AndreaBozzo/ceres-open-data-index huggingface dataset:
IMOS - AusCPR: Phytoplankton Abundance

AusCPR: Phytoplankton Abundance.  The Australian Continuous Plankton Recorder (AusCPR) survey is a joint project between CSIRO Oceans and Atmosphere (O&amp;A) and the Australian Antarctic Division (AAD) to measure plankton communities as a guide to the health of Australia's oceans. The phytoplankton abundance data are analysed as per Richardson et al 2006. Phytoplankton are usually counted from water samples after settling but in the CPR analysis we count the phytoplankton in situ. With CPR samples, the phytoplankton is captured by the mesh and are caught by the silk strands, by phytoplankton mucilage, and/or by other organisms on the silk. It is thus possible to see the phytoplankton cells directly on the mesh. In essence, the phytoplankton is already concentrated. Washing the phytoplankton off the silks to count in the standard manner may result in loss of or damage to cells before analysis.
It is advised that anyone using the data should first read this methodology or contact the project contact person. The aims of the AusCPR survey are to: * map plankton biodiversity and distribution * develop the first long-term plankton baseline for Australian waters * document plankton changes in response to climate change * provide indices for fisheries management * detect harmful algal blooms * validate satellite remote sensing * initialise and test ecosystem models.  Servicing and maintenance of the CPRs and analysis of the samples for the AusCPR survey will be carried out by staff based at the O&amp;A laboratories in Queensland and at the AAD in Hobart. The project was funded by the Integrated Marine Observing System (IMOS) and falls with the Ships of Opportunity facility. Data storage and access is planned to be interoperable with other national and international programs through the IMOS Infrastructure. Results from the AusCPR survey are available through the AODN portal: https://portal.aodn.org.au.  For information on using the data please refer to the Richardson et al. 2006. As the taxonomic resolution of the data has changed over time, due to continual training, it is important that users refer to the change log tables included in your data download. These will provide information on the validity of the taxa, from what date we have been identifying certain taxa etc. Classification fields may be blank depending on the level to which that taxa has been identified, i.e. if only identified to family, genus and species will be blank. This data is freely available but please acknowledge all relevant parties, as detailed in acknowledgement section.

Organization: CSIRO Marlin Data Catalogue
IMOS National Reference Station (NRS) - Total Suspended Solids (TSS) and Secchi Depth

This dataset comprises the measurement of Secchi Depth and Total suspended solids (inorganic and organic components) analysed from samples collected as part of the Integrated Marine Observing Systems (IMOS) National Mooring Network -National Reference Station (NRS) field sampling.
Nine Sites are included in the IMOS NRS field sampling stations. Maria Island (TAS), Kangaroo Island (SA), Esperance (WA), Rottnest Island (WA), Ningaloo (WA), Darwin (NT), Yongala (QLD), North Stradbroke Island (QLD) and Port Hacking 100 (NSW).
Sampling at these sites is conducted by several members of IMOS NRS Biogeochemical project. Sampling at the sites began between 29/9/2008 and 8/11/2010 and is currently ongoing for 7 sites. Sampling ceased at Ningaloo and Esperance (WA) sites in Aug/Sept 2013.
Sampling is conducted monthly (Esperance and Ningaloo were 3 monthly) off small vessels. Depths sampled range from surface to 105 metres depending on the site. Depths are usually sampled at 10 metre intervals. Details including information on station locations, depths sampled and sample types collected are shown in the PDF link below extracted from the IMOS NRS NATIONAL REFERENCE STATIONS BIOGEOCHEMICAL OPERATIONS - A PRACTICAL HANDBOOK, Version 2.2 July 2012. A link to the full handbook is also provided which includes full details of the sampling regime and analyses.
Historical data collected as part of CSIRO Coastal Monitoring program is available for three of the National Reference Station sites:
Maria Island Coastal Station Data 1944-2008, Port Hacking 100m Coastal Station Data 1953-2010 and Rottnest Island Coastal Station Data 1951-2009.
The links to the metadata and access for these data is provided below.
Data storage and access is planned to be interoperable with other national and international programs through the IMOS Infrastructure. Station metadata can be found through this resource. Data is available freely via the AODN portal: https://portal.aodn.org.au.

