AndreaBozzo/ceres-open-data-index huggingface dataset:
LBA Regional Organic Soil Carbon and Nitrogen Data (Zinke et al.)

The data set contains a subset of a global organic soil carbon and nitrogen data set (Zinke et al. 1986). The subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10 N to 25 S, 30 to 85 W). The point data are available in three formats: a comma-delimited ASCII file (*.csv), an ESRI shapefile, and an ESRI export file (*.e00). The data for the global data set (Zinke et al. 1986) were obtained from soil surveys conducted by Zinke in 1965-1984 and from soil survey literature. The main samples for laboratory analyses were collected at uniform soil increments and included bulk density determinations. Many samples reported in the literature did not have uniform soil increments or bulk density determinations. Only soil profiles that had been sampled either to a meter in depth or to actual depth were included in this database from soil survey literature. When carbon content was known but bulk densities were absent from soil samples reported in the literature, densities were estimated by regression analysis on the basis of the relationship between organic carbon content and measured bulk density in 1800 soil profiles for which bulk densities were known. Further information can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/Zinke_soil/comp/zinke_readme.pdf. LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. 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. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

Tags: earth-science-soils-land-surface-carbon, earth-science-soils-land-surface-nitrogen
Organization: National Aeronautics and Space Administration
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.

Tags: earth-science-soils-land-surface-carbon, earth-science-soils-land-surface-cation-exchange-capacity, earth-science-soils-land-surface-organic-matter, earth-science-soils-land-surface-soil-chemistry, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-ph, earth-science-soils-land-surface-soil-porosity
Organization: National Aeronautics and Space Administration
LBA-ECO CD-02 C and N Isotopes in Leaves and Atmospheric CO2, Amazonas, Brazil

This data set reports delta 13C/12C results for leaf tissues and atmospheric carbon dioxide (CO2), 15N/14N ratios for leaf tissue, and leaf carbon and nitrogen concentrations along a topographical gradient in old-growth forests in the ZF2 Reserve (km 34), Instituto Nacional de Pesquisas da Amazonia (INPA), near Manaus, Amazonas, Brazil. During the dry seasons of 2004 and 2006, leaves were sampled at various heights within the canopy and atmospheric air flask samples were also collected at various heights at three locations along this gradient. Also included are coincident meteorological, atmospheric CO2, and CO2 flux measurements from the plateau KM34 tower. There are 3 comma-delimited data files with this data set.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-vegetation-biosphere-nitrogen
Organization: National Aeronautics and Space Administration
Instituto del Mar del Peru (IMARPE)- Callao Station

The IMARPE-Callao station is located offshore from the port of Callao, Peru at a water depth of approximately 150 m. This station is operated by the Instituto del Mar del Peru with the objective to study the oceanographic variability off the Peruvian coast, algal blooms and relationships with ENSO.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
LBA Regional Carbon in Live Vegetation, 0.5-degree (Olson)

This data set is a subset of Olson et al. (1985, 2000) "Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation." This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., latitude 10° N to 25° S, longitude 30° to 85° W). The data are in ASCII GRID format. "Major World Ecosystem Complexes Ranked by Carbon in Live Vegetation" is a computerized database used to generate a global vegetation map of 44 different land ecosystem complexes (mosaics of vegetation or landscapes) comprising seven broad groups. The map is derived from patterns of preagricultural vegetation, modern areal surveys, and intensive biomass data from research sites. Work on the database was begun in 1960 and completed in 1980. Ecosystem complexes are defined for each 0.5-degree grid cell, reflecting the major climatic, topographic, and land-use patterns. Numeric codes are assigned to each vegetation type. Classifications include natural as well as human managed/modified complexes such as mainly cropped, residential, commercial, and park. The complexes are ranked by estimated organic carbon in the mass of live plants given in units of kilograms of carbon per square meter. Counting the cells of each type and adding their areas give total area estimates for the ecosystem complexes. Multiplying by carbon estimates gives corresponding estimates of carbon by ecosystem complex with in the LBA study area. The results help define the role of the terrestrial biosphere in the global carbon cycle. Information about the ecosystem classifications, as well as the procedure used to create the LBA subset can be found at ftp://daac.ornl.gov/data/lba/carbon_dynamics/olson/comp/olson_readme.pdf. LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. 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. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-carbon, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
LBA-ECO CD-02 Forest Canopy Structure, Tapajos National Forest, Brazil: 1999-2003

This data set reports on Leaf Area Index (LAI) and Specific Leaf Area (SLA) measurements collected from forest and pasture sites in or near the Tapajos National Forest (TNF), 80 km south of the city of Santarem, Para, Brazil. The collections were between October 1999 and June 2003 from tower sites accessed via the km 67 forest entrance. There are 2 comma-delimited ASCII data files with this data set, and 1 companion data file which provides site descriptions.

