cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7482307
title: Conformation Database for Publication: Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction

description: <strong>Conformation database</strong> for 2022 Publication "Applying Deep Reinforcement Learning to the HP Model for Protein Structure Prediction" DOI of Physica A publication: https://doi.org/10.1016/j.physa.2022.128395 GitHub source code: https://github.com/CompSoftMatterBiophysics-CityU-HK/Applying-DRL-to-HP-Model-for-Protein-Structure-Prediction This conformation database shows the distinct conformations of best-known and next best energies: ├── <strong>20merA</strong><br> │ ├── <strong>20merA_E8_set</strong><br> │ ├── <strong>20merA_E9_set</strong><br> │ ├── confs_20merA_E8.txt<br> │ └── confs_20merA_E9.txt<br> ├── <strong>20merB</strong><br> │ ├── <strong>20merB_E10_set</strong><br> │ ├── <strong>20merB_E9_set</strong><br> │ ├── confs_20merB_E10.txt<br> │ └── confs_20merB_E9.txt<br> ├── <strong>24mer</strong><br> │ ├── <strong>24mer_E8_set</strong><br> │ ├── <strong>24mer_E9_set</strong><br> │ ├── confs_24mer_E8.txt<br> │ └── confs_24mer_E9.txt<br> ├── <strong>25mer</strong><br> │ ├── <strong>25mer_E7_set</strong><br> │ ├── <strong>25mer_E8_set</strong><br> │ ├── confs_25mer_E7.txt<br> │ └── confs_25mer_E8.txt<br> ├── <strong>36mer</strong><br> │ ├── <strong>36mer_E13_set</strong><br> │ ├── <strong>36mer_E14_set</strong><br> │ ├── confs_36mer_E13.txt<br> │ └── confs_36mer_E14.txt<br> ├── <strong>48mer</strong><br> │ ├── <strong>48mer_E22_set</strong><br> │ ├── <strong>48mer_E23_set</strong><br> │ ├── confs_48mer_E22.txt<br> │ └── confs_48mer_E23.txt<br> └── <strong>50mer</strong><br> ├── <strong>50mer_E20_set</strong><br> ├── <strong>50mer_E21_set</strong><br> ├── confs_50mer_E20.txt<br> └── confs_50mer_E21.txt
description: Please cite the Physica A journal publication: @article{DRL-HP-model-DQN-YANG-PhysicaA, title = {Applying deep reinforcement learning to the HP model for protein structure prediction}, journal = {Physica A: Statistical Mechanics and its Applications}, volume = {609}, pages = {128395}, year = {2023}, issn = {0378-4371}, doi = {https://doi.org/10.1016/j.physa.2022.128395}, url = {https://www.sciencedirect.com/science/article/pii/S0378437122009530}, author = {Kaiyuan Yang and Houjing Huang and Olafs Vandans and Adithya Murali and Fujia Tian and Roland H.C. Yap and Liang Dai}, }
DOI: 10.34740/kaggle/dsv/4770563
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.21778871
title: Lagos State Health Facility Assessment Tool

description: Health Systems Consult Limited (HSCL) conducted a health facility assessment as part of its technical assistance to Lagos State Health Management Agency (LASHMA). The data collected during the health facility assessment will provide the necessary information for the effective implementation of the Lagos State Health Scheme (LSHS). The specific objectives for the health facility assessment were to determine the distribution pattern of the different types of health facilities in Lagos State, the current level of service availability and general service readiness in health facilities, the level of service-specific readiness of health care facilities in Lagos State, and to provide high-priority services on the LSHS. The data was collected across the following thematic areas: human resources, basic infrastructure, basic medical equipment and infection prevention, health services in health facilities, medical supplies and commodities, health insurance coverage, financial management system, and clinical governance.
DOI: 10.25505/fiz.icsd.cc1y1j7r
title: CSD 1788924: Experimental Crystal Structure Determination

description: Related Article: E.V. Selezneva, I.P. Makarova, I.A. Malyshkina, N.D. Gavrilova, V.V. Grebenev, V.K. Novik, V.A. Komornikov|2017|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|73|1105|doi:10.1107/S2052520617012847
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/4770813
title: Country Data
DOI: 10.4121/21774530.v1
title: Instances and file format for the Resource Constrained Project Scheduling Problem with Modular Production

description: This dataset contains instances and a description of the fileformat for the Resource Constrained Project Scheduling Problem with Modular Production
DOI: 10.4121/16489950.v1
title: Quantifying Holistic Capacity Response and Healthcare Resilience in Tackling COVID-19: Assessment of Country Capacity by MCDM.xlsx

