LABORATORY OF ENVIRONMENTAL MARINE SCIENCES
LEMAR is a strongly interdisciplinary laboratory that brings together ecologists, biologists, biogeochemists, chemists, physicists and marine environment lawyers. Its objectives are (1) to conduct research on topics of fundamental research or societal importance; (2) to contribute to the achievement of sustainable development objectives in both North and South countries; (3) to bring innovations in relation to the economic world and results that support public policies; (4) to engage in interdisciplinary training in the field of marine and coastal science.
LABORATOIRE DES SCIENCES DE L’ENVIRONNEMENT MARIN
Le LEMAR est un laboratoire résolument interdisciplinaire qui regroupe des écologistes, des biologistes, des biogéochimistes, des chimistes, des physiciens et des juristes de l’environnement marin. Ses objectifs sont (1) de conduire des travaux sur des thématiques de recherche fondamentale ou d’importance sociétale ; (2) de contribuer à atteindre les objectifs du développement durable dans les pays du Nord comme du Sud ; (3) d’apporter des innovations en lien avec le monde économique et des résultats venant en appui aux politiques publiques ; (4) de s’engager dans les formations interdisciplinaires du domaine des sciences de la mer et du littoral.
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11 to 20 of 46 Results
Plain Text - 939 B - MD5: 4bbef0d6397b03c4456e33ac3cb7c1d3
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Oct 24, 2025
Janowski, Eva; Sané, Babacar; Sardenne, Fany; Mathieu-Resuge, Margaux; Buscaglia, Manon; Harrault, Loïc; Munaron, Jean-Marie; Diouf, Malick; Thomas, Yoann, 2025, "Replication data for: Seasonal changes in the diet of the bloody cockle (Senilia senilis) along the Sine Saloum inverse estuary", https://doi.org/10.23708/QFPCCR, DataSuds, V1, UNF:6:65/VZ1sprANIGlklz4yakg== [fileUNF]
This dataset includes trophic biomarker data for 180 bloody cockles (Senilia senilis) collected at four stations along a downstream-upstream gradient of the Sine Saloum in Senegal in April and October 2022 (before and after the monsoon season). The dataset contains the proportion...
Plain Text - 1.6 KB - MD5: 69b33fd98acae5cf3b1569816cd4a174
Documentation
contains the citation, description and conditions of use, or even access, depending on the case, to the dataset
Tabular Data - 265.2 KB - 97 Variables, 175 Observations - UNF:6:RfRfkDIzz0kNOE0SdrSoGQ==
Données
Fatty acids, sterols, stable isotopes values for bloody cockle, and environmental data at sampling stations
Tabular Data - 5.9 KB - 8 Variables, 99 Observations - UNF:6:GwzuednpCgd4+zjiguj7OA==
Données
Phytoplankton abundance at sampling stations
Adobe PDF - 33.2 KB - MD5: ca03e00ec76bc74d8383fb7979e9cef4
Documentation
Data dictionnary file
Adobe PDF - 106.0 KB - MD5: 12767dc67e5e18816de20d5956e6e7fc
Documentation
Analysis protocols for data acquisition
Tabular Data - 238 B - 1 Variables, 5 Observations - UNF:6:l+j2IePacfeLY8svH6uILw==
Documentation
contains the list of sampling stations and their geographical coordinates
Jan 1, 2025
Spedicato, Adriana; Emma, Michaud, 2025, "Meiofauna, nematodes and associated sediment characteristics of the mangrove-colonized banks of Cayenne estuary (French Guiana) during the wet season of 2022", https://doi.org/10.15468/ysbx6p, Institut Universitaire Européen de la Mer
Since 2015, an interdisciplinary team of researchers collect and analyze data on French Overseas mangroves with conservation aims, following French legislation called “Directive Cadre sur l’Eau” (DCE) and the demands of the Institutions. In March 2022, the working group has been...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Mar 22, 2024
Sané, Babacar; Diouf, Malick; Jean, Fréderic; Kerhervé, Malika; Flye-Sainte-Marie, Jonathan; Houmenou, Abdou Karim; Thomas, Yoann, 2024, "Gonad histological analysis of Senilia senilis sampled in the Sine Saloum inverse estuary in Senegal between march 2021 and march 2022", https://doi.org/10.23708/VQHAZB, DataSuds, V1, UNF:6:F8uDwbq/ISTm9wrdeI/tgg== [fileUNF]
Understanding the reproductive biology of a species is an important means of determining the renewal capacity of natural stocks, especially in the case of heavily exploited species. It is a fundamental element in supporting the implementation of management measures. Here, we stud...
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