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Abundance and biomass of the benthic infauna of the North Sea (1992)

Künitzer, Anita ; Basford, D J ; Craeymeersch, Johan A ; [et al.]

PANGAEA

In: Supplement to: Aldridge, John N; Bergman, Magda J N; Bolam, T; Craeymeersch, Johan A; Degraer, Steven; Duineveld, Gerard C A; Eggleton, J D; Goethals, P; Hillewaert, H; Irion, G; Kershaw, P J; Kröncke, Ingrid; Lavaleye, Marc; Mason, Claire; Rachor, Eike; Rees, H L; Reiss, Henning; Rumohr, Heye; Schratzberger, M; Smith, R; Vanden Berghe, E; van Hoey, G; Vincx, Magda; Willems, W (2007): Structure and dynamics of the North Sea benthos. Ices Cooperative Research Report-Rapport des Recherches Collectives, 288, 265 pp, hdl:10013/epic.34479.d001

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Publication Date: 2023-08-05

Description: In 1986 participants of the Benthos Ecology Working Group of ICES conducted a synoptic mapping of the infauna of the southern and central North Sea. Together with a mapping of the infauna of the northern North Sea by Eleftheriou and Basford (1989, doi:10.1017/S0025315400049158) this provides the database for the description of the benthic infauna of the whole North Sea in this paper. Division of the infauna into assemblages by TWINSPAN analysis separated northern assemblages from southern assemblages along the 70 m depth contour. Assemblages were further separated by the 30, 50 m and 100 m depth contour as well as by the sediment type. In addition to widely distributed species, cold water species do not occur further south than the northern edge of the Dogger Bank, which corresponds to the 50 m depth contour. Warm water species were not found north of the 100 m depth contour. Some species occur on all types of sediment but most are restricted to a special sediment and therefore these species are limited in their distribution. The factors structuring species distributions and assemblages seem to be temperature, the influence of different water masses, e.g. Atlantic water, the type of sediment and the food supply to the benthos.

Keywords: ICES 100; ICES 110; ICES 118; ICES 125; ICES 126; ICES 127; ICES 128; ICES 129; ICES 130; ICES 131; ICES 137; ICES 138; ICES 139; ICES 140; ICES 141; ICES 147; ICES 148; ICES 149; ICES 150; ICES 151; ICES 152; ICES 158; ICES 159; ICES 160; ICES 161; ICES 162; ICES 163; ICES 168; ICES 169; ICES 170; ICES 171; ICES 172; ICES 173; ICES 55; ICES 63; ICES 72; ICES 81; ICES 90; MarGIS_DANS_Label: ICES8586BSe_8; North Sea; van Veen Grab; VGRAB; VH1486; VH1486_055; VH1486_063; VH1486_072; VH1486_081; VH1486_090; VH1486_100; VH1486_110; VH1486_118; VH1486_125; VH1486_126; VH1486_127; VH1486_128; VH1486_129; VH1486_130; VH1486_131; VH1486_137; VH1486_138; VH1486_139; VH1486_140; VH1486_141; VH1486_147; VH1486_148; VH1486_149; VH1486_150; VH1486_151; VH1486_152; VH1486_158; VH1486_159; VH1486_160; VH1486_161; VH1486_162; VH1486_163; VH1486_168; VH1486_169; VH1486_170; VH1486_171; VH1486_172; VH1486_173; Victor Hensen; xxxVH1486_091; xxxVH1486_101; xxxVH1486_111; xxxVH1486_124; xxxVH1486_165; xxxVH1486_175; xxxVH1486_177; xxxVH1486_179; xxxVH1486_181; xxxVH1486_184; xxxVH1486_186; xxxVH1486_189; xxxVH1486_192; xxxVH1486_194; xxxVH1486_196; xxxVH1486_199; xxxVH1486_201; xxxVH1486_202; xxxVH1486_205; xxxVH1486_208; xxxVH1486_209; xxxVH1486_210; xxxVH1486_212; xxxVH1486_215; xxxVH1486_217; xxxVH1486_220; xxxVH1486_221; xxxVH1486_222; xxxVH1486_223; xxxVH1486_226; xxxVH1486_227; xxxVH1486_230; xxxVH1486_233; xxxVH1486_234; xxxVH1486_235

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Format: application/zip, 2 datasets

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Abundance of the benthic infauna of the North Sea sampled during Victor Hensen cruise VH1486 (1992)

Künitzer, Anita ; Basford, D J ; Craeymeersch, Johan A ; [et al.]

