AndreaBozzo/ceres-open-data-index huggingface dataset:
SAIMOS - Biological and Flow Cytometry data collected from CTD stations in South Australia, in April 2012

Flow cytometry data was collected in April 2012, in waters off South Australia. 
The general purpose of the study is to be able to establish background knowledge on the ecosystem on the continental shelf of South Australia and the impact of upwelling/saline outflow events on microbial communities to ultimately develop a biogeochemical model of the region. Sampling was carried out during cruises conducted on board the RV Ngerin as part of the Southern Australian Integrated Marine System (SAIMOS). During each cruise, the physical, chemical and biological properties of the chlorophyll fluorescence maximum (DCM) layer were investigated. Flow cytometry data has been collected for picophytoplankton, bacteria and viruses.
Six main stations have been sampled over the course of the study, five are located on the 100 m isobath, i.e. RS (35.508S, 136.278E), B2 (35.418S, 136.148E), B3 (35.258S, 136.048E), SAM2CP/B4 (35.168S, 135.418E) and SAM5CB/B5 (35.008S, 135.198E), and one from an offshore station (B1; 36.188S, 136.178E) located southwest of Kangaroo Island. Note that combining the distances between stations (14–25 nautical miles), the average component of the current velocity at middepth along the shelf (0.01 m s21) and the average speed of the vessel (i.e. 9 knots) indicate that different water masses were sampled at each station. Additional samples have on occasion been collected from the National Reference Station (NRS) at Kangaroo Island (35.832S, 136.447E) and the SA Spencer Gulf Mouth Mooring (SAM8SG, 35.25S, 136.690E), where the saline outflow occurs.

Tags: Biosphere | Microbiota | Bacteria, Biosphere | Vegetation | Phytoplankton, IMOS Node | SA-IMOS | Southern Australian Integrated Marine Observing System, Niskin Bottles, Oceans | Bathymetry | Water Depth, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Inorganic Matter, Oceans | Ocean Chemistry | Nitrogen, Oceans | Ocean Chemistry | Organic Matter, Oceans | Ocean Chemistry | Phosphate, Oceans | Ocean Chemistry | Silicate, Oceans | Ocean Chemistry | Suspended Solids, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Winds | Surface Winds, Picophytoplankton, Virus, amount_of_bacteria_in_sea_water, amount_of_picophytoplankton_in_sea_water, amount_of_virus_in_sea_water, concentration_of_chlorophyll_in_sea_water, depth, depth_of_chlorophyll_maximum, latitude, longitude, mass_concentration_of_particulate_inorganic_matter_in_sea_water, mass_concentration_of_particulate_organic_matter_in_sea_water, mass_concentration_of_suspended_matter_in_sea_water, mole_concentration_of_nitrogen_in_ammonium_in_sea_water, mole_concentration_of_nitrogen_in_nitrate_and_nitrite_in_sea_water, mole_concentration_of_phosphorus_in_phosphate_in_sea_water, mole_concentration_of_silicate_in_sea_water, sea_surface_temperature, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
Parent record: Datasets relating to core MD032607 (off South Australia)

We must understand the natural cycles of the oceans to understand the evolution of our climate through geological time. Core MD 032607 was obtained in 2003 off the coast of Sumatra (36.9606 S, 137.4065 E). By investigating the properties and components of this core we are able to reveal some information regarding past oceanographic and climatic systems. Information obtained or inferred from the core include the isotopic composition of oxygen and carbon through time, an age vs. depth profile of the core (revealing sedimentation rates), the relative abundance of planktonic foraminifera over time, and estimates of historical sea-surface temperatures.

Tags: Biosphere | Ecological Dynamics | Population Dynamics, Oceans | Ocean Temperature | Sea Surface Temperature, Paleoclimate | Ocean/lake Records | Isotopes
Organization: Australian Ocean Data Network
WA Mangrove Assessment Project (1999-2000)

The data was organised into four major regions (Kimberley, Pilbara, Gascoyne and South West).  A database was created that documented key information.  The Australian Heritage Commission's criteria for the Register of the National Estate was used to identify, document and assess mangals in Western Australia, so that their natural and cultural values could be documented and afforded the appropriate management and protection. The study identified 363 significant mangal sites on the Western Australian coastline, forty-eight of which are already listed on the RNE with an additional 79 being nominated. Furthermore, this investigation concluded that another 41 sites met the RNE criteria thresholds and have thus been recommended for nomination.

