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  • 1
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    Megafaunal ecological parameters investigated across the nodule cover gradient of the APEI6 of the CCZ (2018)
    PANGAEA
    In:  Supplement to: Simon-Lledó, Erik; Bett, Brian J; Huvenne, Veerle A I; Schoening, Timm; Benoist, Noelie M A; Jones, Daniel O B (2019): Ecology of a polymetallic nodule occurrence gradient: Implications for deep‐sea mining. Limnology and Oceanography, 64(5), 1883-1894, https://doi.org/10.1002/lno.11157
    Details
    Publication Date: 2023-03-25
    Description: Megafaunal parameters explored across different polymetallic-nodule covered seafloor classes. Megafaunal occurrences used to compute ecological parameters were inferred from seafloor imagery data collected using an autonomous vehicle during RSS James Cook cruise JC120 to the APEI6 area of the CCZ (Jones, 2015), in stations JC120-047, JC120-078, and JC120-087. Depth ranges between different data sites was 3950–4250 m. Environmental variables (i.e. nodule cover) were determined using image-based detection algorithms.
    Keywords: Annelida; Arthropoda; Autonomous underwater vehicle; AUV; Biomass, wet mass per area; Bryozoa; Clarion-Clipperton Fraction Zone, North East Pacific Ocean; Classification; Cnidaria; Community dissimilarity, MDS dimension 1; Crustacea; Ctenophora; Deposit feeder abundance; Echinodermata; Fauna, nodule-attached; Fauna, sediment attached and free-living; Inverse Simpson index of diversity; James Cook; JC120; JC120-047; M79; Metazoa; Mollusca; Morphospecies density; Morphospecies richness; Nodules; Osteichthyes; Porifera; Predator and scavenger abundance; Sample code/label; Shannon Diversity Index, exponential; Suspension feeder abundance; Tunicata; Xenophyophoroidea
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
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    DATA PANGAEA
  • 2
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    Chemical composition of pyrosome carcasses collected during SONNE cruise SO242/2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-04
    Description: During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific), pyrosome carcasses were collected at the seafloor. Aboard, these carcasses were stored frozen and in the lab on land, they were freeze-dried and ground to fine powder. Their carbon and nitrogen content, δ13C and δ15N were measured on an elemental analyzer coupled with a isotope ratio mass spectrometer (EA-c-IRMS).
    Keywords: C/N content; Carbon; Carbon/Nitrogen ratio; COLBOX; Collector Box; CTD/Rosette; CTD-RO; Date/Time of event; DISCOL; Elementar Analyzer coupled to an Isotope Ratio Mass Spectrometer (EA-IRMS); Elevation of event; Event label; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Latitude of event; Longitude of event; Nitrogen; Peru Basin; pyrosome; Sample code/label; SO242/2; SO242/2_176_COLBOX-salp; SO242/2_179_COLBOX-salp; SO242/2_204-1; Sonne_2; South Pacific Ocean; South Pacific Ocean, Peru Basin; δ13C; δ15N
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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    DATA PANGAEA
  • 3
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    Total fatty acids from pyrosome carcasses collected during SONNE cruise SO242/2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-04
    Description: During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific), pyrosome carcasses were collected at the seafloor. Aboard, these carcasses were stored frozen and in the lab on land, they were freeze-dried and ground to fine powder. Total fatty acid in pyrosome tissue were extracted following the Bligh and Dyer method and their isotopic compositions and concentrations were measured on a gas chromatograph coupled with an isotopic ratio mass spectrometer (EA-c-IRMS).
