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115 results for “density modeling”
Feasible carbon-trade model for low-carbon density ecosystem
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Taqman Low Density Arrays (TLDA) based microRNAs expression profile of mouse extrahepatic bileducts and gallbladders during a mouse model of biliary atresia.
GEO Series GSE41593. Mus musculus. 18 samples. Type: Other.
Modelled spatiotemporally explicit fish densities at different fisheries management scenarios
<ol> <li>Conflicts of interest between resource extraction and conservation are widespread, and negotiating such conflicts or trade-offs is a key issue for ecosystem managers. One such trade-off is resource competition between fisheries and marine top predators. Managing this trade-off has so far been difficult due to a lack of knowledge regarding the amount and distribution of prey required by top predators.</li> <li>Here, we develop a framework that can be used to address this gap: a bio-energetic model linking top predator breeding biology and foraging ecology with forage fish ecology and fisheries management.</li> <li>We apply the framework to a Baltic Sea colony of common guillemots <i>Uria aalge</i> and razorbills <i>Alca torda</i>, two seabird species sensitive to local prey depletion, and show that densities of forage fish (sprat <i>Sprattus sprattus</i> and herring <i>Clupea harengus</i>) corresponding to the current fisheries management target B<sub>MSY</sub> are sufficient for successful breeding. A previously proposed fisheries management target for conserving seabirds, 1/3 of historical maximum prey biomass (B<sub>1/3</sub>), was also sufficient.</li> <li>However, the results highlight the importance of maintaining sufficient prey densities in the vicinity of the colony, suggesting that fine-scale spatial fisheries management is necessary to maintain high seabird breeding success.</li> <li>Despite foraging on the same prey, razorbills could breed successfully at lower prey densities than guillemots but needed higher densities for self-maintenance, emphasizing the importance of considering species-specific traits when determining sustainable forage fish densities for top predators.</li> <li> <i>Synthesis and application.</i> Our bio-energetic modelling framework provides spatially explicit top predator conservation targets that can be readily integrated with current fisheries management. The framework can be combined with existing management approaches such as Dynamic Ocean Management, Marine Spatial Planning and Management Strategy Evaluation to inform ecosystem-based management of marine resources.</li> </ol>
Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study
<p>MHD simulation data for paper: Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study</p>
Lower ionospheric electron densities based on a simple ionospheric model that uses MSP as charge carrier
<p>This data is related to the following papers:</p> <p>Meteor smoke influences on the D-region charge balance – review of recent in situ measurements and one-dimensional model results</p> <p>C. Baumann et al. 2013</p> <p>and</p> <p>Modelling of the influence of meteoric smoke particles on artificial heating in the D-region</p> <p>M. Myrvang, C. Baumann and I. Mann, 2021</p> <p> </p> <p> </p> <p>This data set contains electron density altitude profiles from a simple ionospheric model described in C. Baumann et al 2013 using meteoric smoke particles (MSP) as active charge carrier and a comparative modelrun without MSP.</p> <p> </p> <p>Myrvang et al. uses this data for their modelling of the electron heating in the lower ionosphere.</p> <p> </p> <p>day_data_autumn.txt and night_data_autumn.txt </p> <p>contain the electron density data as in C. Baumann et al. 2013 and also used in Myrvang et al. 2021</p> <p> </p> <p>MSP_summer.txt</p> <p>contains the electron density for a summer MSP size distribution as in Myrvang et al. 2021</p> <p>MSP_winter</p> <p>contains the electron density for a winter MSP size distribution as in Myrvang et al. 2021</p> <p> Ne_charging_prob_1</p> <p>contains the electron density for a charging efficiency of one for all MSP sizes (Myrvang et al. 2021)</p> <p> </p> <p>Ne_charging_prob_1_5 </p> <p>contains the electron density for a charging efficiency of one for MSP sizes greater as 1.5nm (Myrvang et al. 2021)</p> <p> </p>
Tetrahedral Cu(I) Complexes for Thermally Activated Delayed Fluorescence: A Density Functional Benchmark Study with QM/MM Models
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Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules"
<p>Data and trained models for "Fourier Ring Correlation and anisotropic kernel density estimation improve deep learning based SMLM reconstruction of microtubules", https://github.com/CIA-CCTB/FRCnet</p>
3D modeling of positive streamers in air with inhomogeneous density
<p>This dataset contains the data used to generate the simulation results presented in the paper titled "3D modeling of positive streamers in air with inhomogeneous density". It includes (1) the source code; (2) transport data files as input; and (3) configuration files for running the simulations.</p>
AI Model for Bone Mineral Density Prediction From X-Ray Images
ClinicalTrials.gov study NCT06652061. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Assessment of Bone Density and Bone Turnover Markers in Patients With Down Syndrome and Comparison to the Ts65Dn Model
ClinicalTrials.gov study NCT01148121. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Modelled spatiotemporally explicit fish densities at different fisheries management scenarios
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Synthetic basement depth, gravity anomalies, density and observation points training dataset to train deep learning model
<p>Contains 200000 training data for our DNN model.</p>
Model-based prognostics for batteries which estimates useful life and uses a probability density function
This invention develops a mathematical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of the model has been linked to the internal processes of the battery and validated using experimental data. Effects of temperature and load current have also been incorporated into the model. Subsequently, the model has been used in a Particle Filtering framework to make predictions of remaining useful life for individual discharge cycles as well as for cycle life. The prediction performance metrics customized for prognostics for a sample case. The work presented here provides initial steps towards a comprehensive health management solution for energy storage devices.
Log Density / Location Model
<p>Run: python3 Final_Pipeline.py "[cassandra, elasticsearch, flink, hbase, kafka, wicket, zookeeper]" "comb"</p><p>The data needs to be in the same folder as the script.</p>
A Comprehensive Hybridization Model Allows Whole HERV Transcriptome Profiling Using High Density Microarray
GEO Series GSE87134. Homo sapiens. 29 samples. Type: Expression profiling by array.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.