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  • PANGAEA  (13)
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  • 1
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    PANGAEA
    In:  Supplement to: La Beur, Laura; Henry, Lea-Anne; Kazanidis, Georgios; Hennige, Sebastian; McDonald, Alison; Roberts, J Murray (2019): Baseline Assessment of Marine Litter and Microplastic Ingestion by Cold-Water Coral Reef Benthos at the East Mingulay Marine Protected Area (Sea of the Hebrides, Western Scotland). Frontiers in Marine Science, 6, 80, https://doi.org/10.3389/fmars.2019.00080
    Publication Date: 2024-03-11
    Description: Analyzing historic cruise data for microplastics is an effective way to create baseline level understanding of microplastic pollution through time. This study analyzed 112 benthic specimens gut contents for ingestion of microplastics. These specimens were collected as part of a research cruise on the RRS Discovery D340b from 26 June to 4 July 2009 as part of the Oceans 2025 programme, the cruise Chief Scientist being Mark Inall. Out of the 112 specimens dissected, only 9 contained microplastic samples. These samples were photographed and their microplastic signatures were analysed using Raman Spectroscopy.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Color description; D340b_1485; D340b_1487; D340b_1490; D340b_1491; D340b_1495; DEPTH, water; Event label; File name; Latitude of event; Longitude of event; Size; Species; Station label; Type; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 63 data points
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2024-03-11
    Description: In this data set, we provide environmental (coordinates, depth, temperature, salinity, type of substrate, demersal fisheries) and biological data (sponge morphotype density and sponge morphotype size) from seabed images collected using a towed camera in the sponge belt located in the Faroe-Shetland Channel Nature Conservation Marine Protected Area.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Faroe_Shetland_Sponge_Belt; Faroe-Shetland Channel; File format; File name; File size; MULT; Multiple investigations; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 1828 data points
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  • 3
    Publication Date: 2024-03-11
    Keywords: Area; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; DEPTH, water; Description; Factor; Faroe_Shetland_Sponge_Belt; Faroe-Shetland Channel; File name; Fish; Individuals per area; LATITUDE; LONGITUDE; MULT; Multiple investigations; Number; Presence/absence; Salinity; Sample code/label; Substrate type; Sum; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 13950 data points
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  • 4
    Publication Date: 2024-03-11
    Description: In this data set, we provide environmental (coordinates, depth, temperature, salinity, type of substrate, demersal fisheries) and biological data (sponge morphotype density and sponge morphotype size) from seabed images collected using a towed camera in the sponge belt located in the Faroe-Shetland Channel Nature Conservation Marine Protected Area.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 5
    Publication Date: 2024-03-11
    Description: We used environmental niche modelling along with the best available species occurrence data and environmental parameters to model habitat suitability for key cold-water coral and commercially important deep-sea fish species under present-day (1951-2000) environmental conditions and to forecast changes under severe, high emissions future (2081-2100) climate projections (RCP8.5 scenario) for the North Atlantic Ocean (from 18°N to 76°N and 36°E to 98°W). The VME indicator taxa included Lophelia pertusa , Madrepora oculata, Desmophyllum dianthus, Acanela arbuscula, Acanthogorgia armata, and Paragorgia arborea. The six deep-sea fish species selected were: Coryphaenoides rupestris, Gadus morhua, blackbelly Helicolenus dactylopterus, Hippoglossoides platessoides, Reinhardtius hippoglossoides, and Sebastes mentella. We used an ensemble modelling approach employing three widely-used modelling methods: the Maxent maximum entropy model, Generalized Additive Models, and Random Forest. This dataset contains: 1) Predicted habitat suitability index under present-day (1951-2000) and future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean, using an ensemble modelling approach.  2) Climate-induced changes in the suitable habitat of twelve deep-sea species in the North Atlantic Ocean, as determined by binary maps built with an ensemble modelling approach and the 10-percentile training presence logistic (10th percentile) threshold. 3) Forecasted present-day suitable habitat loss (value=-1), gain (value=1), and acting as climate refugia (value=2) areas under future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean. Areas were identified from binary maps built with an ensemble modelling approach and two thresholds: 10-percentile training presence logistic threshold (10th percentile) and maximum sensitivity and specificity (MSS). Refugia areas are those areas predicted as suitable both under present-day and future conditions. All predictions were projected with the Albers equal-area conical projection centred in the middle of the study area. The grid cell resolution is of 3x3 km.
