This readme.txt file was generated on 20200821 by Laura Williams

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GENERAL INFORMATION
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1. Title of Dataset
Data and code for remote spectral detection of biodiversity effects on forest biomass.

2. Author Information

Principal Investigator Contact Information
Name: Laura J. Williams
Institution: University of Minnesota
Address: Green Hall, 1530 Cleveland Ave. N, St Paul, MN 55108
Email:
will3972@umn.edu
ORCID: 0000-0003-3555-4778

Associate or Co-investigator Contact Information
Name: Jeannine Cavender-Bares
Institution: University of Minnesota
Address: 140 Gortner Labs, 1479 Gortner Ave, St Paul, MN 55108
Email: cavender@umn.edu

Associate or Co-investigator Contact Information
Name: Philip A. Townsend
Institution: University of Wisconsin-Madison
Address: 1630 Linden Drive, Madison, WI 53706
Email: ptownsend@wisc.edu

Associate or Co-investigator Contact Information
Name: John J. Couture
Institution: Purdue University
Address: 901 W. State St, West Layfayette, IN 47907
Email: couture@purdue.edu

Associate or Co-investigator Contact Information
Name: Zhihui Wang
Institution: University of Wisconsin-Madison
Address: 1630 Linden Drive, Madison, WI 53706
Email: zwang896@wisc.edu

Associate or Co-investigator Contact Information
Name: Artur Stefanski
Institution: University of Minnesota
Address: Green Hall, 1530 Cleveland Ave. N, St Paul, MN 55108
Email: stefa066@umn.edu

Associate or Co-investigator Contact Information
Name: Christian Messier
Institution: Universite du Quebec en Outaouais
Address: 58 Rue Principale, Ripon, Quebec JOV 1V0, Canada
Email: christian.messier@uqam.ca

Associate or Co-investigator Contact Information
Name: Peter B. Reich
Institution: University of Minnesota
Address: Green Hall, 1530 Cleveland Ave. N, St Paul, MN 55108
Email: preich@umn.edu

3. Date of data collection:
2014 - 2015

4. Geographic location of data collection (where was data collected?):
Data were collected at the International Diversity Experiment Network with Trees (IDENT) site at the Cloquet Forestry Center (Minnesota, USA, 46°40’46”N 92°31’12”W)

5. Information about funding sources that supported the collection of the data:
The project was funded by a National Science Foundation and National Aeronautic and Space Administration grant awarded to Jeannine Cavender-Bares (DEB-1342872) and Philip A. Townsend (DEB-1342778) through the Dimensions of Biodiversity program.

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data: Attribution-NonCommercial-NoDerivs 3.0 United States

2. Links to publications that cite or use the data:
Williams, L.J., Cavender-Bares, J., Townsend, P.A., Couture, J.J., Wang, Z., Stefanski, A., Messier, C., and Reich, P.B. Remote spectral detection of biodiversity effects on forest biomass. Nature Ecology & Evolution.

3. Links to other publicly accessible locations of the data: N/A

4. Links/relationships to ancillary data sets: N/A

5. Was data derived from another source? Yes.
If yes, list source(s): Imaging spectroscopy data (NASA AVIRIS-NG) can be downloaded from https://aviris-ng.jpl.nasa.gov/alt_locator/

6. Recommended citation for the data:
Williams, L.J., Cavender-Bares, J., Townsend, P.A., Couture, J.J., Wang, Z., Stefanski, A., Messier, C., and Reich, P.B. Data and code for remote spectral detection of biodiversity effects on forest biomass. Retrieved from the Data Repository for the University of Minnesota.

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DATA & FILE OVERVIEW
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1. Zipped File Contents

(1) Spectral_data.zip:
- Cloquet_plot_spectra_2014.csv
- Cloquet_plot_spectra_2015.csv
- Cloquet_plot_spectra_2014_resample.csv
- Cloquet_plot_spectra_2015_resample.csv
- Cloquet_wl.csv
- simmix14_tree.csv
- simmix15_tree.csv
- simmix14_uppercanopy.csv
- simmix15_uppercanopy.csv

(2) Spectrally_mapped_canopy_nitrogen.zip:
- Cloquet_mapped canopy N_2014.csv
- Cloquet_mapped canopy N_2015.csv
- Cloquet_mapped canopy N_2014_resample.csv
- Cloquet_mapped canopy N_2015_resample.csv