Organization: CSIRO Marlin Data Catalogue
Image Collection - RV Investigator Voyage IN2025_V04 - SEA-MES: Untangling the causes of change over 25 years in the southeast marine ecosystem - Voyage 4

This data set contains the imagery collected on the Marine National Facility (MNF) RV Investigator voyage IN2025_V04, titled ‘Untangling the causes of change over 25 years in the southeast marine ecosystem - Voyage IV (SEA-MES Voyage 4)’. The voyage took place between May 27, 2025 and June 28, 2025 (AEST), departing from Hobart and returning to Hobart, collecting imagery of benthic habitats together with oceanographic data.
Instrument(s) used to collect this data:
MNF Deep Towed camera (DTC)
Datasets include: 
Video (oblique forward view)
Stereo stills (oblique forward view)
Navigational data

Organization: CSIRO Marlin Data Catalogue
RV Investigator Voyage IN2024_V05 Hydrology Data

This record describes Hydrology (HYD) data collected from the Marine National Facility (MNF) RV Investigator voyage IN2024_V05, titled: "Multi-year: Untangling the causes of change over 25 years in the southeast marine ecosystem - Voyage 3." The voyage took place between November 13, 2024 and December 12, 2024 (AEST), departing from Hobart and returning to Hobart.
Hydrology samples were collected from Niskin bottles sampled at various depths during Conductivity-Temperature-Depth (CTD) deployments. Parameters analysed were salinity, dissolved oxygen, phosphate, silicate, nitrate plus nitrite and ammonium.
This dataset has been processed (quality-controlled), and archived at the CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre (IDC) in Hobart. Additional information regarding this dataset is contained in the Voyage Report and Data Processing Report.

Organization: CSIRO Marlin Data Catalogue
IMOS National Reference Station (NRS) - Salinity, Carbon, Alkalinity, Oxygen and Nutrients (Silicate, Ammonium, Nitrite/Nitrate, Phosphate)

These data sets include Salinity, Carbon, Alkalinity, Oxygen and Nutrients (Silicate, Ammonium, Nitrite/Nitrate, Phosphate) analysed from samples collected as part of the Integrated Marine Observing Systems (IMOS) National Mooring Network - National Reference Station (NRS) field sampling. 
Nine Sites are included in the IMOS NRS field sampling stations. Maria Island (TAS), Kangaroo Island (SA), Esperance (WA), Rottnest Island (WA), Ningaloo (WA), Darwin (NT), Yongala (QLD), North Stradbroke Island (QLD) and Port Hacking 100 (NSW). 
Sampling at these sites is conducted by several members of IMOS NRS Biogeochemical project. Sampling at the sites began between 29/9/2008 and 8/11/2010 and is currently ongoing for 7 sites. Sampling ceased at Ningaloo and Esperance (WA) sites in Aug/Sept 2013.
Sampling is conducted monthly (Esperance and Ningaloo were 3 monthly) from small vessels. Depths sampled range from surface to 105 metres depending on the site. Depths are usually sampled at 10 metre intervals. Details including information on station locations, depths sampled and sample types collected are shown in the PDF link below extracted from the IMOS NRS NATIONAL REFERENCE STATIONS BIOGEOCHEMICAL OPERATIONS - A PRACTICAL HANDBOOK, Version 2.2 July 2012. A link to the full handbook is also provided which includes full details of the sampling regime and analyses.
Historical data collected as part of CSIRO Coastal Monitoring program is available for three of the National Reference Station sites:
Maria Island Coastal Station Data 1944-2008, Port Hacking 100m Coastal Station Data 1953-2010 and Rottnest Island Coastal Station Data 1951-2009.
The links to the metadata and access for these data is provided below.
Data storage and access is planned to be interoperable with other national and international programs through the IMOS Infrastructure. Station metadata can be found through this resource. Data is available freely via the AODN portal: https://portal.aodn.org.au.

Organization: CSIRO Marlin Data Catalogue
IMOS - AusCPR: Phytoplankton Colour Index (PCI)

Phytoplankton Colour Index (PCI) 
After the silk has been marked into 5 nautical mile samples but prior to cutting, each sample is visually assigned a greenness index by comparison with standard colour charts: viz. no colour, very pale green, pale green, and green. These four levels of the phytoplankton colour index (PCI) represent the amount of phytoplankton pigment on the silk and have been assigned numerical values on a ratio scale based on acetone extracts using spectrophotometric methods.
Results from the AusCPR survey are available through the AODN portal: https://portal.aodn.org.au This data is freely available but please acknowledgment all relevant parties, as detailed in acknowledgement section.

