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datasets available to search
ShareScore release 0.9.0
Dataset results
16 results for “Phanerochaete”
FIGURE 13–16. 13. Phanerochaete australis. 14 in Some new species and new records of corticioid fungi (Basidiomycota) from the Brazilian Amazon
FIGURE 13–16. 13. Phanerochaete australis. 14. Phanerochaete sp. 15. Trechispora aff. nivea. 16. Vararia aff. rugosispora. a. Basidiospores. b. Basidia. c. Cystidia. ch. Hyphal cords. cr. Crystals. di. Dichohyphae. g. Gloeocystidia. h. hyphae. la. Lamprocystidia. sh. Subicular hyphae.
Figure 5 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 5 Phanerochaetecystidiata (holotype, GC 1708-358) A profile of basidiome section B basidiome section C leptocystidia D basidia E basidiospores. Scale bars: 100 μm (A); 10 μm(B–E).
Figure 3 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 3 Basidiomes. APhanerochaetecanobrunnea (holotype, CHWC 1506-17) BP.cystidiata (holotype, GC 1708-358) CP.fusca (holotype, Wu 1409-161). Scale bar:1cm.
Figure 2 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 2 Phylogram inferred from Maximum likelihood analysis of the concatenated ITS+nuc 28S dataset of taxa in Phanerochaete s.s. Nodes are labelled with Maximum likelihood bootstrap values ≥70% and Bayesian Posterior probabilities ≥0.9. Studied taxa studied are shaded with greyish boxes. Scale bar = substitutions per site.
Figure 1 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 1 Phylogram inferred from Maximum likelihood analysis of the concatenated 5.8S+nuc 28S+rpb1 dataset of representative taxa in the phlebioid clade of Polyporales. Branches are labelled with Maximum likelihood bootstrap values ≥70% and Bayesian posterior probabilities ≥0.9. Studied taxa are shaded with greyish boxes. Scale bar = substitutions per site.
Figure 6 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 6 Phanerochaetefusca (holotype, Wu 1409-161) A profile of basiome section B basidiome section C leptocystidia D subicular hyphae, usually swollen at hyphal ends E basidia F basidiospores. Scale bars: 100 μm (A); 10 μm (B–F).
Figure 4 from: Wu S-H, Chen C-C, Wei C-L (2018) Three new species of Phanerochaete (Polyporales, Basidiomycota). MycoKeys 41: 91-106. https://doi.org/10.3897/mycokeys.41.29070
Figure 4 Phanerochaetecanobrunnea (holotype, CHWC 1506-17) A profile of basidiome section B lower part of basidiome section C generative hyphae D skeletal hyphae E basidia F basidiospores. Scale bars: 100 μm (A); 10 μm (B–F).
Effect of Oak extractives on the gene expression of Phanerochaete chrysosporium
GEO Series GSE119735. Phanerodontia chrysosporium. 12 samples. Type: Expression profiling by high throughput sequencing.
Transcriptomic atlas of mushroom development reveals conserved genes behind complex multicellularity in fungi [Phanerochaete chrysosporium]
GEO Series GSE125199. Phanerodontia chrysosporium. 8 samples. Type: Expression profiling by high throughput sequencing.
Phanerochaete chrysosporium gene expression in different media
GEO Series GSE52922. Phanerodontia chrysosporium; Phanerochaete chrysosporium RP-78. 9 samples. Type: Expression profiling by array.
Mycoremediation of copper-azole wood preservatives by Phanerochaete chrysosporium with a focus on resistance mechanisms and azole detoxification
GEO Series GSE284110. Phanerodontia chrysosporium. 15 samples. Type: Expression profiling by high throughput sequencing.
Phanerochaete chrysosporium gene expression on different substrates
GEO Series GSE69008. Phanerochaete chrysosporium RP-78; Phanerodontia chrysosporium. 24 samples. Type: Expression profiling by array.
LongSAGE during the initiation of ligninolytic enzymes production in Phanerochaete chrysosporium
GEO Series GSE6649. Phanerodontia chrysosporium. 2 samples. Type: Expression profiling by SAGE.
Transcriptomic analysis of Phanerochaete chrysosporium mycelium in presence of oak acetonic extractives
GEO Series GSE54542. Phanerodontia chrysosporium. 6 samples. Type: Expression profiling by array.
ene expression patterns of wood decay fungi Postia placenta and Phanerochaete chrysosporium are influenced by wood substrate composition during degradation
GEO Series GSE69012. Rhodonia placenta; Phanerochaete chrysosporium RP-78; Phanerodontia chrysosporium. 47 samples. Type: Expression profiling by array.
Regulation of gene expression during the onset of ligninolytic oxidation by Phanerochaete chrysosporium on colonized wood
GEO Series GSE69461. Phanerodontia chrysosporium. 18 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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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.
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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.