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Figure 9 from: Moreno-González JA, Pinto-da-Rocha R, Gallão JE (2021) Bringing order to a complex system: phenotypic and genotypic evidence contribute to the taxonomy of Tityus (Scorpiones, Buthidae) and support the description of a new species. ZooKeys 1075: 33-75. https://doi.org/10.3897/zookeys.1075.67459

Figure 9 Tityus (Tityus) spelaeus sp. nov., female holotype (MZSP 74633), right pedipalp segments A femur, dorsal view B, C patella B dorsal view C external view. Scale bars: 1.5 mm.

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Figure 2 from: Alvarado AT, Ybañez-Julca R, Muñoz AM, Tejada-Bechi C, Cerro R, Quiñones LA, Varela N, Alvarado CA, Alvarado E, Bendezú MR, García JA (2021) Frequency of CYP2D6*3 and *4 and metabolizer phenotypes in three mestizo Peruvian populations. Pharmacia 68(4): 891-898. https://doi.org/10.3897/pharmacia.68.e75165

Figure 2 Percentages (%) of poor metabolizers (gPM) extrapolated from the genotype in different populations of the tricontinent and Latin America previously studied and their clinical implication. ##: tricontinental population, **: Latin American population.

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Figure 4 from: Mu T, Zhang Z, Liu R, Liu S, Li Z, Zhang X, Xia J (2021) Morphological and molecular phylogenetic analyses reveal three species of Colletotrichum in Shandong province, China. MycoKeys 85: 57-71. https://doi.org/10.3897/mycokeys.85.75944

Figure 4 Colletotrichum pandanicola (SAUCC201152) a lesion fruit of host plant b, c surface (b) and reverse (c) sides of colony after incubation for 7 days on PDA d conidiomata e, f conidiophores, conidiogenous cells and conidia g, h conidiophores, conidiogenous cells i–k conidia. Scale bars: 10 μm (e–k).

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Figure 2 from: Mu T, Zhang Z, Liu R, Liu S, Li Z, Zhang X, Xia J (2021) Morphological and molecular phylogenetic analyses reveal three species of Colletotrichum in Shandong province, China. MycoKeys 85: 57-71. https://doi.org/10.3897/mycokeys.85.75944

Figure 2 Colletotrichum gloeosporioides (SAUCC201001) a lesion fruit of host plant b, c surface (b) and reverse (c) sides of colony after incubation for 7 days on PDA d conidiomata e conidiophores, conidiogenous cells and conidia f–h conidia. Scale bars: 10 μm (e–h).

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Figure 3 from: Mu T, Zhang Z, Liu R, Liu S, Li Z, Zhang X, Xia J (2021) Morphological and molecular phylogenetic analyses reveal three species of Colletotrichum in Shandong province, China. MycoKeys 85: 57-71. https://doi.org/10.3897/mycokeys.85.75944

Figure 3 Colletotrichum mengyinense (SAUCC200702) a branch with leaves of host plant b, c surface (b) and reverse (c) sides of colony after incubation for 7 days on PDA d conidiomata e-g conidiophores, conidiogenous cells and conidia h–j conidia. Scale bars: 10 μm (e–j).

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Supplementary material 2 from: Muraro M, Romagnoli S, Barzaghi B, Falaschi M, Manenti R, Ficetola GF (2021) Invasive predators induce plastic and adaptive responses during embryo development in a threatened frog. NeoBiota 70: 69-86. https://doi.org/10.3897/neobiota.70.65454

Raw data

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Figure 1 from: Mu T, Zhang Z, Liu R, Liu S, Li Z, Zhang X, Xia J (2021) Morphological and molecular phylogenetic analyses reveal three species of Colletotrichum in Shandong province, China. MycoKeys 85: 57-71. https://doi.org/10.3897/mycokeys.85.75944

Figure 1 Phylogram of Colletotrichum gloeosporioides complex based on combined ITS, GAPDH, CHS-1, ACT, TUB2, CAL and GS genes. The ML and BI bootstrap support values above 50% and 0.90 BYPP are shown at the first and second position, respectively. Strains marked with "*" are ex-type or ex-epitype. Strains from this study are shown in red. Two branches were shortened to fit the page size-these are indicated by the symbol (//) with an indication number showing how many times they are shortened.

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Figure 3 from: Subaşı Ü, Sánchez Pedraja Ó, Piwowarczyk R (2021) Phelypaea boissieri f. lutea (Orobanchaceae), a peculiar new form from Turkey and typification of the name of this species. PhytoKeys 186: 159-167. https://doi.org/10.3897/phytokeys.186.77575

Figure 3 Habitat and general habit of Phelypaea boissieri f. lutea at 2,470 m alt. in Cilo Mountains, Hakkari province, SE Turkey. Phot. Ü. Subaşı.

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Supplementary material 4 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Table S4. Vegetative and floral characters

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Supplementary material 3 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Table S3. List of Ficus sequences retrieved from GenBank

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Supplementary material 2 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Table S2. List of Ficus species collected from different parts of India

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Figure 2 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Figure 2 Maximum Clade Credibility (MCC) tree from Bayesian analysis using two DNA barcode markers (ITS2+trnH-psbA) with posterior probabilities values in percentage that are shown at nodes.

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Figure 1 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Figure 1 Typical morphology of Ficus benghalensis and Ficus krishnae. A1, A2Ficus benghalensis twig and figs (PC: Jana Venkata Sudhakar) B1, B2Ficus krishnae twig and figs (PC: Jana Venkata Sudhakar)

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Supplementary material 7 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Figure S2. Multiple sequence alignment of trnH-psbA in Ficus krishnae and Ficus benghalensis

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Figure 3 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Figure 3 Total evidence MCC tree from Bayesian analysis of the two DNA markers and morphology. The Posterior Probabilities values in percentage are shown at the nodes.

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Supplementary material 6 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Figure S1. Multiple sequence alignment of ITS2 in Ficus krishnae and Ficus benghalensis

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Supplementary material 1 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Table S1. The PCR reaction conditions for the barcoding loci

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Supplementary material 5 from: Mahima K, Umapathy S, Sudhakar JV, Sathishkumar R (2021) Systematic reinstatement of highly sacred Ficus krishnae based on differences in morphology and DNA barcoding from Ficus benghalensis (Moraceae). PhytoKeys 186: 121-138. https://doi.org/10.3897/phytokeys.186.74086

Table S5. The data matrix of vegetative and floral characters

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Figure 3 from: Zembrzuski D, Woller DA, Jech L, Black LR, Reuter KC, Overson R, Cease A (2021) Establishing the nutritional landscape and macronutrient preferences of a major United States rangeland pest, Melanoplus sanguinipes, in field and lab populations. Journal of Orthoptera Research 30(2): 163-172. https://doi.org/10.3897/jor.30.61605

Figure 3 Performance experiments. Survival and specific growth rates of grasshoppers from the long-term lab colony no-choice diet experiments. A. The specific growth rates for each diet treatment. Diamonds indicate the mean and bolded lines indicate the median. Boxes are +/- 25%, lines represent minimum and maximum values excluding extreme values, and dots indicate data points > 1.5 farther from the box edge than the interquartile range. Lower case letters indicate differences from Mann-Whitney post-hoc analyses. B. The proportion of grasshoppers surviving through time on each diet treatment. Most diet treatments did not have individuals die until the 5th day of the experiment, and most treatments except 7p:35c had minimal deaths (although there were no significant differences among treatments). C. Proportion of grasshoppers molting to adults over time. Most of the diets saw increases in molting from days 5–7, except diet treatment 7p:35c, which was delayed and had the least number of grasshoppers successfully molt (significantly different from all other treatments).

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Supplementary material 1 from: Muñoz-Mas R, Carrete M, Castro-Díez P, Delibes-Mateos M, Jaques JA, López-Darias M, Nogales M, Pino J, Traveset A, Turon X, Vilà M, García-Berthou E (2021) Management of invasive alien species in Spain: a bibliometric review. NeoBiota 70: 123-150. https://doi.org/10.3897/neobiota.70.68202

Complete reference list and the features used to characterise the references

opencc-zeroDec 2021View 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

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