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379 results for “data sharing”

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dryad24/100

Data from: A multi-breed genome-wide association analysis for canine hypothyroidism identifies a shared major risk locus on CFA12

Open the record for dataset details and reuse information.

publicAug 2015View details →
dryad24/100

Data from: Shared genes but not shared genetic variation: legume colonization by two belowground symbionts

Open the record for dataset details and reuse information.

publicAug 2017View details →
dryad24/100

Data from: It’s all in the timing: calibrating temporal penalties for biomedical data sharing

Open the record for dataset details and reuse information.

publicAug 2018View details →
dryad24/100

Data from: Genome-wide sequence data suggest the possibility of pollinator sharing by host shift in dioecious figs (Moraceae, Ficus)

Open the record for dataset details and reuse information.

publicOct 2016View details →
zenodo20/100

Air quality during COVID-19 in Beijing_data_sharing

<p>Data for air quality during COVID-19 in Beijing.</p>

opencc-by-4.0Nov 2020View details →
zenodo20/100

Beijing: COVID-19-data-sharing-final

<p>Beijing: COVID-19-data-sharing-final</p>

opencc-by-4.0Nov 2020View details →
zenodo20/100

COVID-19-data-sharing-final

<p>COVID-19-data-sharing-final</p>

opencc-by-4.0Nov 2020View details →
zenodo20/100

WMT-SLT SRF: Training data for the WMT shared task on sign language translation (videos, subtitles)

<p>These are Standard German daily news (Tagesschau) and Swiss German weather forecast (Meteo) episodes broadcast and interpreted into Swiss German Sign Language by hearing interpreters (among them, children of Deaf adults, CODA) via Swiss National TV (Schweizerisches Radio und Fernsehen, SRF)&nbsp;(<a href="https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0">https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0</a>). For a more extended description of the data, visit&nbsp;<a href="https://www.wmt-slt.com/data">https://www.wmt-slt.com/data</a>.<br> <br> &nbsp;</p>

restrictedJun 2022View details →
ClinicalTrials.gov20/100

ONCOlogy-targeted NLP-powered Federated Hyper-archItecture and Data Sharing Framework for Health Data Reusability

ClinicalTrials.gov study NCT05060835. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov20/100

Data Sharing Project Part 2

ClinicalTrials.gov study NCT05298514. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo16/100

Training data for the shared task Ideology and Power Identification in Parliamentary Debates - with errors please do not use!

<p><strong>This dataset is an early release with errors. Please do not use this data set. The official dataset for the shared task will be announced on <a href="https://touche.webis.de/clef24/touche24-web/ideology-and-power-identification-in-parliamentary-debates.html">the shared task webpage</a>.</strong></p>

restrictedcc-by-4.0Dec 2023View details →
zenodo16/100

Anonymized interview transcripts from the study "Information Scientists' Motivations for Research Data Sharing and Reuse"

<p>These are eleven transcripts of the interviews conducted in the context of&nbsp;the study &ldquo;Information Scientists&rsquo; Motivations for Research Data Sharing and Reuse&rdquo;.</p> <p>Interview partners are information science researchers who work with data and shared (or not) their research data and/or reused (or not) the data from third parties. Study sample included six women and five men working either at a German university and/or a research performing organization with working experience as researchers from six to over 40 years. Nine persons have a PhD degree, two persons are the PhD candidates. One researcher belongs to the Net Generation (i.e. born approx. between 1946 and 1960), three researchers &ndash; to Generation X (i.e. born approx. 1960 and 1980), seven researchers &ndash; to Generation Y (i.e. born approx. between 1980 and 1996).</p> <p>Data collection took place between October, 13 and November, 24 2022. The interviews were conducted in German, online and video-recorded. The shortest conversation took 43 minutes and the longest &ndash; 63 minutes. With participants&rsquo; consent, all interviews were transcribed using f4x Automatic Speech Recognition. The automatically created transcripts were then manually checked and corrected if needed.</p> <p>The interview transcripts are anonymized by replacing original words or phrases with more generic words or phrases. The replaced texts are marked in blue and taken in brackets. The access to the anonymized transcripts will be granted on request&nbsp;with concrete agreement on use.</p> <p>The <a href="https://doi.org/10.5281/zenodo.8230979">interview guide template</a> used for conducting the interviews is available.&nbsp;For more information about study design and results, please visit the <a href="https://doi.org/10.5281/zenodo.8186518">project page</a> and/or read the article &quot;Information Scientists&#39; Motivations for Research Data Sharing and Reuse&quot; by Shutsko and Stock (2023).</p>

restrictedAug 2023View details →
zenodo12/100

Supporting students in making informed data sharing decisions: from comprehension to consenting

