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FIGURE 3 in The ontogeny of morphological traits in three European species of Cosmochthonius Berlese, 1910 (Acari: Oribatida: Cosmochthoniidae)
FIGURE 3. Cosmochthonius reticulatus, adult, anogenital region, legs partially drawn, scale bar 50 μm.
FIGURE 2 in The ontogeny of morphological traits in three European species of Cosmochthonius Berlese, 1910 (Acari: Oribatida: Cosmochthoniidae)
FIGURE 2. Cosmochthonius reticulatus, adult. (A) Notogaster, cerotegument removed, scale bar 50 μm; (B) fragment of pygidium.
FIGURE 6. Cosmochthonius reticulatus, scale bars 50 in The ontogeny of morphological traits in three European species of Cosmochthonius Berlese, 1910 (Acari: Oribatida: Cosmochthoniidae)
FIGURE 6. Cosmochthonius reticulatus, scale bars 50 μm. (A) Anal region of larva; (B) anogenital region of tritonymph.
Dataset for Quantitative Trait Loci Associated with Lodging in Dry Field Peas. Data for PR Population (Carerra x Striker).
<p>Dataset for Quantitative Trait Loci Associated with Lodging in Dry Field Peas. Data for PR Population (Carerra x Striker). Here is data on lodging, height, stem diameter, side branch diameter, and epicotyl diameter for both site years with the PR population.</p>
Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas, All SNP markers
<p>Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas. All SNP markers were included in the dataset. U designates a missing datapoint. The data was not inputed.</p>
Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas with data for 330 markers
<p>Dataset for Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas with data for 330 markers. This dataset is associated with the dissertation entitled, Quantitative Trait Loci Associated with Lodging, Stem Strength, Yield, and Other Important Agronomic Traits in Dry Field Peas.</p>
Data and code for "Large language models identify causal genes in complex trait GWAS"
<p><span>This file contains the data and scripts for the preprint "Large language models identify causal genes in complex trait GWAS"</span></p>
Atlantic reef fishes: distributions and life-history traits
<p><strong>(All information expressed below is also available in the "read me" text file.)</strong></p> <p> </p> <p><strong>Atlantic reef fishes: distributions and life-history traits </strong></p> <p>Upload date: September 3rd, 2024 DOI for all versions: 10.5281/zenodo.13655553</p> <p><strong> </strong></p> <p>Isadora Cord¹*, Sergio R. Floeter¹*,**, Gabriel S. Araujo², Juan P. Quimbayo³, D. Ross Robertson⁴, Benjamin C. Victor⁵, Peter Wirtz⁶, Hudson T. Pinheiro², Rui Freitas⁷, Luiz A. Rocha⁸ </p> <p>* joint first authors; ** corresponding author <sergiofloeter@gmail.com></p> <p><strong> </strong></p> <p>¹Marine Macroecology and Biogeography Lab, Universidade Federal de Santa Catarina, Brazil</p> <p>²Center for Marine Biology, University of São Paulo, São Sebastião, SP, Brazil</p> <p>³University of Florida, USA</p> <p>⁴Smithsonian Tropical Research Institute, Panama</p> <p>⁵Ocean Science Foundation, USA</p> <p>⁶Centro de Ciências do Mar, Universidade do Algarve, Portugal</p> <p>⁷Universidade Técnica do Atlântico, Cabo Verde</p> <p>⁸California Academy of Sciences, San Francisco, CA, USA</p> <p> </p> <p><strong>Introduction to the First Edition</strong></p> <p>This database includes information on the distribution and life-history traits for 1,628 reef fish species, distributed across 26 sub-provinces of the tropical, sub-tropical, and warm temperate Atlantic Ocean. We followed the definition provided by Floeter et al. (2008) for “reef fish,” including any shallow (<100 m) tropical/subtropical benthic or benthopelagic fishes that consistently associate with hard substrates of coral, algal, or rocky reefs, or occupy adjacent sand substrate. All distributions were verified by the authors, double-checked with online databases, and available literature (peer-reviewed regional checklists and scientific papers; see main refs). Life-history traits were compiled for most species by using a combination of personal data, online databases (e.g. Froese & Pauly, 2023; Robertson & Van Tassell, 2023), and published sources (e.g. Luiz et al. 2015; Pinheiro et al. 2018; Quimbayo et al. 2021).