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  • 1
    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
    Location Call Number Limitation Availability
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  • 2
    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 Limitation Availability
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  • 3
    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
    Location Call Number Limitation Availability
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  • 4
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    FEMS microbiology letters 142 (1996), S. 0 
    ISSN: 1574-6968
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Abstract An isolation method is described which results in the enrichment of Bacillus thuringiensis compared to other members of the genus Bacillus. This method was compared to previously published methods claimed to have the same effect. We show that our method produced significantly more colonies of B. thuringiensis out of those with a ‘presumptive-positive’ morphology than the other methods tested. The diversity of the strains isolated by our method was investigated. The variability of the strains isolated suggests that the method does not preferentially select one strain or sub-group of B. thuringiensis over others.
    Type of Medium: Electronic Resource
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  • 5
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Li, F., Lozier, M. S., Bacon, S., Bower, A. S., Cunningham, S. A., de Jong, M. F., DeYoung, B., Fraser, N., Fried, N., Han, G., Holliday, N. P., Holte, J., Houpert, L., Inall, M. E., Johns, W. E., Jones, S., Johnson, C., Karstensen, J., Le Bras, I. A., P. Lherminier, X. Lin, H. Mercier, M. Oltmanns, A. Pacini, T. Petit, R. S. Pickart, D. Rayner, F. Straneo, V. Thierry, M. Visbeck, I. Yashayaev & Zhou, C. Subpolar North Atlantic western boundary density anomalies and the Meridional Overturning Circulation. Nature Communications, 12(1), (2021): 3002, https://doi.org/10.1038/s41467-021-23350-2.
    Description: Changes in the Atlantic Meridional Overturning Circulation, which have the potential to drive societally-important climate impacts, have traditionally been linked to the strength of deep water formation in the subpolar North Atlantic. Yet there is neither clear observational evidence nor agreement among models about how changes in deep water formation influence overturning. Here, we use data from a trans-basin mooring array (OSNAP—Overturning in the Subpolar North Atlantic Program) to show that winter convection during 2014–2018 in the interior basin had minimal impact on density changes in the deep western boundary currents in the subpolar basins. Contrary to previous modeling studies, we find no discernable relationship between western boundary changes and subpolar overturning variability over the observational time scales. Our results require a reconsideration of the notion of deep western boundary changes representing overturning characteristics, with implications for constraining the source of overturning variability within and downstream of the subpolar region.
    Description: We acknowledge funding from the Physical Oceanography Program of the U.S. National Science Foundation (OCE-1259398, OCE-1756231, OCE-1948335); the U.K. Natural Environment Research Council (NERC) National Capability programs the Extended Ellett Line and CLASS (NE/R015953/1), and NERC grants UK-OSNAP (NE/K010875/1, NE/K010875/2, NE/K010700/1) and U.K. OSNAP Decade (NE/T00858X/1, NE/T008938/1). Additional support was received from the European Union 7th Framework Program (FP7 2007-2013) under grant 308299 (NACLIM), the Horizon 2020 research and innovation program under grants 727852 (Blue-Action), 862626 (EuroSea). We also acknowledge support from the Royal Netherlands Institute for Sea Research, the Surface Water and Ocean Topography-Canada (SWOT-C), Canadian Space Agency, the Aquatic Climate Change Adaptation Services Program (ACCASP), Fisheries and Oceans Canada, an Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant, and from the China’s national key research and development projects (2016YFA0601803), the National Natural Science Foundation of China (41925025) and the Fundamental Research Funds for the Central Universities (201424001). Support for the 53°N array by the RACE program of the German Ministry BMBF is acknowledged, as is the contribution from Fisheries and Oceans Canada’s Atlantic Zone Monitoring Program.
