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  • 2020-2024  (30)
  • 2024  (7)
  • 2023  (5)
  • 2022  (9)
  • 2021  (9)
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  • 2024  (7)
  • 2023  (5)
  • 2022  (9)
  • 2021  (9)
  • 2020  (3)
  • 1
    Online Resource
    Online Resource
    Impacts of plastic pollution in the ocean on marine species, biodiversity an ecosystems : study (2022)
    Berlin : WWF Germany
    Details Availability
    Keywords: Kunststoffabfall ; Meeresverschmutzung ; Artensterben
    Description / Table of Contents: Herausgeberinfo: A new report commissioned by WWF provides the most comprehensive account to date of the extent of plastic pollution in the world's oceans. comprehensive account of the extent of plastic pollution in the oceans. oceans, its impact on marine species and ecosystems, and how these trends are and the likely development of these trends in the future.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (221 Seiten) , Illustrationen
    ISBN: 9783946211464
    URL: http://dx.doi.org/10.5281/zenodo.5898684
    DOI: 10.5281/zenodo.5898684
    Language: English
    Location Call Number Limitation Availability
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  • 2
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    Impacts of plastic pollution in the oceans on marine species, biodiversity and ecosystems (2022)
    WWW Germany
    Details
    Publication Date: 2024-02-07
    Description: A new report commissioned by WWF provides the most comprehensive account to date of the extent to which plastic pollution is affecting the global ocean, the impacts it’s having on marine species and ecosystems, and how these trends are likely to develop in future. The report by researchers from the Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research (AWI) reveals a serious and rapidly worsening situation that demands immediate and concerted international action: ● Today almost every species group in the ocean has encountered plastic pollution, with scientists observing negative effects in almost 90% of assessed species. ● Not only has plastic pollution entered the marine food web, it is significantly affecting the productivity of some of the world’s most important marine ecosystems like coral reefs and mangroves. ● Several key global regions – including areas in the Mediterranean, the East China and Yellow Seas and Arctic sea ice – have already exceeded plastic pollution thresholds beyond which significant ecological risks can occur, and several more regions are expected to follow suit in the coming years. ● If all plastic pollution inputs stopped today, marine microplastic levels would still more than double by 2050 – and some scenarios project a 50-fold increase by 2100.
    Type: Book , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Book
  • 3
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    World Ocean Review : The Ocean, Guarantor of Life – Sustainable Use, Effective Protection (2021)
    Maribus
    Details
    Publication Date: 2024-03-14
    Description: The seventh edition of the »World Ocean Review« focuses on the effects of climate change on the physics of the ocean and on its biotic communities; the consequences of fishing, shipping, resource extraction, energy production, and marine pollution; and the questions of how active substances from the ocean can be used and how the ocean can be managed in the future in such a way that both its protection and the participation of as many people as possible in its services and goods are ensured.
    Type: Book , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Book
  • 4
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    World ocean review: Lebensgarant Ozean – nachhaltig nutzen, wirksam schützen (2021)
    Maribus
    Details
    Publication Date: 2024-03-14
    Description: Im Fokus der siebten Ausgabe des »World Ocean Review« stehen die Auswirkungen des Klimawandels auf die Physik des Meeres und auf seine Lebensgemeinschaften; die Folgen von Fischerei, Schifffahrt, Ressourcenabbau, Energiegewinnung und Meeresverschmutzung sowie die Fragen, wie sich Wirkstoffe aus dem Meer nutzen lassen und wie der Ozean künftig so verwaltet werden kann, dass sowohl sein Schutz als auch die Teilhabe möglichst aller Menschen an seinen Leistungen und Gütern gewährleistet sind.
