DOI: 10.5061/dryad.b8gtht7r0
title: Data from: Role of ionization energy on mixed conduction in polythiophene-derived polyelectrolyte complexes

description: Conjugated polyelectrolyte complexes formed by the electrostatic
 compatibilization between a conjugated and an insulating polyelectrolyte
 are a versatile design platform for highly processable, high-performing
 polymeric mixed ion−electron conductors. While electrostatic mediation in
 complexes allows for structure and property control, a fundamental
 understanding of how the properties of the constituent conjugated
 polyelectrolyte (CPE) translate to the resulting complex performance is
 necessary for future designs. To investigate the role of CPE architecture
 on the overall charge transport properties of the resulting complex
 properties, here we compare a water-soluble cationic poly(alkoxythiophene)
 derivative based on poly(3-alkoxy-4-methylthiophene) with an imidazolium
 pendant unit and bromide counterion to an analogous complex with
 poly(sodium 4-styrenesulfonate). Through spectroscopic, morphological,
 electrochemical, and charge transport characterization, we find that
 poly(alkoxythiophene)-based complexes exhibit high mixed conductivity,
 enhanced electrochemical stability, improved doping efficiency, and lower
 oxidation potential, relative to previously reported
 poly(3-alkylthiophene)-based complexes, making them more suitable
 candidates for electrochemical applications. Importantly, both CPE and
 complex films based on the poly(3-alkoxy-4-methylthiophene) chemistry
 display electronic conductivities on the order of 10−2−10−3 S/cm and
 impressive ionic conductivities up to the order of 10−4 S/cm, despite the
 ordered morphology of the 3-alkoxy-4-methylthiophene backbone. We make a
 key observation that the enhancement of the electronic conductivity of the
 CPE from an alkyl to alkoxythiophene backbone does not necessarily improve
 the electronic conduction of the resulting complex as observed in previous
 reports, thereby underscoring the role of complexation thermodynamics,
 dielectric strength of the electrostatic complex, and complex morphology
 on mixed conduction. This study provides fundamental insights governing
 future design rules of mixed-conducting polyelectrolyte complexes for
 next-generation energy applications.
description: This README.txt file was generated on 2025-06-20 by PRATYUSHA DAS GENERAL
 INFORMATION 1. Title of Dataset: Role of Ionization Energy on Mixed
 Conduction in Polythiophene-Derived Polyelectrolyte Complexes 2. Author
 Information A. Principal Investigator Contact Information Name: Rachel A.
 Segalman Institution: University of California, Santa Barbara Address:
 Materials Research Laboratory, University of California, Santa Barbara,
 California 93106 Email: [segalman@ucsb.edu](mailto:segalman@ucsb.edu) B.
 Principal Investigator Contact Information Name: Michael L. Chabinyc
 Institution: University of California, Santa Barbara Address: Materials
 Research Laboratory, University of California, Santa Barbara, California
 93106 Email:
 [mchabinyc@engineering.ucsb.edu](mailto:mchabinyc@engineering.ucsb.edu) C.
 Associate or Co-investigator Contact Information Name: Pratyusha Das
 Institution: University of California, Santa Barbara Address: Materials
 Research Laboratory, University of California, Santa Barbara, California
 93106 Email: [pratyushadas@ucsb.edu](mailto:pratyushadas@ucsb.edu) D.
 Associate or Co-investigator Contact Information Name: Alexandra Zele
 Institution: University of California, Santa Barbara Address: Materials
 Department, University of California, Santa Barbara, California 93106
 Email: [aazele@ucsb.edu](mailto:aazele@ucsb.edu) E. Associate or
 Co-investigator Contact Information Name: Ming-Pei Lin Institution:
 University of California, Santa Barbara Address: Department of Chemical
 Engineering, University of California, Santa Barbara, California 93106
 Email: [ming-pei@ucsb.edu](mailto:ming-pei@ucsb.edu) F. Associate or
 Co-investigator Contact Information Name: J. Tyler Mefford Institution:
 University of California, Santa Barbara Address: Department of Chemical
 Engineering, University of California, Santa Barbara, California 93106
 Email: [tmefford@ucsb.edu](mailto:tmefford@ucsb.edu) 3. Date of data
 collection (single date, range, approximate date): 2024-04-11 to
 2025-04-16 4. Geographic location of data collection: Santa Barbara, CA,
 USA 5. Information about funding sources that supported the collection of
 the data: The authors gratefully acknowledge funding support from the U.S.
