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4,283 results for “Database”
Reference Windfarm database CNk4 30
<p>Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 30 degree inflow wind direction angle (Casename CNk4 30)</p> <p>Included Python files for loading and visualizing the data. Use the plot_*.py files.</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p><a href="https://cordis.europa.eu/project/id/727680/results">https://cordis.europa.eu/project/id/727680/results</a></p> <p>"Database for reference wind farms part 2: windfarm simulations"</p>
Reference Windfarm database PDk 30
<p>Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 30 degree inflow wind direction angle (Casename PDk 30)</p> <p>Included Python files for loading and visualizing the data. Use the plot_*.py files.</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p><a href="https://cordis.europa.eu/project/id/727680/results">https://cordis.europa.eu/project/id/727680/results</a></p> <p>"Database for reference wind farms part 2: windfarm simulations"</p>
Reference Windfarm database PDk 0
<p>Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 0 degree inflow wind direction angle (Casename PDk 0)</p> <p>Included Python files for loading and visualizing the data. Use the plot_*.py files.</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p><a href="https://cordis.europa.eu/project/id/727680/results">https://cordis.europa.eu/project/id/727680/results</a></p> <p>"Database for reference wind farms part 2: windfarm simulations"</p>
Reference Windfarm database CNk8 0
<p>Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 0 degree inflow wind direction angle (Casename CNk8 0)</p> <p>Included Python files for loading and visualizing the data. Use the plot_*.py files.</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p><a href="https://cordis.europa.eu/project/id/727680/results">https://cordis.europa.eu/project/id/727680/results</a></p> <p>"Database for reference wind farms part 2: windfarm simulations"</p>
Reference Windfarm database CNk2 60
<p>Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 60 degree inflow wind direction angle (Casename CNk2 60)</p> <p>Included Python files for loading and visualizing the data. Use the plot_*.py files.</p> <p>Further information, including description of the case and dataset can be found in the deliverable report at: </p> <p><a href="https://cordis.europa.eu/project/id/727680/results">https://cordis.europa.eu/project/id/727680/results</a></p> <p>"Database for reference wind farms part 2: windfarm simulations"</p>
Inelastic panel zone database
<p>1. <a href="https://zenodo.org/api/files/ab969b9b-667b-47f2-aa2e-24e2ffa53d5d/Inelastic_Panel_Zone_Database_v1.xlsx?versionId=3bedad71-6f00-45e0-bc1a-92d2bcd9205a">Inelastic_Panel_Zone_Database_v1.xlsx</a></p> <p>An inelastic panel zone database of fully restrained beam-to-column connection tests as part of steel moment-resisting frames (MRFs) is provided. The database consists of 100 tests of experimental research over the last 50 years. The collection and metadata methodology are thoroughly presented in Skiadopoulos and Lignos (2020).</p> <p>2. <a href="https://zenodo.org/api/files/ab969b9b-667b-47f2-aa2e-24e2ffa53d5d/Digitized_Data_v1.7z?versionId=59e73621-fb18-414e-997e-ea0231934ddc">Digitized_Data_v1.7z</a></p> <p>Full digitized histories of the local panel zone shear force - shear distortion as well as the global force - story drift ratio hysteretic diagrams of each experiment are provided. A MATLAB code to plot and acquire the performance parameters of interest is shared.</p> <p>3. <a href="https://zenodo.org/api/files/ab969b9b-667b-47f2-aa2e-24e2ffa53d5d/Panel_Zone_Deduced_Parameters_v1.m?versionId=90f42cf6-7573-40dc-b382-a1233cb8162c">Panel_Zone_Deduced_Parameters_v1.m</a></p> <p>A MATLAB code to automatically deduce the measured panel zone response parameters of interest is shared.</p> <p>4. <a href="https://zenodo.org/api/files/ab969b9b-667b-47f2-aa2e-24e2ffa53d5d/ABAQUS_Model_Validation_v1.7z?versionId=967b955d-b115-4194-b769-ea66d4385fcf">ABAQUS_Model_Validation_v1.7z</a></p> <p>The provided hysteretic responses are exploited for continuum finite element (CFE) model validation. Such a validated CFE model is shared (.inp) together with the respective buckling analysis files (.inp and .fil). The model represents SPEC-6 by Ricles et al. (2004) and was generated by ABAQUS.</p>
ASA³P Software & Database volume
