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2,732 results for “Physiology”
Data for: Epicardial slices: an innovative 3D organotypic model to study epicardial cell physiology and activation.
<p>Raw data set for Npj Regenerative Medicine article: Epicardial slices: an innovative 3D organotypic model to study epicardial cell physiology and activation.</p>
Physiological information in Canadian species at risk recovery strategies (animals)
<p>Summary of physiological information contained in Canadian (animal) species at risk recovery strategies (SARA). For each recovery strategy, the dataset includes the species covered, publication dates, taxonomic classification, the number of times physiology was mentioned, the types of physiological traits included, and the threats the associated organism faces.</p>
Data for 'Phenological shifts in a warming world affect physiology and life history in a damselfly'
<p>In this analysis we studied, in laboratory conditions, the impact of warming and hatching dates on key life history and physiological traits in a cannibalistic damselfly, <em>Ischnura</em> <em>elegans</em>. Larvae were reared in groups from hatching to emergence through one or two growth seasons, depending on the voltinism. Larvae were equally divided by hatching dates (early and late) and temperature treatment (current and warming). Early and late hatched groups were not mixed. This data set includes:</p> <ul> <li>survival until emergence and emergence success data</li> <li>development time (from hatching to emergence, in days)</li> <li>mass of adult insects</li> <li>growth rate (mass of adult insect/development time in days)</li> <li>protein content (μg of protein/μl of prepared homogenate)</li> <li>phenoloxidase activity (PO, value of activity curve slope)</li> <li>PO activity/protein (value of activity curve slope/(μg of protein/μl of prepared homogenate)</li> <li>insects voltinism (univoltine/semivoltine)</li> </ul>
Stability characterization of microfluidic lipid-stabilized double emulsions under physiologically-relevant conditions
<p>Double emulsions (DEs) are water-in-oil-in-water (or oil-in-water-in-oil) droplets with the potential to deliver combinatory therapies due to their ability to co-localize hydrophilic and hydrophobic molecules in the same carrier. However, DEs are thermodynamically unstable and only kinetically trapped. Extending this transitory state, rendering DEs more stable, would widen the possibilities of real-world applications, yet characterization of their stability in physiologically-relevant conditions is lacking. In this work, we used microfluidics to produce lipid-stabilized DEs with reproducible monodispersity and high encapsulation efficiency. We investigated DE stability under a range of physico-chemical parameters such as temperature, pH and mechanical stimulus. Stability through time was inversely proportional to temperature. DEs were significantly stable up to 8 days at 4 oC, 5 days at RT and 2 days at 37 oC. When encapsulating a cargo, DE stability decreased significantly. When exposed to a pH change, unloaded DEs were only significantly unstable at the extremes (pH 1 and 13), largely outside physiological ranges. When exposed to flow, unloaded DEs behaved similarly regardless of the mechanical stimulus applied, with approximately 70% remaining after 100 flow cycles of 10s. These results indicate that lipid-stabilized DEs produced via microfluidics could be tailored to endure physiologically-relevant conditions and act as carriers for drug delivery. Special attention should be given to the composition of the solutions, e.g. osmolarity ratio between inner and outer solutions, and the interaction of the molecules, e.g. carrier and cargo, involved in the final formulation.</p>
Insights into the Cyst Organisation and Selected Morpho-Physiological Aspects of Encystment in Thulinius ruffoi
