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Figs 20–23 in Longhorned woodboring beetles (Coleoptera, Cerambycidae) from Cusuco National Park, Honduras: new species, new records, and revalidation
Figs 20–23. Phrynidius guifarroi sp. nov., holotype, ♀ (RBINS 34.248). 20. Habitus, dorsal view. 21. Habitus, ventral view. 22. Habitus, lateral view. 23. Head, frontal view. Scale bars = 1.0 mm.
Figures 1–2 in Stictoleptura cordigera (Füssli, 1775) (Cerambycidae: Lepturinae: Lepturini), a new alien longhorn beetle introduced in Chile
Figures 1–2. Stictoleptura cordigera (Füssli) from Maule Region, Chile. 1) Male, dorsal habitus. 2) Female, dorsal habitus. Scale bar: 1 mm. Illustrations by Paula Fuenzalida.
Photonic amorphous I-WP networks create angle-independent colors in Sternotomis virescens longhorn beetles
<p>Datasets supporting the manuscript "Photonic amorphous I-WP-like networks create angle-independent colors in <em>Sternotomis virescens</em> longhorn beetles" (DOI: 10.1002/adfm.202302720).</p> <p>Datasets are named according to the corresponding figures and contain raw data, with data related to each panel located in sub-folders named according to the panel. Further information about the data is found in README files for the entire dataset and each folder.</p>
Dormancy in laboratory-reared Asian longhorned beetles, Anoplophora glabripennis
<p>An insect's capacity to survive winter is critical for range expansion in temperate regions. The Asian longhorned beetle (<em>Anoplophora glabripennis</em>) is a polyphagous wood-boring insect native to China and the Korean peninsula and poses a high risk of invasion in North America and Europe. It is unclear whether <em>A. glabripennis</em> enters diapause, which means that diapause cannot be included in assessments of the risk of this species invading forests in temperate regions. Using a laboratory colony, we examine larval developmental arrest, metabolic rates, gas exchange patterns, thermal sensitivity, and body composition to characterize larval dormancy. Chilled larvae entered a temperature-independent developmental arrest which usually required more than four weeks of chilling to break, decreased their metabolic rate by as much as 63 %, and maintained energy stores throughout the chilling period – results consistent with an obligate diapause. We also observed a switch to discontinuous gas exchange at low temperatures. Thermal sensitivity of metabolic rate did not differ between chilled and non-chilled larvae. Taken together, we conclude that <em>A. glabripennis</em> enters a larval diapause during chilling and terminates diapause after a requisite chilling period. These results will enhance our ability to predict phenology and potential distribution of current and future invasions of <em>A. glabripennis</em>. An insect's capacity to survive winter is critical for range expansion in temperate regions. The Asian longhorned beetle (<em>Anoplophora glabripennis</em>) is a polyphagous wood-boring insect native to China and the Korean peninsula and poses a high risk of invasion in North America and Europe. It is unclear whether <em>A. glabripennis</em> enters diapause, which means that diapause cannot be included in assessments of the risk of this species invading forests in temperate regions. Using a laboratory colony, we examine larval developmental arrest, metabolic rates, gas exchange patterns, thermal sensitivity, and body composition to characterize larval dormancy. Chilled larvae entered a temperature-independent developmental arrest which usually required more than four weeks of chilling to break, decreased their metabolic rate by as much as 63 %, and maintained energy stores throughout the chilling period – results consistent with an obligate diapause. We also observed a switch to discontinuous gas exchange at low temperatures. Thermal sensitivity of metabolic rate did not differ between chilled and non-chilled larvae. Taken together, we conclude that <em>A. glabripennis</em> enters a larval diapause during chilling and terminates diapause after a requisite chilling period. These results will enhance our ability to predict phenology and potential distribution of current and future invasions of <em>A. glabripennis</em>.</p>
