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Table 7 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p>Summary graphs for the study: <i>"Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". </i>Data distributions of the Hypothesis 2, with the R² regression coefficients of the three σFR values and indices (parameters A, B and % Alert Time) of both the 200 earthquakes and the 63 earthquakes after 1988, for Section 3.2.1.</p><p>The R² regression coefficients of each curve are calculated in the Excel files on the 2 Drives: </p><p>https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing, for the 200 earthquakes.</p><p>https://docs.google.com/spreadsheets/d/1Pyd4wZxZrq6G76nM2SwHYBBjbPZz7uM8GeO7PXG7obU/edit?usp=sharing, for the 63 earthquakes after 1988.</p>
Table 9 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Overview of the 200 analyzed earthquakes encompassing values and indices for σFR Parameters A, B, and the percentile of Alert Time across the three Analysis Lines, for Section 3.2.6.</strong></p><p>It contains 1 Excel calculation file, consisting of 3 excel sheet for each of the 3 lines of analysis, for both the 200 earthquakes since 1600 and for the 63 earthquakes that occurred after 1988.</p>
Data and code for: Photoacclimation dynamics in coral holobionts responding to thermal and irradiance changes correlate with photon pressure per symbiont
<p>Code and data used in the publication "Photoacclimation dynamics in coral holobionts responding to thermal and irradiance changes correlate with photon pressure per symbiont". For queries about this dataset please email robert.mason1@uq.net.au</p>
Phylogenetically under‐dispersed gut microbiomes are not correlated with host genomic heterozygosity in a genetically diverse reptile community
<p>We are providing semi-processed datasets relevant to the paper "Phylogenetically under-dispersed gut microbiomes across a range of host genetic diversity in a reptile community point to structuring by conserved host genes." Specifically, we include VCF files of RADseq data from host individuals, which are processed versions of the raw reads available at NCBI's Short Read Archive under PRJA744273. These data were processed for heterozygosity calculation using an adapted of the pipeline presented in Singhal et al. 2017, "Genetic diversity is largely unpredictable but scales with museum occurrences in a species-rich clade of Australian lizards."</p> <p>In addition, we include a database of 16S sequences from gut microbiome amplicon sequencing from the same host animals. The raw reads are available at NCBI's Short Read Archive under PRJNA746253. The sequences accessioned here are a curated, cleaned set of reference reads to which we realigned reads from each individual host.</p>
Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity
<p><strong>Dataset for the publication: 'Reproducible network changes occur in a mouse model of temporal lobe epilepsy but do not correlate with disease severity '</strong><br><strong>Rigoni et al. 2023, Neurobiology of Disease, doi: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.nbd.2023.106382" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.nbd.2023.106382</span></a></strong></p> <p><strong>Dataset description</strong></p> <p><em>Data\data2publish\sub- </em>: 50 epochs of raw epicranial EEG data (31 x 8001 x 50, channels x time x n_epochs,<em> </em>Fs=4k Hz). The epochs are available for 29 mice, on different sessions (ses-d0, ses-d28, ses-d29) depending on the animal </p> <p><em>Data\data2publish\EA_info.xlsx</em>: number of epileptiform activities automatically detected for each animal at d28 and d29</p> <p><em>Data\data2publish\derivatives\eeg_preprocessing: </em>results of the script A_EEG_preprocessing.m, for each animal and session</p> <p><em>Data\data2publish\derivatives\elec_layout: </em>different layouts used to plot results. Mouse_layout_modif is the one used in Fig 4</p> <p><em>Data\data2publish\derivatives\network_metrics</em>_<em>wpli: </em>results of network analyses (script C_network_analyses.m)</p> <p><em>Data\data2publish\derivatives\wpli</em>: connectivity matrices (30 x 30) obtained with the script B_connectivity_wpli.m for each animal, in each session, for each frequency band wit</p> <p><strong>Code for analyses available here: </strong> <a href="https://github.com/IsottaR/ir_mice_project_Zenodo">https://github.com/IsottaR/ir_mice_project_Zenodo </a></p> <p>Abbreviations:</p> <p>EEG= electroencephalography</p>
Comparative Evaluation of Body Mass Index, Waist Circumference and Waist-To-Hip Ratio as Correlates of Glucose Intolerance among Rural Dwellers in Nigeria
