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4,563
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4,563 results for “correlations”
Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients
GEO Series GSE178404. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing.
Correlation between immune lymphoid cells and plasmacytoid DCs in colon cancer
GEO Series GSE127934. Homo sapiens. 14 samples. Type: Expression profiling by high throughput sequencing.
MRI-informed muscle biopsies correlate MRI with pathology and DUX4 target gene expression in FSHD
GEO Series GSE115650. Homo sapiens. 43 samples. Type: Expression profiling by high throughput sequencing.
Electrophysiological Maturation of Cerebral Organoids Correlates with Dynamic Morphological and Cellular Development
GEO Series GSE157019. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.
llumina 450k array was used to identify DNA methylation data from formalin-fixed paraffine-embedded (FFPE) human uveal melanoma correlated to gene expression, metastasis and poor prognosis
GEO Series GSE156876. Homo sapiens. 23 samples. Type: Methylation profiling by array.
Vulnerability and life-history traits correlate with the load of deleterious mutations in fish
<p><strong>Phylogenetic dataset associated to the article : Vulnerability and life-history traits correlate with the load of deleterious mutations in fish</strong></p> <ul> <li>fastagenes.tar.gz : all the fasta file alignments used for the study.</li> <li>teleost.tr: phylogenetic tree used for mapnh et codeml analyses.</li> <li>tree-date.tr : phylogenetic tree used to control for phylogeny (tip labels corresponding to alignments).</li> <li>tree-date_spNames.tre : phylogenetic tree used to control for phylogeny (tip labels = species names).</li> <li> <p>ENSDARE00000004235_nucl.fasta.bppml_dnds: example of option file for bppml.</p> </li> <li> <p>ENSDARE00000004235_nucl.fasta.mapnhYN98: example of option file for mapnh.</p> </li> <li> <p>ENSDARE00000004235_nucl.phylip.ctl: example of control file for codeml.</p> <p> </p> <p> </p> <p> </p> </li> </ul>
Data for ""Approximate multifractal correlation and products of universal multifractal fields, with application to rainfall data" by Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer, NPG 2020
<p>This data set corresponds to the python scripts and data that were used for the paper :<br> “Approximate multifractal correlation and products of universal multifractal fields, with application to rainfall data” by Auguste Gires, Ioulia Tchiguirinskaia, and Daniel Schertzer which has been published in 2020 in Nonlin. Processes Geophys. (https://www.nonlinear-processes-in-geophysics.net/).</p> <p>Should this data be used, the above mentioned paper should be cited.</p>
Raw Data to 'Decay and recurrence of non-Gaussian correlations in a quantum many-body system', arXiv:2003.01808
<p><strong>Absorption images</strong> representing the raw data for <strong>arXiv:2003.01808</strong>, Nature Physics (2021). <a href="https://doi.org/10.1038/s41567-020-01139-2">https://doi.org/10.1038/s41567-020-01139-2</a></p> <p>'scan5100.zip' contains the raw data for figure 2.</p> <p>'scan8679.zip', 'scan8685.zip', and 'scan8696.zip' contain the raw data for the left, middle, and right subplot of figure 3 respectively.</p> <p>The absorption images are numbered consecutively.</p> <p>The first image (for all scans) is taken in the direction of the double-well (DW) separation with our 'transverse' imaging system. The measurement is performed before ramping up the DW barrier. The image is taken after 11 ms time of flight (TOF). Two images are taken. One image with atoms ('1-atomcloud.tif'), and a second image to record the intensity of the imaging beam without atoms ('1-withoutatoms.tif').</p> <p>The subsequent images record the interference fringes for the different evolution times (again always pairs '-atomcloud.tif' and '-withoutatoms.tif'). They are taken with our 'vertical' imaging system after 15.6 ms TOF. The imaging direction is perpendicular to the weakly confined direction of the clouds as well as the DW separation.