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410 results for “rate variability”
Internal variability and forcing influence model-satellite differences in the rate of tropical tropospheric warming
<p>This dataset contains simulated and observed maps of surface temperature change over the satellite-era and domain averaged trends of tropospheric warming. The data accompanies software that was used to disentangle the forced and unforced components of tropical tropospheric temperature change. This work was documented in:</p> <blockquote> <p>Po-Chedley, S., J.T. Fasullo, N. Siler, Z.M. Labe, E.A. Barnes, C.J.W. Bonfils, B.D. Santer (2022): "Internal variability and forcing influence model-satellite differences in the rate of tropical tropospheric warming," Proceedings of the National Academy of Sciences, doi: 10.1073/pnas.2209431.</p> </blockquote> <p>The software is available at: https://github.com/LLNL/MDAS</p>
Fig. 1 in Great variability in the infection rate of 'Candidatus Liberibacter asiaticus' in field populations of Diaphorina citri (Hemiptera: Liviidae) in Florida
Fig. 1. Percent infection rates of Diaphorina citri with 'Candidatus' Liberibacter asiaticus in groves across central and southern Florida as determined from 48 independent adult psyllids per site.
Data and code relating to Becher, Jackson & Charlesworth. Patterns of genetic variability in genomic regions with low rates of recombination.
<p>Data and code relating to Becher, Jackson & Charlesworth. Patterns of genetic variability in genomic regions with low rates of recombination.</p> <p>Contains genotype data, R code for analysis and visualisation, a SLiM simulation script, README, etc.</p>
Recalibration of the lunar chronology due to spatial cratering-rate variability - Supporting Information
<p>CR_moon.csv: Relative cratering rate shown in Fig.3 and 5.a. The<strong> </strong>data are provided over the full range of latitudes and longitudes, with a 1-degree bin.</p> <p>SI_convert_age.m: Matlab code computing model ages of Plutarch and Kirkwood craters using the chronology function presented in this study.</p>
Data for Project 'Test-Retest Reliability and Validity of vagally-mediated Heart Rate Variability to Monitor Internal Training Load in Older Adults: A within-subjects (repeated-measures) randomized study'
<p>Data for Project 'Test-Retest Reliability and Validity of vagally-mediated Heart Rate Variability to Monitor Internal Training Load in Older Adults: A within-subjects (repeated-measures) randomized study' consisting of (1) the original and complete dataset ('Data_Brain-IT-Reliability-of-HRV-during-Exergaming_for-publication'; and (2) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.</p>
Wrist-worn sensor validation for heart rate variability and electrodermal activity detection in a stressful driving environment
<p>The current dataset contributes to assess the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Heart Rate Variability (HRV) and ElectroDermal Activity (EDA) signals were recorded over six experimental conditions (i.e., Baseline, Video Clip, Scream, No Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The raw quality of the physiological signals was enhanced by means of robust semi-automatic reconstruction algorithms. Heart Rate Variability time-domain parameters showed high accuracy in motion-free experimental conditions, while Heart Rate Variability frequency-domain parameters reported sufficient accuracy in almost every experimental condition.</p>
irisTECH: An in situ dataset for variable rate fertilization
<p>In this repository we present the data from irisTECH pilot activities realted to variable rate fertilization. irisTECH aspires to develop a novel, easy-to-use and low-cost, variable rate fertilization system for application in linear crops. The project is based on hyperspectral sensors and actuators combined with the functions of a system utilizing artificial intelligence technology in order to perform real time identification of crop/soil system in fertilizer and then apply the necessary quantity of granular fertilizers if needed. The proposed approach is opposed to existing solutions that require information collection, offline map editing and mapping, and then re-visit to the field for application. irisTECH utilizes state-of-the-art technologies and in particular emerging developments in the field of internet of things (IoT), artificial intelligence, embedded systems, cloud computing and image processing. In this rapidly expanding market, from a commercial perspective, the proposed project aspires to be an important research and innovation action with a targeted impact at national and wider international level.</p>
Perceived Social Support, Heart Rate Variability, and Hopelessness in Patients With Ischemic Heart Disease
ClinicalTrials.gov study NCT05003791. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Populations of arable weed species show intra-specific variability in germination base temperature but not in early growth rate
<p>Key plant traits affecting growth performance can differ among and within species, influencing competitive plant community dynamics. We determined the intra-specific variability of germination base temperature among 13 arable weed species and the seedlings' early post-emergence relative growth rate among 21 species in climate chamber and green house experiments. Intra-specific variability was quantified with two seed populations (originating from contrasting climate in Germany & France) for the germination base temperature of 6 species and for the early growth rate of 16 species. Inter-specific variability for both traits was always higher than intra-specific variability. Within a given species, we found that germination base temperatures were higher in seeds stemming from colder climate populations. Seedling relative growth rates did not differ between seed populations. Models simulating weed growth should reflect these differences in germination traits among populations, especially when they are used for weed community assembly studies in a local to regional extent.</p>
Temporal instability of lake charr phenotypes: Synchronicity of growth rates and morphology linked to environmental variables?