<p>This research investigates the comparative efficacy of Body Mass Index (BMI), Waist Circumference (WC), and Waist-to-Hip Ratio (WHR) as correlates of glucose intolerance among rural dwellers in Nigeria. Conducted as a descriptive cross-sectional study in Oyo State, Nigeria, the research involved adults aged 18 years and above. The study employed a multi-stage cluster sampling technique, selecting participants from rural communities. Exclusion criteria included pregnant women and those with known diabetes or medications affecting glucose metabolism. Anthro-pometric indices and blood glucose levels were determined using Hanson's weighing scale, a meter rule, and biochemical auto-analyzers. The BMI, WC, and WHR were utilized to assess obesity and abdominal adiposity. Blood glucose levels were measured for fasting and 2-hour post-prandial samples. Data analysis involved descriptive statistics and chi-square tests using SPSS version 26. Results from the study revealed demographic characteristics and medical history of participants. Findings indicated a significant association between anthropometric parameters and gender. Notably, WHR exhibited a strong correlation with glucose intolerance, emphasizing its potential as a predictor. The study also presented the correlation of BMI, WC, and WHR with blood glucose levels, categorizing participants into different risk groups based on these indices. This research contributes valuable insights into the effectiveness of BMI, WC, and WHR in predicting glucose intolerance among rural dwellers in Nigeria. The findings underscore the importance of tailored interventions for specific populations, considering regional variations in health determinants. Future research can build upon these results to develop targeted strategies for diabetes prevention and management in rural communities.</p>
JNK Activation Correlates with Cognitive Impairment and Alteration of the Post-Synaptic Element in the 5xFAD AD Mouse Model
<p>The c-Jun N-terminal kinases (JNKs) are a family of proteins that, once activated by stress<br>stimuli, can alter neuronal functions and survival. The JNK cascade plays a crucial role in the<br>post-synaptic neuronal compartment by altering its structural organization and leading, at worst,<br>to an overall impairment of neuronal communication. Increasing evidence suggests that synaptic<br>impairment is the first neurodegenerative event in Alzheimer’s disease (AD). To better elucidate this<br>mechanism, we longitudinally studied 5xFAD mice at three selected time points representative of<br>human AD symptom progression. We tested the mice cognitive performance by using the radial<br>arm water maze (RAWM) in parallel with biochemical evaluations of post-synaptic enriched protein<br>fraction and total cortical parenchyma. We found that 5xFAD mice presented a strong JNK activation<br>at 3.5 months of age in the post-synaptic enriched protein fraction. This JNK activation correlates<br>with a structural alteration of the post-synaptic density area and with memory impairment at this<br>early stage of the disease that progressively declines to cause cell death. These findings pave the way<br>for future studies on JNK as a key player in early neurodegeneration and as an important therapeutic<br>target for the development of new compounds able to tackle synaptic impairment in the early phase<br>of AD pathology</p>
Correlation between estimated pulse wave velocity values from two equations in healthy and under cardiovascular risk populations
<p><strong>Introduction </strong><strong>: </strong>Equations can calculate pulse wave velocity (ePWV) from blood pressure values (BP) and age. The ePWV predicts cardiovascular events beyond carotid-femoral PWV. We aimed to evaluate the correlation between four different equations to calculate ePWV.</p> <p><strong>Methods: </strong>The ePWV was estimated utilizing mean BP (MBP) from office BP (MBP<sub>OBP</sub>) or 24-hour ambulatory BP (MBP<sub>24-hBP</sub>). We separated the whole sample into two groups: individuals with risk factors and healthy individuals. The e-PWV was calculated as follows: </p> <p>We calculated the concordance correlation coefficient (Pc) between e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub>, e1-PWV<sub>24-hBP</sub> vs e2-PWV<sub>24-hBP</sub>, and mean values of e1-PWV<sub>OBP</sub>, e2-PWV<sub>OBP</sub>, e1-PWV<sub>24-hBP, </sub>and e2-PWV<sub>24-hBP </sub>. The multilevel regression model determined how much the ePWVs are influenced by age and MBP values.</p> <p><strong>Results:</strong> We analyzed data from 1541 individuals; 1374 ones with risk factors and 167 healthy ones. The values are presented for the entire sample, for risk-factor patients and for healthy individuals, respectively. The correlation between e1-PWV<sub>OBP</sub> with e2-PWV<sub>OBP</sub> and e1-PWV<sub>24-hBP </sub>with e2-PWV<sub>24-hBP</sub> was almost perfect. The Pc for e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub> was 0.996 (0.995-0.996), 0.996 (0.995-0.996), and 0.994 (0.992-0.995); furthermore, it was 0.994 (0.993-0.995), 0.994 (0.994-0.995), 0.987 (0.983-0.990) to the e1-PWV<sub>24-hBP </sub>vs e2-PWV<sub>24-hBP</sub>. There were no significant differences between mean values (m/s) for e1-PWV<sub>OBP</sub> vs e2-PWV<sub>OBP</sub> 8.98±1.9 vs 8.97±1.8; p=0.88, 9.14±1.8 vs 9.13±1.8; p=0.88, and 7.57±1.3 vs 7.65±1.3; p=0.5; mean values are also similar for e1-PWV<sub>24-hBP </sub>vs e2-PWV<sub>24-hBP</sub>, 8.36±1.7 vs 8.46±1.6; p=0.09, 8.50±1.7 vs 8.58±1.7; p=0.21 and 7.26±1.3 vs 7.39±1.2; p=0.34. The multiple linear regression showed that age, MBP, and age² predicted more than 99.5% of all four e-PWV.</p> <p><strong>Conclusion: </strong>Our data presents a nearly perfect correlation between the values of two equations to calculate the estimated PWV, whether utilizing office or ambulatory blood pressure.</p>
Numerical data: time dependence of spin-spin expectation value in "Nonmonotonic buildup of spin-singlet correlations in a double quantum dot" Phys. Rev. B 108, 144307 (2023).
