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  • 1
    Publication Date: 2023-02-24
    Description: This dataset contains a model simulation of the environmental conditions close to the sea-floor from January 1948-April 2015. The simulations relies on the coupled physcial-biogeochemical HYCOM-ECOSMO and has been forced by a Global High Resolution Climate Reconstruction (ECHAM6). The dataset is monthly, it consist of temperature, salinity, currents, oxygen, nitrate, phosphate and silicate all interpolated to 1 meter above the sea floor. Additionally the dataset contains gross primary and secondary production integrated over the water column.
    Keywords: Deep-sea Sponge Grounds Ecosystems of the North Atlantic; File content; File format; File name; File size; NorthAtlantic; SponGES; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 55 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-02
    Description: This dataset contains occurrence records (i.e., species name, latitude, longitude, depth (where available), and metadata) for six species of the demosponge genus Geodia Lamarck, 1815, belonging to the Geodiidae family: Geodia atlantica (Stephens, 1915); Geodia barretti Bowerbank, 1858; Geodia macandrewii Bowerbank, 1858; Geodia phlegraei (Sollas, 1880); Geodia hentscheli Cárdenas et al. 2010; and Geodia parva Hansen, 1885. The records fall in the North Atlantic and Arctic Oceans, and are used/described in the linked article by Roberts et al. (2021). Note that the dataset provided has not been subjected to any of the filtering stages applied in that manuscript for the purposes of various novel biogeographical analyses (i.e., it is original and complete), and the taxonomic identifications have been rigorously checked (as described therein). Definitions of institution abbreviations used in the 'Museum Specimen / Picture Information' column of the dataset spreadsheet have been provided in an accompanying table (see Comment field below). Where records are derived from earlier literature sources, full references for citations given in the 'Campaign / Source' column (and further general information on many of the records) may be found in the articles by Cárdenas et al. (2010; 2013) and Cárdenas & Rapp (2015). An earlier version of this dataset may be accessed at the DRYAD repository: Cárdenas P, Rapp HT, Klitgaard AB, Best M, Thollesson M, Tendal OS (2013), Data from: Taxonomy, biogeography and DNA barcodes of Geodia species (Porifera, Demospongiae, Tetractinellida) in the Atlantic boreo-arctic region, Dryad, Dataset, doi:10.5061/dryad.td8sb
    Keywords: 87PA0028; 87PA0067; 87PA0078; 92PA0160002; 92PA0160005; 92PA0160014; 92PA0160028; 92PA0160050; 92PA0160052; 94PA0090001; 94PA0090002; 94PA0090009; 94PA0090010; 94PA0090019; 94PA0090020; 94PA0090026; 94PA0090039; 94PA0090041; 94PA0090043; 94PA0090045; 94PA0090049; 94PA0090062; Agassiz Trawl; AGT; Arctic Ocean; ARK-VII/2; ARK-XXII/1a; Barents Sea; BEAM; Beam trawl; BIODEEP2007_Dredge2; BIODEEP2007_ROV10; BIODEEP2007_ROV9; BIOFAR_St117; BIOFAR_St119; BIOFAR_St120; BIOFAR_St122; BIOFAR_St234; BIOFAR_St279; BIOFAR_St287; BIOFAR_St297; BIOFAR_St298; BIOFAR_St375; BIOFAR_St379; BIOFAR_St389; BIOFAR_St43; BIOFAR_St451; BIOFAR_St452; BIOFAR_St486; BIOFAR_St487; BIOFAR_St498; BIOFAR_St526; BIOFAR_St530; BIOFAR_St531; BIOFAR_St535; BIOFAR_St540; BIOFAR_St550; BIOFAR_St69; BIOFAR_St734; BIOFAR_St756; BIOFAR_St89; BIOFAR_St901; BIOICE_St2022; BIOICE_St2023; BIOICE_St2218; BIOICE_St2292; BIOICE_St2293; BIOICE_St2368; BIOICE_St2374; BIOICE_St2499; BIOICE_St2501; BIOICE_St2516; BIOICE_St2518; BIOICE_St2700; BIOICE_St2728; BIOICE_St2747; BIOICE_St2756; BIOICE_St2768; BIOICE_St2769; BIOICE_St2923; BIOICE_St2926; BIOICE_St2928; BIOICE_St3227; BIOICE_St3659; BIOICE_St3661; BIOSKAG2006_St20; BIOSYS2006_DR182; BIOSYS2006_VG20-1; Blacker1957_11; Blacker1957_130; Blacker1957_131; Blacker1957_14; Blacker1957_16; Blacker1957_164; Blacker1957_165; Blacker1957_168; Blacker1957_20; Blacker1957_21; Blacker1957_22; Blacker1957_24; Blacker1957_25; Blacker1957_27; Blacker1957_28; Blacker1957_33; Blacker1957_35; Blacker1957_36; Blacker1957_44; Blacker1957_45; Blacker1957_46; Blacker1957_53; Blacker1957_55; Blacker1957_56; Blacker1957_60; Blacker1957_61; Blacker1957_62; Blacker1957_68; Blacker1957_75; Blacker1957_8; Blacker1957_80; Blacker1957_81; Blacker1957_84; Blacker1957_9; Blacker1957_94; BMT19; Boury-Esnaultetal1994_CP62; Boury-Esnaultetal1994_CP63; Boury-Esnaultetal1994_CP92; Boury-Esnaultetal1994_CP98; Bowerbank1872a_Vikna; Bowerbank1872aPlateXI_Vikna; Brattholmen_St230407; Breitfuss1930_St1237; Breitfuss1930_St1347; Breitfuss1930_St1385; Burton1934_St548; Burton1959_EIceland; Burton1959_SEIceland; Campaign; CD80_St178; CD80_St18; CD80_St91; CE13008; CE13008_ROV32; CE2008-11_M11GHaul22; CE2008-11_M11GHaul23; Celtic Explorer; Celtic Sea; CENTOBBiogasII_DS33; CGB2011_11c-16-DR01; CGB2011_11c-19-ROV05; CGB2011_11c-30-DR05; CGB2011_11c-31-DR06; Comment; CorSeaCan_B12_CG_ACH_P01_20100809; CorSeaCan_B13_MOI-ACH-P06; CV13012_51; Dana_St6001; Davis Strait; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Depth, bottom/max; Depth, top/min; DEPTH, water; Dyrelivihavet2008_SandsfjordRogaland; E17044_SP17E44001; EBS; EcosystemBarentsSea2007_St2562; Epibenthic sledge; Event label; FRVScotia2012_S12_469; FRVScotia2012_S12/469; FRVScotia2012_S12-469; G. O. Sars (2003); Giant box corer; GKG; Greenland Sea; GS06/112; GS112_BMT19; GS14; GS14-AGT03; GS14-AGT07; GS14-DR02; GS14-DR09; GS14-DR12; H2DEEP2008_ROV5; HakonMosby_St237; HakonMosby_St242; HakonMosby_St245; HakonMosby_St86072701; HakonMosby_St93060602; HakonMosby_St93060612; HakonMosby_St93060613; HakonMosby_St93061106; Hentschel1929_St40; Hentschel1929_St41; Hentschel1929_St42; Howelletal2010_WSC11; Howelletal2010_WSCE10B; Howelletal2010_WSCE3; Howelletal2010_WSCE4; HUD2007-025_DiveR1059; HUD2010-029; HUD2010-029_R1335; HUD2010-029_R1336-07; HUD2010-029_R1339-10; HUD2010-029_R1340-12; HUD2010-029_R1340-4; HUD2010-029_R1341-18; HUD2013/29; HUD2013-029_DS1-I; Hudson; Iceland Sea; Identification; IngolfExpdt_St1; IngolfExpdt_St125; IngolfExpdt_St21; IngolfExpdt_St78; IngolfExpdt_St90; IngolfExpdt_St92; JAGO; Kara Sea; Kingstonetal1979_LabradorCoast; Koltun1964_St1; Koltun1964_St10; Koltun1964_St11; Koltun1964_St26; Koltun1964_St46; Koltun1964_St7; Koltun1964_St8; Koltun1964_St9; Koltun1966_NofFranzJosephLand; Koltun1966_NofKaraSea; Koltun1966_NWofLaptevSea; Labrador Sea; Langenuen_SteinnesetSt31; Laptev Sea; LATITUDE; LONGITUDE; Lundbeck1909_Angmagsalik; Lynch_St1971; Lynch_St1972; Lynch_St1973; Lynch_St721008; Lysefjord_Uksen; M85/3; M85/3_1123; M85/3_1132; M85/3_1136; M85/3_1219; M85/3_1223; MA0200057_St90; MagnusHeinason_St150990; MAR310_St1; Mareano_StR228-12; Mareano_StR262VL282; Mareano_StR828; Mareano_StR863; Mareano2009_StR469VL491; Mareano2011_StR729VL756; Mareano2011_StR731VL759; Mareano2011_StR744VL772; Mareano2011_StR758VL786; MAR-Eco2004_St50-373; MAR-Eco2004_St70_385; MAR-Eco2004_St70-385; MAR-Eco2004_St72-386; MedSeaCan_B7_MG_PO2_20090523; MedSeaCan_B7_PA_ACH_P02_20090519; Meteor (1986); More2005_St46; MULT; Multiple investigations; NEREIDA0609_BC89; NEREIDA0710_BC237; Nereida2009-2010_BC04; Nereida2009-2010_DR04-001; Nereida2009-2010_DR07-025; Nereida2009-2010_DR10; Nereida2009-2010_DR12; Nereida2009-2010_DR18; Nereida2009-2010_DR19; Nereida2009-2010_DR20; Nereida2009-2010_DR22; Nereida2009-2010_DR23; Nereida2009-2010_DR24; Nereida2009-2010_DR3; Nereida2009-2010_DR32; Nereida2009-2010_DR38; Nereida2009-2010_DR4; Nereida2009-2010_DR6; Nereida2009-2010_DR64; Nereida2009-2010_DR66; Nereida2009-2010_DR7; Nereida2009-2010_DR70; Nereida2009-2010_DR70_BOTTOM; Nereida2009-2010_DR74; Nereida2009-2010_DR74_BOTTOM; North