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15,702 results for “history”

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zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Karl Olov Hedberg, <a href="http://www.wikidata.org/entity/Q5795297">http://www.wikidata.org/entity/Q5795297</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJan 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Charles Wilkes, <a href="http://www.wikidata.org/entity/Q119329">http://www.wikidata.org/entity/Q119329</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroOct 2021View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Ludwig Hermann Plate, <a href="http://www.wikidata.org/entity/Q88702">http://www.wikidata.org/entity/Q88702</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJan 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Stanislav Staněk, <a href="http://www.wikidata.org/entity/Q71875229">http://www.wikidata.org/entity/Q71875229</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJan 2024View details →
dryad40/100

Data from: Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior

<p>Animals rely on their experience to guide their next choice. In foraging-type tasks guided by history-dependent value, these experiences are typically integrated such that the weights of past events initially decay quickly over time but show a longer tail than expected by exponential decay. Rather, such integration is better described by a hyperbolic function. Hyperbolic integration affords sensitivity to both recent environmental dynamics and long-term trends, however the mechanism by which the brain implements this hyperbolic integration is unknown. We trained mice on a history-dependent, value-based decision task and found that the mice indeed showed hyperbolic decay on their weighting of past experience. However, the activity of history-encoding cortical neurons showed weighting with exponential decay. In resolving this apparent mismatch, we observed that cortical neurons encode history information heterogeneously across a wide variety of exponential time-constants, with the retrosplenial cortex (RSC) overrepresenting longer time-constants compared to other areas. A model that combines these diverse timescales of exponential history integration can recreate the heavy-tailed, hyperbolic history integration observed in behavior. In particular, time-constants of RSC neurons best matched the behavior, and optogenetic inactivation of RSC uniquely reduced the use of history information. These results indicate that behavior-relevant history information is maintained in neurons across multiple timescales in parallel, and suggest that the neural population in RSC is a critical reservoir of this information guiding decision-making.</p>

opencc-zeroJan 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Lucy Beamer, <a href="http://www.wikidata.org/entity/Q81216977">http://www.wikidata.org/entity/Q81216977</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJan 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Karl Patterson Schmidt, <a href="http://www.wikidata.org/entity/Q1397402">http://www.wikidata.org/entity/Q1397402</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroJan 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Eduard Pechuël-Loesche, <a href="http://www.wikidata.org/entity/Q111780">http://www.wikidata.org/entity/Q111780</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Roy Snelling, <a href="http://www.wikidata.org/entity/Q7373383">http://www.wikidata.org/entity/Q7373383</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Hugo Baum, <a href="http://www.wikidata.org/entity/Q107858">http://www.wikidata.org/entity/Q107858</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Eugène Poilane, <a href="http://www.wikidata.org/entity/Q1373543">http://www.wikidata.org/entity/Q1373543</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroNov 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Winifred Mary Adelaide Brooke, <a href="http://www.wikidata.org/entity/Q39319720">http://www.wikidata.org/entity/Q39319720</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Regression-Test History Data for Flaky Test-Research, Dataset

