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870 results for “Model development”
Aerial Images_Part 2_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria
<p>Aerial Images_Part 2_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>
Aerial Images_Part 1_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria
<p>Aerial Images_Part 1_Integrating Remote Sensing and Machine Learning for Developing Spatio-Temporal Model to Predict Aquatic Larval Habitats of Malaria</p>
DIAMOND D3.2 - Model Development Strategy – Update 1
<p>Updated internal IAM surveys, which aim to update information on how to develop the models based on stakeholder insights.</p>
Development of Ensemble Steric and Electrostatic Chirality (ESEC) descriptors for modelling chromatographic enantioseparations
<p>For example for the Excel file with the title "Borate_chiral_explicit_biased_charged_uncharged.xlsx":</p> <p>- In the first tab, titled "Exp_water_acn_biased_charge", you can find the biased chiral descriptors for the molecules in their pH 9 state, simulated in explicit solvent. </p> <p>- In the second tab, titled "Exp_water_acn_biased_uncharged", you can find the biased chiral descriptors for the molecules in their uncharged state, simulated in explicit solvent. </p> <p>- The third tab, titled "Chiral log alfaRS charge uncharge", includes the responses (log αRS and αRS), along with the retention times and retention factors (k) for each molecule. In addition, this tab contains the descriptors from both the first and the second tab.</p> <p>- The fourth and the fifth tabs present the experimental and predicted responses (log αRS in the fourth tab and αRS in the fifth tab) for the models that were built. </p> <p>The structure of the other files follows a similar pattern: the first tabs provide the descriptor values, followed by a tab containing the modelling information (response(s) and various descriptor sets) and finally, a tab is included with the predicted response values. </p>
Data set of axle loads and distances for operating passenger and freight trains for development of load models
<p>Train data for moving load models of operating trains (5,007 passenger trains and 139,182 freight trains).</p> <ul> <li>axle distances [m] and axle loads [kN] for all trains included in zip-files as txt-files</li> <li>information on line categories (DIN EN 15528), loadcases and maximum speeds for passenger trains (and assignment to passenger train numbers in previous version of publication (used for development of load model)) in xlsx-file</li> </ul>
A predictive flight-altitude model for avoiding future conflicts between an emblematic raptor and wind energy development in the Swiss Alps
<p>Deployment of wind energy is proposed as a mechanism to reduce greenhouse gas emissions. Yet, wind energy and large birds, notably soaring raptors, both depend on suitable wind conditions. Conflicts in airspace use may thus arise between wind energy development and wildlife protection due to the risks of collisions of birds with the blades of wind turbines. Using locations of GPS-tagged bearded vultures, a rare scavenging raptor reintroduced into the Alps, we built a spatially-explicit model to predict potential areas of conflict with future wind turbines deployments in the Swiss Alps. We modelled the probability of bearded vultures flying within or below the rotor-swept zone of wind turbines as a function of wind and environmental conditions, including food supply (presence of wild ungulates). Flight activity at potential risk of collision was generally high, concentrating on south-exposed mountainsides, especially in areas where ibex carcasses have a high occurrence probability, with critical areas covering vast expanses throughout the Swiss Alps. Our model provides a spatially-explicit decision tool that will guide authorities and energy companies for planning the deployment of wind farms in a proactive manner to reduce risk to emblematic Alpine wildlife.</p>
Data from: How well do embryo development rate models derived from laboratory data predict embryo development in sea turtle nests?
