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Trento 1911 - Building 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 27.45 m<br><u>Width</u>: 13.48 m<br><u>Height</u>: 23.42 m<br><u>Points</u>: 18 <br><u>Vertices</u>: 96 <br><u>Primitives</u>: 32 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.xml</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12691919/files/building_15.obj/content">building_15.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12691919/files/building_15.glb/content">building_15.glb</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691919/files/11569511_metsmods.xml/content">11569511_metsmods.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12691919/files/11569511_metsmods.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691919/files/11569511_edm.xml/content">11569511_edm.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12691919/files/11569511_edm.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691919/files/building_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12538119">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12691919">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Amsterdam - Lange Houtstraat 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 11.86 m<br><u>Width</u>: 9.62 m<br><u>Height</u>: 10.16 m<br><u>Vertices</u>: 1062 <br><u>Primitives</u>: 806 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.xml</th><th>.zip</th><th>.mtl</th><th>.glb</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.obj/content">Lange_Houtstraat_15.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12690748/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.mtl/content">Lange_Houtstraat_15.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.glb/content">Lange_Houtstraat_15.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/11252992_metsmods.xml/content">11252992_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12690748/files/11252992_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690748/files/11252992_edm.xml/content">11252992_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12690748/files/11252992_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690748/files/Lange_Houtstraat_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11483485">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12690748">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Trento 1851 - Building 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 12.01 m<br><u>Width</u>: 7.8 m<br><u>Height</u>: 13.74 m<br><u>Points</u>: 16 <br><u>Vertices</u>: 84 <br><u>Primitives</u>: 28 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.xml</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12690441/files/building_15.obj/content">building_15.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12690441/files/building_15.glb/content">building_15.glb</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690441/files/11563950_edm.xml/content">11563950_edm.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12690441/files/11563950_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690441/files/11563950_metsmods.xml/content">11563950_metsmods.xml</a></td><td></td><td><a href="https://zenodo.org/api/records/12690441/files/11563950_metsmods.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690441/files/building_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12530431">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12690441">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Trento 1936 - Building 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 22.83 m<br><u>Width</u>: 16.13 m<br><u>Height</u>: 49.85 m<br><u>Points</u>: 34 <br><u>Vertices</u>: 204 <br><u>Primitives</u>: 68 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.obj</th><th>.xml</th></tr><tr><td><a href="https://zenodo.org/api/records/12688799/files/building_15.glb/content">building_15.glb</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12688799/files/building_15.obj/content">building_15.obj</a></td><td></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15.obj/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12688799/files/11575484_edm.xml/content">11575484_edm.