(3) Field_data.zip:
- IDENTCloquet_biomass.csv
- IDENTCloquet_plot codes.csv
- IDENTCloquet_species relative abundance.csv
- IDENTCloquet_manual canopy N.csv

(4) Spectral_model_coefficients.zip:
- IDENTCloquet_PLS-DA coefficients.csv
- IDENTCloquet_PLSR biomass Mgha_coefficients.csv
- IDENTCloquet_PLSR canopy N_coefficients.csv

(5) R_scripts.zip:
- Rscript_PLS-DA example.R
- Rscript_PLSR biomass example.R
- Rscript_applying PLSR and spectral diversity effects example.R
- Rscript_simulating spectra example.R
*NOTE: To run the R scripts, unzip all files and move all individual files into the same directory.

2. Individual File List
A. Filename: Cloquet_plot_spectra_2014.csv
Short description: Imaging spectroscopy data (NASA AVIRIS-NG) from August 25, 2014, extracted for study plots at the original spatial resolution of 0.8 m.

B. Filename: Cloquet_plot_spectra_2015.csv
Short description: Imaging spectroscopy data (NASA AVIRIS-NG) from August 30, 2015, extracted for study plots at the original spatial resolution of 0.8 m.

C. Filename: Cloquet_plot_spectra_2014_resample.csv
Short description: Imaging spectroscopy data (NASA AVIRIS-NG) from August 25, 2014, extracted for study plots following resampling to a finer spatial resolution of 0.1 m.

D. Filename: Cloquet_plot_spectra_2015_resample.csv
Short description: Imaging spectroscopy data (NASA AVIRIS-NG) from August 30, 2015, extracted for study plots following resampling to a finer spatial resolution of 0.1 m.

E. Filename: Cloquet_wl.csv
Short description: The mid point of the wavelength range (nm) that corresponds to each spectral band in the imaging spectroscopy data.

F. Filename: Cloquet_mapped canopy N_2014.csv
Short description: Spectrally mapped canopy nitrogen concentrations for 2014, extracted for study plots at the original spatial resolution of 0.8 m.

G. Filename: Cloquet_mapped canopy N_2015.csv
Short description: Spectrally mapped canopy nitrogen concentrations for 2015, extracted for study plots at the original spatial resolution of 0.8 m.

H. Filename: Cloquet_mapped canopy N_2014_resample.csv
Short description: Spectrally mapped canopy nitrogen concentrations for 2014, extracted for study plots following resampling to a finer spatial resolution of 0.1 m.

I. Filename: Cloquet_mapped canopy N_2015_resample.csv
Short description: Spectrally mapped canopy nitrogen concentrations for 2015, extracted for study plots following resampling to a finer spatial resolution of 0.1 m.

J. Filename: IDENTCloquet_biomass.csv
Short description: Field-based measurements of stem biomass, stem biomass growth, and net biodiversity effects on stem biomass and stem biomass growth for each of the study plots in 2014 and 2015.

K. Filename: IDENTCloquet_plot codes.csv
Short description: Various codes for the species present in plots.

L. Filename: IDENTCloquet_species relative abundance.csv
Short description: Relative abundance of species present in plots.

M. Filename: IDENTCloquet_manual canopy N.csv
Short description: Canopy nitrogen concentration (%) estimated for each study plot using destructively harvested leaves.

N. Filename: IDENTCloquet_PLS-DA coefficients.csv
Short description: Coefficients for PLS-DA model to identify species.

O. Filename: IDENTCloquet_PLSR biomass Mgha_coefficients.csv
Short description: Coefficients for PLSR model of stem biomass (Mg ha^-1).

P. Filename: IDENTCloquet_PLSR canopy N_coefficients.csv
Short description: Coefficients for PLSR model of canopy nitrogen concentration.

Q. Filename: simmix14_tree.csv
Short description: Mean spectral reflectance on mixed species plots in 2014 simulated from monoculture plots according to the proportion of trees planted per species (SimT).

R. Filename: simmix15_tree.csv
Short description: Mean spectral reflectance on mixed species plots in 2015 simulated from monoculture plots according to the proportion of trees planted per species (SimT).