Organization: CSIRO Marlin Data Catalogue
IMOS National Reference Station (NRS) - Zooplankton Abundance

This dataset comprises the zooplankton abundance estimates of a broader sampling program carried out by the National Reference Stations (NRS) within the Integrated Marine Observing system. Regular monthly zooplankton samples are undertaken at the stations as part of a larger water sampling program by the National Reference Stations. In total nine stations are sampled regularly around the Australian coastline. Sampling is conducted monthly (Esperance and Ningaloo 3 monthly) off small vessels at each of the nine reference stations. The sampling is conducted using a drop net (as per the design of Heron) which has a 60 cm diameter, 100 micron mesh and is weighted to fall at 1 m/s. The net is designed to pull closed at the end of its fall so that it samples on the way down and does not sample on the way up. The depth of the sample varies at each station. 3 zooplankton samples are taken each month. 2 are fixed in formalin and will be analysed as described below. The unfixed sample is concentrated and frozen (-80oC)and will be used for molecular analysis in the future. The Port Hacking 4 (PH4) samples (2002 - Jan 2009) were sampled using a smaller net, 20 cm diameter, which sampled on the way up and down. The PH4 site is very close to the Port Hacking national reference station (PHB) where samples are now taken to build up and enhance the time series. The plankton ecology lab (based in Queensland) will analyse the samples collected for: 1. Community composition (Taxon/m3) 2. Biomass (dry weight in mg/m3) 3. Size spectrum analysis using zooscan (in progress) Data storage and access is planned to be interoperable with other national and international programs through the IMOS Infrastructure. Station metadata can be found through this resource. Data is available freely via the AODN portal: https://portal.aodn.org.au.
As the taxonomic resolution of the data has changed over time, due to continual training, it is important that users refer to the change log tables included in your data download. These will provide information on the validity of the taxa, from what date we have been identifying certain taxa etc. Classification fields may be blank depending on the level to which that taxa has been identified, i.e. if only identified to family, genus and species will be blank.

Organization: CSIRO Marlin Data Catalogue
Vulnerable Soils: Sodicity Hazard

Soil sodicity hazard was digitally mapped as part of the DPIPWE Water for Profit Program to enhance identification of Enterprise Suitability by effectively incorporating a sustainability measure of vulnerable soils.  The mapping shows areas where a sodicity hazard might exist if sufficient management is not applied, which could lead to soil resource degradation.  Assigned classes are; Nil, Low, Moderate and High as classified ratings of a sodicity hazard index.  The index was generated by combining Digital Soil Mapping (DSM) inputs of the soil properties of Exchangeable Sodium Percentage (ESP) for standard depths, with ratings developed by the DPIPWE Land Degradation and Salinity Risk assessments.  The mapping covers the entire state of Tasmania at 30m resolution.

Tags: AGRICULTURE-Any, GEOSCIENCES-Any, SOIL-Erosion
Organization: Tasmania Government's The List Data
Vulnerable Soils: Waterlogging Hazard

Soil waterlogging hazard was digitally mapped as part of the DPIPWE Water for Profit Program to enhance identification of Enterprise Suitability by effectively incorporating a sustainability measure of vulnerable soils.  The mapping shows areas where a waterlogging hazard might exist if sufficient management is not applied, which could lead to soil resource degradation, trafficability issues and crop losses.  Assigned classes are; Nil, Very Low, Low, Moderate, High and Very High as classified ratings of a waterlogging hazard index.  The index was generated by combining Digital Soil Mapping (DSM) inputs of the soil properties of soil drainage index and permeability index, and mapped areas of flood risk, where very poor drainage and low permeability imply a high waterlogging hazard, and rapid drainage and high permeability imply a low waterlogging hazard.  The mapping covers the entire state of Tasmania at 30m resolution.

