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The idea is to check the examples in the documentation are actual & do a small clean up (work in progress)

to perform this kind of analyses.
This manual presents an overview of how to use the Chemiscope viewer in its standard
implementations, including the web tool and the Jupyter widget. It does not discuss in
detail how to build a low-dimensional representation of a chemical dataset - Chemiscope
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detail how to build a low-dimensional representation of a chemical dataset - Chemiscope
detail how to build a low-dimensional representation of a chemical dataset - chemiscope

inside a jupyter notebook.
This section starts introducing the concept of structural and physical properties,
before describing how to use the different panels in the standard visualization. It
continues by presenting how you can generate a Chemiscope input file to load on
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continues by presenting how you can generate a Chemiscope input file to load on
continues by presenting how you can generate a chemiscope input file to load on

continues by presenting how you can generate a Chemiscope input file to load on
https://chemiscope.org, as well as within a standalone HTML viewer that works offline.
See the :ref:`Python module documentation <python-module>` for how to interact with
Chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook.
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Chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook.
chemiscope in a script, or to explore a dataset directly inside a Jupyter notebook.

resulting JSON file can be quite large and thus harder to share with
collaborators, the default chemiscope interface also allows to load JSON files
compressed with gzip.
The default Chemiscope interface loads all structures and properties of a dataset from a
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The default Chemiscope interface loads all structures and properties of a dataset from a
The default chemiscope interface loads all structures and properties of a dataset from a

The default Chemiscope interface loads all structures and properties of a dataset from a
single JSON file. This section describe how to create such a file using provided Python
tools or by manually writing the JSON. As JSON files can become large and hard to share
with collaborators Chemiscope also supports loading JSON files compressed with gzip.
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with collaborators Chemiscope also supports loading JSON files compressed with gzip.
with collaborators chemiscope also supports loading JSON files compressed with gzip.

structural representations or reduced-dimensionality features, using its command-line
interface. To generate these quantities, external packages like `scikit-matter`_ or
`ASAP`_ can be used. The ASAP package, for instance, can produce directly output in
Chemiscope-compatible format.
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Chemiscope-compatible format.
chemiscope-compatible format.

`ASAP`_ can be used. The ASAP package, for instance, can produce directly output in
Chemiscope-compatible format.

Alternatively, Chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>`
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Alternatively, Chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>`
Alternatively, chemiscope's :ref:` :py:func:chemiscope.explore <_explore-example>`


Quick overview
~~~~~~~~~~~~~~
The Chemiscope JSON file consists of these top-level entries:
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The Chemiscope JSON file consists of these top-level entries:
The chemiscope JSON file consists of these top-level entries:

@@ -11,22 +11,22 @@ Online visualizer at chemiscope.org
Uploading datasets
^^^^^^^^^^^^^^^^^^

The simplest way to share chemiscope dataset is to send the corresponding file
The simplest way to share the chemiscope dataset is to send the corresponding file
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The simplest way to share the chemiscope dataset is to send the corresponding file
The simplest way to share a chemiscope dataset is to send the corresponding file


Below is the detailed description of the values types and examlpes for each entry.

Metadata (``meta``)
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I still need to go through this section with a local build of the docs!

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