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429 results for “December”
Solar and meteorological data collected from the University of La Reunion Moufia station (La Réunion) by the ENERGY-Lab at the University of La Reunion between December 2008 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Saint Louis Lycée Jean Joly station (La Réunion) by the ENERGY-Lab at the University of La Reunion between November 2016 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Marla station (La Réunion) by the ENERGY-Lab at the University of La Reunion between June 2023 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Le Port Mairie station (La Réunion) by the ENERGY-Lab at the University of La Reunion between May 2015 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Vacoas station (Mauritius) by the ENERGY-Lab at the University of La Reunion between October 2019 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Cilaos Thermes station (La Réunion) by the ENERGY-lab at the University of La Reunion between December 2012 and June 2013
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Plaine des Palmistes Parc National station (La Réunion) by the ENERGY-Lab at the University of La Reunion between December 2018 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Saint Paul Le Carat station (La Réunion) by the ENERGY-Lab at the University of La Reunion between October 2022 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
December 2021 eclipse monitoring of WWV at 10 MHz using Grape 1
<p>Ten days of fldigi recordings in HamSci Grape 1 format of WWV at 10 MHz around the December 2021 eclipse</p>
December 2021 Eclipse data from location QG61mh by VK2ARL using SDRplay RSP2 and FLDIGI
<p>December 2021 Eclipse Festival data gathered by VK2ARL from the signal from WWV on 15.00MHz using a SDRplay RSP2 receiver connected to a horizontal loop antenna at location QG61mh (-28.678 ,153.027) and analysed by FLDIGI. Data droputs on some days were due to unexpected power failures during electrical storms.</p>
PM2.5 4 days forecast from December, 22 2020 retrieved from Copernicus Monitoring Service
<p>Dataset used in the Galaxy Pangeo tutorials on Xarray.</p> <p>Data is in netCDF format and is from <a href="https://ads.atmosphere.copernicus.eu/">Copernicus Air Monitoring Service</a> and more precisely PM2.5 (<a href="https://en.wikipedia.org/wiki/Particulates#Size,_shape_and_solubility_matter">Particle Matter < 2.5 μm</a>) 4 days forecast from December, 22 2021. This dataset is very small and there is no need to parallelize our data analysis. Parallel data analysis with Pangeo is not covered in this tutorial and will make use of another dataset.</p> <p> </p> <p><strong>This dataset is not meant to be useful for scientific studies.</strong></p>
UEX1 - December 2021
<p>Measurements of UEX1 (Universidad Extremadura) in December 2021</p> <p>Universidad Extremadura</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/UEX1">info</a></p>
LPL8 - December 2021
<p>Measurements of LPL8 (PN de Timanfaya) in December 2021</p> <p>Yaiza y Tinajo, Lanzarote</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL5 - December 2021
<p>Measurements of LPL5 (Tejeda) in December 2021</p> <p>Tejeda, Gran Canaria</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL1 - December 2021
<p>Measurements of LPL1 (Güímar) in December 2021</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
LPL3 - December 2021
<p>Measurements of LPL3 (Costa este de Madeira) in December 2021</p> <p>Madeira</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
LPL1 - December 2020
<p>Measurements of LPL1 (Güímar) in December 2020</p> <p>Tenerife</p> <p>Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
Web Data Commons (December 2020) Property and Datatype Usage Dataset
