cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4586483
title: Supplementary dataset 11 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 11th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2, and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586482
title: Supplementary dataset 11 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 11th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2, and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586598
title: Supplementary dataset 12 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 12th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2, and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586597
title: Supplementary dataset 12 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 12th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2, and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586661
title: Supplementary dataset 13 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 13th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586660
title: Supplementary dataset 13 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 13th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586733
title: Supplementary dataset 14 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 14tht part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586732
title: Supplementary dataset 14 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 14tht part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586768
title: Supplementary dataset 15 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 15th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586767
title: Supplementary dataset 15 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 15th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4587683
title: Impact of heatwave counts and relative humidity on fatal intentional self-harm: complete code in R

description: The covariance between FISH and heat/humidity modelled using a negative binomial Poisson regression with data from 60 countries between 1979-2016 in RStudio.
DOI: 10.5281/zenodo.4587682
title: Impact of heatwave counts and relative humidity on fatal intentional self-harm: complete code in R

description: The covariance between FISH and heat/humidity modelled using a negative binomial Poisson regression with data from 60 countries between 1979-2016 in RStudio.
DOI: 10.25646/8120
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4586381
title: Supplementary dataset 10 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 10th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4586380
title: Supplementary dataset 10 - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: 10th part of Supplementary dataset 1-15: contains populations of 50'000 control coefficients (Metabolic Control Analysis) for three models D1, D2 and D3 of different network size. These populations of control coefficients were used to study the effects of model complexity - in terms of network size - on the conclusions drawn from MCA. A metric for measuring the sensitivity of MCA control coefficients to these structural changes was proposed.
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4587694
title: Models and datasets - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: <strong>Models and raw datasets required for reproducing the results of the manuscript The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli. by Hameri et al. </strong><br> <br> Models: Three thermodynamically curated models of E.coli metabolism of increasing size - namely D1, D2 and D3 - are provided in MATLAB format .mat files: D1: D1_FDP1.mat D2: D2_FDP1.mat D3: D3_FDP1.mat Datasets: Configuration MATLAB .mat files that were used to generate the control coefficient (Metabolic Control Analysis) for D1, D2 and D3. Also, the steady-state metabolic flux and concentration vectors are provided. D1: metSampDataD1_FDP1.mat D2: metSampDataD2_FDP1.mat D3: metSampDataD3_FDP1.mat The populations of 50’000 control coefficients for D1, D2 and D3 are provided for each model in five separate subsets/batches of 10’000 control coefficients. Each model X has 50 files YY of 1’000 control coefficients DataDX_FDP1YY, where X is the model ranging from 1-3 and YY is the file number ranging 1-50. D1: Supplementary dataset 1: https://doi.org/10.5281/zenodo.4585663 Supplementary dataset 2: https://doi.org/10.5281/zenodo.4585702 Supplementary dataset 3: https://doi.org/10.5281/zenodo.4585719 Supplementary dataset 4: https://doi.org/10.5281/zenodo.4585739 Supplementary dataset 5: https://doi.org/10.5281/zenodo.4585865 D2: Supplementary dataset 6: https://doi.org/10.5281/zenodo.4585932 Supplementary dataset 7: https://doi.org/10.5281/zenodo.4585995 Supplementary dataset 8: https://doi.org/10.5281/zenodo.4586074 Supplementary dataset 9: https://doi.org/10.5281/zenodo.4586286 Supplementary dataset 10: https://doi.org/10.5281/zenodo.4586380 D3: Supplementary dataset 11: https://doi.org/10.5281/zenodo.4586482 Supplementary dataset 12: https://doi.org/10.5281/zenodo.4586597 Supplementary dataset 13: https://doi.org/10.5281/zenodo.4586660 Supplementary dataset 14: https://doi.org/10.5281/zenodo.4586732 Supplementary dataset 15: https://doi.org/10.5281/zenodo.4586767
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4587693
title: Models and datasets - The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli.

description: <strong>Models and raw datasets required for reproducing the results of the manuscript The effects of model complexity and size on metabolic flux distribution and control. Case study in Escherichia coli. by Hameri et al. </strong><br> <br> Models: Three thermodynamically curated models of E.coli metabolism of increasing size - namely D1, D2 and D3 - are provided in MATLAB format .mat files: D1: D1_FDP1.mat D2: D2_FDP1.mat D3: D3_FDP1.mat Datasets: Configuration MATLAB .mat files that were used to generate the control coefficient (Metabolic Control Analysis) for D1, D2 and D3. Also, the steady-state metabolic flux and concentration vectors are provided. D1: metSampDataD1_FDP1.mat D2: metSampDataD2_FDP1.mat D3: metSampDataD3_FDP1.mat The populations of 50’000 control coefficients for D1, D2 and D3 are provided for each model in five separate subsets/batches of 10’000 control coefficients. Each model X has 50 files YY of 1’000 control coefficients DataDX_FDP1YY, where X is the model ranging from 1-3 and YY is the file number ranging 1-50. D1: Supplementary dataset 1: https://doi.org/10.5281/zenodo.4585663 Supplementary dataset 2: https://doi.org/10.5281/zenodo.4585702 Supplementary dataset 3: https://doi.org/10.5281/zenodo.4585719 Supplementary dataset 4: https://doi.org/10.5281/zenodo.4585739 Supplementary dataset 5: https://doi.org/10.5281/zenodo.4585865 D2: Supplementary dataset 6: https://doi.org/10.5281/zenodo.4585932 Supplementary dataset 7: https://doi.org/10.5281/zenodo.4585995 Supplementary dataset 8: https://doi.org/10.5281/zenodo.4586074 Supplementary dataset 9: https://doi.org/10.5281/zenodo.4586286 Supplementary dataset 10: https://doi.org/10.5281/zenodo.4586380 D3: Supplementary dataset 11: https://doi.org/10.5281/zenodo.4586482 Supplementary dataset 12: https://doi.org/10.5281/zenodo.4586597 Supplementary dataset 13: https://doi.org/10.5281/zenodo.4586660 Supplementary dataset 14: https://doi.org/10.5281/zenodo.4586732 Supplementary dataset 15: https://doi.org/10.5281/zenodo.4586767
description: This work was supported by funding from the Ecole Polytechnique Fédérale de Lausanne (EPFL), the 2015/313 ERASysAPP RobustYeast Project funded through SystemsX.ch, the Swiss Initiative for Systems Biology evaluated by the Swiss National Science Foundation, and the Swiss National Science Foundation grant 315230_163423. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
DOI: 10.5281/zenodo.4587690
title: Resultados do Buxco e prototipo vestivel com sensores integrados

