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16 results for “OECD”
PubChem OECD PFAS Larger PFAS Parts file for MetFrag
<p>This is a <a href="https://msbi.ipb-halle.de/MetFrag/">MetFrag</a> database file constructed from the "Molecule contains PFAS parts larger than CF<sub>2</sub>/CF<sub>3</sub>" subnode of the OECD PFAS Definition node in the <a href="https://pubchem.ncbi.nlm.nih.gov/classification/#hid=120"> PFAS and Fluorinated Organic Compounds in PubChem Tree</a> on the Classification Browser in PubChem.</p> <p>This file was constructed by downloading the node contents, selecting the columns of interest, changing the headers to MetFrag-compatible headers. Entries containing Xe, Pr, Po, Ru and W were removed; charges were also removed from formulas to avoid issues with MetFragCL.</p> <p>The construction of the tree is documented <a href="https://gitlab.com/uniluxembourg/lcsb/eci/pubchem-docs/-/raw/main/pfas-tree/PFAS_Tree.pdf?inline=false">here</a>.</p> <p>Note: PubChem authors have been removed from this version to comply with a presidential decree. This version was prepared exclusively by the remaining author. </p>
S25 | OECDPFAS | List of PFAS from the OECD
<p>This is the collection associated with list S25 OECDPFAS on the NORMAN Suspect List Exchange.</p> <p><a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a></p> <p>S25 | OECDPFAS | <strong>List of PFAS from the OECD</strong></p> <p>A list of PFAS released by the OECD, provided by Zhanyun Wang. Details in this <a href="https://www.norman-network.com/sites/default/files/files/suspectListExchange/190618Update/ENV-JM-MONO%282018%297.pdf">OECD Monograph</a>. Extensive registration and curation performed by CompTox Dashboard team (see CompTox files). </p> <p>Nov 14 update: added CSV. Feb 6, 2020: minor SMILES corrections in CSV for PubChem upload. 12 Mar 2022: corrected structure for DTXSID90703694.</p>
OECD Digitalization Dataset ODDEA Project
<p>Dataset collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (<em>Project ID: HORIZON MSCA-SE 101086381)</em>.The dataset consists of four OECD databases: Broadband and Telecommunication Database (23 indicators), The ICT Access and Usage by Households Database, The ICT Access and Usage by Individuals Database (106 indicators for households and individuals) , The ICT Usage by Business Database (59 indicators). The data are collected in Excel files (3) and csv file (1). They cover a period of 2012 to 2023 (if available) for OECD countries (40).</p>
Organisation for Economic Co-operation and Development (OECD) data for Antalya (Turkey), Antwerp (Belgium), Cork (Ireland), Thessaloniki (Greece) (source: OECD)
<p>The data have been collected via the official OECD Application Programming Interface (API)<strong> </strong>and<strong> </strong>includes the following indicators:</p> <ul> <li>EmpPlaRes - Employment at place of residence</li> <li>LfPartRa - Labour Force and Participation rate</li> <li>UnemReg - Unemployment in regions </li> <li>RegGdpTL2 - Regional Gross Domestic Product (Large regions TL2)</li> <li>GDPLT3 - Gross Domestic Product (Small regions TL3)</li> <li>RegEmIndu - Regional Employment by industry (ISIC rev 4)</li> <li>RegGVAWorker - Regional GVA per worker</li> <li>RegIncPC - Regional income per capita</li> </ul> <p>Source: https://data.oecd.org/api/</p>
RESET-OECD dataset
<p>Refugee resettlement has become an important part of international asylum governance. Resettlement is the transfer of refugees from a country of first asylum to another country that has agreed to admit them for humanitarian reasons and grant them permanent residence (UNHCR). The RESET-OECD dataset provides a series of quantitative indicators of the resettlement policies covering OECD countries between 1980 and 2019.</p>
Mapping Building BioData.pt Indicators against the performance and impact assessment frameworks for research infrastructures of OECD, ESFRI and RI-PATHS project
<p>"Buiding BioData.pt" indicators observed in international frameworks for performance and impact assessment of research infrastructures, namely, OECD, ESFRI and RI-PATHS.</p>
Relevance of "Building BioData.pt" indicators identified in ESFRI (E), OECD (O) and RI-PATHS (R) impact assessment frameworks
<p>The relevance of the indicators maintained by the "Building BioData.pt" project was assessed against the objectives of different organizations/initiatives: 1) Strategic objectives of BioData.pt; 2) Objectives of the Portuguese Roadmap for Research Infrastructures; 3) Objectives of ELIXIR; 4) Objectives of EOSC; 5) Sustainable Development Goals of the United Nations.</p>
Structural breaks in greenhouse gas emissions for OECD countries in 1995-2022 and 37 sectors
<p>The quantitative assessment of policy instruments aimed at climate change mitigation requires the rigorous identification of abnormal changes in greenhouse gas emissions. We present a new dataset of robust level changes in greenhouse gas emissions that cannot be explained by aggregate socioeconomic fluctuations. Modern methods of structural break identification based on two-way fixed effects models are employed to estimate the size of significant level changes in emissions. The resulting dataset spans information for all OECD countries and all 37 IPCC sectors, ranging from 1995 to 2022. The data unveils large differences in abnormal changes in emissions across gases, countries and sectors, as well as over time. Our resulting data can be applied to a broad range of research questions, including the analysis of the comparative efficacy of policy instruments to mitigate climate change.</p>
IUCLID templates for PPP Risk Assessment - Template 7.2 - Template for presenting the results of the OECD 106 evaluators checklist
