Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
632
datasets available to search
ShareScore release 0.9.0
Dataset results
632 results for “Policies”
Decreased community-acquired pneumonia coincided with rising awareness of precautions before governmental containment policy in Japan
<p>Google community mobility data provides regional-level movement trends by location type (retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential) as a relative change from the day-of-the-week-wise average from January 3 through February 6, 2020. We obtained the daily national average of Google mobility in Japan in all location types but residential to measure the contact behavior of individuals outside the home.</p>
Evaluating Institutional Commitments to Open Scholarly Infrastructure: A Review of Open Access Collection Development Policies
<p>Data prepared for the publication "Evaluating Institutional Commitments to Open Scholarly Infrastructure: A Review of Open Access Collection Development Policies."</p> <p><strong>oa-cd-policies.csv</strong></p> <p>Scope: This data represents collection development policies that contain substantial mention of open access.</p> <p>Data collection: The policies were sourced using an Advanced Google Search for "open access" AND "collection development policy" at ".edu" domains.</p> <p>Variables:</p> <ul> <li>institution: Free text, name of the institution.</li> <li>carnegie_class: One of <a href="https://carnegieclassifications.acenet.edu/carnegie-classification/classification-methodology/basic-classification/">these options</a>; the Carnegie classification of the institution.</li> <li>institution_type: One of public or private; the funding source of the institution.</li> <li>policy_name: Free text; the title of the policy.</li> <li>supplemental_policy: Link to a supplemental open access policy if linked in the collection development policy.</li> <li>cd_policy_link: Link to the policy.</li> <li>infrastructure: TRUE or FALSE; whether the policy includes a commitment to open access scholarly infrastructure development, including open source platforms, locally hosted platforms, consortia, or an institutional repository.</li> <li>excerpt: Free text; text from the policy that mentions infrastructure.</li> </ul> <p><strong>principles-policies.csv</strong></p> <p>Scope: This data represents those collection development policies from oa-cd-policies.csv that contain commitments in line with the <a href="https://openscholarlyinfrastructure.org/">Principles for Open Scholarly Infrastructure</a>.</p> <p>Variables:</p> <ul> <li>institution: Free text, name of the institution.</li> <li>carnegie_class: One of <a href="https://carnegieclassifications.acenet.edu/carnegie-classification/classification-methodology/basic-classification/">these options</a>; the Carnegie classification of the institution.</li> <li>institution_type: One of public or private; the funding source of the institution.</li> <li>policy_name: Free text; the title of the policy.</li> <li>supplemental_policy: Link to a supplemental open access policy if linked in the collection development policy.</li> <li>cd_policy_link: Link to the policy.</li> <li>principle: One of the three main <a href="https://openscholarlyinfrastructure.org/">Principles</a>.</li> <li>sub_principle: One of the <a href="https://openscholarlyinfrastructure.org/">Sub-Principles</a>.</li> <li>excerpt: Free text; text from the policy that illustrates the sub_principle.</li> </ul>
The role of policies in reducing the cost of capital for offshore wind
<p>The dataset contains the data represented in the graphs in the publication The role of policies in reducing the cost of capital for offshore wind</p>
[HECAT] [ETAPAS] [TECHETHOS] Policy Launch: Public Service AI /// Trust – Values – Accuracy
<p><strong>Public Service AI /// Trust – Values – Accuracy</strong></p> <p><strong>Policy Launch 26.05.23 11:00 CET Zoom</strong></p> <p><strong>YouTube Link to POLICY LAUNCH Recording: </strong><a href="https://youtu.be/OqkqUbA-6PI">https://youtu.be/OqkqUbA-6PI</a></p> <p><strong>Policy 1 – HECAT Project </strong> <a href="https://zenodo.org/record/7921614">“Algorithm Profiling in Public Employment Services; Reporting Standards”</a></p> <p><strong>Policy 2 – ETAPAS Project </strong> <a href="https://zenodo.org/record/7634617#.ZFIf7ezMKt_">“ETAPAS AND ALTAI – Two European Trustworthy AI Assessment Methodologies”</a></p> <p><strong>Policy 3 – TechEthos Project </strong><a href="https://www.techethos.eu/wp-content/uploads/2023/03/TECHETHOS_Policy-Brief_XR-General-purpose-AI_final.pdf">“XR and General Purpose AI: From Values and Principals to Norms and Standards”</a></p>
Data for the paper "Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making"
<p>Data collected and used for the analysis for the paper "Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making".</p> <p>Each value - beside the demographics and the opinions - corresponds to a value of a 5-level likert scale. For a more detailed explanation please refer to the paper.</p>
Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery: Major themes, subthemes and selected interview quotes
<p>Data annex containing major themes, subthemes and selected interview quotes of the article Open Science Policies as Regarded by the Communities of Researchers from the Basic Sciences in the Scientific Periphery.</p>
Paradigm Shifts in Environmental Policies: The Role of Digital Communication and Knowledge Exchange in the T20/G20 Transnational Policy Community
<p>Discussion:<br> Do you see paradigm shifts in environmental policies in Indonesia?<br> Can transnational research based policy advice, as performed by the T20, be an incubator for paradigm shifts?<br> What role does/could/should digital knowledge exchange play?</p>
eHealth policies in Africa
<p>Information about eHealth policies and in African countries, including strategies, frameworks, guideslines and standards. Also policy documents in related fields such as healthcare, ICT, privacy, and finance. From the BETTEReHEALTH registry: <a href="https://registry.betterehealth.eu/ehealth-policies">https://registry.betterehealth.eu/ehealth-policies</a></p>
Map of public and private policies and governance mechanisms
<p>This Excel database maps key public and private policies and governance mechanisms regulating legal and sustainable forest and ecosystem-risk biomass value chains across demand and supply-side countries and regions.</p>
Norway energy policy optimization results
