Fluorescence emission images of wood stained with acridine orange

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Houtman, Carl J.
Originator: Hunt, Chris G.
Originator: Hammel, Ken E.
Publication_Date: 2016
Title:
Fluorescence emission images of wood stained with acridine orange
Geospatial_Data_Presentation_Form: tabular and raster digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2016-0022
Description:
Abstract:
Colonization of wood blocks, Picea glauca, by brown and white rot fungi, Postia placenta, Phanerochaete chrysosporium, and Serpula lacrymans, rapidly resulted in detectable wood oxidation, as shown by a reduced phloroglucinol response, a loss of autofluorescence, and acridine orange (AO) staining. The data included in this archive were used to refine a method for detecting changes in the chemical properties of wood. This method involves staining the sample with acridine orange and then observing the light emission using a fluorescence microscope. Data include fluorescence emission microscopic images of AO-stained wood, transmission microscopic images of phloroglucinol-stained wood, isothermal titration calorimetry results, and fluorescence emission spectra.
Purpose:
We used the data to develop a new method for following the course of fungal colonization of wood. In addition we stained isolated wood components in an effort to better understand the origins of the color changes in emission.
Supplemental_Information:
Original metadata date was 10/06/2016. Minor metadata updates on 12/16/2016.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 201404
Ending_Date: 201509
Currentness_Reference:
ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
The wood and fungi species used in this study are found all over the world, and thus, the results of this study are applicable globally.
Bounding_Coordinates:
West_Bounding_Coordinate: -180
East_Bounding_Coordinate: 180
North_Bounding_Coordinate: -90
South_Bounding_Coordinate: 90
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Forest & Plant Health
Theme_Keyword: Mycology
Theme_Keyword: Forest Products
Theme_Keyword: Wood chemistry
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: fluorescence microscopy
Theme_Keyword: acridine orange
Theme_Keyword: oxidation
Theme_Keyword: wood
Theme_Keyword: fungus
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Madison
Place_Keyword: Wisconsin
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: plants
Taxonomic_Keywords: fungi
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: ITIS
Publication_Date: 2016
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: database
Other_Citation_Details:
Retrieved [October, 6, 2016]
Online_Linkage: https://www.itis.gov
Classification_System_Modifications:
ITIS was used to provide taxonomy for plant species.
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: Catalogue of Life
Publication_Date: 2016
Title:
Catalogue of Life: 2016 Annual Checklist
Geospatial_Data_Presentation_Form: database
Online_Linkage: //www.catalogueoflife.org
Classification_System_Modifications:
Catalogue of Life was used to provide taxonomy for fungi.
Taxonomic_Procedures:
Taxonomic_Completeness:
Taxonomy list is complete and up to date on current scientific names (October 30, 2014).
Taxonomic_Classification:
Taxon_Rank_Name: Empire
Taxon_Rank_Value: Biovitae
Applicable_Common_Name: Carbon-based lifeforms
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Plantae
Applicable_Common_Name: plantes
Applicable_Common_Name: Planta
Applicable_Common_Name: Vegetal
Applicable_Common_Name: plants
Taxonomic_Classification:
Taxon_Rank_Name: Subkingdom
Taxon_Rank_Value: Viridiplantae
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Streptophyta
Applicable_Common_Name: land plants
Taxonomic_Classification:
Taxon_Rank_Name: Superdivision
Taxon_Rank_Value: Embryophyta
Taxonomic_Classification:
Taxon_Rank_Name: Division
Taxon_Rank_Value: Tracheophyta
Applicable_Common_Name: vascular plants
Applicable_Common_Name: tracheophytes
Taxonomic_Classification:
Taxon_Rank_Name: Subdivision
Taxon_Rank_Value: Spermatophytina
Applicable_Common_Name: spermatophytes
Applicable_Common_Name: seed plants
Applicable_Common_Name: phanérogames
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Pinopsida
Applicable_Common_Name: conifers
Taxonomic_Classification:
Taxon_Rank_Name: Subclass
Taxon_Rank_Value: Pinidae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Pinales
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Pinaceae
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Picea
Applicable_Common_Name: spruce
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Picea glauca
Applicable_Common_Name: Black Hills spruce
Applicable_Common_Name: Canadian spruce
Applicable_Common_Name: cat spruce
Applicable_Common_Name: skunk spruce
Applicable_Common_Name: western white spruce
Applicable_Common_Name: white spruce
Taxonomic_Classification:
Taxon_Rank_Name: Kingdom
Taxon_Rank_Value: Fungi
Taxonomic_Classification:
Taxon_Rank_Name: Phylum
Taxon_Rank_Value: Basidiomycota
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Agaricomycetes
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Boletales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Serpulaceae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Serpula
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Serpula lacrymans
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Polyporales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Polyporaceae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Rhodonia
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Postia placenta
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Phanerochaetaceae
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Phanerodontia
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Phanerochaete chrysosporium
Access_Constraints: None
Use_Constraints:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data publication:

Houtman, Carl J.; Hunt, Chris G.; Hammel, Ken E. 2016. Fluorescence emission images of wood stained with acridine orange. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0022
Data_Set_Credit:
Funding for this study was provided by US Department of Energy grants DE-AI02-07ER64491 (CGH and KEH) and DE-SC0006929 (KEH, CGH, and CJH). Other support was provided by the USDA, Forest Service, Forest Products Laboratory.
Cross_Reference:
Citation_Information:
Originator: Houtman, Carl J.
Originator: Kitin, Peter
Originator: Houtman, Jon C. D.
Originator: Hammel, Kenneth E.
Originator: Hunt, Chrisopher G.
Publication_Date: 2016
Title:
Acridine orange indicates early oxidation of wood cell walls by fungi
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: PLoS ONE
Issue_Identification: 11(7):e0159715
Online_Linkage: https://doi.org/10.1371/journal.pone.0159715
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Careful statistical analysis with full replication was used to estimate the 95% confidence intervals around calculated values. For example, with each transverse section, 10 different spots were imaged, 5 earlywood and 5 latewood. Three different sections were imaged, for a total of 30 images per treatment.
Logical_Consistency_Report:
Not applicable
Completeness_Report:
For the acridine staining micrographs, only images of early wood are shown. Images of late wood were taken, but the staining effect is more pronounced for the early wood sections. The impact of acidification on the staining of wood was explored, but there was no clear impact on the red green ratios.
Lineage:
Methodology:
Methodology_Type: Lab
Methodology_Description:
WOOD SAMPLE PREPARATION

Transverse and longitudinal sections 40 micrometers (µm) thick were cut from green, frozen white spruce (Picea glauca) sapwood blocks (1×1×4 centimeters [cm]) using a microtome. The 4-cm dimension was in the longitudinal direction. The blocks were stored frozen and were thawed before sectioning. To ensure that wood sample surfaces were not previously oxidized, sections were taken at approximately 2 millimeters (mm) below the wood surface. Sections were saved refrigerated in a covered glass Petri dish.


FUNGUS TREATMENT

Spruce blocks, as described above, were exposed to fungal hyphae by placing them on nylon mesh in a Petri dish containing potato dextrose agar that had been inoculated beforehand and fully colonized by individual fungi. All isolates were obtained from the Center for Forest Mycology Research, Forest Products Laboratory, Madison, WI, fungal culture bank. Incubations were conducted with the following isolated basidiomycetes at the indicated temperatures: Postia placenta MAD-698-R (29 °Celsius [C]), Phanerochaete chrysosporium BKM-F-1767 (29 °C), and Serpula lacrymans Harms-888-R (23 °C). After exposure to the fungi for 3, 5, or 7 days, the blocks were placed in a parafilm-sealed glass dish and frozen to stop any further growth. The blocks were thawed, and transverse sections were cut from the interior of blocks using a microtome. The sections were obtained by cutting the blocks with a saw and then sectioning the cut surface. Relatively complete sections were obtained, but they were noticeably more fragile than fresh wood sections.


STAINING PROCEDURE

Three sections were placed in a 100-mm Petri dish. Then 15 milliter (mL) of 50 micromoles/liter (µmol/L) AO solution in 100 millimoles/liter (mmol/L) phosphate buffer, pH 7.1, was added. These samples were left in the dye solution, covered, and placed in the refrigerator for 24 hours. For imaging, the sections were placed on slides with cover slips without washing.


IMAGING

Confocal imaging was done on a Zeiss 510 Meta confocal laser scanning microscope, using a 1.2 NA 40× water objective. Images were acquired in 2-µm thick optical sections and a pixel width of 0.45 µm. With 458-nanometer (nm) excitation, green emission was collected at 500–550 nm and red emission was collected with a 560 nm long pass filter.

Fluorescence lifetime imaging microscopy (FLIM) was performed on a Leica SP5 II scanning laser confocal with an integrated PicoQuant FLIM system (PicoQuant PicoHarp 300 TCSPC module) at the University of Pennsylvania Penn Vet Imaging Core Facility. FLIM excitation was at 470 nm (PicoQuant Sepia II multichannel picosecond diode laser) with 505–530-nm emission. To take the confocal images, the sections were excited at 488 nm with detection at 500–540 nm for green and 600–670 nm for red emission.

Widefield fluorescence images were taken with a Flea3 digital camera model FL3-U3-88S2C-C (Point Grey) mounted via C-mount adaptor on a Leitz Orthoplan epifluorescence microscope with 390–490-nm excitation and a 515-nm long pass filter, with a xenon-arc lamp. With each transverse section, 10 different spots were imaged, 5 earlywood and 5 latewood. Three different sections were imaged, for a total of 30 images per treatment. For the longitudinal sections, only 5 images were taken, and we did not try to isolate earlywood and latewood cells in these images.

