Fieldwork was undertaken on Voyage 7 of 1997/98 season (April/May 1998) aboard Aurora Australis. The plan was to repeat the transect sampled in September 1996 to investigate seasonal differences between Spring and Autumn. We anticipated being able to sample further south on this voyage because the ice would be at close to its minimum extent. Sixteen stations were successfully sampled with the MIDOC multiple opening/closing net at 1000-750m, 750-500m, 500-250m and 250-0m depth ranges. The stations were at the following approximate positions: 47o14S:145o43E, 47o57S:145o14E, 49o54S:144o28E, 50o28S:144o15E, 51o15S:144o45E, 52o04S:144o24E, 52o59S:144o52E, 54o00S:145o01E, 53o59S:145o56E, 53o37S:144o32E, 57o00S:145o08E, 59o00S:144o56E, 58o12S:145o44E, 63o41S:139o03E, 64o17S:140o41E, 61o03S:139o40E. It was originally intended to sample 18 stations, some of which during both day and night, for a total of 26 samples, but consistently bad weather and the necessity to divert to Davis to pick up helicopters prevented the full programme being completed. However, data for the transect sampled in September of 1996 are available as a collection in the biodiversity database at the provided URL - MIDOC Fish catch from 1996/97 Voyage 1 WASTE (WOCE Antarctic Southern Transect Expedition).

Metadata record for data expected ASAC Project 11 See the link below for public details on this project. From the abstract of the referenced paper: The Australian Antarctic Division carried out an extensive sampling program for pelagic and benthic fauna in Prydz Bay, Antarctica (Indian Ocean sector) in January to March 1991. A total of 341 cephalopod specimens comprising 256 squids and 85 octopods were captured for study. This preliminary report presents capture records of eight species of squids: Brachioteuthis sp., Kondakovia longimena, Bathyteuthis abyssicola, Mastigoteuthis psychophila, Psychroteuthis glacialis, Alluroteuthis antarcticus, Mesonychoteuthis hamiltoni and Galiteuthis glacialis. The Octopods captured are Megalehedone senei and several species of Pareledone. Psychoteuthis glacialis is reported to congregate on the bottom near the shelf edge at the depth of 400-600 metres. No distinctive pattern in diel vertical movement was found for any of the species captured. Evidence suggests the existence of ontogenetic descent in Galiteuthis glacialis. Cephalopod catches from the extensive sampling program for fishes and zooplankton were studied. For the pelagic fauna, half-hour duration IYGPT hauls were taken at three depths at 63 stations evenly distributed over Prydz Bay area. The three depths fished by the IYGPT at each station were near the surface, near the bottom or 800 m whichever was less, and the midpoint between those two depths. The 63 stations coincided with most of the stations used in the zooplankton sampling program which employed an RMT 1 + 8 net and sampled from 0-200 metres. Additionally 21 benthic samples were taken using bottom trawl, fished for half hour duration on the shelf of Prydz Bay.

This dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic islands. The Antarctic and subantarctic fauna database (seabirds) is a database detailing the distribution and abundance of breeding localities for Antarctic and Subantarctic seabirds. Each species' compilation was produced by members of the SCAR Bird Biology Subcommittee. This separate metadata record has been created beacause it represents only the penguin colony counts that have been published to OBIS. Note: The Year (not day or month) date is only relevent in this dataset. The positions that have been published to OBIS include latitude and longitude positions that were not included within the original dataset. The latitude and longitude positions that were not noted by the observer have been created from the locality given by the observer using the Antarctic Composite Gazetteer. Two spreadsheets are available for download, from the URL given below. The original, unmodified spreadsheet is available, as well as a corrected spreadsheet. In the corrected spreadsheet, the AADC has attempted to reconcile the poorly presented localities into a single column. It is possible that some of these localities may not be correct. The fields in this dataset are: SCAR Number Species Region Locality Longitude Latitude Number of Colonies Number of Pairs Type and accuracy of count Data Date References Remarks These data are further referenced in ANARE Research Notes 9 - see reference below.

This dataset gives an overview of the fish (larvae) caught in the RMT 8+1 (Rectangular Midwater Trawl composed of nets with an 8 square metre and 1 square metre net opening surface area respectivly). For correct deployment procedure please see the'krill catches' document available for download at the URL given below. Columns 'sheet' : 'Samples' Station number: Station number as attributed by Krill group Trawl type: Routine or Target Trawl Start Latitude: Latitudinal position at start of trawl (decimal notation) Start Longitude: Longitudinal position at start of trawl (decimal notation) Start Date: Date at the start of the trawl Start Time: Time (UTC) at start of the trawl End Latitude: Latitudinal position at end of trawl (decimal notation) End Longitude: Longitudinal position at end of trawl (decimal notation) End Date: Date at the end of the trawl End Time: Time (UTC) at the end of the trawl Net Size: Size of the net from which the sample was collected Sample number: Individual Sample code as Used by anton van de Putte Bar Code: bar code as used by AAD Family: Taxonomic family to which the sample belongs Species: Name of species Species short: abbrivation of speciesname, format Genus species==Gen_spe example Electrona antarctica=Ele_ant SL:Standarlength of the specimen (mm) TL: Total length of the specimen (mm) Preservation: preservaion method of sample: Ethanol (sample stored in 100% ethanol), Formalin (sample stored in 4% formalin solution) -80 degrees (sample stored in deep frezer at -80 degrees C). This work was completed as part of ASAC projects 2655 and 2679 (ASAC_2655, ASAC_2679).