description: <br> <br> Conforme combinado envio os datasets de todos os experimentos realizados até o momento . <br> <br> Em anexo coloco : 1) relatório resumido dos experimentos ,2) o Data Management Plan (DMP) 3) Relatório do Experimento de Data science realizado junto a disciplina de Ciencia de Dados do Prof. Pedro Pizzigati . 4) Alinhamento simultaneo dos relógios ; 5) Datasets buxco, Signa e Controle <br> <br> <br> <br>
description: Experimento realizados em 13-10-2020, 18-12-2020 e 04-03-2021
DOI: 10.5281/zenodo.4060514
title: Resultados do Buxco e prototipo vestivel com sensores integrados

description: <br> <br> Conforme combinado envio os datasets de todos os experimentos realizados até o momento . <br> <br> Em anexo coloco : 1) relatório resumido dos experimentos ,2) o Data Management Plan (DMP) 3) Relatório do Experimento de Data science realizado junto a disciplina de Ciencia de Dados do Prof. Pedro Pizzigati . 4) Alinhamento simultaneo dos relógios ; 5) Datasets buxco, Signa e Controle <br> <br> <br> <br>
description: Experimento realizados em 13-10-2020, 18-12-2020 e 04-03-2021
DOI: 10.6084/m9.figshare.12006366
title: Spirula morphometric data

description: This dataset contains morphometric data (univariate shell measurements, outline data, landmark data) of globally distributed <i>Spirula</i> specimens.<br>
DOI: 10.5281/zenodo.4587713
title: Supplementary material to 'Uncertainties in the seismic assessment of historical masonry buildings'

description: This repository provides the OpenSEES models used for producing the results presented in the paper as well as the sets of material and modelling parameters used for the IDAs. Please cite as: Tomić I, Vanin F, Beyer K. Uncertainties in the Seismic Assessment of Historical Masonry Buildings. Applied Sciences. 2021; 11(5):2280. https://doi.org/10.3390/app11052280 Version history:<br> V2: Updated the content PDF file; Updated the reference.
DOI: 10.5281/zenodo.4549230
title: Supplementary material to 'Uncertainties in the seismic assessment of historical masonry buildings'

description: This repository provides the OpenSEES models used for producing the results presented in the paper as well as the sets of material and modelling parameters used for the IDAs. Please cite as: Tomić I, Vanin F, Beyer K. Uncertainties in the Seismic Assessment of Historical Masonry Buildings. Applied Sciences. 2021; 11(5):2280. https://doi.org/10.3390/app11052280 Version history:<br> V2: Updated the content PDF file; Updated the reference.
DOI: 10.17632/6zhc3kfw5r.1
title: Data for: Numerical Simulation of Skin Factors for Perforated Wells with Crushed Zone and Drilling-Fluid Damage in Tight Gas Reservoirs

description: result_shen0.5_hou3cmk0.1_zuankv.vtk: simulation result for penetration length 0.5m with crushed zones and drilling-flui damage (Fig. 6a in paper) result_shen1.1_hou3cmk0.1_zuankv.vtk: simulation result for penetration length 1.1m with crushed zones and drilling-flui damage (Fig. 7 in paper)
DOI: 10.17894/ucph.63a9d8fa-de5e-4c52-838a-08b5bf92831d
title: Molecular dietary analyses of western capercaillies (Tetrao urogallus) reveal a diverse diet
DOI: 10.5281/zenodo.4587725
title: Nesjavellir earthquakes dataset

description: Data table with earthquake catolog reconded in the Nesjavellir (Iceland) geothermal area in the period between 18 October 2016 and 10 June 2020. P- and S-wave manually refined catalog Stations coordinates
DOI: 10.5281/zenodo.4587724
title: Nesjavellir earthquakes dataset

description: Data table with earthquake catolog reconded in the Nesjavellir (Iceland) geothermal area in the period between 18 October 2016 and 10 June 2020. P- and S-wave manually refined catalog Stations coordinates