mobileMenu


Magnetic time series for Differential Magnetometer site Knayton (KNA)

Dataset title Magnetic time series for Differential Magnetometer site Knayton (KNA)
Dataset creators Juliane Huebert, British Geological Survey
Ciaran Beggan, British Geological Survey
Adam Collins, British Geological Survey
Dataset theme Geoscientific Information
Dataset abstract

Magnetic time-series from the BGS SWIGS differential magnetometer method (DMM) systems. Funded by NERC, grant number: NE/P017231/1 "Space Weather Impact on Ground-based Systems (SWIGS)". These data consist of measurements of the Earth’s natural magnetic field at the remote site (KNAR) and the natural magnetic field plus the field created by GIC at the underline site (KNAU). The database will include .xyz files with the DMM data and one document with metadata. See Huebert et al. (2020) for further details.

Dataset content dates 31/10/2018 - 02/09/2019
Dataset spatial coverage Knayton, North Yorkshire, UK
Dataset supply format ASCII text files (.xyz)
PDF
Dataset language English-United Kingdom
Dataset discovery metadata record Discovery Link to the dataset's BGS Discovery Metadata record
Dataset publisher British Geological Survey
Dataset publication date 18th March 2021
Dataset digital object identifier(DOI) 10.5285/03001421-6e88-4b60-bc8a-5f3993ac8d0e
Dataset citation text Huebert, J., Beggan, C. D., Collins, A.T. (2021): Magnetic time series for Differential Magnetometer site Knayton (KNA). British Geological Survey. (Dataset). https://doi.org/10.5285/03001421-6e88-4b60-bc8a-5f3993ac8d0e
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#item163330
Further information Differential Magnetometer Measurements of Geomagnetically Induced Currents in a Complex High Voltage Network. J. Huebert, C. D. Beggan1, G. S. Richardson, T. Martyn, A.W.P. Thomson.

http://nora.nerc.ac.uk/id/eprint/527263/.