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103 results for “gbif”

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zenodo32/100

GBIF data summaries: GBIF nat__l node classification resource: Germany

GBIF—the Global Biodiversity Information Facility—is an international network and research infrastructure funded by the world__s governments and aimed at providing anyone, anywhere, open access to data about all types of life on Earth. <p></p>https://www.gbif.org

opennotspecifiedAug 2024View details →
zenodo32/100

Metrics: GBIF data coverage

<p>Includes species, genus and family level taxa.</p>

opennotspecifiedSep 2024View details →
zenodo32/100

Herbarium specimen records from GBIF used for Digi-Leap

<p><strong>We searched the GBIF database on September 11, 2023 for all specimens meeting the following criteria; members of Tracheophyta, collected in the United States, record containing a specimen image, preserved specimen type, english language and not cultivated. This search resulted in 4,091,778 records of which we randomly selected 2,000 to use for Digi-Leap development and training.</strong></p> <p>&nbsp;</p> <p><strong>All GBIF records have the prefix "DL_GBIF" and include a rights.txt file.</strong></p> <p><strong>There are 3 separate scoring files. One for each model; rule-based, GPT and ensemble.</strong></p>

openFeb 2024View details →
zenodo32/100

Information on literature sources from the GBIF dataset 'Earthworm occurrences from Russian-language literature'

<p>These data provide the detailed bibliographic information about sources, included in the GBIF dataset (DOI 10.15468/cvwpyu).&nbsp;The aim of the work is to extract data on earthworm occurrences&nbsp;from scientific literature published&nbsp;in Russian.&nbsp;We processed 159 articles, monographs, collections of theses and PhD theses.&nbsp;</p> <p>&nbsp;</p> <table> <tbody> <tr> <td>Field</td> <td>Description</td> </tr> <tr> <td>language</td> <td>ISO 639-1 language code indicating the source language of the referent publication</td> </tr> <tr> <td>authorsRU</td> <td>The author or authors of the referenced work in Russian</td> </tr> <tr> <td>authorsEN</td> <td>The author or authors of the referenced work in English</td> </tr> <tr> <td>publicationTitle</td> <td>Title of book or article in Russian</td> </tr> <tr> <td>&nbsp;journalIdentifier</td> <td>Identifier to the journal, monograph or abstract book</td> </tr> <tr> <td>journalTitleRU</td> <td>Title of journal or monograph in Russian</td> </tr> <tr> <td>journalTitleEN</td> <td>Title of journal or monograph in Russian</td> </tr> <tr> <td>type</td> <td>Publication type</td> </tr> <tr> <td>year</td> <td>Year of publication</td> </tr> <tr> <td>issue</td> <td>issue, volume or number</td> </tr> <tr> <td>bibliographicCitation</td> <td>A text string referring to an un-parsed bibliographic citation.</td> </tr> <tr> <td>identifier</td> <td>DOI, ISBN, URI, etc refering to the reference.</td> </tr> </tbody> </table>

opencc-by-4.0Aug 2023View details →
zenodo32/100

GBIF records for Krajewski et al. 2023

<p>GBIF occurrence records for a set of invasive plant species. Records were downloaded via the `rgbif` package without a DOI. We&#39;re uploading them here as a derived data set in order to properly link them back to GBIF.</p> <p>&nbsp;</p> <p>In order to get the file uploaded, I compressed it with zip. The .zip archive contains a single csv file. In order to export that from the data in R I included only a subset of the columns. This includes the ID columns from GBIF, so you can trace everything back to them should you need. There are 1.15 million records in total, so it&#39;s a bit unwieldy to work with.</p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Occurrence data download from GBIF for 115 tree species in Burundi

<p>Cleaned occurrence data from GBIF for 115 tree species in Burundi&nbsp;</p>

opencc-by-4.0Sep 2023View details →
zenodo28/100

GBIF based checklist of species found in Chile

<p>A checklist of species published by Chile and other countries about Chile, ideally containing the field scienticfNameID.</p> <p>GBIF Chile wishes to contrast the list of species obtained from GBIF for Chile, with the species that Chile has published in another information platform, such as the National Species Inventory of Chile.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

