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594 results for “Mission”
Dataset for "Beating 1 Sievert: Optimal Radiation Shielding of Astronauts on a Mission to Mars" publication in Space Weather journal
<p>Datasets in .fig Matlab format and figures in .jpg format published in Space Weather journal</p> <p>effectiveDoseRF.mat contains the effective dose "response functions" and an example (how2useDoseResponceFunctions.m) of how to use them to assess GCR dose.</p>
Diachronic Corpus of Mission Statements for NC and FL Community Colleges
<p>This is a diachronic corpus of mission statements, philosophy statements, and purpose statements for community colleges in North Carolina and Florida. Texts date from the mid-1960s to 2020. Texts are indexed to IPEDS unit id. Texts for some years are missing. "OTM" means other than mission (which is typically a statement of purpose but may include statement of goals). Data were retrieved from archived catalogs and archived websites (e.g., Wayback Machine). The highest level of heading was used. For example, if a college published a statement of mission and a statement of purpose, the statement with the most prominent (typically the first) heading was used. </p>
A Synthetic Global Spatiotemporal Sampled River Discharge Database for Different Satellite Altimetry Mission Orbits
<p><strong>Corresponding peer-reviewed publication</strong></p> <p>This dataset corresponds to all the RRR input and output files that were used in the study reported in:</p> <ul> <li> <p>Sikder, Md. S., Bonnema, M., Emery, C. M., David, C. H., Lin, P., Pan, M., et al. (2021). A Synthetic Data Set Inspired by Satellite Altimetry and Impacts of Sampling on Global Spaceborne Discharge Characterization. <em>Water Resources Research</em>, <em>57</em>(2), e2020WR029035. <a href="https://doi.org/10.1029/2020WR029035">https://doi.org/10.1029/2020WR029035</a></p> </li> </ul> <p>When making use of any of the files in this dataset, please cite both the aforementioned article and the dataset herein. </p> <p>Note that this dataset makes extensive use of the river network and RAPID simulations that were produced in the following study, and the paper is gratefully acknowledged here:</p> <ul> <li> <p>Lin, P., Pan, M., Beck, H. E., Yang, Y., Yamazaki, D., Frasson, R., et al. (2019). Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches. <em>Water Resources Research</em>, <em>55</em>(8), 6499–6516. <a href="https://doi.org/10.1029/2019WR025287">https://doi.org/10.1029/2019WR025287</a></p> </li> </ul> <p><strong>Version of record and details of this version</strong></p> <p>The version of record for this dataset (i.e. the one used in the aforementioned paper) is version V1.1 available at <a href="https://doi.org/10.5281/zenodo.4064188">https://doi.org/10.5281/zenodo.4064188</a>. This version V2.1 was produced to facilitate testing of the RRR software (<a href="https://github.com/c-h-david/rrr">https://github.com/c-h-david/rrr</a>). Notable details regarding this version compared to V2.0 are as follows:</p> <ul> <li>The temporal sequence files (seq_TIM*.csv) of observations for regular temporal sampling now all have a sampling mean time of 0 second for every river reach instead of the previous value which corresponded to the cycle of observations (e.g. 259,200 seconds for a three-day regular temporal sampling). This allows to start sampling at the onset of each simulation instead of at the end of the first cycle. This change does impact the findings of the study.</li> <li>The sampled discharge files (Qout*.nc) where produced with an updated version of rrr_anl_spl_mod.py which now selects the time step at which a sample is retained using a slightly different approach. The update only impacts sampling results when the sampling time matches the river model output time step exactly, and is more accurate now. This change does impact the findings of the study.</li> </ul>
Ouseley mission to Persia 1810-15 – Analysis of reports on journeys
<p>These files form part of an archive of research data relating to the diplomatic mission to Persia 1810-15, led by Sir Gore Ouseley as ambassador. The data have been compiled by independent researchers W H (Bill) Martin and Sandra Mason; their contact details are in the README file.. The files comprise a number of searchable listings relating to the reports produced by members of the mission and other relevant data. The data formed the basis for a published report on the Ouseley Mission referenced below, which is also part of the archive. </p> <p>This section of the archive contains databases, under the general heading <em>ousjourney</em>, with analyses of the four reports on the journey to Persia produced respectively by Sir Gore Ouseley, Sir William Ouseley, James Justinian Morier, and William Price. The explanatory README text file contains details of these reports and information on the fields included in the databases, their definitions and of the codings used in different cases. </p>
Ouseley mission to Persia 1810-15 – Data on oriental manuscripts collected by the Ouseley brothers
<p>These files form part of an archive of research data relating to the diplomatic mission to Persia 1810-15, led by Sir Gore Ouseley as ambassador. The data have been compiled by independent researchers W H (Bill) Martin and Sandra Mason; their contact details are in the README file.. The files comprise a number of searchable listings relating to the reports produced by members of the mission and other relevant data. The data formed the basis for a published report on the Ouseley Mission referenced below, which is also part of the archive. </p> <p>This section of the archive contains three databases, under the general heading of <em>ouscollect</em>, listing the main items in the Ouseley collections of oriental manuscripts now held at the Bodleian Library in Oxford. Some of these items were undoubtedly acquired during the Ouseley mission to Persia 1810-15. Other were obtained during the brothers earlier stays in India or through booksellers in London and elsewhere. The database files have been saved in two formats: a Microsoft Access database (<em>ouscollect.accdb</em>) covering all the Ouseley holdings, and three separated comma-delimited text files (<em>.txt</em>). The explanatory README text file contains a table showing the fields included in the databases and giving definitions of them and of the codings used in different cases. </p>
Ouseley mission to Persia 1810-15 – Analysis of reference material
<p>These files form part of an archive of research data relating to the diplomatic mission to Persia 1810-15, led by Sir Gore Ouseley as ambassador. The data have been compiled by independent researchers W H (Bill) Martin and Sandra Mason; their contact details are in the README file.. The files comprise a number of searchable listings relating to the reports produced by members of the mission and other relevant data. The data formed the basis for a published report on the Ouseley Mission referenced below, which is also part of the archive. </p> <p>This section of the archive contains a database, <em>ousref</em>, listing reference material relating to the Ouseley mission and the four key participants who wrote about their journeys. Th explanatory README text file contains details of the four reports and a table showing the fields included in the database and giving definitions of them and of the codings used in different cases. </p>
Global Empirical Picture of Magnetospheric Substorms Inferred from Multi-Mission Magnetometer Data
<p>Data associated with Journal of Geophysical Research: Space Physics article titled: "Global Empirical Picture of Magnetospheric Substorms Inferred from Multi-Mission Magnetometer Data". This includes all the digital data that was used in constructing the Figures from the main and supplementary text, along with files containing the fit set of coefficients and parameters for the model, and files describing the subset of magnetometer used for fitting the model. </p>
A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission example data
<p>These files contain the Confluence pipeline outputs, prior information (SOS) and Simulated SWOT shape files from the example in the "A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite mission" manuscript. </p>
Chinese Educational Mission Dataset (1872-1881)
