Loading...
Loading...
Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,887 datasets
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.
Geoscience Australia's collection comprises organic geochemistry, petrology, and stable isotope data for source rocks, crude oils, and natural gases from onshore and offshore Australian sedimentary basins. The data are produced from samples submitted by industry under legislative requirements and collected by research projects, compiled from service company reports, well completions reports, government reports, and published papers. The collection is non-confidential and available for use by government, industry, and researchers.
Soil Sensor Locations is a dataset from City of Melbourne Open Data containing the deployment sites of soil sensors across the city. The dataset likely contains geospatial coordinates or addresses for sensors that measure salinity, temperature, and moisture. It was last updated on 2026-06-28 and is licensed under CC-BY-4.0.
Soil CO2 flux measurements and physical-chemical soil characterizations were collected monthly from 16 sites near Rio Branco, Acre, Brazil. The data cover pastures, secondary forests, and mature forests from June 1999 to January 2001, with litter mass collection extending into 2002. This dataset supports analysis of land-use impacts on soil respiration and carbon dynamics in the Amazon.
A 2026 data inventory from the Australian Ocean Data Network catalogs information on the Wedge-Tailed Eagle in relation to the Gippsland offshore renewable energy declaration area. The inventory was created as part of a rapid exploration project for 15 priority species identified by Australian environmental and offshore petroleum authorities. It focuses on identifying and evaluating the accessibility and utility of datasets for regulatory assessments.
Geoscience Australia's collaborative programs deliver precompetitive geoscience data on Australia's natural resources. The Resourcing Australia's Prosperity initiative aims to comprehensively map the nation's resources and accelerate critical mineral discovery. This work supports the energy transition by providing trusted scientific evidence for renewable energy technologies.
635.1 KB of simulation results supporting a research framework for IoT-enabled smart grid monitoring. The dataset includes performance metrics, waveform results, and security evaluations used to validate a system integrating renewable energy, power conversion, and secure communication. It was authored by Jegadeeswari G and last updated on June 1, 2026.
A study compares the geochemical characteristics of four Australian petroleum systems ranging from the Ordovician to Early Cretaceous. The source rocks were deposited in marine environments with varying contributions of terrestrial organic matter. The data is provided by the Australian Ocean Data Network and was last updated on 2026-06-04.
Dry gas in Queensland's Gilmore Field originates from both wet gas associated with oil generation and a deep, overmature source with high nitrogen content. The study uses a molecular and multi-element isotopic approach to characterize these sources, identifying Devonian marine organic matter as the origin for the oil. This research, published in The APPEA Journal in 1998, suggests the deep gas source may be a more widespread play concept in Australian sedimentary basins.
Geoscience Australia compiles biophysical seabed data as a proxy for biodiversity in Australia's Exclusive Economic Zone. The dataset includes bathymetry, geomorphology, acoustic properties, sediment properties, slope, and sediment mobilisation layers, integrated into 'seascape' maps. This information supports the implementation of the EPBC Act 1999 and the design of a national marine protected area system.
96 individual specimens of waxy bitumen were collected from beaches in South Australia and western Victoria and analyzed geochemically. The study, published via the Australian Ocean Data Network, identifies at least five distinct oil families with inferred origins in Southeast Asian sedimentary basins. The data was last updated on 2026-06-04.
A study of diagnostic biomarker hydrocarbons derived from carotenoid pigments in crude oils and source rocks from the Paleozoic Canning Basin. The data was implemented by GeoMark Research and builds upon earlier work published by Edwards et al. (2013) and Spaak et al. (2017, 2018). It focuses on Ordovician-, Middle to Late Devonian-, and Early Carboniferous-sourced oils to clarify paleo-depositional environments and water stratification.
61 rice fields across three regions of Thailand were sampled for the soil bacterium Burkholderia pseudomallei and 22 soil physicochemical properties. Data includes culture results, soil texture, nutrient levels, and GPS coordinates collected during the dry seasons of 2013, 2014, and 2015. The study was conducted by Virya Hantrakun with ethical approvals from Mahidol University and the University of Oxford.
A qualitative study analyzes the impacts of outsourcing on labor precariousness and worker safety in the electricity distribution industry. The research by Maria Elizabeth Antunes Lima involved documentary research, in-depth interviews, and analysis of a fatal accident case. Results indicate that outsourcing increases the risk of serious occupational accidents and deepens inequalities between outsourced and directly employed workers.
Feng Tao's research data underpins a Nature article demonstrating how microbial carbon use efficiency is a key driver of global soil carbon storage. The dataset likely contains measurements related to soil properties, microbial activity, and carbon fluxes across diverse ecosystems. It supports the investigation of a critical but previously underrepresented mechanism in Earth system models.
Data supporting a Magnetic Resonance in Medicine article on radiofrequency coil design for parallel imaging. The data are organized according to the figures in the published paper and include GE MR raw files and processed human data in mat-files. The dataset was created by Juan Diego Sánchez at the Technical University of Denmark.