<p>This dataset is related with studies on morpho-physiological aspects of encystment in Thulinius ruffoi (Parachela, Isohypsibioidea: Doryphoribiidae). Data gathered to elucidate the adaptations of these microinvertebrates to environmental changes. Encystment is an adaptive response in tardigrades triggered by environmental cues and potentially by internal factors. The dataset provides insights into cellular organization, morphology, and anatomy during cyst formation in selected tardigrade species. This dataset is supplemented by two others available at <a target="_new" rel="noopener">10.5281/zenodo.10008352</a> and <a target="_new" rel="noopener">10.5281/zenodo.11213808</a>.</p>
Data for "Microstructural mapping of A. islandica shells reveals environmental and physiological controls on biomineral size"
<p>This data contains the image segmentation workflow, data processing procedure and all data generated for the publication "Microstructural mapping of A. islandica shells reveals environmental and physiological controls on biomineral size" currently under review.</p>
Heterogeneous environmental seascape across a biogeographic break influences the thermal physiology and tolerances to ocean acidification in an ecosystem engineer
<p>Dataset for the metabolic rates of limpets under two different pCO2/pH conditions</p> <p>MR are in O2 mg h−1g−1</p>
Physiological Signals During Motor Imagery Brain-Computer Interface Training Using Virtual Reality and Haptics
<p><strong>Participant demographics:</strong></p> <p>The sample is consisted by 20 healthy volunteers with a mean age of 24.79 years (SD = 3.54 years). The cohort was 68% male and 32% female. In terms of education, 16% had attended only high school, while 32% had a bachelor's degree, 42% a master's degree, and 11% a doctorate. All participants signed an informed consent before participating in the study in accordance with the 1964 Declaration of Helsinki.</p> <p><strong>Experiment Description:</strong></p> <p>The experiment consisted in having the subjects perform motor imagery of a bimanual rowing task with two individual paddles, one in each hand, under five experimental conditions. Four of these conditions used NeuRow (<a href="https://link.springer.com/chapter/10.1007/978-3-030-27950-9_1"><strong>Vourvopoulos et al. (2016-2019</strong>))</a>—a VR environment that renders virtual arms from a first-person perspective—while the other conditions used abstract feedback based on the BCI-Graz paradigm<a href="https://ieeexplore.ieee.org/abstract/document/1214714"> (<strong>Pfurtscheller et al. (2003))</strong></a>. All six conditions and their acronyms are described below:</p> <ol> <li><strong>Motor Imagery(MI)</strong>: The standard motor imagery training, with a fixation cross and directional arrows on a black background guiding the subjects through the experiment.</li> <li><strong>Motor Imagery/Motor Observation (MIMO):</strong> A motor imagery training paradigm using NeuRow, with a fixation cross and directional arrows overlaid on the VR environment, which was displayed through a monitor.</li> <li><strong>Motor Imagery/Motor Observation with Haptics (MIMOHP): </strong>A motor imagery training paradigm using NeuRow, with a fixation cross and directional arrows overlaid on the VR environment, which was displayed through a monitor. Hand controllers also provided haptic feedback through vibrotactile stimulation.</li> <li><strong>Motor Imagery/Motor Observation with VR HMD (MIMOVR):</strong> A motor imagery training paradigm using NeuRow, with a fixation cross and directional arrows overlaid on the VR environment, which was displayed through a VR HMD.</li> <li><strong>Motor Imagery/Motor Observation with VR HMD and Haptics (MIMOVRHP):</strong> A motor imagery training paradigm using NeuRow, with a fixation cross and directional arrows overlaid on the VR environment, which was displayed through a VR HMD. Hand controllers also provided haptic feedback through vibrotactile stimulation.</li> <li><strong>Motor Execution (ME):</strong> A fixation cross and directional arrows were displayed on a black background through a monitor (same as in MI), and guided the subjects through the experiment by having them tap their fingers accordingly. Data from this condition was available only after S07, so only 10 subjects<br> have performed ME.</li> </ol> <p>Finally, this experiment followed a within-subject design, in a randomized order of the conditions to minimize any order effects, while MI and ME conditions acted as control.