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Figure 47 in Notes on the life history and taxonomy of Cerurina marshalli (Noctuoidea: Notodontidae: Cerurinae)

Figure 47: Locality map for material examined of Cerurina and Afrocerura spp., showing areas where species are known to occur sympatrically. C. marshalli (ST♀); A. leonensis (HT♀); A. bifasciata bifasciata (HT♀); A. bifasciata tanganyikae (HT♂); A. cameroona (HT♀); Cerura argentina Schultze, 1916 (ST♀); A. thomensis (HT♂).

Figures 18–31 in Notes on the life history and taxonomy of Cerurina marshalli (Noctuoidea: Notodontidae: Cerurinae)

Figures 18–31: Adults of examined Afrocerura spp. (all ANHRT, unless otherwise indicated), arrows indicate diagnostic generic characters. 18. A. leonensis, holotype ♀, Sierra Leone (NHMUK), a. antemedial fascia often interrupted or deleted entirely, b. subterminal fascia almost always present; 19. A. leonensis, Guinea, Dalaba (ANHRTUK00103029, LG5368♂); 20. A. bifasciata bifasciata, holotype ♀, Zimbabwe, (Type no. 1655) (TMSA); 21. A. bifasciata bifasciata, Zambia, Kasanka N.P. (ANHRTUK00073572, LG5363♂); 22. A. bifasciata tanganyikae, holotype ♂ [without holotype label] Kenya, Mombassa (NHMUK); 23. A. thomensis, holotype ♂, São Tomé (NHMUK); 24. A. thomensis, paratype (allotype) ♀, São Tomé (NHMUK); 25. A. thomensis, São Tomé, Bom Successo (ANHRTUK00041722, LG5362♂); Comparative specimens of A. cameroona: 26. A. cameroona, Gabon, Ivindo N.P. (ANHRTUK00044930, ANHRT slide no. 00521♂); 27. A. cameroona, holotype ♀, Cameroon, Bitye, (NHMUK); 28. A. cameroona, Zambia, Kitwe (ANHRTUK00081593, ANHRT slide no. 00523♀); 29. A. cameroona, Zambia, Kafue N.P. (ANHRTUK00081592, ANHRT slide no. 00522♂); 30. ♀(ZMHB) & 31. ♂ (ZMHB) A. cameroona, (=Cerura argentina Schultze, 1916 syntypes), Süd-Kamerun, Molundu.

Figures 43‒46 in Notes on the life history and taxonomy of Cerurina marshalli (Noctuoidea: Notodontidae: Cerurinae)

Figures 43‒46 ‒ Female genitalia of Cerurina and Afrocerura spp. (all ANHRT). 43. C. marshalli (Hampson, 1910), Zambia, Mutinondo (ANHRTUK00152996, LG5357♀); 44. C. marshalli, Zambia, Mutinondo (ANHRTUK00152995, LG5366♀); 45. C. marshalli, Zambia, Lukwakwa (ANHRTUK00061207, ANHRT Gen. slide no. 00519♀); 46. A. bifasciata bifasciata (Janse, 1920), Zambia, Kitwe (ANHRTUK00042917, ANHRT Gen. slide no. 00316♀).

Figure 1 in Notes on the life history and taxonomy of Cerurina marshalli (Noctuoidea: Notodontidae: Cerurinae)

Figure 1 – Habitat at Mutinondo wilderness area in Zambia showing vast Miombo woodland and granite inselberg habitats.

opencc-by-4.0May 2021View details →

Fig 10 in Correction: Integrated Taxonomy Reveals Hidden Diversity in Northern Australian Fishes: A New Species of Seamoth (Genus Pegasus)

