100+ datasets found
  1. Data from: The national database for marine data (MADS)

    • gbif.org
    Updated Feb 20, 2020
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    Isabel Calabuig; Isabel Calabuig (2020). The national database for marine data (MADS) [Dataset]. http://doi.org/10.15468/omm3rn
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    Dataset updated
    Feb 20, 2020
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Danish Centre for Environment and Energy, Aarhus University
    Authors
    Isabel Calabuig; Isabel Calabuig
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1758 - Oct 25, 2007
    Area covered
    Description

    Description currently unavailable.

  2. Bio-ORACLE 2.1 - Marine data layers for ecological modelling

    • solomonislands-data.sprep.org
    • samoa-data.sprep.org
    • +13more
    tif, tiff
    Updated Jul 16, 2025
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    Secretariat of the Pacific Regional Environment Programme (2025). Bio-ORACLE 2.1 - Marine data layers for ecological modelling [Dataset]. https://solomonislands-data.sprep.org/dataset/bio-oracle-21-marine-data-layers-ecological-modelling
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    tiff, tif(46825611), tif(27714760), tif(28885717)Available download formats
    Dataset updated
    Jul 16, 2025
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    195.62255859375 84.770528320759, 195.62255859375 -85.754219509892)), -171.40869140625 84.770528320759, POLYGON ((-171.40869140625 -85.754219509892, Worldwide
    Description

    Bio-ORACLE is a set of GIS rasters providing geophysical, biotic and environmental data for surface and benthic marine realms. The data are available for global-scale applications at a spatial resolution of 5 arcmin (approximately 9.2 km at the equator).

    Linking biodiversity occurrence data to the physical and biotic environment provides a framework to formulate hypotheses about the ecological processes governing spatial and temporal patterns in biodiversity, which can be useful for marine ecosystem management and conservation.

    Bio-ORACLE offers a user-friendly solution to accomplish this task by providing 18 global geophysical, biotic and climate layers at a common spatial resolution (5 arcmin) and a uniform landmask.

    The data available in Bio-ORACLE are documented in two peer reviewed articles that you should cite: Tyberghein L, Verbruggen H, Pauly K, Troupin C, Mineur F, De Clerck O (2012) Bio-ORACLE: A global environmental dataset for marine species distribution modelling. Global Ecology and Biogeography, 21, 272–281. Assis, J., Tyberghein, L., Bosh, S., Verbruggen, H., Serrão, E. A., & De Clerck, O. (2017). Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling. Global Ecology and Biogeography.

  3. Marine data from Natural Resources Wales (NRW) Technical Support (Research &...

    • obis.org
    • erddap.eurobis.org
    • +4more
    zip
    Updated Jun 11, 2025
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    Natural Resources Wales (2025). Marine data from Natural Resources Wales (NRW) Technical Support (Research & Monitoring) Contracts, Wales [Dataset]. http://doi.org/10.15468/az7nw3
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    zipAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Natural Resources Waleshttp://naturalresources.wales/
    The Marine Biological Association of the United Kingdom
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1902 - 2019
    Area covered
    Wales
    Description

    This dataset is comprised of marine benthic surveys created by Natural Resources Wales' (and previously the Countryside Council for Wales') technical support (research and monitoring) contracts since 1993. The surveys focus on benthic habitats (often referred to as 'biotopes') in intertidal, inshore (typically within 3nm) and subtidal areas. These surveys include the capture of many species records. Only the species records are available on the NBN Gateway. Some of the surveys were originally stored in the MNCR (Marine Nature Conservation Review) database created by JNCC but then transfered to CCW. (However, none were carried out as part of JNCC's MNCR officical survey programme). Original copies of all the surveys are now held in NRW's Marine Recorder database.

  4. o

    SINBIOTA Marine Data

    • obis.org
    • compendiumkustenzee.be
    • +1more
    zip
    Updated Jul 2, 2021
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    (2021). SINBIOTA Marine Data [Dataset]. http://doi.org/10.25607/kc3p1n
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    zipAvailable download formats
    Dataset updated
    Jul 2, 2021
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1995 - 2003
    Description

    SinBiota, the environmental information system for the program Biota/FAPESP, integrates data collected by researchers carrying out surveys within the State of São Paulo with a digital cartographic base, thus providing a mechanism for free and open dissemination of data and information about the State’s biodiversity to all interested.

