Automated Author Profile

Sailley, Sévrine

Plymouth Marine Laboratory
0000-0003-0401-3506

Current S-Index

1.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

67.3%

Average FAIR Score per dataset

Total Citations

1

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Impact of climate change on key commercial fish species in the northeast Atlantic

The folder Include results from the H2020 project CERES (POLCOM-ERSEM.rar) and runs that were generated for the Copernicus Climate Data Store (http://doi.org/10.24381/cds.39c97304; the catalogue entry is deprecated and data cannot be accessed there anymore).The data were used within the MSPACE project (UK research council) and the FutureMARES H2020 project.Note these are the raw outputs from the SS-DBEM model not the results from analysis done for any of the linked work (past, present, or future)

Authors

  • Sailley, Sevrine
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.182689712026

Impact of climate change on key commercial fish species in the northeast Atlantic

The folder Include results from the H2020 project CERES (POLCOM-ERSEM.rar) and runs that were generated for the Copernicus Climate Data Store (http://doi.org/10.24381/cds.39c97304; the catalogue entry is deprecated and data cannot be accessed there anymore).The data were used within the MSPACE project (UK research council) and the FutureMARES H2020 project.Note these are the raw outputs from the SS-DBEM model not the results from analysis done for any of the linked work (past, present, or future)

Authors

  • Sailley, Sevrine
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.182689702026

Global High Trophic Level

No description available

Authors

  • Andersen, Ken Haste ;
  • Jacobsen, Nis Sand ;
  • Sailley, Sevrine ;
  • Steenbeek, Jeroen
0 Citations0 Mentions54% FAIR0.4 Dataset Index
10.82384/neccton-0192026

North West Shelf High Trophic Level

No description available

Authors

  • Andersen, Ken Haste ;
  • Jacobsen, Nis Sand ;
  • Merillet, Laurene ;
  • Millington, Rebecca ;
  • Powley, Helen ;
  • Sailley, Sevrine
0 Citations0 Mentions54% FAIR0.4 Dataset Index
10.82384/neccton-0202026

Model projection of the effect of climate change and fishing pressure on key species of the South East Asia Seas (Version: 1.0)

The dataset contain Projection from the Size-Spectra Bioclimatic Envelop Model (SS-DBEM), this work was part of the GCRF Blue communities Programme (www.blue-communities.org). The model provides distribution and abundance and/or biomass of fish and other species of commercial interest under climate change and fishing pressure. The model outputs are yearly abundance/biomass on a 0.5-by-0.5 degree grid, covering the period from 2000 to 2098. Further description of the model and relevant references are listed in the following file: Guide-fish-model-output-use.docx The model was run under two climate scenario: RCP4.5 and RCP8.5, with different combinations of fishing pressure expressed as the Maximum Sustainable Yield (MSY) for the following values: 0 (no fishing, climate change alone will cause variation in fish biomass), 1 (sustainable fishing), 2, 3 (overfishing), and, 4 (overfishing with destructive practice). The intent is not to reproduce current fishing level but to provide a range of scenarios with which the future of fisheries can be explored. We projected fish species that were identified as key in the South East Asia seas region by our regional partners.The full list is provided in document: Fish-list-modelguide.xlsx There are 4 zip files that contain the model outputs of in either abundance (number of fish) or biomass grams of fish) for the two climate scenario. For example Biomass-RCP45.zip will contain model outputs in biomass for projections under RCP4.5 and all MSY. within the zip files are .csv files of the outputs for each species under the 5 MSY (0 to 4), the individual file names identify the species (identified by a 6digit code), the output provided (abundance or biomass), the RCP (8.5 or 4.5), and the MSY (0, 1, 2, 3, or 4). For example the file labelled 600107-Abundance-rcp85-msy4.csv contains the outputs for species 600107 (Skipjack tuna, Katsuwonnus pelamis), as abundance, under RCP8.5 with MSY4. Headers indicate what is in each column (latitude, longitude and year). Note: some knowledge of Python, R, or a similar software is recommended to ensure easy of use.

Authors

  • Sailley, Sévrine
0 Citations0 Mentions73% FAIR0.6 Dataset Index
10.5281/zenodo.42811462021

Model projection of the effect of climate change and fishing pressure on key species of the South East Asia Seas (Version: 1.0)

The dataset contain Projection from the Size-Spectra Bioclimatic Envelop Model (SS-DBEM), this work was part of the GCRF Blue communities Programme (www.blue-communities.org). The model provides distribution and abundance and/or biomass of fish and other species of commercial interest under climate change and fishing pressure. The model outputs are yearly abundance/biomass on a 0.5-by-0.5 degree grid, covering the period from 2000 to 2098. Further description of the model and relevant references are listed in the following file: Guide-fish-model-output-use.docx The model was run under two climate scenario: RCP4.5 and RCP8.5, with different combinations of fishing pressure expressed as the Maximum Sustainable Yield (MSY) for the following values: 0 (no fishing, climate change alone will cause variation in fish biomass), 1 (sustainable fishing), 2, 3 (overfishing), and, 4 (overfishing with destructive practice). The intent is not to reproduce current fishing level but to provide a range of scenarios with which the future of fisheries can be explored. We projected fish species that were identified as key in the South East Asia seas region by our regional partners.The full list is provided in document: Fish-list-modelguide.xlsx There are 4 zip files that contain the model outputs of in either abundance (number of fish) or biomass grams of fish) for the two climate scenario. For example Biomass-RCP45.zip will contain model outputs in biomass for projections under RCP4.5 and all MSY. within the zip files are .csv files of the outputs for each species under the 5 MSY (0 to 4), the individual file names identify the species (identified by a 6digit code), the output provided (abundance or biomass), the RCP (8.5 or 4.5), and the MSY (0, 1, 2, 3, or 4). For example the file labelled 600107-Abundance-rcp85-msy4.csv contains the outputs for species 600107 (Skipjack tuna, Katsuwonnus pelamis), as abundance, under RCP8.5 with MSY4. Headers indicate what is in each column (latitude, longitude and year). Note: some knowledge of Python, R, or a similar software is recommended to ensure easy of use.

Authors

  • Sailley, Sévrine
1 Citation0 Mentions69% FAIR1.1 Dataset Index
10.5281/zenodo.42811452021