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429 results for “physiological data”

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zenodo40/100

Data for dual behavioral-physiological buffering of mothers' milk

<p>This file (Ariaal_dual_buffering_data) contains the dataset used for the journal article manuscript entitled, "Dual behavioral-physiological buffering of mothers&rsquo; milk facilitate drought adaptability of pastoralists and agropastoralists in northern Kenya" by Fujita, Wander, Straight, and Wamwere-Njoroge. This manuscript is under review for publication as of August, 2024. The variables and data are found under the data tab, and the data coding information in the info &amp; code tab.</p> <p>&nbsp;</p> <p>Please contact Masako Fujita (ORCID 0000-0001-9173-6678, E-mail masakof@msu.edu) for questions regarding the data.</p> <p>&nbsp;</p> <p>Condition for data use: Please cite DOI (DOI: 10.5281/zenodo.13285825) for this data file and the article, and acknowledge the support from the grant agencies listed below:</p> <p>Data source/article:</p> <p>Fujita M. 2024. Data for dual behavioral-physiological buffering of mothers' milk. DOI: 10.5281/zenodo.13285825.</p> <p>Fujita M, Wander K, Straight B, Wamwere-Njoroge G. [Year] Dual behavioral-physiological buffering of mothers&rsquo; milk facilitate drought adaptability of pastoralists and agropastoralists in northern Kenya. [Journal name, article DOI].</p> <p>Grant support:</p> <p>&nbsp;&nbsp; National Science Foundation (BCS-0622358, BCS-1638167)</p> <p>&nbsp;&nbsp; Wenner-Gren Foundation (Gr. 7460, Gr. 9278)</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Physiological Data Collected from smartwatch: EDA, Pulse Rate, and Skin Temperature for Stress and Fatigue Analysis

<p>The dataset contains multiple columns capturing both <strong>physiological and demographic data</strong>.<strong> Physiological data</strong>, collected using the <strong>Empatica EmbracePlus smartwatch,</strong> includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. <strong>The processed data is aggregated on a per-minute basis.</strong></p> <p>Demographic information, such as age, gender, fitness level, and sleep duration from the previous night, is also included. Additionally, participants rated their perceived physical fatigue on the Borg scale (ranging from 6 to 20), offering a subjective measure of exertion during or after physical tasks.</p> <p>The dataset was collected during controlled simulations of industrial tasks in a fitness environment. These simulations involved repetitive activities, including weightlifting, resistance band exercises, and isometric tasks, designed to mimic the physical demands of industrial work. This approach allowed for the safe and effective study of physical fatigue. The resulting data provides valuable insights into the physiological responses associated with repetitive physical labor.</p>

opencc-by-4.0Oct 2024View details →
dryad40/100

Physiological data and R script for running physiology combined model for Drosophila suzukii

<p>This is the dataset that accompanies an article entitled "The use of insect life tables in optimizing invasive pest distributional models" that would be published in Ecography. The dataset include two R script that used to generate physical model and the physiology combined model respectively. Our paper shows that the physiology combined model show good performance when applying ecological niche model in risk assessment. We addressed this by determining whether incorporating physiological data from life table analyses of an invasive insect, Drosophila suzukii, improved predictions of ecological niche models. The dataset also include the physiology data D. suzukii that we assembled for running our physiology combined model.</p>

opencc-zeroJul 2021View details →
zenodo40/100

BurnCare Physiology Data: Burn with Resuscitation and Escharotomy

<p>A standard male patient with burns from 20-40% TBSA (incrementing at 5%) were simulated through 24 hours with&nbsp;intervention and state files were generated every hour. In these resuscitation protocols, we opt to use only lactated ringers, and no colloid compounds.&nbsp;The data&nbsp;includes a log and csv results file for each simulation. The&nbsp;&quot;golden path&quot; of treatment starts the resuscitation pathway with fluids being given at a rate of 10xTBSA (then titrated up or down each hour based on urine output). The naming structure for each state consists of tbsa, simulation time, current ringers lactate infusion rate, and colloid infusion rate (for future treatment protocols).</p> <p>&nbsp;</p> <p>Additionally, we include checks on the hour for compartment syndrome and relieve it with an escharotomy if one is present.&nbsp;</p>

opencc-by-4.0Aug 2021View details →
zenodo40/100

Data from: Additive effects of developmental acclimation and physiological syndromes on lifetime metabolic and water loss rates of a dry-skinned ectotherm

