Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2,837
datasets available to search
ShareScore release 0.9.0
Dataset results
2,837 results for “Climate Data”
Data from: Regional variation in interior Alaskan boreal forests is driven by fire disturbance, topography, and climate
High latitude regions are warming rapidly with important ecological and societal consequences. Utilizing two landscape-scale datasets from interior Alaska, we compared patterns in forest structure in two regions with sharply differing fire disturbance, topography, and climate. Our goal was to evaluate a set of hypotheses concerning possible warming-driven changes in forest structure suggested by recent literature. We found essentially consistent habitat associations for the tree flora across two disparate study areas concomitant with considerable differences in observed patterns of forest structure and composition. Our results confirmed expected increases in broadleaved species occupancy and abundance in the warmer, more fire-affected study region along with considerably higher tree occupancy and abundance in high elevation areas there. However, contrary to our predictions, we found no evidence of expected reductions in conifer occupancy or increases in non-fire related tree mortality. Instead, both individual and combined tree species occupancy, density, abundance, and richness were considerably higher in the warmer, more fire-influenced region, except in the warmest, driest areas (steep and south-facing slopes at low elevation). Our comparison of two landscape-scale datasets suggests that changes in tree distribution and forest structure in interior Alaska will proceed unevenly, governed by a mosaic of site-dependent influences wherein forest community composition and species dominance will shift along different trajectories and at different rates according to variation in underlying landscape attributes. Although there were clear differences in forest structure between the two areas that were likely attributable to differences in growing season warmth and fire disturbance, we found scant support for the concept of an incipient, ongoing biome shift in interior Alaska resulting from impending diminution of boreal forest cover over the short to medium term. Indeed, we suggest that (depending on severity of disturbance dynamics and the rapidity of future warming) cooler areas of interior Alaska's forest may reasonably be expected to sustain marginal increases in forest cover with additional warming, at least in certain topographic positions (such as poorly drained basins and cool treeline sites) and/or geographic regions, prior to any landscape-scale diminution of forest cover due to warming.
Climatic niche shifts in 815 introduced plant species affect their predicted distributions: Data and scripts
<p class="CxSpFirst"><u>Aim:</u> Introduced species often occupy different climates in their introduced than their native range, but to what degree do such 'climatic niche shifts' interfere with our ability to predict invasions? Answering this question is crucial if we are to understand the threat invasive species pose to human and natural systems, especially given the ever increasing use of species distribution models as tools for invasive species risk assessment and management. Here we investigated how strongly climatic niche shifts interfered with the transferability of native- and introduced-range species distribution models.</p> <p class="CxSpMiddle"><u>Location:</u> Our dataset consisted of ~14 million occurrences distributed worldwide.</p> <p class="CxSpMiddle"><u>Time Period:</u> Occurrence data were collected from online repositories dating from ca. 1600 with the vast majority being from the 20<sup>th</sup> century. Climatic data represent means between 1970–2000.</p> <p class="CxSpMiddle"><u>Major Taxa Studied:</u> Our database represented 815 terrestrial plant species.</p> <p class="CxSpMiddle"><u>Methods:</u> We used ordination to identify climatic niche shifts as species moved between continents. Next, we trained separate MAXENT models using native- or introduced-range occurrences, and projected those models into each species' introduced range. We compared the ordination and MAXENT models to determine whether niche shifts were associated with errors in MAXENT predictions.</p> <p class="CxSpMiddle"><u>Results:</u> Models trained on native-range occurrences poorly predicted introduced-range occurrences, and transferability was lowest in species with large climatic niche shifts. Directional shifts in species' predicted geographic distributions mirrored their niche dynamics. This is concerning because native-range data are often used to predict introduced-range distributions.</p> <p><u>Main Conclusions: </u>Our results highlight the importance of considering niche shifts when modeling the potential geographic distributions of introduced species, and cast doubt on the assumption that the climatic niche of a species can be transferred between native and invasive ranges.</p>
