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  • 1
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    Sebastes fasciatus abundance and associated seabed environmental conditions in a Vazella pourtalesii sponge ground in the Sambro Bank (Scotian Shelf) (2023)
    PANGAEA
    Details
    Publication Date: 2023-10-24
    Description: The genus Sebastes is a morphologically and ecologically diverse genus of rockfish characterized by high longevity, late-maturity, and low natural mortality. On the northwest Atlantic continental shelf, the Acadian redfish (Sebastes fasciatus) is the most common rockfish species above 300 m depth. This species has been widely exploited resulting in the depletion or collapse of most of its stocks. Management of long-lived species with intricate life-history characteristics is challenging and requires highly integrated biological and oceanographic monitoring, which allow the identification of environmental drivers and demographic and behavioural trends. The present study uses high temporal resolution imaging and environmental data, acquired with an autonomous lander deployed for 10-months at the Sambro Bank Sponge Conservation Area (Scotian Shelf) to elucidate S. fasciatus temporal dynamics and behavioural trends in response to near-bed environmental conditions. S. fasciatus, mostly displayed passive locomotion and static behaviours, in common with other shelf-dwelling Sebastes species. Hydrodynamics appear to act as a synchronizing factor conditioning its swimming behaviour. S. fasciatus total counts exhibited a seasonal shift in rhythm's phase likely reflecting changes in lifestyle requirements.
    Keywords: behavior; benthic lander; Current direction; current velocity; DATE/TIME; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Identification; Lander; Multiparametric video-lander, ALBEX; coupled with CTD sensor, Sea-Bird [SBE37SM-RS232]; Oxygen, dissolved; Oxygen concentration; Salinity; Sambro_Bank; Scotian Shelf; Sebastes fasciatus; Sponge Conservation Areas (SCAs); sponge grounds; SponGES; Temperature; Temperature, water; Velocity; Visual analysis (video)
    Type: Dataset
    Format: text/tab-separated-values, 30712 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Meteorological data from a weather station at Sant Pere de Ribes (Catalonia, Spain) from 2013 to 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-13
    Description: Data from a weather station (Garraf natural park) deployed at the Catalan coast from 2013 to 2014. The station at Garraf natural park provides solar irradiance and rain intensity. Data from the Garraf natural park station has been obtained through the Servei Meteorològic de Catalunya (Catalan Meteorological Service). An automatic quality control check has been applied to the data.
    Keywords: air temperature; Atmospheric; BITER; DATE/TIME; Esfuerzo conjunto entre biología y tecnología para monitorear y recuperar especies y ecosistemas impactados por la pesca: conectividad espacial e indicadores ecológicos; Irradiance, heat, flux density; JERICO-S3; Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability; meteorological data; OBSEA:GARRAF:2013_14; Plataforma de Larga Duración para la Observación de los Ecosistemas Marinos; PLOME; Precipitation; Pyranometer, Skye SKS 1110; quality control; rainfall; SKS1110; Solar irradiance; wind direction; wind speed
    Type: Dataset
    Format: text/tab-separated-values, 44565 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    CTD data acquired at the OBSEA seafloor observatory from 2013 to 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-13
    Description: Data from two CTD sensors (SBE37 and SBE16) deployed at OBSEA seafloor observatory from 2013 to 2014. OBSEA station is located 4km off-the-coast of Vilanova i la Geltrú (Catalonia, Spain) at a depth of 20 meters. Measured variables are sea water temperature, conductivity, pressure, salinity and sound velocity. Data from the CTD sensors has been acquired every 10 seconds, then a quality control procedure has been applied following QARTOD guidelines. Afterwards the quality controlled data has been averaged in periods of 30 minutes (discarding data flagged as bad data). Every data point has an associated a quality control flag and standard deviation value. The quality control flag values are 1: good data, 2: not applied, 3: suspicious data, 4: bad data, 9: missing data. The standard deviation provides a measure of the variability of the data within the 30min time window used in the average.
