ACCESS-NRI · headmetal · Mar 17, 2026 · Mar 16, 2026 · Mar 16, 2026 · Mar 16, 2026
diff --git a/docs/source/contributing.rst b/docs/source/contributing.rst
@@ -1,12 +1,9 @@
 Contributing
 ============
 
-.. warning::
-   This is an experimental release. Documentation remains a work in progress. Some sections may be incomplete or under development.
-
 We welcome contributions from the community! There are several ways you can contribute to both the Cryosphere Community Datapool (CCD) and **ccdtools** projects:
 
-1. **Reporting Issues**: If you encounter any bugs or have suggestions for improvements, please open an issue on our `GitHub repository <https://github.com/ACCESS-NRI/ccdtools/issues>`_.
+1. **Reporting Issues**: If you encounter any bugs or have suggestions for improvements, please open an `issue on our GitHub repository <https://github.com/ACCESS-NRI/ccdtools/issues>`_.
 
 2. **Submitting Pull Requests**: If you would like to contribute code, please fork the repository, make your changes, and submit a pull request. Be sure to follow our coding standards and include tests for any new features or bug fixes.
 

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -14,7 +14,7 @@ The `CCD` has been designed as an open-access and freely available cryospheric d
 variety of datasets commonly used to parameterise ice sheet models. The `CCD` is hosted on the National Computational Infrastructure (NCI) Gadi supercomputer 
 within project `av17`.
 
-This documentation describes the associated Python interface **ccdtools** developed by `ACCESS-NRI <https://www.access-nri.org.au/>`_ that provides seamless 
+This documentation describes the `CCD` Python interface **ccdtools** developed by `ACCESS-NRI <https://www.access-nri.org.au/>`_ that provides seamless 
 access to the data located within the `CCD`. The **ccdtools** library offers an intuitive interface for discovering, accessing, and analysing diverse data sources 
 including satellite observations, in-situ measurements, and model outputs. The library features a powerful dataset catalog system, enabling users to efficiently 
 retrieve and work with data commonly used for ice sheet modelling, climate analysis, and cryospheric studies. 
@@ -24,7 +24,7 @@ As an open-source projects, both `CCD` and **ccdtools** encourage contributions
 Please see the `ACCESS-Hive Docs CCD page <https://docs.access-hive.org.au/model_evaluation/data/cryosphere_datapool/>`_ for a full list and description of all available datasets.
 
 .. warning::
-   ccdtools is under active development and remains a work in progress. Please let us know if anything is missing or if you have any suggestions for improvements by creating an issue on our `GitHub repository <https://github.com/ACCESS-NRI/ccdtools/issues>`_.
+   `ccdtools` is under active development and remains a work in progress. Please let us know if anything is missing or if you have any suggestions for improvements by creating an `issue on our GitHub repository <https://github.com/ACCESS-NRI/ccdtools/issues>`_.
 
 Quick Links
 -----------

diff --git a/docs/source/installation.rst b/docs/source/installation.rst
@@ -1,9 +1,6 @@
 Installation
 ============
 
-.. warning::
-   This is an experimental release. Documentation remains a work in progress. Some sections may be incomplete or under development.
-
 **ccdtools** can be installed using PyPI or conda, or by cloning the repository directly from GitHub. Below are instructions for each method.
 
 Installing via PyPI

diff --git a/docs/source/overview.rst b/docs/source/overview.rst
@@ -1,17 +1,13 @@
 Overview: Features and Capabilities
 ========
 
-.. warning::
-   This is an experimental release. Documentation remains a work in progress. Some sections may be incomplete or under development.
-
-
 The Cryosphere Community Datapool (CCD) and it's Python interface **ccdtools** are a powerful dataset management and sharing system with the following core capabilities:
 
 Key Features
 -----------
 
 1. **Unified Dataset Catalog:**
-`CCD` provides a centralized catalog of cryosphere-focused datasets maintained in a flexible YAML configuration. The catalog currently includes elevation and geometry datasets (e.g., BedMachine Antarctica, Bedmap), geospatial boundaries, basal forcing models, and ice velocity measurements from various sources including MEaSUREs, ITS_LIVE, and InSAR observations. Please see the `ACCESS-Hive Docs CCD page <https://docs.access-hive.org.au/model_evaluation/data/cryosphere_datapool/>`_ for a full list and description of all available datasets.
+`CCD` provides a centralised catalog of cryosphere-focused datasets maintained in a flexible YAML configuration. The catalog currently includes elevation and geometry datasets (e.g., BedMachine Antarctica, Bedmap), geospatial boundaries, basal forcing models, and ice velocity measurements from various sources including MEaSUREs, ITS_LIVE, and InSAR observations. Please see the `ACCESS-Hive Docs CCD page <https://docs.access-hive.org.au/model_evaluation/data/cryosphere_datapool/>`_ for a full list and description of all available datasets.
 
 2. **Dataset Discovery and Search:**
 Users can easily explore available datasets through an interactive catalog interface **ccdtools**. The search functionality allows users to find datasets by keywords across multiple metadata fields including dataset names, display names, and descriptive tags (e.g., "antarctica", "ice velocity", "ice thickness").

diff --git a/src/ccdtools/catalog.py b/src/ccdtools/catalog.py
@@ -70,7 +70,7 @@ def __init__(self, yaml_path = None):
         # If yaml_path is not specified, use to default ../config/datasets.yaml
         if yaml_path is None:
             with resources.as_file(
-                resources.files(__package__).joinpath("config/datasets.yaml")
+                resources.files("ccdtools").joinpath("config/datasets.yaml")
             ) as p:
                 self.config_file = Path(p)
         else: