Powder Data Commons

RX I/Q data from 0 to 4 simultaneous OFDM interferers using 5 dense deployment nodes on Powder.

This dataset was collected using G-NetTrack Pro on a Samsung Galaxy S23 Ultra while driving between Salt Lake City, Utah, USA, and Scipio, Utah, USA. The collected data consists of: (1) Spectrum measurements, such as frequency bands, RSRP, and RSRQ. and (2) Event measurements, such as 5G-to-5G handover. All measurements are associated with a location (latitude, longitude, elevation).

This dataset was collected during a series of drive tests conducted between two sites near the University of Utah, using a Quectel RM500 user equipment (UE) device and srsRAN gNBs (version 24.10), along with Nemo (Keysight) measurement tools. The data is organized into two tables: (1) gNB-side measurements, which include timestamped records of serving and neighboring cell identifiers along with their corresponding RSRP values, and (2) UE-side measurements, which capture the time, GPS location (latitude and longitude), serving and neighboring physical cell identities (PCI), and the RSRP values observed at the device.

Built on the POWDER-FRS outdoor RSS dataset (462.7 MHz, campus scale) using our ACM CoNEXT 2025 tool (PhARMNet). This dataset combines real RSS measurements, DSM/building maps, and TIREM-derived terrain features to synthesize RSS at unseen transmitter locations.

This dataset was collected using a Viavi CA5000 spectrum analyzer and a GPS application on a Motorola Edge, while driving around the University of Utah campus. The collected data consist of two measurement tables: (1) Spectrum measurements, with per-channel SS-RSRP and SS-SINR for Verizon and CBRS GAA channels, and (2) GPS measurements, capturing the location (latitude, longitude, elevation) where the spectrum measurements took place.

This dataset contains channel measurements from a measurement campaign conducted on the University of Utah campus for determining the placement of three massive MIMO base stations. The exercise also shows the viability of over a dozen candidate endpoint sites. This dataset is comprised of LTS frames sent by a transmitter that was moved from position to position (endpoint locations). These frames were measured at radio receivers on five candidate rooftop locations. Candidate rooftop sites (receivers) and potential endpoints locations (transmitter) are shown on the following map:

Date Collected	09/23/2020
Date Released	10/26/2020
Version	0.1
File Size	5.3 GiB
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We frequently perform spectrum scans from all available POWDER nodes. The scans cover all sub-6GHz frequencies. The resulting data is archived and can be downloaded for analysis. The data is also useful to look at activity within the bands POWDER can operate in.

This dataset was collected on the POWDER platform by the GENESYS Lab at Northeastern University.

This dataset is supplementary to the article 'G. Reus-Muns, D. Jaisinghani, K. Sankhe and K. R. Chowdhury, "Trust in 5G Open RANs through Machine Learning: RF Fingerprinting on the POWDER PAWR Platform," IEEE Globecom, 7-11 December 2020, Taipei, Taiwan.'

This massive MIMO dataset was collected by the RENEW team from Rice University using a mMIMO array set up in an anechoic chamber at the POWDER platform. In Full-Duplex systems, one of the main challenges is self-interference where outgoing transmissions essentially "drown" the incoming signals. This dataset measured the self-interference across all radios on a massive MIMO base station comprised of 48 radios. The RENEW Sounder tool was used to continuously send pilots from each antenna, in round robin fashion, while all other antennas listened to those transmissions.