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6,025 results for “Science of science”

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zenodo40/100

Linked collectors and determiners for: Mammals in the collection of Zoological Museum of NSNHM (the National Science and Natural History Museum at the National Academy of Sciences of Ukraine, Kyiv): Muridae..

Natural history specimen data linked to collectors and determiners held within, "Mammals in the collection of Zoological Museum of NSNHM (the National Science and Natural History Museum at the National Academy of Sciences of Ukraine, Kyiv): Muridae.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/db908fac-ed42-407e-817c-3f10ce74a28e">https://bionomia.net/dataset/db908fac-ed42-407e-817c-3f10ce74a28e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/db908fac-ed42-407e-817c-3f10ce74a28e">https://gbif.org/dataset/db908fac-ed42-407e-817c-3f10ce74a28e</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Four new species of parasitoid wasp (Hymenoptera: Braconidae) described through a citizen science partnership with schools in regional South Australia.

Natural history specimen data linked to collectors and determiners held within, "Four new species of parasitoid wasp (Hymenoptera: Braconidae) described through a citizen science partnership with schools in regional South Australia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/35cc56cd-f4b3-404b-b773-977054676495">https://bionomia.net/dataset/35cc56cd-f4b3-404b-b773-977054676495</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/35cc56cd-f4b3-404b-b773-977054676495">https://gbif.org/dataset/35cc56cd-f4b3-404b-b773-977054676495</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Mycological Herbarium.

Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Mycological Herbarium". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1f917113-dd55-4000-9f80-6266fab1af03">https://bionomia.net/dataset/1f917113-dd55-4000-9f80-6266fab1af03</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1f917113-dd55-4000-9f80-6266fab1af03">https://gbif.org/dataset/1f917113-dd55-4000-9f80-6266fab1af03</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Entomological Collection.

Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Entomological Collection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1af83152-24f7-4df7-afbc-b213b62175bb">https://bionomia.net/dataset/1af83152-24f7-4df7-afbc-b213b62175bb</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1af83152-24f7-4df7-afbc-b213b62175bb">https://gbif.org/dataset/1af83152-24f7-4df7-afbc-b213b62175bb</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection.

Natural history specimen data linked to collectors and determiners held within, "Estonian University of Life Sciences Institute of Agricultural and Environmental Sciences Department of Plant Protection". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://bionomia.net/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05">https://gbif.org/dataset/91afc73f-a11a-4e8b-9313-ed056697cf05</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: New Mexico Museum of Natural History and Science (NMMNH&S) Invertebrate specimens (Arctos).

Natural history specimen data linked to collectors and determiners held within, "New Mexico Museum of Natural History and Science (NMMNH&amp;S) Invertebrate specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/fc65374a-64af-4131-9c4e-e206945ac0b3">https://bionomia.net/dataset/fc65374a-64af-4131-9c4e-e206945ac0b3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/fc65374a-64af-4131-9c4e-e206945ac0b3">https://gbif.org/dataset/fc65374a-64af-4131-9c4e-e206945ac0b3</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: New Mexico Museum of Natural History and Science (NMMNHS) Paleontology specimens (Arctos).

Natural history specimen data linked to collectors and determiners held within, "New Mexico Museum of Natural History and Science (NMMNHS) Paleontology specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/3774eeec-8a91-45d0-b3d5-a3903cfc220d">https://bionomia.net/dataset/3774eeec-8a91-45d0-b3d5-a3903cfc220d</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/3774eeec-8a91-45d0-b3d5-a3903cfc220d">https://gbif.org/dataset/3774eeec-8a91-45d0-b3d5-a3903cfc220d</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: New Mexico Museum of Natural History and Science (NMMNHS) Insect specimens (Arctos).

Natural history specimen data linked to collectors and determiners held within, "New Mexico Museum of Natural History and Science (NMMNHS) Insect specimens (Arctos)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/04daaaf2-0d57-414d-8656-28c0137b638a">https://bionomia.net/dataset/04daaaf2-0d57-414d-8656-28c0137b638a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/04daaaf2-0d57-414d-8656-28c0137b638a">https://gbif.org/dataset/04daaaf2-0d57-414d-8656-28c0137b638a</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: National Academy of Sciences of Republic of Armenia - Institute of Botany - Herbarium ERE.

