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.
302
datasets available to search
ShareScore release 0.9.0
Dataset results
302 results for “entomopathogen”
Figure 2 in A new entomopathogenic fungus, Ophiocordyceps xifengensis sp. nov., from Liaoning, China
Figure 2. Morphological characteristics of Ophiocordyceps xifengensis A thorax of nymphal host growing mature ascospores; B fertile part with infertile tip; C–E Perithecia arrangement; F Perithecia, G–H asci; I–J ascospores; K Colony obverse and reverse; L–N optical microscope images of the general morphology of conidiogenous cells and conidia(OM); O–Q Conidiogenous cells structure and conidia under scanning electron microscope(SEM). Scale bars: A=1cm; B–F=500μm; G–J=10μm; K=1cm; L–N=10 μm; O–Q, scale bars are shown in Fig, SEM.
Figure 1 in A new entomopathogenic fungus, Ophiocordyceps xifengensis sp. nov., from Liaoning, China
Figure 1. Phylogenetic analysis of Ophiocordyceps xifengensis and related species from the five genes dataset (nrLSU, nrSSU, tef–1α, rpb1, and ITS) based on ML and BI analyses. Statistical support values of BI posterior probabilities and ML bootstrap proportions (0.5/≥50%) are shown at the nodes.
Figure 1 in Natural occurrence of entomopathogenic nematode species (Rhabditida: Steinernematidae and Heterorhabditidae) in cotton fields of Tamil Nadu, India
Figure 1. Geographic regions of Tamil Nadu state of india showing sampling sites. 1. Villupuram District; 2. Erode District; 3. Coimbatore District; 4. Ariyalur District; 5. Dindigul District; 6. Theni District; 7. Madurai District; 8. Virudhunagar District; 9. Thirunelveli District; 10. Thoothukudi District. Positive sampling sites: Steinernema carpocapsae, filled square; Steinernema siamkayai, filled triangle; Steinernema monticolum, filled circle; Heterorhabditis bacteriophora, filled star. Negative sampling site, open circle.
FIGURE 1 in Population Trends Of The Red Palm Mite, Raoiella Indica Hirst (Acari: Tenuipalpidae) And Associated Entomopathogenic Fungi In Trinidad, Antigua, St Kitts And Nevis And Dominica
FIGURE 1: Average population of Red Palm Mite in the different islands evaluated.
FIGURE 2 in Ophiocordyceps furcatosubulata, a new entomopathogenic fungus parasitizing beetle larvae (Coleoptera: Elateridae)
FIGURE 2. Morphology of Ophiocordyceps furcatosubulata. a. Stroma arising from the larva of elaterid beetle buried in soil. b–c. Mature and immature stromata on larvae of elaterid beetle. d. Fertile part with immersed perithecia and a furcate sterile apex. e. The host of O. furcatosubulata; f. Front view of perithecia. g–j. Asci. k. Secondary ascospores. l. Colony on PDA. m–o. Conidiophores, conidiogenous cells and conidia. p. Chlamydospores. Scale bars: a, d–e = 5 mm; b–c, l = 10 mm; f = 500 μm; g–i = 50 μm; j–k = 5 μm; m = 10 μm; n-o = 4 μm; p = 20 μm.
FIGURE 1 in Cordyceps yaoluopingensis sp. nov., a new entomopathogenic species from China
FIGURE 1. Phylogram of Cordyceps yaoluopingensis generated from maximum likelihood (IQ-TREE 2) analysis of combined ITS, SSU, LSU, tef1-α, rpb1 and rbp2 sequence data. The tree is rooted with both Tolypocladium inflatum and T. ophioglossoides. Bootstrap support values for maximum likelihood, greater than 75% and Posterior Probabilities from Bayesian Inference more than 0.90 are given above branches. New species are indicated in red bolded.
FIGURE 2 in Cordyceps yaoluopingensis sp. nov., a new entomopathogenic species from China
FIGURE 2. Cordyceps yaoluopingensis (holotype: CZ01). a. Habitat. b, c. Overview of the host and synnemata. d. Synnemata. e. Host. f, g. Conidiophores. h. Conidia. i, j. Culture on PDA. k–n. Conidiophores and phialides. o, p. Conidia. Scale bars: I = 2 cm, b, c,j = 1 cm, d, e = 0.5 cm, f,k,m = 50 µm, g, l, n = 20 µm, h, o = 5 µm.
FIGURE 1 in Cordyceps yaoluopingensis sp. nov., a new entomopathogenic species from China
FIGURE 1 (Continued). Phylogram of Cordyceps yaoluopingensis generated from maximum likelihood (IQ-TREE 2) analysis of combined ITS, SSU, LSU, tef1-α, rpb1 and rbp2 sequence data.
