AndreaBozzo/ceres-open-data-index huggingface dataset:
LPJ-PROSAIL L2 Global Simulated Dynamic Surface Reflectance V001

[LPJ-PROSAIL](https://www.greencurrey.com/lpj-prosail) simulated data products are produced through the coupling of the Lund-Potsdam-Jena dynamic global vegetation model (LPJ) and PROSAIL, a radiative transfer model. The simulated imaging spectroscopy data were produced to aid in the development of workflows, algorithm testing, and other activities during the lead up to future global spaceborne imaging spectroscopy missions such as NASA’s Surface Biology and Geology ([SBG](https://sbg.jpl.nasa.gov/)). The LPJ-PROSAIL Level 2 Global Simulated Dynamic Surface Reflectance (LPJ_L2_SSREF) Version 1 data product provides simulated dynamic surface reflectance data in five Network Common Data Format 4 (netCDF4) files, each containing a different reflectance stream at a spatial resolution of 0.5 degrees (~50 kilometers): bidirectional (BDR), bi-hemispherical (BHR), hemispherical-directional (HDR), directional-hemispherical (DHR), and directional (DR). Each reflectance file within a granule contains simulated surface reflectance measurements of 211 bands with 10 nanometer (nm) spectral resolution across a spectral range of 400 to 2500 nm for the entire globe. The data are presented with four dimensions: latitude, longitude, bands (wavelength), and time. Each netCDF4 file holds a one-dimensional list for each of the four dimensions containing the values that are associated with those dimensions. LPJ_L2_SSREF Version 1 is composed of one granule containing data for the year 2020 with monthly time increments. Known Issues * Data Usage Warning: These data are meant to be used in development of workflows, algorithms, and other instances where large imaging spectroscopy datasets are needed for testing. Due to the simulated nature of these data, these data are not intended for scientific use and should not be used for any real-world scientific analyses or conclusions.

Tags: earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
LPJ-EOSIM L2 Global Simulated Daily Wetland Methane Flux V001

The Lund-Potsdam-Jena Earth Observation SIMulator (LPJ-EOSIM) model estimates global wetland methane (CH4) emissions using simulated wetland extent and characteristics including soil moisture, temperature, and carbon content. For this dataset, wetlands are defined as land areas that are either permanently or seasonally saturated, excluding small ponds, lakes, and coastal wetlands. These wetland CH4 flux data will be used to support the United States Greenhouse Gas Center ([GHGC](https://earth.gov/ghgcenter)) and its mission to study natural GHG fluxes. The model will also be used to facilitate improved rapid detection and attribution of climate-carbon feedback and help with strategic placement of measurement campaigns and monitoring systems as they relate to predicted biogeochemical hotspots. The LPJ-EOSIM Level 2 Global Simulated Daily Wetland Methane Flux (LPJ_EOSIM_L2_DCH4E) Version 1 data product provides simulated daily wetland CH4 flux globally at a spatial resolution of 0.5 degrees. The daily data are presented in four Cloud Optimized GeoTIFF (COG) files: two based on the forcing datasets Modern-Era Retrospective analysis for Research and Applications Version 2 (MERRA-2) and European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA5), and two containing the mean and standard deviation values. Due to the latency of global carbon dioxide (CO2) concentration estimates required for computation of LPJ-EOSIM simulated daily CH4 flux data products, low latency ([LPJ_EOSIM_L2_DCH4E_LL](https://doi.org/10.5067/Community/LPJ-EOSIM/LPJ_EOSIM_L2_DCH4E_LL.001)) and high latency (LPJ_EOSIM_L2_DCH4E) collections are available. High latency data in this collection will be delivered around May of each year when National Oceanic and Atmospheric Administration’s (NOAA) Global Monitoring Laboratory (GML) publishes the previous year’s CO2 concentration and will have a lag of at least 5 months (January-May), and at most 17 months (January of the current year to May of the next year). Please refer to Section 2.0.1 of the User Guide for a more detailed explanation of CO2 estimate inputs and timing for scheduled updates to the collections.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane
Organization: National Aeronautics and Space Administration
Lunar Laser Ranging (LLR) data from NASA CDDIS

