Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – temperature profile

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Clark, Kenneth L.
Originator: Gallagher, Michael R.
Originator: Mueller, Eric V.
Originator: Hadden, Rory M.
Originator: Walker-Ravena, Carlos
Originator: Campbell-Lochrie, Zakary J.
Originator: Cole, Jason A.
Originator: Patterson, Matthew M.
Originator: Everland, Alexis I.
Originator: Skowronski, Nicholas S.
Publication_Date: 2023
Title:
Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – temperature profile
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2022-0096
Description:
Abstract:
The United States Department of Defense (DoD) Strategic Environmental Research and Development Program (SERDP) funded project: Multi-scale Analyses of Wildland Fire Combustion Processes in Open-canopied Forests using Coupled and Iteratively Informed Laboratory-, Field-, and Model-based Approaches (RC-2641) conducted a large-scale (management-scale) field experiment during an operational prescribed burn to quantify how atmospheric dynamics across a wide range of spatial and temporal scales affect fire propagation, energy exchange, and fuel consumption. This experiment also provided an opportunity to fully examine how combustion related processes transfer across scales of particles and simple fuel beds in the laboratory, wind tunnel, small-scale, and operational prescribed burns as instrumentation used in small-scale field experiments was embedded in this experiment. In addition, the large-scale experiment also provides data necessary for simulation and model testing of coupled atmosphere-fire behavior prediction systems (e.g., WRF-SFire, WFDS, QUIC-Fire, FIRETEC) and coupled atmosphere-canopy-smoke dispersion prediction systems (e.g., ARPS-Canopy/FLEXPART). The large-scale field experiment includes data from a heavily instrumented ~12.1 hectare (ha) management-scale fire conducted at the Silas Little Experimental Forest in the Pinelands National Reserve (PNR) on March 13, 2019.

This data publication contains temperature data collected using forty-two Omega K-type thermocouples (KMTXL-IOM25G-150, Omega Engineering Inc., Norwalk, CT). Seven thermocouples were arranged in a vertical profile on the north, east, west and flux towers at 0.25, 0.5, 1.2, 2.5, 5, 10 and 15 meters (m) above the ground. Eleven thermocouples were located on the south tower at 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10 m above the ground. Three thermocouples were located on the control tower approximately 225 m north of the burn area mounted at 5, 10, and 15 m above the ground. Thermocouples were logged at 10 hertz (Hz) using CR3000 dataloggers, and data were used to estimate arrival times, persistence, and height and tilt of flame fronts.
Purpose:
Many DoD facilities utilize low intensity prescribed fire to manage hazardous fuels, restore ecological function and historic fire regimes, and encourage the recovery of threatened and endangered species in the forests they manage. Current predictive models used to simulate fire behavior during low-intensity prescribed fires (and wildfires) are empirically based, simplistic, and fail to adequately predict fire outcomes because they do not account for variability in fuel characteristics and interactions with important meteorological variables. This study used a suite of measurements at the fuel particle, fuel bed, field plot, and stand scales to quantify how variability in fuel characteristics and key meteorological factors interact to drive fire behavior during low intensity prescribed burns. These experiments were designed to inform the development and evaluation of mechanistic, physics-based models that explicitly account for combustion, turbulent transfer, and energy exchange by coupling and scaling individual component processes. These datasets provide measurements to improve the understanding of, and ability to accurately predict, fire behavior under a wide range of management scenarios.
Supplemental_Information:
A summary of the SERDP Project RC-2641 can be found at the RC-2641 Project Overview (serdp-estcp.org): https://www.serdp-estcp.org/projects/details/a4a4642d-f2be-4e52-b678-454fe06afbc2/rc-2641-project-overview.

