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1,291 results for “gap”
Fig. 1 in Predicting Wing Trait Gaps: The Case of Andean Rove Beetles (Coleoptera: Staphylinidae)
Fig. 1. Morphological traits measured in rove beetles. a) Dorsal view of Belonuchus sp., b) Hind wing. Body length (BL), pronotum width (PW), pronotum length (PL), elytra length (EL), elytra width (EW), clypeal apical margin to apex of elytra length (CEL), wing length (WL), wing width (WW), wing area (WA).
Fig. 2 in Predicting Wing Trait Gaps: The Case of Andean Rove Beetles (Coleoptera: Staphylinidae)
Fig. 2. Linear regressions using pronotum width as a predictor variable. A) Wing width, B) Wing length, C, D) Wing area. The gray band indicates the prediction intervals with 95% confidence.
FIGURE 3 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 3. Lacronia utaru sp. nov., ♂ holotype (MHNCI). A: habitus, dorsal view. B: ventral view. C: lateral view. D: posterior view. E: Fe–Ta IV, prolateral view (left leg) and retrolateral view (right leg). Scale bars = 1 mm.
FIGURE 4 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 4. Lacronia utaru sp. nov., ♂ holotype (MHNCI). A: dorsal scutum, chelicerae, trochanters and coxae IV, dorsal view. B: dorsal scutum, lateral view. C: ocularium, anterior view. D: right Fe–Ti III, retrolateral view. E: armature of mesotergal area III, posterior view. F: detail of the prodorsal apophysis of coxa IV, posterior view. G–J: right Tr–Ti IV, G: dorsal view. H: prolateral view. I: ventral view. J: retrolateral view. K: right Mt–Ta IV, retrolateral view. Scale bars = 1 mm.
FIGURE 1 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 1. Southeastern and South Brazil, showing distribution of the eight species of Lacronia. The area shaded in dark green displays the Atlantic Province, as defined by Morrone et al. (2022). Inset: Location of the represented sector in South America.
FIGURE 5 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 5. Lacronia utaru sp. nov., ♂ holotype (MHNCI), genitalia, distal part. A: dorsal view. B: lateral view. Scale bars: 100 μm. Letters A to E represent the AE11 macrosetae scheme (Kury & Villarreal 2015, Kury & Machado 2021).
FIGURE 6 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 6. Schematic representation of males' DS, showing the two main sets of colored tubercles in the 'not areolated Lacronia'. The red rectangle indicates the area of the central set, and the blue rectangles indicate the AS lateral sets. A: Lacronia serripes Mello-Leitão, ♂ (MZSP 14342). B: Lacronia utaru sp. nov., ♂ holotype (MHNCI). Scale bars = 2 mm.
FIGURE 2 in Filling a geographic gap: a new species of genus Lacronia Strand, 1942 (Opiliones, Gonyleptidae) from southern Brazil
FIGURE 2. Habitus in vivo of Lacronia utaru sp. nov., ♂ paratype (MNRJ 3697), from Brazil, Paraná, Paranaguá, Estação Ecológica do Guaraguaçu. A: dorsal view. B: fronto-dorsal view. C: posterior view. D: dorso-posterior view. E: ventral view. Photographs by Adriano Kury.
FIGURE 3 in Filling a morphological gap between Australasian and Eurasian/African members of Althenia (Potamogetonaceae, Alismatales): A. hearnii sp. nov. from SW Western Australia
FIGURE 3. Habitat of Althenia hearnii (type locality) and habit of female plants from the type locality. Photographs by T.D. Macfarlane.
FIGURE 2 in Filling a morphological gap between Australasian and Eurasian/African members of Althenia (Potamogetonaceae, Alismatales): A. hearnii sp. nov. from SW Western Australia
FIGURE 2. Morphological details of Althenia hearnii (M.D. Barrett & D.D. Sokoloff 102), SEM. A, sheath to blade transition of vegetative leaf. B, distal part of vegetative leaf. C, leaf in female inflorescence. D, postanthetic female flower. E, postanthetic stigmas. F, preanthetic male flower. G, fruit. Scale bars = 100 μm.
FIGURE 1 in Filling a morphological gap between Australasian and Eurasian/African members of Althenia (Potamogetonaceae, Alismatales): A. hearnii sp. nov. from SW Western Australia
FIGURE 1. General view of fragments of dwarf male (above) and elongated female (below) plants of Althenia hearnii (M.D. Barrett & D.D. Sokoloff 102). Leaf senescence is shown in black.
FIGURE 2. Barcode Gap analysis between Ophiocordyceps nutans and O in Ophiocordyceps neonutans sp. nov., a new neotropical species from O. nutans complex (Ophiocordycipitaceae, Ascomycota)
FIGURE 2. Barcode Gap analysis between Ophiocordyceps nutans and O. neonutans based on the intraspecific and interspecific distances based on ITS region. Each dot represents a pairwise comparison. All interspecific pairwise comparisons are plotted in the column "A" and all intraspecifc ones are plotted in the column "B" of the axis X. Genetic distances are plotted in the axis Y.
FIGURE 1 in Filling a knowledge gap of two centuries: rediscovery of Eugenia subamplexicaulis (Myrtaceae) with notes on its morphology, distribution and conservation
FIGURE 1. Type specimen of Eugenia subamplexicaulis (Martius s.n., M-0171127). Reproduced with the permission of the Botanische Staatssammlung München.
