Skip to content
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
8 changes: 7 additions & 1 deletion software.md
Original file line number Diff line number Diff line change
Expand Up @@ -111,6 +111,12 @@ The service returns subsets as CF compliant netCDF-3/4 files, in addition to oth
[Xarray](http://xarray.pydata.org/) is a python package designed for working with labelled, multi-dimensional array data, built around the netCDF data model.
It uses CF Conventions in several ways, such as encoding / decoding variables and interpreting metadata for visualization.

#### Pandera xarray - schema validation for xarray datasets

[Pandera xarray](https://pandera.readthedocs.io/en/latest/xarray_guide/index.html) extends Pandera with support for validating xarray `Dataset`, `DataArray`, and `DataTree` objects. It can validate dimensions, variable names, data types, and selected metadata conventions, including some checks related to CF metadata such as `standard_name` and `units`.

This makes it a useful schema validation tool for xarray-based workflows that want to enforce some CF-related expectations, even though it is not a full CF compliance checker.

### `gridded` - A Python API for accessing / working with gridded model results on multiple grid types

[gridded](https://github.com/NOAA-ORR-ERD/gridded) is a python package designed for working with
Expand Down Expand Up @@ -145,4 +151,4 @@ Analysis results based on netCDF data can be shared and viewed across the web as

### Nansen Legacy template generator

This [template generator](https://www.nordatanet.no/aen/template-generator/config%3DCF-NetCDF) can be used to create spreadsheet templates that include column headers from the CF standard names. The templates include separate sheets for recording variable and global attributes, based on the CF and the Attribute Convention for Data Discovery (ACDD).
This [template generator](https://www.nordatanet.no/aen/template-generator/config%3DCF-NetCDF) can be used to create spreadsheet templates that include column headers from the CF standard names. The templates include separate sheets for recording variable and global attributes, based on the CF and the Attribute Convention for Data Discovery (ACDD).
Loading