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48 results for “Eure”
Unsolved networks for use in pypsa-eur-ukraine
<p>9 node Ukrainian electricity network at 3 hour and 1 hour time resolutions, 1 year. </p>
EUR-1000G
<p>These data are prepared in the BALDER project funded by the ODIN platform. ODIN is sponsored by the Novo Nordisk Foundation (grant number NNF20SA0061466)</p>
Data Bundle for PyPSA-Eur-Sec: A Sector-Coupled Open Optimisation Model of the European Energy System
<p>While small data files used in PyPSA-Eur-Sec are included directly in the git repository, larger ones are collected in this data bundle. The data bundle’s size is around 680 MB.</p> <p><strong>Licenses</strong></p> <p>Different licenses apply to the various components of this data bundle (mostly attribution).</p> <p>For details see <a href="https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements">https://pypsa-eur-sec.readthedocs.io/en/latest/installation.html#data-requirements</a></p> <p><strong>Changelog 0.3.1</strong></p> <ul> <li>Fix IRENASTAT encoding</li> </ul> <p><strong>Changelog 0.3.0</strong></p> <ul> <li>Add <a href="https://pxweb.irena.org/pxweb/en/IRENASTAT">IRENASTAT</a> country-level power generation capacities.</li> </ul> <p><strong>Changelog 0.2.0</strong></p> <ul> <li>add hydrogen salt cavern storage potential (h2_salt_caverns_GWh_per_sqkm.geojson)</li> </ul> <p> </p>
European power system infrastructure in the open energy system model PyPSA-Eur
<p>The image is created using the data and scripts in the European open energy system model <a href="https://github.com/PyPSA/pypsa-eur">PyPSA-Eur.</a></p>
Safety and Tolerability Study of Oral EUR-1100 to Treat Eosinophilic Esophagitis
ClinicalTrials.gov study NCT01386112. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data Bundle for PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p><strong>PyPSA-Eur</strong> is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at <a href="https://github.com/PyPSA/PyPSA-eur">https://github.com/PyPSA/PyPSA-eur</a>.</p> <p><strong>It contains</strong> alternating current lines at and above 220 kV voltage level and all high voltage direct current lines, substations, an open database of conventional power plants, time series for electrical demand and variable renewable generator availability, and geographic potentials for the expansion of wind and solar power.</p> <p><strong>Not all data dependencies</strong> are shipped with the <a href="https://github.com/PyPSA/PyPSA-eur">code repository</a>, since git is not suited for handling large changing files. Instead we provide separate <strong>data bundles</strong> to be downloaded and extracted as noted in the <a href="https://pypsa-eur.readthedocs.io/en/latest/installation.html">documentation</a>.</p> <p>This is the <strong>full</strong> data bundle to be used for rigorous research. It includes large bathymetry and natural protection area datasets.</p> <p>While the <a href="https://github.com/PyPSA/PyPSA-eur">code</a> in PyPSA-Eur is released as free software under the MIT, <strong>different licenses and terms of use</strong> apply to the various input data, which are summarised below:</p> <p><strong>corine/*</strong></p> <ul> <li>CORINE Land Cover (CLC) database</li> <li><strong>Source:</strong> <a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012/</a></li> <li><strong>Terms of Use: </strong><a href="https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata">https://land.copernicus.eu/pan-european/corine-land-cover/clc-2012?tab=metadata</a></li> </ul> <p><strong>natura/*</strong></p> <ul> <li>Natura 2000 natural protection areas</li> <li><strong>Source:</strong> <a href="https://www.eea.europa.eu/data-and-maps/data/natura-10">https://www.eea.europa.eu/data-and-maps/data/natura-10</a></li> <li><strong>Terms of Use:</strong><a href="https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata"> https://www.eea.europa.eu/data-and-maps/data/natura-10#tab-metadata</a></li> </ul> <p><strong>gebco/GEBCO_2014_2D.nc</strong></p> <ul> <li>GEBCO bathymetric dataset</li> <li><strong>Source:</strong> <a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/">https://www.gebco.net/data_and_products/gridded_bathymetry_data/version_20141103/</a></li> <li><strong>Terms of Use: </strong><a href="https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf">https://www.gebco.net/data_and_products/gridded_bathymetry_data/documents/gebco_2014_historic.pdf</a></li> </ul> <p><strong>je-e-21.03.02.xls</strong></p> <ul> <li>Population and GDP data for Swiss