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ELITE emissivity: global land 1km 8-day BBE at SIN Grid (2010)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global land BBE product at 1km spatial resolution and 8-day temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2015 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2014; 2016).</p> <p>This is the ELITE BBE product in 2010. Please <strong><em>click here</em></strong> to download the ELITE BBE product in 2009 and <strong><em>click here</em></strong> to download the ELITE LST product in 2011.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 1 km</li> <li>Temporal Resolution: 8-day</li> <li>Data Format: HDF</li> <li>Scale: 0.0001</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2014). Estimating the broadband longwave emissivity of global bare soil from the MODIS shortwave albedo product.<em> Journal of Geophysical Research Atmospheres</em>, 119(2), 614-634.</li> <li>Cheng, J., Liang, S., Verhoef, W., Shi, S., & Liu, Q. (2016). Estimating the Hemispherical Broadband Longwave Emissivity of Global Vegetated Surfaces Using a Radiative Transfer Model. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54(2), 905-917.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).</p>
ELITE emissivity: global land 0.05° CMG 8-day BBE (2010)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE global land BBE product at 0.05° spatial resolution and 8-day temporal resolution. It is provided on a climate modeling grid (CMG) and ranges from 1981 to 2022 (continuously updated). This dataset was generated from the Advanced Very High Resolution Radiometer (AVHRR) data using the algorithm developed by Cheng et al. (2013).</p> <p>This is the ELITE BBE product in 2010. Please <strong><em>click here</em></strong> to download the ELITE BBE product in 2009 and <strong><em>click here</em></strong> to download the ELITE LST product in 2011.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: Global</li> <li>Temporal Coverage: 2010</li> <li>Spatial Resolution: 0.05°</li> <li>Temporal Resolution: 8-day</li> <li>Data Format: HDF</li> <li>Scale: 0.0001</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Cheng, J., & Liang, S. (2013). Estimating global land surface broadband thermal-infrared emissivity from the Advanced Very High Resolution Radiometer optical data. <em> </em> <em>International Journal of Digital Earth,</em> 6(2), 34-49.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).</p>
ELITE land surface temperature: hourly seamless 0.02° LST over East Asia (2017)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the 0.02 ° hourly seamless LST dataset over East Asia (2016-2021). Firstly, the iTES algorithm is employed to retrieve the Himawari-8/AHI LST. Secondly, the CLDAS LST is corrected to eliminate its system deviation. Finally, the multi-scale Kalman filter is employed to fuse Himawari-8/AHI LST and the bias-corrected CLDAS LST to generate 0.02 ° hourly seamless LST. The in situ validation results show that the root mean square error (RMSE) of the seamless LST is about 3k. The temporal resolution and spatial resolution of this dataset are 1 hour and 0.02°, respectively.</p> <p>This is the ELITE seamless LST product in 2017. Please <a href="https://zenodo.org/record/7306248"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2016 and <a href="https://zenodo.org/record/8256087"><strong><em>click here</em></strong></a> to download the ELITE LST product in 2018.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: East Asia (0-60°N, 80°E-140°E)</li> <li>Temporal Coverage: 2017</li> <li>Spatial Resolution: 0.02 °</li> <li>Temporal Resolution: one hour</li> <li>Data Format: Geotiff</li> <li>Scale: 0.01</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Dong, S., Cheng, J., Shi, J., Shi, C., Sun, S., & Liu, W. (2022). A Data Fusion Method for Generating Hourly Seamless Land Surface Temperature from Himawari-8 AHI Data. Remote Sensing, 14, 5170</li> <li>Zhou, S., & Cheng, J. (2020). An Improved Temperature and Emissivity Separation Algorithm for the Advanced Himawari Imager. IEEE Transactions on Geoscience and Remote Sensing, 58(10), 7105-7124.</li> </ol> <p>If you have any questions, please contact Prof. Jie Cheng (Jie_Cheng@bnu.edu.cn).</p> <p> </p>
This Land is Your Land, This Could Be Marsh Land: Property Parcel Characteristics of Marsh Migration Corridors in Rhode Island, USA