Greenland Sea; North Sea; Norwegian Sea; PA2010-009_Set075; PA2010-009_Set104; PA2010-009_Set105; PA2010-009_Set108; PA2010-009_Set109; PA2010-009_Set111; PA2010-009_Set113; PA2010-009_Set114; PA2010-009_Set115; PA2010-009_Set116; PA2010-009_Set126; PA2010-009_Set141; PA2010-009_Set155; PA2010-009_Set156; PA2010-009_Set157; PA2010-009_Set159; PA2010-009_Set160; PA2010-009_Set161; PA2010-009_Set162; PA2010-009_Set163; PA2010-009_Set164; PA2010-009_Set167; PA2010-009_Set168; PAA2011007; PAA2011007_127_39; PAA2011007_225_114; PAA2011007_255_126; PAA2011007_262_128; PAA2011007_533_23; PAA2011007_634_139; PAA2013008; PAA2013008_157_44; PAA2013008_169_46; PAA2013008_174_47; PAA2013008_176_48; PAA2013008_177_50; PAA2013008_302_141; PAA2013008_305_142; PAA2013008_31_10; PAA2014007; PAA2014007_278_125; PAA2014007_286_127; PAA2014007_321_136; PAA2014007_514_152; PAA2015007; PAA2015007_126_32; PAA2015007_289_60; PAA2015007_299_62; PAA2015007_303_64; Paamiut; Polarstern; PS17; PS17/223; PS70; PS70/002-2; PS70/006-1; PS70/014-4; PS70/015-1; PS70/016-1; PS70/027-1; PS70/040-4; RVMichaelSars_St102; RVMichaelSars_St76; RVMichaelSars_St85; S10176_SP10176001; S11073_SP11073001; S11471_SP11471001; S12135_SP12135001; S12444_SP12444001; S12446_SP12446001; S12447; S15A13; S16185_SP16185001; S16379_SP16379003; S16A03_SP16A03017; S16A03_SP16A03029; S16A03_SP16A03039; S16A03_SP16A03041; S18A02; S18A03; Scotland Sea; ShinkaiMaru_St004; ShinkaiMaru_St109; ShinkaiMaru_St110; ShinkaiMaru_St15; ShinkaiMaru_St18; ShinkaiMaru_St1976; ShinkaiMaru_St21; ShinkaiMaru_St26; ShinkaiMaru_St29; ShinkaiMaru_St3; ShinkaiMaru_St32; ShinkaiMaru_St43; ShinkaiMaru_St50; ShinkaiMaru_St63; ShinkaiMaru_St70; ShinkaiMaru_St79; ShinkaiMaru_St9; ShinkaiMaru1987_St104; ShinkaiMaru1987_St67; Skagerrak; South Atlantic Ocean; Species; SponGES; St89SI0240086; Station label; Submersible JAGO; SwedishArcticExp1871_St37; T0406066; T8903301; T8905093; T8905125; T8905127; T8905185; T9405259; T9405264; T9405276; T9405305; T9405315; T9405317; T9406031; T9406032; T9406036; T9406066; ThalassaZ_Z407; ThalassaZ_Z408; Traena Deep; Trollholmflua; Tromso_Haugbernes; Western Basin; WH_St569; WH47566; WH47572; ZoolPolarExp1900_St30
    Type: Dataset
    Format: text/tab-separated-values, 2307 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2022-03-09
    Description: Large solitary meanders are arguably the dominant mode of variability in the Agulhas Current. Observational studies have shown that these large meanders are associated with strong upwelling velocities and affect the shelf circulation for over 100 days per year. Here 10-year time series from two ocean general circulation models are used to create a composite picture of the Agulhas Current and its interactions with the shelf circulation in meandering and nonmeandering modes. Both models show good agreement with the size, propagation speed, and frequency of observed meanders. These composite meanders are then used to examine the response of shelf waters to the onset of large meanders, with the use of model output enabling the dynamics at depth to be explored. Results show a composite mean warming of up to 3°C of depth-averaged temperature along the shelf edge associated with an intrusion of the current jet onto the shelf driven by an intensification of the flow along the leading edge of large meanders. However, this intensification of flow results in cooling of bottom waters, driving cold events at the shelf break of 〈10°C at 100 m. Thus, the intensification of the current jet associated with large meander events appears to drive strong up and downwelling events across the inshore front of the Agulhas Current, facilitating shelf-slope exchange.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2020-11-20
