Machine-Learning-Derived Dimethyl Sulphide (DMS) estimation for North Atlantic across 2002-2024 (2002-2009 Subset)

DMS Dataset for olfactory navigation and related research. The data was produced from machine learning ensemble methods, with a fine spatio-temporal resolution of 4km, daily. See the author's article for technical details and workflow. The dataset covers 04/07/2002-22/06/2024, latitude [0, 60], and longitude [-80, 15]. Due to upload limitations, the daily DMS 2D fields were aggregated into monthly 3D fields with time dimensions, saved as netcdf files. The 22-year DMS dataset will be split into three uploads. For more convenient data query and annotation, the AniDMS Python package is recommended. This upload contains data from 2002 to 2009.用于嗅觉导航及相关研究的DMS数据集（DMS Dataset）采用机器学习集成方法生成，时空分辨率达每日4公里，技术细节与处理流程详见作者相关论文。本数据集覆盖时段为2002年4月7日至2024年6月22日，纬度范围为[0, 60]，经度范围为[-80, 15]。受上传容量限制，原始每日DMS二维场数据已被聚合为带时间维度的月度三维场数据，并保存为netCDF文件。该22年时长的DMS数据集将分为三份上传，为便于数据查询与标注，推荐使用AniDMS Python工具包。本次上传包含2002年至2009年的数据集。