2018-08-10 - these data have been superseded by a new metadata record and dataset - see the provided URL for more details. This record describes a compilation of trophic data from across the Southern Ocean. Data have been drawn from published literature, existing trophic data collections, AADC data sets, and unpublished collections. The database comprises two principal tables. The first table relates to direct sampling methods of dietary assessment, including gut, scat, and bolus content analyses, stomach flushing, and observed feeding. The second table is a compilation of stable isotope values. Each record in these two tables includes details such as the location and date of sampling, predator size and mass, prey size and mass, and estimates of dietary importance. Names have been validated against the World Register of Marine Species (http://www.marinespecies.org/). The schemas of these tables are described below, and a list of the sources used to populate the tables is provided with the data. A range of manual and automated checks were used to ensure that the entered data were as accurate as possible. These included visual checking of transcribed values, checking of row or column sums against known totals, and checking for values outside of allowed ranges. Suspicious entries were re-checked against original source. Apparent errors that could not be resolved were marked as such in the QUALITY_FLAG column, with the reason in the NOTES column. Notes on names 'Sp.' indicates unidentified members of a genus (e.g. 'Pachyptila sp.'). For unidentified taxa at other taxonomic levels, the taxonomic name has been used (e.g. Amphipoda, Myctophidae, Decapoda). Uncertain species identifications (e.g. 'Notothenia rossii?' or 'Gymnoscopelus cf. piabilis') were assigned the genus name (e.g. 'Notothenia sp.'). Original names were retained in a separate column to allow future cross-checking. WoRMS identifiers (APHIA_ID numbers) were recorded with each matched taxon. Grouped prey data in the diet sample table need to be handled with a bit of care. Papers commonly report prey statistics aggregated over groups of prey - e.g. one might give the diet composition by individual cephalopod prey species, and then an overall record for all cephalopod prey. The prey_is_aggregate column identifies such records. This allows us to differentiate grouped data like this from unidentified prey items from a certain prey group - for example, an unidentifiable cephalopod record would be entered as Cephalopoda (the scientific name), with 0 in the prey_is_aggregate column. A record that groups together a number of cephalopod records, possibly including some unidentifiable cephalopods, would also be entered as Cephalopoda, but with a 1 in the prey_is_aggregate column. See the notes on prey_is_aggregate, below. Schema: Diet sample table - LINK_ID: The unique identifier of this record - SOURCE_ID: The reference number of the source of this data record. The list of references is provided with the database and also kept at: http://data.aad.gov.au/aadc/trophic/?tab=3 - LOCATION: The name of the location at which the data was collected. - WEST: The westernmost longitude of the sampling region, in decimal degrees (negative values indicate western hemisphere longitudes) - EAST: The easternmost longitude of the sampling region, in decimal degrees (negative values indicate western hemisphere longitudes) - SOUTH: The southernmost latitude of the sampling region, in decimal degrees (negative values indicate southern hemisphere latitudes) - NORTH: The northernmost latitude of the sampling region, in decimal degrees (negative values indicate southern hemisphere latitudes) - OBSERVATION_DATE_START: The start of the sampling period (UTC) - OBSERVATION_DATE_END: The end of the sampling period (UTC). If sampling was carried out over multiple seasons (e.g. during January of 2002 and January of 2003), these dates will indicate the first and last dates (as if the sampling was carried out from 1-Jan-2002 to 31-Jan-2003) - ALTITUDE_MIN: The minimum altitude of the sampling region, in metres (if applicable) - ALTITUDE_MAX: The maximum altitude of the sampling region, in metres (if applicable) - DEPTH_MIN: The shallowest depth of the sampling, in metres (if applicable) - DEPTH_MAX: The deepest depth of the sampling, in metres (if applicable) - PREDATOR_NAME_ORIGINAL: The name of the predator, as it appeared in the original source - PREDATOR_NAME: The scientific name of the predator (corrected, if necessary). - PREDATOR_COMMON_NAME: The common name of the predator (from the WoRMS taxonomic register) - PREDATOR_APHIA_ID: The numeric identifier of the predator in the WoRMS taxonomic register - PREDATOR_LIFE_STAGE: Life stage of the predator. e.g. 'adult', 'chick', 'larva'. Values 'C1'-'C3' refer to calyptopis larval stages of euphausiids. 'F1'-'F6' refer to furcilia larval stages of euphausiids. 'N1'-'N6' refer to nauplius stages of crustaceans. 'Copepodite 1'-'Copepodite 6' refer to developmental stages of copepodites - PREDATOR_BREEDING_STAGE: Stage of the breeding season of the predator, if applicable. e.g. 'brooding', 'chick rearing', 'nonbreeding', 'posthatching' - PREDATOR_SEX: Sex of the predator. 'male', 'female', 'both', or 'unknown' - PREDATOR_SAMPLE_COUNT: The number of predators for which data are given. If (say) 50 predators were caught but only 20 analysed, this column will contain 20. - PREDATOR_TOTAL_COUNT: The total number of predators sampled. If (say) 50 predators were caught but only 20 analysed, this column will contain 50. - PREDATOR_SAMPLE_COUNT: The identifier of this predator sample. PREDATOR_SAMPLE_ID values are unique within a source (i.e. - SOURCE_ID, PREDATOR_SAMPLE_ID pairs are globally unique). Rows with the same SOURCE_ID and PREDATOR_SAMPLE_ID values relate to the same predator individual or population, and so can be combined (e.g. for prey diversity analyses). Subsamples are indicated by a decimal number S.nnn, where S is the parent PREDATOR_SAMPLE_ID, and nnn (001-999) is the subsample number. Studies will often report detailed prey information for a large sample, and also report prey information for various subsamples of that sample (e.g. broken down by predator sex, or sampling season). - PREDATOR_SIZE_MIN: The minimum size of the predators in the sample - PREDATOR_SIZE_MAX: The maximum size of the predators in the sample - PREDATOR_SIZE_MEAN: The mean size of the predators in the sample - PREDATOR_SIZE_SD: The standard deviation of the size of the predators in the sample - PREDATOR_SIZE_UNITS: The units of size. Current values 'mm', 'cm', 'm' - PREDATOR_SIZE_NOTES: Notes on the predator size information, including a definition of what the size value represents (e.g. 'total length', 'standard length') - PREDATOR_MASS_MIN: The minimum mass of the predators in the sample - PREDATOR_MASS_MAX: The maximum mass of the predators in the sample - PREDATOR_MASS_MEAN: The mean mass of the predators in the sample - PREDATOR_MASS_SD: The standard deviation of the mass of the predators in the sample - PREDATOR_MASS_UNITS: The units of mass (e.g. 