52-f8ee-4ca8-bd91-d5c9b6020717\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-faacd80c-877e-447a-82b1-3acd70a8946a\" type=\"checkbox\"/><label for=\"data-faacd80c-877e-447a-82b1-3acd70a8946a\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Time in hours since 2024-01-01 00:00 UTC. Time given refers to the start of the time window the measurement is representative of (temporal resolution).</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>tz :</span></dt><dd>UTC</dd></dl></div><div class=\"xr-var-data\"><pre>array(['2024-01-01T00:00:00.000000000', '2024-01-01T01:00:00.000000000',\n       '2024-01-01T02:00:00.000000000', ..., '2024-12-31T21:00:00.000000000',\n       '2024-12-31T22:00:00.000000000', '2024-12-31T23:00:00.000000000'],\n      shape=(8784,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" id=\"section-e98dff0b-0c12-4d72-9b98-5ac24120107b\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-e98dff0b-0c12-4d72-9b98-5ac24120107b\">Data variables: <span>(29)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>data_labels</span></div><div class=\"xr-var-dims\">(data_label)</div><div class=\"xr-var-dtype\">&lt;U24</div><div class=\"xr-var-preview xr-preview\">'Ozone Mass Concentration'</div><input class=\"xr-var-attrs-in\" id=\"attrs-df1740d3-48d1-4113-ac0e-9255d55eb551\" type=\"checkbox\"/><label for=\"attrs-df1740d3-48d1-4113-ac0e-9255d55eb551\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a6ad9e41-e90c-4217-a842-cd381bed09c8\" type=\"checkbox\"/><label for=\"data-a6ad9e41-e90c-4217-a842-cd381bed09c8\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data_labels</dd><dt><span>long_name :</span></dt><dd>data_labels</dd><dt><span>description :</span></dt><dd>Labels associated with each data array, e.g. observations, model_1, etc.</dd></dl></div><div class=\"xr-var-data\"><pre>array(['Ozone Mass Concentration'], dtype='&lt;U24')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data</span></div><div class=\"xr-var-dims\">(data_label, station_actris_actris|sconco3, time)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">89.24 87.71 84.33 ... nan nan nan</div><input class=\"xr-var-attrs-in\" id=\"attrs-2c175a03-c0db-4c83-b2f4-613ec8a075db\" type=\"checkbox\"/><label for=\"attrs-2c175a03-c0db-4c83-b2f4-613ec8a075db\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-fb288fb0-70a0-4191-8e7d-1bbd382f2809\" type=\"checkbox\"/><label for=\"data-fb288fb0-70a0-4191-8e7d-1bbd382f2809\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ozone</dd><dt><span>long_name :</span></dt><dd>ozone</dd><dt><span>units :</span></dt><dd>nmol mol-1</dd><dt><span>description :</span></dt><dd>Measured value of surface ozone for the stated temporal resolution.</dd><dt><span>resolution :</span></dt><dd>hourly</dd><dt><span>resampling_resolution :</span></dt><dd>None</dd><dt><span>start_date :</span></dt><dd>20240101</dd><dt><span>end_date :</span></dt><dd>20250101</dd><dt><span>temporal_colocation :</span></dt><dd>True</dd><dt><span>spatial_colocation :</span></dt><dd>True</dd><dt><span>filter_species :</span></dt><dd>{}</dd><dt><span>forecast :</span></dt><dd>[]</dd><dt><span>calibration_factor :</span></dt><dd>{}</dd><dt><span>remove_extreme_stations :</span></dt><dd>None</dd><dt><span>statistic_mode :</span></dt><dd>Temporal|Spatial</dd><dt><span>statistic_aggregation :</span></dt><dd>Median</dd><dt><span>periodic_statistic_mode :</span></dt><dd>Independent</dd><dt><span>periodic_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>timeseries_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>spatial_colocation_tolerance :</span></dt><dd>19.053</dd><dt><span>spatial_colocation_station_reference :</span></dt><dd>True</dd><dt><span>spatial_colocation_station_name :</span></dt><dd>True</dd><dt><span>spatial_colocation_longitude_latitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_measurement_altitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation_tolerance :</span></dt><dd>10000.0</dd></dl></div><div class=\"xr-var-data\"><pre>array([[[ 89.2417,  87.7053,  84.3332, ..., 104.3065, 105.3242,\n         104.4263],\n        [ 47.489 ,  51.839 ,  51.959 , ...,  66.644 ,  62.394 ,\n          63.791 ],\n        [ 80.    ,  80.    ,      nan, ...,      nan,      nan,\n              nan]]], shape=(1, 3, 8784), dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_reference</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U7</div><div class=\"xr-var-preview xr-preview\">'AT0034G' 'AT0034G' ... 'SK0002R'</div><input class=\"xr-var-attrs-in\" id=\"attrs-9defe0a8-7ada-457c-84c2-3663b2634977\" type=\"checkbox\"/><label for=\"attrs-9defe0a8-7ada-457c-84c2-3663b2634977\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-c2bf578b-279f-4bc9-a1af-6e99f832b5f5\" type=\"checkbox\"/><label for=\"data-c2bf578b-279f-4bc9-a1af-6e99f832b5f5\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R',\n        'CL0001R', 'CL0001R', 'CL0001R', 'nan', 'CL0001R', 'CL0001R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R']],\n      dtype='&lt;U7')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_longitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">12.96 12.96 12.96 ... 19.58 19.58</div><input class=\"xr-var-attrs-in\" id=\"attrs-1826fb3e-be9a-4ef7-9ba6-201d51f37974\" type=\"checkbox\"/><label for=\"attrs-1826fb3e-be9a-4ef7-9ba6-201d51f37974\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-50f3a45d-c0ca-4043-8f49-e15cba90faf7\" type=\"checkbox\"/><label for=\"data-50f3a45d-c0ca-4043-8f49-e15cba90faf7\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>decimal degrees East</dd><dt><span>description :</span></dt><dd>Geodetic longitude of measuring instrument, in decimal degrees East, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 12.95794 ,  12.95794 ,  12.95794 ,  12.95794 ,  12.95794 ,\n         12.95794 ,  12.95794 ,  12.95794 ,  12.95794 ,  12.95794 ,\n         12.95794 ,  12.95794 ],\n       [-70.79923 , -70.79923 , -70.79923 , -70.79923 , -70.79923 ,\n        -70.79923 , -70.79923 , -70.79923 , -70.79923 ,        nan,\n        -70.79923 , -70.79923 ],\n       [ 19.583333,  19.583333,  19.583333,  19.583333,  19.583333,\n         19.583333,  19.583333,  19.583333,  19.583333,  19.583333,\n         19.583333,  19.583333]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_latitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">47.05 47.05 47.05 ... 48.93 48.93</div><input class=\"xr-var-attrs-in\" id=\"attrs-9286d62a-8e1f-49d3-998e-53af0426a52b\" type=\"checkbox\"/><label for=\"attrs-9286d62a-8e1f-49d3-998e-53af0426a52b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f22d796c-087a-4584-850a-3215bd94b514\" type=\"checkbox\"/><label for=\"data-f22d796c-087a-4584-850a-3215bd94b514\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>decimal degrees North</dd><dt><span>description :</span></dt><dd>Geodetic latitude of measuring instrument, in decimal degrees North, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class=\"xr-var-data\"><pre>array([[ 47.05407 ,  47.05407 ,  47.05407 ,  47.05407 ,  47.05407 ,\n         47.05407 ,  47.05407 ,  47.05407 ,  47.05407 ,  47.05407 ,\n         47.05407 ,  47.05407 ],\n       [-30.17254 , -30.17254 , -30.17254 , -30.17254 , -30.17254 ,\n        -30.17254 , -30.17254 , -30.17254 , -30.17254 ,        nan,\n        -30.17254 , -30.17254 ],\n       [ 48.933333,  48.933333,  48.933333,  48.933333,  48.933333,\n         48.933333,  48.933333,  48.933333,  48.933333,  48.933333,\n         48.933333,  48.933333]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U9</div><div class=\"xr-var-preview xr-preview\">'Sonnblick' ... 'Chopok'</div><input class=\"xr-var-attrs-in\" id=\"attrs-7ac55d97-6fb8-48a8-bf04-2eb6ce8af592\" type=\"checkbox\"/><label for=\"attrs-7ac55d97-6fb8-48a8-bf04-2eb6ce8af592\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a516ae61-105a-40ca-ba86-31656d361904\" type=\"checkbox\"/><label for=\"data-a516ae61-105a-40ca-ba86-31656d361904\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station name</dd><dt><span>long_name :</span></dt><dd>station name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of station where the measurement was conducted.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick'],\n       ['El Tololo', 'El Tololo', 'El Tololo', 'El Tololo', 'El Tololo',\n        'El Tololo', 'El Tololo', 'El Tololo', 'El Tololo', 'nan',\n        'El Tololo', 'El Tololo'],\n       ['Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok',\n        'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok', 'Chopok']],\n      dtype='&lt;U9')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">3.116e+03 3.116e+03 ... 2.008e+03</div><input class=\"xr-var-attrs-in\" id=\"attrs-aa73ee9b-69bd-4c00-b86d-00f568742521\" type=\"checkbox\"/><label for=\"attrs-aa73ee9b-69bd-4c00-b86d-00f568742521\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-96129d99-b16e-4aa8-8380-3d7c34c4d6ce\" type=\"checkbox\"/><label for=\"data-96129d99-b16e-4aa8-8380-3d7c34c4d6ce\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement altitude</dd><dt><span>long_name :</span></dt><dd>measurement altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the inlet/instrument/sampler, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[3116., 3116., 3116., 3116., 3116., 3116., 3116., 3116., 3116.,\n        3116., 3116., 3116.],\n       [2225., 2225., 2225., 2225., 2225., 2225., 2225., 2225., 2225.,\n          nan, 2225., 2225.],\n       [2008., 2008., 2008., 2008., 2008., 2008., 2008., 2008., 2008.,\n        2008., 2008., 2008.]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_timezone</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'UTC' 'UTC' 'UTC' ... 