Information related to diet and energy flow is fundamental to a diverse range of Antarctic and Southern Ocean biological and ecosystem studies. This metadata record describes a database of such information being collated by the SCAR Expert Groups on Antarctic Biodiversity Informatics (EG-ABI) and Birds and Marine Mammals (EG-BAMM) to assist the scientific community in this work. It includes data related to diet and energy flow from conventional (e.g. gut content) and modern (e.g. molecular) studies, stable isotopes, fatty acids, and energetic content. It is a product of the SCAR community and open for all to participate in and use. Data have been drawn from published literature, existing trophic data collections, and unpublished data. The database comprises five principal tables, relating to (i) direct sampling methods of dietary assessment (e.g. gut, scat, and bolus content analyses, stomach flushing, and observed predation), (ii) stable isotopes, (iii) lipids, (iv) DNA-based diet assessment, and (v) energetics values. 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. Notes on names: Names have been validated against the World Register of Marine Species (http://www.marinespecies.org/). For uncertain taxa, the most specific taxonomic name has been used (e.g. prey reported in a study as "Pachyptila sp." will appear here as "Pachyptila"; "Cephalopods" will appear as "Cephalopoda"). Uncertain species identifications (e.g. "Notothenia rossii?" or "Gymnoscopelus cf. piabilis") have been assigned the genus name (e.g. "Notothenia", "Gymnoscopelus"). Original names have been retained in a separate column to allow future cross-checking. WoRMS identifiers (APHIA_ID numbers) are given where possible. 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 "N" 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 "Y" in the PREY_IS_AGGREGATE column. See the notes on PREY_IS_AGGREGATE, below. There are two related R packages that provide data access and functionality for working with these data. See the package home pages for more information: https://github.com/SCAR/sohungry and https://github.com/SCAR/solong. Data table schemas Sources data table - SOURCE_ID: The unique identifier of this source - DETAILS: The bibliographic details for this source (e.g. "Hindell M (1988) The diet of the royal penguin Eudyptes schlegeli at Macquarie Island. Emu 88:219–226") - NOTES: Relevant notes about this source – if it’s a published paper, this is probably the abstract - DOI: The DOI of the source (paper or dataset), in the form "10.xxxx/yyyy" Diet data table - RECORD_ID: The unique identifier of this record - SOURCE_ID: The identifier of the source study from which this record was obtained (see corresponding entry in the sources data table) - SOURCE_DETAILS, SOURCE_DOI: The details and DOI of the source, copied from the sources data table for convenience - ORIGINAL_RECORD_ID: The identifier of this data record in its original source, if it had one - 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 for western hemisphere longitudes) - EAST: The easternmost longitude of the sampling region, in decimal degrees (negative values for western hemisphere longitudes) - SOUTH: The southernmost latitude of the sampling region, in decimal degrees (negative values for southern hemisphere latitudes) - NORTH: The northernmost latitude of the sampling region, in decimal degrees (negative values for southern hemisphere latitudes) - ALTITUDE_MIN: The minimum altitude of the sampling region, in metres - ALTITUDE_MAX: The maximum altitude of the sampling region, in metres - DEPTH_MIN: The shallowest depth of the sampling, in metres - DEPTH_MAX: The deepest depth of the sampling, in metres - OBSERVATION_DATE_START: The start of the sampling period - OBSERVATION_DATE_END: The end of the sampling period. If sampling was carried out over multiple seasons (e.g. during January of 2002 and January of 2003), this will be the first and last dates (in this example, from 1-Jan-2002 to 31-Jan-2003) - PREDATOR_NAME: The name of the