PANGAEA

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Publication Date: 2023-08-05

Keywords: Abra alba; Abra nitida; Abra prismatica; Acanthocardia echinata; Acidostoma obesum; Acidostoma sarsi; Acrenhydrosoma perplexum; Acrocnida brachiata; Acteon tornatilis; Ameira brevipes; Ameira parvula; Ameira pusilla; Ameira sp.; Ameiropsis brevicornis; Ameiropsis mixta; Ampelisca brevicornis; Ampelisca diadema; Ampelisca macrocephala; Ampelisca spinipes; Ampelisca tenuicornis; Ampelisca typica; Ampharete; Ampharete baltica; Ampharete falcata; Ampharete finmarchica; Amphicteis gunneri; Amphictene auricoma; Amphitrite cirrata; Amphiura chiajei; Amphiura filiformis; Anaitides; Anaitides groenlandica; Anaitides longipes; Anaitides mucosa; Anaitides rosea; Anobothrus gracilis; Antalis entalis; Anthozoa; Antinoella sarsi; Aonides paucibranchiata; Aoridae; Apherusa ovalipes; Aphrodita aculeata; Arctica islandica; Arenocaris bifida; Arenosetella germanica; Arenosetella sp.; Aricidea catherinae; Aricidea cerrutii; Aricidea simonae; Armina loveni; Ascidiacea; Asellopsis intermedia; Astarte sulcata; Bathyporeia elegans; Bathyporeia tenuipes; Brachyura; Brada villosa; Bradya scotti; Bradya typica; Brissopsis lyrifera; Bulbamphiascus imus; Bulbamphiascus sp.; Byblis gaimardi; Callianassa subterranea; Campylaspis glabra; Campylaspis rubicunda; Canuella perplexa; Capitellidae; Chaetoderma nitidulum; Chaetoparia nilssoni; Chaetopterus variopedatus; Chaetozone setosa; Chamelea gallina; Cheirocratus intermedius; Cirratulus cirratus; Cletodes limicola; Cletodes longicaudatus; Cletodes pusillus; Cletodes sp.; Cletodes tenuipes; Cletodidae sp.; Cnidaria; Cochlodesma praetenue; Colus gracilis; Copepoda; Corbula gibba; Corophium crassicorne; Corystes cassivelaunus; Counting; Curveulima macrophthalmica; Cylichna cylindracea; Dactylopusia tisboides; Danielssenia typica; Date/Time of event; DEPTH, sediment/rock; Diastylis boecki; Diastylis bradyi; Diastylis laevis; Diastylis lucifera; Diastylis rathkei; Diplocirrus glaucus; Ditrupa arietina; Dosinia exoleta; Dyopedos monacanthus; Echinocardium cordatum; Echinocardium flavescens; Echinocyamus pusillus; Echiurus echiurus; Eclysippe vanelli; Ectinosoma melaniceps; Ectinosoma normani; Ectinosoma sp.; Ectinosoma tenuipes; Enhydrosoma buchholtzi; Enhydrosoma sp.; Enipo kinbergi; Enteropneusta; Epitonium trevelyanum; Ericthonius difformis; Eriopisa elongata; Eteone flava; Eteone foliosa; Eteone longa; Euclymene; Euclymene droebachiensis; Eudorella emarginata; Eudorella truncatula; Eudorellopsis deformis; Eulima bilineata; Eumida sanguinea; Eusyllis blomstrandi; Euterpina acutifrons; Evansula pygmaea; Event label; Exogone hebes; Exogone