  5. Marine Data from The Wildlife Trusts (TWT) Dive Team; 2014-2018

    • gbif.org
    • demo.gbif.org
    Updated May 15, 2025
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    The Wildlife Trusts (2025). Marine Data from The Wildlife Trusts (TWT) Dive Team; 2014-2018 [Dataset]. http://doi.org/10.15468/aqr7zv
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    Dataset updated
    May 15, 2025
    Dataset provided by
    The Wildlife Trustshttps://www.wildlifetrusts.org/
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Aug 6, 2014 - May 25, 2018
    Area covered
    Description

    This dataset consists of habitat and species records made by The Wildlife Trusts Dive Team (professional divers and marine biologists) on dive surveys between 2014 and 2018.

  6. v

    Marine Nature Conservation Review (MNCR) and associated benthic marine data...

    • vliz.be
    • obis.org
    • +1more
    Updated May 21, 2022
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    Natural Resources Wales (2022). Marine Nature Conservation Review (MNCR) and associated benthic marine data held and managed by CCW [Dataset]. https://vliz.be/en/search-institutes?module=dataset&dasid=657
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    Dataset updated
    May 21, 2022
    Dataset authored and provided by
    Natural Resources Wales
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset includes the survey data that were commissioned and collected by Countryside Council for Wales.

  7. Marine Data Sharing Companion Package

    • zenodo.org
    pdf
    Updated Jul 16, 2024
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    Keila Lima; Keila Lima; Ngoc-Thanh Nguyen; Rogardt Heldal; Eric Knauss; Eric Knauss; Patrizio Pelliccione; Tosin Daniel Oyetoyan; Lars Michael Kristensen; Ngoc-Thanh Nguyen; Rogardt Heldal; Patrizio Pelliccione; Tosin Daniel Oyetoyan; Lars Michael Kristensen (2024). Marine Data Sharing Companion Package [Dataset]. http://doi.org/10.5281/zenodo.6901964
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    pdfAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Keila Lima; Keila Lima; Ngoc-Thanh Nguyen; Rogardt Heldal; Eric Knauss; Eric Knauss; Patrizio Pelliccione; Tosin Daniel Oyetoyan; Lars Michael Kristensen; Ngoc-Thanh Nguyen; Rogardt Heldal; Patrizio Pelliccione; Tosin Daniel Oyetoyan; Lars Michael Kristensen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Collection of data from marine data sharing study conducted between January 2022 and June 2022.

    Contents:

    • Focus group interview guide
    • Workshop summary of contents
    • Coding categories and subcategories of transcriptions
    • Sample of quotes from participants and their related subcategories

    For confidentiality reasons, only summaries and excerpts of the data collected are presented in this package. This content can be used to back up our findings and results w.r.t. marine data sharing, working as a support to the chain of evidence of the findings.

  8. i

    ICES Data portal

    • gis.ices.dk
    Updated Apr 17, 2013
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    ICES (2013). ICES Data portal [Dataset]. https://gis.ices.dk/geonetwork/geonetwork/api/records/56226b6c-4818-404d-827e-9bf45d08eedf
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Apr 17, 2013
    Dataset authored and provided by
    ICES
    Area covered
    Earth
    Description

    All the marine datasets managed by ICES

  9. u

    OldWeather3 Marine Data for ICOADS Input

    • data.ucar.edu
    • search.rda.ucar.edu
    • +1more
    ascii
    Updated Aug 4, 2024
    + more versions
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    Allan, Rob; Brohan, Philip; Compo, Gilbert P.; McColl, Chesley; Spencer, Lawrence; Wood, Kevin (2024). OldWeather3 Marine Data for ICOADS Input [Dataset]. http://doi.org/10.5065/Q54H-3R61
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    asciiAvailable download formats
    Dataset updated
    Aug 4, 2024
    Dataset provided by
    Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory
    Authors
    Allan, Rob; Brohan, Philip; Compo, Gilbert P.; McColl, Chesley; Spencer, Lawrence; Wood, Kevin
    Time period covered
    1866 - 1946
    Description

    This dataset contains marine observations collected from the OldWeather.org [https://www.oldweather.org/] citizen science project, and is contributed by L. Spencer et al. This is a supplemental dataset to RDA Dataset ds539.5 - ICOADS Input Data Sources [https://rda.ucar.edu/datasets/ds539.5/] that contains auxiliary, preliminary, and other datasets that are in preparation to be included in a future ICOADS release. The records in this dataset have been included as input to the 20th Century Reanalysis version 3.

