Aggregated Beaufort Sea benthic infauna data from the National Oceanographic Data Center (NODC), 1971-1980

• Main Authors: Kenneth Dunton, Tim Whiteaker
• Format: Dataset
• Language: unknown
• Published: Research Workspace
• Subjects: OCEAN > ARCTIC OCEAN > BEAUFORT SEA; In Situ/Laboratory Instruments > Samplers > Grabbers/Traps/Collectors > GRAB SAMPLERS; benthic invertebrates; Arctic shelf; infauna; Beaufort Sea; data rescue; North Pacific Research Board; NODC (now NCEI); Arctic; Arctic Ocean; Pacific
• Online Access: https://search.dataone.org/view/10.24431_rw1k57y_20210429T184836Z

These data were originally collected in the 1970s and early 1980s, and archived at NODC in a text format whose column-based structure varies depending on the data record type represented by a given line of text. These text files were parsed using Python code which splits the data into separate files according to record type, and stores the data in comma-separated values format. Inputs to the Python code include the original data file, CSV files with information on how to parse each record type within the data file, and any lookups required to interpret the data, such as transforming an equipment code of "8" into "EKMAN GRAB". The CSV files with information on how to parse each record type were created by referencing parsing instructions provided by NCEI. If a given record type is not included in the actual data, then no output files for that record type are created. This project includes a readme file, original data files from prior investigators, code lookups, CSV files of parsing instructions, optional files created by splitting original data files into separate files by record type, output CSV files created by parsing original data files into separate files by record type, and Python scripts to perform the parsing. The output CSV files represent the dataset produced from this work. Parsing instructions for original data files as well as data codes can be found at https://www.nodc.noaa.gov/access/dataformats.html. Taxon identifiers from the Integrated Taxonomic Information System can be included in the output by the parsing code; full taxonomic information for these identifiers can be retrieved from the ITIS website, https://itis.gov/.