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ShareScore release 0.7.1
Dataset results
52 results for “animal health”
Agriculture - General: Animal Production and Health, Natural Resources and Environment 2
<p>1996-1999, entomofauna inventory in cities and countrysides on 20 different habitats in The Netherlands using pitfalls and sweeping nets Jagers op Akkerhuis G, Dimmers W (2016). Alterra (NL) - Comparison entomofauna in cities en countrysides. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/guxqfv">https://doi.org/10.15468/guxqfv</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 6
<p>This dataset contains the digitized treatments in Plazi based on the original journal article Viana, Jéssica Herzog, Ribeiro-Costa, Cibele Stramare (2013): Review of the largest species group of the New World seed beetle genus Sennius Bridwell (Coleoptera: Chrysomelidae), with host plant associations. Zootaxa 3736 (5): 501-535, DOI: <a href="http://dx.doi.org/10.11646/">http://dx.doi.org/10.11646/</a></p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 3
<p>1996-1999, entomofauna inventory in cities and countrysides on 20 different habitats in The Netherlands using pitfalls and sweeping nets Jagers op Akkerhuis G, Dimmers W (2016). Alterra (NL) - Comparison entomofauna in cities en countrysides. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/guxqfv">https://doi.org/10.15468/guxqfv</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 7
<p>This dataset contains the digitized treatments in Plazi based on the original journal article Johnson, Robert A., Cover, Stefan P. (2015): A taxonomic revision of the seed-harvester ant genus Pogonomyrmex (Hymenoptera: Formicidae) on Hispaniola. Zootaxa 3972 (2): 231-249, DOI: <a href="http://dx.doi.org/10.11646/">http://dx.doi.org/10.11646/</a></p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment
<p>1996 till 2000, entomofauna inventory on clay digged off riversides and on reference site in The Netherlands using pyramidtraps Faber J, Dimmers W (2016). Alterra (NL) - Entomofauna inventory in riverside grasslands. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/hlhr1r">https://doi.org/10.15468/hlhr1r</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 7
<p>Spring 2010 and Summer 2011, microarthropod fauna inventory for foodweb analysis in five European countries using soil cores and tullgren extraction</p> <p>Bloem J, Dimmers W (2016). Alterra (NL) - Microarthropods inventory in European countries. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/zkqto2">https://doi.org/10.15468/zkqto2</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 5
<p>This dataset contains the digitized treatments in Plazi based on the original journal article Michelsen, Verner (2012): Revision of the European Delia pruinosa species group (Diptera: Anthomyiidae) feeding as larvae in seed capsules of Silene L. (Caryophyllaceae). Zootaxa 3434: 31-48, DOI: 10.5281/zenodo.282060</p>
Agriculture - General: Animal Production and Health 4
<p>This dataset contains the digitized treatments in Plazi based on the original journal article Yus-Ramos, Rafael, Ventura, Daniel, Bensusan, Keith, Coello-García, Pedro, György, Zoltán, Stojanova, Anelia (2014): Alien seed beetles (Coleoptera: Chrysomelidae: Bruchinae) in Europe. Zootaxa 3826 (3): 401-448, DOI: <a href="http://dx.doi.org/10.11646/">http://dx.doi.org/10.11646/</a>...</p> <p>Stojanova A (2013). Alien seed beetles (Coleoptera: Chrysomelidae: Bruchinae) in Europe. Plazi.org taxonomic treatments database. Checklist dataset <a href="https://doi.org/10.11646/zoot">https://doi.org/10.11646/zoot</a>... accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 8
<p>1992, invertebrate fauna inventory on peat swamps in The Netherlands using pyramidtraps Siepel H, Dimmers W (2016). Alterra (NL) - Entomofauna inventory in peat swamps. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/ibom6z">https://doi.org/10.15468/ibom6z</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 5
<p>2001 till 2002 and 2004, inventory of entomofauna in forestwalls banks, diches, road verges in The Netherlands using pitfalls and sweeping net</p> <p>Jagers op Akkerhuis G, Dimmers W (2016). Alterra (NL) - Comparison of entomofauna in four different habitats. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/mkoqqh">https://doi.org/10.15468/mkoqqh</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 6
<p>2007, 2011 and 2012, microarthropod fauna inventory in a nature restauration experiment (re-introduction) on a calcareous grassland and three reverence sites in the province of Limburg using pF-cores</p> <p>Smits N, Dimmers W (2016). Alterra (NL) - Microarthropods inventory in calcareous grasslands. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/28jocn">https://doi.org/10.15468/28jocn</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 4
<p>1993 till 2001, entomofauna inventory in cattle grazed versus non-grazed dune grassland using pitfalls</p> <p>van Wingerden W, Dimmers W (2016). Alterra (NL) - Entomofauna inventory in cattle grazed dune grassland. Version 2.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/zp5oif">https://doi.org/10.15468/zp5oif</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health, Natural Resources and Environment 8
<p>2000-2003, microarthropod fauna inventory of arable land and grassland on sandy soil using pF-cores. Points of interest are biodiversity, nutrients and disease suppression</p> <p>Faber J, Dimmers W (2016). Alterra (NL) - Microarthropods inventory in grassland and arable land. Version 1.1. Alterra, Wageningen UR. Occurrence dataset <a href="https://doi.org/10.15468/fwvi7m">https://doi.org/10.15468/fwvi7m</a> accessed via GBIF.org</p>
