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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,125 datasets
A 1987 joint study by the Bureau of Mineral Resources and the South Australian Department of Mines and Energy rekindled exploration interest in the region. This folio presents interpreted seismic data and geological assessments for multiple offshore basins. The principal product integrates multichannel seismic surveys with sampling and heatflow work from the RfV Rig Seismic vessel.
Subsidence and thermal history analysis of 31 wells and 25 depocentre sites examines Jurassic and Early Cretaceous petroleum systems in the Browse Basin. The models incorporate new palaeo-bathymetric estimates and kerogen kinetic data to assess generation and expulsion history. This work was published by the Australian Ocean Data Network and the record was last updated in April 2026.
Preliminary geophysical results from the R.V. Sonne cruise survey the Lord Howe Rise, a 2000 km long submarine plateau in the Tasman Sea. The Australian Ocean Data Network published this analysis of sediment basins, seismic profiles, and petroleum potential. The dataset includes interpretations of Late Cretaceous to Paleocene geological structures.
A Data Management and Sharing Plan outlines the scientific data for a project assessing the comprehensive health impact of the natural gas supply chain. The plan describes data to be generated and used, and details a strategy for managing and sharing project data. It was authored by Sarav Arunachalam and last updated in June 2026.
Interpretation of deep seismic reflection profiles and petroleum systems maturation modelling for three Australian onshore sedimentary basins. The project was conducted by Geoscience Australia under the five-year Onshore Energy Security Program from 2006 to 2011. Data includes basin architecture details, such as thickness up to 3800 meters, and assessments of source rock maturity for hydrocarbon generation.
A detailed report documents the drilling, logging, and stratigraphic results from the Southwest Bairnsdale No. 1 exploration well in the Gippsland Basin, Victoria. The well was drilled to a depth of 3926 feet over a period from January 8 to February 14, 1963, by contractors for Woodside (Lakes Entrance) Oil Company N.L. and Arco Limited. It achieved its primary objectives of gathering stratigraphic data and testing for hydrocarbons, though it was ultimately plugged and abandoned as a dry hole.
Historical value data for mineral, petroleum, and natural gas shipments from British Columbia between 1991 and 2010. The dataset is a tabular presentation compiled from Natural Resources Canada and the Ministry of Energy and Mines. It was last updated on 2026-04-17.
Operating capacity data used by the Government of Alberta for the Oil Sands Environmental Monitoring Program Regulation. The dataset is published by the Government of Alberta on the open_canada platform and was last updated on 2026-04-17. It is available in XLSX and HTML formats under the OGL-CA-2.0 license.
Government of Alberta provides reference code facility information for natural gas transportation regions. The data includes plan class and type codes for industry. It was last updated on April 17, 2026.
Alberta oil and gas sites with closure work funded through the Site Rehabilitation Program. The dataset is provided by the Government of Alberta and was last updated on April 17, 2026. It is available in XLSX and HTML formats under the OGL-CA-2.0 license.
Annual conventional and non-conventional oil production data, including unprocessed bitumen and synthetic oil, reported at the municipal district level. The dataset originates from the Government of Alberta and was last updated on April 17, —. Platform tags indicate it is tabular and geospatial in nature.
A dataset of physical and mechanical parameters for experimental soils, authored by Chi Li. The data is stored in an XLS file sized 5.5 KB and was last updated on April 30, 2026. The specific geographic scope and number of samples are not detailed in the provided metadata.
Dataset kdd_coil_5 from the OpenML platform. No descriptive metadata, column definitions, sample data, or size information is available.
604.4 KB of data on saline soil management explores its co-benefits for achieving Sustainable Development Goals. Wen Wen authored this dataset, which was last updated on April 27, 2026. The dataset includes PDF and XLSX files, suggesting a mix of documentation and structured data.
Bangkok, Thailand toilet waste samples from low-, middle-, and high-income areas were analyzed for antimicrobial resistance genes. The study includes 27 samples collected during March–April 2023, with metagenomic sequencing data mapped to resistance gene and bacterial taxonomy databases. It was authored by Narong Nuanmuang and highlights differences in resistance gene abundance across socioeconomic groups.
Bangkok, Thailand, provides a setting for a study comparing antimicrobial resistance gene abundance in toilet waste across low-, middle-, and high-income areas. The analysis is based on 27 metagenomic samples collected from nine sites during March–April 2023, measuring resistance gene abundance in fragments per kilobase per million mapped reads (FPKM). The work by Narong Nuanmuang highlights higher resistance gene levels in low-income groups and serves as a tool for city-level AMR surveillance.
Twenty-seven toilet waste samples were collected from nine sites in low-, middle-, and high-income areas of Bangkok, Thailand during March–April 2023. The metagenomic sequencing data were analyzed for antimicrobial, metal, and disinfectant resistance gene abundance, measured in fragments per kilobase per million mapped reads (FPKM).
Twenty-seven toilet waste samples were collected from nine sites across low-, middle-, and high-income areas in Bangkok during March–April 2023. The dataset contains metagenomic sequencing results mapped to resistance gene databases, reporting abundance in fragments per kilobase per million mapped reads (FPKM). It was created by Narong Nuanmuang to explore associations between income levels and antimicrobial resistance.
Narong Nuanmuang's study analyzes the comparative resistome from 27 toilet waste samples collected in March–April 2023 across low-, middle-, and high-income areas of Bangkok, Thailand. The metagenomic sequencing data was mapped to resistance gene databases, measuring abundance in fragments per kilobase per million mapped reads (FPKM). It highlights higher abundances of antibiotic, metal, and disinfectant resistance genes in low-income groups.
27 toilet waste samples from nine low-, middle-, and high-income sites in Bangkok were collected in March–April 2023 and analyzed via metagenomic sequencing. The study maps sequences to resistance gene databases, reporting abundance in fragments per kilobase per million mapped reads (FPKM). Narong Nuanmuang authored this 2026 public health dataset to explore associations between socioeconomic factors and antimicrobial resistance.