Bibliographic data from the GBIF literature tracking service

<p>This dataset is the result of a call to the GBIF resource API to gather bibliographic items citing GBIF or GBIF mobilised datasets, monitored through the GBIF literature tracking service.</p> <p>The zip contains a single JSON format datafile, which contains 9018 records.</p> <p>The URL used is: https://www.gbif.org/api/resource/search?contentType=literature&amp;limit=10000</p> <p>It was accessed on: 2020-03-03.</p>

opencc-by-4.0Dec 2019View details →
zenodo28/100

GBIF Occurrences of Rhamnus alnifolia

<p>This custom download contains the occurrences of Rhamnus alnifolia available on GBIF.org.</p> <p>Due to some issue described here:&nbsp;<a href="https://github.com/gbif/portal-feedback/issues/2749">https://github.com/gbif/portal-feedback/issues/2749</a>, it is currently not possible to generate a download of the occurrences with the name Rhamnus alnifolia. Therefore we queried the verbatim names in our database.&nbsp;</p> <p>SQL query: &ldquo;WHERE v_scientificname LIKE &#39;Rhamnus alnifolia%&#39;&rdquo;.</p> <p>Number of occurrences: 3316</p> <p>Format: tab-delimited and the fields included in the download are the same as in a SIMPLE download from GBIF.</p> <p>Contributing datasets:</p> <p><a href="https://www.gbif.org/dataset/b2d55172-8980-4195-9632-a186edb27d5a">https://www.gbif.org/dataset/b2d55172-8980-4195-9632-a186edb27d5a</a></p> <p><a href="https://www.gbif.org/dataset/db9e34bd-e647-46bd-9f9d-ffee56a5d3c4">https://www.gbif.org/dataset/db9e34bd-e647-46bd-9f9d-ffee56a5d3c4</a></p> <p><a href="https://www.gbif.org/dataset/d415c253-4d61-4459-9d25-4015b9084fb0">https://www.gbif.org/dataset/d415c253-4d61-4459-9d25-4015b9084fb0</a></p> <p><a href="https://www.gbif.org/dataset/a36438d0-bec7-4b7b-9bfa-2c31e7610c39">https://www.gbif.org/dataset/a36438d0-bec7-4b7b-9bfa-2c31e7610c39</a></p> <p><a href="https://www.gbif.org/dataset/7bd65a7a-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/7bd65a7a-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425ef4a7">https://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425ef4a7</a></p> <p><a href="https://www.gbif.org/dataset/5288946d-5fcf-4b53-8fd3-74f4cc6b53fc">https://www.gbif.org/dataset/5288946d-5fcf-4b53-8fd3-74f4cc6b53fc</a></p> <p><a href="https://www.gbif.org/dataset/ed6ee121-1b4c-4382-bd4d-2128aa47c202">https://www.gbif.org/dataset/ed6ee121-1b4c-4382-bd4d-2128aa47c202</a></p> <p><a href="https://www.gbif.org/dataset/e45c7d91-81c6-4455-86e3-2965a5739b1f">https://www.gbif.org/dataset/e45c7d91-81c6-4455-86e3-2965a5739b1f</a></p> <p><a href="https://www.gbif.org/dataset/b5cdf794-8fa4-4a85-8b26-755d087bf531">https://www.gbif.org/dataset/b5cdf794-8fa4-4a85-8b26-755d087bf531</a></p> <p><a href="https://www.gbif.org/dataset/1edd3c3f-cfd7-4fd5-bfba-2c67737a17ba">https://www.gbif.org/dataset/1edd3c3f-cfd7-4fd5-bfba-2c67737a17ba</a></p> <p><a href="https://www.gbif.org/dataset/c8d12f8a-7e39-4e2c-92d7-825d590ad15b">https://www.gbif.org/dataset/c8d12f8a-7e39-4e2c-92d7-825d590ad15b</a></p> <p><a href="https://www.gbif.org/dataset/15f819bd-6612-4447-854b-14d12ee1022d">https://www.gbif.org/dataset/15f819bd-6612-4447-854b-14d12ee1022d</a></p> <p><a href="https://www.gbif.org/dataset/821cc27a-e3bb-4bc5-ac34-89ada245069d">https://www.gbif.org/dataset/821cc27a-e3bb-4bc5-ac34-89ada245069d</a></p> <p><a href="https://www.gbif.org/dataset/56e9c560-bd2a-11dd-b15e-b8a03c50a862">https://www.gbif.org/dataset/56e9c560-bd2a-11dd-b15e-b8a03c50a862</a></p> <p><a