Please reference the burn layout and documentation data publication (Gallagher et al. 2023, https://doi.org/10.2737/RDS-2022-0089) as these data provide the sensor locations of each burn, a detailed description of data collected and a summary of the conditions during the burn periods.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 20190313
Currentness_Reference:
Observed
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Description_of_Geographic_Extent:
The large-scale field experiment was conducted at the United States Department of Agriculture, Forest Service, Northern Research Station Silas Little Experimental Forest, located in New Lisbon, New Jersey at approximately 39.917740 north latitude and -74.596422 west longitude within the New Jersey Pinelands National Reserve.
Bounding_Coordinates:
West_Bounding_Coordinate: -74.59739
East_Bounding_Coordinate: -74.59215
North_Bounding_Coordinate: 39.91794
South_Bounding_Coordinate: 39.91179
Keywords:
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: fire behavior
Theme_Keyword: fire spread
Theme_Keyword: combustion
Theme_Keyword: computational fluid dynamics
Theme_Keyword: aerodynamic drag
Theme_Keyword: fuel structure and loading
Theme_Keyword: heat fluxes
Theme_Keyword: prescribed burn
Theme_Keyword: prescribed fir
Theme_Keyword: temperature
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: biota
Theme_Keyword: climatologyMeteorologyAtmosphere
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: National Research & Development Taxonomy
Theme_Keyword: Fire
Theme_Keyword: Fire suppression, pre-suppression
Theme_Keyword: Prescribed fire
Theme_Keyword: Smoke
Theme_Keyword: Wildland/urban interface
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Silas Little Experimental Forest
Place_Keyword: New Jersey
Place_Keyword: Burlington County
Place_Keyword: Pinelands National Reserve
Place_Keyword: PNR
Place_Keyword: Pine Barrens
Place_Keyword: NJPB
Place_Keyword: Pine Lands
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 product:

Clark, Kenneth L.; Gallagher, Michael R.; Mueller, Eric V.; Hadden, Rory M.; Walker-Ravena, Carlos; Campbell-Lochrie, Zakary J.; Cole, Jason A.; Patterson, Matthew M.; Everland, Alexis I.; Skowronski, Nicholas S. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – temperature profile. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0096
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Person: Nicholas Skowronski
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical
Address: 180 Canfield St.
City: Morgantown
State_or_Province: WV
Postal_Code: 26505
Country: USA
Contact_Voice_Telephone: 304-285-1507
Contact_Electronic_Mail_Address: nicholas.s.skowronski@usda.gov
Data_Set_Credit:
Funding for this project provided by Strategic Environmental Research and Development Program (SERDP RC-2641): https://www.serdp-estcp.org/projects/details/a4a4642d-f2be-4e52-b678-454fe06afbc2/rc-2641-project-overview. Salary funding also provided by USDA Forest Service, Northern Research Station.


Author Information:

Clark, Kenneth L.
USDA Forest Service, Northern Research Station (Co-PI)
https://orcid.org/0000-0003-0534-9677

Gallagher, Michael R.
USDA Forest Service, Northern Research Station (Co-PI)
https://orcid.org/0000-0003-0175-558X

Mueller, Eric V.
University of Edinburgh (Post Doc)
https://orcid.org/0000-0002-0838-6820

Hadden, Rory M.
University of Edinburgh (Co-PI)
https://orcid.org/0000-0001-6985-8900

Walker-Ravena, Carlos
University of Edinburgh (PhD Student)
https://orcid.org/0000-0002-8340-4216

Campbell-Lochrie, Zakary J.
University of Edinburgh (PhD Student)
https://orcid.org/0000-0001-8055-0405

Cole, Jason A.
USDA Forest Service, Northern Research Station (Data Manager)
https://orcid.org/0000-0003-2678-3624

Patterson, Matthew M.
USDA Forest Service, Northern Research Station (Research Technician)
https://orcid.org/0000-0001-5115-4438

Everland, Alexis I.
New Jersey Department of Environmental Protection, Forest Fire Service
https://orcid.org/0000-0002-1253-6967

