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632 results for “policies”
ROARMAP Open Access Policy data
<p>This data is a dump from ROARMAP [http://roarmap.eprints.org/] taken on 24th August 2015.</p> <p>ROARMAP is the Registry of Open Access Repository Mandates and Policies, a searchable international registry charting the growth of open access mandates and policies adopted by universities, research institutions and research funders that require or request their researchers to provide open access to their peer-reviewed research article output by depositing it in an open access repository.</p> <p>A number of fields have been added including country names, repository urls, continent etc.</p> <p>The data is being used for a series of data visualisations [http://pasteur4oa-dataviz.okfn.org/] for the PATEUR4OA Project [http://pasteur4oa.eu/].</p> <p> </p> <p>PASTEUR4OA (Open Access Policy Alignment Strategies for European Union Research) aims to support the European Commission’s Recommendation to Member States of July 2012 that they develop and implement policies to ensure Open Access to all outputs from publicly-funded research. </p> <p>PASTEUR4OA will help develop and/or reinforce open access strategies and policies at the national level and facilitate their coordination among all Member States. It will build a network of centres of expertise in Member States that will develop a coordinated and collaborative programme of activities in support of policymaking at the national level under the direction of project partners.</p>
DRAFT EU-level policy inventory (Database 3)
<p>SoilCare is taking a very focused approach to improving soil conservation, namely through looking at agricultural practices, and more specifically <strong>S</strong>oil<strong> I</strong>mproving<strong> C</strong>ropping <strong>S</strong>ystems<strong> (SICS)</strong>. A policy mapping exercise was carried out to identify those EU-level policies, which currently shape agricultural practices and may thus influence the uptake of SICS.This Excel Workbook lists and describes all policies reviewed during the scoping exercise and details those selected for in-depth analysis. </p>
When fear meets anger: Attitudes toward positively versus negatively evaluated pandemic policy proposals when negative emotions are competing in society
<p>Since the outbreak of the COVID‐19 pandemic, citizens of many countries have been faced with health‐related fear, as well as anti‐establishment and anti‐governmental anger. This emotional landscape colored the ongoing efforts by the authorities to convince citizens to accept various public policy proposals. In two studies (total <em>N</em> = 528, one preregistered) conducted in Poland in two different situations, we focused on the role of the simultaneously evoked pandemic fear and anti‐government anger in shaping attitudes toward the pandemic regulations. For negatively evaluated proposals, both of these emotions worked in opposite directions: fear was associated with increasing support, while anger was associated with increasing rejection. However, for positively evaluated policy proposals, fear and anger worked in consonance, and both were associated with increasing acceptance of the proposed regulations. Thus, while fear seems to motivate the acceptance of even negatively evaluated proposals that are seen as protective ones, anger works to amplify or polarize the proposals’ basic evaluations. Our findings could help plan the implementation of public policies in societies in times of turbulent emotional landscapes.</p>
Chinese Policy Documents Database, 2018 - 2023
<p>This database presents a comprehensive collection of Chinese policy documents issued by the State Council and the Central Committee (incl. their general offices) over the past five years, spanning from January 2018 to January 2023. While the database only contains central level policy documents, it is important to note that policy documents are issued at each of China's five administrative levels (national, provincial, prefecture, county, and township) contributing to a complex and multifaceted governance system. However, the central level documents in this database provide guidance and direction for lower-level policy content, and lower-level documents often refer directly to the State Council or Central Committee policy documents.</p><p>The policy documents in the database originate from the authorities listed in Table 1. Some documents are co-published – typically a combination of the Central Committee general office and State Council general office.</p><p>The database (access here: https://chinahorizons.eu/our-research/database/chinese-party-state-politics-a-catalogue-of-policy-documents )consists of 1) pdf files containing the actual documents, and 2) excel sheets with lists of documents for each year (2018-2023). In the excel sheets you will find a "publication date", which works as identifier for the pdf files. In addition, the excel sheets lists information on each document: issuing authority, document number (if any) and type, issue area, document tittle in Chinese and English as well as the online source of the document. </p>
Academic publishing requires linguistically inclusive policies
<p>Curated databases of the project "Academic publishing requires linguistically inclusive policies." </p> <p>"CuratedDatabase_Guidelines.txt" and "CuratedDatabase_Survey.txt" contain information about the linguistic policies of journals in biological sciences. Their information was collected from author guidelines and surveys to editors-in-chief, respectively. Additional information from the journal was extracted from the 2020 Journal Citation Reports (JCR).</p> <p><strong>Description, data type, and scoring options of the databases' fields (columns)</strong></p> <p>"CuratedDatabase_Guidelines.txt"'</p> <ul> <li>Collaborator: Anonymised identifier of collaborator who collected the information. Categorical.</li> <li>SurveyAnswer: Whether the editor-in-chief of the editor accepted the request to complete the survey. Categorical. YES, NO.</li> <li>Journal_JCR: Anonymised identifier of the journal name. Text.</li> <li>ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.</li> <li>OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.</li> <li>Discipline_JCR: Discipline of the journal as per JCR. Categorical.</li> <li>CountryPublication_JCR: Country or region of publication of the journal as per JCR. Categorical.</li> <li>LanguageCountry: Language of the country where the journal is published. Categorical. English, Non-English.</li> <li>IssuesPerYear_JCR: Regularity as number of issues published by year as per JCR. Numeric.</li> <li>PublisherType: Business model of the journal's publisher. Categorical. Profit, Non-profit.</li> <li>SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.</li> <li>Language: Languages in which the journal publish content. Text.</li> <li>RegionalGlobal: Whether the journal explicitly target to a global or regional audience. Categorical. Global, Regional.</li> <li>LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.</li> <li>EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.</li> <li>AdditionalSupport: Additional support that journals offer to authors. Text.</li> <li>AdditionalLanguageGuidelines: Whether the author guidelines are available in languages other than English. Categorical. 0 for ONLY ENGLISH, 1 for ADDITIONAL LANGUAGES IN SOME SECTIONS, 2 for ADDITIONAL LANGUAGES.</li> <li>LanguageGuidelines: If apply, languages in which the author guidelines are available.</li> <li>LinguisticInclusivityStatement: Whether the journal clearly states that a paper will not be rejected solely by the perceived quality of English. Categorical. NO, YES.</li> <li>AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>WhereSecondAbstract: If apply, the format in which the journal publish abstracts in languages other than English. Categorical.</li> <li>ProofReadingAL: If apply, whether the non-English content is proofread. Categorical. </li> <li>ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.</li> <li>AutomaticTranslationTools: Whether the journal's website implement machine translation tools to read the manuscripts in languages other than English. 0 for NO, 1 for YES.</li> </ul> <p>"CuratedDatabase_Survey.txt"</p> <ul> <li>Journal_JCR: Anonymised identifier of the journal name. Text.</li> <li>ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.</li> <li>OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.</li> <li>SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.</li> <li>LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.</li> <li>AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> <li>EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.</li> <li>ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.</li> <li>InstructionsReviewers: Whether reviewers are instructed to avoid recommending the rejection manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.</li> <li>InstructionsEditors: Whether editors are instructed to avoid rejecting manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.</li> <li>YearStartLinguisticPolicies: For journals that publish content in languages other than English, the year in which those policies were implemented. Numeric. Values "1920" correspond to "Before 1920."</li> <li>AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.</li> </ul>
SCOPING REVIEW OF EMPIRICAL LITERATURE ON EVALUATION OF EDITORIAL POLICIES SUPPORTING OPEN SCIENCE PRACTICES IN SCHOLARLY JOURNALS
<p>Excel file containing the description of methods & materials used in the scoping review, the whole dataset of included studies, and respective descriptive metadata.</p>
Motion Policy Networks
<p>This is the pretrained model, training data set, evaluation problem sets, and sample real robot data accompanying Motion Policy Networks, an end-to-end neural model that can be used to generate collision-free, smooth motion from just a single depth camera observation. The training data set consists of over 3 million motion planning problems for a Franka Panda arm in over 500,000 environments. </p>
Energy Sufficiency Policy Database
<p>This folder contains the policy database belonging to the publication <strong>"Building a Database for Energy Sufficiency Policies"</strong> (<a href="https://doi.org/10.12688/f1000research.108822.2">https://doi.org/10.12688/f1000research.108822.2</a>).</p> <p><span>Version 1.1 of the database is replacing version 1.0 from January 2023 of the sufficiency policy database. We made the following changes and revisions:</span></p> <ul> <li><span>> 70 new policies added</span></li> <li><span>New literature added</span></li> <li><span>One Double ID deleted, two IDs merged</span></li> <li><span>New policy strategies added, others renamed</span></li> </ul> <p><strong>Acknowledgements:</strong></p> <p>The database is funded by the Federal Ministry of Education and Research (BMBF) as part of the project “EnSu - Energy Sufficiency in Energy Transition and Society” (https://energysufficiency.de/) within the framework of the Strategy „Research for Sustainability" (FONA) (http://www.fona.de/en) as part of its Social-Ecological Research funding priority, funding nos. [01UU2004A, 01UU2004B, 01UU2004C]. Responsibility for the content of this publication lies with the authors.</p>
Thailand Policy Statements
<p>Collect all Thailand policy statements from Thailand government</p> <p> </p> <p>License: CC-0</p> <p><br>This project is a part of PyThaiNLP project.</p> <p> </p> <p>GitHub: <a href="https://github.com/PyThaiNLP/thailand-policy-statements" target="_blank" rel="noopener">https://github.com/PyThaiNLP/thailand-policy-statements</a></p>
Sensitivity of the global agricultural sector to changes in climate policy - EU countries compared to the rest of the world
<p>The files contain data from the FAOSTAT database used in the article: DOI:10.2478/oszn-2023-0012</p> <p>File content:<br>Agricultural emissions data for the period 1961-2020<br>Population data for 1950-2020<br>Production value from agriculture for the period 1961-2020<br>Agricultural area for the period 1961-2020</p> <p>The layout of the tables and the description of the columns is the same as the FAOSTAT database methodology</p>
Sentiment Analysis of Kampus Merdeka Policy
A project analyzing public sentiment on Kampus Merdeka through data collection, text preprocessing, sentiment classification, and performance evaluation.
Coding frame and dataset for the study: Land-use governance: The interplay of social, market, and policy drivers – A global systematic review
<p>This file entails the coding frame and dataset used to conduct the systematic literature review "Land-use governance: The interplay of social, market, and policy drivers – A global systematic review".</p> <p>This study was first published as Chapter 2 of the PhD Dissertation "From soil to society - Rethinking governance for multifunctional land use and management" (Elsa L. Dingkuhn, 2025), and in a modified form in the journal Earth System Governance (Dingkuhn et al. 2025).</p> <p>The file consists of three sheets:<br>- Coding frame: Includes coding instructions and definitions used to extract and categorize the data.<br>- Variables: A list of dataset variables with explanations.<br>- List of included studies: The 81 studies from which the data was sourced.<br>- Data_List of observations: The dataset itself, consisting of 718 observations extracted from the included studies.</p>
Analysis of policy measures on designing a renewable fuel supply chain in the transport sector- Supplementary materials
<p><strong>This repository contains supporting data for: "Analysis of policy measures on designing a renewable fuel supply chain in the transport sector"</strong></p> <ol> <li> <p><strong>Supplementary Materials</strong>: This collection encompasses the model input data, alongside a detailed formulation of the objective functions.</p> </li> <li> <p><strong>Pareto_Table</strong>: This file contains the Pareto frontier results. </p> </li> <li><strong>DoE_Results_Table</strong>: This file presents the results of various solution scenarios, each characterized by differing levels of policy measures.</li> </ol>
Making predictions for geoscience and climate policy workshop results
<p>This provides the data files and basic plotting and interpretation for results for predictions made in a series of workshops run in 2024, with predictions made for 2024, 2050, 2100 and 5o years after net zero. The workshop results are found in the files "EGU_Prediction-making workshop questions cleaned.csv" and "RGS_...", the code expects these to be in a folder denoted "data". More details can be found in the README.txt. Updates to this codebase can be found in <a href="https://github.com/Rlamboll/ClimatePredictionsWorkshop">https://github.com/Rlamboll/ClimatePredictionsWorkshop.</a></p> <p> </p>
Increased transparency in accounting conventions could benefit climate policy
<p>Datasets of emissions from 1750-2020 and spreadsheet of calculations supporting the manuscript: Wedderburn-Bisshop, G. 2025 <span>Increased transparency in accounting conventions could benefit climate policy</span></p> <p> </p> <h1>Abstract</h1> <p>Greenhouse gas accounting conventions were first devised in the 1990’s to assess and compare emissions. Several assumptions were made when devising these conventions that remain in practice, however recent advances offer potentially more consistent and inclusive accounting of greenhouse gases. We apply these advances, namely: gross accounting of CO<sub>2</sub> sources; linking land use emissions with sectors; using Effective Radiative Forcing (ERF) rather than Global Warming Potentials (GWPs) to compare emissions; including both heating and cooling emissions, and including loss of additional sink capacity (LASC). We compare these results with conventional accounting and find that this approach boosts perceived carbon emissions from deforestation, and finds agriculture, the most extensive land user, to be the leading emissions sector and to have caused 60% (32%-87%) of ERF change since 1750. We also find that fossil fuels are responsible for 17% of ERF, a reduced contribution due to masking from cooling co-emissions. We test the validity of this accounting and find it useful for determining sector responsibility for present-day warming and for framing policy responses, while recognising the dangers of assigning value to cooling emissions, due to health impacts and future warming.</p>
PSM-AP Comparative document analysis data: Priorities and challenges in the policy and digital strategies of ten PSM
<p>The document consists of a list of 61 key policy and strategy documents analysed as part of the comparative work conducted in WP1 of the project Public Service Media in the Age of Platforms (PSM-AP). It also contains a series of selected quotes supporting the three key areas prioritised by the policies and PSM digital strategies: People (reaching audiences), Personalisation (developing the video-on-demand portal), and Prominence (of PSM services and content). The data was collected and analysed in 2023, from documents concerning 10 PSM organisations in seven media markets: Belgium-Flanders (VRT), Belgium-Wallonia Brussels (RTBF), Canada (CBC/Radio-Canada), Denmark (DR, TV 2) Italy (RAI), Poland (TVP), and the UK (BBC, Channel 4, ITV). All quotes were translated to English by the authors.</p>