    Keywords: COLBOX; Collector Box; CTD/Rosette; CTD-RO; Date/Time of event; DISCOL; Elevation of event; Event label; Fatty acids, total; Fatty acids, δ13C; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Latitude of event; Longitude of event; Peru Basin; pyrosome; Sample code/label; SO242/2; SO242/2_176_COLBOX-salp; SO242/2_179_COLBOX-salp; SO242/2_204-1; Sonne_2; South Pacific Ocean; South Pacific Ocean, Peru Basin; total fatty acid
    Type: Dataset
    Format: text/tab-separated-values, 375 data points
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    DATA PANGAEA
  • 4
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    Phospholipid fatty acids of sediment push cores during SONNE cruise SO242/2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-04
    Description: During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific) push cores of sediment were taken in the abyssal plains with ROV Kiel 6000 (GEOMAR). The sediment cores were sliced in 0-2 and 2-5 cm intervals and stored frozen until further processing ashore. In the lab on land, sediment samples were freeze-dried, ground to fine powder, phospholipid-derived fatty acids (PLFAs) in the sediment were extracted following the Bligh and Dyer method and they were measured on a gas chromatograph coupled with an isotopic ratio mass spectrometer (EA-c-IRMS).
    Keywords: Date/Time of event; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; DISCOL; Elevation of event; Event label; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Laboratory code/label; Latitude of event; Longitude of event; Peru Basin; Phospholipid fatty acids; Phospholipid fatty acids, δ13C; PLFA; PUC; Push corer; Sample code/label; SO242/2; SO242/2_166_PUC-74-24-10; SO242/2_183_PUC-81-69-33; SO242/2_202_PUC-46-61-79; Sonne_2; South Pacific Ocean; Station label
    Type: Dataset
    Format: text/tab-separated-values, 774 data points
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    DATA PANGAEA
  • 5
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    Phospholipid fatty acids from pyrosome carcasses collected during SONNE cruise SO242/2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-04
    Description: During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific), pyrosome carcasses were at the seafloor. Aboard, these carcasses were stored frozen and in the lab on land, they were freeze-dried and ground to fine powder. Phospholipid-derived fatty acids (PLFAs) in pyrosome tissue were extracted following the Bligh and Dyer method and their isotopic compositions and concentrations were measured on a gas chromatograph coupled with an isotopic ratio mass spectrometer (EA-c-IRMS).
    Keywords: COLBOX; Collector Box; CTD/Rosette; CTD-RO; Date/Time of event; DISCOL; Elevation of event; Event label; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Latitude of event; Longitude of event; Peru Basin; Phospholipid fatty acids; Phospholipid fatty acids, δ13C; PLFA; pyrosome; Sample code/label; SO242/2; SO242/2_176_COLBOX-salp; SO242/2_179_COLBOX-salp; SO242/2_204-1; Sonne_2; South Pacific Ocean; South Pacific Ocean, Peru Basin
    Type: Dataset
    Format: text/tab-separated-values, 375 data points
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    DATA PANGAEA
  • 6
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    Neutral lipid fatty acids from pyrosome carcasses collected during SONNE cruise SO242/2 (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-04
    Description: During RV SONNE cruise SO242/2 (September 2015) to the DISCOL site in the Peru Basin (SE Pacific), pyrosome carcasses were collected at the seafloor. Aboard, these carcasses were stored frozen and in the lab on land, they were freeze-dried and ground to fine powder. Neutral lipid-derived fatty acids (NLFAs) in pyrosome tissue were extracted following the Bligh and Dyer method and their isotopic compositions and concentrations were measured on a gas chromatograph coupled with an isotopic ratio mass spectrometer (EA-c-IRMS).
    Keywords: COLBOX; Collector Box; CTD/Rosette; CTD-RO; Date/Time of event; DISCOL; Elevation of event; Event label; JPI-OCEANS; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; Latitude of event; Longitude of event; Neutral lipid fatty acids; Neutral lipid fatty acids, δ13C; NLFA; Peru Basin; pyrosome; Sample code/label; SO242/2; SO242/2_176_COLBOX-salp; SO242/2_179_COLBOX-salp; SO242/2_204-1; Sonne_2; South Pacific Ocean; South Pacific Ocean, Peru Basin
    Type: Dataset
    Format: text/tab-separated-values, 375 data points
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  • 7
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    Megafauna distribution predicted with random forest classification in the German contract area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific (2022)
    PANGAEA
    Details
    Publication Date: 2023-07-24
    Description: The dataset contains grid-files of the predicted probability of occurrence, respectively non-occurrence, predicted for the 68 morphotypes across the German contract area allocated to the German Federal Institute for Geosciences and Natural Resources (BGR) for the exploration of polymetallic nodules in the Clarion Clipperton Facture Zone, Pacific with random forest classification. All grid-files are saved in the standard format of the R-package "raster" (https://cran.r-project.org/web/packages/raster/index.html) and contain 2 bands, the first being the predicted probability for absence and the second layer for presence of the specific morphotype.
    Keywords: CCZ_GER; Clarion-Clipperton Fraction Zone, North East Pacific Ocean; distribution modelling; image annotation; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; megafauna; Random forest classification; Seabed Mining And Resilience To Experimental impact; SMARTEX
    Type: Dataset
    Format: application/zip, 765.3 MBytes
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  • 8
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    Megafauna morphotypes annotated on deep see images in the German contract area for polymetallic nodule mining, Clarion Clipperton Fracture Zone, Pacific (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The dataset contains the counts of megafauna morphotypes annotated on deep sea images from the contract area allocated to the German Federal Institute for Geosciences and Natural Resources (BGR) for the exploration of polymetallic nodules in the Clarion Clipperton Facture Zone, Pacific. A subset of this dataset was used to compute distribution models for 68 megafauna morphotypes (referred to as study 1 in the table). Another subset was used to investigate the influence of habitat heterogeneity on the megafauna composition (referred to as study 2 in the table).
    Keywords: Abyssopathes sp.; Abyssoprimnoa gemina; Acrocirridae; Actiniaria; Alcyonacea; Alternatipathes sp.; Amperima sp.; Amphidiscosida; Amphipoda; Antipatharia; Appendicularia; Area; Asbestopluma sp.; Aspidodiadematidae; Asteroidea; Astropectinidae; Axoniderma mexicana; Bathycrinus sp.; Bathydorus laniger; Bathydorus sp.; Bathygorgia profunda; Bathygorgia sp.; Bathymetrinae; Bathypathes sp.; Benthocodon sp.; Benthodytes sp.; BGR ISA Claim Survey; BGR Manganese; Bivalvia; Bolosoma sp.; Brachiopoda; Bryozoa; Calanoida indeterminata; Callozostron bayeri; Calyptrophora distolos; Calyptrophora persephone; Caulophacus sp.; Caulophacus variens; Cerataspis sp.; Ceriantharia; Chondrocladia sp.; Chonelasma sp.; Chordata; Chrysogorgia sp.; Cluster type; Columnella sp.; Comatulida; Comment; Corallimorphus sp.; Counting from image; Crateromorpha sp.; Crinoidea; Crossota sp.; Cruise/expedition; Ctenophora; Culeolus sp.; Cyclostomatida; DATE/TIME; Deimatidae; distribution modelling; Docosaccus maculatus; Docosaccus nidulus; Dytaster sp.; Echinocrepis sp.; Ellipinion sp.; Elpidiidae; Enypniastes sp.; Equatorial East Pacific; Event label; File name; Freyastera sp.; Freyella sp.; Galatheidae; Gastropoda; Glyphocrangon sp.; Habitat; Holascus euonyx; Holascus sp.; Holascus spinosus; Holascus taraxacum; Holothuria; Hormathiidae; Hyalonema (Corynonema) depressum; Hyalonema (Onconema) clarioni; Hyalonema (Onconema) sp.; Hyalonema (Prionema) breviradix; Hyalonema sp.; Hyalostylus sp.; Hydrozoa; Hymenaster pellucidus; Hymenaster sp.; Hymenopenaeus nereus; Hyocrinidae; Hyphalaster sp.; image annotation; Isididae; JPI Oceans - Ecological Aspects of Deep-Sea Mining; JPIO-MiningImpact; KM13-07; KM13-07_49; KM13-07_50; KM13-07_51; KM13-07_52; KM13-07_55; KM13-07_56; KM16-06; KM16-06_06; Laetmogonidae; LATITUDE; Lepidisis sp.; LONGITUDE; MANGAN; Mastigoteuthidae; megafauna; Mesothuria sp.; Metridioidea; Mollusca; Molpadiodemas sp.; Mopseinae; Munidopsis sp.; Munnopsidae; Mysidae; Nematocarcinus sp.; Nemertea; North Pacific Ocean; Notoplites sp.; Ocean Floor Observation System; Octacnemidae; Octopodidae; OFOS; Oneirophanta sp.; Onuphidae; Ophiacantha; Ophiacanthidae; Ophiopyrgidae; Ophiosphalma glabrum; Ophiuroidea; Parapaguridae; Paxillosida; Peniagone sp.; Peniagone vitrea; Phelliactis sp.; Plesiodiadema globulosum; Plesiopenaeus sp.; Poecilosclerida; Polynoidae; Polyplacophora; Porcellanasteridae; Porifera; Primnoidae; Pseudostichopus sp.; Psychronaetes sp.; Psychropotes verrucicaudatus; Pterasteridae; Pycnogonida; Random forest classification; Rhabdocalyptus sp.; Rhopalonematidae; RV Kilo Moana; Sabellidae; Scalpellidae; Schizopathes sp.; Scleractinia; Scyphozoa; Seabed Mining And Resilience To Experimental impact; SMARTEX; Smithsonius sp.; SO205; SO205-04-1; SO205-66-1; SO240; SO240_113-1; SO240_13-1; SO240_28-1; SO240_40-1; SO240_41-1; SO240_49-1; SO262; SO262_102-1; SO262_131-1; SO262_168-1; SO262_30-1; SO262_49-1; SO262_60-1; Sonne; Sonne_2; Spirularia; Sympagella abysslineae; Sympagella clippertonae; Synallactes sp.; Taiaroidae; Tanaidacea; Transect; Urechinus sp.
    Type: Dataset
    Format: text/tab-separated-values, 2139336 data points
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  • 9
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    Abundance and morphology of Paleodictyon nodosum, observed at the Clarion-Clipperton Zone (2017)
    Springer
    Details
    Publication Date: 2017-01-21
    Print ISSN: 1867-1616
    Electronic ISSN: 1867-1624
    Topics: Biology
    Published by Springer
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  • 10
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    Megafauna community assessment of polymetallic-nodule fields with cameras: platform and methodology comparison (2020)
    Copernicus
    Details
    Publication Date: 2020-06-19
    Description: With the mining of polymetallic nodules from the deep-sea seafloor once more evoking commercial interest, decisions must be taken on how to most efficiently regulate and monitor physical and community disturbance in these remote ecosystems. Image-based approaches allow non-destructive assessment of the abundance of larger fauna to be derived from survey data, with repeat surveys of areas possible to allow time series data collection. At the time of writing, key underwater imaging platforms commonly used to map seafloor fauna abundances are autonomous underwater vehicles (AUVs), remotely operated vehicles (ROVs) and towed camera “ocean floor observation systems” (OFOSs). These systems are highly customisable, with cameras, illumination sources and deployment protocols changing rapidly, even during a survey cruise. In this study, eight image datasets were collected from a discrete area of polymetallic-nodule-rich seafloor by an AUV and several OFOSs deployed at various altitudes above the seafloor. A fauna identification catalogue was used by five annotators to estimate the abundances of 20 fauna categories from the different datasets. Results show that, for many categories of megafauna, differences in image resolution greatly influenced the estimations of fauna abundance determined by the annotators. This is an important finding for the development of future monitoring legislation for these areas. When and if commercial exploitation of these marine resources commences, robust and verifiable standards which incorporate developing technological advances in camera-based monitoring surveys should be key to developing appropriate management regulations for these regions.
    Print ISSN: 1726-4170
    Electronic ISSN: 1726-4189
    Topics: Biology , Geosciences
    Published by Copernicus on behalf of European Geosciences Union.
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