AndreaBozzo/ceres-open-data-index huggingface dataset:
Sampling RUV

This dataset is to replicate analyses in the publication titled &ldquo;Optimizing remote underwater video sampling to quantify relative abundance, richness, and corallivory rates of reef fish&rdquo; in Coral Reefs (2025). https://doi.org/10.1007/s00338-024-02613-6.
This study was conducted as part of the Ecological Intelligence for Reef Restoration and Adaptation Program (EcoRRAP) (https://gbrrestoration.org/program/ecorrap/).
Data were video annotations from remote underwater videos (1080p, 60fps) recorded at 5 m depth at eight reef sites from Apr 2021 to Jan 2022. The optimal sampling strategies were developed by examining the precision and accuracy of estimates to enhance video analysis efficiency while minimizing the sampling errors of relative abundance, richness, and corallivory rates of reef fish.
Data and an R markdown are stored on the Sydney eScholarship (https://hdl.handle.net/2123/33520), and videos are stored on the AIMS data server and available on request due to large file sizes.

Organization: Australian Ocean Data Network
Amery Ice Shelf Dynamics from GPS

The data sets consist of static GPS data collected on the Amery Ice Shelf using Leica CRS1000 receivers. Additional data at Landing Bluff, Dalton Corner and Beaver Lake were collected by ANU (see ASAC project 1112). All data are provided in UNIX Z compressed RINEX (Receiver INdependent EXchange) format, as described in the IGS standards - see http://www.igs.org/products
The standard RINEX file naming convention is used, i.e., an eight digit file name as bbbbddds.yyt, where bbbb refers to a four digit station name, ddd refers to the day number of the year, s refers to a session number and yyt is the file extension number where yy refers to the year and t defines the file type (o for observation file and n for navigation file).  All files are compressed using the UNIX Z compression scheme, as shown by the extension .Z. For example, base0010.00o.Z and base0010.00n.Z. 
The files are set out in the following directories on the ftp site:
season1999_2000
\amery
\land
\raw
Data are also available for download from the Australian Antarctic Data Centre at the provided URL.
Raw data, where available, is stored in the aw directory in standard Leica LB2 Binary format.  Conversion routines are available: 
http://www.unavco.org/software/software.html
GPS data collected at the permanent stations at Casey, Davis and Mawson are available from Geoscience Australia (previously AUSLIG) - see http://www.ga.gov.au/geodesy/antarc/antgps.jsp
The fields in this dataset are:
GPS
marker number
marker name
observer/agency
approximate position
antenna
wavelength
interval

Tags: AMD, AMD/AU, ANTENNA, APPROXIMATE POSITION, CEOS, CONTINENT > ANTARCTICA > Amery Ice Shelf, CONTINENT > ANTARCTICA > Beaver Lake, CONTINENT > ANTARCTICA > Landing Bluff, EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > GLACIER ELEVATION/ICE SHEET ELEVATION, EARTH SCIENCE > CRYOSPHERE > GLACIERS/ICE SHEETS > ICE SHEETS, EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ICE MOTION, EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > ICE VELOCITY, EARTH SCIENCE > OCEANS > TIDES > TIDAL HEIGHT, FIELD INVESTIGATION, FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, GPS, GPS > Global Positioning System, GPS RECEIVERS, INTERVAL, MARKER NAME, MARKER NUMBER, OBSERVER/AGENCY, WAVELENGTH
Organization: Australian Ocean Data Network
Sea-ice freeboard derived from airborne laser scanner

