This Volume_accuracy_readme.txt file was generated on [20240917] by [Mathieu Raillard]
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GENERAL INFORMATION
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1. Title of dataset: Volume accuracy from spirometers (D-Lite and Pedi-Lite)

2. Contributor information: 
<describe person/s involved, e.g., principal investigator, data creator, data submitter etc. and if 
needed, add information about an alternate contact person for questions>
      Name: Mathieu Raillard
      Role/Function: PhD student
      Institution: Murdoch University
      Address: School of Veterinary Medicine, College of Environmental and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia
      Email: mathieu_raillard@yahoo.it

      Name: Olivier L. Levionnois
      Role/Function: Supervisor
      Institution: University of Bern
Address: Division of Anaesthesiology and Pain therapy, Vetsuisse Faculty, University of Bern, Switzerland
      Email: olivier.levionnois@unibe.ch
      
3. Date of data collection: 
2018-2022

4. Geographic location of data collection:
[Multicentric]
- School of Veterinary Medicine, College of Environmental and Life Sciences, Murdoch University, Murdoch, Western Australia, Australia
- Clinical Department for Small Animals and Horses, Veterinary University Vienna, Vienna, Austria
- Southern Counties Veterinary Specialists, Ringwood, United Kingdom
- Anderson Moores, Hursley, United Kingdom
- Hospital Clínico Veterinario Complutense, Universidad Complutense de Madrid, Madrid, Spain
- Davies Veterinary Specialists, Herts, United Kingdom
- Hospital Veterinario de la Universidad Católica de Valencia “San Vicente Mártir”, Valencia, Spain
- Langford vets, University of Bristol, Langford, United Kingdom
- Cave Veterinary Specialists, Wellington, United Kingdom
- Eastcott Veterinary Clinic & Hospital, Swindon, United Kingdom
- VetAgro Sup (Campus Vétérinaire), Centre de Recherche et de Formation en Algologie Comparée (CREFAC), University of Lyon, 69280 Marcy l’Etoile, France
- Small Animal Hospital, University of Glasgow, Glasgow, United Kingdom
- Department of Surgical and Radiological Sciences, School of Veterinary Medicine, University of California, Davis, California, USA 
- Section Anaesthesiology, Department of Diagnostics and Clinical Sciences, Vetsuisse Faculty, University of Zürich, Zürich, Switzerland
- North Downs Specialist Referrals, Bletchingley, United Kingdom
- Division of Anaesthesiology and Pain therapy, Vetsuisse Faculty, University of Bern, Switzerland 

5. Keywords describing the subject of your dataset:
Spirometry, veterinary anaesthesia, D-lite, Ped-lite, General Electrics

6. Information about funding sources that supported the collection of the data:
      Funding agency name: N/A 
      Grant number: N/A

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data:
CC-BY 4.0 

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

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

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

5. Was data derived from another source? yes/no. 
No 

6. Recommended citation for this dataset: 

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DATA & FILE OVERVIEW
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1. File List: 
      Filename: Volume_accuracy_from_spirometers_DLite, Volume_accuracy_from_spirometers_PediLite
      File format: .csv
      File encoding <e.g., utf-8>: N/A
      Short description: Excel file containing data from 67 monitors
      Date of creation:

2. Relationship between files: N/A

3. 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: 
Volumes (5 volumes per monitor type, recorded three times each) were set on a calibration syringe. Inspired and expired volumes displayed by monitors were recorded.

2. Methods for processing the data: 
None in the file

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

4. Standards and calibration information:
This dataset is to check calibration and accuracy of monitors used in various clinical settings

5. Environmental/experimental conditions:
Normal clinical environment

6. Describe any quality-assurance procedures performed on the data:
Visual inspection

7. People involved with sample collection, processing, analysis and/or submission:
Mathieu Raillard, Martina Mosing, Anthea Raisis, Adam Auckburally, Karla Borland, Susana Canfrán, Frances Downing, Alejandra García de Carellán Mateo, Paul MacFarlane, William McFadzean, Tristan Merlin, Karine Portier, Josephine Robertson, Joao Henrique Neves Soares, Barbara Steblaj, Aurora Zoff and Olivier L. Levionnois


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DATA-SPECIFIC INFORMATION FOR: [FILENAME]
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<If your data contain variables, codes or abbreviations (e.g., tabular data) you may need to explain 
them. For example, describe the number of variables and cases/rows, create a list of all your variables 
with variable name, description of the variable and labels value.
Create sections for each dataset (or file if appropriate) included>

1. Number of variables: 1 (volumes)

2. Number of cases/rows: 336 rows, 6 cells of data per row

3. Variable List:
Monitor
Calibration syringe
Inspired 1
Expired 1
Inspired 2
Expired 2
Inspired 3
Expired 3

4. Missing data codes: N/A

5. Specialized formats of other abbreviations used: N/A