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ShareScore release 0.9.0
Dataset results
27 results for “tool tracking”
Dataset for the paper: TaskTracker tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks (SIGCSE Technical Symposium 2021))
<pre>It is a dataset for the <em>TaskTracker-tool: a Toolkit for Tracking of Code Snapshots and Activity Data During Solution of Programming Tasks</em> paper from <a href="https://sigcse2021.sigcse.org/">SIGCSE Technical Symposium 2021</a>. The dataset consists of code snapshots, IDE actions, and demographic information gathered by <a href="https://github.com/JetBrains-Research/codetracker">this</a> tool. We had 148 participants, aged 11 to 40 (mean age is 19 years), take part in the data gathering process. </pre> <pre>During data gathering, solutions were accepted in one of four languages: Python, Java, Kotlin, or C++. However, some of the students chose not to submit tasks or solved some tasks incorrectly. At the same time, some students solved some tasks many times in multiple languages. All submitted solutions are included in the final dataset.</pre> <pre>To get more information see the <em>README</em> file.</pre>
ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy
<p>Data for submission to Wellcome Open Research entitled "ultraLM and miniLM: Locator tools for smart tracking of fluorescent cells in correlative light and electron microscopy".</p> <p>Data_ultraLM.tif is an image stack from the fluorescence microscope mounted on the ultramicrotome.</p> <p>Data_miniLM.tif is an image stack from the fluorescence microscope mounted in the SBF-SEM.</p> <p>Data_miniLM_EM.tif is an image stack from the SBF-SEM while the miniLM was in-situ.</p>
Dataset for illustrative examples using the Lagrangian Atmospheric moisTure and heaT trackINg (LATTIN) tool
<p>This dataset provides the FLEXPART outputs for the illustrative examples of LATTIN usage. See the LATTIN GitHub repository (https://github.com/apalarcon/LATTIN) for details.</p><p>It was generated using FLEXPART model v9 fed by ERA-Interim reanalysis at the Environmental Physics Laboratory (EPhysLab) at the University of Vigo. See the list of publications of the EPhysLab research group for details on these simulations (https://ephyslab.uvigo.es/moisturetransport/index.php/Publications). </p>
Nanoparticle Tracking Analysis: A powerful tool for characterizing magnetosome preparations - Supplementary
<p>Nanoparticle Tracking Analysis: A powerful tool for characterizing magnetosome preparations - Supplementary materials</p>
Dataset for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes"
<p>This is the dataset used for the analysis in Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes, by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. </p> <p> </p> <p>Copyright &copy; 2017 John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus.</p> <p><br> Dataset for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes" by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus is licensed under a Creative Commons Attribution 4.0 International License.</p>
STrack: A tool to Simply Track bacterial cells in microscopy time-lapse images
<p>The datasets consist of time-lapse images underlying the research article "STrack: A tool to Simply Track bacterial cells in microscopy time-lapse images". Please visit the STrack github page for instructions on how to install and use STrack to track cells in images containing segmented cell masks: https://github.com/Helena-todd/STrack</p> <p>The data was generated at the Department of Fundamental Microbiology, University of Lausanne, 1015 Lausanne, Switzerland, by Tania Miguel Trabajo. The datasets are organised in four folders, one per bacterial species (<em>Pseudomonas putida, Pseudomonas veronii, Rahnella and Lysobacter</em>), that each contain 5 time-lapse datasets. Each of the 20 folders is organised in two subfolders, containing:</p> <p>- the raw, phase contrast, timelapse images (taken with a Nikon ECLIPSE Ti Series inverted microscope coupled with a Hamamatsu C11440 22CU camera and a Nikon CFI Plan Apo Lambda 100X Oil objective)</p> <p>- the manually segmented masks (manually generated using the QuPath open-source software for bioimage analysis )</p> <p>Dowload and unzip to view the contents.</p>
Soundscapes and artificial intelligence provide powerful tools to track biodiversity recovery in tropical forests
<p><span>Tropical forest recovery is fundamental to addressing the intertwined climate and biodiversity loss crises.</span><span> While regenerating trees sequester carbon relatively quickly, the pace of biodiversity recovery remains contentious. </span><span>Here, we use bioacoustics and meta-barcoding to measure forest recovery post-agriculture in a global biodiversity hotspot in Ecuador</span><span>. We show that the community composition, and not species richness, of vocalizing vertebrates identified by experts reflects the restoration gradient. Two automated measures – an acoustic index model and a bird community derived from an independently developed Convolutional Neural Network – correlated well with restoration (adj-R<sup>2</sup> = 0.62 and 0.69, respectively). Importantly, both measures reflected composition of non-vocalizing nocturnal insects identified via meta-barcoding. </span><span>We show that such automated monitoring tools, </span><span>based on new technologies,</span><span> can effectively monitor the success of forest recovery, using robust and reproducible data. </span><span>Crucially, this will help ensure that forest restoration efforts result in resilient, biodiverse tropical forests and not simply 'carbon farms'.</span></p>
Examination of Psychological Tools and Tracking in an Online Intervention for Type 2 Diabetes
ClinicalTrials.gov study NCT03037528. IPD Sharing: NO. Countries: 1. Publications: 1.
