AndreaBozzo/ceres-open-data-index huggingface dataset:
AIMS Weather Station Data - Cape Bowling Green Platform Light -  From 31 Jul 1987 To 03 Oct 2017

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

There have been 4 deployments for the PAR data set.

Instrumentation was deployed for measuring PAR from 31 Jul 1987 through to 01 Dec 2010, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. 

Instrumentation was deployed for measuring PAR from 01 Dec 2010 through to 01 May 2012, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Licor LI-192SA Quantum Sensor (PAR Sensor) manufactured by LI-COR Inc., model LI-192SA. 

Instrumentation was deployed for measuring PAR from 01 May 2012 through to 18 Nov 2015, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Licor LI-192SA Quantum Sensor (PAR Sensor) manufactured by LI-COR Inc., model LI-192SA. 

Instrumentation was deployed for measuring PAR from 18 Nov 2015 through to 03 Oct 2017, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Licor LI-192SA Quantum Sensor (PAR Sensor) manufactured by LI-COR Inc., model LI-192SA.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cleveland Bay Platform Historical Air Temperature -  From 03 Jul 1990 To 21 Oct 1992

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cleveland Bay.

Instrumentation was deployed for measuring Air Temperature from 03 Jul 1990 through to 21 Oct 1992, and the installation was located at/on Cleveland Bay Platform Historical Latitude:-19.1983 - Longitude:146.864833.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology, Ocean Temperature, Oceans, Water Temperature
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cape Bowling Green Platform Humidity -  From 01 Dec 2010 To 03 Oct 2017

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

There have been 3 deployments for the Humidity data set.

Instrumentation was deployed for measuring Humidity from 01 Dec 2010 through to 01 May 2012, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

Instrumentation was deployed for measuring Humidity from 01 May 2012 through to 18 Nov 2015, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

Instrumentation was deployed for measuring Humidity from 18 Nov 2015 through to 03 Oct 2017, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cape Bowling Green Platform Historical Wind -  From 09 Jul 1983 To 04 Oct 1985

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

Instrumentation was deployed for measuring Wind Direction from 09 Jul 1983 through to 04 Oct 1985, and the installation was located at/on Cape Bowling Green Platform Historical Latitude:-19.305 - Longitude:147.393. 

Instrumentation was deployed for measuring Wind Speed from 09 Jul 1983 through to 04 Oct 1985, and the installation was located at/on Cape Bowling Green Platform Historical Latitude:-19.305 - Longitude:147.393.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cape Bowling Green Platform Historical Light -  From 09 Jul 1983 To 04 Oct 1985

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

Instrumentation was deployed for measuring PAR from 09 Jul 1983 through to 04 Oct 1985, and the installation was located at/on Cape Bowling Green Platform Historical Latitude:-19.305 - Longitude:147.393.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cape Bowling Green Platform Historical Air Pressure -  From 09 Jul 1983 To 04 Oct 1985

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

Instrumentation was deployed for measuring Air Pressure from 09 Jul 1983 through to 04 Oct 1985, and the installation was located at/on Cape Bowling Green Platform Historical Latitude:-19.305 - Longitude:147.393.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
AIMS Weather Station Data - Cape Bowling Green Platform Hail -  From 01 Dec 2010 To 18 Nov 2015

This data set was collected by weather sensors deployed on the AIMS Weather Station site Cape Bowling Green.

There have been 2 deployments for the Hail Accumulation data set.

Instrumentation was deployed for measuring Hail Accumulation from 01 Dec 2010 through to 01 May 2012, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

Instrumentation was deployed for measuring Hail Accumulation from 01 May 2012 through to 18 Nov 2015, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

There have been 2 deployments for the Hail Intensity data set.

Instrumentation was deployed for measuring Hail Intensity from 01 Dec 2010 through to 01 May 2012, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

Instrumentation was deployed for measuring Hail Intensity from 01 May 2012 through to 18 Nov 2015, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

There have been 2 deployments for the Hail Duration data set.

Instrumentation was deployed for measuring Hail Duration from 01 Dec 2010 through to 01 May 2012, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510. 

