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3,481 results for “data set”
Supplementary Data Sets for Machine Learning Tracks the Role of Slab-Derived Fluids in Large Igneous Province/CUGBZL
<p>Supplementary Dataset S1: All data collcted from both the GEOROC database and recent literature published in Chinese and English journals and books.<span></span></p> <p>Supplementary Dataset S2: Data after cleaning.</p> <p>Supplementary Dataset S3: Prediction results.</p>
DATA SET: Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies
<p>This repository contains the data sets of the article:</p> <p>P. Fernández Esteberena et al. (2024). Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies. <em>Biomedical Optics Express</em>. <a href="https://doi.org/10.1364/BOE.538141">https://doi.org/10.1364/BOE.538141</a></p>
Data Set For GGA24 a non-decomposable approximation for a non-additive kinetic potential
<p>Funding: National Science Center of Poland under grants no. 2023/07/X/ST4/01357 MINIATURA7.</p>
Data set for 2024GL112954
Open the record for dataset details and reuse information.
Data set for 2024JC021754
Open the record for dataset details and reuse information.
Data Set from Quasi-static Cyclic Tests of Scoured 2×3 Pile-Group Foundations for Bridge Structures
<p>This data set is from Quasi-static cyclic tests of scoured 2×3 pile-group foundations for bridge structures, as a data paper submitted to Earthquake Spectra (Submission ID: EQS-24-0190)</p>
Data set of Magnetic stability of magnetite particles with single vortex structure during low temperature oxidation
<p>Data set of Magnetic stability of magnetite particles with single vortex structure during low temperature oxidation</p>
Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets
<p>The dataset contains computed tomography (CT) images of head horses with annotations of 12 segments corresponding to areas with teeth. Imaged animals: 49 horses. Measured animal features such as surface area, and volume are included. The study was supported by the National Science Centre, Poland as a part of the project<br>Miniatura 6 No 2022/06/X/ST6/00431. </p>
Testing the Acoustic Localisation Positioning System-algorithm: Data sets
<p>The data is from 3 separate experimental setups: Tracking a device of constant speed using the Audio1 (single processor) software (B.1); and tracking a faster device using the al-Qt (multi processor) software (B.2) The experiments were also recorded on video. (see Video folder). For the experiments in B.1 a visualisation of the data has been made with the help of a MATLAB script which also included. The dimensions of the room and loudspeaker spacings were identical for both set-ups, namely 3 x 2 meters, with the loudspeakers at the corners of the rectangle. the loudspeakers were situated on the floor, approximately level with the tracked devices.</p> <p>Setup C collects debug log examples of experiments with very short capture cycles with 2 mics and 2 loudspeakers running ALPS al-Qt.</p> <p>The source code for Audio is available from: <a href="https://github.com/spatmus/alps/tree/master/Audio1">https://github.com/spatmus/alps/tree/master/Audio1</a><br> The source code for al-Qt is available from: <a href="https://github.com/spatmus/alps/tree/master/al-Qt">https://github.com/spatmus/alps/tree/master/al-Qt</a><br> A binary of al-Qt for macOS 11, can be found in the assets folder of the release <a href="https://github.com/spatmus/alps/releases">https://github.com/spatmus/alps/releases</a></p>
Data set (stata format) + do file for : Risk misperceptions of structured financial products with worst-of payout characteristics revisited
<p>This file contains the data set (in stata format) and do file associated with the paper entitled "Risk misperceptions of structured financial products with worst-of payout characteristics revisited"</p>
2021 DATA SET OF TRAFFIC COUNTES BASED ON CITIZEN SENSORS TO MONITOR DAILY TRAFFIC SOUTHERN INNER BYPASS RING IN LJUBLJANA
<p>Traffic counters for Southern inner bypass ring in Ljubljana, Slovenia. Corresponding roads: Aškerčeva road, Zoisova road, Karlovška road and Roška road.</p>
Data set supplementing "Interactive versus static decision support tools for COVID-19: An experimental comparison"
<p>This is the de-identified data set used to conduct the analyses in the preprint submitted to JMIR Public Health and Surveillance under the title "Interactive versus static decision support tools for COVID-19: An experimental comparison" (https://doi.org/10.2196/preprints.33733).</p> <p>This data set contains the appraisal of 196 respondents (without decision support, with static or with interactive decision support) to appropriate social and care-seeking behavior for seven fictitious descriptions of patients. Additionally, this data contains participants'</p> <ul> <li>gender</li> <li>educational background</li> <li>previous medical training</li> <li>affinity for technology</li> <li>experience with COVID-19 related medical questions</li> <li>perceived threat from COVID-19</li> <li>answers to a COVID-19 knowledge test</li> <li>accuracy</li> <li>decision certainty (after deciding)</li> <li>mental effort</li> <li>ratings of <ul> <li>the decision support tool's usefulness </li> <li>ease of use</li> <li>trust</li> <li>future intention to use the tool</li> </ul> </li> </ul>
Data set 1997
<p>Data set of morbidity items from Canary Health Survey, 1997</p>
Anonymous Data Set
<p>Data set for "Handling Environmental Uncertainty in Design Time Access Control Analysis".</p>
Data Sets for Article: Exploration on Learning Molecular Docking with Deep Learning Models
