Scanned data logs, ship logs and reports from the ADBEX III voyage of the Nella Dan, October to December, 1985
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The dataset contains scanned copies of a number of logs, reports and documents from the Antarctic Division Biomass Experiment III( ADBEX III) voyage of the Nella Dan from October to December, 1985. The documents cover CTD data, cell count graphs, acoustic logs, ship logs, and other files. The dataset download contains the following files: ADBEX 3 CTD.pdf CTD Log ADBEX 3 Electronics Lab CTD Unit.pdf Master Station Log - Vol 1 ADBEX 3.pdf ND0018586 ADBEX 3 Acoustic Log Book 1 of 2 Copy 3.pdf ND0018586 ADBEX 3 Acoustic Log Book 2 of 2 Copy 2.pdf ADBEX 3 CTD Cell Count Graphs.pdf
ADCP data collected during the SAZ-SENSE voyage, January-February 2007
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Metadata record for data from ASAC Project 2720 See the link below for public details on this project. The overall objective is to characterise Southern Ocean marine ecosystems, their influence on carbon dioxide exchange with the atmosphere and the deep ocean, and their sensitivity to past and future global change including climate warming, ocean stratification, and ocean ... acidification from anthropogenic CO2 emissions. In particular we plan to take advantage of naturally-occurring, persistent, zonal variations in Southern Ocean primary production and biomass in the Australian Sector to investigate the effects of iron addition from natural sources, and CO2 addition from anthropogenic sources, on Southern Ocean plankton communities of differing initial structure and composition. These samples were collected on the SAZ-SENSE scientific voyage of the Australian Antarctic Program (Voyage 3 of the Aurora Australis, 2006-2007 season). SAZ-SENSE VOYAGE AU0703 ADCP DATA The complete ADCP data for cruise au0703 are in the files: au070301.cny (ascii format) a0703dop.mat (matlab format) The "on station" ADCP data (specifically, the data for which the ship speed was less than or equal to 0.35 m/s) are in the files: au0703_slow35.cny (ascii format) a0703dop_slow35.mat (matlab format) The file bindep.dat shows the water depths (in metres) that correspond to the centre of each vertical bin. The data are 30 minute averages. Each 30 minute averaging period starts from the time indicated. (so, e.g., an ensemble with time 120000 is the average from 120000 to 123000). ADCP currents are absolute - i.e. ship's motion has been subtracted out. Note that the top few bins can have bad data from water dragged along by the ship. Beware of data when the ship is underway - it's often suspect. Important data quality information can be found in the data report referenced above. The figure a0703difship30.eps shows the speed difference between vertical bin 2 and all other bins, where the data have been divided up into different speed classes for ship speed. The apparent vertical shear for bins ~1-10, and below bin ~40, is an error, possibly due to acoustic ringing from an air/water interface in the seachest. Data where ship speed is 0 to 1 m/s does not show this error.
2007-08 V3 CEAMARC-CASO Bathymetry Plots Over Time During Events
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A routine was developed in R ('bathy_plots.R') to plot bathymetry data over time during individual CEAMARC events. This is so we can analyse benthic data in relation to habitat, ie. did we trawl over a slope or was the sea floor relatively flat. Note that the depth range in the plots is autoscaled to the data, so a small range in depths appears as a scatetring of points. As long as you look at the depth scale though interpretation will be ok. The R files need a file of bathymetry data in '200708V3_one_minute.csv' which is a file containing a data export from the underway PostgreSQL ship database and 'events.csv' which is a stripped down version of the events export from the ship board events database export. If you wish to run the code again you may need to change the pathnames in the R script to relevant locations. If you have opened the csv files in excel at any stage and the R script gets an error you may need to format the date/time columns as yyyy-mm-dd hh;mm:ss, save and close the file as csv without opening it again and then run the R script. However, all output files are here for every CEAMARC event. Filenames contain a reference to CEAMARC event id. Files are in eps format and can be viewed using Ghostview which is available as a free download on the internet.