AndreaBozzo/ceres-open-data-index huggingface dataset:
TOVS Pathfinder Path-P Daily and Monthly Polar Gridded Atmospheric Parameters, Version 1

The TIROS-N Operational Vertical Sounder (TOVS) Polar Pathfinder (Path-P) data set consists of gridded daily and monthly Arctic and Antarctic atmospheric data derived from various NOAA satellites. TOVS Path-P daily files are available for the Northern and Southern Hemispheres from 60 degrees poleward at 100 km gridded spatial resolution in an Equal-Area Scalable Earth Grid (EASE-Grid). TOVS Path-P monthly files are available for the Northern Hemisphere only from 60 degrees poleward at 100 km gridded spatial resolution in EASE-Grid. Daily and monthly Northern Hemisphere data are available from January 1979 through current processing, and daily Southern Hemisphere data are available from July 1979 through current processing. Data were created from a modified version of the Improved Initialization Inversion Algorithm (3I) (Chedin et al. 1985), a physical-statistical retrieval method improved for use in identifying geophysical variables in snow- and ice-covered areas (Francis 1994).

Tags: atmosphere, atmosphere-surface-temperature, atmospheric-radiation, atmospheric-winds-atmosphere, cloud-fraction, cloud-microphysics, cloud-precipitable-water, cloud-properties, cloud-top-pressure, cloud-top-temperature, clouds, earth-science-atmospheric-radiation-atmosphere-emissivity, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-winds-atmosphere-wind-dynamics-wind-stress-atmospheric-temperature, earth-science-clouds-atmosphere-cloud-microphysics-cloud-precipitable-water, earth-science-clouds-atmosphere-cloud-properties-cloud-fraction, earth-science-clouds-atmosphere-cloud-properties-cloud-top-pressure, earth-science-clouds-atmosphere-cloud-properties-cloud-top-temperature, emissivity, wind-dynamics-air-temperature, wind-stress
Organization: National Aeronautics and Space Administration
TOVS LMD MONTHLY GRIDS from NOAA-12 V01 (TOVSBMND) at GES DISC

Level 3 parameters from HIRS/2 and MSU radiances using the Improved Initialization Inversion (3I) classification retrieval scheme by the Laboratoire de Meteorologie Dynamique (Ecole Polytechnique) averaged over 1 month and mapped on to a 1x1 degree grid. This data was run as part of the NASA TOVS Pathfinder project and designated as Path-B. This dataset contains data from the NOAA-12 satellite.

Tags: atmosphere, atmosphere-oxygen-compounds, atmospheric-temperature, atmospheric-water-vapor, clouds-atmosphere, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-temperature-atmosphere-surface-temperature-skin-temperature, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles, earth-science-clouds-atmosphere-atmospheric-chemistry, humidity, skin-temperature, surface-temperature, upper-air-temperature, water-vapor, water-vapor-indicators, water-vapor-profiles-atmospheric-ozone
Organization: National Aeronautics and Space Administration
The ARID Scoping Study Final Report

This dataset provides the final report from the Adaptation and Response in Drylands (ARID) scoping study. ARID is one of the two scoping studies funded by NASA in 2023 to identify the scientific questions and develop the initial study design and implementation concept for a new NASA Terrestrial Ecology field campaign. This report emphasizes a prioritized research agenda and an initial implementation plan, focusing on the western U.S. to deepen our understanding of national dryland processes and resources. ARID is also leveraging an extensive network of international sites and collaborators in Africa, Australia, Mexico, and South America. This global approach facilitates the evaluation, monitoring, and forecasting of drylands worldwide, ensuring a coordinated effort to address and inform solutions for the challenges facing these critical ecosystems. ARID will use cutting-edge approaches to address four Science Themes: 1) Climate Variability and Drought, 2) Ecosystem Structure, Function, and Biodiversity, 3) Carbon Cycle Interannual Variability and Long-Term Trends, and 4) Social-Ecological Systems. The scoping study performed extensive outreach, conducting over 160 meetings and events with hundreds of scientists and decision-makers across six continents, which translated to the ARID science plan being co-created with a wide range of contributors and perspectives, including remote sensing, modeling, and dryland scientists; Tribal Nations; and a range of U.S. federal entities. This report outlines a targeted plan to deploy field and NASA airborne instruments to vastly augment data derived from satellite observations that, when joined, will substantially advance quantification of drylands' large and changing role in the U.S. and in the Earth system.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems
Organization: National Aeronautics and Space Administration
TRACE-A Supplementary Satellite Data

TRACE-A_Satellite_Data is the supplementary satellite data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data from the NOAA 10, 11, and 12 satellites and the Total Ozone Mapping Spectrometer (TOMS) satellite instrument are featured in this collection. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

Tags: earth-science-clouds-atmosphere-clouds-atmosphere
Organization: National Aeronautics and Space Administration
SMEX04 Surface Temperature Data: Arizona, 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 contains data from in situ infrared thermometer measurements collected in Arizona during the Soil Moisture Experiment 2004 (SMEX04).

