Surface and Meteorological Data of Ripple and Saltation Dynamics at Medano Creek Area, Great Sand Dunes National Park, Colorado, USA on 5-11th April 2022 (NERC Grant NE/R010196/1)
Simple
- Date (Creation)
- 2023-10-04
- Maintenance and update frequency
- notApplicable notApplicable
- GEMET - INSPIRE themes, version 1.0
- BGS Thesaurus of Geosciences
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- Aeolian
- Laser surveys
- Aeolian sediments
- Aeolian environment
- dataCentre
- Keywords
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- NERC_DDC
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- licenceOGL
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
- Other constraints
- Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
- Spatial representation type
- vector Vector
- Metadata language
- EnglishEnglish
- Topic category
-
- Geoscientific information
- Geographic identifier
-
COLORADO [id=794000]
- Date (Creation)
- 1979
- Begin date
- 2022-04-05
- End date
- 2022-04-11
- Unique resource identifier
- WGS 84 (EPSG::4326)
- Distribution format
-
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Text file (TXT)
(
witheld
)
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Microsoft Excel
(
witheld
)
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Text file (TXT)
(
witheld
)
- OnLine resource
- Data ( WWW:DOWNLOAD-1.0-http--download )
- OnLine resource
-
Citation Information - Digital Object Identifier (DOI)
(
WWW:LINK-1.0-http--related
)
Nield, J.M., Baddock, M.C., Wiggs, G.F.S., Delorme, P., Valdez, A., Wallum, N., Goss, D. (2023). Surface and Meteorological Data of Ripple and Saltation Dynamics at Medano Creek Area, Great Sand Dunes National Park, Colorado, USA on 5-11th April 2022. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/738dc233-3bd7-4174-aa98-8c33fc35f344
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2011
- Explanation
- See the referenced specification
- Pass
- No
Conformance result
- Date (Publication)
- 2010-12-08
- Explanation
- See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF
- Pass
- No
- Statement
- Co-located Leica P20 and P50 TLS was used to collect the topographic and saltation height measurements. They scanned a 1 m square area with a resolution of 0.8 mm at 10 m. Both TLS have been placed in the same local coordinate system and orientated to the wind direction. Details on the specific scan times for each TLS are included in the dataset. The CSAT 3D sonic anemometer was positioned 0.24 m above the surface. The Wenglors were at heights of 0.02, 0.05, 0.115, 0.18 and 0.5 m. Modified Bagnold sand traps (4 in each run) were placed at 0 - 0.5 m in height above the surface to coincide with 1 or more scans - details of individual trap run times are included in the dataset. See Delorme et al. (2023; doi:10.1029/2022GL101553) for more details of similar methodology.
- File identifier
- 0781b6f7-7425-102e-e063-0937940a6840 XML
- Metadata language
- EnglishEnglish
- Hierarchy level
- dataset Dataset
- Date stamp
- 2026-05-06
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
- Dataset URI
- http://data.bgs.ac.uk/id/dataHolding/13608113
Overviews
Spatial extent
Provided by
NERC Data Catalogue Service