Disease and lesion maps - part of the Scientific opinion on the evaluation of public and animal health risks in case of a delayed post-mortem inspection in ungulates
<p>EFSA was requested to assess the impact on effectiveness of <em>post-mortem</em> inspection in terms of any change in the sensitivity of detection of animal diseases of domestic and wild ungulates listed according to Article 5 of Regulation (EC) No 2016/429 and septicaemia, pyaemia, toxaemia or viraemia, when carried out after up to 24 hours or up to 72 hours after slaughter in comparison to when it is carried out immediately after slaughter. In order to identify the main lesions associated with the target diseases, a so called “disease map” was built, with the information about the clinical forms of the diseases (acute, subacute, chronic, or latent forms) and clinical signs, as well as potential lesions that could be observed on the respective diseased animals.</p> <p>The following information is indicated for each disease/condition in the disease map:</p> <ol> <li>The susceptible animal species</li> <li>Whether there is any surveillance programme in place in the EU</li> <li>The signs associated with the disease that could be detected at <em>ante mortem </em>inspection;</li> <li>The lesions associated with the disease that could be detected at <em>post mortem</em> inspection</li> <li>The probability of detecting the disease during the PMI as normally carried out.</li> <li>Whether carcass swabbing and/or laboratory tests are normally carried out.</li> </ol> <p>From the disease map, the list of organs to be considered at <em>post mortem</em> inspection and the lesions, a “lesion map” was built by connecting animal species with organs, lesions and corresponding disease. This was done to facilitate the construction of a questionnaire where, for each organ and the five types of lesions, the respondents (meat inspectors) had to provide a numerical answer about how many carcasses out of 100 with the given lesion, will be still detected after 24- or 72-h of refrigerated storage.</p>
EFSA Opinion Update of risks for animal health related to the presence of ochratoxin A (OTA) in feed: Annexes on Occurrence data in feed submitted to EFSA
<p>Annexes to EFSA's Update Opinion on the risks for animal health related to the presence of OTA in feed. Annex B includes the occurrence data in feed extracted from EFSA Data Warehouse for the period from 2012 to 2021. Annex C contains the occurrence data expressed in dry matter following analysis and cleansing of the dataset as detailed in EFSA's Opinion. Annex D lists the samples of 'Compound feed' and other feed materials except forage expressed in whole weight. The number of samples across some of the feed categories differ among the two annex C and D because in few cases the moisture content was not reported (and no assumption on the moisture could be done), precluding the conversion of the analytical results to either whole weight or dry matter. </p>
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' 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: >></p>
Dataset: Phibro Animal Health Corporation (PAHC) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Agriculture - General: Animal Production and Health
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Ecosystem services like pollination are affected by a variety of factors in agricultural used landscapes. This study was conducted to investigate the effects of land use intensity, local management and landscape structure on pollination services of bees.</p> <p>Bellach M (2016). Bee species data, InsectScale 2008. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/tzwu17">https://doi.org/10.15468/tzwu17</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 3
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Thistles belong to a prominent plant group in agricultural used grasslands. Many invertebrates feed on thistles or depend on thistle herbivores. Müller J (2016). Thistles and numbers of observed invertebrates, fungi and damage types. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/keltlv">https://doi.org/10.15468/keltlv</a> accessed via GBIF.org</p>
Agriculture - General: Animal Production and Health 2
<p>Original data comes from a project which takes or took place as part of the DFG priority program “Exploratories for large-scale and long-term functional biodiversity research”. The data is stored together with descriptive metadata, in combination called a dataset, in the project repository (<a href="https://www.bexis.uni-jena.de">https://www.bexis.uni-jena.de</a>). Species information was extracted from that original dataset. The second paragraph is part of the metadata of the original dataset.Trapping small mammals with live traps in all three Exploratories and all EPs, but not grasland plots with cattle. Heinze E (2016). Small mammal species list 08. Biodiversity Exploratories. Occurrence dataset <a href="https://doi.org/10.15468/pioxzy">https://doi.org/10.15468/pioxzy</a> accessed via GBIF.org</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
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Annotated Behaviour and Observability Dataset (ABODe)
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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.