Skowronski, Nicholas S.
USDA Forest Service, Northern Research Station (PI)
https://orcid.org/0000-0002-5801-5614
Cross_Reference:
Citation_Information:
Originator: Gallagher, Michael R.
Originator: Skowronski, Nicholas S.
Originator: Hadden, Rory M.
Originator: Mueller, Eric V.
Originator: Clark, Kenneth L.
Originator: Campbell-Lochrie, Zakary J.
Originator: Walker-Ravena, Carlos
Originator: Kremens, Robert L.
Originator: Everland, Alexis I.
Originator: Patterson, Matthew M.
Originator: Cole, Jason A.
Originator: Heilman, Warren E.
Originator: Charney, Joseph J.
Originator: Bian, Xindi
Originator: Mell, William E.
Originator: Hom, John L.
Originator: Im, Seong-kyun
Originator: Kiefer, Michael T.
Originator: Zhong, Shiyuan
Originator: Simeoni, Albert J.
Originator: Rangwala, Ali
Originator: Di Cristina, Giovanni
Originator: Sietz, Joseph
Publication_Date: 2023
Title:
Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – burn layout and documentation
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2022-0089
Cross_Reference:
Citation_Information:
Originator: Gallagher, Michael R.
Originator: Skowronski, Nicholas S.
Originator: Hadden, Rory M.
Originator: Mueller, Eric V.
Originator: Clark, Kenneth L.
Originator: Campbell-Lochrie, Zakary J.
Originator: Walker-Ravena, Carlos
Originator: Kremens, Robert L.
Originator: Everland, Alexis I.
Originator: Patterson, Matthew M.
Originator: Cole, Jason A.
Originator: Heilman, Warren E.
Originator: Charney, Joseph J.
Originator: Bian, Xindi
Originator: Mell, William E.
Originator: Hom, John L.
Originator: Im, Seong-kyun
Originator: Kiefer, Michael T.
Originator: Zhong, Shiyuan
Originator: Simeoni, Albert J.
Originator: Rangwala, Ali
Originator: Di Cristina, Giovanni
Publication_Date: 2022
Title:
Multi-scale analyses of wildland fire combustion processes: Small-scale field experiments - plot layout and documentation
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2022-0079
Analytical_Tool:
Analytical_Tool_Description:
Plotly open source graphing library for Python
Tool_Access_Information:
Online_Linkage: https://plotly.com/python/
Tool_Access_Instructions:
see website
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Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Omega Engineering thermocouples (KMTXL-IOM25G-150) were used with factory calibrations. K-type (Nickel Chromium) thermocouples have a most useful range of 0 to 200 degrees Celsius (°C) and a maximum range of -200 to 1250 °C. Reported accuracy is 0.5 °C or 0.4% of measured values.

All thermocouple data were manually inspected. All data include a DIAG code to identify suspect data. It is the user’s responsibility to ensure that these data are adequate for their study. See \Data\SERDP_TC_Raw\TC_Error.csv for amount of missing or suspect data in each file.

Diagnostic codes were as follows and can be found in supplemental file \Supplements\SERDP_LS_TC\TC_DiagCodes.csv:
0 = No error, valid measurement.
1 = TC wired incorrectly to datalogger data line is negative when it should be positive.
2 = TC wire short, missing data or data present are incorrect.
3 = TC tip touching boom, data line is flat with very little noise and slow return to air temp after fire front.


Note: If a sensor malfunctioned for the entire burn period, no data were archived.
Logical_Consistency_Report:
The data are logically consistent. The consistency was verified as part of the quality assurance that occurred during data analysis. All data were manually inspected, assigning a DIAG code to data that look suspect. All data are included with a DIAG code to identify suspect data. It is the user’s responsibility to decide if the data are adequate for their study.
Completeness_Report:
Data are considered complete. Data were archived based on the archive start time and the archive end time where data were available. The archive start time is approximately 40 minutes before the burn start time. All data collected during the archive time are included. Null or missing data are represented by NaN (not a number). NaN values were caused by instrument or data logger error and no data are available. See the included \Data\SERDP_TC_Raw\TC_Error.csv for data missing from each file. If a sensor or datalogger malfunctioned or was not operational for the entire burn period, no data were archived.
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
Seven thermocouples were arranged in vertical arrays on the north, east, west and flux towers at 0.25, 0.5, 1.2, 2.5, 5, 10 and 15 meters (m) above the ground. Eleven thermocouples were located on the south tower at 0.5, 1, 2, 3, 4, 5, 6, 7, 8 9, and 10 m above the ground. Three thermocouples were located on the control tower approximately 225 m north of the burn area mounted at 5, 10, and 15 m above the ground. Thermocouples were logged using Campbell Scientific CR-3000 dataloggers on analog channels operating at 10 hertz (Hz) collecting temperature (degrees Celsius [°C]).