<p>These data on Rhode Island property parcels and salt marsh migration projections support a project analyzing their overlap. Salt marshes, critical habitats offering many ecosystem services, are threatened by development, sea level rise (SLR) and other anthropogenic stressors that are projected to worsen. As seas rise, some salt marshes can migrate inland if there is adjacent, permeable, undeveloped land available. Facilitating marsh migration is necessary for coastal resilience efforts, but extensive coastal development can make finding suitable migration corridors challenging. This work seeks to characterize the changes in land use, ownership, and economic value at the property parcel level within projected 2050 marsh extent for the state of Rhode Island, USA. We find that most parcels currently containing salt marsh are publicly owned, whereas most adjacent parcels projected to contain new salt marsh in 2050 are privately owned. Additionally, parcels containing new marsh in 2050 have 47% higher per-hectare assessed values than parcels containing current marsh. We describe the locations and characteristics of parcels within migration corridors with the lowest per-hectare values that may be the most cost-effective for marsh conservation practitioners to protect. This study highlights the expanding land use types and landowner sets that will be involved in marsh conservation decisions, and the economic value of potential migration corridors where costly tradeoffs may be necessary to promote coastal resilience.</p>
ELITE land surface temperature: seamless 1km LST over China (2002)
<p>The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (<a href="https://elite.bnu.edu.cn">https://elite.bnu.edu.cn</a>).</p> <p>This dataset is the ELITE seamless 1km LST over China landmass (2002-2020). Firstly, a look-up-table-based empirical retrieval algorithm is developed for retrieving microwave LST from AMSR-E/AMSR2 observations. Then, AMSR-E/AMSR2 LST is downscaled using the geographically weighted regression to obtain 1km LST. Finally, the multi-scale kalman filter is used to fuse MODIS LST and AMSR-E/AMSR2 LST to generate a 1km seamless LST data set. The ground valuation results show that the root mean square error (RMSE) of the 1km seamless LST is about 3K. In addition, the spatial distribution of the 1km seamless LST is consistent with MODIS LST and CLDAS LST.</p> <p>This is the seamless LST dataset in 2002. Please <a href="https://zenodo.org/record/8271722"><em><strong>click here</strong></em></a> to download the ELITE LST product in 2003.</p> <p><strong>Dataset Characteristics:</strong></p> <ul> <li>Spatial Coverage: China</li> <li>Temporal Coverage: 2002</li> <li>Spatial Resolution: 1 KM</li> <li>Temporal Resolution: 2 times per day</li> <li>Data Format: hdf</li> <li>Scale: 0.02</li> </ul> <p><strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong></p> <ol> <li>Xu, S., & Cheng, J. (2021). A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering. Remote Sensing of Environment, 254, 112256</li> <li>Zhang, Q., Wang, N., Cheng, J., & Xu, S. (2020). A Stepwise Downscaling Method for Generating High-Resolution Land Surface Temperature From AMSR-E Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 5669-5681 </li> <li>Zhang, Q., & Cheng, J. (2020). An Empirical Algorithm for Retrieving Land Surface Temperature From AMSR-E Data Considering the Comprehensive Effects of Environmental Variables. Earth and Space Science, 7, e2019EA001006. https://doi.org/10.1029/2019EA001006 </li> </ol> <p> </p> <p>If you have any questions, please contact Prof. Jie Cheng (<a href="mailto:Jie_Cheng@bnu.edu.cn">Jie_Cheng@bnu.edu.cn</a>).</p>
Amazon land use duration
<p><strong> We access the land use and land cover time series product available for the Amazon for the year 1985-2019 (MapBiomass collection 6). The MapBiomas is based on the classification of Landsat images, map of annual land use and land cover at 30 m spatial resolution. We initially classified each pixel in each plot within site following MapBiomaClass and we reclassified in Forest, Secondary-forest, deforestation and others for each year in a temporal series 1985-2019. The land use duration was calculated as the number of years that the pixel was classified as non-forest cover. </strong></p>
Data used for modeling in Energy-water-land-CCUS nexus model: carbon dioxide opportunities based on optimized regional development
<p>In this dataset, the data used for modeling technologies in an energy-water-land-CCUS nexus model in Khark Island in Iran, and the main sources for gathering them are presented.</p>
Labels for land cover classification for Sentinel 2 images in livestock farms