  10. e

    LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015 - Dataset -...

    • b2find.eudat.eu
    Updated Jul 23, 2025
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    (2025). LTER Northern Adriatic Sea (Italy) marine data from 1965 to 2015 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/3d7e69a4-453b-5611-82f9-2366c2f190b7
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    Dataset updated
    Jul 23, 2025
    Area covered
    Adriatic Sea, Italy
    Description

    The present database contains observations for 21 parameters of abiotic, phyto and zooplankton data collected in the Northern Adriatic Sea region (Italy). It relies on a Comma Separated Values file and it is composed by 108685 records. Due to its long temporal coverage, it is classifiable as Long Term Ecological data. Due to the long temporal coverage, the great part of parameters changed collection and analysis method in time. These variations are reported in the database. A long term database can be useful for multiple purposes. This database has been released under a research project focused on Open Science principles application to marine ecology.

  11. a

    Geoscience Australia Marine Data

    • hub.arcgis.com
    Updated Apr 2, 2019
    + more versions
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    National Institute of Water and Atmospheric Research (2019). Geoscience Australia Marine Data [Dataset]. https://hub.arcgis.com/maps/efa92177c702485d9900ba2ec350d93a
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    Dataset updated
    Apr 2, 2019
    Dataset authored and provided by
    National Institute of Water and Atmospheric Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This web service contains marine geospatial data held by Geoscience Australia. It includes bathymetry and backscatter gridded data plus derived layers, bathymetry coverage information, bathmetry collection priority and planning areas, marine sediment data and other derived products. It also contains the 150 m and optimal resolution bathymetry, 5 m sidescan sonar (SSS) and synthetic aperture sonar (SAS) data collected during phase 1 and 2 marine surveys conducted by the Governments of Australia, Malaysia and the People's Republic of China for the search of Malaysian Airlines Flight MH370 in the Indian Ocean. This web service allows exploration of the seafloor topography through the compilation of multibeam sonar and other marine datasets acquired._Item Page Created: 2019-04-02 23:38 Item Page Last Modified: 2025-04-05 16:16Owner: steinmetzt_NIWA

  12. Data from: MEOP-CTD in-situ data collection: a Southern ocean Marine-mammals...

    • seanoe.org
    • sextant.ifremer.fr
    • +1more
    nc
    Updated Feb 2024
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    Fabien Roquet; Christophe Guinet; Jean-Benoit Charrassin; Daniel p. Costa; Kit m Kovacs; Christian Lydersen; Horst Bornemann; Marthan n. Bester; Monica c. Muelbert; Mark a. Hindell; Clive r. McMahon; Rob Harcourt; Lars Boehme; Mike a. Fedak; Vincent Doriot; Baptiste Picard (2024). MEOP-CTD in-situ data collection: a Southern ocean Marine-mammals calibrated sea water temperatures and salinities observations [Dataset]. http://doi.org/10.17882/45461
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    ncAvailable download formats
    Dataset updated
    Feb 2024
    Dataset provided by
    SEANOE
    Authors
    Fabien Roquet; Christophe Guinet; Jean-Benoit Charrassin; Daniel p. Costa; Kit m Kovacs; Christian Lydersen; Horst Bornemann; Marthan n. Bester; Monica c. Muelbert; Mark a. Hindell; Clive r. McMahon; Rob Harcourt; Lars Boehme; Mike a. Fedak; Vincent Doriot; Baptiste Picard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Southern Ocean,
    Description

