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Dataverse dédié aux données acquises dans le cadre de dispositifs où certains facteurs sont contrôlés ou manipulés (phénotypage, essais agronomiques...), données acquises en milieu naturel ou sur des objets non manipulés (flux au-dessus d’un couvert forestier, variations de potentiel hydrique des plantes...) ou données produites par des expériences de calcul numérique mobilisant un ensemble organisé d’algorithmes et équations.

Dataverse dedicated to data acquired with some factors being controlled or manipulated (phenotyping, agronomic trials...), data acquired in natural environment or on non-manipulated objects (fluxes over a forest canopy, variations of plant water potential...) or data produced by numerical computation experiments using an organized set of algorithms and equations.

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Jul 2, 2020 - MeatPartTool Software
application/octet-stream - 66 B - MD5: 05bdb783ee6514c8c072e47680af8ff7
application/octet-stream - 66 B - MD5: 05bdb783ee6514c8c072e47680af8ff7
Jul 2, 2020 - MeatPartTool Software
application/octet-stream - 1.7 KB - MD5: af8ea273bf0f2ff23d7362b74319948d
application/octet-stream - 1.7 KB - MD5: af8ea273bf0f2ff23d7362b74319948d
text/plain - 18.2 KB - MD5: 38e8020afd80ab5066fa1f70e631b198
Organization of all files, and links about how this data paper was conceived and created. Gnucash files were created during experiments with the fork https://github.com/gijut/gnucash and later updated with related raw file names. An automated process exported the raw data to Matl...
application/pdf - 431.9 KB - MD5: 28154da623e61545ce0b7293cc4e65c7
type/x-r-syntax - 5.6 KB - MD5: af8bd5e4f377328c0127c02911302729
type/x-r-syntax - 3.4 KB - MD5: 04a5570b39d4d17c569161052252019f
type/x-r-syntax - 5.0 KB - MD5: 5c2daba50d779af29e9b5786707fa678
type/x-r-syntax - 5.0 KB - MD5: 1acba7fd7bdf82d3689f52e526d38b15
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