AndreaBozzo/ceres-open-data-index huggingface dataset:
Landsat 4-9 Tiling Grid Path/Row World Reference System (WRS-2) (USGS)

This dataset shows the tiling grid and their Row and Path IDs for Landsat 4 - 9 satellite imagery. The IDs are useful for selecting imagery of an area of interest. Landsat 4 - 9 are a series of Earth observation satellites, part of the US Landsat program aimed at monitoring Earth's land surfaces since 1982.

The Worldwide Reference System (WRS) is a global notation system used for cataloging and indexing Landsat imagery. It employs a grid-based system consisting of path and row numbers, where the path indicates the longitude and the row indicates the latitude, allowing users to easily locate and identify specific scenes covering a particular area on Earth.

Landsat satellites 4,5,7, 8, and 9 follow WRS-2 which this dataset describes. 

This dataset corresponds to the descending Path Row identifiers as these correspond to day time scenes.

eAtlas Notes:
It should be noted that the extent boundaries of the scene polygons in this dataset are only indicative of the imagery extent. For Landsat 5 images the individual images move around by about 10 km and the shape of the Landsat 8 and 9 images do not match the shape of the WRS-2 polygons. The angle of the top and bottom edges are at a different angle to the imagery, where the imagery is more square in shape. The left and right edges of the polygons are also smaller than the imagery. As a result of this, this dataset is probably not suitable as a clipping mask for the imagery for these satellites. 

This dataset is suitable for determining the approximate extent of the imagery and the associated Row and Path IDs for a given scene.

Why is this dataset in the eAtlas?:
Landsat imagery is very useful for the studying and mapping of reef systems. Selecting imagery for study often requires knowing the Path and Row numbers for the area of interest. This dataset is intended as a reference layer. This metadata is included to link to from the associated mapping layer. The eAtlas is not the custodian of this dataset and copies of the data should be obtained from the original sources. The eAtlas does however keep a cached version of the dataset from the time this dataset was setup to make available should the original dataset no longer become available.

eAtlas Processing:
The original data was sourced from USGS (See links). No modifications to the underlying data were performed.

Location of the data:
This dataset is filed in the eAtlas enduring data repository at: data\non-custodian\2020-2024\World_USGS_Landsat-WRS-2

Tags: Landsat, World
Organization: Australian Ocean Data Network
Research Vessel R.V. Linnaeus: a platform of the IMOS Ships of Opportunity – Sea Surface Temperature Sensors for Australian Vessels Sub-Facility

The Vessel RV Linnaeus is a platform of the Ships of Opportunity facility.

RV Linnaeus is a small CSIRO research vessel (callsign VHW6005) collecting underway bulk SST from its occasional trips within 200 nm from Hillarys Boat Harbour, WA. 

Bulk SST is processed from SBE38 calibrated digital oceanographic thermometer and SBE45 MicroTSG. The depth of water intake is 0.8 m. 

The data are quality controlled by the Bureau of Meteorology and provided to the AODN.

Tags: IMOS Platform | VHW6005 | Linnaeus, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Salinity/density | Salinity
Organization: Australian Ocean Data Network
IMOS SOOP Underway Data from AIMS Vessel RV Cape Ferguson Trip 20240124 From 24 Jan 2024 To 27 Jan 2024

'Ships of Opportunity' (SOOP) is a facility of the Australian 'Integrated Marine Observing System' (IMOS) project. This data set was collected by the SOOP sub-facility 'Sensors on Tropical Research Vessels' aboard the RV Cape Ferguson Trip 20240124.

Organization: Australian Ocean Data Network
2021 State of the Environment Report Marine Chapter – Expert Assessment – State and Trend – Shallow rocky reefs (<30m)

The Marine chapter of the 2021 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "State and Trend of shallow rocky reefs (&lt;30m)". 
<strong><em>A PDF of the full Expert Assessment, including figures and tables (where provided) is downloadable in the "On-line Resources" section of this record as "EXPERT ASSESSMENT 2021 - Shallow rocky reefs (&lt;30m)"</em></strong>



DESCRIPTION OF HABITAT/COMMUNITY/PROCESS FOR EXPERT ASSESSMENT
Assemblages of plants and animals found on inshore shallow rocky reefs &lt;30 m depth in the temperate zone. The primary focus here is on habitats and mobile invertebrates while fishes are covered in other assessments. 