href="https://www.gbif.org/dataset/17d312c2-9ab3-4aca-a383-6af5fb79dca0">https://www.gbif.org/dataset/17d312c2-9ab3-4aca-a383-6af5fb79dca0</a></p> <p><a href="https://www.gbif.org/dataset/1060a696-f6a2-4341-92ef-47a63babbea1">https://www.gbif.org/dataset/1060a696-f6a2-4341-92ef-47a63babbea1</a></p> <p><a href="https://www.gbif.org/dataset/1064b787-c882-493e-b17d-4ffba363b776">https://www.gbif.org/dataset/1064b787-c882-493e-b17d-4ffba363b776</a></p> <p><a href="https://www.gbif.org/dataset/834c9918-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/834c9918-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/e42c4be9-dc6d-466b-8df2-60ac8c47fadd">https://www.gbif.org/dataset/e42c4be9-dc6d-466b-8df2-60ac8c47fadd</a></p> <p><a href="https://www.gbif.org/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b">https://www.gbif.org/dataset/90c853e6-56bd-480b-8e8f-6285c3f8d42b</a></p> <p><a href="https://www.gbif.org/dataset/040c5662-da76-4782-a48e-cdea1892d14c">https://www.gbif.org/dataset/040c5662-da76-4782-a48e-cdea1892d14c</a></p> <p><a href="https://www.gbif.org/dataset/8375dada-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/8375dada-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/0943f690-fde5-11dd-83f4-b8a03c50a862">https://www.gbif.org/dataset/0943f690-fde5-11dd-83f4-b8a03c50a862</a></p> <p><a href="https://www.gbif.org/dataset/84c6cb56-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/84c6cb56-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/72c4d3c6-5b8d-49f5-bfbe-febd53849588">https://www.gbif.org/dataset/72c4d3c6-5b8d-49f5-bfbe-febd53849588</a></p> <p><a href="https://www.gbif.org/dataset/7827f68d-c981-4023-bace-288a03434044">https://www.gbif.org/dataset/7827f68d-c981-4023-bace-288a03434044</a></p> <p><a href="https://www.gbif.org/dataset/cb9beff3-a185-486f-975a-732251444158">https://www.gbif.org/dataset/cb9beff3-a185-486f-975a-732251444158</a></p> <p><a href="https://www.gbif.org/dataset/f934f8e2-32ca-46a7-b2f8-b032a4740454">https://www.gbif.org/dataset/f934f8e2-32ca-46a7-b2f8-b032a4740454</a></p> <p><a href="https://www.gbif.org/dataset/c4a5efee-4c61-45d8-bd7a-6275b2388308">https://www.gbif.org/dataset/c4a5efee-4c61-45d8-bd7a-6275b2388308</a></p> <p><a href="https://www.gbif.org/dataset/c5da77b7-7423-49a4-a379-f423ea0f07b8">https://www.gbif.org/dataset/c5da77b7-7423-49a4-a379-f423ea0f07b8</a></p> <p><a href="https://www.gbif.org/dataset/1c334170-7ed1-11df-8c4a-0800200c9a66">https://www.gbif.org/dataset/1c334170-7ed1-11df-8c4a-0800200c9a66</a></p> <p><a href="https://www.gbif.org/dataset/49e223ed-ab24-478f-b5e8-4a15af5a8f6c">https://www.gbif.org/dataset/49e223ed-ab24-478f-b5e8-4a15af5a8f6c</a></p> <p><a href="https://www.gbif.org/dataset/84aa5ee4-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/84aa5ee4-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/f3f03cbf-1a01-4739-ae15-c1355b8c2dbf">https://www.gbif.org/dataset/f3f03cbf-1a01-4739-ae15-c1355b8c2dbf</a></p> <p><a href="https://www.gbif.org/dataset/07fd0d79-4883-435f-bba1-58fef110cd13">https://www.gbif.org/dataset/07fd0d79-4883-435f-bba1-58fef110cd13</a></p> <p><a href="https://www.gbif.org/dataset/1e61b812-b2ec-43d0-bdbb-8534a761f74c">https://www.gbif.org/dataset/1e61b812-b2ec-43d0-bdbb-8534a761f74c</a></p> <p><a href="https://www.gbif.org/dataset/b6d66b0c-d2eb-44b5-be52-62171411c5ad">https://www.gbif.org/dataset/b6d66b0c-d2eb-44b5-be52-62171411c5ad</a></p> <p><a