Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,097 datasets
Named Watercourse defines the centreline of a named water course in New South Wales as a single feature. It is an aggregation of Hydro Line parts and provides the NSW component of the Australian Hydrological Geospatial Fabric. Spatial Services continuously updates this theme with information sourced from stakeholders, data verification, and aerial imagery.
MODIS-derived satellite data provides gross primary productivity (2000-2010), fraction of photosynthetically active radiation (2003-2013), and sea surface temperature (2003-2013) for three coastal transects on the Baja California Peninsula. The dataset includes the NOAA Multivariate ENSO Index (MEI) for the same period as a climate oscillation indicator. Measurements are tied to eight specific terrestrial sites across Punta Colonet, Punta Abreojos, and Magdalena Bay.
Two tables of data from a 2022 field experiment near Vent, Austria, testing cross-seasonal climate stressors on carbon cycling. The dataset includes plant shoot and root biomass, soil exchangeable organic carbon, microbial biomass carbon, and 13C incorporation into these pools. It was authored by Arthur Broadbent and shared under a CC-BY-4.0 license.
Spatial Services provides a polygon feature class representing the approximate extent of formally named water features with indistinct boundaries in New South Wales. The dataset includes bay-like, river-like, and sea-like features and supports the Australian Hydrological Geospatial Fabric. It was initially published on 06/02/2020 and uses the GDA2020 coordinate system.
NYC Climate Budgeting Report: Emission Factors contains forecasted conversion factors for electricity generation and transportation. The dataset is used to convert activity data into particulate matter 2.5 (PM2.5) emissions and metric tons of carbon dioxide equivalent (mTCO2e). It is published by the City of New York and is scheduled for annual updates during the Executive Budget.
ETCCDI temperature-extreme indices were generated by Younes Khosravi for a manuscript on projected climate extremes. The dataset contains four derived indices—TN90p, TX90p, TNx, and TXx—calculated from refined CMIP6 daily temperature fields for a historical baseline (1985–2014) and three future periods (2015–2100) under SSP scenarios. It was last updated on June 4, 2026.
NEXRAD weather radar data from the KGYX site, collected during the GPM Cold-season Precipitation Experiment (GCPEx) from January 9 to March 12, 2012. This dataset provides Level 2 and Level 3 binary files to validate and improve satellite-based snowfall detection algorithms for NASA's Global Precipitation Measurement mission. The experiment specifically targeted the microphysical properties of snow to address known shortcomings in remote sensing estimates.
Radar observations from the GPM Cold-season Precipitation Experiment (GCPEx) collected between February 6 and March 12, 2012. The dataset contains Level 2 and Level 3 binary files from the KBOX Next Generation Weather Radar (NEXRAD) site, part of a network of 160 WSR-88D radars. These data were gathered by NASA to characterize the ability of multi-frequency microwave sensors to detect and estimate falling snow.
160 NEXRAD weather radar sites collected data from January 9 to March 12, 2012 for the GPM Cold-season Precipitation Experiment. NASA's GCPEx campaign gathered these observations to characterize the ability of multi-frequency microwave sensors to detect and estimate falling snow. The dataset includes Level 2 binary files and Level 3 compressed binary files from the KTYX radar site.
This dataset contains Level 2 and Level 3 NEXRAD radar observations from the Buffalo, NY (KBUF) site, collected during the GPM Cold-season Precipitation Experiment (GCPEx) from February 6 to March 12, 2012. The experiment aimed to improve satellite-based snowfall retrieval algorithms by gathering coordinated ground-based microphysical and remote sensing data. It was produced by NASA to validate measurements from the Global Precipitation Measurement (GPM) mission's multi-frequency microwave sensors.
Spot Height is a point feature class representing individual surveyed elevation points across New South Wales. The dataset is part of the state's authoritative Foundation Spatial Data Framework and was initially captured from stereoscopic aerial photography at scales of 1:25,000, 1:50,000, and 1:100,000. It is provided by Spatial Services, a business unit of the Department of Customer Service NSW, and has been updated to the GDA2020 geodetic standard.
New South Wales Hydro Point data represents points for standard inland water bodies where flow is minor. The dataset classifies water bodies as natural or man-made and indicates whether they are perennial, non-perennial, or mainly dry. Spatial Services continuously updates this theme using stakeholder information, aerial imagery, and elevation data.
Methane fluxes and isotopic data were measured at the water-air interface and in sediment bubbles from two Amazonian reservoirs, Tucurui and Samuel, between June 2000 and September 2001. The dataset includes concentration and isotopic analyses to compare methane cycling in deep versus shallow hydroreservoirs. This study was conducted under the LBA-ECO project and is hosted by NASA.
Forest structure and microclimate data from 60 plots of 125 m² each in La Campana National Park, Chile, collected during the 2023-2024 austral summer season. The dataset includes tree biometrics, species, condition, canopy cover, and soil moisture and temperature measurements at three levels. It was produced by a collaboration between the University of Stirling and Universidad de O'Higgins, led by Prof. Alistair Jump, Dr. Sarah Greenwood, and Dr. Alejandro Venegas González.
Long-term biomass and climate measurements from a semi-desert steppe at the Dzhanybek Research Station in Kazakhstan. The dataset includes a time series of peak live biomass from 1955 to 1989 (excluding 1976), seasonal above-ground biomass and dead matter from 1985-1989, and monthly/annual climate data from 1953-1989. Averaged values include above-ground live phytomass at 137 g/m², standing dead at 32 g/m², below-ground phytomass at 1,750 g/m², and ANPP estimated at 201 g/m²/yr.
2,150 grams per square meter per year was the estimated total net primary production for a Loudetia simplex grass savanna in Ivory Coast, with 61% occurring below ground. Monthly biomass and carbon/nitrogen ratio measurements from 1969-1987 are paired with climate data from 1969-1990, documenting a system where 50-90% of above-ground biomass burns annually. The data files, originally published in 1996, remain unchanged with only documentation updates noted in 2024.
Olokemeji Forest Reserve, Nigeria, provides the location for this dataset containing monthly above-ground biomass measurements from May 1956 to February 1958, plus sporadic measurements through 1964. It includes concurrent climate data on precipitation and temperature from a site weather station for the full period 1956-1964. The data supports analysis of biomass dynamics and net primary production in a humid, annually burned derived savanna.
NASA's NPP Grassland dataset provides three text files of ecological measurements from a temperate dry steppe in Rio Mayo, Argentina. It includes quarterly above-ground grass biomass for 1984-1985, annual above-ground net primary production (ANPP) for grasses and shrubs from 1972 to 1997, and precipitation and temperature data from 1968 through 1990. The data, collected via harvest methods, shows ANPP for grasses and shrubs ranged from 21 to 75 g/m²/yr, with grasses accounting for about two-thirds of productivity.
A polygon feature class defining hydrographic feature types for New South Wales, Australia. The data includes waterbody areas and watercourses, classified as perennial, non-perennial, or mainly dry, and is continuously updated by Spatial Services. It provides the NSW component for the Australian Hydrological Geospatial Fabric and Australian Water Resources Information System.
New South Wales Hydro Line data defines the centerline of watercourses within the state. It includes natural watercourses, canals, drains, spillways, and tunnel-siphons, with attributes for name, perennial status, and flow direction. The dataset is part of the Foundational Spatial Data Framework and has been updated to the GDA2020 geodetic standard.