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8,038 results for “Validity”
FIGURE 3 in Validating the systematic placement of Eriosynaphe in the genus Ferula (Apiaceae: Scandiceae: Ferulinae) linked with the description of Ferula mikraskythiana sp. nov. from Romania
FIGURE 3. Photograph of E. longifolia taken in June 2015 in the surroundings of Vodnobuerachnoye village (Volgograd Oblast, Russia), close to the river Volga (by G. Sramkó).
FIGURE 2 in Validating the systematic placement of Eriosynaphe in the genus Ferula (Apiaceae: Scandiceae: Ferulinae) linked with the description of Ferula mikraskythiana sp. nov. from Romania
FIGURE 2. Best Maximum Likelihood phylogram based on nrDNA ITS sequences of Ferula and relatives taken from Panahi et al. (2015) and supplemented with three newly generated sequences in boldface. Numbers adjacent to nodes (not shown below 70) represent bootstrap support percentages.
FIGURE 1 in Validating the systematic placement of Eriosynaphe in the genus Ferula (Apiaceae: Scandiceae: Ferulinae) linked with the description of Ferula mikraskythiana sp. nov. from Romania
FIGURE 1. Location of the newly described Ferula species' single known population shown at three geographical scales by white-filled circles. Gray-filled circles portray the distribution of the morphologically similar Eriosynaphe longifolia based on data from Herbaria CL, MHA, MW, SVER as well as on http://www.gbif.org/ and http://www.plantarium.ru/. The map was prepared in QGIS 2.14 (http://www. qgis.org).
FIGURE 8 in Validating the systematic placement of Eriosynaphe in the genus Ferula (Apiaceae: Scandiceae: Ferulinae) linked with the description of Ferula mikraskythiana sp. nov. from Romania
FIGURE 8. Schematic fruit anatomy of F. mikraskythiana depicted by a mericarp transsection. a, exocarpium. b, mesocarpium. c, endocarpium. d, dorsal ridge. e, vascular bundle. f, vittae. g, seed coat (testa). h, endosperm. i, raphe. j, ventral ridge. k, ventral furrow. l, vascular bundle. m, thickened wing.
FIGURE 4 in Validating the systematic placement of Eriosynaphe in the genus Ferula (Apiaceae: Scandiceae: Ferulinae) linked with the description of Ferula mikraskythiana sp. nov. from Romania
FIGURE 4. Photographs of F. mikraskythiana. The habit (a), terminal leaf lobes (b) and leaf architecture (c) of the plant in May. Central umbel and lateral branches of the inflorescence (d) as well as habit of the whole plant in its natural habitat (e) in August. f, conserved terminal leaf lobes (scale bar: 1 cm). g, the glaucous stem with dried basal leaves (August). h, macrophoto of a flower conserved in ethanol-glycerol solution (scale bar: 1 mm) (by A. Szabó and A. Mátis).
FIGURE 3. A in Validation of the name Quercus protoroburoides (Fagaceae)
FIGURE 3. A. Abaxial epidermis in Q. protoroburoides with three types of trichomes: glandular, star-like (2–4 ray) and bunch trichomes, in Brichebor locality; B. Abaxial epidermis in Q. protoroburoides: star-like and bunch trichomes, in Pavlov Dol locality; C. Abaxial epidermis in Q. protoroburoides: 4-ray star-like trichomes coalesced asymmetrically 2 × 2 into a scale; D. Shape of the gynaeceum styles in Q. protoroburoides;
FIGURE 2. A in Validation of the name Quercus protoroburoides (Fagaceae)
FIGURE 2. A. Twig with buds and acorn cup on a long stalk of Q. protoroburoides in winter, in Pavlov Dol locality, 20.04.2007; B. Twig, buds and acorn cup on a short stalk of Q. protoroburoides in winter, in Pavlov Dol locality, 20.04.2007.; C. Twigs with fruits of Q. protoroburoides in Drushlyavitsa locality, 11.09.2015.:D. Ear-like cut lamina base, petiole and indumentum of Q. protoroburoides.; E. Fruits of Q. protoroburoides in Drushlyavitsa locality, 11.09.2015.: F. Shape of the acorn-cup scales in Q. prototoburoides.
