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641 results for “data validation”
Validation data Set: Development and validation of a quantitative method for 15 antiviral drugs in poultry muscle using liquid chromatography coupled to tandem mass spectrometry
<p>Validation dataset for paper published in the Journal of Chromatography A.</p> <p> </p> <p>Clément Douillet, Mary Moloney, Melissa Di Rocco, Christopher Elliott, Martin Danaher,<br> Development and validation of a quantitative method for 15 antiviral drugs in poultry muscle using liquid chromatography coupled to tandem mass spectrometry, Journal of Chromatography A, Volume 1665, 2022, 462793, ISSN 0021-9673,</p> <p><br> Abstract:</p> <p>The objective of this work was to develop a quantitative multi-residue method for analysing antiviral drug residues and their metabolites in poultry meat samples. Antiviral drugs are not licensed for the treatment of influenza in food producing animals. However, there have been some reports indicating their illegal use in poultry. In this study, a method was developed for the analysis of 15 antiviral drug residues in poultry muscle (chicken, duck, quail and turkey) using liquid chromatography coupled to tandem mass spectrometry. This included 13 drugs against influenza and associated metabolites, but also two drugs employed for the treatment of herpes (acyclovir and ganciclovir). The method required the development of a novel chromatographic separation using a hydrophilic interaction chromatographic (HILIC) BEH amide column, which was necessary to retain the highly polar compounds. The analytes were detected using a triple quadrupole mass spectrometer operating in positive electrospray ionization mode. A range of different sample preparation protocols suitable for polar compounds were evaluated. The most effective procedure was based on a simple acetonitrile-based protein precipitation step followed by a further dilution in a methanol/water solution. The confirmatory method was validated according to the EU 2021/808 guidelines on different species including chicken, duck, turkey and quail. The validation was performed using various calibration curves ranging from 0.1 µg kg−1to 200 µg kg−1, according to the analyte. Depending on the analyte sensitivity, decision limits achieved ranged from 0.12 µg kg−1 for arbidol to 34.7 µg kg−1 for ribavirin. Overall, the reproducibility precision values ranged from 2.8% to 22.7% and the recoveries from 84% to 127%. The method was applied to 120 commercial poultry samples from the Irish market, which were all found to be residue-free.<br> Keywords: Antiviral drug residues; Influenza; HILIC; LC-MS/MS; Poultry muscle</p>
Genomic data support the taxonomic validity of Middle American livebearers Poeciliopsis gracilis and Poeciliopsis pleurospilus (Cyprinodontiformes: Poeciliidae)
<p class="BodyA"><i>Poeciliopsis</i> (Cyprinodontiformes: Poeciliidae) is a genus comprised of 25 species of freshwater fishes. Several well-known taxonomic uncertainties exist within the genus, especially in relation to the taxonomic status of <i>Poeciliopsis pleurospilus</i> and <i>P. gracilis</i>. However, to date, no studies have been conducted to specifically address the taxonomic status of these two species. The goal of this study was to examine the taxonomic validity of <i>P. pleurospilus</i> and <i>P. gracilis</i> using genomic data (ddRADseq) in phylogenetic, population genetic, and species delimitation frameworks. Multiple analyses support the recognition of both taxa as distinct species and also permits us to revise their respective distributions. A species delimitation analysis indicates that <i>P. pleurospilus </i>and <i>P. gracilis </i>are distinct species from one another, each of which consists of two distinct lineages that are geographically structured. Phylogenetic and population genetic analyses demonstrate clear evidence that individuals of <i>P. gracilis</i> are distributed north and west of the Isthmus of Tehuantepec in both Pacific and Atlantic river systems in Mexico, whereas individuals of <i>P. pleurospilus</i> are distributed in both Atlantic and Pacific river systems south and east of the Isthmus of Tehuantepec, from southern Mexico to Honduras.</p>
Data from: Validity, applicability and universality of fractal scaling laws for natural lakes
