OPENSENSE - Opportunistic precipitation sensing network

There is a newer version of the record available.

Published April 23, 2025 | Version v1
Dataset Open

OpenMesh Dataset

Creators

  • 1. ROR icon Tel Aviv University
  • 2. EDMO icon Columbia University
  • 3. NYC Mesh
  • 4. ROR icon Northwestern University

Description

Data for the manuscript “OpenMesh: Wireless Signal Dataset for Opportunistic Urban Weather Sensing in New York City” (Jacoby et al.,  https://essd.copernicus.org/preprints/essd-2025-238).

The OpenMesh dataset comprises received signal level (RSL) measurements from over 100 wireless links operated by the NYC Community Mesh network. These opportunistic link observations, captured at one‐minute intervals, enable urban rainfall sensing without dedicated instrumentation.

This dataset is the result of a collaboration between NYC Mesh volunteers, the WiMNet Lab at Columbia University, and the CellEnMon Lab at Tel-Aviv University.

We gratefully acknowledge NYC Mesh for granting access to the network hardware, and the OpenSense community for defining the NetCDF conventions used here (https://github.com/OpenSenseAction/netCDF_specifications).

For code, examples, and reproducible analysis, see the OpenMesh GitHub repository: https://github.com/drorjac/OpenMesh

 

Files

OpenMesh.zip

Files (35.3 MB)

Name Size Download all
md5:e03d0cac993d97d7ae7e8891fecaf72e
35.3 MB Preview Download

Additional details

Additional titles

Subtitle
: Wireless Link Measurements for Opportunistic Urban Weather Sensing in New York City

Funding

European Commission
NGI TRANSOCEANIC - NGI platform for coordinated EU-US Open Calls for networking, research, and innovation 101134993
U.S. National Science Foundation
NSF-BSF: CNS Core: Small: Improving Wireless Networks Robustness via Weather-Sensitive Predictive Management 1910757
U.S. National Science Foundation
NSF Engineering Research Center for Smart Streetscapes (CS3) 2133516

Software

Repository URL
https://github.com/drorjac/OpenMesh
Development Status
Active