This is a collection of data sets acquired for measurements of noise figure and receive system noise of wireless/radio frequency receivers and transceivers. These data include tabular data that list1) Inputs: calibrated input signal and excess noise levels, and2) Outputs: summary statistics for each type of user data collected for each DUT.The experiments that produced these data were meant to be used to assess noise measurands, but the data are generic and could be applied to other problems if desired.The structure of each zip archive dataset is as follows:| Root|-- (Anonymized DUT name 1)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt|-- (Anonymized DUT name 2)|---- Data file 1|---- Data file 2|---- ...Data file N|---- DUT-README.txt| (etc.)Data tables in each archive are provided as comma-separated values (.csv), and the descriptive text files are ASCII (.txt). Detailed discussion of the test conditions and data formatting is given by the DUT-README.txt for each DUT.

인체보호기준에 따른 전국 무선국의 전자파 측정 결과값 통계 현황입니다. 컬럼 : 서비스(LTE, 5G 등 무선서비스 목록), 합계(수량), 1%미만, 1~5%, 5~10%, 10~20%, 20~30%, 30~40%, 40~50%, 50~100%, 100%초과, 상세내용(그래프)

Radio Frequency Measurements for Selected Manufacturing and Industrial Environments using a PN Code Sounding methodology. The resulting measurements include complex impulse responses and spectrum analysis traces. Complex impulse responses were validated using both ray tracing and an outdoor two-ray reference facility. This data is meant to serve as a reference of how radio waves at 2.4 GHz and 5 GHz propagate in industrial environments.

This project [1] produced two types of data: Working Data and Derived Data. The Working Data includes raw measurements collected from a Radio Access Network (RAN) utilizing commercial-off-the-shelf (COTS) hardware. These measurements were gathered at multiple layers of the Long-Term Evolution (LTE) protocol stack within the RAN, in both a baseline state with encrypted data and an anomalous state with encryption disabled. The data is provided in comma-separated value (.csv) format.The Working Data was then processed into Derived Data using Python 3 scripts that performed statistical analyses to explore data distributions. The Derived Data is also available in .csv files. Additionally, human-readable spreadsheets are included, offering measurement notes and definitions related to the Working Data. Please note that the data set is divided into three distinct tranches, or sections, in alignment with the project's design of experiment.[1] M. Frey, T. Evans, A. Folz, M. Gregg, J. Quimby, J. Rezac. ?Anomalous state detection in radio access networks: A proof-of-concept.? Journal of Network and Computer Applications. Volume 231, 2024, https://doi.org/10.1016/j.jnca.2024.103979.

This project [1] produced two types of data: Working Data and Derived Data. The Working Data includes raw measurements collected from a Radio Access Network (RAN) utilizing commercial-off-the-shelf (COTS) hardware. These measurements were gathered at multiple layers of the Long-Term Evolution (LTE) protocol stack within the RAN, in both a baseline state with encrypted data and an anomalous state with encryption disabled. The data is provided in comma-separated value (.csv) format.The Working Data was then processed into Derived Data using Python 3 scripts that performed statistical analyses to explore data distributions. The Derived Data is also available in .csv files. Additionally, human-readable spreadsheets are included, offering measurement notes and definitions related to the Working Data. Please note that the data set is divided into three distinct tranches, or sections, in alignment with the project's design of experiment.[1] M. Frey, T. Evans, A. Folz, M. Gregg, J. Quimby, J. Rezac. ?Anomalous state detection in radio access networks: A proof-of-concept.? Journal of Network and Computer Applications. Volume 231, 2024, https://doi.org/10.1016/j.jnca.2024.103979.

The GPM Ground Validation Duke Microwave Radiometer (MWR) IPHEx dataset consists of data collected by the MWR, which is a sensitive microwave radiometer that detects the microwave radiances at two frequencies: 23.8 and 31.4 GHz. The measurements are are used to determine the presence of vapor and liquid water molecules in the atmosphere along with other derived parameters. These data were obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) field experiment, which was held in North Carolina with the goal to characterize warm season orographic precipitation regimes and the relationship between precipitation regimes and hydrologic processes in regions of complex terrain. These data are available for May 1, 2014 through June 15, 2014 and are in netCDF-3 format.