95869 20210902121621.0 doi 10.1038/s41597-019-0340-y sideral 116405 ART-2020-116405 eng Martinez-Sancho, E The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe 2020 Access copy available to the general public Unrestricted The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios. info:eu-repo/grantAgreement/EC/H2020/676876 /EU/Optimising the management and sustainable use of forest genetic resources in Europe/GenTree This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 676876-GenTree info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 6.444 2020 MULTIDISCIPLINARY SCIENCES 11 / 73 = 0.151 2020 Q1 T1 2.564 2020 Computer Science Applications 2020 Q1 Education 2020 Q1 Statistics, Probability and Uncertainty 2020 Q1 Library and Information Sciences 2020 Q1 Statistics and Probability 2020 Q1 Information Systems 2020 Q1 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Slamova, L Morganti, S Grefen, C Carvalho, B Dauphin, B Rellstab, C Gugerli, F Opgenoorth, L Heer, K Knutzen, F von Arx, G Valladares, F Cavers, S Fady, B Alia, R Aravanopoulos, F Avanzi, C Bagnoli, F Barbas, E Bastien, C Benavides, R Bernier, F Bodineau, G Bastias, CC Charpentier, JP Climent, JM Correard, M Courdier, F Danusevicius, D Farsakoglou, AM del Barrio, JMG Gilg, O Gonzalez-Martinez, SC Gray, A Hartleitner, C Hurel, A Jouineau, A Karkkainen, K Kujala, ST Labriola, M Lascoux, M Lefebvre, M Lejeune, V Liesebach, M Malliarou, E Mariotte, N Matesanz, S Myking, T Notivol, E (orcid)0000-0003-4272-4536 Pakull, B Piotti, A Pringarbe, M Pyhajarvi, T Raffin, A Ramirez-Valiente, JA Ramskogler, K Robledo-Arnuncio, JJ Savolainen, O Schueler, S Semerikov, V Spanu, I Thevenet, J Mette Tollefsrud, M Turion, N Veisse, D Vendramin, GG Villar, M Westin, J Fonti, P 7, 1 (2020), 1-7 Sci. data Scientific Data 2052-4463 1315731 http://zaguan.unizar.es/record/95869/files/texto_completo.pdf Versión publicada 137384 http://zaguan.unizar.es/record/95869/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:95869 articulos driver 2021-09-02-08:47:19 ARTICLE