Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Weber, Michael E; Reichelt, Lucia; Kuhn, Gerhard; Pfeiffer, Miriam; Korff, Björn; Thurow, Juergen W; Ricken, Werner (2010): Automated Tools for Layer Recognition (BMPix) and Counting (PEAK). PANGAEA, https://doi.org/10.1594/PANGAEA.729700, Supplement to: Weber, ME et al. (2010): BMPix and PEAK tools: New methods for automated laminae recognition and counting-Application to glacial varves from Antarctic marine sediment. Geochemistry, Geophysics, Geosystems, 11(3), Q0AA05, https://doi.org/10.1029/2009GC002611

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
We present tools for rapid and quantitative detection of sediment lamination. The BMPix tool extracts color and gray-scale curves from images at pixel resolution. The PEAK tool uses the gray-scale curve and performs, for the first time, fully automated counting of laminae based on three methods. The maximum count algorithm counts every bright peak of a couplet of two laminae (annual resolution) in a smoothed curve. The zero-crossing algorithm counts every positive and negative halfway-passage of the curve through a wide moving average, separating the record into bright and dark intervals (seasonal resolution). The same is true for the frequency truncation method, which uses Fourier transformation to decompose the curve into its frequency components before counting positive and negative passages.
We applied the new methods successfully to tree rings, to well-dated and already manually counted marine varves from Saanich Inlet, and to marine laminae from the Antarctic continental margin. In combination with AMS14C dating, we found convincing evidence that laminations in Weddell Sea sites represent varves, deposited continuously over several millennia during the last glacial maximum.
The new tools offer several advantages over previous methods. The counting procedures are based on a moving average generated from gray-scale curves instead of manual counting. Hence, results are highly objective and rely on reproducible mathematical criteria. Also, the PEAK tool measures the thickness of each year or season. Since all information required is displayed graphically, interactive optimization of the counting algorithms can be achieved quickly and conveniently.
Other version:
Weber, Michael E (2012): Automated Tools for Layer Recognition (BMPix) and Counting (PEAK). Version 2 of the software as of February 2012. Institute of Geology and Mineralogy, University of Cologne, PANGAEA, https://doi.org/10.1594/PANGAEA.775955
Funding:
German Research Foundation (DFG), grant/award no. 5472008: Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas
Comment:
This is version 1 of the software as published in 2010. It contains 3 macro files (excel) and a read-me file (pdf) in a zip-archive. To download the updated version 2 of the software as of February 2012, see "Other version".
Size:
1.5 MBytes

Download Data

Download dataset