| Summary: | Progress Code: completed Statement: Data between dates 2006-02-03 and 2006-02-04 are not available because of rough weather conditions. Due to shift work ship based sorting was only done on night shift. Abundance determined from short ship based sorting periods so are not absolute. Data acquisition: Samples were collected using a 1.5 metre diameter Ring net (150 micron metre mesh) with a wide cod-end on the base (volume approximately 40 Litres). Vertical trawls were to 20 m (unless otherwise specified). Deployment speed was determined by wave conditions with hauling speed at slowest possible speed available by the gantry (approximately than 2 meters per second). The net was rinsed with sea water before the cod-end was removed and the contents determined by observing a sub-sample under the light microscope. Appendicualrians were separated and preserved while the remaining contents of the cod-end were sieved through 120 micrometre mesh and preserved to be sorted more accurately on return to the laboratories. The appendicularians were quantified and sorted under light microscopes with additional randomly selected individuals being prepared for Scanning Electron Microscopy (SEM) imaging to enable identification to species level and some Oikopleura gaussica stomach's where dissected for SEM dietary analysis. Data processing: Data are being processed using 'statistica 6' (and possibly PRIMER or PATN) to determine correlations with physical parameters obtained from underway data, the CTD and the microbial biologist. Dataset Format: Database is an excel spreadsheet Parameters: Leg - identification number of southern bound legs Event number - deployment number Station - leg number . sample point number CTD - number of corresponding CTD (conductivity, Temperature Depth sample point) Date - date/month/year Time (UTC) Latitude Longitude NET (mesh (micro meters) type) - Net type and mesh size in micro meters (150) DEPTH (m) - vertical trawl depth # APPENDICULARIANS - count of appendicularians from ship and laboratory ...
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