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Dataset of ~80000 spectra and parameters created on the MSU and NYU supercomputers with TARDIS (github.com/tardis-sn/tardis) git hash c23cfb2895f043c25aa961e8a92df1baa87edd46 All the files needed to create this should be in this dataset. Loading the parameters requires numpy and pandas import numpy as np import pandas as pd spectra = np.load('grid_log_uniform_v1_part2_interp_spectra.npy') parameters = pd.read_hdf('grid_log_uniform_v1_part2.h5')
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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