Data

Prediction of board MOE from increment cores - data

University of the Sunshine Coast
Psaltis, Steven ; Kumar, Chandan ; Turner, Ian ; Carr, Elliot ; Farrell, Troy ; Brancheriau, Loic ; Bailleres, Henri ; Lee, David
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25907/00007&rft.title=Prediction of board MOE from increment cores - data&rft.identifier=10.25907/00007&rft.publisher=University of the Sunshine Coast&rft.description=Data from 68 southern pine hybrid trees (Pinus elliottii var. elliottii x P. caribaea var. hondurensis) sampled in southern Queensland (note no data exists for tree 61, hence tree numbers range from 1 to 69). The trees were collected from three sites in the southeast Queensland plantation estate owned by HQPlantations. Tree sizes were stratified by diameter at breast height, to ensure we collected the full range of sizes in the plantations. Ages of the trees ranged from 19 to 28 years.Two csv data files: File: Data for A new approach for predicting board MOE from increment cores - board data.csv 6 variables in columns and 635 lines of hybrid pine data:1. Tree#: Identifier for the tree2. Stud centre distance from pith (mm): Distance from the pith to the centre of the board3. Log end: The end of the log from which the static bending sample was taken. Butt end = 0, Top end = 1.4. Static bending MOE: The standard reference MOE measured using the four-point bending test.5. Predicted MOE - 3D approach: The board MOE predicted from our three-dimensional approach using four diametrical cores extracted from the tree.6. The board MOE predicted from our two-dimensional approach using a single diametrical core extracted near breast height.File: Data for A new approach for predicting board MOE from increment cores - core data.csv 9 variables in columns and 3184 lines of hybrid pine data:1. Tree#: Identifier for the tree2. Stocking: Number of stems per hectare3. Height Core#: The core number extracted from the log, from 1 (butt end) to 4 (top end).4. Side#: The side of the pith the segment was taken from.5. Segment Position#: Segment count from each side of the pith, starting from 1 (near bark).6. Segment#: Overall segment number. Note some segments were rejected hence maximum segment number is 3204.7. Distance Seg from pith (Matlab): Distance from the pith to the centre of the segment, calculated using image processing in Matlab.8. Height (m): Height of the core in the tree.9. Segment US MOE: Segment MOE (in MPa) measured using the ultrasound method.This work was supported by Forest and Wood Products Australia (FWPA) through project PNC361-1415, and partners University of the Sunshine Coast, Queensland Department of Agriculture and Fisheries, HQPlantations, Forestry Corporation of NSW, Hyne and Son Pty Ltd, Queensland University of Technology and Hancock Victoria Plantations. The authors also wish to thank the following for their valuable contributions to this work: Bruce Hogg, Tony Burridge and John Oostenbrink (Department of Agriculture and Fisheries, Gympie) for plantation sampling, log selection and harvesting, and Dan Field, Eric Littee, Rhianna Robinson, and Rica Minett (Department of Agriculture and Fisheries, Salisbury Research Facility) for sawing and testing.This work was supported by Forest and Wood Products Australia (FWPA) through project PNC361-1415, and partners University of the Sunshine Coast, Queensland Department of Agriculture and Fisheries, HQPlantations, Forestry Corporation of NSW, Hyne and Son Pty Ltd, Queensland University of Technology and Hancock Victoria Plantations. The authors also wish to thank the following for their valuable contributions to this work: Bruce Hogg, Tony Burridge and John Oostenbrink (Department of Agriculture and Fisheries, Gympie) for plantation sampling, log selection and harvesting, and Dan Field, Eric Littee, Rhianna Robinson, and Rica Minett (Department of Agriculture and Fisheries, Salisbury Research Facility) for sawing and testing.&rft.creator=Psaltis, Steven &rft.creator=Kumar, Chandan &rft.creator=Turner, Ian &rft.creator=Carr, Elliot &rft.creator=Farrell, Troy &rft.creator=Brancheriau, Loic &rft.creator=Bailleres, Henri &rft.creator=Lee, David &rft.date=2020&rft.coverage=Location: Tuan State Forest, Toolara State Forest and Beerburrum State Forest&rft_rights=CC BY V4.0&rft_subject=wood quality&rft_subject=southern pine&rft_subject=ultrasound&rft_subject=MOE&rft_subject=Modulus of Elasticity&rft_subject=Forestry sciences&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Numerical and computational mathematics&rft_subject=MATHEMATICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Data from 68 southern pine hybrid trees (Pinus elliottii var. elliottii x P. caribaea var. hondurensis) sampled in southern Queensland (note no data exists for tree 61, hence tree numbers range from 1 to 69). The trees were collected from three sites in the southeast Queensland plantation estate owned by HQPlantations. Tree sizes were stratified by diameter at breast height, to ensure we collected the full range of sizes in the plantations. Ages of the trees ranged from 19 to 28 years.


