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Buffalo Cave Flowstone - Annual Laminae (NERC grant NE/J00443X/1)

Annual lamina thickness (microns), lamina count, and age model (Ma, years) for the Early Pleistocene (Lines 1 and 2) and early Holocene speleothems from Buffalo Cave, South Africa. The samples, methods and results are described in full in: Hopley, P. J. et al. (2018) Orbital precession modulates interannual rainfall variability, as recorded in an Early Pleistocene speleothem. Geology. DOI:10.1130/G45019.1

Simple

Date (Creation)
2018-06-26
Identifier
http://data.bgs.ac.uk/id/dataHolding/13607346
Point of contact
  Birkbeck, University of London - Dr Philip Hopley ( Department of Earth and Planetary Sciences )
Malet Street , London , WC1E 7HX ,
Principal investigator
  Birkbeck, University of London - Dr Philip Hopley ( Department of Earth and Planetary Sciences )
Malet Street , London , WC1E 7HX ,
Maintenance and update frequency
notApplicable notApplicable
GEMET - INSPIRE themes, version 1.0
  • Geology
BGS Thesaurus of Geosciences
  • Pleistocene
  • NGDC Deposited Data
  • Speleothems
  • Lamination
dataCentre
  • NGDC Deposited Data
Keywords
  • NERC_DDC
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Other constraints
The dataset is made freely available for access, e.g. via the Internet. Either no third party data / information is contained in the dataset or BGS has secured written permission from the owner(s) of any third party data / information contained in the dataset to make the dataset freely accessible.
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]"
Metadata language
EnglishEnglish
Topic category
  • Geoscientific information
Geographic identifier
SOUTH AFRICA [id=670000]

Date (Creation)
1979

Geographic identifier
ZA

Date (Revision)
2009

Geographic identifier
ZAF

Date (Revision)
2009

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Begin date
2011-09-01
End date
2014-09-01

Reference System Information

No information provided.
Distribution format
  • Text file ()

OnLine resource
http://www.bgs.ac.uk/services/ngdc/accessions/index.html#item111329
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
Speleothems were imaged on a Leica SP2 confocal microscope using an oil immersion objective lens. Individual images of 1024 x 1024 pixels at 2x zoom were acquired over the entire length of the speleothems by 3 microscope fields in the y axis. The Leica LCS software automatically stitched all the image frames to produce a montage of both samples. Laser excitation wavelengths of 488 nm and 515 nm were used to detect the autofluorescence of the organic matter with emission detection set to 540 – 680 nm; pixel resolution was 0.183 µm. Greyscale line profiles were produced for each photomosaic using the image processing software ImageJ and imported into Matlab. The laminae were measured and counted using the automated peak-counting algorithm of Smith et al. (2009). Age models were produced using a combination of magnetostratigraphy, orbital tuning and U-Th dating (see Hopley et al., 2018).
File identifier
6f9e75e7-993e-620d-e054-002128a47908 XML
Metadata language
EnglishEnglish
Hierarchy level
dataset Dataset
Date stamp
2025-11-13
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  British Geological Survey
Environmental Science Centre,Keyworth , NOTTINGHAM , NOTTINGHAMSHIRE , NG12 5GG , United Kingdom
+44 115 936 3100
Dataset URI
http://data.bgs.ac.uk/id/dataHolding/13607346
 
 

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