    Type: Book , NonPeerReviewed
    Format: text
    Location Call Number Limitation Availability
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    OceanRep: Book
  • 5
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    Rafting assemblages on pelagic Sargassum and floating marine debris from the Sargasso Sea (2021)
    PANGAEA
    Details
    Publication Date: 2023-06-01
    Description: Pelagic Sargassum and floating marine debris were collected in the Sargasso Sea (subtropical NW Atlantic) during the cruise MSM41 of the German research vessel Maria S. Merian in April 2015. Flotsam items were collected with a dip net (mesh size: 1 mm) from the rescue boat of the research vessel at 19 stations distributed in coordination with the other sampling activities of the cruise. Few, mostly larger, debris samples were taken from aboard the research vessel using a dip net with a mesh size of 9 cm. The exact sampling position of each floating item was recorded by a handheld GPS. All mobile epifaunal organisms were carefully washed down from the flotsam items with freshwater and retrieved in a sieve with a mesh size of 250 µm. The species were identified and the individuals counted. Each Sargassum thallus was inspected under a stereo microscope to identify the attached sessile epifaunal species. Sessile species were not quantified. The marine debris items or sub-samples thereof (in case of large bulky items) were preserved in buffered formalin-seawater solution. The sessile epifauna on the debris items was analyzed after the cruise in the laboratories of the Alfred Wegener Institute in Bremerhaven, Germany. Each Sargassum clump was blotted on tissue paper to remove adherent seawater and weighed. The sizes of the debris items were measured to calculate the surface area.
    Keywords: Comment; DATE/TIME; epibiota; Event label; floating marine debris; LATITUDE; LITTER; Litter Survey; LONGITUDE; Maria S. Merian; Mobility; MSM41; MSM41_litter-A; MSM41_litter-B; MSM41_litter-C; MSM41_litter-D; MSM41_litter-E; MSM41_litter-F; MSM41_litter-G; MSM41_litter-G1; MSM41_litter-H; MSM41_litter-I; MSM41_litter-J; MSM41_litter-K; MSM41_litter-M; MSM41_litter-N; MSM41_litter-O; MSM41_litter-P; MSM41_litter-Q; MSM41_litter-S; MSM41_litter-U; MSM41_litter-V; pollution; rafting; Rafting species; Sample ID; Sargasso Sea; Sargassum community; South Atlantic Ocean; Station label; Substratum; Substratum category; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 8362 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Biomass records of infauna from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2011) of the German research vessel RV HEINCKE. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Keywords: Area/locality; Biomass, wet mass; Counts; DATE/TIME; DEPTH, water; Event label; Gear; HE296; HE296/865-1; HE296/865-2; HE296/865-3; HE296/866-2; HE296/866-3; HE296/866-4; HE296/867-2; HE296/867-3; HE296/867-4; HE296/868-1; HE296/868-2; HE296/868-3; HE296/903-1; HE296/903-2; HE296/904-1; HE296/905-1; HE296/905-2; HE296/905-4; HE296/906-2; HE296/906-3; HE296/906-4; HE296/907-2; HE296/907-3; HE296/907-4; HE296/908-2; HE296/908-3; HE296/908-4; HE296/912-1; HE296/912-3; HE296/912-4; HE296/913-1; HE296/913-3; HE296/913-4; HE296/914-1; HE296/914-3; HE296/914-4; HE296/915-2; HE296/915-3; HE296/915-4; HE296/916-2; HE296/916-3; HE296/916-4; HE296/917-1; HE296/917-2; HE296/917-3; HE296/918-1; HE296/918-2; HE296/918-4; HE296/919-1; HE296/919-3; HE296/919-4; HE296/920-1; HE296/920-2; HE296/920-3; HE296/921-1; HE296/921-3; HE296/921-4; HE296/923-1; HE296/923-2; HE296/923-3; HE296/924-1; HE296/924-2; HE296/924-3; HE296/925-1; HE296/925-2; HE296/925-3; HE296/926-1; HE296/926-3; HE296/926-4; HE296/927-2; HE296/927-3; HE296/927-4; HE296/928-1; HE296/928-3; HE296/928-4; HE296/929-1; HE296/929-2; HE296/929-3; HE296/930-1; HE296/930-2; HE296/930-3; HE296/931-1; HE296/931-2; HE296/931-3; HE296/932-1; HE296/932-3; HE296/932-4; HE296/933-1; HE296/933-2; HE296/933-4; HE296/934-1; HE296/934-2; HE296/934-3; HE296/935-1; HE296/935-2; HE296/935-4; HE296/936-1; HE296/936-2; HE296/936-3; HE296/949-1; HE296/949-2; HE296/949-3; HE296/950-1; HE296/950-2; HE296/950-4; HE296/951-1; HE296/951-3; HE296/951-4; HE296/952-1; HE296/952-3; HE296/952-4; HE296/953-1; HE296/953-2; HE296/953-3; HE296/954-1; HE296/954-2; HE296/954-3; HE296/955-1; HE296/955-2; HE296/955-4; HE296/956-1; HE296/956-2; HE296/956-3; HE296/965-1; HE296/965-2; HE296/965-3; HE296/992-1; HE296/992-3; HE296/992-4; HE296/993-2; HE296/993-3; HE296/993-4; HE313; HE313/916-2; HE313/916-3; HE313/916-4; HE313/917-2; HE313/917-3; HE313/917-4; HE313/918-2; HE313/918-3; HE313/918-4; HE313/919-2; HE313/919-3; HE313/919-4; HE313/920-2; HE313/920-3; HE313/920-4; HE313/921-1; HE313/921-4; HE313/922-2; HE313/922-3; HE313/922-4; HE313/923-2; HE313/923-3; HE313/923-4; HE313/924-2; HE313/924-3; HE313/924-4; HE313/925-2; HE313/925-3; HE313/925-4; HE313/926-2; HE313/926-3; HE313/926-4; HE313/927-2; HE313/927-3; HE313/927-4; HE313/928-2; HE313/928-3; HE313/928-4; HE313/929-2; HE313/929-3; HE313/929-4; HE313/930-2; HE313/930-3; HE313/930-4; HE313/931-2; HE313/931-3; HE313/931-4; HE313/932-2; HE313/932-3; HE313/932-4; HE313/933-2; HE313/933-3; HE313/933-4; HE313/934-2; HE313/934-3; HE313/934-4; HE313/935-2; HE313/935-3; HE313/935-4; HE313/936-2; HE313/936-3; HE313/936-4; HE313/941-2; HE313/941-3; HE313/941-4; HE313/942-2; HE313/942-3; HE313/942-4; HE313/943-2; HE313/943-3; HE313/943-4; HE313/944-2; HE313/944-3; HE313/944-4; HE313/945-2; HE313/945-3; HE313/945-4; HE313/946-2; HE313/946-3; HE313/946-4; HE313/947-2; HE313/947-3; HE313/947-4; HE313/948-2; HE313/948-3; HE313/948-4; HE313/955-2; HE313/955-3; HE313/955-4; HE313/956-2; HE313/956-3; HE313/956-4; HE313/957-2; HE313/957-3; HE313/957-4; HE313/958-2; HE313/958