The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/65d51e7c-ea4c-40ce-9561-e556948b7a8a

Krietemeyer, Andreas; van Dalfsen, Elske (2024): Cost-efficient GNSS basestation SD card image for Raspberry Pi. Version 4. 4TU.ResearchData. software. https://doi.org/10.4121/65d51e7c-ea4c-40ce-9561-e556948b7a8a.v4

Software

x choose version: version 3 - 2024-09-27 version 2 - 2024-09-26 version 1 - 2024-09-06

• Civil Engineering
• Natural Hazards
• Geophysics
• Physical Geography and Environmental Geoscience
• Atmospheric Sciences
• Other Earth Sciences
• Earth Sciences
• Engineering
• Technology
• Environmental Sciences
• Environment

cost-efficient, Global Navigation Satellite System (GNSS), ZED-F9

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CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Andreas Krietemeyer , Elske van Dalfsen

Consists of the full SD card image to run the cost-efficient GNSS unit in the accompanied paper "Cost-effective GNSS as a tool for monitoring volcanic deformation: A case study on Saba in the Lesser Antilles" (submitted)

• 2024-09-06 first online

• 2024-09-30 published, posted

4TU.ResearchData

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• https://github.com/kriete/cost-efficient-gnss-base-station-scripts/tree/main

• Transformative Environmental Monitoring to Boost Observations in Africa (grant code 101086209) [more info...] European Commission
• European Commission's Horizon 2020 Programme under grant agreement number 776691 (TWIGA)

Royal Netherlands Meteorological Institute (KNMI);
TU Delft, Faculty of Civil Engineering and Geosciences