READ ME File For 'Dataset for Random telegraph noise caused by a single dopant in a metal oxide semiconductor field effect transistor at low temperature' [Revision record] 2020_01_06: This file was initially created. 2020_05_05: The data and this file were updated upon submission of the revised manuscript to AIP advances. Dataset DOI: https://doi.org/10.5258/SOTON/D1193 ReadMe Author: Kouta Ibukuro, University of Southampton This dataset supports the publication: AUTHORS: Kouta Ibukuro 1,∗, Joseph Hillier 1, Fayong Liu 1, Muhammad Khaled Husain 1, Zuo Li 1, Isao Tomita 2, Yoshishige Tsuchiya 1, Harvey Rutt 1 and Shinichi Saito 1 TITLE: Random telegraph signals caused by a singledopant in a metal oxide semiconductor field effect transistor at low temperature JOURNAL: AIP advances PAPER DOI: Not given yet Dates of Data Production: 1/7/2019 - 31/12/2019 Licence: CC BY This dataset contains: All figures that appear in the publication and dataset used to generate the figures. A figure and its accompanying dataset were stored in a separate folder with the name being the title of the figure appeared in the paper. For example, the file for Figure.1 and the dataset to generate Figure.1 were stored in a folder called 'Figure_1' Some figures have the same dataset to be generated, and in that case such a folder is called 'Figure_4_5_6'. Figure 10 is a schematic and did not require any experimental date to be generated. Figure 1 Filename for Figure.1: figure_idvg.pdf (a) and (b) are schematics. (c) The following data were used; std_idvg_0050 [(1) ; 23_07_2019 16_57_34].csv (300K) std_idvg_0050 [(3) _4K_; 24_07_2019 07_49_47].csv (3.8K) This figure is generated by plotting Drain_I against Gate_V for both csv files, superimposed in a single figure. Matlab was used to generate both plots. Figure 2 Filename for Figure.2: figure_csd_4.pdf The following data was used; std_csd_Id_wide_auto [(1) ; 30_07_2019 21_22_16].csv This figure is generated by plotting Drain_I against Drain_V and Gate_V. Matlab was used to generate a plot. Figure 3 Filename for Figure.3: fig_drain_conductance.pdf SET067_chip_4_E2_W10um_L4um_pMOS_plc_3_Vsub.csv SET067_chip_4_E2_W10um_L10um_pMOS_plc_3_Vsub.csv Matlab was used to generate the figure. Figure 4,5,6 Filename for Figure.4: figure_split_cv_3.pdf Filename for Figure.5: fig_wdm.pdf Filename for Figure.6: fig_mob.pdf The following data were used; Advanced split CV accumulation VsVd n450mV [(2) ; 19_11_2019 16_03_02].csv Advanced split CV accumulation VsVd n500mV [(2) ; 19_11_2019 16_04_39].csv Advanced split CV accumulation VsVd n400mV [(2) ; 19_11_2019 16_01_27].csv Advanced split CV accumulation VsVd n350mV [(2) ; 19_11_2019 15_59_51].csv Advanced split CV accumulation VsVd n300mV [(2) ; 19_11_2019 15_58_15].csv Advanced split CV accumulation VsVd n250mV [(2) ; 19_11_2019 15_56_39].csv Advanced split CV accumulation VsVd n200mV [(2) ; 19_11_2019 15_55_03].csv Advanced split CV accumulation VsVd n150mV [(2) ; 19_11_2019 15_53_27].csv Advanced split CV accumulation VsVd n100mV [(2) ; 19_11_2019 15_51_51].csv Advanced split CV accumulation VsVd n50mV [(2) ; 19_11_2019 15_50_15].csv Advanced split CV accumulation VsVd 0V [(2) ; 19_11_2019 15_48_39].csv Advanced split CV accumulation VsVd n500mV [(1) ; 19_11_2019 15_39_45].csv