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472 results for “Continuous data”
Data from: Gut microbiota composition and functionality are associated with REM sleep duration and continuous glucose levels
<p><span><strong>Context</strong>:</span><span> Sleep disruption is associated with poorer glucose metabolic control and altered gut microbiota in animal models.</span></p> <p><span><strong>Objective</strong>:</span><span> We aimed to evaluate the possible links among REM sleep duration, continuous glucose levels, and gut microbiota composition.</span></p> <p><strong><span>Design</span></strong><span>: This is an observational, prospective, real-life, cross-sectional case-control study. </span></p> <p><span><strong>Setting</strong>: </span><span>Tertiary Hospital recruiting healthy volunteers.</span></p> <p><span><strong>Patients or Other Participants</strong>:</span><span> One-hundred and eighteen (60 with obesity), middle-aged (39.1-54.8) subjects.</span></p> <p><span><strong>Intervention(s)</strong>:</span><span> Glucose variability and REM sleep duration were assessed by 10-day continuous glucose monitoring (CGM) (Dexcom G6®) and wrist-actigraphy (Fitbit Charge 3®), respectively</span></p> <p><span><strong>Main Outcome Measure(s)</strong>:</span><span>. Glucose variability was evaluated through standard deviation (SD), coefficient of variation (CV), and interquartile range (IQR). The percentage of time in range (% TIR), 126-139 mg/dL (TIR2), and 140-199 mg/dL (TIR3) were calculated. Shotgun metagenomics sequencing was applied to study gut microbiota taxonomy and functionality. </span></p> <p><span><strong>Results</strong>:</span><span> Increased glycemic variability (SD, CV, and IQR) was observed among subjects with obesity in parallel to increased % TIR2 and % TIR3. REM sleep duration was independently associated with the % TIR3 (β=-0.339; p<0.001) and glucose variability (SD, β=-0.350; p<0.001). Microbial taxa from Christensenellaceae family (Firmicutes phylum) were positively associated with REM sleep and negatively with glucose continuous monitoring levels, while bacteria from Enterobacteriacea family and bacterial functions involved in iron metabolism showed opposite associations. </span></p> <p><span><strong>Conclusions</strong>:</span><span> Decreased REM sleep duration was independently associated with a worse glucose profile. The associations of species from Christensenellaceae and Enterobacteriaceae families with REM sleep duration and continuous glucose values suggest an integrated picture of metabolic health.</span></p>
Data from: Higher avian biodiversity, increased shrub cover, and proximity to continuous forest may reduce pest insect crop loss in small-scale oil palm farming
<p>One of the key ecosystem services offered by avian biodiversity within agricultural landscapes is natural predation. Nonetheless, the current use of biological control agents such as farmland birds in oil palm plantations is relatively limited. The present study aimed to assess the potential roles of avian biodiversity, particularly insectivores which provide natural predation against oil palm herbivorous insects. We also investigated the influence of local- and landscape-scale variables on foliage damage (crown or frond). Our data showed that crown damage decreased with increasing farmland bird richness (overall and insectivore), shrub cover, dried biomass, and elevation, but increased with epiphyte cover, oil palm height, and distance to continuous forest. Frond damage was negatively related to bird richness (overall, insectivore, and non-insectivore) and non-insectivore abundance, elevation, and shrub cover, while increased with insectivorous abundance, epiphyte cover, oil palm height, and distance to continuous forest. We also found that plantations (≥ 50 ha) were more susceptible to foliage damage from pest insects than smallholdings (<50 ha). There was no evidence that indicated the influence of forest patches on foliage damage. Our study highlights the economic value of conserving biodiversity, most notably, farmland birds and continuous forests with respect to biological control of defoliating pests and maintaining yield productivity in oil palm cultivation. Growers, particularly major plantation companies should make oil palm farming more biodiversity-friendly in order to increase the number of biological control agents such as birds.</p>
Atmospheric visibility inferred from continuous-wave Doppler wind lidar, data set
<p>Visibility data from Pershore, UK, between 2018 and 2020</p>
Datasets for Yue et al. (2022), Atmospheric Measurement Techniques: "Evaluating the Consistency and Continuity of Pixel-Scale Cloud Property Data Records From Aqua and SNPP"
<p>Pixel scaled collocated AIRS, Aqua MODIS, SNPP CrIS, and SNPP VIIRS cloud retrieval products. These datasets are used to generate analyses and results presented in Yue et al. (2022, AMT): "Evaluating the Consistency and Continuity of Pixel-Scale Cloud Property Data Records From Aqua and SNPP"</p>
Data accompanying "Super-broadband on-chip continuous spectral translation unlocking coherent optical communications beyond conventional telecom bands"
<p>This dataset contains measurement data and processing scripts (Matlab) for the results presented in "Super-broadband on-chip continuous spectral translation unlocking coherent optical communications beyond conventional telecom bands". </p> <p>The paper can be found here:</p> <p><a href="https://www.nature.com/articles/s41467-022-31884-2">Super-broadband on-chip continuous spectral translation unlocking coherent optical communications beyond conventional telecom bands | Nature Communications</a></p> <p><a href="https://www.researchsquare.com/article/rs-1086400/v1">Activating Unconventional Wavelength Bands for Coherent Optical Communication by On-chip Continuous Spectral Translation | Research Square</a></p>
