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11,506 results for “Dynamics”
Dataset for the manuscript: Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy
<p>These are the data files used to generate the figures in the paper: Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy. DOI: 10.1101/2023.06.27.546748</p>
Data from: Multiscale chromatin dynamics and high entropy in plant iPSC ancestors
<p>Plant protoplasts constitute the starting material to induce pluripotent cell masses <em>in vitro</em> competent for tissue regeneration. Dedifferentiation is associated with large-scale chromatin reorganisation and massive transcriptome reprogramming, characterized by stochastic gene expression. How this cellular variability reflects on chromatin organisation in individual cells and what are the factors influencing chromatin transitions during culturing is largely unknown. High-throughput imaging and a custom, supervised image analysis protocol extracting over 100 chromatin features unravelled a rapid, multiscale dynamics of chromatin patterns which trajectory strongly depends on nutrients availability. Decreased abundance in H1 (linker histones) is hallmark of chromatin transitions. We measured a high heterogeneity of chromatin patterns indicating an intrinsic entropy as hallmark of the initial cultures. We further measured an entropy decline over time, and an antagonistic influence by external and intrinsic factors, such as phytohormones and epigenetic modifiers, respectively. Collectively, our study benchmarks an approach to understand the variability and evolution of chromatin patterns underlying plant cell reprogramming <em>in vitro</em>.</p>
1-km high resolution model outputs using the WRF and WRF-Hydro model Raw data from the manuscipt "Process-based Atmosphere-Hydrology-Malaria Modeling: Performance for Spatio-temporal Malaria Transmission Dynamics in Sub-Saharan Africa "
<p>Here we provide the model outputs from the numerical climate model WRF (Weather Research and Forecasting) and its hydrological coupled model WRF-Hydro for the Health and Demographic Surveillance Systems (HDSS) site regions of Nouna in Burkina Faso. Model results are used for investigating the influence of surface hydrology representation, environmental and climate-sensitive driver factors on malaria incidence.<br>The experiments use the following model configuration: 1km horizontal resolution with 200*200 grid points, WSM6 microphysics, ACM2 PBL, and RRTM & Dudhia radiation scheme. WRF uses the Noah LSM, and WRF-Hydro uses the Noah LSM with enhanced lateral hydrological description (https://ral.ucar.edu/projects/wrf_hydro/overview). These simulations were conducted in the Karlsruhe Steinbuch Centre for Computing (SCC) Horeka.</p> <p>Model outputs are provided in daily step (originally derived from the hourly output). Filename with "wrf-hydro_pr_2000-2020_d02-1km.nc" provides Precipitation,<br>n mm/day"wrf-hydro_tas_2000-2020_d02-1km.nc" provides mean temperature in Celsius, "wrf-hydro_tasmax_2000-2020_d02-1km.nc" provides maximum temperature in Celsius, "wrf-hydro_tasmin_2000-2020_d02-1km.nc" provides minmum temperature in Celsius, "wrf-hydro_dtr_2000-2020_d02-1km.nc" provides diurnal temperature ranges in Celius, "wrf-hydro_rh_2000-2020_d02-1km.nc" provides relative humudity in % and "wrf-hydro_sw_2000-2020_d02-1km.nc" provides the surface hydrology.</p>
Figure data for article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity"
<p>The files contain the data depicted in the figures of the article "Controlling the dynamics of atomic correlations via the coupling to a dissipative cavity", Phys. Rev. Lett. <strong>134</strong>, 073604 (2025)</p> <p>The format of the data and to which figure it corresponds is described in the file "read_me_metadata.txt".</p>
Molecular Insights into the Effects of F16L and F19L Substitutions on the Conformation and Aggregation Dynamics of Human Calcitonin
<p><a name="_Hlk145518059"></a><span>Human calcitonin (hCT) regulates calcium-phosphorus metabolism, but its amyloid aggregation disrupts physiological activity, increases thyroid carcinoma risk, and hampers its clinical use for bone-related diseases like osteoporosis and Paget’s disease. Improving hCT with targeted modifications to mitigate amyloid formation while maintaining function holds promise as a strategy. Understanding how each residue in hCT's amyloidogenic core affects its structure and aggregation dynamics is crucial for designing effective analogs. Mutants F16L-hCT and F19L-hCT, where Phe residues in the core are replaced with Leu as in non-amyloidogenic salmon calcitonin, showed different aggregation kinetics. However, the molecular effects of these substitutions in hCT are still unclear. Here, </span><a name="OLE_LINK4"></a><span><span>we systematically investigated the folding and self-assembly conformational dynamics of hCT, F16L-hCT, and F19L-hCT through multiple long-timescale independent atomistic discrete molecular dynamics (DMD) simulations. </span></span><span><span>Our results indicated that the hCT monomer primarily assumed unstructured conformations with dynamic helices around residues 4-12 and 14-21. During self-assembly, the amyloidogenic core of hCT<sub>14-21</sub> converted from dynamic helices to β-sheets. However, substituting F16L did not induce significant conformational changes, as F16L-hCT exhibited similar characteristics to wild-type hCT in both monomeric and oligomeric states. In contrast, F19L-hCT exhibited substantially more helices and fewer β-sheets than hCT, irrespective of their monomers or oligomers. The substitution of F19L significantly enhanced the stability of the helical conformation for hCT<sub>14-21</sub>, thereby suppressing the helix-to-β-sheet conformational conversion. Overall, our findings elucidate the molecular mechanisms underlying hCT aggregation and the effects of F16L and F19L substitutions on the conformational dynamics of hCT, highlighting the critical role of F19 as an important target in the design of amyloid-resistant hCT analogs for future clinical applications.</span></span></p>
Figure 8 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 8. Persephona punctata (Linnaeus, 1758). Time series analysis of the abundance of ovigerous females and A, bottom water temperature, and B, bottom water salinity from July 2012 to June 2014, in Cananéia, São Paulo, Brazil. Lag: time; Corr: correlation value; S.E.: standard error; Conf. Limit: confidence limit.