<p>This is a dataset about the usage of properties and datatypes in the <a href="http://webdatacommons.org/structureddata/2020-12/stats/stats.html">Web Data Commons RDFa, Microdata, Embedded JSON-LD, and Microformats Data Sets (December 2020)</a> based on the <a href="http://commoncrawl.org/2020/10/september-2020-crawl-archive-now-available/">Common Crawl September 2020 archive</a>. The dataset has been produced using the <a href="https://doi.org/10.5281/zenodo.6258887">RDF Property and Datatype Usage Scanner v1.0.0</a>, which is based on the <a href="https://jena.apache.org/">Apache Jena</a> framework. Only RDFa and embedded JSON-LD data were considered, as Microdata and Microformats do not incorporate explicit datatypes.</p> <p><strong>Dataset Properties</strong></p> <ul> <li><strong>Size</strong>: 0.6 GiB compressed, 11.0 GiB uncompressed, 53 641 457 rows plus 1 head line determined using <code class="language-bash">gunzip -c measurements.csv.gz | wc -l</code></li> <li><strong>Parsing Failures</strong>: The scanner failed to parse 45 307 472 triples (~0.1 %) of the source dataset (containing 37 971 812 425 triples). The main reasons for failures were malformed IRIs and illegal character encodings.</li> <li><strong>Content</strong>: <ul> <li>CATEGORY: The category (<em>html-embedded-jsonld</em> or <em>html-rdfa</em>) of the Web Data Commons file that has been measured.</li> <li>FILE_URL: The URL of the Web Data Commons file that has been measured.</li> <li>MEASUREMENT: The applied measurement with specific conditions, one of: <ul> <li><strong>UnpreciseRepresentableInDouble</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:double</code>.</li> <li><strong>UnpreciseRepresentableInFloat</strong>: The number of lexicals that are in the lexical space but not in the value space of <code>xsd:float</code>.</li> <li><strong>UsedAsDatatype</strong>: The total number of literals with the datatype.</li> <li><strong>UsedAsPropertyRange</strong>: The number of statements that specify the datatype as range of the property.</li> <li><strong>ValidDateNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:date</code>.</li> <li><strong>ValidDateTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:dateTime</code>.</li> <li><strong>ValidDecimalNotation</strong>: The number of lexicals that represent a number with decimal notation and whose lexical representation is thereby in the lexical space of <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidExponentialNotation</strong>: The number of lexicals that represent a number with exponential notation and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidInfOrNaNNotation</strong>: The number of lexicals that equals either <code>INF</code>, <code>+INF</code>, <code>-INF</code> or <code>NaN</code> and whose lexical representation is thereby in the lexical space of <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidIntegerNotation</strong>: The number of lexicals that represent an integer number and whose lexical representation is thereby in the lexical space of <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> <li><strong>ValidTimeNotation</strong>: The number of lexicals that are in the lexical space of <code>xsd:time</code>.</li> <li><strong>ValidTrueOrFalseNotation</strong>: The number of lexicals that equal either <code>true</code> or <code>false</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>.</li> <li><strong>ValidZeroOrOneNotation</strong>: The number of lexicals that equal either <code>0</code> or <code>1</code> and whose lexical representation is thereby in the lexical space of <code>xsd:boolean</code>, and <code>xsd:integer</code>, <code>xsd:decimal</code>, <code>xsd:float</code>, and <code>xsd:double</code>.</li> </ul> <strong>Note</strong>: Lexical representation of <code>xsd:double</code> values in embedded JSON-LD got normalized to always use exponential notation with up to 16 fractional digits (see <a href="https://github.com/jsonld-java/jsonld-java/blob/v0.13.1/core/src/main/java/com/github/jsonldjava/core/RDFDataset.java#L648">related code</a>). Be careful by drawing conclusions from according <strong>Valid…</strong> and <strong>Unprecise…</strong> measures.</li> <li>PROPERTY: The property that has been measured.</li> <li>DATATYPE: The datatype that has been measured.</li> <li>QUANTITY: The count of statements that fulfill the condition specified by the measurement per file, property and datatype.