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855 results for “model system”

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zenodo36/100

High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 11

<p>Future projections of 2-meter maximum, mean and minimum temperatures by the BMlinear model forced by the seven GCMs used in the&nbsp;GMD paper &quot;High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia&quot;.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 1

<p>Input data (ERA5 and the seven GCMs) used to train the CNN models (BMlinear, BM1, BM10 and BMdense) used in&nbsp;the GMD paper &quot;High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia&quot;.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 9

<p>Historical projections of all predictands (2-meter maximum, mean and minimum temperatures, and precipitation) by all CNN models (BMlinear, BM1, BM10, BMdense) forced by the seven GCMs used in&nbsp;the GMD paper &quot;High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia&quot;. Each CNN model architecture is available in the file &quot;model.json&quot; and its optimized weights for each case are available in the file &quot;model_weights.h5&quot;.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia Part 7

<p>Future projections of precipitation&nbsp;by the BMdense&nbsp;model&nbsp;forced by the seven GCMs used in&nbsp;the GMD paper &quot;High resolution downscaling of CMIP6 Earth System and Global Climate Models using deep learning for Iberia&quot;.</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Dataset: Modular Impedance Matrix Method for Transient Modeling in Pipe Network Systems

<p>Unsteady flow is an important engineering problem in urban pipe network systems, requiring pressure and flow rate management analyses and reliable drinking water quality maintenance. Efficiently solving the hyperbolic partial differential equation and integrating it with various boundary conditions under the complex layout scenarios of pipe networks is a challenging issue for pipeline modelers. Frequency-domain modeling with a time-domain response was developed as an alternative to the traditional method of characteristics. However, this solution requires a substantial array size for large pipe network systems, significantly affecting applicability in field pipe network systems. This study proposes an innovative transient analysis method, the modular impedance matrix method, to solve the most labor- and cost-intensive computational issues affecting the unsteady flow analysis of large, complicated pipe networks. This method was applied to a field pipe network system and its performance compared to existing approaches. The algorithm of the proposed method fundamentally solved the computational problems associated with other methods, and its modular scheme allowed feasible integration with an analytical formulation that can be tailored to the modeler's preferences. The modular impedance matrix method's strength can be amplified according to the size and complexity of the pipe network system owing to its unique complementary validation capability.&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Case study result data set for the submitted article "Implications of hydrogen import prices for the German energy system in a model-comparison experiment"

<p>The data set contains result data for the German energy system in a long term scenario (scenario year 2045) as described in the publication "Implications of hydrogen import prices for the German energy system in a model-comparison experiment". The results have been generated with the models REMod of&nbsp;Fraunhofer Institute for Solar Energy Systems ISE, Enertile of&nbsp;Fraunhofer Institute for Systems and Innovation Research ISI, and SCOPE SD of Fraunhofer Institute for Energy Economics and Energy System Technology IEE.</p><p><strong>Abbreviations:</strong></p><ul><li>BEV - Battery Electric Vehicles</li><li>CC - Combined Cycle</li><li>CCGT - Combined Cycle Gas Turbine</li><li>CHP - Combined heat and power</li><li>CO2 - Carbon dioxide</li><li>con - consumption</li><li>FC - Fuel Cell</li><li>FCEV - Fuel Cell Electric Vehicle</li><li>gen - generation</li><li>H2 - Hydrogen</li><li>HT - High temperature</li><li>ICE - Internal Combustion Engine</li><li>LDV - Light-Duty Vehicle</li><li>LT - Low temperature</li><li>med - medium</li><li>OC - Open Cycle</li><li>OCGT - Open Cycle Gas Turbine</li><li>PHEV - Plug-In Hybrid Vehicles</li><li>PS - Pumped Storage</li><li>PV - Photovoltaics</li><li>ST - Steam turbine</li><li>SynFuel - Synthetic fuel</li><li>w/ - with</li><li>w/o - without</li><li>yr - year</li></ul>

opencc-by-4.0Oct 2023View details →
ClinicalTrials.gov36/100

Kiosk-Model Self-Triage System in the Pediatric Emergency Department

ClinicalTrials.gov study NCT01515488. IPD Sharing: Not stated. Countries: 1. Publications: 2.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Development of a Dietary Intervention Model Based on Genetic Data as an Implementation of a Healthy Lifestyle in the Management of Systemic Lupus Erythematosus Patients

ClinicalTrials.gov study NCT07183007. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad36/100

Carcass decay inhibits denitrification indirectly by regulating the microbiota and physicochemical properties in a model water system

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publicJul 2024View details →
dryad36/100

Development of a homeolog-specific gene editing system in an evolutionary model for the study of polyploidy in nature

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publicSep 2025View details →
dryad36/100

Systemic application of the TRPV4 antagonist GSK2193874 induces tail vasodilation in a mouse model of thermoregulation

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publicJun 2022View details →
dryad36/100

Pleiotropic effects of trisomy and pharmacologic modulation on structural, functional, molecular, and genetic systems in a Down syndrome mouse model

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publicFeb 2024View details →
dryad36/100

Modeling of pressure induced magnetic and magnetocaloric effects in dissipative magnetic shape memory alloy systems

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publicSep 2023View details →
dryad36/100

Data for: How do we measure and increase systems thinking? Comparing self-reported and performative metrics in response to building causal loop models

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publicNov 2025View details →
dryad36/100

Data from: Cost-effectiveness of leveraging existing HIV primary health systems and community health workers for hypertension screening and treatment in Africa: An individual-based modelling study

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publicJan 2025View details →
dryad36/100

Development of an efficient CRISPR-mediated genome editing platform in the diploid-polyploid model system Tragopogon (Asteraceae)

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publicJun 2024View details →
dryad36/100

Multimodal mucosal and systemic immune characterization of a non-human primate trachoma model highlights the critical role of local immunity during acute phase disease

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publicAug 2024View details →
dryad36/100

Community Earth System Model (CESM) simulations disentangling CO2 effects - FULL (1 of 4)

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publicJan 2025View details →
dryad36/100

Community Earth System Model (CESM) simulations disentangling CO2 effects - RAD (3 of 4)

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publicJan 2025View details →
dryad36/100

Data from: On the flexibility of the multipole model refinement. A DFT benchmark study of the tetrakis(μ-acetato)diaquadicopper model system

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publicMay 2025View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record