FIGURE 3 in Filling a knowledge gap of two centuries: rediscovery of Eugenia subamplexicaulis (Myrtaceae) with notes on its morphology, distribution and conservation
FIGURE 3. Distribution of Eugenia subamplexicaulis (triangles). Dark lines represent the limits between the Brazilian states, grey lines represent the limits between the municipalities. Map build with Qgis 2.16.3 (http://qgis.osgeo.org).
FIGURE 2 in Filling a knowledge gap of two centuries: rediscovery of Eugenia subamplexicaulis (Myrtaceae) with notes on its morphology, distribution and conservation
FIGURE 2. Collection area and morphology of Eugenia subamplexicaulis. A) sub-montane forest in Pedra de Itaocaia; B) peeling stem ramified at the base; C) fruiting branch with only one fruit persistent in the dichasium; detail: sessile immature fruit crowned by the large calyx lobes and persistent bracteoles at the base (arrowhead); D) dichasial inflorescence and fusiform floral buds; note the reddish twig in the lower-left corner; E) fruits in different stages of maturation; F) mature fruit with swellings where the seeds are lodged and crowned by the shortened and dried (not accrescent) calyx lobes. (Photographs by T. Fernandes).
Replication package for "Application Barriers and the Socioeconomic Gap in Child Care Enrollment"
<p>This package contains the readme, data, and dofiles to replicate the results of the paper</p> <p>"Application Barriers and the Socioeconomic Gap in Child Care Enrollment"</p> <p>by Henning Hermes, Philipp Lergetporer, Frauke Peter & Simon Wiederhold</p> <p>forthcoming at JEEA.</p>
Figure 2 in Filling the gap of distribution of the pale-winged dog-like bat Peropteryx pallidoptera (Chiroptera, Emballonuridae) in Brazil and Peru
Figure 2: Specimens of Peropteryx pallidoptera sampled in Brazilian Amazon. (A–B) Adult female (IDSM 03258) captured at Juami-Japurá Ecological Station, Amazonas (photos by Tamily C.M. Santos and Gerson P. Lopes); (C) adult male (MZUSP 35757) captured at Machadinho D'Oeste, Rondônia (photo by Vinícius C. Cláudio); (D) adult female at Sacará-Taquera National Forest, Pará (photo by Andrezza S.V. Hirota).
Figure 1 in Filling the gap of distribution of the pale-winged dog-like bat Peropteryx pallidoptera (Chiroptera, Emballonuridae) in Brazil and Peru
Figure 1: Distribution of Peropteryx pallidoptera in South America. Locality numbers are listed in Table 1. Black circles represent previously known records (Castro et al. 2012; Díaz 2011; Guerra and Albuja 2012; Lim et al. 2010; McDonough et al. 2010; Medina et al. 2015; Morales-Martínez 2013; Siles et al. 2021; Suarez-Castro et al. 2012), red circles represent new records. The open-source GIS software, QGIS v.3.16.5, was used to generate the map. http://qgis. osgeo.org (QGIS Development Team 2019).
Robust gap closing and reopening in topological-insulator Josephson junctions - Dataset
<p>This dataset contains experimental and numerical data as presented in the revised manuscript 'Robust gap closing and reopening in topological-insulator<br>Josephson junctions' by Jakob Schluck, Ella Nikodem, Anton Montag, Alexander Ziesen, Mahasweta Bagchi, Fabian Hassler, and Yoichi Ando.</p> <p>The data presented in the experimental figures is given in csv files, where the physical quantities and their units are described in the headers.</p> <p>The matlab code used for generating the parameter sweeps presented in figure 3b and figure 5 can be found in the simulations folder.</p> <p>Regarding the data presented in figure 2a and 2b as well as supplementary figure S10, obtained by numerical simulations, please consider the following:</p> <p>simulation.py:<br> Program used for the Kwant-simulation. It produces the file 'data.npz'. N denotes<br> the number of points that have to be calculated along energy and phase.</p> <p>plot.py:<br> Program that uses 'data.npz' as input and produces the plot shown in the manuscript.</p> <p> The temperature is introduced by smearing the zero-temperature data with the Fermi<br> functions due to the lead.</p> <p> As the BCS peak is very sharp, we are not sure that we hit it for each value of the<br> phase. Because of this, we postprocess the data by a running average over 100 points<br> in the phase.</p> <p>data.npz:<br> Data-file in numpy format<br> The conductance for zero temperature is saved on a regular grid<br> 'xs': the energy values<br> 'ys': the phase values<br> 'data': the conductance values</p> <p> Note that the values in the file are obtained by a combination of different runs<br> where care have been taken to sample more points close to the BCS peak, followed<br> by an interpolation to bring the data on a regular grid. Because of the interpolation,<br> the values reported in the file 'data.npz' can slightly differ from the value obtained<br> by running simulation.py at the respective point.</p> <p> </p>
GAPS (Guitar-Aligned Performance Scores) Dataset
<p>Release of the aligned MIDI transcriptions, scores and downbeats that constitute the GAPS dataset. Links to YouTube URLs for audio and video are provided in the accompanying metadata file. See below for the abstract of the publication.</p> <p>Abstract:</p> <p>We introduce GAPS (Guitar-Aligned Performance Scores), a new dataset of classical guitar performances, and a benchmark guitar transcription model that achieves state-of-the-art performance on GuitarSet in both supervised and zero-shot settings. GAPS is the largest dataset of real guitar audio, containing 14 hours of freely available audio-score aligned pairs, recorded in diverse conditions by over 200 performers, together with high-resolution note-level MIDI alignments and performance videos. These enable us to train a state-of-the-art model for automatic transcription of solo guitar recordings which can generalise well to real world audio that is unseen during training.</p>
ScienceDex guides
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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.