Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

55

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

55 results for “ancestral reconstruction”

Learn how ShareScore rates datasets ↗
zenodo28/100

Supplementary material 5 from: Hundsdoerfer AK, Kitching IJ (2020) Morphological evolution in Hyles Hübner, 1819 hawkmoths (Lepidoptera, Sphingidae): reconstructing the ancestral Hyles habitus. Nota Lepidopterologica 43: 181-210. https://doi.org/10.3897/nl.43.49512

Figure S2

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 1 from: Hundsdoerfer AK, Kitching IJ (2020) Morphological evolution in Hyles Hübner, 1819 hawkmoths (Lepidoptera, Sphingidae): reconstructing the ancestral Hyles habitus. Nota Lepidopterologica 43: 181-210. https://doi.org/10.3897/nl.43.49512

Table S1

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 3 from: Hundsdoerfer AK, Kitching IJ (2020) Morphological evolution in Hyles Hübner, 1819 hawkmoths (Lepidoptera, Sphingidae): reconstructing the ancestral Hyles habitus. Nota Lepidopterologica 43: 181-210. https://doi.org/10.3897/nl.43.49512

Table S3

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 2 from: Hundsdoerfer AK, Kitching IJ (2020) Morphological evolution in Hyles Hübner, 1819 hawkmoths (Lepidoptera, Sphingidae): reconstructing the ancestral Hyles habitus. Nota Lepidopterologica 43: 181-210. https://doi.org/10.3897/nl.43.49512

Table S2

opencc-zeroAug 2020View details →
zenodo28/100

Supplementary material 4 from: Hundsdoerfer AK, Kitching IJ (2020) Morphological evolution in Hyles Hübner, 1819 hawkmoths (Lepidoptera, Sphingidae): reconstructing the ancestral Hyles habitus. Nota Lepidopterologica 43: 181-210. https://doi.org/10.3897/nl.43.49512

Figure S1

opencc-zeroAug 2020View details →
dryad28/100

Data from: Elucidating the functional evolution of heat sensors among Xenopus species adapted to different thermal niches by ancestral sequence reconstruction

Ambient temperature fluctuations are detected via the thermosensory system which allows animals to seek preferable thermal conditions or escape from harmful temperatures. Evolutionary changes in thermal perception have thus potentially played crucial roles in niche selection. The genus Xenopus (clawed frog) is suitable for investigating the relationship between thermal perception and niche selection due to their diverse latitudinal and altitudinal distributions. Here we performed comparative analyses of the neuronal heat sensors TRPV1 and TRPA1 among closely related Xenopus species (X. borealis, X. muelleri, X. laevis, and X. tropicalis) to elucidate their functional evolution and to assess whether their functional differences correlate with thermal niche selection among the species. Comparison of TRPV1 among four extant Xenopus species and reconstruction of the ancestral TRPV1 revealed that TRPV1 responses to repeated heat stimulation were specifically altered in the lineage leading to X. tropicalis which inhabits warmer niches. Moreover, the thermal sensitivity of TRPA1 was lower in X. tropicalis than the other species, although the thermal sensitivity of TRPV1 and TRPA1 was not always lower in species that inhabit warmer niches than the species inhabit cooler niches. However, a clear correlation was found in species differences in TRPA1 activity. Heat-evoked activity of TRPA1 in X. borealis and X. laevis, which are adapted to cooler niches, was significantly higher than in X. tropicalis and X. muelleri which are adapted to warmer niches. These findings suggest that the functional properties of heat sensors changed during Xenopus evolution, potentially altering the preferred temperature ranges among species.

opencc-zeroJun 2019View details →
zenodo28/100

Fig. 2 in Reconstruction of the ancestral metazoan genome reveals an increase in genomic novelty

Fig. 2 Novelty in ancestral genomes. a Proportion of Novel HG in the Ancestral HG for different holozoan ancestors. b Percentage of Core HG that are novel, and percentage of highly preserved genes among the Novel HG across different LCA. c Number of Protein Class GO hits for the fruit fly representatives of the Novel HG for the various phylogenetic nodes

opennotspecifiedApr 2018View details →
zenodo28/100

Table 4. Molecular dating and ancestral area reconstruction results for Liphistius using S in Molecular phylogeny, biogeography, and species delimitation of segmented spider genus Liphistius (Araneae: Liphistiidae) in Thailand

