Magnetotelluric (MT) time series including the September 2017 magnetic storm at 7 sites in the Scottish Highlands collected by Fiona Simpson (University of Southampton) and Karsten Bahr (University of Göttingen) using Göttingen RAP dataloggers, Magson fluxgate magnetometers and Filloux-type electrodes. Data acquisition methodology is described in F. Simpson and K. Bahr, 2005. Practical Magnetotellurics, Cambridge University Press, London pp. 254, 2005, ISBN: 9781108462556, DOI: 10.1017/CBO9780511614095 This dataset is described in: F. Simpson and K. Bahr, 2020a. Nowcasting and validating Earth’s electric field response to extreme space weather events using magnetotelluric data: application to the September 2017 geomagnetic storm and comparison to observed and modelled fields in Scotland, Space Weather, accepted, doi pending. F. Simpson and K. Bahr, 2020b. Estimating the electric field response to the Halloween 2003 and September 2017 magnetic storms across Scotland using observed geomagnetic fields, magnetotelluric impedances and perturbation tensors, Journal of Space Weather and Space Climate, accepted, doi pending.

Magnetotelluric data for the Halloween 2003 magnetic storm in the vicinity of Uppsala (UPS), Sweden and Eskdalemuir (ESK), Scotland geomagnetic observatories synthesized from geomagnetic observatory data from INTERMAGNET. The data were generated to facilitate comparison of the ground effects of the Halloween 2003 magnetic storm in Sweden and Scotland. The data demonstrate the greater risk of hazardous storm-time electric fields being generated in southern Sweden compared to central Scotland and are further described in the gold open access paper: F. Simpson and K. Bahr, 2020a. The role of tectonic-plate thickness and mantle conductance in determining regional vulnerability to extreme space weather events: possible enhancement of magnetic source fields by secondary induction in the asthenosphere. Space Weather, accepted, doi pending. The synthesis technique that enables electric fields to be estimated from geomagnetic observatory data is described and validated in the following gold open access papers: F. Simpson and K. Bahr, 2020b. Nowcasting and validating Earth's electric field response to extreme space weather events using magnetotelluric data: application to the September 2017 geomagnetic storm and comparison to observed and modelled fields in Scotland, Space Weather, 18, e2019SW002432, https://doi.org/10.1029/2019SW002432. F. Simpson and K. Bahr, 2020c. Estimating the electric field response to the Halloween 2003 and September 2017 magnetic storms across Scotland using observed geomagnetic fields, magnetotelluric impedances and perturbation tensors, JSWSC, swsc200019, 10, (48), https://doi.org/10.1051/swsc/2020049.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.

This data set comprises broadband magnetotelluric (MT) and transient electromagnetic (TEM) data collected during three field seasons in 2008, 2009 and 2010 by a team of researchers from the University of Edinburgh, UK, IMAGIR, Brest, France and the Institute for Geophysics, Space Science and Astronomy at Addis Ababa University, Ethiopia. The MT dataset includes the original time series and processed transfer functions. The time series data are provided in the original raw data format with files to convert them to ascii. Raw and processed TEM data, collected with a Geonics PROTEM system, are included. We provide information on the locations and the processing and include the necessary instrument response functions and metadata to reproduce our results from the raw data.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.

This data set includes the original time series collected with broadband and long-period MT instruments during two field seasons in 2016 and 2017 by a team of researchers from the University of Edinburgh, UK and the Institute for Geophysics, Space Science and Astronomy at Addis Ababa university, Ethiopia. For the magnetotelluric stations, processed transfer functions are included in the edi file format. The time series data is provided both in the original raw data format and an ascii version. We provide information on the locations and the processing and include the necessary instrument response functions and metadata to reproduce our results from the raw data. For the TEM recordings, site coordinates and raw data are included in the original format.

Long-period Magnetotelluric time series recorded in Jan to Feb 2022 at site NT91 near Alnham, England, UK (NT91). Funded by NERC, grant number: NE/V002694/1 "SWIMMR Activities in Ground Effects (SAGE)". These data consist of measurements of the Earth’s natural magnetic and electric field variations.