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zenodo32/100

FIGURE 3 in Reinstatement of the independent specific status of Oldenlandia violacea (Rubiaceae) from the synonymy of O. monanthos

FIGURE 3. Maximum likelihood (ML) tree of Oldenlandia s.str. and the outgroup species, inferred from concatenated data set of two plastid DNA (petD, rps16) and two nuclear DNA (ITS, ETS). Bootstrap values (BS) ≥ 50% in ML analysis and posterior probabilities (PP) ≥ 0.50 in Bayesian inference (BI) are shown at nodes.

opennotspecifiedJun 2021View details →
dryad32/100

Modeling pulsed evolution and time-independent variation improves the confidence level of ancestral and hidden state predictions

<p><span><span><span><span><span><span><span><span><span><span>Ancestral state reconstruction is not only a fundamental tool for studying trait evolution, but also very useful for predicting the unknown trait values (hidden states) of extant species. A well-known problem in ancestral and hidden state predictions is that the uncertainty associated with predictions can be so large that predictions themselves are of little use. Therefore, for meaningful interpretation of predicted traits and hypothesis testing, it is prudent to accurately assess the uncertainty of the predictions. Commonly used constant-rate Brownian motion (BM) model fails to capture the complexity of tempo and mode of trait evolution in nature, making predictions under the BM model vulnerable to lack-of-fit errors from model misspecification. Using empirical data (mammalian body size and bacterial genome size), we show that the distribution of residual Z-scores under the BM model is neither homoscedastic nor normal as expected. Consequently, the 95% confidence intervals (CIs) of predicted traits are so unreliable that the actual coverage probability ranges from 33% (strongly permissive) to 100% (strongly conservative). Alternative methods such as BayesTraits and StableTraits that allow variable rates in evolution improve the predictions but are computationally expensive. Here we develop RasperGade, a method of ancestral and hidden state prediction that uses the Levy process to explicitly model gradual evolution, pulsed evolution and time-independent variation. Using the same empirical data, we show that RasperGade outperforms both BayesTraits and StableTraits and is orders-of-magnitude faster. Our results suggest that, when predicting the ancestral and hidden states of continuous traits, the tempo and mode of evolution should always be assessed and the quality of confidence estimates should always be examined.</span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroSep 2021View details →
zenodo32/100

FIGURE 1 in Reinstatement of the independent specific status of Chrysanthemum neo-oreastrum (Asteraceae, Anthemideae)

FIGURE 1. Type specimens of Chrysanthemum neo-oreastrum (A, B) and C. hypargyreum (C, D). A. China, Sichuan, Songpan, E.H. Wilson 3858a (holotype: K). B. Same locality, E.H. Wilson 3858a (isotype: A). C. China, Shaanxi, Baoji, J. Giraldi 2903 (syntype: FI). D. China, Shaanxi, Meixian, J. Giraldi 2902 (syntype: FI).

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 3 in Reinstatement of the independent specific status of Chrysanthemum neo-oreastrum (Asteraceae, Anthemideae)

FIGURE 3. Chrysanthemum hypargyreum in the wild (Meixian, Shaanxi, China). A. Habitat and habit. B. Portion of stem. C. Leaves (adaxial surface; inset shows abaxial densely argenteous-sericeous leaf blade). D. Capitulum (top view). E. Capitulum (side view). F. Capitulum (back view). G. Phyllaries (abaxial surface). H. Ray florets. I. Tubular florets. All photographs by L. Wang.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 2 in Reinstatement of the independent specific status of Chrysanthemum neo-oreastrum (Asteraceae, Anthemideae)