For further information see the materials and methods section of cited publication.
Methodology_Citation:
Citation_Information:
Originator: Houtman, Carl J.
Originator: Kitin, Peter
Originator: Houtman, Jon C. D.
Originator: Hammel, Kenneth E.
Originator: Hunt, Chrisopher G.
Publication_Date: 2016
Title:
Acridine orange indicates early oxidation of wood cell walls by fungi
Geospatial_Data_Presentation_Form: Journal Article
Series_Information:
Series_Name: PLoS ONE
Issue_Identification: 11(7):e0159715
Online_Linkage: https://doi.org/10.1371/journal.pone.0159715
Process_Step:
Process_Description:
The images presented are demosaiced using a nearest neighbor algorithm. There was no further processing of the images.
Process_Date: 2016
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
This data publication contains data used in Houtman et al. 2016. Below you will find a description of the files found within the specified folders and a complete description of their contents (including variable descriptions where applicable).

\Data\Confocal_images\Lifetime\cnf_*.tif or FLIM_*.tif
Flat RGB .tif files of confocal and corresponding lifetime images. Size 512 x 512 with a pixel size of 0.41 um. (where * = control## and each number is a different location on untreated spruce samples; or treated## and each number is a different location on chlorite-delignified spruce sections)

\Data\Confocal_images\Native_confocal_spruce\Image*.tif
Flat RGB .tif files of confocal images of native spruce. Various sizes with a typical pixel size of 0.11 um. (where * = 01, 02, ..., 09 and each number is a different locations on untreated spruce samples)

\Data\Other_exp_results\blank_image_2015-02-09-160315-0000.tif
Flat RGB .tif file of blank camera image, i.e., image with no light exposure.

\Data\Other_exp_results\Emission_spectra.csv
Comma-delimited ASCII text file containing the emission spectra of the monomer and dimer overlaid on the camera response function. The variables include:

Camera response function adapted from https://www.ptgrey.com/support/downloads/10110
Wavelength = wavelength of light (nm = nanometers)
Blue = quantum efficiency of blue camera channel (%)
Green = quantum efficiency of green camera channel (%)
Red = quantum efficiency of red camera channel (%)

Emission Spectra = experimentally determined emission spectra
Wavelength = wavelength of light (nm)
Monomer = intensity of emission from a wood section stained with acridine orange under conditions that give largely AO monomers. Arbitrary scale to allow comparison with the camera quantum efficiency. (arb.)
Dimer = intensity of emission from a wood section stained with acridine orange under conditions that give largely AO dimers. Arbitrary scale to allow comparison with the camera quantum efficiency. (arb.)

\Data\Other_exp_results\Emission_spectra.tif
Flat RGB .tif file showing a plot of the data found in the Emission_spectra.csv file.

\Data\Other_exp_results\RG Results database.csv
Comma-delimited ASCII text file containing a summary of the Red/Green ratio data for all the images taken for this study. Below is a description of the data found.

Sample = identification of the materials sampled. If the substance is not identified it is a transverse section of spruce wood.
Treatment = identification of the treatments can include: acetic acid, acid chlorite, fungus and autoclaving.
Early/late = identification of the part of the wood annual ring sampled.
Staining method = early work used test tubes for the staining, later work used petri plates, which gave more consistent results.
Stain time = length of time the sample remained in the AO solution before imaging.
Buffer = samples were stained either in phosphate (pH 7.1) or borate (pH 9.0) buffer.
Result = the average pixel by pixel red/green ratio as calculated from at least 15 images.
95% CI = the 95% confidence interval based on the variation between measurements of the individual images, calculated using Student’s t formalism.

\Data\Other_exp_results\ITC\Compiled Data ITC.csv
Comma-delimited ASCII text file containing the raw data of the heat flux versus time isothermal titration calorimetry (ITC) data. Below is a description of the data found.

Cell composition = the material in the cell of the ITC instrument. This can be either carboxymethylated agarose bead in phosphate buffer (Beads) or phosphate buffer (Buffer)

Injection composition = the material injected into the cell. This can be either calcium chloride in phosphate buffer (Calcium), acridine orange in phosphate buffer (AO), or phosphate buffer (Buffer)

Date = the date when the ITC run was completed.

The remainder of the columns are the corresponding heat flux data in units of microcalories. The first column is the run time, which is the same for all the data sets.

\Data\Other_exp_results\ITC\Do integrations 4.xlsm
Microsoft Excel macro file containing the macro used to analyze the ITC data.

\Data\Transmission_wood_sections\Phlouroglucinol\Control*.tif, Phanerochaete*.tif, Postia*.tif, or Serpula*.tif
Flat RGB .tif files of micrograph images of fungus-treated wood stained with phloroglucinol. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. (where * = fungus, section number, earlywood ring number, date, and time).