FIGURE 1 in On the validity, synonymy and distribution of some Lapideacassaceae (Haptophyta)
FIGURE 1. Some Late Cretaceous representatives of the genus Mennerius. A. M. longus, Turonian, Ukraine; 48a, holotype. B. M. morosus, Turonian, Ukraine; 49a, holotype. C. Mennerius sp. A cf. M. bispinosus, Campanian, Ukraine. D. Mennerius sp. B cf. M. bispinosus, Lower Maastrichtian, Russia. E. M. cornutus, Lower Maastrichtian, Russia. F. Mennerius sp. A., Cenomanian, Israel. Scale bars 5 μm. (Figures 1A, 1B after Luljeva (1967); Figure 1C after Matveev (2015); Figures 1D–F, crossed nicols)
FIGURE 2 in Validation of Hymenasplenium laterepens (Aspleniaceae): evidence from morphology and molecular analyses
FIGURE 2. Maximum likelihood phylogeny of the nuclear gene LEAFY dataset. Maximum parsimony and Bayesian analyses recovered identical topologies. For each node, the following values are provided: maximum parsimony bootstrap (%) / maximum likelihood bootstrap (%) / and posterior confidence (p-value). Columns on the right refer to species names commonly accepted for each clade. Terminals with the same OTU name represent different sequences at the duplicated gene loci of the same accession.
FIGURE 1 in Validation of Hymenasplenium laterepens (Aspleniaceae): evidence from morphology and molecular analyses
FIGURE 1. Maximum likelihood phylogeny based on the concatenated plastid DNA sequence dataset. Maximum parsimony and Bayesian analyses recovered identical topologies with respect to the relationships among the main clades of the paleotropical Hymenasplenium. For each node, the following values are provided: maximum parsimony bootstrap (%) / maximum likelihood bootstrap (%) / and posterior confidence (p-value). Columns on the right refer to species names commonly accepted for each clade. Outgroup taxa are shown as the sister to the paleotropical Hymenasplenium.
FIGURE 5. Hymenasplenium laterepens—A in Validation of Hymenasplenium laterepens (Aspleniaceae): evidence from morphology and molecular analyses
FIGURE 5. Hymenasplenium laterepens—A: habit; B: plant; C: long creeping rhizome; D: Adaxial surface of pinnae in middle part of leaf; E: Abaxial surface of pinnae in middle part of leaf; F: spore. Scale bars: A=10 cm; B=2 cm; C–E=1 cm; F=10 μm.
FIGURE 4 in Validation of Hymenasplenium laterepens (Aspleniaceae): evidence from morphology and molecular analyses
FIGURE 4. Comparison of frond sketches of representative specimens for the four species recognized in China that were previously identified as "H. unilaterale".
FIGURE 3 in Validation of Hymenasplenium laterepens (Aspleniaceae): evidence from morphology and molecular analyses
FIGURE 3. Chromosomes at meiotic metaphase I of spore mother cells of Hymenasplenium laterepens, 2n=ca. 117.
FIGURES 1–3 in Validation of five diatom novelties published in "Freshwater Benthic Diatoms of Central Europe" and taxonomic treatment of the neglected species Tryblionella hantzschiana
FIGURES 1–3. Tryblionella hantzschiana Grunow reproduced from Grunow (1862: pl. XVIII: 29a, b, c), Original material (Scale bar: 10 μm), cited by Rabenhorst (1864–1868) and corresponding to pl. 27: fig. 1 in Krammer & Lange-Bertalot (1988), pl. 103, fig. 14 in Hofmann et al. (2013), and pl. 105, fig. 14 in Lange-Bertalot et al. (2017).
Validation of the pelvic attachment mechanism of NIMBLE, an ambulatory user support gait rehabilitation robot.
