AndreaBozzo/ceres-open-data-index huggingface dataset:
SAFARI 2000 Vegetation Cover Characteristics, Kalahari Transect, Wet Season 2000

Vegetation cover and composition, including species types and richness assessments, were measured at four locations along the Kalahari Transect in Botswana (Pandamatenga, Maun, Okwa River, and Tshane) during the SAFARI 2000 wet season field campaign. The sites visited showed interesting degrees of variability despite the apparent homogeneity of the Kalahari sands and predominantly semi-arid savanna shrub-woodlands vegetation cover (Ringrose et al., 2003).At each site, twelve individual locations were chosen by random stratified techniques within a 30-km radius at each location, based on differences in topography, soils, and known disturbance, to help determine local variability (Huennecke et al., 2001). Data collection methods were identical at each location (Ringrose et al., 1996; 1998): (1) identification and enumeration of all species along 3 x 90-m transects, spaced 45-m apart; (2) visual estimation (tape measure and pacing) of canopy diameter along each transect; and (3) visual estimation of percent live and dead herbaceous cover, litter, and bare soil using 3 x 50 m2 quadrats spaced at 30-m intervals along each transect. In addition, vegetation components were calculated for each site comprising woody vegetation cover, green herbaceous cover in terms of grass and forbs, dead herbaceous cover, plant litter, and bare soil. Species richness was calculated as the actual number of species per three transects (270 m2) at each site (Kent and Coker, 1996).The data set consists of two data files (ASCII tables) in comma-delimited format (.csv) with descriptive header records.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-ecosystems-biosphere-terrestrial-ecosystems-savannas, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-dominant-species, earth-science-vegetation-biosphere-vegetation-cover, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
SAFARI 2000 Vegetation Structure of Kataba Forest, Zambia, Wet Season 2000

Tree basal area, percent tree canopy cover, and proportional contribution of main species to canopy cover were measured at 60 sampling points at 50 m intervals along six transects in the vicinity of the MODIS validation site tower in Kataba Forest, near Mongu, Zambia, in late February to early March 2000 as part of the SAFARI 2000 Wet Season Campaign. The aim of the study was to provide a broad description of the tree canopy layer around the tower.Tree and shrub species composition was recorded for each grid and measurements of canopy cover (% and rank) and frequency of occurrence (%) were made. Basal area was estimated at each grid site in a single 360 degree sweep using a basal area prism. Four estimates of canopy cover, oriented north, south, east, and west around the sample point, were taken at each grid site using a spherical densiometer and the data were averaged to give a single value for each grid. Only the canopies of trees and shrubs above 1.5 m height were measured.The data are stored in an ASCII file, in csv format. The file lists all tree and shrub species recorded and provides the proportional contribution of these species to canopy cover in each grid. Total tree basal area (m2 ha-1) and overall tree canopy cover (%) in each grid is also provided. The companion file provides additional vegetation data, graphics, long-term meteorological data, a discussion of the study results, and photographs of the study site.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics
Organization: National Aeronautics and Space Administration
Saharan Dust AERosols and Ocean Science Expeditions

AEROSE is an internationally recognized series of trans-Atlantic field campaigns conducted onboard the NOAA Ship Ronald H. Brown designed to explore African air mass outflows and their impacts on climate, weather, and environmental health.

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
SAGE III/ISS L1B Solar Event Transmission Data (Native) V006

g3btb_6 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (Native) V6 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. Data collection for this product is ongoing. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.

