Energy Audits in Fisheries

For each monitored vessel trip of this study, raw-data were
stored at a rate of 1 s on hard disks and downloaded at the end of each audit or
vessel monitoring for data elaboration. First, a data cleansing process was
performed interactively with data wrangling tools, or as batch processing
through scripting in order to detect and correct corrupt or inaccurate records.
The inconsistencies detected may have been originally caused by corruption in
transmission or measurement instruments. Inaccuracy of a single measurement may
have been considered acceptable, and related to the inherent technical error of
the measurement instrument. Hence, data cleansing focused only on those errors
that are beyond small technical variations and that constitute a major shift
within or beyond the population distribution.

After cleansing, raw-data have been time-averaged at 10 s interval
to hold them in a Microsoft Access database. Routines have been finally written
specifically to export the time-averaged data into an elaborated ASCII file and
made available through this unrestricted repository at Figshare as a Comma-Separated Values (CSV)
file. The elaborated dataset comprises 15 fields, which collectively describe
the sailing or finding fish, and towing activities associated with the energy
consumption and fuel-related GHG emission. All field codes and definitions are
described in Table 3 (also available here),
so that to facilitate data re-use and re-processing. All raw-data are hosted at
CNR servers and they are freely available upon request.