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1,840 results for “Representative”
Figs 5–6 in New and little known representatives of the genus Chrysolina Motschulsky, 1860 (Coleoptera: Chrysomelidae) from China
Figs 5–6. Aedeagus in dorsal and ventro-lateral view. 5 – Chrysolina pubitarsis Bechynĕ
Figs 7–8 in New and little known representatives of the genus Chrysolina Motschulsky, 1860 (Coleoptera: Chrysomelidae) from China
Figs 7–8. Habitus of Chrysolina (Arctolina) tshingilica sp. n. 7 – male (holotype); 8 –
BIR-MicroED: selected area electron diffraction tilt series datasets used to determine representative structures of biotin, Cu(II)-serine, Zn(II)-methionine, Zn(II)-histidine, and Co(II)-porphyrin
<div> <div> </div> </div> <div> <p>This deposition contains a series zip files each containing electron diffraction datasets in .mrc file format (except for the data collected from Co(II) porphyrin, which are 300 kV data in .tvips file format). Each folder collects data acquired from crystals of a particular compound under the same conditions (electron energy, temperature), where the reduced data from each were merged to determine a single representative structure of the compound by microED. Zip files are named according to the format: <em>"CompoundName</em>_<em>AcceleratingVoltage</em>_<em>Temperature_</em>structuredatasets.zip"</p> <p>Diffraction datasets within each folder are named according to the format: <em>CompoundName</em>_structuretiltseries_<em>AcceleratingVoltage</em>_<em>Temperature</em>_crystal#.mrc (or .tvips).</p> <p>All 200 kV datasets were collected with a rotation speed of 1 degree/second and an effective frame rate of 1 frame/second, with the exception of two Zn(II) methionine datasets collected with a frame rate of 3 frames/second. These are noted by the presence of "3fps" in the file name.</p> <p>All 300 kV datasets were collected with a rotation speed of 0.03 degrees/second and a frame rate of 0.5 frames/second.</p> </div>
FIGURE 1 in New fossil representative of the genus Helius (Diptera, Limoniidae) from the little known and newly discovered locality Caergen Village of northeastern Tibetan Plateau (China)
FIGURE 1. Map showing the location of the fossil site near Caergen Village.
Fig. 6 in Molecular characteristics of representatives of the genus Brachylecithum Shtrom, 1940 (Digenea, Dicrocoeliidae) with comments on life cycle and host specificity
Fig. 6 Possibilities of the B. lobatum life cycle
Data from: Analysis of genotyping data reveals the unique genetic diversity represented by the breeds of sheep native to the United Kingdom
<p><strong>Background: </strong>Sheep breeds native to the United Kingdom are noted for high breed variability and exhibit a striking diversity of different traits in phenotypes and genetic diversity. Some of these traits are highly sustainable, such as seasonal wool shedding in the Wiltshire Horn, are likely to become more important as pressures on sheep production increase in coming decades. Despite their clear importance to the future of sheep farming, the genetic diversity of native UK sheep breeds is poorly characterised. This increases the risk of losing the ability to select for breed-specific traits from native breeds that might be important to the UK sheep sector in the future. Here, we use 50K genotyping to perform preliminary analysis of breed relationships and genetic diversity within native UK sheep breeds, as a first step towards a comprehensive characterisation. This study generates novel data for thirteen native UK breeds, including 6 on the UK Breeds at Risk (BAR) list, and utilises existing data from the publicly available Sheep HapMap dataset to investigate population structure, heterozygosity and admixture.</p> <p><strong>Results: </strong>In this study the commercial breeds exhibited high levels of admixture, weaker population structure and had higher heterozygosity compared to the other native breeds, which generally tend to be more distinct, less admixed, and have lower genetic diversity and higher kinship coefficients. Some breeds including the Wiltshire Horn, Lincoln Longwool and Ryeland showed very little admixture at all, indicating a high level of breed integrity but potentially low genetic diversity. Population structure and admixture were strongly influenced by sample size and sample provenance – highlighting the need for equal sample sizes, sufficient numbers of individuals per breed, and sampling across multiple flocks. The genetic profiles both within and between breeds were highly complex for UK sheep, reflecting the complexity in the demographic history of these breeds.</p> <p><strong>Conclusion: </strong>Our results highlight the utility of genotyping data for investigating breed diversity and genetic structure. They also suggest that routine generation of genotyping data would be very useful in informing conservation strategies for rare and declining breeds with small populations sizes. We conclude that generating genetic resources for the sheep breeds that are native to the UK will help preserve the considerable genetic diversity represented by these breeds, and safe guard this diversity as a valuable resource for the UK sheep sector to utilise in the face of future challenges.</p>
Figure 1 in A new subgenus representing a newly recorded genus from China, with a new species featured with special palps (Acari, Hydryphantoidea, Hydryphantidae, Partnunia)
Figure 1 Photo of thePartnunia (Peculiaripalpus) longlingensis sp. nov. site.
