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4,563 results for “correlations”
Fig. 5 in Biozonation And Correlation Of Two Wells In Niger Delta Using Calcareous Nannofossils
Fig. 5 Calcareous nannofossil stratigraphic chart of MAY-02 well.
Fig. 4 in Biozonation And Correlation Of Two Wells In Niger Delta Using Calcareous Nannofossils
Fig. 4 Calcareous nannofossil stratigraphic chart of MAY-01 well.
Data from: Single-molecule imaging correlates decreasing nuclear volume with increasing TF-chromatin associations during zebrafish development
Zygotic genome activation (ZGA), the onset of transcription after initial quiescence, is a major developmental step in many species, which occurs after ten cell divisions in zebrafish embryos. How transcription factor (TF)-chromatin interactions evolve during early development to support ZGA is largely unknown. We establish single molecule tracking in live developing zebrafish embryos using reflected light-sheet microscopy to visualize two fluorescently labeled TF species, mEos2-TBP and mEos2-Sox19b. We further develop a data acquisition and analysis scheme to extract quantitative information on binding kinetics and bound fractions during fast cell cycles. The chromatin-bound fraction of both TFs increases during early development, as expected from a physical model of TF-chromatin interactions including a decreasing nuclear volume and increasing DNA accessibility. For Sox19b, data suggests the increase is mainly due to the shrinking nucleus. Our single molecule approach provides quantitative insight into changes of TF-chromatin associations during the developmental period embracing ZGA.
Data from: Increased dopamine release after working-memory updating training: neurochemical correlates of transfer
Previous work demonstrates that working-memory (WM) updating training results in improved performance on a letter-memory criterion task, transfers to an untrained n-back task, and increases striatal dopamine (DA) activity during the criterion task. Here, we sought to replicate and extend these findings by also examining neurochemical correlates of transfer. Four positron emission tomography (PET) scans using the radioligand raclopride were performed. Two of these assessed DAD2 binding (letter memory; n-back) before 5 weeks of updating training, and the same two scans were performed post training. Key findings were (a) pronounced training-related behavioral gains in the letter-memory criterion task, (b) altered striatal DAD2 binding potential after training during letter-memory performance, suggesting training-induced increases in DA release, and (c) increased striatal DA activity also during the n-back transfer task after the intervention, but no concomitant behavioral transfer. The fact that the training-related DA alterations during the transfer task were not accompanied by behavioral transfer suggests that increased DA release may be a necessary, but not sufficient, condition for behavioral transfer to occur.
Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data
<p>Dataset for effects of shear zone thickness in root-reinforced soils: Willow F X-ray CT scans and digital volume correlation data</p>
Figure 8 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 8 - Map showing all collecting records for Megalocraerus spp.
Figure 7 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 7 - Dorsal habitus. A Megalocraerus madrededios B Megalocraerus tiputini.
Figure 2 from: Caterino MS, Tishechkin AK (2016) Spatial and environmental correlates of species richness and turnover patterns in European cryptocephaline and chrysomeline beetles. ZooKeys 557: 59-77. https://doi.org/10.3897/zookeys.557.7087
Figure 2 - Lectotype of Megalocraerus rubricatus. A Dorsal B Ventral C Lateral D Pygidial habitus.