href="https://www.gbif.org/dataset/b740eaa0-0679-41dc-acb7-990d562dfa37">https://www.gbif.org/dataset/b740eaa0-0679-41dc-acb7-990d562dfa37</a></p> <p><a href="https://www.gbif.org/dataset/861e6afe-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/861e6afe-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/2fd02649-fc08-4957-9ac5-2830e072c097">https://www.gbif.org/dataset/2fd02649-fc08-4957-9ac5-2830e072c097</a></p> <p><a href="https://www.gbif.org/dataset/5325ba61-44e7-4d92-ac11-868b3294b3bb">https://www.gbif.org/dataset/5325ba61-44e7-4d92-ac11-868b3294b3bb</a></p> <p><a href="https://www.gbif.org/dataset/27b4ff4b-29c3-4017-9c48-3750861392f7">https://www.gbif.org/dataset/27b4ff4b-29c3-4017-9c48-3750861392f7</a></p> <p><a href="https://www.gbif.org/dataset/96c33790-a2b5-11de-9f79-b8a03c50a862">https://www.gbif.org/dataset/96c33790-a2b5-11de-9f79-b8a03c50a862</a></p> <p><a href="https://www.gbif.org/dataset/1984c441-b52a-4ced-ba2f-9a2c4fa1898b">https://www.gbif.org/dataset/1984c441-b52a-4ced-ba2f-9a2c4fa1898b</a></p> <p><a href="https://www.gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882">https://www.gbif.org/dataset/7fd12114-9010-4c13-8f46-990fe04ca882</a></p> <p><a href="https://www.gbif.org/dataset/9168f50d-350e-4af1-ba97-17274f1faeaf">https://www.gbif.org/dataset/9168f50d-350e-4af1-ba97-17274f1faeaf</a></p> <p><a href="https://www.gbif.org/dataset/9781ce05-2379-4a10-ab3b-c91346510df8">https://www.gbif.org/dataset/9781ce05-2379-4a10-ab3b-c91346510df8</a></p> <p><a href="https://www.gbif.org/dataset/e05fd4c2-4d77-4c50-880e-1b22096af300">https://www.gbif.org/dataset/e05fd4c2-4d77-4c50-880e-1b22096af300</a></p> <p><a href="https://www.gbif.org/dataset/5678b0b3-450b-4513-82e1-2b32c3c50b54">https://www.gbif.org/dataset/5678b0b3-450b-4513-82e1-2b32c3c50b54</a></p> <p><a href="https://www.gbif.org/dataset/0348540a-e644-4496-89d3-c257da9ad776">https://www.gbif.org/dataset/0348540a-e644-4496-89d3-c257da9ad776</a></p> <p><a href="https://www.gbif.org/dataset/bf2a4bf0-5f31-11de-b67e-b8a03c50a862">https://www.gbif.org/dataset/bf2a4bf0-5f31-11de-b67e-b8a03c50a862</a></p> <p><a href="https://www.gbif.org/dataset/963f12d0-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/963f12d0-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/9b7d1acf-b22f-4a1f-b6e8-f1ddd744dc07">https://www.gbif.org/dataset/9b7d1acf-b22f-4a1f-b6e8-f1ddd744dc07</a></p> <p><a href="https://www.gbif.org/dataset/cd4cd181-ae56-4595-8c80-d4311654ad03">https://www.gbif.org/dataset/cd4cd181-ae56-4595-8c80-d4311654ad03</a></p> <p><a href="https://www.gbif.org/dataset/2d18c666-ee2b-40a3-a708-280ea19c0fbc">https://www.gbif.org/dataset/2d18c666-ee2b-40a3-a708-280ea19c0fbc</a></p> <p><a href="https://www.gbif.org/dataset/95c938a8-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/95c938a8-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/8477542c-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/8477542c-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/f387a2f0-6f4f-47ec-82dd-9cc24914dd53">https://www.gbif.org/dataset/f387a2f0-6f4f-47ec-82dd-9cc24914dd53</a></p> <p><a href="https://www.gbif.org/dataset/7e380070-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/7e380070-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/1804436b-6a12-4fcc-a372-531cc23a41c4">https://www.gbif.org/dataset/1804436b-6a12-4fcc-a372-531cc23a41c4</a></p> <p><a