Instrumentation was deployed for measuring Hail Duration from 01 May 2012 through to 18 Nov 2015, and the installation was located at/on Cape Bowling Green Platform Latitude:-19.304961 - Longitude:147.3928. Sensor deployed was a Vaisala WXT510/WXT520 Weather Transmitter manufactured by Vaisala, model WXT510.

Tags: Atmospheric Sciences, EARTH SCIENCES, Meteorology
Organization: Australian Institute of Marine Science
Cyclone Summaries 1900-2015

This dataset is a summary of global cyclone frequency. Data on the tracks of cyclones since 1900 was sourced from the International Best Track Archive for Climate Stewardship (IBTrACS). The lines of each cyclone were summarised over a 1 degree grid and the number of unique storms and the length of each track in each grid was generated.

https://www.ncdc.noaa.gov/ibtracs/index.php?name=ibtracs-data

Tags: Atmosphere, Atmospheric Phenomena, Cyclones, Storms
Organization: CSIRO Marine and Amospheric Research
Derwent Estuary Ambient Water Quality monitoring program - Site SC

Site SC is sampled monthly by the Derwent Estuary Program as part of the  Derwent Ambient Water Quality monitoring program.
Since 2003, ambient water quality monitoring has been carried out on a monthly basis at up to 28 sites throughout the Derwent estuary by Norske Skog Boyer, Nyrstar Hobart and the State Government. Monitoring is carried out by three different boat-based sampling parties, but is co-ordinated to occur on the same day each month. 
At each site, in-situ field measurements are taken using calibrated sensors for temperature, salinity, pH, dissolved oxygen and turbidity. Water clarity is also measured using a secchi disk. Surface and bottom water samples are collected for analysis of true color, total suspended solids(TSS), total  and dissolved nutrients, organic carbon and zinc. at most sites, depth integrated samples are also collected for chlorophyll a using a plastic tube. Bottom samples in the Middle and Outer estuary are collected using a niskin bottle. Pumps are used in the upper estuary site to fill up the bottles. All water samples are analysed at Analytical Service Tasmania, a National Association of Testing Authorities-accredited laboratory. Monitoring site depth is 2 meters

Tags: Ammonia, Chlorophyll, Conductivity, Derwent Estuary, Hydrolab Vertical Profiler, Niskin Bottles, Nitrate, Nitrite, Nitrogen Compounds, Ocean Chemistry, Ocean Optics, Oceans, Oxygen, Ph, Phosphate, Phosphorous Compounds, Salinity, Secchi Depth, Secchi Disks, Suspended Solids, Trace Metals, True Colour, Turbidity, Water Quality, Water Temperature
Organization: Environment Protection Authority Tasmania
Current values collected through the water column using an Acoustic Doppler Current Profiler (ADCP) in the centre of Jervis Bay: Winter Deployment

The record describes data collected from a winter deployment of an Acoustic Doppler Current Profiler (ADCP) moored in the central part of Jervis Bay, New South Wales (35o 05'S, 150o 44'E). An ADCP measures how fast water is moving across an entire water column. Anchored to the seafloor it can measure current speed not just at the bottom, but also at equal intervals all the way up to the surface. For this experiment, the ADCP was moored on the seabed, in a frame, with sensors looking upwards and approximately 0.5m above the seabed. 

Over the winter deployment, 26th July 1991 to 26th September 1991, the ADCP was set-up with a 60 minute sampling interval and currents were measured over 1m depth bins. Bin numbers and currents are referenced as a height above the seabed (due to the uncertainty in defining water depth because of tides and air pressure). As such Bin #1 is centered at 1.5m above the transducer face or 2.0m above the seabed. Bin #2 is centered at 3m above the seabed, Bin #3 at 4m and so on.
The water depth was measured as 24m on deployment and the first 19 bins provided good data. Currents from bin 20 up were very noisy and it is inferred that contamination had occurred. These bins were removed from the dataset.

Two resources are provided in this record: 1) A schematic of depth bin location for the winter deployment and, 2) The raw, or unfiltered current values for each bin depth provided every 60 minutes in terms of east/west and north/south components.

