AndreaBozzo/ceres-open-data-index huggingface dataset:
WAMSI 2 - Dredging Node - Project 4.9 - Defining Thresholds and Indicators of Coral Response to Dredging Related Pressures - Mortality Pathways and Water Quality Thresholds

Data is in the form of a Microsoft Access databases, excel workbooks and csv files, showing the original data together with site information (GPS coordinates), and date collected. Data is also in the form of a report, which will be a secured (printable, non-editable), searchable, Portable Document Format (PDF) showing the results of the analyses.
The aim of the Western Australian Marine Science Institution (WAMSI) DREDGING SCIENCE NODE Project 4.9, is to thoroughly characterise how dredging activities alters reef water quality (i.e. total suspended solids levels (TSS), underwater light levels and photosynthetically active radiation (PAR) i.e. (light attenuation) in terms of temporal and spatial characteristics (including spectral analyses of temporal patterns) and how these changes in water quality impact on coral health. The data are important for developing water quality thresholds for dredging projects and to improve the ability to predict and manage the impact of future projects.
Data used to conduct these analyses were from four large scale capital Dredging projects conducted in the Pilbara region of Western Australia using in situ water quality instrumentation, as well as time series photographic images of individual coral heads (available for the Gorgon project at Barrow Island only). Federal Ministerial Approval Statements for the four projects: MS757, MS800, MS840, MS0873, which are searchable on the WA EPA website: http://www.epa.wa.gov.au. These data are available through a data sharing agreement with WAMSI, pending approval of the individual companies.

Organization: Australian Ocean Data Network
IMOS - Ocean Gliders - Slocum glider deployment in Western Australia off Pilbara (Feb-Mar 2013)

The dataset contains temperature, salinity and biological parameters like for example dissolved oxygen and turbidity data measured by a Slocum glider in the region off Pilbara (Western Australia).
The Ocean Gliders Facility (formerly known as the Australian National Facility for Ocean Gliders (ANFOG)), manages Slocum gliders to be deployed on the continental shelf.
The variables available in this dataset are:
Temperature, salinity, conductivity, density, pressure, chromophoric dissolved oxygen matter, dissolved oxygen, fluorescence and backscatter coefficient at 660nm.

Tags: CTD (Conductivity-Temperature-Depth Profilers), Coloured Dissolved Organic Matter (CDOM), Countries | Australia, Fluorometers, Glider, IMOS Node | Bluewater and Climate, 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, Slocum Glider, States, Territories (Australia) | Western Australia, 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
The physical oceanography of Bowling Green Bay, north Queensland: Station BG01

An Interocean S4 vector averaging current meter was deployed on a mooring at Station BG01. This was one of four current meters placed along the line joining Cape Cleveland and Cape Bowling Green to investigate the relationship between winds and boundary currents. This current meter was one of two current meters placed at either end of the bay to measure longshore flow through the end boundaries.Deployment Details:Instrument: S4 #549Instrument depth: 15mSampling interval: 30 minutesDate deployed: 22/10/1984Date recovered: 17/03/1985
 This study was initiated to:1. gain an understanding of the circulation of water in Bowling Green Bay2. complement concurrent studies by AIMS scientists researching the ecology, nutrient regime and trophodynamics of the coastal boundary of the Great Barrier Reef lagoon.

Organization: Australian Ocean Data Network
Zooplankton populations in Taiaro Atoll lagoon (Tuamoto Archipelago, French Polynesia)