<p><span>We conducted a systematic investigation on the validity, applicability and universality of the fractal scaling relationships for natural lakes within China. Hydro-climatic zones from the Hydrological regionalization of China were taken as the statistical units for all the analyses. Lake size and hydrological parameters used in the analyses are from the HydroLAKES database. To test the validity of the fractal scaling relationships between lake properties, power law functions were fitted to these properties. To examine the effects of topographical relief on the power law size distribution, regional degree of topographical relief was calculated for each zone based on ASTER GDEM2. To explore the potential impacts of human activities on the applicability of power law size distribution, Human modification index data was jointly analyzed with the power law distribution of lake size.</span></p>
Validation Data used for manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model"
<p>those are the processed data that used for model-data comparison in the manuscript "Climate Projections over the Great Lakes Region: Using Two-way Coupling of a Regional Climate Model with a 3-D Lake Model", including Lake Surface Temperature and Lake Surface Ice Cover from Great Lakes Surface Environmental Analysis (GLSEA), Surface Air temperature and Precipitation from Climatic Research Unit (CRU). </p>
RGB data [front and side views] of the wearable system validation study
<p>This is RGB data of the wearable system validation study. Two video cameras were used. One had the front view. Another was setted at the left side. The recordings were synchronized with Qualisys and Xsens systems.</p> <p>Data structure:</p> <ul> <li>Subjxx: Subject folder <ul> <li>xxxx_front_anonymozied.avi : the front view video of certain movement.</li> <li>xxxx_side_anonymozied.avi : the side view video of certain movement.</li> </ul> </li> </ul> <p> </p> <p> </p> <p> </p> <p> </p>
Data from: New remains of the aquatic turtle Hydromedusa casamayorensis (Pleurodira, Chelidae) from the middle Eocene of Patagonia: taxonomic validation and phylogenetic relationships
Twenty- seven new specimens recovered from lower levels of the Sarmiento Formation (Casamayoran SALMA, middle Eocene) in the ¨Cañadón Hondo¨ area, Chubut (Argentina), bring new information on the Palaeogene long-necked chelid Hydromedusa casamayorensis.The discovery of cranial and postcranial remains allows a complete description of the only known extinct species of the genus Hydromedusa recognizing diagnostic characters that revalidate the taxonomic status of this species. Hydromedusa casamayorensis is incorporated into a cladistic framework of chelid turtles. The unconstrained and constrained phylogenetic analyses recovered H. casamayorensis as a sister taxon of Hydromedusa maximiliani plus H. tectifera. A Danian age is proposed at least for the origin of the Hydromedusa clade, while a Late Cretaceous is suggested for the age of the split from the Yaminuechelys clade. Great differences in size are documented for H. casamayorensis based on the various specimens recovered from this study. The osteohistological study in H. casamayorensis and H. tectifera shows similarities in the internal cortex and cancellous bone of both taxa, but some differences are observed in the external cortex of H. casamayorensis (e.g. a parallel fibered bone on the more external surface of this cortex).
Data from: Validity of bioelectrical impedance analysis in predicting total body water and adiposity among Senegalese school-aged children
Introduction: Childhood obesity is currently a serious public health challenge in developing countries. Therefore, an accurate assessment of adiposity is required. The objective of this study was to validate BIA prediction equations for the assessment of total body water and adiposity or percentage of body fat for the first time in Senegalese school-aged children. Methods: One-hundred-fifty-one (151) pupils who were 8-11 years old were randomly selected from four public schools in Dakar. The body composition measured by deuterium dilution method (DDM) was used as the reference method and compared to that predicted by BIA using a multi-frequency analyser. Stepwise backward multiple linear regression was performed to calculate TBW and %BF in a subsample, which were then validated it in the rest of the sample. The Bland and Altman approach was used to assess the agreement between the two methods (bias and limits of agreement). Results: FFM was higher in boys (24.6±6.9 kg) compared to girls (21.2±3.3 kg; P<0.001), and %BF was lower in boys (5.1±4.6 kg) compared to girls (5.3±3.8 kg; P<0.05). Overall, 11.3% of children were obese (%BF ≥25% in boys, and ≥30% in girls) and 4.6% were overweight/obese according to their BMI-z score (>+1). The equations developed were as follows: TBW=0.376(Height²/Z50)-0.470 (sex) +0.076(weight) +0.065(height)-2.28. %BF= -1.10(height²/Z50) +3.14(sex)+1.57(weight)-4.347. These specific equations showed good precision and a low and non-significant mean bias (0.11 kg, P=0.279; and 0.19 kg, P=0.764) for TBW and %BF, respectively. Conclusion: The newly developed equations can be used as an accurate and alternative tool for screening for obesity among African school-aged children in various settings
Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds: Labeled validation data
<p>Set of 10 manually labeled point clouds used in the performance assessment of "Graph-based Leaf–Wood Separation Method for Individual Trees Using Terrestrial Lidar Point Clouds". This dataset is a collection of single trees scanned from different regions covering tropical, temperate, and boreal species—with heights ranging from 5.4 to 43.7 m, using the Riegl VZ-400 and Leica ScanStation C10 terrestrial laser scanner. These data have been preprocessed. For the original data, see https://doi.org/10.5061/dryad.10hq7;<br> https://doi.org/10.5061/dryad.np5hqbzp6;<br> https://doi.org/10.1594/PANGAEA.942856.</p>
Supplemental data for: Development and validation of a polygenic risk score for stroke in the Chinese population
<div class="WordSection1"> <div class="WordSection1"> <strong>Objective</strong>: To construct a polygenic risk score (PRS) for stroke and evaluate its utility in risk stratification and primary prevention for stroke.</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Methods</strong>: Using meta-analytic approach and large genome-wide association results for stroke and stroke-related traits in East Asians, we generated a combined PRS (metaPRS) by incorporating 534 genetic variants in a training set of 2,872 patients with stroke and 2,494 controls. We then validated its association with incident stroke using Cox regression models in large Chinese population-based prospective cohorts comprising 41,006 individuals.</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Results</strong>: During a total of 367,750 person-years (mean follow-up 9.0 years), 1,227 participants developed stroke before age of 80 years. Individuals with high polygenic risk had an about 2-fold higher risk of incident stroke compared with those with low polygenic risk (HR: 1.99, 95% CI: 1.66-2.38), with the lifetime risk of stroke being 25.2% (95% CI: 22.5%-27.7%) and 13.6% (95% CI: 11.6%-15.5%), respectively. Individuals with both high polygenic risk and family history displayed the lifetime risk as high as 41.1% (95% CI: 31.4%-49.5%). Moreover, individuals with high polygenic risk achieved greater benefits in terms of absolute risk reductions from adherence to ideal fasting blood glucose and total cholesterol than those with low polygenic risk. Maintaining favorable cardiovascular health (CVH) profile could substantially mitigate the increased risk conferred by high polygenic risk to the level of the low polygenic risk (from 34.6 % to 13.2%).</div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Conclusions</strong>: Our metaPRS has great potential for risk stratification of stroke and identification of individuals who may benefit more from maintaining ideal CVH. </div> <div class="WordSection1"> </div> <div class="WordSection1"> <strong>Classification of Evidence</strong>: This study provides Class I evidence that a meta-polygenic risk score is predictive of stroke risk.</div> <p> </p> </div>
Experimental data for validation of a single-storey flexible double-skin façade system model
<p>Double skin façades are adaptive envelopes aiming at improving building energy use and comfort performance. Their adaptive principle relies on the dynamic management of the cavity’s ventilation flow and the shading device (when available). They can also be integrated with the environmental systems for heating, cooling, and ventilation. In most cases, though, the possible exploitation of the ventilation airflow is not fully enabled, as the adoption of only one or two possible airpath limits the possibility that this façade architecture offers and flexible interaction with the environmental systems is not planned. This work aims to develop, using an existing software tool for building energy simulation, a numerical