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3,206 results for “property (T)”
VIIRS/NOAA20 Cloud Properties Level 3 monthly, 1x1 degree grid
The VIIRS/NOAA20 Cloud Properties Level 3 monthly, 1x1 degree grid product, shortname CLDPROP_M3_VIIRS_NOAA20, is a continuity product designed to sustain the long-term records of both Moderate Resolution Imaging Spectroradiometer (MODIS) and VIIRS heritages. CLDPROP is used to represent Cloud Properties, which includes both Cloud-Optical Property (COP) and Cloud-Top Property parameters. This product ensures continuity of approach through a common algorithm that is applicable to both MODIS and VIIRS data by leveraging only those spectral channels that are common to both instruments.For more information, visit product page at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/products/CLDPROP_M3_VIIRS_NOAA20
ABoVE: Active Layer and Soil Moisture Properties from AirMOSS P-band SAR in Alaska
This dataset provides estimates of soil geophysical properties derived from Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) P-band polarimetric synthetic aperture radar (PolSAR) data collected in August and October of 2014, 2015, and 2017 over 12 study sites (with some exceptions) across Northern Alaska. Soil properties reported include the active layer thickness (ALT), dielectric constant, soil moisture profile, surface roughness, and their respective uncertainty estimates at 30-m spatial resolution over the 12 flight transects. Most of the study sites are located within the continuous permafrost zone and where the aboveground vegetation consisting mainly of dwarf shrub and tussock/sedge/moss tundra has a minimal impact on P-band radar backscatter.
BOREAS HYD-01 Soil Hydraulic Properties
The BOREAS HYD-01 team made several measurements related to soil moisture and soil properties. These soil hydraulic properties were determined at the flux tower sites based on analysis of in situ tension infiltrometer tests and laboratory determined water retention from soil cores collected during the 1994-95 field campaigns. Results from this analysis are saturated hydraulic conductivity, and fitting parameters for the van Genuchten-Mualem soil hydraulic conductivity and water retention function at flux tower sites.
CERES Daily Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A
CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Daily Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and associated cloud properties stratified by the optical depth and effective pressure Edition4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and CERES-FM3, FM4, and MODIS on Aqua. Data collection is ongoing. CER_FluxByCldTyp-Day_Terra-Aqua-MODIS_Edition4A provides instantaneous daytime CERES fluxes and CERES-MODIS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Day Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
VIIRS/SNPP Cloud Properties COSP Level 3 monthly, 1x1 deg. grid
The VIIRS/SNPP Cloud Properties COSP Level 3 monthly, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_M3_VIIRS_SNPP. It contains VIIRS SNPP cloud mask, cloud top, and cloud optical retrieval data over monthly timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters).Consult the CLDPROPCOSP User Guide for details regarding how the L3 monthly statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from March 1, 2012 and includes 12 granules each calendar year.
LBA-ECO ND-10 Soil Properties of Pasture Chronosequences, Para, Brazil: 1997
This data set provides the results of soil physical property and chemical measurements of samples collected from two pasture chronosequences (years since conversion from primary forest) located on two ranches south of Santarem, Para, Brazil, and east of the Tapajos River. Soil data includes soil classification, bulk density, texture, and mean concentrations of total nitrogen (N), carbon (C), phosphorus (P), and P fractions. The soils were high clay oxisols and highly sandy entisols.One chronosequence of sites was established on oxisol soils dating 2, 7, and 15 years since conversion from primary forest. A second set of sites, 1, 7, and 15 years old was established on the sandy entisols. Five of the six pasture sites were on a single ranch; the 2-year-old oxisol pasture was the exception. Ten soil samples per site were collected from 0-10 cm depth along random intervals within 100-m transects in August 1997.There are two comma-delimited (.csv) data files with this data set.
