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CC BY-NC V4.0, Open Access
CC BY-NC V4.0, Open Access
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Dataset
The central Great Barrier Reef as a net source of climatically-relevant biogenic volatile organic compounds
Southern Cross University
10/2024
DOI:
https://doi.org/10.25918/data.410
Metrics
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Abstract
This dataset regroups part of the data collected during the first comprehensive baseline survey for the Cooling and Shading subprogram of the Reef Restoration and Adaptation Program (RRAP) that was conducted in the Central Great Barrier Reef, 100km off the coast of Townsville, during the early (December) and late (February) austral summer of 2021-2022. This dataset comprises:
1. the sampling time (local time: UTC + 10h),
2. wind direction, relative humidity, air temperature, dewpoint, light intensity, latitude and longitude measured by a Maximet Gill weather station;
3. sea-surface temperature (SST) and sea-surface salinity (SSS) measured by a vanEssen mini-CTD-Diver,
4. vertical wind velocity outputted from a Campbell Scientific sonic anemometer,
5. tide data for Townsville obtained from the Australian bureau of meteorology portal
6. atmospheric and dissolved concentrations of all biogenic volatile organic compounds (BVOCs) that were measured using a proton-transfer-reaction quadrupole mass spectrometer (Ionicon Analytik). The resulting flux estimates of all BVOCs, which were determined using a bulk flux approach following the numerical scheme proposed by Johnson et al. (2010), are also provided.
Details
- Title
- The central Great Barrier Reef as a net source of climatically-relevant biogenic volatile organic compounds
- Creators
- Elisabeth Deschaseaux (Corresponding Author) - Southern Cross UniversityE. Dunne (Author) - Commonwealth Scientific and Industrial Research OrganisationKai G Schulz (Author) - Southern Cross UniversityBradley D Eyre (Supervisor) - Southern Cross UniversityDaniel Patrick Harrison (Supervisor) - Southern Cross University
- Publisher
- Southern Cross University
- Identifiers
- 991013224112802368
- Academic Unit
- Faculty of Science and Engineering; National Marine Science Centre; Science
- Language
- English
- Resource Type
- Dataset