</p> <p>This database is associated with the manuscript Cord et al. (<em>in prep.</em>) “Biogeography and evolution of reef fishes on tropical Mid-Atlantic Ridge islands,” and represents an update that has been in development for 16 years, based on Floeter et al. (2008) “Atlantic reef fish biogeography and evolution”.</p> <p><strong> </strong></p> <p><strong>Data Description:</strong></p> <p>The .xlsx database contains two pages, “traits&distributions” and “acronyms”. The “acronyms” page contains the same table that is available below, as well as a map illustrating the studied areas. The “traits&distributions” page is divided into the following columns:</p> <p><strong> "A" through "D"</strong>: Species’ identification</p> <p>species = the complete species names, in the following pattern: “Genus_specific epithet”, e.g. “Acanthurus_bahianus”</p> <p>family, genus = self explanatory</p> <p>spp = specific epithet</p> <p> <strong> "E" through "AD"</strong>: Distributions</p> <p><strong> </strong></p> <div> <table> <tbody> <tr> <td> <p><strong>Region</strong></p> </td> <td> <p><strong>Sub-provinces</strong></p> </td> <td> <p><strong>Geographical definition</strong></p> </td> <td> <p><strong>Acronym</strong></p> </td> </tr> <tr> <td> <p>Western Atlantic </p> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Greater Caribbean</p> </td> <td> <p>Carolinian</p> </td> <td> <p>North Carolina State to Mérida (México)</p> </td> <td> <p>CA</p> </td> </tr> <tr> <td> </td> <td> <p>Bermuda</p> </td> <td> <p>Bermuda Is.</p> </td> <td> <p>BE</p> </td> </tr> <tr> <td> </td> <td> <p>Central Caribbean</p> </td> <td> <p>Central America and offshore islands (except mentioned elsewhere), Florida Keys</p> </td> <td> <p>CC</p> </td> </tr> <tr> <td> </td> <td> <p>Southern Caribbean</p> </td> <td> <p>Panamá to Trinidad and Tobago</p> </td> <td> <p>SC</p> </td> </tr> <tr> <td> <p>Southwestern Atlantic</p> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Brazilian Province</p> </td> <td> <p>North Brazil</p> </td> <td> <p>Great Amazon Reef</p> </td> <td> <p>NB</p> </td> </tr> <tr> <td> </td> <td> <p>Northeastern Brazil</p> </td> <td> <p>Rio Grande do Norte to Southern Bahia State</p> </td> <td> <p>NE</p> </td> </tr> <tr> <td> </td> <td> <p>Southeastern Brazil</p> </td> <td> <p>Espírito Santo to Paraná States</p> </td> <td> <p>SE</p> </td> </tr> <tr> <td> </td> <td> <p>South Brazil</p> </td> <td> <p>Santa Catarina State</p> </td> <td> <p>SB</p> </td> </tr> <tr> <td> <p>Brazilian oceanic islands</p> </td> <td> <p>Rocas Atoll</p> </td> <td> </td> <td> <p>AR</p> </td> </tr> <tr> <td> </td> <td> <p>Fernando de Noronha</p> </td> <td> </td> <td> <p>FN</p> </td> </tr> <tr> <td> </td> <td> <p>Trindade Is.</p> </td> <td> </td> <td> <p>TR</p> </td> </tr> <tr> <td> <p>Warm-temperate Argentinian Province</p> </td> <td> <p>Argentinian </p> </td> <td> <p>Rio Grande do Sul State, from Uruguay to Patagonia</p> </td> <td> <p>PT</p> </td> </tr> <tr> <td> <p>Mid-Atlantic Ridge</p> </td> <td> <p>St Paul’s Rocks</p> </td> <td> </td> <td> <p>SP</p> </td> </tr> <tr> <td> </td> <td> <p>Ascension</p> </td> <td> </td> <td> <p>AS</p> </td> </tr> <tr> <td> </td> <td> <p>St Helena</p> </td> <td> </td> <td> <p>SH</p> </td> </tr> <tr> <td> <p>Eastern Atlantic</p> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> <p>Northeastern Atlantic</p> </td> <td> <p>Mediterranean</p> </td> <td> <p>Levant to Gibraltar </p> </td> <td> <p>MD</p> </td> </tr> <tr> <td> <p>Lusitana</p> </td> <td> <p>Azores</p> </td> <td> </td> <td> <p>AZ</p> </td> </tr> <tr> <td> </td> <td> <p>Madeira</p> </td> <td> </td> <td> <p>MA</p> </td> </tr> <tr> <td> </td> <td> <p>Canaries</p> </td> <td> </td> <td> <p>CN</p> </td> </tr> <tr> <td> <p>Tropical Eastern Atlantic</p> </td> <td> <p>Northwest Africa</p> </td> <td> <p>Gibraltar to Cape Verde (Senegal)</p> </td> <td> <p>NT</p> </td> </tr> <tr> <td> </td> <td> <p>Cape Verde Is.