Kasburg, Valentin; Kukowski, Nina (2024): Three-year recordings of tectonic-climate data from Moxa Geodynamic Observatory [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.972033
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Published: 2024-09-04 • DOI registered: 2024-09-04
Abstract:
The dataset includes recordings from laser strainmeters, a weather station and several groundwater monitoring wells from Moxa Geodynamic Observatory, located in central Germany. The recordings of the laser strainmeters include measurements along the North-South and East-West directions. The data from the weather station contains recordings of temperature, barometric pressure, wind speed, global radiation, humidity, and snow load. This dataset was compiled for analyzing the causal relationship between climatic variables and strain measurements and covers the period from November 2014 to October 2017. The data has a temporal resolution of one hour, which was calculated from the original temporal resolution of 10 seconds by calculating the mean value. Laser strainmeter measurements underwent error correction and were corrected for Earth tides using the Cleanstrain + package (Langbein, 2010).
Supplement to:
Ahmad, Wasim; Kasburg, Valentin; Kukowski, Nina; Shadaydeh, Maha; Denzler, Joachim (2024): Deep-Learning Based Causal Inference: A Feasibility Study Based on Three Years of Tectonic-Climate Data From Moxa Geodynamic Observatory. Earth and Space Science (ESS), 11(10), e2023EA003430, https://doi.org/10.1029/2023EA003430
References:
Langbein, John (2010): Computer algorithm for analyzing and processing borehole strainmeter data. Computers & Geosciences, 36(5), 611-619, https://doi.org/10.1016/j.cageo.2009.08.011
Funding:
Carl Zeiss Foundation, grant/award no. Breakthroughs: Exploring Intelligent Systems for Digitization
Coverage:
Latitude: 50.644955 * Longitude: 11.615621
Date/Time Start: 2014-10-31T23:00:00 * Date/Time End: 2017-10-31T22:00:00
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Kasburg, Valentin | Geocode – UTC | ||
| 2 | Temperature, air | TTT | °C | Kasburg, Valentin | Weather station/meteorological observation (WST) | |
| 3 | Pressure, atmospheric | PPPP | hPa | Kasburg, Valentin | Weather station/meteorological observation (WST) | |
| 4 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | mb |
| 5 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | seismometer room |
| 6 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | superconducting gravimeter |
| 7 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | gallery west |
| 8 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | gallery knee |
| 9 | Groundwater level | GW level | m | Kasburg, Valentin | Groundwater monitoring well | gallery south |
| 10 | Wind velocity, zonal component | U | m/s | Kasburg, Valentin | Weather station/meteorological observation (WST) | east-west |
| 11 | Wind velocity, meridional component | V | m/s | Kasburg, Valentin | Weather station/meteorological observation (WST) | north-south |
| 12 | Snow load | Snow load | arbitrary units | Kasburg, Valentin | Weather station/meteorological observation (WST) | raw data, sensor output in mA |
| 13 | Humidity, relative | RH | % | Kasburg, Valentin | Weather station/meteorological observation (WST) | |
| 14 | Radiation sensor, short-wave downward radiation, raw signal | SWD raw | mV | Kasburg, Valentin | Weather station/meteorological observation (WST) | global radiation |
| 15 | Strain | Strain | Kasburg, Valentin | Laser strainmeter | east-west corrected Δl/l | |
| 16 | Strain | Strain | Kasburg, Valentin | Laser strainmeter | north-south corrected Δl/l |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
388395 data points
Download Data
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