predator. This may differ from predator_name_original if, for example, taxonomy has changed since the original publication, if the original publication had spelling errors or used common (not scientific) names - PREDATOR_NAME_ORIGINAL: The name of the predator, as it appeared in the original source - PREDATOR_APHIA_ID: The numeric identifier of the predator in the WoRMS taxonomic register - PREDATOR_WORMS_RANK, PREDATOR_WORMS_KINGDOM, PREDATOR_WORMS_PHYLUM, PREDATOR_WORMS_CLASS, PREDATOR_WORMS_ORDER, PREDATOR_WORMS_FAMILY, PREDATOR_WORMS_GENUS: The taxonomic details of the predator, from the WoRMS taxonomic register - PREDATOR_GROUP_SOKI: A descriptive label of the group to which the predator belongs (currently used in the Southern Ocean Knowledge and Information wiki, http://soki.aq) - PREDATOR_LIFE_STAGE: Life stage of the predator, e.g. "adult", "chick", "larva", "juvenile". Note that if a food sample was taken from an adult animal, but that food was destined for a juvenile, then the life stage will be "juvenile" (this is common with seabirds feeding chicks) - 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. For scat content studies, this will be the number of scats analysed - PREDATOR_SAMPLE_ID: The identifier of the predator(s). If predators are being reported at the individual level (i.e. PREDATOR_SAMPLE_COUNT = 1) then PREDATOR_SAMPLE_ID is the individual animal ID. Alternatively, if the data values being entered here are from a group of predators, then the PREDATOR_SAMPLE_ID identifies that group of predators. 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 group of individuals, 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 sometimes report detailed prey information for a large sample, but then report prey information for various subsamples of that sample (e.g. broken down by predator sex, or sampling season). In the simplest case, the diet of each predator will be reported only once in the study, and in this scenario the PREDATOR_SAMPLE_ID values will simply be 1 to N (for N predators). - PREDATOR_SIZE_MIN, PREDATOR_SIZE_MAX, PREDATOR_SIZE_MEAN, PREDATOR_SIZE_SD: The minimum, maximum, mean, and standard deviation of the size of the predators in the sample - PREDATOR_SIZE_UNITS: The units of size (e.g. "mm") - 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, PREDATOR_MASS_MAX, PREDATOR_MASS_MEAN, PREDATOR_MASS_SD: The minimum, maximum, mean, and standard deviation of the mass of the predators in the sample - PREDATOR_MASS_UNITS: The units of mass (e.g. "g", "kg") - PREDATOR_MASS_NOTES: Notes on the predator mass information, including a definition of what the mass value represents - PREY_NAME: The scientific name of the prey item (corrected, if necessary) - PREY_NAME_ORIGINAL: The name of the prey item, as it appeared in the original source PREY_APHIA_ID: The numeric identifier of the prey in the WoRMS taxonomic register - PREY_WORMS_RANK, PREY_WORMS_KINGDOM, PREY_WORMS_PHYLUM, PREY_WORMS_CLASS, PREY_WORMS_ORDER, PREY_WORMS_FAMILY, PREY_WORMS_GENUS: The taxonomic details of the prey, from the WoRMS taxonomic register - PREY_GROUP_SOKI: A descriptive label of the group to which the prey belongs (currently used in the Southern Ocean Knowledge and Information wiki, http://soki.aq) - 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 - PREY_LIFE_STAGE: Life stage of the prey (e.g. "adult", "chick", "larva") - PREY_SEX: The sex of the prey ("male", "female", "both", or "unknown"). Note that this is generally "unknown" - PREY_SAMPLE_COUNT: The number of prey individuals from which size and mass measurements were made (note: this is NOT the total number of individuals of this prey type, unless all individuals in the sample were measured) - PREY_SIZE_MIN, PREY_SIZE_MAX, PREY_SIZE_MEAN, PREY_SIZE_SD: The minimum, maximum, mean, and standard deviation of the size of the prey in the sample - PREY_SIZE_UNITS: The units of size (e.g. "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, PREY_MASS_MAX, PREY_MASS_MEAN, PREY_MASS_SD: The minimum, maximum, mean, and standard