Articles | Volume 8, issue 2
https://doi.org/10.5194/gi-8-277-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.A universal and multi-dimensional model for analytical data on geological samples
Related subject area
Data base
Making geoscientific lab data FAIR: a conceptual model for a geophysical laboratory database
Expanding HadISD: quality-controlled, sub-daily station data from 1931
Sodankylä ionospheric tomography data set 2003–2014
A 7-year dataset for driving and evaluating snow models at an Arctic site (Sodankylä, Finland)
The abandoned surface mining sites in the Czech Republic: mapping and creating a database with a GIS web application
Geosci. Instrum. Method. Data Syst., 13, 63–73,
2024Geosci. Instrum. Method. Data Syst., 5, 473–491,
2016Geosci. Instrum. Method. Data Syst., 5, 263–270,
2016Geosci. Instrum. Method. Data Syst., 5, 219–227,
2016Geosci. Instrum. Method. Data Syst., 5, 143–149,
2016Cited articles
Adcock, S., Grunsky, E., and Laframboise, R.: A Universal Geochemical Survey Data Model, available at: https://www.researchgate.net/publication/266066484_A_Universal_Geochemical_Survey_Data_Model, last access: 1 October, 2019.
Artioli, G., Angelini, I., Nimis, P., and Villa, I. M.: A lead-isotope database of copper ores from the Southeastern Alps: A tool for the investigation of prehistoric copper metallurgy[J], J. Archaeol. Sci., 75, 27–39, https://doi.org/10.1016/j.jas.2016.09.005, 2016.
Beynon-Davies, P.: Relational Data Model, in: Database Systems, Palgrave, London, https://doi.org/10.1007/978-0-230-00107-7_7, 2004.
Brandl, P. A., Regelous, M., Beier, C., and Haase, K. M.: High mantle
temperatures following rifting caused by continental insulation, Nat.
Geosci., 6, 391–394, https://doi.org/10.1038/ngeo1758, 2013.
Carbotte, S. M., Marjanović, M., Carton, H., Mutter, J. C., Canales, J. P.,
Nedimović, M. R., Han, S., and Perfit, M. R.: Fine-scale segmentation of
the crustal magma reservoir beneath the East Pacific Rise, Nat.
Geosci., 6, 866–870, https://doi.org/10.1038/ngeo1933, 2013.