AndreaBozzo/ceres-open-data-index huggingface dataset:
Gridded Monthly Sea Ice Extent and Concentration, 1850 Onward, Version 2

Notice: Due to funding limitations, this data set was recently changed to a “Basic” Level of Service. Learn more about what this means for users and how you can share your story here: <a href="https://nsidc.org/data/user-resources/data-announcements/user-notice-level-service-update-data-products">Level of Service Update for Data Products</a>.<br><br> Observations from historical sources are the basis of this monthly gridded sea ice concentration product that begins in 1850. In 1979, these sources give way to a single source: concentration from satellite passive microwave data. The historical observations come in many forms: ship observations, compilations by naval oceanographers, analyses by national ice services, and others. Monthly sea ice concentration is given in a 1/4 degree latitude by 1/4 degree longitude grid. In addition to the concentration array, for each month a corresponding source array indicates where each of 16 possible sources is used. The file of concentration and source arrays conforms to NetCDF-4 standards.

Tags: earth-science-sea-ice-cryosphere-sea-ice-concentration
Organization: National Aeronautics and Space Administration
Gridded CO2 and CH4 Flux Estimates for pan-Arctic and Boreal Regions, 2003-2015

This dataset provides gridded estimates of gross primary productivity (GPP), ecosystem respiration (Reco), net ecosystem CO2 exchange (NEE = Reco - GPP), and methane (CH4) emissions from tundra and boreal wetland soils, across the pan-Arctic and Boreal zone (>49 degrees north) at 1-km spatial resolution. The data were produced through simulations of the Arctic Terrestrial Carbon Flux Model (TCFM-Arctic) and are provided at the daily time step for the years 2003-2015. TCFM-Arctic uses a light-use efficiency approach driven by satellite estimates of FPAR (fraction of absorbed photosynthetically active radiation) to estimate GPP, and autotrophic respiration (Rauto) is estimated as a fraction of GPP. Heterotrophic respiration (Rhetero) is estimated using decomposition rates with environmental constraints applied to three near-surface soil organic carbon (SOC) pools, and Reco is determined as the sum of Ra and Rh. Methane production is estimated using optimal CH4 production rates with environmental constraints applied to the labile carbon pool, and transfer of CH4 from the soil to the atmosphere is modeled through vegetation, soil diffusion, and water ebullition pathways. The model estimates were calibrated and evaluated using >60 tower eddy covariance (EC) sites. Baseline carbon pools were initialized by continuously cycling (spinning-up) the model for 1,000 model years using recent climatology from 1985 to 2002 to reach a dynamic steady-state between estimated net primary productivity (NPP = GPP - Rauto) and near-surface SOC pools. The TCFM-Arctic simulations were extended to the full Arctic-boreal domain at a 1-km spatial resolution using land cover maps representing high latitude vegetation communities. The data are provided in NetCDF and comma-separated values (CSV) formats.

Tags: earth-science-ecological-dynamics-biosphere-ecosystem-functions-biogeochemical-cycles, earth-science-ecological-dynamics-biosphere-ecosystem-functions-primary-production, earth-science-ecological-dynamics-biosphere-ecosystem-functions-respiration-rate
Organization: National Aeronautics and Space Administration
HLS Operational Land Imager Vegetation Indices Daily Global 30 m V2.0