'UTC' 'UTC'</div><input class=\"xr-var-attrs-in\" id=\"attrs-4fa70c3d-158f-448d-afa9-cfb0685fc342\" type=\"checkbox\"/><label for=\"attrs-4fa70c3d-158f-448d-afa9-cfb0685fc342\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-e347084c-280f-43dd-9193-6c58517cf166\" type=\"checkbox\"/><label for=\"data-e347084c-280f-43dd-9193-6c58517cf166\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station timezone</dd><dt><span>long_name :</span></dt><dd>station timezone</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the local timezone that the measuring station is located in. This is automatically generated using Timezone Finder Python package (taking longitude and latitude as inputs).</dd></dl></div><div class=\"xr-var-data\"><pre>array([['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'nan', 'UTC', 'UTC'],\n       ['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">3.106e+03 3.106e+03 ... 2.008e+03</div><input class=\"xr-var-attrs-in\" id=\"attrs-c03e19ba-ef2f-42f2-a83e-bb69ecf939f9\" type=\"checkbox\"/><label for=\"attrs-c03e19ba-ef2f-42f2-a83e-bb69ecf939f9\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b7e8d063-218a-46f6-95ef-20ef4c3f390d\" type=\"checkbox\"/><label for=\"data-b7e8d063-218a-46f6-95ef-20ef4c3f390d\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the ground level at the station, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[3106., 3106., 3106., 3106., 3106., 3106., 3106., 3106., 3106.,\n        3106., 3106., 3106.],\n       [2220., 2220., 2220., 2220., 2220., 2220., 2220., 2220., 2220.,\n          nan, 2220., 2220.],\n       [2008., 2008., 2008., 2008., 2008., 2008., 2008., 2008., 2008.,\n        2008., 2008., 2008.]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_sampling_height</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">10.0 10.0 10.0 10.0 ... 0.0 0.0 0.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-4feca667-58d7-463e-9ecf-b0d1d71cb933\" type=\"checkbox\"/><label for=\"attrs-4feca667-58d7-463e-9ecf-b0d1d71cb933\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-07f5084f-7427-4910-bf0a-28b3083d585f\" type=\"checkbox\"/><label for=\"data-07f5084f-7427-4910-bf0a-28b3083d585f\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>sampling height</dd><dt><span>long_name :</span></dt><dd>sampling height relative to ground</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Height above the ground of the inlet/instrument/sampler, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10.],\n       [ 5.,  5.,  5.,  5.,  5.,  5.,  5.,  5.,  5., nan,  5.,  5.],\n       [ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]],\n      dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_level</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'2' '2' '2' '2' ... '2' '2' '2' '2'</div><input class=\"xr-var-attrs-in\" id=\"attrs-bd32e02a-6882-4171-9cd3-404d4db43a8f\" type=\"checkbox\"/><label for=\"attrs-bd32e02a-6882-4171-9cd3-404d4db43a8f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-943e4879-200f-4c6a-a621-3f2ce1b3b1b8\" type=\"checkbox\"/><label for=\"data-943e4879-200f-4c6a-a621-3f2ce1b3b1b8\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data level</dd><dt><span>long_name :</span></dt><dd>data level</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Data level of data reported. This varies per network. If data level is variable per measurement, and not static per reported file, then this is set as \"variable\". If there is no reported data level this is set as \"none\"</dd></dl></div><div class=\"xr-var-data\"><pre>array([['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', 'nan', '2', '2'],\n       ['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2']],\n      dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_country</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U8</div><div class=\"xr-var-preview xr-preview\">'Austria' 'Austria' ... 'Slovakia'</div><input class=\"xr-var-attrs-in\" id=\"attrs-a9d1f607-ba8b-4a96-8f98-f17d70567829\" type=\"checkbox\"/><label for=\"attrs-a9d1f607-ba8b-4a96-8f98-f17d70567829\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-aa85ed84-b7a4-493a-8d87-bf87254c8ec4\" type=\"checkbox\"/><label for=\"data-aa85ed84-b7a4-493a-8d87-bf87254c8ec4\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>country</dd><dt><span>long_name :</span></dt><dd>country</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the country the station is located in.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria'],\n       ['Chile', 'Chile', 'Chile', 'Chile', 'Chile', 'Chile', 'Chile',\n        'Chile', 'Chile', 'nan', 'Chile', 'Chile'],\n       ['Slovakia', 'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia',\n        'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia', 'Slovakia',\n        'Slovakia', 'Slovakia']], dtype='&lt;U8')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_network</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-f4ffe2a9-4a32-4401-9703-e6078b7c2107\" type=\"checkbox\"/><label for=\"attrs-f4ffe2a9-4a32-4401-9703-e6078b7c2107\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-d1b0009d-04b1-48ff-8d6a-b479a2207386\" type=\"checkbox\"/><label for=\"data-d1b0009d-04b1-48ff-8d6a-b479a2207386\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>network</dd><dt><span>long_name :</span></dt><dd>data network</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>The name of the network which reports data for the specific station in question.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_associated_networks</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U21</div><div class=\"xr-var-preview xr-preview\">\"['EMEP', 'GAW-WDCRG']\" ... \"['E...</div><input class=\"xr-var-attrs-in\" id=\"attrs-fd15d165-b81f-4182-8eef-a8b41f9f460d\" type=\"checkbox\"/><label for=\"attrs-fd15d165-b81f-4182-8eef-a8b41f9f460d\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-2c54ac41-2dff-4c7e-88fb-346203b5e43a\" type=\"checkbox\"/><label for=\"data-2c54ac41-2dff-4c7e-88fb-346203b5e43a\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>other associated networks</dd><dt><span>long_name :</span></dt><dd>other associated networks</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>String pair of associated network name and station reference. Format: network1:station_reference1;network2:station_reference2</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\"],\n       [\"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\",\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", \"['GAW-WDCRG']\", 'nan',\n        \"['GAW-WDCRG']\", \"['GAW-WDCRG']\"],\n       [\"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\", \"['EMEP']\",\n        \"['EMEP']\", \"['EMEP']\"]], dtype='&lt;U21')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_land_use</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U16</div><div class=\"xr-var-preview xr-preview\">'Gravel and stone' ... 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-a847f737-f386-4a86-9676-ee514b48a086\" type=\"checkbox\"/><label for=\"attrs-a847f737-f386-4a86-9676-ee514b48a086\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-a588343e-97d3-4127-bbd6-18506b062a51\" type=\"checkbox\"/><label for=\"data-a588343e-97d3-4127-bbd6-18506b062a51\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>land use</dd><dt><span>long_name :</span></dt><dd>standardised network provided land use type</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised network provided classification, describing the dominant land use in the area of the reporting station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone'],\n       ['Desert', 'Desert', 'Desert', 'Desert', 'Desert', 'Desert',\n        'Desert', 'Desert', 'Desert', 'nan', 'Desert', 'Desert'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U16')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_WMO_region</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U13</div><div class=\"xr-var-preview xr-preview\">'Europe' 'Europe' ... 'Europe'</div><input class=\"xr-var-attrs-in\" id=\"attrs-0c4eef9b-0e86-400c-bb34-493427c51020\" type=\"checkbox\"/><label for=\"attrs-0c4eef9b-0e86-400c-bb34-493427c51020\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-8d90ca8c-9c07-420a-a0f6-c56ff3b98600\" type=\"checkbox\"/><label for=\"data-8d90ca8c-9c07-420a-a0f6-c56ff3b98600\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>WMO region</dd><dt><span>long_name :</span></dt><dd>WMO region code</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>World Meteorological Organization (WMO) region of station. The available regions are: Africa, Asia, South America, \"Northern America, Central America and the Caribbean\", South-West Pacific, Europe and Antarctica.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe'],\n       ['South America', 'South America', 'South America',\n        'South America', 'South America', 'South America',\n        'South America', 'South America', 'South America', 'nan',\n        'South America', 'South America'],\n       ['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe']],\n      dtype='&lt;U13')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_methodology</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'AT03L_uv_ab' ... 'SK01L_uv_abs'</div><input class=\"xr-var-attrs-in\" id=\"attrs-8f71e6ad-cd3f-4927-aad6-9d3588d49bd6\" type=\"checkbox\"/><label for=\"attrs-8f71e6ad-cd3f-4927-aad6-9d3588d49bd6\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-13835fb4-d13f-49ca-aca1-6a15b6853a8b\" type=\"checkbox\"/><label for=\"data-13835fb4-d13f-49ca-aca1-6a15b6853a8b\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement methodology</dd><dt><span>long_name :</span></dt><dd>standardised measurement methodology</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measurement methodology.