DeepIso - a global open database of stable isotope ratios and elemental contents for deep-sea ecosystems
|Temporal extent||1989 -2018|
|Author(s)||Michel Loïc N.1, Bell James B.2, Dubois Stanislas F.3, Le Pans Mathilde1, Lepoint Gilles4, Olu Karine1, Reid William D. K.5, Sarrazin Jozee1, Schaal Gauthier6, Hayden Brian7|
|Contributor(s)||Carlier Antoine, Demopoulos Amanda W. J., Marticorena Julien, McClain-Counts Jennifer P., Methou Pierre, Parzanini Camilla, Pradillon Florence, Puccinelli Eleonora, Riekenberg Philip M., Van Audenhaege Loic, Van Dover Cindy Lee, Van Oevelen Dick, Woulds Clare|
|Affiliation(s)||1 : Ifremer, REM/EEP, F-29280 Plouzané, France
2 : Centre for Environment, Fisheries and Aquaculture Science, Lowestoft, United Kingdom
3 : Ifremer, ODE/DYNECO, F-29280 Plouzané, France
4 : Laboratory of Oceanology, Freshwater and Oceanic Sciences Unit of reSearch (FOCUS), University of Liège, Liège, Belgium
5 : Modelling, Evidence and Policy, School of Natural and Environmental Sciences, Newcastle University, Newcastle, United Kingdom
6 : Université de Bretagne Occidentale, CNRS, IRD, Ifremer, LEMAR, Plouzané, France
7 : Biology Department, Canadian Rivers Institute, University of New Brunswick, Fredericton, New Brunswick, Canada
|Keyword(s)||stable isotope, elemental content, carbon, nitrogen, sulfur, ecology, trophic interactions, food webs, open data, hydrothermal vent, cold seep, cold water coral, deep sea|
The use of stable isotopes as ecological tracers in deep-sea ecosystems has a long history, dating back to the late 1970’s. Stable isotopes have been instrumental to many key-findings about ecosystem functioning, particularly in chemosynthesis-based habitats (hydrothermal vents, cold seeps). However, constraining sampling logistics commonly limit the scope, extent, and therefore insights drawn from isotope-based deep-sea studies. Overall, much is left to discover about factors globally influencing food web structure in deep-sea ecosystems. In this context, deep-sea ecologists have to ensure that no sample is left unexploited, and that all generated data are easily discoverable, available and reusable.
DeepIso is a collaborative effort to produce a global compilation of stable isotope ratios and elemental contents in organisms from deep-sea ecosystems. In doing so, it aims to provide the deep-sea community with an open data analysis tool that can be used in the context of future ecological research, and to help deep-sea researchers to use stable isotope markers at their full efficiency. More info about the project can be found at https://loicnmichel.com/deepiso/
As of v1 (2020/10/22), the database contains 15 distinct datasets, for a total of 18677 fully documented measurements. Archived parameters currently include δ13C (n = 4587), δ15N (n = 4388), δ34S (n = 951), %C (n = 2740), %N (n = 2741), %S (n = 752) and C/N ratio (n = 2518). Those measurements pertain to 4378 distinct samples belonging to 493 taxa, plus sediments, suspended particulate organic matter, plankton and detritus. Samples were taken between 1989 and 2018 in multiple environments (hydrothermal vents, cold seeps, cold water coral reefs, and other benthic or pelagic environments) and at depths ranging up to 5209 meters.
The database consists of three files: one containing the data itself, one describing all used terms (measurements or metadata, derived from Darwin Core standards, https://dwc.tdwg.org/terms/), and a changelog detailing changes made between successive versions.
|Utilisation||DeepIso is freely and openly accessible for all, under Creative Commons CC BY 4.0 licence. The only usage requirement is that users give credit where credit is due, and explicitly cite the database as well as the original datasets they use (clearly identified by their DOIs in the database) in research products (publications, presentations, reports, etc.) derived from the database. Moreover, if the intended research heavily relies on one or several archived datasets, we strongly encourage users to contact the investigators originally responsible for data acquisition (also clearly identified in the database) to inform them and/or invite them to take part in the intended research. Finally, we encourage users to disseminate research products derived from the database as openly as possible, in accordance with the FAIR principles (https://www.go-fair.org/fair-principles/).|
|Acknowledgments||This work is supported by the “Laboratoire d’excellence” LabexMER (ANR-10-LABX-19) and co-funded by a grant from the French government under the program “Investissements d’avenir”.|