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R Syntax - 3.2 KB - MD5: d3f0f6a312bafe134e71e41aa6bd334d
R script for data processing
R Syntax - 10.9 KB - MD5: 06e07f28c34980cd9585981e5b714aaa
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R Syntax - 3.1 KB - MD5: 8e5ff065c7f0f17bda76876d74b0bffe
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Jun 23, 2020 - UiT The Arctic University of Norway
Bråthen, Kari Anne; Petit Bon, Matteo; Böhner, Hanna; Kaino, Sissel; Moe, Torunn, 2020, "Replication data for: One leaf for all: Chemical traits of single leaves measured at the leaf surface using near-infrared reflectance spectroscopy", https://doi.org/10.18710/MHX1Z7, DataverseNO, V1
NIRS-based estimates of foliar chemical traits using two approaches. From NIRS-scans of dried, milled and tableted leaves and from NIRS-scans of full leaves dried flat.
Jun 17, 2020 - UiT The Arctic University of Norway
Brakestad, Anders; Jensen, Stig Rune; Wind, Peter; D'Alessandro, Marco; Genovese, Luigi; Hopmann, Kathrin Helen; Frediani, Luca, 2020, "Replication Data for: Static polarizabilities at the basis set limit: A benchmark of 124 species", https://doi.org/10.18710/KLQVOK, DataverseNO, V4, UNF:6:pBXeXp0l5KVVijVHeSqsdg== [fileUNF]
Introduction This Dataverse entry contains replication data for our journal article “Static polarizabilities at the basis set limit: A benchmark of 124 species” published in Journal of Chemical Theory and Computation. It contains highly precise static polarizabilities computed in multiwavelet basis in combination with density functional theory (DFT...
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