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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,137 datasets
Historical and future distribution data for the medicinal herb Gastrodia elata in China. The dataset covers a temporal range from 25 AD to 2100 AD, combining historical records from ancient texts with modern and future climate suitability projections. It was created by Shiyan Liu and published on figshare in May 2026.
China's historical and future distribution of Gastrodia elata, a prized medicinal herb, is documented from A.D. 25 to 2100. The dataset, created by Shiyan Liu and shared under CC-BY-4.0, models suitable growth areas using the MaxEnt model based on climate data and historical records from ancient texts. It was last updated on May 14, 2026.
A.D. 25–2100 records of the prized medicinal herb Gastrodia elata's distribution across China, compiled by Shiyan Liu. The dataset combines historical records from ancient texts with future projections modeled using MaxEnt. It documents shifts in production areas from the Yellow River Basin to the Yangtze River Basin over nearly two millennia.
China's historical and future distribution of the medicinal herb Gastrodia elata, modeled from A.D. 25 to 2100. Shiyan Liu authored this study, which uses ancient texts and MaxEnt modeling to track shifts in suitable production areas. The data was last updated on 2026-05-14.
NASA's NPP Grassland dataset provides biomass and climate measurements from the Khomutovskaya Steppe Nature Reserve in Ukraine. It includes biomass data from 1948 and 1967-1970, alongside monthly and annual climate data from 1955 to 1972. Averaged biomass estimates include 340 g/m2 for above-ground live phytomass and 460 g/m2/yr for ANPP.
Northern Patagonia's Pampa de Leman (-45.43 S, -69.83 W) hosts this dataset of monthly productivity and climate measurements from August 1980 to March 1982. Dynamics of above-ground biomass, dead matter, and litter were monitored in a 1.5-hectare sheep exclosure, dominated by the dwarf shrub Nassauvia glomerulosa and grasses Poa dusenii and Hordeum comosum. The data supports an estimated annual above-ground net primary productivity (ANPP) of 78 g/m2/yr.
Version 11.2r is the current version of this dataset, superseding all older versions. It contains calibrated radiance spectra and geolocation information from NASA's Orbiting Carbon Observatory-2 (OCO-2) satellite, produced by converting raw instrument data numbers. The data is derived from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths for carbon dioxide and molecular oxygen.
NASA's OCO-2 Level 1B Calibration dataset contains calibrated, geolocated spectra from the Orbiting Carbon Observatory-2 satellite's three high-resolution spectrometers. The data result from calibration mode measurements, such as Lunar, Solar, and Dark observations, and differ from science products primarily in their geolocation reporting. Each spectral band provides 1016 spectral elements in the near-infrared and molecular oxygen wavelengths for instrument calibration.
OCO-2 Level 2 spatially ordered geolocated retrievals screened using the IMAP-DOAS Preprocessor (IDP) Retrospective Processing V11.2r is a NASA dataset from the Orbiting Carbon Observatory-2 mission. It contains outputs from the IMAP-DOAS preprocessor, which screens the official XCO2 product and retrieves Solar-Induced Fluorescence from the 0.76 micrometer O2 A-band. The data is produced by three high-resolution spectrometers on the LEOStar-2 spacecraft measuring reflected sunlight at specific near-infrared wavelengths.
Version 11 is the current version of this dataset, superseding all older versions. It contains Level 1B calibrated spectra from the OCO-3 instrument, which was deployed to the International Space Station in May 2019. The data results from calibration mode measurements, such as lunar, solar, and dark observations, and differs from science products by reporting boresight vector direction instead of per-sounding geolocation.
NASA's OCO-3 Level 2 Standard dataset provides geolocated atmospheric carbon dioxide (XCO2) retrievals from the instrument deployed on the International Space Station in May 2019. The data are produced by three high-resolution spectrometers measuring reflected sunlight in near-infrared CO2 and molecular oxygen bands. These measurements support the characterization of processes controlling atmospheric CO2 buildup.
NASA's Orbiting Carbon Observatory-3 (OCO-3) Level 2 dataset provides spatially ordered, geolocated retrievals of atmospheric carbon dioxide from the International Space Station. The data are produced by three high-resolution spectrometers measuring reflected sunlight in near-infrared CO2 and molecular oxygen A-band wavelengths. A primary cloud-screening algorithm uses a fast Bayesian retrieval on O2 A-band spectra to estimate surface pressure and albedo, flagging scenes with cloud or aerosol contamination.
OCO-3 Level 2 Lite data provides bias-corrected column-averaged dry-air mole fraction of carbon dioxide (XCO2) from the International Space Station. The dataset is produced by three high-resolution spectrometers measuring reflected sunlight in specific near-infrared and oxygen A-band wavelengths to characterize processes controlling atmospheric CO2 buildup. A fast Bayesian retrieval algorithm estimates surface pressure and albedo while screening for clouds and aerosols.
NASA's OCO-3 instrument, deployed to the International Space Station in May 2019, provides high-resolution atmospheric carbon dioxide measurements. Its three spectrometers measure reflected sunlight at specific near-infrared wavelengths to retrieve column-averaged dry-air mole fractions of CO2 (XCO2). The data's primary cloud-screening tool uses a fast Bayesian retrieval on the molecular oxygen A-band to estimate surface pressure and albedo.
Raw mechanical and physical property data from sintering experiments using synthetic glass beads as a magma analogue. The data were collected from 2021 onwards and analyzed at LMU Munich, with experiments conducted under uniaxial and triaxial stress conditions. Results include porosity and permeability measurements before, during, and after experiments designed to simulate volcanic processes.
NASA's Orbiting Carbon Observatory-3 (OCO-3) Level 1B dataset provides calibrated, geolocated science spectra from an instrument deployed to the International Space Station in May 2019. The data are collected by three high-resolution spectrometers measuring reflected sunlight at specific near-infrared and oxygen A-band wavelengths to infer atmospheric carbon dioxide. A primary use of the spectra is for the Oxygen-A Band cloud screening algorithm, which employs a fast Bayesian retrieval to estimate surface pressure and albedo and identify scenes containing cloud or aerosol.
Version 10r, the current version as of April 2026, supersedes all older releases. The dataset contains Level 2 geolocated retrievals of the column-averaged dry-air mole fraction of carbon dioxide (XCO2) from the OCO-3 instrument, which was deployed to the International Space Station in May 2019. It is produced by three high-resolution spectrometers measuring reflected sunlight in specific near-infrared and oxygen A-band wavelengths to characterize processes controlling atmospheric CO2 buildup.
Northern Alaska is the focus of this Level 1 polarimetric radar backscattering coefficient dataset from the AirMOSS P-band SAR instrument. The data, collected by NASA over 10 study sites during six flight campaigns from 2014 to 2015, is designed for deriving soil water content and permafrost state estimates. The dataset's cross-platform presence on data.gov and NASA EarthData indicates its established role in cryosphere and subsurface research.
Depth estimates for the base of the Cenozoic layer in the West Musgrave region of Australia, derived from airborne electromagnetic conductivity models. The data was produced by Geoscience Australia's Exploring for the Future program and standardized for the EGGS database to support future modeling under the Resourcing Australia’s Prosperity initiative. The record was last updated on May 14, 2026.
Flux tower measurements quantify the exchange of energy and mass between the surface and the atmospheric boundary layer using eddy covariance techniques. Data were processed with PyFluxPro and ONEFlux software to produce a final, gap-filled product containing Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration. The tower was installed by the University of Tasmania in July 2024 on a sedgeland-grassland site at 860 meters elevation in Tasmania.