Tags: earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-shortwave-radiation, earth-science-atmospheric-radiation-atmosphere-ultraviolet-radiation
Organization: National Aeronautics and Space Administration
SAGE III/ISS L1B Solar Event Transmission Data (HDF5) V006

g3bt_6 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 1B Solar Event Transmission Data (HDF5) V6 data product. It contains pixel group transmission profiles for a single solar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds, earth-science-atmospheric-radiation-atmosphere, earth-science-atmospheric-radiation-atmosphere-longwave-radiation, earth-science-atmospheric-radiation-atmosphere-shortwave-radiation, earth-science-atmospheric-radiation-atmosphere-ultraviolet-radiation
Organization: National Aeronautics and Space Administration
SAFARI 2000 Vegetation and Soils, 1-Deg (Wilson and Henderson-Sellers)

This data set contains a subset for southern Africa of Wilson and Henderson-Sellers' Global Vegetation & Soils 1-degree data. The data are available in both ASCII GRID and binary image files formats. The Wilson, Henderson-Sellers' Global Vegetation and Soils data set is an archive of soil type and land cover data derived for use in general circulation models (GCMs). The data were collated from natural vegetation, forestry, agriculture, land use, and soil maps. The data are archived at 1 degree latitude x 1 degree longitude resolution and include data for soil, soil reliability, primary vegetation, secondary vegetation, and land cover reliability. There are approximately fifty land cover classifications which include categories for agricultural and urban uses. The inclusion of secondary vegetation type is particularly useful is areas with cover types which may have a fragmented distribution, such as urban development. The soil type data are classified using climatically important properties for CGMs and provide color (light, medium, or dark), texture, and drainage quality of the soil. The land cover data are compatible with the soils data forming a coherent and consistent data set. Reliability data rank the land cover data on a 1 to 5 scale from high to low reliability. The soil reliability is ranked as one of the following: high, good, moderate, fair, or poor. Recommendations for the use of these data as well as more detailed information can be found in: Wilson, M.F. and A. Henderson-Sellers, 1985. A Global Archive of Land Cover and Soils Data for Use in General Circulation Climate Models. Journal of Climatology, Vol.5, 119-143. More data set information can be found at: ftp://daac.ornl.gov/data/safari2k/vegetation_wetlands/vegsoils_wilhend/comp/wilhend_readme.pdf.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-soils-land-surface-soil-color, earth-science-soils-land-surface-soil-texture, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
SAFARI 2000 Tree Cover from AVHRR, 1-km, 1992-1993 (DeFries et al.)

The data set consists of a southern Africa subset of the 1km Global Tree Cover Data Set developed at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland. Data are available in both ASCII GRID and binary image files formats. Characterization of terrestrial vegetation from the Advanced Very High Resolution Radiometer (AVHRR) on the global to regional scale has traditionally been accomplished using classification schemes with discrete numbers of vegetation classes. Representation of vegetation into a limited number of homogeneous classes does not account for the variability within land cover, nor does the portrayal recognize transition zones between adjacent cover types. An alternative paradigm to describing land cover as discrete classes is to represent land cover as continuous fields of vegetation characteristics using a linear mixture model approach. This prototype data set, created by researchers at the Laboratory for Global Remote Sensing Studies (LGRSS) at the University of Maryland, contains 1-km cells estimating: 1) Percent tree cover; 2) Percentage cover for two layers representing leaf longevity (evergreen and deciduous); and 3) Percentage cover for two layers estimating leaf type (broadleaf and needleleaf). Data acquired in 1992-93 from NOAA's AVHRR at a 1-km spatial resolution and processed under the guidance of the International Geosphere Biosphere Programme (IGBP) were used to derive the tree cover, leaf type and leaf longevity maps. Each pixel in the layers has a value between 10 and 80 percent. These layers can be directly used as parameters in models or aggregated into more conventional land cover maps. For the latter, the product offers the flexibility to derive land cover maps based on user's requirements for a particular application. The product is intended for use in terrestrial carbon cycle models, in conjunction with other spatial data sets such as climate and soil type, to obtain more consistent and reliable estimates of carbon stocks. More information can be found at: ftp://daac.ornl.gov/data/safari2k/vegetation_wetlands/tree_cover-1km/comp/glcftree_readme.pdf.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-vegetation-biosphere-deciduous-vegetation, earth-science-vegetation-biosphere-evergreen-vegetation, earth-science-vegetation-biosphere-leaf-characteristics, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
RLC Forest Cover of the Former Soviet Union, 1973