'g' or 'kg') - PREDATOR_MASS_NOTES: Notes on the predator mass information, including a definition of what the mass value represents (blank implies total body weight). Current values 'g', 'kg', 't' - PREY_NAME_ORIGINAL: The name of the prey item, as it appeared in the original source. - PREY_NAME: The scientific name of the prey item (corrected, if necessary). - PREY_COMMON_NAME: The common name of the prey item (from the WoRMS taxonomic register) - PREY_APHIA_ID: The numeric identifier of the prey in the WoRMS taxonomic register - PREY_IS_AGGREGATE: 'Y' indicates that this row is an aggregation of other rows in this data source. For example, a study might give a number of individual squid species records, and then an overall squid record that encompasses the individual records. Use the PREY_IS_AGGREGATE information to avoid double-counting during analyses. If there no entry in this column, it means that this information is not included anywhere else in the database and can be used freely when aggregating over taxonomic groups, for example - PREY_LIFE_STAGE: Life stage of the prey. e.g. 'adult', 'chick', 'larva' - PREY_SAMPLE_COUNT: The number of prey individuals from which size and mass measurements were made (note: NOT the total number of individuals of this prey type, unless all individuals in the sample were measured) - PREY_SIZE_MIN: The minimum size of the prey in the sample - PREY_SIZE_MAX: The maximum size of the prey in the sample - PREY_SIZE_MEAN: The mean size of the prey in the sample - PREY_SIZE_SD: The standard deviation of the size of the prey in the sample - PREY_SIZE_UNITS: The units of size. Current values 'mm', 'cm', 'm' - PREY_SIZE_NOTES: Notes on the prey size information, including a definition of what the size value represents (e.g. 'total length', 'standard length') - PREY_MASS_MIN: The minimum mass of the prey in the sample - PREY_MASS_MAX: The maximum mass of the prey in the sample - PREY_MASS_MEAN: The mean mass of the prey in the sample - PREY_MASS_SD: The standard deviation of the mass of the prey in the sample - PREY_MASS_UNITS: The units of mass. Current values 'mg', 'g', 'kg' - PREY_MASS_NOTES: Notes on the prey mass information, including a definition of what the mass value represents (blank implies total body weight) - FRACTION_DIET_BY_WEIGHT: The fraction (by weight) of the predator diet that this prey type made up (e.g. if Euphausia superba contributed 50% of the total mass of prey items, this value would be 0.5). Many papers represent very small dietary contributions as 'trace' or sometimes 'less than 0.1%'. These have been entered as -999 - FRACTION_DIET_BY_PREY_ITEMS: The fraction (by number) of prey items that this prey type made up (e.g. if 1000 Euphausia superba were found out of a total of 2000 prey items, this value would be 0.5). Note: many papers represent very small dietary contributions as 'trace' or sometimes 'less than 0.1%'. These have been entered as -999 - FRACTION_OCCURRENCE: The number of times this prey item occurred in a predator sample, as a fraction of the number of non-empty samples (e.g. if Euphausia superba occurred in half of the non-empty stomachs examined, this value would be 0.5). Empty stomachs are ignored for the purposes of calculating fraction of occurrence. For gut content analyses (and any other study types where 'no prey' can occur in a sample), the fraction of empty stomachs is also given (using prey_name 'None' - e.g. if predator_total_count was 10 and 3 stomachs were empty, this will be 0.3). Note: many papers represent very small dietary contributions as 'trace' or sometimes 'less than 0.1%'. These have been entered as -999 - QUALITATIVE_DIETARY_IMPORTANCE: Qualitative description of the dietary importance of this prey item (e.g. from comments about certain prey in the discussion text of an article), if numeric values have not been given. Current values are 'none', 'incidental', 'minor', 'major', 'almost exclusive', 'exclusive' - CONSUMPTION_RATE_MIN: The minimum consumption rate of this prey item - CONSUMPTION_RATE_MAX: The maximum consumption rate of this prey item - CONSUMPTION_RATE_MEAN: The mean consumption rate of this prey item - CONSUMPTION_RATE_SD: The standard deviation of the consumption rate of this prey item - CONSUMPTION_RATE_UNITS: The units of consumption rate (e.g. 'kg/day') - CONSUMPTION_RATE_NOTES: Notes about the consumption rate estimates - IDENTIFICATION_METHOD: How this dietary information was gathered. Multiple values can potentially be entered (separated by commas). Current values include 'scat content' (contents of scats), 'stomach flushing' (physical sampling of the stomach contents by flushing the contents out with water), 'stomach content' (physical sampling of the stomach contents from a dead animal), 'regurgitate content' (physical sampling of the contents of forced or spontaneous regurgitations), 'observed predation', 'bolus content' (physical sampling of the contents of boluses), 'nest detritus', 'unknown' - QUALITY_FLAG: An indicator of the quality of this record. 'Q' indicates that the data are known to be questionable for some reason. The reason should be in the notes column. 'G' indicates good data - IS_SECONDARY_DATA: An indicator of whether this record was entered from its primary source, or from a secondary citation. 'Y' here indicates that the data actually came from another paper and were being reported in this paper as secondary data. Secondary data records are likely to be removed at a later date and replaced with information from the original source. - NOTES: Any other notes - LAST_MODIFIED: The date of last modification of this record Schema: Isotope data table - RECORD_ID: The unique identifier of this record - SOURCE_ID: The reference number of the source of this data record. The list of references is provided with the database and also kept at: http://data.aad.gov.au/aadc/trophic/?tab=3 - LOCATION: The name of the location at which the data was collected. - WEST: The westernmost longitude of the sampling region, in decimal degrees (negative values indicate western hemisphere longitudes) - EAST: The easternmost longitude of the sampling region, in decimal degrees (negative values indicate western hemisphere longitudes) - SOUTH: The southernmost latitude of the sampling region, in decimal degrees (negative values indicate southern hemisphere latitudes) - NORTH: The northernmost latitude of the sampling region, in decimal degrees (negative values indicate southern hemisphere latitudes) - OBSERVATION_DATE_START: The start of the sampling period (UTC) - OBSERVATION_DATE_END: The end of the sampling period (UTC). If sampling was carried out over multiple seasons (e.g. during January of 2002 and January of 2003), these dates will indicate the first and last dates (as if the sampling was carried out from 1-Jan-2002 to 31-Jan-2003) - ALTITUDE_MIN: The minimum altitude of the sampling region, in metres (if applicable) - ALTITUDE_MAX: The maximum altitude of the sampling region, in metres (if applicable) - DEPTH_MIN: The shallowest depth of the sampling, in metres (if applicable) - DEPTH_MAX: The deepest depth of the sampling, in metres (if applicable) - TAXON_NAME_ORIGINAL: The name of the taxon, as it appeared in the original source. - TAXON_NAME: The scientific name of the taxon (corrected, if necessary). - TAXON_COMMON_NAME: The common name of the taxon (from the WoRMS taxonomic register) - TAXON_APHIA_ID: The numeric identifier of the taxon in the WoRMS taxonomic register - TAXON_LIFE_STAGE: Life stage of the taxon. e.g. 