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135 results for “metropolitan area”
Urban Green Area Accessibility Prioritization in Helsinki Metropolitan Area, Finland
<p>R scripts and Zonation input and output files for the research article Jalkanen, Fabritius, Vierikko, Moilanen & Toivonen (2020), “Analyzing fair access to urban green areas using multimodal accessibility measures and spatial prioritization”, <em>Applied Geography</em> (doi:10.1016/j.apgeog.2020.102320). See also the GitHub page for possible updates: <a href="https://github.com/DigitalGeographyLab/urban-green-area-accessibility-prioritization/">https://github.com/DigitalGeographyLab/urban-green-area-accessibility-prioritization/</a></p> <p><strong>R scripts</strong></p> <ul> <li> <p>01_Distance-decays_of_travel_modes.r: Code for defining distance-decay functions for travels from home to a recreational area. Functions are defined separately for different travel modes (walking, biking, public transport) and they are based on a travel survey by Helsinki Region Transport Authority (Brandt et al. 2019).</p> </li> <li> <p>02_Green_area_accessibility_layers_from_cell-specific_travel_times.r: Code for creating raster layers depicting the accessibility of green areas in the Helsinki Metropolitan Area, separately from the point of view of all the metropole’s districts. Accessibility is based on modeled travel times (Tenkanen & Toivonen 2020) and distance-decay functions (previous code).</p> </li> <li> <p>03_Green_area_buffer_analysis_for_comparison.r: Code for calculating the number of people living within 500m buffer around different green area pixels in the Helsinki Metropolitan Area.</p> </li> </ul> <p><strong>Zonation files</strong></p> <p>Each folder contains standard Zonation input and output files for different analysis versions described in the article. The .bat files that execute each Zonation run are located in the corresponding folders. The “input” subfolders include the features_list.spp and settings.dat files for each run. The “output” subfolders include all files generated and named automatically by the Zonation software. For instance, the priority rank maps shown in the article are found in these subfolders. See the Zonation manual (Moilanen et al. 2014) for details about e.g. the usage, naming, or structure of the different files.</p> <p>Zonation analysis versions are named as follows:</p> <ul> <li>walk = Analysis includes the accessibility of all green areas based on walking.</li> <li>bike = Analysis includes the accessibility of all green areas based on biking.</li> <li>pt = Analysis includes the accessibility of large forests based on public transportation.</li> <li>weights = The population-weighted version of the analysis. Here, each input raster layer (showing the accessibility of green areas from different city districts) is weighted by the population of the corresponding district.</li> </ul> <p><strong>References</strong></p> <p>Brandt E, Kantele S & Räty P (2019). Liikkumistottumukset Helsingin seudulla 2018 (Travel habits in the Helsinki region in 2018). HSL Publications 9/2019. <a href="https://www.hsl.fi/sites/default/files/hsl_julkaisu_9_2019_netti.pdf">https://www.hsl.fi/sites/default/files/hsl_julkaisu_9_2019_netti.pdf</a></p> <p>Tenkanen, H & Toivonen T (2020). Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki Region. Scientific Data 7: 1–15. <a href="https://doi.org/10.1038/s41597-020-0413-y">https://doi.org/10.1038/s41597-020-0413-y</a></p> <p>Moilanen, Pouzols FM, Meller L, Veach V, Arponen A, Leppänen J, Kujala H (2014) Zonation Version 4 user manual. C-BIG, University of Helsinki, Helsinki.</p>
Enhancement of cloud-to-ground lightning activity caused by the urban effect: a case study in the Beijing metropolitan area
<p>The dataset here includes land-surface temperature, wind field, precipitation, UV aerosol index, and lightning information analyzed in the paper "<strong>Enhancement of cloud-to-ground lightning activity </strong><strong>caused by the urban effect: a case study in</strong> <strong>the Beijing metropolitan area</strong>".</p>
A 24-hour dynamic population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland
<p><strong>Related article:</strong> Bergroth, C., Järv, O., Tenkanen, H., Manninen, M., Toivonen, T., 2022. A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. <a href="https://www.nature.com/articles/s41597-021-01113-4"><em>Scientific Data</em> 9, 39</a>.<br> </p> <p><strong>In this dataset:</strong></p> <p>We present temporally dynamic population distribution data from the Helsinki Metropolitan Area, Finland, at the level of 250 m by 250 m statistical grid cells. Three hourly population distribution datasets are provided for regular workdays (Mon – Thu), Saturdays and Sundays. The data are based on aggregated mobile phone data collected by the biggest mobile network operator in Finland. Mobile phone data are assigned to statistical grid cells using an advanced dasymetric interpolation method based on ancillary data about land cover, buildings and a time use survey. The data were validated by comparing population register data from Statistics Finland for night-time hours and a daytime workplace registry. The resulting 24-hour population data can be used to reveal the temporal dynamics of the city and examine population variations relevant to for instance spatial accessibility analyses, crisis management and planning. </p> <p><strong>Please cite this dataset as:</strong><br> <br> Bergroth, C., Järv, O., Tenkanen, H., Manninen, M., Toivonen, T., 2022. A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, Finland. Scientific Data 9, 39. https://doi.org/10.1038/s41597-021-01113-4<br> </p> <p><strong>Organization of data</strong></p> <p>The dataset is packaged into a single Zipfile <em>Helsinki_dynpop_matrix.zip</em> which contains following files:</p> <ol> <li> <em>HMA_Dynamic_population_24H_workdays.csv</em> represents the dynamic population for average workday in the study area.</li> <li> <em>HMA_Dynamic_population_24H_sat.csv</em> represents the dynamic population for average saturday in the study area.</li> <li> <em>HMA_Dynamic_population_24H_sun.csv</em> represents the dynamic population for average sunday in the study area.</li> <li><em>target_zones_grid250m_EPSG3067.geojson</em> represents the statistical grid in ETRS89/ETRS-TM35FIN projection that can be used to visualize the data on a map using e.g. QGIS.</li> </ol> <p><strong>Column names</strong></p> <ol> <li><em>YKR_ID </em>: a unique identifier for each statistical grid cell (n=13,231). The identifier is compatible with the statistical YKR grid cell data by Statistics Finland and Finnish Environment Institute.</li> <li><em>H0, H1 ... H23 </em>: Each field represents the proportional distribution of the total population in the study area between grid cells during a one-hour period. In total, 24 fields are formatted as “Hx”, where x stands for the hour of the day (values ranging from 0-23). For example, H0 stands for the first hour of the day: 00:00 - 00:59. <br> The sum of all cell values for each field equals to 100 (i.e. 100% of total population for each one-hour period)</li> </ol> <p>In order to visualize the data on a map, the result tables can be joined with the <em>target_zones_grid250m_EPSG3067.geojson</em> data. The data can be joined by using the field <em>YKR_ID</em> as a common key between the datasets.</p> <p><strong>License</strong><br> Creative Commons Attribution 4.0 International.</p> <p><strong>Related datasets</strong></p> <ul> <li>Järv, Olle; Tenkanen, Henrikki & Toivonen, Tuuli. (2017). Multi-temporal function-based dasymetric interpolation tool for mobile phone data. Zenodo. https://doi.org/10.5281/zenodo.252612</li> <li>Tenkanen, Henrikki, & Toivonen, Tuuli. (2019). Helsinki Region Travel Time Matrix [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247564</li> </ul> <p><br> </p>
Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas
<p>Networks used in the paper <em>Quantifying the importance and location of SARS-CoV-2 transmission events in large metropolitan areas</em>.</p>
Fig. 3 in Contribution to the knowledge of Lestes macrostigma (Eversmann, 1836) (Odonata: Lestidae) in the metropolitan area of Seville, Southern Spain
Fig. 3.- Tandem of Lestes macrostigma laying eggs on Typha
Chlamydia-like organisms in Bufo bufo tadpoles from ponds located in the Geneva metropolitan area
<p>Sequences of the <em>Chlamydia</em>-like organisms from the <em>Bufo bufo</em> tadpole populations sampled in the metropolitan area of Geneva.</p>
Time Series Analysis of a Daytime Urban Heat Island in Dar es Salaam Metropolitan Areas.
<p>The study aimed to determine the existing linear influence levels of various causative factors of Urban Heat Island (UHI) by using Geographically Weighted Regression Model (GWR) that determines non-stationarity by generating a new equation for each sample size. Urban heat island occurs when higher temperatures reside in urban areas compared to surrounding areas due to the replacement of natural vegetation with construction materials during development purposes. Time Series with Linear Regression was used to determine the linearity between dependent and independent variables. Moderate Resolution Imaging Spectroradiometer (MODIS) products such as MOD11A1, MCD43A1, MOD09A1 and MOD13A1 were used to acquire Land Surface Temperature (LST), Albedo, Indexed-Based Built-Up Index (IBI) and Enhanced Vegetation Index (EVI) respectively. In-situ datasets of the wind speed were acquired from Tanzania Meteorological Agency (TMA). UHI was observed to have a non-linear trend with IBI and wind speed and a linear trend with Albedo and EVI. The strongest values of UHI were observed at the city center, IBI was observed as a leading causative factor by having a non-lineality influence of 0.023 followed by Albedo, wind speed and EVI with an influence of 0.019, 0.016 and -0.015 respectively. Since IBI and Albedo contribute more to the development of heat island, urban residents should be encouraged to use construction materials with a lower absorption rate of solar energy.</p>
Statistics of difference product by census tracts and metropolitan statistical areas
<p>Statistics of difference product by census tracts: Statistics_by_census_tracts.shp</p> <p>Statistics of difference product by Metropolitan Statistical Areas: Statistics_by_Metropolitan_Statistical_Areas.shp</p>
Supplementary Material: Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area
<p>Seismic waves can couple with the atmosphere and generate sound waves. The influence of faulting mechanisms on earthquake sound patterns provides opportunities for earthquake source characterization. Sound radiated from earthquakes can be perceived as disturbing, even at low ground-shaking levels, which can negatively impact the social acceptance of geoengineering applications. Motivated by consistent reports of felt and heard disturbances associated with the weeks-long stimulation of a 6-km-deep geothermal system in 2018 below the Otaniemi district of Espoo, Helsinki, we conduct fully coupled 3D numerical simulations of wave propagation in the solid Earth and the atmosphere. We assess the sensitivity of the ground shaking and audible noise distributions to the source geometry of the induced earthquakes based on the properties of the largest local magnitude ML 1.8 event. Utilizing recent computational advances and the open-source software SeisSol, we model seismoacoustic frequencies up to 25 Hz, thereby reaching the lower limit of the audible sound frequency range. We present synthetic distributions of shaking and audible sounds at the 50–100 m scale across a 12 km × 12 km area and discuss implications for better under- standing seismic nuisances in metropolitan regions. In five 3D coupled elastic–acoustic scenario simulations that include data on topography and subsurface structure, we analyze the ground velocity and pressure levels of earthquake-generated seismic and acoustic waves. We show that S waves generate the strongest sound disturbance with sound pressure levels ≤ 0.04 Pa. We use statistical analysis to compare our noise distributions with commonly used empirical relationships. We find that our 3D synthetic amplitudes are generally smaller than the empirical predictions and that the interaction of the source mechanism-specific radiation pattern and topography can lead to significant nonlinear effects. Our study highlights the complexity and information content of spatially variable audible effects associated with small induced earthquakes on local scales.</p>
Localized uplift, widespread subsidence and implications for sea level rise in the NYC Metropolitan Area
<p>Regional relative sea level rise is exacerbating flooding hazards in the coastal zone. In addition to changes in the ocean, vertical land motion (VLM) is a driver of spatial variation in sea-level change that can either diminish or enhance flood risk. Here we apply state-of-the-art Interferometric Synthetic Aperture Radar (InSAR) and global navigation satellite system (GNSS) time-series analysis to estimate velocities and corresponding uncertainties at 30 m resolution in the New York City Metropolitan Area, revealing VLM with unprecedented detail. We find broad subsidence of 1.6 mm/yr consistent with glacial isostatic adjustment to the melting of the former ice sheets, and previously undocumented hotspots of both subsidence and uplift that can be physically explained in some locations. Our results inform ongoing efforts to adapt to sea-level rise and reveal points of VLM that motivate both future scientific investigations into surface geology and assessments of engineering projects.</p>
Localized uplift, widespread subsidence and implications for sea level rise in the NYC Metropolitan Area
Open the record for dataset details and reuse information.
American Residential Macrosystems - Lawn plant data within residential yards in seven major metropolitan areas, 2012-2015
"In seven major U.S. metropolitan cities (Boston, Baltimore, Los Angeles, Miami, Minneapolis/St. Paul, Salt Lake City, and Phoenix), 1m2 plots were sampled in residential front and backyards, as well as nearby natural areas, in order to evaluate the plant community composition, diversity, and percent cover of plant species. In addition, in Los Angeles and Salt Lake City, full yard plant communities were also sampled for a plant community of the entire yard. "
American Residential Macrosystems - Soil chemistry data within residential yards in six major metropolitan areas, 2012-2013
"In six major U.S. metropolitan cities (Boston, Baltimore, Los Angeles, Miami, Minneapolis/St. Paul, and Phoenix), 1-meter soil cores were collected to evaluate soil microbial carbon and nitrogen cycle processes that are sensitive to land management. Laboratory methods followed those used by Raciti et al. (2011a,b) to measure microbial biomass carbon and nitrogen content, microbial respiration, potential net nitrogen mineralization, potential net nitrification, potential denitrification, and pools of extractable ammonium and nitrate. "
MODIS/ASTER (MASTER) imagery and derived data in select neighborhoods of the greater Phoenix metropolitan area
A data collection campaign using the MODIS/ASTER airborne simulator (MASTER) was conducted in the greater Phoenix metropolitan area in July 2011 to collect visible through mid-infrared multispectral imagery. High resolution (7 m/pixel) land surface temperature products for day and night periods were calculated using the mid-infrared bands of data; surface reflectance, albedo, and Normalized Difference Vegetation Index (NDVI) products were calculated using the visible through shortwave infrared band data for 41 select neighborhoods. While the full MASTER dataset has been processed to at-sensor radiance, it did not include native geolocation data. As georeferencing the entire dataset was not possible with funds available, the processed data described above were extracted for the 41 spatially discrete Phoenix Area Social Survey neighborhoods within the MASTER flight boundary.
North Desert Village Experiment - a landscaping experiment in neighborhoods of the greater Phoenix metropolitan area: 2003-2014
The North Desert Village (NDV) landscape experiment at the Arizona State University Polytechnic campus was designed to give a platform for CAP LTER researchers to study human–landscape interactions. Four residential landscape design and water-delivery types established in blocks of six households each (mini-neighborhoods) mirrored the four prevailing residential yardscape types found across the greater Phoenix metropolitan area: (1) Mesic: a mixture of exotic high water-use vegetation and shade trees with turf grass, (2) Oasis: a mixture of drip-watered, high and low water-use plants on granite substrate, and sprinkler-irrigated turf grass, (3) Xeric: individually watered, low water-use exotic and native plants on granite substrate, and (4) Native: native Sonoran desert plants on granite substrate without supplemental water. Six additional households are monitored in a control treatment area that did not receive landscaping treatment or supplemental water. Major research questions include: How do landscape design and irrigation methods affect net primary productivity and under-canopy microclimate, and soil nutrient pools and fluxes. In addition, the mini-neighborhoods at NDV were incorporated into CAP LTER biodiversity monitoring programs, facilitating insights into insect abundance and diversity, and bird activity in these experimental treatment areas. During summer 2005, the landscape and irrigation systems for each of the treatment areas were completed. During spring 2006, micrometeorological (micromet) stations were installed in the central common area of each treatment area. Data continually monitored included soil temperature, soil heat flux, and volumetric water content of soil at 30-cm depth. Air temperature at 2-m height and soil-surface temperature (recorded by an infrared thermometer at 2-m height) were also monitored regularly. Landscape irrigation water application volumes were recorded approximately monthly, and the electric meters of treatment-area dw
Desert Fertilization Experiment: composition of annual plants in study plots within desert preserves in and around the greater Phoenix metropolitan area, spring 2008
Launched in 2006 with support from the National Science Foundation (NSF) and leveraged by the CAP LTER, the Carbon and Nitrogen deposition (CNdep) project sought to answer the fundamental question of whether elemental cycles in urban ecosystems are qualitatively different from those in non-urban ecosystems. Ecosystem scientists, atmospheric chemists, and biogeochemists tested the hypothesis that distinct biogeochemical pathways result from elevated inorganic nitrogen and organic carbon deposition from the atmosphere to the land. To test the hypothesis, scientists examined the responsiveness of Sonoran desert ecosystems to nutrient enrichment by capitalizing on a gradient of atmospheric deposition in and around the greater Phoenix metropolitan area. Fifteen desert study sites were established, with five locations each west and east of the urban core, and in the urban core in desert preserves. In addition to the gradient of atmospheric deposition in and around the urban core, select study plots at each of the fifteen desert locations receive amendments of nitrogen, phosphorus, or nitrogen + phosphorus fertilizer. Measured variables include soil properties, perennial and annual plant growth, and atmospheric deposition of nitrogen. At the close of the initial grant period, the CAP LTER assumed responsibility for the project, renamed the Desert Fertilization Experiment, which provides a remarkable platform to study the long-term effects of nutrient enrichment on ecosystem properties. This data set features the composition of annual plants in subplots at project study sites assessed in spring 2008. These data are published independently of surveys of annual plants in subsequent years owing to slightly differnet methods employed in 2008 relative to other years. Investigators interested in annual plants composition data from other years, or for other Desert Fertilization Experiment data, should search the data repository for 'desert fertilization experiment'.
Desert Fertilization Experiment: inventory and biovolume of perennial plants in study plots within desert preserves in and around the greater Phoenix metropolitan area, spring 2012
Launched in 2006 with support from the National Science Foundation (NSF) and leveraged by the CAP LTER, the Carbon and Nitrogen deposition (CNdep) project sought to answer the fundamental question of whether elemental cycles in urban ecosystems are qualitatively different from those in non-urban ecosystems. Ecosystem scientists, atmospheric chemists, and biogeochemists tested the hypothesis that distinct biogeochemical pathways result from elevated inorganic nitrogen and organic carbon deposition from the atmosphere to the land. To test the hypothesis, scientists examined the responsiveness of Sonoran desert ecosystems to nutrient enrichment by capitalizing on a gradient of atmospheric deposition in and around the greater Phoenix metropolitan area. Fifteen desert study sites were established, with five locations each west and east of the urban core, and in the urban core in desert preserves. In addition to the gradient of atmospheric deposition in and around the urban core, select study plots at each of the fifteen desert locations receive amendments of nitrogen, phosphorus, or nitrogen + phosphorus fertilizer. Measured variables include soil properties, perennial and annual plant growth, and atmospheric deposition of nitrogen. At the close of the initial grant period, the CAP LTER assumed responsibility for the project, renamed the Desert Fertilization Experiment, which provides a remarkable platform to study the long-term effects of nutrient enrichment on ecosystem properties. This data set features an inventory and estimates of biovolume of perennial plants in control and nitrogen-amended study plots at project study sites. This assessment was conducted in spring 2012 and has not been repeated. As such, this particular set of data is published independently of on-going measurements at the study locations. Investigators interested in other Desert Fertilization Experiment data should search the data repository for 'desert fertilization experiment'.