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Neural Correlates of Perceptual Similarity Masking in Primate V1
<p>Data set and code for journal paper of the same name in eLife:</p> <p>Visual detection is a fundamental natural task. Detection becomes more challenging as the similarity between the target and the background in which it is embedded increases, a phenomenon termed “similarity masking”. To test the hypothesis that V1 contributes to similarity masking, we used voltage sensitive dye imaging (VSDI) to measure V1 population responses while macaque monkeys performed a detection task under varying levels of target-background similarity. Paradoxically, we find that during an initial transient phase, V1 responses to the target are enhanced, rather than suppressed, by target-background similarity. This effect reverses in the second phase of the response, so that in this phase V1 signals are positively correlated with the behavioral effect of similarity. Finally, we show that a simple model with delayed divisive normalization can qualitatively account for our findings. Overall, our results support the hypothesis that a nonlinear gain control mechanism in V1 contributes to perceptual similarity masking.</p>
Uncoupling of Behavioral and Metabolic Twenty-Four-Hour Rhythms in Reindeer (Current Biology, Meier et al. 2024): Raw EEG data and Metabolomics and Sleep Correlation
<p>Raw EEG measured from reindeer (<em>Rangifer tarandus tarandus</em>) used in the paper "Uncoupling of Behavioral and Metabolic Twenty-Four-Hour Rhythms in Reindeer" (Current Biology, Meier et al. 2024)</p>
Supplementary file for "Expression of CD226 on γδ T cells is lower in advanced chronic lymphocytic leukaemia and correlates with IgA, IgG and LDH levels"
<p>Supplementary Data for an article entitled: "Expression of CD226 on γδ T cells is lower in advanced chronic lymphocytic leukaemia and correlates with IgA, IgG and LDH levels", published in the Advances in Clinical and Experimental Medicine (advances.uwm.edu.pl)</p>
Study of coded ALOHA with multiuser detection under heavy-tailed and correlated arrivals
<p>This zip file contains the data files needed to generate the figures presented in [1].</p> <p> </p> <p>[1] M.E. Sousa-Vieira, M. Fernández-Veiga. "Study of coded ALOHA with multiuser detection under heavy-tailed and correlated arrivals". Future Internet, 15, 132, 2023.</p> <p> </p>
Inter-Chemical Correlation results for the study: HHEARx2018-2273 (First Trimester Exposures: Influence on Birth Outcomes and Markers of Biological Response)
Title: First Trimester Exposures: Influence on Birth Outcomes and Markers of Biological Response <br>Species: Homo sapiens <br>Number of samples: 356 <br>Number of named analytes: 59 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=59 <br>
PixelPop: Nonparametric analysis of correlations in the binary black hole population with LIGO–Virgo–KAGRA data
<p>Data release accompanying the PixelPop papers, analyzing gravitational wave populations.</p> <p>The first dataset (in gwtc3_result_files) is the posterior samples for the runs presented in analysis of LIGO--Virgo--KAGRA data, following the third gravitational wave catalog, see https://arxiv.org/abs/2406.16844. We include a python notebook (example_plot.ipynb) showing how to create the plots presented in this paper.</p> <p>In v2, we also include samples from the predictive distributions. Due to the large uncertainties, marginalizing over the hyperposterior may be a poor representation of the inferred distribution, and so instead we provide samples from the <em>median</em> predictive distribution. That is, samples from the distribution shown in the central panels of the figures. </p> <p>The second dataset (in o4inj_result_files) is the posterior samples accompanying the runs presented in the technical background paper, see https://arxiv.org/abs/2406.16813. </p>
DATA SET: Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies
<p>This repository contains the data sets of the article:</p> <p>P. Fernández Esteberena et al. (2024). Near-infrared diffuse optical characterization of human thyroid using ultrasound-guided hybrid time-domain and diffuse correlation spectroscopies. <em>Biomedical Optics Express</em>. <a href="https://doi.org/10.1364/BOE.538141">https://doi.org/10.1364/BOE.538141</a></p>
Data for: A neural correlate of individual odor preference in Drosophila