Nocturnal zooplankton around Taiaro Atoll were collected as bycatch while sampling for ichthyoplankton over 6 nights in February 1994. Replicate zooplankton samples were collected at windward and leeward locations in the enclosed lagoon and at adjacent ocean sites, using a metered net (85 cm diameter, 500 µm mesh; 5 m depth): the 36 samples generated a total of 71 taxa and 600 000 individual zooplankters. Data within lagoon sites (both windward and leeward at 5 m depth) is reported by nights (14, 16, 18 Feb) whereas data within ocean sites is reported by isobaths (200, 500 and 1000 m) over which sampling ocurred. Average (mean number of individuals m-3) and relative (percentage of total) abundance of zooplankton taxa were recorded.Oceanic samples comprised 50 taxa, mostly holoplanktonic. Lagoonal samples comprised 19 taxa, mostly meroplanktonic, of which 3 taxa (decapod larvae; an ostracod, Cypridina sp.; a copepod, Acartia fossae) contributed 90% of individuals.
 The purpose of this expedition was to discover whether the diverse fish assemblages within the lagoon could be self-sustaining despite very limited contact with the ocean.
 Taxa: Calanoid copepods (Acartia fossae ); Callianassidae; Chaetognatha; Cladocera; Cumacea; Cyclopoid Copepoda; Decapoda; Echinodermata larvae; Echinopluteus larvae; Euphausiacea; Euphausiacea larvae; Fish eggs; Foraminifera; Galatheidae; Gammaridea; Gastropoda larvae; Harpacticoid Copepoda; Heteropoda; Hydromedusa; Hyperid Amphipoda; Isopoda; Larvacea; Megalopa; Miscellaneous eggs; Mysidacea; Nauplii; Non-Brachyuran larvae (Alpheid-Athanas sp., Alpheus sp., Callianassid, Galatheid, Leptochela sp., Laomediid, Periclimenes sp.); Ostracoda (Cypridina sp.); Polychaeta; Polychaeta larvae; Protozoea; Pteropoda; Salpidae; Siphonophora; Stomatopoda larvae; Tanaidacea; Zoea; Other.Fish larvae sampled at the same time are described in a separate metadata record.

Organization: Australian Ocean Data Network
WAMSI 2 - DREDGING NODE - PROJECT 4.4 Continuous in situ monitoring of sediment deposition in shallow benthic environments

The objective of WAMSI DREDGING SCIENCE NODE Project 4.4 was to examine the suitability of automated in situ sediment deposition sensors based essentially on an upward facing nephelometer to assess sediment deposition. Prototype versions of this device have been deployed in situ and although the sensor currently gives useful information, the shape of the sensor needs to be optimized and the sensor readings need to be calibrated against settled sediment surface density as measured in units of mg cm2. The objective of Project 4.4, was to re-design, optimise and calibrate the deposition sensor head to more closely mimic the trapping of sediments on a coral&#39;s surface. The project determined how the new sensor geometry responds in  the laboratory (at the National Sea Simulator (Sea Sim) based at the Australian Institute of Marine Science (AIMS, Townsville, Queensland)) caused by different particle size distributions under different turbulence regimes. a and also turbidity events and deposition events in situ during a field deployment in Cleveland Bay (Queensland, Australia)
Data is in the form of a report, which is a secured (printable, non-editable), searchable, Portable Document Format (PDF) showing the results of the analyses, and an Excel spreadsheet showing the result of the in situ deployment.

Organization: Australian Ocean Data Network
2016 SoE Marine Chapter - Pressures - Recreational fishing

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 "Pressures on the marine environment associated with recreational fishing". 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 THE PRESSURE
Australia’s marine recreational fishery applies substantial pressure to specific species and taxa. For some targeted species harvest can exceed the take of the commercial fishery.  For instance recreational tonnage of southern sand flathead in Tasmania in 2012/13 was six times that of the commercial fishery (Lyle et al., 2014), while the estimated recreational harvest of King George whiting in South Australia in 2013/14 was 1.46 million fish or 367 tonnes, which was more than half (58%) of the total harvest (Hall and Giti, 2015). 
While participation rates remain high in absolute terms for WA, NSW, QLD and TAS there has been a trend of declines in effort, participation and harvest. In contrast in South Australia there was an increase in participation but a decline in effort and harvest. For VIC expert opinion suggests an increase across all fishery metrics while for NT effort and participation has increased but harvest has declined.
DATA STREAM(S) USED IN EXPERT ASSESSMENT
Expert opinion and state assessment reports were sourced from all states. 14 interviews were conducted with experts based in all states.  While more interviews would have been useful to better gauge perception the high level picture was easily discernible.

