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Benthic fauna in soft sediments from the Barents and Pechora Seas
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... -
Macrozoobenthos abundance of Franz Josef Land obtained from grab samples coll...
The dataset contains list of macrobenthic taxa collected with grab samples from Franz Josef Land archipelago in Summer-Autumn 2020 and 2021 (Van-Veen or Okean-0.1 benthic grabs... -
Macrozoobenthos wet biomass of Franz Josef Land obtained from grab samples co...
The dataset contains list of macrobenthic taxa collected with grab samples from Franz Josef Land archipelago in Summer-Autumn 2020 and 2021 (Van-Veen or Okean-0.1 benthic grabs... -
Abundance of macrozoobenthic organisms settled in artificial soft sediment at...
This dataset has no description
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Counts of macrozoobenthic organisms settled in artificial soft sediment at Br...
This dataset has no description
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Total wet mass of benthos during Dalniye Zelentsy cruise 90BYC080
This dataset has no description
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Total wet mass of benthos during Dalniye Zelentsy cruise 90BY9270
This dataset has no description
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Total wet mass of benthos during Morskoy Geofizik cruise 9012C360
This dataset has no description
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Total counts of benthos during Dalniye Zelentsy cruise 90BYC080
This dataset has no description
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Total counts of benthos during Dalniye Zelentsy cruise 90BY9270
This dataset has no description
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Total counts of benthos during Morskoy Geofizik cruise 9012C360
This dataset has no description
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Biomass of benthos during Dalniye Zelentsy cruise 90BYC080
This dataset has no description
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Biomass of benthos during Dalniye Zelentsy cruise 90BY9270
This dataset has no description
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Biomass of benthos during Morskoy Geofizik cruise 9012C360
This dataset has no description
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Abundance of benthic infauna in surface sediments from the North Sea sampled ...
Data were provided through and converted from Schlüter, M & Jerosch, K (2009) Digital Atlas of the North Sea, hdl:10013/epic.34893.d001 (pdf 3.7 MB).