</p> <p>The recorded evolution times for scan 5100 are -2 ms (right before ramping the DW barrier up), 0 ms (right after the DW barrier is ramped up), and then in 3 ms steps until 18 ms. I.e., '2-atomcloud.tif' corresponds to -2 ms, '9-atomcloud.tif' corresponds to 18 ms. This completes the 'first repeat'. The next picture '10-atomcloud.tif' then belongs to the 'second repeat' and is again taken with the 'transverse' imaging system. The picture '11-atomcloud.tif' is then again taken with the 'vertical' imaging and corresponds to -2 ms. And so forth.</p> <p>In the same way, the pictures for the other scans are ordered, only the recorded evolution times are different. The evolution times are (in ms):</p> <p>scan 8679: -1.2, 0, 2.5, 5, 20 in steps of 2.5 until 32.5<br> scan 8685: -1.3, 0, 2.5, 5, 20 in steps of 2.5 until 32.5<br> scan 8696: -1.6, 0, 2.5, 5, 20 in steps of 2.5 until 32.5</p> <p>The first time always corresponds to right before the DW barrier is ramped up. 0 is always right after the barrier was ramped up.</p> <p>Note that for scan 8696 only the repeats 1 to 193, 215 to 246, 262 to 281, and 295 to 330 have been used. For the other repeats the digital micromirror device (DMD) shaping the optical dipole potential has failed.</p> <p>In addition to the data a matlab script is provided, illustrating how to extract the two dimensional atomic density from the absorption images. It contains all relevant parameters of the imaging systems.</p>
Figure 8 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 8 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.
Figure 4 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 4 Linearity on profiles of dissolution test at pH 4.5.
Figure 7 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 7 In vitro dissolution profiles of amlodipine at pH 4.5 mean ± SD, n = 3.
Figure 5 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 5 Linearity on profiles of dissolution test at pH 6.8.
Figure 3 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 3 Linearity on profiles of dissolution test at pH 1.2.
Figure 1 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 1 The chemical structure of amlodipine.
Figure 6 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 6 In vitro dissolution profiles of amlodipine at pH 1.2 mean ± SD, n = 3.
Figure 9 from: Logoyda L (2020) Efficient validated method of HPLC to determine amlodipine in combinated dosage form containing amlodipine, enalapril and bisoprolol and in vitro dissolution studies with in vitro/ in vivo correlation. Pharmacia 67(2): 55-61. https://doi.org/10.3897/pharmacia.67.e48220
Figure 9 In vitro dissolution profiles of amlodipine at pH 6.8 mean ± SD, n = 3.
data set related to article Clinical and electroencephalographic correlates of psychiatric features in children with frontal lobe epilepsy
<p>This record contains raw data related to article Clinical and electroencephalographic correlates of psychiatric features in children with frontal lobe epilepsy</p>
Cross-Correlation of Planck CMB Lensing with DESI-Like LRGs: Derived Data Supplement
<p>These are the derived data products from <a href="https://arxiv.org/abs/2010.04698">arXiv:2010.04698</a>.</p> <p><strong>cluster_dndz</strong> gives the clustering-based galaxy redshift distribution, as described in Sec 3 and plotted in Fig 5.</p> <p><strong>Cgg_Ckg_obs</strong> gives the binned power spectra (with magnification bias and noise terms already subtracted) and their errors, as described in Sec 4 and plotted in Figs 12 and 14.</p>
Data for "An unknown maximum lag-correlation between rainfall and aerosols at 140-160 minutes"
<p>This repository contains all rain and aerosols datasets analyzed in the study: "An unknown maximum lag-correlation between rainfall and aerosols at 140-160 minutes", submitted to GRL.</p>
Cross-correlation functions, dispersion data, and 3D velocity models of the Chao lake
<p>We obtained a 3-D isotropic and azimuthal anisotropic model beneath the Chao Lake. These datasets contain the cross-correlation functions, dispersion data we picked, and the models we obtained.</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.