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Climate change; cold-water corals; Deep-sea; File format; File name; File size; fisheries; fishes; habitat suitability modelling; octocorals; scleractinians; species distribution models; Uniform resource locator/link to file; vulnerable marine ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 384 data points
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  • 6
    Publication Date: 2024-03-11
    Description: This data is showing the outcomes of the analysis done by ATLAS researchers on the environmental status of nine deep-sea areas in the northeast Atlantic. These results are part of the ATLAS work facilitating the implementation of the European Commission's Marine Strategy Framework Directive in the deep waters of the North Atlantic. The nine study areas that were examined are: 1) LoVe Ocean Observatory, 2) Faroe-Shetland Channel, 3) Reykjanes Ridge, 4) Rockall Bank, 5) Mingulay Reef Complex, 6) Porcupine Seabight, 7) Bay of Biscay, 8) Azores, 9) Gulf of Cádiz. The analyses were carried out using the Nested Environmental status Assessment Tool (NEAT). The environmental status outcomes are shown for the total study area, the designated spatial assessment units (SAUs), the ecosystem components ("Benthic invertebrates", "Fish", "Benthos") and the habitats ("Aggregations of L. pertusa & M. oculata on soft sediments", "Aggregations of sea pens & alcyonaceans on soft sediments", "Aggregations of L. pertusa & M. oculata on hard substrates", "Aggregations of Antipatharians and alcyonaceans on hard substrates", "Benthic", "Rocky", "Sedimentary").
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Deep sea; Good Environmental Status; Marine Strategy Framework Directive; Nested Environmental status Assessment Tool
    Type: Dataset
    Format: application/zip, 13.9 kBytes
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  • 7
    Publication Date: 2024-04-17
    Keywords: -; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Bathymetric positioning index; Bottom water temperature; Climate change; continental shelf; coral reefs; Current speed; Deep sea; DEPTH, water; Habitat; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Macrofauna; Mingulay_Reef_Complex; MRC; MULT; Multiple investigations; North Atlantic Oscillation index; Reconstructed; Ruggedness; Salinity; Sample code/label; Scotland Sea; Slope; Station label; vulnerable marine ecosystems
    Type: Dataset
    Format: text/tab-separated-values, 1185 data points
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  • 8
    Publication Date: 2024-04-17
    Description: The presence-absence data for macrobenthic fauna that has been collected in Mingulay Reef Complex (Scotland, UK) across 79 stations over the years 2003, 2005, 2009, 2010 and 2011. The collection of the benthic samples has been carried out using a Van-Veen grab, mainly from hard habitats (e.g. live and dead coral framework). About 60% of the macrofaunal specimens have been identified at species level using high quality taxonomic keys and advice from taxonomy experts. Most common taxonomic groups analysed here are molluscs, polychaetes, arthropods, bryozoans, anthozoans, tunicates and brachiopods. The collection of the specimens is now deposited at the National Museums of Scotland (see the attached excel file for details). The enviromental data contains information about coordinates and environmental settings at stations where macrobenthic samples mentioned above, were collected. The environmental settings that are included in the file refer to the years 2003, 2005, 2009, 2010, 2011. For more information on the environmental variables have a look in Henry et al. 2010 (doi:10.1007/s00338-009-0577-6) and Henry et al. 2013 (doi:10.5194/bg-10-2737-2013). The environmental variables included in the excel file are: type of macrohabitat (i.e. muddy sand, rubble, rock, live coral, dead framework, live & dead framework), depth (m), slope, ruggedness, broad-scale bathymetric position index, fine-scale bathymetric position index, average current speed (m/s), maximum current speed (m/s), northness, eastness, winter North Atlantic Oscillation Index (same year), winter North Atlantic Oscillation Index (previous year), annual average bottom temperature (same year), annual average bottom salinity (same year). Extraction of bathymetric (depth) and topographic data [slope, aspect, northness, eastness, ruggedness, standardised broad-scale bathymetric position index (BPI; with an inner radius of 1 cell and an outer radius of 5 cells), fine-scale BPI (with an inner radius of 1 cell and an outer radius of 3 cells)] was based on multibeam echosounder data, using the Spatial Analyst and Benthic Terrain Modeler toolboxes in ArcGIS v.10.6.1 Average and maximum current speed values (m/s) were extracted by the ArcGIS v. 10.6.1 Spatial Analyst toolbox using data generated by a high-resolution 3D ocean model created for the MRC by Moreno-Navas et al. (2014). Data for the winter NAOI (DJFM) (Hurrell et al., 2003) were downloaded from the National Center for Atmospheric Research/University Corporation for Atmospheric Research website (climatedataguide.ucar.edu; data accessed on 28/02/2019).
    Keywords: ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Climate change; continental shelf; coral reefs; Deep sea; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Macrofauna; vulnerable marine ecosystems
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
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  • 9
    Publication Date: 2024-04-17
    Description: I attach here 2 excel files: The 1st one is entitled "KAZANIDIS ET AL_ATLAS MINGULAY REEF COMPLEX_MACROBENTHOS DATA". This file contains a presence-absence matrix for macrobenthic fauna that has been collected in Mingulay Reef Complex (Scotland, UK) across 79 stations over the years 2003, 2005, 2009, 2010 and 2011. The 2nd one is entitled "KAZANIDIS ET AL_MINGULAY REEF COMPLEX_ENVIRONMENTAL DATA". This files contains information about coordinates and environmental settings at stations where macrobenthic samples mentioned above, were collected. Please mention that it is quite important that these two excel files stay together
    Keywords: Abra alba; Abyssoninoe hibernica; Acanthicolepis asperrima; Actiniaria spp.; Actiniidae spp.; Aetea sp.; Alcyonium digitatum; Alderina imbellis; Alentia gelatinosa; Alvania beanii; Amaeana trilobata; Ampharetidae spp.; Amphiblestrum auritum; Amphiblestrum flemingii; Amphiblestrum solidum; Amphiblestrum sp.; Amphiglena sp.; Amphilochus manudens; Amphipholis squamata; Amphipoda spp.; Amphiura chiajei; Anarthropora monodon; Annectocyma major; Anomia ephippium; Anthopleura sp.; Anthozoa sp.; Aphroditidae sp.; Aplacophora sp.; Apomatus similis; Aquiloniella scabra; Arca tetragona; Arcopagia crassa; Arcturidae sp.; Aristias neglectus; Aristias sp.; Ascidia conchilega; Ascidia mentula; Ascidiella aspersa; Ascidiella scabra; Asclerocheilus intermedius; Aspidosiphon (Aspidosiphon) muelleri muelleri; Astarte sulcata; Asteroidea sp.; Atlantopandalus propinqvus; ATLAS; A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe; Atylus spp.; Aurospio banyulensis; Bicellariella ciliata; Bispira volutacornis; Bivalvia spp.; Boreotrophon truncatus; Brachyura spp.; Branchiomma bombyx; Buskea dichotoma; Buskea nitida; Buskea sp.; Buskia sp.; Caberea ellisii; Callopora dumerilii; Capitellidae sp.; Caprellidae sp.; Capulus ungaricus; Celleporina caliciformis; Celleporina pygmaea; Celleporina sp.; Cerithiopsis tubercularis; Chaetopterus sp.; Chaetopterus variopedatus; Cheilostomatida sp.; Chirona hameri; Chone sp.; Chorizopora sp.; Ciona intestinalis; Cirolanidae sp.; Cirratulidae spp.; Climate change; continental shelf; Copepoda sp.; coral reefs; Crinoid sp.; Crisia denticulata; Crisia eburnea; Crisia spp.; Crustacea spp.; Cyclostomata spp.; DATE/TIME; Deep sea; Diastylidae spp.; Diastylis rugosa; Diplosolen obelium; Disporella hispida; Ditrupa arietina; Donax vittatus; Dorvillea rubrovittata; Dorvilleidae spp.; Dyspanopeus sayi; Ebalia cranchii; Echinocyamus pusillus; Echiura spp.; Edwardsiella carnea; Emarginula fissura; Entalophoroecia deflexa; Entoprocta sp.; Ericthonius difformis; Escharella immersa; Escharella klugei; Escharella octodentata; Escharella ventricosa; Escharina johnstoni; Escharina vulgaris; Eucalathis tuberata; Euchone spp.; Euclymene sp.; Eulalia bilineata; Eulalia tjalfiensis; Eunice dubitata; Eunice norvegica; Eunicidae spp.; Eunoe nodosa; Eunoe sp.; Euphrosine borealis; Euphrosine sp.; Euphrosinidae spp.; Eusyllis blomstrandi; Exidmonea atlantica; Exogone naidina; Exogone verugera; Falcidens crossotus; Filicrisia geniculata; Fimbriosthenelais zetlandica; Flabelligera sp.; Flabelligeridae sp.; Galathea intermedia; Galathea nexa; Galathea sp.; Galathea strigosa; Galatheidae sp.; Gammaridae spp.; Gastropoda spp.; Glycera lapidum; Glycera sp.; Glyceridae spp.; Gnathia dentata; Gnathia sp.; Gnathia vorax; Gnathiidae sp.; Goniadidae spp.; Hanleya hanleyi; Haploploma sciaphilum; Haplopoma graniferum; Haplopoma planum; Haplosyllis spongicola; Harmothoe fraserthomsoni; Harmothoe oculinarum; Harmothoe sp.; Hemicyclopora multispinata; Hemicyclopora polita; Henricia oculata; Herentia hyndmanni; Hesionidae spp.; Heteranomia squamula; Heteromysis (Heteromysis) formosa; Heteromysis (Heteromysis) norvegica; Hexacorallia sp.; Hiatella arctica; Hippoporella hippopus; Hippothoa flagellum; Hippothoa sp.; Holothuroidea spp.; Hydroides norvegica; Hydroides sp.; iAtlantic; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Janira maculosa; Jassa falcata; Kellia suborbicularis; Lanassa venusta; Laonice bahusiensis; Lepidonotus squamatus; Leptocheirus aff. pectinatus; Leptochiton cancellatus; Leptometra celtica; Leptoplana tremellaris; Leucothoe spinicarpa; Lichenopora sp.; Lumbrineridae spp.; Lumbrineris futilis; Lumbrineris spp.; Lysianassidae spp.; Lysidice unicornis; Macrofauna; Maldanidae spp.; Marphysa sp.; Maxmuelleria lankesteri; Melinna cristata; Metavermilia multicristata; Metopa pusilla; Metopa sp.; Microporella sp.; Mingulay_Reef_Complex; Modiolula phaseolina; Modiolus modiolus; MRC; MULT; Multiple investigations; Munida rugosa; Munida sarsi; Munna kroyeri; Munna minuta; Munna sp.; Munnidae sp.; Nemertea spp.; Neohololepidella sp.; Neolagisca jeffreysi; Nephtyidae sp.; Nereicolidae spp.; Nereididae sp.; Nereimyra punctata; Notomastus spp.; Notophyllum foliosum; Novocrania anomala; Octocorallia sp.; Oligochaeta sp.; Omalosecosa ramulosa; Oncousoecia diastoporides; Oncousoecia dilatans; Onoba semicostata; Opheliidae sp.; Ophiacantha aculeata; Ophiactis balli; Ophiopholis aculeata; Ophiothrix fragilis; Ophiothrix sp.; Ophiura ophiura; Ophiuroidea spp.; Orbinia sp.; Paguridae spp.; Pagurus forbesii; Palliolum striatum; Palmicellaria elegans; Palmiskenea skenei; Pandalina brevirostris; Parasabella cambrensis; Parasabella saxicola; Parasmittina trispinosa; Parazoanthus anguicomus; Parexogone hebes; Parvicardium cf scabrum; Patinella verrucaria; Pectinariidae spp.; Pectinidae sp.; Pedicellina hispida; Pencilletta penicillata; Pentapora sp.; Peringia ulvae; Phascolosoma (Phascolosoma) granulatum; Pholoe inornata; Pholoe sp.; Pholoidae spp.; Phyllodoce sp.; Phyllodocidae spp.; Placostegus tridentatus; Plagioecia patina; Plagioecia sp.; Pododesmus patelliformis; Pododesmus squama; Polycarpa pomaria; Polychaeta sp.; Polycirrus arcticus; Polycirrus spp.; Polydora sp.; Polynoidae spp.; Polyplacophora sp.; Porania (Porania) pulvillus; Porella compressa; Prenantia cheilostoma; Priapulida sp.; Priapulus caudatus; Propebela rufa; Proscalibregma sp.; Protula sp.; Pseudoparatanais batei; Pseudopotamilla reniformis; Pseudopotamilla sp.; Pyripora catenularia; Pyura tessellata; Ramphonotus minax; Reteporella beaniana; Sabella discifera; Sabella pavonina; Sabellaria spinulosa; Sabellariidae spp.; Sabellidae spp.; Sample code/label; Sample ID; Scalibregmatidae sp.; Schizomavella (Calvetomavella) discoidea; Schizomavella (Schizomavella) hastata; Schizomavella (Schizomavella) linearis; Schizomavella sp.; Scionella sp.; Scolelepis sp.; Scotland Sea; Scrupocellaria scrupea; Scrupocellaria sp.; Serpula planorbis; Serpula vermicularis; Serpulidae spp.; Sigalionidae spp.; Sigalion mathildae; Sigalion sp.; Sipuncula spp.; Smittina affinis; Smittina crystallina; Smittoidea reticulata; Sphaerodoridae spp.; Sphaerosyllis cf. taylori; Sphaerosyllis hystrix; Sphaerosyllis spp.; Spionidae spp.; Spiophanes kroyeri; Spirobranchus lamarcki; Spirobranchus spp.; Spirobranchus triqueter; Station label; Stenopleustes latipes; Stenothoidae spp.; Stomacrustula sinuosa; Stomatopora gingrina; Stomatoporina incurvata; Swiftia pallida; Syllidae spp.; Syllides sp.; Syllis armillaris; Syllis columbretensis; Syllis cornuta; Syllis hyalina; Syllis spp.; Syllis variegata; Terebellidae spp.; Terebellides spp.; Terebellides stroemii; Terebratulina retusa; Terminoflustra barleei; Tessaradoma boreale; Thyasira spp.; Tmetonyx sp.; Tonicella marmorea; Trypanosyllis (Trypanosyllis) coeliaca; Trypanosyllis zebra; Tubulipora flabellaris; Tubulipora lobifera; Tubulipora spp.; Tunicata spp.; Turbicellepora avicularis; Uromunna petiti; Venus verrucosa; Verruca stroemia; vulnerable marine ecosystems; Xantho hydrophilus
    Type: Dataset
    Format: text/tab-separated-values, 27237 data points
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  • 10
    Publication Date: 2024-04-20
    Description: These data aim to evaluate the spatial overlap between human activities and the key areas utilised by cetaceans within Bermuda's Exclusive Economic Zone (EEZ). Raster and vector layers were collated through online sources and engaging with those working on Bermuda's Marine Spatial Plan. Human use layers include the key regions for shipping, fishing, and tourism operations. Novel shapefiles of cetacean distribution were generated using the participatory Geographic Information System (GIS) platform 'SeaSketch'. Eight experts from three industries (research, whale-watching, and charter boating) contributed to the dataset and created layers based on 〉20 years knowledge of where Bermuda's cetaceans are distributed. Layers of four cetacean species were generated: humpback whales (Megaptera novaeangliae), bottlenose dolphins (Tursiops truncatus), Cuvier's beaked whales (Ziphius cavirostrus) and sperm whales (Physeter macrocephalus). For the humpback whales, four merged shapefiles exist demonstrating the key areas for various behaviours and/or habitats that have been observed. These include shallow areas between reefs (known as sand holes) where humpbacks are often observed, and areas where they have been observed singing, resting, and engaging in active behaviours. A total overlap of all gathered cetacean layers exists in a raster format to highlight the most diverse regions in Bermuda. Free online data sources of cetacean migrations sightings are also included, which date between 1785-2022. Online data from the World Bank shows the global densities of Automatic Identification System (AIS) signals from various vessels between Jan-2015 and Feb-2021. A proximity analysis was done on this raster within the cetacean layers to show whether shipping concentrations are high within key cetacean areas and thus cause a significant threat. This information was gathered to analyse whether the International Maritime Organization (IMO) could implement a Particularly Sensitive Sea Area (PSSA) to regulate vessel traffic. The dataset was created using QGIS version 3.22.8 Białowieża under Work Package 3 of the EU H2020 project 'iAtlantic'.
    Keywords: Atlantic_Areas_Cetaceans_Humans; Atlantic Ocean; Bermuda; Binary Object; Binary Object (File Size); Binary Object (Media Type); cetaceans; Conservation; Family; File content; Horizontal datum; iAtlantic; Infraorder; Integrated Assessment of Atlantic Marine Ecosystems in Space and Time; Latitude, northbound; Latitude, southbound; Longitude, eastbound; Longitude, westbound; Obtained from Geographic Information System (GIS); Particularly Sensitive Sea Area; Raster cell size; Reference in WoRMS; Species; Species, unique identification (Semantic URI); Species, unique identification (URI); Vertical datum
    Type: Dataset
    Format: text/tab-separated-values, 653 data points
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