Data from: Oscillayers: a dataset for the study of climatic oscillations over Plio-Pleistocene time scales at high spatial-temporal resolution
Motivation: In order to understand how species evolutionarily responded to Plio-Pleistocene climate oscillations (e.g. in terms of speciation, extinction, migration and adaptation), it is first important to have a good understanding of those past climate changes per se. This, however, is currently limited due to the lack of global-scale climatic datasets with high temporal resolution spanning the Plio-Pleistocene. To fill this gap, I here present Oscillayers, a global-scale and region-specific bioclim dataset, facilitating the study of climatic oscillations during the last 5.4 million years at high spatial (2.5 arc-minutes) and temporal (10 kyr time periods) resolution. This data set builds upon interpolated anomalies (Δ layers) between bioclim layers of the present and the Last Glacial Maximum (LGM) that are scaled relative to the Plio-Pleistocene global mean temperature curve, derived from benthic stable oxygen isotope ratios, to generate bioclim variables for 539 time periods. Evaluation of the scaled, interpolated estimates of palaeo-climates generated for the Holocene, Last Interglacial and Pliocene showed good agreement with independent General Circulation Models (GCMs) for respective time periods in terms of pattern correlation and absolute differences. Oscillayers thus provides a new tool for studying spatial-temporal patterns of evolutionary and ecological processes at high temporal and spatial resolution. Main types of variable contained: 19 bioclim variables for time periods throughout the Plio-Pleistocene. Input data and R script to recreate all 19 bioclim variables. Spatial location and grain: Global at 2.5 arc-minutes (4.65 x 4.65 = 21.62 km2 at the equator). Time period and grain: The last 5.4 million years. The grain is 10 kyr (= 539 time periods). Level of measurement: Data are for terrestrial climates (excluding Antarctica) taking sea level changes into account. Software format: All data are available as ASCII (ESRI) grid files.
Data for spatial and temporal refugia for an insect population declining due to climate change
<p>Insect declines have been reported worldwide, although the particular causes of the declines may be complex and are poorly understood. Meadow spittlebugs were one of the most abundant insects in the coastal prairie along the California coast 40 years ago but have largely disappeared. Evidence links this decline to changing climatic conditions, which have reduced survival of eggs and neonates. We identified several refugia where meadow spittlebug populations have persisted amidst unfavorable conditions. Protection from desiccating winds was the common attribute of these refugia. Following a wet year, adult meadow spittlebugs were able to disperse from one refuge that we studied to recolonize coastal prairie habitats, although populations declined over the next two drier years. Because of their previous high abundance, loss of meadow spittlebugs is likely to affect the functioning of this widespread habitat, including energy transfer, their host plants, and their predators. In addition, meadow spittlebugs are unusual in having been the subject of extensive physiological and long-term ecological data, so they can serve as a bellwether species, indicating the effects of climate change.</p>
Additional data simulations COSMO-CLM Russo et al. 2021, Climate of the Past
<p>The data presented here are the additional data used for the performance of the COSMO-CLM Mid-Holocene and Pre-Industrial simulations, used for the analysis of the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model".</p> <p>The data available here are:</p> <p>-ext_data_044.nc: The external parameters used for the simulations, including information on soil type, albedo, land mask, etc. <br> -W_SO_ref_half_rel_soil_moisture_18650401.nc: Soil Moisture at 50% saturation level on the first of April of the 15th year of the simulations. The data are used as reference for the simulation with different soil moisture.</p> <p> </p>
Data PI simulations COSMO-CLM Russo et al. 2021, Climate of the Past
<p>Postprocessed data of the PRE-Industrial (PI) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model".</p> <p>The structure of the directories of the data is as follow:</p> <p>--PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> <br> For more specific Information on the presented data, please refer to the corresponding paper:</p>
Data MH simulations COSMO-CLM Russo et al. 2021, Climate of the Past