'adult', 'chick', 'larva'. Values 'C1'-'C3' refer to calyptopis larval stages of euphausiids. 'F1'-'F6' refer to furcilia larval stages of euphausiids. 'N1'-'N6' refer to nauplius stages of crustaceans. 'Copepodite 1'-'Copepodite 6' refer to developmental stages of copepodites - TAXON_BREEDING_STAGE: Stage of the breeding season of the taxon, if applicable. e.g. 'lactating', 'weaning', 'chick rearing' - TAXON_SEX: Sex of the taxon. 'male', 'female', 'both', or 'unknown' - TAXON_SAMPLE_COUNT: The number of samples from which size and stable isotope measurements were made - TAXON_SIZE_MIN: The minimum size of the individuals in the sample - TAXON_SIZE_MAX: The maximum size of the individuals in the sample - TAXON_SIZE_MEAN: The mean size of the individuals in the sample - TAXON_SIZE_SD: The standard deviation of the size of the individuals in the sample - TAXON_SIZE_UNITS: The units of size. Current values 'mm', 'm' - TAXON_SIZE_NOTES: Notes on the size information, including a definition of what the size value represents (e.g. 'total length', 'standard length') - TAXON_MASS_MIN: The minimum mass of the individuals in the sample - TAXON_MASS_MAX: The maximum mass of the individuals in the sample - TAXON_MASS_MEAN: The mean mass of the individuals in the sample - TAXON_MASS_SD: The standard deviation of the mass of the individuals in the sample - TAXON_MASS_UNITS: The units of mass. e.g. 'g', 'kg' - TAXON_MASS_NOTES: Notes on the taxon mass information, including a definition of what the mass value represents (blank implies total body weight) - DELTA_13C_MEAN: The mean of the d13C values from the sample (permil;) - DELTA_13C_VARIABILITY_VALUE: The variability of the d13C values from the sample - DELTA_13C_VARIABILITY_TYPE: The variability type that the DELTA_13C_VARIABILITY_VALUE represents (currently 'SD' standard deviation, or 'SE' standard error) - DELTA_15N_MEAN: The mean of the d15N values from the sample (permil;) - DELTA_15N_VARIABILITY_VALUE: The variability of the d15N values from the sample - DELTA_15N_VARIABILITY_TYPE: The variability type that the DELTA_15N_VARIABILITY_VALUE represents (currently 'SD' standard deviation, or 'SE' standard error) - C_N_RATIO_MEAN: The mean of the C:N ratio values from the sample, expressed as a molar percentage - C_N_RATIO_VARIABILITY_VALUE: The variability of the C:N ratio values from the sample - C_N_RATIO_VARIABILITY_TYPE: The variability type that the C_N_RATIO_VARIABILITY_VALUE represents (currently 'SD' standard deviation, or 'SE' standard error) - ISOTOPES_CARBONATES_EXTRACTED: Were carbonates extracted from the samples prior to isotope analyses? 'Y', 'N', or 'U' (unknown) - ISOTOPES_LIPIDS_EXTRACTED: Were lipids extracted from the samples prior to isotope analyses? 'Y', 'N', or 'U' (unknown) - ISOTOPES_BODY_PART_USED: Which part of the organism was sampled? - QUALITY_FLAG: An indicator of the quality of this record. 'Q' indicates that the data are known to be questionable for some reason. The reason should be in the notes column. 'G' indicates good data - IS_SECONDARY_DATA: An indicator of whether this record was entered from its primary source, or from a secondary citation. 'Y' here indicates that the data actually came from another paper and were being reported in this paper as secondary data. Secondary data records are likely to be removed at a later date and replaced with information from the original source. - NOTES: Any other notes - LAST_MODIFIED: The date of last modification of this record

Ship-based observations of whales sightings from the original 'ANARE Whale Log' books have been recovered into a single repository of sightings. ANARE (Australian National Antarctic Research Expeditions) is the historic acronym for these voyages. Currently there are data from 4 voyages, from the 1990's. Further data will be entered from existing Whale log datasheets on an ongoing basis. Observing platforms currently only include the ship, Aurora Australis. The quality and quantity of abiotic data associated with observations such as air temperature, sea ice cover etc vary immensely from voyage to voyage. Where possible these data have been entered. This dataset contains no information on estimates of survey effort and cannot be used to derive useful presence/absence spatial coverages of species during this period. It is purely sighting data only. Species distribution data are made available to SCAR-MarBIN (http://www.scarmarbin.be), OBIS and GBIF via the DiGIR protocol and Darwin Core schema.

This dataset contains results from the Aurora Australis Voyage 7 (KROCK) 1992-93, related to mesoscale distribution of krill and zooplankton communities in Prydz Bay in relation to physical and biological oceanographic parameters. There were five objectives of this project: to define the distribution patterns and abundance of krill in the krill dominated continental shelf area of the Prydz Bay region; to define the krill population structure within this area and the distribution pattern of developmental stages, especially spawning females; to define the distribution patterns and composition of the other two principal communities, neritic and oceanic, which border the krill dominated community; to specifically determine the zooplankton composition within the main feeding area of Adelie Penguins from Bechervaise Island monitoring site, Mawson; to record and analyse various physical and biological processes, eg. salinity, temperature, ice and phytoplankton, to determine how these parameters affect the observed distribution patterns. Surveys of krill and other zooplankton were taken in Prydz Bay, Antarctica between January and February 1993. At each station, rectangular midwater trawls and CTDs/bottle casts were made. During the program, echosounders and echointegrators were operating to provide krill abundance and distribution data, in addition to that from the RMT trawls. Initial analysis has shown that Euphausia crystallorophias dominates the neritic community on the shelf, while Euphausia superba was found not to occur in high abundance in the central Prydz Bay area between 70 and 78 degrees East. This dataset is a subset of the full cruise.

