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1,956 results for “test data”
Simulated data for testing cell type adjustment methods
<p>***NOTE: An updated version of this dataset is available at https://zenodo.org/record/46746#.VtW7MmSAOko</p> <p>Different simulation scenarios on which to test cell type adjustment methods for epigenome-wide association studies. Each .RData file contains a matrix of methylation beta-values from a simulated blood cell mixture "sim_beta", a list of simulated differentially methylated positions "dmr", and a phenotype "disease_status".</p>
Updated simulated data for testing cell type adjustment methods
<p>Different simulation scenarios on which to test cell type adjustment methods for epigenome-wide association studies. Each .RData file contains a matrix of methylation beta-values from a simulated blood cell mixture "sim_beta", a list of simulated differentially methylated positions "dmr", and a phenotype "disease_status". Updated version with new simulation scenarios. Each of "simulated_data_many_assoc.tar.gz" and "simulated_data_few_assoc.tar.gz" contain 10 replications of those simulation scenarios. The other .RData files represent only one replication of each scenario.</p>
Testing global isotropy with WMAP data - MC chains and plots
<p>Testing isotropy with WMAP data: Monte Carlo chains, marginalized posteriors and triangle plots.</p> <p>File content:</p> <p>all_coupled_chains.zip: MC chains for all the coupled models and pure <span class="math-tex">\(\Lambda\text{CDM}\)</span>;</p> <p>all_coupled_plots.zip: plots of marginalised posteriors and triangle plots for all the coupled models and pure <span class="math-tex">\(\Lambda\text{CDM}\)</span>;</p> <p>all_decoupled_chains.zip: MC chains for all the decoupled models;</p> <p>all_decoupled_plots.zip: plots of marginalised posteriors and triangle plots for all the decoupled models.</p> <p> </p> <p>All plots were made with GetDist ( https://github.com/cmbant/getdist ).</p>
Testing sky brightness models against radial dependency: A dense two dimensional survey around the city of Madrid, Spain: SQM data
<p>We present a study of the night sky brightness around the extended<br /> metropolitan area of Madrid using Sky Quality Meter (SQM) photometers. The map is the first to cover the spatial distribution of the sky brightness in the<br /> center of the Iberian peninsula. These surveys are neccessary to test the light<br /> pollution models that predict night sky brightness as a function of the<br /> location and brightness of the sources of light pollution and the scattering of<br /> light in the atmosphere. We describe the data-retrieval methodology, which<br /> includes an automated procedure to measure from a moving vehicle in order to<br /> speed up the data collection, providing a denser and wider survey than previous<br /> works with similar time frames. We compare the night sky brightness map to the<br /> nocturnal radiance measured from space by the DMSP satellite. We find that i) a<br /> single source model is not enough to explain the radial evolution of the night<br /> sky brightness, despite the predominance of Madrid in size and population, and<br /> ii) that the orography of the region should be taken into account when deriving<br /> geo-specific models from general first-principles models. We show the tight<br /> relationship between these two luminance measures. This finding sets up an<br /> alternative roadmap to extended studies over the globe that will not require<br /> the local deployment of photometers or trained personnel.</p>
IMP test data set
<p>This file contains the test data set used within the article:</p> <p><strong>IMP: a reproducible pipeline for reference-independent integrated metagenomic and metatranscriptomic analyses</strong></p> <p>Shaman Narayanasamy<sup>†</sup>, Yohan Jarosz<sup>†</sup>, Emilie E.L. Muller, Cédric C. Laczny, Malte Herold, Anne Kaysen, Anna Heintz-Buschart, Nicolás Pinel, Patrick May, and Paul Wilmes<sup>*</sup></p> <p>Preprint: http://biorxiv.org/content/early/2016/02/10/039263</p> <p>This test data set was used for benchmarking the run times of IMP. They are derived by selecting the first 5% of reads from a wastewater sludge microbial community dataset (see manuscript). Also included are the respective preprocessed FASTQ files such that IMP can be tested without running the preprocessing step. A README file inside the folder briefly describes the different FASTQ files contained in the folder.</p>
