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11,177 results for “identify”

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zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Gustaf Emanuel Haglund, <a href="http://www.wikidata.org/entity/Q21393797">http://www.wikidata.org/entity/Q21393797</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Mary Martha Vile Eaton Davey, <a href="http://www.wikidata.org/entity/Q115020987">http://www.wikidata.org/entity/Q115020987</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Carl W. Kirkwood, <a href="http://www.wikidata.org/entity/Q122949483">http://www.wikidata.org/entity/Q122949483</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Paul du Chaillu, <a href="http://www.wikidata.org/entity/Q749495">http://www.wikidata.org/entity/Q749495</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 2023View details →
zenodo40/100

AEWDAT - African Easterly Waves: Identified and Tracked Wave Troughs

<p>This data set contains identified wave troughs within African Easterly Waves, utilizing 700 hPa curvature vorticity data from the ERA5 reanalysis spanning from June to October over the period 1940-2022. It encompasses all identified wave troughs and also includes extracted tracks derived from these identified features.</p> <p>The identification methodology closely follows the approach outlined by Belanger et al. (2016). Troughs and ridges are determined as zeros in Curvature Vorticity Advection fields. Threshold criteria, based on a climatology and the second derivative, are applied to extract the troughs. Tracking is accomplished through a heuristic that connects wave troughs meeting specified criteria for speed and average speed over a 36-hour period.</p> <p>The JSON files within this dataset provide a description of the wave troughs, structured as follows:</p> <ol> <li>Each file contains one year of data, with one set each.</li> <li>Each set includes: <ul> <li>A list of timestamps, where each timestamp contains the identified troughs at a specific time. Each time entry contains a list of objects (wave troughs), with each containing a set-unique identifier and properties describing the wave trough, such as its bounding box and line string representation.</li> <li>The data graph, consisting of a list of edges, wherein each edge connects one parent object to multiple child objects, forming the tracking graph. A connection between a parent and child indicates that they represent the same wave trough entity, with the child being the next manifestation of the parent entity along the time line.</li> <li>A list of tracks, with each track represented as a data graph as well.</li> </ul> </li> </ol> <p>Furthermore, a zip-file (wtsnc.zip) contains netCDF representations of the wavetroughs as labeled data field, where the labels correspond to the identifier in the JSON file. The file contains fields for all wavetroughs, only wavetroughs making up the tracks, and the tracks labeled by track ID. Be careful when extracting, the data is heavily compressed.</p> <p>Further information regarding this strategy can be found in an upcoming publication, soon to be submitted for review.</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Ottilie Diana Chermock, <a href="http://www.wikidata.org/entity/Q112978450">http://www.wikidata.org/entity/Q112978450</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Rasmus William Traugott Schlick, <a href="http://www.wikidata.org/entity/Q114700211">http://www.wikidata.org/entity/Q114700211</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Terry Lee Erwin, <a href="http://www.wikidata.org/entity/Q3518898">http://www.wikidata.org/entity/Q3518898</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Robert E. Roughley, <a href="http://www.wikidata.org/entity/Q61813134">http://www.wikidata.org/entity/Q61813134</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Terry A. Wheeler, <a href="http://www.wikidata.org/entity/Q22114212">http://www.wikidata.org/entity/Q22114212</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by F. Christian Thompson, <a href="http://www.wikidata.org/entity/Q22111516">http://www.wikidata.org/entity/Q22111516</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Herbert Walter Levi, <a href="http://www.wikidata.org/entity/Q3133516">http://www.wikidata.org/entity/Q3133516</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Barbara York Main, <a href="http://www.wikidata.org/entity/Q21338740">http://www.wikidata.org/entity/Q21338740</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Ralph Lucien Chermock, <a href="http://www.wikidata.org/entity/Q21392430">http://www.wikidata.org/entity/Q21392430</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Guilherme Felgueiras, <a href="http://www.wikidata.org/entity/Q122982838">http://www.wikidata.org/entity/Q122982838</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Gustav Budde-Lund, <a href="http://www.wikidata.org/entity/Q2362545">http://www.wikidata.org/entity/Q2362545</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Signe Kristine Abelsted, <a href="http://www.wikidata.org/entity/Q106879977">http://www.wikidata.org/entity/Q106879977</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 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Joaquim Martinho Lopes de Brito Teixeira, <a href="http://www.wikidata.org/entity/Q120216281">http://www.wikidata.org/entity/Q120216281</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 2023View details →
zenodo40/100

Consensual videos of potentially re-identifiable individuals recorded at the Autonomous Driving Test Area Baden-Württemberg (raw images recorded daytime).

<p>For the purpose of research on data intermediaries and data anonymisation, it is necessary to test these processes with realistic video data containing personal data. For this purpose, the <a href="http://treumoda.de/">TreuMoDa</a> project, funded by the German Federal Ministry of Education and Research (BMBF), has created a dataset of different traffic scenes containing identifiable persons.</p><p>This video data was collected at the <a href="https://taf-bw.de/">Autonomous Driving Test Area Baden-Württemberg</a>. On the one hand, it should be possible to recognise people in traffic, including their line of sight. On the other hand, it should be usable for the demonstration and evaluation of anonymisation techniques.</p><p><strong>The legal basis for the publication of this data set the consent given by the participants as documented in the file Consent.pdf (all purposes) in accordance with Art. 6 1 (a) and Art. 9 2 (a) GDPR. Any further processing is subject to the GDPR.</strong></p><p>We make this dataset available for non-commercial purposes such as teaching, research and scientific communication. Please note that this licence is limited by the provisions of the GDPR. Anyone downloading this data will become an independent controller of the data. This data has been collected with the consent of the identifiable individuals depicted.</p><p>Any consensual use must take into account the purposes mentioned in the uploaded consent forms and in the privacy terms and conditions provided to the participants (see Consent.pdf). All participants consented to all three purposes, and no consent was withdrawn at the time of publication. KIT is unable to provide you with contact details for any of the participants, as we have removed all links to personal data other than that contained in the published images.</p>

opencc-by-nc-sa-4.0Oct 2023View details →
zenodo40/100

Natural history specimens collected and/or identified and deposited.

Natural history specimen data collected and/or identified by Elizabeth H. Winn, <a href="http://www.wikidata.org/entity/Q123016847">http://www.wikidata.org/entity/Q123016847</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 2023View 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

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.