Skip to main content
Powered by ShareScore

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.

809

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

809 results for “complement”

Learn how ShareScore rates datasets ↗
zenodo36/100

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 – Croatia

<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:&nbsp;Croatian Veterinary Institute</p>

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

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 – Cyprus

<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:&nbsp;Ministry of Agriculture, Rural Development and Environment</p>

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

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 – Bulgaria

<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:&nbsp;Risk Assessment Center on Food Chain</p>

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

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 – Malta

<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:&nbsp;Ministry for Agriculture, Fisheries and Animal Rights</p>

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

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 – Hungary

<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:&nbsp;National Food Chain Safety Office</p>

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

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 – Belgium

<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 SCIENSANO</p>

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

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:&nbsp;French Agency for Food, Environmental and Occupational Health &amp; Safety</p>

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

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:&nbsp;Austrian Agency for Health and Food Safety</p>

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

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:&nbsp;National Food and Veterinary Risk Assessment Institute</p>

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

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:&nbsp;Institute of Hygiene and Veterinary Public Heath and Institute for Diagnosis and Animal Health</p>

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

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&nbsp;are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;Federal Institute for Risk Assessment</p>

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

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:&nbsp;Veterinary and Food Board</p>

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

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:&nbsp;Finnish Food Authority</p>

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

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:&nbsp;Administration des services v&eacute;t&eacute;rinaires</p>

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

Data complementing the Avian influenza overwiew December 2022- March 2023

<p>The Annex contains tables and figures on wild birds species and movements and HPAI virus detections in birds.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

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

Data complementing the Avian influenza overview March – April 2023

<p>Annex A&nbsp;&ndash;&nbsp;&nbsp;&nbsp;&nbsp; Data on wild bird&nbsp;species, movements and HPAI detections in birds</p> <p>The annex contains tables and figures on wild bird&nbsp;species and movements and HPAI virus detections in birds.</p> <p>Annex B &ndash;&nbsp;&nbsp;&nbsp;&nbsp; Applied prevention and control measures on avian influenza</p> <p>The annex contains an overview of specific prevention and control measures applied in AAustria, Belgium, Bulgaria, Cyprus, Czechia, Denmark, Estonia, France, Hungary, Ireland, Italy, Moldova, the Netherlands, &nbsp;Poland, Romania, Slovakia, Slovenia, Spain, Sweden and Switzerland &nbsp;from 18 November 2022 to 3 April 2023 in relation to avian influenza outbreaks in poultry and in wild birds.</p> <p>Annex C&nbsp;&ndash;&nbsp;&nbsp;&nbsp;&nbsp; Characteristics of the HPAI A(H5Nx)-positive poultry establishments</p> <p>The Annex contains table with the characteristics of the HPAI A(H5Nx)-positive poultry establishments by affected EU Member State from 18 November 2022 - 3&nbsp;April 2023.&nbsp;</p> <p>Annex D- Data on virus sequences</p> <p>The annex contains information on&nbsp;authors, originating and submitting laboratories of the sequences from GISAID&rsquo;s EpiFlu&trade; Database on which this research is based.&nbsp;All submitters of data may be contacted directly via <a href="https://www.gisaid.org.">www.gisaid.org.</a></p> <p>&nbsp;</p>

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

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 -&nbsp;Bulgarian Food Safety Agency (BFSA)</li> </ul>

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

Data complementing the Avian influenza overview April- June 2023

<p>Annex A&nbsp;&ndash;&nbsp;&nbsp;&nbsp;&nbsp; Data on wild bird&nbsp;species and HPAI detections in birds</p> <p>The annex contains tables and figures on wild bird&nbsp;species&nbsp;and HPAI virus detections in birds.</p> <p>Annex B &ndash;&nbsp;&nbsp;&nbsp;&nbsp; Applied prevention and control measures on avian influenza</p> <p>The annex contains an overview of specific prevention and control measures applied in&nbsp; Czechia, Denmark,&nbsp;Hungary,&nbsp;Italy and&nbsp;Poland&nbsp; from 4 April to 9 June 2023 in relation to avian influenza outbreaks in poultry and in wild birds. In addition, the overview&nbsp;of specific prevention and control measures applied in Poland from 27 February to 3 April&nbsp;that were not included in the previous published report; this&nbsp;information is also included in Annex B.</p> <p>Annex C&nbsp;&ndash;&nbsp;&nbsp;&nbsp;&nbsp; Characteristics of the HPAI A(H5Nx)-positive poultry establishments</p> <p>The Annex contains table with the characteristics of the HPAI A(H5Nx)-positive poultry establishments by affected EU Member State from 4&nbsp;April to 9 June 2023.&nbsp;In addition, Germany and Poland reported on the characteristics of the HPAI A(H5Nx)-positive poultry establishments affected between 27 February and 3 April&nbsp;that were not included in the previous published report; this&nbsp;information is also included in Annex C.</p> <p>Annex D- Data on virus sequences</p> <p>The annex contains information on&nbsp;authors, originating and submitting laboratories of the sequences from GISAID&rsquo;s EpiFlu&trade; Database on which this research is based.&nbsp;All submitters of data may be contacted directly via <a href="https://www.gisaid.org.">www.gisaid.org.</a></p> <p>&nbsp;</p>

opencc-by-4.0Jul 2023View details →
dryad36/100

Data from: Plant-derived environmental DNA complements diversity estimates from traditional arthropod monitoring methods but outperforms them detecting plant-arthropod interactions

<p>Our limited knowledge about the ecological drivers of global arthropod decline highlights the urgent need for more effective biodiversity monitoring approaches. Monitoring of arthropods is commonly performed using passive trapping devices, which reliably recover diverse communities, but provide little ecological information on the sampled taxa. Especially the manifold interactions of arthropods with plants are barely understood. A promising strategy to overcome this shortfall is environmental DNA (eDNA) metabarcoding from plant material on which arthropods have left DNA traces through direct or indirect interactions. However, the accuracy of this approach has not been sufficiently tested. In four experiments, we exhaustively test the comparative performance of plant-derived eDNA from surface washes of plants and homogenized plant material against traditional monitoring approaches. We show that the recovered communities of plant-derived eDNA and traditional approaches only partly overlap, with eDNA recovering various additional taxa. This suggests eDNA as a useful complementary tool to traditional monitoring. Despite the differences in recovered taxa, estimates of community α- and β-diversity between both approaches are well correlated, highlighting the utility of eDNA as a broad scale tool for community monitoring. Last, eDNA outperforms traditional approaches in the recovery of plant-specific arthropod communities. Unlike traditional monitoring, eDNA revealed fine-scaled community differentiation between individual plants and even within plant compartments. Especially specialized herbivores are better recovered with eDNA. Our results highlight the value of plant derived eDNA analysis for large-scale biodiversity assessments that include information about community level interactions.</p>

opencc-zeroSep 2023View details →
ClinicalTrials.gov36/100

Complement Inhibition Using Eculizumab to Overcome Platelet Transfusion Refractoriness in Patients With Severe Thrombocytopenia

ClinicalTrials.gov study NCT02298933. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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