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40 results for “EDA”
FIGURE 4 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 4. Linear regression of MAP on correspondence axis 1 (CA1) score; estimated MAP for each of fossil locality based on CA1 score is indicated. Abbreviations: LV, La Venta; QH, Quebrada Honda; RU, Rümikon; SC, Santa Cruz; TG, Tinguiririca.
FIGURE 6. Classification Tree results and predictions for the five fossil localities. A in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 6. Classification Tree results and predictions for the five fossil localities. A) Results and predictions for CT1, vegetative cover. B) Results and predictions for CT2, biogeographic realm. Abbreviations: LV, La Venta; QH, Quebrada Honda; RU, Rümikon; SC, Santa Cruz; TG, Tinguiririca.
FIGURE 3 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 3. Axes three and four of the correspondence analysis. A) Positions of the fossil localities and 179 modern ecoregions; B) Positions of the 22 variables. Note that the scale is not the same in the two graphs.
FIGURE 2 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 2. Axes one and two of the correspondence analysis. A) Positions of the fossil localities and 179 modern ecoregions; B) Positions of the 22 variables. Note that the scale is not the same in the two graphs.
FIGURE 1 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 1. Locations of the 179 modern ecoregions (colored areas) and the five fossil localities (stars) used in this study. Ecoregions are overlain on a grayscale global mean annual precipitation (MAP) map derived from Fick and Hijmans (2017), with lighter regions indicating areas of higher MAP and darker regions indicating areas of lower MAP. Abbreviations: LV, La Venta, Colombia; QH, Quebrada Honda, Bolivia; RU, Rümikon, Switzerland; SC, Santa Cruz, Argentina; TG, Tinguiririca, Chile.
FIGURE 7 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 7. Classification Tree results for CT3, biome. Abbreviations: LV, La Venta; QH, Quebrada Honda; RU, Rümikon; SC, Santa Cruz; TG, Tinguiririca.
FIGURE 5 in What are the best modern analogs for ancient South American mammal communities? Evidence from ecological diversity analysis (EDA)
FIGURE 5. Composite hierarchical cluster analysis with the positions of the five fossil localities (dagger symbols) indicated. Solid black lines indicate the results when all five fossil localities are included in the analysis; dashed black lines indicate the results when each fossil locality is analyzed individually. The position of Rümikon did not vary in the two analysis. Abbreviations: LV, La Venta; QH, Quebrada Honda; RU, Rümikon; SC, Santa Cruz; TG, Tinguiririca.
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>
Scripts and sample information for: Molecular mechanisms of Eda-mediated adaptation to freshwater in threespine stickleback
<p><span>A main goal of evolutionary biology is to understand the genetic basis of adaptive evolution. Although the genes that underlie some adaptive phenotypes are now known, the molecular pathways and regulatory mechanisms mediating the phenotypic effects of those genes often remain a black box. Unveiling this black box is necessary to fully understand the genetic basis of adaptive phenotypes, and to understand why particular genes might be used during phenotypic evolution. Here, we investigated which genes and regulatory mechanisms are mediating the phenotypic effects of the <em>Eda</em> haplotype, a locus responsible for the loss of lateral plates and changes in the sensory lateral line of freshwater threespine stickleback (<em>Gasterosteus aculeatus</em>) populations. Using a combination of RNAseq and a cross design that isolated the Eda haplotype on a fixed genomic background, we found that the Eda haplotype affects both gene expression and alternative splicing of genes related to bone development, neuronal development and immunity. These include genes in conserved pathways, like the BMP, netrin and bradykinin signalling pathways, known to play a role in these biological processes. Furthermore, we found that differentially expressed and differentially spliced genes had different levels of connectivity and expression, suggesting that these factors might influence which regulatory mechanisms are used during phenotypic evolution. Taken together, these results provide a better understanding of the mechanisms mediating the effects of an important adaptive locus in stickleback and suggest that alternative splicing could be an important regulatory mechanism mediating adaptive phenotypes.</span></p>
Scripts and sample information for: Molecular mechanisms of Eda-mediated adaptation to freshwater in threespine stickleback
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Data from: Predator life history and prey ontogeny limit natural selection on the major armour gene, Eda, in threespine stickleback
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Estimating Orchestration Load in Collaborative Learning Situations Using EDA - Activity 6
<p>Skin conductivity of the teacher while orchestrating a Pyramid activity. The green highlight indicates an SCR concurred with the teacher report: "When students told me that after increasing time in the "improving phase" they could not continue editing their improved answer.".</p>
Estimating Orchestration Load in Collaborative Learning Situations Using EDA - Activity 2
<p>Skin conductivity of the teacher while orchestrating a Pyramid activity. During this activity, the teacher reported: "I noticed that the scenario for the task that I shared with student was not the one I planned (I have several ... and was confused with the one I picked) so I had to read the scenario as well .. while students where completing the Pyramid activity. In any case I know all scenarios very well and was quick for me to remember it.".</p>
Estimating Orchestration Load in Collaborative Learning Situations Using EDA - Activity 3
<p>Skin conductivity of the teacher while orchestrating a Pyramid activity. The teacher did not report any stressful situation during this activity.</p>
Estimating Orchestration Load in Collaborative Learning Situations Using EDA - Activity 1
<p>Skin conductivity of the teacher while orchestrating a Pyramid activity. The green highlight indicates an SCR concurred with the teacher report: "I was running out of time, and needed to reduce time in the XXX activity. However I'm used to this kind of situations, and was not highly stressed."</p>
eda_plugin example data
<p>Example data for the eda_plugin python package</p> <p>https://github.com/wl-stepp/eda_plugin</p>
EDA for Cancer Biologists
<p>Few selective datafiles from opensource METABRIC data uploaded here for the convenience of participants of an EDA workshop with R.</p>
Epidural Analgesia (EDA) Versus Patient Controlled Analgesia (PCA) in Laparoscopic Colon Surgery
ClinicalTrials.gov study NCT00508300. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Selective electrocatalytic CO2 to methane and acetate on Cu3N-NaN3-EDA nanoparticles
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The EDA receptor (EDAR) is a candidate gene for lateral plate number variation in stickleback fish
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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.
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.