SemEval 2017 Task 3 Subtask E Test data (StackExchange)
<p>This is the test data that was used for Task 3, Subtask E of the SemEval-2017 Shared Task. More information on the task can be found here: http://alt.qcri.org/semeval2017/task3/</p>
Supplementary material 3: List of tested and analyzed data sharing tools (non-exhaustive) from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
List of tested and analyzed data sharing tools (non-exhaustive)
Data providers package for reporting monitoring results for veterinary medicinal product residues (2017 test phase)
<p>This data providers package provides the data collection configuration and supporting materials for reporting veterinary medicinal product residues (VMPR) results according to Council Directive 96/23/EC of 29 April 1996 on measures to monitor certain substances and residues thereof in live animals and animal products and repealing Directives 85/358/EEC and 86/469/EEC and Decisions 89/187/EEC and 91/664/EEC. These are to be used for the 2017 data reporting test phase.</p> <p>The package includes;</p> <p>Advice on the values to be reported for the mandatory fields specified for this data collection</p> <p>The Standard Sample Description Version 2 XML schema definition for VMPR reporting</p> <p>The STX transformation file which automatically assigns sampEventId and sampAnId when this information is not provided</p> <p>The general and VMPR specific business rules applied for the automatic validation of the submitted datasets</p> <p>The VMPR specific terminologies to be used for reporting analytical methods and the residues included in the scope of the analytical methods</p> <p>An excel tool which can support users in creating the required XML file for submission where automated data collation tools are not available and a manual for the tool</p> <p> </p>
Data for testing the assumption of fractal scaling in canopy surfaces across a diverse range of forest types
<p>This is a collection of scripts and research data for a study on whether canopy surfaces follow fractal scaling laws across a diverse range of forest types. The article citation is: <span>Fischer, F. J.</span>, & <span>Jucker, T.</span> (<span>2024</span>). <span>No evidence for fractal scaling in canopy surfaces across a diverse range of forest types</span>. <em>Journal of Ecology</em>, <span>112</span>, <span>470</span>–<span>486</span>. <a href="https://doi.org/10.1111/1365-2745.14244">https://doi.org/10.1111/1365-2745.14244</a>.</p> <p>As data, we use canopy height models (CHMs) from 9 Australian research sites belonging to the Terrestrial Ecosystem Research Network (TERN). Their extent is 5 km x 5 km throughout. The underlying data can be found here: https://portal.tern.org.au/metadata/TERN/4ff0b4c9-cfa0-4d09-9520-b5402adc583f. Climatic data are extracted from the CHELSA climatology 1981-2010 (Brun et al. 2022: Global climate-related predictors at kilometer resolution for the past and future. Earth System Science Data, 14(12), 5573–5603. https://doi.org/10.5194/essd-14-5573-2022; Karger et al. 2017: Climatologies at high resolution for the earth's land surface areas. Scientific Data, 4(1), 170122. https://doi.org/10.1038/sdata.2017.122).</p> <p>Each uploaded zip-file corresponds to a folder within a common repository. To reproduce our analysis, unpack into the same folder, upholding naming conventions and overall structure. Please note that some parts of the analysis require external software, e.g., GRASS GIS for the generation of simulated fractal surfaces. Paths need to be reset accordingly. </p> <p><strong>rscripts.zip:</strong> </p> <ul> <li>the overall R script ("areforestsfractals_v3.R") used to generate fractal surfaces, calculate fractal statistics from CHMs and simulated surfaces, and to carry out the analysis</li> <li>various summary statistics saved both as RData and csv files</li> </ul> <p><strong>TERN.zip:</strong></p> <ul> <li>data within this folder are ordered by site name</li> <li>for each site, we include several CHMs, their corresponding DSMs (digital surface models) and DTMs (digital terrain models), as well as ancillary layers (pulse densities of laser scans)</li> <li>for each site and each CHM/DSM, we also save the fractal scaling properties in separate csv files</li> </ul> <p><strong>TERNtrees.zip:</strong></p> <ul> <li>data within this folder are ordered by site name</li> <li>for each site, we include manual delineations of the largest trees per 1 km x 1 km square (25 in total)</li> <li>for each site, we include subplots of the CHM (200 m x 200 m) centred around the largest tree</li> </ul> <p><strong>climate.zip:</strong></p> <ul> <li>climate layers from CHELSA for precipitation and site water balance</li> </ul> <p><strong>terrain_fractal.zip:</strong></p> <ul> <li>simulated fractal surfaces, based on different generating algorithms</li> <li>fractal scaling properties of simulated fractal surfaces in separate csv files</li> </ul> <p><strong>sites_coordinates.csv</strong></p> <ul> <li>lon/lat coordinates of each site</li> </ul> <p> </p> <p> </p>
Acoustic data and Loading Regime of Two Rock Physics Experiments carried out on INOVA-1000 test-complex, Borok, Russia
<p>Dataset linked to a manuscript under revision: <strong>"Source parameters of laboratory acoustic emission events estimated from the coda of waveforms"</strong>. Two experiments carried out on cilindrical samples (D30xH60mm) of Berea sandstone and granite of Voronezh crystal massif (Russia). Each experimental dataset contains: acoustic records from 16 sensors, the appearance of acoustic emission events during the experiment, velocities of P-waves changing in time, loading regime, i.e. confining pressure and axial loading curves, results of source characteristics analyses from coda-waves: corner frequencies, relative seismic moments and relative stress-drops. </p>
Prometheus stress testing data from the microservices-demo "sockshop" application
<p>Stress testing done with Locust, stressing the various microservice API endpoints available from the sockshop microservices demo found in https://microservices-demo.github.io/ </p><p>Part of a master's thesis project</p>
Data for testing method proposed in MuSHRoom (Kinect Part 2)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_3</p><p>long_capture/sdf_dataset_train_interp_3</p>
Data for testing method proposed in MuSHRoom (iPhone Part 2)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_3</p><p>long_capture/sdf_dataset_train_interp_3</p>
Data for testing method proposed in MuSHRoom (iPhone Part 1)
<p>Data Structure</p><p>long_capture/sdf_dataset_all_interp_4</p><p>long_capture/sdf_dataset_train_interp_4</p>
Canopy Quality Test Data
<p>Test data for Scivision canopy quality models.</p>
Room temperature and elevated temperature tensile test and elastic properties data of Al-alloy EN AW-2618A after different aging times and temperatures
<p><span>The dataset contains two types of data: elastic properties (Young's and shear modulus, Poisson's ratio) between room temperature and 250 °C and a set of tensile tests at different aging times, aging temperatures, and test temperatures. </span></p>
wyss/chip-extract: test data files
<p>Example images of microwell chips for data extraction methods described in the following GitHub repository:</p> <p>https://github.com/Wyss/chip-extract</p> <p> </p>
Data from: A test of the seasonal availability of water hypothesis in a C3/C4 mixed grassland
<p>Understanding how cool-season C<sub>3</sub> and warm-season C<sub>4</sub> grasses will respond to climate change is critical for predicting future grassland functioning. With warming, C<sub>4</sub> grasses are expected to increase relative to C<sub>3</sub> grasses. But, alterations in the seasonal availability of water may also influence C<sub>3</sub>/C<sub>4</sub> dynamics because of their distinct seasons of growth. To better understand how shifts in the seasonal availability of water can affect ecosystem function in a northern mixed grass prairie in southeastern Wyoming, we reduced early season rainfall (April – June 2021) using rainout shelters and added the amount of excluded precipitation during the latter half of the growing season (July-September), effectively shifting spring rainfall to summer rainfall. As expected, this shift in precipitation seasonality influenced patterns of soil water availability, leading to increased soil respiration in the summer months and sustained canopy greenness throughout the growing season. Despite these responses, there were no significant differences in C<sub>3</sub> aboveground net primary production (ANPP) between the seasonally shifted treatment (SEAS) and the plots that received ambient (AMB) precipitation. This was likely due to the high levels of spring soil moisture present before rainout shelters were deployed that sustained C<sub>3</sub> grass growth. However, in plots with high C<sub>4</sub> grass cover, C<sub>4</sub> ANPP increased significantly in response to increased summer rainfall. Overall, we provide the first experimental evidence that shifts in the seasonality of precipitation, with no change in temperature, will differentially impact C<sub>3</sub> vs. C<sub>4</sub> species, altering the dynamics of carbon cycling and canopy albedo in this extensive semi-arid grassland.</p>
Compendial testing data of bictegravir and cabotegravir
<p>ISO/IEC 17043:2015, specifies general requirements for the competence of providers and development and operation of proficiency testing schemes. As a requirement of ISO/IEC 17043:2015 accreditation, the Clinical Pharmacology Quality Assurance Program uses ISO 17034 certified reference materials (CRMs) to produce proficiency testing materials. When CRMs that meet the ISO/IEC 17034 standard are not available or are prohibitively expensive, the purity and identity of non-certified standards must be authenticated by compendial testing to establish fit for intended use. Here, we report on a compendial testing approach used to assess whether standard reference materials for bictegravir and cabotegravir, two emerging drugs used in the treatment of HIV infection, are suitable for proficiency testing. Our approach uses high performance liquid chromatography and thermogravimetric analysis to evaluate purity of the materials and high-resolution mass spectrometry and proton nuclear magnetic resonance spectroscopy to establish molecular identity. Using this approach, we were able to certify standard reference materials for bictegravir and cabotegravir that are suitable for proficiency testing, providing some lower-costs alternatives.</p>
Graded Incremental Test Data (Cycling, Running, Kayaking, Rowing): an open access dataset
<p><strong>Section 1: Introduction</strong></p> <p> </p> <p>Brief overview of dataset contents:</p> <ul> <li>Current database contains anonymised data collected during exercise testing services performed on male and female participants (cycling, rowing, kayaking and running) provided by the Human Performance Laboratory, School of Medicine, Trinity College Dublin, Dublin 2, Ireland. </li> <li>835 graded incremental exercise test files (285 cycling, 266 rowing / kayaking, 284 running)</li> <li>Description file with each row representing a test file - COLUMNS: file name (AXXX), sport (cycling, running, rowing or kayaking)</li> <li>Anthropometric data of participants by sport (age, gender, height, body mass, BMI, skinfold thickness,% body fat, lean body mass and haematological data; namely, haemoglobin concentration (Hb), haematocrit (Hct), red blood cell (RBC) count and white blood cell (WBC) count )</li> <li>Test data (HR, VO<sub>2</sub> and lactate data) at rest and across a range of exercise intensities</li> <li>Derived physiological indices quantifying each individual’s endurance profile</li> </ul> <p> </p> <p>Following a request from athletes seeking assessment by phone or e-mail the test protocol, risks, benefits and test and medical requirements, were explained verbally or by return e-mail. Subsequently, an appointment for an exercise assessment was arranged following the regulatory reflection period (7 days). Following this regulatory period each participant’s verbal consent was obtained pre-test, for participants under 18 years of age parent / guardian consent was obtained in writing. Ethics approval was obtained from the Faculty of Health Sciences ethics committee and all testing procedures were performed in compliance with Declaration of Helsinki guidelines.