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12688799/files/11575484_edm.xml/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12688799/files/11575484_metsmods.xml/content">11575484_metsmods.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12688799/files/11575484_metsmods.xml/content">Link</a></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688799/files/building_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12544549">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12688799">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Trento 1886 - Building 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 26.2 m<br><u>Width</u>: 13.97 m<br><u>Height</u>: 20.01 m<br><u>Points</u>: 24 <br><u>Vertices</u>: 132 <br><u>Primitives</u>: 44 <br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.glb</th><th>.obj</th><th>.xml</th></tr><tr><td><a href="https://zenodo.org/api/records/12688073/files/building_15.obj/content">building_15.obj</a></td><td></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15.obj/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12688073/files/building_15.glb/content">building_15.glb</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12688073/files/11566709_edm.xml/content">11566709_edm.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12688073/files/11566709_edm.xml/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12688073/files/11566709_metsmods.xml/content">11566709_metsmods.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12688073/files/11566709_metsmods.xml/content">Link</a></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12688073/files/building_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.12534817">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12688073">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
ICDAR'15 SMARTPHONE DOCUMENT CAPTURE AND OCR COMPETITION (SmartDoc) - Challenge 1 (original version)
<p><strong>CHALLENGE 1: SMARTPHONE DOCUMENT CAPTURE COMPETITION</strong></p> <p><strong>Smartphones are replacing personal scanners.</strong> They are portable, connected, powerful and affordable. They are on their way to become the new entry point in business processing applications like document archival, ID scanning, check digitization, just to name a few. In order keep our workflows streamlined, <strong>we need to make those new capture device as reliable as batch scanners</strong>.</p> <p>We believe an efficient capture process should be able to:</p> <ol> <li><em>detect and segment</em> the relevant document object during the preview phase;</li> <li><em>assess the quality</em> of the capture conditions and help the user improve them;</li> <li>optionally, <em>trigger the capture</em> at the perfect moment;</li> <li>and <em>produce a high-quality, controlled output</em> based on the high resolution captured image.</li> </ol> <p>This competition is focused on the first step of this process:<strong> </strong><strong>efficiently detect and segment document regions</strong>, as illustrated by following video showing the ideal output for the preview phase of some acquisition session: <a href="https://youtu.be/WNsI0R_rpO0">Click here to watch the video.</a> This video shows the ideal document object detection ‎(ie the ground truth, as a red frame)‎.</p> <p>For this challenge, the <strong>input</strong> consists in a set of <strong>videoclips containing a document</strong> from a predefined set, and the <strong>output</strong> should be an <strong>xml file containing the quadrilateral coordinates</strong> in which we can find the document per each frame of the video. Click <a href="https://sites.google.com/site/icdar15smartdoc/challenge-1/challenge1dataset">here</a> for detailed information about the dataset. </p> <p> </p> <p><strong>Licence</strong> for the dataset of challenge 1 (page outline detection in preview frames) :</p> <p>This work is licensed under a <strong>Creative Commons Attribution 4.0 International License</strong> <<a href="https://www.google.com/url?q=http://creativecommons.org/licenses/by/4.0/&sa=D&ust=1524734857667000&usg=AFQjCNEt4YXnUv2nXCFwkeOuBDqxDpvknQ">http://creativecommons.org/licenses/by/4.0/</a>>. Author attribution should be given by citing the following conference paper: Jean-Christophe Burie, Joseph Chazalon, Mickaël Coustaty, Sébastien Eskenazi, Muhammad Muzzamil Luqman, Maroua Mehri, Nibal Nayef, Jean-Marc OGIER, Sophea Prum and Marçal Rusinol: “ICDAR2015 Competition on Smartphone Document Capture and OCR (SmartDoc)”, In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015.</p> <p><strong>If you use this dataset, please send us a short email at <icdar.smartdoc (at) gmail.com> to tell us why it was useful to you, and whether you have results or publications we can reference on our website. Thank you!</strong></p>