Data from: The first phylogeny of Australasian Lamiinae longhorn beetles
<p>We used phylogenomic data and information from the beetle fossil record to reconstruct the phylogeny and historical biogeography of Australasian longhorn beetles (Cerambycidae) in the subfamily Lamiinae. We further focused our study on the distribution of proposed diagnostic morphological characters in Lamiinae, and on the phylogeny of <i>Rhytiphora </i>Audinet-Serville, Australia's most species-rich genus of longhorn beetles. Lamiinae was monophyletic, but the majority of tribes were poly- or paraphyletic. Within Lamiinae, we recovered four main clades, including one clade mostly comprised of Australian endemic genera of probable Gondwanan origin. This clade also contained taxa that dispersed from Australia to New Zealand and experienced multiple independent instances of wing loss. Another of the four clades contained Australian genera that colonised the region from Asia, including <i>Rhytiphora</i>. The defining feature of <i>Rhytiphora</i>, the setose "sex patches" on the male abdomen, was shared with many other Asian lamiine genera recovered in the same clade. Our results shed new light on the geographic and temporal origins of Australian Lamiinae, revealing an unexpected mixture of both ancient Gondwanan and recent Asian origins. Moreover, we confirmed rampant non-monophyly at the tribal level among the Australasian genera of Lamiinae. Based on our results, we move 17 genera into Lamiinae <i>incertae sedis</i> and six genera into the tribe Ancitini Aurivillius. We also reinstate the tribe Niphonini Pascoe for part of the Asian-Australian Pteropliini Thomson and synonymise <i>Achriotypa </i>Pascoe with <i>Rhytiphora</i>.</p>
Data from: Rhytiphora: a phylogenetic and morphological study of Australia's largest longhorn beetle genus
<p class="MsoNormal"><em><span>Rhytiphora </span></em><span>Audinet-Serville</span><span> </span><span>is the most speciose longhorn beetle (Cerambycidae) genus in Australia, with about 200 species (from nearly 40 former genera, now synonymised into one) distributed across the entire continent. We used mitochondrial genome data from whole genome shotgun sequencing and COI barcoding of museum specimens to reconstruct the phylogeny of 68 <em>Rhytiphora </em>species<em>, </em>and analyse their morphological diversity and biogeographic history. We recovered a monophyletic <em>Rhytiphora </em>containing two distinct clades, within which all of the former genera (except <em>Achriotypa</em>) are paraphyletic. Nine morphological traits (including body size and the male setose 'sex patches') show strong phylogenetic signal and can be used to differentiate between the two clades. One clade is mainly restricted to Australia's tropical north, while the other, larger clade has many species along the mesic east coast. Both clades have experienced multiple biome shifts, displaying a remarkable flexibility in habitat occupancy.</span></p>
Figure 1 in Additions To The Knowledge Of Longhorn Beetles (Coleoptera: Cerambycidae) Of The Fauna Of Latvia
Figure 1. Xylotrechus pantherinus (Savenius, 1825): A - habitus, B – habitat. Photo: A. Barševskis.
