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4,563 results for “correlations”

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zenodo28/100

raw data - Correlation of interleukin-1β and interleukin-6 levels with osteoarthritic lesions of the knee

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo28/100

Result of the correlation between plasma homocysteine and ischemic heart disease in young adult

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Mental Health Outcomes and Their Correlates in the Post-COVID-19 Era Among University Students and Staff in Indonesia

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo28/100

Correlation networks of S&P500 in Covid pandemic

<p>Correlation networks of S&amp;P500 in Covid pandemic</p>

opencc-by-4.0Nov 2024View details →
zenodo28/100

The correlation between hippocampal ferroptosis and emotional disorders induced by neuropathic pain in CCI rats

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2024View details →
zenodo28/100

Data for "Development and Evaluation of a New Correlated K-distribution Scheme for BCC_RAD Radiative Transfer Model"

<p>Data and matlab scripts for plotting.</p>

opencc-by-4.0Jun 2024View details →
zenodo28/100

Data from: Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis

<p>Mammalian sex is determined by&nbsp;opposing networks of ovarian and testicular genes&nbsp;that are well characterized. However, its epigenetic regulation is still largely unknown, thus limiting our understanding of a fundamental process for species propagation.&nbsp;Here we explore the 3D chromatin landscape of sex determination&nbsp;<em>in vivo</em>, using&nbsp;<em>METALoci</em>, a novel genome spatial auto-correlation analysis.</p> <p><strong>Extended Data File 1: Coordinates for HH metaloci in each sample.</strong></p> <p>The&nbsp;EDFile1_H3K27ac_HH_metaloci_per_gene.zip&nbsp;file contains four files named:</p> <ul> <li>XX10.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XX13.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XY10.5_H3K27ac_HH_metaloci_per_gene.bed</li> <li>XY13.5_H3K27ac_HH_metaloci_per_gene.bed</li> </ul> <p>Each BED file contains the following columns tab separated:</p> <ul> <li>chr&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Chromosome</li> <li>start&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Start coordinates</li> <li>end&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;End coordinates</li> <li>MetaLociBinNumber&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Number of the bin in the METALoci layout</li> <li>GeneSymbol&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Gene symbol</li> </ul> <p>&nbsp;</p> <p><strong>Extended Data File 2: Coordinates bins in METALoci with ATAC-seq accessible peak targeted by TF.</strong></p> <p>The EDFile2_TF_ATAC_ML_Sites.zip file contains four files named:</p> <ul> <li>XX10.5_TF_ATAC_ML_Sites.tsv</li> <li>XX13.5_TF_ATAC_ML_Sites.tsv</li> <li>XY10.5_TF_ATAC_ML_Sites.tsv</li> <li>XY13.5_TF_ATAC_ML_Sites.tsv</li> </ul> <p>Each TSV file contains the following columns tab separated:</p> <ul> <li>chr&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Motif site chromosome&nbsp;</li> <li>start&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Motif site start coordinates&nbsp;</li> <li>end&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Motif site end coordinates</li> <li>bin &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Hi-C bin number</li> <li>pchr&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ATAC site chromosome</li> <li>pstart&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ATAC site start coordinates</li> <li>pend&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ATAC site end coordinates</li> <li>gene&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Gene symbol</li> </ul>

openNov 2022View details →
zenodo28/100

Aggregating statistically correlated metabolic pathways into groups to improve pathway prediction outcomes

<p>We included files&nbsp;used in <a href="https://github.com/hallamlab/chap">hallamlab/chap</a></p>

