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.
70
datasets available to search
ShareScore release 0.9.0
Dataset results
70 results for “MODY 1”
Climatological Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Aqua Deep Blue Level 2 Aerosol Products MYD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MYDFDS_CLM_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MYDFDS_CLM_GLB_L3 provides level 3 climatological monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Aqua (MYD04_L2). The dataset is the climatological monthly mean for each month averaged over 2003 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
AMSR-MODIS Boundary Layer Water Vapor L3 Monthly 1 degree x 1 degree V1 (AMMBLWV) at GES DISC
This data set provides an estimate the marine boundary layer water vapor beneath uniform cloud fields. Microwave radiometry from AMSR-E and AMSR-2 provides the total column water vapor, while the near-infrared imagery from MODIS provides the water vapor above the cloud layers. The difference between the two gives the vapor between the surface and the cloud top, which may be interpreted as the boundary layer water vapor.
Monthly Frequency of Dust Storm over Land for Varying Intensities, Based on MODIS Terra Deep Blue Level 2 Aerosol Products MOD04_L2 Collection 6.1, on a Global 0.1 by 0.1 Degree Grid, Level 3 Version 1 (MODFDS_MON_GLB_L3) at GES DISC
Version 1 is the current version of the dataset.This collection MODFDS_MON_GLB_L3 provides level 3 monthly frequency of dust storms (FDS) over land from 175°W to 175°E and 80°S to 80°N at a spatial resolution of 0.1˚ x 0.1˚. It is derived from Level 2, the Moderate Resolution Imaging Spectroradiometer (MODIS) Deep Blue aerosol products Collection 6.1 from Terra (MOD04_L2). The dataset covers the monthly mean from 2000 to 2022.The FDS is calculated as the number of days per month when the daily dust optical depth is greater than a threshold optical depth (e.g., 0.025) with two quality flags: the lowest (1) and highest (3). It is advised to use flag 1, which is of lower quality, over dust source regions, and flag 3 over remote areas or polluted regions. Eight thresholds (0.025, 0.05, 0.1, 0.25, 0.5, 0.75, 1, 2) are saved separately in eight files.If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).
CLPX-Satellite: MODIS Radiances, Reflectances, Snow Cover and Related Grids, Version 1
This data set provides Moderate Resolution Imaging Spectroradiometer (MODIS) data as part of the Cold Land Processes Field Experiment (CLPX). Parameters include radiances, surface reflectance, snow cover, land surface temperature/emissivity, and vegetation indices.
Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Surface Properties, Version 1
This data set contains the following parameters: snow fraction (on the ground), viewable snow fraction, snow cover duration, snow grain size, dust concentration, snow albedo (on horizontal surface), snow albedo (on sloped surface), and radiative forcing. All variables are spatially and temporally complete after interpolation. Days without observation is also included so that users can determine how many days since a satellite observation occurred.The data set is derived from a version of the spectral mixture analysis (SMA) approach called the Snow Property Inversion from Remote Sensing (SPIReS, <a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0040">Bair et al, 2021</a>). This dataset uses surface reflectance inputs from <a href="https://lpdaac.usgs.gov/products/mod09gav061/">MOD09GA v6.1</a> and includes additional outputs not included in the original version of SPIReS: snow albedo and snow radiative forcing.The SPIReS SMA model considers three spectral endmembers: snow, shade, and a snow-free background reflectance, which is identified for each MODIS pixel as the average MOD09GA reflectance measured typically between 1 August and 30 September for a given year in the northern hemisphere. dust concentration is solved for simultaneously with fractional snow cover and snow grain size during the spectral unmixing process. SPIReS snow albedo are derived using a lookup table that incorporates snow grain size, dust concentration, and surface illumination (<a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0025">Bair et al., 2019</a>). After the fSCA, grain size, and dust concentration are determined, these properties are filled, smoothed, and adjusted for canopy gap size, shade, and permanent ice. SPIReS radiative forcing are derived using a lookup table that incorporates LAP concentration and clear sky incoming solar irradiance. Data are available from 01 October 2024 to present. These data are provided in the netCDF-4 format with a Sinusoidal projection and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04). Additional tiles will be added over time. For data prior to 01 October 2024, please see the historical dataset (<a href="https://doi.org/10.7265/a3vr-c014">Rittger et al., 2025</a>) created by Snow Today at NSIDC.Data can be accessed via ftp://dtn.rc.colorado.edu/shares/snow-today/spires/SPIRES_NRT_V01Note: Authors Rittger, K. and Lenard, S. contributed equally to this work
MODIS/Terra 1 degree Gridded MODIS Active Fire Product V005 (MOD14CM1) at GES DISC
The gridded MODIS active fire products present statistical summaries of fire pixel information (Giglio et al., 2003). The global monthly products are generated at 1x1 degree spatial resolution for time period of one calendar month. These products are derived from MODIS CMG 0.5 degree products (Giglio et al., 2006) for Northern Eurasia Earth Science Partnership Initiative (NEESPI) program in supporting researches on surface processes and climate modeling.
Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Grain Size, and Dust Radiative Forcing, Version 1
This data set represents an updated version of the MODIS Snow Covered Area and Grain-size (MODSCAG) and MODIS Dust Radiative Forcing in Snow (MODDRF) data sets previously produced by the NASA Jet Propulsion Laboratory (JPL). Data are derived from NASA LANCE near real-time MODIS/Terra surface reflectance data (<a href="https://lance.modaps.eosdis.nasa.gov/modis/">MOD09GA_NRT</a>) but are not themselves near real-time, nor part of NASA LANCE. This data set contains the following parameters: snow fraction, snow grain size (from the SCAG algorithm), vegetation fraction, rock fraction, ice fraction, shade fraction, deltavis, radiative forcing, and optical snow grain size (from the DRFS algorithm). Data are available from 1 November 2023 to the present for 16 regions in North America, and from 01 April 2025 to present over the South Island of New Zealand and the Andes mountains in Chile. Additional tiles will be added over time until global coverage is reached. These data are provided in netCDF format.
MODIS/Terra+Aqua BRDF/Albedo Parameter 1 Band 1 Daily L3 Global 30 ArcSec CMG V061
The MCD43D01 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter dataset is produced daily using 16 days of Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands included in [MCD43C1](https://doi.org/10.5067/MODIS/MCD43C1.061) are stored in a separate file as MCD43D01 through MCD43D30. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/).MCD43D01 is the BRDF isotropic parameter for MODIS band 1. The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for MODIS band 1. Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).Improvements/Changes from Previous Versions* The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.* A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
MODIS/Terra+Aqua BRDF/Albedo Parameter 3 Band 1 Daily L3 Global 30 ArcSec CMG V061
The MCD43D03 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter dataset is produced daily using 16 days of Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands included in [MCD43C1](https://doi.org/10.5067/MODIS/MCD43C1.061) are stored in a separate file as MCD43D01 through MCD43D30. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/).MCD43D03 is the BRDF geometric parameter for MODIS band 1. The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for MODIS band 1. Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).Improvements/Changes from Previous Versions* The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.* A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
Historical MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Physical Properties, Version 1
This data set represents a spatially and temporally complete (STC) version of the MODIS Snow Covered Area and Grain-size (MODSCAG) and MODIS Dust Radiative Forcing in Snow (MODDRFS) data sets produced by the NASA Jet Propulsion Laboratory (JPL) and now produced and distributed by NSIDC DAAC as <a href="https://nsidc.org/data/modscgdrf_nrt/versions/1"> MODSCGDRF_NRT</a>. Data inputs for MODSCAG and MODDRFS used by the STC algorithm are derived from NASA historical MODIS/Terra surface reflectance data (<a href="https://lpdaac.usgs.gov/products/mod09gav006/">MOD09GA v006</a> before December 28, 2021 and <a href=https://lpdaac.usgs.gov/products/mod09gav061/>MOD09GA v061</a> onwards).The STC algorithm includes a suite of processes to improve the accuracy of MODSCAG/MODDRFS and adds additional information, notably snow albedo with and without the darkening from light absorbing particles. The STC algorithm accounts for off-nadir MODIS viewing geometry by weighting observations using the satellite view angle. STC uses the time series of data to better identify clouds whereas MODSCAG and MODDRFS use spectral tests which frequently include errors of omission and commission. STC uses forest height and the associated fractional vegetation simultaneously retrieved by MODSCAG for the same date and time to create an on-the-ground snow cover fraction. Finally, viewable snow cover fraction is used to remove biased retrievals of other variables. The resulting data is interpolated, resulting in a near-complete dataset. In addition, while the MODSCAG data sets do not include snow albedo, STC calculates clean snow albedo and snow albedo darkened by light absorbing impurities assuming both horizontal and sloped surfaces. This data set contains the following parameters: snow fraction (viewable and on the ground), snow albedo (clean and observed; on flat and on slope), snow darkening, snow radiative forcing, and snow grain size (from spectral mixture and the normalized difference grain size index). Data are available from 01 March 2000 to 30 September 2023 and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04). MODIS tiles are provided in the Sinusoidal projection derived from input MOD09GA files. Additional tiles will be added over time. These data are provided in the netCDF-4 format with a Sinusoidal projection.
MODIS/Aqua 1 degree Gridded MODIS Active Fire Product V005 (MYD14CM1) at GES DISC
The gridded MODIS active fire products present statistical summaries of fire pixel information (Giglio et al., 2003). The global monthly products are generated at 1x1 degree spatial resolution for time period of one calendar month. These products are derived from MODIS CMG 0.5 degree products (Giglio et al., 2006) for Northern Eurasia Earth Science Partnership Initiative (NEESPI) program in supporting researches on surface processes and climate modeling.
SMEX04 Terra MODIS Data, Sonora, Version 1
Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited.This data set consists of a number of data products from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the NASA Terra satellite for use in Soil Moisture Experiment 2004 (SMEX04) studies. These MODIS data were acquired over the two SMEX04 regional study areas, Arizona, USA and Sonora, Mexico.
OMI/Aura and MODIS/Aqua Aerosol Geo-colocation Product 1-Orbit L2 Swath 13x24 km V003 (OMMYDAGEO) at GES DISC
The OMI/Aura and MODIS/Aqua Aerosol Geo-colocation Product 1-Orbit L2 Swath 13x24 km (OMMYDAGEO) is a Level-2 orbital data product that links the MODIS/Aqua aerosol geo-coordinates at 3 and 10 km with the OMI indices along the OMI orbital track. This product allows users to match up MODIS granules with the OMI orbit for analysis and validation. It co-locates MODIS and OMI cloud and radiance information onto the OMI pixel. The OMMYDAGEO data files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the swath model, and follows the same conventions used by the other OMI Level-2 data products. Each file contains data for 5 minutes, corresponding to the MODIS granule from the daylit side of the orbit. There are on the order of about 140 swath files per day. The file size for the OMMYDAGEO data product is about 12 Megabytes.
MODIS/Terra+Aqua BRDF/Albedo Parameter 2 Band 1 Daily L3 Global 30 ArcSec CMG V061
The MCD43D02 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter dataset is produced daily using 16 days of Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands included in [MCD43C1](https://doi.org/10.5067/MODIS/MCD43C1.061) are stored in a separate file as MCD43D01 through MCD43D30. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/).MCD43D02 is the BRDF volumetric parameter for MODIS band 1. The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for MODIS band 1. Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).Improvements/Changes from Previous Versions* The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.* A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
MODIS/Aqua+Terra Global Flood Product L3 NRT 250m 1-day GeoTIFF
The MODIS/Aqua+Terra Global Flood Product L3 Near Real Time (NRT) 250m 1-day GeoTIFF (MCDWD_L3_F1_NRT) (beta) provides daily maps of flooding globally. The Global Flood product is provided over 3 compositing periods (1-day, 2-day, and 3-day) to minimize the impact of clouds and more rigorously identify flood water (the best composite will depend on the cloudiness for a particular event). The MCDWD_L3_F1_NRT is a 1-day product. The beta version of the product will be updated. For more information, visit product page at:https://earthdata.nasa.gov/earth-observation-data/near-real-time/mcdwd-nrt
Historical MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Surface Properties, Version 1
This data set contains the following parameters: snow fraction (on the ground), viewable snow fraction, snow cover duration, snow grain size, dust concentration, snow albedo (on horizontal surface), snow albedo (on sloped surface), and radiative forcing. All variables are spatially and temporally complete after interpolation. Days without observation is also included so that users can determine how many days since a satellite observation occurred. The data set is derived from a version of the spectral mixture analysis (SMA) approach called the Snow Property Inversion from Remote Sensing (SPIReS, <a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0040">Bair et al, 2021</a>). This dataset uses surface reflectance inputs from <a href="https://lpdaac.usgs.gov/products/mod09gav061/">MOD09GA v6.1</a> and includes additional outputs not included in the original version of SPIReS: snow albedo and snow radiative forcing. The SPIReS SMA model considers three spectral endmembers: snow, shade, and a snow-free background reflectance, which is identified for each MODIS pixel as the average MOD09GA reflectance measured typically between 1 August and 30 September for a given year in the northern hemisphere. dust concentration is solved for simultaneously with fractional snow cover and snow grain size during the spectral unmixing process. SPIReS snow albedo are derived using a lookup table that incorporates snow grain size, dust concentration, and surface illumination (<a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0025">Bair et al., 2019</a>). After the fSCA, grain size, and dust concentration are determined, these properties are filled, smoothed, and adjusted for canopy gap size, shade, and permanent ice. SPIReS radiative forcing are derived using a lookup table that incorporates LAP concentration and clear sky incoming solar irradiance. Data are available from 01 March 2000 to 30 September 2024. These data are provided in the netCDF-4 format with a Sinusoidal projection and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04). Additional tiles will be added over time. For data after 30 September 2024, please see the near real-time dataset (<a href="https://doi.org/10.7265/hs6b-zg21">Rittger et al., 2025</a>) created by Snow Today at NSIDC.Data can be accessed via ftp://dtn.rc.colorado.edu/shares/snow-today/spires/SPIRES_HIST_V01
