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6 711 to 6 720 of 6 748 Results
CIV_Cacao_sols Nguessan.tab
12 sept. 2017 - Dataset of soil and cacao leaf samples collected in all regions of Côte d'Ivoire
Tabular Data - 68,1 KB - 21 Variables, 401 Observations - UNF:6:kbNkfSzv6JzKheOAZejDAw==
Chemical analyses of soil samples taken into cacao plantations in South CIV
CIV_Cacao_sols Nguessan.txt
12 sept. 2017 - Dataset of soil and cacao leaf samples collected in all regions of Côte d'Ivoire
Plain Text - 594 B - MD5: 085bf52711e75b02d271622bcff0bed0
Description of the metadata used in the "Cacao_sols" file.
UPR Systèmes de pérennes(CIRAD)
UPR Systèmes de pérennes logo
12 sept. 2017
L’unité Performance des Systèmes de Culture des Plantes Pérennes se positionne sur les champs de l’agronomie et de l’agro-écologie des cultures pérennes tropicales : palmier à huile , hévéa , cacaoyer , caféier et cocotier. Les recherches développées par l'unité ont pour objectif...
A corpus of 1000 authentic SMS in French with spatial labels
8 sept. 2017 - UMR TETIS
Zenasni, Sarah; Kergosien, Eric; Roche, Mathieu; Teisseire, Maguelonne, 2017, "A corpus of 1000 authentic SMS in French with spatial labels", https://doi.org/10.18167/DVN1/0ZGJRC, CIRAD Dataverse, V2
Extract of 1000 authentic French SMS from a corpus of more than 88000 SMS (http://88milsms.huma-num.fr/). Spatial entities are tagged (with label). First, an automatic labelling approach based on text-mining techniques is applied in order to obtain the first corpus ("corpus1_auto...
corpus1_automatic_labelling_1000SMS.xml
8 sept. 2017 - A corpus of 1000 authentic SMS in French with spatial labels
XML - 190,4 KB - MD5: ecf6b7f5d4e8e1407c035825f5522eaf
corpus2_manual_labelling_1000SMS.xml
8 sept. 2017 - A corpus of 1000 authentic SMS in French with spatial labels
XML - 171,0 KB - MD5: f3e27d528c258fe80d869a9b5eb47f3f
Valorcarn-TETIS: Terms extracted with Fastr (free extraction)
5 sept. 2017 - UMR TETIS
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: Terms extracted with Fastr (free extraction)", https://doi.org/10.18167/DVN1/FC2YXC, CIRAD Dataverse, V1
Text-Mining: Terms extracted with FASTR tool (free extraction) from "Valorcarn Corpus" (http://dx.doi.org/10.18167/DVN1/7YTQGQ). -- Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Topic: Mining of scientific documents for identification of proc...
Fastr_list_of_top_110_terms.json
5 sept. 2017 - Valorcarn-TETIS: Terms extracted with Fastr (free extraction)
JSON - 7,8 KB - MD5: 4467e66d804943908ebfede8c6a18f28
Valorcarn-TETIS: corpus
5 sept. 2017 - UMR TETIS
Roche, Mathieu; Teisseire, Maguelonne; Shrivastava, Gaurav, 2017, "Valorcarn-TETIS: corpus", https://doi.org/10.18167/DVN1/7YTQGQ, CIRAD Dataverse, V1
Valorcarn Project (2015-2017) [project supported by GloFoodS program (INRA-Cirad)]. Mining of scientific documents for identification of process that enables to reduce losses and waste.
Valorcarn_web_corpus.txt
5 sept. 2017 - Valorcarn-TETIS: corpus
Plain Text - 46,8 KB - MD5: ba9c361ce4d5ff45ea5596fcc73978b9
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