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47,155 results for “evaluations”
Richness and resilience in the Pacific: DNA metabarcoding enables parallelized evaluation of biogeographic patterns
<p><span>Islands make up a large proportion of Earth's biodiversity, yet are also some of the most sensitive systems to environmental perturbation. Biogeographic theory predicts that geologic age, area, and isolation typically drive islands' diver</span><span>sity patterns, and thus potentially impact non-native spread and community homogenization across island systems. One limitation in testing such predictions has been the difficulty of performing comprehensive inventories of island biotas and distinguishing native from introduced taxa. Here, we use DNA metabarcoding and statistical modeling as a high throughput method to survey community-wide arthropod richness, the proportion of native and non-native species, and the incursion of non-natives into primary habitats on three archipelagos in the Pacific - the Ryukyus, the Marianas and Hawaii - which vary in age, isolation and area. Diversity patterns largely match expectations based on island biogeography theory, with the oldest and most geographically connected archipelago, the Ryukyus, showing the highest taxonomic richness and the lowest proportion of introduced species. Moreover, we find evidence that forest habitats are more resilient to incursions of non-natives in the Ryukyus than in the less taxonomically rich archipelagos. Surprisingly, we do not find evidence for biotic homogenization across these three archipelagos: the assemblage of non-native species on each island is highly distinct. Our study demonstrates the potential of DNA metabarcoding to facilitate rapid estimation of biogeographic patterns, the spread of non-native species, and the resilience of ecosystems.</span></p>
METASHIFT: A DATASET OF DATASETS FOR EVALUATING CONTEXTUAL DISTRIBUTION SHIFTS
<p>Understanding the performance of machine learning models across diverse data distributions is critically important for reliable applications. Motivated by this, there is a growing focus on curating benchmark datasets that capture distribution shifts. In this work, we present MetaShift—a collection of 12,868 sets of natural images across 410 classes—to address this challenge. We leverage the natural heterogeneity of Visual Genome and its annotations to construct MetaShift. The key construction idea is to cluster images using its metadata, which provides context for each image (e.g. cats with cars or cats in bathroom) that represent distinct data distributions. MetaShift has two important benefits: first, it contains orders of magnitude more natural data shifts than previously available. Second, it provides explicit explanations of what is unique about each of its data sets and a distance score that measures the amount of distribution shift between any two of its data sets. Importantly, to support evaluating ImageNet trained models on MetaShift, we match MetaShift with ImageNet hierarchy. The matched version covers 867 out of 1,000 classes in ImageNet-1k. Each class in the ImageNet-matched Metashift contains 2301.6 images on average, and 19.3 subsets capturing images in different contexts. We also propose a method to construct tasks on the matched version, giving an example to construct 19,024 binary classification tasks on it.</p>
ssdeeper: Evaluating and Improving ssdeep
<p>This is the dataset we used in the evaluation of our paper “ssdeeper: Evaluating and Improving ssdeep”.</p>
Data of Mitochondrial respirometric data of adult males of Octopus maya: supporting the method to evaluate heart metabolic activity
<p>Mitochondrial respirometry is key to understanding how environmental factors model energetic cellular processes. Until now, no reports have shown temperature effects and other environmental variables on cephalopod mitochondria activity because of the lack of a method to evaluate mitochondrial respiratory parameters on those groups of species. In this sense and for the first time, it showed the mitochondrial respirometry data of adult Octopus maya’s heart. Following the protocol is illustrated a step-by-step procedure to get the corresponding respiratory parameters. </p>
An Empirical Evaluation of Competitive Programming AI: A Case Study of AlphaCode
