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1 to 9 of 9 Results
Multi-site F1 hybrid pine trials dataset. Tree improvement program INTA. Misiones, Argentina. 2017.
9 sept. 2020 - FOREST-GENETICS
Instituto Nacional de Tecnología Agropecuaria, 2020, "Multi-site F1 hybrid pine trials dataset. Tree improvement program INTA. Misiones, Argentina. 2017.", https://doi.org/10.18167/DVN1/FFGMFE, CIRAD Dataverse, V1
The Pinus elliottii var. elliottii Engelm (PEE) × Pinus caribaea var. hondurensis (Senecl) Barrett and Golfari (PCH) F1 hybrid data set used in this study was obtained from the tree improvement program initiated by the National Institute of Agricultural Technology (INTA, Argentin...
Hybrid_pines.txt
9 sept. 2020 - Multi-site F1 hybrid pine trials dataset. Tree improvement program INTA. Misiones, Argentina. 2017.
Plain Text - 132,3 KB - MD5: fbada1435fcfa102bacbcdbbb7701b85
Data
Data set F1 Hybrid Pines. Measurements of DBH, TH, NSTR.
Metadata.txt
9 sept. 2020 - Multi-site F1 hybrid pine trials dataset. Tree improvement program INTA. Misiones, Argentina. 2017.
Plain Text - 821 B - MD5: a0a7ab78f10a63b6d8727458fd3742c2
Documentation
Description of the variables and codification.
Survey of scientists from French-speaking countries on practices in research, surveillance and control of neglected tropical diseases by One Health approaches
3 juin 2020 - AVIESAN
Molia, Sophie, 2020, "Survey of scientists from French-speaking countries on practices in research, surveillance and control of neglected tropical diseases by One Health approaches", https://doi.org/10.18167/DVN1/ZSKMLQ, CIRAD Dataverse, V1
This dataset contains answers to a 2019 online survey which aimed to make an inventory of the activities on neglected tropical diseases involving a One Health component in French-speaking tropical countries; to discuss the constraints and benefits encountered; and to propose reco...
One_Health_NTD_French_speaking_countries_Data.xlsx
3 juin 2020 - Survey of scientists from French-speaking countries on practices in research, surveillance and control of neglected tropical diseases by One Health approaches
MS Excel Spreadsheet - 64,7 KB - MD5: afe5dfa92fe6dcd85a22568b29b65035
This dataset contains answers to a 2019 online survey which aimed to make an inventory of the activities on neglected tropical diseases involving a One Health component in French-speaking tropical countries; to discuss the constraints and benefits encountered; and to propose reco...
PADI-web COVID-19 corpus: news articles manually labelled
12 mars 2020 - MOOD
Valentin, Sarah; Mercier, Alizé; Lancelot, Renaud; Roche, Mathieu; Arsevska, Elena, 2020, "PADI-web COVID-19 corpus: news articles manually labelled", https://doi.org/10.18167/DVN1/MSLEFC, CIRAD Dataverse, V1, UNF:6:yo9WiPe7jSdSA43cmAivxg== [fileUNF]
This dataset contains two files: a corpus of 275 manually labelled COVID-2019-news articles retrieved by PADI-web from Dec. 31, 2019, to Jan. 26, 2020 (padiweb_covid19.xlsx), and the multi-term expressions extracted from the news articles content using a text-mining tool, BIOTEX...
biotex_covid19.tab
12 mars 2020 - PADI-web COVID-19 corpus: news articles manually labelled
Tabular Data - 39,9 KB - 3 Variables, 1200 Observations - UNF:6:yo9WiPe7jSdSA43cmAivxg==
padiweb_covid19.xlsx
12 mars 2020 - PADI-web COVID-19 corpus: news articles manually labelled
MS Excel Spreadsheet - 476,0 KB - MD5: 72c014dbf6591906ce8af0e3bfaecdd6
readme.txt
12 mars 2020 - PADI-web COVID-19 corpus: news articles manually labelled
Plain Text - 2,3 KB - MD5: 4b263fc5d753ec55ade1f08ac600d4f4
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