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  • 1
    Publication Date: 2023-03-16
    Description: Data underlying figures 1, 2, 3 and 5. Figure 1: Monthly mass changes of the Greenland Ice Sheet from GRACE/GRACE-FO and SMB-D (2003-2019) Figure 2: Biennial mass balance and its components from GRACE/GRACE-FO and SMB-D (2003-2018) for the Greenland Ice Sheet, along with regional estimates for 2017-2018 for East and West. Figure 3: Rate of mass change for year 2019 from GRACE/GRACE-FO and SMB-D Figure 5: Annual mass balance and its main components from SMB-D (1948-2019) and GRACE/GRACE-FO (2003-2019)
    Keywords: GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; REKLIM; sea-level rise; surface mass balance
    Type: Dataset
    Format: application/zip, 6 datasets
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  • 2
    Publication Date: 2023-03-16
    Keywords: Accumulation rate; Comment; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass balance; Mass balance, error; Meltwater runoff; REKLIM; sea-level rise; surface mass balance; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 112 data points
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  • 3
    Publication Date: 2023-03-16
    Keywords: Accumulation rate; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass balance; Meltwater runoff; REKLIM; sea-level rise; surface mass balance; Time coverage
    Type: Dataset
    Format: text/tab-separated-values, 308 data points
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  • 4
    Publication Date: 2023-03-16
    Keywords: DATE/TIME; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass change, monthly, relative; Mass change, standard error; REKLIM; sea-level rise; surface mass balance; Time in years
    Type: Dataset
    Format: text/tab-separated-values, 897 data points
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  • 5
    Publication Date: 2023-03-16
    Keywords: DATE/TIME; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass change; Mass change, error; Month; REKLIM; sea-level rise; surface mass balance
    Type: Dataset
    Format: text/tab-separated-values, 92 data points
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  • 6
    Publication Date: 2023-03-16
    Keywords: Comment; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass change; Mass change, error; REKLIM; sea-level rise; surface mass balance; Year of observation
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 7
    Publication Date: 2023-03-16
    Keywords: DATE/TIME; GRACE; GRACE-FO; Greenland; Helmholtz-Verbund Regionale Klimaänderungen = Helmholtz Climate Initiative (Regional Climate Change); ice dynamic discharge; ice sheet mass balance; Mass change, monthly, relative; REKLIM; sea-level rise; surface mass balance; Time in years
    Type: Dataset
    Format: text/tab-separated-values, 432 data points
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  • 8
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    PANGAEA
    In:  Supplement to: Rietbroek, Roelof; Brunnabend, Sandra-Ester; Kusche, Jürgen; Schröter, Jens; Dahle, Christoph (2016): Revisiting the contemporary sea-level budget on global and regional scales. Proceedings of the National Academy of Sciences, 113(6), 1504-1509, https://doi.org/10.1073/pnas.1519132113
    Publication Date: 2023-01-13
    Description: Dividing the sea-level budget into contributions from ice sheets and glaciers, the water cycle, steric expansion, and crustal movement is challenging, especially on regional scales. Here, Gravity Recovery And Climate Experiment (GRACE) gravity observations and sea-level anomalies from altimetry are used in a joint inversion, ensuring a consistent decomposition of the global and regional sea-level rise budget. Over the years 2002-2014, we find a global mean steric trend of 1.38 ± 0.16 mm/y, compared with a total trend of 2.74 ± 0.58 mm/y. This is significantly larger than steric trends derived from in situ temperature/salinity profiles and models which range from 0.66 ± 