Tags: earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
TRACE-A Balloonsondes and Ozonesondes Data

TRACE-A_Sondes_Data is the balloonsonde and ozonesonde data collected during the Transport and Atmospheric Chemistry near the Equator - Atlantic (TRACE-A) suborbital campaign. Data collection for this product is complete. The TRACE-A mission was a part of NASA’s Global Tropospheric Experiment (GTE) – an assemblage of missions conducted from 1983-2001 with various research goals and objectives. TRACE-A was conducted in the Atlantic from September 21 to October 24, 1992. TRACE-A had the objective of determining the cause and source of the high concentrations of ozone that accumulated over the Atlantic Ocean between southern Africa and South America from August to October. NASA partnered with the Brazilian Space Agency (INPE) to accomplish this goal. The NASA DC-8 aircraft and ozonesondes were utilized during TRACE-A to collect the necessary data. The DC-8 was equipped with 19 instruments. A few instruments on the DC-8 include the Differential Absorption Lidar (DIAL), the Laser-Induced Fluorescence, the O3-NO Ethylene/Forward Scattering Spectrometer, the Modified Licor, and the DACOM IR Laser Spectrometer. The DIAL was responsible for a variety of measurements, which include Nadir IR aerosols, Nadir UV aerosols, Zenith IR aerosols, Zenith VS aerosols, ozone, and ozone column. The Laser-Induced Fluorescence instrument collected measurements on NxOy in the atmosphere. Measurements of ozone were recorded by the O3-NO Ethylene/Forward Scattering Spectrometer while the Modified Licor recorded CO2. Finally, the DACOM IR Laser Spectrometer gathered an assortment of data points, including CO, O3, N2O, CH4, and CO2. Ozonesondes played a role in data collection for TRACE-A along with the DC-8 aircraft. The sondes were dropped from the DC-8 aircraft in order to gather data on ozone, temperature, and atmospheric pressure.

Tags: atmosphere, atmosphere-static-pressure, atmospheric-chemistry, atmospheric-chemistry-atmosphere, atmospheric-ozone, atmospheric-ozone-ozone-profiles, atmospheric-temperature, atmospheric-water-vapor, dew-point-temperature, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-atmospheric-p, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-ozone-profile, earth-science-atmospheric-pressure-atmosphere-static-pressure, earth-science-atmospheric-temperature-atmosphere-surface-temperature-dew-point-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-static-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity-relative-humid, humidity, oxygen-compounds, oxygen-compounds-static-temperature, relative-humidity, surface-temperature, water-vapor-indicators
Organization: National Aeronautics and Space Administration
TRACER-AQ La Porte Ground Site Data

TRACERAQ_Ground_LaPorte_Data is the data collected at the LaPorte ground site during the TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) field study. Data collection is ongoing. The TRacking Aerosol Convection ExpeRiment – Air Quality (TRACER-AQ) campaign is a field study co-sponsored by NASA and TCEQ (Texas Commission on Environmental Quality), with partners from DOE (Department of Energy) TRacking Aerosol Convection ExpeRiment (TRACER), and several academic institutions. This synergistic effort aims to gain an updated understanding in photochemistry and meteorological impact on ozone formation in the Houston region, particularly around the Houston Ship Channel, Galveston Bay, and the Gulf of America; provide observations for evaluating air quality models and satellite observations; and identify injustices due to air quality in relation to socioeconomic factors. The primary TRACER-AQ field observations period lasted from mid-August to late September 2021, coinciding with the peak ozone season in East Texas, with a second deployment in summer 2022 with a subset of ground-based assets. The observing system includes airborne remote sensing, mobile (boat/vehicle) laboratories, and stationary ground-based assets. The airborne component was based on the NASA Gulfstream V aircraft instrumented with GCAS (GEOCAPE Airborne Simulator) for making measurements of column NO2 and HCHO as well as a lidar system, HSRL-2 (High Spectral Resolution Lidar-2), to measure O3 and aerosol vertical profiles over the course of 12 flight days. Ground-based assets include ground-based ozone lidars from the Tropospheric Ozone Lidar Network (TOLNet), ceilometers, Pandora spectrometers, AErosol RObotic NETwork (AERONET) remote sensors, ozonesondes, and stationary and mobile laboratories of in situ air quality and meteorological observations. This coordinated observing system provides updated or unseen perspectives in spatial and temporal distribution of the key photochemical species and atmospheric structure information, particularly with a focus on the temporal evolution of observations throughout the daytime in preparation for upcoming geostationary satellite air quality observations.

Tags: altitude, altitude-atmosphere, atmosphere, atmosphere-planetary-boundary-layer-height, atmospheric-pressure, earth-science-altitude-atmosphere-atmospheric-pressure, earth-science-altitude-atmosphere-planetary-boundary-layer-height, earth-science-atmospheric-pressure-atmosphere, earth-science-atmospheric-pressure-atmosphere-planetary-boundary-layer-height, planetary-boundary-layer-height
Organization: National Aeronautics and Space Administration
Tree Mortality from Fires and Bark Beetles at 1-km Resolution, Western USA, 2003-2012

This dataset provides annual estimates of tree mortality due to fires and bark beetles from 2003 to 2012 on forestland in the continental western United States. Tree mortality was estimated at 1-km spatial resolution by combining tree aboveground carbon (AGC) and disturbance datasets derived largely from remote sensing. Tree mortality is expressed as the amount of AGC stored in trees killed by disturbance (Mg carbon per km2). The dataset also includes annual uncertainty maps that were generated using a Monte Carlo approach in which tree biomass, biomass carbon content, and disturbance severity were iteratively varied by their uncertainty.

Tags: biosphere, biosphere-plant-diseases-disorders-pests, burned-area, earth-science-agricultural-plant-science-agriculture-plant-diseases-disorders-pests, earth-science-ecological-dynamics-biosphere-fire-ecology-fire-occurrence, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests-agricultural-plant-science, earth-science-natural-hazards-human-dimensions-wildfires-burned-area, ecological-dynamics, ecosystems-agriculture, fire-ecology, forests, human-dimensions, natural-hazards, terrestrial-ecosystems-fire-occurrence, wildfires
Organization: National Aeronautics and Space Administration
Tree Inventory and Biometry Measurements, Tapajos National Forest, Para, Brazil, 2010

This dataset provides tree inventory, tree height, diameter at breast height (DBH), and estimated crown measurements from 30 plots located in the Tapajos National Forest, Para, Brazil collected in September 2010. The plots were located in primary forest, primary forest subject to reduced-impact selective logging (PFL) between 1999 and 2003, and secondary forest (SF) with different age and disturbance histories. Plots were centered on GLAS (the Geoscience Laser Altimeter System) LiDAR instrument footprints selected along two sensor acquisition tracks spanning a wide range in vertical structure and aboveground biomass.

Tags: biosphere, biosphere-crown, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-crown, earth-science-vegetation-biosphere-vegetation-species-vegetation, ecosystems, terrestrial-ecosystems, vegetation-biosphere, vegetation-species-forests
Organization: National Aeronautics and Space Administration
Tree Cover Estimates at 30 m Resolution for Mexico, 2016-2018

The data set provides multi-year (2016-2018) percent tree cover (TC) estimates for entire Mexico at 30 m spatial resolution. The TC data (hereafter, NEX-TC) was derived from the 30 m Landsat Collection 1 product and a hierarchical deep learning approach (U-Net) developed in a previous CMS effort for the conterminous United States (CONUS) (Park et al., 2022). The hierarchical U-Net framework first developed a U-Net model for very high-resolution aerial images (NAIP) using training labels derived from previous work based on an interactive image segmentation tool and iterative updates with expert knowledge (Basu et al., 2015). The developed NAIP U-Net model and NAIP data produced 1-m NAIP TC across all lower 48 CONUS states. A Landsat U-Net model was developed for multi-year and large-scale TC mapping based on the very high-resolution NAIP TC made in the earlier stage. The Landsat U-Net model developed was adopted over the CONUS for testing its transferability, validation, and improvement across Mexico. This dataset provides national-scale percent tree cover estimates over Mexico and can be helpful for studies of carbon cycling, land cover and land use change, etc. The team has been working on improving temporal stability of the product and will update the product once the next version is ready to be shared.

