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.
53
datasets available to search
ShareScore release 0.9.0
Dataset results
53 results for “satellite-based”
Datasets for 'Satellite-based quantification of nitrogen dioxide effects on vegetation productivity in China'
Open the record for dataset details and reuse information.
The NO2 monitoring data for "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020"
<p>The current dataset is about NO2 monitoring data used in Geohealth manuscript entitled "Satellite-based long-term spatiotemporal trends in ambient NO2 concentrations and attributable health burdens in China from 2005 to 2020". It was collected from the air quality monitoring stations administered by the China National Environmental Monitoring Center. </p>
A satellite-based mobile warning system to reduce interactions with an endangered species
Open the record for dataset details and reuse information.
Satellite-Based Estimates Reveal Widespread Forest Degradation in the Amazon
<p>This is the initial release of the repository containing the data used in the Global Change Biology article "Satellite-Based Estimates Reveal Widespread Forest Degradation in the Amazon" By Eric L Bullock, Curtis E. Woodcock, Carlos Souza Jr., and Pontus Olofsson. The github repository address is https://github.com/bullocke/amazon. </p>
Manuscript code & data: Foster et al. (2020) "Satellite-based monitoring of irrigation water use: assessing measurement errors and their implications for agricultural water management policy"
<p>Data to reproduce results presented in Foster, T., Mieno, T. and Brozovic, N. (2020). <em>Satellite-based monitoring of irrigation water use: assessing measurement errors and their implications for agricultural water management policy.</em> Water Resources Research. In Review. Files provide include:</p> <ul> <li>"ReviewMetadata_FosterWRR_2020.xlsx" - data needed to reproduce meta-analysis presented in the paper</li> <li>"MeasurementErrorCode_FosterWRR_2020.m" and "Foster2018_ProductionFunction.mat" - Matlab code and data needed to reproduce welfare loss analysis presented in the paper.</li> </ul>
Satellite-based reconstruction of the volcanic deposits during the December 2015 Etna eruption
<p>TADR&Volume.txt—TADR and Volume curves; Pre-eruptive_DEM.tiff—Pre-eruptive DEM; Residuals_GCP&DEM.txt—Terrain Residuals between GCP and DEM; 3D_deposits.tiff—3D Mapping of volcanic deposits.</p>
Goddard Satellite-Based Surface Turbulent Fluxes, 0.25 x 0.25 deg, Monthly Grid V3 (GSSTFM) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the fine resolution version of the previously released GSSTFM.2c. This is the Monthly product; data are projected to equidistant Grid that covers the globe at 0.25x00.25 degree cell size, resulting in data arrays of 1440x720 size. The monthly product is a result of averaging of a month worth of daily GSSTF3 files. Starting with Version 3, the "WB" variable, "lowest 500-m precipitable water" has been discontinued. The monthly temporal and one-degree spatial resolution of the product can be used to examining climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans. The short name for this product is GSSTFM.
Goddard Satellite-Based Surface Turbulent Fluxes Climatology, 0.25 x 0.25 deg, Seasonal Grid V3 (GSSTFSC) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the fine resolution version of the previously released GSSTFSC.2c. This is the Seasonal Climatology product; data are projected to equidistant Grid that covers the globe at 0.25x00.25 degree cell size, resulting in data arrays of 1440x720 size. Starting from previous Version 2c, these data have only one set of Combined data, "Set1". The Seasonal Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP".Starting with this Version 3, the "WB" variable, "lowest 500-m precipitable water" has been discontinued. The short name for this product is GSSTFSC.
