Description
Summary:Australian Antarctic Data Centre Note 2018-07-04: Original datasheet was reformatted to fit GBIF/IPT Biodiversity.AQ standard. The new datasheet "blueWhales2013.csv" provides the dataset ID, organism Quantity, organism Quantity type, record number, material sample ID, preparation, water body, event day, verbatim latitude and longitude, decimal latitude and longitude, sex, occurrence, and basis of record. The taxonomical organisation is provided to the lowest taxonomical rank that could be determined, after matched in WoRMS (World Register of Marine Species). Data contains information from report. Biopsy samples (small amounts of skin and blubber) were collected from humpback and blue whales during the Antarctic blue whale voyage 2013. For more information please see: http://www.marinemammals.gov.au/sorp/antarctic-blue-whale-project This dataset consists of an access database summarising biopsy events containing the fields: Pod: a combination of date and where the biopsy was taken from (small boat - Remora, or main vessel - Amaltal Explorer) Ship reference: sighting number Number of individuals sighted Age class and sex Satellite tag number Biopsy sample number Biopsy collection location (longitude and latitude) Biopsy collection time (UTC) Reaction to biopsy Number of biopsy attempts Photo ID images Biopsy collection photo Comments An excel spreadsheet (Biopsy_info_ ABWV2013.xlsx) details the biopsy processing that occurred upon collection of a sample. Where possible, each blue whale sample was split and preserved in 2 x All Protect, 1 x EtOH and 1 x Nitrogen. Each humpback sample was additionally preserved in RNA later and stored at -20 degrees Celsius and individually detailed in spreadsheet Biopsy_info _ABWV2013(hbw).xlsx. Biopsy samples were processed to determine sex and relatedness using DLOOP analysis and the results are held in: 240513 BW Sexing Results.xls Genetic tagging from biopsy samples is a well established method that enables the identification of individuals from genetic markers such as microsatellite or SNPs. This individual identification allows the production of sightings histories required for a mark-recapture approach to estimating abundance. Genetic data can also be used assess population structure.