<p>ASA³P is an automatic and highly scalable assembly, annotation and higher-level analyses pipeline for closely related bacterial isolates. <a href="https://github.com/oschwengers/asap">https://github.com/oschwengers/asap</a></p> <p>ASA³P is a fully automatic, locally executable and scalable assembly, annotation and higher-level analysis pipeline creating results in standard bioinformatics file formats as well as sophisticated HTML5 documents. Its main purpose is the automatic processing of NGS WGS data of multiple closely related isolates, thus transforming raw reads into assembled and annotated genomes and finally gathering as much information on every single bacterial genome as possible. Per-isolate analyses are complemented by comparative insights. Therefore, the pipeline incorporates many best-in-class open source bioinformatics tools and thus minimizes the burden of ever-repeating tasks. Envisaged as a preprocessing tool it provides comprehensive insights as well as a general overview and comparison of analysed genomes along with all necessary result files for subsequent deeper analyses. All results are presented via modern HTML5 documents comprising interactive visualizations.</p> <p>Schwengers et al, 2020 PLOS Comp Bio DOI:10.1371/journal.pcbi.1007134</p>
GRB assessment of the Saarbrücken Voice Database
<p>GRB evaluations of the Saarbruecken database. Annex to the paper: <em>Multimodal and multi-output deep learning architectures for the automatic assessment of voice quality using the GRB scale. </em></p> <p>Published in IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 14, NO. 2, FEBRUARY 2020: <strong>DOI: </strong><a href="https://doi.org/10.1109/JSTSP.2019.2956410">10.1109/JSTSP.2019.2956410</a> <br> </p> <p>If you use these labels please cite as:</p> <p>J. D. Arias-Londoño, J. A. Gómez-García and J. I. Godino-Llorente, "Multimodal and Multi-Output Deep Learning Architectures for the Automatic Assessment of Voice Quality Using the GRB Scale," in <em>IEEE Journal of Selected Topics in Signal Processing</em>, vol. 14, no. 2, pp. 413-422, Feb. 2020.</p>
Albero study: a longitudinal database of the social network and personal networks of a cohort of students at the end of high school
<p><strong>ABSTRACT</strong></p> <p>The Albero study analyzes the personal transitions of a cohort of high school students at the end of their studies. The data consist of (a) the longitudinal social network of the students, before (n = 69) and after (n = 57) finishing their studies; and (b) the longitudinal study of the personal networks of each of the participants in the research. The two observations of the complete social network are presented in two matrices in Excel format. For each respondent, two square matrices of 45 alters of their personal networks are provided, also in Excel format. For each respondent, both psychological sense of community and frequency of commuting is provided in a SAV file (SPSS). The database allows the combined analysis of social networks and personal networks of the same set of individuals.</p> <p><strong>INTRODUCTION</strong></p> <p>Ecological transitions are key moments in the life of an individual that occur as a result of a change of role or context. This is the case, for example, of the completion of high school studies, when young people start their university studies or try to enter the labor market. These transitions are turning points that carry a risk or an opportunity (Seidman & French, 2004). That is why they have received special attention in research and psychological practice, both from a developmental point of view and in the situational analysis of stress or in the implementation of preventive strategies.</p> <p>The data we present in this article describe the ecological transition of a group of young people from Alcala de Guadaira, a town located about 16 kilometers from Seville. Specifically, in the “Albero” study we monitored the transition of a cohort of secondary school students at the end of the last pre-university academic year. It is a turning point in which most of them began a metropolitan lifestyle, with more displacements to the capital and a slight decrease in identification with the place of residence (Maya-Jariego, Holgado & Lubbers, 2018).