 Department of Energy, Office of Science, Basic Energy Sciences, under
 award DE-SC0016390. The research reported here made use of shared
 facilities of the UC Santa Barbara Materials Research Science and
 Engineering Center (MRSEC, NSF DMR-2308708), a member of the Materials
 Research Facilities Network
 ([https://www.mrfn.org](https://www.mrfn.org)). A portion of this work was
 performed in the UC Santa Barbara Nanofabrication Facility, an open-access
 laboratory. Grazing incidence wide-angle X-ray scattering was carried out
 at Stanford Synchrotron Radiation Lightsource (SSRL) at SLAC National
 Accelerator Laboratory, which receives support from the U.S. Department of
 Energy, Office of Science, Office of Basic Energy Sciences (Contract no.
 DE-AC02-76SF00515; beamline 11-3). J.T.M. and M.-P.L. acknowledge support
 from UCSB startup funds. SHARING/ACCESS INFORMATION 1.
 Licenses/restrictions placed on the data: N/A 2. Links to publications
 that cite or use the data: 3. Links to other publicly accessible locations
 of the data: N/A 4. Links/relationships to ancillary data sets: N/A 5. Was
 data derived from another source? No 6. Recommended citation for this
 dataset: This dataset accompanies the article "Role of Ionization
 Energy on Mixed Conduction in Polythiophene-Derived Polyelectrolyte
 Complexes" by Pratyusha Das, Alexandra Zele, Ming-Pei Lin, J. Tyler
 Mefford, Michael L. Chabinyc, and Rachel A. Segalman in ACS Macro Letters
 in 2025 (https://doi.org/10.1021/acsmacrolett.5c00305). DATA & FILE
 OVERVIEW 1. File List: Files are organized into folders based on figure
 number from the corresponding manuscript and supporting information. Files
 are named as "Figure #.csv". Figures that are plotted and/or
 data fitted with Python code have additional files named as "Figure #
 Plotting/Model Fitting Description.ipynb". ``` A. Figure 2: Overlaid
 UV−visible absorbance spectra of undoped and 2 hrs doped OxyP-ImBr (CPE)
 and OxyP-ImPSS (complex). a. Figure 2.csv 1. Variables: Energy [eV],
 Absorbance [unitless] 2. Column names: Energy_OxyP-ImBr_Undoped (eV),
 Abs_OxyP-ImBr_Undoped (unitless), Energy_OxyP-ImBr_Doped (eV),
 Abs_OxyP-ImBr_Doped (unitless), Energy_OxyP-ImPSS_Undoped (eV),
 Abs_OxyP-ImPSS_Undoped (unitless), Energy_OxyP-ImPSS_Doped (eV),
 Abs_OxyP-ImPSS_Doped (unitless) 3. Figure 2 Plotting Code.ipynb B. Figure
 3: Normalized photoluminescence spectra of the undoped CPE, OxyP-ImBr, and
 complex, OxyP-ImPSS. a. Figure 3.csv 1. Variables: Energy [eV], Normalized
 Photoluminescence Intensity [arb. units] 2. Column names:
 Energy_OxyP-ImBr_A1 (eV), Norm_PL_OxyP-ImBr_A1 (arb. units),
 Energy_OxyP-ImBr_A2 (eV), Norm_PL_OxyP-ImBr_A2 (arb. units),
 Energy_OxyP-ImBr_A3 (eV), Norm_PL_OxyP-ImBr_A3 (arb. units),
 Energy_OxyP-ImBr_A4 (eV), Norm_PL_OxyP-ImBr_A4 (arb. units),
