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4 datasets found

  • Rockfall gallery testing Parde 2016

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    Five full-scale field tests were conducted with concrete blocks weighting between 800 and 3200 kg being dropped onto the roof of a gallery structure made from reinforced concrete....

    Last updated: November 3, 2019

    • ZIP
    • impact-testing
    • experiments
    • experiment
    • field-tests
    • rockfall-experiments
    • field-data
    • field-test
    • rockfall
    • mass-movements
    • natural-hazard

  • Repetitive trajectory testing in Tschamut 2014

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    In summer 2014, 6 rock blocks between 20 and 80kg have been thrown in total 111 times down a slope at the Swiss Oberalppass close to the village Tschamut. The slope was mainly...

    Last updated: February 16, 2022

    • SERVICE
    • ZIP
    • natural-hazards
    • mass-movements
    • experiment
    • field-tests
    • rockfall
    • experiments
    • field-test
    • field-data
    • trajectory

  • Induced Rockfall Dataset (Small Rock Experimental Campaign), Tschamut, Grisons, Switzerland

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    Dataset of an experimental campaign of induced rockfall in Tschamut, Grisons, Switzerland.

    The data archive contains site specific geographical data such as DEM and orthophoto...

    Last updated: October 27, 2020

    • SERVICE
    • ZIP
    • stonenode
    • deposition-points
    • rockfall-experiments
    • sensor-stream
    • induced-rockfall
    • rockfall
    • natural-hazards
    • stonenodedata
    • rockfall-runout
    • dem

  • Distributed Acoustic Sensing Brienz

    EnviDat: the Environmental Data Portal
    Education, culture and sport

    This dataset contains the Distributed Acoustic Sensing (DAS), radar detection data used for training and result analysis in the GRL paper titled `Automatic Monitoring of Rock-Slope...

    Last updated: September 16, 2024

    • SERVICE
    • seismic
    • machine-learning
    • early-warning
    • rockfall
    • landslide
    • natural-hazard

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