    Description: The Copernicus Marine Environment Monitoring Service (CMEMS) Ocean State Report (OSR) provides an annual report of the state of the global ocean and European regional seas for policy and decision-makers with the additional aim of increasing general public awareness about the status of, and changes in, the marine environment. The CMEMS OSR draws on expert analysis and provides a 3-D view (through reanalysis systems), a view from above (through remote-sensing data) and a direct view of the interior (through in situ measurements) of the global ocean and the European regional seas. The report is based on the unique CMEMS monitoring capabilities of the blue (hydrography, currents), white (sea ice) and green (e.g. Chlorophyll) marine environment. This first issue of the CMEMS OSR provides guidance on Essential Variables, large-scale changes and specific events related to the physical ocean state over the period 1993–2015. Principal findings of this first CMEMS OSR show a significant increase in global and regional sea levels, thermosteric expansion, ocean heat content, sea surface temperature and Antarctic sea ice extent and conversely a decrease in Arctic sea ice extent during the 1993–2015 period. During the year 2015 exceptionally strong large-scale changes were monitored such as, for example, a strong El Niño Southern Oscillation, a high frequency of extreme storms and sea level events in specific regions in addition to areas of high sea level and harmful algae blooms. At the same time, some areas in the Arctic Ocean experienced exceptionally low sea ice extent and temperatures below average were observed in the North Atlantic Ocean.
    Description: Published
    Description: s235–s320
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
    Publication Date: 2015-06-11
    Description: On-going climate warming is causing a dramatic loss of sea-ice in the Arctic Ocean and it is projected that the Arctic Ocean will become seasonally ice-free by 2040. Many studies of local Arctic food webs now exist and with this review paper we aim to synthesize these into a large-scale assessment of the current status of knowledge on the structure of various Arctic marine food webs, and their response to climate change, and to sea-ice retreat in particular. Key drivers of ecosystem change and potential consequences for ecosystem functioning and Arctic marine food webs are identified along the sea-ice gradient with special emphasis on the following regions: seasonally ice free Barents and Chukchi Seas, loose ice pack zone of the Polar Front (PF) and Marginal Ice Zone (MIZ), and permanently sea-ice covered high Arctic. Finally, we identify gaps existing in the knowledge of different Arctic marine food webs and provide recommendations for future studies.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2021-12-23
    Description: Si listano le singole sezioni in cui S.Simoncelli ha contribuito. Ogni sezione puo' essere citata separatamente dal report 1.1 Ocean temperature and salinity S. Mulet, B. Buongiorno Nardelli, S. Good, A. Pisano, E. Greiner, M. Monier E. Autret, L. Axell, F. Boberg, S. Ciliberti, M. Drévillon, R. Droghei, O. Embury, J. Gourrion, J. Høyer, M. Juza, J. Kennedy, B. Lemieux-Dudon, E. Peneva, R. Reid, S. Simoncelli, A. Storto, J. Tinker, K. von Schuckmann, S. L. Wakelin. 2.1. Ocean heat content ..K. von Schuckmann, A. Storto, S. Simoncelli, R. P. Raj, A.Samuelsen, A. de Pascual Collar, M. Garcia Sotillo, T Szerkely, M. Mayer, K. A. Peterson, H. Zuo, G. Garric, M. Monier. 3.4 Water mass formation processes in the Mediterranean Sea over the past 30 years S. Simoncelli, Nadia Pinardi, C. Fratianni, C. Dubois, G. Notarstefano. 3.5 Ventilation of the Western Mediterranean Deep Water through the Strait of Gibraltar S. Sammartino, J. García Lafuente, C. Naranjo, S. Simoncelli. 4.4 Unusual salinity pattern in the South Adriatic Sea in 2016 Z. Kokkini, G. Notarstefano P-M Poulain, E. Mauri, R. Gerin, S. Simoncelli