-3; HE313/958-4; HE313/959-2; HE313/959-3; HE313/959-4; HE313/960-2; HE313/960-3; HE313/960-4; HE313/961-2; HE313/961-3; HE313/961-4; HE313/962-2; HE313/962-3; HE313/962-4; HE313/963-2; HE313/963-3; HE313/963-4; HE313/964-2; HE313/964-3; HE313/964-4; HE313/965-2; HE313/965-3; HE313/965-4; HE313/966-2; HE313/966-3; HE313/966-4; HE313/967-2; HE313/967-3; HE313/967-4; HE313/968-2; HE313/968-3; HE313/968-4; HE313/969-2; HE313/969-3; HE313/969-4; HE340; HE340/03-2; HE340/03-3; HE340/03-4; HE340/04-2; HE340/04-3; HE340/04-4; HE340/05-2; HE340/05-3; HE340/05-4; HE340/06-2; HE340/06-3; HE340/06-4; HE340/07-2; HE340/07-3; HE340/07-4; HE340/08-2; HE340/08-3; HE340/08-4; HE340/09-2; HE340/09-3; HE340/09-4; HE340/10-2; HE340/10-3; HE340/10-4; HE340/11-2; HE340/11-3; HE340/11-4; HE340/12-2; HE340/12-3; HE340/12-4; HE340/13-2; HE340/13-3; HE340/13-4; HE340/14-2; HE340/14-3; HE340/14-4; HE340/15-2; HE340/15-3; HE340/15-4; HE340/16-2; HE340/16-3; HE340/16-4; HE340/17-2; HE340/17-3; HE340/17-4; HE340/18-2; HE340/18-3; HE340/18-4; HE340/19-2; HE340/19-3; HE340/19-4; HE340/20-2; HE340/20-3; HE340/20-4; HE340/21-2; HE340/21-3; HE340/21-4; HE340/22-2; HE340/22-3; HE340/22-4; HE340/23-2; HE340/23-3; HE340/23-4; HE340/24-2; HE340/24-3; HE340/24-4; HE340/25-2; HE340/25-3; HE340/25-4; HE340/26-2; HE340/26-3; HE340/26-4; HE340/27-2; HE340/27-3; HE340/27-4; HE340/47-2; HE340/47-3; HE340/47-4; HE340/48-2; HE340/48-3; HE340/48-4; HE340/49-2; HE340/49-3; HE340/49-4; HE340/50-2; HE340/50-3; HE340/50-4; HE340/51-2; HE340/51-3; HE340/51-4; HE340/56-2; HE340/56-3; HE340/56-4; HE340/57-2; HE340/57-3; HE340/57-4; HE340/58-2; HE340/58-3; HE340/58-4; HE340/59-2; HE340/59-3; HE340/59-4; HE340/60-2; HE340/60-3; HE340/60-4; HE340/61-2; HE340/61-3; HE340/61-4; HE340/62-2; HE340/62-3; HE340/62-4; HE340/63-2; HE340/63-3; HE340/63-4; HE340/64-2; HE340/64-3; HE340/64-4; HE340/65-2; HE340/65-3; HE340/65-4; HE340/66-2; HE340/66-3; HE340/66-4; HE340/67-2; HE340/67-3; HE340/67-4; HE340/73-2; HE340/73-3; HE340/73-4; HE340/74-2; HE340/74-3; HE340/74-4; HE369; HE369/001-2; HE369/001-3; HE369/001-4; HE369/002-1; HE369/003-1; HE369/004-1; HE369/005-1; HE369/006-1; HE369/007-1; HE369/008-1; HE369/009-1; HE369/010-1; HE369/011-1; HE369/012-1; HE369/015-1; HE369/016-1; HE369/017-1; HE369/018-1; HE369/023-2; HE369/023-3; HE369/023-4; HE369/024-1; HE369/025-1; HE369/026-1; HE369/027-1; HE369/028-1; HE369/029-1; HE369/030-1; HE369/031-1; HE369/032-1; HE369/033-1; HE369/034-1; HE369/035-1; HE369/036-1; HE369/058-1; HE369/059-1; HE369/060-1; HE369/061-1; HE369/062-1; HE369/063-1; HE369/064-1; HE369/065-1; HE369/066-1; HE369/067-1; HE369/068-1; HE369/069-1; HE369/070-1; HE369/071-1; Heincke; LATITUDE; LONGITUDE; North Sea; Penetration depth; Project; Replicate; Scientific name; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 90465 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 7
    facet.materialart.