Data for "Observation of a continuous time crystal"
<p>This upload includes data shown in the main text and the supplementary material of the paper "Observation of a continuous time crystal"</p>
Data supporting On the step type of continuous propagating positive leader in laboratory-scale long spark discharges
<p>The data supports the manuscript entitled "On the step type of continuous propagating positive leader in laboratory-scale long spark discharges". The *.txt file contains the applied voltage waveform and discharge current waveform. The*.doc file contains the data for Figure 5. The *.rar file contains the high-speed video frames, and can be decompressed and opened. The data can be used freely for scientific purposes with appropriate citation.</p>
Continuous generation of topological defects in a passively driven nematic liquid crystal DATA
<p>Data and code associated with the paper titled "Continuous generation of topological defects in a passively driven nematic liquid crystal".</p>
Data for continuous and discrete measurements of carbonate parameters in a productive coastal region in the Northwestern Pacific (36°09'13.5''N, 129°24'04.9''E) from January to September in 2019 and from March to December in 2020
<p><span>Photosynthetic organisms shift the dynamics of surface pCO<sub>2</sub> driven by the sea surface temperature change (thermodynamic driver) by assimilating C from seawater. Here we measured net C uptake </span><span>in a macroalgal habitat</span> <span>of coastal Korea for two years (2019–2020) and found that the macroalgal habitat</span> <span>contributed </span><span>5.8 g</span><span> C m</span><sup><span>-</span><span>2</span></sup><span> month</span><sup><span>-</span><span>1</span></sup><span> of </span><span>the net C uptake during the growing period (the cooling period, September</span><span>-</span><span>May). This massive C uptake changed the thermodynamics-driven seasonal dynamics such that the air</span><span>-</span><span>sea equilibrium of </span><span>pCO<sub>2</sub></span><span> was pushed into disequilibrium. T</span><span>he </span><span>surface </span><span>pCO<sub>2</sub></span><span> dynamics during the cooling period were </span><span>mostly influenced by the seasonal decrease in temperature and the proliferation of macroalgae, while the dynamics </span><span>during the warming period </span><span>(the stagnant period, </span><span>June</span><span>-</span><span>August) </span><span>closely followed that predicted based solely on the change in sea surface temperature only </span><span>(thermodynamic driver)</span><span>.</span><span> In contrast to the phytoplankton-dominated offshore waters (where phytoplankton populations are large in spring and summer), the impact of coastal water macroalgae on surface </span><span>pCO<sub>2</sub></span><span> dynamics was most pronounced during the cooling period, when the magnitude of </span><span>pCO<sub>2</sub></span><span> change was as much as twice that resulting from temperature change. Our study shows that</span><span> t</span><span>he distinctive features of the macroalgal habitat—in particular the seasonal temperature extremes (~18°C difference), the </span><span>active macroalgal metabolism,</span><span> and anthropogenic </span><span>nutrient</span><span> inputs—collectively influenced</span><span> the seasonal decoupling of seawater and air </span><span>pCO<sub>2</sub></span><span> dynamics</span><span>.</span></p>
Data from: Evolutionary radiation strategy revealed in the Scarabaeidae with evidence of continuous spatiotemporal morphology and phylogenesis
<p>Evolutionary biology faces the important challenge of determining how to interpret the relationship between selection pressures and evolutionary radiation. The lack of morphological evidence on cross-species research adds to difficulty of this challenge.</p> <p>We proposed a new paradigm for evaluating the evolution of branches through changes in characters on continuous spatiotemporal scales, for better interpreting the impact of biotic/abiotic drivers on the evolutionary radiation. It reveals a causal link between morphological changes and selective pressures: consistent deformation signals for all tested characters on timeline, which provided strong support for the evolutionary hypothesis of relationship between scarabs and biotic/abiotic drivers; the evolutionary strategies under niche differentiation, which were manifested in the responsiveness degree of functional morphological characters with different selection pressure.</p> <p>This morphological information-driven integrative approach sheds light on the mechanism of macroevolution under different selection pressures and is applicable to more biodiversity research.</p>
Data from: Tireless travellers: Sea turtles swim continuously during long-distance movements
