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11,506 results for “Dynamics”
FIG. 2 in Patch Dynamics Inform Management Decisions in a Threatened Frog Species
FIG. 2. (A) Newly metamorphosed juvenile Crawfish Frogs at Nate's Pond (Hillenbrand Fish and Wildlife Area-West, Greene County, Indiana) exited with no specific directionality in 2009–2011 and 2014. Exiting frogs were captured by pitfall traps (indicated by yellow squares) positioned every 10 m along the drift fence. Sizes of trap squares are proportional to the number of juveniles exiting from each trap. Numbers next to the traps show the proportion of juveniles exiting from that trap, averaged across the years. (B) Post-breeding adult Crawfish Frogs exhibited a strong tendency to exit Nate's Pond towards the southeast, presumably in the direction of their primary burrow (Heemeyer and Lannoo, 2012). A smaller subset of adults exited east; a much smaller subset exited west. Sizes of trap squares are proportional to the ratio of adults versus juveniles exiting from each trap. We included adults that originated from Nate's Pond and were captured in 2013–2016, and excluded those from 2012 (small sample size, n ¼ 14). We included juveniles captured in 2009–2011 and 2014, and excluded years with small sample sizes (2013, n ¼ 8) and no recruitment (2012 and 2015). Scale bar ¼ 50 m.
FIG. 4 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 4. Estimated detection probability from the simple multi-season model fitted with calling data from historical and control sites, based on the relationship between detection and Julian date from the simple multi-season occupancy model. Julian values represent only the values present in our data set and range from 1 March to 30 May (Julian days 60–150).
FIG. 3 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 3. Estimated probabilities of yearly occupancy (y-axis; 6 95% CI) from the historically occupied (orange) and control (blue) sites for the (A) staggered-entry model (SE) and the (B) simple multi-season (SMS) model. Dotted error bars represent years when surveys were not conducted.
FIG. 2 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 2. Estimated probabilities of Arizona Toads entering sites between subsequent surveys (orange), given that they have not previously entered, based on the estimated relationship between entry and Julian date. Estimated probabilities of Arizona Toad departing sites between subsequent surveys (blue), given that they are already present, based on the estimated relationship between departure and Julian date. Yellow points show the probabilities that toads were available to be detected for each day. Julian values range from 1 March to 30 May.
FIG. 1 in Staggered-Entry Analysis of Breeding Phenology and Occupancy Dynamics of Arizona Toads from Historically Occupied Habitats of New Mexico, USA
FIG. 1. Study area in southwestern New Mexico showing historically occupied (n ¼ 86; red circles) and control (n ¼ 59; blue triangles) waterbodies sampled during the 2013–2016 and 2019 breeding seasons for the Arizona Toads (Anaxyrus microscaphus). Filled shapes represent sites where we detected toads at least once, and open shapes represent sites where we never detected toads. Basemap by Stamen Design, under CC BY 3.0.
Nanoscale probing of the organic binder in artists' paint layers: organic phases and chemical dynamics - Dataset
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Dynamics, synchronization and analog circuit implementation of a discrete neuron-like map with pulsating spiral dynamics
<p>These are experimental time series for an electronic model of neural dynamics. They are provided to support the replication of the results reported in the associated publication, as well as any further public-domain academic research in the field of neural dynamics, nonlinear electronic circuits, and related aspects, in compliance with the specified license terms and all applicable legal clauses.</p> <p>The following reference must be cited when using these data:</p> <div> <div> <div>Zhu W, Sun K, Wang H, Fu L, Minati L, Dynamics, synchronization and analog circuit implementation of a discrete neuron-like map with pulsating spiral dynamics, Chaos, Solitons and Fractals 186 (2024) 115281, DOI 10.1016/j.chaos.2024.115281</div> </div> </div> <p>This document is the results of the research project funded by the National Natural Science Foundation of China (Nos. 62071496, 62061008), and the Innovation Project of Graduate of Central South University (Nos. 2024ZZTS0241). L.M. gratefully acknowledges the support of the "Hundred Talents" program of the University of Electronic Science and Technology of China, of the "Outstanding Young Talents Program (Overseas)" program of the National Natural Science Foundation of China, and of the talent programs of the Sichuan province and Chengdu municipality.</p>
Data for Coevolution and temporal dynamics of species interactions shape species coexistence
<p>This dataset is the one used in our preprint "<a href="https://doi.org/10.1101/2024.08.08.607160">Coevolution and temporal dynamics of species interactions shape species coexistence</a>".</p> <p>R codes to analyse these data can be found here: <a href="https://github.com/f-duchenne/Evolution_pheno_vs_morpho">https://github.com/f-duchenne/Evolution_pheno_vs_morpho</a></p> <p><em>flow_pheno_empirical.csv</em> and <em>poll_pheno_empirical.csv</em> contain the empirical phenological parameters for plant and pollinator species, respectively: the mean activity day (mu) and its standard deviation (sde) representing the duration of the activity period.</p> <p><em>matrices_empirical_networks.RData</em> contains an R object with the 17 networks used. Plants are in rows and pollinators in columns, with each cell representing the average interaction value across sampling rounds, corrected by abundances.</p> <p>You can access it in R via:</p> <div> <pre><code>#load data load("matrices_empirical_networks.RData") #see the structure (a list of 17 networks) str(networks) #access the first network networks[[1]]</code></pre> <pre> </pre> </div>
Quantifying social contact dynamics in South Korea for infectious disease transmission
<p>Social contact data from a self-reportred survey conducted in South Korea. The survey was conducted from July to september 2023. </p>
Investigating the effect of lithosphere thickness and viscosity on mantle dynamics throughout the supercontinent cycle.
<p>Parameter files, compiled executables, paraview files and netcdf files for each simulation associated with the manuscript - Investigating the effect of lithosphere thickness and viscosity on mantle dynamics throughout the supercontinent cycle (DOI: 10.1029/2024GC011688)</p>
Molecular dynamics simulation data of the manuscript "KnowVolution of an efficient polyamidase through molecular dynamics simulations of incrementally docked oligomeric substrates"
<p>This repository provides the simulation data as well as the input and parameters files to reproduce our findings.</p> <p><strong>Acknowledgments</strong></p> <p>The authors gratefully acknowledge the computing time provided by RWTH Aachen University. Computations were performed with computing resources granted by RWTH Aachen University under project rwth1584.</p>
QAVA-DPC: Eye-Tracking Based Quality Assessment and Visual Attention Dataset for Dynamic Point Cloud in 6 DoF
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Restart uncertainty relation for monitored quantum dynamics. DataSet
<p>Source Data Set for the publication entitled: Restart uncertainty relation for monitored quantum dynamics.</p>
[Simulation] Dynamics, Monitoring and Forecasting of Tephra in the Atmosphere.
<p><span><span>This repository </span><span>contains</span><span> the simulations</span><span> to produce Figures 1</span><span>5</span><span> and 1</span><span>7</span><span> in " </span><span>Dynamics, Monitoring and Forecasting of Tephra in the Atmosphere</span><span> " - Reviews of Geophysics, by </span></span><span><span>Pardini</span> </span><span><span>et al. (2024).</span></span><span> </span></p>
Variability of Earth's ionospheric outflow in response to the dynamic terrestrial exosphere - dataset and plotting script
<p>This dataset contains all the information discussed and displayed in the paper titled "Variability of Earth's ionospheric outflow in response to the dynamic terrestrial exosphere". The attached Jupyter notebook contains the necessary software to produce the same plots that were used to conduct the analysis.</p>
Disordered region of human eIF4B orchestrates a dynamic balance across self-association landscape
<p>Trajectory files to visualize the simulations of coarse-grained eIF4B. </p>
Movies for "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice"
<p>This upload includes movies corresponding to Figures 4 and 5 of the paper "Lissajous dynamics of a quantum particle in a tilted two-dimensional discrete lattice", <a href="https://arxiv.org/abs/2409.02268" target="_blank" rel="noopener">arXiv:2409.02268</a>. </p>
Quantifying 3D time-resolved kinematics and kinetics during rapid granular compaction, Part II: dynamics of heterogeneous pore collapse
<p>Dataset containing the raw X ray CT data, experimental XPCI images and input files for Abaqus simulations for the article titled ' Quantifying 3D time-resolved kinematics and kinetics during rapid granular compaction, Part II: dynamics of heterogenous pore collapse' . </p>
Supplements for dynamically triggered events in the Caucasian Region
<p>the repository contains seismic data and related products (Table S1 and S2) used in studying dynamically triggered events in Caucasian Region. </p>
Figure data for "Machine Learning For Early Dynamic Prediction Of Functional Outcome After Stroke"
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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.