The dataset submitted here is 'Sea-ice freeboard derived from airborne laser scanner'.
Between 2007 and 2012, the Australian Antarctic program operated a scanning LiDAR system and other scientific instruments for sea-ice geophysical surveys in East Antarctica. For example see Lieser et al. [2013] for the 2012 survey. The dataset here provides the sea-ice freeboard (i.e. elevation above sea level) along various helicopter flight lines of the 2012 survey in the sea-ice zone between 113 degE and 123 degE.
The data collection was based on:
- Riegl LMS Q240i-60 scanning LiDAR, measuring sea ice elevation above the WGS84 reference ellipsoid;
- Hasselblad H3D II 50 camera, taking aerial photographs at about 13 cm resolution every 3-5 seconds (older digital camera used in 2007);
- inertial navigation and global positioning system, OxTS RT-4003. 
The following geophysical corrections were applied to the sea-ice elevations to derive the sea-ice freeboard:
- geoid correction (from the EGM2008 Earth gravity model);
- mean ocean dynamic topography correction (from the DTU Space model - DTU10MDT);
- ocean tide correction (from the Earth and Space Research CATS2008 Antarctic tide model);
- atmospheric pressure (inverse barometer effect) correction from ECMWF data (4-year average) and ship-board underway observations.
The geophysical corrections have been validated along selected flight lines by extracting ocean surface elevations from leads between ice floes as identified in the aerial photography.
Contained in this dataset are the following files:
- a netCDF file for 8 selected flights of the 2012 survey containing sea-ice freeboard values;
- a postscript file for 4 of the 8 selected flights showing the residuals from the applied geophysical corrections. These 4 flights were selected on the basis of having a good spread of observable leads along the entire flight line that enabled the extraction of ocean surface elevations.

Tags: AIRBORNE LASER SCANNER, AMD, AMD/AU, CAMERAS, CEOS, EARTH SCIENCE > CRYOSPHERE > SEA ICE > FREEBOARD, GEOGRAPHIC REGION > POLAR, HELICOPTER
Organization: Australian Ocean Data Network
Diffusive Gradients in Thin Films (DGT) Methodology for Selective and Spatially Discriminating Binding of Metal Ions

Metadata record for data from ASAC Project 2665
See the link below for public details on this project.
The Antarctic environment with its harsh climatic conditions, minimal human activity and its unique ecosystems is unlike any of the World's other environments. As such, it is important that an understanding of the Antarctic environment is developed in order to gain a full appreciation of the impacts of human activities in Antarctica and to determine the most effective means to remediate and protect the Antarctic environment. To achieve these goals, new sensitive and selective techniques for sampling metal contaminant levels in marine sediments are being developed.
The project is not an environmental study of the Antarctic environment (ie no metal concentrations in water or sediments), but rather the development of an analytical technique for use in Antarctica.  We are still in the process of developing this technique and much of the development phase has involved qualitative assessment rather than generating quantitative data.  We are currently trialling the technique in the lab and will conduct field trials in the Derwent Estuary.
Taken from the abstract of the referenced paper:
A novel binding phase was developed for use in diffusive gradients in thin-film (DGT) sampling for Cu(II) by employing methylthymol blue as a chelating and chromogenic agent. Methylthymol blue was adsorbed onto beads of Dowex 1x8 resin (200-400 mesh) and the resin beads were then immobilised onto an adhesive disc. Analysis of exposed binding discs by either UV-vis spectrophotometry or computer imaging densitometry provided robust quantification of adsorbed Cu(II) in the 0.2-1 micro gcm-2 range, allowing detection at micro gL-1 concentrations in the test solution (ca. 17 micro gL-1 for a 24 h deployment), and in good
agreement with established DGT theory. The method was shown to be a potential replacement for binding phases based on Chelex 100 where a colorimetric response to a specific metal is desired.

Tags: AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, CONTINENT > AUSTRALIA/NEW ZEALAND > AUSTRALIA, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > ESTUARY, EARTH SCIENCE > HUMAN DIMENSIONS > ENVIRONMENTAL IMPACTS > CONTAMINANT LEVELS/SPILLS, EARTH SCIENCE > OCEANS > MARINE ENVIRONMENT MONITORING, EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROCESSES > ION EXCHANGE, GEOGRAPHIC REGION > POLAR, LABORATORY, SHIPS, benthic, contaminants, diffusive gradients, heavy metals, thin films
Organization: Australian Ocean Data Network
Effects of ocean acidification on Antarctic marine microbes - parent record

This metadata record is the parent umbrella under which data from the 2008/09, 2013/14 and 2014/15 summer will be housed.  See the child records for access to the data.
Manmade CO2 has increased ocean acidity by 30% and it is projected to rise 300% by 2100. Antarctic waters will be amongst the earliest and most severely affected by this increase. Microbes are the base of the marine food chain and primary drivers of the biological pump. This project will incubate natural communities of Antarctic marine microbes in minicosms at a range of CO2 concentrations to quantify changes in their structure and function, the physiological responses that drive these changes, and provide input to models that predict effects on biogeochemical cycles and Antarctic food webs

Tags: AMD, AMD/AU, CEOS, CO2 ANALYZERS, CONTINENT > ANTARCTICA > Davis Station, Cell size, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > BACTERIA/ARCHAEA, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > PLANKTON > PHYTOPLANKTON, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > BIOMASS DYNAMICS, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION, EARTH SCIENCE > CLIMATE INDICATORS > PALEOCLIMATE INDICATORS > BIOLOGICAL RECORDS > POPULATION ABUND, EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON, EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE, FIELD INVESTIGATION, FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, LABORATORY, Marine Microbes, OCEAN > SOUTHERN OCEAN, Ocean acidification
Organization: Australian Ocean Data Network
Limnological and nearshore diatom communities of Heard Island: proxies of subantarctic climate change?

---- Public Summary from Project ----
Heard Island offers scientists a unique subantarctic laboratory for investigating climate change. We will establish a reference set of microalgal floras from lakes and lagoons and ultimately use the microalgal floras of today to investigate changes in fossil microalgal communities of Heard Island lake and lagoonal ecosystems to better understand regional subantarctic climate changes.
Sediments were sampled with hand corers.
Water samples were collected with a Niskin bottle.
The dataset contains a summary of the locations data were sampled from, as well as average isotope concentrations from each sampling location.
The fields in this dataset are:
Date
Location
Salinity
pH
GPS
Isotopes
Concentration (ppb)

Tags: AMD, AMD/AU, CEOS, CLIMATE CHANGE, CONCENTRATION, CONTINENT > AUSTRALIA/NEW ZEALAND > AUSTRALIA > Heard Island, DATE, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS > MICROALGAE > DIATOMS, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PROTISTS > DIATOMS, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > COMMUNITY DYNAMICS > COMMUNITY STRUCTURE, FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, GPS, ISOTOPE, LIMNOLOGY, LOCATION, OCEAN > SOUTHERN OCEAN > HEARD AND MCDONALD ISLANDS, OCEAN > SOUTHERN OCEAN > Heard Island, PH, SALINITY, SEDIMENT CORERS, WATER BOTTLES
Organization: Australian Ocean Data Network
Event logs and station lists from all CEAMARC voyages by the Aurora Australis, Astrolabe and Umitaka Maru

Copies of the event logs/station lists taken from the Aurora Australis, Astrolabe and Umitaka Maru during their CEAMARC cruises (collaborative East Antarctic Marine Census).

Tags: AMD, AMD/AU, AMD/FR, AMD/JP, Astrolabe, Aurora Australis, CEAMARC, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > FISH, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > COMMUNITY DYNAMICS > INDICATOR SPECIES, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > PHYTOPLANKTON, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > AQUATIC ECOSYSTEMS > PLANKTON > ZOOPLANKTON, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > BENTHIC, EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > MARINE ECOSYSTEMS > PELAGIC, EARTH SCIENCE > OCEANS > MARINE ENVIRONMENT MONITORING, EARTH SCIENCE > OCEANS > MARINE SEDIMENTS, EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE, EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > WATER TEMPERATURE, EARTH SCIENCE > OCEANS > SALINITY/DENSITY, EARTH SCIENCE > OCEANS > SALINITY/DENSITY > CONDUCTIVITY, EARTH SCIENCE > OCEANS > SALINITY/DENSITY > SALINITY, GEOGRAPHIC REGION > POLAR, OCEAN > SOUTHERN OCEAN, R/V AA > R/V Aurora Australis, R/V UM > R/V UMITAKA MARU, SHIPS, Umitaka Maru
Organization: Australian Ocean Data Network
Australian Antarctic Territory Coastline 2003

