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349 results for “european union”
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – France
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: French Agency for Food, Environmental and Occupational Health & Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Austria
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Austrian Agency for Health and Food Safety</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Lithuania
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: National Food and Veterinary Risk Assessment Institute</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Romania
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Institute of Hygiene and Veterinary Public Heath and Institute for Diagnosis and Animal Health</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Germany
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Federal Institute for Risk Assessment</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Estonia
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Veterinary and Food Board</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Finland
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods, as well as the voluntary reporting of and Whole Genome Sequencing (WGS) data are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Finnish Food Authority</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Luxembourg
<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection: Administration des services vétérinaires</p>
Pig population data complementing the annual report on the epidemiological analyses of African swine fever (ASF) in the European Union - Bulgaria
<p>This dataset contains swine population data.</p> <p><strong>Reporting authorities contributing to the data collection:</strong></p> <ul> <li>ASF2022_BG - Bulgarian Food Safety Agency (BFSA)</li> </ul>
TRANSFORM - Observational Cohort Study of Darbepoetin Alfa Use in European Union (EU) Hemodialysis Patients Switched From PEG Epoetin Beta
ClinicalTrials.gov study NCT01997892. IPD Sharing: Not stated. Countries: 7. Publications: 1.
To Compare Efficacy and Safety of CT-P16 and European Union-Approved Avastin as First-Line Treatment for Metastatic or Recurrent Non-Squamous Non-Small Cell Lung Cancer
ClinicalTrials.gov study NCT03676192. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Personalised Risk Assessment in Febrile Illness to Optimise Real-life Management Across the European Union (PERFORM)
ClinicalTrials.gov study NCT03502993. IPD Sharing: NO. Countries: 1. Publications: 2.
Scholarly publications reported by the projects funded by the European Union under the 7th Framework Programme.
<p><strong>N.B: </strong></p> <p>An updated dataset has been published by CORDIS on the <strong>European Union Open Data Portal </strong></p> <p>It can be found under the following link :</p> <p><a href="https://data.europa.eu/data/datasets/cordisfp7projects">CORDIS - EU research projects under FP7 (2007-2013)</a></p> <p>The documentation of the data quality process has been also updated </p> <p>Mugabushaka, A,M, (2020). <em>Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects</em>. <a href="https://arxiv.org/abs/2011.07880">https://arxiv.org/abs/2011.07880</a></p> <p>-------</p> <p>Here we release the first version of a complete and curated dataset of scholarly publications reported by the projects funded by the European Union under the 7th Framework Programme. </p> <p>For the creation of the dataset, we not only consolidated data from different reporting channels, we also undertook extensive quality assurance steps to: </p> <ol> <li> to validate reported records by systematically matching them to external authoritative sources and </li> <li>to assign them external identifiers, most notably digital object identifiers. </li> </ol> <p>The process is described in the following ArXiv preprint: </p> <p>Mugabushaka, A,M, (2020). Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects. <a href="https://arxiv.org/abs/2011.07880">ArXiv 2011.07880 </a><br> </p> <p><strong>Dataset Description </strong></p> <p>This version is provided as a csv file and contains 18 fields.</p> <p><strong>id_project :</strong> project/grant identifier it corresponds to the project id (grant agreement number) provided in the project dataset in the European Open data portal<br> https://data.europa.eu/euodp/en/data/dataset/cordisfp7projects</p> <p><strong>id_record : </strong>unique identifier of the records, created by the European Commission services</p> <p><strong>id_dataset: </strong>initial reporting channel (please refer to the <a href="https://arxiv.org/abs/2011.07880">ArxIv pre-print </a>for explanations)</p> <p><br> the fields with the <strong>pre-fix "reported_" </strong>refer to the entries as provided by the Grant Holders in reporting systems<br> the fields with the <strong>pre-fix "qa_"</strong> refer the links between the records and external authoritative sources . They are the results of the data quality process as described in the <a href="https://arxiv.org/abs/2011.07880">ArXiv pre-print</a></p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Annexes to the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2017/2018
<p><strong>Version 2 - changes as compared to version 1</strong></p> <p>The following revisions were applied to the file EUSR AMR2018_Annexes A-F.docx in the<em> section Annex F</em>:</p> <p>- in Table 6B, pages 119-120, the footnotes (e) to (p) were re-attributed in the table, so as to match the table footnotes;</p> <p>- in Table 31 on page 123, 'LA' was replaced with 'HA' for Belgium data in the column titled 'LA, CA or HA'.</p> <p>Light formatting has been applied on pages 121 and 122, Tables 7a and 7b, changed from portrait to landscape orientation, as well as to footers and headers that were made consistent throughout the document.</p> <p>---------</p> <p><strong>Version 1 </strong></p> <p>All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2018 :</p> <p>- Campylobacter</p> <p>- E. coli</p> <p>- MRSA</p> <p>-Salmonella</p> <p>- ESBL</p> <p>Annexes A to F are also included.</p> <p> </p>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Romania
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Italy
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Iceland
<p>This dataset contains the results of the surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Switzerland
<p>This dataset contains the results of the surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund</li> </ul>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Croatia
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Luxembourg
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
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
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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.