<p><strong>Abstract</strong><br> AlphaCode, the code generation system by DeepMind, is an AI technology for assisting software developers in solving competitive programming problems using natural language problem descriptions.<br> However, there is no existing work comparing AlphaCode-generated codes with human codes.<br> In this paper, we conduct an empirical study to find code similarities and performance differences between AlphaCode-generated codes and human codes.<br> We collect 44 generated codes in C++ and Python languages from AlphaCode official website that solve 22 problems on Codeforces.<br> We then retrieve 31,736 human codes by using Codeforces API.<br> The results show that (i) the generated code from AlphaCode and the human code is not similar (i.e., the similarity of 0.26 for both C++ and Python), however, the code fragments in the generated code are comprised of various human codes (i.e., uniqueness of 3.30\% and 8.94\% for C++ and Python respectively) and<br> (ii) the generated code performs on par with or worse than the human code in terms of execution time and memory usage.<br> Moreover, AlphaCode employs excessive nested loops and unnecessary variable declarations (e.g., used \textit{long long} instead of \textit{int}), which causes a low performance regarding our manual investigation.</p>
Finding Reliable Sources: Evaluation Datasets
<p><strong>Finding Reliable Sources</strong> (<strong>FRS</strong>) is an NLP/ML task, in which, given a single-sentence claim, we aim to automatically find reliable sources that could be used to confirm or refute it. This repository includes evaluation datasets that could be used to train and test solution for this problem. Datasets are organised as large collections of individual records, each consisting of (1) a claim expressed a short text fragment and (2) a list of identifiers (DOI, ISBN, arXiv ID or URL) of reliable sources associated with it.</p> <p>Two datasets are included:</p> <ul> <li>Claim-Source Pairing Dataset (CSP) contains 32 million textual contexts paired with 24 million source identifiers mined from English Wikipedia,</li> <li>FEVER-FRS contains 15,798 claims gathered for the <a href="https://fever.ai/">FEVER shared task</a>, supplemented with source identifiers using Wikipedia.</li> </ul> <p>The data were gathered within a study described in the article <em>"Countering Disinformation by Finding Reliable Sources: a Citation-Based Approach"</em>, presented at the 2022 International Joint Conference on Neural Networks (IJCNN 2022). Please refer to the article (in <a href="https://doi.org/10.1109/IJCNN55064.2022.9891941">conference proceedings</a> or <a href="https://home.ipipan.waw.pl/p.przybyla/bib/Learning_to_Cite_3_CR.pdf">authors' version</a>) for more information on the FRS task, data collection procedures and evaluation results. The research was done within the <a href="https://homados.ipipan.waw.pl/">HOMADOS</a> project at the <a href="https://ipipan.waw.pl/">Institute of Computer Science</a>, Polish Academy of Sciences.</p> <p>The datasets described here are based on the <a href="https://doi.org/10.5281/zenodo.6539054">Wikipedia Complete Citation Corpus</a> (WCCC), which also includes the train/test split for CSP.</p> <p>The CSP dataset is uploaded in three variants, using different text fragments as 'context'. In '<strong>s</strong>', the context consists of a single sentence preceding (or containing) a citation. The '<strong>ts</strong>' variant additionally includes a title of the Wikipedia article, while '<strong>ss</strong>' contains two sentences preceding a citation. Each variant contains subsequently numbered TSV files, including lines with the following values:</p> <ul> <li>document ID (see <a href="http://doi.org/10.5281/zenodo.6539054">WCCC</a> for full document metadata),</li> <li>textual context,</li> <li>a list of (at least one, possibly many) source identifiers.</li> </ul> <p>The FEVER-FRS dataset was created based on the <a href="https://fever.ai">FEVER shared task</a> data. In the original dataset, each claim is matched with a set of 'evidence' sentences from Wikipedia that either support or refute it. For the purpose of evaluating FRS solutions, we replaced each evidence sentence with the identifiers to external sources that are cited alongside it. This was not always possible (e.g. for Wikipedia sentences with no sources, see the paper for details), but we managed to find 4414 and 11384 claims that are, respectively, refuted or supported by the provided sources.</p> <p>Each line of the FEVER-FRS TSV files contains the following:</p> <ul> <li>text of a short claim,</li> <li>a list of (at least one, possibly many) source identifiers.</li> </ul> <p>The source code code for generating both datasets (CSP from Wikipedia and FEVER-FRS from FEVER) can be obtained from a <a href="https://github.com/piotrmp/finding_reliable_sources">GitHub repository</a>.</p>
Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions
<p>This repo includes the GEOS-Chem simulations and R scripts that are needed to replicate and evaluate the conclusions from Qiu, Zigler, and Selin, ACP, 2022 "Statistical and machine learning methods for evaluating trends in air quality under changing meteorological conditions".</p> <p><strong>The GEOS-Chem simulations</strong></p> <ul> <li>For the US (2011-2017): <ul> <li><em>observational_o3_pm_2011_2017_us.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions).</li> <li><em>counterfactual_o3_pm_2011_2017_us.rds</em><em>:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions).</li> <li><em>constant_emis_o3_pm_2012_2017_us.rds: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions).</li> <li><em>regional_features_2011_2017_4x5_us.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model.</li> </ul> </li> <li>For China (2013-2017): <ul> <li><em>observational_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the observational scenarios (<strong>changing</strong> meteorology, <strong>changing </strong>emissions).</li> <li><em>counterfactual_o3_pm_2013_2017_china.rds:</em> the simulated daily PM2.5 and O3 concentrations, and MERRA-2 meteorological features in the counterfactual scenarios (<strong>constant</strong> meteorology, <strong>changing</strong> emissions).</li> <li><em>constant_emis_o3_pm_2014_2017_china.rds</em><em>: </em>the simulated daily PM2.5 and O3 concentrations in the constant-emission scenarios (<strong>constant</strong> meteorology, <strong>constant</strong> emissions).</li> <li><em>regional_features_2013_2017_4x5_china.rds: </em>the MERRA-2 meteorological features in the observational scenarios (aggregated to 4x5 degrees), inputs for the "RF-regional" model.</li> </ul> </li> </ul> <p><strong>R scripts:</strong></p> <ul> <li><a href="https://zenodo.org/api/files/065be469-ef8d-4c9b-9bd8-a6a808275237/main.r">main.r</a>: the main script to perform statistical correction of meteorological variability.</li> <li>main.r uses functions from the other R script files (see below) which perform different statistical correction methods, respectively. </li> <li><a href="https://zenodo.org/api/files/065be469-ef8d-4c9b-9bd8-a6a808275237/parametric_regression_methods.r">parametric_regression_methods.r</a>: performs meteorological correction with parametric regression methods (MLR, polynomial, spline, GAM)</li> <li><a href="https://zenodo.org/api/files/065be469-ef8d-4c9b-9bd8-a6a808275237/tune_RF_regional.r">tune_RF_regional.r</a> and <a href="https://zenodo.org/api/files/065be469-ef8d-4c9b-9bd8-a6a808275237/RF_regional.r">RF_regional.r</a>: perform the meteorological correction with the "RF-regional" model</li> <li><a href="https://zenodo.org/api/files/065be469-ef8d-4c9b-9bd8-a6a808275237/GEOS_Chem_constant_emis.r">GEOS_Chem_constant_emis.r</a>: performs the meteorological correction using the simulations from the constant emission scenarios from the GEOS-Chem model</li> </ul> <p> </p>
Haptic Reality - Evaluation data
<p>Raw data collected in the evaluation of the new interaction technique for force feedback desktop haptic devices called Haptic Reality.</p>
THREE-DIMENSIONAL VOLUMETRIC EVALUATION OF ROOT RESORPTION IN MAXILLARY ANTERIORS FOLLOWING EN-MASSE RETRACTION WITH VARYING FORCE VECTORS - A RANDOMIZED CONTROL TRIAL
<p>To assess the severity of root resorption (RR) during retraction of maxillary anteriors with and without skeletal anchorage (three different force systems); and analyze it comprehensively using cone-beam computed tomography (CBCT) superimpositions.</p>
The visualization of the collected data corresponding to the following paper: "The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate Hearing, Communication, and Conversation disability: multinational experts' and patients' perspectives"
