From the abstract of the referenced paper: Randomly amplified polymorphic DNA markers (RAPDs) were applied in a cephalopod population study. Samples of the squid Moroteuthis ingens taken from around the Falkland Islands and Macquarie Island were used to test a null hypothesis that M. ingens forms a single, panmictic population in the Southern Ocean. Six of the 8 arbitrary RAPD primers screened produced a total of 30 reproducible polymorphic bands. Analysis of RAPD allele frequencies demonstrated high levels of variation between individuals but little variation between two sample sites. Although the differentiation between the two sites was low, subtle population structure was detected and the null hypothesis was rejected. The implications of low genetic differentiation between the two sites are briefly discussed in terms of possible egg and para-larval drift facilitated via the circumpolar current. The PDF document available for download also includes a number of data tables. See also ASAC project 1242 (ASAC_1242), Biology of Southern Ocean squid, ecological importance and potential commercial implications - a preliminary assessment.

This spreadsheet provides the sequences counts for the DNA groups found in the scats of black-browed albatross at New Island and Steeple Jason Island, Falkland Islands; Diego Ramírez and Albatross Islet, Chile; Bird Island, South Georgia; Canyon des Sourcils Noirs, Kerguelen Archipelago, France; Macquarie Island, Australia; and Campbell albatross at Campbell Island, NZ. Scat samples were collected in 2013/14 and 2014/15 at New Island, Steeple Jason Island, Macquarie Island, Campbell Island and Bird Island; in 2013/14 and 2015/16 at Kerguelen; in 2014/15 and 2015/16 at Albatross Islet and in 2013/14 at Diego Ramírez. Samples were collected during Incubation (Oct-Nov), early chick-rearing (Dec-Jan) or late-chick rearing (Feb-Mar). Due to the availability of birds at the colony, samples were predominantly collected from adults during incubation and early chick-rearing and chicks during late chick rearing. Samples sizes were too low during this study to directly compare dietary differences between chicks and adults; however, dietary comparisons between breeding stages were examined for sites where samples were collected during multiple breeding stages. Samples were PCR amplified with a universal metazoan primer set that is highly conserved and amplifies a region of the nuclear small subunit ribosomal DNA gene (18S rDNA). Details of the molecular methods and synthesis of this data can be found in: McInnes, J.C., Alderman, R., Raymond, B., Lea, M-A., Deagle, B., Catry, P., Gras, M., Phillip, R.A., Stanworth, A., Suazo, C., Thompson, D., Weimerskirch, H., Gras. M., and Jarman, S.N. High occurrence of jellyfish predation by black-browed and Campbell albatross identified by DNA metabarcoding. Molecular Ecology.

The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. This metadata record pertains to the "standardized" version of the data files. These files contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations). Original data files have been converted to a common format and quality-checking applied, but have not been further filtered or interpolated. Periods at the start or end of deployments were identified and discarded if there was evidence that location data during these periods did not represent the animals' at-sea movement. For example, tags may have been turned on early (thereby recording locations prior to their deployment on animals) or animals may have remained at the deployment site, e.g. the breeding colony, for an extended period at the start or end of the tag deployment. Some tracks also showed a marked deterioration in the frequency and quality (for PTTs) of location estimates near the end of a track. Such locations were visually identified based on maps of each track in conjunction with plots of location distance from deployment site against time. This information is captured in the location_to_keep column appended to each species’ data file (1 = keep, 0 = discard). The code used to trim the tracks can be found in the https://github.com/SCAR/RAATD repository. This data set comprises one metadata csv file that describes all deployments, along with data csv files (17 files, one per species) containing the position data. For details of the file formats, consult the data paper. The data are also available in a filtered version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018) that have been processed using a state-space model in order to estimate locations at regular time intervals.

The Retrospective Analysis of Antarctic Tracking Data (RAATD) is a Scientific Committee for Antarctic Research (SCAR) project led jointly by the Expert Groups on Birds and Marine Mammals and Antarctic Biodiversity Informatics, and endorsed by the Commission for the Conservation of Antarctic Marine Living Resources. The RAATD project team consolidated tracking data for multiple species of Antarctic meso- and top-predators to identify Areas of Ecological Significance. These datasets constitute the compiled tracking data from a large number of research groups that have worked in the Antarctic since the 1990s. This metadata record pertains to the "filtered" version of the data files. These files contain position estimates that have been processed using a state-space model in order to estimate locations at regular time intervals. For technical details of the filtering process, consult the data paper. The filtering code can be found in the https://github.com/SCAR/RAATD repository. This data set comprises one metadata csv file that describes all deployments, along with data files (3 files for each of 17 species). For each species there is: - an RDS file that contains the fitted filter model object and model predictions (this file is RDS format that can be read by the R statistical software package) - a PDF file that shows the quality control results for each individual model - a CSV file containing the interpolated position estimates For details of the file contents and formats, consult the data paper. The data are also available in a standardized version (see https://data.aad.gov.au/metadata/records/SCAR_EGBAMM_RAATD_2018_Standardised) that contain position estimates as provided by the original data collectors (generally, raw Argos or GPS locations, or estimated GLS locations) without state-space filtering.