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Figure 14 in Neurobiology and vision of jumping spiders (Araneae: Salticidae)
Figure 14. Semi-schematic diagram of primary visual centers in the CNS of Phidippus (after Hill 1975, 2006). Dorsal view of the left side, based on examination of serial silver and Masson Trichrome sections. The first link between information received by the lateral eyes and the anterior medial eyes is in the protocerebrum. The solid black bars indicate groups of fibers entering the protocerebrum. Fibers leading from the primary neuropiles of the lateral eyes (AL1 and PL1) lead to either the synaptic layer (lame glomerulee) of the corpus pedunculatus (pedunculate body), or to the lateral eye neuropile and lateral eye tract. Large, distinctive fibers of the primary neuropile of the posterior medial eyes (PM1) join similar fibers originating with a small neuropile (ALx) associated with the primary neuropile of the anterior lateral eye (AL1). These large fibers enter the protocerebrum as a distinctive tract (lft). Several important groups of neuron somata are shown. A bridge (fiber tract) connects the left and right corpora pedunculata. See Figure 15 for a more current view.
Figure 14 in Taxonomic changes suggested by the genomic analysis of Hesperiidae (Lepidoptera)
Figure 14. Genomic tree of Moncina, part 2. See Fig. 1 legend for notations.
Fig. 14–15 in Taxonomic Review Of The Genus Yunnantettix (Orthoptera, Tetrigidae) From The Oriental Region
Fig. 14–15. Yunnantettix thaicus sp. n.: 14 — male body, dorsal view; 15 — female, lateral view.
Figure 14 in Maratus pinniger, a new peacock spider in the vespa group from southwestern Australia (Araneae: Salticidae: Euophryini)
Figure 14. Two series (1-8, 9-10) showing the female Maratus pinniger (at right) following the side to side movement of the fan by a male engaged in the final stage of courtship. As each male turned the fan to display the "feathered" flap on either side, alternating from left to right, the female, at a distance of 4-5 mm, turned to follow this movement.
Figure 14 in Maratus candens, a new peacock spider in the linnaei group from southwestern Australia (Araneae: Salticidae: Euophryini)
Figure 14. Successive positions of the female Maratus candens during the courtship shown, in part, in Figure 13. This display, with legs III extended and elevated, and the opisthosoma elevated and bobbed from time to time, is a characteristic of Maratus females, apparently associated with rejection of a courting male.
Image 14 in A New Species Of Platylestes Selys (Odonata: Zygoptera: Lestidae) From The Coastal Area Of Kannur District, Kerala, India
Image 14. Type locality of Platylestes kirani sp. nov.
Decomposition, topology, properties, and graphs of 14 individuals of Cenostigma pyramidale (Tul.) Gagnon & G.P. Lewis, a Caatinga tree species
<p>Data were obtained from the observation of 14 individuals of the tree species <em>Cenostigma pyramidale</em> (Tul.) Gagnon & G.P. Lewis growing in a semiarid area in Caatinga vegetation under natural conditions in the Northeast of Brazil in Paraiba State, located at the Fazenda Pocinho (7º29'46" S, 35º58'12" W) in the municipality of Barra de Santana. The woody crowns were drawn (skeletonized) in the 2-D format as rooted trees resulting in networks with nodes and connectors named woody crown networks. The data of decomposition, topology, and some properties are captured by skeletonized crowns following the methodology described by Prado et al. (2020, <a href="https://doi.org/10.1016/j.jtbi.2020.110318">https://doi.org/10.1016/j.jtbi.2020.110318</a>).</p>
Fig. 14 in Arumatia, a new genus of Diapheromerinae stick insects (Insecta, Phasmatodea) from Brazil, with the description of five new species and a reassessment of species misplaced in Australian genera
Fig. 14. Arumatia anyami Ghirotto, Crispino & Neves gen. et sp. nov., holotype, ♀ (MZUSP 1091).
Geochemical and isotopic analyses of a ~14 000 year old sediment core collected from Lake Simcoe, Canada
<p>This dataset contains measurements of modern water and ancient core materials from Lake Simcoe, the fourth largest lake wholly in Ontario, Canada. These data consist of: <em>(i)</em> oxygen, hydrogen and carbon isotope (<em>δ</em><sup>18</sup>O, <em>δ</em><sup>2</sup>H and <em>δ</em><sup>13</sup>C) compositions for modern water samples; <em>(ii)</em> physical measurements of one piston core, PC-5; <em>(iii) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ostracods collected from PC-5, and <em>(iv) δ</em><sup>13</sup>C and <em>δ</em><sup>18</sup>O values of ancient DIC and water, respectively, inferred from item <em>(iii)</em>. Physical measurements performed on core PC-5 include magnetic susceptibility, mineralogy and grain size. Mass accumulation rates are also reported.</p>
FRACTESUS_UC_A533B LUS_KJc_MCT_-30_14
<p>Fractesus project. Fracture test mini-CT. Raw data A533B LUS. UC.</p>
Fig. 14 in Taxonomic revision of Zingiber (Zingiberaceae) of Taiwan
Fig. 14. Lectotype of Zingiber kawagoii Hayata (TI-00010378).