deviation of the mass of the prey in the sample - PREY_MASS_UNITS: The units of mass (e.g. "mg", "g", "kg") - PREY_MASS_NOTES: Notes on the prey mass information, including a definition of what the mass value represents - 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). Note: 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. - 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 may also be reported, using prey_name "None". Note: many papers represent very small dietary contributions as "trace" or sometimes "less than 0.1%". These have been entered as -999 - PREY_ITEMS_INCLUDED: Which prey items were examined? For example, if the data came from a stomach contents study and all stomach contents were counted, this will be "all". Conversely, if only upper squid beaks were counted, this will be "upper beaks" - ACCUMULATED_HARD_PARTS_TREATMENT: Only applicable to methods where hard diet remains can accumulate over time (e.g. stomach content of seabirds). How were accumulated hard parts dealt with? Some stomach content studies try to avoid over-estimation of hard parts by discarding anything other than fresh hard parts. Current values here are "included", "excluded", and "unknown" - QUALITATIVE_DIETARY_IMPORTANCE: A 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, CONSUMPTION_RATE_MAX, CONSUMPTION_RATE_MEAN, CONSUMPTION_RATE_SD: The minimum, maximum, mean, and 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. A single study may have used multiple methods, in which case the IDENTIFICATION_METHOD may contain multiple values (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", "gut pigment", "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 Isotopes data table (Columns that are already described in the "Diet" schema above are not included here) - TAXON_*: As for "PREDATOR_*" in the diet data table - TAXON_SAMPLE_ID: The identifier of the animal(s). If animals are being reported at the individual level (i.e. TAXON_SAMPLE_COUNT = 1) then TAXON_SAMPLE_ID is the individual animal ID. Alternatively, if the data values being entered here are from a group of animals, then the TAXON_SAMPLE_ID identifies that group of animals. TAXON_SAMPLE_ID values are unique within a source. Rows with the same SOURCE_ID and TAXON_SAMPLE_ID values relate to the same individual(s), but may represent different processing methods, different physical samples (see PHYSICAL_SAMPLE_ID) or different analytical replicates (see ANALYTICAL_REPLICATE_ID). In the simplest case, the isotopes of each animal will be reported at the individual-animal level and based on only one processing method, and in this scenario the TAXON_SAMPLE_ID values will simply be 1 to N (for N individual animals) - PHYSICAL_SAMPLE_ID: Where multiple samples were taken from one individual animal, this column will identify the samples. This will be blank kif only one physical sample was taken from each TAXON_SAMPLE_ID, or if the results were aggregated for reporting - ANALYTICAL_REPLICATE_ID: Where the lab analysis was replicated on each physical sample (i.e. multiple sub-samples of each sample were run through the machine), this column will identify the replicates. This column will be blank if the lab analysis for each PHYSICAL_SAMPLE_ID was not replicated, or if the results were aggregated for reporting - ANALYTICAL_REPLICATE_COUNT: If lab analyses were replicated but the data here represent the aggregated results over the replicates, this column will indicate the number of replicates. The ANALYTICAL_REPLICATE_ID column in this case will be blank, because the data pertain to multiple replicates - SAMPLES_WERE_POOLED: If "Y", multiple physical samples were pooled for analysis (likely because of a minimum required volume or mass of matter for the analytical process) - MEASUREMENT_NAME: the name of the quantity being reported ("delta_15N", "C:N mass ratio", "standard length", "wet weight") - MEASUREMENT_MIN_VALUE, MEASUREMENT_MAX_VALUE, MEASUREMENT_MEAN_VALUE, MEASUREMENT_VARIABILITY_VALUE: The minimum, maximum, mean, and variability