2016 SOE ASSESSMENT SUMMARY [see attached Expert Assessment for full details]
• 2016 •
Assessment grade: High impact
Assessment trend: Stable
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Limited evidence or limited consensus
Comparability: Grade and trend are not comparable to the 2011 assessment
• 2011 •
Assessment grade: Low impact
Assessment trend: Improving
Confidence grade: Adequate high quality evidence and high level of consensus
Confidence trend: Limited evidence or limited consensus

CHANGES SINCE 2011 SOE ASSESSMENT
N/A

Tags: anthropogenic stress, expert assessment, fisheries management
Organization: Australian Ocean Data Network
The effects of buy-back programs in the British Columbia Salmon Fishery: WORKING PAPER

This record describes, and links to a working paper published through the Economics and Environment Network at The Australian National University in Canberra. The paper was prepared for the International Workshop on Fishing Vessel and License Buy-Back Programs, held at the University of California between March 22nd-24th, 2004. 

Policy makers have implemented five distinct buybacks of either vessels or salmon licenses over the past three decades in the British Columbia (BC) salmon fishery. The earliest buyback was one of the first of its kind in any fishery and the most recent buyback is one of the largest ever in terms of reducing vessel numbers and the funds used. This paper reviews the circumstances under which these buybacks were conducted with an emphasis on their impact on reducing fishing capacity and effort. The focus is on the two most recent buybacks that took place in 1996 and 1998-2000, what has been learned and what they have achieved.

Tags: 37 094000, Agriculture | Agricultural Aquatic Sciences | Fisheries, Buy-back, Human Dimensions | Economic Resources, Salmon
Organization: Australian Ocean Data Network
IMOS - National Mooring Network Facility - Temperature gridded data product (superseded)

The National Mooring Network Facility (formerly known as the Australian National Mooring Network (ANMN)), is a series of national reference stations and regional moorings designed to monitor particular oceanographic phenomena in Australian coastal ocean waters. The data files represented by this record contain the aggregated, averaged and regridded temperature time-series profiles measured during mooring deployments. The series of National Reference Stations (NRS) and several regional stations from the "Queensland and Northern Australia", "New South Wales" and "Western Australia" sub-facilities contribute data to produce the temperature gridded data product presented here. The products in this collection were an early prototype developed solely by the AODN. They are no longer updated, and have now been archived. 
They have been superseded by new gridded products developed in collaboration with technical experts from the IMOS National Mooring Network and Deep-water Moorings facilities as part of the Moorings Time Series Products project. Since February 2020, the new products are available via a new collection (IMOS - Moorings - Gridded time-series product: https://catalogue-imos.aodn.org.au:443/geonetwork/srv/api/records/279a50e3-21a5-4590-85a0-71f963efab82). They will be regularly updated with new data.

Tags: Buoys | Moored Buoys, CTD (Conductivity-Temperature-Depth Profilers), Coastal Cities / Towns (Australia) | Coffs Harbour, NSW, Coastal Cities / Towns (Australia) | Esperance, WA, Coastal Cities / Towns (Australia) | Perth, WA, Coastal Cities / Towns (Australia) | Sydney, NSW, Countries | Australia, Countries | Indonesia, Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Marine Features (Australia) | Batemans Bay, NSW, Marine Features (Australia) | Great Australian Bight, SA/WA, Marine Features (Australia) | Great Barrier Reef, QLD, Marine Features (Australia) | Jervis Bay, ACT, Marine Features (Australia) | Kangaroo Island, SA, Marine Features (Australia) | Kimberley Coast, WA, Marine Features (Australia) | Kimberley Islands, WA, Marine Features (Australia) | Ningaloo Marine Park, WA, Marine Features (Australia) | Pilbara Coast, WA, Marine Features (Australia) | Rottnest Island, WA, New South Wales Moorings Sub-Facility, Integrated Marine Observing System (IMOS), Oceans | Bathymetry | Water Depth, Oceans | Ocean Temperature | Water Temperature, Queensland and Northern Australia Moorings Sub-Facility, Integrated Marine Observing System (IMOS), Regional Seas | Coral Sea, Regional Seas | Timor Sea, Shelf Mooring, Slope Mooring, States, Territories (Australia) | New South Wales, States, Territories (Australia) | Northern Territory, States, Territories (Australia) | Queensland, States, Territories (Australia) | South Australia, States, Territories (Australia) | Western Australia, Western Australia Moorings Sub-Facility, Integrated Marine Observing System (IMOS)
Organization: Australian Ocean Data Network
Native spider crab predation on Asterias amurensis

