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ShareScore release 0.9.0
Dataset results
5 results for “computational phylogenies”
Phlorest phylogeny derived from Bowern & Atkinson 2012 'Computational phylogenetics and the internal structure of Pama-Nyungan'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Bowern C & Atkinson QD. 2012. Computational phylogenetics and the internal structure of Pama-Nyungan. Language, 88(4), 817-845.</p> </blockquote>
Phlorest phylogeny derived from Chacon & List 2015 'Improved computational models of sound change shed light on the history of the Tukanoan languages'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Chacon TC, List J-M (2015) Improved computational models of sound change shed light on the history of the Tukanoan languages. Journal of Language Relationship, 3:177–203.</p> </blockquote>
Phlorest phylogeny derived from Robinson and Holton 2012 'Internal Classification of the Alor-Pantar Language Family Using Computational Methods Applied to the Lexicon'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Robinson, L. C., & Holton, G. (2012). Internal Classification of the Alor-Pantar Language Family Using Computational Methods Applied to the Lexicon. Language Dynamics and Change, 2(2), 123-149. doi:10.1163/22105832-20120201</p> </blockquote>
On the computational reproducibility of molecular phylogenies
<p>Reports on the lack of computational reproducibility of molecular phylogenies, produced in multiple runs of the same program or by different programs, cast a long shadow on downstream research using these phylogenies and on efforts to build the tree of life. We show that this irreproducibility does not decrease the accuracy of the reconstructed evolutionary relationships. Also, we find inferred molecular phylogenies to have log-likelihoods comparable to or better than the true phylogeny. Therefore, the lack of computational reproducibility of molecular phylogenies is not a problem for evolutionary studies.</p>
On the computational reproducibility of molecular phylogenies
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.