</p> <p>Normative transitions, such as the completion of studies, affect a group of individuals simultaneously, so they can be analyzed both individually and collectively. From an individual point of view, each student stops attending the institute, which is replaced by new interaction contexts. Consequently, the structure and composition of their personal networks are transformed. From a collective point of view, the network of friendships of the cohort of high school students enters into a gradual process of disintegration and fragmentation into subgroups (Maya-Jariego, Lubbers & Molina, 2019).</p> <p>These two levels, individual and collective, were evaluated in the “Albero” study. One of the peculiarities of this database is that we combine the analysis of a complete social network with a survey of personal networks in the same set of individuals, with a longitudinal design before and after finishing high school. This allows combining the study of the multiple contexts in which each individual participates, assessed through the analysis of a sample of personal networks (Maya-Jariego, 2018), with the in-depth analysis of a specific context (the relationships between a promotion of students in the institute), through the analysis of the complete network of interactions. This potentially allows us to examine the covariation of the social network with the individual differences in the structure of personal networks.</p> <p><strong>PARTICIPANTS</strong></p> <p>The social network and personal networks of the students of the last two years of high school of an institute of Alcala de Guadaira (Seville) were analyzed. The longitudinal follow-up covered approximately a year and a half. The first wave was composed of 31 men (44.9%) and 38 women (55.1%) who live in Alcala de Guadaira, and who mostly expect to live in Alcala (36.2%) or in Seville (37.7%) in the future. In the second wave, information was obtained from 27 men (47.4%) and 30 women (52.6%).</p> <p><strong>DATE STRUCTURE AND ARCHIVES FORMAT</strong></p> <p>The data is organized in two longitudinal observations, with information on the complete social network of the cohort of students of the last year, the personal networks of each individual and complementary information on the sense of community and frequency of metropolitan movements, among other variables.</p> <p><strong>Social network</strong></p> <p>The file “Red_Social_t1.xlsx” is a valued matrix of 69 actors that gathers the relations of knowledge and friendship between the cohort of students of the last year of high school in the first observation. The file “Red_Social_t2.xlsx” is a valued matrix of 57 actors obtained 17 months after the first observation.</p> <p>The data is organized in two longitudinal observations, with information on the complete social network of the cohort of students of the last year, the personal networks of each individual and complementary information on the sense of community and frequency of metropolitan movements, among other variables.</p> <p>In order to generate each complete social network, the list of 77 students enrolled in the last year of high school was passed to the respondents, asking that in each case they indicate the type of relationship, according to the following values: 1, “his/her name sounds familiar"; 2, "I know him/her"; 3, "we talk from time to time"; 4, "we have good relationship"; and 5, "we are friends." The two resulting complete networks are represented in Figure 2. In the second observation, it is a comparatively less dense network, reflecting the gradual disintegration process that the student group has initiated.</p> <p><strong>Personal networks</strong></p> <p>Also in this case the information is organized in two observations. The compressed file “Redes_Personales_t1.csv” includes 69 folders, corresponding to personal networks. Each folder includes a valued matrix of 45 alters in CSV format. Likewise, in each case a graphic representation of the network obtained with Visone (Brandes and Wagner, 2004) is included. Relationship values range from 0 (do not know each other) to 2 (know each other very well).</p> <p>Second, the compressed file “Redes_Personales_t2.csv” includes 57 folders, with the information equivalent to each respondent referred to the second observation, that is, 17 months after the first interview. The structure of the data is the same as in the first observation.</p> <p><strong>Sense of community and metropolitan displacements</strong></p> <p>The SPSS file “Albero.sav” collects the survey data, together with some information-summary of the network data related to each respondent. The 69 rows correspond to the 69 individuals interviewed, and the 118 columns to the variables related to each of them in T1 and T2, according to the following list:</p> <p> • Socio-economic data.