Goddard Satellite-Based Surface Turbulent Fluxes, 0.25 x 0.25 deg, Daily Grid F10 V3 (GSSTF_F10) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version 3 (GSSTF3) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_3). The short name of this data set is GSSTF_F10.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Daily Grid, Satellite F14 V2c (GSSTF_F14) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version-2c (GSSTF 2c) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg, of this product has been released as Version 3. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_2c). The short name for this data set is GSSTF_F14.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Monthly Climatology, Set1 and NCEP V2c (GSSTFMC) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. GSSTF version 2b (Shie et al. 2010, Shie et al. 2009) generally agreed better with available ship measurements obtained from several field experiments in 1999 than GSSTF2 (Chou et al. 2003) did in all three flux components, i.e., latent heat flux [LHF], sensible heat flux [SHF], and wind stress [WST] (Shie 2010a,b). GSSTF2b was also found favorable, particularly for LHF and SHF, in an intercomparison study that accessed eleven products of ocean surface turbulent fluxes, in which GSSTF2 and GSSTF2b were also included (Brunke et al. 2011). However, a temporal trend appeared in the globally averaged LHF of GSSTF2b, particularly post year 2000. Shie (2010a,b) attributed the LHF trend to the trends originally found in the globally averaged SSM/I Tb's, i.e., Tb(19v), Tb(19h), Tb(22v) and Tb(37v), which were used to retrieve the GSSTF2b bottom-layer (the lowest atmospheric 500 meter layer) precipitable water [WB], then the surface specific humidity [Qa], and subsequently LHF. The SSM/I Tb's trends were recently found mainly due to the variations/trends of Earth incidence angle (EIA) in the SSM/I satellites (Hilburn and Shie 2011a,b). They have further developed an algorithm properly resolving the EIA problem and successfully reproducing the corrected Tb's by genuinely removing the "artifactitious" trends. An upgraded production of GSSTF2c (Shie et al. 2011) using the corrected Tb's has been completed very recently. GSSTF2c shows a significant improvement in the resultant WB, and subsequently the retrieved LHF - the temporal trends of WB and LHF are greatly reduced after the proper adjustments/treatments in the SSM/I Tb's (Shie and Hilburn 2011). In closing, we believe that the insightful "Rice Cooker Theory" by Shie (2010a,b), i.e., "To produce a good and trustworthy 'output product' (delicious 'cooked rice') depends not only on a well-functioned 'model/algorithm' ('rice cooker'), but also on a genuine and reliable 'input data' ('raw rice') with good quality" should help us better comprehend the impact of the improved Tb on the subsequently retrieved LHF of GSSTF2c. This is the Monthly Climatology product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. Starting with Version 2c, there is only one set of Combined data, "Set1". The Monthly Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP". A finer resolution, 0.25 deg, of this product has been released as Version 3. The monthly temporal and one-degree spatial resolution of the product can be used to examining climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans.The short name for this product is GSSTFMC.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Daily Grid, Satellite F11 V2c (GSSTF_F11) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version-2c (GSSTF 2c) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg, of this product has been released as Version 3. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_2c).The short name for this data set is GSSTF_F11.
Goddard Satellite-Based Surface Turbulent Fluxes, 0.25 x 0.25 deg, Daily Grid F13 V3 (GSSTF_F13) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version 3 (GSSTF3) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_3). The short name of this data set is GSSTF_F13.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Daily Grid, Satellite F10 V2c (GSSTF_F10) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version-2c (GSSTF 2c) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. A finer resolution, 0.25 deg, of this product has been released as Version 3. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_2c). The short name for this data set is GSSTF_F10.
Goddard Satellite-Based Surface Turbulent Fluxes Climatology, 0.25 x 0.25 deg, Yearly Grid V3 (GSSTFYC) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the fine resolution version of the previously released GSSTFYC.2c. This is the Yearly Climatology product; data are projected to equidistant Grid that covers the globe at 0.25x00.25 degree cell size, resulting in data arrays of 1440x720 size. Starting from previous Version 2c, these data have only one set of Combined data, "Set1". The Yearly Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP". Starting with this Version 3, the "WB" variable, "lowest 500-m precipitable water" has been discontinued. The short name for this product is GSSTFYC.
Goddard Satellite-Based Surface Turbulent Fluxes, 0.25 x 0.25 deg, Daily Grid F08 V3 (GSSTF_F08) at GES DISC
These data are part of the Goddard Satellite-based Surface Turbulent Fluxes Version 3 (GSSTF3) Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size. The daily fluxes are produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15), and then serve as input to the Combined daily fluxes (GSSTF_3). The short name of this data set is GSSTF_F08.