<p><b>Table 4.</b> Molecular dating and ancestral area reconstruction results for <i>Liphistius</i> using S-DIVALIKE+J. The letters A&ndash;I correspond to geographical locations shown in Figure 4. The notation shows the biogeographic event in the phylogenetic tree (Fig. 4A) includes &rarr;: from the parent node to descendent nodes; ^: Sympatric speciation; |: Vicariance.</p><table><tbody><tr><th><b>Diversification events</b></th><th><b>Dates</b></th><th><b>DIVALIKE+J</b></th><th></th><th></th></tr><tr><th></th><th><b>(Mya)</b></th><th><b>Ancestral areas</b></th><th><b>Process</b></th><th><b>Route and probability</b></th></tr></tbody><tbody><tr><th>The most recent common ancestor of Liphistiidae</th><td>100</td><td>BCI 13.60</td><td>Dispersal:0</td><td>BCI&rarr;I|BC</td></tr><tr><th>(Fig. 4, number 1)</th><td></td><td>CEI 13.33</td><td>Vicariance:1</td><td>prob:.02</td></tr><tr><th></th><td></td><td>BEI 10.96</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Heptathelinae</th><td>58.43</td><td>I 100</td><td>Dispersal:0</td><td>I&rarr;I^I&rarr;I| I</td></tr><tr><th></th><td></td><td></td><td>Vicariance:0</td><td>prob: 1.00</td></tr><tr><th></th><td></td><td></td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of <i>Liphistius</i></th><td>53.61</td><td>BC 14.34</td><td>Dispersal:0</td><td>BC&rarr;C|B</td></tr><tr><th>(Fig. 4, number 2)</th><td></td><td>CE 14.05</td><td>Vicariance:1</td><td>prob:.03</td></tr><tr><th></th><td></td><td>C 12.37</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of <i>L. indra</i> + <i>L.</i></th><td>45.51</td><td>C 45.23</td><td>Dispersal:1</td><td>C&rarr;CE&rarr;C|E</td></tr><tr><th><i>lahu</i> (Fig. 4, number 3)</th><td></td><td>E 38.20</td><td>Vicariance:1</td><td>prob:.45</td></tr><tr><th></th><td></td><td>CE 16.50</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of <i>trang</i> species</th><td>49.61</td><td>B 39.38</td><td>Dispersal:1</td><td>B&rarr;DB&rarr;D|B</td></tr><tr><th>group + <i>bristowei</i> species group (Fig. 3, number 4)</th><td></td><td>D 30.43</td><td>Vicariance:1</td><td>prob:.30</td></tr><tr><th></th><td></td><td>BD 14.72</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of <i>bristowei</i> spe-</th><td>32.86</td><td>D 75.76</td><td>Dispersal:0</td><td>D&rarr;D^D&rarr;D|D</td></tr><tr><th>cies group (Fig. 4, number 5)</th><td></td><td>C 21.28</td><td>Vicariance:0</td><td>prob:.55</td></tr><tr><th></th><td></td><td>A 2.02</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of <i>trang</i> species</th><td>46.54</td><td>B 99.88</td><td>Dispersal:0</td><td>B&rarr;B^B&rarr;B| B</td></tr><tr><th>group (Fig. 4, number 6)</th><td></td><td>A 0.08</td><td>Vicariance:0</td><td>prob: 1.00</td></tr><tr><th></th><td></td><td>H 0.01</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Sibumasu I</th><td>41.39</td><td>B 100</td><td>Dispersal:0</td><td>B&rarr;B^B&rarr;B|B</td></tr><tr><th>clade (Fig. 4, number 7)</th><td></td><td></td><td>Vicariance:0</td><td>prob: 1.00</td></tr><tr><th></th><td></td><td></td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Sinbumasu II&ndash;</th><td>42.48</td><td>B 99.76</td><td>Dispersal:0</td><td>B&rarr;B^B&rarr;B|B</td></tr><tr><th>IV and Indochina clades (Fig. 4, number 8)</th><td></td><td>A 0.18</td><td>Vicariance:0</td><td>prob:.96</td></tr><tr><th></th><td></td><td>G 0.03</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Shibumasu II</th><td>30.56</td><td>B 99.91</td><td>Dispersal:0</td><td>B&rarr;B^B&rarr;B|B</td></tr><tr><th>(Fig. 4, number 9)</th><td></td><td>A 0.09</td><td>Vicariance:0</td><td>prob:.97</td></tr><tr><th></th><td></td><td></td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Shibumasu</th><td>38.89</td><td>B 96.03</td><td>Dispersal:1</td><td>B&rarr;AB&rarr;A|B</td></tr><tr><th>III&ndash;IV and Indochina clade (Fig. 4, number 10)</th><td></td><td>A 2.65</td><td>Vicariance:1</td><td>prob:.48</td></tr><tr><th></th><td></td><td>G 0.67</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Shibumasu III</th><td>31.69</td><td>A 51.95</td><td>Dispersal:0</td><td>A&rarr;A^A&rarr;A| A</td></tr><tr><th>(Fig. 4, number 11)</th><td></td><td>B 48.05</td><td>Vicariance:0</td><td>prob:.26</td></tr><tr><th></th><td></td><td></td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Shibumasu</th><td>34.81</td><td>B 96.15</td><td>Dispersal:1</td><td>B&rarr;BG&rarr;B| G</td></tr><tr><th>IV + Indochina clade (Fig. 4, number 12)</th><td></td><td>G 1.94</td><td>Vicariance:1</td><td>prob:.48</td></tr><tr><th></th><td></td><td>H 1.90</td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Shibumasu IV</th><td>17.02</td><td>B 100</td><td>Dispersal:0</td><td>B&rarr;B^B&rarr;B|B</td></tr><tr><th>(Fig. 4, number 13)</th><td></td><td></td><td>Vicariance:0</td><td>prob: 1.00</td></tr><tr><th></th><td></td><td></td><td>Extinction:0</td><td></td></tr><tr><th>The most recent common ancestor of Indochina</th><td>31.15</td><td>G 50.43</td><td>Dispersal:1</td><td>G&rarr;GH&rarr;G|H</td></tr><tr><th>clade (Fig. 4, number 14)</th><td></td><td>H 49.38</td><td>Vicariance:1</td><td>prob:.50</td></tr><tr><th></th><td></td><td>D 0.20</td><td>Extinction:0</td><td></td></tr></tbody></table>

opennotspecifiedNov 2023View details →
dryad28/100

Data from: Ancestral state reconstruction, rate heterogeneity, and the evolution of reptile viviparity