These layers are polar climatological and other summary environmental layers that may be useful for purposes such as general modelling, regionalisation, and exploratory analyses. All of the layers in this collection are provided on a consistent 0.1-degree grid, which covers -180 to 180E, 80S to 30S (Antarctic) and 45N to 90N (Arctic). As far as practicable, each layer is provided for both the Arctic and Antarctic regions. Where possible, these have been derived from the same source data; otherwise, source data have been chosen to be as compatible as possible between the two regions. Some layers are provided for only one of the two regions. Each data layer is provided in netCDF and ArcInfo ASCII grid format. A png preview map of each is also provided. Processing details for each layer: Bathymetry File: bathymetry Measured and estimated seafloor topography from satellite altimetry and ship depth soundings. Antarctic: Source data: Smith and Sandwell V13.1 (Sep 4, 2010) Processing steps: Depth data subsampled from original 1-minute resolution to 0.05-degree resolution and interpolated to 0.1-degree grid using bilinear interpolation. Reference: Smith, W. H. F., and D. T. Sandwell (1997) Global seafloor topography from satellite altimetry and ship depth soundings. Science 277:1957-1962. http://topex.ucsd.edu/WWW_html/mar_topo.html Arctic: Source data: ETOPO1 Processing steps: Depth data subsampled to 0.05-degree resolution and interpolated to 0.1-degree grid using bilinear interpolation on polar stereographic projection. Reference: Amante, C. and B. W. Eakins, ETOPO1 1 Arc-Minute Global Relief Model: Procedures, Data Sources and Analysis. NOAA Technical Memorandum NESDIS NGDC-24, 19 pp, March 2009. http://www.ngdc.noaa.gov/mgg/global/global.html ---- Bathymetry slope File: bathymetry_slope Slope of sea floor, derived from Smith and Sandwell V13.1 and ETOPO1 bathymetry data (above). Processing steps: Slope calculated on 0.1-degree gridded depth data (above). Calculated using the equation given by Burrough, P. A. and McDonell, R.A. (1998) Principles of Geographical Information Systems (Oxford University Press, New York), p. 190 (see http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=How%20Slope%20works) ---- CAISOM model-derived variables Variables derived from the CAISOM ocean model. This model has been developed by Ben Galton-Fenzi (AAD and ACE-CRC), and is based on the Regional Ocean Modelling System (ROMS). It has circum-Antarctic coverage out to 50S, with a spatial resolution of approximately 5km. The values here are averaged over 12 snapshots from the model, each separated by 2 months. These parameters should be treated as experimental. Reference: Galton-Fenzi BK, Hunter JR, Coleman R, Marsland SJ, Warner RC (2012) Modeling the basal melting and marine ice accretion of the Amery Ice Shelf. Journal of Geophysical Research: Oceans, 117, C09031. http://dx.doi.org/10.1029/2012jc008214 Floor current speed File: caisom_floor_current_speed Current speed near the sea floor. Floor temperature File: caisom_floor_temperature Potential temperature near the sea floor. Floor vertical velocity File: caisom_floor_vertical_velocity Vertical water velocity near the sea floor. Surface current speed File: caisom_surface_current_speed Near-surface current speed (at approximately 2.5m depth) ---- Chlorophyll summer File: chl_summer_climatology Source data: Near-surface chl-a summer climatology from MODIS Aqua Antarctic: Climatology spans the 2002/03 to 2009/10 austral summer seasons. Data interpolated from original 9km resolution to 0.1-degree grid using bilinear interpolation. Arctic: Climatology spans the 2002 to 2009 boreal summer seasons. Data interpolated from original 9km resolution to 0.1-degree grid using bilinear interpolation. Reference: Feldman GC, McClain CR (2010) Ocean Color Web, MODIS Aqua Reprocessing, NASA Goddard Space Flight Center. Eds. Kuring, N., Bailey, S.W. https://oceancolor.gsfc.nasa.gov/ ---- Distance to Antarctica File: distance_antarctica Distance to nearest part of Antarctic continent (Antarctic only) Source data: A modified version of ESRI's world map shapefile Processing steps: Distances calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. ---- Distance to nearest seabird breeding colony (Antarctic only) File: distance_colony Antarctic source data: Inventory of Antarctic seabird breeding sites, collated by Eric Woehler. http://data.aad.gov.au/aadc/biodiversity/display_collection.cfm?collection_id=61. Processing steps: The closest distance of each grid point to the colonies was calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. ---- Distance to maximum winter sea ice extent File: distance_max_ice_edge Source data: SMMR-SSM/I passive microwave estimates of daily sea ice concentration from the National Snow and Ice Data Center (NSIDC). Processing steps: Antarctic: Mean maximum winter sea ice extent was derived from daily estimates of sea ice concentration as described at https://data.aad.gov.au/metadata/records/sea_ice_extent_winter. The closest distance of each grid point to this extent line was calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. Arctic: The median March winter sea ice extent was obtained from the NSIDC at http://nsidc.org/data/g02135.html. The closest distance of each grid point to this extent line was calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. Reference: Cavalieri, D., C. Parkinson, P. Gloersen, and H. J. Zwally. 1996, updated 2008. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I passive microwave data. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media. tp://nsidc.org/data/nsidc-0051.html ---- Distance to shelf break File: distance_shelf Distance to nearest area of sea floor of depth 500m or less. Derived from Smith and Sandwell V13.1 and ETOPO1 bathymetry data (above). Processing steps: Distances calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. Points in less than 500m of water (i.e. over the shelf) were assigned negative distances. See also distance to upper slope ---- Distance to subantarctic islands (Antarctic only) File: distance_subantarctic_islands Distance to nearest land mass north of 65S (includes land masses of e.g. South America, Africa, Australia, and New Zealand). Processing steps: Distances calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. ---- Distance to canyon File: distance_to_canyon Distance to the axis of the nearest canyon (Antarctic only) Source data: O'Brien and Post (2010) seafloor geomorphic feature dataset, expanded from O'Brien et al. (2009). Mapping based on GEBCO contours, ETOPO2, seismic lines. Processing steps: Distances to nearest canyon axis calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. NOTE: source data extend only as far north as 45S. Do not rely on this layer near or north of 45S. Reference: O'Brien, P.E., Post, A.L., and Romeyn, R. (2009) Antarctic-wide geomorphology as an aid to habitat mapping and locating vulnerable marine ecosystems. CCAMLR VME Workshop 2009. Document WS-VME-09/10 ---- Distance to polynya File: distance_to_polynya Distance to the nearest polynya area (Antarctic only) Source data: AMSR-E satellite estimates of daily sea ice concentration at 6.25km resolution Processing steps: The seaice_gt_85 layer (see below) was used. Pixels which were (on average) covered by sea ice for less than 35% of the year were identified. The distance from each grid point on the 0.1-degree grid to the nearest such polynya pixel was calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. (NB the threshold of 35% was chosen to give a good empirical match to the polynya locations identified by Arrigo and van Dijken (2003), although the results were not particularly sensitive to the choice of threshold. Reference: Arrigo KR, van Dijken GL (2003) Phytoplankton dynamics within 37 Antarctic coastal polynya systems. Journal of Geophysical Research, 108, 3271. http://dx.doi.org/10.1029/2002JC001739 ---- Distance to upper slope (Antarctic only) File: distance_upper_slope Distance to the "upper slope" geomorphic feature from the Geoscience Australia geomorphology data set. This is probably a better indication of the distance to the Antarctic continental shelf break than the "distance to shelf break" data (above). Source data: O'Brien and Post (2010) seafloor geomorphic feature dataset, expanded from O'Brien et al. (2009). Mapping based on GEBCO contours, ETOPO2, seismic lines. Processing steps: Distances calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. Points inside of an "upper slope" polygon were assigned negative distances. Reference: O'Brien, P.E., Post, A.L., and Romeyn, R. (2009) Antarctic-wide geomorphology as an aid to habitat mapping and locating vulnerable marine ecosystems. CCAMLR VME Workshop 2009. Document WS-VME-09/10 ---- Fast ice File: fast_ice The average proportion of the year for which landfast sea ice is present in a location Source data: 20-day composite records of East Antarctic landfast sea-ice, derived from MODIS imagery (Fraser at al. 2012) Processing steps: The average proportion of the year for which each pixel was covered by landfast sea ice was calculated as an average across 2001--2008. Data were regridded to the 0.1-degree grid using bilinear interpolation. Distance to fast ice File: distance_to_fast_ice Distance to the nearest location where fast ice is typically present. Source data: 20-day composite records of East Antarctic landfast sea ice, derived from MODIS imagery (Fraser at al. 2012) Processing steps: Pixels in the landfast sea ice data that were associated with fast ice presence for more than half of the year (on average) were identified. The distance from each pixel in the 0.1-degree grid to the nearest of these fast ice pixels was calculated in km using the Haversine formula on a spherical earth of radius 6378.137km. Reference: Fraser AD, Massom RA, Michael KJ, Galton-Fenzi BK and Lieser JL (2012) East Antarctic landfast sea ice distribution and variability, 2000-08. Journal of Climate 25:1137-1156. See also: http://data.aad.gov.au/aadc/metadata/metadata_redirect.cfm?md=AMD/AU/modis_20day_fast_ice ---- Seafloor temperature File: floor_temperature Source data: Original data derived from World Ocean Atlas 2005 data and provided on a 1-degree grid. Processing steps: Isolated missing pixels (i.e. single pixels of missing data with no surrounding missing pixels) were filled using bilinear interpolation. Data provided in two versions: one regridded from 1-degree grid using nearest neighbour interpolation (floor_temperature) and the other using bilinear interpolation (floor_temperature_interpolated). Reference: Clarke, A. et al. (2009) Spatial variation in seabed temperatures in the Southern Ocean: Implications for benthic ecology and biogeography. Journal of Geophysical Research 114:G03003. doi:10.1029/2008JG000886 ---- Geomorphology File: geomorphology Geomorphic feature classification Source data: O'Brien and Post (2010) seafloor geomorphic feature dataset, expanded from O'Brien et al. (2009). Mapping based on GEBCO contours, ETOPO2, seismic lines. Reference: O'Brien, P.E., Post, A.L., and Romeyn, R. (2009) Antarctic-wide geomorphology as an aid to habitat mapping and locating vulnerable marine ecosystems. CCAMLR VME Workshop 2009. Document WS-VME-09/10 Geomorphic feature class names and their corresponding values in the gridded files: 1: Abyssal_Plain 2: Bank_Wave_Affected 3: Coastal_Terrane 4: Contourite_Feature 5: Cross_Shelf_Valley 6: Fracture_Zone 7: Iceshelf_Cavity 8: Island_Arc 9: Island_Coastal_Terrane 10: Lower_Slope 11: Margin_Ridges 12: Marginal_Plateau 13: Mid_Ocean_Ridge_Valley 14: Plateau 15: Plateau_Slope 16: Ridge 17: Rough_Seafloor 18: Seamount 19: Seamount_Ridges 20: Shelf_Bank 21: Shelf_Deep 22: Structural_Slope 23: Trench 24: Trough 25: Trough_Mouth_Fan 26: Upper_Slope 27: Volcano ---- Light budget File: light_budget Annual light budget (cumulative solar radiation) reaching the water surface. Processing steps: As per Clark et al. (in press). Daily incident solar radiation was modelled assuming a cloud-free sky (Suri and Hofierka 2004). Sea ice data (AMSR-E sea ice concentration) were used as a mask: if sea ice was present on a given day then the solar radiation reaching the ocean surface was assumed to be zero. The annual light budget for a given pixel was therefore calculated as the sum