Processed data supporting the manuscript "Cutting the sap: first molecular phylogeny of twig-girdler longhorn beetles (Coleoptera: Cerambycidae: Lamiinae: Onciderini) suggests shifts in host plant attack behaviors contributed to morphological evolution"
<div><strong>Processed data supporting the manuscript: </strong>Cutting the sap: first molecular phylogeny of twig-girdler longhorn beetles (Coleoptera: Cerambycidae: Lamiinae: Onciderini) suggests shifts in host plant attack behaviors contributed to morphological evolution</div> <div> </div> <div><strong>By:</strong> Diego de S. Souza 1, 2, Rowan L. K. French 3, José O. Silva Júnior 4, Eugenio H. Nearns 5, Luciane Marinoni 4, Ian P. Swift 6, Kelly B. Miller 7, Felix A. H. Sperling 2 & Marcela L. Monné 1</div> <div> </div> <div>1 Department of Entomology, National Museum, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil.</div> <div>2 Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.</div> <div>3 Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.</div> <div>4 Department of Zoology, Federal University of Paraná, Curitiba, Paraná, Brazil.</div> <div>5 National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.</div> <div>6 California State Collection of Arthropods, Sacramento, California, USA.</div> <div>7 Department of Biology and Museum of Southwestern Biology, University of New Mexico, Albuquerque, New Mexico, USA.</div> <div> </div> <div>Corresponding author: Diego de S. Souza, dsouza@fieldmuseum.org. Current affiliation: Field Museum of Natural History, Chicago, Illinois, USA.</div> <div> </div> <div> </div> <div><strong>List of Contents: </strong></div> <div> </div> <div><strong>Onciderini_concat_matrix.phy</strong></div> <div>Concatenated matrix (cox1, Wg and CPS) used for the phylogenetic analyses of Onciderini (Coleoptera: Cerambycidae: Lamiinae: Onciderini). </div> <div> </div> <div><strong>PartitionFinder_AICc_best_scheme.txt</strong></div> <div>Results from PartitionFinder v2.1.1, containing the best partitioning scheme for the concatenated matrix of Onciderini, identified using the corrected Akaike Information Criterion (AICc), with model definitions for use in the phylogenetic analyses.</div> <div> </div> <div><strong>RAxML_Onciderini_concat_matrix (zip file)</strong></div> <div>- Onciderini_concat_matrix.phy: concatenated matrix (cox1, Wg and CPS) used in the RAxML phylogenetic analyses of Onciderini (Coleoptera: Cerambycidae: Lamiinae: Onciderini).</div> <div>- Partitions_AICc_RAxML.txt: partitioning scheme used in the RAxML analysis as predefined by PartitionFinder v2.1.1 using the corrected Akaike Information Criterion (AICc).</div> <div>- RAxML_bestTree.Onciderini_concat_matrix_ML: best-scoring maximum likelihood tree inferred by RAxML for the concatenated matrix of Onciderini.</div> <div>- RAxML_bipartitions.Onciderini_concat_matrix_final: bipartitions (clades) of the maximum likelihood tree inferred by RAxML with support values estimated from 1,000 pseudoreplicates.</div> <div>- RAxML_bipartitionsBranchLabels.Onciderini_concat_matrix_final: final maximum likelihood tree inferred by RAxML for the concatenated matrix of Onciderini, with labeled branches showing bootstrap support values.</div> <div>- RAxML_bootstrap.Onciderini_concat_matrix_bootstrap: bootstrap trees generated from a non-parametric bootstrap analysis in RAxML based on 1,000 pseudoreplicates.</div> <div>- RAxML_info.Onciderini_concat_matrix_bootstrap: log file containing details of the bootstrap analysis, including the settings and parameters used in the non-parametric bootstrap runs in RAxML.</div> <div>- RAxML_info.Onciderini_concat_matrix_final: log file summarizing the RAxML analysis, including settings and convergence statistics for the final maximum likelihood tree.</div> <div>- RAxML_info.Onciderini_concat_matrix_ML: log file containing details of the maximum likelihood tree search, including the parameters and models applied during the maximum likelihood analysis conducted by RAxML.</div> <div>- RAxML_log.Onciderini_concat_matrix_ML: log file of the maximum likelihood tree search for the concatenated matrix of Onciderini.