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FIGURE 1 in Towards a monophyletic classification of Lejeuneaceae II: subtribes Pycnolejeuneinae and Xylolejeuneinae subtr. nov., transfer of Otolejeunea to Lepidolejeuninae, and generic refinements

FIGURE 1. Strict consensus of 124 equally parsimonious trees recovered during heuristic searches of the combined rbcL - trnL-F - nrITS dataset. Bootstrap percentage values>50 are indicated at branches.

opennotspecifiedMar 2014View details →
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Increasing the sensitivity of hyperpolarized [15N2]urea detection by serial transfer of polarization to spin-coupled protons

<p>This upload contains the raw data, MATLAB scripts and Mathematica notebooks used for the publication.</p> <p>Figure 2, 3, 7 and 8 where generated with the Mathematica notebooks in the folder Mathematica_Notebooks.</p> <p>Figure 4 was generated with the raw data in NOE_data/20190821 and processed with the script&nbsp;NOE_data/20190821/H1to15NNOEin15N2urea.m</p> <p>Figure 5a is based on data in Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid processed with Polarization_Transfer_Data/spectral/timecourse/_fk_BHINDER_flipback_15Nto1H_hyp_20180609_01.fid/timecourse.m</p> <p>Figure 5b is based on Polarization_Transfer_Data/imaging/_fk_BHINDER_flipback_EPIP_hyp_10perc_20180531_01.img .&nbsp;From this raw data image2 - image60 are acquired after polarisation transfer. Image1 is a direct acquisition of the water resonance .</p> <p>The brightness and contrast of the images was adjusted and a montage of images 2 to 9&nbsp; was created with (Fiji <a href="https://imagej.net/software/fiji/">https://imagej.net/software/fiji/</a>) .</p> <p>Figure 6 is based on data in Polarization_Transfer_Data/spectral/interleaved processed with Polarization_Transfer_Data/spectral/interleaved/comparision.m</p> <p>The script Pulse_Generation/createIRRUPT.m was used to generate the adiabatic pulses.</p>

opencc-by-4.0Mar 2020View details →
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Figure 4 in Evolution of spermatophore transfer mechanisms in cephalopods

Figure 4. Spermatophore-related characters parsimonious optimization using different hypothesis for the internal relationships of Decapodiformes. Character states are traced and indicated by shape and colour codes; coloured branches (and coloured boxes to the left of taxon names) refer to the spermatophore attachment type, and coloured symbols to the remaining characters. Presence of more than one colour in branches or rectangles, and the presence of a question mark both indicate equivocal character states. (A) Tree according to the maximum likelihood analysis of Lindgren (2008); (B) tree according to the Bayesian analysis of Lindgren (2010).

opennotspecifiedFeb 2014View details →
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Figure 3 in Evolution of spermatophore transfer mechanisms in cephalopods

Figure 3. Spermatophore-related characters parsimonious optimization using different hypotheses for the internal relationships of Coleoidea. Character states are traced and indicated by shape and colour codes; coloured branches (and coloured boxes to the left of taxon names) refer to the spermatophore attachment type, and coloured symbols to the remaining characters. Presence of more than one colour in branches or rectangles, and the presence of a question mark both indicate equivocal character states. Cycloteuthidae 1 and 2 refers to the genera Cycloteuthis and Discoteuthis, respectively. (A) Tree according to the maximum likelihood analysis of Lindgren et al. (2012); (B) tree according to the Bayesian analysis of Strugnell and Nishiguchi (2007).

opennotspecifiedFeb 2014View details →
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Figure 1 in Evolution of spermatophore transfer mechanisms in cephalopods

Figure 1. Types of spermatophore attachment in coleoids. (A) Deep implantation (elongated spermatangium; e.g. Architeuthidae, Cranchiidae); (B) deep implantation (bulbous spermatangium; e.g. Octopoteuthidae, Sepiolidae); (C) shallow implantation (e.g. Loliginidae, Ommastrephidae, Enoploteuthidae); (D) plugged attachment (e.g. incirrate octopods). Abbreviations: ft, female tissue; ov, oviducal gland; sp, spermatangium.