of the measured values - MEASUREMENT_VARIABILITY_TYPE: the type of variability reported ("SD", "SE") - MEASUREMENT_UNITS: the units of measurement ("per mil", "mm", "mg") - MEASUREMENT_METHOD: a description of the measurement method - ISOTOPES_CARBONATES_TREATMENT: How were carbonates treated in the sample processing? Currently "acidification" (acid used to remove carbonates from samples), "none" (no carbonate treatment), or "unknown" - ISOTOPES_LIPIDS_TREATMENT: How were lipids treated in the sample processing? Currently either "chemical delipidation" (where lipids were removed chemically), "mathematical correction" (where a mathematical model was used to correct for the effects of lipids), "none" (for no lipid treatment), or "unknown" - ISOTOPES_PRETREATMENT: Any other pretreatment (free text) - ISOTOPES_ARE_ADJUSTED: "Y" here indicates that the isotope values have been adjusted in some way not already described in the other columns (e.g. values derived from blood samples might be adjusted to make them comparable to tissue sample values) - ISOTOPES_ADJUSTMENT_NOTES: if ISOTOPES_ARE_ADJUSTED, notes on the adjustment applied (e.g. "Adjusted values are corrected to represent muscle tissue") - ISOTOPES_BODY_PART_USED: Which part of the organism was sampled? Lipids data table (Columns that are already described in the "Diet" or "Isotopes" schemas above are not included here) - MEASUREMENT_NAME: the name of the quantity being reported ("lipid content", "monounsaturated fatty alcohol content", "18:1n-7 content", "wet weight") - MEASUREMENT_CLASS: where the measurement could apply to e.g. either fatty acids or fatty alcohols, this column is used to clarify (e.g. "fatty acid", "fatty alcohol", "triacylglycerol fatty acid", "wax ester fatty acid") Energetics data table All of the columns in this data table have been described in the schemas above. DNA diet data table (Columns that are already described in the schemas above are not included here) - SEQUENCES_TOTAL: The total sequence count for this predator sample - DNA_CONCENTRATION: Sample DNA concentration if recorded, in nM/µl - FRACTION_SEQUENCES_BY_PREY: The fraction of SEQUENCES_TOTAL that this prey type made up (e.g. if Euphausia superba contributed 50% of the total sequences of 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 fraction of predator samples in which this prey item occurred (e.g. if Euphausia superba occurred in half of the scats collected, 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 - SAMPLE_TYPE: Sample type that the DNA was extracted from, e.g. "scat", "stomach content" - DNA_EXTRACTION_METHOD: The method used to extract DNA (e.g. "DNA stool kit", "Maxwell robot", "salting out procedure") - ANALYSIS_TYPE: e.g. "High-throughput sequencing", "cloning", "PCR amplification only" - SEQUENCING_PLATFORM: e.g. "Ion torrent", "Miseq" - TARGET_GENE: The gene area targeted, e.g. "16S", "12S", "18S", "CO1" - TARGET_FOOD_GROUP: For the 18S region, this might be "all eukaryotes"; for 16S or 12S, this might be "fish" or "vertebrates" - FORWARD_PRIMER: The sequence of the forward primer used, in the 5'-to-3' direction - REVERSE_PRIMER: The sequence of the reverse primer used, in the 5'-to-3' direction - BLOCKING_PRIMER: The sequence of the blocking primer if used, in the 5'-to-3' direction - PRIMER_SOURCE_ID: The ID of the paper reference for where the primer was first designed. This reference will likely include the PCR conditions, annealing temperature and alignment of the primers - PRIMER_SOURCE_DETAILS, PRIMER_SOURCE_DOI: The details and DOI of the PRIMER_SOURCE_ID, copied from the sources data table for convenience - SEQUENCE_SOURCE_ID: The database that contains the sequence data, e.g. "Dryad", "GenBank" - SEQUENCE_SOURCE_DETAILS, SEQUENCE_SOURCE_DOI: The details and DOI of the SEQUENCE_SOURCE_ID, copied from the sources data table for convenience - SEQUENCE: DNA sequence for OTU or OTU cluster - OTHER_METHODS_APPLIED: Were there any other methods applied to the sample to either improve amplification or block sequences?