verugera; Fabulina fabula; Facelina bostoniensis; Gammaropsis nitida; Gari fervensis; Gastrotricha; Gattyana cirrosa; Glycera; Glycera alba; Glycera celtica; Glycera lapidum; Glycera rouxi; Glycera tridactyla; Glycinde nordmanni; Goniada maculata; Goniada norvegica; Halectinosoma gothiceps; Halectinosoma herdmani; Halectinosoma propinquum; Halectinosoma sarsi; Halectinosoma sp.; Haloschizopera bulbifera; Haloschizopera pygmaea; Haploops tubicola; Harmothoe; Harmothoe antilopes; Harmothoe castanea; Harmothoe glabra; Harmothoe impar; Harmothoe lunulata; Harmothoe mcintoshi; Harpinia antennaria; Harpinia crenulata; Hastigerella sp.; Hemilamprops rosea; Heteroclymene robusta; Heterolaophonte sp.; Heterolaophonte stroemi; Hippomedon denticulatus; Holothurioidea; Hyala vitrea; Hyalinoecia tubicola; Hyas coarctatus; Hydroides norvegica; Hydrozoa; ICES 100; ICES 109; ICES 110; ICES 118; ICES 119; ICES 120; ICES 125; ICES 126; ICES 127; ICES 128; ICES 129; ICES 130; ICES 131; ICES 137; ICES 138; ICES 139; ICES 140; ICES 141; ICES 142; ICES 143; ICES 147; ICES 148; ICES 149; ICES 150; ICES 151; ICES 152; ICES 153; ICES 158; ICES 159; ICES 160; ICES 161; ICES 162; ICES 163; ICES 168; ICES 169; ICES 170; ICES 171; ICES 172; ICES 173; ICES 55; ICES 63; ICES 72; ICES 81; ICES 90; ICES 99; Idyanthe pusilla; Idyella exigua; Idyella major; Idyella pallidula; Idyellopsis typica; Interleptomesochra eulittoralis; Interleptomesochra tenuicornis; Iphimedia obesa; Isopoda; Kinorhyncha; Lagis koreni; Langerhansia cornuta; Lanice conchilega; Laonice cirrata; Laophonte cornuta; Laophonte inornata; Laophonte longicaudata; Latitude of event; Leptastacus laticaudatus; Leptastacus sp.; Leucothoe lilljeborgi; Levinsenia gracilis; Liocarcinus holsatus; Longipedia coronata; Longipedia helgolandica; Longipedia scotti; Longitude of event; Lucinoma borealis; Lumbrineris; Lumbrineris fragilis; Lumbrineris hibernica; Lumbrineris latreilli; Lumbrineris tetraura; Lunatia montagui; Lunatia poliana; Lysilla loveni; Mactra stultorum; Magelona; Magelona alleni; Maldane sarsi; Maldanidae; MarGIS_DANS_Label: ICES8586BSe_8; Megamphopus cornutus; Microphthalmus; Minuspio cirrifera; Molgula; Montacuta substriata; Mya truncata; Myriochele; Mysella bidentata; Nebalia bipes; Nematoda; Nemertea; Neomenia carinata; Nephtys; Nephtys caeca; Nephtys hombergii; Nephtys incisa; Nephtys longosetosa; Nereimyra punctata; Nereiphylla; Nereis zonata; Nicomache; Nicomache lumbricalis; North Sea; Nothria conchylega; Notomastus latericeus; Nucula nitidosa; Nuculoma tenuis; Nyctiphanes couchi; Ophelia borealis; Ophelina acuminata; Ophiodromus flexuosus; Ophiura affinis; Ophiura albida; Ophiura ophiura; Orbinia