<p>Data associated with: A neural correlate of individual odor preference in <em>Drosophila</em></p> <p>Abstract: Behavior varies even among genetically identical animals raised in the same environment. However, little is known about the circuit or anatomical origins of this individuality. Here, we demonstrate a neural correlate of <em>Drosophila</em> odor preference behavior in the olfactory sensory periphery. Namely, idiosyncratic calcium responses in projection neuron (PN) dendrites and densities of the presynaptic protein Bruchpilot in olfactory receptor neuron (ORN) axon terminals correlate with individual preferences in a choice between two aversive odorants. The ORN-PN synapse appears to be a locus of individuality where microscale variation gives rise to idiosyncratic behavior. Simulating microscale stochasticity in ORN-PN synapses of a 3,062 neuron model of the antennal lobe recapitulates patterns of variation in PN calcium responses matching experiments. Conversely, stochasticity in other compartments of this circuit does not recapitulate those patterns. Our results demonstrate how physiological and microscale structural circuit variations can give rise to individual behavior, even when genetics and environment are held constant.</p>
Data Artifact for "Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching"
<p>This dataset contains the Ligra, PARSEC, GAP, and QMM traces used in our paper "Gaze into the Pattern: Characterizing Spatial Patterns with Internal Temporal Correlations for Hardware Prefetching", which is accepted by HPCA'25. These traces are provided as part of the AE proces.</p>
New Insights into the Correlation between Flash Rate and Size in Thunderstorms
<p>The uploaded are the figures (involve data) shown in the paper titled "New Insights into the Correlation between Flash Rate and Size in Thunderstorms". This paper is submitting to GRL. The abstract is as follows:</p> <p>The correspondence of the flash rate and size of the thunderstorms between the Tibetan Plateau (TP) and Central and Eastern China (CEC) and Southern Foothills of the Himalayas (SHF) is unlike the previously recommended reverse correspondence between flash rate and size when they are compared between thunderstorms with different dynamic intensity. We find that the size of the effective charge region (ECR) in the TP thunderstorms may be limited to be small by the generally low charge density and small thunderstorm extent resulting from the weakest convection among the three regions, therefore causing the common appearance of lower rate and smaller size of flash. The results suggest that the weak and strong convections both can generate small ECR, and then the small flash size; meanwhile, the reverse correspondence between flash frequency and size may be premised on that the convection intensity of the contrasted thunderstorms both exceed a certain threshold.</p>
Confocal images from: Cell density, alignment, and orientation correlate with C-signal-dependent gene expression during Myxococcus xanthus development
<p>Starving <em>Myxococcus xanthus</em> bacteria use short-range C-signaling to coordinate their movements and construct multicellular mounds, which mature into fruiting bodies as rods differentiate into spherical spores. Differentiation requires efficient C-signaling to drive the expression of developmental genes, but how the arrangement of cells within nascent fruiting bodies (NFBs) affects C-signaling is not fully understood. Here, we used confocal microscopy and cell segmentation to visualize and quantify the arrangement, morphology, and gene expression of cells near the bottom of NFBs at much higher resolution than previously achieved. We discovered that "transitioning cells" (TCs), intermediate in morphology between rods and spores, comprised 10 to 15% of the total population. Spores appeared midway between the center and the edge of NFBs early in their development and near the center as maturation progressed. The developmental pattern as well as C-signal-dependent gene expression in TCs and spores were correlated with cell density, the alignment of neighboring rods, and the tangential orientation of rods early in the development of NFBs. These dynamic radial patterns support a model in which the arrangement of cells within the NFBs affects C-signaling efficiency to regulate precisely the expression of developmental genes and cellular differentiation in space and time. Developmental patterns in other bacterial biofilms may likewise rely on short-range signaling to communicate multiple aspects of cellular arrangement, analogous to juxtacrine and paracrine signaling during animal development.</p>
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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.