Multimodal Time‑Series Dataset for Cold Stress Prediction in a Cold‑Region Open Field

This dataset supports the paper "Early Prediction of Cold‑Region Open Field Cold Stress Based on Multimodal Time‑Series Data and LSTM Network". Data were collected from an open field in Heilongjiang, China (45.8°N) across two growing seasons (2024–2025). The dataset contains 319 daily records with five modalities: meteorology, soil, pest image counts, lure counts, and spore counts. The prediction task uses the past 7 days to forecast cold stress 3 days ahead. Cold stress is defined as daily minimum temperature < 0°C or daily mean temperature < 5°C. For detailed preprocessing and model training, see the associated GitHub repository: https://github.com/braverain08/cold-stress-prediction