<p>These two PDF files include the data collected for a study conducted by Afghah et.al, 2022. They include the responses of the participant in this study to a newly developed self-rated ICF-based questionnaire. One file includes the responses to 30 demographic questions and the other one 88 ICF-based questions. The presented data were collected in Germany, the USA, and Egypt as well as overall data.</p> <p>The design of the questionnaire is described here:<br> Afghah, T., Alfakir, R., Meis, M., van Leeuwen, L. M., Kramer, S. E., Hammady, M., Youssif, M., & Wagener, K. C. (2021). The development of a Self-Rated ICF-based questionnaire (HEAR-COMMAND Tool) to evaluate hearing, communication, and conversation disability: multinational experts' and patients' perspectives. Zenodo. https://doi.org/10.5281/zenodo.5534360.</p> <p>This study was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project ID: 352015383 – SFB 1330, C4.</p>
An evaluation of fusion partner proteins for paratransgenesis in Asaia bogorensis
<p>Mosquitoes transmit many pathogens responsible for human disease, such as malaria which is caused by parasites in the genus <em>Plasmodium</em>. Current strategies to control vector-transmitted diseases are increasingly undermined by mosquito and pathogen resistance, so additional methods of control are required. Paratransgenesis is a method whereby symbiotic bacteria are genetically modified to affect the mosquito's phenotype by engineering them to deliver effector molecules into the midgut to kill parasites. One paratransgenesis candidate is <em>Asaia</em> <em>bogorensis</em>, a Gram-negative bacterium colonizing the midgut, ovaries, and salivary glands of <em>Anopheles</em> <em>sp</em>. mosquitoes. Previously, engineered <em>Asaia</em> strains using native signals to drive the release of the antimicrobial peptide, scorpine, fused to alkaline phosphatase were successful in significantly suppressing the number of oocysts formed after a blood meal containing <em>P</em>. <em>berghei</em>. However, these strains saw high fitness costs associated with the production of the recombinant protein. Here, we report evaluation of five different partner proteins fused to scorpine that we evaluated for effects on the growth and fitness of the transgenic bacteria. Three of the new partner proteins resulted in significant levels of protein released from the <em>Asaia</em> bacterium while also significantly reducing the prevalence of mosquitoes infected with <em>P</em>. <em>berghei</em>. Two partners performed as well as the previously tested <em>Asaia</em> strain that used alkaline phosphatase in the fitness analyses. We interpret these results to indicate that there is a maximum level of fitness and parasite inhibition that can be achieved with scorpine being driven constitutively, and that use of a <em>Plasmodium</em> specific effector molecule in place of scorpine would help to mitigate the stress on the symbionts.</p>
The dataset for an article - An Evaluation of 3D-Printed Materials' Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data
<p>Dataset used in the research presented in the article:</p> <p>Szymanik, Barbara. 2022. "An Evaluation of 3D-Printed Materials’ Structural Properties Using Active Infrared Thermography and Deep Neural Networks Trained on the Numerical Data" <em>Materials</em> 15, no. 10: 3727. https://doi.org/10.3390/ma15103727</p> <p>The database in the .mat (matlab) format contains arrays of double type related to: A - original thermograms obtained for the plate made with the 3D printing technique Ar - thermograms with ROI included FITorg - approximation of original thermograms ImDiff, ImInt, ImProp - data obtained after subtracting the approximation.</p>
Automated systematic evaluation of cryo-EM specimens with SmartScope - Training data for hole detector
<p>Training data for hole detector<br> =======================</p> <p>This dataset includes 36 images.<br> Circles are annotated in COCO format.</p> <p>The following pre-processing was applied to each image:<br> * Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 1 versions of each source image:<br> * 50% probability of horizontal flip</p>
Automated systematic evaluation of cryo-EM specimens with SmartScope - Training data for square detector
