A unified template for sediment source fingerprinting databases
Creators
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1.
Laboratoire des Sciences du Climat et de l'Environnement
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2.
CEA Paris-Saclay
Description
Over the last few years, the sediment source fingerprinting community has been engaged in promoting best practices to improve the design and the implementation of sediment fingerprinting techniques (Evrard et al., 2022). Data sharing is a key part of open science making research more reliable and accessible to the community. To move forward and improve data sharing, we propose these templates for databases and metadata.
These templates include: common metadata for samples (soil, river flood deposit, sediment core...) description (name, IGSN, location, sampling date...), list and description of common properties (elemental geochemistry, organic matter, radionuclides…) used in sediment source fingerprinting studies. These templates are intended to evolve thanks to the participation of the community, as part of a collaborative project.
In addition, the collectionneur R package was designed to help researchers and data managers maintain an up-to-date and well-organized database. is avalaible on GitHub (https://github.com/tchalauxclergue/collectionneur) and Zenodo (https://doi.org/10.5281/zenodo.15146958). It facilitates the comparison and integration of new data entries into an existing database while keeping a detailed report of all modifications. All database formats are allowed, although it was initially designed for sediment source fingerprinting databases.
Published databases following these templates are listed in the References section below.
Files
SSF_variable_description_v24.03.01.csv
Additional details
References
- Chalaux-Clergue, T., Evrard, O., Durand, R., Caumon, A., Hayashi, S., Tsuji, H., Huon, S., Vaury, V., Wakiyama, Y., Nakao, A., Laceby, J. P., & Onda, Y. (2022). Organic matter, geochemical and colorimetric properties of potential source material, target sediment and laboratory mixtures for conducting sediment fingerprinting approaches in the Mano Dam Reservoir (Hayama Lake) catchment, Fukushima Prefecture, Japan. (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7081094
- Foucher, A., Evrard, O., Rabiet, L., Cerdan, O., Landemaine, V., Bizeul, R., Chalaux-Clergue, T., & Desprats, J.-F. (2023). Radionuclide, organic matter, geochemical and colorimetric properties of potential source material and target sediment for conducing sediment fingerprinting approaches in the Dzoumogné reservoir, Mayotte Island, France [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8403071
- Bizeul, R., Evrard, O., Sabatier, P., Huon, S., Le Callonnec, L., Cerdan, O., & Pak, L.-T. (2023). Measured properties in soil samples and marine sediment collected in Galion Bay (Martinique, France) in order to trace erosion sources in insular tropical catchments [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10137172
- Vale, S. (2023). Geochemical sediment fingerprinting dataset from Oroua river catchment, New Zealand (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10056933
- Tiecher, T., Minella, J. P. G., Reichert, J. M., dos Santos, D. R., Bender, M., Didoné, E., Barros, C. A., Dalbianco, L., Ramon, R., & Capone, V. (2024). Geochemistry of soils and eroded suspended sediments from two large rural catchments in southern Brazil for studies on Suspended Sediment Fingerprinting (1º) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14036322