EOL Dynamic Hierarchy Trunk (trunk): Dynamic Hierarchy Trunk 15 March 2017
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Nakano, T., Ramlah, Z., Hikida, T., 2012. Phylogenetic position of gastrostomobdellid leeches (Hirudinida, Arhynchobdellida, Erpobdelliformes) and a new family for the genus Orobdella. Zoologica Scripta 41, 177–185. <p></p>https://doi.org/10.1111/j.1463-6409.2011.00506.x Naylor, G.J.P., Caira, J.N., Jensen, K.R.E., Rosana, K.M., Straube, N., Lakner, C., 2012. Elasmobranch Phylogeny: A Mitochondrial Estimate Based on 595 Species. In J.C. Carrier, J.A. Musick and M.R. Heithaus (editors), The Biology of Sharks and Their Relatives. 31-56. CRC Press, Taylor & Francis Group. Nesbitt, S.J., 2011. The Early Evolution of Archosaurs: Relationships and the Origin of Major Clades. Bulletin of the American Museum of Natural History, 2011(352):1-292. <p></p>https://doi.org/10.1206/352.1 Nesnidal, Maximilian P., Martin Helmkampf, Achim Meyer, Alexander Witek, Iris Bruchhaus, Ingo Ebersberger, Thomas Hankeln, Bernhard Lieb, Torsten H. Struck, and Bernhard Hausdorf. 2013. New Phylogenomic Data Support the Monophyly of Lophophorata and an Ectoproct-Phoronid Clade and Indicate That Polyzoa and Kryptrochozoa Are Caused by Systematic Bias. BMC Evolutionary Biology 13(1): 253. <p></p>https://doi.org/10.1186/1471-2148-13-253. Oaks, J.R., 2011. A Time-Calibrated Species Tree of Crocodylia Reveals a Recent Radiation of the True Crocodiles. Evolution 65, 3285–3297. <p></p>https://doi.org/10.1111/j.1558-5646.2011.01373.x Okamura, B., Gruhl, A., Reft, A.J., 2015. Cnidarian Origins of the Myxozoa, in: Okamura, B., Gruhl, A., Bartholomew, J.L. (Eds.), Myxozoan Evolution, Ecology and Development. Springer International Publishing, Cham, pp. 45–68. <p></p>https://doi.org/10.1007/978-3-319-14753-6_3 Pyron, R.A., Burbrink, F.T., Wiens, J.J., 2013. A phylogeny and revised classification of Squamata, including 4161 species of lizards and snakes. BMC Evolutionary Biology 13, 93. <p></p>https://doi.org/10.1186/1471-2148-13-93 Robertson, J.A., Ślipiński, A., Moulton, M., Shockley, F.W., Giorgi, A., Lord, N.P., Mckenna, D.D., Tomaszewska, W., Forrester, J., Miller, K.B., Whiting, M.F., Mchugh, J.V., 2015. Phylogeny and classification of Cucujoidea and the recognition of a new superfamily Coccinelloidea (Coleoptera: Cucujiformia): Systematics of Cucujoidea and Coccinelloidea. Systematic Entomology 40, 745–778. <p></p>https://doi.org/10.1111/syen.12138 Rouse, Greg W., Nerida G. Wilson, Jose I. Carvajal, and Robert C. Vrijenhoek. 2016. New Deep-Sea Species of Xenoturbella and the Position of Xenacoelomorpha. Nature 530(7588):94–97. <p></p>https://doi.org/10.1038/nature16545. Ruhfel, B.R., Gitzendanner, M.A., Soltis, P.S., Soltis, D.E., Burleigh, J.G., 2014. From algae to angiosperms–inferring the phylogeny of green plants (Viridiplantae) from 360 plastid genomes. BMC Evolutionary Biology 14, 23. <p></p>https://doi.org/10.1186/1471-2148-14-23 Schiffer, Philipp H., Helen E. Robertson, and Maximilian J. Telford. 2018. Orthonectids Are Highly Degenerate Annelid Worms. Current Biology 28(12):1970-1974.e3. <p></p>https://doi.org/10.1016/j.cub.2018.04.088. The Angiosperm Phylogeny Group, 2016. An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Bot. J. Linn. Soc. 181, 1–20. <p></p>https://doi.org/10.1111/boj.12385 Van Nieukerken, E.J., Kaila, L., Kitching, I.J., Kristensen, N.P., Lees, D.C., Minet, J., Mitter, C., Mutanen, M., Regier, J.C., Simonsen, T.J., Wahlberg, N., Yen, S.-H., Zahiri, R., Adamski, D., Baixeras, J., Bartsch, D., Bengtsson, B.Å., Brown, J.W., Bucheli, S.R., Davis, D.R., Prins, J.D., Prins, W.D., Epstein, M.E., Gentili-Poole, P., Gielis, C., Hättenschwiler, P., Hausmann, A., Holloway, J.D., Kallies, A., Karsholt, O., Kawahara, A.Y., Koster, S.J.C., Kozlov, M.V., Lafontaine, J.D., Lamas, G., Landry, J.