    Unknown
    Sediment characteristics from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2011) of the German research vessel RV HEINCKE. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Keywords: Area/locality; Campaign; DATE/TIME; Event label; HE296; HE296/865-1; HE296/866-1; HE296/867-1; HE296/868-1; HE296/904-1; HE296/905-1; HE296/906-1; HE296/907-1; HE296/908-1; HE296/912-1; HE296/913-1; HE296/914-1; HE296/915-1; HE296/916-1; HE296/917-1; HE296/918-1; HE296/919-1; HE296/920-1; HE296/921-1; HE296/923-1; HE296/924-1; HE296/925-1; HE296/926-1; HE296/927-1; HE296/928-1; HE296/929-2; HE296/930-1; HE296/931-1; HE296/932-1; HE296/933-1; HE296/934-1; HE296/935-1; HE296/936-1; HE296/949-1; HE296/950-1; HE296/951-1; HE296/952-3; HE296/953-1; HE296/954-1; HE296/955-1; HE296/956-2; HE296/965-1; HE296/992-1; HE296/993-1; HE313; HE313/916-1; HE313/917-1; HE313/918-1; HE313/919-1; HE313/920-1; HE313/921-1; HE313/922-1; HE313/924-1; HE313/925-1; HE313/926-1; HE313/927-1; HE313/928-1; HE313/929-1; HE313/930-1; HE313/931-1; HE313/932-1; HE313/933-1; HE313/934-1; HE313/935-1; HE313/936-1; HE313/941-1; HE313/942-1; HE313/943-1; HE313/944-1; HE313/945-1; HE313/946-1; HE313/947-1; HE313/948-1; HE313/955-1; HE313/956-1; HE313/957-1; HE313/958-1; HE313/959-1; HE313/960-1; HE313/961-1; HE313/962-1; HE313/963-1; HE313/964-1; HE313/965-1; HE313/966-1; HE313/967-1; HE313/968-1; HE313/969-1; HE340; HE340/03-1; HE340/04-1; HE340/05-1; HE340/06-1; HE340/07-1; HE340/08-1; HE340/09-1; HE340/10-1; HE340/11-1; HE340/12-1; HE340/13-1; HE340/14-1; HE340/15-1; HE340/16-1; HE340/17-1; HE340/18-1; HE340/19-1; HE340/20-1; HE340/21-1; HE340/22-1; HE340/23-1; HE340/24-1; HE340/25-1; HE340/26-1; HE340/27-1; HE340/47-1; HE340/48-1; HE340/49-1; HE340/50-1; HE340/51-1; HE340/56-1; HE340/57-1; HE340/58-1; HE340/59-1; HE340/60-1; HE340/61-1; HE340/62-1; HE340/63-1; HE340/64-1; HE340/65-1; HE340/66-1; HE340/67-1; HE340/73-1; HE340/74-1; HE369; HE369/001-1; HE369/002-1; HE369/003-1; HE369/004-1; HE369/005-1; HE369/006-1; HE369/007-1; HE369/008-1; HE369/009-1; HE369/010-1; HE369/011-1; HE369/012-1; HE369/015-1; HE369/016-1; HE369/017-1; HE369/018-1; HE369/023-1; HE369/024-1; HE369/025-1; HE369/026-1; HE369/027-1; HE369/028-1; HE369/029-1; HE369/030-1; HE369/031-1; HE369/032-1; HE369/033-1; HE369/034-1; HE369/035-1; HE369/036-1; HE369/058-1; HE369/059-1; HE369/060-1; HE369/061-1; HE369/062-1; HE369/063-1; HE369/064-1; HE369/065-1; HE369/066-1; HE369/067-1; HE369/068-1; HE369/069-1; HE369/070-1; HE369/071-1; Heincke; LATITUDE; LONGITUDE; Loss on ignition; mesh sieved; North Sea; Project; Replicate; Sample mass; Sample method; Size fraction 〈 0.063 mm, mud, silt+clay; Size fraction 〉 0.063 mm, sand; Size fraction 〉 0.125 mm; Size fraction 〉 0.250 mm; Size fraction 〉 0.500 mm, gravel; Size fraction 〉 1 mm, gravel; Size fraction 〉 2 mm, gravel; Station label; van Veen Grab; VGRAB
    Type: Dataset
    Format: text/tab-separated-values, 2640 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 8
    facet.materialart.
