AndreaBozzo/ceres-open-data-index huggingface dataset:
Growth rate of coral reef sponges near Discovery Bay Jamaica after Hurricane Allen

In February 1986, specimens of five massive sponge species (Pseudoceratina crassa, Ircinia felix, Verongula ardis, Smenospongia aurea and Agelas dispar) were collected from 20 m depth, approximately 1 km to the west of the Discovery Bay Marine Laboratory in Jamaica. The site was covered by a dense bed of Acropora rubble in excess of half a meter thick, which had accumulated during Hurricane Allen and contained numerous small sponges and coral colonies growing on pieces of the rubble.Regular-shaped animals (presumably derived from a single larva), which were attached to rubble and without obvious signs of predation damage were chosen. The sponges were weighed after draining for approximately 20 seconds and the volume measured by displacement in water. Estimates of dry weight were made on 5 individuals of each species after drying for 36 hours at 80°C.The size-class structure of the Pseudoceratina crassa population was estimated using the MIX program, which is an interactive program used to fit distributions to grouped data by maximum likelihood estimation. For Pseudoceratina crassa, it was assumed that there were five size groupings representing the recruitment from five annual spawning events between Hurricane Allen (August 1980) and the date of collection. The mean size of sponges in each size-class was determined from the significant fit obtained to the size-frequency data with the MIX program. These mean values for each size-class were analyzed using a least squares regression to provide an exponential growth model (Wt = ae^alpha t) from which the relative growth rate alpha was estimated.Growth rates for the other four sponge species could not be obtained by the same method due to the limited number of specimens. Growth rate approximations for these species were derived using the growth model from Pseudoceratina crassa, assuming that the average size at 50 days after spawning was the same for all species. Dates for spawning of these species were extracted from the literature.
 Hurricane Allen passed within 50 km of the north coast of Jamaica on 6 August 1980. Large seas generated by winds in excess of 250 km per hour caused extensive damage to the coral reefs in the vicinity of the Discovery Bay Marine Laboratory.

Organization: Australian Ocean Data Network
World Ocean Observatory: Ocean Radio / Podcast Series

The World Ocean Observatory is an Internet-based place of exchange for ocean information, educational services, and public discourse about the ocean defined as an "integrated, global, social system," thereby relating the ocean to climate, biodiversity, fresh water, food, energy, human health, trade, transportation, policy, governance, finance, coastal development, and cultural traditions.
W2O provides comprehensive links to ocean issues and organizations through its news service, monthly letter, directory, catalogue of on-line resources, and interactive events focused on specific ocean questions and providing responsible science and information to institutions, experts, students and teachers, and curious citizens around the world.
W2O advocates through communications, building public awareness and political will for ocean sustainability through international networks, partnerships, organizations, educators, and individuals.
Peter Neill, Director of the World Ocean Observatory, hosts World Ocean Radio and provides coverage of a broad spectrum of ocean issues from science and education to advocacy and exemplary projects. There are currently 53 catalogue entries outlined below:

THE OCEAN CONNECTS ALL THINGS
OCEAN QUESTIONS 
THE LAW OF THE SEA
INTERNATIONAL MARITIME ORGANIZATION
NAVIGATION
AMERICA AND THE LAW OF THE SEA
WORLDS LARGEST CARGO SHIP
POLLUTION AT SEA
OIL POLLUTION 
BALLAST WATER AND INVASIVE SPECIES
SHIP DECOMISSIONING 
NOISE POLLUTION
OCEAN ACIDIFICATION
OCEAN POLLUTANTS ¿ TBT, DDT AND TRACE METALS
DEEP SEA DIVERSITY
SEAMOUNTS AND HYDROTHERMAL VENTS
MANGROVES
BOAT PEOPLE
OCEAN ENERGY: NON-RENEWABLE OIL AND GAS 
OCEAN-BASED RENEWABLE ENERGY 
OCEAN ENERGY: WIND, SOLAR AND OTEC
OCEAN ENERGY: POTENTIAL DOWNSIDES AND OTHER OPTIONS
OCEAN ENERGY: CONCLUSIONS
IPY - GLOBAL ARCTIC / ANTARCTIC RESEARCH
IPY - DOCUMENTING CHANGE IN FARAWAY PLACES
IPY - THE POLES AND PEOPLE
INTRODUCTION TO CORALS AND CORAL REEFS 
CORAL BIOLOGY
CORAL REEFS - DISTRIBUTION AND VALUE
THREATS TO CORAL REEFS
CORAL BLEACHING AND OTHER THREATS 
PROGNOSIS FOR CORAL REEFS
THE HIGH SEAS
HIGH SEAS ABUSE AND JURISDICTION
HIGH SEAS MARINE PROTECTED AREAS 
FRESHWATER TO OCEANS - INTRODUCTION
FRESHWATER TO OCEANS - FRESHWATER AS A RESOURCE 
FRESHWATER TO OCEANS - FRESHWATER SERVICES
FRESHWATER TO OCEANS - TRADEOFFS AND CONSEQUENCES 
FRESHWATER TO OCEANS - UPSTREAM POLLUTION AND OCEAN HEALTH 
FRESHWATER TO OCEANS - THE PROMISE OF WATERSHED MANAGEMENT 
OCEANS AND CLIMATE
COASTAL STRATEGIES AND INVENTION
NATIONAL OCEAN PROTECTION ACT
OCEANS AND HUMAN HEALTH
WATERBORNE DISEASES 
THE OCEAN AS A FRONTIER FOR NEW MEDICINES 
MARINE ORGANISMS AS MODELS FOR MODEL BIOLOGY 
MARINE PRODUCTS FOR RESEARCH AND INDUSTRY 
OCEAN LITERACY WITH CRAIG STRANG 
SEA TURTLES WITH IRENE KINAN-KELLY
HIGH SEAS FISHERIES WITH SEAN MARTIN 
SAVINGS OUR OCEAN: AN URBAN CHALLENGE - MAYOR JEREMY HARRIS


Organization: Australian Ocean Data Network
Patterns in the distribution of larval and pelagic juvenile fishes in the central Great Barrier Reef lagoon

The distribution of larval and pelagic juvenile fish was investigated along 2 cross shelf transects in the central Great Barrier Reef (GBR) lagoon, during October to December 1988 and October 1989 to January 1990. One transect originated just north of Cape Cleveland and extended out in the direction of Lodestone Reef (Transect LR), while the second transect originated near Cape Bowling Green and extended in the direction of Davies Reef (Transect CB). During the first survey season, 4 stations were located 8 km apart along each transect. The distance between the 4 stations was extended to 16 km for the second survey season, to span the width of the GBR lagoon. The sampling period was chosen to coincide with peak spawning of most fish species in the region and sampling equipment was deployed within a 10 day period either side of the new moon. Each transect was sampled between 1 and 3 times each month.At each station, 6 light traps were deployed 200-300 m apart, approximately 1 m below the surface and allowed to drift with the water mass. Traps were set up to fish for 1 hour, emptied and redeployed at the next station on the transect. While the traps were fishing, three 10 minute plankton tows were carried out in the immediate vicinity of the light traps. Plankton nets, fitted with a digital flowmeter, were set to fish between 0.5 and 2 m below the surface and towed at between 0.5 and 1.0 m/s. Samples were immediately preserved in 80-90% alcohol.Fish collected in the plankton nets were identified to family level, while fish collected in the light traps were identified to the lowest possible taxa. Fish were also measured under a stereo dissecting microscope with an ocular micrometer.The effect of time of night on catch rate was investigated for 4 nights at the 16 m station on the LR transect during October and November 1990. Four traps were fished within the the same general area for 1 hour at three times during the night (19:30 to 20:30h, 23:30 to 00:30h and 03:30 to 4:30h). Comparisons between anchored and drifting light traps were made on three occasions. On each occasion, 6 traps were set in a line perpendicular to the prevailing current direction. Alternating traps were then either anchored to the bottom or allowed to drift with the water mass and the traps fished for 1 hour.
 This research was undertaken to:1. describe the spatio-temporal variability in the distribution and abundance of larval and pelagic juvenile fishes across the central Great Barrier Reef lagoon2. compare the catches from light traps with those from plankton nets3. compare the catches from drifting light traps with those from anchored light traps4. compare catches at different times of night

Organization: Australian Ocean Data Network
Coastal Lake Assessment and Management Tool (CLAM): Narrawallee Inlet, Shoalhaven City Council

The Coastal Lake Assessment and Management (CLAM) tool allows stakeholders to assess the social, economic and environmental trade-offs associated with development, remediation and use options for coastal lakes and estuaries. Researchers at the Australian National University (ANU) developed CLAM in 2004 when contracted by the NSW State Government to provide sustainability assessments of 8 coastal lakes. Several projects have since been established directly with local government and NRM groups.
To date, 27 CLAMs have been developed in New South Wales, where they generally fit within estuary management or catchment management plans. To develop these CLAMs and build local capacity to maintain them, ANU-Enterprise Pty Ltd - the commercial company of ANU developed an Accreditation Scheme whereby local consultants are trained in the CLAM approach.

