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2,025 results for “AIS”
AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Germany
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Slovenia
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Lithuania
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Latvia
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Bulgaria
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union- The Netherlands
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Ireland
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 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 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - The United Kingdom
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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: Data collected by the UK at national level prior to 31/01/2020 has been used in EFSA data reports as is related to a period in which this country was still a European Union Member State.</p>
AI results complementing the 2020 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 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Hungary
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - France
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2020, 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 2020 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 2020, 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>
Think-aloud tests with information specialists of ai-systems Iris.ai and Yewno (Danish)
<p>This dataset contains the nine think-aloud tests conducted in April-June 2021. </p> <p>Think-aloud tests were designed to test the extent an academic search could be conducted in the two AI-powered search systems, Iris.ai (https://Iris.ai/) and Yewno Discover (https://www.yewno.com/discover). Pilot tests and validation tests were undertaken with two independent reviewers in March 2021. The validity tests were based on the principles outlined in Kim 2009, testing the content, face and construct validity of the test instrument (appendix 1). Consequently, the grammar and consistency of the language were improved and questions were reframed before the final think aloud tests were conducted in April-June 2021.</p> <p> </p> <p>Ten information specialists were invited to take part in the tests. One test person from the Yewno tests dropped out of the study, resulting in an overall drop-out rate of 10%. Accordingly, five think-aloud tests in Iris.ai and four in Yewno were held at the university libraries in Aarhus and Copenhagen.</p> <p>Two testers ran each test. One conducted the dialogue and guided the test person through the tasks set in the think-aloud test. The second, noted down the test persons behavior, humour and comments. All tests were recorded using Zoom, both audio, and screen were recorded as well as the test persons behaviour was observed. The recordings were saved to Edumedia for the duration of the project and destroyed thereafter. </p>
SQA for AI. Interviews coding
<p>This dataset includes interviews with practitioners on the topic "SQA for AI Systems" with a coding procedure. </p>
Survey of patient advocacy groups regarding the use of AI in cancer screening
<p>This file contains the results of a survey of members of patient advocacy groups affiliated with Washington University in St Louis, Stanford University and Johns Hopkins University. The survey asks about attitudes regarding different ways in which AI could be involved in the process of cancer screening. IRB approval was obtained from Washington University in St Louis.</p>
Interpretable Geotechnical Artificial Intelligence (XGeoT-AI) Application to Demystify Image Recognition of Soil Cracks [Datasets]
<p>Here is the test data for the paper "Interpretable Geoscience Artificial Intelligence (XGeoS-AI): Application to Demystify Image Recognition".</p>
AI-SPRINT GPU STochastic Scheduler
<p>This repository includes the source code and the datasets used to evaluate the GPU STochastic Scheduler developed in the context of the AI-SPRINT project. The corresponding results are included in the AI-SPRINT project deliverable "D3.3 - Second release and evaluation of the runtime environment".</p>
AI-SPRINT SPACE4AI-R Local Search
<p>This repository includes the source code and the evaluation data and results for the Local Search algorithm implemented for the SPACE4AI-R Optimizer framework. An extended discussion is reported in the AI-SPRINT project deliverable "D3.3 - Second release and evaluation of the runtime environment".</p>
CottonWeedDet12: a 12-class weed dataset of cotton production systems for benchmarking AI models for weed detection
<p>The dataset <strong>CottonWeedDet12</strong> consists of 5648 RGB images of 12-class weeds that are common in cotton fields in the southern U.S. states, with a total of 9370 bounding boxes. These images were acquired by either smartphones or hand-held digital cameras, under natural field light condition and throughout June to September of 2021. The images were manually labeled by qualified personnel for weed identification, and the labeling process was done using the VGG Image Annotator (version 2.10).</p> <p>The dataset, at the time of publication, is the largest publicly available multi-class dataset dedicated to weed detection. It expects to facilitate communicate efforts to exploit state-of-the-art deep learning method to push weed recognition to the next level. With the WeedDet12 dataset, a performance benchmark of a suite of YOLO object detectors has been built for weed detection. Detailed documentation of the dataset, model benchmarking and performance results is given in an accompanying journal paper: <a href="https://www.sciencedirect.com/science/article/pii/S0168169923000431">Dang, F., Chen, D., Lu, Y., Li, Z., 2023. YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems. Computers and Electronics in Agriculture 205, 107655. https://doi.org/10.1016/j.compag.2023.107655</a><a href="https://doi.org/10.1016/j.compag.2023.107655"> </a></p> <p>If you use the dataset on a published publication, please cite the dataset or the <a href="https://doi.org/10.1016/j.compag.2023.107655">journal article</a> above.</p>
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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.