Natural history specimen data linked to collectors and determiners held within, "National Academy of Sciences of Republic of Armenia - Institute of Botany - Herbarium ERE". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/e6aa777f-f1f6-4bb7-af71-9ea2473efe35">https://bionomia.net/dataset/e6aa777f-f1f6-4bb7-af71-9ea2473efe35</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/e6aa777f-f1f6-4bb7-af71-9ea2473efe35">https://gbif.org/dataset/e6aa777f-f1f6-4bb7-af71-9ea2473efe35</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Linked collectors and determiners for: Georgian Academy of Sciences, Institute of Botany, National Herbarium of Georgia.

Natural history specimen data linked to collectors and determiners held within, "Georgian Academy of Sciences, Institute of Botany, National Herbarium of Georgia". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/50676f2a-d7d7-4aad-b455-b8d96c76f810">https://bionomia.net/dataset/50676f2a-d7d7-4aad-b455-b8d96c76f810</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/50676f2a-d7d7-4aad-b455-b8d96c76f810">https://gbif.org/dataset/50676f2a-d7d7-4aad-b455-b8d96c76f810</a>. Formatted as a Frictionless Data package.

opencc-zeroJan 2024View details →
zenodo40/100

Data sets - The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities

<p>Data sets&nbsp;</p> <p>The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities.&nbsp;<br>In the period from February to October 2024, a survey of 112 computer science teachers in Kazakhstan (Pavlodar region) was conducted to determine attitudes to inclusive education, motivation to teach, and perception of the possible impact of computer science on students with mental disabilities.</p> <p>Questionnaire&nbsp;<br>https://docs.google.com/document/d/1LzukKSqW_mHMZXbMtN0ecmmU4cKJiwgf0laTWBHQSng/edit?usp=sharing</p> <p><strong>This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP14872400).</strong></p>

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

Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Public and Stakeholder Engagement

<p>This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project.</p> <p>Aim: Alignment of RRI to advance the UN SDGs.</p> <p>Objectives:</p> <ul> <li>Mapping the RSSR to the SDGs&nbsp;</li> </ul> <p>Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG,&nbsp;<em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em>&nbsp;The&nbsp;impact&nbsp;of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of&nbsp;<em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em></p> <p>Two documents were used for this task:</p> <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Ethics and Ethical Governance

<p>This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project.</p> <p>Aim: Alignment of RRI to advance the UN SDGs.</p> <p>Objectives:</p> <ul> <li>Mapping the RSSR to the SDGs&nbsp;</li> </ul> <p>Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG,&nbsp;<em>by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable.</em>&nbsp;The&nbsp;impact&nbsp;of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of&nbsp;<em>national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders.</em></p> <p>Two documents were used for this task:</p> <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Science ready spectra, their best-fitting models and results of Jeans axisymmetric modelling described in the research paper "Transforming gas-rich low-mass discy galaxies into ultra-diffuse galaxies by ram pressure" by Grishin, Chilingarian, Afanasiev et al.

