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FIGURE 10 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 10. Apterolarnaca (Bianigryllacris) xinganensis sp. nov.. Female: A. head in frontal view; B–C. head and pronotum: B. dorsal view, C. lateral view; D. second and third abdominal tergites with stridulatory in lateral view; E. apex of abdomen in lateral view; F. left hind femur in lateral view; G. subgenital plate in ventral view.
FIGURE 4 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 4. Female of Apterolarnaca (Apterolarnaca) truncatoloba (Li & Liu, 2015) from Damingshan, Guangxi.
FIGURE 9 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 9. Apterolarnaca (Bianigryllacris) xinganensis sp. nov.. Male: A. head in frontal view; B–C. head and pronotum: B. dorsal view, C. dorsal and lateral view; D. second and third abdominal tergites with stridulatory pegs in lateral view; E–I. apex of abdomen: E–F. lateral view, G. dorsal view, H. ventral and slightly apical view, I. ventral view; J–K. left hind femur: J. external view, K. internal view.
FIGURE 3 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 3. Apterolarnaca (Apterolarnaca) truncatoloba (Li & Liu, 2015). Female from Jiuwanshan, Guangxi: A. head in frontal view; B–C. head and pronotum: B. dorsal view, C. lateral view; D. second and third abdominal tergites with stridulatory pegs in lateral view; E. hind femur in lateral view; F. apex of abdomen in lateral view; G. subgenital plate in ventral view.
FIGURE 2 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 2. Apterolarnaca (Apterolarnaca) truncatoloba (Li & Liu, 2015). Male: A. head in frontal view; B–C. head and pronotum: B. dorsal view, C. lateral view; D–H. apex of abdomen: D. ventral and lateral view, E. apical and slightly dorsal view, F. apical and ventral view, G. ventral view, H. lateral view.
FIGURE 6 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 6. Apterolarnaca (Bianigryllacris) tenuispinacia sp. nov. Male: A. head in frontal view; B–D. head and pronotum: B. lateral view, C–D. dorsal view; E. hind femur in lateral view; F–I. apex of abdomen: F. lateral view, G. dorsal view, H. apical and ventral view, I. ventral view.
FIGURE 5 in Contribution to the knowledge of Chinese Gryllacrididae (Orthoptera) VII: Review the genus Apterolarnaca Gorochov, 2004
FIGURE 5. Apterolarnaca (Bianigryllacris) fallax (Liu & Bi, 2008). Female: A. head in frontal view; B–C. head and pronotum: B. dorsal view, C. lateral view; D. second and third abdominal tergites with stridulatory pegs in lateral view; E. left hind femur in lateral view; F. apex of abdomen in lateral view; G. subgenital plate in ventral view.
FIGURES 28–32. Anthroherpon spelaebatoides Noesske, 1914 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 28–32. Anthroherpon spelaebatoides Noesske, 1914: 28: metendosternite, dorsal aspect, scale bar 0.95 mm, 29: aedeagus, dorsal aspect, scale bar 0.46 mm, 30: median lobe, right lateral aspect, scale bar 0.34 mm, 31: spermatheca, scale bar 0.08 mm; 32: Anthroherpon cylindricollis cylindricollis Apfelbeck, 1889, spermatheca, scale bar 0.19 mm.
FIGURES 16–21. 16 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 16–21. 16: Anthroherpon cylindricollis cylindricollis Apfelbeck, 1889, venter, without scale bar, 17: mesothorax, right latero–ventral aspect, without scale bar; 18: Anthroherpon zariquieyi Jeannel, 1930, venter, without scale bar; 19: Anthroherpon primitivum primitivum Absolon, 1913, venter, without scale bar, 20: mesothorax, right latero–ventral aspect, without scale bar; 21: Anthroherpon piesbergeni Zariquiey, 1927, venter, without scale bar.
FIGURES 2–5. 2 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 2–5. 2: Anthroherpon cylindricollis cylindricollis Apfelbeck, 1889, scale bar 4.3 mm. 3: Anthroherpon zariquieyi Jeannel, 1930, scale bar 3.8 mm. 4: Anthroherpon primitivum primitivum Absolon, 1913, scale bar 4.5 mm. 5: Anthroherpon piesbergeni Zariquiey, 1927, scale bar 4.6 mm. All originals by D. Beňo, ex Hlaváč, Perreau & Čeplík 2017.
FIGURES 12–15. Anthroherpon spelaebatoides Noesske, 1914. 12 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 12–15. Anthroherpon spelaebatoides Noesske, 1914. 12: pronotum, ventral aspect, scale bar 0.70 mm; 13: mesonotum—scutum, scutellum, metanotum, scale bar 0.44 mm; 14: venter, scale bar 0.70 mm; 15: mesothorax, right latero–ventral aspect, without scale bar.
FIGURES 8–11. 8 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 8–11. 8: Anthroherpon primitivum primitivum Absolon, 1913, head, dorsal aspect, scale bar 0.38 mm; 9: Anthroherpon piesbergeni Zariquiey, 1927, head, dorsal aspect, scale bar 0.43 mm; 10: Anthroherpon spelaebatoides Noesske, 1914, pronotum, right lateral aspect, scale bar 0.60 mm; 11: Anthroherpon piesbergeni Zariquiey, 1927, pronotum, right lateral aspect, scale bar 0.90 mm.
FIGURE 1. Anthroherpon spelaebatoides Noesske, 1914, scale bar 3 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURE 1. Anthroherpon spelaebatoides Noesske, 1914, scale bar 3 mm, original by D. Beňo, ex Hlaváč, Perreau & Čeplík 2017.
FIGURES 22–27. Mesoventral process. 22 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 22–27. Mesoventral process. 22: Anthroherpon cylindricollis cylindricollis Apfelbeck, 1889; 23: Anthroherpon hossei Winkler, 1925; 24: Anthroherpon piesbergeni Zariquiey, 1927; 25: Anthroherpon primitivum primitivum Absolon, 1913; 26: Anthroherpon stenocephalum stenocephalum Apfelbeck, 1901; 27: Anthroherpon zariquieyi Jeannel, 1930.
FIGURES 33–37. Anthroherpon spelaebatoides Noesske, 1914 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 33–37. Anthroherpon spelaebatoides Noesske, 1914: 33: female sternite VIII, dorsal aspect, scale bar 0.56 mm; 34: female sternite IX, dorsal aspect, scale bar 0.23 mm. Spelaeobates novaki Müller, 1901: 35: pronotum, right lateral aspect, without scale bar; 36: scape and pedicel, without scale bar; 37: left maxilla, dorsal aspect, without scale bar.
FIGURES 38–40. 38 in A contribution to understanding the morphology of the genus Anthroherpon (= Parantrophilon syn. nov.) and new combination for a species from the Balkan Peninsula (Insecta, Coleoptera, Leiodidae, Cholevinae, Leptodirini)
FIGURES 38–40. 38: Black dot on the map shows location of Grebci, Bosnia and Herzegovina; 39: Grab(r)ovica pećina cave, topographical map, ex Malez, 1970; 40: The entrance of Grab(r)ovica.