<p>Development rate of ectothermic animals varies with temperature. Here we use data derived from laboratory constant temperature incubation experiments to formulate development rate models that can be used to model embryonic development rate in sea turtle nests. We then use a novel method for detecting the time of hatching to measure the in situ incubation period of sea turtle clutches to test the accuracy of our models in predicting the incubation period from nest temperature traces. We found that all our models overestimated the incubation period. We hypothesize three possible explanations which are not mutually exclusive for the mismatch between our modeling and empirically measured in situ incubation period: (1) a difference in the way the incubation period is calculated in laboratory data and in our field nests, (2) inaccuracies in the assumptions made by our models at high incubation temperatures where there is no empirical laboratory data, and (3) a tendency for development rate in laboratory experiments to be progressively slower as temperature decreases compared with in situ incubation.</p>
Code of "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation"
<p>Code used to prepare a paper entitled "Inclusion of flood diversion canal operation in the H08 hydrological model with a case study from the Chao Phraya River basin: model development and validation" which was submitted to Hydrology and Earth System Sciences.</p>
Development of a Multi-Level Dynamic Model to Measure the Resilience Level of Transportation Infrastructure Networks
<p>The recent increase in disasters is making the largest critical infrastructure system namely the transportation infrastructure system susceptible to unexpected damage. Discontinuation of services provided by transportation infrastructures will create significant societal, economic, and collateral damages. Therefore, this study aims to identify dimensions to measure the resilience of the transportation infrastructures. This study also aims to develop a model to measure the resilience of the transportation infrastructures resilience. To fulfill the aims of this study, a questionnaire was developed which was supported by a comprehensive literature review. 92 valid responses were received and analyzed qualitatively and quantitatively. Statistically significant variables were used to develop a resilience measurement tool. The developed tool will provide relative resilience measures for multiple projects which will help in identifying the most vulnerable segment of the transportation infrastructure network. Exploratory factor analysis (EFA) was performed to identify the constructs and structural equation modeling (SEM) was used to develop the model. Without previous experience in reconstruction works, handling integrated assets becomes very critical. Also, such inexperience makes it difficult to handle emergency resources properly. However, such issues regarding integrated assets can be resolved by investing in locating integrated assets away from the roadways, so if a break in a railroad crossing or utility line occurs or emergency repairs are needed, the impact on the roadway operations can be minimized. To avoid issues related to access to previous disaster data for the roadway this study suggess investing in preparing an interactive online platform for recording and reviewing data related to disasters as well as previous resilience enhancing activities for the roadway with easy access credentials. The findings of this study will support practitioners and decision-makers in investing in the appropriate resilience enhancement activity project for funding and investment.</p>
Towards Developing and Analysing The Metric-Based Software Defect Severity Prediction Model
<p>This is a metric based approach to solve software defect severity prediction problem. In addition to that, this work proposes a new evaluation scheme that comprised of five metrics to analyze the performances.</p>
Model parameter time series of the Business Roadmap for sustainable development of the Mar Menor and surrounding Campo de Cartagena
<p>The Business Roadmap and Policy Recommendations (BRM) represents 14 solutions for sustainable development of the Mar Menor and surrounding Campo de Cartagena that were developed during an extensive co-design process (workshops, expert interviews, online questionnaires) with representatives from all relevant sectors involved. A full description of the BRM, its co-development, and the modelled impacts on Key Performance Indicators of sustainability can be found in<a href="http://doi.org/10.5281/zenodo.7142764"> Martínez-López et al (2022)</a>.</p> <p>The model parameter time-series in this dataset indicate if and when a solution is turned on or off between 1964 and 2070 based on preferences indicated by stakeholders. These time-series represent input parameters for the System Dynamics model of the socio-ecosystem of the Mar Menor-campo de Cartagena developed in the COASTAL project and that is used to quantify impacts on key performance indicators of sustainability. This System Dynamics based model, developed by Martínez-López et al (2022) can be consulted <a href="http://doi.org/10.5281/zenodo.7142764">here</a>.