description: Detailed dataset, sources, list of covid19 indicators, triangular and linguistic scale preference, weighing of data, and fuzzy Promethee application for evaluating cross-country capacity response against covid19. Data were systematically collected from public repositories and further transformed to derived data suitable for the objectives of our study.
DOI: 10.4121/21763361
title: Research Data - TRUSTS_D7.2 Sustainable business model for TRUSTS data marketplace II

description: This is raw (quantitative) research data based collected for TRUSTS Project deliverable: D7.2 Sustainable business model for TRUSTS data marketplace II. Specifically, this data relates to section “3. Evaluating Value Creation of a Federated Data Marketplace.” This section is divided into two steps: Steps 1 and 2. <br> The research data follow these steps. The spreadsheets of 1_Raw data, 1_Survey item, 1_Descriptive statistic, 1_Demographic_portrait, and 1_Reliability and validity belong to Step 1. Meanwhile, 2_Raw data, 2_Codebook, 2_Descriptive statistic, 2_Model, 2_Reliability and validity, and 2_Structural model belong to Step 2. <br> This research data is used for Partial Least Squares Structural Equation Modelling (PLS-SEM) analysis.
DOI: 10.4121/16489950.v2
title: Quantifying Holistic Capacity Response and Healthcare Resilience in Tackling COVID-19: Assessment of Country Capacity by MCDM

description: Detailed dataset, sources, list of covid19 indicators, triangular and linguistic scale preference, weighing of data, and fuzzy Promethee application for evaluating cross-country capacity response against covid19. Data were systematically collected from public repositories and further transformed to derived data suitable for the objectives of our study.
DOI: 10.4121/16489950.v3
title: Quantifying Holistic Capacity Response and Healthcare Resilience in Tackling COVID-19: Assessment of Country Capacity by MCDM

description: Detailed dataset, sources, list of covid19 indicators, triangular and linguistic scale preference, weighing of data, and fuzzy Promethee application for evaluating cross-country capacity response against covid19. Data were systematically collected from public repositories and further transformed to derived data suitable for the objectives of our study.
DOI: 10.4121/16489950
title: Quantifying Holistic Capacity Response and Healthcare Resilience in Tackling COVID-19: Assessment of Country Capacity by MCDM

description: Detailed dataset, sources, list of covid19 indicators, triangular and linguistic scale preference, weighing of data, and fuzzy Promethee application for evaluating cross-country capacity response against covid19. Data were systematically collected from public repositories and further transformed to derived data suitable for the objectives of our study.
DOI: 10.4121/18865187.v1
title: Data underlying the manuscript: “Optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation"

description: This is the data repository for manuscript "optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation".<br>The data repository contains all instances used in our study.<br>The dataset consists in two folders.<br>1) The inputData folder contains all orginal data of numerical instances, <br>2) The outputData folder contains the solutions of instances. <br>The data are all randomly generated and can be used publicly.
DOI: 10.4121/18865187.v2
title: Data underlying the manuscript: “Optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation"

description: This is the data repository for manuscript "optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation".<br>The data repository contains all instances used in our study.<br>The dataset consists in two folders.<br>1) The inputData folder contains all orginal data of numerical instances, <br>2) The outputData folder contains the solutions of instances. <br>The data are all randomly generated and can be used publicly.
DOI: 10.4121/18865187
title: Data underlying the manuscript: “Optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation"

description: This is the data repository for manuscript "optimizing a multi-echelon location-inventory problem with joint replenishment: a Lipschitz ε-optimal approach using Lagrangian relaxation".<br>The data repository contains all instances used in our study.<br>The dataset consists in two folders.<br>1) The inputData folder contains all orginal data of numerical instances, <br>2) The outputData folder contains the solutions of instances. <br>The data are all randomly generated and can be used publicly.
DOI: 10.4121/21717338
title: Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science

description: In this study, the jigsaw method is abstracted from the <em>collaborate</em> section of the new pedagogy- CACPLA (Communicate, Active, Collaborate, Problem-based Solving, Learning and Assessment), and assisted with tutorials and peer facilitated studies on elasticity. The broad subject was sub-divided into subsections such as: stress and strain in engineering materials, elasticity hysteresis, Hooke's law, stress tensors, bulk modulus, modulus of elasticity, and young modulus. Based on these subtopics, each of the 7 sub-groups were entrusted with creating scenarios for solving actual problems. The case-studies on how the collated jigsaw pieces were useful to support the students and create in-depth knowledge on the subject matter are embeded in the uploaded datasets.
DOI: 10.4121/21717338.v1
title: Datasets to identify how jigsaw classrooms improve peer facilitated tutorials in materials science

description: In this study, the jigsaw method is abstracted from the <em>collaborate</em> section of the new pedagogy- CACPLA (Communicate, Active, Collaborate, Problem-based Solving, Learning and Assessment), and assisted with tutorials and peer facilitated studies on elasticity. The broad subject was sub-divided into subsections such as: stress and strain in engineering materials, elasticity hysteresis, Hooke's law, stress tensors, bulk modulus, modulus of elasticity, and young modulus. Based on these subtopics, each of the 7 sub-groups were entrusted with creating scenarios for solving actual problems. The case-studies on how the collated jigsaw pieces were useful to support the students and create in-depth knowledge on the subject matter are embeded in the uploaded datasets.
DOI: 10.4121/21667796
title: Data underlying the publication: Measuring fatigue damage growth of spot welded thermoplastic composites using Digital Image Correlation.