<p>While rest and sleep are crucial to animals, our understanding of whether and how long-distance migrants rest has been thwarted by the inability to relay high-resolution data from multi-channel loggers via satellite. We overcame these obstacles for an iconic long-distance migrator by equipping five loggerhead sea turtles (Caretta caretta) with satellite tags and data-loggers providing depth and 3-D acceleration measurements. Turtles were translocated to open-sea locations and induced to complete oceanic migrations of tens of km to return to their nesting beach performing active, oriented movements. Across a total of >600 hours of high-resolution data, we observed (i) constant flipper frequency (ca. 0.5 Hz) indicating that turtles never ceased movement, (ii) intense subsurface swimming (mostly around 1 m) for about 50% of time and (iii) deeper, less active dives up to 80 m, which were made day and night and more frequently in offshore waters. Flipper beat amplitude was much smaller in deep dives; hence the estimated energy expenditure was 37% lower on deep dives compared to subsurface swimming. These findings suggest that turtles, which can complete migrations of >2000 km, alternate between phases of intense near-surface swimming and periods of lower activity at depth, without fully resting during migration.</p>
Data from: Lianas associated with continued forest biomass losses following large-scale disturbances
<p>Lianas are important to rainforest ecosystems but often impede tree growth and increase tree mortality and stem damage after disturbances that favour their growth. Understanding how lianas affect biomass recovery and rates of carbon sequestration following disturbance is therefore of crucial importance. In this study, we determine how a tropical forest recovers biomass following a large-scale disturbance and test how this varies with liana dominance and stem damage<em>. </em>We use remote sensing methods to develop a model, validated by field data from 40 20 m x 20 m vegetation plots, to measure change in tree above-ground biomass eight years after Tropical Cyclone Yasi damaged logged forests in the Australian Wet Tropics. We related tree biomass changes to field measures of current liana dominance over trees, expressed as liana: tree basal area ratio, and assessed how these measures related to tree stem damage. Biomass declined in 34 of the 40 plots during the eight years post-disturbance, with loss rates and proportions of damaged tree stems increasing with the liana: tree ratio. From spatial upscaling, we found a net loss in biomass across the study landscape over the same period. Our results show that, following disturbances, lianas not only limit tree biomass recovery but are also associated with further biomass declines, most likely through their contribution to stem damage and delayed mortality. Furthermore, our finding of net biomass loss across the landscape since the cyclone shows that, post-disturbance, rainforests can act as a carbon source with consequences for the global carbon sink<em>. </em></p>
Raw data to "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations"
<p>This collection of data is complementary to the publication "Quantum melting of long-range ordered quantum antiferromagnets investigated by momentum-space continuous similarity transformations", Dag-Björn Hering, Matthias R. Walther, Kai P. Schmidt, Götz S. Uhrig, arXiv:2405.13768 (https://arxiv.org/abs/2405.13768).</p> <p>It contains three data sets:</p> <ul> <li>raw_data: Contains the results and metadata of individual CST runs in a ".json" format</li> <li>processed_data: Contains processed raw data in a “.pkl” format, where derived quantities are directly accessible (sublattice magnetization, second derivative of the ground-state energy) </li> <li>plot_data: Contains the data points used in Figs 4,6,7,8,910,11,12 and 13 in a “.csv” format</li> </ul> <p>For details on the CST, the used error estimates and physical quantities we refer the the publication.</p> <p>For details on the format, we recommend the README.md files.</p>
Data set for "Continuous-variable tomography of solitary electrons" Fletcher et al. DOI: 10.1038/s41467-019-13222-1
<p>Data set used to generate the figures for "Continuous-variable tomography of solitary electrons"</p> <p> </p>
Data and code from: Species interactions drive continuous assembly of freshwater communities in stochastic environments
<p>Understanding the factors driving the maintenance of long-term biodiversity in changing environments is essential for improving restoration and sustainability strategies in the face of global environmental change. Biodiversity is shaped by both niche and stochastic processes, however the strength of deterministic processes in unpredictable environmental regimes is highly debated. Since communities continuously change over time and space -- species persist, disappear or (re)appear -- understanding the drivers of species gains and losses from communities should inform us about whether niche or stochastic processes dominate community dynamics.<br>Applying a nonparametric causal discovery approach to a 30-year time series containing annual abundances of benthic invertebrates across 66 locations in New Zealand rivers, we found a strong \hl{negative} causal relationship between species gains and losses directly driven by predation indicating that niche processes dominate community dynamics. Despite the unpredictable nature of these system, environmental noise was only indirectly related to species gains and losses through altering life history trait distribution. Using a stochastic birth-death framework, we demonstrate that the negative relationship between species gains and losses can not emerge without strong niche processes. Our results showed that even in systems that are dominated by unpredictable environmental variability, species interactions drive continuous community assembly. </p>
Supplementary material for the paper "Data-Limited Continuous Experimentation (dlCE): A Literature Review"