This data set is a 1:15 million scale forest cover map for the land area of the Former Soviet Union. Twenty-two land cover classes are distinguished, of which 20 are forest cover classes. The source data were acquired by map digitization from the Atlas of Forests of the USSR (Anon. 1973) which was likely based on forestry data from the 1940s, 1950s and 1960s.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification
Organization: National Aeronautics and Space Administration
SAGE III/ISS L2 Lunar Event Species Profiles (Native) V006

g3blspb_6 is the Stratospheric Aerosol and Gas Experiment III (SAGE III) on the International Space Station (ISS) (SAGE III/ISS) Level 2 Lunar Event Species Profiles (Native) V06 data product. It contains all the species products for a single lunar event. SAGE III was Launched on February 19, 2017 on a SpaceX Falcon 9 from Kennedy Space Center, SAGE III-ISS is the second instrument from the SAGE III project, externally mounted on the ISS. This ISS-based instrument uses a technique known as occultation, which involves looking at the light from the Sun or Moon as it passes through Earth's atmosphere at the edge, or limb, of the planet to provide long-term monitoring of ozone vertical profiles of the stratosphere and mesosphere. The data provided by SAGE III-ISS includes key components of atmospheric composition and their long-term variability, focusing on the study of aerosols, chlorine dioxide, clouds, nitrogen dioxide, nitrogen trioxide, pressure and temperature, and water vapor. SAGE data has historically been used by the World Meteorological Organization to inform their periodic assessments of ozone depletion. These new observations from the International Space Station will continue the SAGE team's contributions to ongoing scientific understanding of the Earth's atmosphere.

Tags: earth-science-atmospheric-chemistry-atmosphere, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens-chlorine-dioxide, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-oxides, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-total-ozone, earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species, earth-science-atmospheric-water-vapor-atmosphere, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor
Organization: National Aeronautics and Space Administration
SAFARI 2000 Wetlands Data Set, 1-Deg (Matthews and Fung)

This database, compiled by Matthews and Fung (1987), provides information on the distribution and environmental characteristics of natural wetlands. The database was developed to evaluate the role of wetlands in the annual emission of methane from terrestrial sources. The original data consists of five global 1-degree latitude by 1-degree longitude arrays. The subset retains all five arrays at the 1-degree resolution but only for the area of interest. The arrays are (1) wetland data source, (2) wetland type, (3) fractional inundation, (4) vegetation type, and (5) soil type. The data subsets are in both ASCII GRID and binary image file formats. The data base is the result of the integration of three independent digital sources: (1) vegetation classified according to the United Nations Educational Scientific and Cultural Organization (UNESCO) system (Matthews, 1983), (2) soil properties from the Food and Agriculture Organization (FAO) soil maps (Zobler, 1986), and (3) fractional inundation in each 1-degree cell compiled from a global map survey of Operational Navigation Charts (ONC). With vegetation, soil, and inundation characteristics of each wetland site identified, the data base has been used for a coherent and systematic estimate of methane emissions from wetlands and for an analysis of the causes for uncertainties in the emission estimate. The complete global data base is available from NASA/GISS [http://www.giss.nasa.gov] and NCAR data set ds765.5 [http://www.ncar.ucar.edu]; the global vegetation types data are available from ORNL DAAC [http://www.daac.ornl.gov]. More information can be found at: ftp://daac.ornl.gov/data/safari2k/vegetation_wetlands/giss_wetlands/comp/matt_fung_readme.pdf.

Tags: earth-science-soils-land-surface-soil-classification, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-wetlands, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-inunda, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project