<p>Land cover data labeling for 2022 Sentinel 2 images in livestock farms, mostly in different agroclimatic regions of Spain. The data has a resolution of 10m and the label values correspond to:</p> <ul> <li>0: Unproductive.</li> <li>1: Woodland.</li> <li>2: Pasture.</li> </ul> <p>Dataset produced within the <a href="https://ai4copernicus-project.eu/">AI4Copernicus</a> European H2020 project.</p>
Data from: The combined effects of treated sewage discharge and land use on rivers
<p>Freshwater ecosystems are increasingly threatened by multiple anthropogenic stressors. Release of treated sewage effluent and pollution from agricultural or urban sources can independently reduce water quality with implications for ecological communities. However, our knowledge of the combined effects of these stressors is limited. We performed a field study to quantify the combined effect of treated sewage discharge and land use on nutrient concentrations, sewage fungus presence, and communities of macroinvertebrates and benthic algae. Over three seasons in four rivers we found that a model which included an interaction between sewage pollution and time of the year (i.e., months) was the best predictor of nutrient concentrations and the abundance of algae and sewage fungus. Both macroinvertebrate and algae communities shifted downstream of sewage input. Specifically, more tolerant groups, such as cyanobacteria and Oligochaetes, were more abundant. The EPT (Ephemeroptera, Plecoptera, and Tricoptera) water quality score was best explained by an interaction between month and agriculture in the surrounding landscape. Overall, our results show that sewage discharge has a significant impact on water quality and benthic riverine communities, regardless of the surrounding land uses. Agricultural inputs, however, could be more important than treated sewage discharge in reducing the abundance of sensitive invertebrate taxa. We need both improvements to wastewater treatment processes and reductions in agricultural pollution to reduce threats to vulnerable freshwater communities.</p>
White-tailed deer responses to predator cues depend upon past land use and contemporary fire regime
<p>Prey can assess immediate risk of predation by detecting cues of predator presence, and it is expected that prey should invest in costly antipredator behaviors when a cue of predator presence is detected. Features of the habitat in which the cue is detected, such as vegetative concealment, serve as indirect cues of risk and can mediate how prey respond to direct cues of predator presence. Past agricultural land use and contemporary fire regime are common disturbances that may modify prey perceptions of risk and could therefore alter prey responses to direct cues of predator presence. We examined whether the overlap of these two disturbances affected white-tailed deer (<em>Odocoileus virginianus</em>) responses to cues of predator presence by measuring deer vigilance and foraging bout duration in response to coyote (<em>Canis latrans</em>) vocalizations across 20 woodlands that varied in past land use and contemporary fire regime. Frequent fire regimes consistently increased deer visibility to predators across both land-use history contexts. Deer exhibited no behavioral response to the predator cue in habitats containing infrequent fire regimes or agricultural legacies. Deer responded to the cue in frequently burned woodlands without agricultural legacies through increased vigilance and duration spent at a foraging location. These findings reveal that land-use legacies and contemporary fire regimes can mediate how prey respond to direct cues of risk. They also suggest that prey may balance the uncertainty associated with cues of predation risk with the urgency of responding to a potential attack by being vigilant and remaining in place.</p>
Data observed at Kawajima land subsidence observatory (Japan) and ensemble model
<p>This data set contains all data necessary to reproduce the results of the manuscript submitted by Akitaya & Aichi. The data set includes hydraulic head and land subsidence data observed at the Kawajima land subsidence observatory (Japan), and an ensemble model parameter set constructed using the evolutionary multimodal algorithm, ensemble simulation results, and predictive uncertainty analysis results obtained through ensemble model output statistics. Please refer to the "readme.txt" file provided in each individual folder for detailed instructions on how to read the data.</p>
FIGURE 7 in Multigene phylogeny reveals the ribbed shell morphotypes in the land snail genus Sarika (Eupulmonata: Ariophantidae), with description of two new species from Thailand and Myanmar
FIGURE 7 Shell and body variation in Sarika siamensis.
Land Policy Research Topics in a Century: A Bibliometric Journal Publication in Scopus
<p>This data is supplementary of manuscriptt titled Land Policy Research Topics in a Century: A Bibliometric Journal Publication in Scopus</p>
Runoff threshold responses in continental Boreal catchments: Nexus of sub-humid climate, low-relief, surficial geology and land cover
<p>Revision in journal Water Resources Research,Paper # 2023WR034752RR</p> <p>the publication doi: <a href="https://doi.org/10.1029/2023WR034752">doi.org/10.1029/2023WR034752</a></p> <p>Abstract</p> <p>We examined annual runoff from 20 meso-scale catchments over 25 years, to elucidate how interactions between physiography and long-term weather patterns influence the magnitude of spatial-temporal thresholds in annual runoff responses in water-limited, low-relief, glaciated continental Boreal landscapes. Annual runoff ranged over two orders of magnitude (<3 to >300 mm) among catchments receiving similar annual precipitation. Threshold relationships were observed with cumulative regional moisture deficits that reflected spatial-temporal differences in effective storage and antecedent moisture among catchments with differing portions of glacial-deposit and land-cover types. The importance of the glacial-deposit texture and forest-peatland cover on runoff behavior among catchments varied with weather patterns and catchment antecedent moisture states. Dry states yielded low annual runoff that ranged by two orders of magnitude (0 to 80 mm), with higher values in catchments with predominantly coarse-textured deposits. During near normal antecedent moisture, annual runoff remained low (<10 mm) in catchments associated with fine-textured, hummocky landforms and deciduous forests. Annual runoff >10 mm was observed only in catchments with extensive peatlands. Infrequent wet states resulted in increased runoff in all catchments; however, ranges in maximum runoff were associated with heterogeneity in catchment landforms and land covers. Integrating cumulative precipitation with the proportion of glacial-deposit and land-cover types within catchments can: 1) represent water cycling and regional sink-source dynamics controlling runoff, and 2) provide an effective management framework for predicting climate and land-use impacts on regional runoff in water-limited, low-relief, glaciated landscapes such as the Boreal Plain.</p>
Dataset to study "Understanding rural communities' narratives of land abandonment and its consequences on nature's contributions to people in a biocultural landscape in Spain"
<p>This dataset includes the raw data of a survey of 203 local residents in the region of Las Hurdes, Spain. The dataset sheet presents respondents' Linkages toward traditional land uses, Land abandonment perception and impacts, main agricultural practices, and socio-demographic characteristics (age, education level, place of residence, etc). The survey was carried out by face-to-face and the data compilation was done manually. The complete method is described in: Quintas‑Soriano, C., Torralba, M., García‑Martín, M., Plieninger, T., (2023): Narratives of land abandonment in a biocultural landscape of Spain. Regional Environmental Change, in press.</p> <p>In this upload you can find 2 files:</p> <p>1- Database: this file contains the dataset with all the valid responses to the survey. blank spaces mean that the question was left unanswered by the respondents.</p> <p>2- Document of the face-to-face survey with all the questions and panels used for the social sampling.</p>
Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use
<p><span>There is an increasing emphasis in</span><span> conservation strategies for large carnivores on facilitating their coexistence with humans.</span> <span>Justification for coexistence</span><span> strategies should be based on a quantitative assessment of currently remaining large carnivores in human-dominated landscapes. An essential part of a carnivore's coexistence strategy has to rely on its prey</span><span>. In this research, we studied snow leopards <em>Panthera uncia</em> whose habitat mainly comprises human-dominated, unprotected areas, to understand how a large carnivore and its primary prey, the bharal <em>Pseudois nayaur</em>, could coexist with human land use activities in a large proportion of its range. Using a combination of livestock census, camera trapping and wildlife surveys, across a broad gradient of </span><span>livestock grazing intensity in a 363,000 km<sup>2</sup> landscape on the Tibetan Plateau, </span><span>we found no evidence of livestock grazing impacts on snow leopard habitat use, bharal density and spatial distribution, even though livestock density was 13 times higher than bharal density.