Metadata 4718

Wind, sediment transport and surface morphological data collected at Sand Creek during a month long field campaign in March and April 2019 to investigate protodune development under bimodal winds. Data is used in the accepted paper ‘Dune initiation in a bimodal wind regime’, Journal of Geophysical Research: Earth Surface, by Delorme, P., Wiggs, G.F.S., Baddock, M.C., Claudin, P., Nield, J.M. and Valdez, A. (accepted 18th September 2020, article reference number 2020JF005757R; https://repository.lboro.ac.uk...
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for a field of protodunes that developed on Brancaster Beach over a three hour period. As well as the TLS data, additional measurements of the wind speed through a 2D sonic and sediment transport on the beach and over a study protodune were collected using Wenglor fork sensors. Details on some of the methods can be found in Baddock et al. (2017; DOI: 10.1002/esp.4242). Grain size of sand on the protodune in 2016 is also in...
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for a field of protodunes that initiated and developed on a desert gravel interdune surface close to Helga's dune at Gobabeb, Namibia. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit.
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) for dry rippled and moist sandy surfaces in the Medano Creek area at Great Sand Dunes National Park, Colorado, USA. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer and sediment transport using a Sensit and Wenglor fork sensors.
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
This dataset includes raw point cloud data from repeat terrestrial laser scans (TLS) of rippled surfaces on barchan and dome dunes within the Huab Dune Field, Skeleton Coast National Park, Namibia. This raw data can be used to extract saltation height dynamics as well as 3D ripple data including celerity. As well as the TLS data, additional measurements of the wind speed through a CSAT 3D sonic anemometer or cup anemometer and sediment transport using a Sensit and Wenglor gate sensor.
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
2014 and 2016 time series of automatic weather station (AWS) data (Dataset 1) and (ii) GPS data (Dataset 2) at the location of the SAFIRE research project, Store Glacier, Greenland.
Metadata Contact: British Geological Survey, United Kingdom, Date Stamp: 2024-03-25
This digital soil map shows the geology 1 meter below surface, just beneath ploughing- and culture layers. The map is digitized from redrafted maps originating from fieldwork, where soil samples are collected using a charting spear in a 100 m grid throughout the country. This map is a result of systematic geological mapping, and is an ongoing effort.This version 4.0 from 2015 classifies 88 % of Denmark's area. The legend shows 82 different soil types. The map is used for research, in relation to environme...
Metadata Contact: Geological Survey of Denmark and Greenland (GEUS), Denmark, Date Stamp: 2021-06-16
The dataset has been created by combining, generalizing and vectorizing information from maps of bedrock and Quaternary sediments of at 1:200 000 and 1:50 000 scales. The areas depicted on the map correspond in age, genetic type and lithological composition to the sediments and rocks lying directly under the topsoil layer. In other words, the map shows the distribution and composition of Quaternary sediments, including small alvar areas with bedrock outcrops.
Metadata Contact: Geological Survey of Estonia, Estonia, Date Stamp: 2015-07-04
The dataset incorporating information about the surface geology of Finland is a seamless presentation of the surface geology depicting the distribution of both Quaternary and Pre-Quaternary deposits. Soil cover is omitted. The bedrock outcrops in the map of Superficial Geology at a scale of 1:1M are replaced by data from the Bedrock Map of Finland at a scale of 1:1M.
Metadata Contact: Geological Survey of Finland, Finland, Date Stamp: 2016-05-19
The dataset for the Surface Geology of Ireland at a scale of 1:1M was created by generalizing Quaternary mapping at a scale of 1:50 000 published by the GSI and incorporating information from 1:70 000 scale digital mapping of the subsoil by Teagasc.
Metadata Contact: Geological Survey of Ireland, Ireland, Date Stamp: 2016-06-01
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