FIGURE 2. Chrysanthemum neo-oreastrum in the wild (Songpan, Sichuan, China). A. Habitat and habit. B. Portion of stem. C. Leaves (adaxial surface; inset shows abaxial slightly araneose leaf blade). D. Capitulum (top view). E. Capitulum (side view). F. Capitulum (back view). G. Phyllaries (abaxial surface). H. Ray florets. I. Tubular florets. All photographs by L. Wang.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 12 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 12. Specimens of Thalictrum angustialatum (previously misidentified as T. leuconotum). A. China, Sichuan, Muli, Muli Exped. 52 (SM704604658); inset: flower. B. China, Sichuan, Muli, T.T. Yu 5706 (KUN0689917); inset: flower. C. China, Sichuan, Puge, Sichuan Med. Plant Exped. 25061 (SM704604653); inset: aggregate fruit. D. China, Sichuan, Xide, Anonymous 295 (SM704604657); inset: aggregate fruit.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 11 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 11. Specimens of Thalictrum angustialatum (previously misidentified as T. uncatum). A. China, Sichuan, Meigu, Anonymous 13088 (PE01040627); inset: aggregate fruit. B. China, Sichuan, Meigu, Anonymous 13126 (PE00427839); inset: aggregate fruit. C. China, Sichuan, Zhaojue, Anonymous 12823 (CDBI0026391); inset: aggregate fruit. D. China, Sichuan, Zhaojue, Anonymous 12823 (PE00427838); inset: aggregate fruit.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 10. A specimen numbered Bijie Exped. 125 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 10. A specimen numbered Bijie Exped. 125 (PE00471121) and agreeing with other sheets of Bijie Exped. 125 in the collection records, but actually belonging to Thalictrum lecoyeri and not cited in the protologue of T. angustialatum, and thus not an isotype of T. angustialatum.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 9 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 9. Mitotic metaphase chromosomes of Thalictrum angustialatum (A) (2n = 28), T. leuconotum (B, C) (2n = 14), T. sinomacrostigma (D) (2n = 28), and T. uncatum (E‒I) (2n = 14), all same scale. A. China, Yunnan, Qiaojia, Y.P. Zeng &amp; Q.L. Huang 315 (IBSC). B. China, Sichuan, Wenchuan, Y.P. Zeng &amp; Q.L. Huang 344 (IBSC). C. China, Xizang, Yadong, L. Wang et al. 2952 (IBSC). D. China, Sichuan, Kangding, Y.P. Zeng &amp; Q.L. Huang 373 (IBSC). E. China, Sichuan, Litang, Y.P. Zeng &amp; Q.L. Huang 403 (IBSC). F. China, Xizang, Bomi, W.Q. Fei 57 (IBSC). G. China, Xizang, Qamdo, L. Wang et al. 3410 (IBSC). H. China, Xizang, Nangxian, L. Wang et al. 3210 (IBSC). I. China, Xizang, Riwoqe, L. Wang et al. 3452 (IBSC).

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 8 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 8. Distribution of Thalictrum angustialatum (■) and T. uncatum (●). Arrow indicates the type locality of T. angustialatum, i.e. Weining in Guizhou, China.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 7 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 7. Sepals (A, E), stamens (B, F), carpels (C, G), and achenes (D, H) in Thalictrum angustialatum (A‒D) and T. uncatum (E‒H).

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 5 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 5. Thalictrum sinomacrostigma in the wild (Kangding in Sichuan, China). A. Habitat. B. Habit (plant in flowering). C. Habit (plant in fruiting). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side; inset: stipels). G. Leaflet (left: adaxial side; right: abaxial side). H. Flower. I. Sepal (left: abaxial side; right: adaxial side). J. Stamens. K. Carpels. L. Aggregate fruit. M. Achenes (immature). Photographed by Y.P. Zeng.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 6 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 6. Thalictrum uncatum in the wild (Kangding in Sichuan, China). A. Habitat. B. Habit (plant in flowering). C. Habit (plant in fruiting). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side; inset: stipels). G. Leaflet (left: adaxial side; right: abaxial side). H. Flower. I. Sepal (left: abaxial side; right: adaxial side). J. Stamens. K. Carpels. L. Aggregate fruit. M. Achenes (immature). Photographed by Y.P. Zeng.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 4 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 4. Thalictrum leuconotum in the wild (A, B, D‒K: Wenchuan in Sichuan, China; C, L, M: Yadong in Xizang, China). A. Habitat. B. Habit (plant in flowering). C. Habit (plant in fruiting). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side; inset: stipels). G. Leaflet (left: adaxial side; right: abaxial side). H. Flower. I. Sepal (left: abaxial side; right: adaxial side). J. Stamens. K. Carpels. L. Aggregate fruit. M. Achenes (immature). Photographed by Y.P. Zeng.

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 3 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 3. Specimens of Thalictrum angustialatum. A‒D: China, Yunnan, Qiaojia, Y.P. Zeng &amp; Q.L. Huang 315 (IBSC).

opennotspecifiedNov 2022View details →
zenodo32/100

FIGURE 2 in Raising Thalictrum uncatum var. angustialatum (Ranunculaceae) from China to T. angustialatum as an independent species based on evidence from morphology, geographical distribution, cytology and molecular systematics

FIGURE 2. Thalictrum angustialatum in the wild (Qiaojia in Yunnan, China). A. Habitat. B. Habit (plant in flowering). C. Habit (plant in fruiting). D. Roots. E. Portion of stem. F. Leaf (left: adaxial side; right: abaxial side; inset: stipels). G. Leaflet (left: adaxial side; right: abaxial side). H. Flower. I. Sepal (left: abaxial side; right: adaxial side). J. Stamens. K. Carpels. L. Aggregate fruit. M. Achenes (immature). Photographed by Y.P. Zeng.

opennotspecifiedNov 2022View details →
zenodo32/100

Polarisation-independent ultrafast laser selective etching processing in fused silica

<p>Data files for the manuscript: Polarisation-independent ultrafast laser selective etching processing in fused silica</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters, data part 6

<p>Part 6 of data for the article Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters, data part 4

<p>Part 4 of data for the article Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters.</p>

opencc-by-4.0Feb 2023View details →
zenodo32/100

Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters, data part 3

<p>Part 3&nbsp;of data for the article <em>Giant worm-shaped ESCRT-scaffolds surround actin-independent integrin clusters.</em></p>

opencc-by-4.0Feb 2023View details →

ScienceDex guides

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

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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