Tags: biosphere, biosphere-terrestrial-ecosystems, canopy-characteristics, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-vegetation-cover-ecosystems, vegetation, vegetation-biosphere, vegetation-cover-forests
Organization: National Aeronautics and Space Administration
TRMM Brazil ER-2 DOPPLER RADAR (EDOP) V1

TRMM Brazil ER-2 DOPPLER RADAR (EDOP) V1

Tags: doppler-velocity, earth-science-radar-spectral-engineering-doppler-velocity-radar, earth-science-radar-spectral-engineering-radar-reflectivity, radar-spectral-engineering, spectral-engineering-radar-reflectivity
Organization: National Aeronautics and Space Administration
Trends of Thermal, Wetness, and Vegetative Change in the Circumpolar Arctic

This dataset provides estimates of trends in temperature, moisture, and vegetation changes over the circumpolar Arctic. Time series trends were measured by the Theil-Sen slope and associated p-values for a variety of variables including 2-meter air temperature, precipitation, soil moisture, non-frozen season days, permafrost active layer thickness, snow cover, vapor pressure deficit, land surface water fraction, normalized difference vegetation index (NDVI), and vegetation optical depth. Trends were measured annually and over specific seasons of spring (March to May), summer (June to August), autumn (September to November) and winter (December to February), and for the 1980-2020 and 1997-2020 time periods, depending on the variable and original data availability. Emerging hotspots of change were identified for the same variables and seasons, but only over the 1997-2020 period. In addition, a multivariate ranking was used to create combined hotspot layers to show areas of substantial changes in the thermal environment, moisture, and vegetation; these themes reflect landscape changes considered to be detrimental (e.g., a threat) to ecosystems and human populations. Ancillary files provide the boundaries of study regions, Brown permafrost regions, and a land cover product. The data are provided in cloud optimized GeoTIFF (COG) and shapefile formats.

Tags: active-layer, atmosphere, atmospheric-ocean-indicators-climate-indicators, atmospheric-temperature, atmospheric-water-vapor, biosphere, climate-indicators, climate-indicators-soil-moisture, cryospheric-indicators, earth-science-atmospheric-ocean-indicators-climate-indicators-precipitation-indicators-precipit, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-vapor-pressure, earth-science-cryospheric-indicators-climate-indicators, earth-science-frozen-ground-land-surface-active-layer, earth-science-frozen-ground-land-surface-seasonally-frozen-ground, earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture, earth-science-land-surface-agriculture-indicators-climate-indicators-vegetation-cover, earth-science-snow-ice-terrestrial-hydrosphere-snow-cover, earth-science-surface-water-terrestrial-hydrosphere, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi, earth-science-vegetation-biosphere-vegetation-optical-depth, frozen-ground, land-surface, land-surface-agriculture-indicators, normalized-difference-vegetation-index-ndvi, precipitation-indicators-air-temperature, precipitation-trends, seasonally-frozen-ground, snow-cover, snow-ice, surface-temperature, surface-water, terrestrial-hydrosphere, vapor-pressure, vegetation, vegetation-cover, vegetation-index, vegetation-optical-depth, water-vapor-indicators
Organization: National Aeronautics and Space Administration
TRMM Attitude and TMI Packets and Header Record L1A V7 (TRMM_1A11) at GES DISC

The Level-1A Product file, "1A11", is a concatenation of Header record, Spacecraft Attitude packets, TMI Housekeeping packets, TMI Science Data packets, QACs and an MDUL. As such, it is reversible to Level 0. The header record contains information pertaining to orbit times, orbit number, times of the first scan, and number of scans, among other things. The Level 0 data contain the actual channel data expressed as"sensor counts". A Level 1A file contains data for a single orbit and has a file size of about 31 MB (uncompressed). Spatial coverage is between 38 degrees North and 38 degrees South owing to the 35 degree inclination of the TRMM satellite. This orbit provides extensive coverage in the tropics and allows each location to be covered at a different local time each day, enabling the analysis of the diurnal cycle of precipitation.

Tags: attitude-characteristics, earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery-radiance-1-6um, earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery-radiance-3-75um, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-sensor-counts, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared-radiance-10-8um, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared-radiance-12-0um, earth-science-platform-characteristics-spectral-engineering-attitude-characteristics, earth-science-sensor-characteristics-spectral-engineering-viewing-geometry-satellite-local-zeni, earth-science-visible-wavelengths-spectral-engineering-sensor-counts, earth-science-visible-wavelengths-spectral-engineering-visible-imagery-radiance-0-63um, earth-science-visible-wavelengths-spectral-engineering-visible-radiance-infrared-wavelengths, infrared-imagery, infrared-radiance, infrared-wavelengths, platform-characteristics, radiance-0-63um, radiance-10-8um, radiance-12-0um, radiance-3-75um, satellite-local-zenith-angle, sensor-characteristics, sensor-counts, spectral-engineering, spectral-engineering-infrared-imagery, thermal-infrared, viewing-geometry, visible-imagery, visible-radiance-radiance-1-6um, visible-wavelengths, visible-wavelengths-spectral-engineering
Organization: National Aeronautics and Space Administration