</p> <p> • Data on habitual residence.</p> <p> • Information on intercity journeys.</p> <p> • Identity and sense of community.</p> <p> • Personal network indicators.</p> <p> • Social network indicators.</p> <p><strong>DATA ACCESS</strong></p> <p>Social networks and personal networks are available in CSV format. This allows its use directly with UCINET, Visone, Pajek or Gephi, among others, and they can be exported as Excel or text format files, to be used with other programs.</p> <p>The visual representation of the personal networks of the respondents in both waves is available in the following album of the <em>Graphic Gallery of Personal Networks</em> on Flickr: <<a href="https://www.flickr.com/photos/25906481@N07/albums/72157667029974755">https://www.flickr.com/photos/25906481@N07/albums/72157667029974755</a>>.</p> <p>In previous work we analyzed the effects of personal networks on the longitudinal evolution of the socio-centric network. It also includes additional details about the instruments applied. In case of using the data, please quote the following reference:</p> <ul> <li>Maya-Jariego, I., Holgado, D. & Lubbers, M. J. (2018). Efectos de la estructura de las redes personales en la red sociocéntrica de una cohorte de estudiantes en transición de la enseñanza secundaria a la universidad. <em>Universitas Psychologica, 17</em>(1), 86-98. <a href="https://doi.org/10.11144/Javeriana.upsy17-1.eerp">https://doi.org/10.11144/Javeriana.upsy17-1.eerp</a> </li> </ul> <p>The English version of this article can be downloaded from: <a href="https://tinyurl.com/yy9s2byl">https://tinyurl.com/yy9s2byl</a></p> <p><strong>CONCLUSION</strong></p> <p>The database of the “Albero” study allows us to explore the co-evolution of social networks and personal networks. In this way, we can examine the mutual dependence of individual trajectories and the structure of the relationships of the cohort of students as a whole. The complete social network corresponds to the same context of interaction: the secondary school. However, personal networks collect information from the different contexts in which the individual participates. The structural properties of personal networks may partly explain individual differences in the position of each student in the entire social network. In turn, the properties of the entire social network partly determine the structure of opportunities in which individual trajectories are displayed.</p> <p>The longitudinal character and the combination of the personal networks of individuals with a common complete social network, make this database have unique characteristics. It may be of interest both for multi-level analysis and for the study of individual differences.</p> <p><strong>ACKNOWLEDGEMENTS</strong></p> <p>The fieldwork for this study was supported by the Complementary Actions of the Ministry of Education and Science (SEJ2005-25683), and was part of the project “Dynamics of actors and networks across levels: individuals, groups, organizations and social settings” (2006 -2009) of the European Science Foundation (ESF). The data was presented for the first time on June 30, 2009, at the European Research Collaborative Project Meeting on Dynamic Analysis of Networks and Behaviors, held at the Nuffield College of the University of Oxford.</p> <p><strong>REFERENCES</strong></p> <p><strong>Brandes, U., & Wagner, D. (2004). </strong>Visone - Analysis and Visualization of Social Networks. In M. Jünger, & P. Mutzel (Eds.), <em>Graph Drawing Software</em> (pp. 321-340). New York: Springer-Verlag. </p> <p><strong>Maya-Jariego, I. (2018).</strong> Why name generators with a fixed number of alters may be a pragmatic option for personal network analysis. <em>American Journal of Community Psychology, 62</em>(1-2), 233-238. DOI 10.1002/ajcp.12271</p> <p><strong>Maya-Jariego, I., Holgado, D. & Lubbers, M. J. (2018).</strong> Efectos de la estructura de las redes personales en la red sociocéntrica de una cohorte de estudiantes en transición de la enseñanza secundaria a la universidad. <em>Universitas Psychologica, 17</em>(1), 86-98. https://doi.org/10.11144/Javeriana.upsy17-1.eerp</p> <p><strong>Maya-Jariego, I., Lubbers, M. J. & Molina, J. L. (2019).</strong> A friendship network in decay: The dynamics of social relationships of a secondary school cohort over the transition to university. <em>Remitido</em>.</p> <p><strong>Seidman, E., & French, S. E. (2004).</strong> Developmental trajectories and ecological transitions: A two-step procedure to aid in the choice of prevention and promotion interventions. <em>Development and Psychopathology, 16</em>(4), 1141-1159. https://doi.org/10.1017/s0954579404040179</p>
