Near-field TLS and SfM datasets from the 2016 central Italian Earthquake Sequence ( NERC grant NE/P018858/1)

Terrestrial laser scanning datasets (including GPS data for georeferencing), structure from motion datasets, and field photographs collected during the 2016 Central Italian Earthquake sequence. Data were collected from multiple localities to capture the co- and post- seismic near-fault deformation along the earthquake surface ruptures. See the scan_data.xlsx for individual details of each laser scan location, and readme.txt for a complete description. In each scan site folder you can find the unprocessed raw files and processed ascii files. Note, not all processed files are georeferenced.This is due to time constraints on field data collection. Georeferencing for these data can be achieved by point cloud matching to other georeferenced scans. Photos for structure from motion (SfM) datasets were collected with a Nikon camera. All original photos are provided. Field photographs taken in the aftermath of the 2016 Norcia Earthquake (30th October 2016, Mw6.6) are also provided. Relevant references are: Wilkinson, MW, KJW McCaffrey, RR Jones, GP Roberts, RE Holdsworth, LC Gregory, RJ Walters, LNJ Wedmore, H Goodall, F Iezzi (2017). Near-field fault slip of the 2016 Vettore Mw 6.6 earthquake (Central Italy) measured using low-cost GNSS. Scientific Reports 7: 4612. Walters, RJ, LC Gregory, LNJ Wedmore, TJ Craig, K McCaffrey, M Wilkinson, J Chen, Z Li, JR Elliott, H Goodall, F Iezzi, F Livio, AM Michetti, G Roberts, E Vittori (2018). Dual control of fault intersections on stop-start rupture in the 2016 Central Italy seismic sequence. Earth and Planetary Science Letters 500, 1-14. Wedmore, LNJ, LC Gregory, KJW McCaffrey, H Goodall, RJ Walters (in review). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Submitted to Geophysical Research Letters.
 
Citation proposal
. Near-field TLS and SfM datasets from the 2016 central Italian Earthquake Sequence ( NERC grant NE/P018858/1). https://metadata.bgs.ac.uk/geonetwork/srv/api/records/8497fa82-a36c-0e7c-e054-002128a47908

Simple

Date ( Creation )
2019
Identifier
http://data.bgs.ac.uk/id/dataHolding/13607433

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  Principal investigator

Maintenance and update frequency
notApplicable notApplicable
GEMET - INSPIRE themes
  • Geology
BGS Thesaurus of Geosciences
  • Earthquakes
Keywords
  • NERC_DDC
Access constraints
otherRestrictions Other restrictions
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
Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk ) for advice, should the position not be clear.
Metadata language
English English
Topic category
  • Geoscientific information
Geographic identifier
CENTRAL ITALY [id=287500]

 

Date ( Creation )
1979

N
S
E
W


Reference system identifier
OGP / GEOG

 

Date ( Revision )
2005

Distribution format
  • RiSCAN ()

  • ascii text files ()

  • jpeg ()

OnLine resource
https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item126414  
Hierarchy level
dataset Dataset
Other
dataset

Conformance result

Date ( Publication )
2011
Explanation
See the referenced specification
Pass
false

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
false
Statement
All data were collected with a Reigl VZ1000 terrestrial laser scanner. All georeferencing was achieved using a differential GPS. Horizontal Coordinates: WGS 84 / UTM zone 33N [EPSG: 32633] Vertical Coordinates: WGS84 Ellipsoid [EPSG: 7030] Unprocessed, raw files, are in Reigl proprietary format. Ascii files are tab delimited and list the X,Y,Z coordinates of the points followed by a laser return intensity value. GPS data files are provided in RINEX format in a separate folder. Photos for SfM were processed in Agisoft. The processed point cloud is also provided.

gmd:MD_Metadata

File identifier
8497fa82-a36c-0e7c-e054-002128a47908   XML
Metadata language
English English
Hierarchy level
dataset Dataset
Date stamp
2021-01-14
Metadata standard name
UK GEMINI
Metadata standard version
2.3

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Dataset URI
http://data.bgs.ac.uk/id/dataHolding/13607433
 
 

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