S. Filename: simmix14_uppercanopy.csv
Short description: Mean spectral reflectance on mixed species plots in 2014 simulated from monoculture plots according to the upper canopy leaf area per species in mixture (SimL).

T. Filename: simmix15_uppercanopy.csv
Short description: Mean spectral reflectance on mixed species plots in 2015 simulated from monoculture plots according to the upper canopy leaf area per species in mixture (SimL).

U. Filename: Rscript_PLS-DA example.R
Short description: Example R script for fitting partial least squares discriminant analysis (PLS-DA) models to identify species.

V. Filename: Rscript_PLSR biomass example.R
Short description: Example R script for fitting partial least squares regression (PLSR) models of stem biomass.

W. Filename: Rscript_applying PLSR and spectral diversity effects example.R
Short description: Example R script for applying PLSR models and calculating spectral diversity effects.

X. Filename: Rscript_simulating spectra example.R
Short description: Example R script for simulating spectral reflectance of mixed species plots from monoculture plots.

2. Relationship between files:
The variable named "plot_id" is included in most data files to enable data to be merged across files as required. "Cloquet_wl.csv" can be used to look up the wavelengths (nm) corresponding to spectral bands (bands 1 to 432) listed in the spectral data files. Example R code (files starting with Rscript) is included that uses that data files (*.csv) provided. Data files starting with "simmix" are spectra simulated from "Cloquet_plot_spectra_2014_resample.csv" or "Cloquet_plot_spectra_2015_resample.csv".

3. Additional related data collected that was not included in the current data package: N/A

4. Are there multiple versions of the dataset? No

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METHODOLOGICAL INFORMATION
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1. Description of methods used for collection/generation of data:

Methods are documented in the following publication:
Williams, L.J., Cavender-Bares, J., Townsend, P.A., Couture, J.J., Wang, Z., Stefanski, A., Messier, C., and Reich, P.B. Remote spectral detection of biodiversity effects on forest biomass. Nature Ecology & Evolution.

2. Methods for processing the data: See publication above.

3. Instrument- or software-specific information needed to interpret the data: N/A

4. Standards and calibration information, if appropriate: See publication above.

5. Environmental/experimental conditions: See publication above.

6. Describe any quality-assurance procedures performed on the data: See publication above.

7. People involved with sample collection, processing, analysis and/or submission:
John Couture, Artur Stefanski and Laura Williams collected data in the field with assistance from Karen Rice, Raimundo Bermudez, Anna Schweiger, Aidan Mazur, Melanie Sinnen and interns. AVIRIS-NG images were acquired and processed by NASA Jet Propulsion Laboratory. Zhihui Wang prepared spectral data and mapped canopy nitrogen. Laura Williams analysed the data with assistance from Jeannine Cavender-Bares, John Couture and Zhihui Wang.

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DATA-SPECIFIC INFORMATION FOR: A. Cloquet_plot_spectra_2014.csv
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1. Number of variables: 433

2. Number of cases/rows: 2343

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Names: Band_X (Band_1 to Band_432)
Description: Spectral reflectance (%) at the given band (e.g., Band_1 = spectral reflectance at band 1)

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DATA-SPECIFIC INFORMATION FOR: B. Cloquet_plot_spectra_2015.csv
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1. Number of variables: 433

2. Number of cases/rows: 2346

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Names: Band_X (Band_1 to Band_432)
Description: Spectral reflectance (%) at a given band (e.g., Band_1 = mean simulated spectral reflectance at band 1)

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DATA-SPECIFIC INFORMATION FOR: C. Cloquet_plot_spectra_2014_resample.csv
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1. Number of variables: 433

2. Number of cases/rows: 150631

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Names: Band_X (Band_1 to Band_432)
Description: Spectral reflectance (%) at a given band (e.g., Band_1 = spectral reflectance at band 1)

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DATA-SPECIFIC INFORMATION FOR: D. Cloquet_plot_spectra_2015_resample.csv
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1. Number of variables: 433

2. Number of cases/rows: 150604

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Names: Band_X (Band_1 to Band_432)
Description: Spectral reflectance (%) at a given band (e.g. Band_1 = spectral reflectance at band 1)

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DATA-SPECIFIC INFORMATION FOR: E. Cloquet_wl.csv
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1. Number of variables: 2

2. Number of cases/rows: 433

3. Missing data codes: N/A

4. Variable List

A. Name: band
Description: spectral bands (numbered 1 to 432)

B. Name: wavelength
Description: Wavelength (nm) of the midpoint of spectral bands

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DATA-SPECIFIC INFORMATION FOR: F. Cloquet_mapped canopy N_2014.csv
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1. Number of variables: 2

2. Number of cases/rows: 2343

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Name: %N_mean
Description: Spectrally predicted canopy nitrogen concentration (%) for 2014

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DATA-SPECIFIC INFORMATION FOR: G. Cloquet_mapped canopy N_2015.csv
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1. Number of variables: 2

2. Number of cases/rows: 2346

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot

B. Name: %N_mean
Description: Spectrally predicted canopy nitrogen concentration (%) for 2015

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DATA-SPECIFIC INFORMATION FOR: H. Cloquet_mapped canopy N_2014_resample.csv
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1. Number of variables: 2

2. Number of cases/rows: 150631

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block); each row indicates a pixel within the study plot (resampled to 0.1 m spatial resolution)

B. Name: %N_mean
Description: Spectrally predicted canopy nitrogen concentration (%) for 2014

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DATA-SPECIFIC INFORMATION FOR: I. Cloquet_mapped canopy N_2015_resample.csv
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1. Number of variables: 2

2. Number of cases/rows: 150604

3. Missing data codes: N/A

4. Variable List

B. Name: %N_mean
Description: Spectrally predicted canopy nitrogen concentration (%) for 2015

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DATA-SPECIFIC INFORMATION FOR: J. IDENTCloquet_biomass.csv
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1. Number of variables: 13

2. Number of cases/rows: 192

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the Block and the plot's location within Block)

B. Name: Block
Description: Experimental block (one of the four replicate blocks: A, B, C, D)

C. Name: Plot
Description: Code that indicates the location of the study plot within the experimental block (letter [A,B,C,D,E,F] denotes row, ordered from north to south, number [1,2,3,4,5,6,7,8] denotes column, ordered from west to east)

D. Name: Mixture
Description: The species composition of the study plot
ACPL = Acer platanoides
ACSA = Acer saccharum
BEPA = Betula papyrifera
BEPE = Betula pendula
LADA = Larix decidua
LADE = Larix laricina
PIAB = Picea abies
PIGL = Picea glauca
PIST = Pinus strobus
PISY = Pinus sylvestris
QURO = Quercus robur
QURU = Quercus rubra
ACPL-BEPA = Acer platanoides, Betula papyrifera
ACPL-BEPE = Acer platanoides, Betula pendula
ACSA-ACPL = Acer saccharum, Acer platanoides
ACSA-BEPA = Acer saccharum, Betula papyrifera
BEPA-BEPE = Betula papyrifera, Betula pendula
BEPA-QURU = Betula papyrifera, Quercus rubra
BEPE-QURO = Betula pendula, Quercus robur
LADE-QURO = Larix decidua, Quercus robur
LADE-QURU = Larix decidua, Quercus rubra
LALA-BEPE = Larix laricina, Betula pendula
LALA-LADE = Larix laricina, Larix decidua
LALA-QURU = Larix laricina, Quercus rubra
PIAB-ACPL = Picea abies, Acer platanoides
PIAB-ACSA = Picea abies, Acer saccharum
PIAB-PIST = Picea abies, Pinus strobus
PIAB-PISY = Picea abies, Pinus sylvestris
PIGL-ACSA = Picea glauca, Acer saccharum
PIGL-LADE = Picea glauca, Larix decidua
PIGL-PIAB = Picea glauca, Picea abies
PIGL-PIST = Picea glauca, Pinus strobus
PIGL-QURO = Picea glauca, Quercus robur
PIGL-QURU = Picea glauca, Quercus rubra
PIST-BEPA = Pinus strobus, Betula papyrifera
PIST-LALA = Pinus strobus, Larix laricina
PIST-PISY = Pinus strobus, Pinus sylvestris
PISY-BEPE = Pinus sylvestris, Betula papyrifera
PISY-LADE = Pinus sylvestris, Larix decidua
PISY-LALA = Pinus sylvestris, Larix laricina
QURO-ACSA = Quercus robur, Acer saccharum
QURU-ACPL = Quercus rubra, Acer platanoides
QURU-QURO = Quercus rubra, Quercus robur
6-angio = Acer platanoides, Acer saccharum, Betula papyrifera, Betula pendula, Quercus robur, Quercus rubra
6-EU = Acer platanoides, Betula pendula, Larix decidua, Picea abies, Pinus sylvestris, Quercus robur
6-gymno = Larix decidua, Larix laricina, Picea abies, Picea glauca, Pinus strobus, Pinus sylvestris
6-NA = Acer saccharum, Betula papyrifera, Larix laricina, Picea glauca, Pinus strobus, Quercus rubra
NAangio-EUgymno = Acer saccharum, Betula papyrifera, Larix decidua, Picea abies, Pinus sylvestris, Quercus rubra
NAgymno-EUangio = Acer platanoides, Betula pendula, Larix laricina, Picea glauca, Pinus strobus, Quercus robur