sertulata; Ostracoda; Owenia fusiformis; Paphia rhomboides; Paralaophonte congenera; Paraleptastacus espinulatus; Paraleptastacus holsaticus; Paraleptastacus spinicauda; Paramphiascoides vararensis; Paramphiascopsis longirostris; Paramphinome jeffreysii; Paramphitrite tetrabranchia; Paranannopus sp.; Parapleustes bicuspis; Parvicardium minimum; Phaxas pellucidus; Philine quadrata; Philine scabra; Philomedes globosus; Pholoe; Phoronis; Photis longicaudata; Photis reinhardi; Phoxocephalus holbolli; Phtisica marina; Pisione remota; Poecilochaetus serpens; Polychaeta; Polydora caulleryi; Polydora ciliata; Polynoidae; Polyphysia crassa; Pontocrates; Pontocrates longimanus; Praxillella affinis; Praxillura longissima; Priapulida; Prionospio malmgreni; Proameira hiddensoensis; Proameira sp.; Protomedeia fasciata; Psammotopa phyllosetosa; Pseudameira crassicornis; Pseudameira perplexa; Pseudameira sp.; Pseudamphiascopsis herdmani; Pseudobradya pulchella; Pseudobradya sp.; Pseudocuma simile; Pseudolaophonte spinosa; Pseudomesochra longifurcata; Pseudomesochra sp.; Pseudonychocamptus proximus; Pseudopolydora cf. pauchibranchiata; Pseudopolydora pulchra; Pseudosarsameira exilis; Pseudotachidius coronatus; Rhodine gracilior; Sabellidae; Sample code/label; Samytha sexcirrata; Sarsameira parva; Sarsameira sp.; Saxicavella jeffreysi; Scalibregma inflatum; Scolelepis bonnieri; Scolelepis tridentata; Scoloplos armiger; Scopelocheirus hopei; Sicameira leptoderma; Siphonoecetes striatus; Sipunculida indeterminata; Spatangus purpureus; Sphaerodorum flavum; Spiochaetopterus typicus; Spio filicornis; Spio mecznikowianus; Spiophanes bombyx; Spiophanes kroeyeri; Spisula subtruncata; Stenhelia aemula; Stenhelia gibba; Stenhelia sp.; Stenothoe monoculoides; Sthenelais limicola; Streblosoma bairdi; Stylicletodes longicaudatus; Synelmis klatti; Tachidiella minuta; Tachidiella sp.; Tachidiopsis cyclopoides; Tanaidacea; Tardigrada; Tellimya ferruginosa; Terebellides stroemii; Tharyx; Thelepus cincinnatus; Thracia phaseolina; Thyasira; Thyasira ferruginea; Timoclea ovata; Tiron spiniferum; Tisbe sp.; Tmetonyx cicada; Travisia forbesii; Trichobranchus roseus; Tridonta montagui; Tritonia hombergii; Tryphosites longipes; Turbellaria; Turbonilla crenata; Turritella communis; Typhlamphiascus confusus; Typhlamphiascus gracilis; Unciola planipes; Urothoe elegans; van Veen Grab; VGRAB; VH1486; VH1486_055; VH1486_063; VH1486_072; VH1486_081; VH1486_090; VH1486_099; VH1486_100; VH1486_109; VH1486_110; VH1486_118; VH1486_119; VH1486_120; VH1486_125; VH1486_126; VH1486_127; VH1486_128; VH1486_129; VH1486_130; VH1486_131; VH1486_137; VH1486_138; VH1486_139; VH1486_140; VH1486_141; VH1486_142;

