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Which name(s) should be used for Araucaria-like fossil wood?—Results of a poll

Taxon, 2014-02, Vol.63 (1), p.177-184

2014

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Variación de las propiedades físico-mecánicas de la madera de Abies alba Mill. de los Pirineos españoles, a lo largo del tronco del árbol

Madera y bosques, 2013, Vol.19 (2), p.87-107

2013

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Softwood Anatomy: A Review

Forests, 2023-02, Vol.14 (2), p.323

2023

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Computer Vision-Based Wood Identification: A Review

Forests, 2022-12, Vol.13 (12), p.2041

2022

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Hardwoods: Anatomy and Functionality of Their Elements—A Short Review

Forests, 2024-07, Vol.15 (7), p.1162

2024

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Comparative Wood Anatomy in Pinaceae with Reference to Its Systematic Position

Forests, 2021-12, Vol.12 (12), p.1706

2021

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Thermodynamic properties of the water sorption isotherms of wood of limba (Terminalia superba Engl. & Diels), obeche (Triplochiton scleroxylon K. Schum.), radiata pine (Pinus radiata D. Don) and chestnut (Castanea sativa Mill.)

Industrial crops and products, 2016-12, Vol.94, p.122-131

2016

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Applying Digital Image Correlation (DIC) Techniques to Characterise Plywood According to UNE-EN 314 Standards: Bonding Quality Tests

Forests, 2022-12, Vol.13 (12), p.2135

2022

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Effect of Degradation on Wood Hygroscopicity: The Case of a 400-Year-Old Coffin

Forests, 2020, Vol.11 (7), p.712

2020

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Using Lenses Attached to a Smartphone as a Macroscopic Early Warning Tool in the Illegal Timber Trade, in Particular for CITES-Listed Species

Forests, 2020-11, Vol.11 (11), p.1147

2020

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Characterisation of Pinus canariensis C.Sm. ex DC. Sawn Timber from Reforested Trees on the Island of Tenerife, Spain

Forests, 2020-07, Vol.11 (7), p.769

2020

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Resinous Wood of Pinus pinaster Ait.: Physico-mechanical Properties

Bioresources, 2016-05, Vol.11 (2), p.5230-5241

2016

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Reduction of wood hygroscopicity and associated dimensional response by repeated humidity cycles

Annals of forest science., 2005-04, Vol.62 (3), p.275-284

2005

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Comparison of the hygroscopic behaviour of 205-year-old and recently cut juvenile wood from Pinus sylvestris L

Annals of forest science., 2006-04, Vol.63 (3), p.309-317

2006

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Sorption and thermodynamic properties of juvenile Pinus sylvestris L. wood after 103 years of submersion

Holzforschung, 2008-11, Vol.62 (6), p.745-751

2008

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Clave de identificación de maderas de coníferas a nivel de especie: Región europea y norteamericana

Investigación agraria. Sistemas y recursos forestales, 2000, Vol.9 (1), p.117-136

2000

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Comparison of the hygroscopic behaviour of 205-year-old and recently cut juvenile wood from Pinus sylvestris L

Annals of forest science., 2006, Vol.63 (3), p.309-317

2006

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Mechanical properties of wood from the relict Abies pinsapo forests

Forest products journal, 2009-10, Vol.59 (10), p.72-78

2009

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Creating of a xylarium and herbarium with a preventive conservation profile: review of procedures and materials

Museum management and curatorship (1990), 2024-08, p.1-25

2024

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Sorption et propriétés thermodynamiques du liège pour les isothermes 35ºC et 50ºC

Bois et forêts des tropiques, 2012-03, Vol.311 (311), p.63

2012

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Study of the influence of the physical properties of particleboard type P2 on the internal bond of panels using artificial neural networks

Computers and electronics in agriculture, 2018-12, Vol.155, p.142-149

2018

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Prediction of MOR and MOE of structural plywood board using an artificial neural network and comparison with a multivariate regression model

Composites. Part B, Engineering, 2012-12, Vol.43 (8), p.3528-3533

2012

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Effect of vacuum/pressure cycles on cell wall composition and structure of poplar wood

Cellulose (London), 2019-11, Vol.26 (16), p.8543-8556

2019

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Comparison of modelling using regression techniques and an artificial neural network for obtaining the static modulus of elasticity of Pinus radiata D. Don. timber by ultrasound

Composites. Part B, Engineering, 2016-07, Vol.96, p.112-118

2016

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MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing

Computers & structures, 2009-11, Vol.87 (21), p.1360-1365

2009

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Which name(s) should be used for Araucaria-like fossil wood?—Results of a poll

Variación de las propiedades físico-mecánicas de la madera de Abies alba Mill. de los Pirineos españoles, a lo largo del tronco del árbol

Softwood Anatomy: A Review

Computer Vision-Based Wood Identification: A Review

Hardwoods: Anatomy and Functionality of Their Elements—A Short Review

Comparative Wood Anatomy in Pinaceae with Reference to Its Systematic Position

Thermodynamic properties of the water sorption isotherms of wood of limba (Terminalia superba Engl. & Diels), obeche (Triplochiton scleroxylon K. Schum.), radiata pine (Pinus radiata D. Don) and chestnut (Castanea sativa Mill.)

Applying Digital Image Correlation (DIC) Techniques to Characterise Plywood According to UNE-EN 314 Standards: Bonding Quality Tests

Effect of Degradation on Wood Hygroscopicity: The Case of a 400-Year-Old Coffin

Using Lenses Attached to a Smartphone as a Macroscopic Early Warning Tool in the Illegal Timber Trade, in Particular for CITES-Listed Species

Characterisation of Pinus canariensis C.Sm. ex DC. Sawn Timber from Reforested Trees on the Island of Tenerife, Spain

Resinous Wood of Pinus pinaster Ait.: Physico-mechanical Properties

Reduction of wood hygroscopicity and associated dimensional response by repeated humidity cycles

Comparison of the hygroscopic behaviour of 205-year-old and recently cut juvenile wood from Pinus sylvestris L

Sorption and thermodynamic properties of juvenile Pinus sylvestris L. wood after 103 years of submersion

Clave de identificación de maderas de coníferas a nivel de especie: Región europea y norteamericana

Comparison of the hygroscopic behaviour of 205-year-old and recently cut juvenile wood from Pinus sylvestris L

Mechanical properties of wood from the relict Abies pinsapo forests

Creating of a xylarium and herbarium with a preventive conservation profile: review of procedures and materials

Sorption et propriétés thermodynamiques du liège pour les isothermes 35ºC et 50ºC

Study of the influence of the physical properties of particleboard type P2 on the internal bond of panels using artificial neural networks

Prediction of MOR and MOE of structural plywood board using an artificial neural network and comparison with a multivariate regression model

Effect of vacuum/pressure cycles on cell wall composition and structure of poplar wood

Comparison of modelling using regression techniques and an artificial neural network for obtaining the static modulus of elasticity of Pinus radiata D. Don. timber by ultrasound

MOE prediction in Abies pinsapo Boiss. timber: Application of an artificial neural network using non-destructive testing

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