<p>This package contains data presented in the paper &quot;Transforming gas-rich low-mass discy galaxies into ultra-diffuse galaxies by ram pressure&quot; by Grishin, Chilingarian, Afanasiev et al. (2021 Nature Astronomy in press). The dataset can be used to reproduce Figures 3 and 4 from the main manuscript and Extended Data Figures 1, 2, 4, 5 from the Supplementary Information.</p> <p>(1) Python scripts and data points required to reproduce Figure 4 in the manuscript and Extended Data Figure 5 from the Supplementary Information. The data and scripts are presented in a combined .zip archive for both figures.</p> <p>(2) One-dimensional spectra extracted within 1 half-light radius from long-slit Binospec spectra and multi-wavelength far-UV-to-near-IR broadband spectral energy distributions (SEDs) assembled from the photometric measurements extracted within the same aperture for 11 galaxies from the main sample (9 in the Coma cluster and 2 in the Abell 2147 cluster) and 5 galaxies from the supplementary (auxiliary) list. The spectra and SEDs are accompanied with their best-fitting stellar population models and parameters determined by the NBursts+phot algorithm: radial velocity, velocity dispersion, truncation age, final stellar metallicity. The templates are MILES-based models with self-consistent chemical evolution presented in Grishin et al. 2019 (https://ui.adsabs.harvard.edu/abs/2019arXiv190913460G/abstract). The filenames contain the coefficient for galactic winds and the mass fraction of stars in the final starburst, e.g. _l15_60 means lambda=1.5, SSP_frac=60 per cent. The files are presented as binary FITS tables with the fields annotated using unified content descriptors (UCDs) from the list established by the International Virtual Observatory Alliance and physical units where applicable.</p> <p>(3) Two-dimensional profiles of internal kinematics (radial velocity and velocity dispersion) and stellar population properties (truncation age and final stellar metallicity) derived from the analysis of long-slit Binospec spectra for 12 galaxies after adaptive binning, 11 from the main sample and GMP3016 in the Coma cluster from the supplementary sample; best-fitting Jeans axisymmetric models without adaptive binning, i.e. full profiles along the slit. The data are presented in binary FITS tables in the two FITS extensions, one for the profiles derived from the corresponding spectra and the second one for dynamical models.</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Wie Teilnehmende an Citizen-Science-Projekten bezeichnen? - Erweiterte Version

<p>Die Abbildung fasst verbreitete Bezeichnungen f&uuml;r Teilnehmende an Citizen-Science-Projekten sowie typische Kritik, die an ihnen ge&uuml;bt wird, zusammen. Sie zeigt damit auch: die &quot;richtige&quot; Bezeichnung gibt es nicht. Passende Begriffe f&uuml;r ein CS-Vorhaben schlie&szlig;en im besten Falle an das Selbstverst&auml;ndnis der Beteiligten an &ndash; hier sollte man recherchieren, Feedback einholen und ggf. gemeinsam entscheiden</p> <p>In den Bild-Dateien ist eine englische Version der Grafik enthalten; separat liegt diese hier: http://doi.org/10.5281/zenodo.5031990</p> <p>Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz (t1p.de/ccby4de). Bei einer Weiterverwendung sollen die Urheber wie folgt angegeben werden: Tim Kiessling, Erweiterung durch Claudia G&ouml;bel und Susann Hippler f&uuml;r SoCiS (t1p.de/socis). Das Originalwerk wurde ver&ouml;ffentlicht in &raquo;Citizen Science Terminology Matters: Exploring Key Terms&laquo; von Eitzel et al. 2017 (https://t1p.de/hqss). Die Erweiterung basiert auf der SoCiS-Studie zu partizipativer Forschung in den Geistes- und Sozialwissenschaften mit weiteren Bezeichnungen und Kritiken sowie der Sichtbarmachung weiterer bisher meist unerw&auml;hnten Teilnehmenden (letzte Zeile).</p> <p>Mehr informationen: https://www.hof.uni-halle.de/projekte/socis/</p>

opencc-by-4.0Jun 2021View details →
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What to call people involved in citizen science projects? - extended version

<p>The diagram summarises terms used for referring to participants of citizen science activities as well as typical critiques on these terms. It thus shows - there is no on &quot;correct&quot; terminology. Adequate terms should relate to the self-understanding of participants - for this reason it is recommended to do research, get feedback and make decisions jointly.</p> <p>A German version of this diagram is available here: http://doi.org/10.5281/zenodo.5031929&nbsp;</p> <p>This work is licensed under a Creative Commons Attribution 4.0 International Licence (https://creativecommons.org/licenses/by/4.0/). For re-use, please specify authors in the following way: Tim Kiessling, extention by Claudia G&ouml;bel and Susann Hippler for SoCiS (t1p.de/socis). The Original was published in &raquo;Citizen Science Terminology Matters: Exploring Key Terms&laquo; von Eitzel et al. 2017 (https://t1p.de/hqss). The extention is based on a study on participatory research in humanities and social science with additional terms/critiques from these domains as well as contributors who remained invisible so far (final row).</p> <p>More information: https://www.hof.uni-halle.de/projekte/socis/</p>

opencc-by-4.0Jun 2021View details →
zenodo40/100

Data for From principles to practices: Open Science at European Universities. 2020-2021 EUA Open Science Survey Results