Correlative Microscopy Data for Quantification of Prior Austenite Grain Size in AF9628 Steel
<p>Dataset published 2019 via Materials Data Facility</p> <p>The files in this dataset are analyzed, discussed, and referenced in these two publications:</p> <p>1. V. Sinha, M. Gonzales, R.A. Abrahams, B.S. Song, and E.J. Payton, “Correlative microscopy for quantification of prior austenite grain size in AF9628 steel” <a href="https://doi.org/10.1016/j.dib.2019.104471">https://doi.org/10.1016/j.dib.2019.104471</a></p> <p>2. V. Sinha, M. Gonzales, and E.J. Payton, “Datasets acquired with correlative microscopy method for delineation of prior austenite grain boundaries and characterization of prior austenite grain size in a low-alloy high-performance steel” <a href="https://doi.org/10.1016/j.matchar.2019.109835">https://doi.org/10.1016/j.matchar.2019.109835</a></p> <p> </p> <p> </p>
Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules"
<p>Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules", https://github.com/CIA-CCTB/FRCnet</p>
Figure S1. Spearman correlation matrix representing the relationships of each essential trace elements between biological matrices
<p>Blue represents a positive correlation, while red represents a negative correlation. Color intensity is proportional to the correlation strength. Strikethrough values represent insignificant/negligible associations (p>0.05). FF, follicular fluid; P, plasma; U, urine.</p>
Time series of the correlation coefficient at seismic stations in the Mexican subduction zone
<p>The directory structure is as follows:<br> correlation_coefficient/[STATION]/[YYMMDD]</p> <p>Each file contains the time series of the correlation coefficient every 10 seconds for the data YYMMDD.</p>
cross-correlations of seismic ambient noise - Liupan Shan
<p>Stacked cross-correlation functions of the continuous seismic data recorded at the stations around the Liupan Shan area. Data in Text format, named "LPS.stationA_stationB.ZZ".</p> <p>The format of the data is as follows:</p> <p>Lon (stationA) Lat (stationA) Elevation (stationA)</p> <p>Lon (stationB) Lat (stationB) Elevation (stationB)</p> <p>Time (t=0) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>Time (t=dt) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>Time (t=2dt) CF<sub>AB</sub>(t) CF<sub>BA</sub>(t)</p> <p>……</p>
S&P500 Mean Correlation Time Series (1992-2012)
<p>Time Series of the S&P 500 mean market correlations evaluated in windows of length T trading days.</p> <ul> <li>the used companies for the correlations are given as tickers in the file Companies_Tickers.txt</li> <li>Financial_Time_Series_Centered_Interval.csv uses correlations calculated over a window of T = 42 trading days and the window is shfited by 1 trading day</li> <li>Financial_Time_Series_Centered_Interval__weekly.csv uses windows of T = 5 trading days (i.e. one trading week) and shifts the window by 5 days for each new interval (i.e. disjoint intervals)</li> </ul> <p>Data is gathered via yfinance in Python and spans the whole time from 1.1.1992 to 31.12.2012</p> <p> </p>
Correlation Analysis Electricity Price and Solar Energy in Germany 2018-2023
<p>The code calculates the correlation between the share of solar energy (and total renewable energy) and the exchange electricity price. In addition, an anomaly detection of the electricity price is performed. Finally, a time series prediction is performed with Prophet. The data are from the Frauenhofer Institute. The data were all taken in Germany, between 2018 and May 2023.</p>
Correlation data - mitochondrial tail anchors in SDS micelles (hMff, eElab, eYqjD, yFis1, GWALP, Magainin2)
<p>Rotational correlation functions for N-H bonds of tail anchors in SDS micelles</p> <p>as well as for the C-H bonds of the SDS molecules.</p> <p>Folders include README files, which contain information about residues and the length of the simulation analyzed.</p>
Correlation Between Psychological Readiness, Knee Function, and Isokinetic Performance After Anterior Cruciate Ligament Reconstruction (ACLR) Using Peroneus Longus Tendon Graft (PL-ACL-2025)
ClinicalTrials.gov study NCT07201597. IPD Sharing: NO. Countries: 1. Publications: 0.
Protocol for Correlating Enteropathic Severity and Small Intestinal CYP3A4 Activity in Patients With Celiac Disease
ClinicalTrials.gov study NCT01338324. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation of Urinary and Serum Hormone Levels in Natural Cycle Frozen Embryo Transfer Cycles
ClinicalTrials.gov study NCT06410170. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Correlation Between Body Composition and Pathologic Grade/Prognosis in GEP-NENs: A Retrospective Study
ClinicalTrials.gov study NCT06983106. IPD Sharing: NO. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
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.