This child record relates to the parent, c571bb80-2ae7-11dd-a735-00188b4c0af8. A pdf outlining the structure and hierarchy of all metadata records relating to this project is available to download through this record. Also available is a pdf of a published working paper documenting this experiment and the results.

Tags: Ocean Circulation, Oceans, Tidal Components, Tidal Currents, Tides, Water Masses, Wind-driven Circulation
Organization: Australian Defence Force Academy (ADFA)
Cost of Salinity to Local Infrastructure 1996-97 – Total cost increase to local infrastructure based on the best estimate of the impact of the predicted 2020 extent of salinity

    

This dataset contains 14 national surfaces, represented by 1km grids, relating
to the cost of salinity damage to local infrastructrure. The infrastructure
cost impacts are limited to those that occur at the location of salinity
problem, downstream and other offsite impacts are not covered. All dollar
values are given in 1996/97 Australian dollars. Each is described as
follows:1. Total cost ($) to all infrastructure (buildings, road, rail and
bridges) based on the low, abesta and high estimates of the impact of the
current (2000) extent of salinity.2. Total cost ($) to all infrastructure
(buildings, road, rail and bridges) based on the low, abesta and high
estimates of the impact of predicted 2020 extent of salinity3. Total cost ($)
the general infrastructure component (buildings etc., derived from population)
as the abesta estimate of the impact of the current (2000) extent of
salinity.4. Total cost ($) the general infrastructure component (buildings
etc., derived from population) based on the abesta estimate of the impact of
the predicted 2020 extent of salinity5. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the current
(2000) extent of salinity.6. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity7. Total cost ($) the rail component of infrastructure
based on the abesta estimate of the impact of the current (2000) extent of
salinity.8. Total cost ($) the rail component of infrastructure based on the
abesta estimate of the impact of the predicted 2020 extent of salinity9. Total
cost ($) the bridge component of infrastructure based on the abesta estimate
of the impact of the current (2000) extent of salinity.10. Total cost ($) the
bridge component of infrastructure based on the abesta estimate of the impact
of the predicted 2020 extent of salinity11. Total cost ($) increase to local
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_csli_r9cl
__08012a03.xml) for more detail.



Tags: economics, farming, humanenvironment, utilities, waterquality
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Current Meter Mooring Data overview (1983 - present)

Data collected since 1983 using moored current meters deployed at various locations around Australia and in the southern Ocean has been loaded into the the CMAR Data Warehouse. Individual metadata records contain detailed information about each experiment. Most of these data were collected by the historical CSIRO divisions of Fisheries, Oceanography, Marine Research and now Marine and Atmospheric Research.

Organization: CSIRO Oceans and Atmosphere - Information and Data Centre
CTD Niskin data for the BROKE_WEST survey

3 litres of seawater were collected every 2nd CTD (conductivitiy, temperature and depth) cast on every CTD transect of the BROKE-West voyage.  7 CTD transects were completed on the BROKE-West voyage, all on southwards legs. Samples were collected at 6 depths in the top 200 m of the water column using niskin bottles. 2 litres were filtered through polycarbonate filters and 1 litre was filtered through a fibreglass filter. Chemical digestion of the polycarbonate filter enabled us to determine the particulate silicon concentration for each sample (using the nutrient autoanalyser onboard the Aurora Australis, see hydrochemistry section), fibreglass filters have been dried and stored for CHN analysis back on shore.
      
      This work was completed as part of ASAC projects 2655 and 2679 (ASAC_2655, ASAC_2679).

Tags: AMD, BROKE-West, CEOS, CTD, NISKIN BOTTLES, SHIPS, biogeochemistry, carbon, conductivity, depth, filtration, nitrogen, nutrients, particulate organic matter, temperature
Organization: Australian Antarctic Division
CSIRO Atlas of Regional Seas (CARS) (also "CARS2000")

CARS is a set of seasonal maps of temperature, salinity, dissolved oxygen, nitrate, phosphate and silicate, generated using Loess mapping from all available oceanographic data in the region. It covers the region 100-200E, 50-0S, on a 1/2 degree grid, and on 56 standard depth levels. The data was obtained from the World Ocean Atlas 98 and CSIRO Marine and NIWA archives. It was designed to improve on the Levitus WOA98 Atlas, in the Australian region. **This CARS2000 is now superseded by CARS2006**

