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Dr. Christopher Jenkins of the University of Colorado Institute for Arctic and Alpine
Research (INSTAAR), produced this data hypercube derived from the prime data (exclusive
of G.R.A.P.E. and logging data) of the Deep Sea Drilling Project (DSDP). The Deep-Sea
Drilling Project legacy data on the lithologies and physical properties of core recoveries
is reprocessed into a uniformly formatted, integrated dataset which can be worked
on in a wide range of software applications for query, analysis, mapping and visualization.
The goal is to create a dataset which is able to be used efficiently across many science
disciplines, especially in the fields of global change, ocean management and earth
sciences research. The hypercube data model allows scientists and others to easily
comprehend and work with the data layout and content. The integration has employed
methods of standardization, linguistic parsing, error trapping, uncertainty analysis,
and presentation that have developed and been validated over a decade of use in dbSEABED,
for marine ecology, resources, engineering, research and survey. Nevertheless integration
of the DSDP dataset has been challenging, not all the DSDP data could be treated successfully. |