A dataset of cell identifiers used in a scientific machine learning (SciML) project to model voltage-gated potassium (Kv) ion channels. The data, published by Domas Linkevicius on figshare in April 2026, supports a unified Hodgkin-Huxley-like model fitted to recordings from 20 different Kv types.
Use Cases
- Training SciML models for ion channel gating based on the described unified Hodgkin-Huxley-like framework.
- Analyzing within-type kinetic heterogeneity in genetically identical channels as referenced in the description.
- Benchmarking new ion channel models against the described set of seven previous Hodgkin-Huxley-like models.
- Applying non-linear mixed effects (NLME) modeling to account for biological variability in electrophysiological data.
Strengths
- Data underpins a model fitted to recordings from 20 different Kv channel types.
- Model described in the summary produced closer fits to data compared to seven previous models.
- Released under a permissive CC-BY-4.0 license for reuse.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is small (201.3 KB), indicating limited scope.
Provenance
- Source
- figshare
- Collection Method
- Likely derived from electrophysiological recordings and modeling work described in the associated research.
- Time Range
- null
- Freshness
- Last updated 2026-04-27 17:36:53; freshness should be verified.
- Geography
- null