    the southern ocean plays a fundamental role in regulating the global climate. this ocean also contains a rich and highly productive ecosystem, potentially vulnerable to climate change. very large national and international efforts are directed towards the modeling of physical oceanographic processes to predict the response of the southern ocean to global climate change and the role played by the large-scale ocean climate processes. however, these modeling efforts are greatly limited by the lack of in situ measurements, especially at high latitudes and during winter months. the standard data that are needed to study ocean circulation are vertical profiles of temperature and salinity, from which we can deduce the density of seawater. these are collected with ctd (conductivity-temperature-depth) sensors that are usually deployed on research vessels or, more recently, on autonomous argo profilers. the use of conventional research vessels to collect these data is very expensive, and does not guarantee access to areas where sea ice is found at the surface of the ocean during the winter months. a recent alternative is the use of autonomous argo floats. however, this technology is not easy to use in glaciated areas.in this context, the collection of hydrographic profiles from ctds mounted on marine mammals is very advantageous. the choice of species, gender or age can be done to selectively obtain data in particularly under-sampled areas such as under the sea ice or on continental shelves. among marine mammals, elephant seals are particularly interesting. indeed, they have the particularity to continuously dive to great depths (590 ± 200 m, with maxima around 2000 m) for long durations (average length of a dive 25 ± 15 min, maximum 80 min). a conductivity-temperature-depth satellite relay data logger (ctd-srdls) has been developed in the early 2000s to sample temperature and salinity vertical profiles during marine mammal dives (boehme et al. 2009, fedak 2013). the ctd-srdl is attached to the seal on land, then it records hydrographic profiles during its foraging trips, sending the data by satellite argos whenever the seal goes back to the surface.while the principle intent of seal instrumentation was to improve understanding of seal foraging strategies (biuw et al., 2007), it has also provided as a by-product a viable and cost-effective method of sampling hydrographic properties in many regions of the southern ocean (charrassin et al., 2008; roquet et al., 2013).

  13. o

    Data from: ISAS-SSS: In situ Sea Surface Salinity gridded fields

    • explore.openaire.eu
    • seanoe.org
    • +1more
    Updated Jan 1, 2018
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    Nicolas Kolodziejczyk; Annaig Prigent-Mazella; Fabienne Gaillard (2018). ISAS-SSS: In situ Sea Surface Salinity gridded fields [Dataset]. http://doi.org/10.17882/55600
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    Dataset updated
    Jan 1, 2018
    Authors
    Nicolas Kolodziejczyk; Annaig Prigent-Mazella; Fabienne Gaillard
    Description

    A new version of the ISAS product is available at : https://doi.org/10.17882/52367 The In Situ Analysis System (ISAS) was developed to produce gridded fields of temperature and salinity that preserve as much as possible the time and space sampling capabilities of the Argo network of profiling floats. The ISAS-SSS configuration provide Sea Surface Salinity gridded fields from in-situ measurements including Argo, Moorings, Marine Mammals, GOSUD Thermosalinometer SSS measurements from delayed mode SNO-SSS merchant ships (http://www.legos.obs-mip.fr/observations/sss), French research vessels (http://doi.org/10.17882/39475) and sails (http://doi.org/10.17882/39476). A careful delayed mode processing of the 2002-2015 dataset has been carried out using version 7 of ISAS and updating the statistics to produce the ISAS-15 analysis. The ISAS-SSS fields appears as highly valuable for the "calibration and validation" of the new satellite observations delivered by SMOS, Aquarius and SMAP.

  14. M

    Global Marine Data Buoy Market Forecast and Trend Analysis 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jul 2025
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    Stats N Data (2025). Global Marine Data Buoy Market Forecast and Trend Analysis 2025-2032 [Dataset]. https://www.statsndata.org/report/marine-data-buoy-market-238820
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    pdf, excelAvailable download formats
    Dataset updated
    Jul 2025
    Dataset authored and provided by
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Marine Data Buoy market plays a crucial role in collecting and transmitting real-time oceanographic data, essential for various industries such as marine research, meteorology, oil and gas exploration, and environmental monitoring. These floating devices are equipped with advanced sensors and satellite communica