</p> </td> <td> </td> <td> <p>CV</p> </td> </tr> <tr> <td> </td> <td> <p>São Tomé & Príncipe</p> </td> <td> <p>Includes Annobon</p> </td> <td> <p>ST</p> </td> </tr> <tr> <td> </td> <td> <p>Tropical West Africa</p> </td> <td> <p>Cape Verde to Moçamedes (Angola)</p> </td> <td> <p>EA</p> </td> </tr> <tr> <td> <p>Southwest Africa</p> </td> <td> <p>Benguela</p> </td> <td> <p>Moçamedes to Cape of Good Hope</p> </td> <td> <p>BN</p> </td> </tr> <tr> <td> </td> <td> <p>Agulhas</p> </td> <td> <p>Cape of Good Hope to Kei River</p> </td> <td> <p>CP</p> </td> </tr> <tr> <td> <p>Southwestern Indian Ocean</p> </td> <td> <p>South Africa’s Indian Ocean</p> </td> <td> <p>From Kei River to Kosi Bay</p> </td> <td> <p>IO</p> </td> </tr> </tbody> </table> </div> <p><strong> </strong></p> <p> "<strong>AE" through "AK"</strong>: Life-history traits</p> <p>“depth_max” = Maximum recorded depth, in meters.</p> <p>“bodysize_max” = Maximum recorded adult body size, in centimeters.</p> <p>“rafter” = Presence (1) or absence (0) of rafting behavior (mostly for the entire genus).</p> <p>“multihabitat” = Usage of other habitats in addition to structural reefs (soft bottoms, seagrass/macroalgae beds, mangroves, and estuaries).</p> <p>“diet” = Diet habits (gc: generalised carnivores; hd: herbivores/detritivores; is: sessile invertivores; mi: mobile invertivores; om: omnivores; pk: planktivores).</p> <p>“groupsize” = Sociability (sol: solitary; pair: pairs of two individuals; smallg: groups of 3 to 10 individuals; medg: groups of 10 to 20 individuals; largeg: groups of over 20 individuals).</p> <p>“spawning” = Spawning modes (att: attached; dem: demersal; live: livebearers; oral: oral; pel: pelagic).</p> <p><strong> </strong></p> <p><strong>Data Sources and Verification:</strong></p> <p>We gathered presence or absence data for 73 families of reef-associated fishes, encompassing 1,637 species in 26 distinct biogeographical units within the Atlantic Basin (see table above). All distributions were strictly verified by the authors, double-checked with online databases and available literature (e.g. Brown et al. 2019; Freitas et al. 2019; Floeter et al. 2023; Pinheiro et al. 2020; Robertson & Van Tassell, 2023; Wirtz et al. 2017). Life-history traits were compiled using personal data, online databases (e.g. Froese & Pauly, 2023; Robertson & Van Tassell, 2023), and published sources (e.g. Luiz et al. 2015; Pinheiro et al. 2018; Quimbayo et al. 2021). All species’ nomenclature was based on Eschmeyer's Catalog of Fishes (Fricke et al. 2024). </p> <p><strong> </strong></p> <p><strong>Main References:</strong></p> <p>Brown, J., Beard, A., Clingham, E., Fricke, R., Henry, L., & Wirtz, P. (2019). The fishes of St Helena Island, central Atlantic Ocean—new records and an annotated checklist. Zootaxa, 4543(2), 151-194.</p> <p>Freitas, R., Romeiras, M., Silva, L., Cordeiro, R., Madeira, P., González, J.A., Wirtz, P., Falcón, J.M., Brito, A., Floeter, S.R., Afonso, P., Porteiro, F., Viera-Rodríguez, M.A., Neto, A.I., Haroun, R., Farminhão, J.N.M., Rebelo, A.C., Baptista, L., Melo, C.S., Martínez, A., Núñez, J., Berning, B., Johnson, M.E. & Ávila, S.P. (2019). Restructuring of the 'Macaronesia' biogeographic unit: A marine multi-taxon biogeographical approach. Scientific Reports, 9: 15792.</p> <p>Fricke, R., Eschmeyer, W. N. & Fong, J. D. (2024 ). ESCHMEYER'S CATALOG OF FISHES: GENERA/SPECIES BY FAMILY/SUBFAMILY.(http://researcharchive.calacademy.org/research/ichthyology/catalog/ SpeciesByFamily.asp). Electronic version accessed 03 September 2024.</p> <p>Floeter, S.R., Krajewski, J.P., Fiuza, T.M.J., Rocha, L.A. & Carvalho-Filho, A. (2023). Brazilian Reef Fishes. Editora CRV, Curitiba, pp. 320.ISBN 978-65-251-4245-6. DOI: 10.24824/978652514245.6</p> <p>Floeter, S. R., Rocha, L. A., Robertson, D. R., Joyeux, J. C., Smith-Vaniz, W. F., Wirtz, P., Edwards, A. J., Barreiros, J. P., Ferreira, C. E. L., Gasparini, J. L., Brito, A., Falcón, J. M., Bowen, B. W. & Bernardi, G. (2008). Atlantic reef fish biogeography and evolution. Journal of Biogeography, 35: 22-47.</p> <p>Froese R, Pauly D (Eds) (2023) FishBase. [Version 06/2023] http://www.fishbase.org </p> <p>Luiz, O. J., Madin, J. S., Robertson, D. R., Rocha, L. A., Wirtz, P., & Floeter, S. R. (2012). Ecological traits influencing range expansion across large oceanic dispersal barriers: insights from tropical Atlantic reef fishes. Proceedings of the Royal Society B: Biological Sciences, 279(1730), 1033-1040.