<p>The dataset comprises developer test results of Maven projects with flaky tests across a range of consecutive commits from the projects' git commit histories. The Maven projects are a subset of those investigated in an <a href="https://doi.org/10.1145/3428270">OOPSLA 2020 paper</a>. The commit range for this dataset has been chosen as the flakiness-introducing commit (FIC) and iDFlakies-commit (see the OOPSLA paper for details). The commit hashes have been obtained from the <a href="https://github.com/TestingResearchIllinois/idoft/blob/main/tic-fic-data.csv">IDoFT dataset</a>.</p> <p>The dataset will be presented at the <a href="https://conf.researchr.org/home/icse-2024/ftw-2024">1st International Flaky Tests Workshop 2024 (FTW 2024)</a>. Please refer to <a href="https://doi.org/10.1145/3643656.3643901">our extended abstract</a> for more details about the motivation for and context of this dataset.</p> <p>The following table provides a summary of the data.</p> <table> <tbody> <tr> <td><strong>Slug (Module)</strong></td> <td><strong>FIC Hash</strong></td> <td><strong>Tests</strong></td> <td><strong>Commits</strong></td> <td><strong>Av. Commits/Test</strong></td> <td><strong>Flaky Tests</strong></td> <td><strong>Tests w/ Consistent Failures</strong></td> <td><strong>Total Distinct Histories</strong></td> </tr> <tr> <td>TooTallNate/Java-WebSocket</td> <td>&nbsp; 822d40</td> <td>146</td> <td>&nbsp; 75</td> <td>&nbsp; 75</td> <td>24</td> <td>&nbsp;&nbsp; 1</td> <td>2.6x10^9</td> </tr> <tr> <td>apereo/java-cas-client (cas-client-core)</td> <td>&nbsp; 5e3655</td> <td>157</td> <td>&nbsp; 65</td> <td>61.7</td> <td>&nbsp; 3</td> <td>&nbsp;&nbsp; 2</td> <td>1.0x10^7</td> </tr> <tr> <td>eclipse-ee4j/tyrus (tests/e2e/standard-config)</td> <td>&nbsp; ce3b8c</td> <td>185</td> <td>&nbsp; 16</td> <td>&nbsp; 16</td> <td>12</td> <td>&nbsp;&nbsp; 0</td> <td>&nbsp;&nbsp; 261</td> </tr> <tr> <td>feroult/yawp (yawp-testing/yawp-testing-appengine)</td> <td>&nbsp; abae17</td> <td>&nbsp;&nbsp;&nbsp; 1</td> <td>191</td> <td>191</td> <td>&nbsp; 1</td> <td>&nbsp;&nbsp; 1</td> <td>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8</td> </tr> <tr> <td>fluent/fluent-logger-java</td> <td>&nbsp;&nbsp; 5fd463</td> <td>&nbsp; 19</td> <td>131</td> <td>105.6</td> <td>11</td> <td>&nbsp;&nbsp; 2</td> <td>8.0x10^32</td> </tr> <tr> <td>fluent/fluent-logger-java</td> <td>&nbsp; 87e957</td> <td>&nbsp; 19</td> <td>160</td> <td>122.4</td> <td>11</td> <td>&nbsp;&nbsp; 3</td> <td>2.1x10^31</td> </tr> <tr> <td>javadelight/delight-nashorn-sandbox</td> <td>&nbsp; d0d651</td> <td>&nbsp; 81</td> <td>113</td> <td>100.6</td> <td>&nbsp; 2</td> <td>&nbsp;&nbsp; 5</td> <td>4.2x10^10</td> </tr> <tr> <td>javadelight/delight-nashorn-sandbox</td> <td>&nbsp; d19eee</td> <td>&nbsp; 81</td> <td>&nbsp; 93</td> <td>83.5</td> <td>&nbsp; 1</td> <td>&nbsp;&nbsp; 5</td> <td>2.6x10^9</td> </tr> <tr> <td>sonatype-nexus-community/nexus-repository-helm</td> <td>&nbsp; 5517c8</td> <td>&nbsp; 18</td> <td>&nbsp; 32</td> <td>&nbsp; 32</td> <td>&nbsp; 0</td> <td>&nbsp;&nbsp; 0</td> <td>&nbsp;&nbsp;&nbsp;&nbsp; 18</td> </tr> <tr> <td>spotify/helios (helios-services)</td> <td>&nbsp;&nbsp;&nbsp; 23260</td> <td>190</td> <td>448</td> <td>448</td> <td>&nbsp; 0</td> <td>&nbsp;37</td> <td>&nbsp;&nbsp; 190</td> </tr> <tr> <td>spotify/helios (helios-testing)</td> <td>&nbsp; 78a864</td> <td>&nbsp; 43</td> <td>474</td> <td>474</td> <td>&nbsp; 0</td> <td>&nbsp;&nbsp; 7</td> <td>&nbsp;&nbsp;&nbsp;&nbsp; 43</td> </tr> </tbody> </table> <p>&nbsp;</p> <p>The columns are composed of the following variables:</p> <ul> <li><strong>Slug (Module):</strong> The project's GitHub slug (i.e., the project's URL is https://github.com/{Slug}) and, if specified, the module for which tests have been executed.</li> <li><strong>FIC Hash:</strong> The flakiness-introducing commit hash for a known flaky test as described in this OOPSLA 2020 paper. As different flaky tests have different FIC hashes, there may be multiple rows for the same slug/module with different FIC hashes.&nbsp;</li> <li><strong>Tests:</strong> The number of distinct test class and method combinations over the entire considered commit range.</li> <li><strong>Commits:</strong> The number of commits in the considered commit range</li> <li><strong>Av. Commits/Test:</strong> The average number of commits per test class and method combination in the considered commit range. The number of commits may vary for each test class, as some tests may be added or removed within the considered commit range.</li> <li><strong>Flaky Tests:</strong> The number of distinct test class and method combinations that have more than one test result (passed/skipped/error/failure + exception type, if any + assertion message, if any) across 30 repeated test suite executions on at least one commit in the considered commit range.</li> <li><strong>Tests w/ Consistent Failures:</strong> The number of distinct test class and method combinations that have the same error or failure result (error/failure + exception type, if any + assertion message, if any) across all 30 repeated test suite executions on at least one commit in the considered commit range.</li> <li><strong>Total Distinct Histories:</strong> The number of distinct test results (passed/skipped/error/failure + exception type, if any + assertion message, if any) for all test class and method combinations along all commits for that test in the considered commit range.</li> </ul>

