OpenMesh: Wireless Signal Dataset for Opportunistic Urban Weather Sensing in New York City

Wireless back‑haul links can serve as dense, low‑cost weather sensors in cities. To spur research on this concept, especially for next‑generation networks (5G/6G), we present OpenMesh, an eight‑month, 1‑minute‑resolution dataset collected from the community‑run NYC Mesh network, which spans one of the world’s densest urban environments. The archive provides received‑signal‑level (RSL) measurements and complete metadata for 103 uni‑directional paths operating in four bands—5 GHz, 24 GHz, 60 GHz, and 70 GHz—with link lengths ranging from tens of metres to 6.9 km. When combined with nearby opportunistic sensors, OpenMesh enables real‑time retrieval of rainfall and other forms of precipitation, including the snowstorms captured during the study period, and supports multi‑band analyses for next‑generation connectivity in dense urban settings.

The dataset is openly available at https://doi.org/10.5281/zenodo.15268340.

Facebook
Twitter
LinkedIn
WhatsApp
Email

Latest Updates

News

SOC #11 29th of July 2025, 9:00 am CEST

How can Signal Processing Enhance Opportunistic Precipitation Sensing? Jonatan Ostrometzky1, Hagit Messer1 1 School of Electrical and Computer Engineering, Tel Aviv University, Israel Signal processing

Read More