</div> <div>- RAxML_parsimonyTree.Onciderini_concat_matrix_ML: parsimony starting tree used by RAxML during the maximum likelihood analysis for the concatenated matrix of Onciderini.</div> <div>- RAxML_result.Onciderini_concat_matrix_ML: maximum likelihood tree inferred by RAxML from the concatenated matrix of Onciderini, summarizing the tree topology and likelihood score for the best tree obtained.</div> <div> </div> <div><strong>BI_AICc_Onciderini_concat_matrix (zip file)</strong></div> <div>- BI_AICc_Onciderini_concat_matrix.nex: nexus file containing the concatenated matrix of Onciderini used for Bayesian Inference (BI), including the best-fit model scheme identified by PartitionFinder and MCMC parameters for running the analysis in MrBayes.</div> <div>- BI_AICc_Onciderini_concat_matrix.nex_r1_r2_combined_consensus.tree: consensus tree from two combined independent Bayesian Inference (BI) runs based on the concatenated matrix of Onciderini, after discarding the first 25% of initial generations as burn-in.</div> <div>- BI_AICc_Onciderini_concat_matrix.nex.run1.p: log file containing parameter values and likelihood scores from the first run of the Bayesian Inference (BI) based on the concatenated matrix of Onciderini.</div> <div>- BI_AICc_Onciderini_concat_matrix.nex.run2.p: log file containing parameter values and likelihood scores from the second run of the Bayesian Inference (BI) based on the concatenated matrix of Onciderini.</div> <div> </div> <div><strong>BEAST2_Onciderini_BD_lognormal (zip file)</strong></div> <div>- BEAUTi_Onciderini_BD_lognormal.xml: XML file generated by BEAUTi for running BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a lognormal distribution.</div> <div>- BEAST2_Onciderini_BD_lognormal_run[1-8].log: log files from eight independent runs of BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a lognormal distribution.</div> <div>- TreeAnnotator_Onciderini_BD_lognormal_run1-run8_consensus.out: TreeAnnotator output file combining the results of eight BEAST2 runs based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a lognormal distribution.</div> <div>- TreeAnnotator_Onciderini_BD_lognormal_run1-run8_consensus.tre: consensus tree from eight combined BEAST2 runs, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a lognormal distribution, after discarding the first 10% of initial generations as burn-in.</div> <div> </div> <div><strong>BEAST2_Onciderini_BD_exponential (zip file)</strong></div> <div>- BEAUTi_Onciderini_BD_exponential.xml: XML file generated by BEAUTi for running BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and an exponential distribution.</div> <div>- BEAST2_Onciderini_BD_exponential_[1-8].log: log files from eight independent runs of BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and an exponential distribution.</div> <div>- TreeAnnotator_Onciderini_BD_exponential_run1-run8_consensus.out: TreeAnnotator output file combining the results of eight BEAST2 runs based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and an exponential distribution.</div> <div>- TreeAnnotator_Onciderini_BD_exponential_run1-run8_consensus.tre: consensus tree from eight combined BEAST2 runs, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and an exponential distribution, after discarding the first 10% of initial generations as burn-in.</div> <div> </div> <div><strong>BEAST2_Onciderini_BD_uniform (zip file)</strong></div> <div>- BEAUTi_Onciderini_BD_uniform.xml: XML file generated by BEAUTi for running BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a uniform distribution.</div> <div>- BEAST2_Onciderini_BD_uniform_[1-8].log: log files from eight independent runs of BEAST2, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a uniform distribution.</div> <div>- TreeAnnotator_Onciderini_BD_uniform_run1-run8_consensus.out: TreeAnnotator output file combining the results of eight BEAST2 runs based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a uniform distribution.</div> <div>- TreeAnnotator_Onciderini_BD_uniform_run1-run8_consensus.tre: consensus tree from eight combined BEAST2 runs, based on the concatenated matrix of Onciderini, using a birth-death (BD) process model and a uniform distribution, after discarding the first 10% of initial generations as burn-in.