Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,045 datasets
Fiji earthquake data from July 2, 2025, detailing a magnitude 5.6 event near Tuvuca. The dataset, provided by the WFP's Automated Disaster Analysis and Mapping (ADAM) system, includes the epicenter coordinates, depth, and an estimate of 2,558 people impacted within a 50km radius.
A geospatial dataset from the WFP's ADAM system details a magnitude 5.6 earthquake near Fiji on August 26, 2025. The data includes the event's epicenter at latitude -17.8642, longitude -178.5457, a depth of 589.068 km, and indicates 801 people were impacted within a 50km radius. It was last updated on May 21, 2026, and is provided in GEOJSON format.
Australian Ocean Data Network hosts a dataset quantifying fish behaviour and commercial catch rates in relation to a 2-D seismic survey in the Gippsland Basin, Bass Strait, Australia, in April 2015. The study combines field-based acoustic telemetry data for three species (gummy shark, swell shark, tiger flathead) with a desktop analysis of Commonwealth fisheries logbook data from January 2012 to October 2015 for fifteen species. Results show mixed impacts, with some species exhibiting changes in movement or catch rates following the seismic operations.
Global ocean coverage is provided by this Terra MODIS Level-2 product, which retrieves sea surface temperature from mid-wave infrared bands near 4 µm. The data is produced in near real-time by NASA's Ocean Biology DAAC, offering a snapshot from a single orbit, though with suboptimal calibration inputs. SST4 measurements are designed for nighttime use and can complement traditional split-window SST in humid or tropical conditions.
River Water Quality Monitoring 1990 to 2018 - Dissolved Copper provides raw environmental data from monitoring sites across Northern Ireland's surface waters. The dataset supports the Water Framework Directive (WFD) regulatory framework, which aims to achieve 'Good Ecological Status' and 'Good Chemical Status'. It contains unprocessed measurements that require further calculation for official status assessments.
Raw water quality monitoring data from Northern Ireland's river and lake sites, collected under the European Water Framework Directive (WFD) from 1990 to 2018. The dataset includes measurements for biological, hydromorphological, and physico-chemical parameters like alkalinity, temperature, oxygenation, and nutrients. It is the first in a series of open water data releases from the Department of Agriculture, Environment and Rural Affairs (DAERA).
Northern Ireland's raw water quality data from river monitoring sites, collected under the Water Framework Directive (WFD) from 1990 to 2018. The dataset includes measurements for soluble phosphorus and other physico-chemical, biological, and hydromorphological parameters. It is the first in a series of open water data sets released by the Department of Agriculture, Environment and Rural Affairs (DAERA) and the Northern Ireland Environment Agency (NIEA).
Northern Ireland's raw water quality monitoring data from 1990 to 2018, collected under the Water Framework Directive (WFD). This dataset includes measurements from river, lake, transitional, and coastal water monitoring sites, covering biological, hydromorphological, and physico-chemical parameters. It is the first in a series of open water data sets released by the Department of Agriculture, Environment and Rural Affairs (DAERA) and the Northern Ireland Environment Agency (NIEA).
Raw data from Northern Ireland's river monitoring sites, collected under the European Water Framework Directive (2000/60/EC), spans nearly three decades from 1990 to 2018. This unprocessed dataset includes measurements for parameters like ammonia and requires caution as it lacks Limits of Detection and may contain erroneous values from sampling errors or contamination. Its release represents the first in a series of open water data sets from the Department of Agriculture, Environment and Rural Affairs (DAERA).
NASA/NOAA's Suomi NPP satellite provides daily land surface reflectance estimates across twelve spectral bands at two resolutions: three imagery bands at 500 meters and nine moderate bands at 1 kilometer. These atmospherically corrected data layers, including quality flags and observation angles, serve as foundational input for many downstream VIIRS land products. The Version 1 product was decommissioned on April 8, 2025, with users directed to Version 2 for improved calibration.
