Published September 6, 2023 | Version Version 2
Dataset Open

Cosmogenic radionuclide and thermochronology data from the Tian Shan and northern Pamir

  • 1. Institute of Geosciences, University of Potsdam, Germany; School of Earth, Atmospheric and Life Sciences, University of Wollongong, Australia
  • 2. School of Earth, Atmospheric and Life Sciences, University of Wollongong, Australia; ARC Centre of Excellence for Australian Biodiversity and Heritage (CABAH), University of Wollongong, Australia
  • 3. Institute of Geosciences, University of Potsdam, Germany
  • 4. Institute of Geosciences, Germany; NAGRA, Switzerland
  • 5. School of Earth, Atmospheric and Life Sciences, University of Wollongong, Australia; Australian Nuclear Science and Technology Organisation (ANSTO), Australia
  • 6. Institute of Seismology, National Academy of Science of Kyrgyzstan, Kyrgyzstan
  • 7. Australian Nuclear Science and Technology Organisation (ANSTO), Australia
  • 8. GFZ German Research Centre for Geosciences, Germany; Institute of Geosciences, University of Potsdam, Germany
  • 9. Australian Nuclear Science and Technology Organisation (ANSTO), Australia; Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), Spain
  • 10. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Germany

Description

The zip folder Kudriavtseva_etal_TianShan_Repository contains the following files and folders:

The excel file Kudriavtseva_SuppInfo-Tables_S1-S7 provides seven data tables with cosmogenic 10Be, low-temperature thermochronology, and geospatial data from the Tian Shan and northern Pamir. These data tables form part of the Supporting Information for the study "Impact of Quaternary glaciations on denudation rates in north Pamir Tian Shan inferred from cosmogenic 10Be and low-temperature thermochronology" by Kudriavtseva et al.

The folders Be10-glacial-correction and Be10-no_correction include input files for calculating 10Be-derived denudation rates using the open-source program CAIRN v.1 (Mudd et al., 2016) and shapefiles of drainage basins from the Tian Shan and northern Pamir. These data include original 10Be data from this study, as well as published 10Be data from Grin et al. (2018) and Charreau et al. (2023).

The folder Thermochronology_Data includes two excel files summarizing published AFT and AHe data from the Tian Shan, input data for calculating exhumation rates using age2exhume MATLAB code (van der Beek & Schildgen, 2023), and the resulting exhumation rates. Additionally, this folder contains two text files with the input AFT and AHe data; they can be directly imported into MATLAB.

Notes

Funding was provided by the Deutsche Forschungs Gesellschaft e.V. (DFG) grant SO 436/9-1 to E. Sobel, as well as by the German Federal Ministry of Education and Research (project TIPTIMON; support code 03G0809) and Volkswagen Foundation (grant AZ 754 86860) to A. Landgraf and O. Korup. A. Kudriavtseva was also funded by the University of Wollongong (UOW) Faculty of Science, Medicine and Health and the UOW University Postgraduate Award fund.

Files

Kudriavtseva_etal_TianShan_Repository.zip

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References

  • Charreau, J., Blard, P.H., Lavé, J., Dominguez, S., & Li, W.S. (2023). Unsteady topography in the eastern Tianshan due to imbalance between denudation and crustal thickening. Tectonophysics, 848, 1-16. https://doi.org/10.1016/j.tecto.2022.229702
  • Grin, E., Schaller, M., & Ehlers, T.A. (2018). Spatial distribution of cosmogenic 10Be derived denudation rates between the Western Tian Shan and Northern Pamir, Tajikistan. Geomorphology, 321, 1-15. https://doi.org/10.1016/j.geomorph.2018.08.007
  • Mudd S.M., Harel M.A., Hurst M.D., Grieve S.W., & Marrero S.M. (2016). The CAIRN method: automated, reproducible calculation of catchment-averaged denudation rates from cosmogenic nuclide concentrations. Earth Surface Dynamics, 4, 655-674. https://doi.org/10.5194/esurf-4-655-2016
  • Van der Beek, P., & Schildgen, T.F. (2023). age2exhume–a MATLAB/Python script to calculate steady-state vertical exhumation rates from thermochronometric ages and application to the Himalaya. Geochronology, 5(1), 35-49. https://doi.org/10.5194/gchron-5-35-2023