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68 results for “Trajectory modeling”
Trajectory and input files for "Coating of magnetic nanoparticles affects their interactions with model cell membranes"
<p>Input and output files, including trajectories, for the study published in BBA - General Subjects :</p> <p>"Coating of magnetic nanoparticles affects their interactions with model cell membranes"</p> <p>https://doi.org/10.1016/j.bbagen.2020.129671</p>
Modeled trajectories of the Mediterranean squamates
<p>Mediterranean islands have a high diversity of squamates, although they are unevenly distributed. This variability in the composition of the reptile assemblages across islands may have been influenced by differences in the colonization abilities of these species. To evaluate the dispersal capacities of squamate species, we modeled their sea routes using cost surface models. We estimated the effects of some life-history traits and the phylogenetic signal in the characteristics of the modeled dispersal paths. We hypothesized that a significant phylogenetic signal should be present if the dispersal ability is enhanced by traits shared among evolutionarily related species. The results showed that no phylogenetic signal was present in the characteristics of the dispersal paths (i.e., in the distance traveled/bypassed sea depth). Thus, no superior island-colonizer lineages were detected in Mediterranean Squamata. However, our analyses also revealed that small-sized lizards were superior to other groups of squamates at dispersing over long distances on the sea.Mediterranean islands have a high diversity of squamates, although they are unevenly distributed. This variability in the composition of the reptile assemblages across islands may have been influenced by differences in the colonization abilities of these species. To evaluate the dispersal capacities of squamate species, we modeled their sea routes using cost surface models. We estimated the effects of some life-history traits and the phylogenetic signal in the characteristics of the modeled dispersal paths. We hypothesized that a significant phylogenetic signal should be present if the dispersal ability is enhanced by traits shared among evolutionarily related species. The results showed that no phylogenetic signal was present in the characteristics of the dispersal paths (i.e., in the distance traveled/bypassed sea depth). Thus, no superior island-colonizer lineages were detected in Mediterranean Squamata. However, our analyses also revealed that small-sized lizards were superior to other groups of squamates at dispersing over long distances on the sea.</p>
Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories"
<p>Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1)" by Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel and Rüdiger Westermann.</p>
Fossil-informed models reveal a Boreotropical origin and divergent evolutionary trajectories in the walnut family (Juglandaceae)
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Modeled trajectories of the Mediterranean squamates
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CARVE: L4 Gridded Particle Trajectories for WRF-STILT model, 2012-2016
This data set provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) model inputs for particle receptors located at positions along Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) flight paths (2012 - 2015) and various meteorological stations in Alaska and the Canadian Arctic. Each product consists of multiple NetCDF files packaged as a TAR/GZIP file. These data correspond to WRF-STILT model footprint data also generated by the CARVE science team.
SAFARI 2000 Modeled Tropospheric Air Mass Trajectories, Dry Season 2000
The ETA Forecast Trajectory Model was used to produce forecasts of air-parcel trajectories twice a day at three pressure levels over seven sites in Southern Africa for the period August 14, 2000 to September 23, 2000. These sites are Durban, Middleburg, Pietersburg, and Springbok, South Africa; Maun, Botswana; Mongu, Zambia; and Windhoek, Namibia. The twice daily three-dimensional wind field (at 0000 and 1200 UTC) was used as input to the trajectory model. By integrating the vertical motion of the air parcels over a period of time, the trajectory model was able to forecast the net vertical displacement of air parcels during 12-hour periods. The resulting trajectory plots represent the three-dimensional transport of air in time and can be used to examine what is happening in the low-to-mid troposphere during flight and ground-based observations. These levels are most significant in terms of the thermodynamic structure of the troposphere, especially the stable layers and accumulation of material between and below them, as well containing the major levels of subsidence over the subcontinent. The trajectory model output and thermodynamic profiles of the troposphere were used to position aircraft for sampling trace gases, aerosols and other species during the SAFARI 2000 field campaign and to predict regions of high aerosol and trace gas concentrations downwind.The model output data are daily forward and backward trajectory plots at 850 hPa, 700 hPa, and 500 hPa pressure levels for each location. The plots are provided as JPEG images with coordinate, date, and time stamps.
Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011
This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm --- CO2; ppb --- CH4) per (umol m-2 s-1 --- CO2; nmol m-2 s-1 --- CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function.
An engineered tumor organoid model reveals cellular identity and signaling trajectories underlying translocation RCC
GEO Series GSE260633. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Trajectory modeling of first trimester placenta highlight differences between cytotrophoblast progenitors and trophoblast stem cells [scRNA-Seq 2]
GEO Series GSE298474. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Single cell trajectory modeling identifies a primitive trophoblast state defined by BCAM enrichment
GEO Series GSE174481. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.
Deep dynamical modelling of developmental trajectories with temporal transcriptomics [BACKGROUND_DATA]
GEO Series GSE236508. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Physiologically-relevant Bisphenol A levels alter the developmental trajectory of an in vitro model of mouse Primordial Germ Cells
GEO Series GSE157570. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.
Trajectory modeling of first trimester placenta highlight differences between cytotrophoblast progenitors and trophoblast stem cells
GEO Series GSE270174. Homo sapiens. 50 samples. Type: Expression profiling by high throughput sequencing; Other.
Trajectories of partial and full EMT of mammary tumor cells in the MMTV-PyMT mouse model
GEO Series GSE171940. Mus musculus. 504 samples. Type: Expression profiling by high throughput sequencing.
Deep dynamical modelling of developmental trajectories with temporal transcriptomics
GEO Series GSE236520. Mus musculus; Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
Machine Learning-based Longitudinal Study of Post-ICU Syndrome Development Trajectory in Critically Ill Patients and Construction of Clinical Early Warning Models: a Research Protocol for Longitudinal
ClinicalTrials.gov study NCT06427265. IPD Sharing: NO. Countries: 1. Publications: 0.
Trajectory-Based Prognostic Modeling in Hepatocellular Carcinoma
ClinicalTrials.gov study NCT07204262. IPD Sharing: NO. Countries: 1. Publications: 0.
Predicting Symptom Trajectories After Thoracoscopic Lung Cancer Surgery Using an Interpretable Machine Learning Model
ClinicalTrials.gov study NCT06771947. IPD Sharing: Not stated. Countries: 1. Publications: 0.
CLL loss-of-function lesions distinctly impact B cell developmental and survival trajectories in B-cell restricted mouse models
GEO Series GSE197061. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
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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.