<p>This series of 11 datasets is drawn from Rhoads, Edward J. M. <em>Stepping Forth into the World: The Chinese Educational Mission to the United States, 1872-81</em>. Hong Kong University Press, 2011.</p> <p>They document the 120 young Chinese who participated in the pioneering Chinese Educational Mission (CEM) in the United States (1872-1881). The first 8 files are drawn directly from the tables in Rhoads: </p> <ol> <li>Table 2.1 CEM students, by detachment (p.14-17)</li> <li>Table 5.1. Initial host family assignments (p.51-54)</li> <li>Table 7.1. CEM students in middle schools (by state and locality) (p. 90-94)</li> <li>Table 7.2 CEM students in public high schools (by state and locality) (p.96-99)</li> <li>Table 7.3 CEM students in private academies (by state and locality) (p.99-100)</li> <li>Table 8.1 CEM students in colleges (by academic year of enrollment) (p.116-118)</li> <li>Table 9.1 Deaths, dismissals, and withdrawals from the CEM (by date) (p.136)</li> <li>Table 9.2 CEM students in the June 1880 census (p.138-142)</li> </ol> <p>Based on these tables, I created three synthetic datasets which can be used for statistical and network analyses: </p> <ol> <li>cem_attributes: students' vital attributes, including their multiple names and transliteration, date and place of birth, and other attribute data (one row for each individual). </li> <li>cem_host: students' host families in the United States</li> <li>cem_education: students' educational curricula </li> </ol> <p>Each file contains two tabs, one for the data (data), one for the description of variables (key). Grey columns refer to the unstructured information given in the original source. </p>
Geologic Map of Ceres [Dawn Mission] - Global dataset based on the 15 individual quadrangle maps
<p><strong>Background:</strong> Between 2011 and 2018, the NASA Dawn spacecraft visited asteroid (4) Vesta and dwarf planet (1) Ceres to investigate the surfaces of both protoplanets through optical and hyperspectral imaging and their composition through gamma-ray and neutron spectroscopy from orbit.<br> For both Vesta and Ceres, a geologic mapping investigation was realized based on optical and hyperspectral data as well as a photogrammetrically derived digital terrain model. For the global mapping investigation, mappers employed Geographic Information System (GIS) software to map 15 quadrangles. The results were published as individual map sheets alongside research papers discussing the geologic evolution. The style of collaborative mapping to produce a consistent global view represented by individual quadrangle maps is comparably new despite abundantly available mapping experiences. Ongoing data acquisition during mapping created considerable challenges for the coordination and homogenization of mapping results.</p> <p>To handle this issue simultaniously to the active mission phase as best as possible a GIS-based environment was needed in order to conduct one homogenous dataset (w.r.t. geometrical and visual character) that represents one geologically-consistent map at the end. Therefore, the mapping team was supported by an predefined mapping template which was generated in the proprietary ArcGIS environment. The template contains different layers (called feature classes) for the different object/geomoetry types and contains predefined attribute values as well as cartographic symbols. The cartographic symbols follow international standards as far as possible. The colours for the geological units refering to established colour values used in geologic maps, e.g., standardized planetary maps generated by USGS, but considering individual needs and requests within the mapping team, too.<br> <br> The <strong>data product pubished here</strong> based on the mentioned GIS-based template and represents the merged global GIS-dataset of the 15 individually conducted geological maps of Ceres within the Dawn Mission. The detailed descriptions of all those scientific interpretions are published in the papers listed within the reference section. Based on team-internal decisions the dataset is provided within the properitary format of ESRIs ArcGIS environment. However, in order to use the data product also outside this software environment, single shapefiles with additional information about the symbology are also included. All available data are available within the compressed folder and the readme-file gives some informative remarks for the useage of the data</p> <p><strong>Additional remark: </strong>The data set provided here does not represent a holistic (in term of topological and scientifical) unification of the 15 individual mapping data as primarily geometric and content-related inconsistencies at quadrangle boundaries prohibited a unified compilation. On the one side, this is due to the fact that the the aim of the mapping project was not to produce a uniform global map, but rather to gain a first impression of the geology of Ceres and publish associated scientific papers. On the other side, that the geological mapping project ran parallel to the regular mission phase, and a finalizing review process for creating a global geological dataset wasn´t scheduled in the mission planning. This deficiency cannot be remedied simply by merging topological missmatches or changing the visualisation. Rather it will require ongoing and detailed scientific discussion of the interpretation results, which could be solved within an updating version of the global map.</p>