Type: Dataset

Format: text/tab-separated-values, 27432 data points

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Ash free biomass of the benthic infauna of the North Sea sampled during Victor Hensen cruise VH1486 (1992)

Künitzer, Anita ; Basford, D J ; Craeymeersch, Johan A ; [et al.]

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Publication Date: 2024-04-20

Keywords: Biomass, ash free dry mass per area; Date/Time of event; DEPTH, sediment/rock; Event label; ICES 100; ICES 110; ICES 118; ICES 125; ICES 126; ICES 127; ICES 128; ICES 129; ICES 130; ICES 131; ICES 137; ICES 138; ICES 139; ICES 140; ICES 141; ICES 147; ICES 148; ICES 149; ICES 150; ICES 151; ICES 152; ICES 158; ICES 159; ICES 160; ICES 161; ICES 162; ICES 163; ICES 168; ICES 169; ICES 170; ICES 171; ICES 172; ICES 173; ICES 55; ICES 63; ICES 72; ICES 81; ICES 90; Latitude of event; Longitude of event; MarGIS_DANS_Label: ICES8586BSe_8; North Sea; van Veen Grab; VGRAB; VH1486; VH1486_055; VH1486_063; VH1486_072; VH1486_081; VH1486_090; VH1486_100; VH1486_110; VH1486_118; VH1486_125; VH1486_126; VH1486_127; VH1486_128; VH1486_129; VH1486_130; VH1486_131; VH1486_137; VH1486_138; VH1486_139; VH1486_140; VH1486_141; VH1486_147; VH1486_148; VH1486_149; VH1486_150; VH1486_151; VH1486_152; VH1486_158; VH1486_159; VH1486_160; VH1486_161; VH1486_162; VH1486_163; VH1486_168; VH1486_169; VH1486_170; VH1486_171; VH1486_172; VH1486_173; Victor Hensen

Type: Dataset

Format: text/tab-separated-values, 158 data points

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4

Electronic Resource

Studies on the reproductive cycles of Cardium edule and C. glaucum (1974)

Kingston, P. F.

Springer

Marine biology 28 (1974), S. 317-323

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ISSN: 1432-1793

Source: Springer Online Journal Archives 1860-2000

Topics: Biology

Notes: Abstract Two allopatric populations of Cardium edule and two of C. glaucum were sampled over a period of 16 months and their gonad maturity cycles compared by histological methods. The onset of both spermatogenesis and oogenesis in C. edule took place between September and October; in C. glaucum it was slightly later, between October and November. Development of the gonads continued slowly throughout the winter, C. glaucum developing marginally faster than C. edule. Maturation accelerated in April and May, with the gonads of both species becoming fully ripe in late May and early June. Spawning of the two species approximately coincided at all the localities investigated. Spawning in C. edule was better coordinated than in C. glaucum. Transplanting cockles of one species to the typical habitat of the other did not appreciably alter the spawning period. The separation of spawning periods in sympatric associations of the two cockles is discussed.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00388500

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Electronic Resource

Interspecific Hybridization in Cardium (1973)

KINGSTON, P.

[s.l.] : Nature Publishing Group

Nature 243 (1973), S. 360-360

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ISSN: 1476-4687

Source: Nature Archives 1869 - 2009

Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics

Notes: [Auszug] Galtsoff and Smith2 wre able to cross-fertilize two oyster species, Crassostrea virginica and Crassostrea gigas, and obtained what appeared to be normal, healthy veliger larvae. Davis3 also successfully cross-fertilized these two species of Crassostrea, but although the larvae appeared normal and ...

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1038/243360a0

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Electronic Resource

Dispersion stability of alumina-wollastonite aqueous suspensions (1992)

Bryden, R. ; Konsztowicz, K. J. ; Caley, W. F. ; [et al.]

Springer

Journal of materials science 11 (1992), S. 1633-1635

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ISSN: 1573-4811

Source: Springer Online Journal Archives 1860-2000

Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1007/BF00740856

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7

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Assessing evidence for random assembly of marine benthic communities from regional species pools (2009)

Somerfield, P. J. ; Arvanitidis, C. ; Faulwetter, S. ; [et al.]

In: EPIC3Marine Ecology Progress Series 382:, pp. 279-286

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Publication Date: 2019-07-17

Description: Local species diversity may be determined by processes operating locally, such as disturbance, predation and competition, or by regional processes, such as environmental structuring or history. Classical theory focusing on competition predicts that the species combining to form communities will be less similar to each other than they would be if they were assembled at random from a regional species pool. Theory focusing on environmental structuring predicts that species will be more similar to each other than expected by chance. A randomisation test that determines the extent to which local species lists represent random selections from a regional list, based on the average relatedness between species, was applied to data held in the MacroBen database. Little or no evidence was found for species lists of whole faunas at any scale being random subsets of species lists at larger scales. Species tend to be more closely related to each other than would be expected if they were assembled at random. Thus marine soft-sediment macrofauna are not locally assembled at random from regional species pools and it is likely that regional processes determine the assembly of communities. Focusing on the most abundant class within the macrofauna, a different pattern emerges, in that there is a much stronger tendency for local polychaete composition to be a random subset from regional pools at all scales. Thus it is not possible to determine whether local polychaete diversity is independent of both local and regional processes, or determined by a combination of both acting antagonistically.

