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Dataset results
122 results for “tracker”
Pretrained models for multiobject tracker for mice
<p>Noninvasive tracking of all individuals in unmarked mouse group using multicamera fusion and deep learning</p>
Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 4 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Species list change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947778</p>
Appendix 5 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Pathways change tracker
<p>For more details see: http://iasreport.sanbi.org.za</p> <p>SANBI and CIB 2020. Appendix 5 to "The Status of Biological Invasions and their Management in South Africa in 2019"—Pathways change tracker. South African National Biodiversity Institute, Kirstenbosch and DSI-NRF Centre of Excellence for Invasion Biology, Stellenbosch. http://dx.doi.org/10.5281/zenodo.3947799</p>
Determinação da Carga Específica do eletron: Experimento Remoto com o Tracker
<p>Apresentamos nesta vídeo-aula uma proposta para a realização do experimento de determinação da carga específica do elétron realizado a partir da análise de vídeo com o Tracker. Estes vídeos foram produzidos em experimento real, nos laboratórios da PUCSP em, 2013, quando ministrava a disciplina de Estrutura da Matéria - Laboratório. Este experimento realizado com esta metodologia permitiu uma melhora significativa para os resultados obtidos tanto em exatidão quanto em precisão</p> <p>Para acessar artigo piblicado nos anais do XXI SNEF em 2015</p> <pre><a href="https://doi.org/10.5281/zenodo.4599775">https://doi.org/10.5281/zenodo.4599775</a> </pre>
Sample export from Feodo Tracker 5 Oct 2023
<p>Export of a blocklist of botnet C&C servers from 5 Oct 2023</p>
tracker_libros_oposiciones
<p>Dataset procesado para el Master en Data Science por la Universitat Oberta de Catalunya. Contiene output del scraping realizado para la Práctica 1 de la asignatura "Tipología y Ciclo de Vida de los datos"</p>
3DDD Social Mouse Tracker Dataset
<p>Dataset associated with: </p> <p><a href="https://doi.org/10.1101/2020.05.21.109629">Ebbesen CL & Froemke RC (2021) Automatic mapping of multiplexed social receptive fields by deep learning and GPU-accelerated 3D videography. bioRxiv, doi: 10.1101/2020.05.21.109629.</a></p> <p> </p> <p>Associated code and analysis scripts are available on Github:</p> <p><a href="https://github.com/chrelli/3DDD_social_mouse_tracker">https://github.com/chrelli/3DDD_social_mouse_tracker</a></p> <p> </p> <p> </p>
Quantitative comparison of a mobile and a stationary video-based eye-tracker
<p>Vision represents the most important sense of primates. To understand visual processing, various different methods are employed, e.g. electrophysiology, psychophysics or eye tracking. For the latter, researchers recently began to step outside the artificial environments of laboratory setups towards the more natural conditions we usually face in the real world. This approach was enabled by sophisticated video-based mobile eye-trackers. Yet, their mobility and light weight often comes at an expense of reduced performance and accuracy, compared to the stationary eye-trackers, which nowadays are considered a gold standard in vision science.</p> <p>In order to get a better understanding of the advantages and limitations of both eye-tracking techniques, we quantitatively compared one of the most advanced mobile eye-trackers available, the EyeSeeCam (ESC, sampling at 230 Hz), with a commonly used laboratory eye-tracker, the EyeLink II (ELII, sampling at 500 Hz). We aimed to investigate whether or not fully mobile eye-trackers are capable of providing adequate data to allow for a direct comparison with data recorded with stationary eye-trackers. Therefore, we recorded three different, commonly used eye movements, i.e. fixation, saccades and smooth pursuit eye movements, with both eye trackers in successive standardized paradigms in a laboratory setting with eight human subjects.</p> <p>Despite major technical differences, the values of most eye movement parameters were not statistically different between both systems. Differences could only be found in overall gaze accuracy and for time critical parameters like saccade duration, for which a higher sample frequency is especially useful. Although, the stationary ELII system proved to be superior, especially at a single subject or even at a single trial basis, the ESC showed a similar performance for averaged parameters across trials and subjects. We conclude that modern high-performance mobile eye-trackers are well suited to provide reliable oculomotor data at the required spatial and temporal resolution.</p> <p>Here we provide the raw data recorded with both eye trackers in eights human subjects in the three different, commonly used, oculomotor tasks.</p>
AURORA Energy Tracker App
<p>The Excel document contains the algorithm of the AURORA Energy Tracker app. <span>Each of the sheets of the document corresponds to each of the 27 EU member states. This document serves as a calculator of CO2 emissions and energy consumption by entering the data in the corresponding cells. </span>The last version corresponds to April 2024.</p>
PHI-base 5 web display issue tracker Nov 2021 to Sept 2024 with closed issues
<p>Closed GitHub issues are listed for the PHI-base 5 web display for the period 08/11/2021 to 17/09/2024.</p>