<p>Data sets from the paper: &quot;Additive effects of developmental acclimation and physiological syndromes on lifetime metabolic and water loss rates of a dry-skinned ectotherm&quot; by Dezetter et al. in&nbsp;Functional Ecology.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo40/100

Data: More than 1000 genotypes are required to derive robust relationships between yield, yield stability and physiological parameters: a computational study on wheat crop

<p>APSIM-Wheat&nbsp;<strong>(</strong><a href="">www.apsim.info</a><strong>)</strong>&nbsp;was used to simulate a data set (for details, see&nbsp;Casadebaig<em> et al.</em>, 2016) with 9100 virtual genotypes (<em>N</em><sub>gen</sub>= 9100) grown under 9000 environments (<em>N</em><sub>env</sub>=9000). In short, virtual genotypes were created by varying the value of 90 independent physiological parameters in a range of &plusmn;20% from the reference cultivar <em>Hartog</em>.&nbsp;Environments in the dataset contain historical climate data of 125 years (1889-2013) in four locations (Emerald, Narrabri, Yanco and Merredin) in Australia, in combination with two CO<sub><sup>2</sup></sub> levels (380 and 555 ppm), three nitrogen levels (low: 50%, control: 100% and high fertilization: 100% plus 50 kg‧ha<sup>-1</sup>) and three sowing dates (early, control and late).</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Data - Krieg et al. Reproductive phases coincide with changes in morphology and photosynthetic physiology in an endangered cycad species

<p>Summary of the data set used in&nbsp;Krieg et al. (2023) Reproductive phases coincide with changes in morphology and photosynthetic physiology in an endangered cycad species. Conservation Physiology.</p>

opencc-by-4.0Mar 2023View details →
dryad40/100

Data for: Upslope migration is slower in species with high physiological demands

<p>Climate change is forcing species to migrate to cooler temperatures at higher elevations, yet many taxa are dispersing slower than necessary. One yet-to-be-tested explanation for inadequate migration rates is that high-elevation environments pose physiological barriers to dispersal, particularly in species with high metabolic demands. Our global synthesis of &gt;800 species supports this "physiological constraints" hypothesis: upslope migration is slower in insects that depend on nature's most expensive locomotor strategy—flight. </p>

opencc-zeroJul 2023View details →
dryad40/100

Physiology data for: Biomechanical origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg

<p>Our ability to sense and move our bodies relies on proprioceptors, sensory neurons that detect mechanical forces within the body. Because they are located within complex and dynamic peripheral tissues, the underlying mechanisms of proprioceptor feature selectivity remain poorly understood. Using single-nucleus RNA sequencing, we found that proprioceptor subtypes in the <em>Drosophila</em> leg express similar complements of mechanosensory and other ion channels. However, anatomical reconstruction of the proprioceptive organ and connected tendons revealed major biomechanical differences between proprioceptor subtypes. We constructed a computational model that identified a biomechanical mechanism for joint angle selectivity and predicted the existence of a goniotopic map of joint angle among position-tuned proprioceptors, which we confirmed using calcium imaging. Our findings suggest that biomechanical specialization is a key determinant of proprioceptor feature selectivity in <em>Drosophila</em>. The discovery of proprioceptive maps in the fly leg reveals common organizational principles between proprioception and other topographically organized sensory systems.</p>

opencc-zeroJul 2023View details →
zenodo40/100

Raw Data for Unpublished Study "Physiologically Induced State Anxiety Reduces Perceived Heat Pain in Healthy Subjects"

