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The tissues probed include muscle, kidney, liver, bladder, intestine, skin, subcutaneous tissue, stomach, tendon, spleen, peritoneum, and blood from different vessels. Measurements were performed using a custom-made electrical impedance analyzer with two different types of sensing electrodes (monopolar and bipolar) and two sensing modalities (single fixed frequency and frequency scan). This data can be used to support a wide range of research and development efforts towards medical technologies that use electrical bioimpedance sensing as a key source of information to support clinical decisions, for example during diagnosis, treatment administration, or surgery. Specifically, this dataset may be used to support the development of technologies for autonomous identification of different tissues on contact, as demonstrated by the illustrative results presented in this paper. This capability may support future research towards assistive systems for enhancing procedural precision, safety and effectiveness, and may contribute to the development of autonomous robotic functionalities.\n                  <\/jats:p>","DOI":"10.1038\/s41597-026-07652-y","type":"journal-article","created":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T12:45:48Z","timestamp":1784292348000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["In vivo tissue bioimpedance dataset"],"prefix":"10.1038","volume":"13","author":[{"given":"Chiara","family":"Falagario","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Elena","family":"De Momi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Leonardo","family":"S. 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