Lunar Laser Ranging (LLR) measures the distance between the Earth and the Moon using laser ranging. A short pulse of coherent light generated by a laser (Light Amplification by Stimulated Emission of Radiation) is transmitted in a narrow beam to illuminate corner cube retroreflectors on the moon. The return signal, typically a few photons, is collected by a telescope and the time-of-flight is measured. Apollo astronauts and Russian rovers deployed laser ranging retroreflector arrays on the lunar surface which continue to yield fundamental scientific data. Analysis of Lunar Laser Ranging (LLR) data provides information on the lunar orbit, rotation, solid-body tides, and retroreflector locations.

Tags: earth-science-not-provided-not-provided
Organization: National Aeronautics and Space Administration
LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019

This dataset, referred to as LUH2-GCB2019, includes 0.25-degree gridded, global maps of fractional land-use states, transitions, and management practices for the period 0850-2019. The LUH2-GCB2019 dataset is an update to the previous Land-Use Harmonization Version 2 (LUH2-GCB) datasets prepared as required input to land models in the annual Global Carbon Budget (GCB) assessments, including land-use change data relating to agricultural expansion, deforestation, wood harvesting, shifting cultivation, afforestation, and crop rotations. Compared with previous LUH2-GCB datasets, the LUH2-GCB2019 takes advantage of new data inputs that corrected cropland and grazing areas in the globally important region of Brazil, as far back as 1950. LUH2-GCB datasets are used by bookkeeping models and Dynamic Global Vegetation Models (DGVMs) for the GCB.

Tags: earth-science-economic-resources-human-dimensions-agriculture-production, earth-science-environmental-governance-management-human-dimensions-land-management-land-use-cla, earth-science-forest-science-agriculture-forest-management, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-landscape-land-surface-landscape-management
Organization: National Aeronautics and Space Administration
LUH1: Harmonized Global Land Use for Years 1500-2100, V1

These data represent fractional land use and land cover patterns annually for the years 1500 - 2100 for the globe at 0.5-degree (~50-km) spatial resolution. Land use categories of cropland, pasture, primary land, secondary (recovering) land, and urban land, and underlying annual land-use transitions, are included. Annual data on age and biomass density of secondary land, as well as annual wood harvest, are included for each grid cell. Historical land cover data for the years 1500 - 2005 are based on HYDE 3.1 and future land cover projections for the period 2006 - 2100 came from four Integrated Assessment Model (IAM) scenarios which reach different levels of radiative forcing by year 2100: MESSAGE (8.5 W/m2), AIM (6 W/m2), GCAM (4.5 W/m2), and IMAGE (2.6 W/m2). A key feature of these data is that historical reconstructions of land use were harmonized (computationally adjusted to minimize differences at the transition period) with modeled future scenarios, allowing for a seamless examination of historical and future land use. The output data present a single consistent, spatially gridded set of land-use change scenarios for studies of human impacts on the past, present, and future Earth system. For additional information about the algorithms, inputs, and options used in creating the land use transitions data, please refer to Hurtt et al. (2006) and Hurtt et al. (2011). Data are presented as a series of twenty (20) different data products representing different past and future model scenarios. There are a total of 560 NetCDF v4 files (*.nc4), one for each combination of data product and land use variable.

