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349 results for “european union”
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Belgium
<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>
Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2019 - monthly maps
<p>Here you can find monthly maps referred in publication 'Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union in 2019' 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 2019 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' AI passive surveillance programmes. Wild bird samples reported at NUTS2 level are not shown on these maps.</p>
Food and waterborne outbreaks data complementing the European Union One Health 2020 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. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: PubliFBO2020_20211109: >></p>
Sample based prevalence data complementing the European Union One Health 2020 Zoonoses Report - Croatia
<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>
Animal population data complementing the European Union One Health 2020 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Animal_p20_20211109: >></p>
Supplementary material 1 from: Trégarot E, Failler P (2021) Adequacy of ecosystem services assessment tools and approaches to current policy needs and gaps in the European Union Overseas entities. One Ecosystem 6: e74170. https://doi.org/10.3897/oneeco.6.e74170
Selection of MAES tools and approaches to facilitate the uptake of Ecosystem Services in EU Overseas entities
Investigating the Country of Origin and the Role of the .eu TLD in External Trade of European Union Member States
<p>This dataset includes structured information on various parameters of construction, development and hosting of almost 30.000 existing .eu websites which were collected through means of Web data extraction. This information was analyzed and processed by a detailed algorithm that produced results concerning each website’s most probable country of origin based on a multitude of factors. The dataset is part of the core methodology and discussion sections of the research paper entitled "Investigating the Country of Origin and the Role of the .eu TLD in External Trade of European Union Member States".</p>
AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Malta
<p>This dataset contains 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>
AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Czechia
<p>This dataset contains 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>
AI results complementing the 2021 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Austria
<p>This dataset contains 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>
AI results complementing the 2021 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 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>
Annual report on surveillance for avian influenza in poultry and wild birds in Member States of the European Union in 2021 – high-quality maps
<p>Here you can find the high-quality maps published in the ‘Annual report on surveillance for avian influenza in poultry and wild birds in Member States of the European Union in 2021' by EFSA.</p>
FIGURE 2. a–b in Joppeicus paradoxus (Hemiptera: Heteroptera: Joppeicidae): a new alien species in the European Union?
FIGURE 2. a–b, Distribution of Joppeicus paradoxus Puton, 1881 (red circles—published records, see Table 1; yellow circles—new records). c–e, Deiqub cave and its surroundings, Socotra Island. Photos: c—J. Niedobová, d–e—J. Hájek.
FIGURE 1 in Joppeicus paradoxus (Hemiptera: Heteroptera: Joppeicidae): a new alien species in the European Union?
FIGURE 1. Habitus of Joppeicus paradoxus Puton, 1881. a–b—specimen from Canary Islands: Morro Jable (a—dorsal view, b—lateral view; body length 2.47 mm); c—specimen from Socotra: Deiqub cave (dorsal view; body length 2.52 mm); d—one of the syntype females. Photos: a–c—P. Kment, d—L. Fauvre.
Supplementary material 4 from: Romiti F, Redolfi De Zan L, Rossi de Gasperis S, Tini M, Scaccini D, Anaclerio M, Carpaneto G (2017) Latitudinal cline in weapon allometry and phenology of the European stag beetle. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 57-80. https://doi.org/10.3897/natureconservation.19.12681
Allometric relationship between mandible (LnML) and elytron (LnEL) length of each population : Data type: statistical data
Supplementary material 3 from: Romiti F, Redolfi De Zan L, Rossi de Gasperis S, Tini M, Scaccini D, Anaclerio M, Carpaneto G (2017) Latitudinal cline in weapon allometry and phenology of the European stag beetle. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 57-80. https://doi.org/10.3897/natureconservation.19.12681
Allometric relationship between mandible (LnML) and elytron (LnEL) length for minor and major morph : Data type: statistical data
Supplementary material 1 from: Romiti F, Redolfi De Zan L, Rossi de Gasperis S, Tini M, Scaccini D, Anaclerio M, Carpaneto G (2017) Latitudinal cline in weapon allometry and phenology of the European stag beetle. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 57-80. https://doi.org/10.3897/natureconservation.19.12681
Shapiro-Wilk normality test on biometric, phenological and climatic variable : Data type: statistical data
Supplementary material 1 from: Zapponi L, Mazza G, Farina A, Fedrigoli L, Mazzocchi F, Roversi PF, Sabbatini Peverieri G, Mason F (2017) The role of monumental trees for the preservation of saproxylic biodiversity: re-thinking their management in cultural landscapes. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 231-243. https://doi.org/10.3897/natureconservation.19.12464
List of recorded species : Explanation note: The supplementary material contains the list of species recorded during the 1982 and 2017 inventories, showing for each species: number of individuals, average circunference and average height.
Supplementary material 1 from: Kadej M, Zając K, Smolis A, Tarnawski D, Tyszecka K, Malkiewicz A, Pietraszko M, Warchałowski M, Gil R (2017) The great capricorn beetle Cerambyx cerdo L. in south-western Poland – the current state and perspectives of conservation in one of the recent distribution centres in Central Europe. In: Campanaro A, Hardersen S, Sabbatini Peverieri G, Carpaneto GM (Eds) Monitoring of saproxylic beetles and other insects protected in the European Union. Nature Conservation 19: 111-134. https://doi.org/10.3897/natureconservation.19.11838
Table S1. Correlation matrix of all initial environmental layers selected for modelling in MaxEnt : Data type: statistical data
Replication package for: Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System
<p>This package contains three folders: the Code folder, Results (or output) folder and the data folder. It also contains a document README.pdf . </p> <p>Part of the codes can be run with the data provided in the data folder, and have _outofbox in their name. Others can only run with confidential data - all details are provided in the README.pdf file.</p> <p>These are for the paper:</p> <p>Colmer, J., R. Martin, M. Muûls, and U.J. Wagner. Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System</p>
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
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.