This study reports on previously undescribed predation on Asterias amurensis in the Derwent Estuary, Tasmania by the spider crab Leptomithrax gaimardii (Milne Edwards). Specifically, this study describes the predatory interaction between the spider crab and A. amurensis and quantifies patterns of sub-lethal injuries inflicted on the seastar during a localised aggregation of the spider crab.

Tags: 25 154001, 28 880010, Asterias amurensis, Biosphere | Ecological Dynamics | Competition, Biosphere | Ecological Dynamics | Predation, Biosphere | Zoology | Crustaceans, Biosphere | Zoology | Echinoderms, Density, Leptomithrax gaimardii, Oceans | Marine Biology | Marine Habitat, Pattern of sub-lethal damage, Rate of wound regeneration, Ray length - seastar, Sub-lethal damage incidence
Organization: Australian Ocean Data Network
Shell cross sections of the bivalve Ostrea angasi collected from Pambula Lake, NSW

Petrological and some geochemical analysis methods require the sample to be made into a thin or thick section. This record provides a series of shell cross-sectional images and also outlines the process involved in thin/thick section preparation. 
This is part of a project that assesses the viability of interpretating environmental records (such as temperature, salinity and heavy metal pollution) from shell geochemistry through trace element and isotopic analysis.

Tags: 23257002, Biosphere | Zoology | Mollusks, Oceans | Ocean Chemistry | Trace Elements, Ostrea (Eostrea) angasi, Paleoclimate | Ocean/lake Records | Isotopes
Organization: Australian Ocean Data Network
Morocco Sea Surface Temperature and Fish Production in EASy GIS.

Modelling Ocean Nourishment in Morocco Using the EASy GIS system. A set of fisheries and bathymetry data was processed to show the trend of pelagic fish production along the coast of Morocco at using the EASy GIS, in 2002.

Tags: Oceans | Marine Biology | Fish, Oceans | Ocean Temperature | Sea Surface Temperature
Organization: Australian Ocean Data Network
Shell cross sections of the bivalve Saccostrea glomerata collected from Moreton Bay

Petrological and some geochemical analysis methods require the sample to be made into a thin or thick section. This record provides a series of shell cross-sectional images and also outlines the process involved in thin/thick section preparation. 
This is part of a project that assesses the viability of interpretating environmental records (such as temperature, salinity and heavy metal pollution) from shell geochemistry through trace element and isotopic analysis.

Tags: 23257006, Biosphere | Zoology | Mollusks, Oceans | Ocean Chemistry | Trace Elements, Paleoclimate | Ocean/lake Records | Isotopes, Saccostrea glomerata
Organization: Australian Ocean Data Network
Temperate Australian quantitative spatial and temporal abundance data for rocky reef biota (biodiversity): long-term Tasmanian MPAs

The data is quantitative abundance of fish and megafaunal invertebrates and algal % cover derived from transect based counts at a wide range of locations across Temperate Australia. The methods are described in detail in Edgar and Barrett (1997). Primarily the data are derived from transects at 5 m depth and/or 10 m depth at each site surveyed. Methods were initially developed for research on temporal changes following protection in Tasmanian long-term MPAs (Maria Is, Tinderbox, Ninepin Point, Governor Island). These data are temporally replicated (year scale).

