Esa-climate-toolbox

Operations
* Added function `execute_operations` which allows to run one or more
input datasets on one or more operations, effectively allowing to
set up an operation chain.
* Added operation for gapfilling
* Added operation for performing fourier analysis on time series
* Provided example for reprojection as notebook
* Provided example for filtering as notebook

Data Access
* Provided guideline for accessing OGC Web Services as notebooks
* Provided guideline for accessing CMIP and Obs4MIPs data from ESGF
* Support reading and writing vectordatacubes

Enhancements
* Allow searching for operations with specific tags
* Allow writing xarray dataarrays as png or geotiff images
* Allow writing xarray datarrays as sequence of images
* Allow writing xarray datasets as single geotiff image
* Added reporting module to allow reporting errors (including demo notebook)

* Maintenance release to handle changes from external package

* Added new operation `statistics` to compute statistics for a dataset

* Made Python 3.10 the minimal supported version
* Improved error handling of coregistration op
* Added function to list ecv datasets of titles
* Revised list of operations
* Fixed bug where list_ecv_datasets would return false positives
* Updated installation guide in documentation

* Added dockerfile to run the `ESA CCI Toolbox` in a GitHub Codespace,
allowing users to use the toolbox and in particular Jupyter Notebooks
on GitHub. A dedicated readme file with instructions is in the `.devcontainer`
sub-folder.
* Introduced `user_examples` section in notebooks folder, where example
notebooks from users can be collected.
* Changed toolbox to use external `xcube-cci` package for access to the ODP and
removed redundant modules in the toolbox. This change has no functional effect
on the toolbox, as together with the `xcube-cci` package it can be used as
before.