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 2 COG R01
Polar Radiant Energy in the Far InfraRed Experiment (PREFIRE) Atmospheric Properties from PREFIRE Satellite 2 COG (PREFIRE_SAT2_2B-ATM_COG) is derived from data collected by the PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE) aboard PREFIRE-SAT2. Dual Cs each carry a PREFIRE Thermal Infrared Spectrometer (TIRS-PREFIRE), a push broom spectrometer with 63 channels measuring mid- and far-infrared (FIR) radiation from approximately 5 to 53 µm. Most polar emissions are in the FIR but have not been measured on a large scale. PREFIRE aims to fill knowledge gaps in the global energy budget by more accurately characterizing polar emissions. This information will then be assimilated into global circulation and other models to predict future conditions more accurately.PREFIRE_SAT2_2B-ATM_COG contains Cloud-Optimized GeoTIFF (COG) files that each contain a georeferenced rendering of retrieved column water vapor (CWV) values. Those CWV data values are computed from a single granule of PREFIRE Spectral Radiance (PREFIRE_SAT2_1B-RAD) data using an Optimal Estimation retrieval via a radiative transfer model with inputs from PREFIRE_SAT2_2B-MSK (cloud mask), PREFIRE_SAT2_AUX-MET, and PREFIRE_SAT2_2B-SFC. The retrieved CWV values are only available for clear-sky conditions. As part of the rendering process, mean retrieved CWV values are computed for a global grid of raster elements (each approximately 2.23 km in width), based on which raster elements each PREFIRE ground footprint overlaps. This procedure is done in order to better visualize the PREFIRE data despite substantial overlap of adjacent along-track ground footprints – but it is important to remember that the individual PREFIRE ground footprints are much bigger (by about 80x, in terms of area) than each of the GeoTIFF raster elements. These cloud-optimized GeoTIFF images may be viewed using many geographic information systems (GIS), such as the freely available QGIS.Science data retrieval started June 29, 2024 and is ongoing. Currently, the geographic coverage is for latitudes between approximately 60° to 84° in both polar regions, although future releases may include data for all latitudes equatorward of about 84°. Within the orbital swath there are eight distinct tracks of data associated with the eight separate spatial scenes for each TIRS-PREFIRE. At the beginning of the mission, the approximate scene footprint sizes were 11.8 km x 34.8 km (cross-track x along-track), with gaps between each scene of approximately 24.2 km. The entire swath was about 264 km across. Note that the scene footprint and swath sizes quoted here are for the orbit altitude soon after launch. However, the footprint and swath sizes will slowly become smaller as the orbit altitude decreases with time.Similar CWV GeoTIFF renderings for the sister instrument aboard PREFIRE-SAT1 can be found in the PREFIRE_SAT1_2B-ATM_COG collection.
Snow Properties and Wildlife Tracks in Washington and Alaska
This dataset contains three field seasons of snow-wildlife observations conducted at 707 sites from January 2021 to March 2023 in Washington and Alaska, spanning a broad range of snow conditions. Relatively fresh tracks (usually <24 h) of common large mammal predators (bobcats, coyotes, cougars, and wolves) and their ungulate prey (caribou, Dall sheep, moose, mule deer, and white-tailed deer) were investigated to determine how snow affects predator-prey interactions. The track sink depth and dimensions (width and length) of three consecutive footprints were measured from one individual. Age class was recorded for moose based either on visual confirmation of an individual creating snow tracks or based on track dimensions. The ability to differentiate age classes for smaller ungulates was more uncertain, so age classes for deer, caribou, or sheep were not specified. Animal gait was identified using a simple classification scheme. Data also include animal species, snow density, hardness, total ice, surface temperature, and vegetation type. To best capture snow hardness, surface penetrability and hand-hardness were measured throughout the snowpack. The data are provided in comma-separated values (CSV) format.
CERES Monthly Daytime Mean Regionally Averaged Terra and Aqua TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition4A
CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged Terra and Aqua Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 4A data product. Data was collected using CERES Flight Model 1 (FM1), FM2, and Moderate-Resolution Imaging Spectroradiometer (MODIS) on Terra and FM3, FM4, and MODIS on Aqua. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_Terra-Aqua-MODIS_Edition4A provides the monthly mean daytime CERES fluxes and CERES-Moderate-Resolution Imaging Spectroradiometer (MODIS) cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition4A product inputs Single Scanner Footprint (SSF) Edition4A footprint data. All 1-km pixel-level MODIS-retrieved cloud properties within each footprint are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The MODIS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
CERES Monthly Daytime Mean Regionally Averaged NOAA-20 TOA Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition1B
CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B is the Clouds and the Earth's Radiant Energy System (CERES) Monthly Daytime Mean Regionally Averaged NOAA-20 Top-of-Atmosphere (TOA) Fluxes and Associated Cloud Properties Stratified by Optical Depth and Effective Pressure Edition 1B data product. Data was collected using CERES Flight Model 6 (FM6) and Visible Infrared Imaging Radiometer Suite (VIIRS) on NOAA-20. Data collection for this product is ongoing. CER_FluxByCldTyp-Month_NOAA20-VIIRS_Edition1B provides the monthly mean daytime CERES fluxes and CERES-VIIRS cloud properties that have been spatially gridded into 1° regions along both the Terra and Aqua ground tracks where the TOA fluxes and cloud properties have been stratified by six cloud optical depth bins and seven cloud effective pressure layers. The CERES FluxByCldTyp-Month Edition1B product inputs Single Scanner Footprint (SSF) Edition1B footprint data. Within each footprint, all 1-km pixel-level VIIRS-retrieved cloud properties are stratified into three possible sub-footprint components: two cloud layers and a clear portion. The VIIRS channel radiances are converted to broadband (BB) radiances for each sub-footprint component. The CERES angular directional models are then applied to obtain BB fluxes. Each CERES sub-footprint cloud layer and associated fluxes are assigned to one of the 42 cloud types, similar to the stratification process in the CldTypHist product. FluxByCloudTyp is an hourly instantaneous gridded daytime-only product with a global extent. Each netCDF4 file covers a single day.CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
OMG Ocean Water Properties Data from Alamo Floats Version 1
This dataset contains level 1 in situ measurements of temperature and salinity from several autonomous, profiling Alamo floats. These floats change their buoyancy by inflating an external bladder with oil, allowing them to dive and surface regularly. Conductivity, Temperature and Depth sensors (CTDs) allow them to collect vertical profiles of temperature and salinity. This provided measurements of the ocean's physical characteristics around Greenland. The floats wer deployed as part of the Oceans Melting Greenland (OMG) project. The goal of the project is to find out what contributions the ocean has on Greenland's melting glaciers.
GEO/LEO based cloud property composites for DSCOVR EPIC view, Version 2
In DSCOVR_EPIC_L2_composite_02, cloud property retrievals from multiple imagers on low Earth orbit (LEO) satellites (including MODIS, VIIRS, and AVHRR) and geostationary (GEO) satellites (including GOES-13 and -15, METEOSAT-7 and -10, MTSAT-2, and Himawari-8) are used to generate the composite. Based on the CERES cloud detection and retrieval system, all cloud properties were determined using a standard set of algorithms, the Satellite ClOud and Radiation Property Retrieval System (SatCORPS). Cloud properties from these LEO/GEO imagers are optimally merged to provide a seamless global composite product at 5-km resolution by using an aggregated rating that considers five parameters (nominal satellite resolution, pixel time relative to the EPIC observation time, viewing zenith angle, distance from day/night terminator, and sun glint factor) and selects the best observation at the time nearest to the EPIC measurements. About 72% of the LEO/GEO satellite overpass times are within one hour of the EPIC measurements, while 92% are within two hours of the EPIC measurements. The global composite data are then remapped into the EPIC FOV by convolving the high-resolution cloud properties with the EPIC point spread function (PSF) defined with a half-pixel accuracy to produce the EPIC composite. PSF-weighted radiances and cloud properties averages are computed separately for each cloud phase. Ancillary data (i.e., surface type, snow and ice map, skin temperature, precipitable water, etc.) needed for anisotropic factor selections are also included in the composite. These composite images are produced for each observation time of the EPIC instrument (typically 300 to 600 composites per month).
Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes during the ORACLES-I Campaign: Results from the NASA GEOS Model
This dataset contains model results and satellite-based research retrievals associated with the manuscript submitted in Atmospheric Chemistry and Physics Journal, titled, " Improved Simulations of Biomass Burning Aerosol Optical Properties and Lifetimes in the NASA GEOS Model during the ORACLES-I Campaign". There were multiple NASA GEOS global model simulations performed for this study. Following are the name of the simulation and their description corresponding to the file names within this dataset: 1. Baseline: Default version of the GEOS model 2. Smoke Age: Default version of the GEOS model run with biomass burning OA tagged by day of the week it was emitted. 3. Smoke Composition: Default version of the GEOS model run with biomass burning OA tagged by type of vegetation burned. 4. OA-loss: Hydrophilic OA from biomass burning is assigned a 6-day e-folding loss time; OA from biomass burning sources is enhanced 60%, BC from biomass burning sources is enhanced 15%. 5. OA-loss+updated optics: As in OA-loss but with updated aerosol optical properties.
LBA-ECO ND-11 Soil Properties of Forested Headwater Catchments, Mato Grosso, Brazil
The northwestern region of Mato Grosso State consists of complex landscapes due to ongoing geomorphologic activity that contributes to the occurrence of different soil classes over small distances, which complicates soil sampling strategies. This study was conducted in Juruena (MT), with the objective of identifying pedologic classes in undisturbed forested headwater catchments by examining the spatial variability of soil texture and color, and taking elevation and topographic position into consideration. The spatial variability of soil texture and color were determined for 185 georeferenced sample points from a 20 x 20 m grid over the four headwater catchments. By sampling each location at depths of 0-20 and 40-60 cm it was possible to distinguish and map the principle soil classes found in the study area to the 2nd category level of the Brazilian System of Soil Classification, associated with the topographic relief. A satisfactory relationship between the redness index of the diagnostic horizons and the soil class colors was also found. The small headwater catchments contained the soil classes Plintossolos and Argissolos (of plinthic character) at altitudes below 280 m, and Latossolos at higher elevations. In this way, the use of geostatistics to map soil classes proved effective, as well as to estimate the precision of the resulting maps. Nevertheless, pedologic knowledge and a follow-up field validation of the resulting maps are necessary for an application as well as adjustments to the geostatistical models.
LBA Regional Derived Soil Properties, 0.5-Deg (ISRIC-WISE)
The data set consists of a subset of the ISRIC-WISE global data set of derived soil properties for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 to 30 degrees W, latitude 25 degrees S to 10 degrees N).The World Inventory of Soil Emission Potentials (WISE) database currently contains data for over 4300 soil profiles collected mostly between 1950 and 1995. This database has been used to generate a series of uniform data sets of derived soil properties for each of the 106 soil units considered in the Soil Map of the World (FAO-UNESCO, 1974). These data sets were then linked to a 1/2 degree longitude by 1/2 degree latitude version of the edited and digital Soil Map of the World (FAO, 1995) to generate GIS raster image files for the following variables:Total available water capacity (mm water per 1 m soil depth)Soil organic carbon density (kg C/m**2 for 0-30 cm depth range)Soil organic carbon density (kg C/m**2 for 0-100 cm depth range)Soil carbonate carbon density (kg C/m**2 for 0-100 cm depth range)Soil pH (0-30 cm depth range)Soil pH (30-100 cm depth range)LBA was designed to create the new knowledge needed to understand the climatological, ecological, biogeochemical, and hydrological functioning of Amazonia; the impact of land use change on these functions; and the interactions between Amazonia and the Earth system. LBA was a cooperative international research initiative led by Brazil and NASA was a lead sponsor for several experiments. More information about LBA and links to other LBA project sites can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.
CERES-MODIS and hourly geostationary cloud properties stratified by ISCCP cloud types for day and night.
CER_CldTypHist_GEO-MODIS_Edition4A is the Clouds and the Earth's Radiant Energy System (CERES)- Moderate-Resolution Imaging Spectroradiometer (MODIS) and hourly geostationary cloud properties stratified by the International Satellite Cloud Climatology Project (ISCCP) cloud types for day and night Edition 4A data product. Data collection is ongoing. The CERES-MODIS and hourly geostationary cloud properties (CldTypHist) data product contain monthly and one-hourly gridded regional mean cloud properties as a function of 18 cloud types, where the cloud properties are stratified by pressure, optical depth, and phase. Data is available day and night. The CldTypHist product combines cloud properties from Terra-MODIS (10:30 AM local equator crossing time LECT), Aqua-MODIS (1:30 PM LECT), and geostationary satellites (GEO) to provide the most diurnally complete product. The GEO cloud properties have been normalized with MODIS for diurnal consistency. The CERES MODIS-derived cloud properties are not the official NASA MODIS cloud retrievals but are based on the CERES cloud working group retrievals that are also available in other CERES products. The CERES MODIS-derived cloud properties provide coverage from pole to pole. The hourly GEO cloud properties come from five satellites at 8km nominal resolution with coverage limited to equatorward of 60 degrees. The GEO cloud retrievals incorporate additional channels as they become available on improved geostationary satellites that replaced earlier ones in the time period. The geostationary calibration is normalized to Terra-MODIS. Each CldTypHist file covers a single month.CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the proto flight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.
MODIS/Aqua Cloud Properties COSP Level 3 daily, 1x1 deg. grid
The MODIS/Aqua Cloud Properties COSP Level 3 daily, 1x1 degree grid product is a new L3 CLDPROP COSP Cloud product with short-name CLDPROPCOSP_D3_MODIS_Aqua. It contains MODIS Aqua cloud mask, cloud top, and cloud optical retrieval data over daily timeframe. It provides a set of custom cloud-related parameters for better comparison with climate model output. The “COSP” acronym in the short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. Provided in netCDF4 format, it contains 32 aggregated science data sets (SDS/parameters).Consult the CLDPROPCOSP User Guide for details regarding how the L3 daily statistics are computed, and to learn more about the gridding and sampling protocols specific to this product and a number of other topics germane to the user community. The collection of this product starts from July 4, 2002 and includes 365 granules each calendar year.
SNF Leaf Optical Properties: TMS
Knowledge of the optical properties of the components of the forest canopy is important to the understanding of how plants interact with their environment and how this information may be used to determine vegetation characteristics using remote sensing. During the summers of 1983 and 1984, samples of the major components of the boreal forest canopy (needles, leaves, branches, moss, litter) were collected in the Superior National Forest (SNF) of Minnesota and sent to the Johnson Space Center (JSC). At JSC, the spectral reflectance and transmittance characteristics of the samples were determined for wavelengths between .35 and 2.1 micrometers using the Cary-14 radiometer. This report presents plots of these data as well as averages to the Thematic Mapper Simulator (TMS) bands. There were two main thrusts to the SNF optical properties study. The first was to collect the optical properties of many of the components of the boreal forest canopy. The second goal of the study was to investigate the variability of optical properties within a species. The results of these studies allow a comparison of the optical properties of a variety of different species and a measure of the variability within species. These data provide basic information necessary to model canopy reflectance patterns.
CALIPSO Lidar Level 2 Polar Stratospheric Clouds presents, composition, and optical properties, V2-00
The Version 2 (V2) CALIPSO Lidar Level 2 Polar Stratospheric Clouds (PSC) data product ensemble describes the spatial distribution, optical properties, and composition of PSC layers observed by the CALIPSO lidar (CALIOP). The product contains profiles of PSC presence, composition, optical properties, and meteorological information on a uniform 5-km horizontal x 180-m vertical grid along CALIPSO orbit tracks. Aura Microwave Limb Sounder (MLS) measurements of the primary PSC condensable vapors HNO3 and H2O and a number of parameters from the Aura MLS V2 Derived Meteorological Products (DMPs) are also included in the V2 PSC data product ensemble.
MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid
The combined MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid product represents a new addition that is especially geared to facilitate climate scientists who deal with both models and observations. MCD06COSP_D3_MODIS represents the daily product’s short-name. The “COSP” acronym in its short-name stands for Cloud Feedback Model Intercomparison Project (CFMIP) Observation Simulator Package. The L3 monthly product is derived by aggregating the daily-produced Aqua+Terra/MODIS D3 Cloud Properties product (MCD06COSP_D3_MODIS). Provided in netCDF4 format, it contains 23 aggregated science data sets (SDS/parameters). The Collection 6.2 (C6.2) is an improved version from the previous version (C6.1) because a number of bugs detected in Collection 6.1 are fixed.
ScienceDex guides
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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.