Metadata record for data from ASAC Project 2301 See the link below for public details on this project. ---- Public Summary from Project ---- This study develops and combines the latest molecular and electronics technology into a comprehensive investigation of diet and food-web relationships of Southern Ocean predators (whales, seals, penguins) and commercial marine resources (krill, fish, squid). This type of information is essential for ecosystem models that set sustainable catch limits for fisheries. From the abstract of the referenced paper: We describe seven group-specific primer pairs that amplify small sections of ribosomal RNA genes suitable for identification of animal groups of major importance as prey items in marine ecosystems. These primer sets allow the isolation of DNA from the target animal groups from mixed pools of DNA, where DNA-based identification using universal primers is unlikely to succeed. The primers are designed for identifying prey and animal diets, but could be used in any situation where these animal groups are to be identified by their DNA. Progress report from the 2006/2007 Season: Overall objective This new multi-year initiative project within the AMLR program aims to develop and combine the latest molecular and electronics technology to facilitate a comprehensive investigation of appropriately scaled and strategically located trophodynamics of Southern Ocean higher marine predators and commercial marine living resources. The objectives and early experimental design are largely responsive to needs determined by the Australian Antarctic Division's core-function obligations to CCAMLR, as well as other international organisations, the most relevant of which are the International Whaling Commission (IWC) and Southern Ocean Global Ocean Ecology Dynamics (SO-GLOBEC). Traditionally studies of diet of higher predators have often relied upon the use of a single, uncalibrated, methodology, and samples are usually collected in a manner that precludes stratification by age and sex class. Such studies are often subordinate experiments to a larger overall project. In contrast, the power of this new initiative project will be its focus on calibration across a suite of established and novel molecular and macroscopic techniques, feeding trials in controlled situations, direct linkage of samples to age and sex classes, and a detailed knowledge of the foraging behaviour of a sub-set of sampled animals. The parallel development and incorporation of electronic tools to measure predator foraging ecology further strengthens this work. In order to achieve the aims of this study a multi-disciplinary, widely collaborative and multi-streamed program has been developed. Methodological development underpins the potential power of this project to delivery its objectives. The detailed design-phase of incorporating these new approaches into an experimental framework will follow this developmental phase. In order to best represent the sub-objectives of each phase of this study, the work has been divided into the following core components: * Experimental Design (phase 1: methodological development) * Development of DNA-based molecular techniques to measure prey harvesting * Validation trials of molecular techniques * Modelling/analysis to develop a matrix of methodologies to best predict prey composition in predator diet * Development of electronic equipment to measure prey harvesting * Validation trials of electronic equipment * Experimental Design (phase 2: ecological experiments) * Integrated, question driven, field experiments Some components of this work will run contemporaneously (eg. development of molecular and electronic tools). This project has now been completed. The novel DNA based methods for studying animal diet have been researched thoroughly in controlled conditions and demonstrated to be useful and an advance on existing methods. The DNA based dietary methods have also been successfully applied to studying the diet of Blue whales, Fin whales, Antarctic fur seals, Macaroni penguins, Antarctic krill and bottlenose dolphins.

Distribution, abundance and dates of relict Adelie Penguin colonies in the Australian Antarctic Territory (AAT). Current mapping efforts have focused on the Windmill Islands in preparation for a PhD study to commence in 2004/05 with the two investigators. The planned PhD study will work at either the Windmill Islands or the Vestfold Hills. This project integrates ASAC projects 1219 and 1322 (ASAC_1219, ASAC_1322). The fields in the excel spreadsheet are: Radiocarbon Samples Isotope Samples Site - list of precise locations provided in the downloadable paper Level - horizontal stratum (depth), given in 5cm blocks Species Material Weight (g) Notes Lab no. Uncorrected Date (BP) - (day) Standard Deviation Delta R - range of corrected date for sample, 2 standard deviations either side of the mean Mean - estimated mean of sample date See the paper included in the download file for further information.

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 based sorting Fritiliaria drygalski - count of Fritillaridae's from ship and laboratory based sorting Oiklopleura gaussica - count of Oikopleuridae's from ship and laboratory based sorting Alive - count of live appendicularians from ship based sorting SEM IMAGE - individual appendicularians and/or O. gaussica stomach SEM images have been taken SEM Stub number - stub number that is first two numbers of SEM images SAMPLE TYPE - BARCODE Zooplankton - cod-end contents sieved and preserved Appendicularians - sorted from cod-end Live - live appendicularians (now preserved) Other 1- samples that did not fit in to the above categories or additional samples for station Other 2- additional samples for station that did not fit in to the above categories This work was completed as part of ASAC projects 2655 and 2679 (ASAC_2655, ASAC_2679).

Carbon and nitrogen stable isotope data for a range of benthic invertebrates, macroalgae, phytoplankton, sea ice algae and fish from shallow marine coastal region around Davis Station. Part of the TRENZ program (The TRophic Ecology of the antarctic Nearshore Zone: local and global constraints on patterns and processes), and AAS project 2948.

A variety of epifaunal invertebrates were collected from hard substrates and soft sediment habitats at various sites in the Windmill Islands near Casey station in East Antarctica. Collected fauna were frozen (-18oC) and returned to Australia for analysis. Stable isotope analysis (carbon and nitrogen) was conducted on 376 samples. This work was completed as part of ASAC project 2948 (ASAC_2948), "TRENZ: The TRophic Ecology of the antarctic Nearshore Zone: local and global constraints on patterns and processes".

Crustaceans are an important component of the Antarctic marine ecosystem. Large numbers live in or close to the sea-ice cover, using it as a refuge from predation and a source of food. However, the impact of these animals on algae that grows in the sea ice is unknown. This study is examining the diets and grazing rates of crustaceans in the Antarctic sea-ice ecosystem. These results will aid our understanding of the fate of algal production in sea-ice and will enable the construction of realistic carbon budgets for this ecosystem. This project was commenced in July 2002. A five-week voyage was undertaken on the RV Aurora Australis in October and November 2002, in the vicinity of the Mertz Glacier. Pack ice cores and sub-ice water samples were collected from 8 locations, with 3 to 5 samples of each type collected per site. The cores were sectioned in the field, melted and treated for further analysis. All samples were either preserved or frozen, depending on future requirements, and returned to Australia. Sea ice cores were processed for a range of analyses including microscopy, lipid class and fatty acid determination and stable isotope analysis. A physical description of the pack ice environment (ice type, ice thickness, snow cover, temperature profiles, salinity profiles) was also compiled. A second sampling of the pack ice occurred in Sept-Oct 2003. To date, the salinity and temperature profiles of the pack ice cores have been described and a database compiled of the physical description of the region. A large number of samples (10 sites; 5 ice/water/animal samples per site) was collected and analysis has begun of stable isotopic signatures, fatty acids, chlorophyll a and species identifications. Crustaceans have been sorted under the microscope and initial descriptions of gut contents begun. The third successful sampling trip was to the fast ice surrounding Davis Station during the 2003/04 summer. Two sites were sampled regularly, with a full suite of analyses undertaken. This will provide a temporal component to the project to complement the spatial approach used in the pack ice. Analysis of the fast ice samples is ongoing. Two more sampling trips were carried out during the 2004/05 season. The first in the pack ice offshore from Casey and the second in the fast ice at Casey. The same suite of analyses as listed above was carried out and analyses are ongoing. The download file contains five excel spreadsheets, as well as a word document which further explains data collection.

These data contain results from grazing dilution experiments conducted during BROKE-West. Experiments were conducted at 22 locations on the BROKE-West transect. Data are presented in an excel spreadsheet containing sample collection information (longitude, latitude, UTC date and time, depth), experiment details (incubation time, dilution series), experiment results (chlorophyll a, bacterial concentrations, heterotrophic flagellate concentrations, phytoplankton concentrations, microzooplankton concentrations, geometric mean predator density, phytoplankton growth rates, microzooplankton grazing rates for bacteria and phytoplankton, bacterial growth rates). This work was completed as part of ASAC projects 2655 and 2679 (ASAC_2655, ASAC_2679).

