Unfortunately this page does not have a mobile or narrow screen view. Please switch to a desktop computer or increase the size of your browser. For tablets try flipping the screen.

Metadata Files

Data Publication

GeoMod2008 materials benchmark: The sieve dataset

Klinkmüller, Matthias | Schreurs, Guido | Rosenau, Matthias

GFZ Data Services

(2016)

Descriptions

This dataset provides sieve data (grain size distributions) on natural and artificial granular materials used for experimental simulation by the analogue geodynamic modelling community (21 sands and glass beads). The material samples have been collected community-wide and analysed at GFZ Potsdam in the framework of the GeoMod2008 conference benchmark initiative. The context of data collection, details of the material samples and measuring techniques as well as interpretation and discussion of results can be found in Klinkmüller et al. (2016) to which this dataset is supplement material.
The data presented here are derived by sieving using a RETSCH Vibratory Sieve Shaker AS 200 basic at GFZ Potsdam’s analogue laboratory for tectonic modelling. Mesh sizes used were 630, 400, 355, 224, 125, and 63 micrometer. 1 kg of each sample material has been sieved for 4 hours at maximum Amplitude (3 mm). Laboratory conditions were air conditioned during all the measurements (Temperature: 23°C, Humidity: 45%).The resulting sieve analysis data are presented as fractions of 1 kg.
An overview of all files of the data set is given in the table SieveDataOverview.

Keywords


Originally assigned keywords
analogue materials
granular materials
bulk solids
analog models
sandbox
benchmark
Geomod
EPOS
multi-scale laboratories
analogue models of geologic processes
property data of analogue modelling materials

Corresponding MSL vocabulary keywords
analogue modelling material
deformation experiments

MSL enriched keywords
analogue modelling material
Apparatus
analogue modelling
deformation experiments
granular modelling material
synthetic granular material
glass microspheres
Analyzed feature
grain size and configuration
grain size

MSL enriched sub domains i

analogue modelling of geologic processes
microscopy and tomography

Source

https://dataservices.gfz-potsdam.de/panmetaworks/showshort.php?id=escidoc:1423019

Source publisher

GFZ Data Services


DOI

10.5880/gfz.4.1.2016.003


Creators

Klinkmüller, Matthias

Institute of Geology, University of Bern, Bern, Switzerland

Schreurs, Guido

Institute of Geology, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Rosenau, Matthias

GFZ German Research Centre for Geosciences, Potsdam, Germany

ORCID:

https://orcid.org/0000-0003-1134-5381


Contributors

Klinkmüller, Matthias

Researcher

Institute of Geology, University of Bern, Bern, Switzerland

Klinkmüller, Matthias

DataCollector

Institute of Geology, University of Bern, Bern, Switzerland

Schreurs, Guido

ProjectLeader

Institute of Geology, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Schreurs, Guido

Supervisor

Institute of Geology, University of Bern, Bern, Switzerland

ORCID:

https://orcid.org/0000-0002-4544-7514

Rosenau, Matthias

DataManager

GFZ German Research Centre for Geosciences, Potsdam, Germany

ORCID:

https://orcid.org/0000-0003-1134-5381

Rosenau, Matthias

DataCurator

GFZ German Research Centre for Geosciences, Potsdam, Germany

ORCID:

https://orcid.org/0000-0003-1134-5381

Rosenau, Matthias

ContactPerson

GFZ German Research Centre for Geosciences, Potsdam, Germany

ORCID:

https://orcid.org/0000-0003-1134-5381

Rosenau, Matthias

DataCollector

GFZ German Research Centre for Geosciences, Potsdam, Germany

ORCID:

https://orcid.org/0000-0003-1134-5381

Tectonic Modelling Laboratory At The Institute For Geological Sciences (TecLab Bern, Switzerland)

HostingInstitution

Institute of Geological Sciences of the University of Bern, Switzerland

HelTec-Helmholtz Laboratory For Tectonic Modelling (GFZ German Research Centre For Geosciences, Germany)

HostingInstitution

GFZ German Research Centre for Geosciences, Potsdam, Germany


References

10.1016/j.tecto.2016.01.017


Citation

Klinkmüller, M., Schreurs, G., & Rosenau, M. (2016). GeoMod2008 materials benchmark: The sieve dataset [Data set]. GFZ Data Services. https://doi.org/10.5880/GFZ.4.1.2016.003


Dates

Created:

2008

Issued:

2016


Language

en


Rights

CC BY 4.0