</p> <p>Munroe, T. A. (1990). Eastern Atlantic tonguefishes (Symphurus: Cynoglossidae, Pleuronectiformes), with descriptions of two new species. Bulletin of Marine Science, 47(2), 464-515.</p> <p>Munroe, T. A. (1991). Western Atlantic Tonguefishes of the Symphurus-Plagusia Complex (Cynoglossidae, Pleuronectiformes), with Descriptions of 2 New Species. Fishery Bulletin.</p> <p>Pinheiro, H. T., Rocha, L. A., Macieira, R. M., Carvalho‐Filho, A., Anderson, A. B., Bender, M. G., ... & Floeter, S. R. (2018). South‐western Atlantic reef fishes: Zoogeographical patterns and ecological drivers reveal a secondary biodiversity centre in the Atlantic Ocean. Diversity and Distributions, 24(7), 951-965.</p> <p>Pinheiro, H. T., Macena, B. C., Francini‐Filho, R. B., Ferreira, C. E., Albuquerque, F. V., Bezerra, N. P., ... & Rocha, L. A. (2020). Fish biodiversity of Saint Peter and Saint Paulʼs Archipelago, Mid‐Atlantic Ridge, Brazil: new records and a species database. Journal of Fish Biology, 97(4), 1143-1153.</p> <p>Quimbayo, J.P., Silva, F.C., Mendes, T.C., Ferrari, D.S., Danielski, S.L., Bender, M.G., Parravicini, V., Kulbicki, M. & Floeter, S.R. (2021). Life-history traits, geographical range and conservation aspects of reef fishes from the Atlantic and Eastern Pacific. Ecology (Data Papers), https://doi.org/10.1002/ecy.3298.</p> <p>Robertson, D. R., & Tornabene, L. (2023). Reef-associated Bony Fishes of the Greater Caribbean: A Checklist (VERSION 5). https://zenodo.org/records/10225031</p> <p>Robertson, D. R., & Van Tassell, J. (2023). Shorefishes of the Greater Caribbean: online information system. Version 3.0 Smithsonian Tropical Research Institute, Balboa, Panamá.</p> <p>Wirtz, P., Bingeman, J., Bingeman, J., Fricke, R., Hook, T. J., & Young, J. (2017). The fishes of Ascension Island, central Atlantic Ocean–new records and an annotated checklist. Journal of the Marine Biological Association of the United Kingdom, 97(4), 783-798.</p> <p><strong> </strong></p> <p><strong>Additional details:</strong></p> <p>Related works Cord et al. (<em>in prep.</em>) and Floeter et al. (2008)</p> <p> Cord, I., Araujo, G. S., Silva, F. C., Kurtz, Y. R., Rocha, C. R., Pinheiro, H. T., Rocha, L. A. & Floeter, S. R. (<em>in prep.</em>). Biogeography and evolution of reef fishes on tropical Mid-Atlantic Ridge islands.</p> <p>Floeter, S. R., Rocha, L. A., Robertson, D. R., Joyeux, J. C., Smith-Vaniz, W. F., Wirtz, P., Edwards, A. J., Barreiros, J. P., Ferreira, C. E. L., Gasparini, J. L., Brito, A., Falcón, J. M., Bowen, B. W. & Bernardi, G. (2008). Atlantic reef fish biogeography and evolution. Journal of Biogeography, 35: 22–47.</p> <p> </p>
Data from: Adaptive trait divergence of annual plants in response to urban habitat diversity in a megacity
<p>Data from the common garden experiment, field environmental factors, and data for Qst-Fst comparisons.</p>
Buffering and non-monotonic behavior of gene dosage response curves for human complex traits
<p>Please refer to the DATA.pdf file for details.</p>
R code and data for "Intraspecific and intraindividual trait variability decrease with tree species richness in a subtropical tree diversity experiment"
<p>R codes and dataset for tha statistical analyses and production of figures in "Intraspecific and intraindividual trait variability decrease with tree species richness in a subtropical tree diversity experiment" by Castro Sánchez-Bermejo et al.</p>
Global Invasive and Alien Traits and Records (GIATAR) dataset
<p>Monitoring and managing the global spread of invasive and alien species requires accurate spatiotemporal records of species presence and information about the biological characteristics of species of interest including life cycle information, biotic and abiotic constraints and pathways of spread. The Global Invasive and Alien Traits And Records (GIATAR) dataset provides consolidated dated records of invasive and alien presence at the country-scale combined with a suite of biological information about pests of interest in a standardized, machine-readable format. We provide dated presence records for 46,666 alien taxa in 249 countries constituting 827,300 country-taxon pairs, joined with additional biological information for thousands of taxa. GIATAR is designed to be quickly updateable with future data and easy to integrate into ongoing research on global patterns of alien species movement using scripts provided to query and analyze data. </p> <p>This publication includes:</p> <ul> <li>GIATAR dataset files (dataset)</li> <li>Functions in Python and R to join tables and query data (query_functions)</li> <li>Tutorials and example queries in Python and R (tutorials)</li> </ul> <p>For more information, please refer to the publication:</p> <div> <div>Saffer, Ariel, Thom Worm, Yu Takeuchi, and Ross Meentemeyer. “GIATAR: A Spatio-Temporal Dataset of Global Invasive and Alien Species and Their Traits.” <em>Scientific Data</em> 11, no. 1 (September 11, 2024): 991. <a href="https://doi.org/10.1038/s41597-024-03824-w">https://doi.org/10.1038/s41597-024-03824-w</a>.</div> <div> </div> <div>Changes in this version (September 15, 2025):</div> <div> <ul> <li>Latest records as of September 8, 2025</li> </ul> </div> <div>For continuous updates to code, please refer to our Github repository: https://github.com/ncsu-landscape-dynamics/GIATAR-dataset</div> </div>
Dataset for: Heat wave-induced microbial thermal trait adaptation and its reversal in the Subarctic
<p>Climate change predictions suggest that arctic and subarctic ecosystems will be particularly affected by rising temperatures and extreme weather events, including severe heat waves. Temperature is one of the most important environmental factors controlling and regulating microbial decomposition in soils; therefore, it is critical to understand its impact on soil microorganisms and their feedback to climate warming. We conducted a warming experiment in a subarctic birch forest in North Sweden to test the effects of summer heat waves on the thermal trait distributions that define the temperature dependencies for microbial growth and respiration. We also determined the microbial temperature dependences 10 and 12 months after the heat wave simulation had ended to investigate the persistence of the thermal trait shifts. As a result of warming, the bacterial growth temperature dependence shifted to become warm-adapted, with a similar trend for fungal growth. For respiration, there was no shift in the temperature dependence. The shifts in thermal traits were not accompanied by changes in α- or β-diversity of the microbial community. Warming increased the fungal-to-bacterial growth ratio by 33% and decreased the microbial carbon use efficiency (CUE) by 35%, and both these effects were caused by the reduction in moisture the warming treatments caused, while there was no evidence that substrate depletion had altered microbial processes. The warm-shifted bacterial thermal traits were partially restored within one winter but only fully recovered to match ambient conditions after one year. To conclude, summer heat waves in the Subarctic resulted in (i) shifts in microbial thermal trait distributions; (ii) lower microbial process rates caused by decreased moisture, not substrate depletion; and (iii) no detectable link between the microbial thermal trait shifts and community composition changes. </p>
FIGURE 4. Morphological traits. A in Molecular evidence of the taxonomic status of western Mexican populations of Phaethornis longirostris (Aves: Trochilidae)
FIGURE 4. Morphological traits. A) Scatter plot of a PCA including morphometric measurements of the Mexican taxa of P. longirostris 'sensu lato'. B) Series of specimens representing the three Mexican subspecies of P. longirostris 'sensu lato'. Individuals from western Mexico (P. l. griseoventer and P. l. mexicanus) are characterized by larger tails with white tips to the outer rectrices, whereas those from eastern Mexico (P. l. longirostris) have shorter tails and some degree of rusty buff (varying from slight to heavy), excepting the last individual for which those tail feathers are lost. Note that an individual from Jalisco (third from left to right) shows a plumage similar to P. l. mexicanus but mtDNA haplotypes of P. l. griseoventer.