Fig 10. Molecular species identification of Pegasus species using Genetic treeML trees. (A) sequences from the 16S gene; (B) sequences from the COI gene. Trees are based on the K2 evolutionary distance model and are shown here with mined Pegasus and Eurypegasus sequences from GenBank. The trees are shown here with an E. draconis outgroup. Bootstrap support values (following 1000 replicates) are shown above the nodes. https://doi.org/10.1371/journal.pone.0251680.g001

opencc-by-4.0Dec 2024View details →

TAXODIS - A Taxonomy of Online Disinformation

<p>The <strong>Taxonomy of Online Disinformation (TAXODIS)</strong> structures a set of well-defined and analysed linguistic features of online disinformation discourse and is meant to help annotate training data to nourish machine learning and computational models.</p> <p>TAXODIS has been implemented as a <strong>SKOS</strong> vocabulary/thesaurus and is available as an RDFS resource (in TTL/Turtle format) at: </p> <p><a href="https://hop.fzi.de/wordpress/wp-content/uploads/taxodis/v1.0/TAXODIS.ttl">https://hop.fzi.de/wordpress/wp-content/uploads/taxodis/v1.0/TAXODIS.ttl</a></p> <p>The (resolvable) namespace of the taxonomy is <a title="TAXODIS taxonomy" href="https://hop.fzi.de/taxodis/">https://hop.fzi.de/taxodis/</a>.</p> <h3><strong>PURPOSE</strong></h3> <p>The taxonomy can be used for the fine-grained annotation of disinformation datasets and for the publication of the annotation results as Linked (Open) Data. It can be used by automated detection systems to train classification models.</p> <h3><strong>STRUCTURE</strong></h3> <p>The taxonomy contains 66 concepts organized in a hierarchical structure. Its top concept is <em>"disinformation characteristic"</em>, which describes characteristics that are indicative of disinformation in a piece of content. This top term has three narrower terms: </p> <ul> <li><em>"detection feature"</em>, which classifies the piece of content based on linguistic or stylistic features that are indicative of the detection of disinformation (e.g. length of the headline, lexical and contentual poorness, level of semantic incoherence, lack of new information, level of topicality, etc.),</li> <li><em>"categorization"</em>, which classifies the piece of content based on its theme or content type. e.g. social (theme), conspiracy theory (content type), and </li> <li><em>"veracity"</em>, which classifies the piece of content based on its veracity, e.g. mostly false, mixture, etc. </li> </ul> <p>The full hierarchy is shown in <a href="http://users.ics.forth.gr/~fafalios/taxodis/taxodis.jpg" target="_blank" rel="noopener">this figure</a>.</p> <h3><strong>USAGE</strong></h3> <p>The taxonomy can be used together with existing, established vocabularies for the annotation of (disinformation) resources. We suggest the exploitation of the <a href="https://www.w3.org/TR/annotation-model/" target="_blank" rel="noopener">Web Annotation Data Model</a>; a W3C recommendation for the structured representation of annotations that can be shared and reused across different platforms. </p> <p><a href="http://users.ics.forth.gr/~fafalios/taxodis/taxodis_annotation_example.jpg" target="_blank" rel="noopener">This figure</a> shows an example in which an article (instance of class <em>oa:Target</em>) is linked to two annotations: one which categorises the article as of social theme (<em>taxodis:themsoc</em>) and one which categorises the article as having "high" topicality level (<em>taxodis:mobtopical</em>). The intension (motivation) of both annotations is classification (<em>oa:classifying</em>). Notice that the first annotation is directly linked to the taxonomy term <em>taxodis:themsoc</em> through multiple instantiation (the term is an instance of both <em>oa:Body</em> and <em>skos:Concept</em>). This annotation method can be applied for all taxonomy terms that are under <em>"categorisation"</em> and <em>"veracity"</em>, since these terms do not accept a degree value or level like the terms that are under <em>"detection feature"</em>.