DATA STREAM(S) USED IN EXPERT ASSESSMENT
Underwater visual census data from, Australian Temperate Reef Collaboration (ATRC; https://atrc.org.au/), Parks Victoria subtidal monitoring program and the Reef Life Survey program (RLS; https://reeflifesurvey.com/). Data collected between the years 2008-2020 (inclusive) were reported in the Australia’s changing reefs case study, with data from Jurien Bay, Rottnest Island (WA), Encounter (SA), Port Phillip, Beware Reef and (Vic), Kent Group, SE Tasmania, Maria Island (Tas), Batemans Bay, Jervis Bay, Sydney, and Port Stephens (NSW) the key locations with time series data.



2021 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]

• 2021 •
Assessment grade: Poor
Assessment trend: Deteriorating
Confidence grade: Somewhat adequate
Confidence trend: Somewhat adequate
Comparability: High. This is the second assessment in a row based on standardised quantitative data from the same sources.
• 2016 •
Assessment grade: Poor
Assessment trend: Deteriorating
Confidence grade: Limited evidence or limited consensus
Confidence trend: Limited evidence or limited consensus
Comparability: Grade and trend are not comparable to the 2011 assessment
• 2011 •
Assessment grade: Good
Assessment trend: Stable
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Limited evidence or limited consensus



CHANGES SINCE 2016 SOE ASSESSMENT
not supplied

Tags: Marine Protected Areas (MPAs), community assemblage, expert assessment, reefs
Organization: Australian Ocean Data Network
Ongoing data collection for Krill Observational Mooring for Benthic Investigation (KOMBI) deployments

The KOMBI (Krill Observational Mooring for Benthic Investigations) seafloor landers are autonomous oceanographic platforms designed to collect high-resolution time-series data on krill species, non-krill species and their seafloor environment across a full year in the Antarctic. Each mooring integrates multiple sensors—such as temperature, salinity, pressure (CTD), video cameras, current profiles and acoustic backscatter—to support long-term ecosystem monitoring and process-based studies. KOMBI moorings are deployed to capture seasonal to interannual variability, improve understanding of pelagic habitat dynamics, and provide continuous observations that complement ship-based and remote-sensing programs. The time series is ongoing and data will be continuously added upon platform retrieval.

This dataset contains all data collected from Krill Observational Mooring for Benthic Investigations (KOMBI) seafloor lander platforms.

KOMBI platforms were left on the seafloor for one year at depths on the continental shelf and near the shelf break. The minimum depth of a mooring is 350m to avoid collision with icebergs and the maximum depth is 1500m. KOMBI dimensions are 1145 x 1145 x 1300 mm. Moorings are typically deployed in summer months from vessels and are left to collect data for one year (at least).

Active acoustic (ADCP and echosounder) data, passive acoustic data, CTD data and video camera footage are available from various instruments installed on the moorings. Active acoustic deployment files, compass calibrations and echosounder calibration files are included. Echosounders were calibrated in a 10,000L tank of temperature-controlled seawater at the Australian Antarctic Division in Kingston, using a 23mm tungsten carbide sphere and a paired Simrad EK80 333kHz echosounder to map the beam. Calibration raw data and code is included to produce Nortek SONAR equation CalibrationOffsetSv for each frequency. Calibration is only available for narrowband frequencies.

Data collection began in 2021 and is ongoing.

Tags: ADCP > Acoustic Doppler Current Profiler, AMD, AMD/AU, CEOS, CONTINENT > ANTARCTICA > Prydz Bay, CTD > Conductivity, Temperature, Depth, EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > ANIMALS/INVERTEBRATES > ARTHROPODS > CRUSTACEANS > EUPHA, EARTH SCIENCE > OCEANS > OCEAN ACOUSTICS, EARTH SCIENCE > OCEANS > OCEAN CIRCULATION > OCEAN CURRENTS > CURRENT PROFILES, ECHO SOUNDERS > ECHO SOUNDERS, GEOGRAPHIC REGION > POLAR, KOMBI, LANDER, MOORINGS, OCEAN > SOUTHERN OCEAN, OCEAN > SOUTHERN OCEAN > EAST ANTARCTIC CONTINENTAL SHELF, OCEAN > SOUTHERN OCEAN > KERGUELEN PLATEAU, VIDEO CAMERA > VIDEO CAMERA
Organization: Australian Ocean Data Network
2021 State of the Environment Report Marine Chapter – Expert Assessment – Pressure – Climate Change – Ocean currents and eddies

