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512 results for “Activity pattern”
Dataset for "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns"
<p>This archive contains the source code and data sets presented in the publication "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns".</p> <p>Kabus, D., De Coster, T., de Vries, A. A., Pijnappels, D. A., & Dierckx, H. (2024). Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns. <em>Computers in Biology and Medicine</em>, 107949. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.compbiomed.2024.107949" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.compbiomed.2024.107949</span></a></p>
Data for "Diversity of Non-Equilibrium Patterns and Emergence of Activity in Confined Electrohydrodynamically Driven Liquids"
<p>Raw data (microscopy videos and image sequences) and scripts used for the analysis for the publication "Diversity of Non-Equilibrium Patterns and Emergence of Activity in Confined Electrohydrodynamically Driven Liquids", Science Advances 7 (38), eabh1642</p>
Fruit-feeding butterfly community data analysed in "Recovery patterns in community composition of fruit-feeding butterflies following 26 years of active forest restoration"
<p>Community data of fruit-feeding butterflies collected from Kibale National Park, Uganda, in the periods 2011-2012 and 2020-2021 analysed in our paper Korkiatupa et al. 2023: "Recovery patterns in community composition of fruit-feeding butterflies following 26 years of active forest restoration" (<em>Ecosphere</em> <span>14</span>(<span>5</span>): e4514. <a href="https://doi.org/10.1002/ecs2.4514">https://doi.org/10.1002/ecs2.4514</a>).</p> <p>The table consists of two parts. First part shows counts of individuals of butterfly species in each study site. Second part shows the metadata: code of studysite, census (2011-2012/2020-2021), planting year (planting year or "Primary forest"), and coordinates (WGS 84 coordinate system).</p>
Figure 2 in Activity and reproductive patterns of lizards in the Chaco of Argentina
Figure 2. Number of lizards captured during the study. Abbreviations: Tt: Teius teyou, Sd: Stenocercus doellojuradoi, Te: Tropidurus etheridgei, Lch: Liolaemus chacoensis, Hf: Homonota fasciata, Lp: Leiosaurus paronae, Vr: Vanzosaura rubricauda, Tr: Tupinambis rufescens, Md: Mabuya dorsivittata, Cs: Cnemidophorus serranus, Lsp: Liolaemus sp.
Figure 4 in Year-round activity patterns in a hyperdiverse community of rainforest amphibians in Madagascar
Figure 4. Canonical correspondence biplot relating amphibian species abundance along the study transect and five environmental predictors (italics, labelled as in Figure 3). Circles identify the sampling units (days) and crosses identify species. Species occurring more frequently at extreme environmental conditions are labelled using the codes presented in Table 1.
Daily Activity and Nest Occupation Patterns of Fox Squirrels (Sciurus niger) Throughout the Year
<p>The daily distribution of activity has been studied in detail in ground squirrels in the field as well as in the laboratory, but studies of tree squirrels have been few and generally limited to the sampling of behavior of groups of animals. In this study, the authors investigated the general activity and nest occupation patterns of fox squirrels in a natural setting using temperature-sensitive data loggers that measure activity as changes in the microenvironment of the animal. Data were obtained from 25 distinct preparations, upon 13 unique squirrels, totaling 1385 recording days. Fox squirrels exhibited robust daily rhythmicity of locomotor activity, comparable to that of laboratory rats and gerbils. The animals were clearly diurnal, with a predominantly unimodal activity pattern, although individual squirrels occasionally exhibited bimodal patterns, particularly in the spring and summer. Even during the short days of winter (9 hours), the squirrels typically left the nest after dawn and returned before dusk, spending only about 7 hours out of the nest each day. Although the duration of the daily active phase did not change with the seasons, the squirrels exited the nest earlier in the day when the days became longer in the summer and exited the nest later in the day when the days became shorter in the winter, thus tracking dawn along the seasons. During the few hours each day spent outside the nest, fox squirrels seemed to spend most of the time sitting or lying. These findings suggest that fox squirrels may have adopted a slow life history strategy.</p>
Fig. 5 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 5. Mean Relative Abundance Indice (± SEM) for 12 most frequently encountered mammal species in PPWS at camera trap locations closer (black bars) and further (open bars) than 11-km from nearest village. RM red muntjac; EWP Eurasian wild pig; B banteng; E Asian elephant; LIC large Indian civet; EAP east Asian porcupine; L leopard; CPC common palm civet; D dhole; LC leopard cat; G gaur; and PTM pig-tailed macaque.
Fig. 4 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 4. Mean Relative Abundance Indices (± SEM) for 12 most frequently encountered mammal species in PPWS at camera trap locations in DDF (black bars) and SEGF (open bars). RM red muntjac; EWP Eurasian wild pig; B banteng; E Asian elephant; LIC large Indian civet; EAP east Asian porcupine; L leopard; CPC common palm civet; D dhole; LC leopard cat; G gaur; and PTM pig-tailed macaque.
Fig.6 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig.6. Activity patterns, % of all encounters within each hour, of red muntjacs and Eurasian wild pigs from camera-traps in PPWS.
Fig. 2 in Habitat Preferences And Activity Patterns Of The Larger Mammal Community In Phnom Prich Wildlife Sanctuary, Cambodia
Fig. 2. Increase in species richness (species recorded) with total cumulative number of camera trap nights within Phnom Prich Wildlife Sanctuary (Dec 08–Aug 09).
Supplemental Movie 5: Pattern of slow wave activation in intact stomach as viewed by imaging of Ca2+ transients in ICC-MY.
