{"id":63,"date":"2018-05-15T11:33:02","date_gmt":"2018-05-15T09:33:02","guid":{"rendered":"http:\/\/earthsystemdatalab\/?page_id=63"},"modified":"2021-10-08T12:32:06","modified_gmt":"2021-10-08T10:32:06","slug":"avl-jyp-lab","status":"publish","type":"page","link":"https:\/\/agriculturevlab.eu\/index.php\/avl-lab\/avl-jyp-lab\/","title":{"rendered":"AVL Jupyter Lab"},"content":{"rendered":"[vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”][vc_column_text]\n
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The AVL Jupyter lab provides a powerful, ready-to-use, interactive environment for exploring, visualizing, and plotting AVL data using Jupyter scientific notebooks. The notebook environment integrates an extensive Python scientific stack, including xcube and geoDB, as well as offering simple and fast access to AVL-specific datasets. Additional data can be uploaded, read from cloud storage, or ingested from a selection of online earth science data portals. The Jupyter notebook allows the user to interactively develop and richly document analysis workflows, and can be saved, exported, shared, and presented, and also incorporates powerful data visualization tools. Analysis results can of course be saved, shared, or downloaded.<\/span>\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” scene_position=”center” text_color=”dark” text_align=”left” overlay_strength=”0.3″ shape_divider_position=”bottom”][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”]

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<\/div><\/div>[nectar_btn size=”large” open_new_tab=”true” button_style=”regular” button_color_2=”Accent-Color” icon_family=”none” url=”https:\/\/jupyter.agriculturevlab.eu\/hub\/login?next=%2Fhub%2F” text=”Start AVL Jupyter Lab !”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1\/12″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”][\/vc_column][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_shadow=”none” column_border_radius=”none” width=”1\/2″ tablet_text_alignment=”default” phone_text_alignment=”default” column_border_width=”none” column_border_style=”solid”]
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In a nutshell<\/h3>\n <\/div>
<\/div><\/div>[nectar_icon_list color=”default” icon_size=”small” icon_style=”border”][nectar_icon_list_item icon_type=”icon” title=”List Item” id=”1633547216-1-31″ tab_id=”1633547393497-10″ text=” Ready-to-use online data exploration, visualization, and analysis environment<\/p>\n

Integration with xcube, geoDB, and the Python scientific stack<\/p>\n

Simple access to supplied AVL datasets<\/p>\n

Easily access or import further data from a wide range of online sources<\/p>\n

Share and present analysis workflows as Jupyter notebooks<\/p>\n

Download data and analysis results or share them in the cloud<\/p>\n

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