Virtually all models for reconstructing ancestral states for discrete characters make the crucial assumption that the trait of interest evolves at a uniform rate across the entire tree. Although methods for identifying evolutionary rate shifts in continuous characters have attracted recent attention (e.g. Eastman et al., 2011, Stack et al., 2011), such methods for discrete characters have only very recently been developed (Beaulieu et al., 2013, Beaulieu and O'Meara 2014) and have yet to be widely used. However, ancestral state reconstructions of discrete characters are being performed on increasingly large phylogenies, where it is likely that evolutionary rates will vary greatly between different clades (Beaulieu and O'Meara 2014). Here, we show how failure to account for such variable evolutionary rates can cause highly anomalous (and likely incorrect) results, while three methods that accommodate rate variability yield the opposite, more plausible, and more robust reconstructions. The random local clock method, implemented in BEAST, estimates the position and magnitude of rate changes on the tree, split BiSSE estimates separate rate parameters for pre-specified clades, and the hidden rates model partitions each character state into a number of rate categories. The importance of accounting for rate heterogeneity in ancestral state reconstruction is highlighted empirically with a new analysis of the evolution of viviparity in squamate reptiles. Additionally, simulations show the inadequacy of traditional models when characters evolve with both asymmetry (different rates of change between states within a character) and heterotachy (different rates of character evolution across different clades).

opencc-zeroDec 2014View details →
dryad28/100

Data from: ProtASR: an evolutionary framework for ancestral protein reconstruction with selection on folding stability

Open the record for dataset details and reuse information.

publicJan 2017View details →
dryad28/100

Data from: Ancestral state reconstruction, rate heterogeneity, and the evolution of reptile viviparity

Open the record for dataset details and reuse information.

publicJan 2015View details →
dryad28/100

Data from: Elucidating the functional evolution of heat sensors among Xenopus species adapted to different thermal niches by ancestral sequence reconstruction

Open the record for dataset details and reuse information.

publicJun 2019View details →
zenodo20/100

Fig. 2. PARAMO pipeline.The panels A–E in PARAMO: A Pipeline for Reconstructing Ancestral Anatomies Using Ontologies and Stochastic Mapping

Fig. 2. PARAMO pipeline.The panels A–E represent the five steps of the pipeline (see the text). (E) The size of the stochastic maps S4–S9 is reduced for the illustrative purpose. (F) Three levels of anatomical hierarchy. Abbreviations: C: character, S: stochastic map, ind.: independent character, dep. and syn.: hierarchically and synchronously dependent characters, respectively.

opennotspecifiedNov 2019View details →
zenodo20/100

Fig. 1 a Dated phylogeny and ancestral area reconstruction for 147 in Against all odds: reconstructing the evolutionary history of Scrophularia (Scrophulariaceae) despite high levels of incongruence and reticulate evolution

Fig. 1 a Dated phylogeny and ancestral area reconstruction for 147 Scrophularia species, on a majority-rule consensus tree obtained from Bayesian analysis of combined plastid trnQ-rps16 intergenic spacer and trnL-trnF region alongside coded indels. Branches indicate levels of support, based on posterior probabilities (PP) and plotted bootstrap support values (BS) from Maximum Likelihood optimization; bold PP ≥ 95 or BS ≥ 85, semi-bold PP ≥ 90 or BS ≥ 75, thin PP &lt;90/BS &lt;75. Seven additional nodes only supported by ML (BS ≥ 50) were added manually but not incorporated into further analyses. Gray bars on the right denote Clades 1–18 and main species groups as discussed in the text. An arrow indicates the position of the Himalayan-Tibetan endemic genus Oreosolen. Single accessions displaying hard incongruence among (2ISP-coded) nuclear and plastid trees are marked in bold; Clades 7 and 5 (excluding S. chlorantha; plus S. cryptophila) as a whole are also hardly incongruent. The occurrence of large indels as defined in Table 2 is indicated next to each accession with the respective length type number;

opennotspecifiedJan 2017View details →
zenodo20/100

Figure 1 in The tight genome size of ants: diversity and evolution under ancestral state reconstruction and base composition

Figure 1. Fluorescence intensity histograms obtained from three different species, with Drosophila melanogaster as internal standard, stained with propidium iodide (PI; A–C) or 4,6-diamidino-2-phenylindole (DAPI; D–F). The x-axis corresponds to the scale of fluorescence intensity, and the y-axis represents the number of nuclei with that fluorescence intensity.

opennotspecifiedAug 2021View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

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