Ukrainian 14-syllable verse in Belarusian poetry: the rhythm of translations and imitations (dataset)
<p>Data and source code accompanying the talk:<br> У. В. Парыцкі. Украінскі 14-складовы верш у беларускай паэзіі: рытміка перакладаў і імітацый // X Міжнародны Кангрэс даследчыкаў Беларусі, Коўна, 01.10.2022 [Vladislav Poritski. Ukrainian 14-syllable verse in Belarusian poetry: the rhythm of translations and imitations // Presented at 10th International Congress of Belarusian Studies, Kaunas, 01.10.2022]</p> <p>The empirical investigation of 14-syllable verse, presented in the talk, is based upon a sample of Ukrainian texts by Taras Shevchenko, their Belarusian translations, and original Belarusian poetry by Yanka Kupala, Yakub Kolas, Piatruś Brouka. The dataset structure is as follows:</p> <ul> <li>./0_plain – plain texts;</li> <li>./1_accentuated – accentuated texts;</li> <li>metadata_shevchenko.tsv, metadata_be_authors.tsv – metadata files describing the texts;</li> <li>make_reports.py – a Python script to generate statistic reports from the accentuated texts;</li> <li>./2_reports – programmatically generated reports;</li> <li>slides.tex – LaTeX source code of the talk's slides, where the reports are embedded as diagrams and tables;</li> <li>slides.pdf – PDF version of the slides.</li> </ul> <p>The directories ./0_plain, ./1_accentuated, ./2_reports are provided in .zip archives.</p> <p>Belarusian translations of Taras Shevchenko's poetry have been taken from the book:<br> Т. Р. Шаўчэнка. Вершы. Паэмы. Мінск: Мастацкая літаратура, 1989.<br> (scan copy available at https://files.knihi.com/Knihi/scanned/Saucenka.Viersy_paemy.djvu)<br> Each poem is stored in a separate .txt file. The file name indicates the number of the poem's first page in the scanned book, e.g.: 021.txt. Same names are used for the respective Ukrainian texts. In each pair of files, such as e.g. ./0_plain/uk/021.txt and ./0_plain/be/021.txt, the texts are aligned line by line. Poem titles in both languages, translator names, and the URLs of Ukrainian source texts are provided in metadata_shevchenko.tsv.</p> <p>Original Belarusian poetry, kept in ./0_plain/be, doesn't require any alignment, and the naming scheme is different. Poem titles, author names, and the URLs of Belarusian source texts are provided in metadata_be_authors.tsv.</p> <p>In all Ukrainian and Belarusian texts, metrically irrelevant lines are discarded, only 14-syllable verse lines are stored, each of them split graphically into 8+6 syllables. Occasional minor violations, i.e. ± one or two syllables, are allowed in the texts but ignored in the statistic reports. No spans shorter than a pair of rhyming 14-syllable lines (or, graphically, a quatraine of 8+6+8+6 syllables) were sampled from polymetric poems.</p> <p>These special characters are used:</p> <ul> <li>"/" to represent line break in the source edition;</li> <li>"//" for section break (next stanza, another character's words);</li> <li>trailing "#" for the inverse of line break: to recover the original 14-syllable line as printed in the source edition, one should remove the newline;</li> <li>leading "#" for mis-aligned lines, e.g. those missing in the Belarusian translation and added hypothetically, in order to restore the alignment.</li> </ul> <p>The procedure of accentuating Ukrainian and Belarusian texts was semi-automatic, using an opportunistic database of word accents crawled from online lexicographic resources: https://slounik.org for Belarusian, https://uk.wiktionary.org and https://slovnyk.ua/nagolos.php for Ukrainian. The database and the accentuator script are not part of this dataset. Although a fair bit of manual supervision was put into ensuring that most accents are accurate, it's likely that some errors still remain, especially in the Ukrainian data, so please be cautious.</p> <p>Accentuated texts in ./1_accentuated/uk and ./1_accentuated/be are lowercased, with all punctuation stripped off. As usual in quantitative study of East Slavic verse (see e.g. https://doi.org/10.12697/smp.2019.6.2.02 for a recent overview), we distinguish between two kinds of stresses: pronouns and certain other function words bear "light" stress, while content words bear "heavy" stress. These are the designations:</p> <ul> <li>"`" for light stress, to the left of the stressed vowel;</li> <li>"'" for heavy stress, to the right of the stressed vowel (note that after consonants, "'" is an apostrophe);</li> <li>"*" for variant heavy stress, as in Ukrainian <em>ба*йду*же</em>;</li> <li>"_" to group clitics together with stressed words, as in Ukrainian <em>і_не_привіта'ла</em>.