The Marine chapter of the 2021 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "Pressures on the marine environment - climate change - ocean currents and eddies". 
<strong><em>A PDF of the full Expert Assessment, including figures and tables (where provided) is downloadable in the "On-line Resources" section of this record as "EXPERT ASSESSMENT 2021 - Ocean Currents and Eddies"</em></strong>



DESCRIPTION OF PRESSURE
Australia’s shelf and coastal environment is largely controlled by the dominant Australian boundary currents including the East Australian Current (EAC), Indonesian Throughflow (ITF) and Leeuwin Current (LC), South Australian Current (SAC), Holloway Current (HC), and Zeehan Current (ZC) (Figure 1). 
The EAC is the western boundary current system of the South Pacific (Oke et a., 2019 and reference therein). In the Australian region, it redistributes heat and carbon between ocean and atmosphere, and between the tropics and mid-latitudes. The ITF, a major component of the global ocean circulation, moves water from the Pacific Ocean to the Indian Ocean (Sprintall et al., 2019 and reference therein). It strongly influences Australian climate and seas off Western Australia.  The LC flows southwards off Western Australia redistributing Indian Ocean heat to the mid-latitudes. This differs from the cooler, equatorward flowing currents found along other eastern ocean boundaries.

DATA STREAM(S) USED IN EXPERT ASSESSMENT
The assessment is based on the results of analysis published in peer reviewed papers.



2021 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]

• 2021 •
Assessment grade: Very high impact
Assessment trend: Deteriorating
Confidence grade: Adequate
Confidence trend: Deteriorating
Comparability: Grade and trends are somewhat comparable to the 2016 assessment.
• 2016 •
Assessment grade: High impact
Assessment trend: Deteriorating
Confidence grade: Adequate
Confidence trend: Deteriorating



CHANGES SINCE 2016 SOE ASSESSMENT
We have seen significant marine heatwaves and cold events since 2016. The duration and frequency of these events impact the marine ecosystem and industry.

Tags: climate change, environmental pressures, expert assessment, ocean currents, oceanography
Organization: Australian Ocean Data Network
GBR - Coral calcification, 1672 - 2005 (MTSRF 1.1.5, AIMS)

The purpose of this study was to quantify patterns in skeletal density, linear extension and calcification throughout the GBR based on the AIMS Coral Core Archive of 328 colonies of massive Porites from 69 reefs. Annual data for the three growth parameters, skeletal density, annual extension, and calcification rate (the product of skeletal density and annual extension) were obtained from each colony using standard x-ray and gamma densitometry techniques. The data set contains 16,472 annual records, with corals ranging 10 – 436 years in age, most of which were collected in two periods covering 1983 – 1992 and 2002 – 2005. The oldest colony dates back to 1672.

As part of the Reef Atlas project (now the eAtlas) the calcification observations were interpolated over the whole GBR by Glenn De'ath using Generalized Additive Models. This produced a gridded version of the dataset and is available as a KML. For the original data contact Janice Lough.

Data Units:

Skeletal density: g / cm^3; Annual extension: cm / yr; Calcification: g / cm^2 / yr.

References:
<ul>
<li>De'ath G, Lough JM, Fabricius KE (2009) Declining coral calcification on the Great Barrier Reef. Science 323: 116-119</li>
<li>Cooper TF, De'ath G, Fabricius KE, Lough JM (2008). Declining coral calcification on the Great Barrier Reef. Global Change Biology 14: 529–538</li>
<li>Lough JM, Barnes DJ (2000) Environmental controls on growth of the massive coral Porites. Journal of Experimental Marine Biology and Ecology 245: 225-243</li>
</ul>

Tags: marine
Organization: Australian Ocean Data Network
2021 State of the Environment Report Marine Chapter – Expert Assessment – State and Trend – Shelf (0-200 m) demersal and benthopelagic fish species