Supplementary material 4 from: Sun T, Zou W, Dong Q, Huang O, Tang D, Yu H (2022) Morphology, phylogeny, mitogenomics and metagenomics reveal a new entomopathogenic fungus Ophiocordyceps nujiangensis (Hypocreales, Ophiocordycipitaceae) from Southwestern China. MycoKeys 94: 91-108. https://doi.org/10.3897/mycokeys.94.89425
Phylogenetic analyses of the ranked top 50 families identified from Ophiocordyceps nujiangensis based on maximum likelihood (ML). Values at the nodes are ML bootstrap proportions
Supplementary material 3 from: Sun T, Zou W, Dong Q, Huang O, Tang D, Yu H (2022) Morphology, phylogeny, mitogenomics and metagenomics reveal a new entomopathogenic fungus Ophiocordyceps nujiangensis (Hypocreales, Ophiocordycipitaceae) from Southwestern China. MycoKeys 94: 91-108. https://doi.org/10.3897/mycokeys.94.89425
Rarefaction curves (Shannon-Wiener curve) of the fungal communities collected from the fruiting body from four different specimens of Ophiocordyceps nujiangensis
Supplementary material 2 from: Sun T, Zou W, Dong Q, Huang O, Tang D, Yu H (2022) Morphology, phylogeny, mitogenomics and metagenomics reveal a new entomopathogenic fungus Ophiocordyceps nujiangensis (Hypocreales, Ophiocordycipitaceae) from Southwestern China. MycoKeys 94: 91-108. https://doi.org/10.3897/mycokeys.94.89425
The information of species and their mitochondrial genomes for constructing the mitochondrial-genome phylogenetic tree of Hypocreales
FIGURE 8 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 8. Median lethal time (LT50) of Steinernema feltiae in the larvae of different insect pests at different time intervals and at different nematode concentrations, respectively.
FIGURE 6 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 6. Maximum-likelihood phylogenetic tree between Steinernema feltiae and other species of Steinernema in the Feltiae-group based on nucleotide sequences of the D2–D3 expansion segments of large subunit (28S) of rRNA flanked by primers D2F and 536. Numbers at nodes represent bootstrap values based on 100 replications. Bars represent average nucleotide substitutions per sequence position. NCBI accession numbers of the nucleotide sequences used for the analyses are shown next to the species names. The scale bar shows the number of substitutions per site.
FIGURE 4 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 4. Steinernema feltiae (light microscopy). A–C: First-generation female; A: Neck region (arrow pointing excretory pore); B: Vulva region; C: Posterior end (arrow pointing mucron). D,E: First-generation male; D: Neck region (arrow pointing excretory pore); E: Posterior end showing spicules and gubernaculum (arrow pointing mucron). F,G: Second-generation male; F: Neck region (arrow pointing excretory pore); G: Posterior end showing spicules and gubernaculum (arrow pointing mucron). H–J: Second-generation female; H: Neck region (arrow pointing excretory pore); I: Vulva region; J: Posterior end (arrow pointing mucron).
FIGURE 2 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 2. Steinernema feltiae (line). A–D: First-generation female; A: Neck region; B: Posterior end; C: Vulva region; D: Whole female. E,G–K: Second-generation female; E: Whole female; G: Neck region; H–J: Posterior region showing variation in tail region; K: Vulva region. F: Whole infective juvenile.
FIGURE 3 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 3. Steinernema feltiae (line). A–C: First-generation male; A: Whole male; B–C: Posterior region showing variations in spicule morphology. D,E: Second-generation male; D: Whole male; E: Posterior region.
FIGURE 7 in Morphological and molecular profiling of an entomopathogenic nematode Steinernema feltiae: Unlocking its biocontrol potential against vegetable insect pests
FIGURE 7. Median lethal concentration (LC50) of Steinernema feltiae in the larvae of different insect pests at different time intervals and at different nematode concentrations, respectively.
Fig. 1 in Virulence of two entomopathogenic nematode species, Steinernema sp. (strain PQ16) and Heterorhabditis indica (strain KT3987), to nymphs of the coffee cicada Dundubia nagarasingna
Fig. 1. Mortality of coffee cicada nymphs, Dundubia nagarasingna, treated with entomopathogenic nematodes, Steinernema sp. (strain PQ16) and Heterorhabditis indica (strain KT3987), at inoculation doses of 100, 200, 300, 400, 500 and 600 infective juveniles (IJ) nymph−1 at A: 24 h, B: 48 h, C: 72 h after inoculation. Values are means ± SE; different letters in each figure represent means that are statistically different between nematode concentrations (Tukey's HSDtest, P <0.05). Thecorrectedcumulative mortality axis indicates nymphal mortality increasing with IJ inoculation doses and exposure time. Mortality data were corrected by Abbott's formula (Abbott, 1925).
Fig. 4 in Virulence of two entomopathogenic nematode species, Steinernema sp. (strain PQ16) and Heterorhabditis indica (strain KT3987), to nymphs of the coffee cicada Dundubia nagarasingna
Fig. 4. Number of infective juveniles (IJ) (250 ml soil)−1 at the treatment dose of 40 × 103 and 60 × 103 IJ pot−1 10, 20 and 30 days after treatment. A: S-PQ16 strain, B: H-KT3987 strain. Letters indicate significant differences among interval times in each (lower case andupper case) IJdose (one-way ANOVA, P <0.05). Pair-treatmentcomparisonbetweeninitialinoculationsisrepresentedwithlines above thecolumns (Student's t -test, *P <0.05, **P <0.01, ***P <0.001, ns: not significant). Valuesaremeans ± SE.
Fig. 3 in Virulence of two entomopathogenic nematode species, Steinernema sp. (strain PQ16) and Heterorhabditis indica (strain KT3987), to nymphs of the coffee cicada Dundubia nagarasingna
Fig. 3. Efficacy of entomopathogenic nematodes, Steinernema sp. (strain PQ16) and Heterorhabditis indica (strain KT3987), to coffee cicada nymphs at doses of 40 × 103 and 60 × 103 infective juveniles (IJ) pot−1 after 10, 20 and 30 DAT. A: S-PQ16 strain; B: H-KT3987 strain. Different letters indicate significant differences among interval times in each nematode concentration (One-way ANOVA, P <0.05). Comparisonbetweentwotreateddosesisrepresentedwithlinesabovethecolumns (Student's t -test, *P <0.05, **P <0.01, ***P <0.001, ns: notsignificant). Valuesaremeans ± SE.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.