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Figure 1 from: Năstase-Bucur R, Allegrucci G, Ketmaier V, Mirea IC, Moldovan OT (2022) Comparative phylogeography of two troglobitic Coleoptera (Leiodidae, Leptodirini) species from Romania based on mitochondrial DNA. Subterranean Biology 42: 61-78. https://doi.org/10.3897/subtbiol.42.73524
Figure 1 Sampling sites of P. (Parapholeuon) gracile in Pădurea Craiului Mountains (blue) and P. (s. str.) leptodirum in Bihorului Mountains (red). Codes refer to the caves' name, as indicated in Table 1.
Supplementary material 2 from: Kenis M, Agboyi LK, Adu-Acheampong R, Ansong M, Arthur S, Attipoe PT, Baba A-SM, Beseh P, Clottey VA, Combey R, Dzomeku I, Eddy-Doh MA, Fening KO, Frimpong-Anin K, Hevi W, Lekete-Lawson E, Nboyine JA, Ohene-Mensah G, Oppong-Mensah B, Nuamah HSA, van der Puije G, Mulema J (2022) Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana. NeoBiota 71: 129-148. https://doi.org/10.3897/neobiota.71.72577
Risk scores for potential invasive alien plant pests in Ghana
Supplementary material 1 from: Kenis M, Agboyi LK, Adu-Acheampong R, Ansong M, Arthur S, Attipoe PT, Baba A-SM, Beseh P, Clottey VA, Combey R, Dzomeku I, Eddy-Doh MA, Fening KO, Frimpong-Anin K, Hevi W, Lekete-Lawson E, Nboyine JA, Ohene-Mensah G, Oppong-Mensah B, Nuamah HSA, van der Puije G, Mulema J (2022) Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana. NeoBiota 71: 129-148. https://doi.org/10.3897/neobiota.71.72577
Guidelines for horizon scanning for plant pests potentially threatening Ghana
Figure 2 from: Năstase-Bucur R, Allegrucci G, Ketmaier V, Mirea IC, Moldovan OT (2022) Comparative phylogeography of two troglobitic Coleoptera (Leiodidae, Leptodirini) species from Romania based on mitochondrial DNA. Subterranean Biology 42: 61-78. https://doi.org/10.3897/subtbiol.42.73524
Figure 2 Geographic distribution of haplotypes in P. gracile and P. leptodirum. Individuals of DOB and CPO caves are fixed for the haplotype H3 in P. gracile; individuals of SEC cave are fixed for the unique haplotype H10 in P. leptodirum (abbreviations for the names of caves as in Table 1).
Figure 4 from: Năstase-Bucur R, Allegrucci G, Ketmaier V, Mirea IC, Moldovan OT (2022) Comparative phylogeography of two troglobitic Coleoptera (Leiodidae, Leptodirini) species from Romania based on mitochondrial DNA. Subterranean Biology 42: 61-78. https://doi.org/10.3897/subtbiol.42.73524
Figure 4 Bayesian tree constructed from 145 individuals of P. gracile and P. leptodirum from the Apuseni Mountains, belonging to 13 populations (caves). The genetic separation of the two species is clear. As outgroup an Ovobathysciola sp. from Sardinia was used.
Figure 3 from: Le Thi L, Mertens A, Vu DT, Vu TD, Anh Minh PL, Duc HN, de Backer S, Swennen R, Vandelook F, Panis B, Amalfi M, Decock C, Gomes SIF, Merckx VSFT, Janssens SB (2022) Diversity of Fusarium associated banana wilt in northern Viet Nam. MycoKeys 87: 53-76. https://doi.org/10.3897/mycokeys.87.72941
Figure 3 Maximum Likelihood topology obtained via heuristic search algorithm of the combined rpb1, rpb2 and tef1a data matrix. Bootstrap support (ML-BS) values above 50 are indicated with a dot, ML-BS values above 75 are indicated with an asterisk. No indication above the branches indicates a ML-BS value below 50. Newly included accessions are indicated in red. FOSC: Fusarium oxysporum species complex, FFSC: Fusarium fujikuroi species complex.