River Water Quality Monitoring 1990 to 2018 - Suspended Solids provides raw, unprocessed data from river monitoring sites in Northern Ireland, including those designated under the Water Framework Directive (WFD). The dataset likely contains measurements for biological, hydromorphological, and physico-chemical parameters, such as suspended solids, temperature, oxygenation, and nutrients. It is the first in a series of water datasets released as open data by the Department of Agriculture, Environment and Rural Affairs (DAERA) and the Northern Ireland Environment Agency (NIEA).
1990 to 2018 raw data from river monitoring sites in Northern Ireland, collected for Water Framework Directive (WFD) compliance. The dataset likely contains measurements of biochemical oxygen demand and other physico-chemical, biological, and hydromorphological parameters for assessing surface water status. It is presented as unprocessed raw data, which may include erroneous values and lacks limits of detection required for official status calculations.
Raw monitoring data for dissolved zinc from river and lake sites in Northern Ireland, collected for Water Framework Directive (WFD) compliance from 1990 to 2018. The dataset likely contains measurements of physico-chemical, biological, and hydromorphological parameters used to assess ecological and chemical status. It is the first in a series of water data sets released as open data by the Department of Agriculture, Environment and Rural Affairs (DAERA).
May to June 2012 observations from the NSF/NCAR GV-HIAPER and NASA DC-8 aircraft over northeastern Colorado, west Texas to central Oklahoma, and northern Alabama. This dataset contains in-situ measurements of cloud properties, aerosols, photolysis rates, and meteorology from the Deep Convective Clouds and Chemistry (DC3) field campaign. The campaign aimed to understand storm dynamics, lightning-produced nitrogen oxides, and the impact of deep convection on upper tropospheric chemistry.
DSCOVR_EPIC_L2_TO3_v03 provides global total ozone column measurements derived from ultraviolet channels on the Deep Space Climate Observatory's EPIC instrument. The version 3 algorithm incorporates improved calibration, cloud height data, and ozone profile corrections to generate science-quality products consistent with other satellite instruments. These data enable the creation of synoptic ozone maps every 1-2 hours over the sunlit Earth and also report scene reflectivity and surface UV Erythemal radiation.
Global land areas, excluding Antarctica, are covered by this gridded dataset of 30-year mean monthly surface climate variables for the period 1901-1960. It provides seven variables at 0.5-degree resolution, including precipitation, mean temperature, and ground-frost frequency. The data was constructed using an anomaly technique relative to a 1961-1990 normal period derived from station measurements.
Global land areas, excluding Antarctica, are covered by this gridded dataset of 10-year mean monthly surface climate variables for the period 1901-1990. It provides seven variables at 0.5-degree resolution: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. The data was constructed using an anomaly approach relative to the 1961-1990 normal period, combining station data from the Climatic Research Unit and the Global Historic Climatology Network.
New et al.'s dataset provides mean monthly surface climate data over global land areas, excluding Antarctica, for nearly all of the twentieth century. The data is gridded at 0.5-degree resolution and includes seven variables: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. It was constructed using an anomaly approach relative to a 1961-1990 normal period, combining station data from the Climatic Research Unit and the Global Historic Climatology Network.
NASA's LBA Regional Mean Climatology dataset is a 0.5-degree resolution subset of the Cramer and Leemans (2001, Version 2.1) global database, covering the Amazon region from 10° N to 25° S and 30° to 85° W. It provides long-term monthly averages for the period 1931-1960, including mean temperature, temperature range, precipitation, rain days, and sunshine hours. This data was generated using a partial thin-plate splining algorithm and was a key input for the International Geosphere-Biosphere Programme's Net Primary Productivity model intercomparison.
2000-2005 eddy covariance and micrometeorological measurements from a pasture site near Santarem, Para, Brazil. The dataset contains turbulent fluxes of momentum, heat, water vapor, and CO2, plus profiles of CO2, air temperature, humidity, wind, radiation, and soil properties across five annual CSV files. Collected by NASA's LBA-ECO project, it documents a land-use transition from pasture to upland rice cultivation in November 2001.