 Energy_OxyP-ImPSS_B1 (eV), Norm_PL_OxyP-ImPSS_B1 (arb. units),
 Energy_OxyP-ImPSS_B2 (eV), Norm_PL_OxyP-ImPSS_B2 (arb. units),
 Energy_OxyP-ImPSS_B3 (eV), Norm_PL_OxyP-ImPSS_B3 (arb. units) 3.Figure 3
 Plotting Code_Averaged Spectra Without Gaussian Fits.ipynb C. Figure 4:
 Electronic conductivity of thin films of OxyP-ImBr (CPE) and thick films
 of OxyP-ImPSS (complex) as a function of solution doping time. a. Figure
 4.csv 1. Variables: Time Doped [Minutes], Electronic Conductivity [S cm-1]
 2. Column names: Time_Doped_OxyP-ImBr (min), Avg_Cond_OxyP-ImBr (S cm-1),
 Std_Dev_OxyP-ImBr (S cm-1), Time_Doped_OxyP-ImPSS (min),
 Avg_Cond_OxyP-ImPSS (S cm-1), Std_Dev_OxyP-ImPSS (S cm-1) 3. Figure 4
 Plotting Code.ipynb D. Figure 5: Glass transition temperature-normalized
 ionic conductivity of OxyP-ImTFSI (CPE) and OxyP-ImPSS (complex) as a
 function of LiTFSI salt concentration and temperature, fit to the
 Vogel−Fulcher−Tammann (VFT) temperature dependence equation. a. Figure
 5a.csv 1. Variables: 1000/(T-Tg+50) [K-1], Ionic Conductivity [S cm-1] 2.
 Column names: 1000/(T-Tg+50)_r_0_CPE (K-1), Avg_Cond_r_0_CPE (S cm-1),
 1000/(T-Tg+50)_r_0.8_CPE (K-1), Avg_Cond_r_0.8_CPE (S cm-1),
 1000/(T-Tg+50)_r_1.0_CPE (K-1), Avg_Cond_r_1.0_CPE (S cm-1) 3. Figure 5a
 Plotting Code.ipynb b. Figure 5b.csv 1. Variables: 1000/(T-Tg+50) [K-1],
 Ionic Conductivity [S cm-1] 2. Column names: 1000/(T-Tg+50)_r_0.4_Complex
 (K-1), Avg_Cond_r_0.4_Complex (S cm-1), 1000/(T-Tg+50)_r_0.6_Complex
 (K-1), Avg_Cond_r_0.6_Complex (S cm-1), 1000/(T-Tg+50)_r_0.8_Complex
 (K-1), Avg_Cond_r_0.8_Complex (S cm-1), 1000/(T-Tg+50)_r_1.0_Complex
 (K-1), Avg_Cond_r_1.0_Complex (S cm-1) 3. Figure 5b Plotting Code.ipynb E.
 Figure S1-S5: Nuclear Magnetic Resonance (NMR) spectra of synthesized
 small molecules (S1-S3) and polymers (S4-S5). a. Figure S1.csv 1.
 Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names:
 Chemical Shift (ppm), Intensity (arb. units) b. Figure S2.csv 1.
 Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names:
 Chemical Shift (ppm), Intensity (arb. units) c. Figure S3.csv 1.
 Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names:
 Chemical Shift (ppm), Intensity (arb. units) d. Figure S4.csv 1.
 Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names:
 Chemical Shift (ppm), Intensity (arb. units) e. Figure S5.csv 1.
 Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names:
 Chemical Shift (ppm), Intensity (arb. units) F. Figure S7: Comparison of
 UV-vis absorbance spectra of films of undoped CPEs (OxyP-ImBr,
 OxyP-ImTFSI) and the complex (OxyP-ImPSS). a. Figure S7.csv 1. Variables:
 Energy [eV], Absorbance [arb. units] 2. Column names: Energy_OxyP-ImBr
 (eV), Abs_OxyP-ImBr (arb. units), Energy_OxyP-ImTFSI (eV), Abs_OxyP-ImTFSI
 (arb. units), Energy_OxyP-ImPSS (eV), Abs_OxyP-ImPSS (arb. units) 3.
 Figure S7 Plotting Code.ipynb G. Figure S8-S9: Normalized UV-Vis spectra
 of the undoped OxyP-ImBr (CPE) and undoped OxyP-ImPSS (complex) showing
 the modified Franck-Condon model deconvolution of their spectra. a. Figure
 S8.csv 1. Variables: Energy [eV], Absorbance [arb. units] 2. Column names:
 Energy_OxyP-ImBr (eV), Abs_OxyP-ImBr (arb. units) 3. Figure S8 Spano Model
 Fitting.ipynb b. Figure S9.csv 1. Variables: Energy [eV], Absorbance [arb.
 units] 2. Column names: Energy_OxyP-ImPSS (eV), Abs_OxyP-ImPSS (arb.
 units) 3. Figure S9 Spano Model Fitting.ipynb H. Figure S11,S13: 1D GIWAXS
 of undoped and electronically doped OxyP-ImBr (CPE) and OxyP-ImPSS
 (complex) films. a. Figure S11.csv 1. Variables: q [A-1], Intensity [arb.
 units] 2. Column names: q_OxyP-ImBr_Undoped (A-1), I_OxyP-ImBr_Undoped
 (arb. units), q_OxyP-ImBr_30min_Doped (A-1), I_OxyP-ImBr_30min_Doped (arb.
 units), q_OxyP-ImBr_2hrs_Doped (A-1), I_OxyP-ImBr_2hrs_Doped (arb. units)
 3. Figure S11 Plotting Code.ipynb b. Figure S13.csv 1. Variables: q [A-1],
 Intensity [arb. units] 2. Column names: q_OxyP-ImPSS_Undoped (A-1),
 I_OxyP-ImPSS_Undoped (arb. units), q_OxyP-ImPSS_30min_Doped (A-1),
 I_OxyP-ImPSS_30min_Doped (arb. units), q_OxyP-ImPSS_2hrs_Doped (A-1),
 I_OxyP-ImPSS_2hrs_Doped (arb. units) 3. Figure S13 Plotting Code.ipynb I.
 Figure S14,S15: Normalized photoluminescence spectra of OxyP-ImBr (CPE)
 and OxyP-ImPSS (Complex) showing the modified Franck-Condon model
 deconvolution of the spectra to fit HJ aggregation in polythiophene
 materials. a. Figure S14.csv 1. Variables: Energy [eV], Normalized
 Photoluminescence Intensity [arb. units] 2. Column names: Energy_OxyP-ImBr
 (eV), Norm_PL_OxyP-ImBr (arb. units) 3. Figure S14 with Franck-Condon
 Fitting.ipynb b. Figure S15.csv 1. Variables: Energy [eV], Normalized
 Photoluminescence Intensity [arb. units] 2. Column names:
 Energy_OxyP-ImPSS (eV), Norm_PL_OxyP-ImPSS (arb. units) 3. Figure S15 with
 Franck-Condon Fitting.ipynb J. Figure S16,S17: Comparison of
 representative Cyclic Voltammetry (CV) traces of CPE (OxyP-ImBr) and
 complex (OxyP-ImPSS) at 20 mV/s, and stability of OxyP-ImPSS complex over
 100 cycles at 10 mV/s. a. Figure S16a.csv 1. Variables: Voltage [V vs.
 Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr (V vs. Ag/AgCl),
 Current_OxyP-ImBr (mA), Voltage_OxyP-ImPSS (V vs. Ag/AgCl),
 Current_OxyP-ImPSS (mA) b. Figure S16b.csv 1. Variables: Voltage [V vs.
 Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS (V vs.
 Ag/AgCl), Current_OxyP-ImPSS (mA) c. Figure S17.csv 1. Variables: Voltage
 [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr (V vs.
 Ag/AgCl), Current_OxyP-ImBr (mA), Voltage_OxyP-ImPSS (V vs. Ag/AgCl),
 Current_OxyP-ImPSS (mA) K. Figure S18,S20: Cyclic Voltammograms of
 OxyP-ImBr and OxyP-ImPSS at various scan rates. a. Figure S18a.csv 1.
 Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names:
 Voltage_OxyP-ImBr_10mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_10mV/s (mA) b.
 Figure S18b.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2.
 Column names: Voltage_OxyP-ImBr_20mV/s (V vs. Ag/AgCl),
 Current_OxyP-ImBr_20mV/s (mA) c. Figure S18c.csv 1. Variables: Voltage [V
 vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_50mV/s (V
 vs. Ag/AgCl), Current_OxyP-ImBr_50mV/s (mA) d. Figure S18d.csv 1.
 Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names:
 Voltage_OxyP-ImBr_100mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_100mV/s (mA)
 e. Figure S20a.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2.
 Column names: Voltage_OxyP-ImPSS_10mV/s (V vs. Ag/AgCl),
 Current_OxyP-ImPSS_10mV/s (mA) f. Figure S20b.csv 1. Variables: Voltage [V
 vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_20mV/s (V
 vs. Ag/AgCl), Current_OxyP-ImPSS_20mV/s (mA) g. Figure S20c.csv 1.
 Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names:
 Voltage_OxyP-ImPSS_50mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_50mV/s (mA)
 h. Figure S20d.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2.
 Column names: Voltage_OxyP-ImPSS_100mV/s (V vs. Ag/AgCl),
 Current_OxyP-ImPSS_100mV/s (mA) L. Figure S19,S21: Cyclic Voltammograms of
 the CPE, OxyP-ImBr and the complex OxyP-ImPSS at a scan rate of 20 mV/s
 with increasing potential windows up to 0.9 V vs Ag/AgCl. a. Figure
 S19.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column
 names: Voltage_OxyP-ImBr_20mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_20mV/s
 (mA) b. Figure S21.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA]
 2. Column names: Voltage_OxyP-ImPSS_20mV/s (V vs. Ag/AgCl),
 Current_OxyP-ImPSS_20mV/s (mA) M. Figure S22: Representative
 Current-Voltage profiles for DC electronic conductivity measurement of 5
 minutes doped OxyP-ImBr (CPE) and OxyP-ImPSS (Complex) with voltage sweep
 from of -0.5 to 0.5 V. a. Figure S22a.csv 1. Variables: Voltage [V],
 Current [µA] 2. Column names: Voltage_OxyP-ImBr_5min_Doped (V),
 Current_OxyP-ImBr_5min_Doped (µA) b. Figure S22b.csv 1. Variables: Voltage
 [V], Current [µA] 2. Column names: Voltage_OxyP-ImPSS_5min_Doped (V),
 Current_OxyP-ImPSS_5min_Doped (µA) c. Figure S22 Plotting Code.ipynb N.
 Figure S23: Representative Nyquist plot for OxyP-ImTFSI with r=0.8 LiTFSI
 salt-loading at ~30 °C, between two symmetric blocking electrodes. a.
 Figure S23.csv 1. Variables: Real(Complex Impedance) [Ohm],
 Imaginary(Complex Impedance) [Ohm] 2. Column names: Re
 (Z)_OxyP-ImTFSI_r_0.8_30C (Ohm), Im (Z)_OxyP-ImTFSI_r_0.8_30C (Ohm) O.
 Figure S24: Ionic conductivity of OxyP-ImTFSI (CPE) and OxyP-ImPSS
 (complex) as a function of LiTFSI salt concentration and temperature. a.
 Figure S24a.csv 1. Variables: 1000/T [K-1], Ionic Conductivity [S cm-1] 2.