The genetic and social contributions to sex differences in lifespan in Drosophila serrata
<p class="MsoNormal">Sex differences in lifespan remain an intriguing puzzle in evolutionary biology. While explanations range from sex differences in selection to sex differences in the expression of recessive lifespan-altering mutations (via X-linkage), little consensus has been reached. One unresolved issue is the extent to which genetic influences on lifespan dimorphism are modulated by the environment. For example, studies have shown that sex-differences in lifespan can either increase or decrease depending upon the social environment. Here we took an experimental approach, manipulating multiple axes of social environment across inbred long- and short-lived genotypes and their reciprocal F1s in the fly <em>Drosophila serrata</em>. Our results reveal strong genetic effects and subtle yet significant genotype-by-environment interactions for male and female lifespan, specifically due to both population density and mating status. Further, our data do not support the idea that unconditional expression of deleterious X-linked recessive alleles in heterogametic males accounts for lower male lifespan.</p>
Geographic Diversity in Public Code Contributions — Replication Package
<p>Geographic Diversity in Public Code Contributions - Replication Package</p> <p>This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022, <em>Geographic Diversity in Public Code Contributions - An Exploratory Large-Scale Study Over 50 Years</em>. In 19th International Conference on Mining Software Repositories (MSR ’22), May 23-24, Pittsburgh, PA, USA. ACM, New York, NY, USA, 5 pages. <a href="https://doi.org/10.1145/3524842.3528471">https://doi.org/10.1145/3524842.3528471</a></p> <p>This document comes with the software needed to mine and analyze the data presented in the paper.</p> <p>Prerequisites</p> <p>These instructions assume the use of the <a href="https://www.gnu.org/software/bash/">bash</a> shell, the <a href="https://www.python.org/">Python</a> programming language, the <a href="https://www.postgresql.org/">PosgreSQL</a> DBMS (version 11 or later), the <a href="https://facebook.github.io/zstd/">zstd</a> compression utility and various usual *nix shell utilities (cat, pv, …), all of which are available for multiple architectures and OSs.<br> It is advisable to create a <a href="https://docs.python.org/3/tutorial/venv.html">Python virtual environment</a> and install the following PyPI packages:</p> <pre><code>click==8.0.4 cycler==0.11.0 fonttools==4.31.2 kiwisolver==1.4.0 matplotlib==3.5.1 numpy==1.22.3 packaging==21.3 pandas==1.4.1 patsy==0.5.2 Pillow==9.0.1 pyparsing==3.0.7 python-dateutil==2.8.2 pytz==2022.1 scipy==1.8.0 six==1.16.0 statsmodels==0.13.2</code></pre> <p>Initial data</p> <ul> <li><code>swh-replica</code>, a PostgreSQL database containing a copy of Software Heritage data. The schema for the database is available at <a href="https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/">https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/</a>.<br> We retrieved these data from <a href="https://www.softwareheritage.org">Software Heritage</a>, in collaboration with the archive operators, taking an archive snapshot as of 2021-07-07. We cannot make these data available in full as part of the replication package due to both its volume and the presence in it of personal information such as user email addresses. However, equivalent data (stripped of email addresses) can be obtained from the Software Heritage archive dataset, as documented in the article: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli, <em>The Software Heritage Graph Dataset: Public software development under one roof</em>. In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Pages 138-142, IEEE 2019. <a href="http://dx.doi.org/10.1109/MSR.2019.00030">http://dx.doi.org/10.1109/MSR.2019.00030</a>.<br> Once retrieved, the data can be loaded in PostgreSQL to populate <code>swh-replica</code>.