<p><strong><span>Supplemental Movie 5:<span> </span>P</span>attern of slow wave activation in intact stomach as viewed by imaging of Ca<sup>2+</sup> transients in ICC-MY<span> </span></strong><span>Ca</span><sup><span>2+</span></sup> transients were monitored in canulated whole stomachs taken from mice expressing GCaMP3 exclusively in ICC (upper left panel). The whole stomach from fundus through the pylorus is visualized in the FOV.<span> </span>Right panel shows differentiated image in which background (unchanged pixels) remains black and active pixels (ICC) are intensity-coded to white.<span> </span>Activation of <span>Ca</span><sup><span>2+</span></sup> waves (which activate currents in ICC-MY and generate slow waves in gastric muscles) develop into a spiral pattern of activation from a dominant pacemaker region near the greater curvature of the corpus.<span> </span><span>Ca</span><sup><span>2+</span></sup> transients in the whole stomach <span>are plotted as a spatio-temporal map, displaying proximal to distal propagation of Ca</span><sup><span>2+</span></sup><span><span> waves</span></span><span> along the length of the stomach (lower panel). (Provided by Dr. Grant Henning)</span></p>
Supplementary Material for "To Do or Not to Do: Semantics and Patterns for Do Activities in UML PSSM State Machines"
<p>This dataset provides artifacts about the semantics of doActivity in the Precise Semantics of UML State Machines (PSSM) specification. It collects:</p> <ul> <li>execution traces and screenshots from two simulators (Cameo, Papyrus Moka),</li> <li>analysis about doActivity features present in PSSM test suite, focusing on concurrency,</li> <li>collection of state machine models and doActivity patterns used in the Thirty Meter Telescope (TMT) SysML model.</li> </ul> <p>Find the related paper at <a href="https://arxiv.org/abs/2309.14884" target="_blank" rel="noopener">arXiv:2309.14884</a>.</p>
Fig. 4 in Daily and seasonal activity patterns of a felid assemblage in a forest-grassland mosaic in southern Brazil
Fig. 4. Overlap of daily activities between the pairs of the four felid species found in the Papagaios-de-Altitude Private Protected Area in Urupema, Santa Catarina, southern Brazil. The area colored in gray indicates the overlapping of daily activity in each species pair. The parallel lines in each graph indicate the mean time of sunrise (yellow) and sunset (blue) in the study region. Below each graph is the coefficient of overlap for each pair of species, and the confidence interval.
Fig. 3 in Daily and seasonal activity patterns of a felid assemblage in a forest-grassland mosaic in southern Brazil
Fig. 3. Circular histograms with distribution and frequency of the seasonal activity of Leopardus guttulus, L. pardalis, L. wiedii and Puma concolor in Papagaios-de-Altitude Private Protected Area, Santa Catarina, Brazil. The arrows on each graph indicate the direction of the mean angle (µ). Each graph also exhibits the values of P and mean vector length (r).
Fig. 2 in Daily and seasonal activity patterns of a felid assemblage in a forest-grassland mosaic in southern Brazil
Fig. 2. Circular histograms with distribution and frequency of daily activity of Leopardus guttulus, L. pardalis, L. wiedii and Puma concolor in Papagaiosde-Altitude Private Protected Area, Santa Catarina, Brazil. The black arrows on each graph indicate the direction of the mean angle (µ). Each graph also exhibits the values of P and mean vector length (r).
Fig. 1 in Daily and seasonal activity patterns of a felid assemblage in a forest-grassland mosaic in southern Brazil
Fig. 1. Study area: Papagaios-de-Altitude Private Protected Area in Urupema, Santa Catarina, Brazil. On the top-right panel, colors indicate the type of soil-use in the area and its limits. The black dots in the map indicate the location of the camera traps.
Fig. 3 in Daily activity patterns and occurrence of Leopardus guttulus (Carnivora, Felidae) in Lami Biological Reserve, southern Brazil
Fig. 3. Temporal overlap of Leopardus guttulus (Hensel, 1872) activity during the different seasons: autumn/winter and spring/summer; the gray area represents the overlap between the activity observed in the two periods of the year and the vertical lines represent sunrise and sunset in each period (autumn/winter: 06h 45min sunrise and 18h 05min sunset; spring/summer: 06h 08min sunrise and 19h 33min sunset).
Fig. 4 in Daily activity patterns and occurrence of Leopardus guttulus (Carnivora, Felidae) in Lami Biological Reserve, southern Brazil
Fig. 4. Circular graph showing the distribution of Leopardus guttulus (Hensel, 1872) records in BRLJL, Rio Grande do Sul, Brazil, throughout the 12 months sampled. The black lines represent the concentration of records.
Fig. 2 in Daily activity patterns and occurrence of Leopardus guttulus (Carnivora, Felidae) in Lami Biological Reserve, southern Brazil
Fig. 2. Circular graphs showing the daily activity of Leopardus guttulus (Hensel, 1872) at the BRLJL, Rio Grande do Sul, Brazil, based on all records obtained for the species (n=25, all seasons), on records obtained during spring/summer (n=15), and on records from autumn/winter (n=10). The arrow on each circular graphs indicates the direction of the angular mean.
Fig. 1 in Daily activity patterns and occurrence of Leopardus guttulus (Carnivora, Felidae) in Lami Biological Reserve, southern Brazil
Fig. 1. Location of the study area in South America and the State of Rio Grande do Sul (left panel), with the indication of the geographic range of Leopardus guttulus (Hensel, 1872) (grey area) in Brazil, Paraguay and Argentina (above), and the Biological Reserve Lami JosÉ Lutzenberger – BRLJL in the municipality of Porto Alegre, Rio Grande do Sul, Brazil (below). On the right panel, a detailed map of the study area showing the limits of the BRLJL (black line), the vegetation types occurring in the area, the grid sQuares of 1 x 1 km (grey lines) designed to delimitate the zones where sampling stations (camera stations) were installed (black triangles).
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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)
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DANDI Archive for NWB datasets
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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.