<p>The MOL2 and CSV file of the clustered compounds from ChemDiv are available in <strong>Additional file 2</strong></p> <p>Docking scores of training set1 and the following traing set2 for each target were saved as csv files and provided in <strong>Additional file 3.</strong></p> <p>The SMILES, MOL2, SDF of DUD-E compounds and PDB of receptors used for validation are provided in <strong>Additional file 4</strong>.</p> <p>The SMILES of 500,000 compounds randomly selected from the ChEMBL database are provided in <strong>Additional file 5</strong></p> <p>The SMILES of compounds with activities from the ChEMBL database for each target are provided in <strong>Additional file 6</strong></p>
DOE1 and DOE2 - Sensor data set radial forging at AFRC testbed
<p><strong>Sensor data set, radial forging at AFRC testbed</strong></p> <p><strong>General information on the data set</strong></p> <p>Radial forging is widely used in industry to manufacture components for a broad range of sectors including automotive, medical, aerospace, rail and industrial. The Advanced Forming Research Centre (AFRC) at the University of Strathclyde, Glasgow, houses a GFM SKK10/R radial forge that has been used as a testbed for this project. Using two pairs of hammers operating at 1200 strokes/min, and providing a maximum forging force per hammer of 150 tons, the radial forge is capable of processing a range of metals, including steel, titanium and inconel. Both hollow and solid material can be formed with the added benefit of creating internal features on hollow parts using a mandrel. Parts can be formed at a range of temperatures from ambient temperature to 1200 °C.</p> <p>For the provided data set, a total of 95 parts were forged over two days of operation. Each part was forged with machine parameters outlined in the file <code>Met4FoF STRATH test plan v4.xlsx</code>. Deviations from the test plan occurred during the second batch and are outline in the sheet <code>Batch 2</code>. Each forged part was then measured using a CMM to provide dimensional output relative to a target specification and tolerances. T<strong>he CMM records 16 dimensional measurements</strong>.</p> <p>The aim of the measurement setup is to predict the quality (in terms of dimensional properties) of the forged part from the sensor measurements during the forging process.</p> <p><strong>Structure of the data</strong></p> <ul> <li>The sensor readings for the forging of the parts are provided in csv files in the folders <code>ScopeTraces_DOE1</code> and <code>ScopeTraces_DOE2</code> for DOE1 and DOE2 respectively. For DOE1 the scope traces are named <code>Scope0001.csv</code> to <code>Scope0050.csv</code>. For DOE2 there were deviations and the Scope Traces to billet mapping is outlined in <code>Met4FoF STRATH test plan v4.xlsx</code>. Each file contains the readings (columns) against time (rows). The first column displays the clock times (in milliseconds).</li> <li>A commentary on the sensors is provided in the file <code>ForgedPartDataStructureSummaryv3.xlsx </code>(NOTE: Some columns do not have sensor descriptions as this information is not available).</li> <li>The CMM data is provided in the file <code>CMM_DOE1.xlsx</code> and <code>CMM_DOE2.xlsx</code> for DOE1 and DOE2 respectively.</li> </ul>
Data set - Monitoring light pollution with an unmanned aerial vehicle
<p>Dataset used in the study Monitoring light pollution with an unmanned aerial vehicle. A digital camera and a sky quality meter mounted on a UAV have been used to study the relationship between indices computed on night images and night ground brightness (NGB) measured by an optical device pointed downward towards the ground. Both measurements were taken contemporarily during flights at 70 meter and 100 meters altitude, and also varying exposure time.</p>
Data Set: The influence of roughness on experimental fault mechanical behaviour and associated microseismicity
<p>This is the data set used to create the figures for the submitted manuscript, The influence of roughness on experimental fault mechanical behaviour and associated microseismicity. Submitted July 2022 to the Journal of Geophysical Research: Solid Earth. Article DOI: 10.1029/2022JB025113</p>
Data set from: Robot-Assisted Gait Training in Patients with Multiple Sclerosis: A Randomized Controlled Crossover Trial.
<p>Data set from the paper "Robot-Assisted Gait Training in Patients with Multiple Sclerosis: A Randomized Controlled Crossover Trial" doi: <a href="https://dx.doi.org/10.3390%2Fmedicina57070713">10.3390/medicina57070713</a></p>
Oxylipin Data set
<p><span><span>The soluble epoxide hydrolase (sEH) enzyme is a major regulator of bioactive lipids. The enzyme is highly expressed in liver and kidney and modulates levels of endogenous epoxy-fatty acids which have pleiotropic biological effects including limiting inflammation, neuroinflammation and hypertension. It has been hypothesized that inhibiting sEH has beneficial effects on limiting obesity and metabolic disease as well. There is a body of literature published on these effects, but typically only male subjects have been included. Here we investigate the role of sEH in both male and female mice and use a global sEH knockout mouse model to compare the effects of diet and diet induced obesity. The results demonstrate sEH activity in the liver is modulated by high fat diets in male compared to female mice. In addition, we characterized the sEH activity in high fat content tissues and demonstrated the influence of diet on levels of bioactive epoxy-fatty acids. The sEH KO animals had generally increased epoxy-fatty acids compared to wildtype mice but gained less body weight on higher fat diets. Proinflammatory prostaglandins and triglycerides were also lower in livers of sEH KO mice fed HFD. Thus, sEH activity, prostaglandins and triglycerides increase in male mice on high fat diet but are all limited by sEH ablation. Additionally, these changes also occur in female mice though at a different magnitude and are also improved by knockout of the sEH enzyme.</span></span></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.