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2,992 results for “influenza”

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zenodo52/100

Iceland as stepping stone for intercontinental spread of highly pathogenic avian influenza H5N1 virus between Europe and North America: data set on phylogeographic analysis

<p>Highly pathogenic avian influenza viruses (HPAIV) subtype H5 clade 2.3.4.4b&nbsp;have widely spread within the northern hemisphere since 2020 and threaten wild bird populations as well as poultry production. For the very first time, HPAIV were detected in wild birds and, subsequently, in poultry holdings in Iceland.</p> <p>Here, we present phylogeographic evidence that Iceland has been used as a stepping stone for HPAIV translocation from Northern Europe to North America in 2021 and describe two independent incursions of HPAI H5N1 clade 2.3.4.4b viruses of two different genotypes to Iceland in 2021 and 2022.</p>

opencc-by-4.0Jun 2022View details →
zenodo48/100

Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe

<p>The data in this repository were used to conduct the analysis outlined in the following bioRxiv preprint:</p> <ul> <li>Sarah Hayes, Joe Hilton, Joaquin Mould-Quevedo, Christl Donnelly, Matthew Baylis, Liam Brierley (2025) "Ecology and environment predict spatially stratified risk of H5 highly pathogenic avian influenza clade 2.3.4.4b in wild birds across Europe" <em>bioRxiv</em> doi:10.1101/2024.07.17.603912</li> </ul> <p>The codes used for the analyses are available at https://github.com/sarahhayes/avian_flu_sdm/&nbsp;</p> <p>The following lookup table can be used to cross-reference between the variable descriptions in Tables 1 and 2 of the preprint and the files in this repository:</p> <p>&nbsp;</p> <table> <tbody> <tr> <td> <h3>&nbsp;Variable description&nbsp;</h3> </td> <td> <h3>&nbsp;Filename&nbsp;</h3> </td> </tr> <tr> <td>&nbsp;Minimum elevation (metres above sea level)&nbsp;&nbsp;</td> <td>&nbsp;elevation_min_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Maximum elevation (metres above sea level)&nbsp;&nbsp;</td> <td>&nbsp;elevation_max_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Difference between minimum and maximum elevation&nbsp;&nbsp;&nbsp;</td> <td>&nbsp;elevation_diff_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Modal elevation (metres above sea level)&nbsp;&nbsp;</td> <td>&nbsp;elevation_mode_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Normalised Difference Vegetation Index (NDVI)&nbsp;&nbsp;</td> <td>&nbsp;ndvi_*_quart_2022_eco_rasts.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Land cover&nbsp;</td> <td>&nbsp;landcover_output_full_2022_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Distance to coast&nbsp;</td> <td>&nbsp;dist_to_coast_10kres.csv&nbsp;</td> </tr> <tr> <td>&nbsp;Distance to inland water&nbsp;</td> <td>&nbsp;dist_to_water_output_10kres.csv&nbsp;</td> </tr> <tr> <td>&nbsp;Relative humidity&nbsp;</td> <td>&nbsp;mean_relative_humidity_q*_10kres_eco_quarts.tif&nbsp;</td> </tr> <tr> <td>Seasonal weighted mean of the month-wise difference in&nbsp;the minimum temperature&nbsp;and maximum temperature (degrees Celsius) &nbsp;</td> <td>&nbsp;mean_diff_*_quart_eco_rasts.tif&nbsp;&nbsp;</td> </tr> <tr> <td>Seasonal weighted mean of&nbsp;monthly mean temperatures (degrees Celsius) (Mean monthly temperature for each month calculated&nbsp;using: Mean temperature =&nbsp;Minimum temperature +&nbsp;diurnal range/2)</td> <td>&nbsp;mean_mean_*_quart_eco_rasts.tif&nbsp;&nbsp;</td> </tr> <tr> <td>Seasonal temperature variation (degrees Celsius)<br>(Difference between the maximum and minimum of<br>mean monthly temperature&nbsp;values across months<br>majority-represented within the season)</td> <td>&nbsp;variation_in_quarterly_mean_temp_q*_eco_rasts.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Precipitation&nbsp;&nbsp;</td> <td>&nbsp;mean_prec_*_quart_eco_rasts.tif&nbsp;&nbsp;</td> </tr> <tr> <td>Seasonal mean of daily zero-degree isotherm (metres<br>above sea level)&nbsp;</td> <td>&nbsp;isotherm_mean_q*_eco_rasts.tif&nbsp;</td> </tr> <tr> <td>Number of days the zerodegree isotherm was below 1 metre at midday at Coordinated Universal Time (UTC)&nbsp;&nbsp;</td> <td>&nbsp;isotherm_midday_days_below1_q*_eco_quarts.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Chicken density&nbsp;</td> <td>&nbsp;chicken_density_2010_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Duck density&nbsp;</td> <td>&nbsp;duck_density_2010_10kres.tif&nbsp;</td> </tr> <tr> <td>&nbsp;<em>Anatinae</em> (dabbling ducks)&nbsp;</td> <td>&nbsp;anatinae_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;<em>Anserinae</em> (swans and geese)&nbsp;</td> <td>&nbsp;anserinae_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;<em>Ardeidae</em> (herons)&nbsp;&nbsp;</td> <td>&nbsp;ardeidae_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;<em>Arenaria/Calidris</em> (turnstones and sandpipers)&nbsp;</td> <td>&nbsp;arenaria_calidris_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;<em>Aythyini</em> (diving ducks)</td> <td>&nbsp;aythyini_rast_eco_bds.tif</td> </tr> <tr> <td>&nbsp;Laridae (gulls)&nbsp;</td> <td>&nbsp;laridae_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Percentage time spent feeding within 2m of water surface&nbsp;</td> <td>&nbsp;around_surf_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Percentage time spent feeding &gt;2m below water surface&nbsp;</td> <td>&nbsp;below_surf_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Percentage diet plants&nbsp;</td> <td>&nbsp;plant_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Percentage diet scavenging&nbsp;</td> <td>&nbsp;scav_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Percentage diet endothermic vertebrates&nbsp;</td> <td>&nbsp;vend_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Congregative&nbsp;</td> <td>&nbsp;cong_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Migratory&nbsp;</td> <td>&nbsp;migr_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Below threshold phylogenetic distance to known host species&nbsp;&nbsp;</td> <td>&nbsp;host_dist_rast_eco_bds.tif&nbsp;</td> </tr> <tr> <td>&nbsp;Species richness&nbsp;</td> <td>&nbsp; species_richness_rast_eco_bds.tif&nbsp;</td> </tr> </tbody> </table>