  15. g

    Ocean Biogeographic Information System (OBIS-USA) Marine Data

    • gimi9.com
    • researchdata.edu.au
    Updated Jul 1, 2025
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    (2025). Ocean Biogeographic Information System (OBIS-USA) Marine Data [Dataset]. https://gimi9.com/dataset/au_ocean-biogeographic-information-system-obis-usa-marine-data/
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    Dataset updated
    Jul 1, 2025
    Area covered
    United States
    Description

    Ocean Biogeographic Information System USA (OBIS-USA) aims to include all available marine data from USA sources (programs, institutions, and people), all available data about marine species in USA waters, which include portions of the Arctic, Atlantic, and Pacific Oceans, the Caribbean Sea, and the Gulf of Mexico, and data of special interest to USA researchers, for example from polar expeditions and other remote areas. The NBII OBIS-USA portal brings data together for USA waters and research programs, ensuring consistency, quality, and usability in the region. To search this extensive USA marine database click on the link below.

  16. Gifford Marine Park Bathymetry - 30m Resolution Grid

    • ecat.ga.gov.au
    • researchdata.edu.au
    Updated Apr 9, 2019
    + more versions
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    Commonwealth of Australia (Geoscience Australia) (2019). Gifford Marine Park Bathymetry - 30m Resolution Grid [Dataset]. https://ecat.ga.gov.au/geonetwork/srv/api/records/b941d108-5e80-41a4-aa86-4ec5e33ef994
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    www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Apr 9, 2019
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Time period covered
    Jun 1, 2018
    Area covered
    Description

    Australia has established a network of 58 marine parks within Commonwealth waters covering a total of 3.3 million square kilometres, or 40 per cent of our exclusive economic zone (excluding Australian Antarctic Territory). These parks span a range of settings, from near coastal and shelf habitats to abyssal plains. Parks Australia manages the park network through management plans that came into effect for all parks on 1 July 2018. Geoscience Australia is contributing to their management by collating and interpreting existing environmental data, and through the collection of new marine data. “Eco-narrative” documents are being developed for those parks, where sufficient information is available, delivering collations and interpretations of seafloor geomorphology, oceanography and ecology. Many of these interpretations rely on bathymetric grids and their derived products, including those in this data release.

    Bathymetry grids

    The bathymetry of the marine parks was created by compiling and processing Geoscience Australia’s bathymetry data holding gridded at the optimum resolution depending of the vessel’s sonar system.

    The bathymetry of the park is illustrated by a panchromatic geotiff image, developed by combining the bathymetric data with a hillshade image.

    Morphological Surfaces

    Geoscience Australia has developed a new marine seafloor classification scheme, which uses the two-part seafloor mapping morphology approach of Dove et al (2016). This new scheme is semi-hierarchical and the first step divides the slope of the seafloor into three Morphological Surface categories (Plain, <2°; Slope, 2-10°; Escarpment, >10°).

    Dove, D., Bradwell, T., Carter, G., Cotterill, C., Gafeira, J., Green, S., Krabbendam, M., Mellet, C., Stevenson, A., Stewart, H., Westhead, K., Scott, G., Guinan, J., Judge, M. Monteys, X., Elvenes, S., Baeten, N., Dolan, M., Thorsnes, T., Bjarnadóttir, L., Ottesen, D. (2016). Seabed geomorphology: a twopart classification system. British Geological Survey, Open Report OR/16/001. 13 pages.

    This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

    This dataset is not to be used for navigational purposes.

  17. Marine Nature Conservation Review (MNCR) and associated benthic marine data...

    • gbif.org
    • marbef.org
    • +2more
    Updated May 15, 2025
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    Joint Nature Conservation Committee (2025). Marine Nature Conservation Review (MNCR) and associated benthic marine data held and managed by JNCC [Dataset]. http://doi.org/10.15468/kcx3ca
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    Dataset updated
    May 15, 2025
    Dataset provided by
    Joint Nature Conservation Committee
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 1954 - Jul 4, 2000
    Area covered
    Description

    This dataset includes the survey data that were collected during the Marine Nature Conservation Review (MNCR) between 1987 and 1998, together with data from surveys commissioned by the Nature Conservancy Council in the 1970s and 1980s and data collected subsequently by JNCC. The MNCR was initiated to provide a comprehensive baseline of information on marine habitats and their associated species around the coast of Britain which would aid coastal zone and sea-use management and to contribute to the identification of areas of marine natural heritage importance. The focus of MNCR work was on benthic habitats (often referred to as 'biotopes') in intertidal and inshore (typically within 3nm) subtidal areas.

  18. m

    Nephrops (Nephrops norvegicus) Underwater TV Surveys Ireland, 2002 - Present...

    • data.marine.ie
    • datasalsa.com
    Updated Jan 29, 2025
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    Marine Institute (2025). Nephrops (Nephrops norvegicus) Underwater TV Surveys Ireland, 2002 - Present [Dataset]. https://data.marine.ie/geonetwork/srv/api/records/ie.marine.data:dataset.4433
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    www:download-1.0-http--download, www:link-1.0-http--linkAvailable download formats
    Dataset updated
    Jan 29, 2025
    Dataset authored and provided by
    Marine Institute
    Time period covered
    Aug 1, 2002 - Present
    Area covered
    Description

    Nephrops norvegicus is a lobster also known as the Norway lobster, Dublin Bay prawn, langoustine or scampi. Nephrops are one of the most valuable demersal fisheries in Europe. They are common around the Irish coast, occurring in geographically distinct sandy or muddy areas where the sediment is suitable for construction of their burrow dwellings.

    The Marine Institute conducts Underwater TV (UWTV) surveys annually of commercially important Norway lobster (Nephrops norvegicus) grounds following ICES Survey protocols( https://doi.org/10.17895/ices.pub.8014) . Nephrops grounds are managed and assessed across Europe as individual stocks as Functional Units (FUs). This survey dataset provides quality assured estimates of Nephrops burrow densities over the known spatial and bathymetric distribution grounds within FUs: 16,17,19, 22 and 20-21. This dataset covers the period of 2002 and is ongoing.

    Functional Units: FU 16: Porcupine Bank Nephrops grounds. Survey series commenced in 2012. 100% of the survey grid was covered in all years except in 2012, where sixty-nine percent of the grid was covered (47 stations), and in 2015, no survey data are available due to research vessel breakdown. Survey design is a randomised isometric grid of UWTV stations at six nautical mile spacing. Water depth ranges from 290 to 585 metres.

    FU 17: Aran, Galway Bay and Slyne Head Nephrops grounds. Survey series commenced in 2002. Survey 100% of the survey grid was covered in all years except in 2003 and 2008, no survey data for Slyne Head, and in 2022, no survey data for Aran and Slyne Head grounds, all due to logistical problems. Survey design is a randomised isometric grid of UWTV stations at 4.5 nautical mile spacing on the Aran grounds and random stratified for Galway Bay and Slyne Head grounds. Water depth ranges from 21 to 125 metres.

    FU19: In 2006, 6 stations only were completed as an exploratory survey. The 2006 is provided in this dataset. There was no survey was carried out in years 2007 to 2010 due to time constraints. Survey design is a random stratified for the discrete Nephropsgrounds in this FU. Water depth ranges from 27 to 149 metres.

    FU20-21: Labadie, Jones and Cockburn Banks Nephrops grounds. Survey series commenced in 2013. One hundred percent of the survey grid was covered in all years except in 2013, where 56% of the grid was covered (55 stations) and 2024 where 90 percent of the grid was covered (84 stations), all due to logistical problems. Survey design is a randomised isometric grid of UWTV stations at 6 nautical mile spacing. Water depth ranges from 73 to 149 metres.

    FU22:The “Smalls” Nephrops grounds. Survey series commenced in 2006. Survey 100% of the survey grid was covered in all years except in 2015, where 83 percent of the grid was covered (33 stations). Survey design is a randomised isometric grid of UWTV stations at 4.5 nautical mile spacing. Water depth ranges from 74 to 145 metres.