<p>Postprocessed data of the Mid-Holocene (MH) simulations performed for the manuscript of Russo et al. 2021, submitted to the journal Climate of the Past and entitled: "The long-standing dilemma of European summer temperatures at the Mid-Holocene and other considerations on learning from the past for the future using a regional climate model".</p> <p>The structure of the directories of the data is as follow:</p> <p>--PPE_exp: data of the Physically Perturbed Ensembles<br> Inside this directory there are 3 subfolders:<br> -day_anm: daily mean anomalies<br> -mon_bias: decadal monthly means<br> -mon_fld: spatial averages of monthly means<br> In each of these subfolders, there are data for each of the considered variables:<br> -T_2M; CLCT; TOT_PREC<br> --soil_pert: sensitivity tests with different initial soil moisture on 1st of April at MH<br> soil_pert only has data for MH for T_2M<br> <br> For more specific Information on the presented data, [please refer to the corresponding paper.</p> <p> </p> <p> </p> <p> </p>
Data from: Novel and disappearing climates in the global surface ocean from 1800 to 2100
<p>Marine ecosystems are experiencing unprecedented warming and acidification caused by anthropogenic carbon dioxide. For the global sea surface, we quantified the degree that present climates are disappearing and novel climates (without recent analogs) are emerging, spanning from 1800 through different emission scenarios to 2100. We quantified the sea surface environment based on model estimates of carbonate chemistry and temperature. Between 1800 and 2000, no gridpoints on the ocean surface were estimated to have experienced an extreme degree of global disappearance or novelty. In other words, the majority of environmental shifts since 1800 were not novel, which is consistent with evidence that marine species have been able to track shifting environments via dispersal. However, between 2000 and 2100 under Representative Concentrations Pathway (RCP) 4.5 and 8.5 projections, 10–82% of the surface ocean is estimated to experience an extreme degree of global novelty. Additionally, 35–95% of the surface ocean is estimated to experience an extreme degree of global disappearance. These upward estimates of climate novelty and disappearance are larger than those predicted for terrestrial systems. Without mitigation, many species will face rapidly disappearing or novel climates that cannot be outpaced by dispersal and may require evolutionary adaptation to keep pace.</p>
Presence, precipitation, and temperature data used to estimate eastern forest songbird historical distributions using climatic niche modeling
<p>Boundaries between vegetation types, known as ecotones, can be dynamic in response to climatic changes. The North American Great Plains includes a forest-grassland ecotone in the south-central United States that has expanded and contracted in recent decades in response to historical periods of drought and pluvial conditions. This dynamic region also marks a western distributional limit for many passerine birds that typically breed in forests of the eastern United States. To better understand the influence that variability can exert on broad-scale biodiversity, we explored historical longitudinal shifts in the western extent of breeding ranges of eastern forest songbirds in response to the variable climate of the southern Great Plains. We used climatic niche modeling to estimate current distributional limits of nine species of forest-breeding passerines from 30-year average climate conditions from 1980 to 2010. During this time the southern Great Plains experienced an unprecedented wet period without periodic multi-year droughts that characterized the region's long-term climate from the early 1900s. Species' climatic niche models were then projected onto two historical drought periods: 1952–1958 and 1966–1972. Threshold models for each of the three time periods revealed dramatic breeding range contraction and expansion along the forest-grassland ecotone. Precipitation was the most important climate variable defining breeding ranges of these nine eastern forest songbirds. Range limits extended farther west into southern Great Plains during the more recent pluvial conditions of 1980–2010 and contracted during historical drought periods. An independent dataset from BBS was used to validate 1966–1972 range limit projections. Periods of lower precipitation in the forest-grassland ecotone are likely responsible for limiting the western extent of eastern forest songbird breeding distributions. Projected increases in temperature and drought conditions in the southern Great Plains associated with climate change may reverse range expansions observed in the past 30 years.</p>
Data from: Climate and vegetation structure shape ant communities along elevational gradients on the Colorado Plateau
