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5		-= Early prototype software interface of the TVB simulator and EBRAINS atlas services =
	5	+= Prototype software interface of the TVB simulator and EBRAINS atlas services =
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7	7	SGA3 D1.1 - Showcase 1: "Degeneracy in neuroscience - when is Big Data big enough"
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26		-The demo showcases how data services and computing can interact in a well-structured and meaningful way in the collaboratory. It is the first use case for purely programmatic access to EBRAINS atlases using a new Python client, //brainscapes//. While not all datasets and functionalities are yet accessible through the client, it makes data formats, region specifications and access patterns explicit, thereby fertilizing co-design and boosting the collaboration between WP1 and WP4.
	26	+The demo showcases how data services and computing can interact in a well-structured and meaningful way in the collaboratory. It is the first use case for purely programmatic access to EBRAINS atlases using a new Python client, //brainscapes//.
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28	28	== Prototype Python client for accessing the human atlas ==
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30		-The atlas client gives direct programmatic access to typical patterns of interaction with EBRAINS human brain atlas. It supports the multilevel character of this atlas, which defines cytoarchitectonic maps in multiple reference template spaces at different spatial resolutions (namely the MNI Colin, ICBM152 asymmetric as well as the BigBrain microscopic space), and links them with complementary maps related to brain function, connectivity and fibre architecture. The functionality of the Python client matches common patterns known from browsing the interactive atlas viewer: Selecting a parcellation, browsing and searching brain region hierarchies, downloading maps, selecting regions, and requesting manifold information and features associated with brain regions.
	30	+The atlas client gives direct programmatic access to typical patterns of interaction with EBRAINS human brain atlas. It supports the multilevel character of this atlas, which defines cytoarchitectonic maps in multiple reference template spaces at different spatial resolutions (namely the MNI Colin, ICBM152 asymmetric as well as the BigBrain microscopic space), and links them with complementary maps related to brain function, connectivity and fibre architecture. The functionality of the Python client matches common patterns known from browsing the interactive atlas viewer: Selecting a parcellation, browsing and searching brain region hierarchies, downloading maps, selecting regions, and requesting manifold information and features associated with brain regions. While not all datasets and functionalities are yet accessible through the client, it makes data formats, region specifications and access patterns explicit, thereby fertilizing co-design and boosting the collaboration between EBRAINS data services and brain simulation.
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32	32	A key feature of the atlas client is a streamlined implementation of performing data queries for selected brain regions, which gives access to multimodal regional “data features”, which are mostly curated datasets from the EBRAINS Knowledge Graph (KG). The client implements a hierarchy of features, which currently models three different forms of atlas integration:
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