The Marine chapter of the 2021 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "State and Trend of Shelf (0-200 m) demersal and benthopelagic fish species". 
<strong><em>A PDF of the full Expert Assessment, including figures and tables (where provided) is downloadable in the "On-line Resources" section of this record as "EXPERT ASSESSMENT 2021 - State and Trend – Shelf (0-200 m) demersal and benthopelagic fish species"</em></strong>



DESCRIPTION OF SPECIES/COMMUNITY FOR EXPERT ASSESSMENT
This assessment includes shelf (0–200m), demersal, and benthopelagic fish stocks from around Australia, but attempts to avoid reef fish (0–30m) and pelagic species, which will be assessed separately.  Some reef fish occurring in water deeper than 30m are included in this assessment.

DATA STREAM(S) USED IN EXPERT ASSESSMENT
This assessment is based on published reports (see references), notably Gaughan and Santoro (2020), Patterson et al (2020) and Stewardson et al (2018).



2021 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]

• 2021 •
Assessment grade: Good
Assessment trend:  Improving
Confidence grade: Adequate
Confidence trend: Adequate
Comparability: Grade and trend are somewhat comparable to the 2016 assessment
• 2016 •
Assessment grade: Poor
Assessment trend:  Improving
Confidence grade: Adequate high-quality evidence or high level of consensus
Confidence trend: Limited evidence or limited consensus
Comparability: Grade and trend are somewhat comparable to the 2011 assessment

• 2011 •
Assessment grade: Very good
Assessment trend:  Stable
Confidence grade: Adequate high-quality evidence and high level of consensus
Confidence trend: Limited evidence or limited consensus



CHANGES SINCE 2016 SOE ASSESSMENT
Assessed grade improved from “poor” (2016) to “good” (2021) based on an increase in the percentage of fish stock classified as sustainable cited reports.

Tags: expert assessment, fish stocks, population status, state and trend
Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS MELVILLE ProjectID: HI475MEL_H From: 2010-05-18 To: 2010-05-25

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 22 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI475MEL_H from HMAS MELVILLE. 

The CTD was manufactured by Falmouth Scientific and is the "2-inch Micro CTD" model. This CTD type is referred to operationally as the HS_CTD. This CTD is fitted within an inductive type conductivity cell, a platinum thermometer and silicon pressure sensor.

The CTD temperature sensor is calibrated on the ITS-90 temperature scale against a master CTD using a controlled temperature bath. The pressure sensor is calibrated using a Druck Pressure Calibrator. The conductivity sensor is calibrated in a temperature controlled bath against seawater samples of known conductivity.

The HS_CTD is lowered and raised by a hand winch sampling at a rate of 1.83 Hz. Data files were recorded in the downcast and upcast direction but most data is from downcasts due to higher quality. Raw CTD pressure data is not always monotonic due to transient up/down motion of winch/ship. Raw pressure data is subsetted to give a monotonic (increasing) sequence and then linearly interpolated to 1 decibar pressure intervals and converted to netCDF format files. Data is then flagged with quality control flags after visual inspection and comparison to average climatology and historical CTD casts.

Tags: Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, sea_water_practical_salinity, sea_water_temperature
Organization: Australian Ocean Data Network
CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClimSulfate

sstClimSulfate is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5
(http://cmip-pcmdi.llnl.gov/cmip5/). CMIP5 is meant to provide a framework for coordinated
climate change experiments for the next five years and thus includes simulations for
assessment in the AR5 as well as others that extend beyond the AR5.

6.4b sstClimSulfate (6.4b sulfate aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2)

Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository

Entry name/title of data are specified according to the Data Reference Syntax
(http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf)
as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble
member/version number/variable name/CMOR filename.nc.

Tags: 0399 - Other Chemical Sciences, 0401 - Atmospheric Sciences, 0405 - Oceanography, 0406 - Physical Geography and Environmental Geoscience, Atmospheric Sciences, National Computational Infrastructure (NCI), Oceanography, Other Chemical Sciences (Environmental Chemistry), Physical Geography and Environmental Geoscience
Organization: Australian Ocean Data Network
MARine Sediment (MARS) database

The MARine Sediment (MARS) database contains detailed information on seabed sediment characteristics for samples collected from Australia's marine jurisdiction, including the Australian Antarctic Territory. It includes survey and sample information such as locations, water depths and sample descriptions. Data are also provided from quantitative analyses of the sediments, such as grain size, mud, sand, gravel and carbonate concentrations, mineralogy, age determinations, geochemical properties, and physical attributes for down-core samples including bulk density, p-wave velocity, porosity and magnetic susceptibility. Images and graphics are presented, where available. MARS currently holds &gt;40,000 sample and sub-sample records, and approximately 200,000 records describing the characteristics of these samples. New data are being added as they become available.

