OPENSENSE - Opportunistic precipitation sensing network

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Published April 23, 2025 | Version v1
Dataset Open

OpenMesh Dataset

Authors/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., accepted for publication in Earth System Science Data).

The OpenMesh dataset comprises received signal level (RSL) measurements from over 103 wireless links operated by the NYC Community Mesh network. These opportunistic link observations, captured at one-minute intervals, enable urban weather sensing without dedicated instrumentation.

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

We gratefully acknowledge NYC Mesh for granting access to the network hardware.

The dataset follows OpenSense NetCDF conventions: 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)

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Additional details

Additional titles

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

Related works

Is published in
Journal: 10.5194/essd-2025-238 (DOI)

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

References

  • Jacoby, Dror, et al. "OpenMesh: Wireless Signal Dataset for Opportunistic Urban Weather Sensing in New York City." Earth System Science Data Discussions 2025 (2025): 1-27.