E. Name: SR
Description: Number of species in the study plot (1, 2, or 6)

F. Name: Biomass_Mgha_2014
Description: Stem biomass (Mg ha^-1) at the end of 2014

G. Name: Biomass_Mgha_2015
Description: Stem biomass (Mg ha^-1) at the end of 2015

H. Name: Growth_Mgha_2014
Description: Stem biomass growth (Mg ha^-1 year^-1) in 2014

I. Name: Growth_Mgha_2015
Description: Stem biomass growth (Mg ha^-1 year^-1) in 2015

J. Name: NE_Biomass_Mgha_2014
Description: Net biodiversity effect on stem biomass (Mg ha^-1) at the end of 2014

K. Name: NE_Biomass_Mgha_2015
Description: Net biodiversity effect on stem biomass (Mg ha^-1) at the end of 2015

L. Name: NE_Growth_Mgha_2014
Description: Net biodiversity effect on stem biomass growth (Mg ha^-1 year^-1) in 2014

M. Name: NE_Growth_Mgha_2015
Description: Net biodiversity effect on stem biomass growth (Mg ha^-1 year^-1) in 2015

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DATA-SPECIFIC INFORMATION FOR: K. IDENTCloquet_plot codes.csv
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1. Number of variables: 8

2. Number of cases/rows: 192

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the Block and the plot's location within Block)

B. Name: Block
Description: Experimental block (one of the four replicate blocks: A, B, C, D)

D. Name: Mixture
Description: The species composition of plots (see Data-specific information for J. IDENTCloquet_biomass.csv, above, for a list of the value labels)

E. Name: Mix
Description: Alternative code for the species composition of plots

F. Name: BlMix
Description: Concatenation of Block and Mix

G. Name: SR
Description: Number of species in the study plot (1, 2, or 6)

H. Name: AGM
Description: Phylogenetic groups present within the study plot
A = angiosperm species only
G = gymnosperm species only
M = mixture of angiosperm and gymnosperm species

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DATA-SPECIFIC INFORMATION FOR: L. IDENTCloquet_species relative abundance.csv
-----------------------------------------

1. Number of variables: 8

2. Number of cases/rows: 432

3. Missing data codes: NA = data not collected

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the Block and the plot's location within Block)

B. Name: Block
Description: Experimental block (one of the four replicate blocks: A, B, C, D)

D. Name: Mixture
Description: The species composition of plots (see Data-specific information for J. IDENTCloquet_biomass.csv, above, for a list of the value labels)

E. Name: Species
Description: Species identity
ACPL = Acer platanoides
ACSA = Acer saccharum
BEPA = Betula papyrifera
BEPE = Betula pendula
LADA = Larix decidua
LADE = Larix laricina
PIAB = Picea abies
PIGL = Picea glauca
PIST = Pinus strobus
PISY = Pinus sylvestris
QURO = Quercus robur
QURU = Quercus rubra

F. Name: PropPlanted
Description: The proportion of trees planted within the plot of the given species

G. Name: PropUpperCanopy_2014
Description: The proportion of leaves in the upper canopy of the plot that belong to the given species in 2014

H. Name: PropUpperCanopy_2015
Description: The proportion of leaves in the upper canopy of the plot that belong to the given species in 2015

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DATA-SPECIFIC INFORMATION FOR: M. IDENTCloquet_manual canopy N.csv
-----------------------------------------

1. Number of variables: 4

2. Number of cases/rows: 192

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating a study plot (concatenation of the experimental block and the plot's location within the block)

B. Name: Mixture
Description: The species composition of plots (see Data-specific information for J. IDENTCloquet_biomass.csv, above, for a list of the value labels)

C. Name: N_2014
Description: Canopy nitrogen concentration (%) estimated for 2014 from destructively harvested leaves

D. Name: N_2015
Description: Canopy nitrogen concentration (%) estimated for 2015 from destructively harvested leaves

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: N. IDENTCloquet_PLS-DA coefficients.csv
-----------------------------------------

1. Number of variables: 336

2. Number of cases/rows: 3600

3. Missing data codes: N/A

4. Variable List

A. Name: Species
Description: Species identity
ACPL = Acer platanoides
ACSA = Acer saccharum
BEPA = Betula papyrifera
BEPE = Betula pendula
LADA = Larix decidua
LADE = Larix laricina
PIAB = Picea abies
PIGL = Picea glauca
PIST = Pinus strobus
PISY = Pinus sylvestris
QURO = Quercus robur
QURU = Quercus rubra

B. Name: Iteration
Description: Number indicating the iteration of the PLS-DA model (1 to 300)

C. Name: Intercept
Description: Intercept of the fitted model

C. Names: Band_X (Band_15 to Band_411)
Description: The model coefficient corresponding to a spectral band (e.g., Band_15 shows model coefficients corresponding to band 15); note that noisy bands have been omitted

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: O. IDENTCloquet_PLSR biomass Mgha_coefficients.csv
-----------------------------------------

1. Number of variables: 335

2. Number of cases/rows: 1000

3. Missing data codes: N/A

4. Variable List
A. Name: Iteration
Description: Number indicating the iteration of the PLSR model (1 to 1000)

B. Name: Intercept
Description: Intercept of the fitted model

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: P. IDENTCloquet_PLSR canopy N_coefficients.csv
-----------------------------------------

1. Number of variables: 434

2. Number of cases/rows: 200

3. Missing data codes: N/A

4. Variable List
A. Name: Iteration
Description: Number indicating the iteration of the PLSR model (1 to 1000)

B. Name: Intercept
Description: Intercept of the fitted model

C. Names: Band_X (Band_1 to Band_432)
Description: The model coefficient corresponding to a spectral band (e.g., Band_1 shows model coefficients corresponding to band 1)

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DATA-SPECIFIC INFORMATION FOR: Q. Filename: simmix14_tree.csv
-----------------------------------------

1. Number of variables: 433

2. Number of cases/rows: 192

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating the study plot (concatenation of the experimental block and the plot's location within the block)

B. Names: Band_X (Band_1 to Band_432)
Description: The mean simulated spectral reflectance (%) for a given spectral band (e.g., Band_1 = mean simulated spectral reflectance at band 1)

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: R. Filename: simmix15_tree.csv
-----------------------------------------

1. Number of variables: 433

2. Number of cases/rows: 192

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating the study plot (concatenation of the experimental block and the plot's location within the block)

B. Names: Band_X (Band_1 to Band_432)
Description: The mean simulated spectral reflectance (%) for a given spectral band (e.g., Band_1 = mean simulated spectral reflectance at band 1)

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: S. simmix14_uppercanopy.csv
-----------------------------------------

1. Number of variables: 433

2. Number of cases/rows: 128

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating the study plot (concatenation of the experimental block and the plot's location within the block)

B. Names: Band_X (Band_1 to Band_432)
Description: The mean simulated spectral reflectance (%) for a given spectral band (e.g., Band_1 = mean simulated spectral reflectance at band 1)

-----------------------------------------
DATA-SPECIFIC INFORMATION FOR: T. simmix15_uppercanopy.csv
-----------------------------------------

1. Number of variables: 433

2. Number of cases/rows: 123

3. Missing data codes: N/A

4. Variable List

A. Name: plot_id
Description: Unique code indicating the study plot (concatenation of the experimental block and the plot's location within the block)

B. Names: Band_X (Band_1 to Band_432)
Description: The mean simulated spectral reflectance (%) for a given spectral band (e.g., Band_1 = mean simulated spectral reflectance at band 1)