Tags: Agriculture | Agricultural Aquatic Sciences | Aquaculture, Agriculture | Agricultural Aquatic Sciences | Fisheries, Agriculture | Agricultural Plant Science | Reclamation/revegetation/restoration, Agriculture | Forest Science | Forest Fire Science, Agriculture | Forest Science | Reforestation, Biosphere | Aquatic Habitat | Coastal Habitat, Biosphere | Aquatic Habitat | Estuarine Habitat, Biosphere | Aquatic Habitat | Lakes, Biosphere | Aquatic Habitat | Rivers/stream Habitat, Biosphere | Aquatic Habitat | Saline Lakes, Biosphere | Terrestrial Ecosystems | Agricultural Lands, Biosphere | Terrestrial Ecosystems | Wetlands, Biosphere | Wetlands | Estuarine Wetlands, Biosphere | Wetlands | Riparian Wetlands, Human Dimensions | Economic Resources | Agricultural Economics, Human Dimensions | Environmental Impacts | Eutrophication, Human Dimensions | Environmental Impacts | Reclamation/revegetation/restoration, Human Dimensions | Environmental Impacts | Sewage, Human Dimensions | Environmental Impacts | Urbanization, Human Dimensions | Environmental Impacts | Water Management, Human Dimensions | Land Use/land Cover | Land Management, Hydrosphere | Surface Water | Lakes, Hydrosphere | Surface Water | Rivers/streams, Hydrosphere | Water Quality | Nutrients, Land Surface | Erosion/sedimentation | Suspended Solids, Land Surface | Landscape | Landscape Management, Narrawallee Inlet, Oceans | Coastal Processes | Estuaries, Oceans | Coastal Processes | Lagoons, Oceans | Coastal Processes | Mangroves, Oceans | Coastal Processes | Sea Level Rise, Oceans | Coastal Processes | Shorelines
Organization: Australian Ocean Data Network
Abundance and distribution of coastal, inshore zooplankton in the Huon Estuary and D'Entrecasteaux Channel, Tasmania

Mesozooplankton community composition and structure were examined throughout the D’Entrecasteaux Channel, Huon Estuary and North West Bay,  Tasmania, from November 2004 to October 2005.
The composition of the mesozooplankton community was typical of inshore, temperate marine habitats, with seasonally higher abundance in summer and autumn and lower numbers in winter and spring. Copepods were the largest contributors to total abundance across all seasons and stations, while cladocerans and appendicularians were proportionally abundant in spring and summer. The faecal pellets of these three main groups, along with those of krill and amphipods, also contributed significantly to material recovered from sediment traps. Meroplanktonic larvae of benthic animals showed short-term peaks in abundance and were often absent from the water column for long periods. Spatially, North West Bay and the Channel had a higher representation of typically marine species, including Calanus australis and Labidocera cervi, while truly estuarine species, such as the copepod Gladioferens pectinatus, were more important in the Huon Estuary.

Tags: Grazing rates, Secondary productivity, Temperate Reef
Organization: Australian Ocean Data Network
Age of Oceanic Lithosphere

This is an agegrid showing the present day age of the oceanic lithosphere around the Australian Continent .  The agegrid is created using a global set of seafloor spreading isochrons, reconstructed on the basis of approximately 40,000 marine magnetic anomaly identifications and fracture zones identified from marine gravity anomalies and a global set of finite rotations.

