The 2.4 GHz ISM band is shared by Wi-Fi, Bluetooth, Wireless HART, ISA100.11a, and several other industrial wireless systems. Our dataset contains comprehensive electromagnetic interference (EMI) measurements from machinery taken in various industrial environments. The measurements were taken at two frequencies: 900 MHz, 2.4 GHz. This dataset may be useful for understanding EMI emitters in factories and can be instrumental in developing interference mitigation strategies, aiding in RF band selection and enterprise frequency planning, improving wireless technology, and informing communications standardization activities such as the IEEE 3388 industrial wireless performance evaluation standard.The interference measurements were taken in the following types of industrial environments:1) Infrared Curing Machine: Curing process using infrared radiation producing EMI across the 2.4 GHz band, 2) Crane with an Unshielded VFD: Overhead gantry crane operating at 900 MHz with an unshielded variable frequency drive (VFD) causing broadband interference, 3) Microwave Dryer: Two independent sets of measurements of a microwave oven baking machines used for a ceramic drying process. Multiple magnetrons are used with a power output of 1100 Watts each, 4) Unidentified Interference: General recording of the 2400 MHz band capturing both wireless network traffic and an unidentified broadband RFI emitter possibly caused by an unshielded VFD.NIST Disclaimer: Certain commercial equipment, instruments, or materials are identified in this publication in order to describe the experimental procedures and data adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

The 2.4 GHz ISM band is shared by Wi-Fi, Bluetooth, Wireless HART, ISA100.11a, and several other industrial wireless systems. This band also includes microwave ovens which produce interference that disrupt communications within their vicinity, therefore, understanding and monitoring for interference from these types of radio emissions sources is crucial to ensure an optimal wireless user experience. Microwave ovens are common radio interference sources that disrupt the operation of the wireless networks in industrial environments. While avoiding these types of emissions would be an ideal solution, human practicalities often make the elimination of microwave ovens impossible. Therefore, understanding the properties of this common radio emission is necessary. A real-time spectrum analyzer (RTSA) was used to capture complex baseband recordings of radio frequency emissions of three different microwave ovens at 2.45 GHz. The measurement data herein may be used to replicate the interference in a laboratory setting and thereby allowing industrial wireless network integrators to evaluate the performance of their wireless networks operating concurrently with this type of interference.Disclaimer: Certain commercial equipment, instruments, or materials are identified in this publication in order to describe the experimental procedures and data adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.

This data contains in-phase and quadrature waveforms of AWS-1 LTE uplink emissions collected at NASA Langley Research Center's Langley Research Antenna System. The collection campaign is part of the NASCTN effort on AWS-3 LTE impacts on Aeronautical Mobile Telemetry https://www.nist.gov/programs-projects/aws-3-lte-impacts-amt. The work is detailed in the NTIA Technical Report TR-21-553 In-Situ Captures of AWS-1 LTE for Aeronautical Mobile Telemetry System Evaluation available at https://www.its.bldrdoc.gov/publications/details.aspx?pub=3262 . Additional pertinent details on recording parameter settings are outlined in the format provided in NTIA Technical Memo TM-21-553 available at https://www.its.bldrdoc.gov/publications/details.aspx?pub=3261 .

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.

Included here are figures and other relevant data from the paper "Characterizing Interconnects to 325 GHz". Abstract: We developed an interconnect characterization procedure that first embeds the interconnect into the error boxes of a multiline thru-reflect-line calibration and subsequently de-embeds the interconnect with a multi-tiered calibration. We experimentally validated our method with distributed contactless interconnects in the form of broadside coupled coplanar waveguides as a test case. We find excellent agreement between experiment, full-wave simulations, and a distributed model of contactless interconnects. This work provides a rigorous method to accurately characterize interconnects when conventional approaches are not applicable.

This dataset provides RF data from software defined ratio (SDR) measurement results of a few cases: A. one 4G LTE link, B. two LTE links, C. one LTE link and one Wi-Fi link. The LTE links were emulatedby USRP B210 units and an open-source software (srsRAN), and the Wi-Fi link was emulated by a pair ofWi-Fi commercial development boards. This dataset includes metadata and performance results (ina spreadsheet format) and I/Q baseband sample data (in a binary float point format). Though specifictrade names are mentioned, they should not be construed as an endorsement of that product. Other productsmay work as well or better.The spreadsheet files provide the mapping among some system parameters (such as the SDR received powerand SINR) and key performance indicators (KPIs), such as throughput and packet drop rate. The I/Q datafiles provide the digital samples of the received signals at the receivers (LTE or Wi-Fi).This dataset can be used to support research topics such as multi-cell LTE system performance evaluationand optimization, spectrum sensing and signal classification, and AI and machine learning, beside others.