</p> <p><strong>Equipment:</strong></p> <p>A wireless EEG amplifier (LiveAmp; Brain Products GmbH, Gilching, Germany) was used, with 32 active electrodes(+3 ACC) with a sampling rate of 500Hz. In addition, <strong>ECG, PPG</strong> and <strong>Respiration</strong> signals have been recorded synchronously in a bipolar montage, and connected to the EEG amplifier’s AUX input through the Brain Products BIP2AUX adapter.</p> <p>Visual feedback was provided through a monitor in all conditions except in MIMOVR and MIMOVRHP, in which an Oculus Rift CV1 headset (Reality Labs, formerly Facebook, Inc., CA, USA) was used instead. Haptic feedback was provided through the Oculus Rift hand controllers.<br> </p> <p><strong>Channel Indices:</strong></p> <p><strong>EEG</strong>: 1-32<br> <strong>PPG</strong> (AUX1): 33<br> <strong>Resp</strong>. (AUX2): 34<br> <strong>ECG</strong> (AUX3): 35<br> <strong>ACC</strong>: 36-38</p> <p> </p> <p><strong>Event codes:</strong></p> <table> <tbody> <tr> <td><strong>Code</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>S01</td> <td>Experiment Start</td> </tr> <tr> <td>S02</td> <td>Baseline Start</td> </tr> <tr> <td>S03</td> <td>Baseline Stop</td> </tr> <tr> <td>S04</td> <td>Start Of Trial</td> </tr> <tr> <td>S05</td> <td>Cross On Screen</td> </tr> <tr> <td>S07</td> <td>class1, Left hand </td> </tr> <tr> <td>S08</td> <td>class2, Right hand </td> </tr> <tr> <td>S09</td> <td>Feedback Continuous</td> </tr> <tr> <td>S10</td> <td>End of Trial</td> </tr> <tr> <td>S11</td> <td>End Of Session</td> </tr> <tr> <td>S12</td> <td>Experiment Stop</td> </tr> </tbody> </table> <p> </p> <p><strong>Directory tree:</strong></p> <p>ROOT<br> |<br> +--- USER #<br> | +---SESSION #<br> | | +---TASK #<br> | | | +---MI<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MIMO<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MIMOHP<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MIMOVR<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---MIMOHPVR<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk<br> | | | +---ME<br> | | | | .eeg<br> | | | | .vhdr<br> | | | | .vmrk</p> <p> </p> <p><strong>Note: </strong>The first three datasets are from pilot sessions: sub-p01 to p03. From sub-01 to 19, subjects 10 and 11 have been removed due to the lack of markers. Subject sub-13, task MIMOVRHP is missing.</p> <p> </p>
Seasonal trends in leaf level physiological parameters, obtained through gas exchange, reflectance spectroscopy and, functional trait analysis
This data package contains leaf level gas exchange, reflectance spectroscopy, and functional trait measurements collected in six common deciduous tree species across the full 2021 growth season (May -October) at the Black Rock Forest in Cornwall, New York, USA. Branches were sampled predawn using the shotgun method of branch retrieval, and re-cut under water to preserve hydraulic function before transport to the lab. Gas exchange data included in this package are stomatal response curves (irradiance response) which can be used to estimate stomatal slope and intercept. Spectroscopic data are full-range (350 – 2500 nm) leaf reflectance spectra collected on all leaves sampled for gas exchange and traits. Leaf level trait measurements include leaf mass per area (LMA), leaf dry matter content (LDMC), elemental nitrogen and carbon expressed on a per mass basis, and fitted values of Asat, Vcmax, and Rdark scaled to a reference temperature of 25C. Data from these three data tables (stomatal responce, spectra, leaf traits) can be cross referenced using the unique SampleID. Additional data tables include stomatal anatomy (stomatal density, length, and width of the guard cells), hydraulic properties estimated from pressure volume curves (relative water deficit at the turgor loss point), and predawn water potential for all sampled branches. Site level data includes the dGPS location of each sampled tree, its species, and DBH. Each tabular data file (*.csv) is accompanied by a data description (*_dd.csv) which includes relevant metadata (unit, definition, data type). Copies of all raw instrument output (spectroradiometer, LICOR, pressure chamber) and included as .zip files.
