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doi: 10.5281/zenodo.17641 , 10.5281/zenodo.3674645 , 10.5281/zenodo.165134 , 10.5281/zenodo.7193373 , 10.5281/zenodo.46150 , 10.5281/zenodo.6645832 , 10.5281/zenodo.3706479 , 10.5281/zenodo.6645831 , 10.5281/zenodo.1040770 , 10.5281/zenodo.3921996 , 10.5281/zenodo.46151 , 10.5281/zenodo.16200 , 10.5281/zenodo.11093256 , 10.5281/zenodo.15309143 , 10.5281/zenodo.16208 , 10.5281/zenodo.165135 , 10.5281/zenodo.1040769 , 10.5281/zenodo.49636 , 10.5281/zenodo.3921997 , 10.5281/zenodo.10648 , 10.5281/zenodo.599698 , 10.5281/zenodo.7193374 , 10.5281/zenodo.6327346 , 10.5281/zenodo.48254 , 10.5281/zenodo.16248 , 10.5281/zenodo.3674646
doi: 10.5281/zenodo.17641 , 10.5281/zenodo.3674645 , 10.5281/zenodo.165134 , 10.5281/zenodo.7193373 , 10.5281/zenodo.46150 , 10.5281/zenodo.6645832 , 10.5281/zenodo.3706479 , 10.5281/zenodo.6645831 , 10.5281/zenodo.1040770 , 10.5281/zenodo.3921996 , 10.5281/zenodo.46151 , 10.5281/zenodo.16200 , 10.5281/zenodo.11093256 , 10.5281/zenodo.15309143 , 10.5281/zenodo.16208 , 10.5281/zenodo.165135 , 10.5281/zenodo.1040769 , 10.5281/zenodo.49636 , 10.5281/zenodo.3921997 , 10.5281/zenodo.10648 , 10.5281/zenodo.599698 , 10.5281/zenodo.7193374 , 10.5281/zenodo.6327346 , 10.5281/zenodo.48254 , 10.5281/zenodo.16248 , 10.5281/zenodo.3674646
ObsPy: A Python Toolbox for seismology/seismological observatories. ObsPy is an open-source project dedicated to provide a Python framework for processing seismological data. It provides parsers for common file formats, clients to access data centers and seismological signal processing routines which allow the manipulation of seismological time series (see Beyreuther et al. 2010, doi: 10.1785/gssrl.81.3.530 ; Megies et al. 2011, doi: 10.1785/gssrl.81.3.530). The goal of the ObsPy project is to facilitate rapid application development for seismology.
{"references": ["Beyreuther, M., Barsch, R., Krischer, L., Megies, T., Behr, Y., and Wassermann, J. (May/June 2010), ObsPy: A Python Toolbox for Seismology, Seismological Research Letters, 81 (3), 530-533.", "Megies, T., Beyreuther, M., Barsch, R., Krischer, L., and Wassermann, J. (2011), ObsPy - What can it do for data centers and observatories?, Annals of Geophysics, 54 (1)."]}
SEED, StationXML, ORFEUS, IRIS, SAC, seismology, signal analysis, python, FDSN, observatory, seismogram, ObsPy, Signal Processing, VERCE, Earthquakes, QuakeML, SEG-Y, time series, signal processing, earthquakes, science, Seismology, Python
SEED, StationXML, ORFEUS, IRIS, SAC, seismology, signal analysis, python, FDSN, observatory, seismogram, ObsPy, Signal Processing, VERCE, Earthquakes, QuakeML, SEG-Y, time series, signal processing, earthquakes, science, Seismology, Python
citations 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). | 21 | |
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. | Top 10% | |
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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