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48 results for “analytical modeling”
Analytical workflow for "Grad-seq shines light on unrecognized RNA and protein complexes in the model bacterium Escherichia coli", Hör et al. 2020
<p>Analytical workflow including scripts, data and Singularity image for "Grad-seq shines light on unrecognized RNA and protein complexes in the model bacterium Escherichia coli", Hör et al. 2020, (<a href="https://doi.org/10.1101/2020.06.29.177014">https://doi.org/10.1101/2020.06.29.177014</a>)</p>
Supplemental material for article "An analytical approach for bacteria modeling in an estuarine system and in-situ die-off rate estimation"
<p>It contains several supplemental figures and text. </p>
Data of the Paper: Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns
<p>The online artifacts for the following article accepted at 30th Asia-Pacific Software Engineering Conference (APSEC 2023): </p><p>"Analytical Modeling and Empirical Validation of Performability of Service- and Cloud-Based Dynamic Routing Architecture Patterns"</p><p>Abstract:</p><p>Many dynamic routing architectural patterns are available, including distributed routing, e.g., using the sidecar pattern, or centralized routing, e.g., using event stores or service buses. Different Quality-of-Service (QoS) factors influence routing schemas and technology selection, such as performance, reliability, scalability, and control properties offered by the patterns. An analytical model can formalize the QoS factors and facilitate the architectural decision-making when changing the routing scheme, i.e., to more distributed or centralized routing. So far, the impact of these architectural patterns on performability, i.e., the overall performance of a system with impeded reliability, has not been extensively studied. This is important because deciding to increase performance, e.g., by parallel processing of requests, may lead to decreased reliability because of the added points of a crash. We propose an analytical performability model during component crashes. For the empirical validation of our proposed model, we ran an extensive experiment of 2412 hours of runtime on a private cloud infrastructure and Google Cloud Platform. The low prediction error of 1.75\% indicates the high accuracy of our performability model. These results provide important insights when making architectural decisions regarding service- and cloud-based dynamic routing.</p>
Analytical Modeling Framework to Assess the Economic and Environmental Impacts of Residential Deliveries, and Evaluate Sustainable City Logistics Strategies
Open the record for dataset details and reuse information.
Data from: Analytical modeling of the feto-placental vasculature system of the placenta: consideration of oxygen transport
Open the record for dataset details and reuse information.
Modelling results for the analytical assessment (Sec. 2.3) and EA benchmark tests (Sec. 3)
<p>These datasets contains the flow profiles and time histories produced by the FV1, MUSCL-FV2, DG2-NL and DG2-LL for the following tests:</p> <ul> <li><strong>Sec. 2.3: Analytical assessments of model conservation properties:</strong> <ul> <li>Time histories of normalised total energy and mass error from FV1, MUSCL-FV2, DG2-NL and DG2-LL at 20m and 40m grid resolution.</li> <li>Water level profiles at 7tau/2 and 8tau from FV1, MUSCL-FV2, DG2-NL and DG2-LL at 40m grid resolution, along with the analytical solutions.</li> </ul> </li> <li><strong>Sec. 3: Comparison against industrial flood model outputs</strong> <ul> <li><strong><em>Sec. 3.1.1: Flooding and drying cycle over a sloping topography:</em></strong> <ul> <li>Time histories of water level from DG2-LL and DG2-NL at 10m resolution, DG2-NL and MUSCL-FV2 at 20m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.1.2: Symmetrical flow propagation over a flat bed:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 5m resolution, DG2-NL and MUSCL-FV2 at 10m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.1.3: Slow filling of multiple ponds:</strong></em> <ul> <li>Time histories of water level from from DG2-LL and DG2-NL at 20m resolution, DG2-NL and MUSCL-FV2 at 40m resolution, and the reference solution.</li> </ul> </li> <li><strong><em>Sec. 3.2.1: Momentum conservation over an obstruction:</em></strong> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 5m resolution, DG2-NL and MUSCL-FV2 at 10m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.2.2: Torrential flooding over a rural catchment:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 50m resolution, DG2-NL and MUSCL-FV2 at 100m resolution, and the reference solution.</li> </ul> </li> <li><em><strong>Sec. 3.2.3: Dam-break over an oblique building:</strong></em> <ul> <li>Time histories of water level and velocity from from DG2-LL and DG2-NL at 0.1m resolution, and DG2-LL and MUSCL-FV2 at 0.2m resolution.</li> </ul> </li> </ul> </li> </ul>
Analytical kinetic model of native tandem promoters in E. coli
GEO Series GSE183139. Escherichia coli. 12 samples. Type: Expression profiling by high throughput sequencing.
meta data of 'weather_analytics' data model
<p>description of the data fields of the data model, used in the weather_analytics application</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.