MODIS/Terra+Aqua BRDF/Albedo Parameter 1 Band 2 Daily L3 Global 30 ArcSec CMG V061
The MCD43D04 Version 6.1 Bidirectional Reflectance Distribution Function and Albedo (BRDF/Albedo) Model Parameter dataset is produced daily using 16 days of Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day which is reflected in the Julian date in the file name. This Climate Modeling Grid (CMG) product covers the entire globe for use in climate simulation models. Due to the large file size, each MCD43D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the MODIS bands 1 through 7 and the visible, near-infrared (NIR), and shortwave bands included in [MCD43C1](https://doi.org/10.5067/MODIS/MCD43C1.061) are stored in a separate file as MCD43D01 through MCD43D30. Users are urged to use the band specific quality flags to isolate the highest quality full inversion results for their own science applications as described in the [User Guide](https://www.umb.edu/spectralmass/modis-user-guide-v006-and-v0061/mcd43d-cmg-30-arc-second-products/).MCD43D04 is the BRDF isotropic parameter for MODIS band 2. The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for MODIS band 2. Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=MODIS&sat=TerraAqua&as=61).Improvements/Changes from Previous Versions* The Version 6.1 Level-1B (L1B) products have been improved by undergoing various calibration changes that include: changes to the response-versus-scan angle (RVS) approach that affects reflectance bands for Aqua and Terra MODIS, corrections to adjust for the optical crosstalk in Terra MODIS infrared (IR) bands, and corrections to the Terra MODIS forward look-up table (LUT) update for the period 2012 - 2017.* A polarization correction has been applied to the L1B Reflective Solar Bands (RSB).
MODIS/Aqua+Terra Global Flood Product L3 NRT 250m 1-day CS GeoTIFF
The MODIS/Aqua+Terra Global Flood Product L3 Near Real Time (NRT) 250m 1-day CS GeoTIFF Product (MCDWD_L3_F1C_NRT) (beta) provides daily maps of flooding globally. The Global Flood product is provided over 3 compositing periods (1-day, 2-day, and 3-day) to minimize the impact of clouds and more rigorously identify flood water (the best composite will depend on the cloudiness for a particular event). The MCDWD_L3_F1C_NRT is 1-day CS product that has cloud shadow masks applied to the water detections, to help remove cloud-shadow false positives. The beta version of the product will be updated. For more information, visit product page at:https://earthdata.nasa.gov/earth-observation-data/near-real-time/mcdwd-nrt
AMSRIce03 MODIS Imagery, Version 1
This data set contains Moderate Resolution Imaging Spectroradiometer (MODIS) imagery of the Alaska, USA area, complementing the joint in situ and aircraft Advanced Microwave Scanning Radiometer Sea Ice Product Validation (AMSRIce03) campaign.
OMI/Aura and MODIS/Aqua Merged Cloud Product 1-Orbit L2 Swath 13x24 km V003 (OMMYDCLD) at GES DISC
The OMI/Aura and MODIS/Aqua Merged Cloud Product 1-Orbit L2 Swath 13x24 km (OMMYDCLD) is a Level-2 orbital product that combines cloud parameters retrieved by the Ozone Mapping Instrument (OMI) on the Aura satellite with collocated statistical information for cloud parameters retrieved by the Moderate Resolution Imaging Spectrometer (MODIS) on the Aqua spacecraft. This product is designed to take advantage of the synergy between OMI and MODIS, which both fly on satellites in the NASA A-Train constellation of Earth-observing satellites that follow similar orbital tracks and collect near-simultaneous observations. This product can be used for cloud-clearing, detection of multi-layered clouds, and other applications that may exploit these multi-spectral measurements. The algorithm for the OMMYDCLD product co-locates daytime cloud parameters from MODIS onto the OMI visible (VIS) pixel for a given OMI orbit and generates statistical information from the collocated MODIS pixels. For each OMI granule, the orbit start and end times are used to select the corresponding 5-minute MODIS granules for processing. A contiguous list of MODIS granules spanning the full duration of the OMI orbit are selected based on the relative time lag between Aqua and Aura. The algorithm lead for this product is NASA OMI scientist Dr. Joanna Joiner. The OMMYDCLD data files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5) using the swath model, and follows the same conventions used by the other OMI Level-2 data products. Each file contains data from the day lit portion of an orbit (about 53 minutes). There are approximately 14 orbits per day. The file size for the OMMYDCLD data product is about 8 Mbytes.
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.