This README.txt file was generated on 2020-08-18 by Shail Mehta

GENERAL INFORMATION

1. Title of Dataset: 

2. Author Information
	A. Principal Investigator Contact Information
		Name: Dr. K. Jane Grande-Allen
		Institution: Rice University
		Address: 6566 Main Street, Houston, TX, 77030
		Email: grande@rice.edu

	B. Associate or Co-investigator Contact Information
		Name: Shail Mehta	
		Institution: Rice University
		Address: 6566 Main Street, Houston, TX, 77030
		Email: smm24@rice.edu, shail.mehta12@protonmail.com

	C. Alternate Contact Information
		Name: Dr. Jennifer Connell
		Institution: Rice University
		Address: 6566 Main Street, Houston, TX, 77030
		Email: jp10@rice.edu

3. Date of data collection: 2018-08-01 - 2020-03-01

4. Geographic location of data collection: 6566 Main Street, Houston, TX

5. Information about funding sources that supported the collection of the data: Dunn Collaborative Award from the John S. Dunn Foundation


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: Creative Commons License - Public Domain (CC0)

2. Links to publications that cite or use the data: N/A

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

4. Links/relationships to ancillary data sets: This video indicates post-processing performed on data the visualization of which was shown in ESM_1 and ESM_2.

5. Was data derived from another source? No
	A. If yes, list source(s): 

6. Recommended citation for this dataset: N/A


DATA & FILE OVERVIEW

1. File List: 
ESM_3.avi: Animation video demonstrating how MATLAB program performs piecewise cubic polynomial fitting on mechanical testing data obtained from mesoscale testing device.

2. Relationship between files, if important: N/A

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
	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: 
As described in the READMEs for ESM_1 and ESM_2, stress-strain curves were generated using top-down testing video samples undergoing strain. Datapoints could only be generated for the specific frames of the video, which resulted in low temporal resolution. Additionally, the tracking program was unable to pinpoint the exact center point or edge point for the relevant feature down to the pixel for every single frame, resulting in a +/- 1-2 pixel spatial resolution. In order for proper stress averaging to take place, the exact same strain had to be selected across all group replicates. The low temporal resolution made that difficult, and the low spatial resolution meant that the stress value corresponding to the closest strain value was not representative of the true material behavior given data noise.

2. Methods for processing the data: 
In order to overcome the previous shortcomings, data points closest to strain intervals of 0.01 (0.00,0.01,0.02,0.03 and so on) were selected, and a number of datapoints surrounding that datapoint were selected for cubic curve-fitting (between 10 - 50 datapoints depending on the original data resolution). A cubic curve fit was performed at each strain interval of interest, and the stress value at these exact strain levels was evaluated using the cubic fit parameters. Thus, stress-strain data was generated at intervals of 0.01 strain. Stress data at these strain intervals for replicates within a group was thus able to be averaged properly. 

3. Instrument- or software-specific information needed to interpret the data: 
MATLAB R2017b was used to execute the custom code. No external packages are required.

4. Standards and calibration information, if appropriate: N/A

5. Environmental/experimental conditions: N/A

6. Describe any quality-assurance procedures performed on the data: N/A

7. People involved with sample collection, processing, analysis and/or submission: 
Manuscript authors:
	First: Shail Maharshi Mehta
	Second: Diego Ricardo De Santos, Shweta Sridhar, Veronica Cristina Aguayo, Carlos Alberto Meraz
	Third: Mary Mikos
	Corresponding: Dr. K. Jane Grande-Allen


DATA-SPECIFIC INFORMATION FOR: ESM_3.avi

1. Number of variables: 2

2. Number of cases/rows: N/A

3. Variable List: Independent variable: Strain. Dependent variable: Stress (Pa).

4. Missing data codes: N/A

5. Specialized formats or other abbreviations used: The animated plot is titled, in part: "PDMS115_4_Proc.xlsx". This indicates that the data being processed was from the 4th replicate of 1:15 Polydimethylsiloxane (PDMS) out of 5, and the original data was present as an Excel file. This replicate was selected at random as an example.