<p>Pathways through which phenotypic variation among individuals arise can be complex. One assumption often made in relation to intraspecific diversity is that the stability or predictability of the environment will interact with expression of the underlying phenotypic variation. <span>To address</span> biological complexity below the species level<span>, we investigated variability across years in morphology and annual growth increments between and within two sympatric lake charr <i>Salvelinus namaycush</i> ecotypes in Rush Lake, USA. </span>A rapid phenotypic shift in body and head shape was found within a decade. The magnitude and direction of the observed phenotypic change was consistent in both ecotypes, which suggests similar pathways caused the variation over time. Over the same time period, annual growth increments declined for both lake charr ecotypes and corresponded with a consistent phenotypic shift of each ecotype. Despite ecotype-specific annual growth changes in response to winter conditions, the observed annual growth shift for both ecotypes was linked, to some degree, with variation in the environment. Particularly, a declining trend in regional cloud cover was associated with an increase of early stage (ages 1-3) annual growth for lake charr of Rush Lake. Underlying mechanisms causing changes in growth rates and constrained morphological modulation are not fully understood. An improved knowledge of the biology hidden within the expression of phenotypic variation promises to clarify our understanding of temporal morphological diversity and instability.</p>
Dataset for article: Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Biological Psychology, 82(1), pp. 82-88
<p>Dataset for article:</p> <p>Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Biological Psychology, 82(1), pp. 82-88</p>
Breathing frequency bias in fractal analysis of heart rate variability (datasets)
<p>data form the article:</p> <p>Perakakis, P., Taylor, M., Martinez-Nieto, E., Revithi, I., Vila, J. (2009). Breathing Frequency Bias in Fractal Analysis of Heart Rate Variability. Bi- ological Psychology, 82(1), pp. 82-88 </p>
Lagain et al., (2023) - Icarus - Recalibration of the lunar chronology due to spatial cratering-rate variability - Data and Code
<ul> <li>CR_moon.csv: Relative cratering rate shown in Fig.3. The<strong> </strong>data are provided over the full range of latitudes and longitudes, with a 1-degree bin.</li> <li>SI_convert_age.m: Matlab code converting model ages of Plutarch and Kirkwood craters from Neukum et al. (2001) chronology into the one presented in this study. </li> </ul>
Heart rate variability: Can it serve as a marker of mental health resilience?
<p>Heart rate variability: Can it serve as a marker of mental health resilience?</p> <p>Background: Stress resilience influences mental well-being and vulnerability to psychiatric disorders. Usually, measurement of resilience is based on subjective<br> reports, susceptible to biases. It justifies the need for objective biological/physiological biomarkers of resilience. One promising candidate as biomarker of mental<br> health resilience (MHR) is heart rate variability (HRV). The evidence for its use was reviewed in this study.<br> Methods: We focused on the relationship between HRV (as measured through decomposition of RR intervals from electrocardiogram) and responses to laboratory<br> stressors in individuals without medical and psychiatric diseases. We conducted a bibliographic search of publications in the PubMed for January 2010–September<br> 2018.<br> Results: Eight studies were included. High vagally mediated HRV before and/or during stressful laboratory tasks was associated with enhanced cognitive resilience to<br> competitive/self-control challenges, appropriate emotional regulation during emotional tasks, and better modulation of cortisol, cardiovascular and inflammatory<br> responses during psychosocial/mental tasks.<br> Limitations: All studies were cross-sectional, restricting conclusions that can be made. Most studies included only young participants, with some samples of only<br> males or females, and a limited array of HRV indexes. Ecological validity of stressful laboratory tasks remains unclear.<br> Conclusions: Vagally mediated HRV may serve as a global index of an individual's flexibility and adaptability to stressors. This supports the idea of HRV as a plausible,<br> noninvasive, and easily applicable biomarker of MHR. In future longitudinal studies, the implementation of wearable health devices, able to record HRV in naturalistic<br> contexts of real-life, may be a valuable strategy to gain more reliable insight into this topic.</p>
A Dataset of Dropout Rates and Other School-Level Variables in Louisiana Public High Schools
<p>This massive dataset of school variables covering a duration of five academic years (2014-15 to 2018-19) was originally compiled with the intention of identifying the factors that correlate with high school dropout in Louisiana public high schools, specifically. However, it can be useful to any researchers interested in analyzing school-level data concerning a wide range of variables beyond merely dropout rates. This dataset also contains socioeconomic demographics, financial variables, class size, and much more.</p>