opencc-by-4.0Aug 2024View details →
zenodo44/100

An epidemiological overview of the equine influenza epidemic in Great Britain during 2019: Dataset

<p>This repository contains datasets and code used for the manuscript as titled. All details regarding the data source and considerations that should be noted are discussed in the manuscript.</p> <p><strong>Referencing this dataset</strong></p> <p>Fleur Whitlock, John Grewar &amp; J. Richard Newton (2022) An epidemiological overview of the equine influenza epidemic in Great Britain during 2019 [Dataset]. University of Cambridge. <a href="https://doi.org/10.5281/zenodo.5886153">https://doi.org/10.5281/zenodo.7010228</a></p> <p>&nbsp;</p>

opencc-by-4.0Jan 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Sweden

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Portugal

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Lithuania

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - United Kingdom (Northern Ireland)

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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> <p>Disclaimer: In accordance with the Agreement on the Withdrawal of the United Kingdom from the EU, and in particular with the Protocol on IE/NI, the EU requirements on data sampling are also applicable to Northern Ireland.</p>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Italy

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Croatia

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Romania

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Finland

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Spain

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Estonia

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Denmark

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Greece

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Luxembourg

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Germany

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Belgium

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Ireland

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →
zenodo44/100

AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - France

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2021, 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>

opencc-by-4.0Sep 2022View details →

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

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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