bioRxivEcologyPreprint
The Dark Ecology Dataset: Measurements of Biological Activity in US Weather Radar from 1995 to 2025
Daniel R. SheldoniD, Kevin WinneriD, Iman DeznabiiD, Garrett BernsteiniD, Pankaj BhambaniiD, Tsung‐Yu LiniD, Peter DesmetiD, Adriaan M. DokteriD, Kyle G. HortoniD, Cecilia NilssoniD, Benjamin Mark Van DoreniD, Andrew FarnsworthiD, Frank A. La SorteiD, Subhransu MajiiD
- Citations
- 0
Abstract
The US NEXRAD radar network has monitored the aerosphere over the US and its territories continuously since the 1990s and archived nearly 300 million radar volume scans. These data contain a wealth of information about the movements of birds, bats, and insects. Historically, this biological information was difficult to access due to the amount of data and challenges in analyzing it. In the last 15 years, fueled by computational and methodological advances, large-scale aeroecology research has blossomed. However, comprehensive analyses of the NEXRAD archive remain very costly. We collected measurements from every volume scan in the NEXRAD archive--nearly 300 million data files total--to assemble a dataset of aerial biological activity over the US from 1995 to 2025. The core data are vertical profiles, which summarize biological activity at different heights above the radar station for each volume scan. We also provide time series data products that aggregate vertical profiles to point measurements at radar stations across time. These data products can support a range of aeroecology analyses at significantly reduced effort.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Analysis of mixtures of birds and insects in weather radar data
Xu Shi, Jacob R. Drucker, … Adriaan M. Dokter·Ornithological ApplicationsPeer-reviewed·Feb 27, 2025
- A simple method to separate birds and insects in single-pol weather radar data
R. Nussbaumer, B. Schmid, … F. Liechti·bioRxiv·Mar 8, 2021
- The morphotype approach to classification of aerial animals in radar data
Yuval Werber·bioRxiv·Jul 13, 2026
- Derivation of aerial insect concentration with triple frequency cloud radar observations
Moritz Lochmann, Birgen Haest, … Heike Kalesse‐Los·IEEE Transactions on Geoscience and Remote SensingPeer-reviewed·Jan 1, 2026
- Bird songs on the shelf: assessing vocal activity and output using data hidden in sound archives
Oscar Laverde-R., Paula Caycedo-Rosales, … Carlos Daniel Cadena·bioRxiv·Oct 13, 2017
- Next-generation ultrasonic recorders facilitate effective bat activity and distribution monitoring by citizen scientists
P. Lundberg, M. Meierhofer, … T. Lilley·EcospherePeer-reviewed·Dec 9, 2021