</div> <div> </div> <div><strong>Comparative_analyses (zip file)</strong></div> <div><strong>RawData (folder):</strong> raw morphometric and girdling data, plus tree that was later pruned for downstream comparative analyses; these data were used as input for the OncidHeadDimorphism-DatasetPREP-FINAL.R data cleaning script. </div> <div>- Onciderini_BD_lognormal_run1-run8_consensus.nwk: newick version of TreeAnnotator_Onciderini_BD_lognormal_run1-run8_consensus.tre (outputted as a newick file by importing the .tre file into FigTree and exporting in newick format).</div> <div>- Measurements_Onciderini_Raw_Final.csv: individual-level raw morphometric data for Onciderini.</div> <div>- Behav_Matrix_2_states_trimmed_2022-12-15.csv: species-level data on girdling status for Onciderini species, with all Lochmaeocles species classified as girdlers (2 behavioral states across Onciderini species). </div> <div>- Matrix_3_states_trimmed_final.csv: species-level data on girdling status for Onciderini species, with all Lochmaeocles species classified as facultative girdlers (3 behavioral states across Onciderini species). </div> <div>- Matrix_2_states_trimmed_1LochGirdler_Final.csv: species-level data on girdling status for Onciderini species, with only one Lochmaeocles species (L. tessellatus) classified as a girdler (2 behavioral states across Onciderini species). </div> <div> </div> <div><strong>ProcessedData (folder): </strong>filtered data and pruned trees outputted by the OncidHeadDimorphism-DatasetPREP-FINAL.R script</div> <div>- oncid_f_36spp_clean.csv: dataset of species means and log-ratios for morphometric traits in females, plus girdling data; only includes species that have girdling data and are in the phylogenetic tree</div> <div>- oncid_m_42spp_clean.csv: dataset of species means and log-ratios for morphometric traits in males, plus girdling data; only includes species that have girdling data and are in the phylogenetic tree</div> <div>- oncid_sd_35spp_clean.csv: dataset of species means for sexual dimorphism in morphometric traits, plus girdling data; only includes species that have girdling data and are in the phylogenetic tree</div> <div>- oncid_girdlingbehav_allingroupspp_clean.csv: full dataset of girdling behavior for 56 Onciderini species that are in the phylogenetic tree; includes separate columns for the three alternative girdling classification schemes</div> <div>- oncid_tree_behavfull_56spp.nwk: pruned phylogenetic tree for the full girdling dataset (56 species)</div> <div>- oncid_tree_f_36spp.nwk: pruned phylogenetic tree for the female morphometric dataset (36 species)</div> <div>- oncid_tree_m_42spp.nwk: pruned phylogenetic tree for the male morphometric dataset (42 species)</div> <div>- oncid_tree_mf_43spp.nwk: pruned phylogenetic tree for all species with morphometric data for males or females; used for the stochastic character map next to the heatmap plot (Fig 4)</div> <div>- oncid_tree_sd_35spp.nwk: pruned phylogenetic tree for the sexual dimorphism dataset (35 species)</div> <div> </div> <div><strong>FittedModels (folder): </strong>fitted models (mvgls, model comparison analyses, OUM models, simmaps) outputted by the OncidHeadDimorphism-Analysis-FINAL.R script </div> <div>- MacroModelFits_logRtraits_f_36spp-2024-10-12.Rdata: summary of model comparison results for Brownian Motion (BM), single-peak Ornstein-Uhlenbeck (OU), multipeak OU (OUM), and multi-rate Brownian motion (BMM) models (univariate and multivariate) fitted to female morphometric data across 100 stochastic character maps of girdling behavior</div> <div>- MacroModelFits_logRtraits_m_42spp-2024-10-12.Rdata: summary of model comparison results for Brownian Motion (BM), single-peak Ornstein-Uhlenbeck (OU), multipeak OU (OUM), and multi-rate Brownian motion (BMM) models (univariate and multivariate) fitted to male morphometric data across 100 stochastic character maps of girdling behavior</div> <div>- MacroModelFits-SDDI-35spp_2024-10-11.Rdata: summary of model comparison results for Brownian Motion (BM), single-peak Ornstein-Uhlenbeck (OU), multipeak OU (OUM), and multi-rate Brownian motion (BMM) models (univariate and multivariate) fitted to sexual dimorphism data across 100 stochastic character maps of girdling behavior</div> <div>- mvgls-results-headsize-mf-2024-10-12.Rdata: fitted mvgls regression models for male and female traits (analyzed separately)</div> <div>- mvgls-results-sddi-2024-10-12.Rdata: fitted mvgls regression models for sexual dimorphism</div> <div>- OUM_headtraits_f_36spp-2024-10-12.Rdata: fitted OUM models and summary statistics for female head traits</div> <div>- OUM_headtraits_m_42spp-2024-10-12.Rdata: fitted OUM models and summary statistics for male head traits</div> <div>- OUM-SDDI-35spp-2024-10-12.Rdata: fitted OUM models and summary statistics for sexual dimorphism in head traits</div> <div>- simmaps_ard_full_2state.RDS: stochastic character maps of girdling behaviour for all 56 species with girdling data, with two behavioral states (girdling or non-girdling) - all Lochmaeocles species are classified as girdlers</div> <div>- simmaps_ard_full_3state.RDS: stochastic character maps of girdling behaviour for all 56 species with girdling data, with three behavioral states (girdling, non-girdling, or facultative girdling)</div> <div>- simmaps_ard_full_1Loch.RDS: stochastic character maps of girdling behaviour for all 56 species with girdling data, with two behavioral states (girdling or non-girdling) - only one Lochmaeocles species (L. tessellatus) is classified as a girdler</div> <div>- simmaps_ard_m.RDS: stochastic character map for the 42 species used in the analyses of male morphometric traits</div> <div>- simmaps_ard_f.RDS: stochastic character map for the 36 species used in the analyses of female morphometric traits</div> <div>- simmaps_ard.RDS: stochastic character map for the 35 species used in the sexual dimorphism analyses; 2 behavioral states.</div> <div> </div> <div><strong>Rscripts (folder): </strong>R scripts used to process data and run phylogenetic comparative analyses of head size and girdling behavior.</div> <div>- OncidHeadDimorphism-DatasetPREP-FINAL.R: R script used to filter data and prune trees from the RawData folder for downstream phylogenetic comparative analyses; outputs of this script are in the ProcessedData folder.</div> <div>- OncidHeadDimorphism-Analysis-FINAL.R: R script used to analyze data in the ProcessedData folder to answer questions about the origin and evolution of girdling behavior and the relationship between girdling and head size or head size sexual dimorphism; fitted models outputted by this script are in the FittedModels folder</div> <div>- OncidHeadDimorphism-Plots-FINAL.R: R script used to generate plots for the manuscript<br><br></div>
Figure 3 in Stictoleptura cordigera (Füssli, 1775) (Cerambycidae: Lepturinae: Lepturini), a new alien longhorn beetle introduced in Chile
Figure 3. Collection site (Maule Region) of Stictoleptura cordigera in central Chile.
Dormancy in laboratory-reared Asian longhorned beetles, Anoplophora glabripennis
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Data from: Rhytiphora: a phylogenetic and morphological study of Australia’s largest longhorn beetle genus
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Data from: macroevolutionary patterns behind a classic case of coevolution: uncovering the evolution of milkweed longhorn beetles Tetraopes, Cerambycidae
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Data from: The first phylogeny of Australasian Lamiinae longhorn beetles
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FIGURES 54–60. 54 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 54–60. 54. Nedine subspinosa Wang & Chiang, 1999 (a, holotype; b. labels). 55. Nupserha fuscodorsalis Wang & Chiang, 2002 (a, holotype; b. labels). 56. Nyctimenius chiangi Huang, Chen & Liu, 2014 (a, holotype; b. labels). 57. Oberea fingeriventris Wang, Chiang & Zheng, 2002 (a, holotype, dorsal view; b. lateral view; c. labels). 58. Oberea pseudoformosana Li, Cuccodoro & Chen, 2014 (a, holotype; b. labels). 59. Parachydaeopsis shaanxiensis Wang & Chiang, 2002 (a, holotype; b. labels). 60. Paraglenea nigromaculata Wang & Chiang, 2002 (a, holotype; b. labels).