Tags: earth-science-forest-science-agriculture-forest-yields, earth-science-land-use-land-cover-land-surface-land-resources, earth-science-land-use-land-cover-land-surface-land-use-classes
Organization: National Aeronautics and Space Administration
LUH2-ISIMIP2b Harmonized Global Land Use for the Years 2015-2100

This dataset provides 0.25-degree gridded, global, annual estimates of fractional land use and land cover patterns for the period 2015-2100, designed to support the ISIMIP2b effort to assess the impacts of 1.5 Deg Celcius global warming. Land use types, land use transitions, and cropland estimates of area fraction are provided and include detailed separation of primary and secondary natural vegetation into forest and non-forest sub-types, pasture into managed pasture and rangeland, and cropland into multiple crop functional types; all transitions between land use states per grid cell per year, including crop rotations, shifting cultivation, and wood harvest; and agriculture management including irrigation, synthetic nitrogen fertilizer, and biofuel management. The LUH2-ISIMIP2b datasets were derived using Land Use Harmonization 2 (LUH2) methodology and are based on land-use scenarios provided by the REMIND-MAgPIE Integrated Assessment Model using an SSP2 storyline along with RCP2.6 and RCP6.0 emissions scenarios. In contrast to the standard SSP scenarios, these land use changes additionally account for climate and atmospheric CO2 fertilization effects on the underlying patterns of potential crop yields, water availability, and terrestrial carbon content. This is achieved by using the LPJmL (Lund-Potsdam-Jena managed land) model forced with atmospheric CO2 concentrations and patterns of climate change generated from 4 different climate models (GFDL, HADGEM, IPSL, and MIROC) consistent with the 2 different RCP scenarios, resulting in a set of 8 different LUH2-ISIMIP2b datasets.

Tags: earth-science-ecosystems-biosphere-anthropogenic-human-influenced-ecosystems-agricultural-lands, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-land-use-land-cover-land-surface-land-resources, earth-science-land-use-land-cover-land-surface-land-use-classes, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Machine learning-based Arctic-boreal terrestrial ecosystem CO2 fluxes, 2001-2020

This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), and net ecosystem CO2 exchange (NEE) across the circumpolar terrestrial Arctic-boreal region at a 1-km spatial resolution. Monthly CO2 flux data from 2001 to 2020 were generated using terrestrial eddy covariance and chamber CO2 flux observations, combined with geospatial meteorological, remote sensing, topographical and soil data, all within a random forest modeling framework. Aggregated average annual NEE, average annual NEE with direct fire emissions added based on the Global Fire Emissions Database (GFED) product, and temporal trends in annual NEE rasters over 2002-2020 are also included. The data are provided in NetCDF and GeoTIFF formats.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-carbon-flux-climate-indicators, earth-science-ecological-dynamics-biosphere-ecosystem-functions-respiration-rate, earth-science-soils-land-surface-carbon-net-ecosystem-co2-exchange-nee, earth-science-soils-land-surface-soil-productivity-gross-primary-production-gpp, earth-science-soils-land-surface-soil-respiration
Organization: National Aeronautics and Space Administration
M2-SCREAM: 3d,3-Hourly,Instantaneous,Model-Level,Assimilation,Assimilated Constituent Fields,Replayed MERRA-2 Meteorological Fields

The MERRA-2 Stratospheric Composition Reanalysis of Aura MLS (M2-SCREAM) products produced at NASA’s Global Modeling and Assimilation Office (GMAO) are generated by assimilating MLS and OMI retrievals into the GEOS Constituent Data Assimilation System (CoDAS) driven by meteorological fields from MERRA-2. M2-SCREAM assimilates hydrochloric acid (HCl), nitric acid (HNO3), stratospheric water vapor (H2O), nitrous oxide (N2O) and ozone with a system equipped with a version of the GEOS general circulation model and a stratospheric chemistry model, StratChem. Assimilated fields are provided globally at 0.5° by 0.625° resolution at three-hourly frequencies from 2004/09/01 to 2024/09/30. Assimilation uncertainties for each of the assimilated constituents are calculated from the CoDAS statistical output (Wargan et al., 2022) and provided as global full-resolution three-dimensional monthly files. Data product updates in March 2024, as a result of Aura MLS “duty cycle” of 190-GHz measurements, include reduced availability of H2O, N2O and HNO3 retrievals resulting in expected M2-SCREAM data quality degradation. However, preliminary analysis shows that the GEOS CoDAS handles the reduced temporal data coverage well, indicating that the GEOS model accurately propagates information from past observations. Data product updates in June 2024 resulting from MLS version upgrade to v5.0 include discontinuities in assimilated H2O (throughout the stratosphere) and N2O (in the lower stratosphere). To note: MLS water vapor is about 0.5 ppmv lower in v5.0, and the vertical range of assimilated N2O data is 100 hPa, extended down from 68 hPa. GMAO is not aware of discontinuities in HCl, HNO3, and ozone related to the version switch.