Tags: AGRICULTURE-Any, GEOSCIENCES-Any, SOIL-Erosion
Organization: Tasmania Government's The List Data
Enterprise Versatility Index

An index depicting enterprise crop versatility as Very High, High, Moderate, Moderate-Low, Low or Very Low is portrayed for private free-hold land in Tasmania. A heuristic integration of 24 state-wide enterprise suitability datasets was undertaken to identify specific areas of the State that were suited to more enterprises than other areas. Enterprise crops that participated in this analysis include Barley, Blueberries, Carrot seed, Carrots, Cherries, Eucalyptus globulus, Eucalyptus nitens, Hazelnuts, Industrial Hemp, Linseed, Lucerne, Olives, Onions, Pinus radiata, Poppies, Potatoes, Pyrethrum, Raspberries, Rye grass, Sparkling wine grapes, Strawberries, Table wine grapes and Wheat. The output is represented at a spatial resolution of 30m with each pixel attributed with individual crop suitability ratings. 
Three versions of the Enterprise Versatility Index dataset are available: current, 2030 and 2050. 
The 'current' version is based on enterprise crops encompassing recent historical climate observations and part of the original suite of enterprise crop maps. For more information about these participating crops refer here: 
https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=c42945e3-d047-4b8d-bc5c-4eebad1934fc 
And here:
https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Map_user_notes_versatility_index.pdf
The '2030' and '2050' versions encompass Climate Futures Tasmania (CFT) projections that were incorporated into the enterprise suitability modelling framework to identify land areas prone to projected climate change impacts according to the RCP 8.5 scenario for years 2030 and 2050. For more information about these participating crops refer here: 
https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=e8c81063-2b51-4684-b407-d56d64788a93
And here:
https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Map_user_notes_versatility_index_CFT.pdf

Tags: AGRICULTURE Crops, CLIMATE AND WEATHER, SOIL
Organization: Tasmania Government's The List Data
Vulnerable Soils: Wind Erosion Hazard

Wind erosion hazard was digitally mapped as part of the DPIPWE Water for Profit Program to enhance identification of Enterprise Suitability by effectively incorporating a sustainability measure of vulnerable soils.  The mapping shows areas where a wind erosion hazard might exist if sufficient groundcover is not maintained, which could lead to soil resource degradation through soil, organic matter and nutrient loss after significant wind events.  Assigned classes are; Nil, Low, Moderate and High as classified ratings of a wind erosion index.  The index was generated by combining Digital Soil Mapping (DSM) inputs of the soil properties Coarse Fragments, Sand %, Clay %, Organic Carbon %, Soil Structure, with ratings developed by the DPIPWE Land Degradation and Salinity Risk assessments.  The mapping covers the entire state of Tasmania at 30m resolution.

Tags: AGRICULTURE-Any, GEOSCIENCES-Any, SOIL-Erosion
Organization: Tasmania Government's The List Data
Enterprise Versatility Index for Tasmanian Pasture Species

An index depicting pasture crop versatility as Very High, High, Moderate, Moderate-Low, Low or Very Low is portrayed for private free-hold land in Tasmania. A heuristic integration of 10 state-wide enterprise suitability pasture datasets was undertaken to identify specific areas of the State that were suited to more pasture species than other areas. Pasture crops that participated in this analysis include Lucerne, Rye Grass, Cocksfoot Continental, Cocksfoot Mediterranean, Tall Fescue Continental, Tall Fescue Mediterranean, Red Clover, Strawberry Clover, White Clover and Phalaris. The output is represented at a spatial resolution of 30m with each pixel attributed with individual crop suitability ratings. 
Three versions of the Pasture Versatility Index dataset are available: current, 2030 and 2050. 
The 'current' version is based on pasture crops encompassing recent historical climate observations and part of the original suite of enterprise crop maps. For more information refer here: 
https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=c42945e3-d047-4b8d-bc5c-4eebad1934fc 
And here:
https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Map_user_notes_pasture_versatility_index.pdf
The '2030' and '2050' versions encompass Climate Futures Tasmania (CFT) projections that were incorporated into the enterprise suitability modelling framework to identify land areas prone to projected climate change impacts according to the RCP 8.5 scenario for years 2030 and 2050. For more information refer here: 
https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=e8c81063-2b51-4684-b407-d56d64788a93
And here:
https://nrmdatalibrary.dpipwe.tas.gov.au/FactSheets/WfW/ListMapUserNotes/Map_user_notes_pasture_versatility_index_CFT.pdf
Note that the Pasture Versatility Index dataset complements the Enterprise Versatility Index, which is similarly based, albeit from the integration of 24 enterprise suitability crops. Refer here for  more information: https://www.thelist.tas.gov.au/app/content/data/geo-meta-data-record?detailRecordUID=d58e529f-69de-4753-9363-8fdb84be1540

