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37 results for “macrofungi”
FIGURE 1 in Morphological and molecular identification for two new species of woodinhabiting macrofungi (Basidiomycota) from Yunnan-Guizhou Plateau, China
FIGURE 1. Maximum Parsimony strict consensus tree illustrating the phylogeny of two new species and related species inAgaricomycetidae based on ITS+nLSU sequences. Branches are labeled with maximum likelihood bootstrap values equal to or above 70%, parsimony bootstrap values equal to or above 50% and Bayesian posterior probabilities equal to or above 0.95. The new species are in bold.
FIGURE 2 in Morphological and molecular identification for two new species of woodinhabiting macrofungi (Basidiomycota) from Yunnan-Guizhou Plateau, China
FIGURE 2. Maximum Parsimony strict consensus tree illustrating the phylogeny of the new species of Coniophora based on ITS sequences. Branches are labeled with maximum likelihood bootstrap values equal to or above 70%, parsimony bootstrap values equal to or above 50% and Bayesian posterior probabilities equal to or above 0.95.
FIGURE 5 in Morphological and molecular identification for two new species of woodinhabiting macrofungi (Basidiomycota) from Yunnan-Guizhou Plateau, China
FIGURE 5. Microscopic structures of Coniophora yunnanensis (drawn from the holotype). A. Basidiospores. B. Basidia and basidioles. C. A section of hymenium. Bars: A–C = 10 µm. Drawings by: Yang Yang
FIGURE 6 in Morphological and molecular identification for two new species of woodinhabiting macrofungi (Basidiomycota) from Yunnan-Guizhou Plateau, China
FIGURE 6. Basidiomata of Resupinatus yunnanensis. Bars: A = 2 cm, B = 1 mm (holotype). Photos by: Yang Yang
Data from: Interaction networks of macrofungi and mycophagous beetles reflect diurnal variation and the size and spatial arrangement of resources
Open the record for dataset details and reuse information.
Data from: Integrating soil properties into species distribution models enhances predictive accuracy for terricolous macrofungi
Open the record for dataset details and reuse information.
Supplementary material 2 from: Aman N, Khalid AN, Moncalvo J-M (2022) A compendium of macrofungi of Pakistan by ecoregions. MycoKeys 89: 171-233. https://doi.org/10.3897/mycokeys.89.81148
Detailed taxonomic checklist of macrofungi of Pakistan
Supplementary material 1 from: Aman N, Khalid AN, Moncalvo J-M (2022) A compendium of macrofungi of Pakistan by ecoregions. MycoKeys 89: 171-233. https://doi.org/10.3897/mycokeys.89.81148
Macrofungi list by biome and ecoregion of Pakistan
Patterns and drivers of the global diversity of non-native macrofungi [DATA SET]
<p>Data sets used in manuscript: <strong>Patterns and drivers of the global diversity of non-native macrofungi.</strong></p>
Fig. 8 in Notes of 15 unrecorded macrofungi in Korea
Fig. 8. The phylogenetic tree of Hyphoderma nudicephalum (SFC20150108-26, SFC20150113-05, and SFC20180704-83) and H. tenue (KUC20180919-27). The tree was constructed based on ITS and LSU gene datasets of the genus Hyphoderma. Physisporinus tibeticus was used as an outgroup. The newly generated sequence is shown in blue and bold. Bootstrap support values more than 70 are shown.
Fig. 7 in Notes of 15 unrecorded macrofungi in Korea
Fig. 7. The phylogenetic tree of Gerronema kuruvense (KUC20220701-03). The tree was constructed based on ITS gene datasets of the genus Gerronema. Trogia venenata was used as an outgroup. The newly generated sequence is shown in blue and bold. Bootstrap support values more than 70 are shown.
Fig. 4 in Notes of 15 unrecorded macrofungi in Korea
Fig. 4. The phylogenetic tree of Baorangia alexandri (KUC2019 0731-65). The tree was constructed based on ITS gene datasets of the genus Baorangia. Butyriboletus roseoflavus was used as an outgroup. The newly generated sequence is shown in blue and bold. Bootstrap support values more than 70 are shown.
Fig. 9 in Notes of 15 unrecorded macrofungi in Korea
Fig. 9. The phylogenetic tree of Macrolepiota subcitrophylla KUC 20220825-04. The tree was constructed based on ITS gene datasets of the genus Macrolepiota. Leucoagaricus meleagris was used as an outgroup. The newly generated sequence is shown in blue and bold. Bootstrap support values more than 70 are shown.
Supplementary material 2 from: Monteiro M, Capinha C, Ferreira MT, Nuñez MA, Reino L (2023) Negative and positive impacts of alien macrofungi: a global scale database. NeoBiota 85: 23-42. https://doi.org/10.3897/neobiota.85.101770
Positive impacts of alien macrofungi
Supplementary material 1 from: Monteiro M, Capinha C, Ferreira MT, Nuñez MA, Reino L (2023) Negative and positive impacts of alien macrofungi: a global scale database. NeoBiota 85: 23-42. https://doi.org/10.3897/neobiota.85.101770
Negative impacts of alien macrofungi
Fig. 3 in Six unrecorded macrofungi from the Royal Tombs (Donggureung and Seooreung) of the Joseon Dynasty and Jongmyo Shrine, Korea
Fig. 3. Microscopic features of six newly recorded species in Korea: A, Cruentomycena kedrovaya (SFC20150811-45); B, Parasola setulosa (SFC20150812-15); C, Pluteus longistriatus (SFC20160512-14); D, Dacrymyces aureosporus (SFC20150618-05); E, Laetiporus versisporus (SFC20150723-24); F, Piptoporellus soloniensis (SFC20150811-40). a, basidiospores; b, basidia; c, cheilocystidia; d, pleurocysidia; gh, generative hyphae; sh, skeletal binding hyphae. Scale bars = 10 μm.
Figure 1 from: Kinge TR, Goldman G, Jacobs A, Ndiritu GG, Gryzenhout M (2020) A first checklist of macrofungi for South Africa. MycoKeys 63: 1-48. https://doi.org/10.3897/mycokeys.63.36566
Figure 1 Bargraph indicating proportions of families, genera and species per order.
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.