    Keywords: BITER; Conductivity; Conductivity, standard deviation; CTD; CTD, SEA-BIRD SBE16plus V2 SeaCAT; CTD, SEA-BIRD SBE 37-SMP MicroCAT; DATE/TIME; Esfuerzo conjunto entre biología y tecnología para monitorear y recuperar especies y ecosistemas impactados por la pesca: conectividad espacial e indicadores ecológicos; Event label; JERICO-S3; Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability; Mediterranean; OBSEA:SBE16:2013_14; OBSEA:SBE37:2013_14; oceanographic time series; Plataforma de Larga Duración para la Observación de los Ecosistemas Marinos; PLOME; Pressure, standard deviation; Pressure, water; quality control; Quality flag, conductivity; Quality flag, salinity; Quality flag, sound velocity in water; Quality flag, water pressure; Quality flag, water temperature; Salinity; Salinity, standard deviation; sea water temperatures; Sound Velocity; Sound velocity in water; Sound velocity in water, standard deviation; Temperature, water; Temperature, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 483492 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    Meteorological data from a weather station at Vilanova i la Geltrú (Catalonia, Spain) from 2013 to 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-13
    Description: Data from a weather station (Vilanova i la Geltrú) deployed at the Catalan coast from 2013 to 2014. The station at Vilanova i la Geltrú provides air temperature, wind speed and wind direction. Data from the Vilanova i la Geltrú weather station has been acquired every minute, then a quality control procedure has been applied following QARTOD guidelines. Afterwards the quality controlled data has been averaged in periods of 30 minutes (discarding data flagged as bad data). Every data point has an associated a quality control flag and standard deviation value. The quality control flag values are 1: good data, 2: not applied, 3: suspicious data, 4: bad data, 9: missing data. The standard deviation provides a measure of the variability of the data within the 30min time window used in the average.
    Keywords: air temperature; Atmospheric; BITER; DATE/TIME; Esfuerzo conjunto entre biología y tecnología para monitorear y recuperar especies y ecosistemas impactados por la pesca: conectividad espacial e indicadores ecológicos; Humidity, relative; Humidity, relative, standard deviation; JERICO-S3; Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability; meteorological data; OBSEA:VILANOVA:2013_14; Plataforma de Larga Duración para la Observación de los Ecosistemas Marinos; PLOME; Pressure, atmospheric; Pressure, atmospheric, standard deviation; quality control; Quality flag, air temperature; Quality flag, atmospheric pressure; Quality flag, relative humidity; Quality flag, wind direction; Quality flag, wind speed; rainfall; Solar irradiance; Temperature, air; Temperature, air, standard deviation; Weather Station, Vantage Pro2, Davis; wind direction; Wind direction; wind speed; Wind speed; Wind speed, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 464626 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 5
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    Annotated images capturing fish abundances observed at the OBSEA cabled observatory from 2013 to 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Underwater images and abundances of different fish taxa detected at the OBSEA Cabled Observatory from January 2013 to December 2014. OBSEA station is located 4km off-the-coast of Vilanova i la Geltrú (Catalonia, Spain) at a depth of 20 meters. Two cameras were used (Sony SNC-RZ25N from 2013-01-01 to 2014-12-11 and Axis P1346-E from 2014-12-11 to 2014-12-31). 29 fish taxa have been visually identified and classified according to their taxa name.