<p><b>Aim:</b> Terrestrial animal communities are largely shaped by vegetation and climate. With climate also shaping vegetation, can we attribute animal patterns solely to climate? To understand this, we compare the relative and interactive effects of climate and vegetation on an animal community. Our study observes ant community changes along climatic gradients (i.e. elevational gradients) within different habitat types (i.e. open and forest). We compare the explanatory powers and effect sizes of climate and vegetation variables on ant communities and describe what drives elevational distributions of ant species.</p> <p><b>Location: </b>Colorado Plateau, southwestern United States</p> <p><b>Taxon: </b>Formicidae</p> <p><b>Methods: </b>We sampled ants and vegetation along two elevational gradients spanning 1132m with average annual temperature and precipitation differences of 5.7C<span>°</span> and 645 mm, respectively. Regression analysis and structural equation modeling was then used to test the relative effects of climate and vegetation variables on ant communities.</p> <p><b>Results: </b>Climate variables had the strongest correlations and the largest effect sizes on ant communities, while vegetation composition, richness, and primary productivity were relatively small. Precipitation was the strongest predictor for most ant community metrics. Ant richness and abundance had a negative relationship with precipitation in forested habitats, and positive in open habitats.</p> <p><b>Main conclusions: </b>Our results show strong direct climate effects on ants with little or no effects of vegetation composition or primary productivity, but contrasting patterns between vegetation type (i.e. forested vs open) with precipitation. This indicates vegetation structure can modulate climate responses of ant communities. Our study demonstrates climate-animal relationships may vary among vegetation types which can impact both findings from elevational studies and how communities will react to changes in climate.</p>
Supporting Data for Hahn et al. J. Climate: Seasonality in Arctic Warming Driven By Sea Ice Effective Heat Capacity
<p>This dataset includes CESM model experiment output for Hahn et al.: “Seasonality in Arctic Warming Driven By Sea Ice Effective Heat Capacity” submitted to Journal of Climate. Here we provide monthly climatologies averaged over the last thirty years for the Ice, No ice, and No ice, set albedo experiments with preindustrial and doubled CO<sub>2</sub> forcing. The variables hyam, hybm, and P0, useful for interpolating to pressure levels, are included in the FlatSOM1850.Q.nc file.</p>
Data from: A tale of two seasons: the link between seasonal migration and climatic niches in passerine birds.
<p class="MsoCommentText">The question of whether migratory birds track a specific climatic niche by seasonal movements has important implications for understanding the evolution of migration, the factors affecting species' distributions and the responses of migrants to climate change. Despite much research, previous studies of bird migration have produced mixed results. However, whether migrants track climate is only one half of the question, the other being why residents remain in the same geographic range year-round. We provide a literature overview and test the hypothesis of seasonal niche tracking by evaluating seasonal climatic niche overlap across 437 migratory and resident species from eight clades of passerine birds. Seasonal climatic niches were based on a new global dataset of breeding and non-breeding ranges. Overlap between climatic niches was quantified using ordination methods. We compared niche overlap of migratory species to two null expectations, 1) a scenario in which they do not migrate and 2) in comparison to the overlap experienced by closely related resident species, while controlling for breeding location and range size. Partly in accordance with the hypothesis of niche tracking, we found that the overlap of breeding vs. non-breeding climatic conditions in migratory species was greater than the overlap they would experience if they did not migrate. However, this was only true for migrants breeding outside the tropics and only relative to the overlap species would experience if they stayed in the breeding range year-round. In contrast to the hypothesis of niche tracking, migratory species experienced lower seasonal climatic niche overlap than resident species, with significant differences between tropical and non-tropical species. Our study suggests that in seasonal non-tropical environments migration away from the breeding range may serve to avoid seasonally harsh climate; however, different factors may drive seasonal movements in the climatically more stable tropical regions.</p>
GFDL-ESM2G Model data and scripts in support of "The deep ocean's role in climate and CO2 sensitivity"