Organization: CSIRO Oceans and Atmosphere - Information and Data Centre
Cost of Salinity to Local Infrastructure 1996-97 – Total cost the general infrastructure component (buildings etc derived from population) based on the best estimate as described in the project reports. Costs are estimates of the impact of the current (2000) extent of salinity

    

This dataset contains 14 national surfaces, represented by 1km grids, relating
to the cost of salinity damage to local infrastructrure. The infrastructure
cost impacts are limited to those that occur at the location of salinity
problem, downstream and other offsite impacts are not covered. All dollar
values are given in 1996/97 Australian dollars. Each is described as
follows:1. Total cost ($) to all infrastructure (buildings, road, rail and
bridges) based on the low, abesta and high estimates of the impact of the
current (2000) extent of salinity.2. Total cost ($) to all infrastructure
(buildings, road, rail and bridges) based on the low, abesta and high
estimates of the impact of predicted 2020 extent of salinity3. Total cost ($)
the general infrastructure component (buildings etc., derived from population)
as the abesta estimate of the impact of the current (2000) extent of
salinity.4. Total cost ($) the general infrastructure component (buildings
etc., derived from population) based on the abesta estimate of the impact of
the predicted 2020 extent of salinity5. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the current
(2000) extent of salinity.6. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity7. Total cost ($) the rail component of infrastructure
based on the abesta estimate of the impact of the current (2000) extent of
salinity.8. Total cost ($) the rail component of infrastructure based on the
abesta estimate of the impact of the predicted 2020 extent of salinity9. Total
cost ($) the bridge component of infrastructure based on the abesta estimate
of the impact of the current (2000) extent of salinity.10. Total cost ($) the
bridge component of infrastructure based on the abesta estimate of the impact
of the predicted 2020 extent of salinity11. Total cost ($) increase to local
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_csli_r9cl
__08012a04.xml) for more detail.



Tags: economics, farming, humanenvironment, utilities, waterquality
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences
Cost of Salinity to Local Infrastructure 1996-97 – Total cost to the bridge component of infrastructure based on the best estimate as described in the project reports. Costs are estimates of the impact of the extent of salinity projected to occur in 2020

    

This dataset contains 14 national surfaces, represented by 1km grids, relating
to the cost of salinity damage to local infrastructrure. The infrastructure
cost impacts are limited to those that occur at the location of salinity
problem, downstream and other offsite impacts are not covered. All dollar
values are given in 1996/97 Australian dollars. Each is described as
follows:1. Total cost ($) to all infrastructure (buildings, road, rail and
bridges) based on the low, abesta and high estimates of the impact of the
current (2000) extent of salinity.2. Total cost ($) to all infrastructure
(buildings, road, rail and bridges) based on the low, abesta and high
estimates of the impact of predicted 2020 extent of salinity3. Total cost ($)
the general infrastructure component (buildings etc., derived from population)
as the abesta estimate of the impact of the current (2000) extent of
salinity.4. Total cost ($) the general infrastructure component (buildings
etc., derived from population) based on the abesta estimate of the impact of
the predicted 2020 extent of salinity5. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the current
(2000) extent of salinity.6. Total cost ($) the road component of
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity7. Total cost ($) the rail component of infrastructure
based on the abesta estimate of the impact of the current (2000) extent of
salinity.8. Total cost ($) the rail component of infrastructure based on the
abesta estimate of the impact of the predicted 2020 extent of salinity9. Total
cost ($) the bridge component of infrastructure based on the abesta estimate
of the impact of the current (2000) extent of salinity.10. Total cost ($) the
bridge component of infrastructure based on the abesta estimate of the impact
of the predicted 2020 extent of salinity11. Total cost ($) increase to local
infrastructure based on the abesta estimate of the impact of the predicted
2020 extent of salinity

See [further metadata](http://data.daff.gov.au/anrdl/metadata_files/pa_csli_r9cl
__08012a02.xml) for more detail.



Tags: economics, farming, humanenvironment, utilities, waterquality
Organization: Australian Bureau of Agricultural and Resource Economics and Sciences