AndreaBozzo/ceres-open-data-index huggingface dataset:
Assets of Australian-located Operations by Country

In March 2003, banks and selected Registered Financial Corporations (RFCs) began reporting their international assets, liabilities and country exposures to APRA in ARF/RRF 231 International Exposures. This return is the basis of the data provided by Australia to the Bank for International Settlements (BIS) for its International Banking Statistics (IBS) data collection. APRA ceased the RFC data collection after September 2010.

The IBS data are based on the methodology described in the BIS Guide on International Financial Statistics (see http://www.bis.org/statistics/intfinstatsguide.pdf; Part II International banking statistics). Data reported for Australia, and other countries, on the BIS website are expressed in United States dollars.

Data are recorded on an end-quarter basis.

There are two sets of IBS data: locational data, which are used to gauge the role of banks and financial centres in the intermediation of international capital flows; and consolidated data, which can be used to monitor the country risk exposure of national banking systems. Only locational data are reported in this statistical table and all assets are reported at market value.  

Data are shown for a range of countries and regions. Similar data for a selected group of countries are also available in B12.1.

Country and regional groupings are based on the classification used in the IBS.

This statistical table contains seven data worksheets. Six present data for countries within each specified region, while the 'Summary' worksheet shows total international assets of Australian-located banks (and RFCs between March 2003 and September 2010) for each region, and Australia. In each of these worksheets, the data in the last column measures total international assets for the region. Total international assets for each country add to total international assets for the region. However, in some quarters, this cannot be directly verified because data for individual countries and regions have blank entries in order to avoid disclosing confidential bank exposures.

In the 'Summary' worksheet, the positions by region are summed to produce a ‘Total non-residents’ figure that represents reporting entities’ total positions with offshore counterparties in all currencies. The positions shown for 'Australia' are positions with residents in foreign currency.


Tags: banks, finance, rba, rfcs, statistics
Organization: Reserve Bank of Australia
Assets and Liabilities of Australian-Located Operations

    

In March 2003, banks and selected Registered Financial Corporations (RFCs)
began reporting their international assets, liabilities and country exposures
to APR in _ARF/RRF 231 International Exposures_. This return is the basis of
the data provided by Australia to the Bank for International Settlements (BIS)
for its International Banking Statistics (IBS) data collection. APR ceased
the RFC data collection after September 2010.

The IBS data are based on the methodology described in the [BIS Guide on
International Financial Statistics
[PDF]](http://www.bis.org/statistics/intfinstatsguide.pdf) (see Part II
International banking statistics). Data reported for Australia, and other
countries, on the BIS website are expressed in United States dollars.

Data are recorded on an end-quarter basis.

All banks operating in Australia complete ARF 231. Between March 2003 and
September 2010, only those larger RFCs with sizeable overseas assets and/or
liabilities completed RRF 231. Bank and RFC positions are reported in
Australian dollars (AUD). Non-AUD denominated positions have been converted to
AUD using an appropriate end-quarter exchange rate, so changes in reported
data between quarters are due not only to changes in positions but also
valuation gains or losses due to exchange rate changes.

There are two sets of IBS data: _locational_ data, which are used to gauge the
role of banks and financial centres in the intermediation of international
capital flows; and _consolidated_ data, which can be used to monitor the
country risk exposure of national banking systems. Only locational data are
reported in this statistical table.

All assets are reported at market value. While some liabilities are reported
at market value, contractual or nominal values are used where market values
are not appropriate.

The locational data reported in this statistical table are on international
assets and liabilities, comprise loans and deposits, securities and other
assets and liabilities _vis- -vis_ non-residents in all currencies and vis-A
-vis residents in foreign currency. The main balance sheet items included as
claims (i.e. assets) are deposits and balances placed with banks, loans and
advances to banks and non-banks and holdings of securities. The main
liabilities include deposits and loans received from banks and non-banks.
Reporting entitiesa own issues of securities in international markets are also
included as liabilities. (See notes to statistical tables B12.1 and B12.2 for
more detail on the types of assets and liabilities included.)

aTotal banks and RFCsa is also reported in United States dollar (USD)
equivalent amounts, using the end-quarter AUD/USD exchange rate from
statistical table F11.