Figure 13 in Two species representing a rare genus Sinaxonopsis (Acari, Hydrachnidiae, Aturidae) from China, with discussion of some taxonomic features
Figure 13 Sinaxonopsis hainanensis sp. nov., ♂ holotype (HN-AT-202304130201), habitat photographs.
Fig. 1 in Ricania japonica Melichar, 1898 - a representative of family Ricaniidae (Homoptera, Fulgoromorpha), new to the fauna of Bulgaria
Fig. 1. Ricania japonica, female.
Figures 25–26. Cylisticus convexus. 25. Habitat. 26 in The terrestrial isopod, Cylisticus convexus (de Geer, 1778), representing a new record family in China (Oniscidea)
Figures 25–26. Cylisticus convexus. 25. Habitat. 26. Living adult.
A corpus of Java projects representing the 2012 Ohloh universe
<p>A corpus of Java projects build using the Software Projects Sampling (SPS) tool by Naggapan et al [1]. SPS measures representativeness of a smaller corpus with respect to the universe (Ohloh 2012) in terms of diversity dimensions and constructs a maximally representative corpus by iteratively adding projects that would increase the representativeness most.</p> <p>The corpus contains the source code of the projects selected at 1 June 2012. This is due to the fact that the Ohloh data on which the diversity was calculated was of that period.</p> <p> </p> <p>[1] M. Nagappan, T. Zimmermann, and C. Bird, “Diversity in software engineering research,” in ESEC/FSE. ACM, 2013, pp. 466–476.</p>
Replication Package: Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations
<p>This is the replication package for the publication <em>Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations</em>, Journal of Software Testing, Verification and Reliability (STVR), Special Issue on Testing Extra-Functional Properties. It contains the JSON/YAML schema of the Input Data and Properties Annotation (IDPA) as well as the experiment artifacts, the experiment results, and the R-scripts we used for the analysis.</p> <p>The README.md (or README.pdf) contains further descriptions and instructions.</p>
Pulse Wave Database (PWDB): A database of arterial pulse waves representative of healthy adults
<p><strong>Overview</strong></p> <p>This database of simulated arterial pulse waves is designed to be representative of a sample of pulse waves measured from healthy adults. It contains pulse waves for 4,374 virtual subjects, aged from 25-75 years old (in 10 year increments). The database contains a baseline set of pulse waves for each of the six age groups, created using cardiovascular properties (such as heart rate and arterial stiffness) which are representative of healthy subjects at each age group. It also contains 728 further virtual subjects at each age group, in which each of the cardiovascular properties are varied within normal ranges. This allows for extensive <em>in silico</em> analyses of haemodynamics and the performance of pulse wave analysis algorithms.</p> <p><strong>Data Description</strong></p> <p>The database contains the following waves:</p> <ul> <li>arterial flow velocity (U),</li> <li>luminal area (A),</li> <li>pressure (P), and</li> <li>photoplethysmogram (PPG).</li> </ul> <p>These pulse waves are provided at a range of measurement sites, including:</p> <ul> <li>aorta (ascending and descending)</li> <li>carotid artery</li> <li>brachial artery</li> <li>radial artery</li> <li>finger</li> <li>femoral artery</li> </ul> <p>The data are available in three formats: Matlab, CSV and WaveForm Database (WFDB) format. Further details of the formatting and contents of each file are available at: <a href="https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database">https://github.com/peterhcharlton/pwdb/wiki/Using-the-Pulse-Wave-Database</a></p> <p><strong>Accompanying Publication</strong></p> <p>The database is described in the following publication:</p> <p><a href="https://peterhcharlton.github.io/pwdb/pwdb_article.html">Charlton P.H., Mariscal Harana, J., Vennin, S., Li, Y., Chowienczyk, P. & Alastruey, J., “Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices,”</a> [under review]</p> <p>Please cite this publication when using the database.</p> <p><strong>Further Information</strong></p> <p>Further information on the Pulse Wave Database project can be found at: <a href="https://peterhcharlton.github.io/pwdb/"><em>https://peterhcharlton.github.io/pwdb/</em></a></p> <p><strong>Version History</strong></p> <p> </p> <p><strong>Version 0.1.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong></p> <p><strong>Version 0.2.0 : provided for peer review of "Modelling arterial pulse waves in healthy ageing: a database for in silico evaluation of haemodynamics and pulse wave indices"</strong></p>
Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioning of Arctic mixed-phase clouds with NCAR CAM5
<p>The model simulation outputs for the paper "Impacts of representing heterogeneous distribution of cloud liquid and ice on phase partitioningof Arctic mixed-phase clouds with NCAR CAM5".</p>
Group diagrams for representing trajectories
<p>The provided data is a subset of the data set <em>LifeTrack Geese IGRAS MPIO ICARUS</em> maintained by movebank.org. </p> <p><strong>Please contact Andrea Kölzsch (akoelzsch@orn.mpg.de) before using the data</strong> in order to obtain essential information on how to correcty handle the data. </p> <p>The provided code to compute group diagrams based on equal-time distance or Fréchet distance is at the stage of prototyping in order to support the findings of the corresponding paper "Group diagrams for representing trajectories" by Maike Buchin, Bernhard Kilgus, and Andrea Kölzsch. For questions about using the code, remarks and suggestions please contact Bernhard Kilgus (bernhard.kilgus@rub.de). </p>
Figure 7 in A new species of Amolops (Anura: Ranidae) representing the morphological 'Marmoratus species group' from Sessa Orchid Sanctuary, Arunachal Pradesh, Northeast India
Figure 7. Maximum likelihood tree based on 560 bp of mt 16s rRNA for the species of Amolops.
Figure 1 in Evolutionary relationships among several species from the genus Cricotopus (Diptera: Chironomidae): What about Turkish representatives of this genus?
Figure 1. Sampling localities of the collected Cricotopus specimens in this study.
Dataset of synthetic whole-body bone scintigraphy scans representing three clinical conditions
<p>We here provide an image dataset consisting of 1,000 synthetic whole-body bone scintigraphy scans (anterior projection) generated by a generative artificial intelligence model. This dataset consists of images representing three different clinical conditions: (1) bone uptake indicative of bone metastases, (2) cardiac uptake indicative of cardiac amyloidosis, and (3) none of the two.</p> <p>The clinical condition (label) of each image is provided in the csv file:</p> <ul> <li>Label 1: Bone uptake indicative of bone metastases (n=250 scans)</li> <li>Label 2: Cardiac uptake indicative of cardiac amyloidosis (n=250 scans)</li> <li>Label 0: None of the two (n=500 scans)</li> </ul> <p>This synthetic dataset does not comprise real patient data. The provided synthetic images were created by a generative artificial intelligence model. The model was trained on bone scintigraphy scans (radiotracer: 99mTc-DPD) from 9,170 patients from the Vienna General Hospital collected as part of the clinical routine. The training data covered a wide range of different pathologies, scanners, and imaging protocols. Hence, the provided synthetic dataset represents real-world data without disclosing patient privacy.</p> <p>More details about the dataset can be found in the corresponding paper (link added upon publication). Please cite this paper if you use the dataset.</p>
Representative records: representative records
exemplary records to represent a single typical value of an attribute for a taxon. This resource lists existing records that are tagged in the database as representative (REP) and/or primary (PRM) records. Records for adult lifestages are preferred where appropriate (eg, for body size) and measures of central tendency are preferred (eg: mean, median). Multiple records with similar metadata may be selected as Representative (REP) records. A record from the middle of a numerical value range is also tagged as the Primary (PRM) record. For instance, a plant with height records (all for mature plants and representing the mean of a dataset) of 60cm, 79cm, and 1m will have a PRM record of 79 cm. Categorical values are summarized by superclass (umbrella) categories. A species reported from Brazil, Venezuela, and Argentina will have a PRM record for South America.<p></p>For questions or use cases calling for large, multi-use aggregate data files, please visit the EOL Services forum at <p></p>http://discuss.eol.org/c/eol-services
FIGURE 2 in New representative of the family Panorpodidae (Insecta, Mecoptera) from Eocene Baltic Amber with a key to fossil species of genus Panorpodes
FIGURE 2. Drawing of Panorpodes gedanensis sp. n. fore wing of holotype no. 1193-2.
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.