@@ -14,7 +14,7 @@ on [Zenodo](https://zenodo.org/).
1414
1515## How to use the xcube-zenodo plugin
1616
17- ### Lazy access of datasets published as ` tif ` or ` netcdfs ` and zipped (uncompressed) ` zarr `
17+ ### Lazy access of datasets published as ` tif ` and zipped (uncompressed) ` zarr `
1818
1919To access datasets published on Zenodo, locate the ** record ID** in the URL of the
2020respective Zenodo webpage. This ID is required when initializing the Zenodo data store.
@@ -36,16 +36,15 @@ ds = store.open_data(
3636To learn more check out the Example note books:
3737
3838- [ Access TIF] ( examples/01_lazy_access_tif.ipynb )
39- - [ Access NetCDF] ( examples/02_lazy_access_netcdf.ipynb )
40- - [ Access zipped Zarr] ( examples/03_lazy_access_zarr.ipynb )
39+ - [ Access zipped Zarr] ( examples/02_lazy_access_zarr.ipynb )
4140
4241
43- ### Access compressed datasets via the xcube's preload API
42+ ### Access compressed datasets and datasets published as ` netcdf ` via the xcube's preload API
4443
45- If datasets are published as ` zip ` , ` tar ` , ` tar.gz ` , or ` .rar ` you can use the preload
46- API to preload the data into the local file system. If the compressed file contains
47- multiple datasets, the data IDs will be extended by one layer. A short example is shown
48- below.
44+ If datasets are published as ` nc ` , ` zip ` , ` tar ` , ` tar.gz ` , or ` .rar ` you can use the
45+ preload API to preload the data into the local file system. If the compressed file
46+ contains multiple datasets, the data IDs will be extended by one layer. A short
47+ example is shown below.
4948
5049``` python
5150from xcube.core.store import new_data_store
@@ -58,6 +57,7 @@ ds = store.open_data(preloaded_data_ids[0])
5857
5958To learn more check out the example notebooks:
6059
60+ - [ Access NetCDF] ( examples/03_preload_netcdf.ipynb )
6161- [ Access zipped TIF files] ( examples/04_preload_zip.ipynb )
6262- [ Access RAR-compressed files] ( examples/05_preload_rar.ipynb )
6363
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