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  • 2020-2024  (6)
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  • 1
    Publication Date: 2024-04-20
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 85 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-04-20
    Description: This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 209'948 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-04-20
    Description: 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 2008-2020 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 154.1 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 2021 edition of the Matterhorn data is https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr/tree/matterhorn_data_2021.
    Keywords: Binary Object; File content; Long-term monitoring; Matterhorn_Hoernligrat; Matterhorn, Switzerland; Mountain Permafrost; MULT; Multiple investigations; Natural hazards; Wireless sensors
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-04-20
    Description: 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 2008-2021 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 154.1 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 2022 edition of the Matterhorn data is https://gitlab.ethz.ch/tec/public/permasense/permasense_datamgr/tree/matterhorn_data_2022.
    Keywords: Binary Object; File content; Long-term monitoring; Matterhorn_Hoernligrat; Matterhorn, Switzerland; MULT; Multiple investigations; Natural hazards; Wireless sensors
    Type: Dataset
    Format: text/tab-separated-values, 36 data points
    Location Call Number Expected Availability
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  • 5
    Publication Date: 2024-04-20
    Description: This dataset collates data of continuously acquired kinematic observations obtained through in-situ Global Navigation Satellite Systems (GNSS) instruments that have been designed and implemented in a large-scale multi field-site monitoring campaign across the whole Swiss Alps. The landforms covered include rock glaciers, high-alpine steep bedrock bedrock as well as landslide sites, most of which are situated in permafrost areas. The dataset was acquired at 54 different stations situated at locations from 2304 to 4003 meter a.s.l and comprises 229'669 daily positions derived through double-differential GNSS post-processing. Apart from these, the dataset contains down-sampled and cleaned time series of weather station and inclinometer data as well as the full set of GNSS observables in RINEX format. Furthermore the dataset is accompanied by tools for processing and data management in order to facilitate reuse, open alternate usage opportunities and support the life-long living data process with updates. All data contained in this data set including updates to newer data can also be retrieved using the toolset available at https://git.uibk.ac.at/informatik/neslab/public/permasense/permasense_datamgr from the online PermaSense data repository at http://data.permasense.ch.
    Keywords: Binary Object; Binary Object (File Size); Cryosphere; File content; GNSS; kinematics; Landslides; mass movements; MULT; Multiple investigations; Natural hazards; Permafrost; Rockfall; Swiss_Alps
    Type: Dataset
    Format: text/tab-separated-values, 22 data points
    Location Call Number Expected Availability
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  • 6
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    Springer Nature | Palgrave Macmillan
    Publication Date: 2024-04-06
    Description: How could a small country in the middle of Europe, surrounded by much bigger countries and economic giants like Germany and France and in direct competition with North American and Asian rivals, develop world-class, cutting-edge financial markets? Swiss Finance answers this question, separating myth from reality, by explaining how Switzerland managed dramatic pressures brought to bear on its financial markets during the past two decades, perhaps none of them so great as the: · Competitive challenges caused by changes in Switzerland's banking secrecy laws and practices, · Shifting tide of new wealth generation toward Asia (e.g., China, Singapore, and South Korea), · Burdensome federal stamp and withholding taxes, and · Digitalization of the financial services industry, including cybersecurity, cryptocurrencies, smart contracts, central bank digital currencies, the FinTech revolution, and DLT applications. Swiss Finance thoroughly analyzes Swiss financial markets’ successes and challenges. It covers critical topics for practitioners and academics to fully understand this unique development in world financial markets and private wealth administration. ; Provides thorough coverage of Swiss financial markets, their development, status, and expected position in the global economy Discusses the dramatic changes that have taken place in global financial markets, which have affected Swiss financial governance, regulation, financial structures, and institutions Covers new topics such as financial digitalization, FinTech, the collaborative economy, the impact of cryptocurrencies, distributed ledger technologies, and smart contracts
    Keywords: Swiss Financial Markets ; Swiss Banking System ; Swiss Debt and Equity Markets ; Swiss Derivative Markets ; Swiss Institutional Investors ; Swiss Taxes ; Financial Digitalization ; the Swiss National Bank ; thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNS Hospitality and service industries ; thema EDItEUR::K Economics, Finance, Business and Management::KF Finance and accounting::KFF Finance and the finance industry
    Language: English
    Format: image/jpeg
    Format: image/jpeg
    Location Call Number Expected Availability
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