    Keywords: Apogonidae; Atherinidae; Biodiversity; BITER; Boops boops; Chromis chromis; Conger conger; Coris julis; DATE/TIME; Dentex dentex; Digital camera, Axis P1346-E; Digital camera, Sony SNC-RZ25N; Diplodus annularis; Diplodus cervinus; Diplodus puntazzo; Diplodus sargus; Diplodus vulgaris; Epinephelus marginatus; Esfuerzo conjunto entre biología y tecnología para monitorear y recuperar especies y ecosistemas impactados por la pesca: conectividad espacial e indicadores ecológicos; Event label; fish abundance; Image; image annotation; JERICO-S3; Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability; Oblada melanura; OBSEA; OBSEA:CAM1:2013_14; OBSEA:CAM2:2013_14; OBSEA underwater observatory site; Pagellus sp.; Pagrus pagrus; Plataforma de Larga Duración para la Observación de los Ecosistemas Marinos; PLOME; Sarpa salpa; Sciaena umbra; Scorpaena sp.; Seriola dumerili; Serranus cabrilla; SonyAxis; SonySNC; Sparus aurata; Spicara maena; Spondyliosoma cantharus; Symphodus cinereus; Symphodus mediterraneus; Symphodus tinca; Thalassoma pavo; Total counts; Trachurus sp.; Unknown
    Type: Dataset
    Format: text/tab-separated-values, 1058720 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Underwater camera photos with manual tagging of fish species at OBSEA seafloor observatory from 2013 to 2014 (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Underwater images and manual tags of different fish taxa detected from the image repository of the OBSEA Cabled Observatory from January 2013 to December 2014. OBSEA station is located 4km off-the-coast of Vilanova i la Geltrú (Catalonia, Spain) at a depth of 20 meters . Tags are rectangles marking the fish position in a picture (region of interest), identified by their x/y vertix values (in pixels).The aim of this dataset is to train Artificial Intelligence (AI) algorithms to automatically detect and or classify fish specimens from underwater pictures.Two cameras were used (Sony SNC-RZ25N from 2013-01-01 to 2014-12-11 and Axis P1346-E from 2014-12-11 to 2014-12-31). 29 fish taxa have been visually identified and classified according to their taxa name. Unclassified fish have been marked as Unknown fish.The fish taxa recognized in the dataset are: Coris julis, Chromis chromis, Diplodus vulgaris, Diplodus sargus, Oblada melanura, Spondyliosoma cantharus, Diplodus cervinus, Diplodus annularis, Spicara maena, Dentex dentex, Diplodus puntazzo, Conger conger, Symphodus mediterraneus, Atherina sp., Scorpaena sp., Pagrus pagrus, Pagellus sp., Serranus cabrilla, Sciaena umbra, Sarpa salpa, Trachurus sp., Sparus aurata, Apogon sp., Seriola dumerili, Thalassoma pavo, Epinephelus marginatus, Boops boops, Symphodus cinereus, Symphodus tinca.
    Keywords: BITER; Bounding box, x1; Bounding box, x2; Bounding box, x3; Bounding box, x4; Bounding box, y1; Bounding box, y2; Bounding box, y3; Bounding box, y4; DATE/TIME; Digital camera, Axis P1346-E; Digital camera, Sony SNC-RZ25N; Esfuerzo conjunto entre biología y tecnología para monitorear y recuperar especies y ecosistemas impactados por la pesca: conectividad espacial e indicadores ecológicos; Event label; fish diversity; fish fauna; Image; JERICO-S3; Joint European Research Infrastructure of Coastal Observatories: Science, Service, Sustainability; Mediterranean; neural networks; OBSEA; OBSEA:CAM1:2013_14; OBSEA:CAM2:2013_14; OBSEA underwater observatory site; Plataforma de Larga Duración para la Observación de los Ecosistemas Marinos; PLOME; SonyAxis; SonySNC; Species; Tagging; underwater photography
    Type: Dataset
    Format: text/tab-separated-values, 699170 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
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    Annotated images capturing fish abundances during the first deployment of the EMSO Generic Instrument Module (EGIM) at the OBSEA cabled observatory from December 2016 to April 2017 (2021)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Here we present fish observation data obtained during the first EGIM deployment at the OBSEA observatory, which led to the development of a methodology for correlating fish activity and biologically relevant oceanographic variables. In addition to salinity, temperature, sound speed, water depth and dissolved oxygen data measured by the EGIM, two underwater digital cameras were deployed to provide ecological observations: a CAM1 camera rotating 360° and five metres apart, and a fixed CAM2 camera pointed at an artificial reef where fish activity is observed. For the analysis, the two close cameras were considered as one. For each image, the total number of fish was counted. All visible individuals were taxonomically classified as detailed as possible, using the latest scientific nomenclature from FISHBase.
