Tom Vo

### Describe your documentation update Zenodo automatically lists all contributors as authors. We should limit the list to just the core developers. Source: https://help.zenodo.org/docs/github/describe-software/zenodo-json/

Bump to v0.9.0

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## Description ## Checklist - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my own code - [...

Add temporal bounds and center times for `group_average()` API

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## Description - Closes #565 ## Checklist - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my own...

### Is your feature request related to a problem? We found that descending bounds ("out of order" bounds) can throw off results with xESMF's horizontal regridding. CDAT seemed to rectify...

[Enhancement]: Consider distribution on PyPI (`pip`)

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### Is your feature request related to a problem? As suggested by @lee1043, distributing `xcdat` on PyPI can benefit us by adding another way of accessing the package. We'll need...

### Is your feature request related to a problem? We should do performance benchmarks with xCDAT across different workflows and data types/sizes. ## Examples include (WIP): - [ ] High...

[Bug]: Fixed order and number of dimensions assumed by spatial averager API

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### What happened? Related to - https://github.com/xCDAT/xcdat/issues/748 - https://github.com/xCDAT/xcdat/pull/749#issuecomment-2773670391 The spatial averaging API assumes a fixed order and number of dimensions while handling bounds. For example, for `lat_bnds`, it assumes...

[Exploration]: Including dataarrays with our current dataset API model (#671 discussion)

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### Is your feature request related to a problem? Refer to https://github.com/xCDAT/xcdat/discussions/671 This GitHub issue was just opened for tracking on the board project. ### Describe the solution you'd like...

## Description - Closes #714 - This branch is based on #423 ## Checklist - [ ] My code follows the style guidelines of this project - [ ] I...

### Is your feature request related to a problem? The current `custom_seasons` back-end uses Pandas DataFrames to store Datetime components, which then get manipulated downstream (e.g., shifting months for spanning...