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Metadata Source: CIRAD Dataverse

6 751 to 6 760 of 6 789 Results

optim_mp-harvest.txt 12 sept. 2017 - The 'Plantain-Optim' dataset: growth, development and yield of 405 plantains Plain Text - 36,3 KB - MD5: 578d72dcbe13a24b15b5fef937d09b75 Yield and agronomic trait of mother-plants at harvest - Données de rendement et traits agronomiques des pieds-mère à la récolte
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) 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.

optim_mp-harvest.txt

12 sept. 2017 - The 'Plantain-Optim' dataset: growth, development and yield of 405 plantains

Plain Text - 36,3 KB -

Yield and agronomic trait of mother-plants at harvest - Données de rendement et traits agronomiques des pieds-mère à la récolte

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 -

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 -

Description of the metadata used in the "Cacao_sols" file.

UPR Systèmes de pérennes(CIRAD)

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 -

corpus2_manual_labelling_1000SMS.xml

8 sept. 2017 - A corpus of 1000 authentic SMS in French with spatial labels

XML - 171,0 KB -

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 -

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.

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