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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,887 datasets
The Glengorm area on the Isle of Mull, Scotland, contains a dataset of stone sites and landscape features used in a prehistoric ritual monument study from the 1980s and 1990s. This dataset was created by the University of Edinburgh for a GIS-based viewshed analysis examining monument visibility. It incorporates multiple data layers including soils, coastlines, drainage, land capability, rivers, elevation, slope, and the distribution of cairns, cists, duns, forts, and stone sites.
A study from the 1980s and 1990s examined prehistoric ritual monument locations and their visibility across the Glengorm area of the Isle of Mull, Scotland. The University of Edinburgh conducted this research, which applied GIS for viewshed analysis. Datasets incorporated into the study included soils, coastlines, drainage capacity, land capability, rivers, elevation, slope, and distribution patterns of cairn, cist, duns, fort, and stone sites.
University of Edinburgh data shows the location of duns sites in the Glengorm area of the Isle of Mull. This dataset was part of a study conducted in the 1980s and 1990s examining prehistoric ritual monument locations and their visibility across the landscape. The study incorporated multiple datasets for GIS-based viewshed analysis.
University of Edinburgh provides a river dataset for the Glengorm area on the Isle of Mull, Scotland. This data was part of a study conducted in the 1980s and 1990s examining prehistoric ritual monument locations and their visibility. The study incorporated multiple GIS datasets for viewshed analysis, including soils, coastlines, elevation, and archaeological site distributions.
University of Edinburgh provides a coastline dataset delineating the coast in the Glengorm area of the Isle of Mull, Scotland. This data was part of a study conducted in the 1980s and 1990s examining prehistoric ritual monument locations and their visibility across the landscape. The study incorporated multiple datasets including soils, drainage, land capability, rivers, elevation, and slope for GIS-based viewshed analysis.
University of Edinburgh researchers created a dataset of third order and higher rivers in the Glengorm area of the Isle of Mull, Scotland. This data was part of a study conducted in the 1980s and 1990s examining prehistoric ritual monument locations and their visibility across the landscape. The study incorporated GIS for viewshed analysis alongside other datasets like soils, elevation, and archaeological site distributions.
A study from the 1980s and 1990s examined prehistoric ritual monument locations and their visibility across the Glengorm area of the Isle of Mull, Scotland. The dataset shows the location of forts and was used with GIS for viewshed analysis. The study incorporated other datasets including soils, coastlines, drainage capacity, land capability, rivers, elevation, slope, and distribution patterns of various archaeological sites.
Cairn locations from a 1980s-1990s study examining prehistoric ritual monument visibility on the Isle of Mull. The dataset was part of a GIS-based viewshed analysis project incorporating soils, drainage, elevation, and other landscape features. The University of Edinburgh was involved in the study.
University of Edinburgh researchers created this Drainage Capacity of Soils dataset for the Glengorm area on the Isle of Mull. It was part of a study in the 1980s and 1990s examining prehistoric ritual monument locations and their visibility across the landscape using GIS viewshed analysis. The study incorporated multiple datasets including soils, coastlines, elevation, and archaeological site distributions.
Maps describing trends of soil quality indicators and the impact of key drivers of soil condition change, such as Climate Change, Land Disturbance, and Bushfires. The dataset includes DSM models and Data Cube models built using machine learning techniques, commissioned by the Forest Monitoring Steering Committee. It was initially published on 14/06/2022.
A 2026 dataset from the Australian Ocean Data Network redefines the petroleum systems of Australia's Browse Basin. It collates molecular, isotopic, and biomarker data for wet gases and crude oils to model four distinct petroleum systems. The data supports analysis of major gas accumulations like Ichthys, estimated to hold 12.8 trillion cubic feet of gas.
A multidisciplinary study by the BGS petroleum geoscience team, created for the 21st Century Exploration Roadmap (21CXRM) and published in March 2017. The project evaluated overlooked petroleum potential in Carboniferous and Devonian systems on the UK Continental Shelf, incorporating onshore data. Results include seismic, well, and gravity interpretations, burial/uplift/maturity modelling, source rock geochemistry, and palaeographic reconstructions.
Oil Development N.L. drilled the O.D.N.L. Penola No. 1 Well to a total depth of 4985 feet between February 7 and May 5, 1961. The operation provided for a programme of electric and mud logging, testing and coring to test the petroleum potentialities of the Coonawarra subsurface structure. Minor showings of gas were encountered, but no signs of live oil were observed, and the well was abandoned as a dry hole.
A 1998 study published in The APPEA Journal details the geochemical origins of hydrocarbons in Queensland's Gilmore Field. Dry gas is sourced from both wet gas associated with oil generation and a deep, overmature source with high nitrogen content. The research identifies specific Devonian source rocks and suggests this overmature gas play concept may be more widespread in Australian basins.
The Canning Basin in Australia is a large frontier petroleum province. This dataset contains diagnostic biomarker hydrocarbons derived from carotenoid pigments, analyzed from crude oils and source rocks to reconstruct paleo-depositional environments. The study extends prior geochemical work on Ordovician-, Devonian-, and Carboniferous-sourced oils, implemented by GeoMark Research.
A global horizon scan by 35 experts identified the top ten research needs for decommissioning offshore oil and gas structures. The dataset, from the NESP MaC 1.19 project, contains 257 collated research questions categorized into five disciplinary areas. It was published in 2023 by researchers including Sarah Watson.
Geoscience Australia conducted a multi-disciplinary study of the Browse Basin, a proven hydrocarbon province on Australia's North West Shelf. The work integrated updated biostratigraphy, well log analysis, seismic interpretation, and geochemical studies into a regional petroleum systems model. It analyzed seven Cretaceous supersequences to understand source rock distribution, generation potential, and play prospectivity.
AGSO's 1995-96 Petrel Sub-basin Study was conducted by the Marine, Petroleum and Sedimentary Resources Division as part of the North West Shelf Project. The dataset likely contains organic geochemistry data for oils and source rocks, aimed at understanding the basin's stratigraphic and structural development for resource exploration. The study defined basement elements, tectonic evolution, basin fill, and factors controlling petroleum systems.
Geoscience Australia's Australian Maritime Boundaries 2020 dataset provides a digital representation of Australia's scheduled and offshore areas as defined under the Offshore Petroleum and Greenhouse Gas Storage Act 2006. The data covers the entire Australian marine jurisdiction, including waters adjacent to the mainland, offshore islands, and External Territories, with coordinates in the GDA94 datum. This version incorporates updates such as the 2018 Timor Sea Treaty.
The Australian Ocean Data Network provides hyperspectral logging data from 13 petroleum, mineral, and stratigraphic wells in the southern Georgina Basin. The data, collected by HyLoggerTM instruments, characterize middle Cambrian marine sediments and source rock units in terms of mineralogy and spectral properties. Interpretation of this data alongside wireline logs supports the differentiation of organic-rich shale units within the Arthur Creek Formation.