Tags: banks, finance, rba, rfcs, statistics
Organization: Reserve Bank of Australia
Assessment of the health of the Swan-Canning River System using Biochemical Markers of Exposure in Fish - Summary

The study focussed on the estuarine portion of the Swan-Canning River system, WA using the black bream (Acanthopagrus butcheri), an estuarine dependent fish species, as a biomonitoring tool.  Prior to the commencement of this study it had been determined that the black bream was a suitable fish species for use as a biomonitoring tool when using mixed function oxygenase (MFO) activity induction under laboratory conditions. Biopsies taken from feral black bream collected from eight sites during the period 2000 to 2002 from the estuary confirmed that the use of MFO induction in this fish species as a biomarker of exposure to organic contaminants is a reliable biomarker.

Tags: 37 353003, Acanthopagrus butcheri, Black bream, Coastal Processes, Contaminants, Environmental Impacts, Estuaries, Fish, Human Dimensions, Marine Biology, Oceans, aquatic toxicology, bioindicators, biomarkers
Organization: Department of Environment and Agriculture, Curtin University
Assessment of Terrestrial Biodiversity 2002 Database

    

The Australian Terrestrial Biodiversity Assessment (NLWRA, 2002) is the first
attempt to report on terrestrial biodiversity condition and trend across
Australia aggregated from point and subregion or bioregion data. The
assessment includes condition and trend of wetlands, riparian zones,
threatened species and ecosystems and the processes that threaten various
elements of biodiversity. The assessment also includes biodiversity
conservation opportunities in protected area consolidation, threatened species
and ecosystem management, and conservation across the wider landscape. This
application includes a national database (bs_data.mdb) compiled from State and
Territory data supplied to the National Land and Water Resources Audit, and a
data entry tool (bs_gui.mdb) which allows data entry, editing and reporting. A
database design specification document is also included.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_badesr9nn
__02211a01.xml) for more detail.



Tags: biodiversity, boundaries, environment, environmentandnaturalresourcemanagement, exoticfauna, exoticflora, fauna, flora, mapping, nativefauna, nativeflora, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Assessment of Terrestrial Biodiversity 2002, Biodiversity Audit Data Entry System (BADES)

    

The Australian Terrestrial Biodiversity Assessment (NLWRA, 2002) is the first
attempt to report on terrestrial biodiversity condition and trend across
Australia aggregated from point and subregion or bioregion data. The
assessment includes condition and trend of wetlands, riparian zones,
threatened species and ecosystems and the processes that threaten various
elements of biodiversity. The assessment also includes biodiversity
conservation opportunities in protected area consolidation, threatened species
and ecosystem management, and conservation across the wider landscape. This
application includes a national database (bs_data.mdb) compiled from State and
Territory data supplied to the National Land and Water Resources Audit, and a
data entry tool (bs_gui.mdb) which allows data entry, editing and reporting. A
database design specification document is also included.

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_badesr9nn
__02211a02.xml) for more detail.



Tags: biodiversity, boundaries, environment, environmentandnaturalresourcemanagement, exoticfauna, exoticflora, fauna, flora, mapping, nativefauna, nativeflora, vegetation
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Asbestos Register

This data set contains the City of Gold Coast's Asbestos Management Plan and Asbestos Register.
The City of Gold Coast is not a professional information provider and makes no representations or warranties about the accuracy, reliability, completeness or suitability for any particular purpose of the Data provided here. This Data is not provided with the intent that any person will rely on it for the purpose of making decisions with financial or legal implications. Persons who place such reliance on the Data do so at their own risk. 



Tags: Asbestos, City of Gold Coast, CoGC, Construction, Gold Coast, Safety
Organization: City of Gold Coast
Artificial light on water attracts turtle hatchlings duringtheir nearshore transit, Western Australia

Examined the effect of artificial light on the nearshore trajectories of turtle hatchlings dispersing from natal beaches. Green turtle (Chelonia mydas) hatchlings were tagged with miniature acoustic transmitters and their movements tracked within an underwater array of 36 acoustic receivers placed in the nearshore zone. A total of 40 hatchlings were tracked, 20 of which were subjected to artificial light during their transit of the array. At the same time, we measured current speed and direction which were highly variable within and between experimental nights and treatments. Artificial lighting affected hatchling behaviour, with 88% of individual trajectories oriented towards the light and spending, on average, 23% more time in the 2.25ha tracking array (19.5 ± 5 mins) than under ambient light conditions (15.8 ± 5 mins). Current speed had little to no effect on the bearing (angular direction) of the hatchling tracks when artificial light was present, but under ambient conditions, it influenced the bearing of the tracks when current direction was offshore and above speeds of ~32.5 cm s-1.

Organization: Australian Institute of Marine Science
Argo float : a platform of the IMOS Argo Australia Facility

Argo floats have revolutionised our understanding of the broad scale structure of the oceans to 2000 m depth. In the past 10 years more high resolution hydrographic profiles have been provided by Argo floats then from the rest of the observing system put together.

Each Argo float is identified by a unique identification number called a WMO ID. WMO (World Meteorological Organisation) ID Numbers are assigned to measurement stations and observing platforms to enable researchers to keep track of, and uniquely identify their floats.

Argo floats alter their buoyancy by using a battery pack and motor to drive oil from inside the float to an external bladder. This changes the floats volume and thus its density relative to the surrounding seawater allowing it to move up and down through the water column. 

A typical Argo float mission is to profile from 2000 m depth to the sea surface every 10 days. On deployment, the float sinks to a depth of 1000 m and drifts with the ocean currents for 9 days. Then the float sinks deeper to its profile depth (usually 2000 m) before starting to ascend through the water column measuring temperature, salinity and pressure as it rises. Once at the surface it transmits location and profile data via satellite to land-based Argo data centres. After transmission the float sinks again and repeats the cycle. 

The average life of the latest model APEX Argo floats are around 3.7 years or approximately 135 cycles. These statistics are for floats with the standard alkaline battery configuration from an analysis by Kobayashi et al (2009).In the Australian Argo program, the floats are deployed with a combination of lithium and alkaline battery packs which extends float lifetime. Argo Australia floats usually last 7 years and several floats are approaching their 9th birthday and are still returning good data.

Tags: Autonomous Profiling Float, Bathymetry, Bluewater and Climate, Dissolved Gases, IMOS Node, Indian Ocean, Ocean Chemistry, Ocean Circulation, Ocean Currents, Ocean Pressure, Ocean Temperature, Oceans, Pacific Ocean, Profiling Float, Regional Seas, Salinity, Southern Ocean, Tasman Sea, Water Depth, Water Pressure, Water Temperature, World Ocean
Organization: CSIRO Oceans & Atmosphere - Hobart
A resource survey of the Alexandra Reef Complex off Port Douglas, north Queensland

The Alexandra Reef complex is a collection of fringing reefs which extend over 8 km along the coast and up to 3 km seaward between Yule Point in the south and Port Douglas in the north. The reef complex is centered around the mouth of the Mowbray River.

Two transects across the reef flat at the northern and southern extremities of the complex were assessed qualitatively during the low tide period. Data collected included, community types (zones), the width of the zone (m), depth at low tide (m), substrate type and cover of algae, sea grass, hard coral, soft coral and other organisms. Organisms were identified to species where possible. 

Sub-tidal communities were examined at eight sites along the outer margin of the reefs. At each site, both investigators swam for a timed period of 5 minutes and recorded data on exposure, depth (m), width of zone (m), substrate type, visibility (m) and percent cover of algae, hard corals, soft corals and other organisms. Organisms were identified to species where possible. The estimates of each investigator were combined.

Tags: Acropora brueggemanni, Acropora cerealis, Acropora divaricata, Acropora elseyi, Acropora formosa, Acropora humilis, Acropora loripes, Acropora millepora, Acropora nobilis, Acropora palifera, Acropora pulchra, Acropora tenuis, Acropora valida, Amphiroa, Australogyra zelli, Biological Classification, Briarium, Caulerpa, Coastal Processes, Coral Reefs, Cyphastrea microphthalma, Cystoseira trinodis, Echinopora lamellosa, Euphyllia ancora, Favia favus, Favia maritima, Favia maxima, Favia pallida, Faviids, Favites abdita, Favites flexuosa, Fungia, Galaxea astreata, Goniastrea edwardsi, Goniastrea favulus, Goniastrea pectinata, Goniastrea retiformis, Goniastrea sp., Goniopora, Halimeda cylindrica, Halodule sp., Halophile ovalis, Hydnophora pilosa, Leptastrea, Lobophyllia hemperichii, Lobophyton, Merulina ampliata, Montipora digitata, Montipora stellata, Mycedium elephantotus, Oceans, Pachyseris speciosa, Pandina, Pavona decussata, Pavona minuta, Pavona varians, Pectinia lactuca, Plants, Platygyra daedalea, Platygyra pini, Pocillopora damicornis, Podabacia, Porites, Psammocora digitata, Rotoliths, Sarcophyton, Sargassum, Sinularia, Sponges, Stylophora pistillata, Symphyllia recta, Thalassia, Turbinaria, Xenia, Xestospongia
Organization: Australian Institute of Marine Science
A Probabilistic Assessment of Tsunami Hazard in the Indian Ocean

The Indian Ocean Tsunami of December 26, 2004 made starkly evident the need for better information on tsunami hazard in the Indian Ocean. The tsunami threat faced by Indian Ocean countries consists of a complex mix of tsunami from local, regional and distant sources, whose effects at any particular location in the Indian Ocean are highly dependent on variations in sea floor shape between the source and affected coastlines, complicating tsunami disaster management and the design of tsunami warning systems for the Indian Ocean. In order to provide national governments in the Indian Ocean with the information they need to make informed decisions about tsunami mitigation measures, including development of a warning system,  a comprehensive hazard and risk ass

In this presentation we discuss the results of this assessment. The study focused on tsunami caused by subduction zone earthquakes, because they are the most frequent source of large tsunami, and tsunami hazard is expressed as annual probability of a tsunami exceeding a given amplitude at a given offshore depth. Because so little is known about the recurrence rates of large megathrust earthquakes in the subduction zones bordering the Indian Ocean, it was decided to develop two hazard maps: a 'low-hazard' end member, based on only those earthquake sources of tsunami for which there is definite evidence, and a 'high-hazard' end member, based on all potential megathrust earthquake sources, including hypothetical ones for which there is no historical or geological evidence, that may affect Indian Ocean coastlines. The actual hazard lies somewhere between these two end members, and the difference between the low hazard and high hazard maps is a simple and effective way to express the uncertainty in the hazard assessment. This uncertainty reflects the lack of knowledge of tsunamigenic earthquake occurrence, and can only be reduced through a better understanding of earthquake and tsunami occurrence in the Indian Ocean.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Earth Sciences, GA Publication, Professional Opinion, earthquakes, geohazards, marine, tsunamis
Organization: Geoscience Australia
Antarctic Drifting Buoys

This dataset contains data from drifting buoys that are along the ice edge or frozen into the ice. The data are observed around the Australian sector of Antarctica and have been recorded since February 1985 and are ongoing. Observations exist for around 20 buoys over this area and are not continuous over this area for this time period.  Data from the period 1995-1998 only have been archived.

This dataset also forms part of the International Program for Antarctic Buoys (IPAB - see the IPAB metadata record).

The data are available below via several urls below.  Further information and the data can be obtained from the IPAB home page url.  The data and documentation are also available directly from the NSIDC website.  Finally, a copy of the data are also held locally on the Australian Antarctic Data Centre's servers.

The documentation held at the NSIDC website provides important information on interpreting the dataset.  A static copy of this document is included with the local copy of the dataset held on the Australian Antarctic Data Centre's servers.

This work was also completed as part of ASAC projects 742 and 2678.