<p>Version hyper_v01_20231019</p><p>Authors: Alexandros Guekos, Madeleine Hau, Sabina Grob, Gil Sharvit, Petra Schweinhardt</p><p>The present data was collected from February 2022 to May 2023 for a study on the influence of hypercapnia on pain perception.</p><p>The results are to be published soon. A link to the manuscript will be provided.</p><p>Full details of the paradigm, the experimental setup, and the analysis will be given there. Therefore, the following description only summarizes the most important steps.</p><p>In total, 47 subjects (22 men and 25 women) participated in a single experimental session during which they inhaled two different air mixtures, one coresponding to regular room air (normocapnic air, 21% O2 and 0.04 CO2) and one with identical O2 concentration (21%) but 7.5% CO2 concentration (hypercapnic air) for about 13 minutes each. Starting condition, i.e. first mixture, was pseudorandomized across participants.</p><p>Each condition began with a task-free phase of 90s. Then, self-assessment manikin (SAM) ratings for valence and arousal had to be entered (10s) before the first heat stimulus. SAM ratings were prompted again in the middle of the condition, i.e. during the ninth interstimulus interval, and after rating the last, i.e. 18th stimulus. After the last stimulus, the body sensations questionnaire (BSQ) had to be filled in (60s). After a further 60s of task-free time the air mixture was switched and the entire procedure was repeated for the second condition.</p><p>Instructions for SAM were given before the start of the experiment (see SAM_instructions_final.pdf).</p><p>BSQ was obtained before the experiment as well (see paper version BSQ_new.pdf).</p><p>During inhalation participants received 18 painful heat stimuli of 6s each on three locations on the calf muscle. The stimuli were divided into low (6x), medium (6x), and high (6x). Stimulus temperature was determined based on the individual heat pain tolerance threshold (ToT), corresponding to roughly 95, 96.5, 98% ToT. ToT was determined as a mean of three method of limits beforehand.</p><p>Participants had to rate every stimulus on two scales, one for intensity and one for unpleasantness. The intensity scale ranged from 0 (no sensation) to 200 (maximum tolerable pain) with 100 being the individual pain threshold (HPT). The unpleasantness scale ranged from -100 (extremely unpleasant) to 100 (extremely pleasant) with 0 corresponding to neutral.</p><p>Both scales were presented as horizontal bars with anchors for the lowest, highest, quarter-, and mid-point values. Ratings had to be filled in using a mouse-controlled slider on the two scales displayed on the screen (see Ratings.png). The whole protocol was programmed and displayed with PsychoPy v3.2021.2.3 (Open Science Tools Ltd, Nottingham, UK). The total duration of each condition was approximately 13 minutes (778s).</p><p>During the whole experiment, physiological data was recorded. This included galvanic skin response from the toes (electrodes on biggest and middle toes, in muS), heart rate (three point measurement, in bpm), as well as exhaled O2 and C02 concentration (in %). Heart beat and end-tidal were directly calculated from the registered data during recording and saved with the data.</p><p>The study was funded by the Swiss National Science Foundation as part of a grant to PS (grant number 320030_179191/1).</p>

opencc-by-4.0Oct 2023View details →
dryad40/100

Data used in manuscript, "Context-dependent concordance between physiological divergence and phenotypic selection in sister taxa with contrasting phenology and mating systems"

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publicApr 2022View details →
dryad40/100

Data from: Non-native grazers affect physiological and demographic responses of Greater Sage-grouse

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publicAug 2022View details →
dryad40/100

Data from: Physiological thermal limits predict differential responses of bees to urban heat-island effects

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publicFeb 2023View details →
dryad40/100

Data associated with: Emergence of the physiological effects of elevated CO2 on land-atmosphere exchange of carbon and water

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publicSep 2022View details →
dryad40/100

Data from: Estimating a physiologically-based threshold to oxygen and temperature from marine monitoring data reveals challenges and opportunities for forecasting distribution shifts

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publicNov 2024View details →
dryad40/100

Data from: Physiological mortality rates of planktonic ciliates

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publicJan 2024View details →
dryad40/100

Physiology data for: Biomechanical origins of proprioceptor feature selectivity and topographic maps in the Drosophila leg

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publicAug 2023View details →
dryad40/100

Physiological data and R script for running physiology combined model for Drosophila suzukii

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publicJul 2021View details →
dryad40/100

Data from: Divergent physiological acclimation responses to warming between two co-occurring salamander species and implications for terrestrial survival

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publicApr 2022View details →
dryad40/100

Data from: Biologging in a free-ranging mammal reveals apparent energetic trade-offs among physiological and behavioral components of the acute phase response

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publicOct 2024View 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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Your academic CV and NIH biosketch

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