href="https://www.gbif.org/dataset/c1a13bf0-0c71-11dd-84d4-b8a03c50a862">https://www.gbif.org/dataset/c1a13bf0-0c71-11dd-84d4-b8a03c50a862</a></p> <p><a href="https://www.gbif.org/dataset/7c5e863f-3f70-4933-b05d-fc57c66dd3f3">https://www.gbif.org/dataset/7c5e863f-3f70-4933-b05d-fc57c66dd3f3</a></p> <p><a href="https://www.gbif.org/dataset/89c53edb-0fac-4118-bdc0-d70ca50953dc">https://www.gbif.org/dataset/89c53edb-0fac-4118-bdc0-d70ca50953dc</a></p> <p><a href="https://www.gbif.org/dataset/0df1ebee-0ce6-4fe1-9cd7-ee959670a880">https://www.gbif.org/dataset/0df1ebee-0ce6-4fe1-9cd7-ee959670a880</a></p> <p><a href="https://www.gbif.org/dataset/a92de2e1-647c-43f2-a8b7-ab1c1a6453dd">https://www.gbif.org/dataset/a92de2e1-647c-43f2-a8b7-ab1c1a6453dd</a></p> <p><a href="https://www.gbif.org/dataset/2429287b-ef65-4cfd-afcc-11cc3ba95cca">https://www.gbif.org/dataset/2429287b-ef65-4cfd-afcc-11cc3ba95cca</a></p> <p><a href="https://www.gbif.org/dataset/707e1918-0999-4f2f-9ad1-22c0be104861">https://www.gbif.org/dataset/707e1918-0999-4f2f-9ad1-22c0be104861</a></p> <p><a href="https://www.gbif.org/dataset/68829f71-56b1-4015-a363-ef8f0e1d6e4f">https://www.gbif.org/dataset/68829f71-56b1-4015-a363-ef8f0e1d6e4f</a></p> <p><a href="https://www.gbif.org/dataset/54086159-ab02-4669-bc8a-0ad4be3dbfef">https://www.gbif.org/dataset/54086159-ab02-4669-bc8a-0ad4be3dbfef</a></p> <p><a href="https://www.gbif.org/dataset/9261ca90-4b88-491d-bcc8-db3470441689">https://www.gbif.org/dataset/9261ca90-4b88-491d-bcc8-db3470441689</a></p> <p><a href="https://www.gbif.org/dataset/8465fd6c-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/8465fd6c-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/c01696db-a5fe-4d3a-8b26-90760604774b">https://www.gbif.org/dataset/c01696db-a5fe-4d3a-8b26-90760604774b</a></p> <p><a href="https://www.gbif.org/dataset/99e6b736-3119-4081-9467-a9c8a4a7a01b">https://www.gbif.org/dataset/99e6b736-3119-4081-9467-a9c8a4a7a01b</a></p> <p><a href="https://www.gbif.org/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8">https://www.gbif.org/dataset/d9522343-146c-4d6b-b312-543d4d8ca0e8</a></p> <p><a href="https://www.gbif.org/dataset/4f64e2fc-a84b-49f6-802f-e48f725717d7">https://www.gbif.org/dataset/4f64e2fc-a84b-49f6-802f-e48f725717d7</a></p> <p><a href="https://www.gbif.org/dataset/b22b10e7-86da-4b80-8f49-f3f958a2463d">https://www.gbif.org/dataset/b22b10e7-86da-4b80-8f49-f3f958a2463d</a></p> <p><a href="https://www.gbif.org/dataset/832cb04e-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/832cb04e-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/e8a25a42-f125-476c-8554-3ec21cd51a84">https://www.gbif.org/dataset/e8a25a42-f125-476c-8554-3ec21cd51a84</a></p> <p><a href="https://www.gbif.org/dataset/e523cf2d-4fc2-48d8-aa75-80ecbc90b3f5">https://www.gbif.org/dataset/e523cf2d-4fc2-48d8-aa75-80ecbc90b3f5</a></p> <p><a href="https://www.gbif.org/dataset/46239994-a621-4d41-9556-e53e0e9bed63">https://www.gbif.org/dataset/46239994-a621-4d41-9556-e53e0e9bed63</a></p> <p><a href="https://www.gbif.org/dataset/834a4794-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/834a4794-f762-11e1-a439-00145eb45e9a</a></p> <p><a href="https://www.gbif.org/dataset/ae33dc82-0bc2-43b5-b69b-65bf858f1e7a">https://www.gbif.org/dataset/ae33dc82-0bc2-43b5-b69b-65bf858f1e7a</a></p> <p><a href="https://www.gbif.org/dataset/8310f570-f762-11e1-a439-00145eb45e9a">https://www.gbif.org/dataset/8310f570-f762-11e1-a439-00145eb45e9a</a></p>