Advanced split CV accumulation VsVd n450mV [(1) ; 19_11_2019 15_38_09].csv Advanced split CV accumulation VsVd n400mV [(1) ; 19_11_2019 15_36_33].csv Advanced split CV accumulation VsVd n350mV [(1) ; 19_11_2019 15_34_57].csv Advanced split CV accumulation VsVd n250mV [(1) ; 19_11_2019 15_31_45].csv Advanced split CV accumulation VsVd n300mV [(1) ; 19_11_2019 15_33_21].csv Advanced split CV accumulation VsVd n200mV [(1) ; 19_11_2019 15_30_08].csv Advanced split CV accumulation VsVd n150mV [(1) ; 19_11_2019 15_28_33].csv Advanced split CV accumulation VsVd n100mV [(1) ; 19_11_2019 15_26_57].csv Advanced split CV accumulation VsVd n50mV [(1) ; 19_11_2019 15_25_20].csv Advanced split CV accumulation VsVd 0V [(1) ; 19_11_2019 15_23_34].csv Advanced split CV inversion Vwell 500mV [(2) ; 19_11_2019 15_06_07].csv Advanced split CV inversion Vwell 400mV [(2) ; 19_11_2019 15_02_55].csv Advanced split CV inversion Vwell 450mV [(2) ; 19_11_2019 15_04_31].csv Advanced split CV inversion Vwell 350mV [(2) ; 19_11_2019 15_01_19].csv Advanced split CV inversion Vwell 300mV [(2) ; 19_11_2019 14_59_43].csv Advanced split CV inversion Vwell 200mV [(2) ; 19_11_2019 14_56_30].csv Advanced split CV inversion Vwell 250mV [(2) ; 19_11_2019 14_58_07].csv Advanced split CV inversion Vwell 150mV [(2) ; 19_11_2019 14_54_54].csv Advanced split CV inversion Vwell 100mV [(2) ; 19_11_2019 14_53_18].csv Advanced split CV inversion Vwell 0V [(2) ; 19_11_2019 14_50_06].csv Advanced split CV inversion Vwell 50mV [(2) ; 19_11_2019 14_51_42].csv Advanced split CV inversion Vwell 500mV [(1) ; 19_11_2019 14_40_25].csv Advanced split CV inversion Vwell 400mV [(1) ; 19_11_2019 14_37_13].csv Advanced split CV inversion Vwell 450mV [(1) ; 19_11_2019 14_38_49].csv Advanced split CV inversion Vwell 350mV [(1) ; 19_11_2019 14_35_38].csv Advanced split CV inversion Vwell 300mV [(1) ; 19_11_2019 14_34_01].csv Advanced split CV inversion Vwell 200mV [(1) ; 19_11_2019 14_30_50].csv Advanced split CV inversion Vwell 250mV [(1) ; 19_11_2019 14_32_26].csv Advanced split CV inversion Vwell 150mV [(1) ; 19_11_2019 14_29_14].csv Advanced split CV inversion Vwell 50mV [(1) ; 19_11_2019 14_26_02].csv Advanced split CV inversion Vwell 100mV [(1) ; 19_11_2019 14_27_38].csv Advanced split CV inversion Vwell 0V [(1) ; 19_11_2019 14_24_26].csv The bias condition and the setup for each measurement can be well understood from the title of each file as well as the content of the files. The method to generate figure.3,4,5 is clearly explained in the main text. Matlab was used to generate the figures. Figure 7 Filename for Figure.7: fig_csd_vsub_3.pdf The following data was used; std_csd_Id_wide_auto [(1) ; 30_07_2019 21_22_16].csv std_csd_Id_wide_auto_Vwell_p010 [(4) ; 30_07_2019 18_03_22].csv std_csd_Id_wide_auto_Vwell_p020 [(4) ; 30_07_2019 17_16_33].csv std_csd_Id_wide_auto_Vwell_p030 [(4) ; 30_07_2019 16_29_34].csv std_csd_Id_wide_auto_Vwell_p040 [(3) ; 30_07_2019 15_08_38].csv std_csd_Id_wide_auto_Vwell_p050 [(1) ; 30_07_2019 14_07_32].csv This figure is generated by plotting Drain_I against Drain_V and Gate_V. Matlab was used to generate a plot. Figure 8 Filename for Figure.8: fig_idvg_vsub.pdf The following data was used; std_csd_Id_wide_auto_Vwell_p020_Vth shifts.csv This figure is generated