Saving HEBBLE Data from Oblivion: From Faded Paper Copy to Digital Files
Abstract
The high-energy benthic boundary-layer experiment (HEBBLE) was designed to test the hypothesis that bed modifications can result from contemporary local erosion and deposition. We observed several 'benthic storms' that resuspended record-high concentrations of particulate matter - filtered samples up to 12,700 µg/l. High kinetic energy and near-bed flow were associated with these record-high concentrations of particulate matter at 4,9600 m off the Nova Scotian Rise in the north-west Atlantic, showing that large episodic events resuspend bottom sediments in deep ocean areas. As part of HEBBLE, CTD/Transmissometer data were collected in the late 1970's and early 1980's, including more than 40 stations on cruise KN74. Although many papers were published based on HEBBLE data, no electronic copies of the KN74 CTD/Transmissometer data were preserved. Because of the uniqueness of the record-high particulate matter concentrations, with ambient current velocities of >70 cm/sec near the seafloor, it was important to rescue these data. We had a paper printout of all of the digital CTD data. Attempts to scan and apply OCR to the data proved futile with standard copying/scanning machines. Texas A&M University Library Digital Service Center scanned our copies with a SupraScanQuartzA00-CamQuartzHD scanner and used ABBYY Fine Reader for OCR and PDF, more frequently used in the humanities for digital preservation and conservation. Their scans were markedly better, but still contained many errors because of poor quality originals. Two students were hired to QA/QC the hundreds of pages of data. While tedious, they successfully corrected the data, thus making it possible to make maps and sections shown here and submit data to publicly accessible archives for future generations to use. These data reside in the OAKTrust Digital Repository at Texas A&M University. After final QA/QC these data will be submitted to NCEI and will be merged with World Ocean Database (WOD).
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFMIN23D0117M
- Keywords:
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- 1912 Data management;
- preservation;
- rescue;
- INFORMATICS;
- 1916 Data and information discovery;
- INFORMATICS;
- 1934 International collaboration;
- INFORMATICS