This study develops the LGBM-3SC-CF product, a machine learning framework that integrates multi-source data (Himawari-8, ERA5, ASTERDEM, and rain gauge) to significantly improve rainfall classificatio
该数据集为2002-2019年全球范围通过高度计获取的海平面高度异常数据识别的涡旋与Argo浮标匹配的涡旋剖面数据集及通过Argo获取的位势密度异常识别的涡旋剖面数据集。其中海面高度数据来自Copernicus Marine Service All-sat merged产品，Argo剖面数据来自法国科里奥利全球数据中心。数据集采用Pickle文件格式，按逐年方式存储，提供全球海域的Argo浮标经纬
De-identified, de-faced structural MRI files for 90 participants, as well as co-registration error data used in the computation of intra-class correlations. Abstract:Magnetoencephalography (MEG