of daily solar radiation values on all days when sea ice was not present. The values here are the mean annual light budget over the 2002/03 to 2010/11 austral summer seasons (1-Jul to 30-Jun). Calculations were made on the AMSR-E 6.25km polar stereographic grid, and then interpolated to the 0.1-degree rectangular grid using triangle-based linear interpolation. References: Clark GF, Stark JS, Johnston EL, Runcie JW, Goldsworthy PM, Raymond B, Riddle MJ (in press) Light-driven tipping points in polar ecosystems. Global Change Biology. http://dx.doi.org/10.1111/gcb.12337 Suri M, J Hofierka (2004) A new GIS-based solar radiation model and its application to photovoltaic assessments. Transactions in GIS, 8, 175-190 ---- Mixed layer depth File: mixed_layer_depth_summer_climatology and mixed_layer_depth_summer_climatology_interpolated Summer mixed layer depth climatology from ARGOS data Processing steps: Data provided in two versions: one regridded from 2-degree grid using nearest neighbour interpolation (mixed_layer_depth_summer_climatology) and the other using bilinear interpolation (mixed_layer_depth_summer_climatology_interpolated). Reference: de Boyer Montegut, C., G. Madec, A. S. Fischer, A. Lazar, and D. Iudicone (2004), Mixed layer depth over the global ocean: an examination of profile data and a profile-based climatology, J. Geophys. Res., 109, C12003, doi:10.1029/2004JC002378. http://www.ifremer.fr/cerweb/deboyer/mld/home.php ---- Sea ice cover File: seaice_gt85 Proportion of time the ocean is covered by sea ice of concentration 85% or higher. Source data: AMSR-E satellite estimates of daily sea ice concentration at 6.25km resolution Processing steps: Concentration data from 1-Jan-2003 to 31-Dec-2010 used. The fraction of time each pixel was covered by sea ice of at least 85% concentration was calculated for each pixel in the original (polar stereographic) grid. Data then regridded to 0.1-degree grid using triangle-based linear interpolation. Reference: Spreen, G., L. Kaleschke, and G. Heygster (2008), Sea ice remote sensing using AMSR-E 89 GHz channels, J. Geophys. Res., doi:10.1029/2005JC003384 https://seaice.uni-bremen.de/sea-ice-concentration/ ---- Sea ice summer variability File: seaice_summer_variability Variability of sea ice cover during summer months Source data: AMSR-E satellite estimates of daily sea ice concentration at 6.25km resolution Processing steps: Daily estimates of sea ice concentration across December, January, and February of a given austral summer season were collated. For each pixel, the standard deviation of these values was calculated. The values given here are averaged over the 2002/03 to 2009/10 austral summer seasons. Reference: Spreen, G., L. Kaleschke, and G. Heygster (2008), Sea ice remote sensing using AMSR-E 89 GHz channels, J. Geophys. Res., doi:10.1029/2005JC003384 https://seaice.uni-bremen.de/sea-ice-concentration/ ---- Sea surface height variables NOTE: The sea surface height-related data are derivative works of level-4 gridded altimetry data (data courtesy of Ssalto/Duacs, Aviso, and CNES; http://www.aviso.oceanobs.com/duacs/). These derivative works are available for scientific purposes ONLY. Sea surface height File: ssh Source data: CNES-CLS09 Mean Dynamic Topography v1.1 (Rio et al., 2009) Processing steps: Regridded to 0.1-degree grid using bilinear interpolation. SSH spatial gradient File: ssh_spatial_gradient The spatial gradient (in mm/km) of the mean dynamic topography. Source data: CNES-CLS09 Mean Dynamic Topography v1.1 (Rio et al., 2009) Processing steps: Gradient calculated on the native 0.25-degree grid and interpolated to 0.1-degree grid using bilinear interpolation. SSH variability File: ssha_variability The variability of sea surface height over time Source data: SSHA data from http://www.aviso.oceanobs.com/en/data/products/sea-surface-height-products/global/index.html Processing steps: Weekly SSHA data covering the period 14-Oct-1992 to 14-Oct-2007 were used. For each pixel in the native 1/3-degree Mercator grid, the standard deviation of SSHA values over that period was calculated. Data were then interpolated to 0.1-degree grid using bilinear interpolation. Reference: Rio, M-H, P. Schaeffer, G. Moreaux, J-M Lemoine, E. Bronner (2009) : A new Mean Dynamic Topography computed over the global ocean from GRACE data, altimetry and in-situ measurements . Poster communication at OceanObs09 symposium, 21-25 September 2009, Venice ---- SST summer File: sst_summer_climatology Source data: Sea surface temperature summer climatology from MODIS Aqua. Antarctic: Climatology spans the 2002/03 to 2009/10 austral summer seasons. Data interpolated from original 9km resolution to 0.1-degree grid using bilinear interpolation. Arctic: Climatology spans the 2002 to 2009 boreal summer seasons. Data interpolated from original 9km resolution to 0.1-degree grid using bilinear interpolation on polar stereographic grid. Reference: Feldman GC, McClain CR (2010) Ocean Color Web, MODIS Aqua Reprocessing, NASA Goddard Space Flight Center. Eds. Kuring, N., Bailey, S.W. https://oceancolor.gsfc.nasa.gov/ ---- SST spatial gradient File: sst_spatial_gradient Source data: Sea surface temperature summer climatology from MODIS Aqua. Antarctic: Climatology spans the 2002/03 to 2009/10 austral summer seasons. Spatial gradient of the SST (degrees C per km) calculated on the original 9km resolution data, following the equation given in http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=How%20Slope%20works. Gradient values were then interpolated from original 9km resolution to 0.1-degree grid using bilinear interpolation. Reference: Feldman GC, McClain CR (2010) Ocean Color Web, MODIS Aqua Reprocessing, NASA Goddard Space Flight Center. Eds. Kuring, N., Bailey, S.W. https://oceancolor.gsfc.nasa.gov/ ---- Surface wind File: surface_wind_annual Source data: Average 10m wind (2000-2010) from Monthly NCEP/DOE Reanalysis 2 Processing steps: Monthly mean 10m wind speed (from u- and v-wind components) from Jan-2000 to Dec-2010 was averaged. Data interpolated from original 2.5-degree grid to 0.1-degree grid using bilinear interpolation. Reference: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis2.html ---- Salinity 0m winter File: salinity_0_winter_climatology and salinity_0_interpolated_winter_climatology Salinity winter climatology at 0m depth. Source data: World Ocean Atlas 2009 (National Oceanographic Data Center, Silver Springs, MD, U.S.A.) http://www.nodc.noaa.gov/OC5/WOA09/pr_woa09.html Processing steps: Data regridded to 0.1-degree grid using nearest-neighbour interpolation (salinity_0_winter_climatology) and bilinear interpolation (salinity_0_interpolated_winter_climatology). Reference: Antonov, J. I., D. Seidov, T. P. Boyer, R. A. Locarnini, A. V. Mishonov, and H. E. Garcia, 2010. World Ocean Atlas 2009, Volume 2: Salinity. S. Levitus, Ed. NOAA Atlas NESDIS 69, U.S. Government Printing Office, Washington, D.C., 184 pp. ---- Salinity 0m summer See above (WOA) ---- Salinity 50m winter See above (WOA) ---- Salinity 50m summer See above (WOA) ---- Salinity 200m winter See above (WOA) ---- Salinity 200m summer See above (WOA) ---- Salinity 500m winter See above (WOA) ---- Salinity 500m summer See above (WOA) ---- NOX and Silicate 0m winter See above (WOA) File: nox_0_winter_climatology, nox_0_interpolated_winter_climatology; and si_0_winter_climatology, si_0_interpolated_winter_climatology Reference: Garcia, H. E., R. A. Locarnini, T. P. Boyer, and J. I. Antonov, 2010. World Ocean Atlas 2009, Volume 4: Nutrients (phosphate, nitrate, silicate). S. Levitus, Ed. NOAA Atlas NESDIS 71, U.S. Government Printing Office, Washington, D.C., 398 pp. ---- NOX and Silicate 0m summer See above (WOA) ---- NOX and Silicate 50m summer See above (WOA) ---- NOX and Silicate 50m winter See above (WOA) ---- NOX and Silicate 200m summer See above (WOA) ---- NOX and Silicate 200m winter See above (WOA) ---- Oxygen 0m winter See above (WOA) File: oxygen_0_winter_climatology and oxygen_0_interpolated_winter_climatology Reference: Garcia, H. E., R. A. Locarnini, T. P. Boyer, and J. I. Antonov, 2010. World Ocean Atlas 2009, Volume 3: Dissolved Oxygen, Apparent Oxygen Utilization, and Oxygen Saturation. S. Levitus, Ed. NOAA Atlas NESDIS 70, U.S. Government Printing Office, Washington, D.C., 344 pp. ---- Oxygen 0m summer See above (WOA) ---- Oxygen 50m winter See above (WOA) ---- Oxygen 50m summer See above (WOA) ---- Oxygen 200m winter See above (WOA) ---- Oxygen 200m summer See above (WOA) ---- Temperature 0m winter See above (WOA) File: t_0_winter_climatology and t_0_interpolated_winter_climatology Reference: Locarnini, R. A., A. V. Mishonov, J. I. Antonov, T. P. Boyer, and H. E. Garcia, 2010. World Ocean Atlas 2009, Volume 1: Temperature. S. Levitus, Ed. NOAA Atlas NESDIS 68, U.S. Government Printing Office, Washington, D.C., 184 pp. ---- Temperature 0m summer See above (WOA) ---- Temperature 50m winter See above (WOA) ---- Temperature 50m summer See above (WOA) ---- Temperature 200m winter See above (WOA) ---- Temperature 200m summer See above (WOA) ---- Temperature 500m summer See above (WOA) ---- Temperature 500m winter See above (WOA) ---- Vertical velocity File: vertical_velocity_250 and vertical_velocity_500 Upward sea water velocity at 250m and 500m depth (Antarctic only) Source data: CSIRO Mk3.5d climate model Processing steps: Mean values calculated from the 20C3M model run 1, averaged over 1980--2000. Values then interpolated from original grid (approximate resolution 0.9 degrees latitude by 1.9 degrees longitude) to 0.1-degree grid using bilinear interpolation. Reference: Gordon et al. (2010) The CSIRO Mk3.5 Climate Model. CAWCR Technical Report 21. http://www.cawcr.gov.au/technical-reports/CTR_021.pdf

Marine sediment samples were obtained from box corer, Smith-MacIntyre and Van Veen grabs. Samples were named by: 1. CEAMARC site (e.g. 16) 2. Instrument (e.g. box corer = BC; Smith-MacIntyre = GRSM; Van Veen = GRVV) 3. Sequence of sample at each site (e.g. first sample = 01; second sample = 02) So 16BC02 is the second sample at CEAMARC site 16, using the box corer. From each successful sample, a sub-sample was obtained: 1. 200 g surface scrape (labelled A) 2. short (20 cm) push core (labelled B) 3. bulk (labelled Bulk) 4. rocks-only (labelled Rocks) e.g. 16BC02A is a 200 g surface scrape subsample from 16BC02. 16BC02B is a push core subsample from 16BC02 16BC02Bulk is a bulk sediment subsample from 16BC02. 16BC02Rocks is a rocks-only subsample from 16BC02. Post-cruise analyses: 1. Grain size 2. Total organic carbon 3. Total organic nitrogen 4. Carbon and nitrogen isotopes 5. Biogenic silica and carbonate 6. Physical properties of cores 7. Zircon dating 8. X-rays for infauna and sedimentary structures Added by Alix Post - March 2010: Seabed samples were collected from 52 sites across the George V Shelf. Most samples were collected with a box corer (BC), though more gravelly sediments required a Smith-McIntyre (GRSM) or Van-Veen grab (GRVV) as indicated by the station name in the spreadsheet. A small volume of sediment was frozen following collection and later analysed for organic carbon and nitrogen content, in addition to carbon and nitrogen isotopes. Organic carbon and nitrogen values are express as percent of the total sediment, and have been corrected back to the total sediment volume. Isotopic values are expressed as values per mil. Where sufficient volume of sediment was collected, a mini-core was pushed into the sediment to provide a depth profile of the sample, and a bulk surface sample was also taken. Surface sediment samples analysed for sieve grainsize, calcium carbonate and biogenic silica content. All values are expressed as percentage values. The naming convention of the samples describes the type of gear used and the nature of the sediment analysed: e.g. 01BC01Bulk is a bulk sediment sample collected with a box core; 38GRVV02B/0-1 is a slice taken from 0 to 1 cm at the top of a van veen grab.

Metadata record for data expected from ASAC Project 2163 See the link below for public details on this project. Records of observations of kelp rafts passing within 50 m of one side of the vessel over replicated periods of 1 hour. Data collected over subantarctic latitudes only. Records include: size, species, presence/absence of holdfast, latitude and longitude, ship speed.