AndreaBozzo/ceres-open-data-index huggingface dataset:
ECCO Sea-Ice and Snow Horizontal Volume Fluxes - Daily Mean llc90 Grid (Version 4 Release 4)

This dataset provides daily-averaged sea-ice and snow horizontal volume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Tags: earth-science-sea-ice-cryosphere-sea-ice-motion, earth-science-services-earth-science-reanalyses-assimilation-models-models
Organization: National Aeronautics and Space Administration
ECCO Sea-Ice Salt Plume Fluxes - Monthly Mean llc90 Grid (Version 4 Release 4)

This dataset provides monthly-averaged sea-ice salt plume fluxes on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height and model sea level anomaly (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Tags: earth-science-salinity-density-oceans-salt-transport, earth-science-services-earth-science-reanalyses-assimilation-models-models
Organization: National Aeronautics and Space Administration
ECCO Sea-Ice Velocity - Daily Mean llc90 Grid (Version 4 Release 4)

This dataset provides daily-averaged sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Tags: earth-science-sea-ice-cryosphere-sea-ice-motion, earth-science-services-earth-science-reanalyses-assimilation-models-models
Organization: National Aeronautics and Space Administration
Delta-X: Delft3D Sediment Model, Site 294, Terrebonne Basin, MRD, Louisiana, USA

This dataset contains the Delft3D model of the intensive site 294 in the Terrebonne Basin along the Mississippi River Delta (MRD) in coastal Louisiana. Simulations cover the Delta-X Spring and Fall deployments in 2021 and include hydrodynamics and sediment transport. All files required to run the simulations are included. The model's output of water velocity and depth-averaged sediment concentrations are provided for both deployments. The dataset includes annual inorganic mass accumulation rates derived through modelling intra-annual variability in water levels and suspended sediment concentrations. The data are provided in netCDF format.

Tags: earth-science-ecosystems-biosphere-marine-ecosystems-estuary, earth-science-geomorphic-landforms-processes-solid-earth-coastal-processes-sediment-transport, earth-science-geomorphic-landforms-processes-solid-earth-fluvial-processes-sediment-transport, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-inunda, earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-solids-sediments
Organization: National Aeronautics and Space Administration
ECCO Sea-Ice Velocity - Monthly Mean 0.5 Degree (Version 4 Release 4)

This dataset contains monthly-averaged sea-ice velocity interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Tags: earth-science-sea-ice-cryosphere-sea-ice-motion, earth-science-services-earth-science-reanalyses-assimilation-models-models
Organization: National Aeronautics and Space Administration
ECCO Sea-Ice Velocity - Snapshot llc90 Grid (Version 4 Release 4)

This dataset provides instantaneous sea-ice velocity on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.

Tags: earth-science-sea-ice-cryosphere-sea-ice-motion, earth-science-services-earth-science-reanalyses-assimilation-models-models
Organization: National Aeronautics and Space Administration
ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009

This data set contains forest canopy scan data from the Echidna® Validation Instrument (EVI) and field measurements data from three campaigns conducted in the United States: 2007 New England Campaign; 2008 Sierra National Forest Campaign; and 2009 New England Campaign. The New England field sites were located in Harvard Forest (Massachusetts), Howland Research Forest (Maine), and the Bartlett Experimental Forest (New Hampshire). The objective of the research was to evaluate the ability of the EVI ground-based, scanning near-infrared lidar to retrieve stem diameter, stem count density, stand height, leaf area index, foliage profile, foliage area volume density, and other useful forest structural parameters rapidly and accurately. The EVI scan data are Andrieu Transpose (AT) Projection images in ENVI *.img and *.hdr file pairs. There are 28 images from the 2007 New England Campaign, 30 images from the 2008 Sierra National Forest Campaign, and 54 images from the 2009 New England Campaign. There are range-weighted mean preview image files (.jpg format) for each AT Projection image. Manual measurements of tree structural properties were made during each campaign at EVI scan locations. The field measurements are provided in one file for each campaign (.csv format). Parameters include species identification, DBH, tree height, crown base, etc. organized by field plot. There is also a data file (.csv format) which compares EVI derived measurements to the field measured data (DBH, stem density, basal area, biomass, and LAI) from the 2007 New England Campaign.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-carbon, earth-science-vegetation-biosphere-crown, earth-science-vegetation-biosphere-forest-composition-vegetation-structure, earth-science-vegetation-biosphere-leaf-characteristics, earth-science-vegetation-biosphere-leaf-characteristics-leaf-area-index-lai, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Ecology and Oceanography of Harmful Algal Blooms (ECOHAB)

ECOHAB is a peer-reviewed, national, competitive program that funds regional-scale and targeted studies. Regional ecosystem investigations of the causes and impacts of HABs leading to development of model-based operational ecological forecasting capabilities in areas with severe, recurrent blooms are a high priority.

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
Ecomapper data for the SPURS-1 N. Atlantic field campaign

The SPURS (Salinity Processes in the Upper Ocean Regional Study) project is an oceanographic process study and associated field program that aim to elucidate key mechanisms responsible for near-surface salinity variations in the oceans. The project involves two field campaigns and a series of cruises in regions of the Atlantic and Pacific Oceans exhibiting salinity extremes. SPURS employs a suite of state-of-the-art in-situ sampling technologies that, combined with remotely sensed salinity fields from the Aquarius/SAC-D and SMOS satellites, provide a detailed characterization of salinity structure over a continuum of spatio-temporal scales. The SPURS-1 campaign involved a series of 5 cruises during 2012 - 2013 seeking to characterize the salinity structure and balance in a high salinity, high evaporation, and low rainfall region of the subtropical North Atlantic. It aims to resolve processes responsible for maintaining the subtropical surface salinity maximum in this region and within a 900 x 800-mile square study area centered at 25N, 38W. The Ecomapper or IVER is a portable autonomous underwater vehicle (AUV) capable carrying a range of sensor payloads. For SPURS-1 these included CTD, chlorophyll, oxygen and turbidity sensors. Ecomapper was deployed on two days during the Knorr cruise, 29 and 30 September 2012. The resulting Knorr Ecomapper data files include deployment event information and contain trajectory-depth profile series of chlorophyll, turbidity, oxygen, conductivity, with salinity, and temperature observations from two sensors.

Tags: earth-science-ocean-chemistry-oceans-oxygen, earth-science-ocean-optics-oceans-chlorophyll, earth-science-ocean-optics-oceans-turbidity, earth-science-ocean-temperature-oceans-temperature-profiles, earth-science-salinity-density-oceans-conductivity, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration
ENVISAT MERIS Global Binned CyAN Project, True Color (TC) Data, version 5.0

Cyanobacteria Assessment Network (CyAN) is a multi-agency project among EPA, the National Aeronautics and Space Administration (NASA), the National Oceanic and Atmospheric Administration (NOAA), and the United States Geological Survey (USGS) to support the environmental management and public use of U.S. lakes and estuaries by providing a capability of detecting and quantifying cyanobacteria algal blooms. This effort has resulted in the production of satellite remote sensing products using the cyanobacteria index (CI) algorithm to estimate cyanobacteria concentrations (CI_cyano) in lakes across the contiguous United States (CONUS) and Alaska. The Merged S3 product combines Sentinel-3A and Sentinel-3B OLCI data.

Tags: earth-science-aquatic-sciences-oceans, earth-science-bacteria-archaea-biological-classification-cyanobacteria-blue-green-algae, earth-science-coastal-processes-oceans, earth-science-ecosystems-biosphere-aquatic-ecosystems-plankton-phytoplankton, earth-science-ecosystems-biosphere-freshwater-ecosystems-lake-pond, earth-science-ecosystems-biosphere-marine-ecosystems-coastal, earth-science-environmental-governance-management-human-dimensions-environmental-governance-man, earth-science-marine-environment-monitoring-oceans, earth-science-ocean-optics-oceans-ocean-color, earth-science-services-hydrological-advisories-environmental-advisories-human-health-advisories, earth-science-services-hydrological-advisories-environmental-advisories-water-quality, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-lakes-reservoirs, earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-water-characteristics-chlor
Organization: National Aeronautics and Space Administration
Environmental Working Group Joint U.S.-Russian Arctic Sea Ice Atlas, Version 1

The Environmental Working Group Joint U.S.-Russian Arctic Sea Ice Atlas is part of the <a href="https://nsidc.org/data/ewg">NOAA@NSIDC Environmental Working Group (EWG) Atlases</a> data collection. The EWG Joint U.S.-Russian Arctic Sea Ice Atlas was developed by U.S. and Russian partners in the late 1990s. It is based on observations collected over the period 1950 through 1994 from satellite data, ice stations, icebreakers, and airborne ice surveys. Additionally, U.S. submarines operating in the Arctic over the period from 1977 through 1993 collected data used for a previously classified ice climatology. The Atlas contains four main sections: an introduction to Arctic sea ice, a section that describes primary sea ice data sets and analysis methods, a section with a graphical atlas containing two-dimensional color-coded ice charts and graphical products, and an Arctic sea ice data section. Note: The Russian chart component of this product has been replaced and updated by <a href="https://nsidc.org/data/g02176/versions/1">Sea Ice Charts of the Russian Arctic in Gridded Format, 1933-2006</a> and the U.S chart component by <a href="https://nsidc.org/data/g02172/versions/1">National Ice Center Arctic Sea Ice Charts and Climatologies in Gridded Format, 1972-2007</a> and <a href="https://nsidc.org/data/g10033/versions/1">U.S. National Ice Center Arctic and Antarctic Sea Ice Concentration and Climatologies in Gridded Format</a>.