</li> </ul> <p>In rare exceptional cases, the meter may require to pronounce syllabic consonants, as in Belarusian <em>рэестр</em>. To match pronunciation, we add a vowel in square brackets: <em>рэест[а]р</em>.</p> <p>The reports summarize certain statistic properties of the dataset:</p> <ul> <li>translators.csv – a breakdown of Shevchenko's Belarusian translations into the numbers of lines contributed by each translator. 8+6 are counted as separate lines. Syllable count violations are ignored: a pair of aligned Ukrainian / Belarusian lines is not counted towards the translator's total, if the number of syllables is irrelevant (e.g. 9 and 9) or mismatched (e.g. 8 and 6).</li> <li>be_authors.csv – line counts by author in the original Belarusian poetry. Same counting rules apply, modulo the alignment.</li> <li>rhythm.csv – percentages of accents on each of the 14 syllables in various samples, grouped by author and / or translator. Rows are syllables, columns are samples. Accents in each sample are counted two ways: "min" – only heavy stresses, "max" – all stresses.</li> <li>total_accentuation.csv – average accent counts per line in Shevchenko's Ukrainian texts and Belarusian translations, separately for 8+6, separately for heavy and all stresses.</li> <li>word_boundary.csv – statistics of word boundary positions in 8-syllable 2-word heavy-stressed lines in Shevchenko's Ukrainian texts and Belarusian translations.</li> <li>trochaicity.csv – ratio of stresses that match trochaic metrical template, separately for 8+6, heavy stresses only. Rows are samples: Shevchenko's Ukrainian texts and Belarusian translations, original poetry by three Belarusian authors.</li> </ul> <p>For implementation details, see the source code of make_reports.py.</p> <p>To reproduce report generation, you will need Python. Unzip the archive 1_accentuated.zip and run:<br> python3 make_reports.py</p> <p>To rebuild the slides, you will need LaTeX:<br> xelatex -synctex=1 -interaction=nonstopmode -shell-escape slides.tex<br> If the bibliographic references are not rendered properly, rerun once again.</p>
Figs 12–14 in Functional morphology of the male genitalia of the family Autostichidae (Lepidoptera) with description of a new genus and a new species from the Russian Far East
Figs 12–14. Autosticha modicella, functional morphology of the male genitalia. 12 –
Figs 9–14 in A new species of the bristletail genus Charimachilis Wygodzinsky, 1939 (Microcorypha: Machilidae) from Eastern Ukraine
Figs 9–14. Charimachilis petrophilus Kaplin, sp. n., holotype ♀. 9 – urosternite and
Figs 14–19. Synona consanguinea. 14 in New to the fauna of India ladybird beetles (Coleoptera: Coccinellidae)
Figs 14–19. Synona consanguinea. 14 – habitus, dorsal view; 15 – abdomen; 16 – tegmen,
Figs 14–16 in New records of Quartinia mongolica (Morawitz, 1889), with a comment on a closely related species Q. funebris Kostylev, 1935 (Hymenoptera: Vespidae: Masarinae)
Figs 14–16. Male genitalia in dorsal view: 14 – Quartinia mongolica (Morawitz, 1889),
Figs 10–14. Thanmoia spp., females. 10, 11 – T in Review of the genus Thanmoia Ramme, 1941 (Orthoptera: Acrididae, Oxyinae)
Figs 10–14. Thanmoia spp., females. 10, 11 – T. gustavi: 10 – body, lateral view; 11 –
Figs 9–14 in A new genus of the tribe Osminiini (Lepidoptera: Sesiidae) from the Oriental Region
Figs 9–14. Variability of males of Nepyrophleps haematochrodes (Le Cerf, 1912), comb.
Figs 10–14 in NEOLITINIA SULPHURATA GEN. N., SP. N. (LEPIDOPTERA: GELECHIIDAE) FROM BORNEO ISLAND
Figs 10–14. Neolitinia sulphurata sp. n., female genitalia. 10 – ventral view, paratype,
Figs. 9–14 in First discovery of the male of Teratura (Stenoteratura) kryzhanovskii (Bey-Bienko, 1957) (Orthoptera: Tettigoniidae: Meconematinae)
Figs. 9–14. Teratura (Stenoteratura) kryzhanovskii, female. 9 – apex of abdomen, lateral
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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.