This readme file was generated on [2023-06-05] by Takashi Lawson

GENERAL INFORMATION

Title of Dataset: Research data supporting 'Low-volume reaction monitoring of carbon dot light absorbers in optofluidic microreactors'

Author/Principal Investigator Information
Name: Dr Tijmen Euser
ORCID: 0000-0002-8305-9598
Institution: University of Cambridge
Address: 
Email: te287@cam.ac.uk

Author/Associate or Co-investigator Information
Name: Prof Erwin Reisner
ORCID: 0000-0002-7781-1616
Institution: University of Cambridge
Address: 
Email: reisner@ch.cam.ac.uk

Author/Alternate Contact Information
Name: Takashi Lawson
ORCID: 0000-0002-2571-4216
Institution: University of Cambridge
Address: 
Email: tl457@cam.ac.uk

Date of data collection: 2021-02-04 to 2022-03-09

Geographic location of data collection: Cambridge, United Kingdom.

Information about funding sources that supported the collection of the data: 
Winton Programme for the Physics of Sustainability
Isaac Newton Trust
Cambridge NanoDTC (EPSRC Grant EP/L015978/1 and EP/S022953/1)
UKRI Cambridge Creative Circular Plastics Centre (EP/S025308/1)
European Commission’s H2020 MSCA IF (SmArtC, No.890745)
EPSRC PhD DTA studentship
Max-Planck-Gesellschaft
Leverhulme Trust (Research Project Grant RPG-2018-256)


SHARING/ACCESS INFORMATION

Licenses/restrictions placed on the data: CC BY

Links to publications that cite or use the data: TBC

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

Links/relationships to ancillary data sets: N/A

Was data derived from another source? N/A
If yes, list source(s): 

Recommended citation for this dataset: Lawson et al. 'Research data supporting Low-volume reaction monitoring of carbon dot light absorbers in optofluidic microreactors' University of Cambridge (2023).


DATA & FILE OVERVIEW

File List:

Processed Data:
Fitted Rate Constants and Delay Times Jupyter Notebook.ipynb

Datasets:
npz_cd0p125.csv
npz_cd0p250.csv
npz_cd0p375.csv
npz_cd0p500.csv
npz_edta1.csv
npz_edta10.csv
npz_edta100.csv
npz_edta25.csv
npz_edta50.csv
npz_irr13p5.csv
npz_irr18p3.csv
npz_irr1p6.csv
npz_irr39p3.csv
npz_irr5p7.csv
npz_irr88p4.csv
npz_mv100.csv
npz_mv120.csv
npz_mv140.csv
npz_mv160.csv
npz_mv20.csv
npz_mv200.csv
npz_mv40.csv
npz_mv60.csv
npz_mv80.csv

Relationship between files, if important: 
N/A

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

Are there multiple versions of the dataset? No
If yes, name of file(s) that was updated: 
Why was the file updated? 
When was the file updated? 

METHODOLOGICAL INFORMATION

Description of methods used for collection/generation of data: 
TBC

Methods for processing the data:
Data was background-corrected (stored in .h5 file) and the absorbance calculated taking -log10 of the division of the background-corrected spectrometer counts with the background-corrected reference (the spectrum at time t=0 s).
Each spectrum is timestamped and data pre-processing routines convert timestamps to a time interval by subtracting the timestamp of the first spectrum from all other spectra. 
The absorbance is then averaged over a 10 nm wavelength window (595 nm to 605 nm) and converted to a concentration of XV^.+ by dividing by the path length (5 cm) and the absorption coefficient of XV^.+.
The absorption coefficient for the XV^.+ species used in this analysis were: MV (1.3x10^4 M^-1 cm^-1), EV (1.22x10^4 M^-1 cm^-1) and BV (1.4x10^4 M^-1 cm^-1).

Instrument- or software-specific information needed to interpret the data:
Python3 and Jupyter Notebook installation required to view Fitted Rate Constants and Delay Times Jupyter Notebook.ipynb. Comma-separated values (.csv) files can be opened in most data processing software.

Standards and calibration information, if appropriate: N/A

Environmental/experimental conditions: N/A

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

People involved with sample collection, processing, analysis and/or submission: Takashi Lawson, Alexander Gentleman


DATA-SPECIFIC INFORMATION

List of datasets:
npz_cd0p125.csv (40 μM MV2+; 0.100 M EDTA; 0.125 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_cd0p250.csv (40 μM MV2+; 0.100 M EDTA; 0.250 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_cd0p375.csv (40 μM MV2+; 0.100 M EDTA; 0.375 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_cd0p500.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_edta1.csv (40 μM MV2+; 0.001 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_edta10.csv (40 μM MV2+; 0.010 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_edta100.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_edta25.csv (40 μM MV2+; 0.025 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_edta50.csv (40 μM MV2+; 0.050 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_irr13p5.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 13.5 mW cm-2)
npz_irr18p3.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 18.3 mW cm-2)
npz_irr1p6.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 1.6 mW cm-2)
npz_irr39p3.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 39.3 mW cm-2)
npz_irr5p7.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 5.7 mW cm-2)
npz_irr88p4.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 88.4 mW cm-2)
npz_mv100.csv (100 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv120.csv (120 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv140.csv (140 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv160.csv (160 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv20.csv (20 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv200.csv (200 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv40.csv (40 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv60.csv (60 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)
npz_mv80.csv (80 μM MV2+; 0.100 M EDTA; 0.500 g/L COO- aCDs; pH6; λ = 365 nm, 90.2 mW cm-2)

Number of variables per dataset: 2

Number of cases/rows: dependent on dataset

Variable List: Time (seconds), Concentration (micromolar)

Missing data codes: N/A