This README_DATASET_Koch et al.txt file was generated on 2023-06-08 by NATÁLIA M. KOCH

GENERAL INFORMATION

1. Title of Dataset: Thallus hydrophobicity: A low-cost method for understanding lichen ecophysiological responses to environmental changes
2. Author Information A. Principal Investigator Contact Information Name: Natália M. Koch Institution: Department of Ecology, Evolution and Behavior, University of Minnesota Address: Ecology Building, 1987 Upper Buford Cir, 55108, Saint Paul, MN, USA Email: nkoch@umn.edu; natimkoch@gmail.com <br> B. Associate or Co-investigator Contact Information Name: Raúl Díaz Dominguez Institution: Instituto de Investigaciones Biológicas y Tecnológicas, Universidad Nacional de Córdoba Address: Córdoba, Argentina Email: raulenriquedd@hotmail.com <br> C. Associate or Co-investigator Contact Information Name: Ana Fávaro Institution: Department of Ecology, Evolution and Behavior, University of Minnesota Address: Ecology Building, 1987 Upper Buford Cir, 55108, Saint Paul, MN, USA Email: fvaro001@umn.edu; anafavarovga@gmail.com <br> D. Alternate Contact Information Name: Daniel Stanton Institution: Department of Ecology, Evolution and Behavior, University of Minnesota Address: Ecology Building, 1987 Upper Buford Cir, 55108, Saint Paul, MN, USA Email: stan0477@umn.edu
3. Date of data collection (single date, range, approximate date): 2015 (Chile), from 2021 to 2022 (USA)
4. Geographic location of data collection: Chile and United States
5. Information about funding sources that supported the collection of the data: funds were granted as startup to Daniel Stanton by the University of Minnesota

SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: NO
2. Links to publications that cite or use the data: not available yet
3. Links to other publicly accessible locations of the data: NA
4. Links/relationships to ancillary data sets: NA
5. Was data derived from another source? NO A. If yes, list source(s):
6. Recommended citation for this dataset: Koch, Natalia M., Dominguez, Raul D., Fávaro, Ana, Stanton, Daniel E. 2023. Thallus hydrophobicity: A low-cost method for understanding lichen ecophysiological responses to environmental changes. Applications in Plant Sciences.

DATA & FILE OVERVIEW

1. File List:

USA_Hydro_final.csv - matrix of 96 rows (taxa/observations) and 4 columns (site and hidrophobicity information).
Chile_Hydro_final.csv - matrix of 94 rows (taxa/observations) and 4 columns (site and hidrophobicity information).
All_taxa_sites.csv - matrix of 93 rows (taxa) and 3 columns (sampling location and geographic coordinates).

1. Relationship between files, if important: Files are linked by the name of species/taxa.
2. Additional related data collected that was not included in the current data package: NA
3. Are there multiple versions of the dataset? NO A. If yes, name of file(s) that was updated: i. Why was the file updated? ii. When was the file updated?

METHODOLOGICAL INFORMATION

1. Description of methods used for collection/generation of data: To demonstrate that measuring thallus hydrophobicity using the time of absorption is most suited for capturing very hydrophilic species and to determine the optimal time for capturing the videos, we used a dataset of 93 lichen taxa with different growth forms and from different biomes in the USA (boreal to subtropical) and a desert area in Chile (Alto Patache). Data was collected without any specific methodology, and specimens were identified to the level of species whenever it was possible. This dataset is part of other udergoing projects and other information (such as complete species identification) will be fully published in future publications. The present manuscript aims to show how effective the proposed hydrophobicity method is to be used in different types of environments.
2. Methods for processing the data: NA
3. Instrument- or software-specific information needed to interpret the data: NA
4. Standards and calibration information, if appropriate: NA
5. Environmental/experimental conditions: The hydrophobicity data was generated (filmed) in the lab, following the below protocol: Thallus hydrophobicity, detailed protocol Materials Digital camera or phone with video capacity Micropipette (10 or 20 microliter) Micropipette tips (10 or 20 microliter) Distilled water Stands/mounts for camera and specimen A black background (optional) Lights (optional)

Video recording
Before the analysis, make sure the specimens are completely dry. If the samples were in a freezer before the hydrophobicity analysis, take them out of the freezer and let them sit overnight in dry conditions.
Place the specimen on a flat surface and arrange the camera, at the same height as the specimen surface. Place the specimen horizontally, in a way that maximizes the horizontal surface available for water droplets (by choosing the side with a bigger flat area, for example). For smaller taxa, it can be possible to have multiple specimens in the same recording.
Make sure that the specimen is in focus and well-lit. Black background behind the specimen and diffuse photography lights can be used to improve visualization of the droplets when analyzing the video and to reduce shadows, but they are not strictly necessary.
Start recording. We recommend using 24 frames per second (fps) or higher shutter speed.
Gently place a 10µl droplet of distilled water on the surface of the specimen, choosing an undamaged, dry, and (ideally) horizontal region. It is important that the specimen does not show areas of chlorosis covering more than 50% of the thallus, and/or similar amount of tissue death. Also, avoid placing droplets on apothecia since they are hydrophilic structures. The droplet needs to be formed before being placed on the lichen surface.
Add additional (ideally at least three) droplets to dry locations on the specimen, if possible. Properties change dramatically on wet surfaces; thus, if a droplet is accidentally added to one of these wet spots, take note of it and exclude it from the data analyses. If a droplet merges with another droplet, also exclude both droplets from the analyses.
Record the video until all droplets are absorbed or until it completes 150 seconds after the application of the last droplet. Some highly hydrophobic species will take so long to absorb that it is unreasonable to film past 150 seconds.
Save files with file names carefully reflecting relevant specimen information.

Video processing
Video processing can be done manually using any video playback software your operating system comes with. For each droplet, record (a) the time in seconds between contact with the surface and the start of absorption and (b) the time in seconds between the contact with the surface and apparent complete absorption of the droplet. The beginning of the absorption is considered when the volume of the droplet starts to change, which sometimes may be slow, others, very fast. If the specimen is very hydrophilic, the time between the droplet getting in touch with the surface and the start of its absorption (measurement a) can be 0 because the droplet is rapidly absorbed. If the specimen is very hydrophobic, the time between the droplet getting in contact with the surface and complete absorption (measurement b) can be 0 because the droplet is not absorbed in less than 150 seconds.

1. Describe any quality-assurance procedures performed on the data: NA
2. People involved with sample collection, processing, analysis and/or submission: Natália M. Koch - Field sampling and species identification (USA), data analyses and submission Raúl Díaz Dominguez - Species curation/identification (Chile), data analyses Daniel Stanton - Field sampling (Chile and USA), data analyses Abigail Meyer - Field sampling (USA) Ana Fávaro - Data analyses and submission

DATA-SPECIFIC INFORMATION FOR: README_DATASET_Koch et al.txt

Table containing the list of lichens species sampled in the USA, their times of initial absorption and total absorption, and hydrophobicity status. Hydrophobicity status 0 = hydrophobic; Hydrophobicity status 1 = hydrophilic.

USA_Hydro_final.csv

1. Number of variables: 4
2. Number of cases/rows: 96
3. Variable List: Columns (variables) <br> Site (categorical data): Country where species were sampled US = United States of America

Species (categorical data):
List of lichen species

Time_start (continuous data):
Column with time (in seconds) for the droplet to start being absorbed.

Time_abs (continuous data):
Column with total time (in seconds) for the droplet to be fully absorbed.

Hydrophobicity (categorical data):
Column with thallus hydrophobicity status
0 = hydrophobic; 1 = hydrophilic

1. Missing data codes: NA
2. Specialized formats or other abbreviations used: US - United States of America (USA) Time-start - time of initial absorption Time_abs - time of the complete absorption

Table containing the list of lichen taxa sampled in the Chile, their times of initial absorption and total absorption, and hydrophobicity status. Hydrophobicity status 0 = hydrophobic; Hydrophobicity status 1 = hydrophilic.
Chile_Hydro_final.csv

1. Number of variables: 4
2. Number of cases/rows: 94
3. Variable List: Columns (variables)

Site (categorical data):
Site where taxa were sampled
Patache = The Alto Patache fog oasis, northern Chile

Taxon (categorical data):
List of lichen taxa

Time_start (continuous data):
Column with time (in seconds) for the droplet to start being absorbed.

Time_abs (continuous data):
Column with total time (in seconds) for the droplet to be fully absorbed.

Hydrophobicity (categorical data):
Column with thallus hydrophobicity status
0 = hydrophobic; 1 = hydrophilic

1. Missing data codes: NA
2. Specialized formats or other abbreviations used: Patache - Alto Patache area (Chile) Time_start - time of initial absorption Time_abs - time of the complete absorption

All_taxa_sites.csv

1. Number of variables: 3
2. Number of cases/rows: 93
3. Variable List: Columns (variables) Taxon name (categorical data): List of lichen taxa

Sampling location (categorical data):
Site where taxa were sampled

Latitude (gis data):
List of latitudes of the sampled sites

Longitude (gis data):
List of longitudes of the sampled sites

1. Missing data codes: NA
2. Specialized formats or other abbreviations used: NA