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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,042 datasets
A magnitude 5.7 earthquake occurred 107km east of Petropavlovsk-Kamchatsky on August 15, 2025. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, provides the epicenter coordinates and indicates 183 people were impacted within a 50km radius.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides data on a magnitude 6.3 earthquake that occurred in Indonesia on July 23, 2025. The dataset includes the epicenter location, depth, and an estimate of 104,635 people impacted within a 50km radius. It was last updated on May 21, 2026.
Afghanistan was impacted by a magnitude 6.0 earthquake on August 31, 2025, with an epicenter 11km southwest of Nurgal. The dataset, produced by the WFP's Automated Disaster Analysis and Mapping (ADAM) system, estimates 1,422,825 people were within 50km of the epicenter. It provides geospatial and socio-economic information for analysis following this sudden-onset emergency.
Indonesia is the geographic scope of this dataset documenting a magnitude 5.5 earthquake that occurred on July 23, 2025, 25km northwest of Bula. It likely contains geospatial and socio-economic impact information for approximately 66,600 people within a 50km radius of the epicenter. The data was produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for humanitarian emergency response.
A magnitude 5.8 earthquake occurred 54km SE of Sinabang, Indonesia on August 23, 2025. The dataset, produced by WFP's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial information on the event, including its epicenter coordinates and an estimated impact on 13,823 people within a 50km radius. It was last updated on May 21, 2026.
Peru experienced a magnitude 5.4 earthquake on July 06, 2025, with an epicenter 27km SE of Santa Maria De Cahuapanas. The dataset, produced by the WFP's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial and socio-economic information for the event. It indicates the earthquake impacted an estimated 26,949 people within a 50km radius.
WFP’s Automated Disaster Analysis and Mapping (ADAM) system provides data on a magnitude 5.5 earthquake that occurred 81 km ENE of Severo-Kuril’sk, Russia on August 23, 2025. The dataset includes the epicenter coordinates, depth, and an impact estimate of 92 people within 50km. It was last updated by the system on May 21, 2026.
A geospatial dataset from the WFP's ADAM system details a magnitude 5.5 earthquake near Calayan, Philippines, on July 20, 2025. It includes the epicenter coordinates, depth, and an estimate of 9,954 people impacted within a 50km radius. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping system.
A geospatial dataset from the WFP's Automated Disaster Analysis and Mapping (ADAM) system details a magnitude 5.5 earthquake near Santa Ana Island on June 24, 2025. The data includes the epicenter coordinates, depth, and an estimate of 4,960 people impacted within a 50km radius. It was last updated by the system on May 21, 2026.
A geospatial dataset from the World Food Programme's ADAM system details the impact of a magnitude 5.4 earthquake in Guatemala on July 29, 2025. The data includes the epicenter location, depth, and estimates that 1,082,339 people were impacted within a 50km radius. This dataset was last updated on May 21, 2026.
A magnitude 6.8 earthquake occurred 118 km east of Severo-Kuril'sk, Russia on August 03, 2025. The data is provided by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for humanitarian emergency response. It includes the event's epicenter coordinates, depth, and an initial impact assessment indicating zero people were impacted within a 50km radius.
CanLaBS v2 is a Canada-wide geospatial product mapping wildfire burn severity at 30-meter resolution. The dataset is produced by Natural Resources Canada and provides annual coverage from 1985 to 2024. It is an updated version incorporating Landsat Collection 2 data and an expanded fire perimeter record.
Over 550,000 global reservoirs larger than 0.001 km² are documented in this spatial database. It includes the GREI_v1 inventory with core attributes like surface area and storage capacity, and the GREI_Sed_v1 database providing high-resolution sedimentation rate estimates. The dataset was created by Kai Liu and last updated on 2026-06-03.
Global data provides the three model weighting parameters (isotropic, volumetric, and geometric) used to derive albedo and bidirectional reflectance distribution function (BRDF) products. It is produced daily using 16 days of Terra and Aqua MODIS data at a 0.05-degree (5,600-meter) Climate Modeling Grid (CMG) resolution. The dataset includes 30 parameter layers for MODIS spectral bands 1-7 and broad spectral bands, plus ancillary layers for quality, local solar noon, snow cover, and uncertainty.
Global data provides near-surface meteorological variables, surface fluxes, and land surface state variables at a 1-degree latitude/longitude resolution. The dataset, derived from the NCEP/DOE AMIP-II reanalysis, covers the period from 1986 to 1995 and includes four temporal categories: time-invariant fields, monthly means, monthly 3-hourly diurnal cycles, and 3-hourly fields. Its primary purpose is the validation of General Circulation Models (GCMs).
A network of 38 rain gauges near the Tapajos-Amazon confluence reveals that near-river stations miss afternoon convective rain but gain more nocturnal rainfall, compensating for the deficit. The Amazon River breeze, parallel to the mean flow, has a stronger influence on rainfall patterns than the Tapajos breeze, which extends only a few kilometers inland. This dataset compares ground observations with 0.25-degree CMORPH satellite data, highlighting localized effects unresolved by the coarser satellite product.
117 globally-distributed forest sites provide a foundational record of net primary productivity, vegetation, soils, and climate from the mid-1950s to early 1970s. Compiled from the International Biological Programme, this dataset's 5,887 records facilitate cross-biome comparisons of woodland ecosystems. Data were originally assembled at Oak Ridge National Laboratory and remain a key historical baseline for ecological studies.
San Eusebio, Venezuela, hosts this dataset of net primary production (NPP) and climate measurements from a tropical montane forest. It contains biomass, litterfall, and nutrient content data collected from 13 plots in 1973-1974, alongside long-term climate data from a nearby station. The data provides a minimum estimate of total NPP (1,497 g/m2/year) and details on nutrient stores within the forest ecosystem.
ISCCP_B3_NAT provides original satellite radiance data sampled to a 30 km spatial and 3-hour temporal resolution. The dataset, established in 1982 by the World Climate Research Program, offers a globally uniform, calibrated set of measurements from up to five geostationary and two polar-orbiting satellites. It supports detailed studies of cloud processes, the Earth's radiation budget, and the hydrological cycle across phases from 1983 onward.
Records from 1994 onward inform a predicted current distribution model for the critically endangered Darling River Snail. The dataset was produced by the NSW Department of Primary Industries using the MaxEnt 3.3.3 species distribution model and environmental data from the Australian Hydrological Geospatial Fabric V2 and River Styles®. It is provided by the Department of Primary Industries and Regional Development (DPIRD) and was last updated in May 2026.