Figure 5 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 5. Persephona punctata (Linnaeus, 1758). Spatial distribution of ovigerous females (OF), juveniles and reproductive males captured from July 2012 to June 2014, in Cananéia, São Paulo, Brazil.
Figure 1 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 1. Location of the sampling sites in the coastal marine adjacent areas (S1, S2, S3, S4) in Cananéia, São Paulo, Brazil.
Figure 7 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 7. Persephona punctata (Linnaeus, 1758). Percentage of ovigerous females and their gonadal stages: rudimentary (RU); developing (ED) and developed (DE); and the number of juveniles captured monthly from July 2012 to June 2014, in Cananéia, São Paulo, Brazil.
Figure 6 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 6. Persephona punctata (Linnaeus, 1758). Adjustment of the logistic equation indicating the carapace width (CW mm) at which 50% of males and females were mature, according to the analysis of gonadal development.
Figure 4 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 4. Persephona punctata (Linnaeus, 1758). A, Seasonal variation of the proportion of males and females (estimate ± standard error) and B, sex-ratio by size classes from July 2012 to June 2014, in Cananéia, São Paulo, Brazil. Black circles indicate a significant statistical difference from the 1:1 ratio (Binomial test, p <0.05).
Figure 2. A in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 2. A, Monthly variation of mean values of bottom salinity and temperature; B, Mean values and minimum and maximum amplitudes of bottom salinity and temperature per site; C, Seasonal Phi and organic matter content (OM); D, Mean values and minimum and maximum amplitudes of Phi and OM per site. Abiotic factors were recorded from July 2012 to May 2014 in Cananéia, São Paulo, Brazil. (Mean; SD = standard deviation; Min = minimum; Max = maximum).
Data of publication "Simulating the dynamics of large many-body quantum systems with Schrödinger-Feynman techniques"
<p>The development of powerful numerical techniques has drastically improved our understanding of quantum matter out of equilibrium. Inspired by recent progress in the area of noisy intermediate-scale quantum devices, this paper highlights hybrid Schrödinger-Feynman techniques as an innovative approach to efficiently simulate certain aspects of many-body quantum dynamics on classical computers. To this end, we explore the nonequilibrium dynamics of two large subsystems, which interact sporadically in time, but otherwise evolve independently from each other. We consider subsystems with tunable disorder strength, relevant in the context of many-body localization, where one subsystem can act as a bath for the other. Importantly, studying the full interacting system, we observe that signatures of thermalization are enhanced compared to the reference case of having two independent subsystems. Notably, with the here proposed Schrödinger-Feynman method, we are able to simulate the pure-state survival probability in systems significantly larger than accessible by standard sparse-matrix techniques.</p> <div> </div> <div> </div>
Original data for the paper "Ericaceous dwarf shrubs in drained forested peatlands: distribution, dynamics and key factors in a restoration experiment"
Open the record for dataset details and reuse information.
FIGURE 2 in Evidence for dynamic resource partitioning between two sympatric reef shark species within the British Indian Ocean Territory
FIGURE 2 (a) Maximum likelihood standard ellipse areas (, 40% of the data) for isotopes δ13C v. δ15N in fin, (b) muscle, (c) red blood cell, (d) plasma and for isotope δ34S v. δ15C (e) and δ15N (f) of Carcharhinus amblyrhynchos () and Carcharhinus albimarginatus (). Convex hulls () are drawn between the centers of each group. Overlapping values, if present, are the proportion of overlapping area of the two ellipses. Potential competitor–prey teleost data are shown () with associated error bars (± 1 SD). Ellipses for red blood cell and plasma presented for reference but represent small sample sizes (<10) and therefore come with lower confidence
FIGURE 1 in Evidence for dynamic resource partitioning between two sympatric reef shark species within the British Indian Ocean Territory
FIGURE 1 Bayesian isotope mixing models were used to determine the extent that Carcharhinus amblyrhynchos and Carcharhinus albimarginatus were reliant on reef (blue) or pelagic (red) resources. End members were set as the most δ13C depleted (pelagic) and most δ13C enriched (reef) of the teleosts sampled (trevally (Carangidae) for reef, tuna (Scombridae) for pelagic). Posterior probability distributions indicate model predictions of reliance on a given source with higher values indicating greater reliance
Figure 3 in Dynamics of a subtropical population of the purse crab Persephona punctata (Decapoda: Brachyura: Leucosiidae) in Southeastern Brazil
Figure 3. Persephona punctata (Linnaeus, 1758). Size-frequency distribution of juvenile males (JM), juvenile females (JF), adult males (AM), non-ovigerous adult females (AF) and ovigerous females (OF), captured monthly from July 2012 to June 2014, in Cananéia, São Paulo, Brazil.
F I G U R E 5 in Untangling the web: dynamics of Australia s online terrestrial invertebrate trade
F I G U R E 5 (a) Total number of invertebrate listings per State on the classifieds website, (b) classes of invertebrate for sale per State. Note: the Y axes are transformed to display less abundant classes.
F I G U R E 8 in Untangling the web: dynamics of Australia s online terrestrial invertebrate trade
F I G U R E 8 Reconstructed examples of classifieds listings with vague descriptions and poor-quality images.
F I G U R E 6 in Untangling the web: dynamics of Australia s online terrestrial invertebrate trade
F I G U R E 6 (a) Total number of invertebrate listings per State on online pet stores. (b) The classes of invertebrate each listing features. Y axis are log10 transformed to display less abundant classes.
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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.