121 to 130 of 800 Results
Nov 16, 2022 - Savane de Lamto - LMI Ecologie et Développement Durable
Koffi, K.F.; N’Dri, A.B.; Srikanthasamy, T.; Lata, J.-C.; Konaté, S.; Konan, M.; Barot, S., 2022, "The annual demographic fates of the main perennial grass species of the Lamto humid savanna (Côte d'Ivoire) under the influence of four fire treatments between 2015 to 2019", https://doi.org/10.23708/LBMVEB, DataSuds, V1
This file contains data of a scientific article accepted for publication in Fire. These data represent the demographic fates of the four dominant perennial grass species of the Lamto savanna (Andropogon canaliculatus, Andropogon schirensis, Hyparrhenia diplandra and Loudetia simp... |
MS Excel Spreadsheet - 1.8 MB -
MD5: 1ac8b11fa73e4beeb4fc7668c4926ad0
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Nov 9, 2022 - UMR AMAP
Pouteau, Robin, 2022, "Native plants reported as threatened by identified alien plants in the global IUCN Red List", https://doi.org/10.23708/6ERBMY, DataSuds, V1, UNF:6:CMYlNd/qh6rEJxXLInXZpg== [fileUNF]
This dataset includes 1,407 pairs of threatened native–invasive alien plants extracted from the IUCN Red List of Threatened Species (https://www.iucnredlist.org/). For each pair, the threat category of the threatened native species (NT, VU, EN, CR, EW, EX), its population trend (... |
Nov 9, 2022 -
Native plants reported as threatened by identified alien plants in the global IUCN Red List
Plain Text - 849 B -
MD5: 98bdf8164ecea44b93e45f900741839f
Overall description |
Nov 9, 2022 -
Native plants reported as threatened by identified alien plants in the global IUCN Red List
Plain Text - 6.4 KB -
MD5: a641029253e981537279ff80f77339d9
R code of the analyses performed |
Nov 9, 2022 -
Native plants reported as threatened by identified alien plants in the global IUCN Red List
Tabular Data - 140.8 KB - 1 Variables, 1407 Observations - UNF:6:CMYlNd/qh6rEJxXLInXZpg==
1,407 pairs of threatened native–invasive alien plants. CSV/text file, semicolon delimited (10 variables). |
Nov 8, 2022 - UMR MoISA
Bahya-Batinda, Dang; Kameli, Yves; Randremanana, Rindra; Masson, Leila; Martin-Prevel, Yves; Savy, Mathilde, 2022, "Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar", https://doi.org/10.23708/JOGOTO, DataSuds, V1, UNF:6:b1mH2Abu+PA7XsqqM0BIEw== [fileUNF]
Data were collected in southern Madagascar between 2018 and 2019 from a cohort of 600 households. They were collected as part of a project to evaluate a multi-sectoral program set up by the World Food Program (WFP) with the objective of improving the resilience of households in M... |
Nov 8, 2022 -
Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar
Tabular Data - 548.0 KB - 34 Variables, 2463 Observations - UNF:6:XyuRhxSja+8k2FuSN+FvyQ==
Project database |
Nov 8, 2022 -
Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar
Tabular Data - 1.8 MB - 389 Variables, 1796 Observations - UNF:6:Q/aErG/5jNIIxg65eMu+sA==
Project database |
Nov 8, 2022 -
Evaluation data for a multi-sectoral program to improve the resilience of households in Madagascar
Tabular Data - 561.9 KB - 50 Variables, 3606 Observations - UNF:6:9zNlLt76n2luggefTnG8+w==
Project database |
