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Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2019

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 134 individuals from the 2019 sampling.

Zoobenthos and sediments time series at List Reede, Sylt, Germany, in 2019

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 33 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. This dataset contains the results from the sampling events in 2019.

Zoobenthos and sediments time series at List Reede, Sylt, Germany, 2003 to 2019

A shallow subtidal area in the northern Wadden Sea was monitored over 17 years for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, always during preceeded high tide. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. From 2003 to 2007 sampling was approximatively monthly and from 2008 to 2013 seasonally. When a new ship with larger drought was put into operation, the number of sampling sites needed to be reduced to 33 from 2014 onwards and sampling frequency was only once per year in autumn.

Abundance and biomass of macrofauna in the German Bight from 2016 to 2019

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.

LTER Benthos – German Bight: Long-term ecological research of benthos in the German Bight (2001 et seq)

The long-term ecological research benthic monitoring comprises four representative permanent stations (SSd, Slt, FSd and WB) that have been sampled continuously in spring 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. Macrozoobenthos of soft-bottom benthic community was collected by van-Veen grabs. 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. The data is also available in a PostgreSQL-based data warehouse that can be accessed and queried through an open-access frontend web service at https://critterbase.awi.de/benosis by searching for the data sets "LTER_Benthos". Earlier datasets covering the years 1969-2000 have been published in the publication series https://doi.org/10.1594/PANGAEA.667646.

Zoobenthos and sediments time series at List Reede, Sylt, Germany, in 2018

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 33 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. This dataset contains the results from the sampling events in 2018.

Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2018

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 120 individuals from the 2018 sampling.

Zoobenthos and sediments time series at List Reede, Sylt, Germany, in 2017

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 33 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. This dataset contains the results from the sampling events in 2017.

Size of hard-shelled individuals in the zoobenthos time series at List Reede, Sylt, Germany, in 2017

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 50 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area, macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. This dataset contains the size measurements of 259 individuals from the 2017 sampling.

Zoobenthos and sediments time series at List Reede, Sylt, Germany, in 2016

A shallow subtidal area in the northern Wadden Sea was monitored for sediment parameters and macrobenthic fauna using stratified random sampling of a grid of 33 sampling positions. Samples were collected with a Reineck-type box-corer of 0.02 m² surface area. Granulometric sediment composition was analysed from a sub-sample of each box-core using a diffraction laser particle-size analyser. Macrobenthos (sieved through 1 mm square meshes and fixed in buffered formalin solution) was counted, identified to species level, and the size of hard-shelled individuals measured. The amount of shell detritus was quantified as wet-weight in the benthos samples. This dataset contains the results from the sampling events in 2016.

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