Tags: Oceans | Marine Sediments | Sediment Characteristics, Oceans | Marine Sediments | Sediment Composition, Oceans | Marine Sediments | Sediment Grain Size, Oceans | Marine Sediments | Stratigraphic Sequence
Organization: Australian Ocean Data Network
2021 State of the Environment Report Marine Chapter – Expert Assessment – State and Trend – Viral diseases, parasitic infestations, mass die-offs

The Marine chapter of the 2021 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "State and Trend of viral diseases, parasitic infestations, mass die-offs". 
<strong><em>A PDF of the full Expert Assessment, including figures and tables (where provided) is downloadable in the "On-line Resources" section of this record as "EXPERT ASSESSMENT 2021 - Viral diseases, parasitic infestations, mass die-offs"</em></strong>



DESCRIPTION OF SPECIES/COMMUNITY/PROCESS FOR EXPERT ASSESSMENT
Australia has one of the largest Exclusive Economic Zones in the world, covering around 10 million square kilometres. This large marine area is shared and valued by Indigenous, commercial and recreational fishing and aquaculture, natural resource mining and shipping industries, and the general public for its marine conservation values. Threats to our marine ecosystems and natural resource assets are constant and continuous. An impact caused by aquatic animal diseases can be exaggerated by environmental stressors, such as marine water heatwave or contamination by various pollutants (ABC 2019). Various pathways of pathogen introduction to our marine environment exist, such as through imported seafood, vessel biofouling or ballast water discharge and those risks need to be managed (Deveney 2019; Georgiades et al in Press 2021).

DATA STREAM(S) USED IN EXPERT ASSESSMENT
NACA reporting – quarterly reports provided at the national level.



2021 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]

• 2021 •
Assessment grade: Good
Assessment trend: Stable
Confidence grade: Limited
Confidence trend: Limited
Comparability: Somewhat comparable
• 2016 •
Assessment grade: Very good
Assessment trend: Stable
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Adequate high quality evidence and high level of consensus
Comparability: Grade and trend are somewhat comparable to the 2011 assessment
• 2011 •
Assessment grade: Very good
Assessment trend: Stable
Confidence grade: Limited evidence or limited consensus
Confidence trend: Limited evidence or limited consensus



CHANGES SINCE 2016 SOE ASSESSMENT
Major disease outbreaks, such as white spot disease (Queensland) and Pacific Oyster Mortality Syndrome (NSW, Tasmania and South Australia) have occurred, maybe due to intensified environmental stressors and increased pathways of pathogen introduction to our marine environment through imported seafood, vessel biofouling and ballast water discharge. This is reflected in a change in the assessed grade from “very good” in 2016 to “good” for 2021.

Tags: biosecurity, disease, expert assessment, marine virus, parasitic infection
Organization: Australian Ocean Data Network
Recreational Boating

This resource is relates to recreational use patterns from surveys with recreational boaters at 12 locations around Australia across 2019-2020. The collected recreational use patterns are intended to be indicative of use levels for various marine areas. Use patterns were recorded during face-to-face surveys at boat ramps using gridded maps upon which boaters indicated areas they had visited in the last 12 months along with approximate percentages, indicating the relative time spent at each location.

Data is supplied modelled frequency of recreational boating trips (per grid cell per year), based on aggregated boat ramp survey data.

Data Source: https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/9f40ac0c-e0b1-436b-abc7-b19bc7159d86
Report: https://www.nespmarine.edu.au/document/social-and-economic-benchmarks-australian-marine-parks

Site as: Navarro, M, Langlois, TJ, Burton, M, Hegarty, A, Aston, C, Kragt, ME, Rogers, A (2021) Social and economic benchmarks of the Australian Marine Parks; https://www.nespmarine.edu.au/node/4682

Organization: Australian Ocean Data Network