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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,040 datasets
Fit-Chips gene expression data from a controlled multi-stressor challenge on juvenile sockeye salmon. Fish were exposed to a full factorial design of three temperatures, three salinities, and two dissolved oxygen levels over six days, across smolt and de-smolt stages. Random Forest classifiers developed from the data achieved predictive accuracy between 85.5% and 100% for detecting thermal, hypoxic, and salinity stress signatures.
VEMAP Phase 2 provides gridded monthly climate scenarios for Alaska at 0.5-degree resolution. The dataset includes historical estimates from 1922-1996 and future projections from 1997-2100. This work was developed by the Vegetation/Ecosystem Modeling and Analysis Project and is distributed by NASA.
Cumulative Effects Program remote camera detections for the Clear Creek monitoring project, with data presented from July/August/September 2024 to September 2025. The project is a collaboration between the First Nation of Na-Cho Nyäk Dun and the Government of Yukon Department of Environment, with support from Tr’ondëk Hwëch’in. It was funded by the Government of Canada through the Department of Environment and Climate Change and the Canada-Yukon Nature Agreement.
Palermo, Italy, is the location for a dataset of continuous, high-frequency atmospheric measurements. It contains 5-minute interval records of CO2 concentration, δ13C-CO2, and δ18O-CO2 from November 2023 to September 2025, alongside meteorological variables. The data was collected by Roberto M. R. Di Martino at the ACO-Pa1 station to evaluate anthropogenic emissions and biospheric processes.
5.9 MB of data from a study comparing upland and lowland Dahurian larch forests at the southern edge of the Eurasian permafrost zone. The dataset includes tree and soil nutrient concentrations, stoichiometric ratios, and functional traits, authored by Qiyue Fu and last updated on 2026-05-27. It was published under a CC-BY-4.0 license on figshare.
Eddy covariance measurements from the Hoh Xil alpine steppe provide half-hourly data on ecosystem productivity, air temperature, and soil conditions. The dataset covers a three-year period from 2022 to 2024 and has been processed using internationally accepted standard methods. Author Linfeng Zhang published the 4.9 MB dataset under a CC-BY-4.0 license on figshare.
Global land area risk projections for Chikungunya virus (CHIKV) under 16 future climate scenarios. The dataset was created by Qianqian Zhang using ensemble species distribution models for the Aedes aegypti and Aedes albopictus mosquito vectors and the virus itself, with results published on figshare in 2026. It currently identifies 21.26% of global land area across 139 countries as at risk, with projections extending to the year 2100.
Ensemble species distribution model projections for Chikungunya virus (CHIKV) and its Aedes mosquito vectors under 16 future climate scenarios. The dataset includes risk maps for 139 countries, covering 21.26% of global land area, and was created by Qianqian Zhang using hierarchical ensemble modeling in Biomod2. It was last updated on 2026-05-27.
A dataset from an open-pit mine contains 21,034 labelled event-level waveform records across five classes: microseismic, blasting, small landslide, mechanical mining, and transport vehicles. It also includes one day of raw miniSEED observational records, station metadata, and data logs. The static release was authored by 1 1 and last updated on 2026-05-19.
1017660 people were impacted within 50km of a magnitude 5.6 earthquake that occurred on September 04, 2025, 3km NW of Kama, Afghanistan. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial and socio-economic information collected following the sudden onset emergency. It was last updated on May 21, 2026.
A geospatial dataset documents a magnitude 5.6 earthquake near Lospalos, Timor Leste, on October 1, 2025. It was created by the WFP’s Automated Disaster Analysis and Mapping (ADAM) system for humanitarian emergency response. The dataset includes the epicenter coordinates and indicates 3,940 people were impacted within a 50km radius.
A geospatial dataset documents a magnitude 5.9 earthquake that occurred east of Ozernovskiy, Russia, on September 19, 2025. The data, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, includes the epicenter coordinates, depth, and an impact assessment of 74 people within 50km. It was last updated on May 21, 2026.
A magnitude 5.5 earthquake impacted 210 people within 50km of its epicenter east of Petropavlovsk-Kamchatsky on September 29, 2025. The dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian response. It was last updated on May 21, 2026.
India was impacted by a magnitude 5.9 earthquake on September 14, 2025. The dataset, created by the WFP's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial and impact analysis for the event, including an estimated 1,839,955 people within 50km of the epicenter. It was last updated on May 21, 2026.
A magnitude 5.4 earthquake occurred on September 05, 2025, 34km NW of Ayangue, Ecuador, impacting an estimated 346,460 people within 50km. The dataset is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian response. It was last updated on May 21, 2026.
A magnitude 6.1 earthquake impacted an estimated 91,563 people near Nabire, Indonesia on September 18, 2025. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, provides geospatial and socio-economic information for this sudden-onset emergency. It was last updated in May 2026 and is available in GeoJSON and CSV formats.
244,499 people were impacted within 50km of a magnitude 5.8 earthquake northwest of Sabana Grande, Venezuela, on September 25, 2025. The dataset, produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system, contains geospatial and socio-economic information collected following the sudden-onset emergency. It was last updated on May 21, 2026.
Geospatial data from the WFP Automated Disaster Analysis and Mapping (ADAM) system details a magnitude 6.0 earthquake near Gayam, Indonesia on September 30, 2025. The dataset includes the epicenter coordinates, depth, and estimates that 516,938 people were impacted within a 50km radius. It was last updated on May 21, 2026.
Colombia earthquake data from the Automated Disaster Analysis and Mapping (ADAM) system operated by the World Food Programme (WFP). The dataset describes a magnitude 5.4 earthquake that occurred on September 14, 2025, 12km southeast of Dabeiba, impacting an estimated 78,452 people within a 50km radius. It was last updated on May 21, 2026.
A magnitude 5.5 earthquake occurred on September 23, 2025, 44km SW of San Juan De Marcona, Peru. The dataset, produced by the WFP's Automated Disaster Analysis and Mapping (ADAM) system, includes the epicenter location at latitude -15.7448, longitude -75.2904, a depth of 8.981 km, and an estimated impact on 7349 people within a 50km radius. It was last updated on May 21, 2026.