    Keywords: Apogonidae; Atherinidae; Biodiversity; Boops boops; Chromis chromis; Comment; Conger conger; Coris julis; Ctenolabrus rupestris; DATE/TIME; Dentex dentex; Digital camera; Diplodus annularis; Diplodus cervinus; Diplodus puntazzo; Diplodus sargus; Diplodus vulgaris; EGIM; EGIM_1:OBSEA:2016-12-01; EMSO; EMSODEV; EMSO Generic Instrument Module; EMSO implementation and operation: DEVelopment of instrument module; EMSO-Link; Epinephelus marginatus; European Multidisciplinary Seafloor Observation; fish abundance; Gobius vittatus; Image; image annotation; Implementation of the Strategy to Ensure the EMSO ERICs Long-term Sustainability; Labridae; Mola mola; Mugilidae; Mullus surmuletus; Muraena helena; Oblada melanura; OBSEA; OBSEA_EGIM_2017; OBSEA cabled observatory; OBSEA underwater observatory site; Pagellus sp.; Pagrus pagrus; Sarpa salpa; Sciaena umbra; Scorpaena sp.; Seriola dumerili; Serranus cabrilla; Sparus aurata; Sphyraena viridensis; Spicara maena; Spondyliosoma cantharus; Symphodus cinereus; Symphodus doderleini; Symphodus mediterraneus; Symphodus melanocercus; Symphodus ocellatus; Symphodus tinca; Thalassoma pavo; Total counts; Trachurus sp.; Unknown
    Type: Dataset
    Format: text/tab-separated-values, 51618 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
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    Developing technological synergies between deep-sea and space research (2022)
    University of California Press | BioOne
    Details
    Publication Date: 2024-04-18
    Description: Recent advances in robotic design, autonomy and sensor integration create solutions for the exploration of deep-sea environments, transferable to the oceans of icy moons. Marine platforms do not yet have the mission autonomy capacity of their space counterparts (e.g., the state of the art Mars Perseverance rover mission), although different levels of autonomous navigation and mapping, as well as sampling, are an extant capability. In this setting their increasingly biomimicked designs may allow access to complex environmental scenarios, with novel, highly-integrated life-detecting, oceanographic and geochemical sensor packages. Here, we lay an outlook for the upcoming advances in deep-sea robotics through synergies with space technologies within three major research areas: biomimetic structure and propulsion (including power storage and generation), artificial intelligence and cooperative networks, and life-detecting instrument design. New morphological and material designs, with miniaturized and more diffuse sensor packages, will advance robotic sensing systems. Artificial intelligence algorithms controlling navigation and communications will allow the further development of the behavioral biomimicking by cooperating networks. Solutions will have to be tested within infrastructural networks of cabled observatories, neutrino telescopes, and off-shore industry sites with agendas and modalities that are beyond the scope of our work, but could draw inspiration on the proposed examples for the operational combination of fixed and mobile platforms.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 9
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    DEEP-SEA ROBOTICS AND ICY MOONS - The Synergies of Exploring Deep-sea Ecosystems and Icy Moons (2022)
    Geomares
    Details
    Publication Date: 2022-04-21
    Description: During recent years, terrestrial and extraterrestrial ocean research have increasingly joined forces to merge expertise and technical solutions in the exploration of marine systems on Earth and in space. This includes solutions for robotic applications, autonomy and sensor integration, as well as data analysis. These synergies in biomimetic design, platform artificial intelligence (AI) and life-tracing sensor packages will be applied to the monitoring and surveillance of environmentally delicate habitats on Earth such as cold-water coral reefs or fishing grounds, as well as decommissioning sites. Thus, marine scientific and industrial offshore infrastructures may provide innovative test-bed services for robotics and sensor development.
    Type: Article , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - without review
  • 10
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    New High-Tech Flexible Networks for the Monitoring of Deep-Sea Ecosystems (2019)
    American Chemistry Society
    In:  Environmental Science & Technology, 53 (12). pp. 6616-6631.
    Details
    Publication Date: 2022-01-31
    Description: Increasing interest in the acquisition of biotic and abiotic resources from within the deep sea (e.g., fisheries, oil–gas extraction, and mining) urgently imposes the development of novel monitoring technologies, beyond the traditional vessel-assisted, time-consuming, high-cost sampling surveys. The implementation of permanent networks of seabed and water-column-cabled (fixed) and docked mobile platforms is presently enforced, to cooperatively measure biological features and environmental (physicochemical) parameters. Video and acoustic (i.e., optoacoustic) imaging are becoming central approaches for studying benthic fauna (e.g., quantifying species presence, behavior, and trophic interactions) in a remote, continuous, and prolonged fashion. Imaging is also being complemented by in situ environmental-DNA sequencing technologies, allowing the traceability of a wide range of organisms (including prokaryotes) beyond the reach of optoacoustic tools. Here, we describe the different fixed and mobile platforms of those benthic and pelagic monitoring networks, proposing at the same time an innovative roadmap for the automated computing of hierarchical ecological information on deep-sea ecosystems (i.e., from single species’ abundance and life traits to community composition, and overall biodiversity).
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1021/acs.est.9b00409
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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