<p>Description of the project<br><span><span>NIMBLE project aims to design and validate a novel gait rehabilitation robot. The objective of the robot is to provide ambulatory, body-weight supported walking training assisting user's limbs and its center of mass. The NIMBLE robot is comprised by a robotic frame, a lower limb exoskeleton, and a exoskeleton-frame coupling mechatronics that allows to assist the user's center of mass.</span></span></p> <p>Description of the dataset<br><span><span>This dataset contains the results of an experiment conducted to assess the alteration on walking kinematics due to the mechatronic device coupling the frame and the exoskeleton.</span></span></p> <p>--------------------------<br>METHODOLOGY<br>--------------------------<br>1. Methodology<br>The walking kinematics were recorded and analyzed at slow (0.5 m/s) and normal (1 m/s) speeds under three different conditions: unrestricted walking, walking while wearing the Exo-H3 corset, and walking while wearing the Exo-H3 corset coupled to the robotic frame. Only the corset is worn, to isolate and evaluate the direct impact of the designed mechanism without the kinematic restrictions imposed by the exoskeleton. This approach ensures that the effects observed are solely attributable to the mechanism itself, avoiding any confounding influences from the exoskeleton. This approach allows the evaluation of the influence of the exoskeleton corset, as it is a required component to secure the user to the robotic frame, and a comparison of its impact with that of the robotic frame. For this purpose, joint angles and their maximum and minimum values and ranges of motion (ROM) are analyzed in both the sagittal and frontal planes, along with the step width and the displacement of the CoM in the vertical and horizontal directions.</p> <p>2. Software<br>Data were collected using Kinovea and then processed and analyzed using Matlab.</p> <p>--------------------------<br>FILES<br>--------------------------<br>1. Files <br>One ".m" file is included. For each subject (idX), three subfolders are found:<br>- Calib folder: it contains the initial position and angular value of the markers and angles analyzed.<br>- frontal folder: for both speeds and the three analyzed conditions (Unrestricted walking CL, wearing the corset CC, and attached to the robotic frame CML), it contains the raw data, filtered data, segmented data normalized by gait cycles, mean and standard deviation data of those segmented cycles, and normalized data using the initial value from Calib file, for every marker position in the frontal plane (ankle, knee, hip and center of mass). Also, segmented, mean and deviations are presented from angular values in the frontal plane (right and left hip abduction and pelvic list).<br>- sagittal folder: for both speeds and the three analyzed conditions (Unrestricted walking CL, wearing the corset CC, and attached to the robotic frame CML), it contains the raw data, filtered data, segmented data normalized by gait cycles, mean and standard deviation data of those segmented cycles, and normalized data using the initial value from Calib file, for every marker position in the sagittal plane (hip, knee, ankle and toe tip). Also, segmented, mean and deviations are presented from angular values in the frontal plane (hip, knee and ankle flexo-extension).</p> <p>In addition, one average folder (media) includes average data for the statistical analysis. Signals subfolder includes all segmented data from the previous variables for every speed and conditions, joining the data from every subject in one table, a total of 50 samples (10 segmented cycles x 5 subjects). Value subfolder includes maximum, minimum and ranges of motion of angular variables. Every variable has 50 rows (10 segmented cycles x 5 subjects) and 3 columns (CL, CC, and CML conditions). Also mean step width is presented, as the distance between ankle markers in the frontal plane.</p> <p>--------------------------<br>OTHERS<br>--------------------------<br>1. Data dictionary<br>speed05: data collected at 0.5 m/s<br>speed1: data collected at 1 m/s<br>CL: Unrestricted walking condition<br>CC: Wearing the corset condition<br>CML: Attached to the robotic frame condition<br>R: right leg<br>L: left leg<br>x: horizontal direction<br>y: vertical direction<br>ANKLE, KNEE, HIP, COM: ankle, knee, hip, and virtual center of mass markers in the frontal plane.<br>HIP_lat, KNEE_lat, ANKLE_lat and TOE_lat: hip, knee, ankle, and toe tip markers in the sagittal plane.<br>Abd: hip abduction angle.<br>Hip_Angle, Knee_Angle, Ankle_Angle: hip, knee, and ankle flexo-extension angles.</p> <p>--------------------------<br>SPONSORSHIP INFORMATION AND GRANT IDs<br>--------------------------<br>1. Grant Information<br>This work is part of the R&D project PID2021-123657OB-C32, funded by MCIN/ AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”.</p>
