username
string | sighting_date
string | upload_date
string | latitude
string | longitude
string | location_name
string | confidence_score
string | verification_status
string | dataset_version
string | data_source
string | image_filename
string | image_size_bytes
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
debug_test
|
2024-01-15T18:00:00.000Z
|
2024-01-15T18:00:00.000Z
|
40.7128
|
-74.0060
|
Debug Test Location
|
0.95
|
human_verified
|
1.0.0
|
lantern_fly_tracker_app
|
lanternfly_debug_test_2024-01-15T18-00-00-000Z.jpg
| 1,813 |
Lantern Fly Research Dataset
This dataset contains human-verified spotted lanternfly sightings collected through the Lantern Fly Tracker app. Each entry includes high-quality photos, precise geolocation data, and comprehensive metadata for ecological research.
🎯 Purpose
This dataset supports:
- Ecological research on spotted lanternfly distribution and spread patterns
- Machine learning model training with verified, high-quality data
- Temporal and spatial analysis of invasive species behavior
- Conservation efforts and pest management strategies
- Citizen science validation and research
📊 Dataset Structure
lanternfly_research_dataset/
├── images/ # High-quality lanternfly photos
├── metadata/ # JSON files with location and metadata
└── README.md # This file
🔍 Data Quality
All photos in this dataset have been:
- AI-classified as potential spotted lanternflies
- Human-verified by app users for accuracy
- Geolocated with GPS coordinates
- Timestamped for temporal analysis
- Quality-checked for research standards
📋 Data Fields
Each sighting includes:
Image Data
- High-resolution photo of verified spotted lanternfly
- Unique filename with timestamp and username
Location Data
- GPS coordinates (latitude/longitude)
- Location name (human-readable description)
- Geographic precision for spatial analysis
Metadata
- Username of person who verified the sighting
- Sighting date/time (when photo was taken)
- Upload date (when added to dataset)
- AI confidence score (0-1 scale)
- Verification status (always "human_verified")
- Image file size and technical details
🚀 Usage
For Researchers
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("rlogh/lanternfly_research_dataset")
# Access images and metadata
images = dataset["images"]
metadata = dataset["metadata"]
For Conservation
- Track spread patterns over time
- Identify high-risk areas
- Monitor population dynamics
- Support eradication efforts
📈 Current Statistics
- Total sightings: Growing daily
- Geographic coverage: Multiple states
- Time range: 2024-present
- Data quality: Human-verified
🤝 Contributing
This dataset is automatically updated when users verify lanternfly sightings through the Lantern Fly Tracker app. Each verified sighting contributes valuable data to ecological research.
📜 Citation
If you use this dataset in your research, please cite:
@dataset{lanternfly_research_2024,
title={Lantern Fly Research Dataset: Human-verified spotted lanternfly sightings with geolocation data},
author={Lantern Fly Tracker Community},
year={2024},
publisher={Hugging Face},
url={https://huggingface.co/datasets/rlogh/lanternfly_research_dataset}
}
📄 License
This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
🔗 Links
- Dataset: https://huggingface.co/datasets/rlogh/lanternfly_research_dataset
- App: Lantern Fly Tracker (citizen science app)
- Research: Contact for collaboration opportunities
This dataset is maintained by the Lantern Fly Tracker community and updated automatically with verified sightings.
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