This DATSETNAMEreadme.txt file was generated on 2022-02-03 by Castine Bernardy



GENERAL INFORMATION

1. Title of Dataset: Data supporting Effects of UV-C Disinfection on N95 and KN95 Filtering Facepiece Respirator Reuse

2. Author Information
	A. Principal Investigator Contact Information
		Name: Castine A. Bernardy
		Institution: University of New Hampshire
		Address: Gregg Hall, Room 330. University of New Hampshire, Durham Campus, NH 03824
		Email: Castine.Bernardy@unh.edu

	B. Associate or Co-investigator Contact Information
		Name: Dr. James Malley 
		Institution: University of New Hampshire
		Address: Gregg Hall, Room 344. University of New Hampshire, Durham Campus, NH 03824
		Email: Jim.Malley@unh.edu


3. Date of data collection (2020-07-01--2021-07-01) 

4. Geographic location of data collection: Durham, New Hampshire, 03824. United States

5. Information about funding sources that supported the collection of the data: University of New Hampshire, Collaborative Research Excellence (CoRE) Initiative


SHARING/ACCESS INFORMATION

1. Licenses/restrictions placed on the data: 

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

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

4. Links/relationships to ancillary data sets: 

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

6. Recommended citation for this dataset: 
Bernardy, C.A. & Malley, J. (2022). Data supporting Effects of UV-C Disinfection on N95 and KN95 Filtering Facepiece Respirator Reuse [dataset]. UNH Scholars Repository.  https://dx.doi.org/10.34051/d/2022.1


DATA & FILE OVERVIEW

1. File List: 
<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>

2. Relationship between files, if important: 

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

4. Are there multiple versions of the dataset? yes/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: 
See methods sections in Effects of UV-C Disinfection on N95 and KN95 Filtering Facepiece Respirator Reuse

2. Methods for processing the data: 
Log inactiavtions of the the UV treatments were determined for each experiment. The log of the total CFU or PFU for each UV dose and control experiment was calculated. The log of the control was then subtracted from the log of the experimental CFU/PFU to get the inactivation for each UV dose. At least two trials were done for each dose and all data is displayed on the Figures.

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

4. Standards and calibration information, if appropriate: IDEXX method for E.coli data and plaque assays for MS-2 bactgeriophage data.

5. Environmental/experimental conditions: All experiments were conducted under a fume hood. Respirators were innoculated with surrogates using a nebulizer device. 8 mL of surrogate solution was applied to each respirator. After innocualtion, each respirator was allowed a 15 minute dry time. After this, the respirator was then placed in UV Device A where it recieved the appropriate UV dose. 
In addition, after the respirators were treated with UV, a PBS solution was used to extract the surrogate back off the respirator. 

6. Describe any quality-assurance procedures performed on the data: The stock solutions of each surrogate where checked before and after the experiments to quantify vitality of the stock and potential death during experimentation. Microbial death was never observed during experimentation. 
In addition, control experiments were conducted each experimental day. The control respirators were innocualted with the respective surrogate and then underwent the extraction process with PBS, without being exposed to UV. These data were used to determine the log inactivation of UV at the doses tested.

7. People involved with sample collection, processing, analysis and/or submission: Castine Bernardy, Nicola Elardo, Alexa Trautz, Kellen Sawyer, Jim Malley.


DATA-SPECIFIC INFORMATION FOR: [FILENAME]
<repeat this section for each dataset, folder or file, as appropriate>

1. Number of variables: 

2. Number of cases/rows: 

3. Variable List: 
<list variable name(s), description(s), unit(s)and value labels as appropriate for each>

4. Missing data codes: 
<list code/symbol and definition>n

5. Specialized formats or other abbreviations used: