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Temperature Maps of the British Coalfields

Dataset title Temperature Maps of the British Coalfields
Dataset creators British Geological Survey
Coal Authority
Dataset theme Geoscientific Information
Dataset abstract

This dataset provides the first map and synthesis of the temperature of Britain's coalfields. It was created to support low-temperature heat recovery, cooling and storage schemes using mine water in abandoned workings. This baseline spatial mapping and synthesis of coalfield temperatures offers significant benefit to those planning, designing and regulating heat recovery and storage in Britain's abandoned coalfields. The data has been developed jointly by the Coal Authority and the British Geological Survey. It is delivered as a hexgrid representing mine water blocks, identifying equilibrium mine temperatures at 10 depth intervals (100m >h; 1000m) and pumped mine temperatures at 6 depth intervals (100m >h; 600m). The methodology is described in full in an open access paper Farr et al (2020) – https://doi.org/10.1144/qjegh2020-109

Dataset content dates before 16/11/2020
Dataset spatial coverage Great Britain
Dataset supply format Shapefile
Geopackage
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher NERC EDS National Geoscience Data Centre
Dataset publication date 5th March 2022
Dataset digital object identifier(DOI) 10.5285/d4bb3df8-6f62-462c-8aa5-6b9867e2e5ae
Dataset citation text British Geological Survey, Coal Authority (2022). Temperature Maps of the British Coalfields. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/d4bb3df8-6f62-462c-8aa5-6b9867e2e5ae
Constraints and terms of use This data set is available under Open Government Licence, subject to the following acknowledgement accompanying any reproduced materials: "Contains data supplied by permission of the Natural Environment Research Council [YEAR]".
Access the dataset https://webapps.bgs.ac.uk/services/ngdc/accessions/index.html#item172374
Further information The methodology is described in full in an open access paper Farr et al (2020) – https://doi.org/10.1144/qjegh2020-109