This report presents a catalog of seismic background noise spectra from a global network of seismograph stations and refines and documents models of seismic background noise. The data used in this study were primarily extracted from the digital data archive at the U.S. Geological Survey's Albuquerque Seismological Laboratory (ASL), which has been collecting and distributing digital data since 1972. The data include recordings from various networks, such as the Regional Seismic Test Network (RSTN), the TERRAscope network, and the China Digital Seismograph Network (CDSN). The data were processed to create noise spectra for different frequency bands, including short-period, broadband, and long-period signals. The report describes the data systems used, including the SRO, ASRO, DWWSSN, CDSN, IRIS/USGS, and IRIS/IDA systems. It also discusses the data preparation process, including data selection and processing, and the resulting station noise spectra. The noise spectra are presented in the appendix, with information on station codes, data systems, and recording periods. The report also includes noise models, including the low-noise model (LNM) and high-noise model (HNM), which are used to evaluate and compare station site characteristics. The report highlights the variability of seismic background noise across different stations and the challenges in distinguishing between natural microseisms and cultural noise. It also discusses the limitations of current seismometer technology and the need for better instruments and improved site selection to produce a global isoseismal noise map. The report concludes with the development of new noise models, including the new low-noise model (NLNM) and new high-noise model (NHNM), which are based on data from a wide range of stations and frequency bands. The report emphasizes the importance of continued research and data collection to improve the understanding of seismic background noise and its effects on seismological studies.This report presents a catalog of seismic background noise spectra from a global network of seismograph stations and refines and documents models of seismic background noise. The data used in this study were primarily extracted from the digital data archive at the U.S. Geological Survey's Albuquerque Seismological Laboratory (ASL), which has been collecting and distributing digital data since 1972. The data include recordings from various networks, such as the Regional Seismic Test Network (RSTN), the TERRAscope network, and the China Digital Seismograph Network (CDSN). The data were processed to create noise spectra for different frequency bands, including short-period, broadband, and long-period signals. The report describes the data systems used, including the SRO, ASRO, DWWSSN, CDSN, IRIS/USGS, and IRIS/IDA systems. It also discusses the data preparation process, including data selection and processing, and the resulting station noise spectra. The noise spectra are presented in the appendix, with information on station codes, data systems, and recording periods. The report also includes noise models, including the low-noise model (LNM) and high-noise model (HNM), which are used to evaluate and compare station site characteristics. The report highlights the variability of seismic background noise across different stations and the challenges in distinguishing between natural microseisms and cultural noise. It also discusses the limitations of current seismometer technology and the need for better instruments and improved site selection to produce a global isoseismal noise map. The report concludes with the development of new noise models, including the new low-noise model (NLNM) and new high-noise model (NHNM), which are based on data from a wide range of stations and frequency bands. The report emphasizes the importance of continued research and data collection to improve the understanding of seismic background noise and its effects on seismological studies.