opennotspecifiedFeb 2014View details →
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Figure 2 in On the evolution and function of caltrop cornuti in Lepidoptera - potentially damaging male genital structures transferred to females during copulation

Figure 2. Phylogenetic distribution of caltrop cornuti in (A) Ditrysia and (B) Notodontidae (Noctuoidea). Phylogenies sources: Ditrysia superfamilies: Mutanen et al. (2010); Bombycoidea families: Zwick et al. (2011); Noctuoidea families: Zahiri et al. (2011); Notodontidae subfamilies: Zahiri et al. (2011). Families and subfamilies in bold letter include at least one species with caltrop cornuti (see Table 1).

opennotspecifiedMar 2012View details →
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Figure 1 in On the evolution and function of caltrop cornuti in Lepidoptera - potentially damaging male genital structures transferred to females during copulation

Figure 1. (A) Distal part of intromittent organ of Theretra tryoni (Bomycoidea: Sphingidae: Macroglossinae) showing, through the wall of the phallus, caltrop cornuti attached to the uneverted endophallus; (B) intromittent organ of Erbessa lindigii (Noctuoidea: Notodontidae: Dioptinae) showing caltrop cornuti attached to the everted endophallus; (C) caltrop cornutus

opennotspecifiedMar 2012View details →
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FIGURE 3 in The transfer of Tritomaria koreana to Lophozia has led to recircumscription of the genus and shown convergence in Lophoziaceae (Hepaticae)

FIGURE 3. Lophozia koreana (Bakalin, S.S. Choi et B.-Y. Sun) Bakalin, Maltseva et Vilnet: A—oil bodies in the midleaf cells; B, F—mat, plants with gemmae; C—gemmae; D—mat; E, G—leaves. Scales:50 µm for A, C; 500 µm for E, G; 1 mm for B, D; 5 mm for F. A, B, C, E, G from Bakalin Kor-75-15-19 (VBGI); D from Bakalin Kor-74-5-19 (VBGI); F from Bakalin J-87-13-15 (VBGI).

opennotspecifiedJul 2021View details →
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FIGURE 1 in The transfer of Tritomaria koreana to Lophozia has led to recircumscription of the genus and shown convergence in Lophoziaceae (Hepaticae)

FIGURE 1. Phylogram obtained in a Bayesian analysis for the genus Lophozia and related taxa based on the combined ITS1–2+trnL-F dataset. The values of bootstrap support from the MP and ML analyses and Bayesian posterior probabilities greater than 50% (0.50) are indicated. Newly studied specimens are marked in red.

opennotspecifiedJul 2021View details →
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FIGURES 20–37 in New species of Stenopterobia (Bacillariophyta) from Colombia and Peru, and new nomenclatural transfers in Iconella

FIGURES 20–37. Stenopterobia colombiana sp. nov. LM (Figs 20–32) and SEM (Figs 33–37) images from type material LPC 5610-2. 20–32. Specimens in valve view showing size variation. 33. Valve in external view. 34. Detail of a valve in external view showing axial area with median rib (arrow), transapical costae, biseriate striae and fenestrae. 35. Detail of valve in internal view showing portulae, striae and the wide axial area in. 36. Detail of the internal valve view near the apex showing the portulae. 37. Detail of valve apex in internal view showing terminal raphe fissures. Scale bars: 1 µm (Figs 34–37), 10 µm (Figs 20–32), 20 µm (Fig. 33).

opennotspecifiedAug 2021View details →
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FIGURES 2–19 in New species of Stenopterobia (Bacillariophyta) from Colombia and Peru, and new nomenclatural transfers in Iconella

FIGURES 2–19. Stenopterobia caquetaensis sp. nov. LM (Figs 2–13) and SEM (Figs 14–19) images from type material LPC 5610-1. 2–13. Specimens in valve view showing size variation. 14. External view of a valve. 15. External view of a broken frustule, partially showing valve internal view. 16. Detail of the external valve view showing striae, transapical costae and raphe canal. Arrowheads point 2- seriate striae with a third row of marginal areolae. Arrow points a tetraseriate stria. 17. Tilted external view of the same specimen showing valve mantle and fenestrae. Arrow points a tetraseriate stria. 18. Internal valve view with detail of the striae and the ovoid, irregularly spaced portulae. Arrows point the hyaline area separating valve face striae from mantle striae. 19. Internal view of the valve apex. Scale bars: 1 µm (Figs 16–19), 10 µm (Figs 2–13), 20 µm (Figs 14–15).

opennotspecifiedAug 2021View details →
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MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer

<p>The dataset is published with:<br> <br> <em>MultiEURLEX - A multi-lingual and multi-label legal document classification dataset for zero-shot cross-lingual transfer. Ilias Chalkidis, Manos Fergadiotis, and Ion Androutsopoulos. Proceedings of the&nbsp;2021&nbsp;Conference on&nbsp;Empirical Methods in Natural Language Processing. 2021. Punta Cana, Dominican Republic.</em><br> <br> <strong>Documents: </strong>MultiEURLEX&nbsp;comprises 65k EU&nbsp;in 23 official EU languages. Each EU&nbsp;law has been annotated with EUROVOC&nbsp;concepts (labels) by the Publication Office of EU. Each EUROVOC&nbsp;label ID is associated with a Label descriptor, e.g., [60, `agri-foodstuffs&#39;], &nbsp;[6006, `plant product&#39;], [1115, `fruit&#39;]. The descriptors are also available in 23 languages. Chalkidis et al. (2019) published a&nbsp;monolingual&nbsp;(English) version of this dataset, called EURLEX57K, comprising 57k EU&nbsp;laws with the originally assigned gold labels.</p> <p><strong>Languages: </strong>MultiEURLEX&nbsp;covers 23 languages from 7 families. EU&nbsp;laws are published in all official EU&nbsp;languages, except for Irish for resource-related reasons&nbsp;(Read more:&nbsp;https://europa.eu/european-union/about-eu/eu-languages_en).&nbsp;This wide coverage makes the dataset a valuable testbed for cross-lingual transfer. All languages use the Latin script, except for Bulgarian (Cyrillic script) and Greek.</p> <p><strong>Multi-granular Labeling: </strong>EUROVOC<strong>&nbsp;</strong>has eight levels of concepts. Each document is assigned one or more concepts (labels). If a document is assigned a concept, the ancestors and descendants of that concept are typically not assigned to the same document. The documents were originally annotated with concepts from levels 3 to 8. &nbsp;We created three alternative sets of labels per document, by replacing each assigned concept by its ancestor from levels 1, 2, or 3, respectively. Thus, we provide four sets of gold labels per document, one for each of the first three levels of the hierarchy, plus the original sparse label assignment.</p> <p><strong>Supported Tasks:&nbsp;</strong>Similarly to EURLEX&nbsp;(Chalkidis et al., 2019), MultiEURLEX&nbsp;can be used for legal topic classification, a multi-label classification task where legal documents need to be assigned concepts (in our case, from EUROVOC) reflecting their topics. Unlike EURLEX57K, however, MultiEURLEX&nbsp;supports labels from three different granularities (EUROVOC&nbsp;levels). More importantly, apart from monolingual (one-to-one) experiments, it can be used to study cross-lingual transfer scenarios, including one-to-many&nbsp;(systems trained in one language and used in other languages with no training data), and many-to-one&nbsp;or many-to-many&nbsp;(systems jointly trained in multiple languages and used in one or more other languages).</p> <p><strong>Data Split and Concept Drift:&nbsp;</strong>MultiEURLEX&nbsp;is chronologically&nbsp;split in training (55k, 1958-2010), development (5k, 2010-2012), test (5k, 2012-2016) subsets, using the English documents. The test subset contains the same 5k documents in all 23 languages. The development subset also contains the same 5k documents in 23 languages, except Croatian. Croatia is the most recent EU&nbsp;member (2013); older laws are gradually translated.&nbsp;For the official languages of the seven oldest member countries, the same 55k training documents are available; for the other languages, only a subset of the 55k training documents is available.&nbsp;Compared to EURLEX57K&nbsp;(Chalkidis et al., 2019), MultiEURLEX&nbsp;is not only larger (8k more documents) and multilingual; it is also more challenging, as the chronological split leads to temporal real-world concept drift&nbsp;across the training, development, test subsets, i.e., differences in label distribution and phrasing, representing a realistic temporal generalization&nbsp;problem (Huang and Paul, 2019; Lazaridou et al., 2021). Recently, S&oslash;gaard et al. (2021) showed this setup is more realistic, as it does not overestimate real performance, contrary to random splits (Gorman and Bedrick, 2019).</p>