Tags: AGRICULTURE Crops, CLIMATE AND WEATHER, SOIL
Organization: Tasmania Government's The List Data
Vulnerable Soils: Salinity Hazard

Soil salinity hazard was digitally mapped as part of the DPIPWE Water for Profit Program to enhance identification of Enterprise Suitability by effectively incorporating a sustainability measure of vulnerable soils.  The mapping shows areas where a salinity hazard might exist if sufficient management is not applied, which could lead to soil resource degradation.  Assigned classes are; Low, Moderate and High as classified ratings of a salinity hazard index.  The index was generated by combining Digital Soil Mapping (DSM) inputs of the soil properties of Electrical Conductivity (EC) and Clay % for standard depths, with ratings developed by the DPIPWE Land Degradation and Salinity Risk assessments.  The mapping covers the entire state of Tasmania at 30m resolution.

Tags: AGRICULTURE-Any, GEOSCIENCES-Any, SOIL-Erosion
Organization: Tasmania Government's The List Data
Vulnerable Soils: Hillslope Water Erosion Hazard

Hillslope water erosion hazard was digitally mapped as part of the DPIPWE Water for Profit Program to enhance identification of Enterprise Suitability by effectively incorporating a sustainability measure of vulnerable soils.  The mapping shows areas where a water erosion hazard might exist if sufficient groundcover is not maintained, which could lead to soil resource degradation through soil, organic matter and nutrient loss, resulting in sedimentation and contamination of drainage lines and waterways after significant rainfall and runoff events.  Assigned classes are; Very Low, Low, Moderate, High, Very High and Extreme as classified ratings of a soil erosion.  The index was generated as an erodibility factor (K) as part of the Revised Universal Soil Loss Equation (RUSLE), combining Digital Soil Mapping (DSM) inputs of the soil properties Coarse Fragments, Sand %, Silt %, Clay %, Organic Carbon %, Soil Permeability, and Soil Structure, with Slope and Slope-Length (from the SRTM Digital Elevation Model).  The mapping covers the entire state of Tasmania at 30m resolution.

Tags: AGRICULTURE-Any, GEOSCIENCES-Any, SOIL-Erosion
Organization: Tasmania Government's The List Data
LIST Authority Land

LIST Authority Land is a subset of the LIST Cadastral Parcels layer. It portrays parcels of land owned, vested or managed by a Commonwealth, State or Local Government Authority or Government Business Enterprise. Categories include Homes Tasmania, Hydro Tasmania, Councils, Education, Sustainable Timber Tasmania, TAS Water, Defense etc. Authority Land attributes are the same as for LIST Cadastral parcels and include the authority name, title reference and property identifier (PID).

Tags: BOUNDARIES, BOUNDARIES Administrative, LAND Cadastre, LAND Ownership
Organization: Tasmania Government's The List Data
Tasmanian Oil Spill Response Shoreline Types

This data set spatially depicts shoreline types useful for responding to an oil spill in Tasmanian State coastal waters as specified by the Oil Spill Response Atlas project.  The data consists of a landform map of the coastline from Sandy Cape clockwise to Port Davey. The coastline has been mapped from current and earlier (1978) airphoto interpretation, current topographic and geological maps, and limited ground truthing.  The landform map comprises a single line mapped into segments at 1:25,000 scale and tagged with a descriptive characterisation of the intertidal shoreline landforms in each segment (s_type), and a characterisation of the major geomorphic controls on coastal landform development in each segment (reg_code).  The coastal landform types (s_types) have been coded as NOAA codes as per the AMSA Data Dictionary Appendix 2 and have been attributed according to likely oiling persistence and trafficability.The data have been presented in a format which will be compatible with numerous other coastal management and research applications.  A data dictionary accompanying the data set gives a detailed explanation. The basic data set was compiled by Chris Sharples and Richard Mount, DPIWE Jul - Nov 1999. The base data is currently held in AGD66 geographicals (ie Latitude Longitude).

Tags: MARINE Coasts
Organization: Tasmania Government's The List Data