Cantons</li> <li><strong>Source:</strong> <a href="https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html">https://www.bfs.admin.ch/bfs/en/home/news/whats-new.assetdetail.7786557.html</a></li> <li><strong>Terms of Use: <br></strong></li> <li><a href="https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html">https://www.bfs.admin.ch/bfs/en/home/fso/swiss-federal-statistical-office/terms-of-use.html</a></li> <li><a href="https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html">https://www.bfs.admin.ch/bfs/de/home/bfs/oeffentliche-statistik/copyright.html</a></li> </ul> <p><strong>nama_10r_3popgdp.tsv.gz</strong></p> <ul> <li>Population by NUTS3 region</li> <li><strong>Source:</strong> <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en">http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=nama_10r_3popgdp&lang=en</a></li> <li><strong>Terms of Use:</strong></li> <li><a href="https://ec.europa.eu/eurostat/about/policies/copyright">https://ec.europa.eu/eurostat/about/policies/copyright</a></li> </ul> <p><strong>GDP_per_capita_PPP_1990_2015_v2.nc</strong></p> <ul> <li>Gross Domestic Product per capita (PPP) from years 1999 to 2015</li> <li>Rectangular cutout for European countries in PyPSA-Eur, including a 10 km buffer</li> <li>Kummu et al. "Data from: Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015"</li> <li><strong>Source:</strong> https://doi.org/10.1038/sdata.2018.4 and associated dataset https://doi.org/10.1038/sdata.2018.4</li> </ul> <p><strong>ppp_2019_1km_Aggregated.tif</strong></p> <ul> <li>The spatial distribution of population in 2020: Estimated total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 30 arc (approximately 1km at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.</li> <li>Rectangular cutout for non-NUTS3 countries in PyPSA-Eur, i.e. MD and UA, including a 10 km buffer</li> <li>WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00647</li> <li><strong>Source:</strong> https://data.humdata.org/dataset/worldpop-population-counts-for-world and https://hub.worldpop.org/geodata/summary?id=24777</li> <li><strong>License: </strong>Creative Commons Attribution 4.0 International Licens</li> </ul> <p><strong>data/bundle/era5-HDD-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level heating degree days in Europe for<br> 1941-2023. Used for rescaling heat demand in weather years not covered by<br> energy balance statistics.</p> <p><strong>data/bundle/era5-runoff-per-country.csv</strong></p> <p>- Link: https://gist.github.com/fneum/d99e24e19da423038fd55fe3a4ddf875<br>- License: CC-BY 4.0<br>- Contains country-level daily sum of runoff in Europe for<br> 1941-2023. Used for rescaling hydro-electricity availability in weather years<br> not covered by EIA hydro-generation statistics.</p> <p><strong>shipdensity_global.zip</strong></p> <ul> <li>Global Shipping Traffic Density</li> <li>Creative Commons Attribution 4.0</li> <li><a href="https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density">https://datacatalog.worldbank.org/search/dataset/0037580/Global-Shipping-Traffic-Density</a></li> </ul> <p><strong>seawater_temperature.nc</strong></p> <ul> <li>Global Ocean Physics Reanalysis</li> <li>Seawater temperature at 5m depth</li> <li>Link: https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_001_030/services</li> <li>License: https://marine.copernicus.eu/user-corner/service-commitments-and-licence</li> </ul> <p><strong>hera_be_2013-03-01_to_2013-03-08.zip</strong></p> <ul> <li>Tilloy, A., Paprotny, D., Luc, F., Grimaldi, S., Goncalo, G., Hylcke, B., Lange, S., Bianchi, A. (2024): HERA: a high-resolution pan-European hydrological reanalysis (1950-2020).</li> <li>6-hourly river discharge and ambient temperature for 2019 at 1-arc minute spatial resolution. Subset to the PyPSA-Eur test cutout (2013-03-01 to 2013-03-08 for longitude 1.5 to 7 and latitude 49 to 52)</li> <li>Link: <a href="https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543">https://publications.pik-potsdam.de/pubman/faces/ViewItemOverviewPage.jsp?itemId=item_29543</a></li> <li>License: <a href="https://data.jrc.ec.europa.eu/licence/com_reuse">https://data.jrc.ec.europa.eu/licence/com_reuse</a></li> </ul>
PyPSA-Eur Datasets for MyPyPSA-Ger
<p>Datasets from PyPSA-Eur model for usage in MyPyPSA-Ger model</p>
Supplementary Data: Code, Input Data and Model data: PyPSA-Eur: An Open Optimisation Model of the European Transmission System