ANPERC-source/SEG_Annual: The database of words and affiliations of the SEG Annual Conferences (1982 - 2019)
<p>The database of words and affiliations of the SEG Annual Conferences (1982 - 2019) v1.0 This repository includes data for the words and phrases frequency of occurrence analysis "SEGgrams.sqlite" and the database "SEG_affiliations_data.sqlite" consisting of the industry companies and academia of different countries that presented their research during the Society of Explorational Geophysicists Annual Conferences (1982 - 2019) with the corresponding number of affiliations for the whole period of study.</p>
Full Virginia Girls' Reformatory Admissions Database 1910-1938
<p>This data set of 2,370 individual female reformatory inmates admitted to the Virginia Home and Industrial School for Girls at Bon Air and the Industrial Home School for Colored Girls at Peake’s Turnout between 1910 and 1938. Created out of the unpublished and archived admissions books of these institutions. Due to Virginia’s 75-year privacy restriction, I stopped collecting at December 1938 for each institution. Data from the Home at Bon Air runs from 1910 to 1938 and from the Home at Peake’s Turnout from 1915 to 1938. Each reformatory kept separate books, which were archived into individual collections. There was enough similarity between the two books to transcribe the data into one large data set.</p> <p>I have removed the names of the individual inmates upon publication.<strong> Researchers interested in using this data in their work can contact me at erin@erinbush.org to request versions that include complete name fields. The Data Dictionary is also available upon request.</strong></p> <p>The contents of these data sets, as government records, I believe fall under fair use.</p> <p><strong>Full Collection</strong></p> <ul> <li>Full Virginia Girls' Reformatory Admissions Database 1910-1938: <a href="https://zenodo.org/records/3872019">https://zenodo.org/records/3872019</a></li> <li>Full Virginia Girls' Reformatory Transfer and Dismissal Data 1910-1938: <a href="https://zenodo.org/records/3872110">https://zenodo.org/records/3872110</a></li> <li>Full Virginia Girls' Reformatory Parole Data 1910-1938: <a href="https://zenodo.org/records/3872100">https://zenodo.org/records/3872100</a></li> </ul>
WCSdb: A database of Wild Coffea Species.
<p>This the data table of the WCSdb: A database of Wild <em>Coffea</em> Species web site. The photo Gallery associated to this web site are available at <a href="https://dataverse.ird.fr/dataset.xhtml?persistentId=doi:10.23708/JZA8I2">https://doi.org/10.23708/JZA8I2</a> and the sequencing data at <a href="https://doi.org/10.23708/KWRIJJ%22%20%5Ct%20%22_blank">https://doi.org/10.23708/KWRIJJ</a></p> <p>Coffee is a beverage enjoyed by millions of people worldwide and an important commodity for millions of people. Beside the two cultivated species (<em>Coffea arabica</em> and <em>Coffea canephora</em>), the 139 wild coffee species belong to the <em>Coffea</em> genus are largely unknown to coffee scientists and breeders although these species may be crucial for future coffee crop development to face climate changes. Here we present the Wild Coffee Species database (WCSdb) hosted by Pl@ntNet platform (<a href="http://publish.plantnet-project.org/project/wildcofdb_en">http://publish.plantnet-project.org/project/wildcofdb_en</a>), providing information for 140 coffee species, for which 84 contain a photo gallery and 82 contain sequencing data (GBS, chloroplast or whole genome sequences). The objective of this database is to better understand and characterize the species (identification, morphology, biochemical compounds, genetic diversity, sequence data) in order to better protect and promote them. </p>
U.S. Surf-camera Database
<p>This csv file provides the approximate street address, latitude/longitude (WGS 84), and sponsor type of 327 (and growing) surf-cameras in the United States with viewable imagery. The provided web link (in the 'Related Identifiers' section at the right of this page) links to an interactive web-map of these data, where individuals surf-cams can be queried and are linked to their imagery-source web location.</p>
SARS-COV2 Spike Glycopeptide Mass-Retention Time PCDL database