EXTREMA: Random autonomous interplanetary mission scenarios for EXTREMA Simulation Hub (ESH) hardware-in-the-loop simulations
<p>EXTREMA (short for Engineering Extremely Rare Events in Astrodynamics for Deep-Space Missions in Autonomy) enables self-driving spacecraft, challenging the current paradigm under which spacecraft are piloted in the interplanetary space [1]. Deep-space guidance, navigation, and control applied in a complex scenario is the subject of EXTREMA, which wants to engineer ballistic capture in a totally autonomous fashion. EXTREMA is erected on three pillars. Pillar 1 is on autonomous navigation. Pillar 2 involves autonomous guidance and control. Pillar 3 deals with autonomous ballistic capture. The outcomes from each one of the three pillars is validated with a tailored experiment featuring the model of the associated CubeSat subsystems. Integrated experiments involving all the components of a CubeSat GNC system are carried on in the EXTREMA Simulation Hub, an integrated facility simulating an interplanetary transfer with a hardware-in-the-loop setup. The project has been awarded a European Research Council (ERC) Consolidator Grant in 2019.</p> <p>The data set is made of 1000 (even more in some releases) random interplanetary mission scenarios used for hardware-in-the-loop simulations performed in the EXTREMA simulation Hub (ESH). Each scenario comes with the following information: generation seed, initial epoch, initial state (Keplerian elements and Cartesian coordinates), initial attitude (quaternion and direct cosine matrix), initial mass, number of revolution, time of flight, target final epoch, target final state (Keplerian elements and Cartesian Coordinates), and other supplementary data. Scenarios are organized in directories each containing at least the following files:</p> <ul> <li>'esh_ic.json': random scenario information saved in .json format;</li> <li>'esh_ic.mat': random scenario information saved in .mat format.</li> </ul> <p>Some releases provide only a limited set of data in the 'esh_ic.json' file. For those, the full set of information is found in the 'esh_ic_full.json' file.</p> <p>For additional information about the EXTREMA project visit the page <a href="http://extrema.polimi.it/">extrema.polimi.it</a>.</p> <p><strong>References</strong><br> [1] Di Domenico G., et al. "The ERC-Funded EXTREMA Project: Achieving Self-Driving Interplanetary CubeSats." <em>Modeling and Optimization in Space Engineering: New Concepts and Approaches</em>. Cham: Springer International Publishing, 2022. 167-199. DOI: <a href="https://doi.org/10.1007/978-3-031-24812-2_6">10.1007/978-3-031-24812-2_6</a>.</p>
SBC LTER: Land: Hydrology: Stream discharge and associated parameters at Mission Creek, Montecito St (MC00)
Stream Discharge and water temperature were collected with a Solinst Model 3001 LT Levelogger at Mission Creek at Montecito St, MC00 in the Santa Barbara coastal area (site ID: MC00). Data are reported hourly. Stage values were converted to discharge using a rating curve developed with stream channel cross-sections, roughness estimates and the HEC-RAS model.
FK180310 SCOPE-Falkor cruise, Seaglider 626, Mission 2
<p>The SCOPE-Falkor cruise was a month long expedition, primarily to conduct mapping of the deep chlorophyll maximum (DCM) within a mesoscale cyclonic eddy. The procedure was to utilize two Long Range Autonomous Vehicles (AUVs) near the center of the eddy and to capture the microbial ecology within the DCM over several diel cycles. Two autonomous Seagliders, sg148 (mission 15) and sg626 (mission 2) were deployed along the exterior boundary of the cyclonic eddy to conduct spatial surveys of salinity, chlorophyll, optics, and oxygen, diving generally from 200 to 600 meters depth. Since the R/V Falkor and the LRAUVs would be drifting near each other and sampling close to the center of the cyclonic eddy, both Seagliders were to give the regional context by simultaneously traversing the margin of the eastern edge of the cyclonic eddy and western edge of the anti-cyclonic eddy.</p>
The Church as the Family of Trinity: The Identity and Mission of the Laity
<p><i>The Church as a communion of believers is rooted in Jesus Christ, the founder. The Holy Trinity is the source of the communion of the Church. The Church grows through missionary activities conducted by different ministries (clergy, laity and other ministries). Important questions arise from this premise; what is the role and place of the lay people in the Church's missionary activities? Is the presence of the lay people recognized in the Church? If yes, in what which ways? By virtue of the sacrament of baptism all faithful share a responsibility for the Church's mission. All baptized faithful share common priesthood through baptism. However, what is the limitation between the lay faithful and the Orders by the Holy Spirit in terms of participating in missionary activities? Upon this reflection, it is anticipated that it is better to balance and harmonize this problem by researching on the Church as the Family of Trinity. This paper therefore discusses the identity and mission of the laity in the Church by showing the position of the lay faithful to the Church's apostolate. In this paper, I recognize that, the common priesthood of the faithful and that of ministerial or hierarchical priesthood are nonetheless interrelated. This implies that, each of them in its own special way participates in one priesthood of Christ. Therefore, equality does not cancel the diversity in the ministries. This diversity is due to the Holy Spirit through which the Church is ordered and governed by a wonderful diversity. The model taken is of the Church as the Family of Trinity. That is, the communion of the Father, the Son and the Holy Spirit as the model to the earthly Church. The aim of the Church as family of Trinity is to restore the correct balance and relationship between the institutional aspects of the Church and mystical. The two realities are inseparable and need each other. However, the whole purpose of the visible society is to proclaim and draw its members into the mystery of communion. This paper is primarily contextual to Africa. Its reflection is that; because of pyramidal Catholic Church in Africa, many lay Catholic faithful do not feel at home in the Catholic Church. The researcher believes that, fraternity has been wiped away because of the institutional model. Basing on the Trinitarian ecclesiology therefore, the Church as family of Trinity places all faithful as equal despite the hierarchical organization of the Church. Ultimately, this will lead to a life of brotherhood and sisterhood. The recognition and the awareness of the laity of their mission in the Church and in the world, makes the lay people to witness their believe in words and deeds especially in the education of the young generation. </i></p>
CLaMS results used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT
<p>Results of the Chemical Lagrangian Model of the Stratosphere (CLaMS) used for age of air analysis in the report of assessment of the ESA Earth Explorer candidate mission CAIRT. Days of results: 2011-01-01, 2011-04-01, 2011-07-01, 2011-10-01 and 2019-09-23. Included trace gases: SF6, CFC-11, CFC-12, HCFC-22, N2O and CH4. The results also include the clock tracer BA, which can be converted into the precise mean age of or air of the model environment with the attached python script 'AOA2age_years.py'.</p>
Database of Short Large-Amplitude Magnetic Structures (SLAMS) detected by spacecraft 1 of the Cluster mission in the foreshock of Earth
<p>Database of Short Large-Amplitude Magnetic Structures (SLAMS) detected in the foreshock of Earth by spacecraft 1 of the Cluster mission between the years 2002-2012.</p> <p>An automated algorithm has been used for SLAMS identification followed by a manual verification process to remove bow shock oscillations and other false detections. SLAMS have been defined to have an amplitude of at least two times the background magnetic field. </p> <p>More details on the creation of the database are given in the following publication:</p> <p><span><span lang="EN-US">Bergman, S.</span></span><span lang="EN-US">, Karlsson, T., Wong Chan, T. K., & Trollvik, H. (2025). Statistical properties of Short Large</span><span lang="EN-US">‐</span><span lang="EN-US">Amplitude Magnetic Structures (SLAMS) in the foreshock of Earth from Cluster measurements. <em>Journal of Geophysical Research: Space Physics</em>, 130. </span><a href="https://doi.org/10.1029/2024JA033568"><span lang="EN-US">https://doi.org/10.1029/2024JA033568</span></a></p> <p>Contact: S. Bergman, sofiabergmanphd@gmail.com </p>
fCO2 underway measurements during Mission Microbiomes aboard SV Tara