On Trapped Modes In Variable White Dwarfs As Probes Of The 12C(α, γ)16O Reaction Rate
<p>The files in this dataset should have everything to re-produce figure 10, the summary plot in the manuscript.</p>
Data used in the article "Variable rate of ageing within species: insights from Darwin's frogs"
<p>Data used in the article "Variable rate of ageing within species: insights from Darwin’s frogs" published by the Biological Journal of the Linnean Society. This includes four population-specific .csv files formatted as required by the R's BaSTA package (https://cran.r-project.org/web/packages/BaSTA/index.html). The variables in each file are: ID (number of each individual), Birth (estimated year of birth), Death (in our study this variable is unknown for all individuals), and each year of capture-recapture data from 2014 to 2020 (a 1 indicates that individual was captured a given year, while a 0 indicates the individual was not captured that year). If you plan to use this dataset, we strongly recommned to contact the project leader, Andrés Valenzuela-Sánchez, at: andresvalenzuela.zoo@gmail.com or avalenzuela@ranitadedarwin.org.</p>
Supplementary material to the article "Finding a way into an interpreter's heart: Methodological considerations on heart-rate variability building on an exploratory study"
<p>Supplementary material to the article "Finding a way into an interpreter's heart: Methodological considerations on heart-rate variability building on an exploratory study" by Nicoletta Spinolo, Christian Olalla-Soler & Ricardo Muñoz Martín. </p> <p>The ZIP file contains the four texts that were used in the study reported in the article. </p> <p>Reference:</p> <p>Spinolo, Nicoletta; Olalla-Soler, Christian, Muñoz Martín, Ricardo (202X). "Finding a way into an interpreter's heart: Methodological considerations on heart-rate variability building on an exploratory study". </p>
Data from: Experimental assessment of downstream environmental DNA patterns under variable fish biomass and river discharge rates
<p><span>The development of environmental DNA (eDNA) methods towards implementation as a cost-effective, nonlethal tool for fish biomonitoring in lotic environments requires insights on the temporal and spatial distribution of eDNA in river systems. Yet, little is known on how downstream eDNA dispersal is affected by the combination of river discharge and source biomass effects. In this study, we aimed at unravelling the effect of source- and system-specific processes on the stream reach of eDNA. We used a longitudinal cage study in two river sections characterized by a significantly different discharge rate, where two invasive and two native fish species were introduced under two contrasting biomass treatments. Using droplet digital PCR (ddPCR) analyses, we found that eDNA concentrations become strongly reduced 2 km downstream from the source, an effect that is strengthened with increasing river discharge and coinciding dilution effects. Higher discharge rates resulted in equal or even higher detection probabilities at increasing distance from the source. The introduction of high fish stock biomass resulted in an increase of eDNA concentrations, as well as detection probabilities and in parallel reduced the stochasticity of the measurements. A peak in eDNA concentrations at a downstream distance ranging between 300 m and 2 km confirms the complexity of plume-shaped downstream eDNA patterns. Our results showed interspecific variation in eDNA emission and suggest species-specific differences in eDNA persistence. This study underlines the impact of both river discharge rate and source biomass on downstream eDNA detection and dispersal patterns. </span></p>
Data from: Disentangling the variability of symbiotic nitrogen fixation rate and the controlling factors
<p>Symbiotic nitrogen (N) fixation (SNF), replenishing bioavailable N for terrestrial ecosystems, exerts decisive roles in N cycling and gross primary production. Nevertheless, it remains unclear what determines the variability of SNF rate, which retards the accurate prediction for global N fixation in earth system models. This study synthesized 1230 isotopic observations to elucidate the governing factors underlying the variations of SNF rate. The SNF rates varied significantly from 3.69 to 12.54 g N m<sup>-2</sup> yr<sup>-1</sup> across host plant taxa. The traits of host plant (e.g., biomass characteristics and taxa) far outweighed soil properties and climatic factors in explaining the variations of SNF rate, accounting for 79.0% of total relative importance. Furthermore, annual SNF yield contributed to more than half of N uptake for host plants, which was consistent across different ecosystem types. This study highlights that the biotic factors, especially host plant traits (e.g., biomass characteristics and taxa), play overriding roles in determining SNF rate compared with soil properties. The suite of parameters for SNF lend support to improve N fixation module in earth system models that can provide more confidence in predicting bioavailable N changes in terrestrial ecosystems.</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.