0.2 to 0.94 ± 0.1 mm/y. Mass contributions from ice sheets and glaciers (1.37 ± 0.09 mm/y, accelerating with 0.03 ± 0.02 mm/y**2) are offset by a negative hydrological component (-0.29 ± 0.26 mm/y). The combined mass rate (1.08 ± 0.3 mm/y) is smaller than previous GRACE estimates (up to 2 mm/y), but it is consistent with the sum of individual contributions (ice sheets, glaciers, and hydrology) found in literature. The altimetric sea-level budget is closed by coestimating a remaining component of 0.22 ± 0.26 mm/y. Well above average sea-level rise is found regionally near the Philippines (14.7 ± 4.39 mm/y) and Indonesia (8.3 ± 4.7 mm/y) which is dominated by steric components (11.2 ± 3.58 mm/y and 6.4 ± 3.18 mm/y, respectively). In contrast, in the central and Eastern part of the Pacific, negative steric trends (down to -2.8 ± 1.53 mm/y) are detected. Significant regional components are found, up to 5.3 ± 2.6 mm/y in the northwest Atlantic, which are likely due to ocean bottom pressure variations.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 25 data points
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  • 9
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    PANGAEA
    In:  SINTEF Petroleum Research | Supplement to: Eigestad, Geir Terje; Dahle, Helge K; Hellevang, Bjarte; Riis, Fridtjof; Johansen, Wenche Tjelta; Øian, Erlend (2009): Geological modeling and simulation of CO2 injection in the Johansen formation. http://www.sintef.no/globalassets/upload/ikt/9011/simoslo/matmora/papers/johansen_final_ver1.pdf (final draft, pdf 10 MB), Computational Geosciences, 13, 435, https://doi.org/10.1007/s10596-009-9153-y
    Publication Date: 2023-05-12
    Description: The Johansen formation is a candidate site for large-scale CO2 storage offshore of the south-western coast of Norway. An overview of the geology for the Johansen formation and neighboring geological formations is given, together with a discussion of issues for geological and geophysical modelling and integrated fluid flow modelling. We further describe corresponding simulation models. Major issues to consider are capacity estimation and processes that could potentially cause CO2 to leak out of the Johansen formation and into the formations above. Currently, these issues can only be investigated through numerical simulation. We consider the effect of different boundary conditions, sensitivity with respect to vertical grid refinement and permeability/transmisibility data, and the effect of residual gas saturations, since these strongly affect the CO2-plume distribution. The geological study of the Johansen formation is performed based on available seismic and well data. Fluid simulations are performed using a commercial simulator capable of modelling CO2 flow and transport by simple manipulation of input files and data. We provide details for the data and the model, with a particular focus on geology and geometry for the Johansen formation. The data set is made available for download online.
    Keywords: ECO2; Sub-seabed CO2 Storage: Impact on Marine Ecosystems
    Type: Dataset
    Format: unknown
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  • 10
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    Unknown
    PANGAEA
    In:  Supplement to: Andrade, Hector; Renaud, Paul E; Wlodarska-Kowalczuk, Maria; Pardus, Joanna; Carroll, Michael L; Cochrane, Sabine K J; Dahle, Salve; Palerud, Rune (2017): Benthic fauna in soft sediments from the Barents and Pechora Seas. Metadata and database from Akvaplan-niva AS research expeditions, from 1992-2005. Akvaplan-niva Rapport, APN-6770-001, 14 pp, hdl:10013/epic.51439.d001
    Publication Date: 2023-12-13
    Description: Benthic infaunal abundance data from 138 stations in the Barents Sea and surrounding waters are provided in a public database. All samples were collected with a 0.1 m2 van Veen grab and identification was carried out by professional taxonomists. Most abundance data are presented at the species level.
