Alpine rockwall erosion patterns follow elevation-dependent climate trajectories

The data set comprises rock surface temperatures used to model permafrost distribution and frost weathering, and rockfall volume and location derived from terrestrial laserscanning. All data was collected in the Hungerli Valley, Swiss Alps.

Bibliographic Details
Main Authors: Draebing, Daniel, Mayer, Till, Jacobs, Benjamin, McColl, Samuel T.
Format: Dataset
Language:unknown
Published: figshare 2021
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.17152481.v1
https://figshare.com/articles/dataset/Alpine_rockwall_erosion_patterns_follow_elevation-dependent_climate_trajectories/17152481/1
id ftdatacite:10.6084/m9.figshare.17152481.v1
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.17152481.v1 2023-05-15T17:57:09+02:00 Alpine rockwall erosion patterns follow elevation-dependent climate trajectories Draebing, Daniel Mayer, Till Jacobs, Benjamin McColl, Samuel T. 2021 https://dx.doi.org/10.6084/m9.figshare.17152481.v1 https://figshare.com/articles/dataset/Alpine_rockwall_erosion_patterns_follow_elevation-dependent_climate_trajectories/17152481/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.17152481 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY 40601 Geomorphology and Regolith and Landscape Evolution FOS Earth and related environmental sciences dataset Dataset 2021 ftdatacite https://doi.org/10.6084/m9.figshare.17152481.v1 https://doi.org/10.6084/m9.figshare.17152481 2022-02-08T16:39:48Z The data set comprises rock surface temperatures used to model permafrost distribution and frost weathering, and rockfall volume and location derived from terrestrial laserscanning. All data was collected in the Hungerli Valley, Swiss Alps. Dataset permafrost DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic 40601 Geomorphology and Regolith and Landscape Evolution
FOS Earth and related environmental sciences
spellingShingle 40601 Geomorphology and Regolith and Landscape Evolution
FOS Earth and related environmental sciences
Draebing, Daniel
Mayer, Till
Jacobs, Benjamin
McColl, Samuel T.
Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
topic_facet 40601 Geomorphology and Regolith and Landscape Evolution
FOS Earth and related environmental sciences
description The data set comprises rock surface temperatures used to model permafrost distribution and frost weathering, and rockfall volume and location derived from terrestrial laserscanning. All data was collected in the Hungerli Valley, Swiss Alps.
format Dataset
author Draebing, Daniel
Mayer, Till
Jacobs, Benjamin
McColl, Samuel T.
author_facet Draebing, Daniel
Mayer, Till
Jacobs, Benjamin
McColl, Samuel T.
author_sort Draebing, Daniel
title Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
title_short Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
title_full Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
title_fullStr Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
title_full_unstemmed Alpine rockwall erosion patterns follow elevation-dependent climate trajectories
title_sort alpine rockwall erosion patterns follow elevation-dependent climate trajectories
publisher figshare
publishDate 2021
url https://dx.doi.org/10.6084/m9.figshare.17152481.v1
https://figshare.com/articles/dataset/Alpine_rockwall_erosion_patterns_follow_elevation-dependent_climate_trajectories/17152481/1
genre permafrost
genre_facet permafrost
op_relation https://dx.doi.org/10.6084/m9.figshare.17152481
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.17152481.v1
https://doi.org/10.6084/m9.figshare.17152481
_version_ 1766165532486139904