# Analysis of Information Availability for Seismic and Volcanic Monitoring Systems: A Review
## 3 Results
### Data Acquisition and Processing  
Regarding data processing, in Table 5 below presents the most important findings of data acquisition and processing related to the proposed research questions. From this compilation, we could highlight several studies, as indicated below:  
In a real-time monitoring network, the seismic data acquisition comprises data arrival to the seismological data centers for subsequent storage, processing, and interpretation. Generally, data centers use acquisition and processing systems compatible with different seismic data formats by monitoring stations, such as SEED, MSEED, SAC, CD1.1, ASCII, SEG-Y, PH5, SEISAN, SUDS, GEOCSV, and others [16; 39], as argued by [PERSON] et al. [26]. These formats contain data representing the recording of sensors on different channels (seismic time series data) and control headers (time UTC, identifier code, channel, others). Acquisition systems allow finding essential parameters for event locations (joint hypocenter determination, moment tensor, focal mechanism, magnitude, seismic moment, depth, intensity, inversion, and others). These parameters are subsequently validated \begin{table}
\begin{tabular}{p{42.7 pt} p{284.5 pt}} \hline \hline
**Section** & **Data Acquisition and Processing** \\ \hline
**Article** & A17,A18,A19,A20,A21,A22,A23,A24,A25,A26,A27,A28,A29,A30 \\ \hline
**Focus** & Deconvolution, data processing workflow. Data reconstruction algorithms and acquisition processes. Seismic data formats. ObsPy framework and gaps \\ \hline \multirow{6}{*}{**Mechanism**} & \multirow{2}{*}{**Mechanism**} & Early deterministic deconvolution workflow. SGRAPH system includes generalized ray theory (GRT); genetic algorithm (GA); least-square fitting; auto-picking; fast Fourier transforms (FFT); ObsPy; Python library for seismology; RSAM, RSEM, SSAM and SSEM algorithms; ObspyDMT functionalities; query of station metadata; earthquake source metadata; plot to visualize metadata. \\ \cline{2-3}  & \multirow{2}{*}{**Protocols**} & SGRAPH supports common data formats, such as SAC, SEED, GSE, ASCII, and Nanometrics Y-format. Relevance vector machine (RVM) and a probabilistic data-driven model. Processing of retrieval data sets, seismological data retrieval tools: support for data exchange protocols FDSN, web services, Arclink. \\ \cline{2-3}  & \multirow{2}{*}{**Fomats**} & Loaded traces are maintained; processed; plotted; and saved as SAC, ASCII, or PS (post script) file formats. Python libraries NumPy and SciPy, SEED data format, XML format, rdseed files, evalersy files, RESP files, WIN files to SAC standard format, FDSN service interfaces (ObsPy): fdsnys-station for accessing station metadata in StationXML format. Wilber, WebDC, NetDC, Brex-Fast, Emerald, IceoS, SOD, obyDMT. \\ \cline{2-3}  & \multirow{2}{*}{**Topologies**} & Maintaining and analyzing seismic waveform data in a stand-alone environment. Format Structure: SEED, SAC, GSE, CSS, SEISAN, miniSEED, ASCII, ESSTF. fdsnws-dataset for accessing time series in miniSEED format, and fdsnws-event for accessing earthquake parameters in QuakeML format. \\ \hline \multirow{6}{*}{**Application Area (Scope)**} & Reconstruct seismic data and simultaneously quantify uncertainty. Characteristics of waveform data formats. Python toolbox that simplifies the usage of Python programming for seismologists. ObspyDMT used for query, retrieval, processing, and management of seismological data sets, including very large, heterogeneous, and dynamically growing ones. \\ \cline{2-3}  & & \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Data Acquisition and Processing—Results. semi-automatically by relating recognized important events with other parameters associated with the phenomenon, such as teleseism, regional earthquakes, satellite images, volcanic observatories monitoring, cameras monitoring, infrasound detection networks, meteorological phenomena, community reports, among others [1; 73]. Regarding filtering methods to reduce seismic noise caused by site effects, ambient noise, or data gaps.