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    <identifier>10.57760/sciencedb.35030</identifier>
    <datestamp>2026-07-28T16:57:02Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-07-28</dc:date>
  <dc:title>Research data related to the time-varying phenomenon of electric shock impedance</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.35030</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset comprises a total of 17 data tables, all obtained from actual experimental measurements. The data support the findings of a currently submitted paper entitled:&amp;nbsp;Electric-field-induced ionization equilibrium shift explains time-varying impedance in electrically shocked animals.The 17 tables are named as follows:FIG1-Group1-left, FIG1-Group1-right, FIG1-Group2-left, FIG1-Group3-left, FIG1-Group4-right,FIG2-a-50V-Water, FIG2-b-100V-Water, FIG2-c-160V-Water, FIG2-d-220V-Water, FIG2-e-50V-Meat, FIG2-f-100V-Meat, FIG2-g-160V-Meat, FIG2-h-220V-Meat, FIG4-a-Comparative analysis, FIG4-b-Comparative analysis, FIG4-c-Comparative analysis, FIG4-d-Comparative analysis.1、Data Table FIG1-Group1-leftThe data in this table were acquired during the experiment using an RCD100LE data acquisition unit. The data is structured as 24 rows and 2 columns. The 24 rows correspond to 24 distinct time points. The first column records the data acquisition time in seconds, and the second column records the impedance value in ohms (&amp;Omega;). This table describes the time-varying impedance relationship of an experimental mice during electric shock.2、Data Table FIG1-Group1-rightThe data in this table were acquired during the experiment using an RCD100LE data acquisition unit. The data is structured as 23 rows and 2 columns. The 23 rows correspond to 23 distinct time points. The first column records the data acquisition time in seconds, and the second column records the impedance value in ohms (&amp;Omega;). This table describes the time-varying impedance relationship of raw meat during electric shock.3、Data Table FIG1-Group2-leftThe data in this table were acquired during the experiment using an RCD100LE data acquisition unit. The data is structured as 24 rows and 2 columns. The 24 rows correspond to 24 distinct time points. The first column records the data acquisition time in seconds, and the second column records the impedance value in ohms (&amp;Omega;). This table describes the time-varying impedance relationship of a moist wooden block during electrification.4、Data Table FIG1-Group3-leftThe data in this table were acquired during the experiment using an RCD100LE data acquisition unit. The data is structured as 19 rows and 2 columns. The 19 rows correspond to 19 distinct time points. The first column records the data acquisition time in seconds, and the second column records the impedance value in ohms (&amp;Omega;). This table describes the time-varying impedance relationship of dried raw meat during electrification.5、Data Table FIG1-Group4-rightThe data in this table were acquired during the experiment using an RCD100LE data acquisition unit. The data is structured as 19 rows and 2 columns. The 19 rows correspond to 19 distinct time points. The first column records the data acquisition time in seconds, and the second column records the impedance value in ohms (&amp;Omega;). This table describes the time-varying impedance relationship of a wooden block soaked in a sodium chloride-glycerol solution during electrification.6、Data Table FIG2-a-50V-WaterThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The data comprises 144 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of water conductivity under a constant 50 V applied voltage.7、Data Table FIG2-b-100V-WaterThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The data comprises 140 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of water conductivity under a constant 100 V applied voltage.8、Data Table FIG2-c-160V-WaterThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The data comprises 137 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of water conductivity under a constant 160 V applied voltage.9、Data Table FIG2-d-220V-WaterThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The data comprises 184 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of water conductivity under a constant 220 V applied voltage.10、Data Table FIG2-e-50V-MeatThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The table comprises 198 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of raw meat conductivity under a constant 50 V applied voltage.11、Data Table FIG2-f-100V-MeatThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The table comprises 173 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of raw meat conductivity under a constant 100 V applied voltage.12、Data Table FIG2-g-160V-MeatThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The table comprises 196 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of raw meat conductivity under a constant 160 V applied voltage.13、Data Table FIG2-h-220V-MeatThe data in this table were acquired during the experiment using a DDBJ-350 conductivity meter. The table comprises 174 rows and 2 columns, with each row representing a distinct time point. Column 1 lists the data acquisition time in seconds (s), and Column 2 lists the corresponding conductivity value in microsiemens per centimeter (&amp;mu;S/cm). This table describes the temporal variation of raw meat conductivity under a constant 220 V applied voltage.14、Data Table FIG4-a-Comparative analysisThe data in this table were compiled from experimental measurements obtained with an RCD100LE data acquisition device and computational results generated by the proposed model. The table comprises 2389 rows and 2 columns, with each row representing a distinct time point. Column 1 contains the experimentally measured data in amperes (A), and Column 2 contains the corresponding computational results from the proposed model in amperes (A). This table presents a comparative analysis of the model's output against the actual measured data.15、Data Table FIG4-b-Comparative analysisThe data in this table were compiled from experimental measurements obtained with an RCD100LE data acquisition unit and computational results generated by the model from reference (21) in the manuscript. The table comprises 2389 rows and 2 columns, with each row representing a distinct time point. Column 1 contains the experimentally measured data in amperes (A), and Column 2 contains the corresponding computational results from the referenced model in amperes (A). This table presents a comparative analysis of the model output from reference (21) against the actual measured data.16、Data Table FIG4-c-Comparative analysisThe data in this table were compiled from experimental measurements obtained with an RCD100LE data acquisition unit and computational results generated by the model from reference (16) in the manuscript. The table comprises 2389 rows and 2 columns, with each row representing a distinct time point. Column 1 contains the experimentally measured data in amperes (A), and Column 2 contains the corresponding computational results from the referenced model in amperes (A). This table presents a comparative analysis of the model output from reference (16) against the actual measured data.17、Data Table FIG4-d-Comparative analysisThe data in this table were compiled from experimental measurements obtained with an RCD100LE data acquisition unit and computational results generated by the model from reference (2) in the manuscript. The table comprises 2389 rows and 2 columns, with each row representing a distinct time point. Column 1 contains the experimentally measured data in amperes (A), and Column 2 contains the corresponding computational results from the referenced model in amperes (A). This table presents a comparative analysis of the model output from reference (2) against the actual measured data.</dc:description>
  <dc:subject> Time-varying impedance;  electric shock;  conductivity</dc:subject>
  <dc:creator>Haixin Tong</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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