</li> <li><code>names.tab</code> - forenames and surnames per country with their frequency</li> <li><code>zones.acc.tab</code> - countries/territories, timezones, population and world zones</li> <li><code>c_c.tab</code> - ccTDL entities - world zones matches</li> </ul> <p>Data preparation</p> <ul> <li> <p>Export data from the <code>swh-replica</code> database to create <code>commits.csv.zst</code> and <code>authors.csv.zst</code></p> <pre><code>sh> ./export.sh</code></pre> </li> <li> <p>Run the authors cleanup script to create <code>authors--clean.csv.zst</code></p> <pre><code>sh> ./cleanup.sh authors.csv.zst</code></pre> </li> <li> <p>Filter out implausible names and create <code>authors--plausible.csv.zst</code></p> <pre><code>sh> pv authors--clean.csv.zst | unzstd | ./filter_names.py 2> authors--plausible.csv.log | zstdmt > authors--plausible.csv.zst</code></pre> </li> </ul> <p>Zone detection by email</p> <ul> <li> <p>Run the email detection script to create <code>author-country-by-email.tab.zst</code></p> <pre><code>sh> pv authors--plausible.csv.zst | zstdcat | ./guess_country_by_email.py -f 3 2> author-country-by-email.csv.log | zstdmt > author-country-by-email.tab.zst</code></pre> </li> </ul> <p>Database creation and initial data ingestion</p> <ul> <li> <p>Create the PostgreSQL DB</p> <pre><code>sh> createdb zones-commit</code></pre> <p>Notice that from now on when prepending the <code>psql></code> prompt we assume the execution of psql on the <code>zones-commit</code> database.</p> </li> <li> <p>Import data into PostgreSQL DB</p> <pre><code>sh> ./import_data.sh</code></pre> </li> </ul> <p>Zone detection by name</p> <ul> <li> <p>Extract commits data from the DB and create <code>commits.tab</code>, that is used as input for the zone detection script</p> <pre><code>sh> psql -f extract_commits.sql zones-commit</code></pre> </li> <li> <p>Run the world zone detection script to create <code>commit_zones.tab.zst</code></p> <pre><code>sh> pv commits.tab | ./assign_world_zone.py -a -n names.tab -p zones.acc.tab -x -w 8 | zstdmt > commit_zones.tab.zst</code></pre> Use <code>./assign_world_zone.py --help</code> if you are interested in changing the script parameters.</li> <li> <p>Ingest zones assignment data into the DB</p> <pre><code>psql> \copy commit_zone from program 'zstdcat commit_zones.tab.zst | cut -f1,6 | grep -Ev ''\s$'''</code></pre> </li> </ul> <p>Extraction and graphs</p> <ul> <li> <p>Run the script to execute the queries to extract the data to plot from the DB. This creates <code>commit_zones_7120.tab</code>, <code>author_zones_7120_t5.tab</code>, <code>commit_zones_7120.grid</code> and <code>author_zones_7120_t5.grid</code>.<br> Edit <code>extract_data.sql</code> if you whish to modify extraction parameters (start/end year, sampling, …).</p> <pre><code>sh> ./extract_data.sh</code></pre> </li> <li> <p>Run the script to create the graphs from all the previously extracted tabfiles.</p> <pre><code>sh> ./create_stackedbar_chart.py -w 20 -s 1971 -f commit_zones_7120.grid -f author_zones_7120_t5.grid -o chart.pdf</code></pre> </li> </ul>
Measurement report: On the contribution of long-distance transport to the secondary aerosol formation and aging
<p>(1) Chemical composition of PM2.5 in four transport sectors.<br> (2) Time series of organic aerosol factors resolved by PMF&ME-2 in four transport sectors.<br> (3) Meteorological data corresponded to the ACSM and PMF&ME-2 data.<br> (4) f44 and f43 ratio in four transport sectors.</p>
Data from: Multiple types of genomic variation contribute to adaptive traits in the mustelid subfamily Guloninae
<p>Species of the mustelid subfamily Guloninae inhabit diverse habitats on multiple continents, and occupy a variety of ecological niches. They differ in feeding ecologies, reproductive strategies and morphological adaptations. To identify candidate loci associated with adaptations to their respective environments, we generated a de novo assembly of the tayra (<em>Eira barbara</em>), the earliest diverging species in the subfamily, and compared this with the genomes available for the wolverine (<em>Gulo gulo</em>) and the sable (<em>Martes zibellina</em>). Our comparative genomic analyses included searching for signs of positive selection, examining changes in gene family sizes, as well as searching for species-specific structural variants (SVs). Among candidate loci associated with phenotypic traits, we observed many related to diet, body condition and reproduction. For example, for the tayra, which has an atypical gulonine reproductive strategy of aseasonal breeding, we observe species-specific changes in many pregnancy-related genes. For the wolverine, a circumpolar hypercarnivore that must cope with seasonal food scarcity, we observed many changes in genes associated with diet and body condition. All types of genomic variation examined (single nucleotide polymorphisms, gene family expansions, structural variants) contributed substantially to the identification of candidate loci. This strongly argues for consideration of variation other than single nucleotide polymorphisms in comparative genomics studies aiming to identify loci of adaptive significance.</p>
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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.