<p>These files contain the raw results from master thesis on Norwegian energy policy directions. The each folder has a html file (with basic plots), a netcdf file and a series of csv files. The four scenarios uploaded are the unconstrained (model is free to install capacity as it wants) and base case (current norwegian policy direction), for both a beyond 2030 and beyond 2050 timeline. These results are part of a Master thesis work. Additional results related to transmission and onshore wind policy available upon request to h.guddingsmo@outlook.com.</p>
RESISTIRÉ Dataset: Narratives on inequalities caused by policy and societal responses to Covid-19 in Europe – second cycle
<p>This dataset contains 295 narratives, including keywords and specifically telling quotes. It is the second of three sets of narratives collected and analysed in RESISTIRÉ. The narrative interviews were conducted in national languages by the consortium partners and a network of national researchers covering the EU27 (except Malta), and Iceland, Serbia, and the UK in December 2021-February 2022. Narrative interviewing is a qualitative research method that involves inviting participants to tell their own stories and experiences in their own words. The technique is used to collect and share a person’s story which entails both a research methodology and a mechanism for storytelling i.e. both a way of telling a story, and a way of knowing. Narratives as a technique can make visible how multiple sources of inequalities intersect, as well as the situational and contextual nature of inequalities from a single person’s perspective. </p>
RESISTIRÉ Dataset: Narratives on inequalities caused by policy and societal responses to Covid-19 in Europe – third cycle
<p>This dataset contains 289 narratives, including keywords and specifically telling quotes. It is the third of three sets of narratives collected and analysed in RESISTIRÉ. These narrative interviews were conducted in national languages by the consortium partners and a network of national researchers covering the EU27 (except Malta), and Iceland, Serbia, and the UK in September-December 2022.<a href="#_ftn1">[1]</a> Narrative interviewing is a qualitative research method that involves inviting participants to tell their own stories and experiences in their own words. The technique is used to collect and share a person’s story which entails both a research methodology and a mechanism for storytelling i.e. both a way of telling a story, and a way of knowing<em>. </em>Narratives as a technique can make visible how multiple sources of inequalities intersect, as well as the situational and contextual nature of inequalities from a single person’s perspective.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> For an analysis of the narratives, see Sandström, L., Callerstig, A-C., Strid, S., Lionello, L., & Rossetti, F. (2023). RESISTIRE D4.3 Summary report on qualitative indicators - cycle 3. Zenodo. <a href="https://doi.org/10.5281/zenodo.7708724">https://doi.org/10.5281/zenodo.7708724</a>.</p>
Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
<p>These data are part of a data portal that accompanies the special issue 'Climate change adaptation needs a science of culture,' published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit <a href="https://doi.org/10.5061/dryad.bnzs7h4h4"><strong>https://doi.org/10.5061/dryad.bnzs7h4h4</strong></a>.</p> <p>The files consist of the code of an agent-based model (ABM) in a NetLogo, detailed documentation of the ABM in a standard format, and a table of data exported from the simulation experiment reported on in the paper. By downloading the Netlogo file, one could not only rerun the experiment we report on and recreate the data table but toggle parameters or edit the model to explore other dynamics.</p>
One Health EJP 4th Dissemination Workshop: Communication, education and training, and science to policy translation. Lessons learnt and legacy of the One Health EJP
<p>The Dissemination Workshops inform on One Health EJP solutions created in response to stakeholder needs, fostering the link between stakeholders and the consortium. Previous Dissemination Workshops targeted policy and decision makers at the national, European, and international level (reports available <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">here</a>). This workshop instead is dedicated to all those who would like to set up One Health initiatives, encouraging them to learn from the experience of the One Health EJP.</p> <p>The 4th virtual One Health EJP Dissemination Workshop focuses on the interaction with stakeholders to translate science into policy, the impact of the education and training activities, and strategies used for effective dissemination of One Health solutions. Online presentations are given by the members of the One Health EJP <a href="https://onehealthejp.eu/outcomes/science-to-policy-translation/reports">Science to Policy Translation</a> (WP5), <a href="https://onehealthejp.eu/community/education-and-training">Education and Training</a> (WP6), and Communications Teams.</p> <p>Through this workshop, One Health EJP consortium members provide examples of successful strategies and lessons learnt, with the objective of inspiring all those working in this field or setting up new One Health initiatives and increasing the impact of One Health activities in Europe. This is an important legacy of the One Health EJP.</p> <p>Sessions include:</p> <ol> <li> Welcome and introduction.</li> <li> Education and training: Training a new generation of One Health scientists.</li> <li> Communication and dissemination: How to reach One Health audiences.</li> <li> Interactions with stakeholders: targeted dissemination, support, and advocacy. The example of the One Health EJP.</li> <li> Final round table discussion.</li> </ol> <p>Full details on the briefing agenda.</p>
Dataset of TMLR 2024 Paper "Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games"
<p>This is a part of dataset of the paper published in TMLR 2024 (Transactions on Machine Learning Research, <a href="https://jmlr.org/tmlr/" target="_blank" rel="noopener">https://jmlr.org/tmlr/</a>).</p> <p>The example program for using this file will be put on the author's github repo branch: <a href="https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr" target="_blank" rel="noopener">https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_similarity_tmlr</a></p> <p> </p>
Bridging biosafety and biosecurity gaps: DURC and ePPP policy insights from U.S. institutions
Open the record for dataset details and reuse information.