<p>Training data for square detector<br> =========================</p> <p>This dataset includes 26 images.<br> Squares are annotated in COCO format.</p> <p>The following pre-processing was applied to each image:<br> * Auto-orientation of pixel data (with EXIF-orientation stripping)</p> <p>The following augmentation was applied to create 1 versions of each source image:<br> * 50% probability of horizontal flip<br> * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise</p>
Evaluation of the local sea-level budget at tide gauges since 1958
<p>### Data supplement for 'Evaluation of the local sea-level budget at tide gauges since 1958'</p> <p><br> Authors: Jinping Wang, John A. Church, Xuebin Zhang, Jonathan M. Gregory, Laure Zanna and Xianyao Chen</p> <p>Created 9/5/2020<br> Please email wangjinping@ouc.edu for questions.</p> <p>----------------------------------------------------------------------------------------------------<br> ### PLEASE CITE THE APPROPRIATE PAPERS WHEN USING THIS DATA ###<br> Please cite 'Evaluation of the local sea-level budget at tide gauges since 1958' when using this data set.<br> Our results heavily relies on previous work, and please acknowledge the previous work by citing the original sources of the data.<br> The Data Availability Statement section of 'Evaluation of the local sea-level budget at tide gauges since 1958' contains the full list of sources of all the original data.</p> <p>----------------------------------------------------------------------------------------------------<br> This data supplement contains the following files:</p> <p>separate_components_rsl.mat <br> Spatial patterns of relative sea level trend (mm/yr) are provided for individual component.</p> <p>lon = longitude<br> lat = latitude<br> sdsl = sterodynamic sea level<br> barystatic_grd = the sum of all barystatic-GRD fingerprints<br> glacier = glacier contribution including charted and uncharted glaciers<br> ice_sheet = the sum of Greenland and Antarctic ice sheets<br> gia = glacial isostatic adjustment<br> tws = terrestrial water storage<br> sum = the sum of all contributions</p> <p><br> GMSL.mat<br> Global mean time series of sea level and each components (mm).</p> <p>The variable names are the same with those in separate_components_rsl.mat <br> recons_mean = the ensemble mean of GMSL reconstructions (including Church & White, 2011; Dangendorf et al., 2019; Frederikse et al., 2020; Hay et al., 2015)</p> <p><br> components_TG_locations.mat<br> All tide gauge observations and the individual contribution (mmm/yr).</p> <p>The variable names are the same with those in separate_components_rsl.mat <br> tgobs = tide gauge observations<br> tgobs_ovlm = tide gauge observations with other VLM correction applied</p> <p><br> VLM_components.mat<br> VLM estimate and its individual components (mm/yr).</p> <p>vlm_total = total VLM<br> vlm_bgrd = barystatic-GRD VLM component<br> vlm_gia = GIA-related VLM component<br> vlm_other = other local VLM component</p> <p>vlm_total_uncertianty90 = 90% confidence level for total VLM<br> vlm_bgrd = 90% confidence level for barystatic-GRD VLM component<br> vlm_gia = 90% confidence level for GIA-related VLM component<br> vlm_other = 90% confidence level for other local VLM component</p>
Data for: Marking through moults: An evaluation of visible implant elastomer to permanently mark individuals in a lower termite species
<p class="FirstParagraph">1. Advances in individual marking methods have facilitated detailed studies of animal populations and behaviour as they allow tracking of individuals through time and space. Hemimetabolous insects, representing a wide range of commonly-used model organisms, present a unique challenge to individual marking as they are not only generally small-bodied, but also moult throughout development, meaning that traditional surface marks are not persistent.</p> <p class="FirstParagraph">2. Visible implant elastomer (VIE) offers a potential solution as small amounts of the inert polymer can be implanted under the skin or cuticle of an animal. VIE has proved useful for individually marking fish, crustaceans and amphibians in both field and laboratory studies, and has recently been successfully trialled in laboratory populations of worms and fly larvae. We trialled VIE in the single-piece nesting termite <i>Zootermopsis angusticollis</i>, a small hemimetabolous insect.</p> <p class="FirstParagraph">3. We found that there was no effect of VIE on survival and that marks persisted following moulting. However, we found some evidence that marked termites performed less allogrooming and trophallaxis than controls, although effect sizes were very small.</p> <p class="FirstParagraph">4. Our study suggests that VIE is an effective technique for marking small hemimetabolous insects like termites but we advocate that caution is applied, particularly when behavioural observation is important.</p>