openother-openFeb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Canna Maria Louise Popta, <a href="http://www.wikidata.org/entity/Q22112442">http://www.wikidata.org/entity/Q22112442</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Forty-year fire history reconstruction from Landsat data in Mediterranean ecosystems of Algeria (1984–2023)

<p>We present the&nbsp;<strong>North Eastern ALGeria Burned Area (NEALGEBA)&nbsp;</strong>product&mdash;a high-resolution (30 m) BA dataset spanning 40 years (1984&ndash;2023) of fire history in typical Mediterranean Ecosystems of NE Algeria. Spatially explicit annual BA maps were systematically generated from Landsat collection 2 surface reflectance product (LC2SR) using the Burned Area Mapping Tools (BAMTs V1.7) (Roteta et al., 2021). This work is part of an urgent project to create a reliable and accurate country-level BA product for Algeria.<br><br><strong>Data files<br></strong>The NEALGEBA product is provided as 40 ESRI shapefile layers in the folder with the following attributes:</p> <ul> <li>Year: burn year in YYYY;</li> <li>BAMTs_date: burn detection date in MM/DD/YYYY, where DD is the day, MM is the month, and YYYY is the year. Note that this date is determined<br>based on the most frequently occurring date (the mode) for all pixels in each detected burned patch in the Landsat post-fire composite and does<br>not imperatively correspond to the effective date of burn;</li> <li>BA_ha: burned area in hectares;</li> <li>ADM_1: Wilaya (first-order administrative division);</li> <li>ADM_2: Baladiyah (second-order administrative division).</li> </ul> <p><strong>Geographical coverage</strong><br>Top: 37.088698&deg; N, Bottom: 36.218533&deg; N, Left: 3.717039&deg; E, Right: 8.683105&deg; E</p> <p><strong>Spatial reference system</strong><br>EPSG: 4326 (WGS 1984)</p>

opencc-by-4.0Feb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Annie Montague Alexander, <a href="http://www.wikidata.org/entity/Q509742">http://www.wikidata.org/entity/Q509742</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroFeb 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Anders Gustaf Dahlbom, <a href="http://www.wikidata.org/entity/Q2380013">http://www.wikidata.org/entity/Q2380013</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroMar 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Hildur Krog, <a href="http://www.wikidata.org/entity/Q5761759">http://www.wikidata.org/entity/Q5761759</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroMar 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Zoltán Kaszab, <a href="http://www.wikidata.org/entity/Q1105281">http://www.wikidata.org/entity/Q1105281</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroMar 2024View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Hans Kotzsch, <a href="http://www.wikidata.org/entity/Q5650323">http://www.wikidata.org/entity/Q5650323</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.

opencc-zeroMar 2024View details →

ScienceDex guides

Understand access before you commit

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