SRM01 ShRaMPs (Shrub Rainout Manipulation Plots): interactive effects of drought and fire on grass and shrub physiology and productivity at Konza Prairie
ShRaMPs (Shrub Rainout Manipulation Plots) is a drought x fire experiment aimed at understanding the interactive effects of drought and fire frequency on tallgrass prairie communities experiencing varying degrees of shrub encroachment. Passive rainout shelters were constructed over existing, mature shrub islands and co-existing herbaceous communities on neighboring 1-year and 4-year burn watersheds (K1B and K4A). Shelters were either 'control' (ambient precipitation) or 'drought' (~50% precipitation reduction). A variety of leaf-level (gas exchange, water potential, turgor loss point, leaf δ13C) and whole-plant level (herbaceous and shrub biomass, plant water uptake) variables were measured during the 2019-2022 growing seasons to determine the physiological responses of a dominant C4 grass (Andropogon gerardii; big bluestem) and an encroaching clonal shrub (Cornus drummondii; rough-leaf dogwood). Soil volumetric water content was measured on-site for the duration of the experiment.
LPT01 Leaf physiological and structural traits of encroaching shrub species at Konza Prairie
A variety of leaf-level physiological and structural traits were collected on seven species of encroaching shrubs at Konza Prairie Biological Station during the summer of 2022. Shrub species spanned an order of magnitude in abundance. These data were used to assess if the most abundant encroaching species at Konza Prairie have common growth forms and physiology or unique traits that differentiate their carbon- and water-use strategies. Measurements included A-Ci response curves, light response curves, pressure-volume curves, specific leaf area, leaf dry matter content, leaf carbon and nitrogen content, leaf 13C and wood density. All measurements were collected on the same shrub individuals.
Geographical distribution of co-authors of Nobel laureates 1994-2018 in Physics, Chemistry and Physiology or Medicine
<p>Geographical distribution of co-authors of Nobel laureates 1994-2018 in Physics, Chemistry and Physiology or Medicine. Appendix to the article «Quantitative analysis of the co-publications of Ukrainian scientists with the Nobel laureates 1994-2018 in Science».</p>
Chemical-genetic interrogation of RNA polymerase mutants reveals structure-function relationships and physiological tradeoffs
<p>The multi-subunit bacterial RNA polymerase (RNAP) and its associated regulators carry out transcription and integrate myriad regulatory signals. Numerous studies have interrogated the inner workings of RNAP, and mutations in genes encoding RNAP drive adaptation of <i>Escherichia coli</i> to many health- and industry-relevant environments, yet a paucity of systematic analyses has hampered our understanding of the fitness benefits and trade-offs from altering RNAP function. Here, we conduct a chemical-genetic analysis of a library of RNAP mutants. We discover phenotypes for non-essential insertions, show that clustering mutant phenotypes increases their predictive power for drawing functional inferences, and demonstrate that some RNA polymerase mutants both decrease average cell length and confer insensitivity to killing by cell-wall targeting antibiotics. Our findings demonstrate that RNAP chemical-genetic interactions provide a general platform for interrogating structure-function relationships <i>in vivo</i> and for identifying physiological trade-offs of mutations, including those relevant for disease and biotechnology. This strategy should have broad utility for illuminating the role of other important protein complexes.</p>
Close range hyperspectral camera dataset with high temporal resolution of strawberry with eco-physiological data of one leaf
<p>This high temporal resolution dataset of a strawberry plant was captured in two experiments, each lasting 100h. On leaf was inserted into a leaf chamber of the LI-6400XT gas exchange system, capturing information on transpiration, photosynthesis and stomatal conductance. Environmental characteristics are also captured at canopy height. These experiments were conducted in a growth chamber at ILVO (Melle, Belgium) and only covered conditions that did not result in stress in the plant. As such, this dataset attempts to capture subtle dynamic variation in the plant.</p>