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab',\n        'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab',\n        'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab'],\n       ['CL01L_uv_abs', 'CL01L_uv_abs', 'CL01L_uv_abs', 'CL01L_uv_abs',\n        'CL01L_uv_abs', 'CL01L_uv_abs', 'CL01L_uv_abs', 'CL01L_uv_abs',\n        'CL01L_uv_abs', 'nan', 'CL01L_uv_abs', 'CL01L_uv_abs'],\n       ['SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs',\n        'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs',\n        'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs', 'SK01L_uv_abs']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U13</div><div class=\"xr-var-preview xr-preview\">'Thermo/49i' ... 'Teledyne/T400'</div><input class=\"xr-var-attrs-in\" id=\"attrs-5e6e4284-0c04-4c29-bdc0-1500ac4f24a1\" type=\"checkbox\"/><label for=\"attrs-5e6e4284-0c04-4c29-bdc0-1500ac4f24a1\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-d1006d6a-f99a-4f1c-88d7-5bc20e0b8e16\" type=\"checkbox\"/><label for=\"data-d1006d6a-f99a-4f1c-88d7-5bc20e0b8e16\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument name</dd><dt><span>long_name :</span></dt><dd>standardised measuring instrument name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i'],\n       ['Thermo/49C', 'Thermo/49C', 'Thermo/49C', 'Thermo/49C',\n        'Thermo/49C', 'Thermo/49C', 'Thermo/49C', 'Thermo/49C',\n        'Thermo/49C', 'nan', 'Thermo/49C', 'Thermo/49C'],\n       ['Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400',\n        'Teledyne/T400', 'Teledyne/T400', 'Teledyne/T400']], dtype='&lt;U13')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_sampling_type</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U38</div><div class=\"xr-var-preview xr-preview\">\"['ultra-violet fluorescence det...</div><input class=\"xr-var-attrs-in\" id=\"attrs-f453dbba-7cab-438c-b9c5-7e52c218e76d\" type=\"checkbox\"/><label for=\"attrs-f453dbba-7cab-438c-b9c5-7e52c218e76d\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-d764334a-9293-4c99-a5fe-3a256fd58d5c\" type=\"checkbox\"/><label for=\"data-d764334a-9293-4c99-a5fe-3a256fd58d5c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument sampling type</dd><dt><span>long_name :</span></dt><dd>standardised sampling type of the measuring instrument</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument sampling type.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\", 'nan',\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"],\n       [\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"]], dtype='&lt;U38')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_inlet_information</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-43be6fe8-4b88-4bbd-8e97-f35410b4d0d4\" type=\"checkbox\"/><label for=\"attrs-43be6fe8-4b88-4bbd-8e97-f35410b4d0d4\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b4bb84fe-091b-4846-a0a9-653338b830de\" type=\"checkbox\"/><label for=\"data-b4bb84fe-091b-4846-a0a9-653338b830de\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument inlet information</dd><dt><span>long_name :</span></dt><dd>measuring instrument measurement inlet information</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Description of sampling inlet of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U56</div><div class=\"xr-var-preview xr-preview\">'Iris Buxbaum' ... 'Marta Mitosi...</div><input class=\"xr-var-attrs-in\" id=\"attrs-362607d3-10c0-4c6f-b1ec-a02f907e7743\" type=\"checkbox\"/><label for=\"attrs-362607d3-10c0-4c6f-b1ec-a02f907e7743\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-de77c2b2-9e27-4d60-80ed-311645da5348\" type=\"checkbox\"/><label for=\"data-de77c2b2-9e27-4d60-80ed-311645da5348\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator name</dd><dt><span>long_name :</span></dt><dd>principal investigator name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum'],\n       ['Gaston Torres', 'Gaston Torres', 'Gaston Torres',\n        'Gaston Torres', 'Gaston Torres', 'Gaston Torres',\n        'Gaston Torres', 'Gaston Torres', 'Gaston Torres', 'nan',\n        'Gaston Torres', 'Gaston Torres'],\n       ['Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky']],\n      dtype='&lt;U56')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-c1ab28d7-bc6a-4657-8ee2-b0a52d5d8e8f\" type=\"checkbox\"/><label for=\"attrs-c1ab28d7-bc6a-4657-8ee2-b0a52d5d8e8f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-067834db-d4cb-434c-a74f-ec9aea267e01\" type=\"checkbox\"/><label for=\"data-067834db-d4cb-434c-a74f-ec9aea267e01\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator institution</dd><dt><span>long_name :</span></dt><dd>principal investigator institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'nan', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-672b14d1-89b2-436f-be21-446fb7200e4b\" type=\"checkbox\"/><label for=\"attrs-672b14d1-89b2-436f-be21-446fb7200e4b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-68accb23-c34b-4552-b407-a1f008e620b4\" type=\"checkbox\"/><label for=\"data-68accb23-c34b-4552-b407-a1f008e620b4\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator email address</dd><dt><span>long_name :</span></dt><dd>principal investigator email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'nan', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U56</div><div class=\"xr-var-preview xr-preview\">'Iris Buxbaum' ... 'Marta Mitosi...</div><input class=\"xr-var-attrs-in\" id=\"attrs-3e409e4e-425f-452c-8f86-1d1b37a94a2b\" type=\"checkbox\"/><label for=\"attrs-3e409e4e-425f-452c-8f86-1d1b37a94a2b\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1a7d60b8-967a-4846-afcb-4a212439da76\" type=\"checkbox\"/><label for=\"data-1a7d60b8-967a-4846-afcb-4a212439da76\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact name</dd><dt><span>long_name :</span></dt><dd>contact name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum'],\n       ['Gaston Torres', 'Gaston Torres', 'Gaston Torres',\n        'Gaston Torres', 'Gaston Torres', 'Gaston Torres',\n        'Gaston Torres', 'Gaston Torres', 'Gaston Torres', 'nan',\n        'Gaston Torres', 'Gaston Torres'],\n       ['Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky',\n        'Marta Mitosinkova, Veronika Minarikova, Ladislav Caracky']],\n      dtype='&lt;U56')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-db1d6ecf-d93c-4a97-b779-ea851bb4082d\" type=\"checkbox\"/><label for=\"attrs-db1d6ecf-d93c-4a97-b779-ea851bb4082d\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-60e6d01a-18d0-4c43-b4da-2ddefe0fd010\" type=\"checkbox\"/><label for=\"data-60e6d01a-18d0-4c43-b4da-2ddefe0fd010\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact institution</dd><dt><span>long_name :</span></dt><dd>contact institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'nan', 'NILU', 'NILU'],\n       ['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-44ec77e3-e405-471a-9250-d2d6f9302cd0\" type=\"checkbox\"/><label for=\"attrs-44ec77e3-e405-471a-9250-d2d6f9302cd0\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-cc00f285-0e05-419b-ad3c-cf2ca994356c\" type=\"checkbox\"/><label for=\"data-cc00f285-0e05-419b-ad3c-cf2ca994356c\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact email address</dd><dt><span>long_name :</span></dt><dd>contact email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'nan', 'ebas@nilu.no', 'ebas@nilu.no'],\n       ['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_licence</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-c33262d6-9df2-4343-bd8d-ac2c089491c2\" type=\"checkbox\"/><label for=\"attrs-c33262d6-9df2-4343-bd8d-ac2c089491c2\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-f8d9cb65-6af5-4fb8-b70a-a16df6505a5a\" type=\"checkbox\"/><label for=\"data-f8d9cb65-6af5-4fb8-b70a-a16df6505a5a\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data licence</dd><dt><span>long_name :</span></dt><dd>data licence</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Information pertaining to the data licence governing the redistribution/publication of the ingested network data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan'],\n       ['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_doi</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'xbi0' 'xbi0' ... 's64o' 's64o'</div><input class=\"xr-var-attrs-in\" id=\"attrs-1cd98386-b8f6-4d2a-9fb7-0ef81e5dd9e7\" type=\"checkbox\"/><label for=\"attrs-1cd98386-b8f6-4d2a-9fb7-0ef81e5dd9e7\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1fa8d99f-9a78-4577-97ac-ce95d0c3f4a3\" type=\"checkbox\"/><label for=\"data-1fa8d99f-9a78-4577-97ac-ce95d0c3f4a3\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>DOI</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Digital identifier of an object.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0',\n        'xbi0', 'xbi0', 'xbi0', 'xbi0'],\n       ['v3df', 'v3df', 'v3df', 'v3df', 'v3df', 'v3df', 'v3df', 'v3df',\n        'v3df', 'nan', 'v3df', 'v3df'],\n       ['s64o', 's64o', 's64o', 's64o', 's64o', 's64o', 's64o', 's64o',\n        's64o', 's64o', 's64o', 's64o']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_actris_national_facility</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U5</div><div class=\"xr-var-preview xr-preview\">'True' 'True' ... 'False' 'False'</div><input class=\"xr-var-attrs-in\" id=\"attrs-3924ade2-8499-40a9-b6cb-e1d17004dd03\" type=\"checkbox\"/><label for=\"attrs-3924ade2-8499-40a9-b6cb-e1d17004dd03\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-31a1ae54-aa14-41ed-9cdc-249b0b878385\" type=\"checkbox\"/><label for=\"data-31a1ae54-aa14-41ed-9cdc-249b0b878385\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ACTRIS national facility</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>ACTRIS national facility.