Tags: Oceans | Coastal Processes | Mangroves, gascoyne, kimberley, mangals, natural heritage, northwestern, pilbara
Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS LEEUWIN ProjectID: HI444LEE_H From: 2007-07-30 To: 2007-08-10

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 7 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI444LEE_H from HMAS LEEUWIN. 
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
2016 SoE Marine Chapter - State and Trends - Inner shelf reef fish species

The Marine chapter of the 2016 State of the Environment (SoE) report incorporates multiple expert templates developed from streams of marine data. This metadata record describes the Expert Assessment "The state and trends of quality of species and groups - inner shelf reef fish species". The full Expert Assessment, including figures and tables (where provided), is attached to this record. Where available, the Data Stream(s) used to generate this Expert Assessment are accessible through the "On-line Resources" section of this record.

DESCRIPTION OF ECOLOGICAL SPECIES/COMMUNITY FOR EXPERT ASSESSMENT
Bony and cartilaginous fish assemblages found on coastal rocky and coral reefs &lt;25 m depth, around the Australian continent. This includes all species (most not exploited).
DATA STREAM(S) USED IN EXPERT ASSESSMENT
Reef Life Survey visual census data were used for the current status assessment, with extensive spatial coverage of sites around the continent. Temporal trend information came from a combination of RLS, LTTRMP and AIMS long-term GBR monitoring datasets at 16 particular locations (MPA locations include the broader region and sites inside and outside sanctuary zones): 
NSW: Batemans Marine Park, Jervis Bay Marine Park, Sydney, Lord Howe Island, Port Stephens
VIC: Beware Reef, Port Phillip Heads
SA: Encounter Bay (Fleurieu Peninsula)
WA: Rottnest Island, Jurien Marine Park, Ningaloo Marine Park
QLD: Capricorn-Bunker, Southern GBR, Central GBR, Northern GBR
TAS: Maria Island

2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• 2016 •
Assessment grade: Poor
Assessment trend: Deteriorating
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: Poor
Assessment trend: Stable
Confidence grade: Limited evidence or limited consensus
Confidence trend: Limited evidence or limited consensus

CHANGES SINCE 2011 SOE ASSESSMENT
Unclear what the 2011 assessment was based on.

Tags: community structure, expert assessment, fish, inner shelf
Organization: Australian Ocean Data Network
Collated data inventory for Mongolian Lesser Sand Plover in relation to the Gippsland Offshore Renewable Energy declaration area (NESP MaC 3.21)

This project undertook a rapid exploration of information on a priority subset of species identified by the Department of Climate Change, Energy, the Environment and Water (DCCEEW) and the National Offshore Petroleum Safety and Environment Authority (NOPSEMA) that are listed as critically endangered or endangered under the Environment Protection and Biodiversity Conservation Act 1999. It specifically focused on these species in relation to the Gippsland declaration area, and the adjacent areas to the declaration area in Bass Strait.
This rapid exploration of information was conducted as follows:
1)  identify datasets and information sources relevant to priority species identified by DCCEEW and NOPSEMA for the Gippsland declaration area; 
2)  identify the source of these datasets and information and their level of accessibility;
3)  evaluate the utility of datasets and information identified in 2) for assessments/regulatory processes required to be undertaken by DCCEEW and NOPSEMA; and 
4)  identify what activities would need to be undertaken to improve the accessibility and utility of datasets and information sources identified in 3) that are not currently accessible in useable formats. 
Fifteen priorities species (12 birds, 3 cetaceans) were identified for which publicly-available occurrence data could be located. This record and the attached download describes the data inventory for Mongolian Lesser Sand Plover (Charadrius mongolus).
To download the data inventory for all fifteen priority species, see https://doi.org/10.25959/GB51-RW44.

Tags: Charadrius mongolus, Offshore renewable energy (ORE), Offshore wind energy, Seabirds, Shorebirds, Threatened, endangered and protected species
Organization: Australian Ocean Data Network
Sonde data measured during a high rainfall event in Port Jackson, 21 August 2007.

The Sydney Harbour catchment area includes a number of different river systems which drain into the Port Jackson estuary. During high rainfall events the catchment areas behave differently to deliver contaminants into the Port Jackson estuary. Under conditions of high rainfall contaminants are delivered to areas very quickly as freshwater slides over the top of the denser more saline waters of the estuary. Sonde samples, for measurement of conductivity, salinity, turbidity and temperature; were taken along the Port Jackson estuary over three days to determine the behaviour of the freshwater plume as it travels in a layer of freshwater to be flushed or flocculate out at some point in the estuary.