Tags: Oceans | Marine Geophysics | Seafloor Spreading, age
Organization: Australian Ocean Data Network
WAMSI 2 - Kimberley Node - 2.2.5 - Benthic Primary Productivity in the Kimberley region, Western Australia

The goal of this project is to integrate the research developed on benthic primary producers (BPPs) in shallow coastal waters of the Kimberley. This includes understanding variations in the physical environment and biogeochemical conditions, as well as the spatial distribution of BPPs and their contribution to productivity in the region.  Research objectives were:
- Develop a geographic information system (GIS) for spatially and temporally explicit baseline information on habitats and processes.
- Characterise reef platform and adjacent habitats based on environmental gradients.
- Identify key physical and biological drivers that influence distribution of benthic primary producers.
- Identify methods for integration of available data and upscaling to visited and unvisited sites.
- Contribute to improving the regional understanding of marine biodiversity, distribution and resilience.
- Develop baseline maps to go toward cost-effective methods for long-term monitoring of benthic primary-producer habitats and associated environmental processes.
Data from KMRP projects 1.3.1, 1.4, 1.2.5, 2.2.3 and 2.2.4 were used in this project.  ESRI Geodatabase and shapefiles are the output data for this project.
3 shapefile names - Thalassia_hemprichii_final.shp, tallonhabmapf.shp and Enhalus_acoroides_final.shp

Organization: Australian Ocean Data Network
Assimilation of Satellite Observations into Coastal Biogeochemical Models

This thesis investigates the improvement of forecasting water temperature in a coastal embayment through the assimilation of satellite sea surface temperature (SST).  Port Phillip Bay (PPB) in southeastern Australia was used as a case study, where temperature forecasts could be compared against in situ temperature measurements. Over the long term satellite derived SST observations were found to have negligible bias, however a strong diurnal bias was apparent.  The  model of PPB replicated the main features of PPB well, although the temperature prediction was warm biased. 
The actual assimilation of SST data was contrasted against a climatology forecast of PPB temperature.  The assimilation of SST, without any specific accounting for the diurnal bias improved the forecast, although errors due to observational bias were noted.  Attempts to remove this bias using diurnal correction algorithms failed, owing to a larger than expected cool skin. Conditional merging, which combines spatial and in situ observations, was applied to the SST observations and improved forecast accuracy by reducing the observation bias. This work demonstrates that forecasting models can be improved through the assimilation of satellite derived observations. An examination of the assimilation innovations indicated where the forecast accuracy could be further improved.

Tags: Biosphere | Aquatic Habitat | Coastal Habitat, Hydrosphere | Surface Water | Discharge/flow, Oceans | Bathymetry | Seafloor Topography, Oceans | Ocean Circulation | Ocean Currents, Oceans | Ocean Circulation | Ocean Mixed Layer, Oceans | Ocean Temperature | Potential Temperature, Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Ocean Temperature | Water Temperature, Oceans | Salinity/density | Salinity, Oceans | Tides | Tidal Currents, Port Phillip Bay
Organization: Australian Ocean Data Network
RAN CTD Profile Data - HMAS LEEUWIN ProjectID: HI532(B)LEE_M From: 2013-04-11 To: 2013-06-07

This dataset contains quality controlled vertical profiles of pressure, temperature and salinity measured by a Conductivity, Temperature and Depth (CTD) probe. The dataset contains 588 CTD profiles (casts) obtained during RAN Hydrographic Survey cruise HI532(B)LEE_M from HMAS LEEUWIN.
The CTD was manufactured by Applied Microsystems Limited and is the "Micro CTD" model. This CTD type is referred to operationally as the MVP200_CTD. This CTD is fitted with a 4 electrode platinized conductivity cell, thermistor temperature sensor and a semiconductor strain gauge pressure sensor.
The CTD sensors are calibrated at the manufacturer Applied Microsystems Limited on a 12-18 month schedule. The CTD temperature sensor is calibrated against 'Hart' temperature standards. The pressure sensor is calibrated using 'Budenburg Deadweight' standards. The conductivity sensor is calibrated using 'Hart' temperature standards and seawater samples of known conductivity.
The CTD sensors are mounted to a fish-shape probe. The probe is controlled by an electric winch (MVP200 type). For downcasts the fish is allowed to free-fall (winch is in 'free-wheel' mode) under its own weight at about 2-3 ms-1 and then is winched back. Data is recorded in downcast and usually in upcast direction at a sampling rate of 25 Hz. The downcast data is of higher quality because sensors encounter undisturbed seawater that flows through the nose of the fish. On the upcast the fish is flipped around (tail first) and the sensors in the nose encounter disturbed flow from the fish tail.
This type of CTD is prone to a phenomenon called 'salinity spiking' caused by a mismatch between the response times of the temperature and conductivity sensor. Data undergoes a salinity de-spiking routine to correct for this. See the history metadata for further details on the salinity de-spiking process.
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. 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
Fast Repetition Rate Fluorometry (FRRF) data collected on the RV L'Astrolabe from 04/11/2005 to 08/11/2005 (Dumont d'Urville - Hobart)