This metadata record covers ASAC projects 113, 191 and 625. (ASAC_113, ASAC_191, ASAC_625). The total lipid, fatty acid, sterol and pigment composition of water column particulates collected near the Australian Antarctic Base, Davis Station, were analysed over five summer seasons (1988-93) using capillary GC, GC-MS, TLC-FID and HPLC. Polar lipids were the dominant lipid class. Maximum lipid concentrations usually occurred in samples collected in December and January and corresponded with increased algal biomass. Both lipid profiles and microscopic observations showed significant variation in algal biomass and community structure in the water column during each season and on an interannual basis. During the period of diatom blooms (predominantly Nitzschia species) the dominant sterol and fatty acid were trans-22-dehydrocholesterol and 20:5w3, accompanied by a high 16:1w7 to 16:0 ratio. Very high polyunsaturated fatty acid and total lipid concentrations were associated with diatom blooms in the area. Bacterial markers increased late in all seasons after the summer algal blooms. Long chain C30 sterols also increased during the latter half of all seasons. Fjord samples collected in the area reflected greater biomass and diversity in algal and bacterial makers than coastal sites. Signature lipids for the alga Phaeocystis pouchetii, thought to be a major alga in Antarctic waters, were identified in field samples over the five summer seasons studied. Methods Study site Davis Base is situated on the Vestfold Hills, Antarctica and incorporates numerous lakes and fjords (Fig. 1). Samples of water column particulate matter were collected during five summer seasons (1988-93), 500 meters off-shore from Magnetic Island, situated 5 km NW of Davis. Three other sampling areas were situated in the fjords of the Vestfold hills and include two sites in Ellis Fjord, one midway along Ellis Fjord and one near Ellis Fjord mouth and one sample midway along Long Fjord (Fig. 1). These fjords are protected from the marine environment, but are both marine fjords. Davis Station and Magnetic Island were used for the weekly sample sites. The mouth of Long Fjord, the mouth of Ellis Fjord, midway down Long Fjord, the deep basin in Ellis Fjord, O'Gorman Rocks and Hawker island (ocean side) were used for monthly samples. Field collection There was an initial pilot season in 1988-89, which was followed by two more detailed studies in the summers of 1989-90 and 1990-91. Four samples was also analysed from the 1991-92 and five from the 1992-93 summer seasons. During the initial pilot study at Magnetic Island in the 1988-89 summer, three water column particle samples were taken for lipid analyses. The 1989-90 and 1990-91 summer field seasons incorporated weekly sampling of the water column particulates at Magnetic Island. The phytoplankton in the fjords were studied during the summers of 1989-90 and 1990-91. The three sites that were chosen were all sampled three times in each season. Samples were also collected during the 1989-90 and 1990-91 seasons from the Magnetic Island and Fjord site s for pigment analyses. Three and five samples were collected respectively in the 1991-92 and 1992-93 seasons. Samples were also taken for microscopic analyses. For lipid analyses 30-40 liter water column particulate samples were collected at a depth of 10 m. A Seastar or INFILTREX water sampler was used in situ to filter the water through a 14.2 cm Schleicher and Schuell glass fibre filter over a three to four hour period. All filters used during sampling were preheated in a muffle furnace at 500 degrees C overnight to minimise contamination. For pigment analyses 2 to 4 litres were filtered through glass fibre filters (4.7 cm GF/F, nominal pore size 0.7 micro meters). The samples were frozen at -20 degrees C until extraction.

Project Objectives 1) To describe trophic relationships in near shore marine benthic ecosystems of East Antarctica and determine the importance of environmental forces (such as sea ice and primary production) to the structure of food webs and biological interactions in benthic assemblages. 2) To determine how marine benthic food webs in East Antarctica respond to local scale disturbances (such as sewage outfalls and abandoned waste disposal sites) and develop predictive models of the influence of local human activities on trophic relationships. 3) To develop predictive models for the potential effects of global climate change on the trophic structure and function of near shore marine benthic assemblages and determine the sensitivity of Antarctic near shore ecosystems as sentinels of climate change. 4) To measure toxicity of organic contaminants to Antarctic marine benthic invertebrates, determine concentrations in upper trophic level fauna and to model the risk of bioaccumulation of organic contaminants (from local and global sources) in near shore marine benthic food webs in East Antarctica. Collections of organisms from coastal ecosystems around Casey and Davis stations were made between 2006/07 and 2010/11. These samples have been used in a variety of ways to examine trophic interactions in Antarctic coastal ecosystems. Methods include stable isotope analysis, diet and gut contents DNA analysis, analysis of POPs (persistent organic pollutants) and the impacts of local disturbances on food webs.