</p> <p>The Business Road Map and Policy Recommendations (BRM) consists of the following 4 milestones and related 14 solutions:</p> <p>(I) <strong>Rural ecotourism</strong>:</p> <p>1. The promotion of rural ecotourism activities.</p> <p>(II) <strong>Coastal ecotourism</strong>:</p> <p>2. The promotion of coastal ecotourism activities.</p> <p>(III) <strong>Sustainable agriculture</strong>:</p> <p>3. Implementation of nutrients, soil, and water retention measures</p> <p>4. Reduction in fertilizer use</p> <p>5. Denitrification of brine wastes from groundwater treated for irrigation</p> <p>6. Decrease in agricultural water demand per hectare (i.e. 10% of decrease by default in the model)</p> <p>(IV) <strong>Integrated sustainable management</strong>:</p> <p>7. Control of the extension of irrigated areas</p> <p>8. Promotion of environmental education</p> <p>9. Control of the number of groundwater wells (i.e. maximum 500 wells by default in the model)</p> <p>10. Promotion of small (<10MW) (agro)photovoltaic facilities</p> <p>11. Surface water pumping from the Albujón ephemeral stream</p> <p>12. Control of other point sources of pollution to the lagoon</p> <p>13. Groundwater pumping and treatment</p> <p>14. Increase in sea water desalination amount (twice the BAU value)</p>
Lakkasuo carbon isotope and AWEN extraction data for Yasso-C13 model development
<p>This package contains carbon isotope and AWEN extraction data from litterbag experiments (5 year) at Lakkasuo, a raised bog complex near Hyytiälä weather station in Finland. Additionally present are driving data and parameter values needed to run soil carbon model Yasso. The given data is used to implement and calibrate carbon-13 related soil organic matter decomposition in the Yasso model. The dataset also contains calibration results, scripts to run the results anew and to produce plots and images. The updated dataset uses new Yasso20 parameter values.</p>
Data of "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework"
<p>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data):</p> <p>title = "Ductile fracture of high entropy alloys: from the design of an experimental campaign to the development of a micromechanics-based modeling framework",<br> journal = "Engineering Fracture Mechanics",<br> year = "2022",<br> volume = "275",<br> pages = "108844 ",<br> doi = "https://doi.org/10.1016/j.engfracmech.2022.108844",<br> author = "Antoine Hilhorst, Julien Leclerc, Thomas Pardoen, Pascal J. Jacques, Ludovic Noels, Van-Dung Nguyen"</p> <p>New version following review.</p> <p> </p> <p> </p>
Data for Developing Machine Learning Models to Predict Base Resistance of Pile Foundation
<p>This data was collected from 86 static pile load tests across 37 different high-rise buildings in Vietnam, especially soft soil region in Mekong Delta (Ho Chi Minh City). The data was used to develop machine learning models to predict base resistance of piles. Further details can be found in publication: "<strong>Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments</strong>", Link: https://www.mdpi.com/2673-7094/4/2/25.</p> <p>Recommended citation: Nguyen, Thanh T., Viet D. Le, Thien Q. Huynh, and Nhu H.T. Nguyen. 2024. "Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments" <em>Geotechnics</em> 4, no. 2: 447-469. https://doi.org/10.3390/geotechnics4020025</p> <p> </p>
Replication data for "Learning When to Quit: An Empirical Model of Experimentation in Standards Development"
<p>This is the replication data for the article "Learning When To Quit: An Empirical Model of Experimentation in Standards Development," published in the <em>American Economic Journal: Microeconomics</em>. </p> <p>A detailed description of the data construction can be found in the Data Appendix (Section E in the Online Appendix published with the article's supplementary material).</p> <p>The file _readme-LWTQ-data.xls contains a description of the variables.</p> <p>If you use the data, cite the paper!</p> <p><strong>Ganglmair, Bernhard, Timothy Simcoe, and Emanuele Taranntino (2024): "Learning When To Quit: An Empirical Model of Experimentation in Standards Development," <em>American Economic Journal: Microeconomics</em>, forthcoming<em>.</em></strong></p>
Applying short text topic models to instant messaging communication of software developers