Figure 2 from: Le Thi L, Mertens A, Vu DT, Vu TD, Anh Minh PL, Duc HN, de Backer S, Swennen R, Vandelook F, Panis B, Amalfi M, Decock C, Gomes SIF, Merckx VSFT, Janssens SB (2022) Diversity of Fusarium associated banana wilt in northern Viet Nam. MycoKeys 87: 53-76. https://doi.org/10.3897/mycokeys.87.72941
Figure 2 A overall view of a banana plant infected by Fusarium wilt B detailed view of wilted plant C radial cutting of Fusarium-infected banana pseudostem D tangential cutting of Fusarium-infected banana pseudostem.
Figure 1 from: Le Thi L, Mertens A, Vu DT, Vu TD, Anh Minh PL, Duc HN, de Backer S, Swennen R, Vandelook F, Panis B, Amalfi M, Decock C, Gomes SIF, Merckx VSFT, Janssens SB (2022) Diversity of Fusarium associated banana wilt in northern Viet Nam. MycoKeys 87: 53-76. https://doi.org/10.3897/mycokeys.87.72941
Figure 1 Distribution map of localities in northern Viet Nam where Fusarium wilt was observed. Colours indicate different Fusarium strains or species. Squares indicate Fusarium infections of wild bananas; circles indicate infections of cultivated bananas.
Supplementary material 1 from: Le Thi L, Mertens A, Vu DT, Vu TD, Anh Minh PL, Duc HN, de Backer S, Swennen R, Vandelook F, Panis B, Amalfi M, Decock C, Gomes SIF, Merckx VSFT, Janssens SB (2022) Diversity of Fusarium associated banana wilt in northern Viet Nam. MycoKeys 87: 53-76. https://doi.org/10.3897/mycokeys.87.72941
Table S1
Figure 1 from: Sun Y-R, Liu N-G, Hyde KD, Jayawardena RS, Wang Y (2022) Pleocatenata chiangraiensis gen. et. sp. nov. (Pleosporales, Dothideomycetes) from medicinal plants in northern Thailand. MycoKeys 87: 77-98. https://doi.org/10.3897/mycokeys.87.79433
Figure 1 Maximum likelihood tree generated by IQ-Tree, based on analysis of a combined dataset of LSU, SSU, tef1-α, rpb2 and ITS sequence data. Bootstrap support values for ML greater than 75% and Bayesian posterior probabilities greater than 0.95 are given near nodes, respectively. Ex-type strains are in bold, the new isolates are in red.
Figure 2 from: Sun Y-R, Liu N-G, Hyde KD, Jayawardena RS, Wang Y (2022) Pleocatenata chiangraiensis gen. et. sp. nov. (Pleosporales, Dothideomycetes) from medicinal plants in northern Thailand. MycoKeys 87: 77-98. https://doi.org/10.3897/mycokeys.87.79433
Figure 2 Pleocatenata chiangraiensis (MFLU 22-0002, holotype) a host (Tarenna stellulata) b, c colonies on natural substrate d, e conidiophores with conidia f conidiogenous cells g–k conidia l germinated conidium m, n colonies on PDA (upper view and lower view). Scale bars: 1 mm (b); 100 μm (c); 20 μm (d–l).
Figure 6 from: Xie D-F, Cheng R-Y, Price M, Chen J-P, Lei J-Q, Zhang Y-Y, He X-J (2022) Allium heterophyllum (Amaryllidaceae), a new species from Henan, China. PhytoKeys 190: 53-67. https://doi.org/10.3897/phytokeys.190.77449
Figure 6 Phylogenetic relationships inferred from three cpDNA alignments. Trees constructed with maximum likelihood (ML) and Bayesian inference (BI). Support values reported above the branches are bootstrap values of ML and posterior probability of BI. * = maximum support in the two analyses. Branches of Allium sect. Rhizirideum are in rose red and the samples of Allium heterophyllum are in red and markered with the star.
Figure 2 from: Xie D-F, Cheng R-Y, Price M, Chen J-P, Lei J-Q, Zhang Y-Y, He X-J (2022) Allium heterophyllum (Amaryllidaceae), a new species from Henan, China. PhytoKeys 190: 53-67. https://doi.org/10.3897/phytokeys.190.77449
Figure 2 Morphological characters of Allium heterophyllumA, D single flower with light purple or white color B, E outer (left) and inner (right) tepals C, F inner (top) and outer (bottom) tepals and stamen G stamen and trait at the base H ovary I cross-section of ovary showing the carpels J–L the cross-section of leaf showing the blade characters M cross-section of rhomboid scapes N seeds' characters.