For more details about the study design, burn layout and documentation see Gallagher et al. (2023).
Methodology_Citation:
Citation_Information:
Originator: Gallagher, Michael R.
Originator: Skowronski, Nicholas S.
Originator: Hadden, Rory M.
Originator: Mueller, Eric V.
Originator: Clark, Kenneth L.
Originator: Campbell-Lochrie, Zakary J.
Originator: Walker-Ravena, Carlos
Originator: Kremens, Robert L.
Originator: Everland, Alexis I.
Originator: Patterson, Matthew M.
Originator: Cole, Jason A.
Originator: Heilman, Warren E.
Originator: Charney, Joseph J.
Originator: Bian, Xindi
Originator: Mell, William E.
Originator: Hom, John L.
Originator: Im, Seong-kyun
Originator: Kiefer, Michael T.
Originator: Zhong, Shiyuan
Originator: Simeoni, Albert J.
Originator: Rangwala, Ali
Originator: Di Cristina, Giovanni
Originator: Sietz, Joseph
Publication_Date: 2023
Title:
Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments – burn layout and documentation
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Online_Linkage: https://doi.org/10.2737/RDS-2022-0089
Process_Step:
Process_Description:
Multiple sensors were collected on a single datalogger using a generic naming convention and logged in a single file. A Python script was used to separate each sensor into individual files and name the files based on the sensor location. The script cut the file to the specified time of interest. The script also added missing records filing the TIMSTAMP and RECORD fields with the correct values and all other fields with NaN (not a number) so the time series between sensors would match. Lastly the script assigned a diagnostic code identifying values that were outside the sensors range.

A second Python script was used to create an error table identifying the percentage of missing data or data with suspect values using NaN vales and the diagnostic codes, respectively.

HTML graphics were created to give the user a visual representation of the data using Plotly’s Python graphing library (https://plotly.com/python/). The Python script plotted variables with a valid diagnostic code over time.
Process_Date: Unknown
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Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
Below you will find a list and description of the files included in this data publication.

VARIABLE DESCRIPTION FILE (1)

1. \Data\SERDP_LS_TC_Raw\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data and supplemental files, if applicable. (A description of these variables is also provided in the metadata below.)

Columns include:

Filename = name of data file
Variable = name of variable
Units = units (if applicable)
Precision = precision (if applicable)
Description = description of variable


DATA FILES (14)

1. \Data\SERDP_LS_TC_Raw\TC_Error.csv: CSV file containing data for all burns that identifies the percentage (%) of missing data (NaN) and data with suspect diagnostic codes.

Variables include:

BURN = Numeric value identifying an individual burn.

SENSOR = Sensor location:
F = Flux Tower
N = North Tower
E = East Tower
S = South Tower
W = West Tower
C = Control Tower

MISS_AT_START = Missing time (seconds [s]) from the archive start time (referenced in the burn layout and documentation data publication, Gallagher et al. (2023)) until the start of data collection.

MISS_BT_START = Missing time (s) from the burn start time (referenced in the burn layout and documentation data publication, Gallagher et al. (2023)) until the start of data collection.

MISS_AT_END = Missing time (s) from the end of data collection to the archive end time (referenced in the burn layout and documentation data publication, Gallagher et al. (2023)).

T##_ERROR = Thermocouple ## error (percent) at approximate specified height above ground (HAG). Approximate heights for each HAG code can be found in \Supplements\Ref_LS_TC_Heightcode.csv. The percent of NaN values during data collection.

T##_DIAG_ERROR = Thermocouple ## diagnostic error (percent). The percent of data where DIAG code was not equal to zero.


2-7. \Data\SERDP_LS_TC_Raw\Burn01_TC\Burn01_TC_##.csv: CSV files containing temperatures per thermocouple array collected at multiple measurement locations (##) within the burn unit. The first # represents the burn area location (C = control, E = east, F = flux, N = north, W = west towers, S = south tower), the second # represents the sublocation within the burn area (1). See burn layout and documentation data publication (Gallagher et al. 2023) for details. There is one CSV per thermocouple array, resulting in 6 files in this folder. Note that each thermocouple measured at different HAGs.

Variables include:

TIMESTAMP = Datetime in yyyy-MM-dd hh:mm:ss.0, where yyyy = year, MM = month, dd = day, hh = hour, mm = minutes, and ss.0 = seconds. Local (EST) time adjusted for daylight savings. (NaN = collection error, no data available) - Note in Excel, set the specified format (yyyy-MM-dd hh:mm:ss.0) using the custom category to view the data correctly.

RECORD = Unique record identifier.