The Harmonized Landsat and Sentinel-2 (HLS) project provides consistent data products from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 and Landsat 9 satellites and the Multi-Spectral Instrument (MSI) aboard Europe’s Copernicus Sentinel-2A, Sentinel-2B, and Sentinel-2C satellites. The combined measurement enables global observations of the land every 2–3 days at 30 meter (m) spatial resolution. The HLSL30 Vegetation Indices (HLSL30_VI) product is derived from Landsat 8 and Landsat 9 OLI data products. Vegetation indices combine specific bands of satellite data to quantify various aspects of vegetation. Analysis of vegetation indices allows for tracking changes in vegetation over time, identifying areas of stress or deforestation, and assessing crop health. Vegetation indices provide a reliable and efficient means of understanding the complex dynamics of vegetation health. The HLSS30_VI and HLSL30_VI products are gridded to the same resolution and Military Grid Reference System ([MGRS](https://hls.gsfc.nasa.gov/products-description/tiling-system/)) tiling system and thus are “stackable” for time series analysis. The HLSL30_VI product is provided in Cloud Optimized GeoTIFF (COG) format, and each variable is distributed as a separate file. Nine indicators of vegetation health are included in the HLSL30_VI product: Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil Adjusted Vegetation Index (SAVI), Modified Soil Adjusted Vegetation Index (MSAVI), Normalized Difference Moisture Index (NDMI), Normalized Difference Water Index (NDWI), Normalized Burn Ratio (NBR), Normalized Burn Ratio 2 (NBR2), and Triangular Vegetation Index (TVI). See the User Guide for a more detailed description of the individual vegetation health variables provided in the HLSL30_VI product.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification-vegetation-in, earth-science-surface-radiative-properties-land-surface-reflectance, earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
Gridded GEDI Vegetation Structure Metrics and Biomass Density at Multiple Resolutions

This dataset consists of near-global, analysis-ready, multi-resolution gridded vegetation structure metrics derived from NASA Global Ecosystem Dynamics Investigation (GEDI) Level 2 and 4A products associated with 25-m diameter lidar footprints. This dataset provides a comprehensive representation of near-global vegetation structure that is inclusive of the entire vertical profile, based solely on GEDI lidar, and validated with independent data. The GEDI sensor, mounted on the International Space Station (ISS), uses eight laser beams spaced by 60 m along-track and 600 m across-track on the Earth surface to measure ground elevation and vegetation structure between approximately 52 degrees North and South latitude. Between April 17th 2019 and March 16th 2023, GEDI acquired 11 and 7.7 billion quality waveforms suitable for measuring ground elevation and vegetation structure, respectively. This dataset provides GEDI shot metrics aggregated into raster grids at three spatial resolutions: 1 km, 6 km, and 12 km. In addition to many of the standard L2 and L4A shot metrics, several additional metrics have been derived which may be particularly useful for applications in carbon and water cycling processes in earth system models, as well as forest management, biodiversity modeling, and habitat assessment. Variables include canopy height, canopy cover, plant area index, foliage height diversity, and plant area volume density at 5 m strata. Eight statistics are included for each GEDI shot metric: mean, bootstrapped standard error of the mean, median, standard deviation, interquartile range, 95th percentile, Shannon's diversity index, and shot count. Quality shot filtering methodology that aligns with the GEDI L4B Gridded Aboveground Biomass Density, Version 2.1 was used. In comparison to the current GEDI L3 dataset, this dataset provides additional gridded metrics at multiple spatial resolutions and over several temporal periods (annual and the full mission duration). Files are provided in cloud optimized GeoTIFF format.

Tags: earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-canopy-characteristics-vegetation-height, earth-science-vegetation-biosphere-forest-composition-vegetation-structure
Organization: National Aeronautics and Space Administration
HLS Sentinel-2 Multi-spectral Instrument Surface Reflectance Daily Global 30m v1.5

The HLSS30 V1.5 data product was decommissioned on January 4, 2022. Users are encouraged to use the improved [HLSS30 V2](https://doi.org/10.5067/HLS/HLSS30.002) data product. The Harmonized Landsat Sentinel-2 (HLS) project provides consistent surface reflectance data from the Operational Land Imager (OLI) aboard the joint NASA/USGS Landsat 8 satellite and the Multi-Spectral Instrument (MSI) aboard the European Union’s Copernicus Sentinel-2A and Sentinel-2B satellites. The combined measurement enables global observations of the land every 2-3 days at 30 meter (m) spatial resolution. The HLS project uses a set of algorithms to obtain seamless products from OLI and MSI that include atmospheric correction, cloud and cloud-shadow masking, spatial co-registration and common gridding, illumination and view angle normalization, and spectral bandpass adjustment. The HLSS30 product provides 30 m Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) and is derived from Sentinel-2A and Sentinel-2B MSI data products. The HLSS30 and [HLSL30](https://doi.org/10.5067/HLS/HLSL30.015) products are gridded to the same resolution and Military Grid Reference System ([MGRS](https://hls.gsfc.nasa.gov/products-description/tiling-system/)) tiling system and thus are “stackable” for time series analysis. The HLSS30 product is provided in Cloud Optimized GeoTIFF (COG) format, and each band is distributed as a separate COG. There are 13 bands included in the HLSS30 product along with four angle bands and a quality assessment (QA) band. For a more detailed description of the individual bands provided in the HLSS30 product, please see the User Guide. Provisional HLS V1.5 data have not been validated for their science quality and should not be used in science research or applications. Known Issues * Interruptions in data service occurred during a restaging of backlogged data between June 1 and June 15, 2021 for both HLSS30 and HLSL30 version 1.5 data products. During this time period increased errors in the processing workflow resulted in a significant number of data ingestion failures and thus, significant gaps in data availability. Given the pending release of the version 2.0, science quality HLS products, these missing data will not be filled for version 1.5. Users of the provisional version 1.5 products should be aware of the significant data gap in this two week window. The version 2.0 products will incorporate these data back into the archive. If you have any feedback or questions on the data please contact [Customer Services](https://www.earthdata.nasa.gov/centers/lp-daac/contact) or join our HLS conversion on the [Earthdata Forum](https://forum.earthdata.nasa.gov/viewtopic.php?f=7&t=618&hilit=hls&sid=95750d868b6448e0f4360a1473def234).

Tags: earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
GRIP CAMPAIGN REPORTS V1

The GRIP Campaign Reports dataset consists of various reports filed by scientists during the GRIP campaign which took place 8/15/2010 - 9/30/2010; however, several of the reports are from the planning and test flights. Reports included in this dataset contain information for the Tri Agency Mission Scientists; DC-8, Global Hawk, and WB-57 Platform Scientists; DC-8, Global Hawk, and WB-57 Flight Reports and WB-57 Flight Summary; GRIP Telecons; and TropicalGRIP Forecasts. The Tri Agency Mission Scientists reports, GRIP telecons and Forecast reports were primarily filed daily, while the Platform and Flight reports exist primarily for flight days.

Tags: earth-science-platform-characteristics-spectral-engineering-flight-data-logs, earth-science-weather-events-atmosphere-tropical-cyclones, earth-science-weather-events-atmosphere-weather-climate-advisories-weather-forecast
Organization: National Aeronautics and Space Administration
GRIP DC-8 NAVIGATION AND HOUSEKEEPING DATA V1

The GRIP DC-8 Navigation and Housekeeping Data contains aircraft navigational data obtained during the GRIP campaign (15 Aug 2010 - 30 Sep 2010). The major goal was to better understand how tropical storms form and develop into major hurricanes. The NASA DC-8 is outfitted with a navigational recording system which in combination with the Research Environment for Vehicle-Embedded Analysis on Linux (REVEAL) provides detailed flight parameters such as airspeed, altitude, roll/pitch/yaw angles, ground speed, flight level wind speed, temperature and many others. The REVEAL system is a configurable embedded system for facilitating integration of instrument payloads with vehicle systems and communication links. REVEAL systems currently serve as onboard data acquisition, processing, and recording systems.