<p>This database refers to the data collected by the European University Association (EUA) for its 2020-2021 EUA Open Science Survey, which gathered responses from universities and higher education institutions across Europe. The full report published by the association is available at&nbsp;<a href="https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html">https://www.eua.eu/resources/publications/976:from-principles-to-practices-open-science-at-europe%E2%80%99s-universities-2020-2021-eua-open-science-survey-results.html</a>&nbsp;(<a href="http://doi.org/10.5281/zenodo.5062982">http://doi.org/10.5281/zenodo.5062982</a>).</p> <p>All information that could lead to the identification of individual universities and higher education institutions was removed from the database. The following files are available:</p> <ul> <li>2020-2021&nbsp;EUA Open Science Survey</li> <li>Database in the following formats: .xlsx (Microsoft Excel) and .sav (IBM SPSS)</li> <li>Survey Codebook: includes information on all the variables and their coding (.xlsx)</li> <li>Data Management Plan.</li> </ul>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Science Communication Webinar Series: Engaging with Policymakers

<p>Blue-Action coordinated&nbsp;a series of webinars on climate science communication in 2020. These are aimed at early-career researchers, but anyone who wishes to engage people with their research at any stage will find them valuable.</p> <p>This webinar was delivered on 15th October 2020 by Jan-Stefan Fritz, Managing Director of&nbsp;the German Marine Research Consortium.&nbsp;Stefan has over fifteen years experience linking science with European policymakers in Brussels, and here shares his wealth of experience in how and why we should be engaging with policy.&nbsp;</p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Yes! We're open. Open science and the future of academic practices in translation and interpreting studies - Supplementary material

<p>Supplementary material to the article &quot;<em>Yes! We&rsquo;re open</em>. Open science and the future of academic practices in translation and interpreting studies&quot; by Christian Olalla-Soler.&nbsp;</p> <ul> <li>Sheet 1: Translation and Interpreting Studies journals and bibliometric indicators.</li> <li>Sheet 2:&nbsp;Translation and Interpreting Studies articles in Scopus.</li> <li>Sheet 3:&nbsp;Pre-registrations related to translation and interpreting.</li> </ul> <p>Reference:</p> <p>Olalla-Soler, Christian (2021). &quot;<em>Yes! We&rsquo;re open</em>. Open science and the future of academic practices in translation and interpreting studies&quot;. <em>Translation &amp; Interpreting</em> 13 (2): 1-28. <a href="https://doi.org/10.12807/ti.113202.2021.a01">https://doi.org/10.12807/ti.113202.2021.a01</a></p>

opencc-by-4.0Jul 2021View details →
zenodo40/100

Reporting uncertified science in the news media during the Covid-19 pandemic

<p>Preprints have established a stable position in the dissemination of scientific findings. This position has been reinforced by the Covid-19 pandemic, which required the rapid dissemination of new scientific information. However, in most cases, preprints have not undergone peer review and, as a consequence, lack the scientific rigor of other scientific publications such as journal articles. This presents a challenge for journalists who are tasked with keeping the public informed about the latest scientific developments in the context of great uncertainty during a global pandemic. Having to report on rapidly changing circumstances under increasing pressure from social media while also having to compete for attention in a saturated media landscape might place strain on the adherence to journalistic norms. This does not only have implications in terms of the case-by-case accuracy of reporting, but on the public perception of science at large.</p> <p>This paper investigates the reporting of scientific information from pre-preprints based on a sample of 2,877&nbsp;online news articles related to Covid-19 in the South African news media. Our results show that despite the publication of guidelines for reporting on preprints in the media, there is still a way to go regarding the judicious use of scientific information from preprints by journalists.</p> <p>The dataset includes the&nbsp;table of the 2,877 online news articles as well as the analysis done (as separate tables).</p> <p>Fields in the dataset: Full Text, Headline, ID, Publication Date, Site Name,URL,Syndicated, Covid-related scientific research findings,<br> Preprint, Title, Authors,DOI, Archive / journal, URL</p>

opencc-by-4.0Jul 2021View details →

ScienceDex guides

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

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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