model of a flexible double-skin façade module capable of fully exploiting the adaptive features of such envelope concept by switching between different cavity ventilation strategies. Leveraging on the Double Glass Facade component available in IDA ICE, a new model for a flexible double-skin façade module was developed, and its performance in replicating the thermophysical behaviours of such a dynamic system has been assessed by comparison with experimental data collected through a dedicated experimental activity using one the outdoor test cells of the TWINS facility in Torino (Italy). The accuracy of the predictions resulted in line with the performance obtained by the Double Glass Facade component to simulate conventional double-skin facades. By establishing a new archetype model to study the performance and optimal integration of a large class of double-skin façade modules, including fully flexible ones, this works demonstrated the possibility of modifying existing models in building energy simulation tools to study unconventional building envelope model solutions such as adaptive façade systems.</p>
A strategy to validate protein function predictions in vitro - accompanying data
<p>This repository contains the ProteinCartography analyses that accompany the pub "<a href="https://doi.org/10.57844/arcadia-cae9-96c4">A strategy to validate protein function predictions <em>in vitro</em></a><a href="https://doi.org/10.57844/arcadia-cae9-96c4">."</a> These proteins were selected from a list of the 200 most studied human proteins in the Protein Data Bank (PDB) which was published in <a href="https://onlinelibrary.wiley.com/doi/10.1002/pro.4038">Liu and Buck, 2021</a>. </p> <p>Each analysis was done using <a href="https://github.com/Arcadia-Science/ProteinCartography/releases/tag/v0.5.0">v0.5.0</a> of ProteinCartography using the standard configuration parameters. Each analysis is in its own zipped file corresponding to the protein name. The zipped files contain inputs, configuration files, all the structures, and all ProteinCartography results. Additionally, for a handful of the proteins, we ran a scaled-up version of ProteinCartography asking for 10,000 hit proteins instead of the standard. These are also included with the file prefix "Scaled-up_". </p> <p>Finally, we've decided to move forward with 2 protein families for validation of our tool, ProteinCartography. These protein families are <a href="https://doi.org/10.57844/arcadia-1e5d-e272">deoxycytidine kinase</a> and <a href="https://doi.org/10.57844/arcadia-74ad-345f">Ras GTPase</a>. For more about these two protein families, visit the mentioned pubs! </p>
Outputs from fitted models across the cross-validation scenarios for 'Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area'
<p>Three Zenodo repositories are linked to the preprint <em>Space-time Species Distribution Modeling for Opportunistic Presence-Only Data: A Case Study of Passerines in a Protected Area </em>(Lasgorceux et al., unpublished, <a href="https://hal.science/hal-04616332">https://hal.science/hal-04616332</a>):</p> <ul> <li>Data, scripts and, code (Lasgorceux et al., Zenodo, <a href="https://doi.org/10.5281/zenodo.12545052">https://doi.org/10.5281/zenodo.12545052</a>)</li> <li>Outputs from fitted models across the cross-validation scenarios (Lasgorceux et al., Zenodo, <a href="https://doi.org/10.5281/zenodo.12544212">https://doi.org/10.5281/zenodo.12544212</a>)</li> <li>Supplementary information at (Lasgorceux et al., Zenodo, <a href="https://doi.org/10.5281/zenodo.12541412">https://doi.org/10.5281/zenodo.12541412</a>)</li> </ul> <p>This repository contains the outputs from fitted models across the cross-validation scenarios.</p> <p>In the folder <em>Ouputs_cross_validation</em>, each species is represented by a .RData file, numbered from 1 to 77 (excluding 7, which corresponds to <em>Bombycilla garrulus</em>; see the preprint for details). This dataset is specifically used to generate Figure 1, which shows the AUC of various cross-validation scenarios. To reproduce this figure in R, place all the files in the <em>Results/Fitted_models</em> folder and run the <em>Models_Outputs.R</em> script located in the <em>Results</em> folder of Lasgorceux et al., Zenodo, <a href="https://doi.org/10.5281/zenodo.12545052">https://doi.org/10.5281/zenodo.12545052.</a></p> <p>Note: These data have been separated due to memory requirements (23.14GB).</p>
Data from: Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.
