NOBEL-BOX: Development of a Low-Cost Ship-Based Instrument for Ocean Monitoring.

This research aims to develop an inexpensive ocean observation instrument with the project name NOBEL (Nusantara Oceanography Backdoor Experiment Laboratory)-BOX. The device can be installed on all types of vessels for mapping the water conditions, providing accurate data for managing a marine area, particularly regarding water quality. The principle of NOBEL-BOX is to attach six sensors in a container connected to a microcontroller and then measure specific data directly and automatically. The methodology employed included experimental design, laboratory and field tests, and data evaluation to develop the necessary system and instruments. The design process encompassed the construction of the instrument and the fabrication, involving the creation of three-dimensional drawings and the design of microcontrollers and data transmission systems and power capacity. This instrument is box-shaped with a microcontroller, sensors, a battery, and cables located inside. The testing phase included data validation, testing of the device in the laboratory, and field testing showed that the device worked. The data provided from this instrument could meet the specific criteria for seawater analysis.

Oceanography dataset in Bonpies archipelago as remote island in Java Seas, Indonesia.

The oceanographic data presented in this article were collected in the Bonpies island, as part of the Java Seas. The data were collected by in-situ measurement from several expeditions from 2011 to 2016. The data presented here include bathymetry, sea surface temperature (SST), sea surface salinity (SSS), ocean transparency, dissolved oxygen, and pH. All data were collected by daily in-situ measurements in different seasons. There were 5768 data measured from several portable instruments, including echo-sounder and portable instruments. Calibration of the instrument was carried out before and after the survey in accordance with the protocol provided by the manufacturer. Measurements are made directly and recorded into a log sheet paper and the data format is Comma Separated Files (.csv). This in-situ data would be most useful for regional climate studies, including forecasting such as El Nino and Indian Ocean Dipole effects, oceanographic condition, and marine resources management.