Automated Author ProfileEriksen, Marcus
Eriksen, Marcus
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
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:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 9.9 (sum of 9 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Data files of the data of microplastic raw (i.e. non-standardised) microplastic observations from Figure S1 of the Van Sebille et al (2015, Environmental Research Letters, doi:10.1088/1748-9326/10/12/124006) paper
Authors
- van Sebille, Erik ;
- Wilcox, Chris ;
- lebreton, laurent ;
- Maximenko, Nikolai ;
- Denise Hardesty, Britta ;
- A van Franeker, Jan ;
- Eriksen, Marcus ;
- Siegel, David ;
- Galgani, François ;
- Law, Kara Lavender
This dataset of floating plastics in the global ocean extends 40 years from 1979 to 2019.
Authors
- Moore, Charles ;
- erdle, lisa ;
- Eriksen, Marcus ;
- Villarubia, Patricia ;
- Cowger, Win ;
- Wilcox, Christopher ;
- Thiel, Martin
This dataset of floating plastics in the global ocean extends 40 years from 1979 to 2019.
Authors
- Eriksen, Marcus ;
- Villarubia, Patricia ;
- Cowger, Win ;
- Wilcox, Christopher ;
- Thiel, Martin ;
- Moore, Charles ;
- erdle, lisa
Data files of the data of microplastic raw (i.e. non-standardised) microplastic observations from Figure S1 of the Van Sebille et al (2015, Environmental Research Letters, doi:10.1088/1748-9326/10/12/124006) paper
Authors
- van Sebille, Erik ;
- Wilcox, Chris ;
- lebreton, laurent ;
- Maximenko, Nikolai ;
- Denise Hardesty, Britta ;
- A van Franeker, Jan ;
- Eriksen, Marcus ;
- Siegel, David ;
- Galgani, François ;
- Law, Kara Lavender
Data files of the data of microplastic abundance and mass from Figure 3 of the Van Sebille et al (2015, Environmental Research Letters, doi:10.1088/1748-9326/10/12/124006) paperFigure 3a: maximenkomodel_abundance.csvFigure 3b: maximenkomodel_mass.csvFigure 3c: lebretonmodel_abundance.csvFigure 3d: lebretonmodel_mass.csvFigure 3e: vansebillemodel_abundance.csvFigure 3f: vansebillemodel_mass.csvAll these data sets are in either #/km2 or in g/km2. Use the area.csv (units in km2/gridcell) file to convert to #/gridcell or g/gridcell.
Longitudes (in degrees E) and latitudes of the cell centres are also available for download; note that due to interpolation issues there are values for both 0E and 360E, in the first and last column of the mass and abundance files respectively. Sum these to get the distribution at 0E.
Authors
- Sebille, Erik Van ;
- Wilcox, Chris ;
- Lebreton, Laurent ;
- Meximenko, Nikolai ;
- Hardesty, Britta Denise ;
- Franeker, Jan A Van ;
- Eriksen, Marcus ;
- Siegel, David ;
- Francois Galgani ;
- Law, Kara Lavender
Data files of the data of microplastic abundance and mass from Figure 3 of the Van Sebille et al (2015, Environmental Research Letters, doi:10.1088/1748-9326/10/12/124006) paperFigure 3a: maximenkomodel_abundance.csvFigure 3b: maximenkomodel_mass.csvFigure 3c: lebretonmodel_abundance.csvFigure 3d: lebretonmodel_mass.csvFigure 3e: vansebillemodel_abundance.csvFigure 3f: vansebillemodel_mass.csvMetadata about lon, lat and area are also available
Authors
- Sebille, Erik Van ;
- Wilcox, Chris ;
- Lebreton, Laurent ;
- Meximenko, Nikolai ;
- Hardesty, Britta Denise ;
- Franeker, Jan A Van ;
- Eriksen, Marcus ;
- Siegel, David ;
- Francois Galgani ;
- Law, Kara Lavender
Data files of the data of microplastic abundance and mass from Figure 3 of the Van Sebille et al (2015, Environmental Research Letters, doi:10.1088/1748-9326/10/12/124006) paperFigure 3a: maximenkomodel_abundance.csvFigure 3b: maximenkomodel_mass.csvFigure 3c: lebretonmodel_abundance.csvFigure 3d: lebretonmodel_mass.csvFigure 3e: vansebillemodel_abundance.csvFigure 3f: vansebillemodel_mass.csvAll these data sets are in either #/km2 or in g/km2. Use the area.csv (units in km2/gridcell) file to convert to #/gridcell or g/gridcell.
Longitudes (in degrees E) and latitudes of the cell centres are also available for download; note that due to interpolation issues there are values for both 0E and 360E, in the first and last column of the mass and abundance files respectively. Sum these to get the distribution at 0E.
Authors
- Sebille, Erik Van ;
- Wilcox, Chris ;
- Lebreton, Laurent ;
- Meximenko, Nikolai ;
- Hardesty, Britta Denise ;
- Franeker, Jan A Van ;
- Eriksen, Marcus ;
- Siegel, David ;
- Francois Galgani ;
- Law, Kara Lavender
This is a global dataset of 1571 locations where surface manta tows were conducted. Samples were divided into 4 size categories. Weights and particle counts were recoreded for each category.
Authors
- Eriksen, Marcus
This is a global dataset of 1571 locations where surface manta tows were conducted. Samples were divided into 4 size categories. Weights and particle counts were recoreded for each category.
Authors
- Eriksen, Marcus