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        <identifier>oai:figshare.com:article/33868966</identifier>
        <datestamp>2026-09-22T15:39:17Z</datestamp>
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          <dc:title>Processed SLEAP-derived feature data and embeddings</dc:title>
          <dc:creator>Jorge Iravedra (24592302)</dc:creator>
          <dc:subject>Behavioural neuroscience</dc:subject>
          <dc:subject>SLEAP</dc:subject>
          <dc:subject>UMAP</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;processed_features is a .pickle file that contains SLEAP-derived features for every session. Each key contains the following nomenclature: animalID_day_condition_sessionIndex, where animalID = animal identifier, day = d1-d9 (9 days total), condition = training or hard fight context (EXP: balbc, mCD1; OBS: obs, OBSmCD1, NON: toy, toyCD1), sessionIndex = t1-t3 (3 sessions total). &lt;/p&gt;&lt;p dir="ltr"&gt;umap_embeddings_unified contains the XY embedding of each session in UMAP space as derived from the processed features (nomenclature for keys is as above)&lt;/p&gt;&lt;p dir="ltr"&gt;umap_embeddings_Gq contains the same as above but for animals used in Gq experiments (GqC animals are Vgat- control animals, animals identified with a number ID are OBS-Gq Vgat+/- animals)&lt;/p&gt;</dc:description>
          <dc:date>2026-09-22T15:39:17Z</dc:date>
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          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.33868966.v1</dc:identifier>
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