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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,887 datasets
A research dataset from the University of Leeds describes a strategy for assembling proteins into complex structures. The work focuses on the pentameric cholera toxin B-subunit (CTB) and uses appended coiled-coil domains to create tubular supramolecular complexes. The structural analysis was performed using X-ray crystallography.
Modeled estimates of soil accretion for the Atchafalaya and Terrebonne basins in the Mississippi River Delta of coastal Louisiana. The dataset was generated by NASA using the Numerical Understanding of Marsh Accretion Resilience (NUMAR) model, a process-based adaptation of the NUMAN model for marsh environments. Predictions cover an 80-year period from 2021 to 2100.
Since 1963, three economic and fourteen uneconomic petroleum accumulations have been discovered in the Amadeus Basin of central Australia. The report details estimated resources, production figures, and pipeline infrastructure as of 31 December 1985. This dataset is provided by the Australian Ocean Data Network.
Australian Ocean Data Network hosts a publication reassessing the petroleum potential of Australia's onshore Lower Paleozoic and Proterozoic basins. The text discusses exploration trends from 2010-2012, specific oil-producing basins like the Amadeus since 1984, and geological challenges such as the Alice Springs Orogeny. It considers the application of new technologies like horizontal drilling to develop resources in these systems.
Data Sheet 1_Combined associations of tea consumption and smoking with accelerated biological aging among oilfield workers.pdf contains results from a study examining the individual and combined effects of tea consumption and cigarette smoking on accelerated biological aging, measured via the PhenoAge algorithm. The study, authored by Bowei Yang and published on figshare in June 2026, used logistic regression and interaction analyses on a cohort of oilfield workers, reporting odds ratios and confidence intervals. The dataset likely contains tabular data summarizing these statistical associations.
Seventy-three petroleum accumulations found in Western Australia's Carnarvon Basin up to 30 June 1992. The report, sourced from the Australian Ocean Data Network, details their geological context, trapping mechanisms, and associated production infrastructure. Most accumulations are offshore in Triassic to Cretaceous rocks within sub-basins like Barrow, Dampier, and Exmouth.
Mount Salt No. 1 Well was drilled in the Otway Basin, South Australia, to a depth of 10,044 feet between May and September 1962. The well targeted Cretaceous sediments for petroleum potential, recording traces of crude oil and a gas show. Drilling was subsidized under the Petroleum Search Subsidy Act 1959-1961 and included a full program of logging, testing, and coring.
Research cruise data from 1989 measures light hydrocarbon gas concentrations and molecular compositions in the water column over offshore sedimentary basins. The survey, conducted by the Australian Bureau of Mineral Resources and Transglobal Exploration and Geoscience, targeted the Gippsland, Bass, Otway, Stansbury Basins and Torquay Sub-basin. This dataset likely contains geochemical readings intended to assess hydrocarbon source rock maturity and identify potential petroleum accumulation zones.
A 1974 regional seismic survey by Esso Australia Ltd provides the primary subsurface data for this deep-water frontier area. The Bremer Sub-basin study, initiated by Geoscience Australia in 2004, aimed to assess the geological conditions for hydrocarbon generation and trapping. No exploration wells have been drilled in the sub-basin, located in water depths of 100-4000 meters.
A detailed summary of the Geltwood Beach No. 1 Well drilled in the Otway Basin, South Australia. The well was drilled by Drilling Contractors (Australia) Pty Ltd for Beach Petroleum No Liability to a depth of 12,300 feet between August and November 1963. It contains results from a full program of logging, testing, and coring, concluding with the well being plugged and abandoned as a dry hole.
Finite Element simulations support research on bulk electrical power extraction from renewable energy zones. Data includes electromagnetic field strength and thermal performance for Gas Insulated Lines (GIL), AC, and DC cables under different installation and ventilation scenarios. The 280.7 KB collection, shared by Haoyang Fan et al., corresponds to figures in the associated 2026 article.
A 2000 study presented at the AAPG International Conference uses isotopic and biomarker analyses to characterize oil families within the Westralian Petroleum Supersystem. The research correlates oils from the Vulcan Sub-basin, Zone of Co-operation (ZOCA), and Browse Basin, identifying multiple families sourced from Jurassic and Early Cretaceous rocks. It was contributed by the Australian Ocean Data Network.
Yi-Xuan Peng's dataset documents the isolation and performance of five lipid-degrading bacterial strains for treating lipid-rich water. The data likely contains results on extracellular lipase activity, degradation efficiency for substrates like olive oil, lard, and salad oil, and COD reduction measurements. The study, last updated in 2026, includes performance metrics for single strains and ratio-guided consortia, with a maximum reported removal efficiency of 85% within 12 hours.
As of January 1993, 19 hydrocarbon accumulations, including 6 commercial ones, have been discovered in the Canning Basin. The report describes the geological formations, production methods, and exploration status of the basin, published by the Australian Ocean Data Network. Oil is produced from Famennian reefs and other structures, with recoverable reserves noted as small.
A project by the British Geological Survey aims to establish hydropyrolysis as a novel technique for oil-source correlation. The work focuses on developing new experimental protocols for analyzing biodegraded crude oils and contaminated sediment cores where conventional biomarker methods fail. This dataset likely contains molecular fingerprint data intended to facilitate accurate and rapid correlations in oil exploration and environmental characterization.
Gidgealpa No. 1 was drilled to a total depth of 13,114 feet in 1963 in South Australia. The well provided significant geological information, including the first subsurface encounter of Cambrian rocks in the Great Artesian Basin and more hydrocarbon shows in the Permian sequence than any other well in the region at the time. The data was collected by Delhi Australian Petroleum Ltd and Santos Limited and is hosted by the Australian Ocean Data Network.
Vernonia arabica essential oil contains 39.48% oxygenated sesquiterpenes, with shyobunol (9.59%) and endo-1-bourbonanol isomers (9.13% and 4.64%) as main metabolites. This is the first report on the chemical composition of the aerial parts of this species, authored by Natale Badalamenti and shared under a CC-BY-4.0 license. The data was last updated on May 23, 2026.
Geoscience Australia conducted a multi-disciplinary study integrating updated biostratigraphy, well correlations, seismic data, and paleogeographic interpretations for ten Hettangian to Maastrichtian supersequences. The analysis identified four geochemically distinct petroleum systems influenced by Jurassic–Cretaceous source pods and regional basin architecture. Results highlight shallow liquid-prone plays in the southern Caswell Sub-basin and on the basin margins.
Pre-processed frequency recordings from three synchronous areas of the European power grid: Continental Europe, Great Britain, and the Nordic region. The data is cleaned and converted into ready-to-use time series, accompanied by Python scripts for downloading and processing raw data from Transmission System Operators. This dataset supports research on grid stability, frequency prediction, and the integration of renewable energy sources.
A geospatial dataset assesses carbon storage dynamics in the lower Yalong River Basin from 1986 to 2021. It was created by Borui Wang using Landsat imagery, random forest land-use classification, and the InVEST carbon storage model. The data shows a 7.07% decline in wet season carbon storage and a 6.44% decline in the dry season over the study period.