\Data\WFF_iso_substances\Agarose_beads\Beaded Agarose Gel Sample*.tif
Flat RGB .tif files of micrograph images of aragose beads stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = image number, sample location, date, and time)

\Data\WFF_iso_substances\MCC\MCC Image*.tif
Flat RGB .tif files of micrograph images of microcrystalline cellulose (MCC) stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = image number, date, and time)

\Data\WFF_iso_substances\Oxidized_cellulose\Oxidized Cellulose Image*.tif
Flat RGB .tif files of micrograph images of periodate oxided cellulose stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = image number, date, and time)

\Data\WFF_iso_substances\Oxidized_MWL\Oxidized MWL*.tif
Flat RGB .tif files of micrograph images of spruce milled-wood lignin (MWL) stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = location number, date, and time)

\Data\WFF_iso_substances\Spruce_MWL\Spruce Lignin*.tif
Flat RGB .tif files of micrograph images of oxidized spruce milled-wood lignin (MWL) stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = location number, date, and time)

\Data\WFF_wood_sections\AAPH_treated\AAPH*.tif
Flat RGB .tif files of micrograph images of AAPH-treated spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Acetic_acid_washed_spruce\AA*.tif
Flat RGB .tif files of micrograph images of acetic acid-washed spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Aged_one_week\Control*.tif
Flat RGB .tif files of micrograph images of one week-aged spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Autoclaved_spruce\Autoclaved*.tif
Flat RGB .tif files of micrograph images of autoclaved spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Delignified_spruce\Delignified Wood Sample*.tif
Flat RGB .tif files of micrograph images of acid chlorite delignified spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = sample number, location number, date, and time)

\Data\WFF_wood_sections\Fresh_cut_spruce\Native Wood*.tif
Flat RGB .tif files of micrograph images of native spruce wood stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py is the Python script used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Fungus_treated_spruce\3_day \Control*.tif, Phanerochaete.tif, Postia*.tif, or Serpula*.tif
Flat RGB .tif files of micrograph images of spruce wood exposed to fungus for 3 days stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py are Python scripts used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Fungus_treated_spruce\5_day\Phanerochaete*.tif, Postia*.tif, or Serpula*.tif
Flat RGB .tif files of micrograph images of spruce wood exposed to fungus for 5 days stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py are Python scripts used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)

\Data\WFF_wood_sections\Fungus_treated_spruce\7_day\Phanerochaete*.tif, Postia*.tif, or Serpula*.tif
Flat RGB .tif files of micrograph images of spruce wood exposed to fungus for 7 days stained with acridine orange. The image has 4096 x 2160 pixels, with a pixel size of 0.2 um. The file Plot_Hist_filter_image2.py are Python scripts used to calculate the R/G ratio for these images. (where * = section number, earlywood ring number, date, and time)
Entity_and_Attribute_Detail_Citation:
Houtman, Carl J.; Kitin, Peter; Houtman, Jon C. D.; Hammel, Kenneth E.; Hunt Christopher G. 2016. Acridine orange indicates early oxidation of wood cell walls by fungi. PLoS ONE 11(7): e0159715. https://doi.org/10.1371/journal.pone.0159715
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Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Research and Development
Contact_Position: Research Data Archivist
Contact_Address:
Address_Type: mailing and physical
Address: 240 West Prospect Road
City: Fort Collins
State_or_Province: CO
Postal_Code: 80526
Country: USA
Contact_Voice_Telephone: see Contact Instructions
Contact Instructions: This contact information was current as of December 2016. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2016-0022
Distribution_Liability:
Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: TIFF
Format_Version_Number: see Format Specification
Format_Specification:
Flat RGB *.tif files
File_Decompression_Technique: Files zipped with Winzip 14.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2016-0022
Digital_Form:
Digital_Transfer_Information:
Format_Name: ASCII
Format_Version_Number: see Format Specification
Format_Specification:
ASCII file containing Python script (*.py), and comma-delimited ASCII text files (*.csv)
File_Decompression_Technique: Files zipped using Winzip 14.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2016-0022
Digital_Form:
Digital_Transfer_Information:
Format_Name: XLSM
Format_Version_Number: see Format Specification
Format_Specification:
Microsoft Excel macro file (*.xlsm)
File_Decompression_Technique: Files zipped using Winzip 14.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2016-0022
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20161216
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Carl Houtman
Contact_Organization: USDA Forest Service, Forest Products Lab
Contact_Position: Chemical Engineer
Contact_Address:
Address_Type: mailing and physical
Address: One Gifford Pinchot Drive
City: Madison
State_or_Province: WI
Postal_Code: 53726
Country: USA
Contact_Voice_Telephone: 608-231-9445
Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001.1-1999
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