<p>Dataset associated with the paper "Digital Divide: Addressing Internet Skills. Educational implications in the validation of a scale.", dealing with the Italian validation of the Internet Skills Scale (ISS).</p>
CliqueMS Validation Data
<p>CliqueMSData</p> <p>Data used for the validation of CliqueMS (<a href="https://CRAN.R-project.org/package=cliqueMS">https://CRAN.R-project.org/package=cliqueMS)</a></p> <p>This repository contains the mzXML files corresponding to the novel LC-MS1 spectra used to validate CliqueMS. The raw data corresponding to these files has been obtained as explained below. The corresponding mzXML files have been obtained using the msconvert tool in ProteoWizard.</p> <p>This repository includes 3 files:</p> <p>standards.mzXML</p> <p>positive.mzXML</p> <p>negative.mzXML</p> <p> </p> <p><strong>standards.mzXML - Mixture of standards</strong></p> <p><em>Materials.</em></p> <p>MS1 grade acetonitrile (ACN), ammonium acetate (NH4Ac) and NH4OH were purchased from SDS (Peypin, France). Water was produced in an in-house Milli-Q purification system (Millipore, Molsheim, France). Formic acid and ammonium fluoride were purchased from Sigma-Aldrich (Steinheim, Germany). Standards: (-)riboflavine, 1,2-distearoyl-sn-glycero-3-phosphocholine, biotin, cholic acid, deoxycholic acid, L-methionine sulfoxide, thymine and uracil were purchased from Sigma-Aldrich (Steinheim, Germany).</p> <p>Standard mix preparation.</p> <p>All standards were pooled to a final concentration of 1ppm in H2O:ACN (5:95) with 0.1% formic acid.</p> <p><em>MS1 analyses.</em></p> <p>MS1 analyses were performed using an UHPLC system (1290 series, Agilent Technologies) coupled to a 6550 ESI-QTOF MS (Agilent Technologies) operated in positive (ESI+) electrospray ionization mode. A vial containing the standard mix was kept at -20ºC prior to MS1 analysis. Metabolites were separated using an Acquity UPLC BEH HILIC column (2.1 x 150 mm, 1.8 \mu m) and the solvent system was A1 = 20mM ammonium acetate and 15 mM NH4OH in water and B1 = 95% ACN and 5% H2O. The linear gradient elution started at 100% B (time 0--2 min) and finished at 75% A (10-15 min). The injection volume was 5 \mu L. ESI conditions: gas temperature, 150ºC; drying gas, 13 L min--1; nebulizer, 35 psig; fragmentor, 400 V; and skimmer, 65 V. The instrument was set to acquire over the m/z range 100--1500 in full-scan mode with an acquisition rate of 4 spectra/sec. MS/MS was performed in targeted mode, and the instrument was set to acquire over the m/z range 50--1000, with a default isolation width (the width half-maximum of the quadrupole mass bandpass used during MS/MS precursor isolation) of 4 m/z. The collision energy was fixed at 20 V.</p> <p><strong>positive.mzXML & negative.mzXML - Complex Samples</strong></p> <p><em>Materials.</em></p> <p>MS1 grade methanol (MeOH) and acetonitrile (ACN) and analytical grade chloroform (CHCl3) were purchased from SDS (Peypin, France). Water was produced in an in-house Milli-Q purification system (Millipore, Molsheim, France). Formic acid and ammonium fluoride were purchased from Sigma-Aldrich (Steinheim, Germany).</p> <p><em>Experimental Animals.</em></p> <p>Irs-2-deficient mice were generated initially on a C57BL6/J: SV129 background and then backcrossed to establish a pure C57BL6/J background. Thus, the offspring resulting from the breeding of Irs-2(2/2) with RIP-Irs-2 line were C57BL6/J.</p> <p><em>Metabolite extraction method.</em></p> <p>Retinas were first lyophilized and metabolites were extracted adding 190 uL of MeOH and 120 uL of H2O, then vortex during 30 seconds. Afterwards, samples were frozen during 1 min in liquid nitrogen (N2) and thawed by cold sonication during 30 seconds. This step was applied three times. Then 380 uL of chloroform were added and vortexed during 30 seconds. Finally, samples were centrifuged (15000 rpm, 15 min a 4ºC). The supernatant was extracted and dried. The sample was suspended in 100 uL of H2O:MeOH (1:1) and stored at -80ºC until further analysis.</p> <p>MS1 analyses.