<p>This word file contains the template for <strong>presenting the results of the OECD 106 evaluators checklist</strong>. The template has been draft based on the Technical report on the outcome of the pesticides peer review meeting on the OECD 106 evaluators checklist (EFSA, 2017).<br> The filled-in template shall be pasted in the "<strong>Any other information on results incl. tables</strong> " field of IUCLID document “<strong>Adsorption and desorption in soil</strong>”<strong> </strong>endpoint study record (Section 7.1.3.1 of active substance dataset).</p>
Communication Research in OECD Countries: H-Classics Dataset
<p>Communication Research in OECD Countries: H-Classics Dataset</p>
Dataset for paper submission: "Revisiting the Long-Run Relationship Between Inward/Outward FDI and Income Inequality: New Evidence from the OECD"
<p>The relatively small panel cointegration literature on the dynamics between FDI and income inequality predominantly finds that FDI will reduce income inequality in the long-run in developed countries. However, we point out an important technical oversight in the literature. Not accounting for cross-section dependence in panel data methodologies may yield unreliable results. Expanding on the work of @herzer/nunnenkamp:13, who pioneered the use of panel cointegration in the European context, we obtain different results when we account for cross-section dependence and employ economic procedures robust to it. Using a panel containing 16 OECD countries (1979-2017), 2 income inequality measures, and 4 FDI measures, we begin by showing strong evidence for the existence of cross-section dependence. Then, using second-generation econometric procedures, we do not find any evidence for a cointegrating relationship between inward FDI and income inequality. We do find evidence that outward FDI is cointegrated with income inequality; however, contrary to the main results of the literature, we find that it widens the income gap in the long-run. Additionally, our results support the view that fiscal policy is an important tool to reduce income inequality.</p>
Data from: Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012–2014
Objective: To compare the drowning mortality rates and proportion of deaths of each intent among all drowning deaths in Organisation for Economic Co-operation and Development (OECD) countries in 2012–2014. Design: A population-based cross-sectional study. Setting: 32 OECD countries. Participants: Individuals in OECD countries who died from drowning. Main outcome measures: Drowning mortality rates (deaths per 100,000 population) and proportion (%) of deaths of each intent (i.e., unintentional intent, intentional self-harm, assault, undetermined intent, and all intents combined) among all drowning deaths. Results: Countries with the highest drowning mortality rates (deaths per 100,000 population) were Estonia (3.53), Japan (3.49), and Greece (2.40) for unintentional intent; Ireland (0.96), Belgium (0.96), and Korea (0.89) for intentional self-harm; Austria (0.57), Korea (0.56), and Hungary (0.44) for undetermined intent; and Japan (4.35), Estonia (3.70), and Korea (2.73) for all intents combined. Korea ranked 12th and third for unintentional intent and all intents combined, respectively. By contrast, Belgium ranked second and 15th for intentional self-harm and all intents combined, respectively. The proportion of deaths of each intent among all drowning deaths in each country varied greatly: from 26.2% in Belgium to 96.8% in Chile for unintentional intent; 0.7% in Mexico to 57.4% in Belgium for intentional self-harm; 0.0% in nine countries to 4.9% in Mexico for assault; and 0.0% in Israel and Turkey to 38.3% in Austria for undetermined intent. Conclusions: A large variation in the practice of classifying undetermined intent in drowning deaths across countries was noted and this variation hinders valid international comparisons of intent-specific (unintentional and intentional self-harm) drowning mortality rates.
Economic Voting and State-Business Relations in OECD Countries
<p>Data replication files for "<strong>Economic Voting and State-Business Relations in OECD CountriesEconomic Voting and State-Business Relations in OECD Countries"</strong> (forthcoming)</p>
Data from: Drowning mortality by intent: a population-based cross-sectional study of 32 OECD countries, 2012–2014
Open the record for dataset details and reuse information.
Do Childhood Measles and DTaP Vaccination Decrease the Mortality Rate Caused by COVID-19 in OECD Countries?
ClinicalTrials.gov study NCT04468802. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Export Quality, Employment (Skill level and aggregate) and other variables dataset for research article titled - Dual Edge of Export Quality: Does it Boost Employment? Insights from OECD and G20 Countries
<p>The analysis has been carried out for a sample of 45 countries belonging to the G20 and OECD for the period–1990-2019. For skill level analysis, the data is available for 33 countries for low-, high-, and semi-skill employment and 22 countries for unskilled employment. For low- and high-skill employment, data is available for 1995-2019; for semi-skill employment, it is available for 2000-2019, and for unskilled employment for 2006-2019. The employment datasets are obtained from the International Labour Organization (ILO) website and export quality indicators from the International Monetary Fund (IMF) online database website. The datasets on R&D, FDI, Gross Fixed capital formation, Medium and high technology exports, ICT indicators, and export unit value index are obtained from the World Bank’s World Development Indicators (WDI) and average Tariff data from the World Integrated Trade Solution (WITS) website. </p>
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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.