2026-10-14T05:44:36Z https://www.scidb.cn/oai

10.57760/sciencedb.31542 2026-03-26T17:16:12Z

2026-03-26 training_samples_zarr_v32_final doi:10.57760/sciencedb.31542 en The dataset used in the crop yield prediction model (covering the contiguous United States) integrates NDVI, ERA5 meteorological data, and soil moisture data. It calculates indicators including monthly average temperature, monthly total precipitation, downward shortwave radiation, accumulated temperature, number of heat stress days, number of extreme rainfall days, length of drought periods, surface soil moisture (0–7 cm), and subsurface soil moisture (7–28 cm). For each indicator, three resolution channels are computed and stored to provide the model with a multi-scale receptive field. NDVI; ERA5; crop yield Minglin Zou PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank