Articles | Volume 13, issue 3
Earth Syst. Sci. Data, 13, 1441–1459, 2021
https://doi.org/10.5194/essd-13-1441-2021
Earth Syst. Sci. Data, 13, 1441–1459, 2021
https://doi.org/10.5194/essd-13-1441-2021

Data description paper 01 Apr 2021

Data description paper | 01 Apr 2021

Database of petrophysical properties of the Mid-German Crystalline Rise

Sebastian Weinert et al.

Related authors

Interdisciplinary Fracture Network Characterization in the Crystalline Basement: A case study from the Southern Odenwald, SW Germany
Matthis Frey, Claire Bossennec, Lukas Seib, Kristian Bär, and Ingo Sass
Solid Earth Discuss., https://doi.org/10.5194/se-2021-118,https://doi.org/10.5194/se-2021-118, 2021
Preprint under review for SE
Short summary
Mineral, thermal and deep groundwater of Hesse, Germany
Rafael Schäffer, Kristian Bär, Sebastian Fischer, Johann-Gerhard Fritsche, and Ingo Sass
Earth Syst. Sci. Data, 13, 4847–4860, https://doi.org/10.5194/essd-13-4847-2021,https://doi.org/10.5194/essd-13-4847-2021, 2021
Short summary
Petrophysical and mechanical rock property database of the Los Humeros and Acoculco geothermal fields (Mexico)
Leandra M. Weydt, Ángel Andrés Ramírez-Guzmán, Antonio Pola, Baptiste Lepillier, Juliane Kummerow, Giuseppe Mandrone, Cesare Comina, Paromita Deb, Gianluca Norini, Eduardo Gonzalez-Partida, Denis Ramón Avellán, José Luis Macías, Kristian Bär, and Ingo Sass
Earth Syst. Sci. Data, 13, 571–598, https://doi.org/10.5194/essd-13-571-2021,https://doi.org/10.5194/essd-13-571-2021, 2021
Short summary
The PetroPhysical Property Database (P3) – a global compilation of lab-measured rock properties
Kristian Bär, Thomas Reinsch, and Judith Bott
Earth Syst. Sci. Data, 12, 2485–2515, https://doi.org/10.5194/essd-12-2485-2020,https://doi.org/10.5194/essd-12-2485-2020, 2020
Short summary
CobWeb 1.0: machine learning toolbox for tomographic imaging
Swarup Chauhan, Kathleen Sell, Wolfram Rühaak, Thorsten Wille, and Ingo Sass
Geosci. Model Dev., 13, 315–334, https://doi.org/10.5194/gmd-13-315-2020,https://doi.org/10.5194/gmd-13-315-2020, 2020
Short summary

Related subject area

Data, Algorithms, and Models
A 1 km global cropland dataset from 10 000 BCE to 2100 CE
Bowen Cao, Le Yu, Xuecao Li, Min Chen, Xia Li, Pengyu Hao, and Peng Gong
Earth Syst. Sci. Data, 13, 5403–5421, https://doi.org/10.5194/essd-13-5403-2021,https://doi.org/10.5194/essd-13-5403-2021, 2021
Short summary
A 1 km global dataset of historical (1979–2013) and future (2020–2100) Köppen–Geiger climate classification and bioclimatic variables
Diyang Cui, Shunlin Liang, Dongdong Wang, and Zheng Liu
Earth Syst. Sci. Data, 13, 5087–5114, https://doi.org/10.5194/essd-13-5087-2021,https://doi.org/10.5194/essd-13-5087-2021, 2021
Short summary
SeaFlux: harmonization of air–sea CO2 fluxes from surface pCO2 data products using a standardized approach
Amanda R. Fay, Luke Gregor, Peter Landschützer, Galen A. McKinley, Nicolas Gruber, Marion Gehlen, Yosuke Iida, Goulven G. Laruelle, Christian Rödenbeck, Alizée Roobaert, and Jiye Zeng
Earth Syst. Sci. Data, 13, 4693–4710, https://doi.org/10.5194/essd-13-4693-2021,https://doi.org/10.5194/essd-13-4693-2021, 2021
Short summary
Nitrogen deposition in the UK at 1 km resolution from 1990 to 2017
Samuel J. Tomlinson, Edward J. Carnell, Anthony J. Dore, and Ulrike Dragosits
Earth Syst. Sci. Data, 13, 4677–4692, https://doi.org/10.5194/essd-13-4677-2021,https://doi.org/10.5194/essd-13-4677-2021, 2021
Short summary
ERA5-Land: a state-of-the-art global reanalysis dataset for land applications
Joaquín Muñoz-Sabater, Emanuel Dutra, Anna Agustí-Panareda, Clément Albergel, Gabriele Arduini, Gianpaolo Balsamo, Souhail Boussetta, Margarita Choulga, Shaun Harrigan, Hans Hersbach, Brecht Martens, Diego G. Miralles, María Piles, Nemesio J. Rodríguez-Fernández, Ervin Zsoter, Carlo Buontempo, and Jean-Noël Thépaut
Earth Syst. Sci. Data, 13, 4349–4383, https://doi.org/10.5194/essd-13-4349-2021,https://doi.org/10.5194/essd-13-4349-2021, 2021
Short summary

Cited articles

Achtziger-Zupančič, P., Loew, S., and Mariéthoz, G.: A new global database to improve predictions of permeability distribution in crystalline rocks at site scale, J. Geophys. Res.-Sol. Ea., 122, 3513–3539, https://doi.org/10.1002/2017JB014106, 2017. 
Aretz, A., Bär, K., Götz, A. E., and Sass, I.: Outcrop analogue study of Permocarboniferous geothermal sandstone reservoir formations (northern Upper Rhine Graben, Germany): impact of mineral content, depositional environment and diagenesis on petrophysical properties, Int. J. Earth Sci., 105, 1431–1452, https://doi.org/10.1007/s00531-015-1263-2, 2016. 
Anthes, G. and Reischmann, T.: Timing of granitoid magmatism in the eastern mid-German crystalline rise, J. Geodyn., 31, 119–143, https://doi.org/10.1016/S0264-3707(00)00024-7, 2001. 
ASTM International: D3148 Standard test method for elastic moduli of intact rock core specimens in uniaxial compression, ASTM International, West Conshohocken, PA, https://doi.org/10.1520/D3148-02, 2002. 
ASTM International: D2664-04 Standard test method for triaxial compressive strength of undrained rock core specimens without pore pressure measurements, ASTM International, West Conshohocken, PA, https://doi.org/10.1520/D2664-04, 2004. 
Download
Short summary
Physical rock properties are a key element for resource exploration, the interpretation of results from geophysical methods or the parameterization of physical or geological models. Despite the need for physical rock properties, data are still very scarce and often not available for the area of interest. The database presented aims to provide easy access to physical rock properties measured at 224 locations in Bavaria, Hessen, Rhineland-Palatinate and Thuringia (Germany).