    Description: The oceans regulate our weather and climate from global to regional scales. They absorb over 90% of accumulated heat in the climate system (IPCC 2013 IPCC. 2013. Climate change 2013: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change [Stocker TF, Qin D, Plattner G-K, Tignor M, Allen SK, Boschung J, Nauels A, Xia Y, Bex V, Midgley PM, editors]. Cambridge: Cambridge University Press, 1535. doi: 10.1017/CBO9781107415324. [Crossref], , [Google Scholar]) and over a quarter of the anthropogenic carbon dioxide (Le Quéré et al. 2016 Le Quéré C, Andrew RM, Canadell JG, Sitch S, Korsbakken JI, Peters GP, Manning AC, Boden TA, Tans PP, Houghton RA, et al. 2016. Global carbon budget 2016. Earth Syst Sci Data. 8( 2): 605– 649. doi: 10.5194/essd-8-605-2016 [Crossref], [Web of Science ®], , [Google Scholar]). They provide nearly half of the world’s oxygen. Most of our rain and drinking water is ultimately regulated by the sea. The oceans provide food and energy and are an important source of the planet's biodiversity and ecosystem services. They are vital conduits for trade and transportation and many economic activities depend on them (OECD 2016 OECD . 2016. The ocean economy in 2030. Paris : OECD Publishing. doi: 10.1787/9789264251724-en. [Crossref], , [Google Scholar]). Our oceans are, however, under threat due to climate change and other human induced activities and it is vital to develop much better, sustainable and science-based reporting and management approaches (UN 2017 UN . 2017. Report of the United Nations conference to support the implementation of sustainable development goal 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development (Advance unedited version). https://sustainabledevelopment.un.org/content/documents/15662FINAL_15_June_2017_RepoRe_Goal_14.pdf . [Google Scholar]). Better management of our oceans requires long-term, continuous and state-of-the art monitoring of the oceans from physics to ecosystems and global to local scales. The Copernicus Marine Environment Monitoring Service (CMEMS) has been set up to address these challenges at European level. Mercator Ocean was tasked in 2014 by the European Union under a delegation agreement to implement the operational phase of the service from 2015 to 2021 (CMEMS 2014 CMEMS . 2014. Technical annex to the delegation agreement with Mercator Ocean for the implementation of the Copernicus Marine Environment Monitoring Service (CMEMS). www.copernicus.eu/sites/default/files/library/CMEM_TechnicalAnnex_PUBLIC.docx.pdf . [Google Scholar]). The CMEMS now provides regular and systematic reference information on the physical state, variability and dynamics of the ocean, ice and marine ecosystems for the global ocean and the European regional seas (Figure 0.1; CMEMS 2016 CMEMS . 2016. High level service evolution strategy, a document prepared by Mercator Ocean with the support of the CMEMS STAC. [Google Scholar]). This capacity encompasses the description of the current situation (analysis), the prediction of the situation 10 days ahead (forecast), and the provision of consistent retrospective data records for recent years (reprocessing and reanalysis). CMEMS provides a sustainable response to European user needs in four areas of benefits: (i) maritime safety, (ii) marine resources, (iii) coastal and marine environment and (iv) weather, seasonal forecast and climate.
    Description: Copernicus Marine Environment Monitoring Service
    Description: Published
    Description: S1-S142
    Description: 4A. Oceanografia e clima
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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