Saildrone is a wind and solar powered unmanned surface vehicle (USV) capable of long distance deployments lasting up to 12 months and providing high quality, near real-time, multivariate surface ocean and atmospheric observations while transiting at typical speeds of 3-5 knots. The drone is autonomous in that it may be guided remotely from land while being completely wind driven. The saildrone ATOMIC (Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign) campaign involved the deployment of a fleet of saildrones, jointly funded by NASA and NOAA, in the Atlantic waters offshore of Barbados over a 45 day period from 17 January to 2 March 2020. The goal was to understand the Ocean-Atmosphere interaction particularly over the mesoscale ocean eddies in that region. The saildrones were equipped with a suite of instruments that included a CTD, IR pyrometer, fluorometer, dissolved oxygen sensor, anemometer, barometer, and Acoustic Doppler Current Profiler (ADCP). Additionally, four temperature data loggers were positioned vertically along hull to provide further information on thermal variability near the ocean surface. This Saildrone ATOMIC dataset is comprised of two data files for each of the three NASA-funded saildrones deployed, one for the surface observations and one for the ADCP measuements. The surface data files contain saildrone platform telemetry and near-surface observational data (air temperature, sea surface skin and bulk temperatures, salinity, oxygen and chlorophyll-a concentrations, barometric pressure, wind speed and direction) spanning the entire cruise at 1 minute temporal resolution. The ADCP files for each saildrone are at 5 minute resolution for the duration of the deployments. All data files are in netCDF format and CF/ACDD compliant consistent with the NOAA/NCEI specification.

Tags: earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-ocean-chemistry-oceans-oxygen, earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-optics-oceans-fluorescence, earth-science-ocean-temperature-oceans-sea-surface-temperature, earth-science-salinity-density-oceans-conductivity, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration
RLC Forest Cover Map of the Former Soviet Union, 1990

This data set is a 1:2.5 million scale forest cover map for the land area of the Former Soviet Union that was completed in 1990 (Garsia 1990). There are forty-five classes distinguished in this data set, of which 38 are forest cover classes. The purpose of this map was to create a generalized and up-to-date map of forest cover for the USSR. This map should not be viewed as a detailed forest cover map but more like an economic forestry map. The most important tree species of a region are highlighted rather than the dominant trees species or tree cover. Very few tree species are defined. In many cases, of course, the dominant and the most important trees species are the same.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification
Organization: National Aeronautics and Space Administration
STRAT Model Data

STRAT_Model_Data is the model data collected during the Stratospheric Tracers of Atmospheric Transport (STRAT) campaign. Data collection for this product is complete. The STRAT campaign was a field campaign conducted by NASA from May 1995 to February 1996. The primary goal of STRAT was to collect measurements of the change of long-lived tracers and functions of altitude, latitude, and season. These measurements were taken to aid with determining rates for global-scale transport and future distributions of high-speed civil transport (HSCT) exhaust that was emitted into the lower atmosphere. STRAT had four main objectives: defining the rate of transport of trace gases from the stratosphere and troposphere (i.e., HSCT exhaust emissions), improving the understanding of dynamical coupling rates for transport of trace gases between tropical regions and higher latitudes and lower altitudes (between tropical regions, higher latitudes, and lower altitudes are where most ozone resides), improving understanding of chemistry in the upper troposphere and lower stratosphere, and finally, providing data sets for testing two-dimensional and three-dimensional models used in assessments of impacts from stratospheric aviation. To accomplish these objectives, the STRAT Science Team conducted various surface-based remote sensing and in-situ measurements. NASA flew the ER-2 aircraft along with balloons such as ozonesondes and radiosondes just below the tropopause in the Northern Hemisphere to collect data. Along with the ER-2 and balloons, NASA also utilized satellite imagery, theoretical models, and ground sites. The ER-2 collected data on HOx, NOy, CO2, ozone, water vapor, and temperature. The ER-2 also collected in-situ stratospheric measurements of N2O, CH4, CO, HCL, and NO using the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). Ozonesondes and radiosondes were also deployed to collect data on CO2, NO/NOy, air temperature, pressure, and 3D wind. These balloons also took in-situ measurements of N2O, CFC-11, CH4, CO, HCL, and NO2 using the ALIAS. Ground stations were responsible for taking measurements of O3, ozone mixing ratio, pressure, and temperature. Satellites took infrared images of the atmosphere with the goal of aiding in completing STRAT objectives. Pressure and temperature models were created to help plan the mission.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature-potential-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-static-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-speed, earth-science-atmospheric-winds-atmosphere-wind-dynamics-vorticity-potential-vorticity
Organization: National Aeronautics and Space Administration