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559 results for “Track data”
Data from: Repertoire-based individual acoustic monitoring of a migratory passerine bird with complex song as an efficient tool for tracking territorial dynamics and annual return rates
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Data from: Tracking climate change in a dispersal-limited species: reduced spatial and genetic connectivity in a montane salamander
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Data from: Synergistic use of UAV surveys, satellite tracking data and mark-recapture to estimate abundance of elusive species
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Data from: Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
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Data from: Geometric morphometric analysis applied to theropod tracks from the lower Cretaceous (Berriasian) of Spain
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Data from: Resource tracking and its conservation implications for an obligate frugivore (Procnias tricarunculatus, the three-wattled bellbird)
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Data from: High detectability with low impact: optimising large PIT tracking systems for cave-dwelling bats
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Data from: Evolutionary tracking is determined by differential selection on demographic rates and density dependence.
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Data from: Conspecific semiochemical tracks on host plants modulate reproduction and defense in <em>Parthenium</em> beetles
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Example single molecule tracking data from: A high-throughput platform for single-molecule tracking identifies drug interaction and cellular mechanisms
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Data from: Consumer trait responses track change in resource supply along replicated thermal gradients
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Bibliographic data from the GBIF literature tracking service
<p>This dataset is the result of a call to the GBIF resource API to gather bibliographic items citing GBIF or GBIF mobilised datasets, monitored through the GBIF literature tracking service.</p> <p>The zip contains a single JSON format datafile, which contains 9018 records.</p> <p>The URL used is: https://www.gbif.org/api/resource/search?contentType=literature&limit=10000</p> <p>It was accessed on: 2020-03-03.</p>
Filtered Data from the Retrospective Analysis of Antarctic Tracking Data Project from the Scientific Committee on Antarctic Research
<p>The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s.<br> <br> This metadata record pertains to the "filtered" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository.<br> <br> This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is:<br> - an RDS file that contains the fitted TMB filter model object and model predictions (this file is RDS format that can be read by the R statistical software package)<br> - a PDF file that shows the quality control results for each individual model<br> - a CSV file containing the interpolated position estimates<br> <br> For details of the file contents and formats, consult the data paper.</p> <p>The original copy of these data are available through the Australian Antarctic Data Centre (https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Filtered)</p> <p><br> The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering.</p>
Data used for manuscript "High-integrity human intervention in ecosystems: Tracking self-organization modes"
<p>Data used for manuscript "High-integrity human intervention in ecosystems: Tracking self-organization modes".</p> <p>This includes large aerial images taken from the northern Negev in Israel, extracted areas within them, and metadata on these areas.</p>
Data for manuscript "Estimate of airborne transmission of SARS-CoV-2 using real time tracking of healthcare workers."
<p>These are the data sets for a manuscript to calculate the transmissability of SARS CoV-2 via the airborne route. These data have the duration of exposure of healthcare workers to SARS CoV-2 and the code used to analyze to estimate q, and the comparison to other pathogens.</p>
Figure 1 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570
Figure 1 INBO researcher Anny Anselin holding Peter (animal ID L143457), one of the tagged Western marsh harriers in the MH_WATERLAND dataset (tag ID 623).
Figure 2 from: Milotic T, Desmet P, Anselin A, De Bruyn L, De Regge N, Janssens K, Klaassen R, Koks B, Schaub T, Schlaich A, Spanoghe G, T'jollyn F, Vanoverbeke J, Bouten W (2020) GPS tracking data of Western marsh harriers breeding in Belgium and the Netherlands. ZooKeys 947: 143-155. https://doi.org/10.3897/zookeys.947.52570
Figure 2 Left: Map giving an overview of the extent of the three datasets including the winter migration tracks; top right: summering data in H_GRONINGEN; middle right: summering data of MH_WATERLAND; and bottom right: summering data in MH_ANTWERPEN.
Data for article "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution"
<p>Data presented in the publication "Tracking Charge Transfer to Residual Metal Clusters in Conjugated Polymers for Photocatalytic Hydrogen Evolution", published in the Journal of the American Chemical Society. The published article is available at <a href="https://doi.org/10.1021/jacs.0c06104">https://doi.org/10.1021/jacs.0c06104</a></p>
Data from: Optimising sample sizes for animal distribution analysis using tracking data
<p><span>1. Knowledge of the spatial distribution of populations is fundamental to management plans for any species. When tracking data are used to describe distributions, it is sometimes assumed that the reported locations of individuals delineate the spatial extent of areas used by the target population.</span></p> <p><span>2. Here, we examine existing approaches to validate this assumption, highlight caveats, and propose a new method for a more informative assessment of the number of tracked animals (i.e. sample size) necessary to identify distribution patterns. We show how this assessment can be achieved by considering the heterogeneous use of habitats by a target species using the probabilistic property of a utilisation distribution. Our methods are compiled in the R package <i>SDLfilter</i>.</span></p> <p><span>3. We illustrate and compare the protocols underlying existing and new methods using conceptual models and demonstrate an application of our approach using a large satellite tracking data-set of flatback turtles, <i>Natator depressus, </i>tagged with accurate Fastloc-GPS tags (n = 69).</span></p> <p><span>4. Our approach has applicability for the post-hoc validation of sample sizes required for the robust estimation of distribution patterns across a wide range of taxa, populations and life history stages of animals.</span></p>
Annotated Eye-Tracking Data for Attention and Inattention in ASD
<p>This data included a total of 20 children with mild to moderate ASD (ASD n = 20, mean age = 8.57, SD = 1.40), 16 boys and 4 girls within the age of 7–11 years. The participants were recruited from an Autism School in Doha and Qatar Autism Society. All the participants had a formal diagnosis of mild to moderate ASD and met the requirements for the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders (DSM IV). All participants reported normal vision. </p> <p>Eye-tracking data were recorded using a screen-based Tobii X<sub>2</sub>-60 eye-tracking device with a sampling rate of 60 Hz. The Eye-tracking device was attached to the base of the 24-inch computer screen set aside for each participant. The visual attention task was simulated with a desktop virtual reality application that presents a continuous performance test (VR-CPT). This test simulates a conventional learning environment with a teacher in front of a classroom, other students seated, ceiling lights, windows, and a door. The VR-CPT presents distractors similar to that of a real classroom simultaneously with random alphabets displayed on the board. The random letters are used as the target stimuli in this experiment where the participant needs to press the clicker when the letter X appears and ignores other letters. </p>
ScienceDex guides
Understand access before you commit
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.