Recorded software environments and dependency inventories for the PET-KLS analyses, including the spatiotemporal brain-map pipeline.
| Environment | Python | Specification | Package inventory |
|---|---|---|---|
pet_kls |
3.13.2 | YAML · Linux Conda package snapshot | JSON |
brainmaps |
3.10.18 | YAML | JSON |
pet_kls records the scientific stack, including graph analysis, statistical modelling and neuroimaging tools. The supplied brainmaps capture contains only the base Python runtime and system libraries; it does not provide a complete scientific brain-mapping environment. A separate brainviz environment is mentioned in earlier records but its files are not included in this package.
These captures originate from Linux x86-64. The YAML files retain recorded versions and Linux-specific dependencies, so they are not guaranteed to solve on other platforms. Personal installation prefixes have been removed.
conda env create --file pet_kls_environment.yml
conda activate pet_klsFor the captured base brainmaps environment:
conda env create --file brainmaps_environment.ymlThe explicit snapshot restores Conda packages only on compatible Linux systems:
conda create --name pet_kls_conda_snapshot --file pet_kls_explicit.txtIt excludes pip-installed scientific packages. Use the YAML for the combined Conda/pip specification. The explicit snapshot pins package URLs and builds but is not a full runtime or data lock.
- Environment notes: scope, checks and reconstruction limits.
- Colab dependency/configuration manifest: indexed imports, installation commands and configuration expressions from the source notebook; this is a static inventory, not an executable configuration or package lock.
- SHA256SUMS: checksums for the packaged files.
The Colab record reports Python 3.12.13, separately from the Conda environments. Notebook installation commands can change its runtime; do not assume it is equivalent to either Conda capture.
Please cite this environment archive using CITATION.cff, alongside the PET-KLS analysis software, associated study and relevant methods. Repository-authored documentation and configuration are available under the MIT License. Listed third-party software and datasets retain their own licences.