<p>This dataset compiles underway fugacity of CO₂ measurements collected during Legs 5, 6, 7, 8, and 9 of the <em>Mission Microbiomes AtlantECO</em> aboard the sailing vessel <em>Tara</em>.</p> <p>The dataset spans from August 2021, starting in Martinique (France), to late November 2021 at the Brazil-Uruguay border.</p> <p>It includes time and location of measurement, sea surface temperature, sea surface salinity, 10 m wind speed, bottom depth, equilibrator temperature, atmospheric pressure, molar fraction of CO₂ in seawater, partial pressure of CO₂ in seawater, and fugacity of CO₂ in seawater.</p> <p>This dataset has been submitted to the 2025 SOCAT release and is accompanied by the paper <em>'Exploring the CO₂ fugacity along the east coast of South America aboard the schooner Tara'</em>, submitted to <em>ESSD</em> by Olivier et al.</p> <p>Additionally, the dataset includes a metadata file (<em>Metadata_TaraMicrobiomes_ATLANTECO.xlsx</em>), formatted according to SOCAT submission requirements, providing further details specific to this dataset.</p> <p>The data is available in two open-access formats: CSV and NetCDF</p>
Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"
<p>Data for the research article: "Simulations of Energetic Neutral Atom sputtering from Ganymede in preparation for the JUICE mission"</p>
Multi-Mission Phase Space Density Observations - 6 - 10 September 2017
<p>FILE DESCRIPTION:<br> Archived data for the manuscript “Resolving Magnetopause Shadowing Using Multi-Mission Measurements of Phase Space Density” Staples et al., submitted to the Journal of Geophysical Research: Space Physics (manuscript archived via Earth and Space Science Open Archive ESSOAr<strong>;</strong> Washington, Mar 11, 2021. DOI:10.1002/essoar.10506455.1).</p> <p><br> These files contain multi-mission phase space density measurements including, Van Allen Probes, GOES 13, 14, 15, GPS, MMS, and THEMIS, computed in adiabatic coordinates. All data is between 6 - 10 September 2017. For detailed description of the method used in the computation of this data, see section 2.1 of the submitted manuscript.<br> <br> The THEMIS, Van Allen Probe, MMS, and GOES data used in computations is publicly available via http://cdaweb.gsfc.nasa.gov <br> The GPS data is available via https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/</p> <p>FILES:</p> <p>'allsc_psd_mu400.txt' - electron PSD from all spacecraft listed above, where µ = 390 to 410 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'allsc_psd_mu900.txt' - electron PSD from all spacecraft listed above, where µ = 877.5 to 922.5 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 350 to 450 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p>'rbsp_psd_mu400.txt' - electron PSD from the Van Allen probes, where µ = 850 to 950 MeV/G and <em>K</em> = 0.075 to 0.125 G<sup>0.5</sup>R<sub>E</sub></p> <p><br> DATA OWNER: Adam Kellerman<br> DATA PREPERATION: Frances Staples</p> <p><br> CONTACT:<br> Adam Kellerman: akellerman@epss.ucla.edu<br> Frances Staples: frances.staples@ucl.ac.uk<br> </p>
Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor mission to a dynamically new comet
<p>This data-set contains all results from the Engineering Dust Coma Model (EDCM) for ESA's Comet Interceptor (CI) mission to a dynamically new comet.</p> <p>A full description of the model behind the data can be found in the peer-reviewed paper <strong>Marschall, Zakharov et al. (2022), <a href="https://doi.org/10.1051/0004-6361/202243648">https://doi.org/10.1051/0004-6361/202243648</a>.</strong> Please cite this data-set and the paper when using the data.</p> <p>Contemporary numerical models of dusty-gas coma are used to obtain spatial distribution of dust for a given set of parameters. By varying parameters within a range of possible values we obtain an ensemble of possible dust distributions. Then, this ensemble is statistically evaluated in order to define the most probable cases and hence reduce the dispersion. This ensemble can be used to estimate not only the likely dust abundance along e.g. a fly-by trajectory of a spacecraft but also quantify the associated uncertainty.</p> <p>The dust environment assessment for the case when the target comet is not known beforehand (or when its parameters are known with large uncertainty) is critical for spacecraft safety and planning. The EDCM provides an assessment of dust environment for the CI mission.</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.