Tags: Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Oceans | Salinity/density | Salinity, depth, sea_water_electrical_conductivity, sea_water_salinity, sea_water_temperature, turbidity
Organization: Australian Ocean Data Network
Theme 2C: Effect of water-borne contaminants.

Urban cities generate considerable potential for ecological disturbance leading to environmental degradation (Programme 2: Anthropogenic Disturbances of Coastal Habitats). In particular, there are problems for organisms on hard and soft substrata because of building jetties, seawalls, pilings, etc. Human disturbances include foraging for bait and food and disposal of wastes. The research to understand ecological changes due to these disturbances is time-consuming and long-term, particularly when experimental analyses of processes during disturbances are planned.
Predicting, measuring and interpreting impacts are hamstrung by poor sampling and analysis - often dictated by inadequate statutory requirements for Environmental Impact Statements. One major problem is that natural ecological assemblages of species vary enormously from time to time and place to place. Thus, even when undisturbed by people, ecological patterns are very different from place to place and change rapidly from time to time. 
Anywhere that people live and work creates wastes, by-products and contamination. We dispose of sewage, industrial, agricultural and domestic chemicals, heat and freshwater in numerous outfalls. These operate continuously or sporadically (such as storm-water drains) to create a mosaic of short and long-term, acute and chronic contamination of coastal waters.
The Centre for Research on Ecological Impacts of Coastal Cities (EICC) has generated many scientific papers and theses from research projects on the effects of different forms of contamination. The link to the URL provided in this record provides a link to this research

Tags: Anthropogenic, Ecology, Oceans | Marine Biology | Marine Habitat, contaminants, water-borne
Organization: Australian Ocean Data Network
Monitoring Sea Country of the Anindilyakwa Indigenous Protected Area, Groote Eylandt, Northern Territory (ALC)

On the heels of comprehensive surveys in 2016 and 2018 of the Groote Eylandt Indigenous Protection Area (IPA) which mapped the sea floor and investigated water and sediment quality and fish communities, the Anindilyakwa Land &amp; Sea Rangers and Anindilyakwa Land Council (ALC) joined forces with the Australian Institute of Marine Science in 2019 to develop a fish monitoring partnership. The monitoring program was designed to provide ongoing scientific data to track the ongoing health and status of culturally important fish resources in the shallow water habitats of Groote Eylandt, a stated objective of the Anindilyakwa Indigenous Protected Area Plan of Management 2016.  Participatory mapping of Sea Country by Angurugu and Umbakumba Rangers and Traditional Owners was used as the basis of the program&rsquo;s sampling design to best assess location of monitoring sites and provide a permanent record of local ecosystem knowledge.
Fish monitoring began in 2019 and occurs once a year during October/November, targeting fish communities and year-round in-situ water temperature. Surveys are conducted with remotely operated systems (BRUVS &amp; Vemco temperature loggers) that allow collection of long-term data which can be archived and queried at a number of levels. BRUVS surveys were not completed in 2021 and 2022 survey effort changed from (previous) 160 BRUVS drops to 30 initiated to support senior staff shortages in Anindilyakwa and Umbakumba Rangers. 
All data are collected by the rangers with video and statistical analysis done at AIMS to assess annual trends in fish abundance and diversity. Temperature data contributes to AIMS&rsquo; National Temperature Data Program.
The ALC Rangers are the first Northern territory members of the Northern Australia Marine Monitoring alliance (NAMMA), a partnership between AIMS and Traditional Owners across tropical Australia.

Organization: Australian Ocean Data Network
NESP TWQ Project 2.1.1 - Integrated Pest Management of Crown-of-Thorns Starfish, 2016-2018 (CSIRO)

Successful Crown-of-Thorns Starfish (CoTS) management will, for the foreseeable future, depend on manual control at specific sites being effective and efficient. This project will develop an Integrated Pest Management approach to site management, based on a detailed understanding of CoTS ecology and management operations, to protect coral and maximise performance of control activities at economically and ecologically important reefs. It will provide an intelligent, field-deployable decision support tool to guide strategic selection of control activities based on site conditions and management constraints. This approach will be underpinned by new, targeted field work focussed on improving management.