 Column names: 1000/T_OxyP-ImTFSI_r_0 (K-1), Avg_Cond_OxyP-ImTFSI_r_0 (S
 cm-1), 1000/T_OxyP-ImTFSI_r_0.2 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.2 (S
 cm-1), 1000/T_OxyP-ImTFSI_r_0.4 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.4 (S
 cm-1), 1000/T_OxyP-ImTFSI_r_0.6 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.6 (S
 cm-1), 1000/T_OxyP-ImTFSI_r_0.8 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.8 (S
 cm-1), 1000/T_OxyP-ImTFSI_r_1.0 (K-1), Avg_Cond_OxyP-ImTFSI_r_1.0 (S cm-1)
 b. Figure S24b.csv 1. Variables: 1000/T [K-1], Ionic Conductivity [S cm-1]
 2. Column names: 1000/T_OxyP-ImPSS_r_0.4 (K-1), Avg_Cond_OxyP-ImPSS_r_0.4
 (S cm-1), 1000/T_OxyP-ImPSS_r_0.6 (K-1), Avg_Cond_OxyP-ImPSS_r_0.6 (S
 cm-1), 1000/T_OxyP-ImPSS_r_0.8 (K-1), Avg_Cond_OxyP-ImPSS_r_0.8 (S cm-1),
 1000/T_OxyP-ImPSS_r_1.0 (K-1), Avg_Cond_OxyP-ImPSS_r_1.0 (S cm-1) P.
 Figure S25: Glass transition temperature measurements via Differential
 Scanning Calorimetry for the neat CPEs, OxyP-ImBr and OxyP-ImTFSI. a.
 Figure S25.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W min
 g-1 °C-1] 2. Column names: Temperature_OxyP-ImBr (DegC), Normalized Heat
 Flow_OxyP-ImBr (W min g-1 DegC-1), Temperature_OxyP-ImTFSI (DegC),
 Normalized Heat Flow_OxyP-ImTFSI (W min g-1 DegC-1) Q. Figure S26,S27:
 Glass transition temperature measurements via Differential Scanning
 Calorimetry for the neat OxyP-ImBr and the neat OxyP-ImTFSI at various
 heating rates. a. Figure S26.csv 1. Variables: Temperature [°C],
 Normalized Heat Flow [W g-1] 2. Column names: Temperature_OxyP-ImBr_1Cpm
 (DegC), Normalized Heat Flow_OxyP-ImBr_1Cpm (W g-1),
 Temperature_OxyP-ImBr_10Cpm (DegC), Normalized Heat Flow_OxyP-ImBr_10Cpm
 (W g-1), Temperature_OxyP-ImBr_20Cpm (DegC), Normalized Heat
 Flow_OxyP-ImBr_20Cpm (W g-1), Temperature_OxyP-ImBr_50Cpm (DegC),
 Normalized Heat Flow_OxyP-ImBr_50Cpm (W g-1) b. Figure S27.csv 1.
 Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temperature_OxyP-ImTFSI_1Cpm (DegC), Normalized Heat Flow_OxyP-ImTFSI_1Cpm
 (W g-1), Temperature_OxyP-ImTFSI_10Cpm (DegC), Normalized Heat
 Flow_OxyP-ImTFSI_10Cpm (W g-1), Temperature_OxyP-ImTFSI_20Cpm (DegC),
 Normalized Heat Flow_OxyP-ImTFSI_20Cpm (W g-1),
 Temperature_OxyP-ImTFSI_50Cpm (DegC), Normalized Heat
 Flow_OxyP-ImTFSI_50Cpm (W g-1) R. Figure S28,S29: Glass transition
 temperature measurements via Differential Scanning Calorimetry for
 OxyP-ImTFSI with various LiTFSI salt loadings (r = 0.8, 1.0). a. Figure
 S28.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2.