T## = Thermocouple ## temperature (degrees Celsius [°C]) at approximate specified height above ground (HAG). Approximate heights for each HAG code can be found in \Supplements\Ref_LS_TC_Heightcode.csv.

T##_DIAG = Thermocouple ## diagnostic code (0 = good data, 1 = thermocouple was wired incorrectly to datalogger, 2 = thermocouple wire short and data are incorrect [which only occurs in S1 T02_DIAG]). Specified HAG codes can be found in \Supplements\Ref_LS_TC_Heightcode.csv.


8-14. \Data\SERDP_LS_TC_Raw\Burn01_TC_Graphs\Burn01_TC_##_DIAG.html: HyperText Markup Language (HTML) files containing a visual representation of temperature data for each TC array per burn. The first # represents the burn area location (C = control, E = east, F = flux, N = north, W = west towers, S = south tower), the second # represents the sublocation within the burn area (1). Each graph includes temperature data with no known issues (DIAG = 0). This folder contains 6 files.


SUPPLEMENTAL FILES (5)

1. \Supplements\SERDP_LS_TC\KMTXL_NMTXL.pdf: Portable document format (PDF) file containing the product manual for Super OMEGACLAD XL Thermocouple Probes.


2. \Supplements\SERDP_LS_TC\Ref_LS_TC_HgtCode.csv: CSV file containing height above ground (HAG) codes used and the heights they represent (in meters).

Columns include:

HAG_CODE = Height above ground (HAG) code given to thermocouples (T##) and the heights each code represents. (Please note the '0' is missing in front of single digit codes within the CSV.)

HAG = Height above ground in meters.


3. \Supplements\SERDP_LS_TC\TC_DiagCodes.csv: CSV file containing diagnostic codes.

Columns include:

DIAG_CD = Diagnostic code (0-3)

DIAG_DESCR = Description of diagnostic code

INDICATION = Indication of diagnostic code


4. \Supplements\SERDP_LS_TC\thermocouple-type-k-celsius.pdf: PDF file containing type K revised thermocouple reference tables.


Additionally, please reference the burn layout & documentation data publication (Gallagher et al. 2023) as that dataset provides the sensor locations of each burn, a detailed description of the data collected and a summary of the conditions during the burn periods.
Entity_and_Attribute_Detail_Citation:
Gallagher, Michael R.; Skowronski, Nicholas S.; Hadden, Rory M.; Mueller, Eric V.; Clark, Kenneth L.; Campbell-Lochrie, Zakary J.; Walker-Ravena, Carlos; Kremens, Robert L.; Everland, Alexis I.; Patterson, Matthew M.; Cole, Jason A.; Heilman, Warren E.; Charney, Joseph J.; Bian, Xindi; Mell, William E.; Hom, John L.; Im, Seong-kyun; Kiefer, Michael T.; Zhong, Shiyuan; Simeoni, Albert J.; Rangwala, Ali; Di Cristina, Giovanni; Sietz, Joseph. 2023. Multi-scale analyses of wildland fire combustion processes: Large-scale field experiments - burn layout and documentation. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0089
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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 June 2023. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
Resource_Description: RDS-2022-0096
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: CSV
Format_Version_Number: see Format Specification
Format_Specification:
Comma-separated values file
File_Decompression_Technique: Files zipped with 7-Zip 19.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2022-0096
Digital_Form:
Digital_Transfer_Information:
Format_Name: HTML
Format_Version_Number: see Format Specification
Format_Specification:
HyperText Markup Language file
File_Decompression_Technique: Files zipped with 7-Zip 19.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2022-0096
Digital_Form:
Digital_Transfer_Information:
Format_Name: PDF
Format_Version_Number: see Format Specifications
Format_Specification:
Portable Document Format file
File_Decompression_Technique: Files zipped with 7-Zip 19.0
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: https://doi.org/10.2737/RDS-2022-0096
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20230601
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: USDA Forest Service, Northern Research Station
Contact_Person: Nicholas Skowronski
Contact_Position: Research Forester
Contact_Address:
Address_Type: mailing and physical
Address: 180 Canfield St.
City: Morgantown
State_or_Province: WV
Postal_Code: 26505
Country: USA
Contact_Voice_Telephone: 304-285-1507
Contact_Electronic_Mail_Address: nicholas.s.skowronski@usda.gov
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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