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4,325
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4,325 results for “real”
Real-time quantitative PCR analysis of apple seeds
GEO Series GSE207591. Malus domestica. 18 samples. Type: Expression profiling by RT-PCR.
Real-time quantitative PCR analysis of primary human dermal fibroblasts: young, old and treated with GC4419
GEO Series GSE100921. Homo sapiens. 4 samples. Type: Expression profiling by RT-PCR.
Real-time quantitative PCR analysis of murine splenic chemokines and cytokines
GEO Series GSE84248. Mus musculus. 12 samples. Type: Expression profiling by RT-PCR.
Real-time quantitative PCR analysis of mice lung tissue
GEO Series GSE52720. Mus musculus. 16 samples. Type: Expression profiling by RT-PCR.
Perceptual comparison between the auralized and the real room for a classroom scenario - listening test results
<p>The raw data of the listening test.</p>
Supplementary Table 1 Mean ELISA S/P% value and real-time RT-PCR Ct values
<p>Shown are the mean ELISA S/P% value and real-time RT-PCR Ct values</p>
Supplementary table 1 Mean ELISA S/P% value and real-time RT-PCR Ct values.
<p>Mean ELISA S/P% value and real-time RT-PCR Ct values for 28 days post infection are shown</p>
9-10-1014: The gas-phase oxidation of mixed organic films at the air-water interface – testing for cloud climate effects in more representative proxies of real clouds
<p>Binned Neutron Data for the titled experiment 9-10-014</p>
Driving data for simulated sleepiness, real sleep deprivation and normal controls.
<p>The data set is an output of the Track and Know project to be shared with the scientific community. The data set contains the output of a monitoring app recorded during a series of journeys organised in two sub sets.</p> <p>The first subset of data was recorded from journeys made on different days around a</p> <p>circular route by a single driver. On different iterations of the journey the driver determined to drive either; as carefully as possible, normally or poorly. The intention of the poor driving was to imitate sleepy driving with harsh breaking, cornering and acceleration and deliberate lane drifting. The data set is designed to allow the development of algorithms to detect different driving behaviours</p> <p>The second data set was generated by 3 volunteers who were engaged in shift work. The journeys consist of trips to work and home at different times of day and other journeys not related to work. The intention of the data set is to allow comparisons to be made between journeys undertaken by the drivers when sleep replete and sleep deprived (after working a night shift).</p> <p>The data are enriched with weather information pertaining to the date, time and location of each journey.</p>
Reality Check: Assessing The Limits of GPT-4 in Fixing Real-World Software Vulnerabilities [Online Appendix]
<p>Online appendix for the paper entitled "Reality Check: Assessing The Limits of GPT-4 in Fixing Real-World Software Vulnerabilities"</p><p>This package includes</p><ul><li>The used prompts in our prompt engineering workflow.</li><li>Detailed results of our pilot evaluation</li><li>Results from the paper</li></ul>
Fiscal policy and the real exchange rate: some evidence from Spain
Open the record for dataset details and reuse information.
desCOLOCADOS. Episodio 5. Siempre hay esperanza. Testimonio real
Open the record for dataset details and reuse information.
FIGURE 2. Devario browni. BMNH 1907.10.22 in The real Devario browni from the Irrawaddy River basin, and the new Devario ahlanderi from the Salween River basin in Myanmar (Teleostei: Cyprinidae: Danioninae)
FIGURE 2. Devario browni. BMNH 1907.10.22:1–4; A, Lectotype, male 57.0 mm SL; B, Paralectotype, female, 52.5 mm SL; Northern Shan States.
Multi-Objective Personnel Scheduling Problem with Multiple Qualification and Client's Satisfaction: Real Case
Open the record for dataset details and reuse information.
FIGURE 12. Adult female P in In search of the real Pseudomallada prasinus (Neuroptera, Chrysopidae)
FIGURE 12. Adult female P. prasinus (Faido, Ticino, Switzerland) with pear-shaped black interantennal spot, costal cross veins with a green center part of more than 60%, and an intramedian cell (im cell) surrounded by three mainly white veins. Abdomen without dorsal spots.
FIGURE 10 in In search of the real Pseudomallada prasinus (Neuroptera, Chrysopidae)
FIGURE 10. Quadratic Discriminant Analysis. Forewing length (in mm) and portion of dark veins around intramedian (im-) cell (for darkness classes 1–6 see Fig. 5) as main components for separating the "real" P. prasinus from the other morphs. Females: greenhead N = 48, marianus N = 22, sulfurhead N = 20. Males: greenhead N = 46, marianus N = 21, sulfurhead N= 14. No overlap zone in females, small overlap zone in males.
FIGURE 1 in In search of the real Pseudomallada prasinus (Neuroptera, Chrysopidae)
FIGURE 1. Two sibling larvae of the "marianus" morph, both reared under long day conditions. The larger one developed into a mature L3, while the small one remained in obligatory diapause for six months as a second instar.
3D60 (Real Only - All Viewpoints)
<p>Modern 3D vision advancements rely on data driven methods and thus, task specific annotated datasets. Especially for geometric inference tasks like depth and surface estimation, the collection of high quality data is very challenging, expensive and laborious. While considerable efforts have been made for traditional pinhole cameras, the same cannot be said for omnidirectional ones.</p> <p><strong>3D60</strong> is a collective dataset generated in the context of various 360<sup>o</sup> vision research works. It comprises multi-modal omnidirectional stereo renders of scenes from realistic and synthetic large-scale 3D datasets (<em>Matterport3D</em>, <em>Stanford2D3D </em>and <em>SunCG</em>).</p> <p>Our dataset fills a very important gap in data-driven spherical 3D vision and, more specifically, for the monocular and stereo dense depth and surface estimation tasks.</p> <p>We originate by exploiting the efforts made in providing synthetic and real scanned 3D datasets of interior spaces and re-using them via ray-tracing in order to generate high quality, densely annotated spherical panoramas.</p>
GIR Dataset: A Geometry and real Impulse Response Dataset
<p>The GIR dataset is an open source dataset composed of more than 900k Impulse Responses (IRs). To foster the research in computational acoustics and in particular on the relationship between geometry and acoustic parameters, the measurements include acoustic responses acquired in 2952 positions and 312 surfaces. To maximize consistency, surfaces were 3D printed and the measurement process was automated using two robots. Detailed explanation of the dataset creation methods and possible applications are discussed in Rust <em>et al.</em> 2021 (<a href="https://doi.org/10.1177/1351010X20986901">https://doi.org/10.1177/1351010X20986901</a>) and Xydis <em>et al.</em> 2021 (in prep).</p> <p>The provenance and metadata tracked on Renku is enriched with the additional attributes recommended in the framework<a href="https://arxiv.org/abs/1805.03677"> dataset nutrition labels</a> and Schema.org note on<a href="https://schema.org/docs/data-and-datasets.html"> Data and Datasets</a>. This enriched metadata is provided in a standard JSON-LD format on Renku (<a href="https://renkulab.io/projects/ddad/gir-dataset/files/blob/dataset.json">dataset.json</a>) and on Zenodo as part of the published dataset (<a href="https://doi.org/10.5281/zenodo.5288744">https://doi.org/10.5281/zenodo.5288744</a>).</p> <p>Dataset is released under<a href="https://renkulab.io/projects/ddad/gir-dataset/files/blob/LICENSE"> the GNU General Public License v3.0</a></p>
Tracking the ATP-binding response in adenylate kinase in real time
<p>Simulation trajectories as basis for the structural refinement.</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.