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GBIF custom download of all ocean data from: Establishing the foundation for the global observing system for marine life

<p>This archive has 3&nbsp;files:&nbsp;</p> <p>ocean_map.pdf - A map of&nbsp;coastal and marine records used to filter GBIF datasets.</p> <p>citations.txt - a list of citation descriptions of all of the datasets used in the export.&nbsp;</p> <p>ocean_datasets_export.tsv -&nbsp;GBIF custom export from&nbsp;4 August 2020</p> <ul> <li>datasetkey : GBIF datasetkey&nbsp;</li> <li>datasetname : GBIF dataset name</li> <li>publisher : GBIF publisher name</li> <li>publishingorgkey : GBIF publisher key</li> <li>ocean_occ_count : How many occurrences occurred in the ocean</li> <li>occ_count_total : Total occurrences in the ocean&nbsp;</li> <li>number_of_years : Number of years the dataset&nbsp;published occurrences</li> <li>unique_years : Unique values of published years separated by ;</li> <li>percent_in_ocean : Percentage of dataset&#39;s occurrences that fall within the polygons from ocean_map.pdf</li> <li>is_sampling_event : is the dataset marked as a sampling event dataset by GBIF?&nbsp;</li> <li>is_obis : is the dataset published by OBIS?&nbsp;</li> <li>is_past_10_years : has the dataset been published in the last 10 years?&nbsp;</li> </ul> <p>&nbsp;</p>

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FIGURE 2 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 2. One of Linsenmaier's manuscript sheets on Smith's types.

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FIGURE 8 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 8. Image from Perraudin's collection (box 30 x 40 cm), box number 1001.

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FIGURE 5 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 5. Image from the Types-collection, medium-large box (30 x 40 cm), box number 1.

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FIGURE 12 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 12. Neochrysis alabamensis (Mocsáry). Image taken from the manuscripts.

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FIGURE 4 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 4. General collection, medium box (25 x 30 cm), box number 1116.

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FIGURE 3 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 3. General collection, large box (32 x 56 cm), box number 1132.

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FIGURE 1. Parnopes grandior linsenmaieri Agnoli, 1995 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 1. Parnopes grandior linsenmaieri Agnoli, 1995. Photo: Marcello Romano.

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FIGURE 10 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 10. The new plastic unit with USI labels.

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FIGURE 9 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 9. Image from the duplicates-collection, small box (19 x 26 cm), box number 14.

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FIGURE 7 in The Linsenmaier Chrysididae collection housed in the Natur-Museum Luzern (Switzerland) and the main results of the related GBIF Hymenoptera Project (Insecta)

FIGURE 7. Image from Naef's collection (box 30 x 40 cm), box number 1015.

opennotspecifiedDec 2015View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record