<p>Supplementary Data (preliminary version)</p> <p>PyPSA-Eur: An Open Optimisation Model of the European Transmission System</p> <p>Authors: J. Hörsch, F. Hofmann, D. Schlachtberger, T. Brown</p> <p>and</p> <p>The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios</p> <p>Authors: J. Hörsch, T. Brown</p> <p>The files in this record contain the scripts to build a <a href="http://pypsa.org/">PyPSA</a> model of the European Electricity System including renewable feed-in from wind, solar and hydro installations derived from reanalysis weather data satellite irradiation. The model PyPSA-Eur is described in the above publication.</p> <p><strong>Scripts</strong></p> <p>To use the scripts, you need the following free software Python libraries:</p> <ul> <li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a> for the modelling framework</li> <li><a href="https://github.com/FRESNA/vresutils">vresutils</a> for various helper functions to build the model instance</li> <li><a href="https://github.com/FRESNA/atlite">atlite</a> to process weather data into power system data</li> <li><a href="https://snakemake.readthedocs.io/en/latest/">snakemake</a> to organise the execution of the software</li> </ul> <p>and other standard libraries from the <a href="https://pypi.python.org/pypi">Python Package Index</a> (PyPI), such as pandas, pyomo, countrycode, etc.</p> <p>snakemake requires that all code runs with Python version 3. The code setup is known to work with the following versions: PyPSA 0.12.0, pandas 0.21.1, numpy 0.14.0, scipy 0.19.1, pyomo 5.2. You may need to downgrade your libraries to these versions for the scripts to work.</p> <p>The Python scripts in this repository (in the directory scripts/) are released under the <a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GNU General Public Licence Version 3.0</a> (GPL 3.0).</p> <p>The scripts build_*.py process all raw input data into a form where it can be used in the model.</p> <p>base_network.py creates the initial PyPSA network topology.</p> <p>add_electricity.py adds generators and storage units to the models, it generates the detailed resolved model described in the PyPSA-Eur paper.</p> <p>simplify_network.py removes stub ac-buses from network topology and simplifies long dc lines.</p> <p>cluster_network.py creates clustered representations of the electricity network for a given number of buses following the topology described in the "spatial scale" paper.</p> <p>prepare_network.py adds parameters like the CO2 limit and the transmission expansion volume relevant for the optimization to the model.</p> <p>All scripts are managed with the <a href="http://snakemake.readthedocs.io/en/latest/">snakemake</a> workflow management tool.</p> <p>To run the scripts, adjust the parameters in config.yaml and cluster.yaml to your local configuration. Then simply execute</p> <pre><code>snakemake</code></pre> <p>for the rule you want to run.</p> <p><strong>Data</strong></p> <p>The input data include:</p> <ul> <li>Electricity sector data</li> <li>Topology derived from the analysis of an extract of the <a href="https://www.entsoe.eu/data/map/">ENTSO-E online map</a> using <a href="https://github.com/bdw/GridKit">GridKit</a> .</li> <li>A cost database with literature sources.</li> </ul> <p> </p>
A Randomized, Double-Blind, Dose Response-Control, Crossover Study to Evaluate the Safety and Efficacy of Two Doses of EUR-1008 (APT-1008) in Chronic Pancreatitis (CP) Participants With Exocrine Pancr
ClinicalTrials.gov study NCT00788593. IPD Sharing: Not stated. Countries: 3. Publications: 0.
A Study to Evaluate the Mode of Administration and Safety of EUR-1008 (APT-1008) in Infants 1 to 12 Months of Age
ClinicalTrials.gov study NCT01100606. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Regression tables and data for "CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018"
<p>This file presents the data obtained in the regression analysis for Table 10 included in the paper: </p> <p>"CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018;00:1–20".</p> <p>The file also includes the data used in the analyses for each variable and code, and also count of codes used in the analyses. Data included are for both years (2011 and 2015).</p> <p>Please, cite the tables with the paper reference: de‐Miguel‐Molina B, Chirivella‐González V, García‐Ortega B. CEO letters: social license to operate and community involvement in the mining industry. Business Ethics: A Eur Rev. 2018;00:1–20. ht tps://doi.org/10.1111/beer.12205</p>
A Study of EUR-1066 in Subjects With Chronic Pancreatitis, Exocrine Pancreatic Insufficiency and Chronic Abdominal Pain
ClinicalTrials.gov study NCT01159119. IPD Sharing: Not stated. Countries: 1. Publications: 0.
COVID-19 and Mental Health in Eure
ClinicalTrials.gov study NCT05364060. IPD Sharing: NO. Countries: 1. Publications: 0.
Affymetrix axiom EUR array data for MDS fibroblasts and iPSCs
GEO Series GSE52691. Homo sapiens. 5 samples. Type: Genome variation profiling by SNP array.
2022-03-04; 0151. EUR-PBA-4206 als trein 9145. Amsterdam Cs.
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336670.3219.jpg">https://4dcity.org/imgupload/1665336670.3219.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52381163460_b0da93e947_m.jpg">https://live.staticflickr.com/65535/52381163460_b0da93e947_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336670.3219.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 18.85 KB<br><br>Copyright: M GELDERMANS<br>ExifOffset: 82<br>Artist: MARTIN GELDERMANS
2022-03-04; 0140. EUR-PBA-4206 als trein 9145, SNG-3-2335 en SNG-3-2333 als trein 4640. Amsterdam Cs.
<u>Source</u>: Flickr <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1665336670.1943.jpg">https://4dcity.org/imgupload/1665336670.1943.jpg</a> <br><u>Original Image URL</u>: <a href="https://live.staticflickr.com/65535/52381055514_786248e708_m.jpg">https://live.staticflickr.com/65535/52381055514_786248e708_m.jpg</a> <br><br><u>Image-Metadata:</u><br>Filename: 1665336670.1943.jpg<br>Image Dimensions: 240x160<br>Megapixels: 0.04 MP<br>Filesize: 19.27 KB<br><br>Copyright: M GELDERMANS<br>ExifOffset: 82<br>Artist: MARTIN GELDERMANS
Bioavailability Study of Anti Nausea Medication With and Without Food (EUR-1025)
ClinicalTrials.gov study NCT00981487. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Data set from the article Lo Rito M, Grandinetti M, Muzio G, Varrica A, Frigiola A, Micheletti A, Chessa M, Giamberti A. Results for tricuspid valve surgery in adults with congenital heart disease other than Ebstein's anomaly†. Eur J Cardiothorac Surg. 2019 Oct 1;56(4):706-713. doi: 10.1093/ejcts/ezz093. PMID: 30919906.
<p>Data set from the article Lo Rito M, Grandinetti M, Muzio G, Varrica A, Frigiola A, Micheletti A, Chessa M, Giamberti A. Results for tricuspid valve surgery in adults with congenital heart disease other than Ebstein's anomaly†. Eur J Cardiothorac Surg. 2019 Oct 1;56(4):706-713. doi: 10.1093/ejcts/ezz093. PMID: 30919906.</p> <p>This is the abstract:</p> <p><strong>Objectives: </strong>Tricuspid valve (TV) surgery in the adult with congenital heart disease (ACHD) is a frequently performed procedure. The aim of this study was to analyse postoperative and medium-term outcomes.</p> <p><strong>Methods: </strong>We conducted a single-centre retrospective study of patients with ACHD who underwent TV surgery (January 2000-December 2016); patients with Ebstein's anomalies were excluded. Operative and clinical records were reviewed. Outcomes considered were survival, grade of insufficiency/stenosis and TV reoperation at follow-up.</p> <p><strong>Results: </strong>A total of 128 patients with ACHD had TV surgery for functional regurgitation (n = 95), dysplasia (n = 23) and systemic TV (n = 10). Median age was 40.8 years [interquartile range (IQR) 25.3]; 55.5% were men. Preoperative regurgitation was classified as mild (n = 8), moderate (n = 47) and severe (n = 70). The TV was repaired in 109 as follows: ring annuloplasty (n = 43), de Vega annuloplasty (n = 29), Wooler annuloplasty (n = 13), commissural plasty (n = 9), Kay annuloplasty (n = 7) and others (n = 8). The TV was replaced in 19 patients with biological (n = 10) and mechanical (n = 9) prostheses. The median hospital stay was 12 days (IQR 10). The overall mortality rate was 8.6% (n = 11): 2 hospital deaths (1.6%) and 9 late deaths. Survival was 93% [95% confidence interval (CI) 85-97%] at 5 years and 83% (95% CI 70-91%) at 10 years. The median follow-up period was 4.95 years (IQR 7.7) with 1 TV reoperation. Echocardiographic assessment showed ≥moderate regurgitation in 34 (34.3%) patients. Suture plasty had a significantly higher incidence of TV regurgitation ≥moderate compared to ring annuloplasty (48.9% vs 26.3%; P = 0.033).</p> <p><strong>Conclusions: </strong>TV surgery in the ACHD is frequently associated with other main procedures. Stabilizing the TV annulus with a prosthetic ring guarantees lower recurrence of moderate to severe regurgitation compared to suture plasty repair.</p>
