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252 results for “Variability Modelling”
Evaluation of Physiological Variables and Detection of Blood Loss Using the Zynex Fluid Monitoring System, Model CM-1600
ClinicalTrials.gov study NCT05463198. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Allometric convergence in savanna trees and implications for plant scaling models in variable ecosystems
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Data from: Bioclimatic variables derived from remote sensing: assessment and application for species distribution modeling
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Interspecific trait variability and local soil conditions modulate grassland model community responses to climate
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Data from: Modelling the co-evolution of indirect genetic effects and inherited variability
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Data from: Correlative changes in life history variables in response to environmental change in a model organism
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Performance results from species distribution models considering historical occurrences and variables of varying persistency
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Data from: A prediction model of compressor with variable geometry diffuser based on elliptic equation and Partial Least Squares
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Data from: Predicting the genetic impact of stocking in Brook Charr (Salvelinus fontinalis) by combining RAD sequencing and modeling of explanatory variables
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Skabbholmen data from: Concurrent ordination: Simultaneous unconstrained and constrained latent variable modeling
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Selected modeled output variables from ROMS 4DVAR model fits for the P1706 and P1604 CCE-LTER process cruises
Values for Kz and w were extracted from a three-dimensional physical model (9 km horizontal resolution, 42 vertical layers) developed using the Regional Ocean Modeling System (ROMS) four-dimensional variational data assimilation system (4DVAR) (Moore et al., 2011), then depth-interpolated linearly to calculate values at the MLD. Initial and boundary conditions were taken from the California Current System Reanalysis product produced by the University of California, Santa Cruz. Surface forcing was taken from the 9-km resolution Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) (Doyle, Jiang, Chao, & Farrara, 2009; Hodur, 1997). We assimilated satellite remote sensing products (sea surface height from Ssalto/Duacs and sea surface temperature from AVHRR) and in situ temperature and salinity data vertical profiles collected during CTD measurements on our cruise. Assimilated data were used to update model initial conditions and surface forcing to generate a dynamically-consistent month-long model fit covering the duration of each cruise and producing 8-hr averaged outputs. For detailed descriptions of our ROMS 4DVAR approach, see (Song et al., 2012) and (Miller, Song, & Subramanian, 2015). Kz and w were interpolated to CTD cast locations from the 9-km ROMS 4DVAR solution using bilinear 2D interpolation from the four points comprising the nearest neighbors to the cast coordinates.
Glycaemic variability identified as a critical determinant of myocyte dysfunction and risk for myocardial injury in preclinical models of diabetes
GEO Series GSE279917. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
Figure 8 from: Ossowska E, Guzow-Krzemińska B, Kolanowska M, Szczepańska K, Kukwa M (2019) Morphology and secondary chemistry in species recognition of Parmelia omphalodes group – evidence from molecular data with notes on the ecological niche modelling and genetic variability of photobionts. MycoKeys 61: 39-74. https://doi.org/10.3897/mycokeys.61.38175
Figure 8 Distribution of suitable niches of P. omphalodes (A) and P. pinnatifida (B) in America.
Climate model variability leads to uncertain predictions of the future abundance of stream macroinvertebrates
<p>All these files belong to the figures of the paper entitled "Climate model variability leads to uncertain predictions of the future abundance of stream macroinvertebrates" which is about to be published in the journal "<em>Scientific Reports</em>".</p>
Evaluation of a customized variable-resolution global model and its application for high-resolution weather forecasts in East Asia
<p>The data for shallow water test for the paper "Evaluation of a customized variable-resolution global model and its application for high-resolution weather forecasts in East Asia" are in the two sw[2,5]_GlobalIntegrals.tar.bz2 files.</p> <p>The data of MPAS model output is stored as Demo data of the <a href="https://cpas.earth/">CPAS cloud platform</a> with Jupyter visualization tools and user interface. Please see "How-to-visualize-MPAS-model-data.pdf" on how to use it.</p>
Data from: Modelling variability in the fire-response of an endangered bird to improve fire-management
Conservation managers regularly burn vegetation to regenerate habitat for fire-dependent species. When determining the time-since-fire at which to burn, managers model change in a species' occurrence over time, post-fire (fire-response curve) and identify the time-since-fire associated with decline in occurrence. However, where species exhibit variability in their fire-response across space, using a single fire-response curve to determine the timing of burns may lead to burning habitat at an inappropriate time-since-fire. We tested if elevation, local topography, soil properties, vegetation type or evapotranspiration affect the fire-response of the endangered mallee emu-wren Stipiturus mallee and its hummock-grass habitat Triodia scariosa in south-eastern Australia (n= 217). Previous work on the mallee emu-wren found a unimodal fire-response with decline in occurrence at ~30-50 years-since-fire and a time-window of occurrence of ~30 years. We found that time-since-fire and elevation interact to affect the mallee emu-wren fire-response. At high elevations (55-98 m), mallee emu-wrens declined in occurrence at ~50 years-since-fire, with a time-window of occurrence of 20-40 years. However, at low elevations (28-55 m), mallee emu-wrens showed no decline in occurrence with increasing time-since-fire with a time-window of occurrence of up to 107 years. Extent cover of Tall T. scariosa showed similar patterns to the mallee emu-wren, indicating that vegetation structure is a likely driver of variability in the mallee emu-wren fire-response. We speculate that the effect of low elevation is mediated by increased soil nutrient and water availability for key plants. We used our findings to map the appropriate time-since-fire at which to burn to regenerate habitat for the mallee emu-wren across the study-region. We recommend no burning for regeneration across one-third of potential habitat, because the mallee emu-wren showed no decline in occurrence in these areas. We recommend managers model variability in species' fire-responses across space to improve the timing of burns for regeneration.
[Dataset] A Recharge Oscillator Model for Interannual Variability in Venus' Clouds
<p>This dataset contains codes and data to reproduce figures 1-5 of the paper titled "A Recharge Oscillator Model for Interannual Variability in Venus' Clouds", currently under review at JGR Planets. The readme file included in the dataset gives a description of each file and their author.</p>
Data, Code, Models, and Results for 'Empirical estimation of yield variability due to weather shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat'
<p>Data, Code, Models, and Results for 'Empirical estimation of yield variability due to weather shocks using biophysical characteristics for U.S. rainfed and irrigated maize, soybeans, and winter wheat'</p>
Dataset for "Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics"
<p>Dataset for publication:</p> <p>Battista, P. Molnar, and P. Burlando. Modelling impacts of spatially variable erosion drivers on suspended sediment dynamics. Earth Surface Dynamics, 8(3):619{635, jul 2020a. ISSN 2196-632X. doi: 10.5194/esurf-8-619-2020.</p>
biomass data and environmental variables model and station 18
<p>biomass data and environmental variables model and station 18, publication in progress in oceanography</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.