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349 results for “european union”

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zenodo40/100

Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Norway

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

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

Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Luxembourg

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

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

Animal disease data complementing the European Union One Health 2020 Zoonoses Report

<p>This dataset contains the mandatory annual data reported for bovine tuberculosis and for bovine and ovine and caprine brucellosis based on Directive 2003/99 that cites in Recital 7 the Council Directives 64/432/EEC and 91/68/EEC. The relevant Commission Decisions relating to the officially free (OF) MS and MS&#39; regions and related reporting are: Decision 2003/467/EC for bovine tuberculosis and bovine brucellosis, and Decision 93/52/EC for sheep and goat brucellosis (B. melitensis). REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Disease_status_data_2020_20211109: &gt;&gt;</p>

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

Prevalence data complementing the European Union One Health 2020 Zoonoses Report

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Prev_data_2020&nbsp;&gt;&gt;</p>

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

Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - the United kingdom

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

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

Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Finland

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

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

Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Sweden

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agents in foodstuffs. Relevant EU legislation: Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

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

Supplement code and data for "Accounting for trade in derived products when estimating European Union's role in driving deforestation"

<p>This repository includes the code to reproduce the results and visualizations as well as the complete output underlying the publication:</p> <div> <div>Laroche, P.C.S.J., G&oacute;mez-Su&aacute;rez, M., Persson, U.M., Pendrill, F., Schwarzmueller, F., Schulp, C.J.E., Kastner, T., 2024. Accounting for trade in derived products when estimating European Union&rsquo;s role in driving deforestation. Ecological Economics 224, 108288. <a href="https://doi.org/10.1016/j.ecolecon.2024.108288">https://doi.org/10.1016/j.ecolecon.2024.108288</a></div> </div> <p>&nbsp;</p> <p>The file "01_calculations.R" calculates the files included in the "output" folder. These files can be used to visualize the results using the file "02_visualization.R".<br>The folder input_data contains some of the files necessary to run the code in &nbsp;"01_calculations.R". Note that additional data has to be downloaded to run the calculations, as specified in the R file. The folder "results" includes an xlsx file with the complete output of the calculation using the "mean" conversion factors.</p>

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

Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016

<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2016 are provided.</p>

opencc-by-4.0Feb 2018View details →
zenodo40/100

Tables and Figures complementing the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017

<p>All tables, figures and maps produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2017&nbsp;are provided.</p>

opencc-by-4.0Feb 2019View details →
zenodo40/100

Spatial distribution of cattle, sheep and goat density, and grazed areas for the European Union and the United Kingdom

<p>To improve the sustainability of the European livestock sector we need improved knowledge on livestock density, and also on the grazing patterns. Here we provide spatially explicit data on the distribution of cattle, sheep and goats, developed by combining agricultural and veterinary statistics, in-situ data, expert surveys and machine learning. The data allow for the differentiation between livestock that are grazing on semi-natural areas and managed grasslands, versus those that do not graze and are kept indoors.&nbsp;</p> <p>This dataset covers all European Union Member States and the United Kingdom, and presents the spatial distribution of cattle, sheep and goat density for approximately the year 2020. Livestock density was allocated on the Corine Land Cover data, resulting in a data-set with a 100 m resolution (EPSG: 3035 - ETRS89-extended / LAEA Europe).</p> <p>Together with the livestock density maps, we also provide spatial data on the probability for grazing, and allocated grazed and non grazed areas.</p> <p><strong>File description:</strong></p> <p>The data-set consists of the following files:</p> <p>&nbsp;</p> <ul> <li><strong>clc_forage_mask.tif</strong>&nbsp;, forage areas mask for EU, based on selected Corine Land Cover classes (not including seminatural land cover areas such as natural grasslands...). This was developed by surveying grazing, grassland and livestock experts from all EU Member States and the United Kingdom. More info in the upcoming paper and in the linked paper below (Malek et al. 2024). Values are the same as in the Corine Land Cover data.</li> <li><strong>grazing_probability.tif</strong>&nbsp;, grazing probability map, indicating how likely each location in the EU+UK is grazed</li> <li><strong>allocated_grazing.tif</strong>&nbsp;, allocated grazing map, indicating which areas are grazed and which are not</li> </ul> <p>&nbsp;</p> <ul> <li>cattle density maps: <ul> <li><strong>cattle_grazing.tif</strong>&nbsp;, cattle grazing on managed forage areas</li> <li><strong>cattle_other.tif</strong>&nbsp;, cattle kept indoors, receiving feed from managed forage areas</li> <li><strong>cattle_seminatural.tif</strong>&nbsp;,&nbsp; cattle grazing in semi-natural areas</li> <li><strong>cattle_mosaic_categorical.tif</strong>&nbsp;(with a legend file) , combined categorical map for all cattle types.</li> </ul> </li> </ul> <p>&nbsp;</p> <ul> <li>sheep and goat density maps: <ul> <li><strong>sheep_goat_other.tif</strong>&nbsp;, sheep and goat density</li> <li><strong>sheep_goat_seminatural.tif&nbsp;</strong>, sheep and goat grazing in seminatural areas</li> </ul> </li> </ul>

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

D6.3 - Outputs of the assessment of the biodiversity loss induced by the soy commodities market between Brazil and the European Union