opencc-by-4.0Aug 2021View details →
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FIGURE 13 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 13. Artemisia fulgens var. meiguensis in the wild. A. Habitat and habit. B. Leaves (adaxial side). C. Synflorescence. Note that the phyllaries and florets in the plants of the Ebian population became brownish as the plants were at early fruiting stage. A, B: photographed by X.Q. Guo &amp; L. Wang from Ebian county in Sichuan, China; C: photographed by Y.S. Chen from Qiaojia county in Yunnan, China.

opennotspecifiedAug 2021View details →
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FIGURE 9 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 9. Leaves of Artemisia fulgens var. fulgens, showing the variation of the shape of leaf lobules within and between populations (leaves above a line coming from the same plant individual, and each population represented by two plant individuals). A. China, Sichuan, Kangding county (the type locality) B. China, Sichuan, Hanyuan county (the type locality of A. flaccida var. flaccida).

opennotspecifiedAug 2021View details →
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FIGURE 10 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 10. Specimens of Artemisia qinlingensis (A, the paratype), A. tangutica (B), A. mattfeldii (C) and A. occidentalisinensis (D, the holotype) all misidentified as A. fulgens. A. T.P. Wang 5944 (WUK) from Xiahe county in Gansu. B. T.P. Wang 6308 (WUK) from Guide county in Qinghai, inset: stem, viscid-pubescent. C. Anonymous 735 (SM) from Zamtang county in Sichuan. D. P.C. Tsoong 5517 (PE) from Gongbo'gyamda county in Xizang, inset: portion of a leaf, abaxially glabrous.

opennotspecifiedAug 2021View details →
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FIGURE 12 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 12. Distribution of Artemisia fulgens var. fulgens (●) and A. fulgens var. meiguensis (■). Black arrow indicates the type locality of A. fulgens var. fulgens, i.e. Kangding county in Sichuan; blue arrow indicates the type locality of A. flaccida var. flaccida, i.e. Daxiangling in Hanyuan county in Sichuan; green arrow indicates the type locality of A. flaccida var. meiguensis (= A. fulgens var. meiguensis), i.e. Meigu county in Sichuan.

opennotspecifiedAug 2021View details →
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FIGURE 3 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 3. Lectotype (A) and isolectotype (B–D) sheets of Artemisia flaccida (= A. fulgens). A. Inset a: portion of a leaf, abaxially tomentose; inset b: capitula, showing the abaxially glabrous phyllaries.

opennotspecifiedAug 2021View details →
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FIGURE 2. A in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 2. A specimen of Artemisia imponens from Gansu, China, D. Hummel 4741 (S), cited under A. fulgens by Pampanini (1939). Inset: capitula and uppermost stem leaves, showing abaxially tomentose phyllaries.

opennotspecifiedAug 2021View details →
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FIGURE 6 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 6. Paratype sheets of Artemisia flaccida var. meiguensis (= A. fulgens var. meiguensis). China, Yunnan, Qiaojia county, Y.Y. Hu 596967 (A; YIM) and Y.Y. Hu 597000 (B; YIM).

opennotspecifiedAug 2021View details →
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FIGURE 8 in Artemisia flaccida (Asteraceae, Anthemideae) is merged with A. fulgens, with transfer of A. flaccida var. meiguensis to A. fulgens

FIGURE 8. Artemisia fulgens var. fulgens in the wild (China, Sichuan, Hanyuan county, the type locality of A. flaccida var. flaccida). A. Habitat and habit. B. Rhizome and roots. C. Portion of stem (left: distal portion; right: proximal portion). D. Leaves. E. Portion of a leaf (adaxial side). F. Portion of a leaf (abaxial side). G. Synflorescence. H. Capitula. I. Phyllaries (abaxial side). J. Receptacle. K. Marginal female florets. L. Disk florets.

opennotspecifiedAug 2021View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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