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The Hangai Mountains Magnetotelluric Experiment: Inversion repository
(2020)Inversion data repository, supplementary to Chapter 4 of the doctoral thesis: Crust-mantle interactions beneath the Hangai and Gobi-Altai Mountains, Mongolia Insights from an innovative magnetotelluric multi-scale survey and 3-D inversion ETH Zurich, Dissertation Nr. 26631Data Collection -
The Hangai Mountains Magnetotelluric Experiment: Data repository
(2020)Data repository, supplementary to Chapter 2 of the doctoral thesis: Crust-mantle interactions beneath the Hangai and Gobi-Altai Mountains, Mongolia Insights from an innovative magnetotelluric multi-scale survey and 3-D inversion ETH Zurich, Dissertation Nr. 26631Data Collection -
Animation of the Hangai and Gobi-Altai resistivity model (Mongolia)
(2020)A video animation of the electrical resistivity model of the Hangai and Gobi-Altai region in Mongolia. The model was created with a multiscale inversion of magnetotelluric data. Measurement locations are shown by grey spheres. Additional geologic information is shown in the end of the video. Fault traces are shown by grey lines, cenozoic volcanism by red spheres, geothermal activity by light blue spheres and a geothermal high heat flow ...Video -
Interpolated global channel steepness (ksn) map (1 km resolution)
(2020)This is an interpolated global ksn map, based on the ksn map of Hilley (2019). Hilley's ksn map defines the channel steepness along river channels. I use an approach based on Voronoi polygons to extrapolate ksn out to the surrounding hillslopes. For detailed methods please see the linked publication (https://doi.org/10.1029/2020GL088649).Image -
Global geologic, topographic and biological data set
(2020)This data set is a global compilation of different geologic, topographic and biological variables for hilly and mountainous areas on Earth with 1 km resolution. The data are uploaded as a text file, with rows corresponding to pixels in the analyzed global raster data set. Columns correspond to the following variables: elevation [m], local relief [m], slope [° *10],precipitation [mm/a] ,temperature [°C *10] ,NDVI average [0-255], NDVI ...Dataset -
UTD19
(2020)UTD19 is a large-scale traffic data set from over 20000 stationary detectors on urban roads in 40 cities worldwide making it the largest multi-city traffic data set publically available. See https://utd19.ethz.ch/ for more information.Dataset