Bird Migration Intensity with Radar and Weather Variables for 2012

A subset of data for 2012 used to train gradient boosted trees analyzing bird migration intensity. The data integrates NEXRAD radar data with weather and terrestrial factors within 2-hour segments to assess within-night variation in predictor importance. The dataset was created by Miguel Jimenez and last updated on 2026-04-24.

Use Cases

• Training machine learning models to predict bird migration intensity based on integrated radar and weather data.
• Analyzing the dynamic importance of predictor variables like vegetation and land cover within a single migration night.
• Studying the spatial associations between migration and environmental factors at points around NEXRAD radar stations.

Strengths

• Integrates multiple data sources: NEXRAD radar, weather, and terrestrial factors like MODIS EVI and land cover.
• Data is structured for temporal granularity, using 2-hour segments to analyze within-night variation.
• Includes associated code for data processing and analysis, facilitating reproducibility.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• Represents only a subset of data for the year 2012 due to the large size of the full input datasets.

Provenance

Source

Miguel Jimenez via figshare.

Collection Method

Data integration from NEXRAD radar, weather sources, and NASA MODIS satellite products (EVI, Land Cover).

Time Range

2012

Freshness

Last updated 2026-04-24 22:01:40; freshness should be verified.

Geography

Focus on the contiguous United States, within the coverage of NEXRAD radar stations.