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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,094 datasets
Eight groundwater samples from boreholes at Haramaya University were analyzed for hardness-causing parameters. Concentrations of Ca2+, Mg2+, HCO3, Cl-, and SO42- were measured, with total hardness exceeding 300 mg/L CaCO3. The dataset, created by Nagara Wakgari Futasa and last updated in June 2026, includes indices like LSI, AI, LS, and RSI to evaluate scaling and corrosion potential.
Eight borehole samples from Haramaya University in Ethiopia were analyzed for hardness-causing parameters. The dataset contains a weighted normalized decision matrix used with the TOPSIS method to select Reverse Osmosis as the ideal centralized softening technology. It was authored by Nagara Wakgari Futasa and last updated on June 2, 2026.
A 2026 study by Nagara Wakgari Futasa characterizes groundwater hardness from eight boreholes at Haramaya University in Ethiopia. The dataset includes concentrations of calcium, magnesium, bicarbonate, chloride, and sulfate, along with indices for scaling and corrosion potential. It applies the TOPSIS method to evaluate and select Reverse Osmosis as the ideal centralized softening technology.
Experimental data from large-scale model tests investigating microbially induced carbonate precipitation (MICP) for soil improvement. The dataset likely contains measurements of calcium carbonate content, unconfined compressive strength, penetration resistance, and microscopic characteristics for biotreated sand columns. Chunyan Wang published the data on figshare in May 2026.
Experimental data from a study investigating grouting pipe configuration effects on large-scale biotreated sand columns. The dataset likely contains measurements of calcium carbonate content, unconfined compressive strength, penetration resistance, and microscopic characteristics. It was authored by Chunyan Wang and uploaded to figshare in May 2026.
Greater Sydney stochastic climate data includes 10,000 replicates of 130-year daily rainfall and potential evapotranspiration datasets. This work was undertaken by researchers at the University of Newcastle and used in modelling for the Greater Sydney Water Strategy. The data covers specific Silo Station IDs, including HOWES VALLEY (KINDARUN) and WISEMANS FERRY (OLD PO).
eReefs GBR4 Hydrodynamics v4.0 provides results from a 4km-resolution regional-scale hydrodynamic model of the Great Barrier Reef. The model is forced with atmospheric data from BARRA, ocean boundaries from BRAN2020, the global TPXO tide model, and river data from 64 catchment models. This hindcast simulation, complete and named GBR4_H4p0_ABARRAr2_OBRAN2020_FG2Gv3_Dhnd, succeeded the GBR4_H2p0 model as the best available for its timespan.
Primary Data Collection on Accessible Climate-Disaster Preparedness in the United States was created by Abigail Block. The dataset catalogs brochures, videos, PDFs, and web content from U.S. state emergency management agencies and the federal Ready.gov site. Data was collected between January 15th and February 3rd, 2025, focusing on communications that use plain language or actionable images.
14.2 MB of research documents analyze shifts in the seasonal timing of floods worldwide. Authored by Sixiang Wang and last updated in May 2026, the dataset uses an attribution model integrating partial least squares regression with partial differential equations to identify primary drivers of these shifts.
Palaeo stochastic climate data from the NSW Department of Climate Change, Energy, the Environment and Water includes 10,000 replicates of 130-year daily rainfall and potential evapotranspiration datasets. This work was undertaken by researchers at the University of Newcastle for the Greater Sydney Water Strategy. The data asset covers specific Silo stations in the Greater Sydney region, such as Richmond - UWS Hawkesbury and West Pennant Hills.
Four years of hourly ammonia (NH₃) concentration data from 10 monitoring sites across Quzhou County on the North China Plain. Wen Xu created this dataset, which uses XGBoost for imputation to address missing values from instrumental interruptions. The reconstructed data reveals a peak annual mean of 36.9 ppb in 2022-2023 and a persistent north-south concentration gradient.
28 hydrological indicators project river flow amplitude and direction for southern Quebec under RCP4.5 and RCP8.5 climate scenarios. The archived 2018 version from the Government of Quebec includes geospatial river sections and CSV tables with projected flow values and uncertainty for historical and future periods. Data is provided under a CC-BY-4.0 license.
BMR Cruise 107 data from the Australian Ocean Data Network describes seabed morphology and non-living resources around Christmas Island in the Indian Ocean. The dataset was collected in January 1992 using the RV Rig Seismic vessel. It includes information on the island's geology, bathymetry, and phosphate deposits.
10,000 replicates of 130-year daily rainfall and potential evapotranspiration data generated from observed climate records. This stochastic dataset was created by researchers at the University of Newcastle for the Greater Sydney Water Strategy. It covers specific SILO station locations such as Yerrinbool, Camden Airport, and Jamberoo.
Southern Quebec's 2022 Hydroclimatic Atlas models current and future water regimes to support climate-resilient water management. The dataset includes 24,604 river sections with attributes and 76 hydrological indicators for historical and future climate scenarios. It is published by the Government and Municipalities of Québec under a CC-BY-4.0 license.
Stochastic climate data from the University of Newcastle includes 10,000 replicates of 130-year daily datasets for rainfall and potential evapotranspiration. This work was used in modelling for the Greater Sydney Water Strategy and is provided by the NSW Department of Climate Change, Energy, the Environment and Water. The data was last updated on 2026-05-13.
The 'Water Modelling-Stochastic Climate Data-Greater Sydney-Silo Station (iii of xi)' dataset contains 10,000 replicates of 130-year daily rainfall and potential evapotranspiration data. Researchers at the University of Newcastle generated this stochastic climate data using observed data sets for modelling in the Greater Sydney Water Strategy. The data was last updated on 2026-05-13 by the NSW Department of Climate Change, Energy, the Environment and Water.
10,000 replicates of 130-year daily rainfall and potential evapotranspiration data for the Greater Sydney region, generated using observed and palaeoclimate data. This work was undertaken by researchers at the University of Newcastle for the Greater Sydney Water Strategy. The dataset includes data for nine specific Silo Station IDs, such as Dapto Bowling Club and Robertson (Caalong Street).
10,000 replicates of 130-year daily rainfall and potential evapotranspiration data for the Greater Sydney region. This stochastic climate data was generated by researchers at the University of Newcastle using observed data sets with and without combined climate data. It was used in modelling for the Greater Sydney Water Strategy.
Hubei Province, China, is the geographic scope for this dataset. It contains measurements of six redox markers from 330 healthy volunteers during spring and summer seasons. The data was published by Hong Zhou on figshare in 2026 under a CC-BY-4.0 license.