<p>This is supplementary material for a paper, "Data-Limited Continuous Experimentation (DLC): A Literature Review", published at the 15th International Conference on Software Business (ICSOB 2024). It contains a list of included papers from a literature review, their experimentation cases and extracted data related to contextual and experimentation factors, as well as their relevance to dlCE scenarios.</p>
Supporting data for the article "Continuing invariant solutions towards the turbulent flow"
<p>Supporting data for the article "Continuing invariant solutions towards the turbulent flow": numerical code and computed invariant solutions</p>
DATA: molecularly enhanced proof of concept for targeting cocrystals at molecular scale in continuous pharmaceuticals cocrystallization - part 2
<p>This is the cleansed files for CoCryM project carried out at the University of Limerick, Ireland for a MSCA postdoctoral fellowship. </p> <p>Link to PNAS paper <a href="https://www.pnas.org/doi/10.1073/pnas.2114277119">https://www.pnas.org/doi/10.1073/pnas.2114277119</a> </p> <p>(molecularly enhanced proof of concept for targeting cocrystals at molecular scale in continuous pharmaceuticals cocrystallization) </p> <p>Original uploaded files on 10 September 2021: </p> <ol> <li><a href="https://doi.org/10.5281/zenodo.6164838">https://doi.org/10.5281/zenodo.6164838</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189068">https://doi.org/10.5281/zenodo.6189068</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189100">https://doi.org/10.5281/zenodo.6189100</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189715">https://doi.org/10.5281/zenodo.6189715</a></li> <li><a href="https://doi.org/10.5281/zenodo.6189885">https://doi.org/10.5281/zenodo.6189885</a></li> </ol> <p> </p> <p>Inhouse: https://sites.google.com/view/makhansary/publications </p>
Raw Data for the article: Continuous Renal Replacement Therapy after Liver Transplantation: Peri-Operative Associated Factors and Impact on Survival
<p>Continuous renal replacement therapy (CRRT) following orthotopic liver transplantation (OLT) is usually started for multifactorial reasons, with variable incidence among series. This paper presents a single-center retrospective observational study on the early use (within one week) of CRRT after consecutive cadaveric OLT from January 2008 to December 2016. Preoperative patient characteristics and intraoperative data were collected, and patients were divided into two groups (CRRT and no CRRT) to explore the factors associated with the use of CRRT. Repeated measurements of postoperative creatinine were analyzed with generalized estimating equation (GEE) models. Among 528 OLT patients, 75 (14.2%) were treated with CRRT at least once in the first week. Patients treated with CRRT showed lower survival in a Kaplan-Meier curve (log-rank <em>p</em> value &lt; 0.01). Patients treated with CRRT had a more severe preoperative profile, with a significantly higher age, MELD, BUN, creatinine, and total bilirubin, as well as a longer surgery time and a higher number of transfusions of red blood cells, plasma, and platelets (all <em>p</em> values &lt; 0.05). In a stepwise multiple analysis, the following characteristics remained independently associated with the use of CRRT: the MELD score OR 1.12 (95% CL: 1.07-1.16), <em>p</em> value &lt; 0.001, and the preoperative value for blood urea nitrogen OR 1.016 (95% CL: 1.010-1.023), <em>p</em> value &lt; 0.001. The early use of CRRT after OLT occurred at a low rate in this large cohort; however, it was associated with worse outcomes. Apart from the preoperative severity, repeated intraoperative hypotension episodes, which were likely modifiable or preventable, were associated with the increased use of CRRT and higher postoperative creatinine.</p>
Data from: Modeling the evolution of rates of continuous trait evolution
<p>Rates of phenotypic evolution vary markedly across the tree of life, from the accelerated evolution apparent in adaptive radiations to the remarkable evolutionary stasis exhibited by so-called "living fossils". Such rate variation has important consequences for large-scale evolutionary dynamics, generating vast disparities in phenotypic diversity across space, time, and taxa. Despite this, most methods for estimating trait evolution rates assume rates vary deterministically with respect to some variable of interest or change infrequently during a clade's history. These assumptions may cause underfitting of trait evolution models and mislead hypothesis testing. Here, we develop a new trait evolution model that allows rates to vary gradually and stochastically across a clade. Further, we extend this model to accommodate generally decreasing or increasing rates over time, allowing for flexible modeling of "early/late bursts" of trait evolution. We implement a Bayesian method, termed "evolving rates" (evorates for short), to efficiently fit this model to comparative data. Through simulation, we demonstrate that evorates can reliably infer both how and in which lineages trait evolution rates varied during a clade's history. We apply this method to body size evolution in cetaceans, recovering substantial support for an overall slowdown in body size evolution over time with recent bursts among some oceanic dolphins and relative stasis among beaked whales of the genus Mesoplodon. These results unify and expand on previous research, demonstrating the empirical utility of evorates.</p>
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.