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51 results for “conceptual model”
A Conceptual Model Framework for Analyzing, Simulating, Planning and Controlling of Supply-Demand Matching of Ecosystem Services in Agricultural Landscapes
<p>The video gives an explanation of our conceptual approach for the investigation of the adaptation of societal demands for ecosystem services in agricultural landscapes.</p>
Data from: Alternative tree-cover states of the boreal ecosystem: a conceptual model
Aim: Previous analyses of remotely-sensed data detected the multimodality of the tree-cover distribution of the boreal forest, and identified areas with potentially alternative tree-cover states. This paper aims at investigating the causes of multimodality and multistability of the boreal forest, their influence on the asymmetric tree-species distribution between Eurasia and North America, and whether multistability could be associated with recent greening trends in LAI/NDVI. Location: Eurasian and North American boreal forests. Time period: 2000--2010. Major taxa studied: Boreal forest plant functional types. Methods: We employ a conceptual model based on tree-species competition to simulate the sensitivity of tree cover to stochastic disturbances and to changes in environmental factors. We include different plant functional types based on survival adaptations, and force the model with remotely-sensed environmental data. We analyse the model as a dynamical system. We use metrics from statistics and information theory to compare the detection of alternative tree-cover states and greening trends in LAI/NDVI. Results: We find that multimodality and multistability can emerge through competition between different plant functional types. Additionally, our model is able to reproduce the asymmetry in tree-species distribution between Eurasia and North America. Moreover, changes in permafrost distribution can be associated with phenomenological bifurcation points of the model. Finally, we find that the detection of multistable areas is not affected by recent vegetation trends, whereas shifts between alternative states could have affected the greening trends. Main conclusions: Tree-cover multistability in the boreal region can emerge through competition between species subject to periodic disturbances. Changes in permafrost thaw and distribution could be responsible for the asymmetry in tree-species distribution between North America and Eurasia. Climate change and permafrost degradation could cause shifts in tree-cover states and dominant species. Recent vegetation greening trends in multistable areas could have been affected by shifts between alternative states.
SIASAR conceptual model v1 outputs obtained from Nicaragua and Honduras databases (last accessed: December 21, 2016)
<p>Provided results were obtained by applying SIASAR composite indicators v1, as described in http://hdl.handle.net/2117/77587</p> <p>All “NA” values were depurated from preliminary results</p> <p>Final results are presented for Nicaragua and Honduras independently</p> <p>Required input data is available at http://doi.org/10.5281/zenodo.571351</p>
The evaluation data and source codes of a new conceptual coupled Earth system model and the MOC box model.
<p>The dataset contains the results of a conceptual Atmosphere-Ocean-Ice-Land coupled Earth system model and a MOC box model and the evaluation data of their.</p>
Conceptual climate models datasets used for DIRESA
<p>Lorenz '63 and MAOOAM datasets used for for DIRESA</p>
Artifacts for the SPLC 2020 Paper "A Conceptual Model for Unifying Variability in Space and Time" and the ESE journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications"
<p>These artifacts relate to the SPLC'20 research paper "A Conceptual Model for Unifying Variability in Space and Time" and the Empirical Software Engineering journal extension "A Conceptual Model for Unifying Variability in Space and Time: Rationale, Validation, and Illustrative Applications."</p>
Supplementary material for "Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies'"
<p>This material supplements the following conference publication:</p> <p>Rosenthal, K., Wagner, S., Strecker, S. (2022) Modeling styles in conceptual data modeling: Reflecting observations in a series of multimodal studies</p>
Supplementary material for "Experimentation in Conceptual Modeling Research: A Systematic Review"
<p>This material containing a list of the bibliographical data of the final sample and the sample of 182 publications before excluding publications outside of our focus supplements the following literature review:</p> <p>Fischer, Markus; Rosenthal, Kristina; Strecker, Stefan, (2019). “Experimentation in Conceptual Modeling Research: A Systematic Review”. Accepted to the Twenty-Fifth Americas Conference on Information Systems, AMCIS 2019, Cancún, México, Aug 15–17, 2019.</p>
How novice process modelers conceptualize work processes
<p>These are the datasets which emerged during our research on 'how novice process modelers conceptualize work processes'. The results are shown in the eponymous bachelor thesis.</p>
Dataset of the Article Evaluating a Framework of Conceptual Modelling Research
<p>Results and replication package of the article: <span>Evaluating a Framework of Conceptual Modelling Research</span></p>
Databases for "A multiscale approach to identify key factors determining rural WaSH service level and sustainability" (ShinyApp). Application to SIASAR conceptual model v1, outputs obtained from Nicaragua, Honduras, Panama and Dominican Republic SIASAR databases (last accessed: December 21, 2016)".
<p>Attached databases contain the results obtained by applying the SIASAR composite indicators v1 (available at http://upcommons.upc.edu/handle/2117/77587) to data presented in http://doi.org/10.5281/zenodo.571351</p> <p>These files can be directly exploited by using the ShinyApp “A multiscale approach to identify key factors determining rural WaSH service level and sustainability”.</p> <p>Each *.csv file contains one country's database. </p>
pywaterinfo dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>This forcings dataset is the output of the pywaterinfo (https://fluves.github.io/pywaterinfo/) read in of forcing data (rain and potential evapotranspiration).</p> <p>Code related to this dataset can be found here: https://github.com/olivierbonte/master_thesis</p>
OpenEO dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>This dataset is the output of the <a href="https://openeo.org/">OpenEO</a> processing of satellite data (SAR backscatter and LAI). </p> <p>Code related to this dataset can be found <a href="https://github.com/olivierbonte/master_thesis">here</a></p>
Minimal dataset for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>The minimal dataset needed of data which can not be retrieved from the internet by APIs in the preprocessing. Consists of shape, land use and rivers for the Zwalm catchment. </p> <p>Code related to this dataset can be found here: https://github.com/olivierbonte/master_thesis </p>
Preprocessing output for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>Outputs of the local preprocessing of the OpenEO data (see <a href="https://doi.org/10.5281/zenodo.7691342">here</a>) and pywaterinfo data (see <a href="https://doi.org/10.5281/zenodo.7689200">here</a>).</p> <p>Code related to this dataset can be found <a href="http://github.com/olivierbonte/master_thesis">here</a></p>
Inverse observation operator parameters/models for master's dissertation: Updating a conceptual rainfall-runoff model based on radar observation and machine learning
<p>Both saved models and results of hyperparameter tuning are given. </p> <p>Code related to this dataset can be found <a href="http://github.com/olivierbonte/master_thesis">here</a></p> <p> </p>
Medication Treatment for Opioid Use Disorder in Expectant Mothers: Conceptual Model Assessments Sub-study
ClinicalTrials.gov study NCT03911466. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Linking disturbance and resistance to invasion via changes in biodiversity: a conceptual model and an experimental test on rocky reefs
Open the record for dataset details and reuse information.
A conceptual disease cycle model to link the size of past and future epidemics
Open the record for dataset details and reuse information.
Data from: Alternative tree-cover states of the boreal ecosystem: a conceptual model
Open the record for dataset details and reuse information.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.