    Unknown
    Count and biomass records of infauna and sediment characteristics from grab samples at the alpha ventus offshore wind farm (North Sea), 2008 - 2011 (2022)
    PANGAEA
    Details
    Publication Date: 2024-01-16
    Description: Data on infauna and sediment characteristics were collected as part of an extensive research program on the effects of offshore wind turbines on the marine environment funded by the German Federal Maritime and Hydrographic Agency. The investigations were performed in the first German offshore wind farm alpha ventus in the German Bight (North Sea). The overall aim of the program was to evaluate the German national standard concept for environmental impact assessments for offshore wind farms. Specifically, our study addressed the potential changes of the infauna communities in different distances from single turbines in an early stage of the operational phase of the wind farm. The data were collected during the cruises HE296 (2008), HE313 (2009), HE340 (2010) and HE369 (2000) of the German research vessel RV Heincke. Infauna samples were taken with van Veen grab samples (sampling area: 0.1 m2, weight: 95 kg) inside the wind farm and in two reference sites outside the wind farm. Three replicate samples were taken at each station. The samples were sieved through a 1 mm mesh and species of the macro-infauna were determined to the lowest taxonomic level possible. Sub-samples of the sediments were fractionated in a cascade of sieves of different mesh sizes to determine the grain size distributions. The organic contents of the sediments were determined as weight loss on ignition. The dataset comprises 11,400 count and biomass records for 103 infaunal taxa (89 % on species level, 11 % others) from 528 samples. Sediments were characterised for 176 van Veen grabs.
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
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    Unknown
    Abundance and biomass of macrofauna in the German Bight from 2012 to 2015 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: The long-term ecological research benthic monitoring comprises four representative permanent stations (SSd, Slt, FSd and WB) that have been sampled countinuously since 1969. The four stations are representative for the different benthic communities in the German Bight. Inter-annual variability and possible long-term trends were analysed based on spring-time samples since 1969. Earlier datasets have been published in the publication series https://doi.org/10.1594/PANGAEA.667646. Macrozoobenthos of soft-bottom benthic community was collected by van-Veen grabs. This dataset contains the continuation of this time series with the samples collected in spring between 2012 and 2015 each year in the North Sea, German Bight. Data for each campaign comprise four stations in the German Bight, sampled by grab samples (infauna). Biodiversity data of species include abundance (count data) and biomass (wet mass, g) per sample.
    Keywords: Campaign; Counting; Counts; DATE/TIME; ELEVATION; Event label; Gear; German Bight; HE373; HE373/33-1; HE373/33-2; HE373/33-3; HE373/33-4; HE373/33-5; HE373/34-2; HE373/34-3; HE373/34-4; HE373/34-5; HE373/34-6; HE373/35-1; HE373/35-2; HE373/35-3; HE373/35-4; HE373/35-5; HE373/36-2; HE373/36-3; HE373/36-4; HE373/36-5; HE373/36-6; HE419; HE419/002-2; HE419/002-3; HE419/002-4; HE419/002-6; HE419/002-7; HE419/004-2; HE419/004-4; HE419/004-5; HE419/004-6; HE419/004-7; HE419/026-2; HE419/026-3; HE419/026-4; HE419/026-5; HE419/026-7; HE419/091-1; HE419/091-2; HE419/091-3; HE419/091-4; HE419/091-5; Heincke; LATITUDE; Life stage; LONGITUDE; Long-term