Estimating household preferences for coastal flood risk mitigation policies under ambiguity
Open the record for dataset details and reuse information.
Data from: The impacts of climate change, energy policy, and traditional ecological practices on future firewood availability for Diné (Navajo) People
Open the record for dataset details and reuse information.
KBNLB170078181 - Ordinancien eñ Statuten die de keyserlijcke Maiesteyt in zijnder teghewoordicheyt op den .VII. dach Octobris Int iaer MCCCCXXXI heeft doen lesen eñ verclaren den Staten van sinen landen van herwerts ouer/ eñ de welcke aldaer wtgeroepen eñ gepubliceert zijn geweest opden .XV dach Nouembris daer aen volgende/ soo om te extirperẽ eñ te verdriuẽ de lutheraensche eñ andere gereprobeerde secten eñ te versiene op de ongereltheyt vander mũten/ als om ordine te stellen op de policie vandenvoorseyden landen/ totder ghemeyn weluaert ende commoditeyt van dien
<p>Titel: <em> </em><em>Ordinancien eñ Statuten die de keyserlijcke Maiesteyt in zijnder teghewoordicheyt op den .VII. dach Octobris Int iaer MCCCCXXXI heeft doen lesen eñ verclaren den Staten van sinen landen van herwerts ouer/ eñ de welcke aldaer wtgeroepen eñ gepubliceert zijn geweest opden .XV dach Nouembris daer aen volgende/ soo om te extirperẽ eñ te verdriuẽ de lutheraensche eñ andere gereprobeerde secten eñ te versiene op de ongereltheyt vander mũten/ als om ordine te stellen op de policie vandenvoorseyden landen/ totder ghemeyn weluaert ende commoditeyt van dien</em></p> <p>Publisher: Willem Vorsterman ende Mychiel van Hoochstraten</p> <p>Place: N.A.</p> <p>Year: 1531</p> <p>Used version: The copy we used for the transcriptions is held at the KB National Library of the Netherlands.</p> <p>Link digitised version of the book: https://books.google.nl/books?vid=KBNL:KBNLB170078181&redir_esc=y</p> <p>(Main) Language: Dutch.</p> <p>Province: Flanders.</p> <p>Font: Roman.</p> <p>Model used: Dutch_Gothic_Print</p> <p>Version of Transkribus used: v.1.9.1.</p> <p>Other info: Abbyy FineReader v.11 has been used.</p> <p>Link model: For more information on the HTR-model used, please visit: <a href="https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries">https://lab.kb.nl/dataset/entangled-histories-ordinances-low-countries</a>.</p> <p>Transcription conventions:</p> <ul> <li> <p>The abbreviations have been written out into full words.</p> </li> <li> <p>The hyphens at the end of a line have been kept (when there).</p> </li> </ul> <p>If you are in need of the original scans of the documents, please contact <a href="mailto:xxxxxx@kb.nl">dataservices@kb.nl</a>.</p> <p>This transcription is part of the dataset created with the ‘Entangled Histories’-project.</p> <p>PI: dr. C.A. Romein;<br> Scientific Programmer: S.F. Veldhoen, MSc;<br> Project Manager: drs. M. de Gruijter.</p> <p> </p>
Open Science Policies in Europe v5, 2020 Dataset (v1.0)
<p>This dataset is a characterisation of European national Open Science policies as of January 2020. The data was analysed for An Analysis of Open Science Policies in Europe v5, 2020 available at http://doi.org/10.5281/zenodo.3689450. </p> <p>The policy used the FAIRsFAIR policy characterisation elements to analyse the policies. The set of characterisation elements were developed in 2019 and used to characterise a selection of data policies from publishers, funding bodies and higher education institutions (HEIs). Both the elements and the resulting dataset are available at http://doi.org/10.5281/zenodo.3550544.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.