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135 results for “multilingual”
FIGURES 103–112 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 103–112. Genera of New World Scarabaeinae. 103. Homocopris torulosus (Eschscholtz). 104. Homocopris torulosus (arrow indicates clypeal process). 105. Isocopris inhiatus (Germar). 106. Leotrichillum louzadaorum Vaz-de-Mello & Canhedo 107. Liatongus rhinocoerulus Bates. 108. Malagoniella (M.) argentina (Gillet). 109. Malagoniella (Megathopomina) puncticollis aeneicollis (Waterhouse). 110. Martinezidium galileoae Génier & Vaz-de-Mello.111. Megatharsis buckleyi Waterhouse. 112. M. buckleyi, ventral view head (arrow indicates labial palp).
FIGURES 74–82 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 74–82. Genera of New World Scarabaeinae. 74. Dendropaemon (Paradendropaemon) sp. 75. Dendropaemon (D.) amyntas Harold, metatibia and tarsus 76. Dendropaemon (Coprophanaeoides) sp. 77. Dendropaemon (D.) viridipennis (Laporte). 78. Diabroctis mirabilis (Harold). 79. Dichotomius (Luederwaldtinia) nisus (Olivier). 80. Dichotomius (Homocanthonides) smaragdinus (Perty). 81. Dichotomius (D.) boreus (Olivier). 82. Dichotomius (Selenocopris) fissus (Harold).
FIGURES 146–153 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 146–153. Genera of New World Scarabaeinae. 146. Phanaeus (P.) vindex (MacLeay) 147. Phanaeus vindex, a— distal view of antennal club; b—lateral view of mesepimeron (arrow indicates tab engaging elytral margin) 148. Phanaeus (Notiophanaeus) palaeno Blanchard. 149. Pseudocanthon perplexus. 150. Scatimus erynnios. 151. Scatimus erynnios, dorsal view head. 152. Scatonomus fasciculatus Erichson. 153. Scatrichus sulcifer Génier & Kohlmann.
FIGURES 66–73 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 66–73. Genera of New World Scarabaeinae. 66. Deltochilum (Euhyboma) brasiliense Laporte. 67. Deltochilum sp., details of elytral apex (arrows indicate apical tubercles). 68. Deltochilum (Parahyboma) furcatum Laporte. 69. Deltochilum (Rubrohyboma) rubripenne (Gory). 70. Deltochilum (Telhyboma) orbiculare Lansberge. 71. Deltorrhinum batesi Harold. 72. Deltorrhinum batesi, hind leg. 73. Deltorrhinum batesi, forebody.
FIGURES 83–92 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 83–92. Genera of New World Scarabaeinae. 83. Digitonthophagus gazella (Fabricius) 84. Ennearabdus lobocephalus (Harold). 85. Eucranium arachnoides Brullé. 86. Eurysternus foedus Guérin-Méneville. 87. Eurysternus foedus (asterisks mark mesocoxae). 88. Euoniticellus intermedius (inset: arrow indicates exposed tip of mesoscutellum). 89. Eudinopus dytiscoides (Schreibers). 90. Eutrichillum hystrix (Arrow) 91. E. hystrix (pyg - pygidium). 92. Feeridium woodruffi Vaz-de-Mello.
FIGURES 57–65 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 57–65. Genera of New World Scarabaeinae. 57. Cryptocanthon altus Howden 58. Degallieridium lilliputanum. 59. Deltepilissus infernalis (Harold). 60. Deltochilum (Hypomidium) icarus (Olivier). 61. Deltochilum icarus, ventral view metasternum (arrows indicate metasternal tubercles). 62. Deltochilum (Aganhyboma) cupreicolle viridescens Martínez. 63. Deltochilum (Calhyboma) mexicanum Burmeister. 64. Deltochilum (D.) dentipes Eschscholtz. 65. Deltochilum (Delthyboma) pseudoparile Paulian.
FIGURES 47–56 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 47–56. Genera of New World Scarabaeinae. 47. Canthonella silphoides (Harold) 48. Canthonella silphoides, protibia and tarsus. 49. Canthonella parva Chapin. 50. Canthonidia rubromaculata (Blanchard) 51. Canthonidia rubromaculata, caudal view of abdomen. 52. Canthotrypes oberthueri Paulian 53. Copris lugubris (Boheman). 54. Coprophanaeus (C.) jasius (Olivier). 55. Coprophanaeus (Metallophanaeus) saphirinus (Sturm). 56. Coprophanaeus (Megaphanaeus) bonariensis (Gory).
FIGURES 39–46 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 39–46. Genera of New World Scarabaeinae. 39. Canthon (Nesocanthon) violaceus (Olivier) (inset: arrow indicates antennal club). 40. Canthon (Glaphyrocanthon) leechi Martínez, Halffter & Halffter (arrow indicates proepisternal carina). 41. Canthon (Francmonrosia) tetraodon Blanchard (ventral view of proleg). 42. Canthon (C.) lituratus (Germar) (ventral view of hind leg). 43. Canthon sp. (ventral view of hind leg; arrow indicates femoral carina). 44. Canthon (Goniocanthon) smaragdulus (Fabricius) (lateral view posterior portion of body; arrow indicates swollen pygidium). 45. Canthon sp., metatibia and tarsus. 46. Chalcocopris hesperus (Olivier).
FIGURES 1–10 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 1–10. Genera of New World Scarabaeinae. 1. Agamopus lampros Bates. 2. Agamopus lampros, pygidium (a— median groove; b—basal groove). 3. Anisocanthon sericinus (Harold). 4. Anisocanthon sericinus, dorsal view of head. 5. Anomiopsoides fedemariai Ocampo. 6. Anomiopsoides fedemariai, ventral view of mid-body. 7. Anomiopus bonariensis Bruch. 8. Anoplodrepanus pecki (Howden) 9. Aphengium sordidum Harold. 10. Aphengium sordidum, ventral view, posterior portion of body.
FIGURES 30–38 in A multilingual key to the genera and subgenera of the subfamily Scarabaeinae of the New World (Coleoptera: Scarabaeidae) 2854
FIGURES 30–38. Genera of New World Scarabaeinae. 30. Canthon (Canthon) pilularius (Linnaeus). 31. Canthon (Peltecanthon) staigi (Pereira) 32. Canthon (Boreocanthon) mixtus Robinson. 33. Canthon (C.) septemmaculatus (Latreille). 34. Canthon (Francmonrosia) tetraodon Blanchard. 35. Canthon (Goniocanthon) smaragdulus (Fabricius). 36. Canthon (Pseudepilissus) muticus Harold. 37. Canthon (Trichocanthon) sordidus Harold. 38. Canthon (Glaphyrocanthon) vazquezae Martínez, Halffter & Halffter.
Dynamic Assessment of the Risk for Language and Reading Disorders in Monolingual and Multilingual Children
ClinicalTrials.gov study NCT06937255. IPD Sharing: Not stated. Countries: 1. Publications: 3.
European Multilingual News Articles Dataset with Topic Annotation
<p>The <em>European Multilingual News Articles Dataset</em> is composed of over 18 million European news articles coming from 205 media outlets belonging to 27 European countries (i.e., all EU countries belonging to the European Union) with the addition of the United Kingdom. Articles range in a time period from 2017 to 2021 and are written in their original languages, for a total of 23 different languages included.</p> <p>After selecting reliable, nationwide European media outlets, each article (i.e., title, textual content, URL, and date and time of publication) was extracted from the <a href="https://commoncrawl.org/2016/10/news-dataset-available/">Common Crawl News Corpus</a>, which contains petabytes of raw web page data collected since 2016. The dataset is released without any text pre-processing other than a cleanup of XML tags. Further, we enriched it by adding several media metadata (e.g., frequency of publication, distribution area, language, type of media). </p> <p>Moreover, we enhanced the dataset by adding - whenever possible - article-level topic annotation by using articles' URLs as a proxy of the topic discussed. In the end, we were able to assign a topic to over 4 million articles (33 unique topics, e.g., politics, sport, entertainment), thus 23.2% of the entire dataset. Further, from URLs, we also extract the types of over 4 million articles (15 unique article types, e.g., news, international, multimedia).</p>
A global, multilingual evaluation of terms used in biological invasions and risk analysis
Open the record for dataset details and reuse information.
