five

Raw Data for "STR-ConvLSTM: A Spatiotemporal Residual Learning Framework for Multivariate Salinity Forecasting in the Yangtze River Estuary"

收藏
Figshare2026-01-10 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/Raw_Data_for_STR-ConvLSTM_A_Spatiotemporal_Residual_Learning_Framework_for_Multivariate_Salinity_Forecasting_in_the_Yangtze_River_Estuary_/31041805
下载链接
链接失效反馈
官方服务:
资源简介:
Dataset for "STR-ConvLSTM: A Spatiotemporal Residual Learning Framework for Multivariate Salinity Forecasting in the Yangtze River Estuary" (PeerJ submission). It includes spatiotemporal data (29.5°N–33.5°N, 121.0°E–123.0°E) for the Yangtze River Estuary: Sea Surface Salinity (SSS, primary predictand) and covariates (current velocities, SST, SSH). Sourced from CMEMS GLOBAL_MULTIYEAR_PHY_001_030 (1/12° spatial, daily temporal resolution), these raw/preprocessed data support STR-ConvLSTM model training/validation.
创建时间:
2026-01-10
二维码
社区交流群
二维码
科研交流群
商业服务