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27 results for “parsimony analysis”

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zenodo32/100

Figures 3–4. Optimal trees obtained under parsimony analyses. Fig. 3 in Phylogenetic analysis of Micrathena and Chaetacis spiders (Araneae: Araneidae) reveals multiple origins of extreme sexual size dimorphism and long abdominal spines

Figures 3–4. Optimal trees obtained under parsimony analyses. Fig. 3. Unweighted analysis [length = 575.3; consistency index (CI) = 0.305; retention index (RI) = 0.693]. Fig. 4. Implied weighted analysis (k = 5; length = 579.718; fit = 105; CI = 0.303; RI = 0.689). Bremer supports and symmetric resampling values are indicated below and above branches, respectively. Symmetric resampling values are given in frequency differences (GC; Goloboff et al., 2003).

opennotspecifiedJul 2012View details →
zenodo32/100

FIGURE. 2. Most parsimonious tree obtained from the analysis using implied weights, K in A phylogenetic study of the relationships within Mirinae subfamily (Insecta: Heteroptera: Miridae) based on specimens from Northern Iran: Insight into analyses of genera complexes

FIGURE. 2. Most parsimonious tree obtained from the analysis using implied weights, K= 8. Node numbers correspond to nodes in the results section. Filled circles represent non-homoplasious characters, and open circles represent homoplasious characters.

opennotspecifiedOct 2022View details →
zenodo32/100

FIGURE 4. Seven topologically parsimonious constrained trees retrieved from cladistic analysis using a in On the first Baryonychinae (Theropoda, Spinosauridae) teeth from South America

FIGURE 4. Seven topologically parsimonious constrained trees retrieved from cladistic analysis using a dentition-based data matrix (tree length = 1318; CI = 0.198; RI = 0.466), Bremer support is displayed below each node; LPUFS specimens (bold) are recovered within the Spinosauridae clade. Theropod silhouette from phylopic.org, see acknowledgements.

opennotspecifiedApr 2023View details →
zenodo28/100

Code, data and results for manuscript "A parsimonious empirical approach to streamflow recession analysis and forecasting"

<p>This repository hosts the supplementary materials associated with the paper:<br> &gt; Delforge, D., Mu&ntilde;oz-Carpena, R., Van Camp, M. Vanclooster, M. (2020), A parsimonious empirical approach to streamflow recession analysis and forecasting (accepted at Water Resources Research - 29-01-2020).</p> <p>This data set contains streamflow and recession data, a python code file and a Jupyter notebook illustrating how to apply the EDM-Simplex method to forecast the recession, and the outputs of the global sensitivity analysis. All files are documented&nbsp;in the readme.md Markdown files.&nbsp;</p> <p>Streamflow data were obtained&nbsp;from the Aqualim portal (<a href="http://aqualim.environnement.wallonie.be/">http://aqualim.environnement.wallonie.be/</a>) of the &quot;Service Public de Wallonie&quot; and shared with their kind permission.&nbsp;This work is part of a Ph.D. supported by a FRIA grant from the Fund for Scientific Research (FSR-FNRS, Belgium).&nbsp;The authors acknowledge University of Florida Research Computing for providing computational resources and support that have contributed to the research results stored in this repository. URL: <a href="http://researchcomputing.ufl.edu">http://researchcomputing.ufl.edu</a>.</p>

opencc-by-4.0Jan 2020View details →
dryad28/100

Data from: Parsimony, not Bayesian analysis, recovers more stratigraphically congruent phylogenetic trees

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publicMay 2018View details →
dryad28/100

Data from: Probabilistic methods outperform parsimony in the phylogenetic analysis of data simulated without a probabilistic model

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publicJun 2019View details →
zenodo20/100

Fig. Sa/b: (a) Strict consensus of 2 most parsimonious trees generated by exact analysis of sequence data. Numbers on branches represent bootstrap node confidence values from 100 replications. (b) Jac support tree. Numbers on branches represent confidence frequencies in nodes as quantified by parsimony jacknifing with Jac (Farris 1995). in Morphological and mitochondrial-DNA variation in Rhinolophus rouxii (Chiroptera)

Fig. Sa/b: (a) Strict consensus of 2 most parsimonious trees generated by exact analysis of sequence data. Numbers on branches represent bootstrap node confidence values from 100 replications. (b) Jac support tree. Numbers on branches represent confidence frequencies in nodes as quantified by parsimony jacknifing with Jac (Farris 1995).

opennotspecifiedDec 2000View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record