Sum of Dataset Indices for all datasets
Average Dataset Index per dataset
Total datasets for this author
Average FAIR Score per dataset
Total citations to the author's datasets
Total mentions of the author's datasets
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
Current S-Index: 4543.1 (sum of 184 datasets Dataset Index scores)
More information here.
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 1018 individuals from the five sampling dates in 2011.
Authors
In preparation for a forthcoming monitoring project, a shallow subtidal area in the northern Wadden Sea was studied for macrozoobenthos >1 mm sieve size. Using a Reineck-type box-corer of 0.02 m² surface area, abundance and specific composition were evaluated from a sampling grid of 21 positions with two replicates each. Temporarily, sampling was repeated 9 times. Analyses of spatial and temporal variability revealed that within-site variability was far lower than between-site variability. As a consequence, the later monitoring project was based on a higher number of study sites at the cost of within-site replication.
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Authors
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.
Authors
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.
Authors
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.
Authors
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 253 individuals from the 2016 sampling.
Authors