five

Using HydroShare Buckets to Access Resource Files

收藏
DataONE2025-08-25 更新2025-09-06 收录
下载链接:
https://search.dataone.org/view/sha256:c5e1eedb6af10f28acfb448df044cc93fc544fc1cecb632a1edb06a214ea9556
下载链接
链接失效反馈
官方服务:
资源简介:
This resource provides code examples for working directly with HydroShare S3 buckets (also referred to as HydroShare cloud storage buckets or simply HydroShare buckets) to access and manage resource files, without the need to download them locally first. Working directly with S3 buckets can offer better performance. This resource includes the following notebooks: 1- hydroshare_s3_bucket_access_examples.ipynb: Examples for working directly with HydroShare S3 buckets to access and manage resource files. 2- hs_bucket_access_gdal_example.ipynb: Examples for reading raster and shapefile directly from HydroShare S3 buckets using gdal. 3- hs_bucket_access_non_gdal_example.ipynb: Examples of using h5netcdf and xarray for reading netcdf files, rioxarray for reading raster files, and pandas for reading CSV files, all directly from HydroShare S3 buckets.
创建时间:
2025-08-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作