Tags: earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-leaf-characteristics
Organization: National Aeronautics and Space Administration
LBA Regional Hydrographic Data, 1-Degree, Release 2.2 (Cogley)

This subset of the Global Hydrographic data set (GGHYDRO) Release 2.2 for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., longitude 85 deg to 30 deg W, latitude 25 deg S to 10 deg N) is organized into 19 files containing terrain type, stream frequency counts, major drainage basins, main features of the cryosphere surface, and ice/water runoff per year for the entire Earth's surface at a spatial resolution of 1- degree longitude by 1-degree latitude. The data are provided in both ASCII GRID and binary image file formats.More information and selected thumbnails images can be found at: ftp://daac.ornl.gov/data/lba/surf_hydro_and_water_chem/gghydro/comp/README. Exposed land not covered by swamp, intermittent water bodies, glacier ice, sand dunes, saltmarsh or salt flats (LAND)2. Perennial freshwater lakes (FLAK)3. Swamp, marsh and other wetlands(SWMP)4. Saltwater, whether marine or terrestrial (SLTW)5. Intermittent water bodies (ILAK)6. Glacier ice, including shelf ice but excluding pack ice (GLAC)7. Sand dunes (DUNE)8. Saltmarsh (SMRS)9. Salt flats (SFLT)10. Land + Swamp + Sand dunes + Saltmarsh (DSRF)11. Perennial rivers (FRIV)12. Intermittent rivers (IRIV)13. Land mask (MS05)14. Major drainage basins (BAS1)15. Smaller drainage basins (BAS2)16. Main features of the cryosphere (CRYO)17. Surface runoff of water (kg/m**2/yr) (RNOF)18. Estimated root-mean-square error of RNOF (%) (RNER)19. Runoff of ice ( kg/m**2/yr ) (RICE)

Tags: earth-science-ecosystems-biosphere-freshwater-ecosystems-lake-pond, earth-science-ecosystems-biosphere-freshwater-ecosystems-rivers-stream, earth-science-ecosystems-biosphere-terrestrial-ecosystems-wetlands, earth-science-geomorphic-landforms-processes-land-surface-aeolian-landforms-dunes, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-snow-ice-terrestrial-hydrosphere-ice-extent, earth-science-snow-ice-terrestrial-hydrosphere-lake-ice, earth-science-snow-ice-terrestrial-hydrosphere-permafrost, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-lakes-reservoirs, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-rivers-streams, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-wetlands, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-draina, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-runoff
Organization: National Aeronautics and Space Administration
LBA Regional Freshwater Wetlands, 1-Degree (Stillwell-Soller et al.)

This data set consists of a subset of a 1-degree gridded global freshwater wetlands database (Stillwell-Soller et al. 1995). This subset was created for the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America (i.e., 10° N to 25° S, 30° to 85° W). The data are in ASCII GRID format. The global freshwater wetlands database was assembled from two data sets: Aselman and Crutzen's (1989) wetlands data set and Klinger's political Alaska data set (pers. comm. to L. M. Stillwell-Soller, 1995). The aim of Stillwell-Soller's global data set was to provide an accurate, comprehensive and uniform set of files for convenient specification of wetlands in global climate models. The main source of data was Aselman and Crutzen's global maps of percent cover for a variety of wetlands categories at 2.5-degree latitude by 5-degree longitude resolution. There was some reorganization for seasonally varying categories. Aselman and Crutzen's data were interpolated to a standard 1-degree by 1-degree grid through bilinear interpolation. Their data were geographically complete except for the Alaskan region, for which Klinger's data set provided values. More information can be found at ftp://daac.ornl.gov/data/lba/land_use_land_cover_change/soller_wetlands/comp/soller_readme.pdf. LBA was a cooperative international research initiative led by Brazil. NASA was a lead sponsor for several experiments. 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. More information about LBA can be found at http://www.daac.ornl.gov/LBA/misc_amazon.html.

Tags: earth-science-ecosystems-biosphere-aquatic-ecosystems-wetlands, earth-science-ecosystems-biosphere-terrestrial-ecosystems-wetlands, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-lakes-reservoirs, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-wetlands
Organization: National Aeronautics and Space Administration
LBA Regional Boundary for the Amazon and Tocantins River Basins, 5-min

This data set is an expanded version of the Costa et al. (2000) data set and consists of a single grid with values of 1 for cells within the basins and 0 for cells outside. The resolution of the data set is 5 x 5 min (approximately 9 x 9 km). The area of this data set is consistent with the study area of the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) in South America. The data file is in ASCII GRID format.