Data of physiology, biomechanics and hydrodynamics of a freshwater macrophyte
<p>This data package provides post-processed data used in the manuscript “Linking plant stress and hydrodynamics: evidence from freshwater macrophytes” submitted to Water Resources Research. The data package contains data obtained from direct measurements of maximum quantum yield of photosystem II, morphological characteristics and flexural rigidity of the freshwater macrophyte <em>Potamogeton natans</em>. Further, data of flow velocity, drag force, plant deflected height and plant centroid height obtained from flume experiments carried out with samples of <em>P. natans</em> are reported.</p>
Differential associations between nucleotide polymorphisms and physiological traits in Norway spruce (Picea abies Karst.) provenances under contrasting water regimes
<p>Three datasets are provided here, yielded by a study on drought-stressed and control (well-watered) seedlings of Norway spruce (Picea abies Karst.), coming from 5 provenances distributed along a steep altitudinal gradient from 550 to 1,280 m a.s.l. in central Slovakia:</p> <p>1. physiological traits</p> <p>2. double-digest restriction-site associated sequencing data (ddRAD)</p> <p>3. nuclear microsatellite (nSSR) genotypes</p>
Dataset for article: Jaber-Lopez, T., Garcia-Gallego, A., Perakakis, P., Georgantzis, N. (2014). Physiological and behavioral patterns of corruption. Frontiers in Behavioral Neuroscience
<p>Dataset and matlab analysis scripts for article: Dataset for article: Jaber-Lopez, T., Garcia-Gallego, A., Perakakis, P., Georgantzis, N. (2014). Physiological and behavioral patterns of corruption. Frontiers in Behavioral Neuroscience</p>
Physiological trait and genotype data for 1,038 outbred CFW mice
<p>R data set containing physiological trait data and genotype data for 1,038 mice from the Carworth Farms White (CFW) outbred mouse stock. These data were collected as part of a large study to assess the viability of using Carworth Farms White (CFW) mice for mapping genes and genetic loci underlying complex traits relevant to the study of human disease and psychology. The data accompany the following publication:</p> <p>Parker CC, Gopalakrishnan G, Carbonetto P, Gonzales NM, Leung E, Park YJ, Aryee E, Davis J, Blizard DA, Ackert-Bicknell CL, Lionikas A, Pritchard JK, Palmer AA. Genome-wide association study of behavioral, physiological and gene expression traits in commercially available outbred CFW mice. <em>Nature Genetics</em> <strong>48</strong>: 919–926.</p> <p>To use these data for your research, please cite this Zenodo resource, as well as the paper published in <em>Nature Genetics</em>.</p> <p>After loading these data into the R environment, e.g., by running "load(cfw.RData)", you will find R objects including:</p> <p>"pheno"—a 1,038 x 7 matrix containing the quantitative trait, or "phenotype", data. Traits include body weight, tibia length, muscle weights (EDL and soleus), and a binary indicator for abnormal bone health.</p> <p>"map"—a data frame containing information for 79,748 single nucleotide polymorphisms (SNPs) on chromosomes 1–19 genotyped in the CFW mice. All genomic positions are based on Mouse Genome Assembly 38 from the NCBI database (mm10, December 2011).</p> <p>"geno"—a 1,038 x 79,748 matrix containing genotype data for 1,038 mice at 79,748 SNPs.</p> <p>For more information on these data, please refer to the Data Dryad repository: http://dx.doi.org/10.5061/dryad.2rs41</p> <p>For code implementing QTL mapping of physiological, behavioral and gene expression phenotypes, and other analyses of these data, see: http://github.com/pcarbo/cfw</p>
Supplementary material of the article "OpenModelica-based virtual simulator for the cardiovascular and respiratory physiology of a neonate"
<p>This document contains the adjustment data for the parameters of the model presented in the article: "<strong>OpenModelica-based virtual simulator for the cardiovascular and respiratory physiology of a neonate</strong>"</p>
FIGURE 4. Gammarus shirazinus n in tacea, Amphipoda) from warm springs in the south-east pre-alpine area of the Zagros, Iran: habitats with physiological challenges. Zootaxa, 2546, 31-51.
FIGURE 4. Gammarus shirazinus n. sp., holotype, ♂, 22 mm., from Pole-Berenji spring, S of Shiraz. A: pereopod 5, B: pereopod 6, C: pereopod 7, D: urosomites, E: epimeral plates, and F: uropod 3.
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.