Open Science: Epistemologies, science policy implementation and digitalisation
<p>This workshop explores Open Science and the promises and challenges for science and society. After briefly covering the definition, history and application of Open Science policies, we discuss why they are relevant and what barriers and concerns there are for implementation. The workshop engages with the challenges of universalising access to knowledge in a world with a plurality of epistemic communities and developmental agendas. Lastly, we discuss the role that digitalisation plays in implementing Open Science policies and what this means for sustainable development.</p>
Dataset- Decarbonization of the Indian Electricity Sector: Technology Choices and Policy Trade-Offs
<p>Input and output data for 40 scenarios for the 2040 Indian electricity sector.</p> <p>Compatible with old versions of GenX: https://github.com/GenXProject/GenX, available upon request.</p> <p> </p>
Global inventory of potentially cultivable land and potentially available cropland under different scenarios and policies
<p><strong>Global inventory of potentially cultivable land and potentially available cropland under different scenarios and policies</strong></p> <p>To identify and investigate potential land-use conflicts and emerging trade-offs between different Sustainable Development Goals, such as food security, climate protection and biodiversity conservation, it is important to identify where land-use change and particularly the expansion of cropland could potentially take place in the future. Therefore, we provide a consistent global dataset of land potentially cultivable and potentially available for agricultural use for past and future time periods from 1980 until 2100. Based on the agricultural suitability of land for 23 globally important food, feed, fiber and first- and second-generation bioenergy crops, and high resolution land cover data, the potentially cultivable land is defined by its agricultural suitability and the (technical) feasibility of agriculture. The potentially available cropland additionally considers potential nature protection policies restricting agriculture in forests, wetlands and strictly protected areas, thereby reflecting key aims of the Sustainable Development goals and recent efforts to stop deforestation, protect the climate and preserve biodiversity.</p> <p>The spatially explicit global datasets of potentially cultivable land (pcl) and potentially available cropland (pac) are available for four different time periods (1980-2009, 2010-20,39, 2040-2069, 2070-2099) under RCP2.6 and RCP8.5. The impact of irrigation on the agricultural suitability is considered by referring to current irrigations patters. However, to enable different assumptions on the irrigation of land potentially cultivable or available for cropland use, all datasets are also available for rainfed and irrigated conditions separately. Moreover, we provide a subset-version of all dataset which excludes land that is solely suitable for second-generation bioenergy crops. All datasets are available at 30 arc-seconds and 30 arc-minutes spatial resolution and aggregated at country level to enable the application in models that use aggregated data.</p> <p>By serving as an input for land-use models, the data could improve the comparability of the models and their output, and increase the consistency within interdisciplinary research and integrated model coupling approaches that investigate land-use change.</p> <p> </p> <p><strong>Further information:</strong></p> <p>A detailed description on the methods and underlying data is available in:</p> <p>Schneider. J.M., Zabel, F., Mauser, W. (2022): Global inventory of suitable, cultivable and available cropland under different scenarios and policies. Scientific Data.<em> </em><a href="https://doi.org/10.1038/s41597-022-01632-8">https://doi.org/10.1038/s41597-022-01632-8</a></p> <p><strong>Contact:</strong></p> <p>Please contact: Julia M. Schneider (Schneider.ju@lmu.de)<br>Department of Geography, Ludwig-Maximilians-Universität München (LMU), Munich, Germany.</p>
Data and code: Climate policy accelerates structural changes in energy employment
<p>The file contains code to create the figures used in main text and supplementary information of the paper <strong>Climate policy accelerates structural changes in energy employment</strong>.</p> <p>To run the RMD file and see the resulting figures, press Knit on R studio (requires the package knitr), or else see the attached HTML file, already created through such a process.</p>
ScienceDex guides
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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.