-F., Lee, S., Nuss, M., Park, K.-T., Penz, C., Rota, J., Schintlmeister, A., Schmidt, B.C., Sohn, J.-C., Solis, M.A., Tarmann, G.M., Warren, A.D., Weller, S., Yakovlev, R.V., Zolotuhin, V.V., Zwick, A., 2011. Order Lepidoptera Linnaeus, 1758. In: Zhang, Z.-Q. (Ed.) Animal biodiversity: An outline of higher-level classification and survey of taxonomic richness. Zootaxa 3148, 212. <p></p>https://doi.org/10.11646/zootaxa.3148.1.41 Vea, I.M., Grimaldi, D.A., 2015. Diverse New Scale Insects (Hemiptera: Coccoidea) in Amber from the Cretaceous and Eocene with a Phylogenetic Framework for Fossil Coccoidea. novi 2015, 1–15. <p></p>https://doi.org/10.1206/3823.1 Vélez-Zuazo, X., Agnarsson, I., 2011. Shark tales: A molecular species-level phylogeny of sharks (Selachimorpha, Chondrichthyes). Molecular Phylogenetics and Evolution 58, 207–217. <p></p>https://doi.org/10.1016/j.ympev.2010.11.018 Weigert, A., Bleidorn, C., 2016. Current status of annelid phylogeny. Org Divers Evol 16, 345–362. <p></p>https://doi.org/10.1007/s13127-016-0265-7 Weirauch, C., Schuh, R.T., 2011. Systematics and Evolution of Heteroptera: 25 Years of Progress. Annu. Rev. Entomol. 56, 487–510. <p></p>https://doi.org/10.1146/annurev-ento-120709-144833 Wiegmann, B.M., Trautwein, M.D., Winkler, I.S., Barr, N.B., Kim, J.-W., Lambkin, C., Bertone, M.A., Cassel, B.K., Bayless, K.M., Heimberg, A.M., Wheeler, B.M., Peterson, K.J., Pape, T., Sinclair, B.J., Skevington, J.H., Blagoderov, V., Caravas, J., Kutty, S.N., Schmidt-Ott, U., Kampmeier, G.E., Thompson, F.C., Grimaldi, D.A., Beckenbach, A.T., Courtney, G.W., Friedrich, M., Meier, R., Yeates, D.K., 2011. Episodic radiations in the fly tree of life. Proceedings of the National Academy of Sciences 108, 5690–5695. <p></p>https://doi.org/10.1073/pnas.1012675108 Winterton, S.L., Hardy, N.B., Wiegmann, B.M., 2010. On wings of lace: phylogeny and Bayesian divergence time estimates of Neuropterida (Insecta) based on morphological and molecular data. Systematic Entomology 35, 349–378. <p></p>https://doi.org/10.1111/j.1365-3113.2010.00521.x Yuri, T., Kimball, R.T., Harshman, J., Bowie, R.C.K., Braun, M.J., Chojnowski, J.L., Han, K.-L., Hackett, S.J., Huddleston, C.J., Moore, W.S., Reddy, S., Sheldon, F.H., Steadman, D.W., Witt, C.C., Braun, E.L., 2013. Parsimony and Model-Based Analyses of Indels in Avian Nuclear Genes Reveal Congruent and Incongruent Phylogenetic Signals. Biology 2, 419–444. <p></p>https://doi.org/10.3390/biology2010419 Zverkov, Oleg A., Kirill V. Mikhailov, Sergey V. Isaev, Leonid Y. Rusin, Olga V. Popova, Maria D. Logacheva, Alexey A. Penin, et al. 2019. Dicyemida and Orthonectida: Two Stories of Body Plan Simplification. Frontiers in Genetics 10. <p></p>https://doi.org/10.3389/fgene.2019.00443.<p></p>Dynamic hierarchy trunk to family except for Birds (sourced from IOC Birdlist), several marine taxa (sourced from WoRMS), certain insect groups (sourced from Species File projects), and earthworms (sourced from EOL Earthworms patch). The Encyclopedia of Life (EOL, eol.org) aggregates biodiversity information from more than 400 sources and provides access to the data through taxon pages, visual query and application programming interfaces. Scientific names are essential elements of the data integration infrastructure, but their shortcomings as key identifiers are well documented (Patterson et al., 2016). Complex automated workflows and continuous manual curation are required to address idiosyncrasies of source taxonomies, variation in data quality, and conflicting taxonomic opinions. To achieve a harmonized taxonomic view of EOL content, names from data sources are mapped to a dynamic reference hierarchy ([see current version here](<p></p>https://opendata.eol.org/dataset/tram-807-808-809-810-dh-v1-1/resource/00adb47b-57ed-4f6b-8f66-83bfdb5120e8)) using an algorithm that leverages canonical name strings, hierarchical information (ancestry, descendants), taxonomic ranks, synonym data, and author strings. Names that cannot be associated with a reference taxon are still accessible, but their unmapped status excludes them and any associated content from certain core EOL functions. For more information about the EOL taxonomy, see [EOL Dynamic Hierarchy](<p></p>https://eol.org/docs/eol-dynamic-hierarchy)