Supplementary material 1 from: Xie D-F, Cheng R-Y, Price M, Chen J-P, Lei J-Q, Zhang Y-Y, He X-J (2022) Allium heterophyllum (Amaryllidaceae), a new species from Henan, China. PhytoKeys 190: 53-67. https://doi.org/10.3897/phytokeys.190.77449
Table S1
Figure 1 from: Xie D-F, Cheng R-Y, Price M, Chen J-P, Lei J-Q, Zhang Y-Y, He X-J (2022) Allium heterophyllum (Amaryllidaceae), a new species from Henan, China. PhytoKeys 190: 53-67. https://doi.org/10.3897/phytokeys.190.77449
Figure 1 Living images of Allium heterophyllumA habitat, growing on the open slope of rock B, C inflorescence, light purple with loose flowers D bulb with the horizontal rhizome.
Figure 5 from: Xie D-F, Cheng R-Y, Price M, Chen J-P, Lei J-Q, Zhang Y-Y, He X-J (2022) Allium heterophyllum (Amaryllidaceae), a new species from Henan, China. PhytoKeys 190: 53-67. https://doi.org/10.3897/phytokeys.190.77449
Figure 5 Phylogenetic relationships inferred from ITS. Trees constructed with maximum likelihood (ML) and Bayesian inference (BI). Support values reported above the branches are bootstrap values of ML and posterior probability of BI. * = maximum support in the two analyses. Samples of Allium sect. Rhizirideum are in rose red and the sequences of Allium heterophyllum are in red and markered with the star.
Supplementary material 1 from: Sakata MK, Kawata MU, Kurabayashi A, Kurita T, Nakamura M, Shirako T, Kakehashi R, Nishikawa K, Hossman MY, Nishijima T, Kabamoto J, Miya M, Minamoto T (2022) Development and evaluation of PCR primers for environmental DNA (eDNA) metabarcoding of Amphibia. Metabarcoding and Metagenomics 6: e76534. https://doi.org/10.3897/mbmg.6.76534
Supporting Information
Figure 2 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 2 Differences in species composition between Cucapá and the NPAsA birds B mammals C reptiles. Total difference in species composition (βjac; complete bar), proportion of the difference due to species turnover (βjtu; black portion of bar) and proportion of the difference due to nestedness (βjne; gray portion of bar).
Figure 1 from: Villegas-Patraca R, Aguilar-López JL, Hernández-Hernández JC, Muñoz-Jiménez O (2022) Diversity and conservation of terrestrial vertebrates (birds, mammals, and reptiles) of Sierra Cucapá, Mexicali, Baja California, Mexico. ZooKeys 1088: 17-39. https://doi.org/10.3897/zookeys.1088.76134
Figure 1 Location of protected natural areas in northern Baja California: government NPAs 1) Parque Nacional Constitucion de 1857, 2) Reserva de la Biosfera Alto Golfo de California y Delta del Río Colorado; Ramsar Sites 3) Humedales del Delta del Río Colorado, 4) Sistema de Humedales Remanentes del Río Colorado, 5) Laguna Hanson; Community NPAs 6) Rancho Rodeo del Rey, 7) El Doctor, and Private NPAs 8) Rancho Rodeo del Rey. * indicates the overlap zone between NPAs 2 and 3, + indicates the overlap zone between NPAs 2 and 4.
Figure 3 from: Ren L-Y, Chen Y, Yuan T-H, Huang R-X, Li M-J, Bai X-X (2022) Impatiens bijieensis (Balsaminaceae), a new species from karst plateau in Guizhou, China. PhytoKeys 192: 1-10. https://doi.org/10.3897/phytokeys.192.77517
Figure 3 Impatiens bijieensis (A–C) A flower in face view B flower in lateral view C flower dissected (Photos by X.X. Bai, in Hezhang County, 20 August 2021). Impatiens lasiophyton (D–F) D flower in face view E flower in lateral view F flower dissected (Photos by X.X. Bai, in Duyun City, 8 July 2021). Impatiens leptocaulon (G–I) G flower in face view H flower in lateral view I flower dissected (Photos by X.X. Bai, in Guiyang City, 22 June 2019).
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.