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Generalized Dataset of Geological and Geophysical Information of the Eastern Sector of the Russian Arctic, ver. 1.0 (2023)

I. A. Lisenkov 1, A. A. Soloviev1,2, V. A. Kuznetsov3, Yu. I. Nikolova1

1Geophysical Center RAS, Moscow, Russia;
2Schmidt Institute of Physics of the Earth, КФЫ Moscow, Russia;
3National Research Nuclear University MEPhI, Moscow, Russia.

Abstract

A generalized dataset of geological and geophysical data for the Eastern sector of the Russian Arctic was prepared in accordance with the implemented approach to collecting and processing geospatial data for the application of machine learning models in geophysics problems. This approach takes into account the differences in geodata format (vector/raster), scale, type of attribute information (quantitative/qualitative) and their availability. A key feature of the developed algorithm is the integration of geospatial data and their conversion into unified quantitative vectors. To combine data, the concept of circle neighborhoods is used to select and consolidate information.

The dataset contains tabular data with 43,783 rows and 227 columns. Each row describe the neighborhood geographical location, its radius as well as geological and geophysical characteristics under consideration. Brief dataset format description and original data sources are given below:

  • Circle neighborhood parameters, 'AREA' prefix (8 columns);
  • Earth's magnetic field anomalies [Lesur et al., 2016; Thébault et al., 2021], 'MAGN_ANOM' prefix (4 columns);
  • Relief height including bathymetry [Amante et al., 2009], 'RELIEF_HEIGHT' prefix (4 columns);
  • Relief types [IIASA, 2002], 'LANDFORM' prefix (12 columns);
  • Soil types map [IIASA, 2002], 'SOIL' prefix (140 columns);
  • Lithotype [IIASA, 2002], 'LITHSPECS' prefix (27 columns);
  • Active faults [Zelenin et al., 2022], 'FAULTS' prefix (19 columns);
  • Catalog of earthquakes [Gvishiani et al., 2022b]: 'MAG' prefix (2 columns);
  • Bouguer anomalies of gravitational field [Pavlis et al., 2008], 'BOUGUER' prefix (4 columns);
  • FCAZ zones of earthquake prone areas [Gvishiani et al., 2022a], 'FCAZ' prefix (1 column);
  • Date and time of data preparation, 'DATA_COLLECT' prefix (6 columns).

References:
Amante, C. and B. W. Eakins, ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24, 19 pp, March 2009

Gvishiani A.D., Dzeboev B.A., Dzeranov B.V., Kedrov E.O., Skorkina A.A., Nikitina I.M. Strong Earthquake-Prone Areas in the Eastern Sector of the Arctic Zone of the Russian Federation // Applied Sciences. 2022a. Vol. 12. 11990. DOI: 10.3390/app122311990

Gvishiani A., Vorobieva I., Shebalin P., Dzeboev B., Dzeranov B., Skorkina A. Integrated Earthquake Catalog of the Eastern Sector of Russian Arctic // Applied Sciences. 2022b. Vol. 12. 5010. DOI: 10.3390/app12105010

IIASA – The International Institute for Applied Systems Analysis. 2002. Land Resources of Russia, accessed 17 April 2024, https://webarchive.iiasa.ac.at/Research/FOR/russia_cd/download.htm

Lesur V., Hamoudi M., Choi Y., Dyment J., Thebault E. (2016). Building the second version of the World Digital Magnetic Anomaly Map (WDMAM). Earth, Planets and Space. 68. 10.1186/s40623-016-0404-6

N.K. Pavlis, S.A. Holmes, S.C. Kenyon, J.K. Factor (2008). An Earth Gravitational Model to Degree 2160: EGM2008, presented at the 2008 General Assembly of the European Geosciences Union, Vienna, Austria, April 13-18, 2008. Available at: http://earth-info.nga.mil/GandG/wgs84/gravitymod/egm2008/egm08_wgs84.html

Thébault E., Hulot G., Langlais B., Vigneron P. (2021). A spherical harmonic model of Earth's lithospheric magnetic field up to degree 1050. Geophysical Research Letters, 48, e2021GL095147. https://doi.org/10.1029/2021GL095147

Zelenin E.A, Bachmanov D.M., Garipova S.T., Trifonov V.G., Kozhurin A.I. The Active Faults of Eurasia Database (AFEAD): the ontology and design behind the continental-scale dataset // Earth System Science Data. 2022. vol. 14. p. 4489-4503

Database creation date: 2023; Publication date: 6 August 2024

Contributor:
Geophysical Center of the Russian Academy of Sciences (GC RAS), Moscow, Russia.
Institution:
Geophysical Center of the Russian Academy of Sciences (GC RAS), Moscow, Russia.
Publisher:
Geophysical Center of the Russian Academy of Sciences (GC RAS), Moscow, Russia (http://www.gcras.ru/eng/)

Data format: CSV (Comma-separated values)

doi: https://doi.org/10.2205/public-artcic-geospatial-data

Citation: Lisenkov, I. A., A. A. Soloviev, V. A. Kuznetsov, Yu. I. Nikolova. (2024), 2023 Generalized Dataset of Geological and Geophysical Information of the Eastern Sector of the Russian Arctic. ESDB repository, GCRAS, Moscow, https://doi.org/10.2205/public-artcic-geospatial-data.

License: Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

URL for downloading: https://esdb.wdcb.ru/doi/2024/public_artcic_rf_geospatial_description/public_artcic_geospatial_data.csv  (Only authorized users can open this link. Please send an email to  to request a password to download data.)

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