by plotting Drain_I against Gate_V. Matlab was used to generate the figure. Figure 9,11 Filename for Figure.9: figure_iv_t.pdf Filename for Figure.11: figure_occ_2.pdf The following data were used; std_tdm_vd_n0030_vw_p0200_1.csv std_tdm_vd_n0030_vw_p0200_2.csv std_tdm_vd_n0030_vw_p0200_3.csv std_tdm_vd_n0030_vw_p0200_4.csv std_tdm_vd_n0030_vw_p0200_5.csv std_tdm_vd_n0030_vw_p0200_6.csv std_tdm_vd_n0030_vw_p0200_7.csv std_tdm_vd_n0030_vw_p0200_8.csv std_tdm_vd_n0030_vw_p0200_9.csv std_tdm_vd_n0030_vw_p0200_10.csv std_tdm_vd_n0030_vw_p0200_11.csv std_tdm_vd_n0030_vw_p0200_12.csv std_tdm_vd_n0030_vw_p0200_13.csv std_tdm_vd_n0030_vw_p0200_14.csv std_tdm_vd_n0030_vw_p0200_15.csv std_tdm_vd_n0030_vw_p0200_16.csv std_tdm_vd_n0030_vw_p0200_17.csv std_tdm_vd_n0030_vw_p0200_18.csv std_tdm_vd_n0030_vw_p0200_19.csv std_tdm_vd_n0030_vw_p0200_20.csv std_tdm_vd_n0030_vw_p0200_21.csv std_tdm_vd_n0030_vw_p0200_22.csv std_tdm_vd_n0030_vw_p0200_23.csv std_tdm_vd_n0030_vw_p0200_24.csv std_tdm_vd_n0030_vw_p0200_25.csv std_tdm_vd_n0030_vw_p0200_26.csv std_tdm_vd_n0030_vw_p0200_27.csv std_tdm_vd_n0030_vw_p0200_28.csv std_tdm_vd_n0030_vw_p0200_29.csv std_tdm_vd_n0030_vw_p0200_30.csv std_tdm_vd_n0030_vw_p0200_31.csv std_tdm_vd_n0030_vw_p0200_32.csv std_tdm_vd_n0030_vw_p0200_33.csv std_tdm_vd_n0030_vw_p0200_34.csv std_tdm_vd_n0030_vw_p0200_35.csv std_tdm_vd_n0030_vw_p0200_36.csv The bias condition and the setup for each measurement can be well understood from the content of the files. The method to generate figure.9 and 11 is clearly explained in the main text. Matlab was used to generate the figure. Figure 12 Filename for Figure.12: fig_lifetime_2.pdf (a) The same dataset as Figure 9 and 11 was used to generate Figure 12 (a). (b) and (c) The following data was used; std_tdm_vd_n0030_vw_p0200_v_10ks_3.csv The bias condition and the setup for this measurement can be well understood from the content of the files. The method to generate figure.12 is clearly explained in the main text. Matlab was used to generate the figure. Figure 13 Filename for Figure.13: fig_temp_var_2.pdf The following data were used; std_tdm_vd_n0030_vw_p0200_14.csv (for 3.8K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_1.csv (for 5K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_2.csv (for 7K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_3.csv (for 10K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_4.csv (for 11K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_5.csv (for 12.5K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_6.csv (for 14K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_7.csv (for 16K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_8.csv (for 20K) std_tdm_vd_n0030_vw_p0200_vg_n0645_temp_9.csv (for 25K) The method to generate figure.13 is clearly explained in the main text. Matlab was used to generate the figure. Information about geographic location of data collection: University of Southampton, U.K. Related projects: This work is supported by EPSRC Manufacturing Fellowship (EP/M008975/1), Lloyds Register Foundation International Consortium of Nanotechnology, and the Joint Research Project (e-SI-Amp (15SIB08)). This work is also supported by the European Metrology Programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme.