Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Reactivate link to IOOS online checker #397

Merged
merged 1 commit into from
Aug 24, 2023
Merged
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
6 changes: 3 additions & 3 deletions software.md
Original file line number Diff line number Diff line change
Expand Up @@ -27,8 +27,8 @@ It is possible to check conformance against any CF version.
The [IOOS Compliance Checker](https://github.com/ioos/compliance-checker) is a python based tool for data providers to check for completeness and community standard compliance of local or remote netCDF files against CF, [ACDD](http://wiki.esipfed.org/index.php/Attribute_Convention_for_Data_Discovery_1-3), and [IOOS Metadata Profile](https://ioos.github.io/ioos-metadata) file standards.
The Compliance Checker can be used as a command-line tool or as a library that can be integrated into other software.

<!-- The Compliance Checker also includes a [web-based version](https://data.ioos.us/compliance/index.html) that enables a broader audience and improve accessibility for the checker.
With the web version, providers can simply provide a link or upload their datasets and get the full suite of capabilities that Compliance Checker offers. -->
The Compliance Checker also includes a [web-based version](https://data.ioos.us/compliance/index.html) that enables a broader audience and improve accessibility for the checker.
With the web version, providers can simply provide a link or upload their datasets and get the full suite of capabilities that Compliance Checker offers.

## Free and Open Source Software Packages

Expand Down Expand Up @@ -111,4 +111,4 @@ It uses CF Conventions in several ways, such as encoding / decoding variables an
Esri’s [ArcGIS Pro](https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview) supports the ingest, [management](https://pro.arcgis.com/en/pro-app/latest/tool-reference/multidimension/an-overview-of-the-multidimension-toolbox.htm), data visualization, multidimensional analysis, and authoritative sharing of CF-Conventions compliant netCDF data.
NetCDF data can be processed as tables, points, rasters, and, most recently, [discrete sampling geometries](https://pro.arcgis.com/en/pro-app/latest/tool-reference/multidimension/how-netcdf-discrete-sampling-geometry-dsg-tools-work.htm).
In addition, various ArcGIS Pro tools enable multidimensional management (aggregation, subsetting, anomaly detection), [spatio-temporal analysis](https://pro.arcgis.com/en/pro-app/latest/tool-reference/space-time-pattern-mining/an-overview-of-the-space-time-pattern-mining-toolbox.htm) (trend detection, time-series clustering, changepoint detection, hot spot detection), and visualization as 3D features or [voxels](https://pro.arcgis.com/en/pro-app/latest/help/mapping/layer-properties/what-is-a-voxel-layer-.htm).
Analysis results based on netCDF data can be shared and viewed across the web as interactive maps, 3D features, and voxels.
Analysis results based on netCDF data can be shared and viewed across the web as interactive maps, 3D features, and voxels.
Loading