</p> <p><a href="http://users.ics.forth.gr/~fafalios/taxodis/taxodis_enrichment_example.jpg" target="_blank" rel="noopener">This figure</a> shows how we can link the annotated resource with rich (meta)data using another established vocabulary, namely <a href="https://schema.org/" target="_blank" rel="noopener">schema.org</a>. The annotated article is both an instance of <em>oa:Target</em> and an instance of <em>schema:CreativeWork</em>. This allows using properties of schema.org for providing more information about the article, such as its URL (instance of <em>schema:URL</em>), its publication date (instance of <em>schema:DateTime</em>), its headline (instance of <em>schema:Text</em>), its author (instance of <em>schema:Person</em>), and its content (instance of <em>schema:Text</em>). We can also link the article with entities of different types mentioned in it, such as persons, places, etc., using the property <em>schema:mentions</em>. <br>In addition, we can link claims (instances of <em>schema:Claim</em>) to the articles using the property <em>schema:appearance</em>. A claim can be then linked to its text, video/audio (if any) and author (using the properties <em>schema:text</em>, <em>schema:video</em>/<em>schema:audio</em>, and <em>schema:author</em>, respectively), as well as with claim reviews (instances of <em>schema:ClaimReview</em>). In a similar way, a claim review can be linked with related data such as its author, URL, publication date, headline, review body, etc.</p> <p>Queries that can be answered using TAXODIS annotations include:</p> <ul> <li>Retrieve all resources classified as of <em>social theme</em> and which have a <em>high</em> level of <em>emotional polarization</em></li> <li>Retrieve all resources with <em>imposter content</em> together with the values of all features that are under <em>"psychology feature"</em></li> <li>Retrieve the number of resources per content type having high usage of <em>emphatic wording</em></li> <li>Retrieve all resources published on a specific time period containing claims that have been reviewed and have received a veracity score <em>"mostly false"</em></li> <li>Retrieve all resources mentioning a specific person which are mostly <em>false</em>, together with the values of all features that are under <em>"detection feature"</em></li> </ul> <p>The first query of the above list is translated to SPARQL as follows:</p> <pre><code>PREFIX taxodis: <https://hop.fzi.de/taxodis/> PREFIX oa: <http://www.w3.org/ns/oa#> PREFIX schema: <http://schema.org/> SELECT ?resourceUri ?resourceHeadline ?resourceAuthor WHERE { ?annot1 oa:hasTarget ?resourceUri ; oa:hasBody taxodis:themsoc . ?annot2 oa:hasTarget ?resourceUri ; oa:hasBody ?annot2Body . ?annot2Body oa:type taxodis:mobpolar ; rdf:value "high" . OPTIONAL { ?resourceUri schema:headline ?resourceHeadline } OPTIONAL { ?resourceUri schema:author ?resourceAuthor } }</code></pre> <h3><strong>ANNOTATION PROTOCOL / GUIDELINES</strong></h3> <p>We do not provide specific annotation guidelines as of how to use the taxonomy, because such protocol is usually highly task and domain dependent. Thus, we leave to the specific community and teams the design of annotation guidelines according to their needs. It is worth noting that some taxonomy categories, such as <em>"emotional polarization"</em> versus <em>"sensationalism"</em>, exhibit conceptual proximity that may challenge consistent annotation. In such cases, multiple labels to a single content item can be assigned, even within the same dimension where categories are not strictly mutually exclusive. For example, content may be simultaneously labeled as both <em>"clickbait"</em> and <em>"propaganda"</em> when relevant. This multilabel approach reflects the complex and often overlapping nature of disinformation phenomena.</p> <p>In the context of the <a href="https://defakts.de/" target="_blank" rel="noopener">DeFaktS project</a>, a  group of interested researchers (from sociology, computer science, and political science) and practitioners (from NGOs and industry) utilized an earlier version of the taxonomy to create labels for identifying different types of disinformation. The participants were provided with a <a href="http://users.ics.forth.gr/~fafalios/taxodis/Taxonomy_Workshop_Handout.pdf" target="_blank" rel="noopener">handout of the taxonomy</a> and applied it to social media posts derived from various platforms (mainly Telegram and X). This handout may also prove useful in similar manual annotation efforts.</p> <h3><strong>RELATED PUBLICATION</strong></h3> <p>(currently under review)</p>

opencc-by-4.0Sep 2024View details →

TaxoDros - The Database on Taxonomy of Drosophilidae hash://md5/c6ca8257965cccb206b90b022a9446e8 hash://sha256/0185b51272f3cd5ca6af34ee406564c3366211bed461650e28273cc7f27f6210

<div> </div> <p>This repository contains the TaxoDros source data for <a href="https://www.taxodros.uzh.ch/" rel="nofollow">Taxodros</a>: The database on Taxonomy of Drosophilidae as provided by Gerhard Bächli, the database maintainer, in Jan 2025.</p> <p>TaxoDros forms the basis of the <a href="https://zenodo.org/communities/taxodros" rel="nofollow">Zenodo TaxoDros Community</a>. See also <a href="https://zenodo.org/communities/taxodros/about" rel="nofollow">https://zenodo.org/communities/taxodros/about</a> .</p> <div> <h2>Index Files</h2> <a href="https://github.com/TaxoDros/TaxoDros.github.io#index-files"></a></div> <table> <tbody><tr> <th>filename</th> <th>description (click for details)</th> <th>signature</th> </tr> </tbody><tbody> <tr> <td>ALLORTE.TEXT</td> <td>location information</td> <td>hash://md5/9f31fe295591c47b7d82e9871fa0db85</td> </tr> <tr> <td>ASHBURN.TEXT</td> <td>journal names</td> <td>hash://md5/225fa584ea602b27de1bcf9ac7edcf68</td> </tr> <tr> <td>DROS3.TEXT</td> <td>reference descriptors</td> <td>hash://md5/9ae8095ab8fee928b4d0b78fbf937ba0</td> </tr> <tr> <td>DROS5.TEXT</td> <td>reference details</td> <td>hash://md5/1e07c7a2567d0431f94e799f5e3db252</td> </tr> <tr> <td>KEYWORDS.TEXT</td> <td>descriptors and country names</td> <td>hash://md5/a115d0559dfd3ea75b758fee71246775</td> </tr> <tr> <td>README.md</td> <td>this file (mostly)</td> <td> </td> </tr> <tr> <td>SPECIES-LIST_GE_SG</td> <td>all Drosophilid-epithets (species, infra-specific names, such as “melanogaster”), including the respective genus and subgenus name</td> <td>hash://md5/be40d900cf2651cb84e0c1efeca04078</td> </tr> <tr> <td>SPECIES-LIST_GR_SR</td> <td>(species-)groups and subgroups</td> <td>hash://md5/0a9ebec3f9e7232de32984968323b0c2</td> </tr> <tr> <td>SPECIES-LIST_GR_SR_SC</td> <td>(species-)group, subgroup and species-complex</td> <td>hash://md5/f0f08d3680b7c2aedede94af3ae17b52</td> </tr> <tr> <td>SYST.QE.TEXT</td> <td>copy of the SYST.TEXT as a mere text-file without header</td> <td>hash://md5/3fb637e9bb67a021a8dff8c06888fa0a</td> </tr> <tr> <td>SYST.TEXT</td> <td>all systematic relationships, including synonymy</td> <td>hash://md5/4609142e8ed4994c673316c280e20af5</td> </tr> <tr> <td>TAXA_LIST</td> <td>all taxa (as abbreviation), for species with the currently accepted genus name, and the actual bibliographic reference</td> <td>hash://md5/0ef01d88281c8a0adff9a974a2087338</td> </tr> </tbody> </table> <div> <h2>PDF Files</h2> <a href="https://github.com/TaxoDros/TaxoDros.github.io#pdf-files"></a></div> <p>TaxoDros keeps a library of associated pdfs. See <a href="https://github.com/TaxoDros/TaxoDros.github.io/blob/main/pdf">pdf</a> for more information.</p> <div> <h3>History</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#history"></a></div> <p>Version 20240112: Added DOI to .K in DROS5.TEXT and SYST.QE.TEXT Version 20240926: Scheduled update of index files with new/updated pdfs. Version 20250120: Scheduled update of index files with new/updated pdfs.</p> <div> <h2>Index File Details</h2> <a href="https://github.com/TaxoDros/TaxoDros.github.io#index-file-details"></a></div> <p>Details based on description provided by Bächli in January 2024.</p> <p>The TaxoDros Index includes 12 files. With the exception of SYST.TEXT all files are strict size-limited (72 Chars, some lines with continuations in DROS5.TEXT). The font used is Monaco, a fix-length font on Mac, which in a text editor makes the data looking (pseudo)tabellaric. The following information is important to understand the individual files.</p> <div> <h3>ALLORTE.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#allortetext"></a></div> <p>This file includes all collection sites in alphabetical order, with geographic coordinates, first geographic longitude, then geographic latitude (&bdquo;-&bdquo; at the end means rather exact data) und die Swiss coordinates [This is used for Swiss Topo maps], followed by the (abbreviated) name of the country. The abbreviations are explained and expanded in KEYWORDS.TEXT and used in Taxodros online.</p> <div> <h3>ASHBURN.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#ashburntext"></a></div> <p>This text-file containes the names of the journals: *s = abbreviation of names used in DROS5.TEXT *u = full (formal) names of journals</p> <div> <h3>DROS3.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#dros3text"></a></div> <p>This text-file includes the descriptors (keywords) used for each source. Each segment has two tags: .TEXT; and .DESC;. The tag .TEXT; includes first the source identification and may be followed by collecting localities (each beginning with =e=…). The tag .DESC; is followed by the “short name” of the taxon (always in first place) followed by the descriptors (key words), The keywords used are explained in KEYWORDS.TEXT. With the exception of the tags, all the following lines are in lower case. Addional “short names” can follow in each segment, in case that the keywords also apply. The keyword “descr” is also used in connection with the keywords fig, egg, larv, pup. Multiple segments are used for each source, when needed.</p> <p>Example (copy of two segments in DROS3.TEXT:</p> <div> <pre><code>.TEXT; tag acurio et al., 2013 (source identification) =e=san jose beach (collection site) .DESC; tag machalilla (“short name”) descr keyword, followed by additional descriptors) fig malex malin femex femin typemat typeloc loc distr$ Ecuador country of collections site comp affil taxon phyl egg pup biol .TEXT; tag acurio et al., 2013 (source information) .DESC; tag atalaia-gr (“short name“) descr (keyword) taxaincl (keyword) affil (keyword) taxon (keyword) phyl (keyword) </code></pre> <div> </div> </div> <div> <h3>DROS5.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#dros5text"></a></div> <p>This text-file contains segments with the bibliographic details for each source of information. Each segment begins with the tag .TEXT; strictly followed by the following tags: .A , .J , .S , .Z or .Z., .K , .P . All tags are fix length (max. 72 chars), excepting the tags .A and .S which may have consecutive lines without new tags.</p> <p>The following is important:</p> <ul> <li>There is only one segment for each source of information.</li> <li>Excepting the source identification (in lowercase), all tags may contain text with the usual capitalization.</li> <li>The lines “source identification” in DROS3.TEXT and DROS5.TEXT are in exact match, connecting the two files.</li> </ul> <p>Explanation of the tags used within each segment:</p> <div> <pre><code>.TEXT; Segment delimiter .A source identification .J year of publication .S title .Z Journal name (abbreviated), volume(issue):first page-last page or .Z. for Books: editor etc. .K comments: library codes, pdf quality, DOI .P name of respective pdf, if available </code></pre> <div> </div> </div> <p>Example: (copy of segment in DROS5.TEXT)</p> <div> <pre><code>.TEXT; acurio et al., 2013 .A Acurio, A., Rafael, V., Cespedes, D., and Ruiz, A., .J 2013 .S Description of a New Spotted Wing Drosophila (Diptera: Drosophilidae) Species and Its Evolutionary Relationships Inferred by a Cladistic Analysis of Morphological Traits. .Z Ann. ent. Soc. Am., 106:1-11. .K ocr++ / DOI:10.1603.AN13028 .P Acurio et al., 2013 </code></pre> <div> </div> </div> <div> <h3>KEYWORDS.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#keywordstext"></a></div> <p>This text-file includes the descriptors (keywords) used in DROS3.TEXT and the (abbreviated) names of countries used in ALLORTE.TEXT and DROS5.TEXT, all used in online TAXODROS.