</span><span> Bharal were found to prefer utilizing more rugged habitats at higher elevations with lower grass forage conditions, whereas livestock dominated in flat valleys at lower elevations with higher productivity, especially during the resource-scarce season. These findings suggest that the spatial niche separation between bharal and livestock, together with snow leopards' specialized bharal diet, minimized conflicts and allowed snow leopards and bharal to coexist in landscapes dominated by livestock grazing. In recent years, reduced hunting and nomadic herder's lifestyle changes towards permanent residence may have further reinforced this spatial separation.</span><span> Our</span><span> results indicated that, </span><span>for developing conservation strategies for large carnivores, the niche of their prey in relation to human land-use is a key variable that needs to be evaluated.</span></p>
Model output data to "Land surface modeling in the Himalayas: on the importance of evaporative fluxes for the water balance of a high elevation catchment"
<p>We provide i) gridded initial conditions (.tif), ii) modeled gridded monthly outputs (.tif), and iii) modeled hourly outputs at the station locations (.txt) for the hydrological year 2019. Information about the variables and units can be found in the figures (.png) associated to each dataset. Details about the datasets can be found in the original publication by Buri and others (2023).</p><p> </p><p>Buri, P., Fatichi, S., Shaw, T. E., Miles, E. S., McCarthy, M. J., Fyffe, C. L., ... & Pellicciotti, F. (2023). Land Surface Modeling in the Himalayas: On the Importance of Evaporative Fluxes for the Water Balance of a High‐Elevation Catchment. <i>Water Resources Research</i>, <i>59</i>(10), e2022WR033841. DOI: <a href="https://doi.org/10.1029/2022WR033841"><strong>10.1029/2022WR033841</strong></a></p>
Future land cover and land cover dynamic trajectories in China under anthropogenic and climate forcing in 8 SSP-RCP scenarios
<p>The projection of future land cover in 21st century in China and land cover dynamic trajectories in 8 SSP-RCP scenarios</p>
Overcoming the congenitally disadvantageous mutation through adaptation to environmental UV exposure in land snails
<p>Congenital fitness-disadvantageous mutations are not maintained in the population; they are purged from the population through processes such as purifying selection. However, these mutations could persist in the population as polymorphisms when it is advantageous for the individuals carrying them to adapt to a specific external environment. We tested this hypothesis using the dimorphic land snail <em>Euhadra peliomphala simodae</em> in Japan; these snails have dark or bright-coloured shells. The survival rate of dark snails at hatching was lower than that of the bright ones, as observed in the F1 progenies produced through crossing. Dark snails have a congenital fitness-disadvantageous mutation; however, they also have protection against ultraviolet radiation. They have a higher survival rate than the bright snails in a UV environment, as observed using the UV exposure experiments and UV transmittance measurements. This is a good example of a congenitally disadvantageous mutation that is advantageous for adapting to the external environment. These results explain the maintenance of polymorphism and highlight the genotypic and phenotypic diversity in the wild population.</p>
CS3 Experiment 5 Growth of ulva when integrating sea cucumber (Neostichopus grammatus) with abalone (Haliotis midae) in a land based IMTA system
<p>CS3 Experiment 5 Growth of ulva when integrating sea cucumber (Neostichopus grammatus) with abalone (Haliotis midae) in a land based IMTA system</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.