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 6
    Publication Date: 2021-02-08
    Description: Seawater rare earth element (REE) concentrations are increasingly applied to reconstruct water mass histories by exploiting relative changes in the distinctive normalised patterns. However, the mechanisms by which water masses gain their patterns are yet to be fully explained. To examine this, we collected water samples along the Extended Ellett Line (EEL), an oceanographic transect between Iceland and Scotland, and measured dissolved REE by offline automated chromatography (SeaFAST) and ICP-MS. The proximity to two continental boundaries, the incipient spring bloom coincident with the timing of the cruise, and the importance of deep water circulation in this climatically sensitive gateway region make it an ideal location to investigate sources of REE to seawater and the effects of vertical cycling and lateral advection on their distribution. The deep waters have REE concentrations closest to typical North Atlantic seawater and are dominated by lateral advection. Comparison to published seawater REE concentrations of the same water masses in other locations provides a first measure of the temporal and spatial stability of the seawater REE signal. We demonstrate the REE pattern is replicated for Iceland-Scotland Overflow Water (ISOW) in the Iceland Basin from adjacent stations sampled 16 years previously. A recently published Labrador Sea Water (LSW) dissolved REE signal is reproduced in the Rockall Trough but shows greater light and mid REE alteration in the Iceland Basin, possibly due to the dominant effect of ISOW and/or continental inputs. An obvious concentration gradient from seafloor sediments to the overlying water column in the Rockall Trough, but not the Iceland Basin, highlights release of light and mid REE from resuspended sediments and pore waters, possibly a seasonal effect associated with the timing of the spring bloom in each basin. The EEL dissolved oxygen minimum at the permanent pycnocline corresponds to positive heavy REE enrichment, indicating maximum rates of organic matter remineralisation and associated REE release. We tentatively suggest a bacterial role to account for the observed heavy REE deviations. This study highlights the need for fully constrained REE sources and sinks, including the temporary nature of some sources, to achieve a balanced budget of seawater REE.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: other
    Format: other
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  • 7
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    AGU (American Geophysical Union) | Wiley
    In:  Journal of Geophysical Research: Oceans, 123 (2). pp. 1471-1484.
    Publication Date: 2021-02-08
    Description: The variability of the Atlantic Meridional Overturning Circulation (AMOC) may play a role in sea surface temperature predictions on seasonal to decadal time scales. Therefore, AMOC seasonal cycles are a potential baseline for interpreting predictions. Here we present estimates for the seasonal cycle of transports of volume, temperature, and freshwater associated with the upper limb of the AMOC in the eastern subpolar North Atlantic on the Extended Ellett Line hydrographic section between Scotland and Iceland. Due to weather, ship‐based observations are primarily in summer. Recent glider observations during other seasons present an opportunity to investigate the seasonal variability in the upper layer of the AMOC. First, we document a new method to quality control and merge ship, float, and glider hydrographic observations. This method accounts for the different spatial sampling rates of the three platforms. The merged observations are used to compute seasonal cycles of volume, temperature, and freshwater transports in the Rockall Trough. These estimates are similar to the seasonal cycles in two eddy‐resolving ocean models. Volume transport appears to be the primary factor modulating other Rockall Trough transports. Finally, we show that the weakest transports occur in summer, consistent with seasonal changes in the regional‐scale wind stress curl. Although the seasonal cycle is weak compared to other variability in this region, the amplitude of the seasonal cycle in the Rockall Trough, roughly 0.5–1 Sv about a mean of 3.4 Sv, may account for up to 7–14% of the heat flux between Scotland and Greenland.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 8
    Publication Date: 2024-02-07
    Description: Observations of the eastern subpolar North Atlantic in the 2010s show exceptional freshening and cooling of the upper ocean, peaking in 2016 with the lowest salinities recorded for 120 years. Published theories for the mechanisms driving the freshening include: reduced transport of saltier, warmer surface waters northwards from the subtropics associated with reduced meridional overturning; shifts in the pathways of fresher, cooler surface water from the Labrador Sea driven by changing patterns of wind stress; and the eastward expansion of the subpolar gyre. Using output from a high-resolution hindcast model simulation, we propose that the primary cause of the exceptional freshening and cooling is reduced surface heat loss in the Labrador Sea. Tracking virtual fluid particles in the model backwards from the eastern subpolar North Atlantic between 1990 and 2020 shows the major cause of the freshening and cooling to be an increased outflow of relatively fresh and cold surface waters from the Labrador Sea; with a minor contribution from reduced transport of warmer, saltier surface water northward from the subtropics. The cooling, but not the freshening, produced by these changing proportions of waters of subpolar and subtropical origin is mitigated by reduced along-track heat loss to the atmosphere in the North Atlantic Current. We analyse modelled boundary exchanges and water mass transformation in the Labrador Sea to show that since 2000, while inflows of lighter surface waters remain steady, the increasing output of these waters is due to reduced surface heat loss in the Labrador Sea beginning in the early 2000s. Tracking particles further upstream reveals that the primary source of the increased volume of lighter water transported out of the Labrador Sea is increased recirculation of water, and therefore longer residence times, in the upper 500–1000 m of the subpolar gyre.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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