<p>GFDL-ESM2G Model data and analysis scripts in support of the manuscript "The deep ocean's role in climate and CO2 sensitivity" by John Dunne and Lori Sentman submitted to Geophysical Research Letters including results from experiments with progressively shoaled maximum ocean depths of 4000 m to 1000 m in 500 m increments.</p>
Data for the manuscript entitled "AMOC variability and watermass transformations in the AWI climate model" by Sidorenko et al. 2021, submitted to JAMES
<p>Data is stored in a SHELVE persistent storage as produced in Python 3.7.4. The visualisation example is provided in a Jupyter Python Notebook.</p>
Data from: The sensitivity of Neotoma to climate change and biodiversity loss over the late Quaternary
<p>The late Quaternary was a time of considerable environmental change in North America. Not only was climate highly variable, but a megafaunal extinction at the terminal Pleistocene led to considerable loss of biodiversity. These combined perturbations likely had cascading effects across communities and ecosystems. Here, we focus on a detailed fossil record on the Edwards Plateau in Texas and the response of <em>Neotoma</em>, a genus of herbivorous rodents, to these environmental and ecological perturbations. We characterized changes in <em>Neotoma</em> body mass and diet across the past 20,000 years; body mass was estimated using measurements of fossil teeth and diet quantified using stable isotope analysis of carbon and nitrogen isotope from fossil bone collagen. We found that prior to ~7,000 cal yr BP, maximum mass was positively and significantly correlated to precipitation and negatively correlated to temperature. Independently, body mass was significantly and negatively correlated to communtiy composition becoming more similar to modern over time. Moreover, while <em>Neotoma</em> diet in the Pleistocene was primarily sourced from C<sub>3</sub> resources, it became progressively more reliant on C<sub>4</sub> (and potentially CAM) plants through the Holocene. The combination of decreasing population body mass and higher C<sub>4</sub>/CAM consumption was associated with a regional transition from a mesic forest to a xeric savanna grassland. Our results suggest that <em>Neotoma</em> during the terminal Pleistocene were responding to climatic factors through changes in body size, while changes in local resource availability during the Holocene likely led to changes in the relative abundance of different <em>Neotoma</em> species in the community. </p>
Data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change
<p>This folder will include data and model code for study: Mechanistic modelling of marsh seedling establishment provides a positive outlook for coastal wetland restoration under global climate change.</p>
Global Fire Weather Indices - supporting data for Jain et al. 2021, Nature Climate Change
<p>Daily fire weather indices (FWI and ISI, outputs of the Canadian Fire Weather Index System) from 1979-2020 at 0.25 deg resolution. This data supports the analysis in "Observed increases in extreme fire weather driven by atmospheric humidity and temperature", Jain et al. 2021, accepted for publication in Nature Climate Change.<br> <br> Variables were processed using inputs from the ERA5 Reanalysis (hourly surface data from 1979–2020, available from <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview">https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview</a>). FWI System indices were calculated using the CFFDRS R package using the overwintering procedure outlined in McElhinny et al. 2020. </p> <p>References</p> <p>McElhinny, M., Beckers, J. F., Hanes, C., Flannigan, M., and Jain, P.: A high-resolution reanalysis of global fire weather from 1979 to 2018 – overwintering the Drought Code, Earth Syst. Sci. Data, 12, 1823–1833, https://doi.org/10.5194/essd-12-1823-2020, 2020.</p> <p> </p> <p> </p> <p> </p>
Data for: Testing the match-mismatch hypothesis in bighorn sheep in the context of climate change
<p><span><span><span><span><span><span><span><span><span><span><span>In species with long gestation, females commit to reproduction several months before parturition. If cues driving conception date are uncoupled from spring conditions, parturition could be mistimed. Mismatch may increase with global change if the rate of temporal changes in autumn cues differs from the rate of change in spring conditions. Using 17 years of data on climate and vegetation phenology, we show that autumn temperature and precipitation, but not vegetation phenology, explain parturition date in bighorn sheep. Although autumn cues drive the timing of conception, they do not predict conditions at parturition in spring. We calculated the mismatch between individual parturition date and spring green-up, assessed whether mismatch increased over time and