Multilingual SLR Pose Datasets - 2
<p>Unlabelled Sign Language Pose datasets for self-supervised pretraining.</p>
Multilingual SLR Pose Datasets
<p>Unlabelled Sign Language Pose datasets for self-supervised pretraining.</p>
Supplementary material 2 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Combined TAS-ISK report
Supplementary material 1 from: Vilizzi L, Piria M, Pietraszewski D, Kopecký O, Špelić I, Radočaj T, Šprem N, Ta KAT, Tarkan AS, Weiperth A, Yoğurtçuoğlu B, Candan O, Herczeg G, Killi N, Lemić D, Szajbert B, Almeida D, Al-Wazzan Z, Atique U, Bakiu R, Chaichana R, Dashinov D, Ferincz Á, Flieller G, Gilles Jr AS, Goulletquer P, Interesova E, Iqbal S, Koyama A, Kristan P, Li S, Lukas J, Moghaddas SD, Monteiro JG, Mumladze L, Olsson KH, Paganelli D, Perdikaris C, Pickholtz R, Preda C, Ristovska M, Švolíková KS, Števove B, Uzunova E, Vardakas L, Verreycken H, Wei H, Zięba G (2022) Development and application of a multilingual electronic decision-support tool for risk screening non-native terrestrial animals under current and future climate conditions. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 211-236. https://doi.org/10.3897/neobiota.76.84268
Table S1
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Black-Box Machine-Generated Text Detection
<p>Large language models (LLMs) are becoming mainstream and easily accessible, ushering in an explosion of machine-generated content over various channels, such as news, social media, question-answering forums, educational, and even academic contexts. Recent LLMs, such as ChatGPT and GPT-4, generate remarkably fluent responses to a wide variety of user queries. The articulate nature of such generated texts makes LLMs attractive for replacing human labor in many scenarios. However, this has also resulted in concerns regarding their potential misuse, such as spreading misinformation and causing disruptions in the education system. Since humans perform only slightly better than chance when classifying machine-generated vs. human-written text, there is a need to develop automatic systems to identify machine-generated text with the goal of mitigating its potential misuse.</p> <p>We offer three subtasks over two paradigms of text generation: (1) <strong>full text</strong> when a considered text is entirely written by a human or generated by a machine; and (2) <strong>mixed text</strong> when a machine-generated text is refined by a human or a human-written text paraphrased by a machine.</p>
Divide and Remaster v3: Multilingual Validation & Test Set
<p>Divide and Remaster v3 is a multilingual rework of the Divide and Remaster v2 dataset by Pétermann et al.</p> <p>This repository contains the <strong>metadata, validation set audio, and test set audio of the</strong> <strong>multilingual variant </strong>of DnR v3.</p> <p>The major changes from DnR v2 are as follows:</p> <ul> <li>the dialogue stem now contains content from more than 30 languages across various language families;</li> <li>speech, vocals, and/or vocalizations have been removed from the music and effects stems;</li> <li>loudness and timing parametrization have been adjusted to approximate the distributions of real cinematic content;</li> <li>the mastering process now preserves relative loudness between stems and approximates standard industry practices.</li> </ul> <p>See the linked GitHub repository for more details.</p>
Figure 1b from: Rasberry L, Mietchen D (2021) Wikipedia for multilingual COVID-19 vaccine education at scale. Research Ideas and Outcomes 7: e70042. https://doi.org/10.3897/rio.7.e70042
Figure 1b Engagement metadata of the English Wikipedia article "Vaccine hesitancy". - This is a Pageviews Analysis for that same article for the calendar year 2020. This screenshot is available via Wikimedia Commons under the terms of the Expat/ MIT license.
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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.