000095869 001__ 95869
000095869 005__ 20210902121621.0
000095869 0247_ $$2doi$$a10.1038/s41597-019-0340-y
000095869 0248_ $$2sideral$$a116405
000095869 037__ $$aART-2020-116405
000095869 041__ $$aeng
000095869 100__ $$aMartinez-Sancho, E
000095869 245__ $$aThe GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe
000095869 260__ $$c2020
000095869 5060_ $$aAccess copy available to the general public$$fUnrestricted
000095869 5203_ $$aThe 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.
000095869 536__ $$9info:eu-repo/grantAgreement/EC/H2020/676876 /EU/Optimising the management and sustainable use of forest genetic resources in Europe/GenTree$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 676876-GenTree
000095869 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000095869 590__ $$a6.444$$b2020
000095869 591__ $$aMULTIDISCIPLINARY SCIENCES$$b11 / 73 = 0.151$$c2020$$dQ1$$eT1
000095869 592__ $$a2.564$$b2020
000095869 593__ $$aComputer Science Applications$$c2020$$dQ1
000095869 593__ $$aEducation$$c2020$$dQ1
000095869 593__ $$aStatistics, Probability and Uncertainty$$c2020$$dQ1
000095869 593__ $$aLibrary and Information Sciences$$c2020$$dQ1
000095869 593__ $$aStatistics and Probability$$c2020$$dQ1
000095869 593__ $$aInformation Systems$$c2020$$dQ1
000095869 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000095869 700__ $$aSlamova, L
000095869 700__ $$aMorganti, S
000095869 700__ $$aGrefen, C
000095869 700__ $$aCarvalho, B
000095869 700__ $$aDauphin, B
000095869 700__ $$aRellstab, C
000095869 700__ $$aGugerli, F
000095869 700__ $$aOpgenoorth, L
000095869 700__ $$aHeer, K
000095869 700__ $$aKnutzen, F
000095869 700__ $$avon Arx, G
000095869 700__ $$aValladares, F
000095869 700__ $$aCavers, S
000095869 700__ $$aFady, B
000095869 700__ $$aAlia, R
000095869 700__ $$aAravanopoulos, F
000095869 700__ $$aAvanzi, C
000095869 700__ $$aBagnoli, F
000095869 700__ $$aBarbas, E
000095869 700__ $$aBastien, C
000095869 700__ $$aBenavides, R
000095869 700__ $$aBernier, F
000095869 700__ $$aBodineau, G
000095869 700__ $$aBastias, CC
000095869 700__ $$aCharpentier, JP
000095869 700__ $$aCliment, JM
000095869 700__ $$aCorreard, M
000095869 700__ $$aCourdier, F
000095869 700__ $$aDanusevicius, D
000095869 700__ $$aFarsakoglou, AM
000095869 700__ $$adel Barrio, JMG
000095869 700__ $$aGilg, O
000095869 700__ $$aGonzalez-Martinez, SC
000095869 700__ $$aGray, A
000095869 700__ $$aHartleitner, C
000095869 700__ $$aHurel, A
000095869 700__ $$aJouineau, A
000095869 700__ $$aKarkkainen, K
000095869 700__ $$aKujala, ST
000095869 700__ $$aLabriola, M
000095869 700__ $$aLascoux, M
000095869 700__ $$aLefebvre, M
000095869 700__ $$aLejeune, V
000095869 700__ $$aLiesebach, M
000095869 700__ $$aMalliarou, E
000095869 700__ $$aMariotte, N
000095869 700__ $$aMatesanz, S
000095869 700__ $$aMyking, T
000095869 700__ $$0(orcid)0000-0003-4272-4536$$aNotivol, E
000095869 700__ $$aPakull, B
000095869 700__ $$aPiotti, A
000095869 700__ $$aPringarbe, M
000095869 700__ $$aPyhajarvi, T
000095869 700__ $$aRaffin, A
000095869 700__ $$aRamirez-Valiente, JA
000095869 700__ $$aRamskogler, K
000095869 700__ $$aRobledo-Arnuncio, JJ
000095869 700__ $$aSavolainen, O
000095869 700__ $$aSchueler, S
000095869 700__ $$aSemerikov, V
000095869 700__ $$aSpanu, I
000095869 700__ $$aThevenet, J
000095869 700__ $$aMette Tollefsrud, M
000095869 700__ $$aTurion, N
000095869 700__ $$aVeisse, D
000095869 700__ $$aVendramin, GG
000095869 700__ $$aVillar, M
000095869 700__ $$aWestin, J
000095869 700__ $$aFonti, P
000095869 773__ $$g7, 1 (2020), 1-7$$pSci. data$$tScientific Data$$x2052-4463
000095869 8564_ $$s1315731$$uhttps://zaguan.unizar.es/record/95869/files/texto_completo.pdf$$yVersión publicada
000095869 8564_ $$s137384$$uhttps://zaguan.unizar.es/record/95869/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000095869 909CO $$ooai:zaguan.unizar.es:95869$$particulos$$pdriver
000095869 951__ $$a2021-09-02-08:47:19
000095869 980__ $$aARTICLE