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Dataset results
855 results for “model system”
Data and code from: Wide-Angle Lung Experiment Segmentation (WALES): A novel methodology for quantitative assessment of lung pathology in model systems
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Data from: Sampling strategy matters: eDNA-based assessment and extrapolation of myxozoan diversity in a model stream system
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Data from: Warming speeds up range expansion in an experimental model system
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Manipulations of albedo and mortality of upper canopy leaves in a tropical forest diverge from Earth System model results
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Chemistry-weather interacted model system GRAPES_Meso5.1/CUACE CW V1.0
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PHYS (2 of 4)
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Unoccupied aerial system enabled functional modeling of maize (Zea mays L.) height reveals dynamic expression of loci associated to temporal growth
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Data from: Light-level geolocators and species distribution modeling reveal that the vulnerable Sporophila cinnamomea (Chestnut Seedeater) migrates through the Paraná-Paraguay System to Central Brazil
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Community Earth System Model (CESM) simulations disentangling CO2 effects - PI (4 of 4)
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Shelled Pteropod individual-based model output for the publication: The impact of aragonite saturation variability on shelled pteropods: An attribution study in the California current system
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Model output for: Attributing causes of future climate change in the California Current System with multi-model downscaling
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Data from: Specifying high-altitude electrons using low-altitude LEO systems: the SHELLS model
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Data from: Laboratory culture of the California Sea Firefly Vargula tsujii (Ostracoda: Cypridinidae): developing a model system for the evolution of marine bioluminescence
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Comparing power-system- and user-oriented battery electric vehicle charging representation and its implications on energy system modeling
<p>This supplementary material includes data and code for the research described in the paper "Comparing power-system- and user-oriented battery electric vehicle charging representation and its implications on energy system modeling". The code containts an interface between the output files of the agent-based simulation model CURRENT and the energy system optimization model REMix as well as some scripts for analyzing REMix results. The data folder contains input data for REMix, the complete list of all model runs analyzed in the paper in the GAMS format .gdx as well as Excel files containing annual results of the sensitivity runs and respective pivot tables and figures for respective analysis.</p>
Properties of OB star−black hole systems derived from detailedbinary evolution models
<p>Input files to reproduce the MESA simulations used in <a href="https://arxiv.org/abs/1912.09826">Langer et al. (2020)</a></p> <p>MESA version 8845</p> <p>For instructions, refer to the README.md file included.</p>
Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence
<p>This is the replication package for the paper: "Automatic Classification of Non-functional Requirements in App User Reviews Based on System Model and Artificial Intelligence". It contains the dataset of our experiment for the replication by other researchers. In the meanwhile, we provide brief description of the files in the replication package in the following.</p> <p><strong>1. dataset folder</strong></p> <ul> <li>dataset_user_reviews.xlsx contains 1278 labelled non-requirement user reviews.</li> <li>readme.txt describes the meaning of the data in dataset_user_reviews.xlsx in detail.</li> </ul>
Sample of initial condition data for the ABC simplified atmospheric model and data assimilation system (vn1.4da)
<p>The file contains a link to a sample of initial condition data for use with the ABC simplified atmospheric model and data assimilation system (vn1.4da).</p>
SIM4NEXUS System Dynamics Model of Azerbaijan
<p>The System Dynamics Model covers all five sectors of the Nexus of Azerbaijan. Namely the climate, water, land, food and energy sector and their interlinkages. The SDM has been developed in the H2020 project SIM4NEXUS and is the base for a Serious Game on the Azerbaijani Nexus.</p>
Enhancing the usefulness of artificial seeds in seed beetle model systems research
<p>Seed beetles are among textbook examples of experimental model systems used to better understand nature's complexities. A potential seed beetle model systems strength is the use of artificial seeds to remove experimental confounds. This is particularly relevant for scaling life histories to population dynamics but requires many artificial seeds. Current methods of producing seeds are laborious, limiting their application.</p> <p>Building on previous work, we developed efficient methods to produce artificial seeds and expand their use. We outline steps to produce artificial seeds and describe a new technique for transferring beetle eggs laid on natural seeds to artificial seeds. </p> <p>Our methods yielded a 100-fold increase in artificial seed production that is 80% more efficient than current methods. Burrowing success of beetle larvae from eggs laid on natural seeds and transferred to artificial seeds (85.4%) was comparable to rates on natural seeds. </p> <p>Streamlining artificial seed production enables highly replicated life-history and time-series assays with large sample sizes. The ability to transfer eggs from natural to artificial seeds allows research on many phenomena including oviposition strategies, maternal provisioning, and competitive strategies, broadening the usefulness of seed beetle model systems in ecological and evolutionary research. </p>
A multi-state occupancy modeling framework for robust estimation of disease prevalence in multi-tissue disease systems
<p>1. Given the public health, economic, and conservation implications of zoonotic diseases, their effective surveillance is of paramount importance. The traditional approach to estimating pathogen prevalence as the proportion of infected individuals in the population is biased because it fails to account for imperfect detection. A statistically robust way to reduce bias in prevalence estimates is to obtain repeated samples (or sample many tissues in multi-tissue disease systems) and to apply statistical methods that account for imperfect detection and permit the interdependence of the infection process across multiple tissues.</p> <p>2. We developed a multi-state occupancy modeling framework which considers two scenarios about the infection process, one where no assumptions about the dependencies among the tissues are made (general), and another where dependence among tissues is not permitted (constrained).</p> <p>3. We applied this model to pseudorabies virus (PrV) DNA detection data obtained from whole blood; and oral, nasal, and genital mucosa of 510 feral swine (Sus scrofa) during the years 2014-2016 in Florida, USA.</p> <p>4. The constrained model was better supported by data. Estimated PrV prevalence varied among tissues, ranging from to 0.06 (CI: 0.02-0.14) in genital to 0.54 (CI: 0.14-0.82) in nasal tissue. Probability of PrV detection ranged from 0.11 (CI: 0.06-0.18) in nasal to 0.51 (CI: 0.21-0.81) in genital tissue. Estimates of PrV prevalence after accounting for imperfect detection were higher than the naïve estimates for all four tissues.</p> <p>5. PrV prevalence was not affected by the age or sex of the animal or the year of sampling, but prevalence increased as drought severity increased.</p> <p>6. The conditional probability of detecting PrV given infection in at least one tissue type within an individual was highest for nasal tissue, suggesting that nasal is the best tissue to sample for PrV surveillance if only one tissue can be sampled, at least for systems with tissue-specific prevalence and detection probabilities similar to ours.</p> <p>7. We found that pathogen prevalence in multi-tissue disease systems can vary across tissues. Our results emphasize the importance of sampling multiple tissues, and the application of robust statistical models to account for imperfect detection in the surveillance of systemic diseases. The multi-state modeling framework is broadly applicable to the surveillance of pathogens that infect multiple tissues and where the infection status or detection of the pathogen in one tissue may depend on the infection status of the pathogen in other tissues). 29-Jul-2020</p>
ScienceDex guides
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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.