The 'Australian Antarctic Territory coastline 2003' dataset is a digital vector representation of the coastline of Antarctica, between 45 to 160 degrees east, based on both the edge of permanent ice and grounding line, derived by means of remote sensing interpretation.
A 'proof of concept' methodology over a test area was carried out to compare a number of complementary remote sensing techniques, including interferometry and airborne ice radar profiling, to confirm validation of grounding line as mapped from Landsat 7 ETM+ imagery. This methodology concept then served to validate grounding line locations elsewhere along the coast of the AAT.
The National Mapping Division of Geoscience Australia and the Australian Antarctic Division developed this dataset as a joint project.
Where available, Australian Antarctic Division supplied large-scale vector data of various areas around the AAT, which were included as part of the main coastline dataset. These included:

Holme Bay 1:25,000 GIS dataset
Larsemann Hills - Mapping from aerial photography captured February 1998
Rauer Group 1:50000 Topographic GIS Dataset
Vestfold Hills Topographic GIS Dataset
Windmill Islands 1:50000 Topographic GIS Dataset
Cape Denison and McKellar Islands GIS dataset from Ikonos satellite imagery

Refer to the metadata record for each of these datasets for further information.
The coastline dataset is comprised of three parts: one polygon coverage consisting of ice features, and another one consisting of coastal features. A third coverage consists of only island point features (islands too small to be shown as polygons).
This dataset supersedes  the Australian Antarctic Territory Coastline 2001 dataset which is also part of SCAR's Antarctic Digital Database (ADD) version 4 and version 5. It replaces data digitised from Landsat 4 and 5, with that from Landsat 7 ETM+, because of its more reliable positional accuracy and more recent acquisition.
The Australian Antarctic Territory Coastline 2001 dataset and metadata record have been archived. Please contact the Australian Antarctic Data Centre if you would like a copy of this data and metadata.

Tags: AMD, AMD/AU, ASTER > Advanced Spaceborne Thermal Emission and Reflection Radiometer, CEOS, COASTLINE, CONTINENT > ANTARCTICA, EARTH SCIENCE > HUMAN DIMENSIONS > BOUNDARIES > ADMINISTRATIVE DIVISIONS, EARTH SCIENCE > HUMAN DIMENSIONS > BOUNDARIES > BOUNDARY SURVEYS, EARTH SCIENCE > HUMAN DIMENSIONS > BOUNDARIES > POLITICAL DIVISIONS, ETM+ > Enhanced Thematic Mapper Plus, GEOGRAPHIC REGION > POLAR, GROUNDING LINE, LANDSAT, LANDSAT-7, PERMANENT ICE EDGE, RADARSAT-1, REMOTE SENSING, SAR > Synthetic Aperture Radar, SATELLITES
Organization: Australian Ocean Data Network
Investigations of bacterial, viral and parasitic infections in Antarctic penguins, and the development of a standardised monitoring scheme

This dataset contains data revealing the incidence of bacterial, viral and parasitic disease causing agents in Antarctic bird populations. Samples for disease analysis have been collected from various species of Antarctic birds during the course of ASAC project 953 and are stored at the Department of Microbiology, University of Western Australia and CSIRO Australian Animal Health Laboratories (AAHL). All analysis is being performed at the Department of Microbiology, University of Western Australia. A summary of samples collected and stored for each species is listed below.
Adelie penguin (Pygoscelis adeliae): Serum (blood) and faecal (cloacal) swabs were collected from chicks and adults in the Mawson station area, the Vestfold Hills and Terra Nova Bay. Samples from approximately 1200 birds have been stored. Tissue samples have been collected from chick carcasses found in the Vestfold Hills area.  Carcasses were collected on an opportunistic basis.
Emperor penguin (Aptenodytes forsteri): Serum (blood) and faecal (cloacal) swabs were collected from chicks at Amanda Bay, Auster and Cape Washington. Tissue samples have been obtained from 20 chick carcasses collected from Auster Rookery.
South polar skua (Catharacta maccormicki): Serum (blood) and faecal (cloacal) swabs were collected from 125 adult birds in the Vestfold Hills area.
This project has close ties with ASAC project 1336 (ASAC_1336 - South polar skuas as vectors of disease).  See that metadata record for related datasets.
The fields in this dataset are:
Infectious bursal disease virus
Avian influenzae
Avian adenovirus
Sample
Species
Age
Year
Region
Colony Location
Stage of Breeding Season
Blood Sample
Cloacal Swab
Serum

Tags: ADELIE PENGUIN, AGE, AMD, AMD/AU, AVIAN ADENOVIRUS, AVIAN INFLUENZAE, BLOOD SAMPLE, CEOS, CLOACAL SWAB, COLONY LOCATION, CONTINENT > ANTARCTICA, CONTINENT > ANTARCTICA > Amanda Bay, CONTINENT > ANTARCTICA > Auster, CONTINENT > ANTARCTICA > Bechervaise Island, CONTINENT > ANTARCTICA > Vestfold Hills, CONTINENT > ANTARCTICA > Welch Island, DISEASE, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS, EMPEROR PENGUIN, GEOGRAPHIC REGION > POLAR, IBDV, INFECTIOUS BURSAL DISEASE VIRUS, REGION, SAMPLE, SERUM, SOUTH POLAR SKUA, SPECIES, STAGE OF BREEDING SEASON, YEAR
Organization: Australian Ocean Data Network
Sea Ice Observations from the Akademic Fedorov (36th Russian Antarctic Expedition)

These data describe pack ice characteristics in the Antarctic sea ice zone.
These data are in the ASPeCt format.
National program:  Russia
Vessel:  Akademic Fedorov
Dates in ice:  15 Dec 1990 - 17 Jan 1991
Observers:  Unknown
Translation to ASPeCt format:  Vladimir Smirnov
Summary of voyage track:
15/12  Ice edge at approx. 60S, 23E
15-22/12  Steam to Molodezhnaya (45E)
24-28/12  Steam to Progress (75E)
28-31/12  Steam to Mirny (93E)
1-7/1  Ship stopped at Mirny
8-14/1  Vicinity of Mirny, Farr Bay
16-17/1  Steam to ice edge at approx. 64S, 94E
The fields in this dataset are:
SEA ICE CONCENTRATION
SEA ICE FLOE SIZE
SEA ICE SNOW COVER
SEA ICE THICKNESS
SEA ICE TOPOGRAPHY
SEA ICE TYPE
RECORD
DATE
TIME
LATITUDE
LONGITUDE
OPEN WATER
TRACK
SNOW THICKNESS
SNOW TYPE
SEA TEMPERATURE
AIR TEMPERATURE
WIND VELOCITY
WIND DIRECTION
FILM COUNTER
FRAME COUNTER FOR FILM
VIDEO RECORDER COUNTER
VISIBILITY CODE
CLOUD
WEATHER CODE
COMMENTS

Tags: ACE/CRC, AIR TEMPERATURE, AMD, AMD/AU, ARCTIC, ASPECT > Antarctic Sea Ice Processes and Climate, CEOS, CLOUD, COMMENTS, DATE, EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE DEPTH/THICKNESS, EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE FLOES, EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES, EARTH SCIENCE > CRYOSPHERE > SEA ICE > PACK ICE, EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE CONCENTRATION, FILM COUNTER, FRAME COUNTER FOR FILM, GEOGRAPHIC REGION > POLAR, LATITUDE, LONGITUDE, OCEAN > ARCTIC OCEAN, OCEAN > SOUTHERN OCEAN, OPEN WATER, RECORD, SEA ICE CONCENTRATION, SEA ICE FLOE SIZE, SEA ICE SNOW COVER, SEA ICE THICKNESS, SEA ICE TOPOGRAPHY, SEA ICE TYPE, SEA TEMPERATURE, SHIPS, SNOW THICKNESS, SNOW TYPE, TIME, TRACK, VIDEO RECORDER COUNTER, VISIBILITY CODE, WEATHER CODE, WIND DIRECTION, WIND VELOCITY
Organization: Australian Ocean Data Network
Satellite-derived high-resolution sea-ice motion, 2007-2011 - Envisat Satellite Data

Envisat was was launched on 01/03/2002, by ESA and operated until 08/04/2012. It provided suitable imagery for the austral winters (May - November) of 2007 to 2011. Envisat caried a C-band (5.33 GHz; wavelength ∼ 5.6 cm) Advanced Synthetic Aperture Radar [ASAR], capable to acquire data in multiple modes (image, alternating polarization, wave, ScanSAR (wide swath), and ScanSAR (global monitoring)) at various incidence angles and in several polarisations. 
Of ASAR's five distinct measurement modes, the following two modes may be used to derive sea-ice motion from overlapping images in our project: 
1. ASAR Wide Swath Mode -- 400 km by 400 km wide swath image. Spatial resolution of approximately 150 m by 150 m for nominal product. VV or HH polarization. 
2. ASAR Global Monitoring Mode -- Spatial resolution of approximately 1000 m in azimuth by 1000 m in range for nominal product. Up to a full orbit of coverage. HH or VV polarization.
For further detail, see ESA's Copernicus web portal.
Sea-ice motion is derived from suitable SAR image pairs with sufficient spatial overlap but relatively short time separation, i.e. ideally 6days or less. Image-crosscorrelation analysis is employed to identify displacement vectors within the image pair. The underlying processing and analysis is part of the (mostly) automated IMCORR [IMageCORRelation] Processing, Analysis and Display System [IPADS]. This study uses C-band (HH polarisation) ASAR scenes, with an image pixel size of 75 m across a 405 km swath. -- For further information see Giles et al., Semi-automated feature-tracking of East Antarctic sea ice from Envisat ASAR imagery, Remote Sensing of Environment, 115, 2267-2276, 2011.
Acknowledgement: 
All Envisat ASAR data are courtesy of the European Space Agency, and were obtained under agreement with ESA.
The International Space Science Institute (ISSI), Bern, Switzerland, is acknowledged for supporting this study via Projects 137 and 169.

Tags: ACE/CRC, AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA, EARTH SCIENCE > CRYOSPHERE > SEA ICE > SEA ICE MOTION, EARTH SCIENCE > OCEANS > SEA ICE > SEA ICE MOTION, ENVISAT > Environmental Satellite, GEOGRAPHIC REGION > POLAR, IMAGE CROSSCORRELATION, OCEAN > SOUTHERN OCEAN, SAR > Synthetic Aperture Radar
Organization: Australian Ocean Data Network
Adelie Penguin Distributions in the Davis Area, Antarctica

This dataset contains data on the habitats, distribution and numbers of Adelie Penguins (Pygoscellis adeliae) along the Vestfold Hills coast (including colonies on the mainland and offshore islands) during November 1973. The data are obtained from counts at the colonies and black and white photographs. Some aerial photographs were taken at Davis in 1981-82 and 1987-88, and will be compared to the results of this survey. The results are listed in the documentation. A total of 174178  26127 breeding pairs were counted. An increase in Adelie penguin population was found at most locations in East Antarctica.
Data from this record has been incorporated into a larger Adelie penguin dataset described by the metadata record - Annual population counts at selected Adelie Penguin colonies within the AAT (SOE_seabird_candidate_sp_AP).  It also falls under ASAC project 1219 (ASAC_1219).

Tags: ADELIE PENGUINS, AMD, AMD/AU, ANTARCTICA, CEOS, COML > CENSUS OF MARINE LIFE, CONTINENT > ANTARCTICA, DAVIS, DISTRIBUTION, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/VERTEBRATES > BIRDS > PENGUINS, EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > SPECIES/POPULATION INTERACTIONS > MIGRATORY RATES/, FIELD INVESTIGATION, FIELD SURVEYS, GEOGRAPHIC REGION > POLAR, OBIS > OCEAN BIOGEOGRAPHIC INFORMATION SYSTEM
Organization: Australian Ocean Data Network