investigated the consequences of mismatch on lamb neonatal survival, weaning mass and overwinter survival. Mismatch fluctuated over time but showed no temporal trend. Temporal changes in green-up date did not lead to major fitness consequence of mismatch. Detailed data on individually marked animals revealed no effect of mismatch on neonatal or overwinter survival, but lamb weaning mass was negatively affected by mismatch. Capital breeders might be less sensitive to mismatch than income breeders because they are less dependent on daily food acquisition. Herbivores in seasonal environments may access sufficient forage to sustain lactation before or after the spring 'peak' green-up, and partly mitigate the consequences of a mismatch. Thus, the effect of phenological mismatch on fitness may be affected by species life-history, highlighting the complexity in quantifying trophic mismatches in the context of climate change. </span></span></span></span></span></span></span></span></span></span></span></p>
Data from: Niche width predicts extinction from climate change and vulnerability of tropical species
<p>Climate change may be a major threat to global biodiversity, especially to tropical species. Yet, why tropical species are more vulnerable to climate change remains unclear. Tropical species are thought to have narrower physiological tolerances to temperature, and they have already experienced a higher estimated frequency of climate-related local extinctions. These two patterns suggest that tropical species are more vulnerable to climate change because they have narrower thermal niche widths. However, no studies have tested whether species with narrower climatic niche widths for temperature have experienced more local extinctions, and if these narrower niche widths can explain the higher frequency of tropical local extinctions. Here, we test these ideas using resurvey data from 538 plant and animal species from 10 studies. We found that mean niche widths among species and the extent of climate change (increase in maximum annual temperatures) together explained most variation (>75%) in the frequency of local extinction among studies. Surprisingly, neither latitude nor occurrence in the tropics alone significantly predicted local extinction among studies, but latitude and niche widths were strongly inversely related. Niche width also significantly predicted local extinction among species, as well as among and (sometimes) within studies. Overall, niche width may offer a relatively simple and accessible predictor of the vulnerability of populations to climate change. Intriguingly, niche width has the best predictive power to explain extinction from global warming when it incorporates coldest yearly temperatures.</p>
Predator biomass, prey biomass landcover and climate data from spotted hyaena and lion sites in Africa
<p class="Thesisnormal">The spotted hyaena (<i>Crocuta crocuta</i> Erxleben) and the lion (<i>Panthera leo</i> Linnaeus) are two of the most abundant and charismatic large mammalian carnivores in Africa and yet both are experiencing declining populations and significant pressures from environmental change. However, with few exceptions, most studies have focused on influences upon spotted hyaena and lion populations within individual sites, rather than synthesising data from multiple locations. This has impeded the identification of over-arching trends behind the changing biomass of these large predators.</p> <p class="Thesisnormal">Using Partial Least Squares regression models, influences upon population biomass were therefore investigated, focusing upon prey biomass, temperature, precipitation and vegetation cover. Additionally, as both species are in competition with one other for food, the influence of competition and evidence of environmental partitioning were assessed.</p> <p class="Thesisnormal">Our results indicate that spotted hyaena<i> </i>biomass is more strongly influenced by environmental conditions than lion, with larger hyaena populations in areas with warmer winters, cooler summers, less drought and more semi-open vegetation cover.</p> <p class="Thesisnormal">Competition was found to have a negligible influence upon spotted hyaena and lion populations, and environmental partitioning is suggested, with spotted hyaena population biomass greater in areas with more semi-open vegetation cover. Moreover, spotted hyaena is most heavily influenced by the availability of medium-sized prey biomass, whereas lion is influenced more by large size prey biomass. Given the influences identified upon spotted hyaena populations in particular, the results of this study could be used to highlight populations potentially at greatest risk of decline, such as in areas with warming summers and increasingly arid conditions.</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.