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285 results for “evolution models”
Gene expression profile at single cell level of genetically defined organoid models in neoplastic evolution of head and heck squamous cell carcinoma
GEO Series GSE286449. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Supplementary Movies for Pérez-Gussinyé et al. (2023) Synrift and postrift thermal evolution of rifted margins: a re-evaluation of classic models of extension Accepted in GSL Special Publications
<p>Movie S1. Evolution of deformation for the three models shown in Figures 2 and 3. Full extension rate is 10 mm/yr. Sedimentation rate is given in Figures 2 and 3 and Methods (see also Table 1). Red shading shows brittle strain rate, blue shading shows ductile strain rate. The sediments are color coded with age since the start of rifting. The color circles are trackers. The color conventions for the phases are the same as in Figures 1 and 2.</p><p> </p><p>Movie S2. Top: Thermal evolution of the 10 mm/yr full rifting velocity model without sedimentation along with markers (model shown in Figures 2a-e and 3a-c). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. Bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p>Movie S3. Top: Thermal evolution of the10 mm/yr full rifting velocity model with average sedimentation along with markers (model shown in Figures 2f-j and 3d-g). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. Bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p>Movie S4. Top: Thermal evolution of the 10 mm/yr full rifting velocity model </p><p>with largest sedimentation along with markers (model shown in Figures 2k-o and 3h-k). Grey shading indicates strain rate. Note the development of small scale convection cells. Middle: Evolution of the basement heat flow of markers shown in top panel. bottom: Evolution of the basement temperature at markers shown in top panel. Note that the horizontal and vertical scale change in the postrift to better show the small scale convection in the top panel.</p><p> </p><p> </p><p>Movie S5. Evolution of temperature field for the 10 mm/yr full rifting velocity without sedimentation, (model shown in Figures 2a-e and 3a-c). b) and c) show the geotherms of trackers shown in a) computed from the dynamic model (solid colored lines), and from the ´1-D temperature´ solution (dashed colored lines). The black curve shows the initial geotherm used for the dynamic temperature and for the ´1-D temperature´ calculations. Grey shading indicates strain rate. Note that the horizontal scale is changing to show the rifted margins as the model evolves.</p><p> </p><p>Movie S6. Evolution of temperature field for the 100 mm/yr full rifting model without sedimentation, (model shown in Figures 2a-e and 3a-c). b) and c) show the geotherms of trackers shown in a) computed from the dynamic model (solid colored lines), and from the ´1-D temperature´ solution (dashed colored lines). The black curve shows the initial geotherm used for the dynamic temperature and for the ´1-D temperature´ calculations. Grey shading indicates strain rate. Note that the horizontal scale is changing to show the rifted margins as the model evolves.</p>
Evaluating models for olfactory signaling gene evolution in baleen whales
<div> <p>Contains DNA sequences and alignments for eight chemosensory genes from baleen and toothed whales. Also includes PAML results and input files for assessment of selective pressures on various branch models.</p> </div>
Data set for "Accretion cycles, structural evolution, and thrust activity in accretionary wedges with various décollement configurations: Insights from sandbox analog modeling"
<p>This data set is associated with the paper, ``Accretion cycles, structural evolution, and thrust activity in accretionary wedges with various décollement configurations: Insights from sandbox analog modeling'' by Atsushi Noda, Fabien Graveleau, Cesar Witt, Frank Chanier, and Bruno Vendeville. It is currently available on doi:PREPRINT and to be submitted to the Journal of Geophysical Research, Solid Earth. When citing this data release, please cite as well the paper.</p> <p>Contact: Atsushi Noda, a.noda@aist.go.jp</p> <p>The provided zip file contains the data below.</p> <p>DIC ---- image: Photo images used for DIC analysis<br> |<br> |-- ROI: Image files of "Region of interest" for DIC analysis<br> |<br> |-- matdata: MATLAB data files produced by Ncorr DIC analysis<br> |<br> |-- plot: Plots produced from the MATLAB data files<br> |<br> |-- movie: Images of plots of DIC analysis<br> |<br> |-- data: Output data generated by python scripts</p> <p>figure ---- Output pdf files produced by python scripts</p> <p>Geometry ---- plot: plots for geometrical parameters<br> |<br> |-- qgis: geometrical data files (shapefile format)</p> <p>RAW ---- image: RAW photo images for all models<br> |<br> |-- movies: Images of photos for all models</p> <p>script ---- ncorr_plot_eng.py: To plot the kinematic parameters from MATLAB data file<br> |<br> |-- ncorr_plot_all.py: To plot summary diagrams for the kinematic parameters<br> |<br> |-- envelope.py: To plot theoretical taper angles<br> |<br> |-- comp_wux.py: To calculate and plot strain ratios<br> |<br> |-- plot_param.py: To plot geometrical parameters<br> |<br> |-- calc_strength.py: To calculate and plot the wedge/detachment strengths <br> </p>
River network characteristic parameters data and landscape evolution model code
<p>This archive comprises two files utilized in the research conducted by Meng et al. The first file contains the code (.m) for simulating geomorphic evolution, while the second file contains the data (total.xlsx) for three measurements. Specifically, the code enables the rapid iteration of steady-state terrain elevation data for various initial slopes (%) and net rainfall intensities (mm/year). The river networks vector data is generated by the hydrological analysis tool, based on the aforementioned elevation data. The river networks characteristic parameters data (total.xlsx) can be derived by calculating the vector data with ArcMap software. These parameters include drainage area increments along mainstreams, stream course irregularity, and tributary junction angles.</p>
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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.