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['True', 'True', 'True', 'True', 'True', 'True', 'True', 'True',\n        'True', 'True', 'True', 'True'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'nan', 'False', 'False'],\n       ['False', 'False', 'False', 'False', 'False', 'False', 'False',\n        'False', 'False', 'False', 'False', 'False']], dtype='&lt;U5')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-f773c9e4-5fc8-43a7-9b4a-22f39672ea51\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-f773c9e4-5fc8-43a7-9b4a-22f39672ea51\">Attributes: <span>(3)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>title :</span></dt><dd>Saved data from Providentia</dd><dt><span>institution :</span></dt><dd>Barcelona Supercomputing Center</dd><dt><span>source :</span></dt><dd>Providentia</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=eeae8126-0cf0-4b6f-8a90-75f1d7ad373c\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[25]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'map-Median'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\nWarning: No specific data labels set, plotting first available data label: Ozone Mass Concentration.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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class=\"jp-Cell jp-MarkdownCell jp-Notebook-cell\" id=\"cell-id=ecc3789b-3a50-4f3b-a6ef-d46b2f12bff5\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\"><div class=\"jp-InputPrompt jp-InputArea-prompt\">\n</div><div class=\"jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput\" data-mime-type=\"text/markdown\">\n<h3 id=\"By-station-reference\">By station reference<a class=\"anchor-link\" href=\"#By-station-reference\">\u00b6</a></h3>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=ba2a2846-e601-40ba-a78f-00bea1471e8f\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[26]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">stations_data</span><span class=\"p\">[</span><span class=\"s1\">'actris_actris|sconco3_station_reference'</span><span class=\"p\">]</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[26]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n</symbol>\n</defs>\n</svg>\n<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n\n:root {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base rgba(0, 0, 0, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, white)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n  );\n}\n\nhtml[theme=\"dark\"],\nhtml[data-theme=\"dark\"],\nbody[data-theme=\"dark\"],\nbody.vscode-dark {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, #111111)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n  );\n}\n\n.xr-wrap {\n  display: block !important;\n  min-width: 300px;\n  max-width: 700px;\n  line-height: 1.6;\n}\n\n.xr-text-repr-fallback {\n  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n  display: none;\n}\n\n.xr-header {\n  padding-top: 6px;\n  padding-bottom: 6px;\n  margin-bottom: 4px;\n  border-bottom: solid 1px var(--xr-border-color);\n}\n\n.xr-header > div,\n.xr-header > ul {\n  display: inline;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.xr-obj-type,\n.xr-obj-name,\n.xr-group-name {\n  margin-left: 2px;\n  margin-right: 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100%;\n}\n\n.xr-group-box-vline {\n  grid-column-start: 1;\n  border-right: 0.2em solid;\n  border-color: var(--xr-border-color);\n  width: 0px;\n}\n\n.xr-group-box-hline {\n  grid-column-start: 2;\n  grid-row-start: 1;\n  height: 1em;\n  width: 20px;\n  border-bottom: 0.2em solid;\n  border-color: var(--xr-border-color);\n}\n\n.xr-group-box-contents {\n  grid-column-start: 3;\n}\n\n.xr-array-wrap {\n  grid-column: 1 / -1;\n  display: grid;\n  grid-template-columns: 20px auto;\n}\n\n.xr-array-wrap > label {\n  grid-column: 1;\n  vertical-align: top;\n}\n\n.xr-preview {\n  color: var(--xr-font-color3);\n}\n\n.xr-array-preview,\n.xr-array-data {\n  padding: 0 5px !important;\n  grid-column: 2;\n}\n\n.xr-array-data,\n.xr-array-in:checked ~ .xr-array-preview {\n  display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.DataArray 'actris_actris|sconco3_station_reference' (\n                                                             station_actris_actris|sconco3: 3,\n                                                             month: 12)&gt; Size: 1kB\narray([['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R',\n        'CL0001R', 'CL0001R', 'CL0001R', 'nan', 'CL0001R', 'CL0001R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R']],\n      dtype='&lt;U7')\nDimensions without coordinates: station_actris_actris|sconco3, month\nAttributes:\n    standard_name:  station reference\n    long_name:      station reference identifier\n    units:          unitless\n    description:    reference ID for station.</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.DataArray</div><div class=\"xr-obj-name\">'actris_actris|sconco3_station_reference'</div><ul class=\"xr-dim-list\"><li><span>station_actris_actris|sconco3</span>: 3</li><li><span>month</span>: 12</li></ul></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><div class=\"xr-array-wrap\"><input checked=\"\" class=\"xr-array-in\" id=\"section-70ce039c-ab85-49de-8132-6ab8a840482a\" type=\"checkbox\"/><label for=\"section-70ce039c-ab85-49de-8132-6ab8a840482a\" title=\"Show/hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-array-preview xr-preview\"><span>'AT0034G' 'AT0034G' 'AT0034G' ... 'SK0002R' 'SK0002R' 'SK0002R'</span></div><div class=\"xr-array-data\"><pre>array([['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G'],\n       ['CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R', 'CL0001R',\n        'CL0001R', 'CL0001R', 'CL0001R', 'nan', 'CL0001R', 'CL0001R'],\n       ['SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R',\n        'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R', 'SK0002R']],\n      dtype='&lt;U7')</pre></div></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-56d38251-3664-48ae-a784-decb4a0844e3\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-56d38251-3664-48ae-a784-decb4a0844e3\">Attributes: <span>(4)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=92f48ecb-8f8f-4a68-9e02-912a91be91cf\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[29]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">filter_station</span><span class=\"p\">([</span><span class=\"s1\">'AT0034G'</span><span class=\"p\">])</span>\n<span class=\"n\">stations_data</span> <span class=\"o\">=</span> <span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">data</span><span class=\"p\">(</span><span class=\"nb\">format</span><span class=\"o\">=</span><span class=\"s1\">'xr'</span><span class=\"p\">)</span>\n<span class=\"n\">stations_data</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Filtering data\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child jp-OutputArea-executeResult\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\">Out[29]:</div>\n<div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult\" data-mime-type=\"text/html\" tabindex=\"0\">\n<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n<defs>\n<symbol id=\"icon-database\" viewbox=\"0 0 32 32\">\n<path d=\"M16 0c-8.837 0-16 2.239-16 5v4c0 2.761 7.163 5 16 5s16-2.239 16-5v-4c0-2.761-7.163-5-16-5z\"></path>\n<path d=\"M16 17c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n</symbol>\n<symbol id=\"icon-file-text2\" viewbox=\"0 0 32 32\">\n<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n</symbol>\n</defs>\n</svg>\n<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n\n:root {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base rgba(0, 0, 0, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, white)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n  );\n}\n\nhtml[theme=\"dark\"],\nhtml[data-theme=\"dark\"],\nbody[data-theme=\"dark\"],\nbody.vscode-dark {\n  --xr-font-color0: var(\n    --jp-content-font-color0,\n    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n  );\n  --xr-font-color2: var(\n    --jp-content-font-color2,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n  );\n  --xr-font-color3: var(\n    --jp-content-font-color3,\n    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n  );\n  --xr-border-color: var(\n    --jp-border-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n  );\n  --xr-disabled-color: var(\n    --jp-layout-color3,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n  );\n  --xr-background-color: var(\n    --jp-layout-color0,\n    var(--pst-color-on-background, #111111)\n  );\n  --xr-background-color-row-even: var(\n    --jp-layout-color1,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n  );\n  --xr-background-color-row-odd: var(\n    --jp-layout-color2,\n    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n  );\n}\n\n.xr-wrap {\n  display: block !important;\n  min-width: 300px;\n  max-width: 700px;\n  line-height: 1.6;\n}\n\n.xr-text-repr-fallback {\n  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n  display: none;\n}\n\n.xr-header {\n  padding-top: 6px;\n  padding-bottom: 6px;\n  margin-bottom: 4px;\n  border-bottom: solid 1px var(--xr-border-color);\n}\n\n.xr-header > div,\n.xr-header > ul {\n  display: inline;\n  margin-top: 0;\n  margin-bottom: 0;\n}\n\n.xr-obj-type,\n.xr-obj-name,\n.xr-group-name {\n  margin-left: 2px;\n  margin-right: 10px;\n}\n\n.xr-group-name::before {\n  content: \"\ud83d\udcc1\";\n  padding-right: 0.3em;\n}\n\n.xr-group-name,\n.xr-obj-type {\n  color: var(--xr-font-color2);\n}\n\n.xr-sections {\n  padding-left: 0 !important;\n  display: grid;\n  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n  margin-block-start: 0;\n  margin-block-end: 0;\n}\n\n.xr-section-item {\n  display: contents;\n}\n\n.xr-section-item input {\n  display: inline-block;\n  opacity: 0;\n  height: 0;\n  margin: 0;\n}\n\n.xr-section-item input + label {\n  color: var(--xr-disabled-color);\n  border: 2px solid transparent !important;\n}\n\n.xr-section-item input:enabled + label {\n  cursor: pointer;\n  color: var(--xr-font-color2);\n}\n\n.xr-section-item input:focus + label {\n  border: 2px solid var(--xr-font-color0) !important;\n}\n\n.xr-section-item