Soundscapes and artificial intelligence provide powerful tools to track biodiversity recovery in tropical forests
Open the record for dataset details and reuse information.
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
In field ecological and behavioural studies, it is often necessary to identify specific individuals. In birds, colour rings are frequently used to mark individuals; however, rings are often difficult to observe, especially in small species and dense habitats. Acoustic-based monitoring detecting individuals by their characteristic vocalization is a potentially suitable alternative, but this approach is challenging in species with complex songs. On the example of the Tree Pipit (Anthus trivialis), a small migratory passerine often singing in flight or from perches obscured by foliage, we demonstrate that acoustic monitoring based on the syllable repertoire can be very efficient tool for individual recognition. During a 3-year study, we obtained over 500 recordings from males from one study population (a number of them returning after winter). Males banded with colour rings were repeatedly recorded throughout the seasons, and syllable repertoires were determined from spectrograms for each recording. The repertoire of each unambiguously identified male was distinct and stable within as well as between seasons; and males with similar syllable repertoires differed in syntax. Based on the congruence between identification based solely on spectrogram assessment, and that based on observation of colour rings, we inferred that reliable identification of singing males (including non-ringed ones) was possible in the studied population from assessing a repertoire and song syntax of <5-min recording (containing 20–30 songs). The acoustic-based data: (i) increased the overall estimated number of territorial males at the study locality (from 49 ringed to 61), and improved the estimates of the period of their presence; (ii) revealed dynamic within-season changes in territory occupancy that would otherwise be missed; and (iii) allowed identification of returning birds (including non-ringed ones and those actively avoiding approaching humans). Our results suggest that some commonly used methods may substantially underestimate return rates of migratory bird species. Individual acoustic monitoring should be applicable on various bird species with complex song and stable repertoires, and may be particularly useful for those living in dense habitat or sensitive to handling.
Community Tapestry: An Actionable Tool to Track Turnover and Diversity in OSS
Open the record for dataset details and reuse information.
Reliability and Validity of a New Postoperative Track Assessment Tool
ClinicalTrials.gov study NCT05092867. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
The Use of the VOMS Tool With Military Personnel to Track mTBI Recovery and RTD Status
ClinicalTrials.gov study NCT02634944. IPD Sharing: YES. Countries: 1. Publications: 1.
Customized Registry Tool for Tracking Adherence to Clinical Guidelines for Head and Neck Cancers
ClinicalTrials.gov study NCT03546322. IPD Sharing: NO. Countries: 1. Publications: 1.
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
Open the record for dataset details and reuse information.
An inducible genetic tool for tracking and manipulating specific microglial states in development and disease
GEO Series GSE264553. Mus musculus. 2634 samples. Type: Expression profiling by high throughput sequencing.
MyRareDiet A Novel Diet Tracking Tool
ClinicalTrials.gov study NCT06664840. IPD Sharing: NO. Countries: 0. Publications: 0.
Mobile Technology and Online Tools to Track Adherence in Chronic Illness Patients
ClinicalTrials.gov study NCT02864641. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Low-Cost Tool for Compliance and Treatment-Tracking of Low Back Pain Patients
ClinicalTrials.gov study NCT03478007. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of a New Ablation Tracking Tool in Paroxysmal Atrial Fibrillation Ablation With Contact Force Technology
ClinicalTrials.gov study NCT02681926. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.