Two csv data files:


File: Data for A new approach for predicting board MOE from increment cores - board data.csv


6 variables in columns and 635 lines of hybrid pine data:

1. Tree#: Identifier for the tree
2. Stud centre distance from pith (mm): Distance from the pith to the centre of the board
3. Log end: The end of the log from which the static bending sample was taken. Butt end = 0, Top end = 1.
4. Static bending MOE: The standard reference MOE measured using the four-point bending test.
5. Predicted MOE - 3D approach: The board MOE predicted from our three-dimensional approach using four diametrical cores extracted from the tree.
6. The board MOE predicted from our two-dimensional approach using a single diametrical core extracted near breast height.


File: Data for A new approach for predicting board MOE from increment cores - core data.csv


9 variables in columns and 3184 lines of hybrid pine data:

1. Tree#: Identifier for the tree

2. Stocking: Number of stems per hectare

3. Height Core#: The core number extracted from the log, from 1 (butt end) to 4 (top end).

4. Side#: The side of the pith the segment was taken from.

5. Segment Position#: Segment count from each side of the pith, starting from 1 (near bark).

6. Segment#: Overall segment number. Note some segments were rejected hence maximum segment number is 3204.

7. Distance Seg from pith (Matlab): Distance from the pith to the centre of the segment, calculated using image processing in Matlab.

8. Height (m): Height of the core in the tree.

9. Segment US MOE: Segment MOE (in MPa) measured using the ultrasound method.

This work was supported by Forest and Wood Products Australia (FWPA) through project PNC361-1415, and partners University of the Sunshine Coast, Queensland Department of Agriculture and Fisheries, HQPlantations, Forestry Corporation of NSW, Hyne and Son Pty Ltd, Queensland University of Technology and Hancock Victoria Plantations. The authors also wish to thank the following for their valuable contributions to this work: Bruce Hogg, Tony Burridge and John Oostenbrink (Department of Agriculture and Fisheries, Gympie) for plantation sampling, log selection and harvesting, and Dan Field, Eric Littee, Rhianna Robinson, and Rica Minett (Department of Agriculture and Fisheries, Salisbury Research Facility) for sawing and testing.
This work was supported by Forest and Wood Products Australia (FWPA) through project PNC361-1415, and partners University of the Sunshine Coast, Queensland Department of Agriculture and Fisheries, HQPlantations, Forestry Corporation of NSW, Hyne and Son Pty Ltd, Queensland University of Technology and Hancock Victoria Plantations. The authors also wish to thank the following for their valuable contributions to this work: Bruce Hogg, Tony Burridge and John Oostenbrink (Department of Agriculture and Fisheries, Gympie) for plantation sampling, log selection and harvesting, and Dan Field, Eric Littee, Rhianna Robinson, and Rica Minett (Department of Agriculture and Fisheries, Salisbury Research Facility) for sawing and testing.

Issued: 2020

Created: 2015 to 2018

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Spatial Coverage And Location

text: Location: Tuan State Forest, Toolara State Forest and Beerburrum State Forest

Subjects
Agricultural, Veterinary and Food Sciences | Forestry Sciences | Mathematical Sciences | MOE | Modulus of Elasticity | Numerical and Computational Mathematics | southern pine | ultrasound | wood quality |

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  • usc : 11133019970002621
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