Tags: earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-winds-atmosphere-upper-level-winds-flight-level-winds, earth-science-platform-characteristics-spectral-engineering-flight-data-logs
Organization: National Aeronautics and Space Administration
GRIP AIRBORNE SECOND GENERATION PRECIPITATION RADAR (APR-2) V1

The GRIP Airborne Second Generation Precipitation Radar (APR-2) dataset was collected from the Second Generation Airborne Precipitation Radar (APR-2), which is a dual-frequency (13 GHz and 35 GHz), Doppler, dual-polarization radar system. It has a downward looking antenna that performs cross track scans. Additional features include: simultaneous dual-frequency, matched beam operation at 13.4 and 35.6 GHz (same as GPM Dual-Frequency Precipitation Radar), simultaneous measurement of both like- and cross-polarized signals at both frequencies, Doppler operation, and real-time pulse compression (calibrated reflectivity data can be produced for large areas in the field during flight, if necessary). The APR-2 flew on the NASA DC-8 for the Genesis and Rapid Intensification Processes (GRIP) experiment and collected data between Aug 17, 2010 - Sep 22, 2010 and are in HDF-4 format. The major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes.

Tags: earth-science-precipitation-atmosphere-precipitation-rate, earth-science-radar-spectral-engineering-doppler-velocity, earth-science-radar-spectral-engineering-radar-backscatter, earth-science-radar-spectral-engineering-radar-reflectivity
Organization: National Aeronautics and Space Administration
IceBridge Paroscientific L0 Pressure Altimeter Raw Air Pressure, Version 1

This data set contains air pressure readings taken over Antarctica using the Paroscientific Digiquartz Transmitter. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC), with additional support from NASA Operation IceBridge.

Tags: earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements
Organization: National Aeronautics and Space Administration
GRIP DC-8 DROPSONDE V3

The GRIP DC-8 Dropsonde V3 dataset consists of atmospheric pressure, dry-bulb temperature, dew point temperature, relative humidity, wind direction, wind speed, and fall rate measurements taken during 16 research flights during the Genesis and Rapid Intensification Processes (GRIP) campaign from August 17, 2010 to September 22, 2010. The GRIP campaign was conducted to better understand how tropical storms form and how these storms develop into major hurricanes. The DC-8 Airborne Vertical Atmospheric Profiling System (AVAPS) deploys integrated, highly accurate, GPS-located atmospheric profiling dropsondes to measure and record current atmospheric conditions in a vertical column below the aircraft. The dropsondes are ejected from a tube in the underside of the DC-8 aircraft. As the dropsonde descends to the surface via a parachute, it continuously measures and transmits data to the aircraft using a 400 MHz meteorological band telemetry link. Pressure, temperature and relative humidity, as well as GPS-based wind data were collected from 328 dropsondes. These Dropsonde data are in ASCII-csv file format.

Tags: earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-dew-point-temperature, earth-science-atmospheric-temperature-atmosphere-upper-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-dew-point-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-speed
Organization: National Aeronautics and Space Administration
GRIP GOES 13 OVERSHOOTING TOP V1

The GRIP GOES 13 Overshooting Top dataset was produced during the GRIP Field Experiment for use with the Real Time Mission Monitor (RTMM) tool. The major goal was to better understand how tropical storms form and develop into major hurricanes. The magnitude of each overshooting top is the difference between the 'anvil' temperature and the 'overshooting top' temperature. These magnitudess are represented as a color coded display using Google Earth, a virtual globe, map and geographical information program.

Tags: earth-science-clouds-atmosphere-cloud-properties-cloud-height
Organization: National Aeronautics and Space Administration
GRIP GOES 13 VISIBLE AND INFRARED IMAGES V1

The GRIP GOES 13 Visible and Infrared Images dataset was produced and archived in near real time at the Global Hydrology Resource Center throughout the Genesis and Rapid Intensification Processes (GRIP) campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The GOES I-M Imager is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the Earth. These image files were created for use with the Real Time Mission Monitor (RTMM). Generally, GOES-13 images are available for all dates between August 15 and September 30, 2010 at 15 minute intervals throughout this time period.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-imagery, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
HOMAGE Monthly Time series of global average steric height anomalies and ocean heat content estimates from gridded in-situ ocean observations version 01

The [HOMAGE_STERIC_OHC_TIME_SERIES_v01] dataset contains monthly global mean ocean heat content (OHC) anomalies as well as thermosteric, halosteric and total steric sea level anomalies computed from various gridded ocean data sets of sub-temperature and salinity profiles as provided by different institutions: Scripps Institution of Oceanography (SIO); Institute of Atmospheric Physics (IAP); Barnes objective analysis (BOA from CSIO, MNR); Jamstec / Ishii et al. 2017 (I17); and Met Office Hadley Centre: EN4_c13, EN4_c14, EN4_g10, and EN4_I09. The data are averaged over the quasi-global ocean domain (i.e., where valid values are defined; note that gaps exist, in particular towards polar latitudes), at monthly intervals. The input profiling data (i.e, temperature and salinity profiles at depth levels), editing, quality flags and processing schemes vary across the different gridded products, please refer to the documentation for each institution’s data product for details. Since 2005, the profiling data are dominated by the observations from the global Argo network (e.g., https://argo.ucsd.edu/), which comprises nearly 4000 active floats (as of 08/2022). Before 2005, non-Argo data such as XBT profilers were used, and the global ocean coverage was significantly more sparse. Data sets from SIO and BOA are Argo-only, while the others also include other observations, such as expendable bathythermographs (XBTs) and Conductivity-Temperature-Depth (CTD) observations. The data are active forward stream data files and will be frequently updated as new observations are acquired by Argo, and processed by the data centers.

Tags: earth-science-ocean-heat-budget-oceans, earth-science-sea-surface-topography-oceans-sea-level-sea-level-anomaly
Organization: National Aeronautics and Space Administration
GRIP FLIGHT TRACKS AND ANIMATIONS V1

The GRIP Flight Tracks and Animations dataset includes both KML files and animation files. The KML files use Google Earth to show the flight tracks on a map. The animations vary by type. Created by the Real-time Mission Monitor (RTMM) software, the .avi files show the flight track versus time superimposed over the GOES Infrared (IR) data from August 13, 2010 to September 25, 2010. The National SubOrbital Education and Research Center provided a file in two formats (.mov, .mp4) viewing hurricane Earl from the NASA DC-8 aircraft. Also a NBC newscast informs the public of the GRIP's goals during the campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk).

Tags: earth-science-platform-characteristics-spectral-engineering-flight-data-logs, earth-science-visible-wavelengths-spectral-engineering-visible-imagery
Organization: National Aeronautics and Space Administration
GRIP DOPPLER AEROSOL WIND LIDAR (DAWN) V1

The GRIP Doppler Aerosol WiNd Lidar (DAWN) Dataset was collected by the Doppler Aerosol WiNd (DAWN), a pulsed lidar, which operated aboard a NASA DC-8 aircraft during the Genesis and Rapid Intensification Processes (GRIP) field campaign. he major goal was to better understand how tropical storms form and develop into major hurricanes. NASA used the DC-8 aircraft, the WB-57 aircraft and the Global Hawk Unmanned Airborne System (UAS), configured with a suite of in situ and remote sensing instruments that were used to observe and characterize the lifecycle of hurricanes. This campaign also capitalized on a number of ground networks and space-based assets, in addition to the instruments deployed on aircraft from Ft. Lauderdale, Florida ( DC-8), Houston, Texas (WB-57), and NASA Dryden Flight Research Center, California (Global Hawk). Data values include Line-of-Sight (LOS) Winds, calculated vertical profiles of horizontal wind velocity, frequency-domain signal energy and time versus latitude and longitude. Instrument details can be found in the dataset documentation. Data was gathered during August 24, 2010 thru September 22, 2010 over the Atlantic Ocean.

Tags: earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed
Organization: National Aeronautics and Space Administration