Food-slab freezing front data
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The dataset consists of three files that tabulate a) freezing front location vs penetration time (1500 data points, by a finite-difference model simulation), b) sensitivity of the penetration time due to thermal conductivity and latent heat independent perturbations (1200 data points); and c) sensitivity due to the combined effects of the aforementioned thermal properties (45 data points). Data in the second and third files were generated using an approximate solution to the freezing front (moving boundary) considering convective cooling and temperature-dependent thermal properties of a 1D food slab.  The results are cast vs Biot module, cooling medium temperature, thermal conductivity, and effective heat capacity; all expressed as dimensionless quantities' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["convective cooling","freezing front modeling","perturbation analysis","variable thermal properties"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The dataset consists of three files that tabulate a) freezing front location vs penetration time (1500 data points, by a finite-difference model simulation), b) sensitivity of the penetration time due to thermal conductivity and latent heat independent perturbations (1200 data points); and c) sensitivity due to the combined effects of the aforementioned thermal properties (45 data points). Data in the second and third files were generated using an approximate solution to the freezing front (moving boundary) considering convective cooling and temperature-dependent thermal properties of a 1D food slab.  The results are cast vs Biot module, cooling medium temperature, thermal conductivity, and effective heat capacity; all expressed as dimensionless quantities' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The dataset consists of three files that tabulate a) freezing front location vs penetration time (1500 data points, by a finite-difference model simulation), b) sensitivity of the penetration time due to thermal conductivity and latent heat independent perturbations (1200 data points); and c) sensitivity due to the combined effects of the aforementioned thermal properties (45 data points). Data in the second and third files were generated using an approximate solution to the freezing front (moving boundary) considering convective cooling and temperature-dependent thermal properties of a 1D food slab.  The results are cast vs Biot module, cooling medium temperature, thermal conductivity, and effective heat capacity; all expressed as dimensionless quantities
convective cooling; freezing front modeling; perturbation analysis; variable thermal properties