Please note that this is a staging site.
4 datasets found Page 1 of 1
DOI: 10.15493/DEA.MIMS.08092025
Benthic‑bycatch dataset from Prince Edward and Marion Islands longline fisheries (2009‑2023)

This dataset presents a time series of benthic invertebrate bycatch records collected during pelagic longline fishing operations targeting Patagonian toothfish (Dissostichus eleginoides) in the Prince Edward Islands region of the sub-Antarctic Southern Ocean from 2009 to 2023. The data were obtained from independent scientific observers aboard commercial vessels in accordance with Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) Conservation Measure 22-06, which mandates the reporting of taxa associated with Vulnerable Marine Ecosystems (VMEs). Each record includes an entry number, observer segment unique identifier, vessel unique identifier, observer logbook number, year the record was collected, line segment number, taxonomic code as given in 2009 CCAMLR VME guide, associated taxonomic name, bycatch weight at random segments per fishing line/set, gear type used, number of fishing hooks used at the specific segment, and anonymous vessel number. The...

DOI: 10.15493/DEA.MIMS.08092025
Benthic‑bycatch dataset from Prince Edward and Marion Islands longline fisheries (2009‑2023)

This dataset presents a time series of benthic invertebrate bycatch records collected during pelagic longline fishing operations targeting Patagonian toothfish (Dissostichus eleginoides) in the Prince Edward Islands region of the sub-Antarctic Southern Ocean from 2009 to 2023. The data were obtained from independent scientific observers aboard commercial vessels in accordance with Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR) Conservation Measure 22-06, which mandates the reporting of taxa associated with Vulnerable Marine Ecosystems (VMEs). Each record includes an entry number, observer segment unique identifier, vessel unique identifier, observer logbook number, year the record was collected, line segment number, taxonomic code as given in 2009 CCAMLR VME guide, associated taxonomic name, bycatch weight at random segments per fishing line/set, gear type used, number of fishing hooks used at the specific segment, and anonymous vessel number. The...

DOI: 10.15493/dea.mims.26500019
Carbonate chemistry time-series from discrete sampling at thirteen sites in Algoa Bay, South Africa, 2018 - 2020

Coastal monthly carbonate chemistry data and other associated physico-chemical parameters from Algoa Bay, on the temperate south coast of South Africa. Eight offshore and five inshore sites were sampled. Temperature, salinity and dissolved oxygen were measured at each offshore site, and temperature was measured at each inshore site. At each offshore and inshore site, a single sea water sample was collected at the surface for later analysis of pH and total alkalinity (TA) in the laboratory. Remaining parameters of the carbonate system (including pCO2) were calculated in the software program CO2SYS (Lewis and Wallace, 1998) using pH and TA as input parameters. Temperature, salinity, silicate and phosphate concentrations were included in the calculations as supplemental data which may influence carbonate speciation.

DOI: 10.15493/dea.mims.26500019
Carbonate chemistry time-series from discrete sampling at thirteen sites in Algoa Bay, South Africa, 2018 - 2020

Coastal monthly carbonate chemistry data and other associated physico-chemical parameters from Algoa Bay, on the temperate south coast of South Africa. Eight offshore and five inshore sites were sampled. Temperature, salinity and dissolved oxygen were measured at each offshore site, and temperature was measured at each inshore site. At each offshore and inshore site, a single sea water sample was collected at the surface for later analysis of pH and total alkalinity (TA) in the laboratory. Remaining parameters of the carbonate system (including pCO2) were calculated in the software program CO2SYS (Lewis and Wallace, 1998) using pH and TA as input parameters. Temperature, salinity, silicate and phosphate concentrations were included in the calculations as supplemental data which may influence carbonate speciation.

4 datasets found Page 1 of 1

Geographic extent

Temporal extent