Tags: Abundance - fish, Abundance - invertebrates, Carapace length - rock lobster, Fish size class, Percentage cover algal species, Shell length - abalone
Organization: Australian Ocean Data Network
WAMSI 2 - Dredging Node - Project 4.2 - Defining Thresholds and Indicators of Coral Response to Dredging Related Pressures - WATER QUALITY, Western Australia

Data is in the form of a Microsoft Access database, showing the original data together with site information (GPS coordinates), date collected. Data is also in the form of a report, which will be a secured (printable, non-editable), searchable, Portable Document Format (PDF) showing the results of the analyses
The aim of the Western Australian Marine Science Institution (WAMSI) DREDGING SCIENCE NODE Project 4.2, was to thoroughly characterise how dredging activities altered reef water quality (i.e. total suspended solids levels (TSS), underwater light levels and photosynthetically active radiation (PAR) i.e. (light attenuation) in terms of temporal and spatial characteristics (including spectral analyses of temporal patterns) and how the nature of dredging-related turbidity events differed from natural turbidity events in terms of intensity, duration and frequency. The results are valuable for future experiments and the design of more environmentally realistic laboratory-based, ex situ studies of the effects of turbidity and light reduction on reef biota. Together with analyses of the effects of these dredging projects on the underlying reef communities (Western Australian Marine Science Institution (WAMSI) DREDGING SCIENCE NODE Project 4.6) the data is important for developing water quality thresholds for dredging projects and to improve the ability to predict and manage the impact of future projects (see Western Australian Marine Science Institution (WAMSI) DREDGING SCIENCE NODE Project 4.6)
Data used to conduct these analyses was from three large captial Dredging projects conducted in the Pilbara region of Western Australia using in situ water quality instrumentation (Federal Ministerial Approval Statements: MS757, MS800, MS840, which searchable on the WA EPA website: http://www.epa.wa.gov.au). These data are available through a data sharing agreement with WAMSI, pending approval of the individual companies.

Organization: Australian Ocean Data Network
Queensland Landuse (QLUMP) - Bright Earth Classification 1999-2012 (NERP TE 13.1 eAtlas, source: DSITIA)

This dataset is subset and aggregation of the current Queensland land use dataset (1999 - 2012) by Queensland Land Use Mapping Program (QLUMP)  produced by the Queensland Government. The land use data was classified and aggregated into areas that represent Human Use, Agriculture and Water areas such as lakes and rivers.

Organization: Australian Ocean Data Network
OSU Buoy Group: Ocean Predicting Through Observations, Modeling and Analysis (OPTOMA)

Data from moorings that were in place for at least 6 months in deep water and include meteorological data, pressure records and temperature records gathered by the Oregon State University (OSU) Buoy Group over a span of more than 35 years. In addition, included are a number of electronic (i.e., browser-formatted) data reports.
This dataset relates to current meter records from the Ocean Predicting Through Observations, Modeling and Analysis experiment.
Other links available on this site will take you to the collection of data reports, an historical retrospective of the Buoy Group and instructions on how to download the data for the following:

Atlantic Ocean data
Pacific Ocean data
Indian Ocean data
Southern Ocean data 
Electronic data reports
History of the Group
How to use this disk


Tags: Buoy world ocean, California Current, Deep water mooring, Oceans | Bathymetry | Water Depth, Oceans | Ocean Pressure | Sea Level Pressure, Oceans | Ocean Pressure | Water Pressure, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Conductivity, Oceans | Salinity/density | Salinity, PACIFIC OCEAN, beam_attenuation_coefficient, direction_of_sea_water_velocity, sea_water_electrical_conductivity, sea_water_pressure, sea_water_speed, sea_water_temperature, sea_water_u_velocity, sea_water_v_velocity
Organization: Australian Ocean Data Network