    Keywords: Abietinaria sp.; Abyssoninoe hibernica; Abyssoninoe sp.; Acanthonotozoma cristatum; Acanthonotozoma inflatum; Acanthonotozoma serratum; Acanthonotozoma sp.; Acanthostepheia behringiensis; Acanthostepheia malmgreni; Aceroides latipes; Aceroides sedovi; Acidostoma obesum; Actiniaria indeterminata; Actinia sp.; Actiniidae indeterminata; Admete couthouyi; Admete sp.; Admete viridula; Aeginina longicornis; Aeta sp.; Aglaophamus malmgreni; Alcyonacea indeterminata; Alcyonidium disciforme; Alcyonidium excavatum; Alcyonidium gelatinosum; Alcyonidium gelatinosum andessoni; Alcyonidium mamillatum; Alcyonidium mytili; Alcyonidium protoseideum; Alcyonidium radicellatum; Alcyonidium sp.; Allia sp.; Alvania jeffreysi; Alvania moerchi; Alvania scrobiculata; Alvania sp.; Alvania viridula; Alvania wyvillethomsoni; Amaeana trilobata; Amage auricula; Amauropsis islandica; Ampelisca eschrichtii; Ampelisca macrocephala; Ampelisca sp.; Ampeliscidae indeterminata; Ampharete acutifrons; Ampharete baltica; Ampharete borealis; Ampharete finmarchica; Ampharete goesi; Ampharete lindstroemi; Ampharete sp.; Ampharete vega; Ampharetidae indeterminata; Amphiblestrum auritum; Amphiblestrum septentrionalis; Amphiblestrum solidum; Amphicteis gunneri; Amphicteis ninonae; Amphicteis sundevalli; Amphictene auricoma; Amphilochidae indeterminata; Amphilochus manudens; Amphilochus sp.; Amphipholis torelli; Amphipoda indeterminata; Amphiporidae indeterminata; Amphitrite cirrata; Amphitrite groenlandica; Amphitritinae indeterminata; Amphiura sp.; Amphiura sundevalli; Ampithoe sp.; Anasca spp.; Anatoma crispata; Anobothrus gracilis; Anonyx laticoxae; Anonyx lilljeborgii; Anonyx nugax; Anonyx sarsi; Anonyx sp.; Anopla indeterminata; Antalis entalis; Antalis sp.; Anthozoa indeterminata; Antinoella badia; Antinoella sp.; Aoridae indeterminata; Aphelochaeta marioni; Aphelochaeta sp.; Apherusa sarsii; Aphroditidae indeterminata; Apistobranchus sp.; Apistobranchus tullbergi; Aplacophora spp.; Apomatus sp.; Apseudidae indeterminata; Arachnidium simplex; Arctic_sta1; Arctic_sta10; Arctic_sta11; Arctic_sta118; Arctic_sta119; Arctic_sta12; Arctic_sta122; Arctic_sta128; Arctic_sta13; Arctic_sta133; Arctic_sta135; Arctic_sta140; Arctic_sta141; Arctic_sta145; Arctic_sta148; Arctic_sta15; Arctic_sta151; Arctic_sta159; Arctic_sta16; Arctic_sta161; Arctic_sta162; Arctic_sta163; Arctic_sta17; Arctic_sta171; Arctic_sta174; Arctic_sta178; Arctic_sta18; Arctic_sta21; Arctic_sta22; Arctic_sta24; Arctic_sta26; Arctic_sta28; Arctic_sta29; Arctic_sta31; Arctic_sta32; Arctic_sta34; Arctic_sta4; Arctic_sta45; Arctic_sta47; Arctic_sta48; Arctic_sta5; Arctic_sta50; Arctic_sta5191; Arctic_sta5192; Arctic_sta5193; Arctic_sta52; Arctic_sta54; Arctic_sta5531; Arctic_sta5532; Arctic_sta5533; Arctic_sta5534; Arctic_sta5535; Arctic_sta5536; Arctic_sta5537; Arctic_sta5538; Arctic_sta56; Arctic_sta57; Arctic_sta58; Arctic_sta6; Arctic_sta617; Arctic_sta618; Arctic_sta619; Arctic_sta620; Arctic_sta621; Arctic_sta622; Arctic_sta623; Arctic_sta624; Arctic_sta625; Arctic_sta626; Arctic_sta627; Arctic_sta628; Arctic_sta629; Arctic_sta630; Arctic_sta65; Arctic_sta7; Arctic_sta8; Arctic_sta811; Arctic_sta812; Arctic_sta813; Arctic_sta814; Arctic_sta815; Arctic_sta816; Arctic_sta817; Arctic_sta818; Arctic_sta819; Arctic_sta820; Arctic_sta821; Arctic_sta822; Arctic_sta823; Arctic_sta824; Arctic_sta9; Arctic_staBS1; Arctic_staBS10; Arctic_staBS11; Arctic_staBS12; Arctic_staBS13; Arctic_staBS14; Arctic_staBS15; Arctic_staBS16; Arctic_staBS17; Arctic_staBS18; Arctic_staBS19; Arctic_staBS2; Arctic_staBS20; Arctic_staBS21; Arctic_staBS22; Arctic_staBS23; Arctic_staBS24; Arctic_staBS25; Arctic_staBS26; Arctic_staBS27; Arctic_staBS28; Arctic_staBS29; Arctic_staBS3; Arctic_staBS30; Arctic_staBS31; Arctic_staBS32; Arctic_staBS33; Arctic_staBS34; Arctic_staBS35; Arctic_staBS36; Arctic_staBS37; Arctic_staBS38; Arctic_staBS39; Arctic_staBS4; Arctic_staBS40; Arctic_staBS41; Arctic_staBS42; Arctic_staBS43; Arctic_staBS44; Arctic_staBS45; Arctic_staBS46; Arctic_staBS47; Arctic_staBS5; Arctic_staBS6; Arctic_staBS7; Arctic_staBS8; Arctic_staBS9; Arctica