Biodenoising validation
<p>Biodenoising_validation is a benchmark dataset for animal vocalization denoising. It contains 62 pairs of clean animal vocalizations and noise excerpts. </p> <p>We list the data sources in the clean.csv and noise.csv files.</p> <p>The dataset is created at two sample rates: 16000 and 44100. Each subfolder contains the clean, noise, and noisy subfolders with the accompanying metadata related to the data sources.</p> <p><strong>Methodology</strong><br>We programatically create mixtures by pairing vocalizations of noise at random Signal-to-Noise Ratios (SNR) from an uniform distribution between -5 and 10 dB (2.8 average SNR). To ensure reproducibility, we start with a fixed seed that controls the SNR of the mixtures. The samples are between 1 to 60 seconds long (20.14 seconds on average). We split the vocalizations and noises into two lists: underwater (11 vocalizations and 26 noises) and terrestrial (51 vocalizations and 20 noises). For each separate case, we sort the vocalizations and the noise samples and pair them in the order of their duration e.g. matching the longest calls with longest noises. </p> <p><strong>Citation</strong><br>Miron, Marius, Sara Keen, Jen-Yu Liu, Benjamin Hoffman, Masato Hagiwara, Olivier Pietquin, Felix Effenberger, Maddie Cusimano, "Biodenoising: animal vocalization denoising without access to clean data," </p> <p><strong>License</strong><br>This dataset is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders.</p> <p><strong>Contact</strong> <br>info@mariusmiron.com</p>
Implementation of a Multi-Channel DASH7 IoT Communication System for Packet Investigation and Validation
<p>This repository contains three cabled <a href="https://www.dash7-alliance.org/" target="_blank" rel="noopener">DASH7</a> data sets. All data sets are formatted as sigmf-data and sigmf-meta pairs, which can be investigated using <a href="https://iqengine.org/" target="_blank" rel="noopener">IQEngine</a>, <a href="https://www.gnuradio.org/" target="_blank" rel="noopener">GNU Radio</a>, or <a href="https://www.mathworks.com/products/matlab.html" target="_blank" rel="noopener">MATLAB</a>. Below you can find a more extended description of the data sets.</p> <p><strong>CH0.zip, CH93.zip, CH186.zip:</strong></p> <ul> <li>Cabled data sets of 3 channels</li> <li>10 recordings per channel</li> <li>1 DASH7 packet per file pair (SigMF)</li> <li>Fc: 866.5 MHz</li> <li>Sample rate: 7.68 MHz</li> <li>Data type: ci16_le</li> <li>Length: 1 second</li> <li>Channel class: Lo-Rate</li> <li>Sync word: 0x0B67</li> <li>3 Lo-Rate channel recordings <ul> <li>channel 0 (Fc: 863.0125 MHz), </li> <li>channel 93 (Fc: 865.3375 MHz), </li> <li>channel 186 (Fc: 867.6625 MHz)</li> </ul> </li> <li>Payload: 3 bytes [counter_byte 0xAB 0xCD] <ul> <li>counter byte is always [0x00]</li> </ul> </li> </ul> <p><strong>logs.zip:</strong></p> <ul> <li>Contains all the DASH7 gateway logs per measured channel.</li> </ul>
The perceived environmental sustainability (PENSUS) scale for food and drinks: Development and validation among young consumers in Belgium
<p>These are the datasets used in the development, refinement and validation of the Perceived Environmental Sustainability (PENSUS) scale for Food and Drinks. This includes datasets for two surveys and four experiments. </p>
Manually validated PageXML files for images in "Diario del soldato Bruno Celestino"
<p><span>Transcribed diary of Italian soldier Bruno Celestino in World War I (52 pages in total) in PageXML format (pages 2 to 49 were transcribed). These files are useful for training a handwritten text recognition model. The PageXML files were created by applying Transkribus' Italian Handwriting M1 model (<span>https://readcoop.eu/model/italian-general-model/</span>) on the images at https://europeana.transcribathon.eu/documents/story/?story=110659, automatically correcting the output using the flat-text manual transcription available with these images, and manually validating the resulting PageXML files. The software for automatically correcting OCR output using flat-text manual transcriptions (and hence adding a link between image and text not present in the flat-text files) has been developed as part of the AI4Culture project (https://pro.europeana.eu/project/ai4culture-an-ai-platform-for-the-cultural-heritage-data-space).<br></span></p> <p> </p> <p> </p>
Identification of crashworthy designs combining active learning and the solution space methodology - Validation and training dataset
<p>Dataset and Python codes for training a crashworthiness classifier.</p>
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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.