</p> <p> </p> <p>All consenting participants were required to attend the laboratory on one occasion in a rested, carbohydrate loaded and well-hydrated state, and for male participants’ clean shaven in the facial region. All participants underwent a pre-test medical examination, including assessment of resting blood pressure, pulmonary function testing and haematological (Coulter Counter Act Diff, Beckmann Coulter, CA,US) review performed by a qualified medical doctor prior to exercise testing. Any person presenting with any cardiac abnormalities, respiratory difficulties, symptoms of cold or influenza, musculoskeletal injury that could impair performance, diabetes, hypertension, metabolic disorders, or any other contra-indicatory symptoms were excluded. In addition, participants completed a medical questionnaire detailing training history, previous personal and family health abnormalities, recent illness or injury, menstrual status for female participants, as well as details of recent travel and current vaccination status, and current medications, supplements and allergies. Barefoot height in metre (Holtain, Crymych, UK), body mass (counter balanced scales) in kilogram (Seca, Hamburg, Germany) and skinfold thickness in millimetre using a Harpenden skinfold caliper (Bath International, West Sussex, UK) were recorded pre-exercise.</p> <p> </p> <p><strong>Section 2: Testing protocols </strong></p> <p> </p> <p><strong>2.1: Cycling</strong></p> <p> </p> <p>A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on an electromagnetically braked cycle ergometer (Lode Excalibur Sport, Groningen, The Netherlands). Participants initially identified a cycling position in which they were most comfortable by adjusting saddle height, saddle fore-aft position relative to the crank axis, saddle to handlebar distance and handlebar height. Participant’s feet were secured to the ergometer using their own cycling shoes with cleats and accompanying pedals. The protocol commenced with a 15-min warm-up at a workload of 120 Watt (W), followed by a 10-min rest. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a workload of 100 or 120 W for female and male participants, respectively, and subsequently increasing by a 20, 30 or 40 W incremental increase every 3-min depending on gender and current competition category. During assessment participants maintained a constant self-selected cadence chosen during their warm-up (permitted window was 5 rev.min<sup>−1 </sup>within a permitted absolute range of 75 to 95 rev.min<sup>−1</sup>) and the test was terminated when a participant was no longer able to maintain a constant cadence.</p> <p> </p> <p>Heart rate (HR) data were recorded continuously by radio-telemetry using a Cosmed HR monitor (Cosmed, Rome, Italy). During the test, blood samples were collected from the middle finger of the right hand at the end of the second minute of each 3-min interval. The fingertip was cleaned to remove any sweat or blood and lanced using a long point sterile lancet (Braun, Melsungen, Germany). The blood sample was collected into a heparinised capillary tube (Brand, Wertheim, Germany) by holding the tube horizontal to the droplet and allowing transfer by capillary action. Subsequently, a 25μL aliquot of whole blood was drawn from the capillary tube using a YSI syringepet (YSI, OH, USA) and added into the chamber of a YSI 1500 Sport lactate analyser<strong> </strong>(YSI, OH, USA) for determination of non-lysed [Lac] in mmol.L<sup>−1</sup>. The lactate analyser was calibrated to the manufacturer’s requirements (± 0.05 mmol.L<sup>−1</sup>) before each test using a standard solution (YSI, OH, USA) of known concentration (5 mmol.L<sup>−1</sup>) and analyser linearity was confirmed using either a 15 or 30 mmol.L<sup>-1</sup> standard solution (YSI, OH, USA).</p> <p> </p> <p>Gas exchange variables including respiration rate (Rf in breaths.min<sup>-1</sup>), minute ventilation (VE in L.min<sup>-1</sup>), oxygen consumption (VO<sub>2 </sub>in L.min<sup>-1</sup> and in mL.kg<sup>-1</sup>.min<sup>-1</sup>) and carbon dioxide production (VCO<sub>2 </sub>in L.min<sup>-1</sup>), were measured on a breath-by-breath basis throughout the test, using a cardiopulmonary exercise testing unit (CPET) and an associated software package (Cosmed<strong>,</strong> Rome, Italy). Participants wore a face mask (Hans Rudolf, KA, USA) which was connected to the CPET unit. The metabolic unit was calibrated prior to each test using ambient air and an alpha certified gas mixture containing 16% O<sub>2</sub>, 5% CO<sub>2</sub> and 79% N<sub>2</sub> (Cosmed, Rome, Italy). Volume calibration was performed using a 3L gas calibration syringe (Cosmed, Rome, Italy). Barometric pressure recorded by the CPET was confirmed by recording barometric pressure using a laboratory grade barometer.</p> <p> </p> <p>Following testing mean HR and mean VO<sub>2</sub> data at rest and during each exercise increment were computed and tabulated over the final minute of each 3-min interval. A graphical plot of [Lac], mean VO<sub>2</sub> and mean HR versus cycling workload was constructed and analysed to quantify physiological endurance indices, see Data Analysis section. Data for VO<sub>2</sub> peak in L.min<sup>-1</sup> (absolute) and in mL.kg<sup>-1</sup>.min<sup>-1</sup> (relative) and VE peak in L.min<sup>-1</sup> were reported as the peak data recorded over any 10 consecutive breaths recorded during the last minute of the final exercise increment.</p> <p> </p> <p><strong>2.2: Running protocol</strong></p> <p> </p> <p>A continuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a motorised treadmill (Powerjog, Birmingham, UK). The running protocol, performed at a gradient of 0%, commenced with a 15-min warm-up at a velocity (km.h<sup>-1</sup>) which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity. Subsequently, the warm-up was followed by a 10 minute rest / dynamic stretching phase. From a safety perspective during all running GxT participants wore a suspended lightweight safety harness to minimise any potential falls risk. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal running velocity which was lower than the participant’s reported typical weekly long run (>60 min) on-road training velocity, and subsequently increased by ≥ 1 km.h<sup>-1</sup> every 3-min depending on gender and current competition category. The test was terminated when a participant was no longer able to maintain the imposed treadmill.</p> <p> </p> <p>Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.</p> <p> </p> <p><strong>2.3: Rowing / kayaking protocol</strong></p> <p> </p> <p>A discontinuous graded incremental exercise test (GxT) to volitional exhaustion was performed on a Concept 2C rowing ergometer (Concept, VA, US) in rowers or a Dansprint kayak ergometer (Dansprint, Hvidovre, Denmark) in flat-water kayakers. The protocol commenced with a 15-min low-intensity warm-up at a workload (W) dependent on gender, sport and competition category, followed by a 10-min rest. For rowing the flywheel damping (120, 125 or 130W) was set dependent on gender and competition category. For kayaking the bungee cord tension was adjusted by individual participants to suit their requirements. A discontinuous protocol of 3-min exercise at a targeted load followed by a 1-min rest phase to facilitate stationary earlobe capillary blood sample collection and resetting of ergometer display (Dansprint ergometer) was used. The GxT began with a 3-min stationary phase for resting data collection, followed by an active phase commencing at a sub-maximal load 80 to 120 W for rowing, 50 to 90 W for kayaking and subsequently increased by 20,30 or 40 W every 3-min depending on gender, sport and current competition category. The test was terminated when a participant was no longer able to maintain the targeted workload. </p> <p>Measurement variables, equipment and pre-test calibration procedures, timing and procedure for measurement of selected variables and subsequent data analysis were as outlined in Section 2.1.</p> <p> </p> <p><strong>3.1: Data analysis</strong></p> <p> </p> <p>Constructed graphical plots (HR, VO<sub>2</sub> and [Lac] versus load / velocity) were analysed to quantify the following; load / velocity at T<sub>Lac</sub>, HR at T<sub>Lac</sub>, [Lac] at T<sub>Lac</sub>, % of VO<sub>2</sub> peak at T<sub>Lac</sub>, % of HRmax at T<sub>Lac</sub>, load / velocity and HR at a nominal [Lac] of 2 mmol.L<sup>-1</sup>, load / velocity, VO<sub>2</sub> and [Lac} at a nominal HR of 160 beats.min<sup>-1</sup>. Load at T<sub>Lac</sub> was determined using segmental regression analysis. Two linear segments were plotted that minimised the squared sum of the residuals between the plotted points and best fit lines. The intersection of these the two linear segments was defined as the relevant breakpoint or threshold, (Raleigh <em>et al. </em>2018<em>. Int J Exerc Sci</em>, <strong>11</strong>, 391-403.</p> <p> </p> <p><strong>4.1: Terms of Use</strong></p> <p> </p> <p>The attached database is provided as a research or educational asset / tool for coach, athlete and exercise science / exercise medicine education and usage only.</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.