<p>Contains accurate mass, HPLC retention time, peptide sequence, glycan structure and mass spectra for over 400 glycopeptides from elastase digestion of SARS-COV2 Spike antigen and receptor binding domain. The database is used as part of the Mass-Retention Time Fingerprinting method to characterise Spike glycans as described in the BioRxiv preprint “Identification, Mapping and Relative Quantitation of SARS-Cov2 Spike Glycopeptides by Mass-Retention Time Fingerprinting”</p>
Acute Respiratory Distress Syndrome-Database of Genes (ARDS-DB)
<p>To better understand the gene level associations that are most relevant to Acute Respiratory Distress Syndrome (ARDS), a comprehensive resource is needed. There’s currently no freely available database dedicated to ARDS that provides comprehensive gene lists from experimentally verifiable studies, gene function, gene location, and additional metadata for tracking related link out resources. The need for such a database is only accentuated by the steep rise in ARDS cases due to the 2020 Coronavirus pandemic, in which infected patients admitted to the ICU develop ARDS at a rate of 67% to 85%, calling for an increase into ARDS research. </p> <p>Our goal was to develop such a resource for use by the scientific community to enhance our studies of ARDS and associated genes. Our first step was to perform data mining and curation of scientific literature through a robust review process. Subsequent steps enabled us to refine our data by capturing specific metadata and incorporating these into our database. The version 1 of the database will provide users with access to the database flat file with current genes, gene location, chromosomal information, and more in a freely accessible and downloadable format. Future project goals are to develop a standalone web portal that will integrate the gene level information with network analysis, and other visualizations for users. </p> <p> </p>
Code and data for SylvanSeeds, a seed germination database for temperate deciduous forests
<p>This is a version of record of the manuscript's data and code as accepted by the Journal of Vegetation Science.</p>
Albero study: a longitudinal database of the social network and personal networks of a cohort of students at the end of high school
<p>The Albero study analyzes the personal transitions of a cohort of high school students at the end of their studies. The data consist of (a) the longitudinal social network of the students, before (n = 69) and after (n = 57) finishing their studies; and (b) the longitudinal study of the personal networks of each of the participants in the research. The two observations of the complete social network are presented in two matrices in Excel format. For each respondent, two square matrices of 45 alters of their personal networks are provided, also in Excel format. For each respondent, both psychological sense of community and frequency of commuting is provided in a SAV file (SPSS). The database allows the combined analysis of social networks and personal networks of the same set of individuals.</p> <p><strong>INTRODUCTION</strong></p> <p>Ecological transitions are key moments in the life of an individual that occur as a result of a change of role or context.</p>
PHOTOMECHANICS: database
<p>The <a href="https://fm2.udu.cas.cz/fmi/webd#">database Photomechanics</a> of early photomechanical prints, plates, reproductions and other relevant period documents identified in public and private collections is supposed to be used for study and further research. It is updated regularly.</p>
Natural Lake Database in China in 2015 (NLD_China2015)
<p>The first database of natural lakes with an area > 0.01 km<sup>2</sup> in China in 2015 (NLD_China2015). The database was manually developed in reference to the existing lake inventories, reservoir datasets, and high-resolution images from Google Earth.</p> <p>The details of the NLD_China2015 is described in "<a href="https://zenodo.org/api/files/9e400087-179e-433e-8b59-3b9348557542/LakeDatabase_China2015_Readme_V1.0.docx">LakeDatabase_China2015_Readme_V1.0.docx</a>".</p>
What do studies in wild mammals tell us about human emerging viral diseases in Mexico? database
<p>The database used in the article "<strong>What do studies in wild mammals tell us about human emerging viral diseases in Mexico?</strong>". It contains all available records of viral zoonotic and potential zoonotic species in Mexican wild mammals.</p> <p>The first file is a .csv file and the second one is .xls</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.