input:enabled + label:hover {\n  color: var(--xr-font-color0);\n}\n\n.xr-section-summary {\n  grid-column: 1;\n  color: var(--xr-font-color2);\n  font-weight: 500;\n}\n\n.xr-section-summary > span {\n  display: inline-block;\n  padding-left: 0.5em;\n}\n\n.xr-section-summary-in:disabled + label {\n  color: var(--xr-font-color2);\n}\n\n.xr-section-summary-in + label:before {\n  display: inline-block;\n  content: \"\u25ba\";\n  font-size: 11px;\n  width: 15px;\n  text-align: center;\n}\n\n.xr-section-summary-in:disabled + label:before {\n  color: var(--xr-disabled-color);\n}\n\n.xr-section-summary-in:checked + label:before {\n  content: \"\u25bc\";\n}\n\n.xr-section-summary-in:checked + label > span {\n  display: none;\n}\n\n.xr-section-summary,\n.xr-section-inline-details {\n  padding-top: 4px;\n}\n\n.xr-section-inline-details {\n  grid-column: 2 / -1;\n}\n\n.xr-section-details {\n  display: none;\n  grid-column: 1 / -1;\n  margin-top: 4px;\n  margin-bottom: 5px;\n}\n\n.xr-section-summary-in:checked ~ .xr-section-details {\n  display: contents;\n}\n\n.xr-group-box {\n  display: inline-grid;\n  grid-template-columns: 0px 20px auto;\n  width: 100%;\n}\n\n.xr-group-box-vline {\n  grid-column-start: 1;\n  border-right: 0.2em solid;\n  border-color: var(--xr-border-color);\n  width: 0px;\n}\n\n.xr-group-box-hline {\n  grid-column-start: 2;\n  grid-row-start: 1;\n  height: 1em;\n  width: 20px;\n  border-bottom: 0.2em solid;\n  border-color: var(--xr-border-color);\n}\n\n.xr-group-box-contents {\n  grid-column-start: 3;\n}\n\n.xr-array-wrap {\n  grid-column: 1 / -1;\n  display: grid;\n  grid-template-columns: 20px auto;\n}\n\n.xr-array-wrap > label {\n  grid-column: 1;\n  vertical-align: top;\n}\n\n.xr-preview {\n  color: var(--xr-font-color3);\n}\n\n.xr-array-preview,\n.xr-array-data {\n  padding: 0 5px !important;\n  grid-column: 2;\n}\n\n.xr-array-data,\n.xr-array-in:checked ~ .xr-array-preview {\n  display: none;\n}\n\n.xr-array-in:checked ~ .xr-array-data,\n.xr-array-preview {\n  display: inline-block;\n}\n\n.xr-dim-list {\n  display: inline-block !important;\n  list-style: none;\n  padding: 0 !important;\n  margin: 0;\n}\n\n.xr-dim-list li {\n  display: inline-block;\n  padding: 0;\n  margin: 0;\n}\n\n.xr-dim-list:before {\n  content: \"(\";\n}\n\n.xr-dim-list:after {\n  content: \")\";\n}\n\n.xr-dim-list li:not(:last-child):after {\n  content: \",\";\n  padding-right: 5px;\n}\n\n.xr-has-index {\n  font-weight: bold;\n}\n\n.xr-var-list,\n.xr-var-item {\n  display: contents;\n}\n\n.xr-var-item > div,\n.xr-var-item label,\n.xr-var-item > .xr-var-name span {\n  background-color: var(--xr-background-color-row-even);\n  border-color: var(--xr-background-color-row-odd);\n  margin-bottom: 0;\n  padding-top: 2px;\n}\n\n.xr-var-item > .xr-var-name:hover span {\n  padding-right: 5px;\n}\n\n.xr-var-list > li:nth-child(odd) > div,\n.xr-var-list > li:nth-child(odd) > label,\n.xr-var-list > li:nth-child(odd) > .xr-var-name span {\n  background-color: var(--xr-background-color-row-odd);\n  border-color: var(--xr-background-color-row-even);\n}\n\n.xr-var-name {\n  grid-column: 1;\n}\n\n.xr-var-dims {\n  grid-column: 2;\n}\n\n.xr-var-dtype {\n  grid-column: 3;\n  text-align: right;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-preview {\n  grid-column: 4;\n}\n\n.xr-index-preview {\n  grid-column: 2 / 5;\n  color: var(--xr-font-color2);\n}\n\n.xr-var-name,\n.xr-var-dims,\n.xr-var-dtype,\n.xr-preview,\n.xr-attrs dt {\n  white-space: nowrap;\n  overflow: hidden;\n  text-overflow: ellipsis;\n  padding-right: 10px;\n}\n\n.xr-var-name:hover,\n.xr-var-dims:hover,\n.xr-var-dtype:hover,\n.xr-attrs dt:hover {\n  overflow: visible;\n  width: auto;\n  z-index: 1;\n}\n\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  display: none;\n  border-top: 2px dotted var(--xr-background-color);\n  padding-bottom: 20px !important;\n  padding-top: 10px !important;\n}\n\n.xr-var-attrs-in + label,\n.xr-var-data-in + label,\n.xr-index-data-in + label {\n  padding: 0 1px;\n}\n\n.xr-var-attrs-in:checked ~ .xr-var-attrs,\n.xr-var-data-in:checked ~ .xr-var-data,\n.xr-index-data-in:checked ~ .xr-index-data {\n  display: block;\n}\n\n.xr-var-data > table {\n  float: right;\n}\n\n.xr-var-data > pre,\n.xr-index-data > pre,\n.xr-var-data > table > tbody > tr {\n  background-color: transparent !important;\n}\n\n.xr-var-name span,\n.xr-var-data,\n.xr-index-name div,\n.xr-index-data,\n.xr-attrs {\n  padding-left: 25px !important;\n}\n\n.xr-attrs,\n.xr-var-attrs,\n.xr-var-data,\n.xr-index-data {\n  grid-column: 1 / -1;\n}\n\ndl.xr-attrs {\n  padding: 0;\n  margin: 0;\n  display: grid;\n  grid-template-columns: 125px auto;\n}\n\n.xr-attrs dt,\n.xr-attrs dd {\n  padding: 0;\n  margin: 0;\n  float: left;\n  padding-right: 10px;\n  width: auto;\n}\n\n.xr-attrs dt {\n  font-weight: normal;\n  grid-column: 1;\n}\n\n.xr-attrs dt:hover span {\n  display: inline-block;\n  background: var(--xr-background-color);\n  padding-right: 10px;\n}\n\n.xr-attrs dd {\n  grid-column: 2;\n  white-space: pre-wrap;\n  word-break: break-all;\n}\n\n.xr-icon-database,\n.xr-icon-file-text2,\n.xr-no-icon {\n  display: inline-block;\n  vertical-align: middle;\n  width: 1em;\n  height: 1.5em !important;\n  stroke-width: 0;\n  stroke: currentColor;\n  fill: currentColor;\n}\n\n.xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n.xr-var-data-in:checked + label > .xr-icon-database,\n.xr-index-data-in:checked + label > .xr-icon-database {\n  color: var(--xr-font-color0);\n  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n  stroke-width: 0.8px;\n}\n</style><pre class=\"xr-text-repr-fallback\">&lt;xarray.Dataset&gt; Size: 116kB\nDimensions:                                                       (\n                                                                   data_label: 1,\n                                                                   station_actris_actris|sconco3: 1,\n                                                                   time: 8784,\n                                                                   month: 12)\nCoordinates:\n  * time                                                          (time) datetime64[ns] 70kB ...\nDimensions without coordinates: data_label, station_actris_actris|sconco3, month\nData variables: (12/29)\n    data_labels                                                   (data_label) &lt;U24 96B ...\n    actris_actris|sconco3_data                                    (data_label, station_actris_actris|sconco3, time) float32 35kB ...\n    actris_actris|sconco3_station_reference                       (station_actris_actris|sconco3, month) &lt;U7 336B ...\n    actris_actris|sconco3_longitude                               (station_actris_actris|sconco3, month) float64 96B ...\n    actris_actris|sconco3_latitude                                (station_actris_actris|sconco3, month) float64 96B ...\n    actris_actris|sconco3_station_name                            (station_actris_actris|sconco3, month) &lt;U9 432B ...\n    ...                                                            ...\n    actris_actris|sconco3_contact_name                            (station_actris_actris|sconco3, month) &lt;U12 576B ...\n    actris_actris|sconco3_contact_institution                     (station_actris_actris|sconco3, month) &lt;U4 192B ...\n    actris_actris|sconco3_contact_email_address                   (station_actris_actris|sconco3, month) &lt;U12 576B ...\n    actris_actris|sconco3_data_licence                            (station_actris_actris|sconco3, month) &lt;U3 144B ...\n    actris_actris|sconco3_doi                                     (station_actris_actris|sconco3, month) &lt;U4 192B ...\n    actris_actris|sconco3_actris_national_facility                (station_actris_actris|sconco3, month) &lt;U4 192B ...\nAttributes:\n    title:        Saved data from Providentia\n    institution:  Barcelona Supercomputing Center\n    source:       Providentia</pre><div class=\"xr-wrap\" style=\"display:none\"><div class=\"xr-header\"><div class=\"xr-obj-type\">xarray.Dataset</div></div><ul class=\"xr-sections\"><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" disabled=\"\" id=\"section-c6b70fc3-5943-4d06-a8d8-86e63054f82a\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-c6b70fc3-5943-4d06-a8d8-86e63054f82a\" title=\"Expand/collapse section\">Dimensions:</label><div class=\"xr-section-inline-details\"><ul class=\"xr-dim-list\"><li><span>data_label</span>: 1</li><li><span>station_actris_actris|sconco3</span>: 1</li><li><span class=\"xr-has-index\">time</span>: 8784</li><li><span>month</span>: 12</li></ul></div><div class=\"xr-section-details\"></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-eebbe8a7-a082-4b5a-9ad6-195ff52cac55\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-eebbe8a7-a082-4b5a-9ad6-195ff52cac55\">Coordinates: <span>(1)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span class=\"xr-has-index\">time</span></div><div class=\"xr-var-dims\">(time)</div><div class=\"xr-var-dtype\">datetime64[ns]</div><div class=\"xr-var-preview xr-preview\">2024-01-01 ... 2024-12-31T23:00:00</div><input class=\"xr-var-attrs-in\" id=\"attrs-be5124e5-b821-43a9-99a2-54365a54cbf7\" type=\"checkbox\"/><label for=\"attrs-be5124e5-b821-43a9-99a2-54365a54cbf7\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-1562c385-f2e5-4204-ba1a-c45854a96572\" type=\"checkbox\"/><label for=\"data-1562c385-f2e5-4204-ba1a-c45854a96572\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>long_name :</span></dt><dd>time</dd><dt><span>description :</span></dt><dd>Time in hours since 2024-01-01 00:00 UTC. Time given refers to the start of the time window the measurement is representative of (temporal resolution).