Fig. 1 in Some Traits of the Biology and Epigean Behavior of Sisyphus schaefferi (Linnaeus) (Coleoptera: Scarabaeidae: Scarabaeinae: Sisyphini)
Fig. 1. Scatter plot for live body weight as a function of body length of mating and non-mating adult Sisyphus schaefferi (n = 315) observed in La Mandria Regional Park, Italy, during 2017.
Figs. 16–26. Ideorhipistena occipitalis n. g., n in A New Mordellid Genus With Rhipiphoroid Traits (Coleoptera: Mordellidae) , ,
Figs. 16–26. Ideorhipistena occipitalis n. g., n. sp.—Holotype male. 16) 8th introflected urosternum, ventrally; 17) 9th introflected urosternum. with hemipleurites, ventrally; 18) tubular process of phallobase; 19) penis, dorsally; 20) same, tip; 21) phallobase with parameres attached, laterally from right; 22) same, turned 90° to left, ventral view; 23) left paramere; 24) same, turned 90° to left; 25) right paramere; 26) same, turned 90° to right. Scales in mm.
Fig. 1. Ideorhipistena occipitalis n. g., n in A New Mordellid Genus With Rhipiphoroid Traits (Coleoptera: Mordellidae) , ,
Fig. 1. Ideorhipistena occipitalis n. g., n. sp. Artist's view of habitus, male holotype. Scale = 1 mm.
Fig. 2. Ideorhipistena occipitalis n. g., n in A New Mordellid Genus With Rhipiphoroid Traits (Coleoptera: Mordellidae) , ,
Fig. 2. Ideorhipistena occipitalis n. g., n. sp. Lateral view, from left (diagrammatic), to show the unusual shape of prothorax and the articulation head/prothorax. Holotype male (HC = humeral callus; ME = metepicoxa). Scale = 1 mm.
Figs. 3–15. Ideorhipistena occipitalis n. g., n in A New Mordellid Genus With Rhipiphoroid Traits (Coleoptera: Mordellidae) , ,
Figs. 3–15. Ideorhipistena occipitalis n. g., n. sp.—Holotype male. 3) Left metatibia and metatarsus, laterally; 4) right protarsus (preprotarsal claws missin on both sides); 5) right mesotibia and mesotarsus; 6) first eight right antennomeres (antennomeres 9th to 11th missing in the holotype); 7) right maxillary palpus; 8) right labial palpus; 9) head, from occiput (GE = genae, TE = temples' edge); 10) frontal view of occipital side of head, pronotum (to show medial groove), elytral humeral calli (HC) projecting beyond dorsal margin of pronotum; 11) lateral view from left of head, to show well developed temples; 12) scutellum; 13) metacoxal process; 14) metepisternum and elytral epipleuron, left, laterally; 15) inner premetatarsal claw. Scales in mm.
Fig. 3 in Vision-Linked Traits Associated With Antenna Size and Foraging Ecology Across Ants
Fig. 3. Mapped lateral eye positions according to ecology. Species indicated by circles, squares represent mean values for ecological binnings. (A) Eye position, both dorsoventral and anteroposterior, mapped on a theoretical ant head. Colors are indicative of foraging niche. (B) Eye position measurements with colors indicating trophic level. Illustrated head proportions based on ratio of mean head length and depth in lateral view across taxa sampled; head length is approximately 40% greater than head depth in profile view on average.
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.
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.