Dataset for the article "PERFORMANCE EVALUATION OF AN IMAGING RADIATION PORTAL MONITOR SYSTEM"
<p>The dataset includes root files used in generating the main figures for the article "PERFORMANCE EVALUATION OF AN IMAGING RADIATION PORTAL MONITOR SYSTEM" by Jana Vasiljević, Alf Göök and Bo Cederwal. The article will be submitted to MDPI Applied Sciences.</p> <p> </p>
A method to evaluate body length of live aquatic vertebrates using digital images
<p>Traditional methods to measure body lengths of aquatic vertebrates rely on anesthetics, and extended handling times. These procedures can increase stress, potentially affecting the animal's welfare after its release. We developed a simple procedure using digital images to estimate body lengths of coastal cutthroat trout (<i>Oncorhynchus clarkii clarkii</i>) and larval coastal giant salamander (<i>Dicamptodon tenebrosus</i>). Images were post-processed using ImageJ2. We measured more than 1,800 individuals of these two species from 200 pool habitats along 9.6 river kilometers. The percent error (mean ± SE) of our approach compared to the use of a traditional graded measuring board was relatively small for all metrics of the two species. Total length of trout was -2.2% ± 1.0. Snout-vent length and total length of larval salamanders was 3.5% ± 3.3 and -0.6% ± 1.7, respectively. We cross-validated our results by two independent observers that followed our protocol to measure the same animals and found no significant differences (<i>p</i> > 0.7) in body size distributions for all metrics of the two species. Our procedure provides reliable information of body size reducing stress and handling time in the field. The method is transferable across taxa and the inclusion of multiple animals per image increases sampling efficiency with stored images that can be reviewed multiple times. This practical tool can improve data collection of animal size over large sampling efforts and broad spatiotemporal contexts.</p>
Feasibility of urban bird and nest amount evaluation by the street view image virtual survey
<p>The use of Street View maps in urban bird and nest surveys is worth exploring. Using Baidu Street-View (BSV) map, 49338 seamless spherical photos of 2741 sites were collected in Qingdao. Study evaluated the effectiveness and reproducibility of birds and nests using three observation angles and four experimenters. The BSV method and citizen science data were compared to evaluate their spatial distribution consistency. The BSV time machine is used to assess them time dynamics. The environment of the sampling sites with birds or nests was also surveyed information and evaluated the optimal environment. BSV photos can identify bird and nest, and different people had high repeatability on the evaluations. Bird nests selection middle-view BSV images could save 2/3 time used in the checks with >93% precision. Most citizen bird-watching sites overlapped or were close to nest hotspot areas from the BSV method and nests were more prevalent. The BSV time machine is suitable for investigating bird's nests. Nests and birds are more likely to be found in the leafless early spring, on large, traffic-dense coastal streets with complex vertical tree structures, and around tall buildings. For further urban bird research and conservation, this approach provides a pre-experimental and informative supplement.</p>
Fruit Yield and Quality Evaluation of Nongrafted and Grafted Cantaloupe in a Mediterranean-type Climate
<p>Cultivars, abbreviation, seed source, and sowing date of cantaloupe and rootstock cultivars used for grafted and nongrafted treatments at Mount Vernon, WA, in 2020 and 2021.</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.