</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>tz :</span></dt><dd>UTC</dd></dl></div><div class=\"xr-var-data\"><pre>array(['2024-01-01T00:00:00.000000000', '2024-01-01T01:00:00.000000000',\n       '2024-01-01T02:00:00.000000000', ..., '2024-12-31T21:00:00.000000000',\n       '2024-12-31T22:00:00.000000000', '2024-12-31T23:00:00.000000000'],\n      shape=(8784,), dtype='datetime64[ns]')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input class=\"xr-section-summary-in\" id=\"section-e30b4a5b-d50d-41e5-bd6f-332bf9a2f404\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-e30b4a5b-d50d-41e5-bd6f-332bf9a2f404\">Data variables: <span>(29)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><ul class=\"xr-var-list\"><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>data_labels</span></div><div class=\"xr-var-dims\">(data_label)</div><div class=\"xr-var-dtype\">&lt;U24</div><div class=\"xr-var-preview xr-preview\">'Ozone Mass Concentration'</div><input class=\"xr-var-attrs-in\" id=\"attrs-d87f40e2-eff7-4497-8689-1b2708f58b2e\" type=\"checkbox\"/><label for=\"attrs-d87f40e2-eff7-4497-8689-1b2708f58b2e\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-8b581e78-36b8-4b24-bc7e-9fac3afbbe09\" type=\"checkbox\"/><label for=\"data-8b581e78-36b8-4b24-bc7e-9fac3afbbe09\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data_labels</dd><dt><span>long_name :</span></dt><dd>data_labels</dd><dt><span>description :</span></dt><dd>Labels associated with each data array, e.g. observations, model_1, etc.</dd></dl></div><div class=\"xr-var-data\"><pre>array(['Ozone Mass Concentration'], dtype='&lt;U24')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data</span></div><div class=\"xr-var-dims\">(data_label, station_actris_actris|sconco3, time)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">89.24 87.71 84.33 ... 105.3 104.4</div><input class=\"xr-var-attrs-in\" id=\"attrs-dee26de5-7daf-41d1-be74-fb61813cfced\" type=\"checkbox\"/><label for=\"attrs-dee26de5-7daf-41d1-be74-fb61813cfced\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-6ff184de-6c04-40c7-a5a1-bd4567f1c909\" type=\"checkbox\"/><label for=\"data-6ff184de-6c04-40c7-a5a1-bd4567f1c909\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ozone</dd><dt><span>long_name :</span></dt><dd>ozone</dd><dt><span>units :</span></dt><dd>nmol mol-1</dd><dt><span>description :</span></dt><dd>Measured value of surface ozone for the stated temporal resolution.</dd><dt><span>resolution :</span></dt><dd>hourly</dd><dt><span>resampling_resolution :</span></dt><dd>None</dd><dt><span>start_date :</span></dt><dd>20240101</dd><dt><span>end_date :</span></dt><dd>20250101</dd><dt><span>temporal_colocation :</span></dt><dd>True</dd><dt><span>spatial_colocation :</span></dt><dd>True</dd><dt><span>filter_species :</span></dt><dd>{}</dd><dt><span>forecast :</span></dt><dd>[]</dd><dt><span>calibration_factor :</span></dt><dd>{}</dd><dt><span>remove_extreme_stations :</span></dt><dd>None</dd><dt><span>statistic_mode :</span></dt><dd>Temporal|Spatial</dd><dt><span>statistic_aggregation :</span></dt><dd>Median</dd><dt><span>periodic_statistic_mode :</span></dt><dd>Independent</dd><dt><span>periodic_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>timeseries_statistic_aggregation :</span></dt><dd>Median</dd><dt><span>spatial_colocation_tolerance :</span></dt><dd>19.053</dd><dt><span>spatial_colocation_station_reference :</span></dt><dd>True</dd><dt><span>spatial_colocation_station_name :</span></dt><dd>True</dd><dt><span>spatial_colocation_longitude_latitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_measurement_altitude :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation :</span></dt><dd>True</dd><dt><span>spatial_colocation_validation_tolerance :</span></dt><dd>10000.0</dd></dl></div><div class=\"xr-var-data\"><pre>array([[[ 89.2417,  87.7053,  84.3332, ..., 104.3065, 105.3242,\n         104.4263]]], shape=(1, 1, 8784), dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_reference</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U7</div><div class=\"xr-var-preview xr-preview\">'AT0034G' 'AT0034G' ... 'AT0034G'</div><input class=\"xr-var-attrs-in\" id=\"attrs-4a5da4f3-aaa8-43f5-93ba-820f5d2b291d\" type=\"checkbox\"/><label for=\"attrs-4a5da4f3-aaa8-43f5-93ba-820f5d2b291d\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-2157c7af-e486-4990-b77a-f43943d82fa1\" type=\"checkbox\"/><label for=\"data-2157c7af-e486-4990-b77a-f43943d82fa1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station reference</dd><dt><span>long_name :</span></dt><dd>station reference identifier</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>reference ID for station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G',\n        'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G', 'AT0034G']],\n      dtype='&lt;U7')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_longitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">12.96 12.96 12.96 ... 12.96 12.96</div><input class=\"xr-var-attrs-in\" id=\"attrs-2b936378-11dc-449d-88e6-3736c8bfec57\" type=\"checkbox\"/><label for=\"attrs-2b936378-11dc-449d-88e6-3736c8bfec57\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-8b7b2df4-a661-4d93-9a8c-2c2de6f86177\" type=\"checkbox\"/><label for=\"data-8b7b2df4-a661-4d93-9a8c-2c2de6f86177\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>decimal degrees East</dd><dt><span>description :</span></dt><dd>Geodetic longitude of measuring instrument, in decimal degrees East, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class=\"xr-var-data\"><pre>array([[12.95794, 12.95794, 12.95794, 12.95794, 12.95794, 12.95794,\n        12.95794, 12.95794, 12.95794, 12.95794, 12.95794, 12.95794]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_latitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float64</div><div class=\"xr-var-preview xr-preview\">47.05 47.05 47.05 ... 47.05 47.05</div><input class=\"xr-var-attrs-in\" id=\"attrs-61b99f91-2a84-43df-82a1-384cb27d4f07\" type=\"checkbox\"/><label for=\"attrs-61b99f91-2a84-43df-82a1-384cb27d4f07\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-20949652-0359-42e3-9abe-04ac9d6eecaa\" type=\"checkbox\"/><label for=\"data-20949652-0359-42e3-9abe-04ac9d6eecaa\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>decimal degrees North</dd><dt><span>description :</span></dt><dd>Geodetic latitude of measuring instrument, in decimal degrees North, following the stated horizontal datum.</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class=\"xr-var-data\"><pre>array([[47.05407, 47.05407, 47.05407, 47.05407, 47.05407, 47.05407,\n        47.05407, 47.05407, 47.05407, 47.05407, 47.05407, 47.05407]])</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U9</div><div class=\"xr-var-preview xr-preview\">'Sonnblick' ... 'Sonnblick'</div><input class=\"xr-var-attrs-in\" id=\"attrs-55b49a53-cd8a-4e21-b294-9434803dccdd\" type=\"checkbox\"/><label for=\"attrs-55b49a53-cd8a-4e21-b294-9434803dccdd\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-d9598e9c-5a49-47e1-82e4-08ac5cd62f6b\" type=\"checkbox\"/><label for=\"data-d9598e9c-5a49-47e1-82e4-08ac5cd62f6b\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station name</dd><dt><span>long_name :</span></dt><dd>station name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of station where the measurement was conducted.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick', 'Sonnblick',\n        'Sonnblick', 'Sonnblick']], dtype='&lt;U9')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">3.116e+03 3.116e+03 ... 3.116e+03</div><input class=\"xr-var-attrs-in\" id=\"attrs-b64a8c12-14bc-4a84-bb85-75ca9e9c3624\" type=\"checkbox\"/><label for=\"attrs-b64a8c12-14bc-4a84-bb85-75ca9e9c3624\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-5c0f1590-e4e0-4e25-a532-fb4bccb45b66\" type=\"checkbox\"/><label for=\"data-5c0f1590-e4e0-4e25-a532-fb4bccb45b66\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement altitude</dd><dt><span>long_name :</span></dt><dd>measurement altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the inlet/instrument/sampler, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[3116., 3116., 3116., 3116., 3116., 3116., 3116., 3116., 3116.,\n        3116., 3116., 3116.]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_station_timezone</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'UTC' 'UTC' 'UTC' ... 'UTC' 'UTC'</div><input class=\"xr-var-attrs-in\" id=\"attrs-040122cd-25cb-4fca-8d04-5427d61bfb99\" type=\"checkbox\"/><label for=\"attrs-040122cd-25cb-4fca-8d04-5427d61bfb99\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ecf60664-aff7-4732-9e6f-1f332912bdda\" type=\"checkbox\"/><label for=\"data-ecf60664-aff7-4732-9e6f-1f332912bdda\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>station timezone</dd><dt><span>long_name :</span></dt><dd>station timezone</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the local timezone that the measuring station is located in. This is automatically generated using Timezone Finder Python package (taking longitude and latitude as inputs).</dd></dl></div><div class=\"xr-var-data\"><pre>array([['UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC', 'UTC',\n        'UTC', 'UTC', 'UTC']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_altitude</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">3.106e+03 3.106e+03 ... 3.106e+03</div><input class=\"xr-var-attrs-in\" id=\"attrs-bb8aadbc-d659-4d4b-b675-9e00d8243d19\" type=\"checkbox\"/><label for=\"attrs-bb8aadbc-d659-4d4b-b675-9e00d8243d19\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-77dbd542-d038-419a-bc0f-52bbddcd7ebd\" type=\"checkbox\"/><label for=\"data-77dbd542-d038-419a-bc0f-52bbddcd7ebd\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>altitude</dd><dt><span>long_name :</span></dt><dd>altitude relative to mean sea level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Altitude of the ground level at the station, relative to the stated vertical datum, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[3106., 3106., 3106., 3106., 3106., 3106., 3106., 3106., 3106.,\n        3106., 3106., 3106.]], dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_sampling_height</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">float32</div><div class=\"xr-var-preview xr-preview\">10.0 10.0 10.0 ... 