The fields in this dataset are:
Buoy Number
Year
Time
Longitude
Latitude
ARGOS Positional Accuracy
Sea Ice Flag
Air Pressure
Air Temperature
Water Temperature
Velocity

Tags: AIR PRESSURE, AIR TEMPERATURE, AMD, ANTARCTICA, ARGOS POSITIONAL ACCURACY, BUOY NUMBER, BUOYS, CEOS, DRIFTING BUOY, DRIFTING BUOYS, IPAB, LATITUDE, LONGITUDE, SEA ICE FLAG, SOUTHERN OCEAN, TIME, VELOCITY, WATER TEMPERATURE, YEAR
Organization: Australian Antarctic Division
Australian sedimentary parameters

Seabed sediment data were extracted from Geoscience Australia's MARine Sediment database (MARS - http://www.ga.gov.au/oracle/mars/). They include the percentage of carbonate in the sediment, and the percentage of mud, sand, or gravel size material found in seabed sediment samples, throughout the Australian Exclusive Economic Zone. The data grids were created using ArcGIS Inverse Distance Squared Weighted methodology.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Marine Data, Marine Geoscience, National dataset, Sub bottom profiles, abiotic surrogates, marine, sedimentology
Organization: Geoscience Australia
Antarctic Diatom Database (based on 115 surface samples)

All the available data sets containing diatom counts were compiled. These data sets were the 166 database used by Pichon et al. (1992), new data gathered separately by Dr Pichon (1994) and the author (L. Armand-1997), and Abbott's (1973) southeast Indian Ocean surface sample data set. 

Since each of the data sets were developed over periods of years or were subject to differences in processing and taxonomy, primary analysis was concerned with aligning current taxonomic advances and knowledge against the record of species identified in each data. With exception only to the Abbott southeast Indian Ocean data set (which could no longer be located for verification), the remaining data sets were combined and subjected to taxonomic reform. 

Following taxonomic reform a core-top diatom database was compiled using sample-selection criteria and through the removal of samples representing unique environmental regimes (i.e. Antarctic Peninsula region). A total of 115 samples from an original 194 remained available for use, and is identified as the Antarctic Diatom Database (ADB).

Tags: Biosphere, Community Structure, Diatoms, Ecological Dynamics, Microbiota
Organization: Department of Biological Sciences, Macquarie University
Antarctic_Bathymetry_Hillshade_Basemap WMS

This is a web service delivered to be used as a basemap for the Legacy of Geoscience Australia (and predecessors) in  Geographical Feature names in the Antarctic application.
, It provides context layers using bathymetry and hillshade data.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Antartic, Antartica, Earth Sciences, Web Service, marine_coastal
Organization: Geoscience Australia
2016 SoE Antarctic environment Annual electricity production across the four Australian stations

Annual electricity production from the four Australian Antarctic stations (Casey, Scott, Mawson and Macquarie Island). Information obtained from Australian Antarctic Division. Further information can be obtained from aad.gov.au. Data used by the Department of Environment and Energy to produce graph at Figure ANT18 in the Antarctic environment theme of the 2016 State of the Environment Report, available at 

https://soe.environment.gov.au/theme/antarctic-environment/topic/2016/australian-antarctic-programs-station-environment-operation#figure-ant18annual-electricity-production-across-the-four-australian-antarctic-stations--113421


Tags: 2016, 2016 SoE, Antarctic environment, Casey, Macquarie island, Mawson, Scott, SoE, SoE Graph, State of the Environment, electricity
Organization: State of the Environment
Australian_Seabed_Features WMS

The geomorphic features of the seafloor in the Australian Marine Jurisdiction were identified using the Australian Bathymetry and Topography dataset (Webster & Petkovic 2005). Twenty one feature types were identified and mapped for an area including the seafloor surrounding the Australian mainland and island territories of Christmas, Cocos (Keeling), Macquarie, and Norfolk Islands (Heap & Harris 2008). Some examples of these geomorphic features include: abyssal plains, trenches, canyons, and seamounts.

You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

Tags: Earth Sciences, Marine, Web Service, geomorphic features, marine_coastal, seabed
Organization: Geoscience Australia