</li> </ul> </li> </ul> <p><strong>Preview</strong></p> <pre><code>"CATEGORY","FILE_URL","MEASUREMENT","PROPERTY","DATATYPE","QUANTITY" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://schema.org/height","http://www.w3.org/2001/XMLSchema#string","11" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://www.w3.org/ns/csvw#value","http://www.w3.org/2001/XMLSchema#string","27" "html-embedded-jsonld","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-embedded-jsonld.nq-00000.gz","UnpreciseRepresentableInDouble","http://schema.org/saturatedFatContent","http://www.w3.org/2001/XMLSchema#string","1" … "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://purl.org/goodrelations/v1#hasMaxValue","http://www.w3.org/2001/XMLSchema#float","2" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://purl.org/goodrelations/v1#hasMinValue","http://www.w3.org/2001/XMLSchema#float","4" "html-rdfa","http://data.dws.informatik.uni-mannheim.de/structureddata/2020-12/quads/dpef.html-rdfa.nq-05166.gz","ValidZeroOrOneNotation","http://rdfs.org/sioc/ns#num_replies","http://www.w3.org/2001/XMLSchema#integer","1062"</code> </pre> <p><strong>Note</strong>: The data contain malformed IRIs, like "<code>xsd:dateTime</code>" (instead of probably "<code>http://www.w3.org/2001/XMLSchema#dateTime</code>"), which are caused by missing namespace definitions in the original source website.</p>
Ballistic capture sets at Mars using Differential Algebra with initial epoch December 9, 2023
<p>The data set is made of two items containing initial sub-domains of inconsistent, weakly-stable, unstable, crash, moon-crash, and capture sets at Mars [1]. They are compressed files that contain a classification of the sub-domains of the search-space defined and used to compute the consistency and quality criteria of the differential algebra mapping, as well as graphical representations of the search space. All initial sub-domains have initial epoch 09 DEC 2023 00:45:18.363 (UTC). The search space is built to maximize the capture ratio for Mars (see Figure 10 in [2]). Initial sub-domains are propagated in high-fidelity. The equations of motion of the restricted n-body problem including solar radiation pressure are considered. The first item contains a low-resolution mapping. The search space is divided 32 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 9 splits [3]. The first item contains a high-resolution mapping. The search space is divided 128 times along the radius of the periapsis and the argument of the periapsis. The maximum depth of the Automatic Domain Splitting algorithm is 10 splits [3].</p> <p>The data set is associated to the following journal article:</p> <ul> <li> Article: Stable sets mapping with Taylor differential algebra with application to ballistic capture orbits around Mars</li> <li> Journal: Celestial Mechanics and Dynamical Astronomy</li> <li> Authors: Thomas Caleb (corresponding author: thomas.caleb@student.isae-supaero.fr), Gianmario Merisio, Pierluigi di Lizia, and Francesco Topputo</li> <li> DOI: <a href="https://www.doi.org/10.1007/s10569-022-10090-8">10.1007/s10569-022-10090-8</a></li> </ul> <p><strong>References</strong><br> [1] F. Topputo and E. Belbruno,'Earth–Mars transfers with ballistic capture', Celestial Mechanics and Dynamical Astronomy, Vol. 121, No. 4, 2015, pp. 329-346. DOI: <a href="https://doi.org/10.1007/s10569-015-9605-8">10.1007/s10569-015-9605-8</a><br> [2] Z.-F. Luo and F. Topputo, 'Analysis of ballistic capture in Sun–planet models', Advances in Space Research, Vol. 56, No. 6, 2015, pp. 1030-1041. DOI: <a href="https://doi.org/10.1016/j.asr.2015.05.042">10.1016/j.asr.2015.05.042</a><br> [3] A. Wittig, P. Di Lizia, et al., Propagation of large uncertainty sets in orbital dynamics by automatic domain splitting', Celestial Mechanics and Dynamical Astronomy, Vol. 122, No. 3, 2015, pp. 239-261. DOI: <a href="https://doi.org/10.1007/s10569-015-9618-3">10.1007/s10569-015-9618-3</a></p>
Рис. 1. Размерная структура Gm. fasciatus в ΛитораΛьной зоне озера АрахΛей: 1 — в июне; 2 — в августе; 3 — в октябре; 4 — в Αекабре 2017 г. и июне 2018 г. Fig. 1. Gm. fasciatus population size structure in the Lake Arakhley littoral zone: 1 — June; 2 — August; 3 — October; 4 — December, 2017 and June, 2018 in The life cycle of Gmelinoides fasciatus (Stebbing, 1899) and Gammarus lacustris (Sars, 1863) amphipods in the lake Arakhley littoral during the extreme low-water phase of the hydrological cycle
Рис. 1. Размерная структура Gm. fasciatus в ΛитораΛьной зоне озера АрахΛей: 1 — в июне; 2 — в августе; 3 — в октябре; 4 — в Αекабре 2017 г. и июне 2018 г. Fig. 1. Gm. fasciatus population size structure in the Lake Arakhley littoral zone: 1 — June; 2 — August; 3 — October; 4 — December, 2017 and June, 2018
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.