monitoring; LTER_Benthos; Macrobenthic long-term series in the German Bight; Macrobenthos; North Sea; Presence/absence; Project; Sample area; Sample code/label; Site; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specification; Station label; UT13.1; UT13.1/001-1; UT13.1/001-2; UT13.1/001-3; UT13.1/001-4; UT13.1/001-5; UT13.1/002-1; UT13.1/002-2; UT13.1/002-3; UT13.1/002-4; UT13.1/002-5; UT13.1/003-1; UT13.1/003-2; UT13.1/003-3; UT13.1/003-4; UT13.1/003-5; UT13.1/004-1; UT13.1/004-2; UT13.1/004-3; UT13.1/004-4; UT13.1/004-5; UT15.1; UT15.1/001-1; UT15.1/001-2; UT15.1/001-3; UT15.1/001-4; UT15.1/001-5; UT15.1/002-1; UT15.1/002-2; UT15.1/002-3; UT15.1/002-4; UT15.1/002-5; UT15.1/003-1; UT15.1/003-2; UT15.1/003-3; UT15.1/003-4; UT15.1/003-5; UT15.1/004-1; UT15.1/004-2; UT15.1/004-3; UT15.1/004-4; UT15.1/004-5; UT15.1/005-1; UT15.1/005-2; UT15.1/005-3; UT15.1/005-4; UT15.1/005-5; Uthörn; van Veen Grab; VGRAB; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 24152 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Unknown
    Abundance and biomass of macrofauna in the German Bight from 2016 to 2019 (2024)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: The long-term ecological research benthic monitoring comprises four representative permanent stations (SSd, Slt, FSd and WB) that have been sampled countinuously since 1969. The four stations are representative for the different benthic communities in the German Bight. Inter-annual variability and possible long-term trends were analysed based on spring-time samples since 1969. Earlier datasets have been published in the publication series https://doi.org/10.1594/PANGAEA.667646. Macrozoobenthos of soft-bottom benthic community was collected by van-Veen grabs. This dataset contains the continuation of this time series with the samples collected in spring between 2016 and 2019 each year in the North Sea, German Bight. Data for each campaign comprise four stations in the German Bight, sampled by grab samples (infauna). Biodiversity data of species include abundance (count data) and biomass (wet mass, g) per sample.
    Keywords: Campaign; Counting; Counts; DATE/TIME; ELEVATION; Event label; Gear; German Bight; HE460; HE460/01-4; HE460/01-5; HE460/01-6; HE460/01-7; HE460/01-8; HE460/08-1; HE460/08-2; HE460/08-4; HE460/08-6; HE460/08-7; HE460/11-1; HE460/11-2; HE460/11-3; HE460/11-4; HE460/11-5; HE460/27-2; HE460/27-3; HE460/27-4; HE460/27-5; HE460/27-6; HE480; HE480/1-3; HE480/1-4; HE480/1-5; HE480/1-7; HE480/1-8; HE480/2-1; HE480/2-2; HE480/2-3; HE480/2-4; HE480/2-6; HE480/33-3; HE480/33-4; HE480/33-5; HE480/33-6; HE480/33-7; HE480/3-4; HE480/3-5; HE480/3-6; HE480/3-7; HE480/3-8; HE505; HE505_37-1; HE505_37-2; HE505_37-3; HE505_37-4; HE505_37-5; HE505_38-3; HE505_38-4; HE505_38-5; HE505_38-6; HE505_38-7; HE505_39-1; HE505_39-2; HE505_39-3; HE505_39-4; HE505_39-5; HE505_73-2; HE505_73-3; HE505_73-6; HE505_73-7; HE505_73-8; HE528; HE528_12-1; HE528_12-2; HE528_12-3; HE528_12-4; HE528_12-5; HE528_3-1; HE528_3-2; HE528_3-3; HE528_3-4; HE528_3-5; HE528_4-1; HE528_4-2; HE528_4-3; HE528_4-4; HE528_4-5; HE528_5-1; HE528_5-2; HE528_5-3; HE528_5-4; HE528_5-5; Heincke; LATITUDE; Life stage; LONGITUDE; Long-term monitoring; LTER_Benthos; Macrobenthic long-term series in the German Bight; Macrobenthos; North Sea; Presence/absence; Project; Sample area; Sample code/label; Site; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Specification; Station label; van Veen Grab; VGRAB; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 27178 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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