    Dataset fields are Nephrops Functional Unit Number; Survey Code; Year; UWTV station number; Date-Start of UWTV track; Time_Start of UWTV track; Date-End of UWTV track; Time_End of UWTV track; Decimalised longitude and latitude midpoint of the UWTV station track; Adjusted density (Nephrops burrows/m²) ;Length in metres of the UWTV station track; Field of View of camera system in metres; Total Nephrops burrow count; Nephrops Fishing Ground Name; Source of positional data to calculate UWTV station track (USBL sled GPS, SHIP GPS, Layback, estimated GPS); Camera system used (SD = standard analogue system, HD = high definition system); Data Status (Final for analysis); Research Vessel Name; Correction Factor (Density / Correction Factor = Adjusted Density) and Water Depth (metres).

    Suggested Citation: Marine Institute. (2025) Nephrops (Nephrops norvegicus) Underwater TV Surveys, Marine Institute Ireland, 2002 - Present . Marine Institute, Ireland. doi:10/n4dj.

  19. d

    NODC Standard Product: Atlas of Surface Marine Data 1994 (9 disc set) (NCEI...

    • catalog.data.gov
    • data.wu.ac.at
    Updated Aug 1, 2025
    + more versions
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    (Point of Contact) (2025). NODC Standard Product: Atlas of Surface Marine Data 1994 (9 disc set) (NCEI Accession 0101474) [Dataset]. https://catalog.data.gov/dataset/nodc-standard-product-atlas-of-surface-marine-data-1994-9-disc-set-ncei-accession-0101474
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    Dataset updated
    Aug 1, 2025
    Dataset provided by
    (Point of Contact)
    Description

    A set of 9 CD-ROMs were produced to accompany the analog publication Atlas of Surface Marine Data, 1994. Each CD-ROM contains monthly mean objectively analyzed climatologies and monthly mean anomalies covering the period 1945-1989. In addition, a number of observations, standard deviation, and interannual standard deviation files are included. Data is stored in binary files using Unidata's Network Common Data Format (NetCDF). Free software and subroutines to read the data and testing programs are included on the CD-ROM discs.

  20. p

    Ireland's Marine Atlas - Access to Ireland’s marine data and related...

    • pigma.org
    Updated Jun 15, 2017
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    (2017). Ireland's Marine Atlas - Access to Ireland’s marine data and related information [Dataset]. https://www.pigma.org/geonetwork/srv/search?orgName=Marine%20Institute
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    Dataset updated
    Jun 15, 2017
    Description

    Ireland’s Marine Atlas is developed and maintained by the Marine Institute with funding by the Government of Ireland. This work is part supported by the Irish Government and the European Maritime & Fisheries Fund as part of the EMFF Operational Programme for 2014-2020. The atlas provides a one-stop-shop to view and download marine environmental data relevant to reporting under Ireland’s Marine Strategy Framework Directive (MSFD). The aim of the European Union’s MSFD directive is to protect more effectively the marine environment across Europe through the establishment of “good marine waters”. Data in Ireland’s Marine Atlas has been guided by the European Directive on harmonising environmental data across Europe within a spatial data infrastructure known as INSPIRE. INSPIRE Data Specifications (Data Models) have been used to manage data to the categories visible under THEMES in the atlas. Many of the layers displayed in the Atlas are also used in the National Marine Planning Framework (NMPF). This framework aims to bring together all marine-based human activities, outlining the government’s vision, objectives and marine planning policies for each marine activity. The NMPF report details how these marine activities will interact with each other in an ocean space that is under increasing spatial pressure, ensuring the sustainable use of our marine resources to 2040. Please read the following information carefully as it sets out the terms and conditions that govern the use of products and services on this website. Once you have read these terms and conditions click the "Agree" button at the bottom of the page to proceed. By clicking the "Agree" button you will be deemed to have accepted the terms and conditions, our legal notices and privacy statement.

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Isabel Calabuig; Isabel Calabuig (2020). The national database for marine data (MADS) [Dataset]. http://doi.org/10.15468/omm3rn
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Data from: The national database for marine data (MADS)

Related Article
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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Feb 20, 2020
Dataset provided by
Global Biodiversity Information Facilityhttps://www.gbif.org/
Danish Centre for Environment and Energy, Aarhus University
Authors
Isabel Calabuig; Isabel Calabuig
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1758 - Oct 25, 2007
Area covered
Description

Description currently unavailable.

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