Tags: National Environmental Science Programme Tropical Water Quality (NESP TWQ) hub, marine
Organization: Australian Ocean Data Network
Biogeochemical modelling on Australias North West Shelf

A numerical biogeochemical model was applied to the North West Shelf to investigate the primary productivity dynamics of the region. A subsurface chlorophyll a maximum (SCM) of 1 to 1.5 mg Chla m-3 was found below the mixed layer at depths of approximately 70 m. Surface concentrations of chlorophyll and nitrate were low. The SCM is maintained by a balance between nitrate uptake by phytoplankton, fed by nitrate fluxes into the SCM, and nitrate export in particulate form. The depth of the SCM is where phytoplankton can minimise growth by minimising light and nitrate limitation. The SCM will relocate closer to the surface as light availability decreases or the nitrogen flux increases, and vice versa. Also, any change in the grazing of zooplankton on phytoplankton results in a change in the SCM depth, where increased grazing leads to a shallower SCM. The flux of nitrogen into the SCM was primarily due to vertical processes, with vertical diffusion responsible for the largest background flux of nitrate. Vertical advection can locally increase nitrate supply into the SCM. Horizontal fluxes of nitrate do not directly contribute to the supply of nitrate into the SCM, but are important in maintaining a high concentration pool of nitrate at depth. Variability of the SCM occurs on timescales of the spring neap tide. Surface chlorophyll concentration is highest in an offshore band and during spring tides when mixing is more vigorous the chlorophyll concentration in this band increases and its position moves further offshore. This is a combination of the SCM becoming shallower due to higher turbidity decreasing light availability, and larger bottom boundary layers creating deeper zones of surface to bottom mixing. Variability of the SCM is also observed on seasonal timescales. The SCM is more distinct with a surface signature closer inshore in the wet season, and more dispersed with surface signature offshore in the dry. The seasonal variability is attributed to changes in mixed layer depth resulting from atmospheric forcing. The impact of the passage of a tropical cyclone (Tropical Cyclone Bobby, February, 1995) on the SCM was investigated. Primary productivity only increases by small amounts during such an event. Increased, deeper mixing due to the large wind stress and upwelling near the centre due to divergence competes with a deepening nutricline, resulting in little new nitrate brought to the surface. Subsequent to the cyclone passage, vertical motion of the nutricline at the near inertial period can lead to increases in nitrate concentration and productivity above and within the SCM. Greater increases are observed further offshore.

Organization: Australian Ocean Data Network
Wind statistics at Governor Head Meteorological Station, Jervis Bay in October 1989

This dataset is a component of the 'Jervis Bay Baseline Studies' project conducted by the Department of Defence, CSIRO and the Australian Defence Force Academy.
The meteorological station (35.133S, 150.762E) recorded winds and atmospheric pressure at Governor Head (Jervis Bay). The site is several hundred metres inland of 50m high cliffs and is 63m above sea-level.
This record provides wind statistics for October 1989. Five datasets are included here representing different times of the day: 0000-0550, 0600-1150, 1200-1750 and 1800-2350. Individual measurements have been converted so that trends of wind speed and direction can be seen for the time period in question. The fifth dataset incorporates all the wind data collected irrespective of time providing a monthly summary. The station initially recorded wind data at 10 minute intervals.
This is one of thirty-six child records that relate to the parent, 629051e0-2b7b-11dd-a343-00188b4c0af8. A pdf outlining the structure and hierarchy of metadata records relating to the 'Jervis Bay Baseline Studies' project is available to download through this record. Meteorological data was collected to investigate wind forced circulation in Jervis Bay, NSW.

Tags: Atmosphere | Atmospheric Winds | Surface Winds, date, time, wind_from_direction, wind_speed
Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment in Tasmania in Storm Bay (March - April 2012)

The dataset contains temperature, salinity and biological parameters measured by a Slocum glider in Storm Bay (Tasmania). Note that there is no dissolved oxygen record in this dataset.
Slocum glider data from the oceans around Australia have been collected by the Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)), since June 2008 and are ongoing. The data are obtained from an onboard suite of instruments which include Seabird-SBE41 CTD (Conductivity, Temperature, Depth), WETLabs BBFL2SLO 3 parameter optical sensor (measuring Chlorophyll-a, CDOM and 700nm Backscatter) and an Aanderaa oxygen optode (measuring concentration of dissolved oxygen in seawater.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Coloured Dissolved Organic Matter (CDOM), Countries | Australia, Fluorometers, Oceans | Ocean Chemistry | Chlorophyll, Oceans | Ocean Chemistry | Oxygen, Oceans | Ocean Chemistry | Suspended Solids, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Optics | Fluorescence, Oceans | Ocean Optics | Turbidity, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, States, Territories (Australia) | Tasmania, concentration_of_coloured_dissolved_organic_matter, fluorescence_in_sea_water, mass_concentration_of_oxygen_in_sea_water, sea_water_electrical_conductivity, sea_water_pressure, sea_water_salinity, sea_water_temperature, volumetric_backscatter_coefficient
Organization: Australian Ocean Data Network