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801 to 810 of 857 Results
BVLAC corpus - Extracted Data
20 déc. 2018 - UMR TETIS
Fize, Jacques, 2018, "BVLAC corpus - Extracted Data", https://doi.org/10.18167/DVN1/8LIG1D, CIRAD Dataverse, V1
[FR] Dans le cadre du projet SONGES sur la mise en correspondance de données textuelles massives et hétérogènes, nous élaborons des modèles de représentation de données ainsi que des mesures de similarité à partir d’indicateurs trouvés dans les textes (thématiques, spatiaux et te...
Données pour l'évaluation de méthodes de géocodage
14 déc. 2018 - UMR TETIS
Fize, Jacques, 2018, "Données pour l'évaluation de méthodes de géocodage", https://doi.org/10.18167/DVN1/KH7YTO, CIRAD Dataverse, V1
[FR] Ce jeu de données contient les toponymes de différents documents et leur référence dans le gazetier Geodict (http://dx.doi.org/10.18167/DVN1/MWQQOQ). Les documents utilisés proviennent de deux sources de texte : PadiWeb et AgroMada. [EN] This dataset contains the toponyms of...
Xylothèque(CIRAD-UPR BioWooEB)
16 nov. 2018UPR BioWooEB
Documents en relation avec la xylothèque du Cirad, gérée par l'UR BioWooEB
UPR BioWooEB( Univ Montpellier, CIRAD)
UPR BioWooEB logo
16 nov. 2018
Dataverse UR BioWooEB Biomasse, Bois, Energie, Bioproduits Biomass, Wood, Energy, Bioproducts
Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"
Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"
13 nov. 2018 - UMR CBGP
PIOU, Cyril; GAY, Pierre-Emmanuel; BENAHI, Ahmed Salem; BABAH EBBE, Mohamed Abdallahi; CHIHRANE, Jamal; GHAOUT, Saïd; CISSÉ, Sory; DIAKITÉ, Fakaba; LAZAR, Mohammed; CRESSMAN, Keith; MERLIN, Olivier; ESCORIHUELA, Maria-José, 2018, "Original data for Piou et al. "Soil moisture from remote sensing to forecast Desert locust presence"", https://doi.org/10.18167/DVN1/AGVOW7, CIRAD Dataverse, V1
Dataset used in the analyses relating soil moisture estimates and other remote sensing estimates to the presence/absence of desert locust in Algeria, Mali, Mauriania and Morocco.
Raw data on coffee tree pests and diseases from surveys conducted in Costa Rica
5 nov. 2018 - UPR Bioagresseurs
Jacques Avelino, 2018, "Raw data on coffee tree pests and diseases from surveys conducted in Costa Rica", https://doi.org/10.18167/DVN1/KUMGSQ, CIRAD Dataverse, V1
Dataset aiming at understanding the relationships between coffee pests and diseases, crop management, environment (including soil), and coffee tree characteristics from a two year survey conducted in Costa Rica at national level in 2002 and 2003
Phenological data on the M'Baïki site (Central African Republic) from 1991 to 2013
26 oct. 2018 - UPR Forêts et Sociétés
Fayolle, Adeline; Gourlet-Fleury, Sylvie, 2018, "Phenological data on the M'Baïki site (Central African Republic) from 1991 to 2013", https://doi.org/10.18167/DVN1/RHBEQH, CIRAD Dataverse, V1
Phenological data on the M’baïki site - crown observation data for selected species important for forest functionning and in the timber trade
Output data from: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
Output data from: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
15 oct. 2018 - UPR Forêts et Sociétés
Vieilledent, Ghislain; Grinand, Clovis; Rakotomalala, Fety A.; Ranaivosoa, Rija; Rakotoarijaona, Jean-Roger; Allnutt, Thomas F.; Achard, Frédéric, 2018, "Output data from: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.", https://doi.org/10.18167/DVN1/AUBRRC, CIRAD Dataverse, V2
This dataset includes output data from the following article: Vieilledent G., C. Grinand, F. A. Rakotomalala, R. Ranaivosoa, J.-R. Rakotoarijaona, T. F. Allnutt, and F. Achard. 2018. Combining global tree cover loss data with historical national forest-cover maps to look at six d...
Code for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
Code for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
15 oct. 2018 - UPR Forêts et Sociétés
Vieilledent, Ghislain; Grinand, Clovis; Rakotomalala, Fety A.; Ranaivosoa, Rija; Rakotoarijaona, Jean-Roger; Allnutt, Thomas F.; Achard, Frédéric, 2018, "Code for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.", https://doi.org/10.18167/DVN1/275TDF, CIRAD Dataverse, V2
This dataset includes the code used in the following article: Vieilledent G., C. Grinand, F. A. Rakotomalala, R. Ranaivosoa, J.-R. Rakotoarijaona, T. F. Allnutt, and F. Achard. 2018. Combining global tree cover loss data with historical national forest-cover maps to look at six d...
Input data for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
Input data for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.
15 oct. 2018 - UPR Forêts et Sociétés
Vieilledent, Ghislain; Grinand, Clovis; Rakotomalala, Fety A.; Ranaivosoa, Rija; Rakotoarijaona, Jean-Roger; Allnutt, Thomas F.; Achard, Frédéric, 2018, "Input data for: Combining global tree cover loss data with historical national forest-cover maps to look at six decades of deforestation and forest fragmentation in Madagascar.", https://doi.org/10.18167/DVN1/2FP7LR, CIRAD Dataverse, V2
This dataset includes input data used in the following article: Vieilledent G., C. Grinand, F. A. Rakotomalala, R. Ranaivosoa, J.-R. Rakotoarijaona, T. F. Allnutt, and F. Achard. 2018. Combining global tree cover loss data with historical national forest-cover maps to look at six...
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