FIGURES 46–53. 46 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 46–53. 46. Euseboides reni Huang, Chen & Li, 2015 (a, holotype; b. labels). 47. Gibbohammus stricticollis Wang & Chiang, 1999 (a, holotype; b. labels). 48. Ioesse medogensis Chiang & Chen, 1992 (a, holotype; b. labels). 49. Moechohecyra arctifera Wang & Chiang, 2002 (a, holotype; b. labels). 50. Moechotypa nigricollis Wang & Chiang, 2000 (a, holotype; b. labels). 51. Moechotypa tuberculicollis Wang & Chiang, 2000 (a, holotype; b. labels). 52. Nanohammus yunnana Wang & Chiang, 2000 (a, holotype; b. labels). 53. Nedine sparatis Wang & Chiang, 1999 (a, holotype; b. labels).
FIGURES 34–39. 34 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 34–39. 34. Epania gressitti Huang, Chen & Cai, 2014 (a, holotype; b. labels). 35. Meiyingia jinyunensis Li & Chen, 2015 (a, holotype; b. labels). 36. Merionoeda (Macromolorchus) splendida Chiang, 1981 (a, holotype; b. labels). 37. Xylotrechus lateralis fracturis Guo & Chen, 2002 (a, holotype; b. labels). 38. Xylotrechus quattuordecim Guo & Chen, 2002 (a, holotype; b. labels). 39. Yoshiakioclytus qiaoi Huang & Chen, 2016 (a, holotype; b. labels).
FIGURES 15–20. 15. Encyclops x in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 15–20. 15. Encyclops x-signata Chiang, 1981 (a, holotype; b. labels). 16. Eustrangalis latericollis Wang & Chiang, 1994 (a, holotype; b. labels). 17. Gaurotina nigroantenata Chen & Chiang, 2000 (a, holotype; b. labels). 18. Gnathostrangalia elliptica Chen & Chiang, 1996 (a, holotype; b. labels). 19. Gnathostrangalia simianshana Chiang & Chen, 1993 (a, holotype; b. labels). 20. Pedostrangalia (Pedostrangalia) quadrimaculata Chen & Chiang, 1996 (a, holotype; b. labels).
FIGURES 27–33. 27 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 27–33. 27. Acrocyrtidus simianshanensis Chiang & Chen, 1994 (a, holotype; b. labels). 28. Artimpaza brevilineata Tian & Chen, 2012 (a, holotype; b. labels). 29. Calloides yunnanensis Zhang & Chen, 2006 (a, holotype; b. labels). 30. Chloridolum (Chloridolum) tonguanum Chiang, 1981 (a, holotype; b. labels). 31. Demonax fugongensis Guo & Chen, 2005 (a, holotype; b. labels). 32 Demonax proculscuti Li, Tian & Chen, 2013 (a, holotype; b. labels). 33. Demonax rufus Guo & Chen, 2005 (a, holotype; b. labels).
FIGURES 1–8. 1 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 1–8. 1. Distenia dissimilis Chiang & Wu, 1987 (a, holotype; b. labels). 2. Distenia notabilis Chiang & Wu, 1987 (a, holotype; b. labels). 3. Distenia picea Chiang & Wu, 1987 (a, holotype; b. labels). 4. Distenia punctulata Chiang & Wu, 1987 (a, holotype; b. labels). 5. Distenia stenola Chiang & Wu, 1987 (a, holotype; b. labels). 6. Distenia tricostata Chiang & Wu, 1987 (a, holotype; b. labels). 7. Distenia wolongensis Chiang & Wu, 1987 (a, holotype; b. labels). 8. Typodryas brunnicollis Chiang & Wu, 1987 (a, holotype; b. labels).
FIGURES 9–11. 9 in Primary types of longhorned beetles (Coleoptera, Cerambycidae, Vesperidae and Disteniidae) of Southwest University (SWU)
FIGURES 9–11. 9. Heterophilus dentitibialis Chiang, Chen & Zhang, 1996 (a, holotype; b. labels). 10. Heterophilus punctulatus Chiang, Chen & Zhang, 1996 (a, holotype; b. labels). 11. Mantitheus taiguensis Wu & Chiang, 2000 (a, holotype; b. labels).
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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.
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.