RE-Lab-Projects/TRY_DE_2015_2045: Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale
<p>Test Reference Years (TRY) for 15 typical regions in germany with special regards on realisitc radiation data on a 1min timescale</p> <p><strong>Summary:</strong></p> <p>The data set contains the updated test reference years (TRY) of the German Weather Service (DWD). By subdividing into 15 TRY regions, each postcode area can be assigned a representative weather data set. It should be emphasized that in addition to a mean, current test reference year for a region, there is also a year with extreme summer and extreme winter weather. To take climate change into account, there is then a time series for the year 2045 for each test reference year based on the IPCC climate models. This means that a total of 90 weather data sets are available with a one-hour time resolution.</p> <p>In order to use the data in simulations with a temporal resolution of 1min or 15min, the data set was extended by linear interpolation. While this approach is justifiable for air pressure and temperature, for example, it does not depict high fluctuations in solar radiation. Therefore, based on the one-minute open data measurement data set of the Baseline Surface Radiation Network, with an algorithm by Hofmann et. al. the time series of global radiation are newly generated for all test reference years. Another algorithm by Hofmann et. al. was used to calculate the corresponding diffuse radiation times series.</p> <p><strong>Sources:</strong></p> <ul> <li>Raw data from DWD: <a href="https://kunden.dwd.de/obt/">https://kunden.dwd.de/obt/</a> -> <code>1_raw-data</code></li> <li>Synthetic 1min radiation data: <a href="http://pvmodelling.org/">http://pvmodelling.org/</a> -> <code>2_synthetic-radiation</code></li> </ul> <p><strong>How to use or recreate the final dataset:</strong></p> <ol> <li>clone/download this repository</li> <li>unzip the files from the data.zip file <ol> <li><a href="https://github.com/RE-Lab-Projects/TRY_DE_2015_2045/releases/download/v1.4.0/data.zip">https://github.com/RE-Lab-Projects/TRY_DE_2015_2045/releases/download/v1.4.0/data.zip</a></li> </ol> </li> <li>Use or recreate the final dataset <ol> <li>use: Final datasets are then located in -> <code>3_processed-data</code></li> <li>recreate: run the <code>process-data.py</code></li> </ol> </li> </ol> <p><strong>Test reference stations / regions</strong></p> <p>No. | lon | lat | station | region<br> 1 | 53.5591 | 8.5872 | Bremerhaven | Nordseeküste<br> 2 | 54.0878 | 12.1088 | Rostock | Ostseeküste<br> 3 | 53.5299 | 10.0078 | Hamburg | Nordwestdeutsches Tiefland<br> 4 | 52.3938 | 13.0651 | Potsdam | Nordostdeutsches Tiefland<br> 5 | 51.4562 | 7.0568 | Essen | Niederrheinisch-westfälische Bucht und Emsland<br> 6 | 550.6461 | 7.9426 | Bad Marienburg | Nördliche und westliche Mittelgebirge, Randgebiete<br> 7 | 51.3334 | 9.4725 | Kassel | Nördliche und westliche Mittelgebirge, zentrale Bereiche<br> 8 | 51.7239 | 10.6069 | Braunlage | Oberharz und Schwarzwald (mittlere Lagen)<br> 9 | 50.8233 | 12.9181 | Chemnitz | Thüringer Becken und Sächsisches Hügelland<br> 10 | 50.3226 | 11.9124 | Hof | Südöstliche Mittelgebirge bis 1000 m<br> 11 | 50.4312 | 12.9522 | Fichtelberg | Erzgebirge, Böhmer- und Schwarzwald oberhalb 1000 m<br> 12 | 49.4902 | 8.4637 | Mannheim | Oberrheingraben und unteres Neckartal<br> 13 | 48.2432 | 12.5286 | Mühldorf | Schwäbisch-fränkisches Stufenland und Alpenvorland<br> 14 | 48.6536 | 9.8666 | Stötten | Schwäbische Alb und Baar<br> 15 | 47.4945 | 11.1046 | Garmisch Partenkirchen | Alpenrand und -täler</p> <p><strong>Content</strong></p> <ul> <li><strong>files</strong>: 90 test reference years (TRY) <pre><code>15 test reference regions x 3 reference conditions (average year, extreme summer, extreme winter) x 2 reference projections (year 2015 and year 2045) </code></pre> </li> <li><strong>columns per file</strong>: <pre><code>datetime [yyyy-MM-dd hh:mm:ss+01:00/02:00] temperature [degC] pressure [hPa] wind direction [deg] wind speed [m/s] cloud coverage [1/8] humidity [%] direct irradiance [W/m^2] diffuse irradiance [W/m^2] synthetic global irradiance [W/m^2] synthetic diffuse irradiance [W/m^2] clear sky irradiance [W/m^2] </code></pre> </li> <li><strong>length</strong>: 1 year</li> <li><strong>time increment</strong>: 60s / 900s / 3600s</li> </ul> <p><strong>Important hints</strong>:</p> <ul> <li>all files in <code>3_processed-data</code> were calculated with the skript <code>process-data.py</code></li> <li><em>A value with, for example, a timestamp 12:00:00 represents the mean value from this timestamp until the following timestamp.</em></li> <li><em>datetime column is in CET / CEST</em></li> </ul>
Resampled FY4A GIIRS radiances from targeted observations for Typhoon Maria(2018) with high temporal resolution of 15 minutes
<p><strong>GIIRS_SSEC_Maria.tar.gz</strong> is the FY-4A GIIRS targeted observations for Typhoon Maria(2018) with 15 minutes temporal resolution, 00z – 23z 10 July, 2018. The radiances are re-sampled data generated at Space Science and Engineering Center of the University of Wisconsin-Madison. These are the data used in the study of Ma et al.(2021).</p> <p>The HDF files are the original GIIRS targeted observations for Typhoon Maria (2018) with 15 minutes temporal resolution which are used in the study of Yin et al.(2021). These radiances have not been re-sampled and for details please refer to Version 1.0 of this dataset: http://doi.org/10.5281/zenodo.4656877 (Han & Yin, 2021).</p>
Geologic Map of Ceres [Dawn Mission] - Global dataset based on the 15 individual quadrangle maps
<p><strong>Background:</strong> Between 2011 and 2018, the NASA Dawn spacecraft visited asteroid (4) Vesta and dwarf planet (1) Ceres to investigate the surfaces of both protoplanets through optical and hyperspectral imaging and their composition through gamma-ray and neutron spectroscopy from orbit.<br> For both Vesta and Ceres, a geologic mapping investigation was realized based on optical and hyperspectral data as well as a photogrammetrically derived digital terrain model. For the global mapping investigation, mappers employed Geographic Information System (GIS) software to map 15 quadrangles. The results were published as individual map sheets alongside research papers discussing the geologic evolution. The style of collaborative mapping to produce a consistent global view represented by individual quadrangle maps is comparably new despite abundantly available mapping experiences. Ongoing data acquisition during mapping created considerable challenges for the coordination and homogenization of mapping results.</p> <p>To handle this issue simultaniously to the active mission phase as best as possible a GIS-based environment was needed in order to conduct one homogenous dataset (w.r.t. geometrical and visual character) that represents one geologically-consistent map at the end. Therefore, the mapping team was supported by an predefined mapping template which was generated in the proprietary ArcGIS environment. The template contains different layers (called feature classes) for the different object/geomoetry types and contains predefined attribute values as well as cartographic symbols. The cartographic symbols follow international standards as far as possible. The colours for the geological units refering to established colour values used in geologic maps, e.g., standardized planetary maps generated by USGS, but considering individual needs and requests within the mapping team, too.<br> <br> The <strong>data product pubished here</strong> based on the mentioned GIS-based template and represents the merged global GIS-dataset of the 15 individually conducted geological maps of Ceres within the Dawn Mission. The detailed descriptions of all those scientific interpretions are published in the papers listed within the reference section. Based on team-internal decisions the dataset is provided within the properitary format of ESRIs ArcGIS environment. However, in order to use the data product also outside this software environment, single shapefiles with additional information about the symbology are also included. All available data are available within the compressed folder and the readme-file gives some informative remarks for the useage of the data</p> <p><strong>Additional remark: </strong>The data set provided here does not represent a holistic (in term of topological and scientifical) unification of the 15 individual mapping data as primarily geometric and content-related inconsistencies at quadrangle boundaries prohibited a unified compilation. On the one side, this is due to the fact that the the aim of the mapping project was not to produce a uniform global map, but rather to gain a first impression of the geology of Ceres and publish associated scientific papers. On the other side, that the geological mapping project ran parallel to the regular mission phase, and a finalizing review process for creating a global geological dataset wasn´t scheduled in the mission planning. This deficiency cannot be remedied simply by merging topological missmatches or changing the visualisation. Rather it will require ongoing and detailed scientific discussion of the interpretation results, which could be solved within an updating version of the global map.</p>
Dataset of Linkability Networks of Ethereum Accounts Involved in NFT trading of Top 15 NFT Collections
<p>The data is organized in 32 files:</p> <ul> <li> <p>collection_metadata.txt stores basic information about each collection that was analyzed. The graph data of the collection is stored in a file named as the nickname of the collection (slug column in collection_metadata.txt). The most important columns/properties are: rank, slug – nickname, creation date, address, and volume data, ...</p> </li> <li> <p>15 files reporting NFT ownership transfer, the names corresponding to the nicknames of the collections in collection_metadata.txt.</p> </li> <li> <p>15 files with graph data, the names correspond to the nicknames of the collections in collection_metadata.txt. Each file gives the address linkage graph of one of the top 15 collections according to monetary volume on Opensea marketplace, computed as presented in methodology, exclusively on Ethereum blockchain.</p> </li> </ul>
High frequency temperature and dissolved oxygen data from 15 Adirondack lakes during the 2021 warm season
A full understanding of the contemporary status of lake dissolved oxygen and thermal habitat in the face of global change is enhanced by high-frequency monitoring that goes beyond periodic water column profiles of temperature and dissolved oxygen. The data contained herein were used to examine the relationship between both concurrent warming and increasing dissolved organic carbon (DOC) concentrations, and oxythermal habitat status for cold-water species. To obtain high resolution oxythermal habitat characteristics, fifteen lakes in the Adirondack Park of northern New York state were monitored from mid-June to mid-October of 2021. Lakes were outfitted with high-frequency temperature and dissolved oxygen logger chains located in most cases at the deepest point of each lake. Temperature loggers were placed throughout the water column while dissolved oxygen loggers were positioned to best capture low-oxygen portions of the water column based on data from previous years. To enhance vertical resolution, high-frequency data were supplemented with periodic water column profiles. In addition, to provide a comprehensive regional perspective, we include historical DOC and depth data from more than 1,400 Adirondack lakes. Finally, to enhance understanding of fish response to temperature, we include body temperature data from tagged brook trout for two of our intensively monitored lakes during part of the 2023 stratified period.
Photosynthetically Active Radiation data taken with the Delta-T SunScan wand every 15 cm of 1m x 1m chamber flux and point frame plots as well as four remotely monitored canopies at the Toolik Field Station in AK, Summer 2012.
Within-canopy PAR was measured with a Delta-T SunScan wand every 15 cm from the ground to above the canopy under both direct and diffuse light. The data includes all outputs from the SunScan wand: time of measurement, spread of PAR sensors, total irradiance, total diffuse light, and individual outputs of 64-PAR sensors on the SunScan wand. These measurements were taken for 1m x 1m chamber flux (n=14) and point frame (n=19) plots as well as sites four montitored remotely by PAR sensors located above, within, and below shrub canopies. All plots were dominated either by tall Salix pulchra and Betula nana species and were located near the LTER shrub plots at Toolik Field Station , AK in the summer of 2012.
White Spruce NPP per tree and per ha averaged across a 15 year period (1993 to 2008)
This data set is derived from BNZ LTER inventory plots, where DBH of all trees is measured every 3 to 4 years, and increment changes in AG biomass are derived from allometric equations. Data included in this file were obtained from 1993, 1997, 2000, 2004 and 2008 inventories. Data are reported by diameter sizeclass (10 cm increments), and include NPP (averaged across all trees within each landscape and successional stage) expressed on a per tree (kg biomass/tree/year) and a per ha (kg biomass/ha/year) basis.
Map of ecological sites and ecological states for pastures 1, 4, 14, and 15 on the Chihuahuan Desert Rangeland Research Center, New Mexico
This data package includes an ArcMap geodatabase for the Chihuahuan Desert Rangeland Research Center (CDRRC) pastures 1, 4, 14, and 15: one polygon feature class, one point feature class, associated attribute tables and metadata. The spatial data, CDRRC1_4_14_15_StateMap_v1.gdb.zip, represents the ecological sites and states on Pastures 1, 4, 14 and 15 on the Chihuahuan Desert Rangeland Research Center, and includes field traverse data. CDRRC1_4_14_15_StateMapMetadata.pdf and TraversePointsMetadata.pdf contain the geospatial metadata provided by ArcMap. CDRRC1_4_14_15_StateMap_v1.csv is the attribute table associated with the state map’s polygon feature class, and TraversePoints.xlsx is the attribute table associated with the traverse points feature class and includes a sheet containing detailed attribute metadata.
Soil volumetric water content calculated from neutron hydroprobe data at 15 NPP study sites at the Jornada Basin LTER, 1989-2011 (Deprecated)
This data package contains soil water content data calculated from monthly neutron hydroprobe count measurements made at 15 net primary production (NPP) study locations on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Once a month, neutron probe measurements are made at 10 depths (where possible) at each of 10 access tubes at each of the 15 NPP sites using a neutron probe (CPN Model 503DR Hydroprobe). The raw dataset, also on EDI (knb-lter-jrn.210013001), consists of the count of thermalized neutrons at 30 cm depth intervals to a maximum depth of 300 cm. In this data package, the raw neutron counts have been converted to volumetric water content (VWC) to a maximum depth of 270 cm using calibration equations (deepest probe depths are excluded from VWC calculations). The NPP sites these measurements are made at represent the 5 dominant vegetation types of the Jornada Basin, which consist of 3 shrub (creosotebush, mesquite dune, and tarbush) and 2 grass (upland grassland and playa) types. Three NPP sites are located in each of the types. This data collection is ongoing with new data collected monthly. NOTE: This data package is deprecated and will not be updated in the future. These VWC values were calculated using a now-outdated calibration method. Values of VWC calculated with the improved and fully documented calibration method are available in another EDI data package (knb-lter-jrn.210013003).
Year 2001, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use (mainly forest) watershed, Fish Brook, Middleton, MA.
During 2001, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream, Fish Brook, Boxford, MA, draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (June – December). Discharge could not be determined due to inadequate rating curve. Several day gaps occur periodically due to removal for recalibration.
Year 2002, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining a moderate sized, mixed land use (mainly forest) watershed, Fish Brook, Middleton, MA.
During 2002, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream, Fish Brook, Boxford, MA, draining a moderate sized, mixed land use watershed. Measurements are for part of the ice free season (June – December). Discharge could not be determined due to inadequate rating curve and due to beaver activity. Several day gaps occur periodically due to removal for recalibration.
Year 2001, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2001, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland). Measurements are for part of the ice free season (June – December). Discharge is determined from stage using discharge vs stage regressions. Several day gaps occur periodically due to removal for recalibration.
Year 2002, 15 minute measurements of stage, water temperature, conductivity, dissolved oxygen, and pH in a small headwater stream draining draining a mainly forested catchment (55% forest + 19% wetland), Cart Cr., Newbury, MA.
Year 2002, continuous measurements, every 15 minutes, were made of stage, water temperature, conductivity, dissolved oxygen, and pH in Cart Creek, Newbury, MA, a small headwater stream draining a mainly forested catchment (55% forest + 19% wetland). Measurements are for part of the ice free season (June – December). Discharge is determined from stage using discharge vs stage regressions. Several day gaps occur periodically due to removal for recalibration.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.