Global / Oceans | Pacific Ocean
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This data collection contains water column observations from CTD probes and water bottles deployed by the National Institute of Water and Atmospheric Research (NIWA) and its predecessor, the New Zealand Oceanographic Institute. A variety of instruments where used in this dataset, including: Sea-Bird SBE 911Plus CTD
Dataset contains vertical profiles of depth, temperature and salinity measured by SBE-19 and SBE-25 Conductivity, Temperature and Depth (CTD) probes between 2000/02/14 and 2020/11/23 at a station (45.833°S 171.500°E) in Subantarctic Surface Water (SASW) east of New Zealand from bi-monthly cruises of the R/V Munida and R/V Polaris II on the Munida time series transect.
The data set comprises physical oceanographic measurements made in support of a PhD program investigating the environmental sustainability of large scale mussel aquaculture within the Bay of Plenty continental shelf, New Zealand.
CTD data collected during Marta Guerra's PhD project 'Foraging ecology of sperm whales at Kaikōura'. Time coverage: 30-May-2015 to 2-Jan-2018, including autumn/winter field season ('winter', May-July) and spring/summer field season ('summer', Nov-Jan), with a total of 3 winters and 3 summers. CTD casts collected daily (weather permitting) throughout the duration of each field season (each field season lasted typically 8 weeks). Spatial coverage: study area centered over the Kaikōura Canyon. Approximate area: from Kaikōura peninsula, extending out to 12 nautical mile offshore navigational limit to the East and Southeast, and extending 15 nautical miles from the Kaikōura peninsula to the South. CTD carried out over seafloor depths of c. 200m to c. 1500m. Measured variables: temperature, salinity, chlorophyll-a concentration. CTD depths: variable, down to a maximum of 550 m. Instrument type: Winter 2015 = CTD Seabird scientific SBE-19, with WET-Star fluorometer. Maximum depth = 100m. Sampling frequency = 4 Hz. All other seasons = CTD RBR-concerto, with Turner Designs Cyclops-7 fluorometer. Maximum depth = 550m. Sampling frequency = 4 Hz. Platform type: hand-hauling from 6m outboard-powered vessel 'RV Grampus'. Quality control: data were deleted from the processed files when there was a known malfunction with one of the sensors. The processed files also had the upcast deleted from them, as well as the measurements in air, and acclimatisation period at the surface (1 minute since submersion). For more details on the original research project, access PhD thesis here: http://hdl.handle.net/10523/9189 ** NB. If you use these data, please include the following acknowledgements: Data collection and processing - Marta Guerra; Funding - New Zealand Whale and Dolphin Trust, Whale Watch Kaikoura, University of Otago, Ministry of Primary Industries.
This data collection contains observations from CTD sensors attached fisheries trawls deployed by the National Institute of Water and Atmospheric Research (NIWA) and funded by the Ministry of Primary Industries. Data was sourced from SeaBird MircoCAT SBE 37 instruments which were attached to the headlines of trawl nets as part of fisheries research programs. The data is processed using the SBE Data Processing software and only the downcast of the cast is retained (because of the turbulence of the water generated by the trawl gear once the trawl is underway. Measured variables are temperature, depth, and salinity. The sensors on the CTD are all regularly calibrated by the manufacturer, but data are not calibrated in-situ.
This data collection contains observations from moored instruments primarily from New Zealand and Antarctic waters deployed by the National Institute of Water and Atmospheric Research (NIWA) and its predecessor the DSIR. Data was sourced from a range of instrumentation over many decades, with primary measured variables including temperature, pressure, salinity, and current speed/direction. More recently, other chemical and biological variables may be found within data records. Data quality checking is variable but mostly quality controlled to remove bad data using visual checks on records – see individual un-subsetted files for specific information relating to contained data.