A5057748594- Insect and Arachnid Ecology and Behavior
- Plant and animal studies
- Neurobiology and Insect Physiology Research
- Animal Behavior and Reproduction
- Photoreceptor and optogenetics research
- bioluminescence and chemiluminescence research
- Insect Pheromone Research and Control
- Diffusion and Search Dynamics
- Advanced Chemical Sensor Technologies
- Neural dynamics and brain function
- Salmonella and Campylobacter epidemiology
- Advanced Data Storage Technologies
- EEG and Brain-Computer Interfaces
- Insect and Pesticide Research
- Cloud Computing and Resource Management
- Big Data Technologies and Applications
- Geographic Information Systems Studies
- Big Data and Business Intelligence
- Neuroscience and Neural Engineering
- Vibrio bacteria research studies
- Distributed and Parallel Computing Systems
- Listeria monocytogenes in Food Safety
Goddard Space Flight Center
2025
University of Colorado Boulder
2018-2024
National Aeronautics and Space Administration
2024
University of Colorado System
2022-2023
University of Arizona
2017
Abstract We stand at the threshold of a transformative era in Earth observation, marked by space‐borne visible‐to‐shortwave infrared (VSWIR) imaging spectrometers that promise consistent global observations ecosystem function, phenology, and inter‐ intra‐annual change. However, full value repeat spectroscopy, information embedded within different temporal scales, reliability existing algorithms across diverse types vegetation phenophases have remained elusive due to absence suitable...
Significance We show that bees locate their queen by performing a cascade of “scenting” events, where individual direct pheromone signals fanning wings. The create dynamic spatiotemporal network recruits new broadcasting over time, as the pheromones travel distance is orders magnitude length an individual. develop high-throughput machine learning tools to identify locations and timings scenting demonstrate these events integrate into global “map” leads queen. use results build agent-based...
Abstract Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable light pollution. As urbanization continues brighten the night sky, firefly populations are under constant stress, and close half of species now threatened. Ensuring survival biodiversity depends on a large-scale conservation effort monitor protect thousands populations. While can be identified by their flash patterns, current methods require expert...
Abstract Many nocturnally active fireflies use precisely timed bioluminescent patterns to identify mates, making them especially vulnerable light pollution. As urbanization continues brighten the night sky, firefly populations are under constant stress, and close half of species now threatened. Ensuring survival biodiversity depends on a large-scale conservation effort monitor protect thousands populations. While can be identified by their flash patterns, current methods require expert...
Abstract Honey bees ( Apis mellifera L.) are social insects that makes frequent use of volatile pheromone signals to collectively navigate unpredictable and unknown environments. Ants have been shown effectively trails find the shortest path between two points, nest food source. The ant accomplished by depositing pheromones which then diffused passively, creating isotropic (i.e., non-directional axi-symmetric) signals. In this study, we report first instance honey bees’ ability solve problem...
Abstract Honey bee swarms are a landmark example of collective behavior. To become coherent swarm, bees locate their queen by tracking her pheromones, but how can distant individuals exploit these chemical signals which decay rapidly in space and time? Here, we combine novel behavioral assay with the machine vision detection organism location scenting behavior to track search aggregation dynamics honey Apis mellifera L. We find that collectively create communication network propagate...
Abstract Honey bees ( Apis mellifera L.) aggregate around the queen by collectively organizing a communication network to propagate volatile pheromone signals. Our previous study shows that individual “scent” emit pheromones and fan their wings direct signal flow, creating an efficient search aggregation process. In this work, we introduce environmental stressors in form of physical obstacles partially block signals prevent wide open path queen. We employ machine learning methods extract...
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Science. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Optimal Strategies Storing Datasets in Commercial CloudAuthorsDieu My TNguyeniDJohanaChazaro CortesiDMarina MDunniDAlexey NShiklomanoviDSee all authors Dieu T NguyeniDCorresponding Author•...
Honey bees (Apis mellifera L.) localize the queen and aggregate into a swarm by forming collective scenting network to directionally propagate volatile pheromone signals. Previous experiments show robustness of this communication strategy in presence physical obstacles that partially block flow path queen. Specifically, there is delay formation aggregation compared simple environment without perturbations. To better understand effect beyond temporal dynamics, we use experimental results as...
Commercial cloud services offer a more computational and cost-efficient approach to Earth science data management research.• Zarr is powerful, cloud-optimized file format being adopted by the community for its ability efficiently handle multi-dimensional datasets.• Chunking strategy, including chunk shapes sizes, affected processing time memory usage of common access analysis operations.• We found there are trade-offs in performance series spatial operations, but middle-range chunking...
Wind is a common environmental factor in the behavior of animals, such as honey bees (Apis mellifera L.). Volatile pheromones are one main communication signals that can be sensed and further propagated via scenting behavior, which release fan their wings to direct signals. While studies have correlated effect wind foraging bees, we aim study how wind, interacting with pheromone signals, impact resulting collective context swarm localizing queen aggregating around her. We experimentally show...
Abstract Honey bees ( Apis mellifera L.) localize the queen and aggregate into a swarm by forming collective scenting network to directionally propagate volatile pheromone signals. Previous experiments show robustness of this communication strategy in presence physical obstacles that partially block flow path queen. Specifically, there is delay formation aggregation compared simple environment without perturbations. To better understand effect beyond temporal dynamics, we use experimental...
Abstract Honey bees ( Apis mellifera L.) are social insects that makes frequent use of volatile pheromone signals to collectively navigate unpredictable and unknown environments. Ants have been shown effectively trails find the shortest path between two points, nest food source. The ant accomplished by depositing pheromones which then diffused passively, creating isotropic (i.e., non-directional axi-symmetric) signals. In this study, we report first instance honey bees’ ability solve problem...