Repository Name: EPIC Alfred Wegener Institut

Type: Article , isiRev

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Comparison of the performances of two biotic indices based on the MacroBen database (2009)

Grémare, A. ; Labrune, C. ; Vanden Berghe, E. ; [et al.]

In: EPIC3Marine Ecology Progress Series 382:, pp. 297-311

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Publication Date: 2019-07-17

Description: The pan-European MacroBen database was used to compare the AZTI Marine Biotic Index (AMBI) and the Benthic Quality Index (BQIES), 2 biotic indices which rely on 2 distinct assessments of species sensitivity/tolerance (i.e. AMBI EG and BQI E[S50]0.05) and which up to now have only been compared on restricted data sets. A total of 12 409 stations were selected from the database. This subset (indicator database) was later divided into 4 marine and 1 estuarine subareas. We computed E(S50)0.05 in 643 taxa, which accounted for 91.8% of the total abundances in the whole marine indicator database. AMBI EG and E(S50)0.05 correlated poorly. Marked heterogeneities in E(S50)0.05 between the marine and estuarine North Sea and between the 4 marine subareas suggest that sensitivity/tolerance levels vary among geographical areas. High values of AMBI were always associated with low values of BQIES, which underlines the coherence of these 2 indices in identifying stations with a bad ecological status (ES). Conversely, low values of AMBI were sometimes associated with low values of BQIES resulting in the attribution of a good ES by AMBI and a bad ES by BQIES.This was caused by the dominance of species classified as sensitive by AMBI and tolerant by BQIES. Some of these species are known to be sensitive to natural disturbance, which highlights the tendency of BQIES to automatically classify dominant species as tolerant. Both indices thus present weaknesses in their way of assessing sensitivity/tolerance levels (i.e. existence of a single sensitivity/tolerance list for AMBI and the tight relationship between dominance and tolerance for BQIES). Future studies should focus on the (1) clarification of the sensitivity/tolerance levels of the species identified as problematic, and (2) assessment of the relationships between AMBI EG and E(S50)0.05 within and between combinations of geographical areas and habitats.

Repository Name: EPIC Alfred Wegener Institut

Type: Article , isiRev

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MacroBen integrated database on benthic invertebrates of European continental shelves: a tool for large-scale analysis across Europe (2009)

Vanden Berghe, E. ; Claus, S. ; Appeltans, W. ; [et al.]

In: EPIC3Marine Ecology Progress Series 382:, pp. 225-238

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Publication Date: 2019-07-17

Description: We describe an integrated database on European macrobenthic fauna, developed within the framework of the European Network of Excellence MarBEF, and the data and data integration exercise that provided its content. A total of 44 datasets including 465 354 distribution records from soft-bottom macrobenthic species were uploaded into the relational MacroBen database, corresponding to 22 897 sampled stations from all European seas, and 7203 valid taxa. All taxonomic names were linked to the European Register of Marine Species, which was used as the taxonomic reference to standardise spelling and harmonise synonymy. An interface was created, allowing the user to explore, subselect, export and analyse the data by calculating different indices. Although the sampling techniques and intended use of the datasets varied tremendously, the integrated database proved to be robust, and an important tool for studying and understanding large-scale long-term distributions and abundances of marine benthic life. Crucial in the process was the willingness and the positive data-sharing attitude of the different data contributors. Development of a data policy that is highly aware of sensitivities and ownership issues of data providers was essential in the creation of this goodwill.

Repository Name: EPIC Alfred Wegener Institut

Type: Article , isiRev

Format: application/pdf

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