10.0 10.0 10.0</div><input class=\"xr-var-attrs-in\" id=\"attrs-d254bf69-9a7a-45ca-bafe-eea0b6aa2e0e\" type=\"checkbox\"/><label for=\"attrs-d254bf69-9a7a-45ca-bafe-eea0b6aa2e0e\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-51556c56-bd83-4f86-84ed-e6d301ff08a4\" type=\"checkbox\"/><label for=\"data-51556c56-bd83-4f86-84ed-e6d301ff08a4\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>sampling height</dd><dt><span>long_name :</span></dt><dd>sampling height relative to ground</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>description :</span></dt><dd>Height above the ground of the inlet/instrument/sampler, in metres.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10., 10.]],\n      dtype=float32)</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_level</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U1</div><div class=\"xr-var-preview xr-preview\">'2' '2' '2' '2' ... '2' '2' '2' '2'</div><input class=\"xr-var-attrs-in\" id=\"attrs-ee83881b-0e8f-4d0d-a885-65c385c7088e\" type=\"checkbox\"/><label for=\"attrs-ee83881b-0e8f-4d0d-a885-65c385c7088e\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-98e1471a-23dc-4389-8def-ae1a487d6d10\" type=\"checkbox\"/><label for=\"data-98e1471a-23dc-4389-8def-ae1a487d6d10\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data level</dd><dt><span>long_name :</span></dt><dd>data level</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Data level of data reported. This varies per network. If data level is variable per measurement, and not static per reported file, then this is set as \"variable\". If there is no reported data level this is set as \"none\"</dd></dl></div><div class=\"xr-var-data\"><pre>array([['2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2', '2']],\n      dtype='&lt;U1')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_country</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U7</div><div class=\"xr-var-preview xr-preview\">'Austria' 'Austria' ... 'Austria'</div><input class=\"xr-var-attrs-in\" id=\"attrs-8589a772-c9c9-416b-9e8f-0d68a6e7e49f\" type=\"checkbox\"/><label for=\"attrs-8589a772-c9c9-416b-9e8f-0d68a6e7e49f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-edc50206-9ff0-4d06-9157-592b6b15b6d1\" type=\"checkbox\"/><label for=\"data-edc50206-9ff0-4d06-9157-592b6b15b6d1\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>country</dd><dt><span>long_name :</span></dt><dd>country</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Name of the country the station is located in.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria',\n        'Austria', 'Austria', 'Austria', 'Austria', 'Austria', 'Austria']],\n      dtype='&lt;U7')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_network</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-4286b131-e490-4b25-a143-f6f75b8418cd\" type=\"checkbox\"/><label for=\"attrs-4286b131-e490-4b25-a143-f6f75b8418cd\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-811f5623-b4bb-46be-af9d-0360bafbfb64\" type=\"checkbox\"/><label for=\"data-811f5623-b4bb-46be-af9d-0360bafbfb64\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>network</dd><dt><span>long_name :</span></dt><dd>data network</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>The name of the network which reports data for the specific station in question.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_associated_networks</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U21</div><div class=\"xr-var-preview xr-preview\">\"['EMEP', 'GAW-WDCRG']\" ... \"['E...</div><input class=\"xr-var-attrs-in\" id=\"attrs-0fbc25ec-6d55-47bf-b00a-3edf94abd467\" type=\"checkbox\"/><label for=\"attrs-0fbc25ec-6d55-47bf-b00a-3edf94abd467\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-284cebc2-ad20-4772-8f02-d70fd17213c4\" type=\"checkbox\"/><label for=\"data-284cebc2-ad20-4772-8f02-d70fd17213c4\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>other associated networks</dd><dt><span>long_name :</span></dt><dd>other associated networks</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>String pair of associated network name and station reference. Format: network1:station_reference1;network2:station_reference2</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\",\n        \"['EMEP', 'GAW-WDCRG']\", \"['EMEP', 'GAW-WDCRG']\"]], dtype='&lt;U21')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_land_use</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U16</div><div class=\"xr-var-preview xr-preview\">'Gravel and stone' ... 'Gravel a...</div><input class=\"xr-var-attrs-in\" id=\"attrs-15c57d7b-8d21-4c8a-a881-2b2e9c74cfc8\" type=\"checkbox\"/><label for=\"attrs-15c57d7b-8d21-4c8a-a881-2b2e9c74cfc8\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-90564a22-aa8d-4c26-9b32-cf6c6b194f4b\" type=\"checkbox\"/><label for=\"data-90564a22-aa8d-4c26-9b32-cf6c6b194f4b\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>land use</dd><dt><span>long_name :</span></dt><dd>standardised network provided land use type</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised network provided classification, describing the dominant land use in the area of the reporting station.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone',\n        'Gravel and stone', 'Gravel and stone', 'Gravel and stone']],\n      dtype='&lt;U16')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_WMO_region</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U6</div><div class=\"xr-var-preview xr-preview\">'Europe' 'Europe' ... 'Europe'</div><input class=\"xr-var-attrs-in\" id=\"attrs-57b8f98c-a2c5-4535-b193-bf6f81e3d287\" type=\"checkbox\"/><label for=\"attrs-57b8f98c-a2c5-4535-b193-bf6f81e3d287\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-97509004-28a7-46c7-864d-c3b5b4b249c9\" type=\"checkbox\"/><label for=\"data-97509004-28a7-46c7-864d-c3b5b4b249c9\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>WMO region</dd><dt><span>long_name :</span></dt><dd>WMO region code</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>World Meteorological Organization (WMO) region of station. The available regions are: Africa, Asia, South America, \"Northern America, Central America and the Caribbean\", South-West Pacific, Europe and Antarctica.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe',\n        'Europe', 'Europe', 'Europe', 'Europe', 'Europe', 'Europe']],\n      dtype='&lt;U6')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measurement_methodology</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U11</div><div class=\"xr-var-preview xr-preview\">'AT03L_uv_ab' ... 'AT03L_uv_ab'</div><input class=\"xr-var-attrs-in\" id=\"attrs-f043f824-3f69-497e-9008-5a076e33dc72\" type=\"checkbox\"/><label for=\"attrs-f043f824-3f69-497e-9008-5a076e33dc72\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-b6f806ee-e1c5-4240-b064-5fe24224bfeb\" type=\"checkbox\"/><label for=\"data-b6f806ee-e1c5-4240-b064-5fe24224bfeb\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measurement methodology</dd><dt><span>long_name :</span></dt><dd>standardised measurement methodology</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measurement methodology.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab',\n        'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab',\n        'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab', 'AT03L_uv_ab']],\n      dtype='&lt;U11')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U10</div><div class=\"xr-var-preview xr-preview\">'Thermo/49i' ... 'Thermo/49i'</div><input class=\"xr-var-attrs-in\" id=\"attrs-8e0e15f6-69df-4427-8fad-47bca48e7334\" type=\"checkbox\"/><label for=\"attrs-8e0e15f6-69df-4427-8fad-47bca48e7334\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-705888de-eb89-4e82-9181-6976e693a2f7\" type=\"checkbox\"/><label for=\"data-705888de-eb89-4e82-9181-6976e693a2f7\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument name</dd><dt><span>long_name :</span></dt><dd>standardised measuring instrument name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i',\n        'Thermo/49i', 'Thermo/49i', 'Thermo/49i', 'Thermo/49i']],\n      dtype='&lt;U10')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_sampling_type</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U38</div><div class=\"xr-var-preview xr-preview\">\"['ultra-violet fluorescence det...</div><input class=\"xr-var-attrs-in\" id=\"attrs-baa98b63-b46e-481e-9d6c-1250504fc5ca\" type=\"checkbox\"/><label for=\"attrs-baa98b63-b46e-481e-9d6c-1250504fc5ca\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-5b081b73-2946-472b-8c19-010b6e4f5c67\" type=\"checkbox\"/><label for=\"data-5b081b73-2946-472b-8c19-010b6e4f5c67\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument sampling type</dd><dt><span>long_name :</span></dt><dd>standardised sampling type of the measuring instrument</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Standardised name of the measuring instrument sampling type.</dd></dl></div><div class=\"xr-var-data\"><pre>array([[\"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\",\n        \"['ultra-violet fluorescence detector']\"]], dtype='&lt;U38')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_measuring_instrument_inlet_information</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-28fe7da0-da56-4485-9252-49b75811ef4f\" type=\"checkbox\"/><label for=\"attrs-28fe7da0-da56-4485-9252-49b75811ef4f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-edcbd3e9-8803-46d0-91e6-124970acbd79\" type=\"checkbox\"/><label for=\"data-edcbd3e9-8803-46d0-91e6-124970acbd79\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>measuring instrument inlet information</dd><dt><span>long_name :</span></dt><dd>measuring instrument measurement inlet information</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Description of sampling inlet of the measuring instrument.