opencc-by-4.0Jul 2020View details →
dryad28/100

Correlations between components of the immune system

<p><span><span><b>Background:</b></span></span></p> <p><span><span>No evidence of the possibility to alter a constituent of the immune system without directly affecting one of its associated components has been shown yet. </span></span></p> <p><span><span><b>Methods:</b> </span></span></p> <p><span><span><span>A schematic model was developed in which two triggers, fasting and splenectomy, were studied for their ability to affect the expression of cell membrane epitopes and the cytokine secretion of out-of-body autogeneic and syngeneic lymphocytes. </span></span></span></p> <p><span><span><b>Results</b>: </span></span></p> <p><span><span><span>Fasting decreased expression of CD8 and CD25 and increased TNFα levels. The effect of splenectomy as a trigger was investigated in non-fasting mice by comparing splenectomized and non-splenectomized mice. An increase in the CD8 expression and in TNFα, IFNg, and IL10 secretion was noted. The effect of splenectomy as a trigger was investigated in fasting mice by comparing splenectomized and non-splenectomized mice. Splenectomy had a significant effect on expression of CD25 and CD4 CD25 and on secretion of TNFα, IFNg, and IL10. To determine the effect of keeping the cells in an out-of-body location on the expression of lymphocyte epitopes, tubes kept on top of the cages of the fasting mice were compared with tubes kept on top of empty cages. A significant change in the CD8 expression was noted. To determine the effect of keeping cells in an out-of-body location on cytokine secretion, tubes kept on top of cages were tested for cytokine levels. A significant decrease was noted for the secretion of TNFα and IFNg.</span></span></span></p> <p><span><span><b>Conclusions:</b> </span></span></p> <p><span><span>The data obtained from this study characterized a system for induction of correlations between two components of the immune system without a transfer of mediators. The study showed that a mouse could affect cells at a distance and alter the expression of surface markers and cytokine secretion following two types of triggers: fasting and/or splenectomy. Thus, an out-of-body correlation can be induced between two components of the immune system.</span></span></p>

opencc-zeroNov 2021View details →
zenodo28/100

Pyramidal Cell-Interneuron Coupling with Negative Correlation

<p>Video 3 showed&nbsp;the negatively correlated pair exhibited complementary spatial firing maps</p>

opencc-by-4.0Jan 2022View details →
zenodo28/100

Figure 6 in Presence of populations of antlions (Neuroptera: Myrmeleontidae) in Denmark correlates with presence of aeolian sand

Figure 6. Localities with larval collection records for Danish Myrmeleontidae.

opennotspecifiedFeb 2022View details →
zenodo28/100

Figure 4 in Presence of populations of antlions (Neuroptera: Myrmeleontidae) in Denmark correlates with presence of aeolian sand

Figure 4. Phenology of antlion species (adults) in Denmark.

opennotspecifiedFeb 2022View details →
zenodo28/100

Figure 9 in Presence of populations of antlions (Neuroptera: Myrmeleontidae) in Denmark correlates with presence of aeolian sand

Figure 9. Distribution of Euroleon nostras in Denmark. Number of records in circles.

opennotspecifiedFeb 2022View details →
zenodo28/100

Figure 2 in Presence of populations of antlions (Neuroptera: Myrmeleontidae) in Denmark correlates with presence of aeolian sand

Figure 2. Euroleon nostras (Geoffroy in Fourcroy, 1785), adult. (NHMD). Scale = 1 cm.

opennotspecifiedFeb 2022View details →
zenodo28/100

Fig. 2 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)

Fig. 2. Subfamily Cystophorinae: left mandible of Mirounga angustirostris in labial view: A — °, NMNH 14929; B — ♀, NMNH 21890.

opencc-by-4.0Jul 2014View details →
zenodo28/100

Fig. 5 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)

Fig. 5. Subfamily Monachinae: mandible of Monachus tropicalis in labial view (♀, right, NMNH 100362); showing masseteric fossa (dashed outlines).

opencc-by-4.0Jul 2014View details →
zenodo28/100

Fig. 7 in Remarks On Correlations And Implications Of The Mandibular Structure And Diet In Some Seals (Mammalia, Phocidae)

Fig. 7. Subfamily Phocinae: right mandible of fossil Leptophoca lenis, CMM–V 2021 in labial view from Calvert Formation, late-early Miocene (~18 Ma), Calvert County, Maryland, USA (A); subfamily Devinophocinae: reversed right mandible of fossil sp. n.? (NMNH 553687) in labial view from Badenian Formation, early– middle Miocene (~16 Ma), Central Paratethys, Vienna Basin of Western Slovakia, Europe. Masseteric fossae are shown by dashed outlines (B).

opencc-by-4.0Jul 2014View details →
dryad28/100

Variation and correlation in the timing of breeding of North Atlantic seabirds across multiple scales

<p><span>Timing of breeding, an important driver of fitness in many populations, is widely studied in the context of global change, yet despite considerable efforts to identify environmental drivers of seabird nesting phenology, for most populations we lack evidence of strong drivers. Here we adopt an alternative approach, examining the degree to which different populations positively covary in their annual phenology to infer whether phenological responses to environmental drivers are likely to be (i) shared across species at a range of spatial scales, (ii) shared across populations of a species, or (iii) idiosyncratic to populations.</span></p> <p><span>We combined 51 long-term datasets on breeding phenology spanning 50 years from nine seabird species across 29 North Atlantic sites and examined </span><span>the extent to which different populations share early versus late breeding seasons depending on a hierarchy of spatial scales comprising breeding site, small-scale region, large-scale region and the whole North Atlantic. </span></p> <p><span>In about a third of cases we found laying dates of populations of different species sharing the same breeding site or small-scale breeding region were positively correlated, which is consistent with the hypothesis that they share phenological responses to the same environmental conditions. In comparison we found no evidence for positive phenological covariation among populations across species aggregated at larger spatial scales. </span></p> <p><span>In general we found little evidence for positive phenological covariation between populations of a single species, and in many instances the inter-year variation specific to a population was substantial, consistent with each population responding idiosyncratically to local environmental conditions. Black-legged kittiwake (<em>Rissa tridactyla</em>) was the exception, with populations exhibiting positive covariation in laying dates that decayed with the distance between breeding sites, suggesting that populations may be responding to a similar driver.</span></p> <p><span>Our approach sheds light on the potential factors that may drive phenology in our study species, thus furthering our understanding of the scales at which different seabirds interact with interannual variation in their environment. We also identify additional systems and phenological questions to which our inferential approach could be applied.</span></p>

opencc-zeroMay 2022View details →
zenodo28/100

Correlating viscosity and molecular crowding with fluorescent nanobeads and molecular probes: in vitro and in vivo

<p>Beads internalisation (confocal images) and FLIM-DLS data (in vitro characterisation)</p>

opencc-by-4.0Jun 2022View details →
dryad28/100

Data from: Maximizing negative correlations in resting-state functional connectivity MRI by time-lag

This paper aims to better understand the physiological meaning of negative correlations in resting state functional connectivity MRI (r-fcMRI). The correlations between anatomy-based brain regions of 18 healthy humans were calculated and analyzed with and without a correction for global signal and with and without spatial smoothing. In addition, correlations between anatomy-based brain regions of 18 naïve anesthetized rats were calculated and compared to the human data. T-statistics were used to differentiate between positive and negative connections. The application of spatial smoothing and global signal correction increased the number of significant positive connections but their effect on negative connections was complex. Positive connections were mainly observed between cortical structures while most negative connections were observed between cortical and non-cortical structures with almost no negative connections between non-cortical structures. In both human and rats, negative connections were never observed between bilateral homologous regions. The main difference between positive and negative connections in both the human and rat data was that positive connections became less significant with time-lags, while negative connections became more significant with time-lag. This effect was evident in all four types of analyses (with and without global signal correction and spatial smoothing) but was most significant in the analysis with no correction for the global signal. We hypothesize that the valence of r-fcMRI connectivity reflects the relative contributions of cerebral blood volume (CBV) and flow (CBF) to the BOLD signal and that these relative contributions are location-specific. If cerebral circulation is primarily regulated by CBF in one region and by CBV in another, a functional connection between these regions can manifest as an r-fcMRI negative and time-delayed correlation. Similarly, negative correlations could result from spatially inhomogeneous responses of rCBV or rCBF alone. Consequently, neuronal regulation of brain circulation may be deduced from the valence of r-fcMRI connectivity.

opencc-zeroDec 2013View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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