<p>Content related to paper "Applying short text topic models to instant messaging communication of software developers" published in the Journal of Systems and Software.</p> <p><strong>Data available:</strong></p> <ul> <li>Data sets used: JSONs with messages from Gitter chat rooms (downloaded with previous Gitter API - <a href="https://developer.gitter.im/docs/welcome" rel="nofollow">https://developer.gitter.im/docs/welcome</a>): <ul> <li>"Android.json"</li> <li>"ConsenSys.json"</li> <li>"WebpackDocs.json"</li> <li>"Jenkinsci.json"</li> <li>"Locomotive.json"</li> <li>"SpringSecurity.json"</li> <li>"Flutter.rar" - json file was compressed due to its size</li> <li>"GitterHQ.rar" - json file was compressed due to its size</li> <li>"Laravel.rar" - json file was compressed due to its size</li> </ul> </li> <li>"stopwords_list": Customized list of stop words</li> <li>"topics_sttm_results.csv": Topics obtained with each combination of model and corpus (both lemmatized and stemmed corpora)</li> <li>"intrusion_tasks.csv": Results of the survey for the Intrusion Tasks and its participants' background</li> <li>"topicnaming_tasks.csv": Results of the survey for the Topic Naming Tasks and its participants' background</li> <li>"intrinsic_metrics.csv": Scores of topic coherence metrics at topic level ('average' represents the score at model level)</li> <li>"topics_themes_chatrooms.csv": Results of the exercise described in Section 5.2 with the topics and themes identified in each of the 87 Gitter chat rooms.</li> <li>"sensitivity_analysis": Results of a smaller-scale sensitivity analysis to check the impact of the number of topics on the main findings of the paper.</li> </ul>
Development of human pancreatic cancer avatars as a model for dynamic immune landscape profiling and personalised therapy
<div> <div> <div> <p>Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer, a disease with dismal overall survival. Advances in treatment are hindered by a lack of preclinical models. Here we show how a personalised organotypic 'avatar' created from resected tissue, allows spatial and temporal reporting on a complete in situ tumour microenvironment, and mirrors clinical responses. Our perfusion culture method extends tumour slice viability, maintaining stable tumour content, metabolism, stromal composition, and immune cell populations for 12 days. Using multiplexed immunofluorescence and spatial transcriptomics, we identify immune neighbourhoods and potential for immunotherapy. We employed avatars to assess the impact of a pre-clinically validated metabolic therapy and show recovery of stromal and immune phenotypes and tumour re-differentiation. To determine clinical relevance, we monitored avatar response to gemcitabine treatment and identified a patient avatar-predicable response from clinical follow-up. Thus, avatars provide valuable information for the syngeneic testing of novel therapeutics and a truly personalised therapeutic assessment platform for patients.</p> </div> </div> </div>
Dataset for FEM modelling of emission reference material (ERM) developed in the EMPIR project 20NRM04 MetrIAQ
<p>This dataset contains the numerical data used in the project 20NRM04 MetrIAQ for the FEM model simulations on the emission reference material (ERM) with the software COMSOL 6.2. The data published here are freely accessible with a text editor.<br>The accompanying document '<em>FEM data and file name explanations.pdf'</em> contains additional information for each data file.<br>A detailed description of the development of the FEM model can be found in the '<em>Guideline with recommendations on the customised design and dimensioning of the ERM, including the uncertainty of the numerical model developed for the prediction of the emission rate. The numerical model will (i) support the customised generation of the ERM (ii) simulate the transport processes inside the ERM and the compound release into test chamber air and (iii) enable the prediction of the emissions for each of the selected target VOC</em>' (<a href="https://doi.org/10.5281/zenodo.12749007" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.12749007</a>).</p>
Fig. 1 in Simulation modelling as a decision support in developing a sterile insect-inherited sterility release strategy for Eldana saccharina (Lepidoptera: Pyralidae)
Fig. 1. The system designed for simulating pest species dynamics in sugarcane.
Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models
<p>File: 1-s2.0-S096014812201271X-mmc1.docx</p> <p>This file (DOCX) contains additional figures associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc2.xlsx</p> <p>This file (XLSX) contains tables with the coordinates of the VLE associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc3.xlsx</p> <p>This file (XLSX) contains tables with the density data associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc4.xlsx</p> <p>This file (XLSX) contains tables with the calorific data associated with the hydrogen-containing systems.</p> <p> </p> <p>File: 2022_Renewable Energy_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in Renewable Energy (2022, 198, 1398-1429). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.renene.2022.08.096</p>
ScienceDex guides
Understand access before you commit
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.