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Data underlying Figure 7. Mean pulse value for the unbalanced case (one arm) for reference. |
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The glucose prediction from a PLSR model with 3 latent variables. The first column gives the reference (true) concentration, the second column gives the calibration prediction, the third column gives a line-fit for the calibration and the fourth column gives the cross validation prediction. |
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MD5: 547e891dbabc3bc92ff0c5c176b7c976
Preprocessed glucose spectra from point measurements. Preprocessing entails taking the median of 6 measurements, subtracting the preceding blank spectrum, and median filtering (3 points), The first column shows the glucose concentration (mixed). The rest of the columns are wavelength channels. |
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MD5: 640434a523c18a14d556ee741fe8a5df
Raw measured glucose spectra from point measurements. The first column shows the glucose concentration (mixed). The rest of the columns are wavelength channels. |
Dec 10, 2022
Mastani Joybari, Mahmood; Selvnes, Håkon; Vingelsgård, Erling; Sevault, Alexis; Hafner, Armin, 2022, "Replication Data for: Parametric study of low-temperature thermal energy storage using carbon dioxide as the phase change material in pillow plate heat exchangers", https://doi.org/10.18710/QGK54K, DataverseNO, V1
Industrial low-temperature freezing applications are often batch processes, requiring a lot of energy, exerting stress on the electrical grid. To relieve this stress, thermal energy storage can be used. However, there is a lack of suitable storage material for low temperature applications (around -50 °C). Under high pressures, carbon dioxide can be... |
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