 Column names: Temp_SecHeat (DegC), Norm Heat Flow_SecHeat (W g-1),
 Temp_SecCool (DegC), Norm Heat Flow_SecCool (W g-1), Temp_ThirdHeat
 (DegC), Norm Heat Flow_ThirdHeat (W g-1) b. Figure S29.csv 1. Variables:
 Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_SecHeat (DegC), Norm Heat Flow_SecHeat (W g-1), Temp_SecCool (DegC),
 Norm Heat Flow_SecCool (W g-1), Temp_ThirdHeat (DegC), Norm Heat
 Flow_ThirdHeat (W g-1) S. Figure S30: Combined plot of the glass
 transition temperature measurements via Differential Scanning Calorimetry
 for OxyP-ImPSS (complex) with various LiTFSI salt loadings. a. Figure
 S30.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W min g-1
 °C-1] 2. Column names: Temp_OxyP-ImPSS_r_0 (DegC), Normalized Heat
 Flow_OxyP-ImPSS_r_0 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_0.4 (DegC),
 Normalized Heat Flow_OxyP-ImPSS_r_0.4 (W min g-1 DegC-1),
 Temp_OxyP-ImPSS_r_0.6 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_0.6 (W min
 g-1 DegC-1), Temp_OxyP-ImPSS_r_0.8 (DegC), Normalized Heat
 Flow_OxyP-ImPSS_r_0.8 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_1.0 (DegC),
 Normalized Heat Flow_OxyP-ImPSS_r_1.0 (W min g-1 DegC-1) T. Figure
 S31-S35: Glass transition temperature measurements via Differential
 Scanning Calorimetry for OxyP-ImPSS (complex) with various LiTFSI salt
 loadings at various heating rates. a. Figure S31.csv 1. Variables:
 Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_OxyP-ImPSS_r_1.0_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_1Cpm (W
 g-1), Temp_OxyP-ImPSS_r_1.0_10Cpm (DegC), Norm Heat
 Flow_OxyP-ImPSS_r_1.0_10Cpm (W g-1), Temp_OxyP-ImPSS_r_1.0_20Cpm (DegC),
 Norm Heat Flow_OxyP-ImPSS_r_1.0_20Cpm (W g-1), Temp_OxyP-ImPSS_r_1.0_50Cpm
 (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_50Cpm (W g-1) b. Figure S32.csv 1.
 Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_OxyP-ImPSS_r_0.8_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_1Cpm (W
 g-1), Temp_OxyP-ImPSS_r_0.8_10Cpm (DegC), Norm Heat
 Flow_OxyP-ImPSS_r_0.8_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.8_20Cpm (DegC),
 Norm Heat Flow_OxyP-ImPSS_r_0.8_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.8_50Cpm
 (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_50Cpm (W g-1) c. Figure S33.csv 1.
 Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_OxyP-ImPSS_r_0.6_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_1Cpm (W
 g-1), Temp_OxyP-ImPSS_r_0.6_10Cpm (DegC), Norm Heat
 Flow_OxyP-ImPSS_r_0.6_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.6_20Cpm (DegC),
 Norm Heat Flow_OxyP-ImPSS_r_0.6_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.6_50Cpm
 (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_50Cpm (W g-1) d. Figure S34.csv 1.
 Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_OxyP-ImPSS_r_0.4_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_1Cpm (W
 g-1), Temp_OxyP-ImPSS_r_0.4_10Cpm (DegC), Norm Heat
 Flow_OxyP-ImPSS_r_0.4_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.4_20Cpm (DegC),
 Norm Heat Flow_OxyP-ImPSS_r_0.4_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.4_50Cpm
 (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_50Cpm (W g-1) e. Figure S35.csv 1.
 Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names:
 Temp_OxyP-ImPSS_r_0_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0_1Cpm (W
 g-1), Temp_OxyP-ImPSS_r_0_10Cpm (DegC), Norm Heat
 Flow_OxyP-ImPSS_r_0_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0_20Cpm (DegC), Norm
 Heat Flow_OxyP-ImPSS_r_0_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0_50Cpm (DegC),
 Norm Heat Flow_OxyP-ImPSS_r_0_50Cpm (W g-1) ``` 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 METHODOLOGICAL INFORMATION 1. Description of methods
 used for collection/generation of data: Please refer to supporting
 information document for methodology of data generation and collection. 2.
 Methods for processing the data: Please refer to supporting information
 document for methodology of data processing. 3. Instrument- or
 software-specific information needed to interpret the data: All NMR data
 were processed using MestReNova (Version: 14.3.1-31739). All figure plots
 in the manuscript and the supporting information were plotted either using
 Igor Pro 8 (Version: 8.04, Build 34722) or using Python Code in Visual
 Studio Code (Version: 1.101.0). 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: Pratyusha Das, Alexandra Zele, Ming-Pei Lin, J. Tyler Mefford,
 Michael L. Chabinyc, Rachel A. Segalman