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41 to 50 of 873 Results
Apr 8, 2024 - Published in CIRAD Dataverse
Viennois, Gaëlle; Bétard, François; Freycon, Vincent; Barbier, Nicolas; Couteron, Pierre, 2024, "Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution", https://doi.org/10.18167/DVN1/ZRFRGD, CIRAD Dataverse
Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 22, 2024 - UMR ESPACE-DEV
Roux, Emmanuel, 2024, "Occupation/usage du sol, Camopi, 2006", https://doi.org/10.23708/d9a7c456-a6f6-4412-95fd-e1c764b52d59, DataSuds-geo
Carte d'occupation du sol de Camopi ayant servi dans Girod et al. (Girod et al., Annals of Tropical Medicine and Prasitology, 105 (2), 2011) et Roux et al. (Roux et al., SELPER, 2012), réalisée à partir d'une image SPOT5 couleur datant du 20/08/2006 (voir "description sommaire de...
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
Jan 22, 2024 - UMR ESPACE-DEV
Dessay, Nadine; Li, Zhichao; Roux, Emmanuel, 2024, "Occupation/usage du sol, Camopi, 2009", https://doi.org/10.23708/fe7fc64d-802a-4e23-8f88-bb3326099e2e, DataSuds-geo
Classification d'occupation/usage du sol obtenue à partir de la scène SPOT5 acquise le 17/10/2009
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
Jan 1, 2024 - UMR ESPACE-DEV
Lima, Ana Cristina Silva Ferreira; Volmir Zanini, 2024, "Coletas larvas - Locais e datas", https://doi.org/10.23708/7b04a5ab-06ae-4b2f-b8b0-e1295b27915e, DataSuds-geo
Locais e datas dos amostrados para pesquisa larvária (criadouros).
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
Jan 1, 2024 - UMR MARBEC
Barrier, Nicolas, 2024, "Global fish biomass density under the IPSL-CM6-LR SSP1-2.6 climate change scenario for epipelagic, migratory and resident communities and 100 sizes ranging from 0.12cm to 1.96m", https://doi.org/10.17882/102964, SEANOE
Ensemble simulations of the ecosystem model Apecosm (https://apecosm.org) forced by the IPSL-CM6-LR climate model with the climate change scenario SSP1-2.6. The output files contain yearly mean biomass density for 3 communities (epipelagic, mesopelagic migratory and mesopelagic r...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Jan 1, 2024 - UMR MARBEC
Barrier, Nicolas, 2024, "Global fish biomass density under the IPSL-CM6-LR SSP5-8.5 climate change scenario for epipelagic, migratory and resident communities and 100 sizes ranging from 0.12cm to 1.96m", https://doi.org/10.17882/102974, SEANOE
Ensemble simulations of the ecosystem model Apecosm (https://apecosm.org) forced by the IPSL-CM6-LR climate model with the climate change scenario SSP5-8.5. The output files contain yearly mean biomass density for 3 communities (epipelagic, mesopelagic migratory and mesopelagic r...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Dec 21, 2023 - UMR ISTerre
Youssef, Eliane; Cornou, Cécile; Youssef Abdel Massih, Dalia; Al-Bittar, Tamara, 2023, "Digital surface geology map of Beirut and suburbs (Lebanon)", https://doi.org/10.23708/780ce2dc-9762-4b53-8048-fb144384dbab, DataSuds-geo
The surface geology in the city of Beirut (Lebanon) is very complex and highly variable at small distances. The last attempt to identify geological soil units and plot a map of surface geology was proposed by Dubertret in 1945. A significant portion of the western side of the cit...
This dataset is harvested from DataSuds-geo repository.
Dec 14, 2023 - UMR ESPACE-DEV
Pré, Alexis, 2023, "Cartographie fine de la couverture de Macrocystis pyrifera sur l'archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020", https://doi.org/10.5281/zenodo.10373952, Zenodo
Cette donnée représente une cartographie fine de la couverture de Macrocystis pyrifera (MP) sur l’archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020. Etant donné la proximité de MP avec Durvilleae Antarctica (DA) (du point de vue de leur signature spectrale), les...
This dataset is harvested from DataSuds-geo repository. / Ce jeu de données est moissonné à partir de l'entrepôt DataSuds-geo.
Nov 20, 2023 - Published in CIRAD Dataverse
Maxime Réjou-Méchain; Frédéric Mortier; Jean-Francois Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonke; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphael Pelissier; Sylvie Gourlet-Fleury, 2023, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse
This is a dataset repository for the manuscript: Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu G., Barbier, N., Bayol, N., Bénédet, F., Bry, X., Dauby, G., Deblauwe, V., Doucet, J.-L., Doumenge, C., Fayolle, A., Garcia, C., Kibambe, J.-P., Loumeto, J.-J., Ngomanda, A., Plo...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Nov 13, 2023 - UMR LEMAR
OUGIER, Sandra; BACH, Pascal; LE LOC'H, François; AUBIN, Joël; GASCUEL, Didier, 2023, "A multidimensional dashboard dataset on tropical tuna fishing fleet in Atlantic and Indian Oceans", https://doi.org/10.57745/Z0PH0Q, Recherche Data Gouv
This data includes indicators estimated in a multicriteria dashboard applied to assess sustainability of tropical tuna fisheries in Atlantic and Indian Oceans. The objective of this work was to test a multidimensional approach, accounting for the ecological, economic and social d...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
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