Goddard Satellite-Based Surface Turbulent Fluxes Climatology, 0.25 x 0.25 deg, Monthly Grid V3 (GSSTFMC) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the fine resolution version of the previously released GSSTFMC.2c. This is the Monthly Climatology product; data are projected to equidistant Grid that covers the globe at 0.25x00.25 degree cell size, resulting in data arrays of 1440x720 size. Starting from previous Version 2c, these data have only one set of Combined data, "Set1". The Monthly Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP". Starting with this Version 3, the "WB" variable, "lowest 500-m precipitable water" has been discontinued. The short name for this product is GSSTFMC.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Monthly Grid, Set1 and Interpolated Data V2c (GSSTFM) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. GSSTF version 2b (Shie et al. 2010, Shie et al. 2009) generally agreed better with available ship measurements obtained from several field experiments in 1999 than GSSTF2 (Chou et al. 2003) did in all three flux components, i.e., latent heat flux [LHF], sensible heat flux [SHF], and wind stress [WST] (Shie 2010a,b). GSSTF2b was also found favorable, particularly for LHF and SHF, in an intercomparison study that accessed eleven products of ocean surface turbulent fluxes, in which GSSTF2 and GSSTF2b were also included (Brunke et al. 2011). However, a temporal trend appeared in the globally averaged LHF of GSSTF2b, particularly post year 2000. Shie (2010a,b) attributed the LHF trend to the trends originally found in the globally averaged SSM/I Tb's, i.e., Tb(19v), Tb(19h), Tb(22v) and Tb(37v), which were used to retrieve the GSSTF2b bottom-layer (the lowest atmospheric 500 meter layer) precipitable water [WB], then the surface specific humidity [Qa], and subsequently LHF. The SSM/I Tb's trends were recently found mainly due to the variations/trends of Earth incidence angle (EIA) in the SSM/I satellites (Hilburn and Shie 2011a,b). They have further developed an algorithm properly resolving the EIA problem and successfully reproducing the corrected Tb's by genuinely removing the "artifactitious" trends. An upgraded production of GSSTF2c (Shie et al. 2011) using the corrected Tb's has been completed very recently. GSSTF2c shows a significant improvement in the resultant WB, and subsequently the retrieved LHF - the temporal trends of WB and LHF are greatly reduced after the proper adjustments/treatments in the SSM/I Tb's (Shie and Hilburn 2011). In closing, we believe that the insightful "Rice Cooker Theory" by Shie (2010a,b), i.e., "To produce a good and trustworthy 'output product' (delicious 'cooked rice') depends not only on a well-functioned 'model/algorithm' ('rice cooker'), but also on a genuine and reliable 'input data' ('raw rice') with good quality" should help us better comprehend the impact of the improved Tb on the subsequently retrieved LHF of GSSTF2c. This is the Monthly product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. The monthly product is a result of averaging of a month worth of daily GSSTF2c files. Starting with Version 2c, there is only one set of Combined data, "Set1". A finer resolution, 0.25 deg, of this product has been released as Version 3. The monthly temporal and one-degree spatial resolution of the product can be used to examining climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans. The short name for this product is GSSTFM.
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Seasonal Climatology, Set1 and NCEP V2c (GSSTFSC) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the Seasonal Climatology product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. The seasonal product is a result of averaging of three consecutive months: December-February, March-May, June-August, and September-November. There is one HDF-EOS5 file per season. A finer resolution, 0.25 deg, of this product has been released as Version 3. Starting with Version 2c, there is only one set of Combined data, "Set1". The Seasonal Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP". The seasonal temporal and one-degree spatial resolution of the product can be used to examining climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans.The short name for this product is GSSTFSC.
Goddard Satellite-Based Surface Turbulent Fluxes, 0.25 x 0.25 deg, Daily Grid V3 (GSSTF) at GES DISC
These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-3 (GSSTF3) Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This suite of GSSTF version 3 products is the 0.25x0.25 deg resolution version of the GSSTF 2c collections. It does not contain, however, the "WB" variable - 'lowest 500-m precipitable water' (g/cm**2). This is the Daily (24-hour) product; data are projected to equidistant Grid that covers the globe at 0.25 degree cell size, resulting in data arrays of 1440x720 size. As in previous versions, the daily fluxes have first been produced for each individual available SSM/I satellite tapes (e.g., F08, F10, F11, F13, F14 and F15). Then, the Combined daily fluxes are produced by averaging (equally weighted) over available flux data/files from various satellites. These Combined daily flux data are considered as the "final" GSSTF, Version 3, and are stored in this HDF-EOS5 collection. There are only one set of GSSTF, Version 3, Combined data, "Set1" The "individual" daily flux data files, produced for each individual satellite, are also available in HDF-EOS5, although from different collections: GSSTF_Fxx_3, where Fxx are the individual satellites (F08, F10, etc..) The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. Relevant to this MEaSUREs project, these are converted to HDF-EOS5, and are stored in the GSSTF_NCEP_3 collection. Please use these products with care and proper citations, i.e., properly indicating your applications with, e.g., "using the combined 2001 data file of Set1" or "using the 2001 F13 data file". APPENDIX SET1 --------------- The following list summarizes individual satellites used to produce the Combined SET1. (1) Y1987/: F08/ 1987/07-12: F08 (Note: 1987/12 is filled with missing value due to data scarcity) (2) Y1988/: F08/ 1988/01-12: F08 (3) Y1989/: F08/ 1989/01-12: F08 (4) Y1990: F08/ F10/ 1990/01-12: F08 (Note: F10 started in 1990/12, but N/A due to data scarcity) (5) Y1991/: F08/ F10/ 1991/01-12: F08+F10 (6) Y1992/: F10/ F11/ 1992/01-12: F10+F11 (7) Y1993/: F10/ F11/ 1993/01-12: F10+F11 (8) Y1994/: F10/ F11/ 1994/01-12: F10+F11 (9) Y1995/: F10/ F11/ F13/ 1995/01-12: 01-04: F10+F11 05-12: F10+F11+F13 (10) Y1996/: F10/ F11/ F13/ 1996/01-12: F10+F11+F13 (11) Y1997/: F10/ F11/ F13/ F14/ 1997/01-12: 01-04: F10+F11+F13 05/01-11/14: F10+F11+F13+F14 11/15-12/31: F11+F13+F14 (12) Y1998/: F11/ F13/ F14/ 1998/01-12: F11+F13+F14 (13) Y1999/: F11/ F13/ F14/ 1999/01-12: F11+F13+F14 (14) Y2000/: F11/ F13/ F14/ F15/ 2000/01-12: 01/01-05/16: F11+F13+F14+F15 05/17-12/31: F13+F14+F15 (15) Y2001/: F13/ F14/ F15/ 2001/01-12: F13+F14+F15 (16) Y2002/: F13/ F14/ F15/ 2002/01-12: F13+F14+F15 (17) Y2003/: F13/ F14/ F15/ 2003/01-12: F13+F14+F15 (18) Y2004/: F13/ F14/ F15/ 2004/01-12: F13+F14+F15 (19) Y2005/: F13/ F14/ F15/ 2005/01-12: F13+F14+F15 (20) Y2006/: F13/ F14/ F15/ 2006/01-12: F13+F14 (21) Y2007/: F13/ F14/ F15/ 2007/01-12: F13+F14 (22) Y2008/: F13/ F14/ F15/ 2008/01-12: 01-07: F13+F14 08-12: F13 Special notes: (a) For Y2006, Y2007 and Y2008, the current Combined daily data files do not include the F15 Individual daily data files due to problematic calibration in F15. The Combined daily files will be updated for those three years once an improved set of Individual daily data files are produced using corrected and updated SSM/I F15 input files. (b) The current Combined daily data files are produced with at most 4 combined satellites, i.e., F10, F11, F13 and F14 for May-Nov 1997,
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.