</p> <div> <h3>SPECIES-List_GE_SG</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#species-list_ge_sg"></a></div> <p>In this text-file, all taxon names (short names, epithets) are listed with their affiliation to genus and subgenus.</p> <div> <h3>SPECIES-List_GR_SG</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#species-list_gr_sg"></a></div> <p>In this text-file, all taxon names (short names, epithets) are listed with their affiliation to genus, subgenus, specie-groups and specie-subgroups.</p> <div> <h3>SPECIES-List_GR_SR_SC</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#species-list_gr_sr_sc"></a></div> <p>In this text-file, all taxon names (short names, epithets) are listed with their affiliation to genus, subgenus, species-group, species-subgroup and species-complex.</p> <div> <h3>SYST.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#systtext"></a></div> <p>This is a XLS-file in text/tab format. It includes all systematic relationships, including comments on synonymy and homonymy, etc., with tags for sorting. Some tags:</p> <div> <pre><code>.KF “short name“, used in DROS3.TEXT (e.g., atterima) So called homonyms are separated by nummers and uniquely identified (e.g., attenuata 1). .VN the currently accepted name (taxonomy). (e.g., aterrima) .FU the original form of the name, with author(s), etc.,. (e.g., atterima Patterson and Wheeler, 1949:218) .OR the original generic affiliation of the name (e.g., Drosophila) .AU the original source to link with DROS5.TEXT (e.g., patterson & wheeler, 1949) .FA family (e.g., Drosophilidae) .SF subfamily (e.g., Drosophilinae) .TR tribe (e.g., Drosophilini) .ST subtribe (e.g., Drosophilina) .IT infratribe (e.g., Drosophiliti) .GE genus (e.g., Scaptomyza) .SG subgenus (e.g., Macroscaptomyza) .GR species group (e.g., mesophragmatica) .SR species subgroup (e.g., mesophragmatica) .SC species complex (e.g., altissima) .SS subspecies (e.g., avittata) .CO any comments (status, etc.) </code></pre> <div> </div> </div> <div> <h3>SYST.QE.TEXT</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#systqetext"></a></div> <p>This is a text-file, actually an exact copy of the file SYST.TEXT without connection with xls.</p> <div> <h3>TAXA-LIST</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#taxa-list"></a></div> <p>This text-file lists all “short names” with actual genus affiliation and author(s) combination.</p> <div> <h3>TAXODROS</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#taxodros"></a></div> <p>The link <a href="https://www.taxodros.uzh.ch" rel="nofollow">https://www.taxodros.uzh.ch</a> allows search with keywords, search for distribution and contains lists for taxonomic overviews.</p> <div> <h2>References</h2> <a href="https://github.com/TaxoDros/TaxoDros.github.io#references"></a></div> <div> <h3>Elliott2020</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#elliott2020"></a></div> <p>Elliott M.J., Poelen J.H., Fortes J.A.B. (2020). Toward Reliable Biodiversity Dataset References. <em>Ecological Informatics</em>. <a href="https://doi.org/10.1016/j.ecoinf.2020.101132" rel="nofollow">https://doi.org/10.1016/j.ecoinf.2020.101132</a> <a href="https://linker.bio/hash://sha256/136c3c1808bcf463bb04b11622bb2e7b5fba28f5be1fc258c5ea55b3b84f482c" rel="nofollow">hash://sha256/136c3c1808bcf463bb04b11622bb2e7b5fba28f5be1fc258c5ea55b3b84f482c</a></p> <div> <h3>Elliott2023</h3> <a href="https://github.com/TaxoDros/TaxoDros.github.io#elliott2023"></a></div> <p>Elliott M.J., Poelen, J.H. & Fortes, J.A.B. (2023) Signing data citations enables data verification and citation persistence. <em>Sci Data</em>. <a href="https://doi.org/10.1038/s41597-023-02230-y" rel="nofollow">https://doi.org/10.1038/s41597-023-02230-y</a> <a href="https://linker.bio/hash://sha256/f849c870565f608899f183ca261365dce9c9f1c5441b1c779e0db49df9c2a19d" rel="nofollow">hash://sha256/f849c870565f608899f183ca261365dce9c9f1c5441b1c779e0db49df9c2a19d</a></p> <div> </div> <div> <div> </div> </div>

opencc-by-4.0May 2022View details →

MMseqs2 virus protein database with ICTV taxonomy

<p>MMseqs2 virus protein database decorated with ICTV taxonomy. Proteins originally retrieved from NCBI NR in 2025-02-08.</p> <p>Steps for reproduction can be found at https://github.com/apcamargo/ictv-mmseqs2-protein-database</p>

Fig. 2 in Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands

Fig. 2. – Pollen of Anisotes Nees in the Comoros Archipelago. A-B. Anisotes mayottensis T. F. Daniel; C-D. A. comorensis (Lindau) T. F. Daniel; A. Apertural view; B. Interapertural view; C. pertural view; D. Interapertural view. [A-B: Pascal 936, CS; C-D: Humblot 1584, P]

Fig. 1 in Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands

Fig. 1. – Comoros Archipelago (Union of the Comoros and Mayotte) showing distributions of Anisotes comorensis (Lindau) T. F. Daniel and A. mayottensis T. F. Daniel. The exact location of the sole collection of A. comorensis (Lindau) T. F. Daniel from Grande Comore is unknown.

Fig. 4. – Anisotes mayottensis T. F in Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands

Fig. 4. – Anisotes mayottensis T. F. Daniel. Distal portion of stem with inflorescences. [Photo: F. Barthelat (used with permission)]

Fig. 3. – Anisotes mayottensis T. F. Daniel. A in Taxonomy of nisotes Nees (Acanthaceae: Justicieae) in the Comoros Archipelago and a preliminary list of canthaceae in the Islands

Fig. 3. – Anisotes mayottensis T. F. Daniel. A. Habit; B. Leaf; C. Bract; D. Bracteole; E. Calyx; F. Distal portion of stamen with anther. [A, C-E: Barthelat & al. 386, MO; B, F: Pascal 936, CAS] [Drawing: Noel Pugh]

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Fig. 1 in Taxonomy and conservation of the genus Noronhia Thouars (Oleaceae) in Mauritius

Fig. 1. – Living plants of NoronHia Thouars on Mauritius. A. NoronHia broomeana Oliv. var. broomeana; B-C. Close-up of NoronHia macropHylla (Baker) Hong-Wa & Callm.; D. NoronHia obovata (Baker) Hong-Wa & Callm. [A: V. Florens & Baider CB 2367; B-C: Baider s.n., pers. obs.; D: Baider & V. Florens CB 2461] [Photos: A, D: V. Florens; B: C. Baider]

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Fig. 2 in Taxonomy and conservation of the genus Noronhia Thouars (Oleaceae) in Mauritius

Fig. 2. – Distribution maps of NoronHia broomeana Oliv. var. broomeana (A), NoronHia macropHylla (Baker) Hong-Wa & Callm. (B), and NoronHia obovata (Baker) Hong-Wa & Callm. (C): Current localities (circles), historical localities (stars).

Fig. 16. Physocypria nipponica Okubo, 1990 in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 16. Physocypria nipponica Okubo, 1990, male, ZIHU 3909. Nomarski optical image of Zenker's organ.

Fig. 15. Physocypria nipponica Okubo, 1990. A in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 15. Physocypria nipponica Okubo, 1990. A, Cleaning leg; B, uropod with uropodal rami; C, right hemipenis; D, right clasping organ; E, left clasping organ. Scale bar: 100 µm.

Fig. 14. Physocypria nipponica Okubo, 1990. A, B, D–F in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 14. Physocypria nipponica Okubo, 1990. A, B, D–F, Male, ZIHU 3909; C, female, ZIHU 3910. A, Mandible, with enlargements of the four palp segments; B, maxillula, with vibratory plate; C, maxilliped; D, E, left and right maxilliped, respectively; F, walking leg. Scale bar: 100 µm.

Fig. 13. Physocypria nipponica Okubo, 1990. A–D in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 13. Physocypria nipponica Okubo, 1990. A–D, Male, ZIHU 3909; E, female, ZIHU 3910. A, Lateral view of right valve; B, lateral view of left valve; C, antennule (inset, details of endopodites of fifth to eighth podomeres); D, antenna (inset, details of endopodites of second to fourth podomeres; t2 and t3 form male bristles); E, antenna (inset, details of two terminal endopodal podomeres). Scale bar: A, B, 200 µm; C–E, 100 µm.

Fig. 11 in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 11. Pseudocandona tenuirostris sp. nov., holotype, ZIHU 3916. Nomarsky optical image of Zenker's organ.

Fig. 17 in Ostracods (Crustacea) from Sarobetsu Marsh, Northern Hokkaido, Japan: Taxonomy and Phenology with Description of Pseudocandona tenuirostris sp. nov.

Fig. 17. Comparison of the hemipenis of Metacypris digitiformis Smith and Hiruta, 2004 between specimens from the the Sarobetsu and Kushiro populations. A, Right hemipenis typical of the Sarobetsu population, male, ZIHU 3903; B, hemipenis typical of the Kushiro population, redrawn from Smith and Hiruta (2004); arrowheads indicate point of attachment to MR. Scale bar: 100 µm.