</p> <p>MS1 analyses were performed using an UHPLC system (1290 series, Agilent Technologies) coupled to a 6550 ESI-QTOF MS (Agilent Technologies) operated in positive (ESI+) or negative (ESI-) electrospray ionization mode. Vials containing extracted metabolites were kept at -20ºC prior to MS1 analysis. When the instrument was operated in positive ionization mode, metabolites were separated using an Acquity UPLC (HSS T3) C18 reverse phase (RP) column (2.1 x 150 mm, 1.8 \mu m) and the solvent system was A1 = 0.1% formic acid in water and B1 = 0.1% formic acid in acetonitrile. When the instrument was operated in negative ionization mode, metabolites were separated using an Acquity UPLC (BEH) C18 RP column (2.1 x 150 mm, 1.7 \mu m) and the solvent system was A2 = 1 mM ammonium fluoride in water and B2 = acetonitrile. The linear gradient elution started at 100% A (time 0--2 min) and finished at 100% B (10-15 min). The injection volume was 5 \mu L. ESI conditions: gas temperature, 150ºC; drying gas, 13 L min--1; nebulizer, 35 psig; fragmentor, 400 V; and skimmer, 65 V. The instrument was set to acquire over the m/z range 100--1500 in full-scan mode with an acquisition rate of 4 spectra/sec. MS/MS was performed in targeted mode, and the instrument was set to acquire over the m/z range 50--1000, with a default isolation width (the width half-maximum of the quadrupole mass bandpass used during MS/MS precursor isolation) of 4 m/z. The collision energy was fixed at 20 V. positive.mzXML and negative.mzXML files correspond to LC-MS1 spectra obtained for positive and negative ionization, respectively.</p>
pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage - Validation data
<p>Image data used in the paper introducing pyKNEEr. Explanations about these data are in the <a href="https://github.com/sbonaretti/pyKNEEr/tree/master/publication">GitHub</a> repository</p> <p>Changes in version 0.2.0: </p> <p>- Added inHouse images </p> <p>- Segmented images casted to int16 for smaller file size</p>
Data and code used for 'Assessing the Accuracy of Activity Classification Using Thigh-Worn Accelerometry: A Validation Study of ActiPASS in School-Aged Children'
<p>This repository contains all data necessary to reproduce the results for the manuscript titled 'Assessing the Accuracy of Activity Classification Using Thigh-Worn Accelerometry: A Validation Study of ActiPASS in School-Aged Children'.</p>
Data for Quantitative Validation of Hypervelocity Impact Simulations Using Experimental Image Data
<p>Raw data used to generate the results in the publication, "Quantitative Validation of Hypervelocity Impact Simulations Using Experimental Image Data". Data consists of node positions from SPH simulations and experimental data images.</p>
Data and Validation Package for "On microservice JIT architectural changes..."
<p>CIMET Tool output for each project labled "output-{project}.xlsx"</p> <p>CIMET Tool validation for each project labled "{project}-validation.xlsx"</p>
D4.6- Validation of citizen science data
<p>This document is a deliverable of the SCORE project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101003534. The aim of this document is to outline the dual objectives essential to the success of the SCORE project: first, providing an overview of the methods and practices for validating citizen science data, and second, integrating these validated datawith institutional monitoring systems. Validating citizen science data is crucial to ensuring the accuracy and reliability of information collected by non-professional volunteers. Once validated, this data can be integrated into institutional systems to enhance environmental monitoring, particularly in urban coastal areas where detailed and localised data can significantly improve monitoring capabilities and decision-making.</p>
Computational modeling and analytical validation of singular geometric effects in fault data using a combinatorial approach - Input and processed data
<p>The archive contains the input and processed data for the companion manuscript.</p> <p>The input data contains XYZ coordinates of points documenting the investigated interfaces. The output datasets contain directional data from applying the combinatorial algorithm to point data sets.</p> <p>We have also included .VTU and .PVSM files for visualization of the geological settings in ParaView.</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.