<p><span>This dataset compiles the results of an assessment of biodiversity loss caused by the soy commodities trade between Brazil and the European Union from 2004 to 2020. The file &ldquo;SM&rdquo; refers to supplementary material. The file &ldquo;POA1&rdquo; contains biodiversity loss characterisation factors for land occupation and land transformation, estimated based on CLEVER D2.4. The file &ldquo;POA2&rdquo; includes indicators of biodiversity loss due to soy cultivation in Brazil at the municipality level. Finally, the file &ldquo;POA3&rdquo; presents the biodiversity footprint of the Brazilian soy commodities traded in the European Union.</span></p>

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

Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020 - high quality maps

<p>Here you can find the high quality maps published in &#39;Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020&#39; by EFSA.</p>

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

Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020 - monthly maps

<p>Here you can find monthly maps referred in publication &#39;Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2020&#39; by EFSA.</p> <p>Figure legend for all figures:<br> Monthly observations and samples from wild birds on the EFSA list of target species for 2020&nbsp;by NUTS3 region. The green colour scale represents the number of wild bird observations from the target species, as per data provided by the EuroBirdPortal project. The black dots represent the number of wild bird samples from target species tested within the countries&#39; AI passive surveillance programmes. Wild bird samples reported at NUTS2 level are not shown on these maps.</p>

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

PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Survey at citizen level and data relative to regional performance of the Cohesion Policy and institutional quality

<p>1. Orignal PERCEIVE survey data (STATA file)</p> <p>2. description of survey questions, descriptive results (word file)</p> <p>3. EU Deliverable document with descriptive analysis of survey questions</p> <p>&nbsp;</p> <p>***please cite the following when using the microdata:</p> <p>Bauhr, M., &amp; Charron, N. (2020). The EU as a savior and a saint? Corruption and public support for redistribution. <em>Journal of European Public Policy</em>, <em>27</em>(4), 509-527.</p> <p>https://www.tandfonline.com/doi/full/10.1080/13501763.2019.1578816</p>

opencc-by-4.0Dec 2016View details →
zenodo40/100

European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2020/2021

<p>All tables produced for the European Union Summary Report on Antimicrobial Resistance in&nbsp;Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2021:</p> <p>- <em>Campylobacter</em></p> <p><em>- E. coli</em></p> <p>- MRSA</p> <p>- <em>Salmonella</em></p> <p>- ESBL</p> <p>Annexes A to F&nbsp;are also included.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Open datasets used in the analysis of impact of European Union Funding Programmes (Framework Programmes).

<p>This repository will hold datasets used in the various analysis on results, achievements and impact of European Union Funding Programmes (Framework Programmes:, FP). It&nbsp;supports the objective of using openly available dataset to study the results of the FP funding.</p> <p>The repository will be periodically updated with new datasets and links to the analysis.</p> <p><strong>Disclaimer:</strong></p> <p><em>The views expressed in this paper are the author&rsquo;s. They do not reflect the views or official positions of the European Commission or the European Research Council.</em></p> <p>&nbsp;</p> <p><strong>List of datasets included :</strong></p> <p>1.&nbsp;dataset for the analysis: <a href="https://data.europa.eu/doi/10.2777/235579">Contribution of the Framework Programmes to IPCC: Insights from the References of IPCC Reports</a><em><strong>&nbsp;</strong></em></p> <p>&nbsp; &nbsp; The analysis is an update of an earlier report titled <em><strong><a href="https://data.europa.eu/doi/10.2777/928125">Informing global climate action: Contribution of the Framework Programmes (FP7 and H2020) to recent IPCC reports</a></strong></em></p> <p>the dataset is provided in&nbsp;&nbsp;json_l format&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Tables and figures complementing the European Union One Health 2018 Zoonoses Report

<p>All summary tables and&nbsp;figures produced for the European Union One Health 2018 Zoonoses Report&nbsp;are provided as archives containing Excel files for tables, and as PDF or PNG files for figures.</p> <p><strong>All country data connected to this Report are published SEPARATELY on Knowledge Junction - see related identifiers. This is because DATA OWNERSHIP&nbsp;for country data stays with the organisation(s) of the country&nbsp;submitting&nbsp;the data - for further reference see doi:10.2903/sp.efsa.2019.EN-1544.</strong></p>

opencc-by-4.0Nov 2019View details →
zenodo36/100

Prevalence data complementing the European Union One Health 2018 Zoonoses Report

<p>This dataset contains monitoring data on zoonoses and zoonotic agents under the Directive 2003/99/EC. This Directive requires Member Sates (MSs) to collect, evaluate and report data on zoonoses and zoonotic agents. MSs can also report monitoring data and information on some other pathogenic microbiological agentsin foodstuffs. Relevant EU legislation is:Commission Regulation (EC) No 2073/2005,Commission Regulation (EC) No 1441/2007, Commission Regulation (EU) No 1086/2011, Commission Regulation (EU) No 209/2013, Commission Regulation(EU) No 217/2014.</p>

opencc-by-4.0Dec 2019View details →
zenodo36/100

Food and waterborne outbreaks data complementing the European Union One Health 2018 Zoonoses Report

<p>Food and waterborne outbreaks data reported under the framework of Directive 2003/99/EC and in accordance with the update of the technical specifications for harmonised reporting of FBOs through the EU reporting system in accordance with Directive 2003/99/EC. This dataset includes the number of outbreaks, as well as the number of human cases, hospitalisations and deaths, per causative agent. In addition, other information can include data on causative agents, food vehicles, and the factors in food preparation and handling that contributed to the food-borne outbreaks. Reporting countries can also provide information on the nature of the evidence supporting the suspicion of the food vehicle. This evidence can be epidemiological, microbiological, descriptive environmental, or based on product tracing investigations.&nbsp;</p>

opencc-by-4.0Dec 2019View details →

ScienceDex guides

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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