<p>Whether deciding to participate in research or gain access to online applications, studies on consent suggest that individuals often do not read or fail to understand the text outlining the conditions they agree to when giving their consent. Limited comprehension related to the risks of big data and habituation may contribute to consent being given in a manner that counters the best interests of individuals (i.e. a privacy paradox). Are those asking students to use new technologies and share their data ethically responsible for helping students learn to make informed decisions regarding the sharing of their data? As educational technology researchers, we conducted a quasi-experimental study involving 127 undergraduate students in which we explored the effects on study enrollment of supporting students in making informed data sharing decisions. Prior to reading the consent form for a study involving the evaluation of a collaborative learning application, one group of participants was primed to consider data sharing risks whereas the other group was not. The primed group scored lower on a consent form comprehension quiz yet had higher enrollment rates and were more likely to cite trust as reasoning for enrolling in the study.</p> <p>The data set is composed by:</p> <ul> <li>&lsquo;Classes&rsquo; spreadsheet: including the relation of flows, group of students, number of students, instructor id, day and time</li> <li>&lsquo;Participants&rsquo; spreadsheet: including the relation of ID (of each participant), if s/he consented, group class, flow and language</li> <li>&lsquo;Prior knowledge Survey&rsquo; spreadsheet: participant&rsquo;s ID and ID, relevant prior knowledge questionnaire data (questions included).</li> <li>&lsquo;Quiz data&rsquo; spreadsheet: participant&rsquo;s ID, quiz data and survey data (questions included)</li> <li>PDF including:&nbsp; <ul> <li>Table S1. Summary of participating classes&nbsp;</li> <li>Table S2. Consent form subsections and summaries&nbsp;</li> <li>Table S3. Consent form quiz questions, question types, and assigned points&nbsp;</li> <li>Table S4. Guiding questions in the prior knowledge questionnaire&nbsp;</li> <li>Table S5. Comparison of Flow A and Flow B quiz scores per question</li> </ul> </li> </ul>

restrictedMay 2019View details →
zenodo12/100

WMT-SLT FocusNews: Training data for the WMT shared task on sign language translation

<p>This is data from a former Deaf online TV channel, FocusFive. We provide news episodes (FocusNews) that were broadcast between 2008 and 2014. Each episode is about 5 minutes long. For a more extended description of the data, visit <a href="https://www.wmt-slt.com/data">https://www.wmt-slt.com/data.</a></p>

restrictedJun 2022View details →
zenodo12/100

WMT-SLT SRF: Training data for the WMT shared task on sign language translation (poses)

<p>These are Standard German daily news (Tagesschau) and Swiss German weather forecast (Meteo) episodes broadcast and interpreted into Swiss German Sign Language by hearing interpreters (among them, children of Deaf adults, CODA) via Swiss National TV (Schweizerisches Radio und Fernsehen, SRF) (<a href="https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0">https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0</a>). For a more extended description of the data, visit <a href="http://These are Standard German daily news (Tagesschau) and Swiss German weather forecast (Meteo) episodes broadcast and interpreted into Swiss German Sign Language by hearing interpreters (among them, children of Deaf adults, CODA) via Swiss National TV (Schweizerisches Radio und Fernsehen, SRF) (https://www.srf.ch/play/tv/sendung/tagesschau-in-gebaerdensprache?id=c40bed81-b150-0001-2b5a-1e90e100c1c0). For a more extended description of the data, visit https://www.wmt-slt.com/data.">https://www.wmt-slt.com/data</a>.</p> <p>&nbsp;</p> <p>&nbsp;</p>

restrictedJun 2022View details →
zenodo12/100

Ethics in educational technology research: informing participants on data sharing risks

<p>Qualitative analysis of raw data (utterances in Catalan) used for the paper:</p> <p>Beardsley, M., Santos, P., Hern&aacute;ndez-Leo, D., Ethics in educational technology research: informing participants on data sharing risks, Submitted</p>

restrictedNov 2018View details →
zenodo12/100

Text data for paper "Sharing emotions at scale: The Vent dataset"

<p>This text dataset, available upon request, is linked to the paper &quot;<strong>Sharing emotions at scale: The Vent dataset&nbsp;</strong>(<a href="https://arxiv.org/abs/1901.04856">arXiv:1901.04856</a>&nbsp;[cs.SI]).</p> <p>Researchers who want to access the texts for research and non-commercial use are welcome to contact us.</p>

restrictedJan 2019View details →
zenodo4/100

Data sharing of articles

<p>Data sharing of articles. Data for observational data and simulation results.</p>

restrictedNov 2022View details →
zenodo4/100

Data sharing

<p>Data sharing</p>

restrictedMay 2023View 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