  Current needs of nuclear science and technology include complete,
well-documented, and easily verifiable nuclear data. The complete data records
require supporting nuclear bibliography, presently stored in dedicated
libraries, in addition, to actual data. Experimental nuclear reaction data
(EXFOR) and Nuclear Science References (NSR) databases contain compilations
based on primary (journals) and secondary (conference proceedings, theses,
preprints, etc.) publications, and data received from authors via private
communications. The secondary library materials and private communications
often represent a bottleneck for nuclear data verification, compilation,
evaluation, and dissemination activities. To address this issue, bibliographic
materials were scanned into PDF (Portable Document Format) files and uploaded
in a relational database. The traditional scope of nuclear databases that
includes meta-data and numbers derived from data in specialized formats was
broadened to accommodate the large volumes of original nuclear data
publications. The complete PDF publication files were stored in a relational
database as Binary Large OBjects (BLOB). This unique collection of nuclear data
compilations and supporting publications generate many opportunities for
machine learning applications.