Tags: earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species
Organization: National Aeronautics and Space Administration
MACPEX WB-57 Aircraft In-situ Water Data

MACPEX_Water_AircraftInSitu_WB57_Data is the in-situ water data collection during the Mid-latitude Airborne Cirrus Properties Experiment (MACPEX). Data was collected by the Harvard Water Vapor (HWV), Closed-path Laser Hygrometer (CLH), Diode Laser Hygrometer (DLH), JPL Laser Hygrometer (JLH), Unmanned Aerial System Laser Hygrometer (ULH), Fast In-situ Stratospheric Hygrometer (FISH), NOAA Chemical Ionization Mass Spectrometer (CIMS), and the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). Data collection for this product is complete. The MACPEX mission was an airborne field campaign that deployed from March 18th to April 26th, 2011. MACPEX sought to investigate cirrus cloud properties and the processes that affect their impact on radiation. The campaign conducted science flights using the NASA WB-57 aircraft based out of Ellington Airfield, Texas. Science flights were focused on the central North America vicinity, with an emphasis over the Southern Great Plains atmospheric observatory (established by the Department of Energy’s (DoE) Atmospheric Radiation Measurement (ARM) user facility) site in Oklahoma. MACPEX was a joint effort between NASA, the NOAA Earth System Research Laboratory (ESRL), the National Center for Atmospheric Research (NCAR), and several U.S. universities. The WB-57 contained a comprehensive instrument payload for detailed in-situ measurements that were targeted to answer MACPEX’s four major science questions. The first science question that MACPEX explored was how prevalent the smaller crystals are in cirrus clouds, and how important they are for extinction, radiative forcing, and radiative heating. MACPEX also sought to understand how cirrus microphysical properties (particle size distribution, ice crystal habit, extinction, ice water content) are related to the dynamical forcing driving cloud formation. Researchers also investigated how cirrus microphysical properties are related to aerosol loading and composition, including the abundance of heterogeneous ice nuclei. Lastly, this campaign examined how cirrus microphysical properties evolve through the lifecycles of the clouds, and the role radiatively driven dynamical motions play. In addition to the in-situ measurements, four flights were coordinated to validate the NASA EOS/A-Train satellite observations. NOAA also launched balloon sondes and ozonesondes, which were used to acquire data about the frost point and water vapor in the atmosphere. The balloon sondes and ozonesondes also acquired pressure, temperature, and humidity data, as well as measurements regarding the ozone in the atmosphere.

Tags: earth-science-air-quality-atmosphere-carbon-monoxide, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrous-oxide, earth-science-atmospheric-water-vapor-atmosphere, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles-water-vapor-mixing-ratio, earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice
Organization: National Aeronautics and Space Administration
MACPEX WB-57 Aircraft In-situ Aerosol Data

MACPEX_Aerosol_AircraftInSitu_WB57_Data is the in-situ aerosol data collected during the Mid-latitude Airborne Cirrus Properties Experiment (MACPEX). Data was collected by the Electron Microscope Ice Residual Impactor (EMIRI), Particle Analysis by Laser Mass Spectroscopy (PALMS), Single Particle Soot Photometer (SP2), Focused Cavity Aerosol Spectrometer (FCAS), FCAS II, and the Nuclei-Mode Aerosol Size Spectrometer II (NMASS II). Data collection for this product is complete. The MACPEX mission was an airborne field campaign that deployed from March 18th to April 26th, 2011. MACPEX sought to investigate cirrus cloud properties and the processes that affect their impact on radiation. The campaign conducted science flights using the NASA WB-57 aircraft based out of Ellington Airfield, Texas. Science flights were focused on the central North America vicinity, with an emphasis over the Southern Great Plains atmospheric observatory (established by the Department of Energy’s (DoE) Atmospheric Radiation Measurement (ARM) user facility) site in Oklahoma. MACPEX was a joint effort between NASA, the NOAA Earth System Research Laboratory (ESRL), the National Center for Atmospheric Research (NCAR), and several U.S. universities. The WB-57 contained a comprehensive instrument payload for detailed in-situ measurements that were targeted to answer MACPEX’s four major science questions. The first science question that MACPEX explored was how prevalent the smaller crystals are in cirrus clouds, and how important they are for extinction, radiative forcing, and radiative heating. MACPEX also sought to understand how cirrus microphysical properties (particle size distribution, ice crystal habit, extinction, ice water content) are related to the dynamical forcing driving cloud formation. Researchers also investigated how cirrus microphysical properties are related to aerosol loading and composition, including the abundance of heterogeneous ice nuclei. Lastly, this campaign examined how cirrus microphysical properties evolve through the lifecycles of the clouds, and the role radiatively driven dynamical motions play. In addition to the in-situ measurements, four flights were coordinated to validate the NASA EOS/A-Train satellite observations. NOAA also launched balloon sondes and ozonesondes, which were used to acquire data about the frost point and water vapor in the atmosphere. The balloon sondes and ozonesondes also acquired pressure, temperature, and humidity data, as well as measurements regarding the ozone in the atmosphere.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-organic-particles, earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species, earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice, earth-science-clouds-atmosphere-cloud-microphysics-particle-size-distribution, earth-science-ocean-chemistry-oceans-organic-carbon
Organization: National Aeronautics and Space Administration
Measurements off the Argentinian coast near Drakes Passage

Measurements made in the South Atlantic Ocean in 2008 and 2009 off the Argentinian coast near Drakes Passage.

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
Measurements taken in the Aegean and Black seas onboard the R/V Akwanavt

Measurements taken in the Aegean and Black seas during 1997 onboard the R/V Akwanavt.

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
Measurements taken onboard R/V Kaimimoana between 1999 and 2002

Measurements from the NOAA ship, the Kaimimoana between 1999 and 2002.

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
MEaSUREs Greenland Ice Sheet Mosaics from SAR Data, Version 1

This data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains high resolution mosaics of radar backscatter for the Greenland Ice Sheet derived from synthetic aperture radar (SAR) data. Both calibrated and uncalibrated mosaics are available for: the winters of 2000-2001, 2005-2006 through 2008-2009, and 2012-2013; and a multiyear composite. Uncalibrated mosaics are available for the winter of 2009-2010. All mosaics are provided at both 100 m and 20 m resolutions. See <a href="http://nsidc.org/data/measures/gimp">Greenland Ice Mapping Project (GIMP)</a> for related data.

Tags: earth-science-radar-spectral-engineering-radar-backscatter, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
Measurements in Lake Okeechobee, Florida, 1997 - 1999

Optical measurements made in Lake Okeechobee, Florida, between 1997 and 1999

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
Measurements from the Outer Banks and coastal regions of North Carolina onboard the R/V Sabrina

Measurements taken by the research vessel Sabrina in the Outer Banks and coastal regions of North Carolina in 2002 and 2003.

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
Measurements made by the NOAA R/V Ron H. Brown

Measurements made by the NOAA research vessel, the Ron H. Brown between 2000 and 2002.

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
Measurements made by the Lady Pamela research vessel off the south Florida coast

Measurements made by the Lady Pamela research vessel off the south Florida coast near Fort Lauderdale in 2003.

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
Measurements made by the Akademik Kurchatov Russian research vessel

Measurements made by the Akademik Kurchatov Russian research vessel in the Atlantic Ocean and Black Sea in 1988.

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