In-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland; 2008-2019

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Hauptverfasser: Weber, Samuel, Beutel, Jan, Da Forno, Reto, Geiger, Alain, Gruber, Stephan, Gsell, Tonio, Hasler, Andreas, Keller, Matthias, Lim, Roman, Limpach, Philippe, Meyer, Matthias, Talzi, Igor, Thiele, Lothar, Tschudin, Christian, Vieli, Andreas, Vonder Mühll, Daniel, Yücel, Mustafa
Format: Dataset Open Access
Sprache:en
Veröffentlicht: PANGAEA 2020
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author Weber, Samuel
Beutel, Jan
Da Forno, Reto
Geiger, Alain
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Keller, Matthias
Lim, Roman
Limpach, Philippe
Meyer, Matthias
Talzi, Igor
Thiele, Lothar
Tschudin, Christian
Vieli, Andreas
Vonder Mühll, Daniel
Yücel, Mustafa
author_facet Weber, Samuel
Beutel, Jan
Da Forno, Reto
Geiger, Alain
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Keller, Matthias
Lim, Roman
Limpach, Philippe
Meyer, Matthias
Talzi, Igor
Thiele, Lothar
Tschudin, Christian
Vieli, Andreas
Vonder Mühll, Daniel
Yücel, Mustafa
collection Datos científicos de ciencias marinas y ambientales
contents The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2019 by the PermaSense project. This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over the past decade. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. This data set provides primary data products as well as derived data products: GNSS raw data: GNSS observables in the form of daily RINEX 2.11 files GNSS derived data products: Daily positions computed using double-differencing GNSS processing Timelapse images: High-resolution visible light images Timeseries data raw: Per-year and location files or raw sampled data: Weather station, ground temperature, ground resistivity, fracture displacement and inclinometer data Timeseries derived data products: Cleaned and aggregated hourly values of the above Timeseries sanity plots: Standardized plots to obtain a visual overview and check data All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch. The version/tag used for the 2020 edition of the Matterhorn data is https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr/tree/matterhorn_data_2020.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_916193
institution PANGAEA
language en
publishDate 2020
publisher PANGAEA
record_format pangaea
spellingShingle In-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland; 2008-2019
Weber, Samuel
Beutel, Jan
Da Forno, Reto
Geiger, Alain
Gruber, Stephan
Gsell, Tonio
Hasler, Andreas
Keller, Matthias
Lim, Roman
Limpach, Philippe
Meyer, Matthias
Talzi, Igor
Thiele, Lothar
Tschudin, Christian
Vieli, Andreas
Vonder Mühll, Daniel
Yücel, Mustafa
File content; File format; File name; File size; Long-term monitoring; Matterhorn_Hoernligrat; Matterhorn, Switzerland; Mountain Permafrost; MULT; Multiple investigations; Natural hazards; Uniform resource locator/link to file; Wireless sensors
The data presented is a unique ten+ year data record obtained from in-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt, Switzerland at 3500 m a.s.l. during the time period 2008-2019 by the PermaSense project. This data set constitutes the longest, densest and most diverse data record in the history of mountain permafrost research worldwide with 17 different sensor types used at 29 distinct sensor locations consisting of over 114.5 million data points captured over the past decade. By documenting and sharing this data in this form we contribute to making our past research reproducible and facilitate future research based on this data e.g. in the area of analysis methodology, comparative studies, assessment of change in the environment, natural hazard warning and the development of process models. This data set provides primary data products as well as derived data products: GNSS raw data: GNSS observables in the form of daily RINEX 2.11 files GNSS derived data products: Daily positions computed using double-differencing GNSS processing Timelapse images: High-resolution visible light images Timeseries data raw: Per-year and location files or raw sampled data: Weather station, ground temperature, ground resistivity, fracture displacement and inclinometer data Timeseries derived data products: Cleaned and aggregated hourly values of the above Timeseries sanity plots: Standardized plots to obtain a visual overview and check data All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch. The version/tag used for the 2020 edition of the Matterhorn data is https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr/tree/matterhorn_data_2020.
title In-situ measurements in steep bedrock permafrost in an Alpine environment on the Matterhorn Hörnligrat, Zermatt Switzerland; 2008-2019
topic File content; File format; File name; File size; Long-term monitoring; Matterhorn_Hoernligrat; Matterhorn, Switzerland; Mountain Permafrost; MULT; Multiple investigations; Natural hazards; Uniform resource locator/link to file; Wireless sensors
url https://doi.org/10.1594/PANGAEA.916193