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'Iris Buxbaum' ... 'Iris Buxbaum'</div><input class=\"xr-var-attrs-in\" id=\"attrs-41b2b8e9-5313-4b7c-9936-2b73f5b3b0f8\" type=\"checkbox\"/><label for=\"attrs-41b2b8e9-5313-4b7c-9936-2b73f5b3b0f8\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-ff7d8f6f-0fbe-4b75-833c-0e22fc6944af\" type=\"checkbox\"/><label for=\"data-ff7d8f6f-0fbe-4b75-833c-0e22fc6944af\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator name</dd><dt><span>long_name :</span></dt><dd>principal investigator name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-f990055e-a206-4453-bd4b-cb80b48cf388\" type=\"checkbox\"/><label for=\"attrs-f990055e-a206-4453-bd4b-cb80b48cf388\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-e74e2991-b56e-4888-abb9-0d9cffd89199\" type=\"checkbox\"/><label for=\"data-e74e2991-b56e-4888-abb9-0d9cffd89199\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator institution</dd><dt><span>long_name :</span></dt><dd>principal investigator institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_principal_investigator_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-10c23caf-f8bc-49a2-8e3c-fbc28af63236\" type=\"checkbox\"/><label for=\"attrs-10c23caf-f8bc-49a2-8e3c-fbc28af63236\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-6dc7bc27-1374-43dc-8f3b-29df032bdba0\" type=\"checkbox\"/><label for=\"data-6dc7bc27-1374-43dc-8f3b-29df032bdba0\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>principal investigator email address</dd><dt><span>long_name :</span></dt><dd>principal investigator email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal scientific investigator for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_name</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'Iris Buxbaum' ... 'Iris Buxbaum'</div><input class=\"xr-var-attrs-in\" id=\"attrs-ac324b4a-bcc6-49f6-85af-b529c8377226\" type=\"checkbox\"/><label for=\"attrs-ac324b4a-bcc6-49f6-85af-b529c8377226\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-36909dff-5baf-4ae6-a539-4794f7a80d0e\" type=\"checkbox\"/><label for=\"data-36909dff-5baf-4ae6-a539-4794f7a80d0e\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact name</dd><dt><span>long_name :</span></dt><dd>contact name</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Full name of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum',\n        'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum', 'Iris Buxbaum']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_institution</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'NILU' 'NILU' ... 'NILU' 'NILU'</div><input class=\"xr-var-attrs-in\" id=\"attrs-10f82e41-da42-4e6b-888f-c7cc7db706c1\" type=\"checkbox\"/><label for=\"attrs-10f82e41-da42-4e6b-888f-c7cc7db706c1\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-e4451e11-da80-4bb9-b3e7-65d999521d13\" type=\"checkbox\"/><label for=\"data-e4451e11-da80-4bb9-b3e7-65d999521d13\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact institution</dd><dt><span>long_name :</span></dt><dd>contact institution</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Institution of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU', 'NILU',\n        'NILU', 'NILU', 'NILU', 'NILU']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_contact_email_address</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U12</div><div class=\"xr-var-preview xr-preview\">'ebas@nilu.no' ... 'ebas@nilu.no'</div><input class=\"xr-var-attrs-in\" id=\"attrs-e0b3a805-8f7b-4493-99c6-dfc68e25e85a\" type=\"checkbox\"/><label for=\"attrs-e0b3a805-8f7b-4493-99c6-dfc68e25e85a\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-337252ec-c847-4dc7-8ff2-de2cebbd8c21\" type=\"checkbox\"/><label for=\"data-337252ec-c847-4dc7-8ff2-de2cebbd8c21\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>contact email address</dd><dt><span>long_name :</span></dt><dd>contact email address</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Email address of the principal data contact for the specific reported data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no',\n        'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no', 'ebas@nilu.no']],\n      dtype='&lt;U12')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_data_licence</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U3</div><div class=\"xr-var-preview xr-preview\">'nan' 'nan' 'nan' ... 'nan' 'nan'</div><input class=\"xr-var-attrs-in\" id=\"attrs-1e4d8139-6254-4fa7-a1de-4a124306fa37\" type=\"checkbox\"/><label for=\"attrs-1e4d8139-6254-4fa7-a1de-4a124306fa37\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-41f89611-7db9-4922-bfdb-ca6842dfae84\" type=\"checkbox\"/><label for=\"data-41f89611-7db9-4922-bfdb-ca6842dfae84\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>data licence</dd><dt><span>long_name :</span></dt><dd>data licence</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Information pertaining to the data licence governing the redistribution/publication of the ingested network data.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan', 'nan',\n        'nan', 'nan', 'nan']], dtype='&lt;U3')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_doi</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'xbi0' 'xbi0' ... 'xbi0' 'xbi0'</div><input class=\"xr-var-attrs-in\" id=\"attrs-8705132a-8764-4cd3-aa68-c6e96bdd5404\" type=\"checkbox\"/><label for=\"attrs-8705132a-8764-4cd3-aa68-c6e96bdd5404\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-966442ab-e848-41b4-9a62-9aa82a126313\" type=\"checkbox\"/><label for=\"data-966442ab-e848-41b4-9a62-9aa82a126313\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>DOI</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>Digital identifier of an object.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0', 'xbi0',\n        'xbi0', 'xbi0', 'xbi0', 'xbi0']], dtype='&lt;U4')</pre></div></li><li class=\"xr-var-item\"><div class=\"xr-var-name\"><span>actris_actris|sconco3_actris_national_facility</span></div><div class=\"xr-var-dims\">(station_actris_actris|sconco3, month)</div><div class=\"xr-var-dtype\">&lt;U4</div><div class=\"xr-var-preview xr-preview\">'True' 'True' ... 'True' 'True'</div><input class=\"xr-var-attrs-in\" id=\"attrs-d248a96a-0457-4aba-bb55-92c47cda985f\" type=\"checkbox\"/><label for=\"attrs-d248a96a-0457-4aba-bb55-92c47cda985f\" title=\"Show/Hide attributes\"><svg class=\"icon xr-icon-file-text2\"><use xlink:href=\"#icon-file-text2\"></use></svg></label><input class=\"xr-var-data-in\" id=\"data-d96a8d58-f037-4e1c-85ec-a1a8a41b9410\" type=\"checkbox\"/><label for=\"data-d96a8d58-f037-4e1c-85ec-a1a8a41b9410\" title=\"Show/Hide data repr\"><svg class=\"icon xr-icon-database\"><use xlink:href=\"#icon-database\"></use></svg></label><div class=\"xr-var-attrs\"><dl class=\"xr-attrs\"><dt><span>standard_name :</span></dt><dd>ACTRIS national facility</dd><dt><span>long_name :</span></dt><dd>Digital identifier of an object</dd><dt><span>units :</span></dt><dd>unitless</dd><dt><span>description :</span></dt><dd>ACTRIS national facility.</dd></dl></div><div class=\"xr-var-data\"><pre>array([['True', 'True', 'True', 'True', 'True', 'True', 'True', 'True',\n        'True', 'True', 'True', 'True']], dtype='&lt;U4')</pre></div></li></ul></div></li><li class=\"xr-section-item\"><input checked=\"\" class=\"xr-section-summary-in\" id=\"section-478ae8fd-af04-4e66-bd13-3ad613cb0294\" type=\"checkbox\"/><label class=\"xr-section-summary\" for=\"section-478ae8fd-af04-4e66-bd13-3ad613cb0294\">Attributes: <span>(3)</span></label><div class=\"xr-section-inline-details\"></div><div class=\"xr-section-details\"><dl class=\"xr-attrs\"><dt><span>title :</span></dt><dd>Saved data from Providentia</dd><dt><span>institution :</span></dt><dd>Barcelona Supercomputing Center</dd><dt><span>source :</span></dt><dd>Providentia</dd></dl></div></li></ul></div></div>\n</div>\n</div>\n</div>\n</div>\n</div><div class=\"jp-Cell jp-CodeCell jp-Notebook-cell\" id=\"cell-id=742bbc47-9811-4c2b-b65d-fd7cf31a4d3d\">\n<div class=\"jp-Cell-inputWrapper\" tabindex=\"0\">\n<div class=\"jp-Collapser jp-InputCollapser jp-Cell-inputCollapser\">\n</div>\n<div class=\"jp-InputArea jp-Cell-inputArea\">\n<div class=\"jp-InputPrompt jp-InputArea-prompt\">In\u00a0[30]:</div>\n<div class=\"jp-CodeMirrorEditor jp-Editor jp-InputArea-editor\" data-type=\"inline\">\n<div class=\"cm-editor cm-s-jupyter\">\n<div class=\"highlight hl-ipython3\"><pre><span></span><span class=\"n\">provi</span><span class=\"o\">.</span><span class=\"n\">plot</span><span class=\"p\">(</span><span class=\"s1\">'map-Median'</span><span class=\"p\">)</span>\n</pre></div>\n</div>\n</div>\n</div>\n</div>\n<div class=\"jp-Cell-outputWrapper\">\n<div class=\"jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser\">\n</div>\n<div class=\"jp-OutputArea jp-Cell-outputArea\">\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedText jp-OutputArea-output\" data-mime-type=\"text/plain\" tabindex=\"0\">\n<pre>Warning: Width and/or height have not been passed. The default values will be set.\nWarning: No specific data labels set, plotting first available data label: Ozone Mass Concentration.\n</pre>\n</div>\n</div>\n<div class=\"jp-OutputArea-child\">\n<div class=\"jp-OutputPrompt jp-OutputArea-prompt\"></div>\n<div class=\"jp-RenderedImage jp-OutputArea-output\" tabindex=\"0\">\n<img alt=\"No description has been provided for this image\" class=\"\" 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\"/>\n</div>\n</div>\n</div>\n</div>\n</div>\n</main>\n</div>\n</div>\n"}