Dataset for a Fully Featured Thermal Energy Harvesting Tracker for Wildlife
<p>This dataset holds all measurements recorded by a custom-built thermal harvesting tracking collar - including GPS-position, four temperature readings, acceleration, timestamps.</p> <p>Three collars, two of them supplied solely by thermal energy harvesting, were attached to cashmere-goats from 26 May to 12 July 2020.</p>
Radio-Source Tracker: Autonomous Attitude Determination on a Radio Interferometric Swarm: supplementary dataset
<p>This repository contains the data files used to generate the figures presented in the following article:<br> Rouillé, E. et al. (2023) "Radio-Source Tracker: Autonomous Attitude Determination on a Radio Interferometric Swarm", submitted to Radio Science.<br> (Pre-print Arxiv, TBD)</p> <p>The data are the output of various runs of the simulation pipeline.<br> Simulations were run for various interferometer configurations, frequencies, noise levels and random draws.<br> This pipeline and its related package can be found online at the following address:<br> https://gitlab.obspm.fr/erouille/noire_simulation/</p>
Smart City Tracker: A living archive of smart city prevalence
<p>An interactive platform where users can track and explore local governments' smart city implementation in the United States.</p>
Tracking marine tetrapod carcasses using a low-cost mixed methodology with GPS trackers, passive drifters, and citizen science
<div> <ol> <li> <span><span>Drift experiments are essential to understand stranding patterns and to estimate the mortality of beached animals.</span><span> Most studies do not use telemetry technology due to the high costs of this methodology. </span></span><span><span>The objective of this paper is to describe the possibilities of tracking marine tetrapod carcasses with a low-cost and replicable methodology.</span> <span>The study was conducted </span></span><span><span>in the Southern Subtropical Shelf (~ 28º–34º S), </span><span>a highly productive and key ecological </span><span>region of the southwestern Atlantic Ocean (SWA).</span></span><span> </span> </li> <li> <p><span><span>W</span></span><span><span>e designed and tested a low-cost mixed methodology including </span><span>Global Positioning System </span><span>trackers, passive drifters (reused glass bottles), and Citizen Science (through instant message platform and email) for tracking carcasses of marine </span><span>tetrapods</span><span>. We performed four drift experiments, </span><span>during the</span><span> four seasons </span><span>of</span><span> 2019</span><span>.</span> </span><span><span>We released 787 drifters (600 non-biological and 187 carcasses</span><span> of seabirds, </span><span>sea turtles</span><span>, and cetaceans</span><span>)</span></span><span><span> at sea, at five</span><span> equally</span> <span>separated </span><span>distances (5</span><span>–</span><span>25 km) from the coast.</span> <span>Beach surveys and Citizen Science were implemented to </span><span>recover </span><span>the beached drifters.</span></span></p> </li> <li> <p><span><span>We</span><span> re</span><span>covered </span><span>71.83% of non-biological </span><span>and 27.27% of carcasses </span><span>released</span><span>. We tracked the movements of 38 carcasses </span><span>(25 sea turtles and 13 </span><span>cetaceans</span><span>) with 17 GPS devices. The drift</span><span>ing</span><span> time</span><span>,</span><span> until reaching the beach</span><span>,</span><span> ranged from 12h to 17 days</span><span> for carcasses and 12h to 406 days for bottles</span><span>. </span></span><span><span>Citizen Science was the most important source of rec</span><span>overies </span><span>of non-biological drifters, representing 66.67% of the total bottles rec</span><span>ove</span><span>r</span><span>ed</span><span>.</span> <span>For carcasses, active search was the most important recovery source, representing 64.7% of the total carcasses</span><span> recovered</span><span>.</span></span></p> </li> <li> <p><span>Our study contributes with new findings about drift patterns of marine tetrapods in the SWA and describes an accessible low-cost mixed methodology for small and medium-budget projects that can be </span><span>replicated in other coastal regions of the world for tracking a wide range of marine tetrapod species.</span></p> </li> </ol> </div>
Activity Trackers for Improving BP
ClinicalTrials.gov study NCT03325426. IPD Sharing: NO. Countries: 1. Publications: 16.
COVID-19 Symptom Tracker
ClinicalTrials.gov study NCT04331509. IPD Sharing: YES. Countries: 2. Publications: 2.
Anti-Obesity Phentermine-Topiramate Extended Release Pharmacotherapy vs Placebo Among Patients Using a Wearable Activity Tracker
ClinicalTrials.gov study NCT04408586. IPD Sharing: NO. Countries: 1. Publications: 1.
The Sweet Dreams Study - Accuracy of Sleep Trackers in Children
ClinicalTrials.gov study NCT06787378. IPD Sharing: YES. Countries: 1. Publications: 4.
OPAM-IA: Using Digital Activity Trackers to Improve Physical Activity in Inflammatory Arthritis
ClinicalTrials.gov study NCT02554474. IPD Sharing: NO. Countries: 1. Publications: 4.
MONITOR-OA: Using Wearable Activity Trackers to Improve Physical Activity in Knee Osteoarthritis
ClinicalTrials.gov study NCT02315664. IPD Sharing: NO. Countries: 1. Publications: 2.
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.