Tags: earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-pressure-oceans-sea-level-pressure, earth-science-sea-ice-cryosphere-ice-deformation, earth-science-sea-ice-cryosphere-ice-depth-thickness, earth-science-sea-ice-cryosphere-ice-extent, earth-science-sea-ice-cryosphere-ice-types, earth-science-sea-ice-cryosphere-sea-ice-age, earth-science-sea-ice-cryosphere-sea-ice-concentration, earth-science-sea-ice-cryosphere-sea-ice-motion, earth-science-snow-ice-cryosphere-snow-cover
Organization: National Aeronautics and Space Administration
ENVISAT MERIS Full Resolution, Full Swath (FRS) Data, version 4

MERIS (Medium Resolution Imaging Spectrometer) is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command. The instrument scans the Earth's surface by the so called 'push-broom' method. Linear CCD arrays provide spatial sampling in the across-track direction, while the satellite's motion provides scanning in the along-track direction. MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5-degree field-of-view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.

Tags: earth-science-ocean-optics-oceans-ocean-color
Organization: National Aeronautics and Space Administration
Ecosys Model-Estimated Cropland Carbon Fluxes, Illinois, Indiana, and Iowa, 2001-2018

This dataset contains daily estimates of carbon fluxes in croplands derived from the "ecosys" model covering a portion of the Midwestern US (Illinois, Indiana, and Iowa) at county-level resolution from 2001-2018. Ecosys simulates water, energy, carbon, and nutrient cycles simultaneously for various ecosystems, including agricultural systems at up to hourly resolution. Estimates include: gross primary productivity (GPP), net primary productivity (NPP), autotrophic respiration (Ra), heterotrophic respiration (Rh), or net ecosystem exchange (NEE). Data were generated by the ecosys model constrained by observational data, including USDA crop yield from USDA National Agricultural Statistics Service, and a remote-sensing-based SLOPE GPP product. Model performance was evaluated using observations from AmeriFlux towers at agricultural sites within the study area. Agriculture in the US Midwest produces significant quantities of corn and soybeans, which are key elements to the global food supply. The data are provided in shapefile format.

Tags: earth-science-carbon-flux-climate-indicators, earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-ecological-dynamics-biosphere-ecosystem-functions-respiration-rate, earth-science-economic-resources-human-dimensions-agriculture-production-monoculture
Organization: National Aeronautics and Space Administration
ENVISAT MERIS Reduced Resolution (RR) Data, version 4

MERIS (Medium Resolution Imaging Spectrometer) is a programmable, medium-spectral resolution, imaging spectrometer operating in the solar reflective spectral range. Fifteen spectral bands can be selected by ground command. The instrument scans the Earth's surface by the so called 'push-broom' method. Linear CCD arrays provide spatial sampling in the across-track direction, while the satellite's motion provides scanning in the along-track direction. MERIS is designed so that it can acquire data over the Earth whenever illumination conditions are suitable. The instrument's 68.5-degree field-of-view around nadir covers a swath width of 1150 km. This wide field of view is shared between five identical optical modules arranged in a fan shape configuration.

Tags: earth-science-ocean-optics-oceans-ocean-color
Organization: National Aeronautics and Space Administration
ECOSTRESS/OCO-3 Co-Located Observations

The ECOSTRESS/OCO-3 (“ECOCO3”) data set consists of spatially and temporally co-located observations from the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) and the Orbiting Carbon Observatory 3 (OCO-3) instruments currently operating on the International Space Station. Land Surface Temperature, Evapotranspiration, and Water Use Efficiency data products from ECOSTRESS, and Solar-Induced Chlorophyll Fluorescence and Dry-Air Column Mole Fraction CO2 from OCO-3 are matched in space and time over 3°x3° areas across the globe where OCO-3 performs Snapshot Area Map and Target mode observations. The original, native resolution data products are filtered for data quality and spatially averaged onto a 0.005°x0.005° uniform grid, i.e., 557m x 557m or 0.3km2 at the Equator. The aim of the ECOCO3 product is to provide users with synergistic, high-quality data of terrestrial vegetation and atmospheric parameters, for easy and ready use in scientific analysis and modeling. The initial V1.0 release is based on ECOSTRESS Collection 1 and OCO-3 Version 11 data products, for the common measurement period of August 2019 through January 2023, from the start of OCO-3 observations through the end of ECOSTRESS Collection 1.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car
Organization: National Aeronautics and Space Administration