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.