Data set from the article Prinzivalli M, Sammarco G, Rampoldi B, Costa E, Corsi Romanelli MM. Comparison between specific and nonspecific assay in the evaluation of the anticoagulant effect of the Direct Oral Anticoagulants: Our experience in a cardiovascular hospital. Eur J Intern Med. 2019;60:e20‐e22. doi:10.1016/j.ejim.2018.10.005
<p>Data set from the article Prinzivalli M, Sammarco G, Rampoldi B, Costa E, Corsi Romanelli MM. Comparison between specific and nonspecific assay in the evaluation of the anticoagulant effect of the Direct Oral Anticoagulants: Our experience in a cardiovascular hospital. <em>Eur J Intern Med</em>. 2019;60:e20‐e22. doi:10.1016/j.ejim.2018.10.005</p>
Data set from Varga A, Di Leo G, Banga PV, Csobay-Novák C, Kolossváry M, Maurovich-Horvat P, Hüttl K. Multidetector CT angiography of the Circle of Willis: association of its variants with carotid artery disease and brain ischemia. Eur Radiol. 2019 Jan;29(1):46-56. doi: 10.1007/s00330-018-5577-x. Epub 2018 Jun 19. PMID: 29922933; PMCID: PMC6291432.
<p>Data set from the article Data set from Varga A, Di Leo G, Banga PV, Csobay-Novák C, Kolossváry M, Maurovich-Horvat P, Hüttl K. Multidetector CT angiography of the Circle of Willis: association of its variants with carotid artery disease and brain ischemia. Eur Radiol. 2019 Jan;29(1):46-56. doi: 10.1007/s00330-018-5577-x. Epub 2018 Jun 19. PMID: 29922933; PMCID: PMC6291432.</p> <p>This is the abstract</p> <p><strong>Purpose: </strong> (1) to estimate the prevalence of Circle of Willis (CoW) variants in patients undergoing carotid endarterectomy, (2) to correlate these variants to controls and (3) cerebral ischemia depicted by computed tomography (CT).</p> <p><strong>Materials and methods: </strong> After Institutional Review Board approval, data of 544 carotid endarterectomy patients (331 males, mean age 69±8 years) and 196 controls (117 males, mean age 66±11 years) who underwent brain CT and carotid CT angiography (CTA) were retrospectively analysed. Two observers independently classified each CoW segment as normal, hypoplastic (diameter <0.8 mm) or non-visualized. Four groups of CoW variants based on the number of hypoplastic/non-visualized segments were correlated with clinical data (ANOVA, χ<sup>2</sup> and multivariate logistic regression analysis). Intra- and inter-observer agreement was estimated using Cohen κ statistics.</p> <p><strong>Results: </strong> High prevalence of CoW variants (97%) and compromised CoW (81%) was observed in the study group and significant difference was found in the distribution of CoW variants compared to controls (p<0.001), internal carotid artery (ICA) stenosis being the only independent predictor of CoW morphology (p<0.001). Significant correlation was found between CoW configuration and brain ischemia in the study group (p=0.002). ICA stenosis of ≥90% was associated to higher rate of ipsilateral A1 hypoplasia/non-visualization (p<0.001). Intra- and inter-observer agreement was from substantial to almost perfect (Cohen κ=0.75-1.0).</p> <p><strong>Conclusion: </strong> Highly variable CoW morphology was demonstrated in patients undergoing endarterectomy compared to controls. Likely compromised CoW in relation to cerebral ischemia was observed in a large cohort of carotid endarterectomy subjects.</p> <p><strong>Key points: </strong> • CoW variant distribution significantly differed in the study and control groups (p<0.001). • ICA stenosis was the only independent predictor of CoW morphology (p<0.001). • Severely compromised CoW configuration showed significant association with brain ischemia (p=0.002).</p>
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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)
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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.