These data were collected on the RV L'Astrolabe (platform code: FHZI) from 04/11/2005 to 08/11/2005 on a trip from Dumont D'Urville to Hobart.
Maximum photochemical efficiency of photosystem II (PSII), also called maximum quantum yield of PSII (Fv/Fm), has become one of the most widely utilized fluorescence parameters in phytoplankton research. It represents the potential photochemical efficiency, which is the probability that the light energy captured by the photosynthetic apparatus is being utilized as photochemistry. Fv/Fm has been shown to have an instant response to variations in physical and chemical properties and is interpreted as a diagnostic of the overall health or competence of phytoplankton. Together with the absorption cross section area of PSII and chlorophyll concentration, it can be used to measure primary production (Cheah et al. 2011, Deep Sea Research).
Seawater from 3 m depth was supplied continuously from the ship’s clean seawater line. FRR fluorescence yields were measured continuously at 1 minute intervals in dark-adapted state (! 15 minutes dark-adaptation) using a flash sequence consisting of a series of 100 subsaturation flashlets (1.1 μs flash duration and 2.8 μs interflash period) and a series of 20 relaxation flashlets (1.1 μs flash duration and 51.6 μs interflash period).

Tags: Continents | Antarctica, Countries | Australia, Fast Repetition Rate Fluorometer (FRRF), Global/Oceans | Southern Ocean, Instrument's photomultiplier electronic sensitivity (1-256), Latitude, Longitude, Maximum quantum yield (Fv/Fm), Minimum fluorescence in the light chamber of the FRRF (also used as a proxy for biomass), Oceans | Ocean Temperature | Sea Surface Temperature, Oceans | Salinity/density | Salinity, Photosynthesis, connectivity between PSII reaction centres under actinic light, functional absorption cross section of PSII (measure of the proportion of light harvested for photoc, maximum fluorescence in the light chamber of the FRRF, maximum quantum yield of photosystem II ( (FmL - FoL) / FmL), primary production, time constant of electron transport from PSII to PSI, variable fluorescence (FmL - FoL)
Organization: Australian Ocean Data Network
Wind statistics at Governor Head Meteorological Station, Jervis Bay over a one year period (Nov 1989 - Oct 1990)

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 a 1 year period between November 1989 and October 1990 inclusive. Individual measurements have been converted so that the yearly trend of wind speed and direction can be seen. The station initially recorded wind data at 15 minute intervals throughout the duration of the experiment.
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
Coastalwatch: Coastal Condition Monitoring System - Iluka, NSW

Since its launch in 1998, Coastalwatch has become Australia's most popular water sports website, and is consistently ranked in the top eight sporting websites. The site displays live vision from over 90 coastal locations around Australia and overseas. It also provides daily surf reports, swell forecasting, weather information and news; as well as video, photographic and editorial content. 
Coastalwatch has also developed a Coastal Conditions Monitoring System, which utilises the camera network to make a significant contribution to safer coastal use and more efficient and cost effective coastal management.  To this end, Coastalwatch has partnered with Surf Life Saving Australia and Surfing Australia; and supports Volunteer Rescue organisations, community groups, and charities such as SurfAid International and the Surfrider Foundation Australia.  
Coastalwatch is committed to bringing the coast to all Australians and overseas visitors, and becoming the premier reference site for all coastal user groups. With this in mind, Coastalwatch is dedicated to assisting with sound coastal zone research and management through the use of all its resources.

Tags: Oceans | Coastal Processes | Beaches, Oceans | Coastal Processes | Erosion, Oceans | Coastal Processes | Intertidal Zone, Oceans | Coastal Processes | Longshore Currents, Oceans | Coastal Processes | Shoreline Displacement, Oceans | Coastal Processes | Shorelines, Oceans | Coastal Processes | Tidal Height, Oceans | Ocean Waves | Wave Frequency, Oceans | Ocean Waves | Wave Height
Organization: Australian Ocean Data Network