Tags: earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-rivers-streams, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-draina, earth-science-topography-land-surface-terrain-elevation-digital-elevation-terrain-model-dem
Organization: National Aeronautics and Space Administration
HURRICANE AND SEVERE STORM SENTINEL (HS3) HIGH-ALTITUDE IMAGING WIND AND RAIN AIRBORNE PROFILER (HIWRAP) V1

The Hurricane and Severe Storm Sentinel (HS3) High-Altitude Imaging Wind and Rain dataset was collected from the High-altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which is a dual-frequency (Ku- and Ka-band, or approximately 14 and 35 GHz), dual-beam (30 degree and 40 degree incidence angle), conically scanning radar that has been designed for the Global Hawk aircraft during the HS3 campaign. Goals for HS3 included: assessing the relative roles of large-scale environment and storm-scale internal processes; and addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification as well as the role of deep convection in the inner-core region of storms. HIWRAP uses solid state transmitters along with a novel pulse compression scheme that results in a system that is considerably more compact and requires less power than typical radars used for precipitation and wind measurements. By conically scanning at 10-20 rpm, its beams sweeped below the Global Hawk collecting Doppler velocity/reflectivity profiles. The unique HIWRAP sampling and phase correction strategy implemented (frequency diversity Doppler processing technique). HIWRAP's dual-wavelength operation enables it to map full tropospheric winds from cloud and precipitation volume backscatter measurements, derive information about precipitation drop-size distributions, and estimate the ocean surface winds using scatterometry techniques. Winds will be retrieved using a gridding approach similar to well-established ground-based multi-Doppler radar wind analyses. More information can be found at http://har.gsfc.nasa.gov/index.php?section

Tags: earth-science-radar-spectral-engineering-doppler-velocity, earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-weather-events-atmosphere-tropical-cyclones
Organization: National Aeronautics and Space Administration
KORUS-AQ DC-8 Aircraft In Situ Aerosol Data

KORUSQ_Aerosol_AircraftInSitu_DC8_Data are in-situ aerosol measurements conducted onboard the DC-8 aircraft during the KORUS-AQ field campaign. This product features data collected from a variety of in-situ instrumentation, including the AMS, APS, CPC, SMPS, PSAP, Nephelometers, and 4STAR along with other aerosol instrumentation. Data collection for this product is complete. The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments. Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok. The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-aerosols-atmosphere-aerosol-extinction, earth-science-aerosols-atmosphere-aerosol-forward-scatter, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-aerosols-atmosphere-cloud-condensation-nuclei, earth-science-aerosols-atmosphere-nitrate-particles, earth-science-aerosols-atmosphere-organic-particles, earth-science-aerosols-atmosphere-particulate-matter, earth-science-aerosols-atmosphere-sulfate-particles
Organization: National Aeronautics and Space Administration
KORUS-AQ B200 Remotely Sensed Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) Data

KORUSAQ_AircraftRemoteSensing_GeoTASO_B200_Data are remotely sensed data collected by the Geostationary Trace gas and Aerosol Sensor Optimization (GeoTASO) instrument onboard the B200 aircraft during the KORUS-AQ field campaign. NO2 and HCHO trace gas slant column data are featured in this collection. Data collection for this product is complete. The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments. Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok. The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-formaldehyde, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration
Land Resources of Russia -- Maps of Permafrost and Ground Ice, Version 1

This data set includes maps of permafrost extent, permafrost temperature, the permafrost boundary, and ground ice thickness for all of Russia. The maps are ESRI Shapefiles, which were digitized from paper maps taken from the World Atlas of Snow and Ice Resources, 1997, Institute of Geography, Russian Academy of Sciences, Moscow, Russia. The scale of the source maps range from 1:20,000,000 to 1:40,000,000. Polygons were assigned attributes based on the classes used in the legends of the paper map. These data were extracted from a larger collection entitled Land Resources of Russia. Data and documentation &copy; 2002 copyright International Institute for Applied Systems Analysis and the Russian Academy of Sciences.

Tags: earth-science-frozen-ground-cryosphere-ground-ice-ground-ice, earth-science-frozen-ground-cryosphere-permafrost-permafrost, earth-science-frozen-ground-cryosphere-soil-temperature-soil-temperature, earth-science-frozen-ground-land-surface-ground-ice-ground-ice, earth-science-frozen-ground-land-surface-permafrost-permafrost, earth-science-frozen-ground-land-surface-soil-temperature-soil-temperature, earth-science-soils-agriculture-soil-temperature-soil-temperature, earth-science-soils-land-surface-soil-temperature-soil-temperature
Organization: National Aeronautics and Space Administration