Desert Fertilization Experiment: soil pH in study plots within desert preserves in and around the greater Phoenix metropolitan area, 2010 and 2011
Launched in 2006 with support from the National Science Foundation (NSF) and leveraged by the CAP LTER, the Carbon and Nitrogen deposition (CNdep) project sought to answer the fundamental question of whether elemental cycles in urban ecosystems are qualitatively different from those in non-urban ecosystems. Ecosystem scientists, atmospheric chemists, and biogeochemists tested the hypothesis that distinct biogeochemical pathways result from elevated inorganic nitrogen and organic carbon deposition from the atmosphere to the land. To test the hypothesis, scientists examined the responsiveness of Sonoran desert ecosystems to nutrient enrichment by capitalizing on a gradient of atmospheric deposition in and around the greater Phoenix metropolitan area. Fifteen desert study sites were established, with five locations each west and east of the urban core, and in the urban core in desert preserves. In addition to the gradient of atmospheric deposition in and around the urban core, select study plots at each of the fifteen desert locations receive amendments of nitrogen, phosphorus, or nitrogen + phosphorus fertilizer. Measured variables include soil properties, perennial and annual plant growth, and atmospheric deposition of nitrogen. At the close of the initial grant period, the CAP LTER assumed responsibility for the project, renamed the Desert Fertilization Experiment, which provides a remarkable platform to study the long-term effects of nutrient enrichment on ecosystem properties. This data set features soil pH collected in study plots at project study sites during 2010 and 2011. These data include a snapshot from two years of the long-term experiment. As such, this particular set of data is published independently of on-going measurements at the study locations. Investigators interested in other Desert Fertilization Experiment data should search the data repository for 'desert fertilization experiment'.
Input and output files for WRF urban simulations for the metropolitan area of Tel-Aviv
<p><span><span>We implement and verify for the first time four Weather Research and Forecasting model urban configurations, </span></span><span><span>focused on the coastal metropolitan area of Tel-Aviv (MTA) using updated land use and morphological maps. We analyze the mesoscale summertime flow and the urban canopy (UC) role in the occurrence of different hodograph dynamics observed within MTA at night. These events may be significant in air quality research. The four configurations – bulk (MM), single-layer (SLUCM), multi-layer (BEP), and BEP coupled with the building energy model – reproduce the observed diurnal temperature and wind cycles, with similar 10m wind direction bias and RMSE (15<sup>o</sup> and ~30<sup>o</sup>, respectively), with preference for MM and SLUCM at night. However, the SLUCM shows the lowest skill for the 10m wind speed (WS) (bias and RMSE 1ms<sup>-1</sup>), and the BEP shows the largest underestimation of the 2m temperature, ~-2.5<sup>o</sup>C. In the SLUCM, the WS increases over an UC and with increasing building heights. These results call for a re-examination of the SLUCM WS parameterization. The simulations show that at night, a convergence line (CL) builds up with the urban heat island, downstream of the NW flow. West of the CL, the wind continues flowing from the sea, and rotates anti-clockwise to form a non-elliptical sea-breeze hodograph. Removing MTA UC restores an elliptical hodograph. East of the CL, the UC supports an elliptical hodograph with a clockwise rotation through the NE sector, previously reported as dynamically unstable. We expect such wind hodograph dynamics within similar coastal metropolitan areas.</span></span></p>
Data from: Signatures of rapid evolution in urban and rural transcriptomes of white-footed mice (Peromyscus leucopus) in the New York metropolitan area
Urbanization is a major cause of ecological degradation around the world, and human settlement in large cities is accelerating. New York City (NYC) is one of the oldest and most urbanized cities in North America, but still maintains 20% vegetation cover and substantial populations of some native wildlife. The white-footed mouse, Peromyscus leucopus, is a common resident of NYC's forest fragments and an emerging model system for examining the evolutionary consequences of urbanization. In this study, we developed transcriptomic resources for urban P. leucopus to examine evolutionary changes in protein-coding regions for an exemplar 'urban adapter'. We used Roche 454 GS FLX+ high throughput sequencing to derive transcriptomes from multiple tissues from individuals across both urban and rural populations. From these data, we identified 31,015 SNPs and several candidate genes potentially experiencing positive selection in urban populations of P. leucopus. These candidate genes are involved in xenobiotic metabolism, innate immune response, demethylation activity, and other important biological phenomena in novel urban environments. This study is one of the first to report candidate genes exhibiting signatures of directional selection in divergent urban ecosystems.
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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)
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.