islandica; Arctinula greenlandica; Arctolembos arcticus; Arctonula arctica; Argissa hamatipes; Ariadnaria borealis; Aricidea catherinae; Aricidea hartmani; Aricidea nolani; Aricidea quadrilobata; Aricidea sp.; Arrhinopsis longicornis; Arrhis phyllonyx; Arrhis phyllonyx arcticus; Artacama proboscidea; Ascidiacea indeterminata; Ascidia sp.; Asellota indeterminata; Astarte borealis; Astarte crebricostata; Astarte crenata; Astarte elliptica; Astarte montagui; Astarte sp.; Astarte sulcata; Astartidae indeterminata; Asterias rubens; Asteroidea indeterminata; Astrorhiza limicola; Asychis biceps; Athecata indeterminata; Atylus carinatus; Atylus smittii; Atylus sp.; Augeneria algida; Autolytus sp.; Axinopsida orbiculata; Axionice flexuosa; Axionice maculata; Axiothella sp.; Balanidae indeterminata; Balanus balanus; Balanus crenatus; Balanus sp.; Barents Sea; Bathyarca frielei; Bathyarca glacialis; Bathyarca pectunculoides; Bathyarca sp.; Bispira crassicornis; Bivalvia; Boltenia echinata; Boreonymphon robustum; Boreotrofon sp.; Boreotrophon truncatus; Bowerbankia arctica; Bowerbankia caudata; Bowerbankia imbricata; Bowerbankia sp.; Brachiopoda indeterminata; Brachydiastylis resima; Brachyura indeterminata; Brada granulosa; Brada inhabilis; Brada rugosa; Brada sp.; Brada villosa; Branchiomma arcticum; Branchiomma bombyx; Branchiomma infarctum; Branchiomma sp.; Brisaster fragilis; Brookesena turrita; Bryozoa indeterminata; Buccinidae indeterminata; Buccinum cyaneum; Buccinum glaciale; Buccinum sp.; Buccinum undatum; Buffonellaria biaperta; Buffonellaria divergens; Bugula elongata; Bugula fastigiata; Bugula harmsworthi; Bugula purpurotincta; Bushiella (Jungaria) quadrangularis; Byblis arcticus; Byblis erythrops; Byblis gaimardi; Byblis longicornis; Byblis minuticornis; Byblis sp.; Bylgides elegans; Bylgides groenlandicus; Bylgides promamme; Bylgides sarsi; Bylgides sp.; Caecognathia elongata; Calanoida indeterminata; Calathura brachiata; Calliopiidae indeterminata; Calliopius laeviusculus; Callopora craticula; Callopora lata; Callopora lineata; Callopora obesa; Callopora smitti; Callopora sp.; Callopora whiteavesi; Campanularia volubilis; Campylaspis costata; Campylaspis glabra; Campylaspis horrida; Campylaspis rubicunda; Campylaspis sp.; Campylaspis stephenseni; Campylaspis sulcata; Campylaspis umbensis; Capitella capitata; Capitella sp.; Capitellidae indeterminata; Capnella florida; Capnella glomerata; Caprellidae indeterminata; Cardiidae indeterminata; Carinina sp.; Carinoma sp.; Caudofoveata indeterminata; Cauloramphopus spiniferum; Cellepora nodulosa; Cellepora pumicosa; Cellepora sp.; Celleporella hyalina; Celleporina incrassata; Celleporina sp.; Celleporina surcularis; Celleporina ventricosa; Ceradocus torelli; Cerebratulus longifissus; Cerebratulus sp.; Cerianthus lloydii; Cerianthus sp.; Cerithiella metula; Chaetoderma intermedium; Chaetoderma nitidulum; Chaetoderma sp.; Chaetonymphon sp.; Chaetozone setosa; Chaetozone sp.; Chartella membranaceotruncata; Cheilopora sincera; Cheiloporina sincera; Cheiloporina sp.; Cheilostomatida indeterminata; Chirimia biceps; Chironomidae indeterminata; Chitinopoma serrula; Chlamys islandica; Chlamys sp.; Chone analis; Chone duneri; Chone filicaudata; Chone infundibuliformis; Chone murmanica; Chone paucibranchiata; Chone perseyi; Chone sp.; Ciliatocardium ciliatum; Cingula globosus; Cingula sp.; Circeis armoricana; Circeis spirillum; Cirratulidae indeterminata; Cirratulus caudatus; Cirratulus cirratus; Cirratulus sp.; Cirripedia indeterminata; Cirrophorus branchiatus; Cirrophorus furcatus; Cistenides hyperborea; Clavodorum sp.; Clinocardium ciliatum; Clione limacina; Clymenura borealis; Clymenura polaris; Clymenura sp.; Cnemidocarpa rhizopus; Cnidaria indeterminata; Colus sabini; Colus sp.; Copepoda indeterminata; Corophiidae indeterminata; Corophium bonnellii; Corophium
    Type: Dataset
    Format: text/tab-separated-values, 190164 data points
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