description: This dataset was obtained during a series of fatigue tests on single lap shear specimens with a single circular spot weld. It contains the results of Digital Image Correlation (DIC) measurements and processing, cyclic loading data and the data from the figures in the corresponding publication. The data was used to evaluate the damage growth during the fatigue life of the specimens. <br> This data is made public to allow other researchers to use it in their own work. <br>
DOI: 10.4121/13205171
title: Supplementary data for the Reconstruction of the 3D pressure field of a Taylor droplet in a micro-channel

description: The experimental investigation of viscous Taylor droplet moving in a rectangular microchannel leads to an interface model of the Taylor droplet, a 3D-velocity field of the flow inside and outside the Taylor droplet, and the associated reconstruction of the pressure and energy dissipation field of the flow.
DOI: 10.4121/13205171.v1
title: Supplementary data for the Reconstruction of the 3D pressure field of a Taylor droplet in a micro-channel

description: The experimental investigation of viscous Taylor droplet moving in a rectangular microchannel leads to an interface model of the Taylor droplet, a 3D-velocity field of the flow inside and outside the Taylor droplet, and the associated reconstruction of the pressure and energy dissipation field of the flow.
DOI: 10.4121/20555505
title: The balance between openness and privacy for health data collected through citizen science: various perspectives

description: Transcript of a 1.5 hour focus group discussion with 2 citizens, a data steward, an ethicist and a citizen science researcher. The group discussed their willingness to share data collected in citizen science for health projects in repositories, the desired level of openness, and how data sharing policies should be communicated with participants in the research projects. The discussion was held in Dutch, an English translation (translated by the reseachers themselves) is also available. A public summary of the results can be found through this link: https://www.topfitcitizenlab.nl/wp-content/uploads/2022/02/Outcomes-focusgroup-FAIR-and-privacy_english-1.pdf The project was carried out as part of the TOPFIT Citizenlab, a fieldlab focusing on citizen science for health and wellbeing.
DOI: 10.4121/20531376.v1
title: Scripts and data for "Rarest rainfall events will see the greatest relative increase in magnitude under future climate change"

description: This dataset contains the python scripts and data (netcdf and csv) to recreate the figures of the manuscript: Gründemann, GJ, van de Giesen, N, Brunner, L, and van der Ent, R (2022). Rarest rainfall events will have the greatest relative increase in magnitude under future climate change. <em>Nature Communications Earth and Environment</em> <strong>3</strong>, 235. https://doi.org/10.1038/s43247-022-00558-8.
DOI: 10.4121/20531376
title: Scripts and data for "Rarest rainfall events will see the greatest relative increase in magnitude under future climate change"

description: This dataset contains the python scripts and data (netcdf and csv) to recreate the figures of the manuscript: Gründemann, GJ, van de Giesen, N, Brunner, L, and van der Ent, R (2022). Rarest rainfall events will have the greatest relative increase in magnitude under future climate change. <em>Nature Communications Earth and Environment</em> <strong>3</strong>, 235. https://doi.org/10.1038/s43247-022-00558-8.
DOI: 10.4121/17185607.v1
title: Data underlying the study on Engineering class-B vitamin biosynthesis in Saccharomyces cerevisiae

description: <i>Saccharomyces cerevisiae</i> is bradytroph for class B vitamins, it means that yeast cells exhibit slower growth in the absence of an external source of these metabolites. Alleviating these nutritional requirements for optimal growth performance would represent a valuable phenotypic characteristic for industrial strains since this would result in cheaper processes that would also be less susceptible to contaminations. In the present study, suboptimal growth of <i>S. cerevisiae</i> in absence of either pantothenic acid, <i>para</i>-aminobenzoic acid (<i>p</i>ABA), pyridoxine, inositol and biotin were corrected by single or double gene overexpression of native <i>FMS1</i>, <i>ABZ1</i>/<i>ABZ2</i>, <i>SNZ1</i>/<i>SNO1</i>, <i>INO1</i> and the <i>Cyberlindnera fabianii BIO1</i>, respectively. Several strategies were attempted to improve growth of <i>S. cerevisiae</i> CEN.PK113-7D in absence of thiamine, revealing that overexpression of <i>THI4</i> and <i>THI4</i>/<i>THI5</i> was able to improve growth up to 83% of the maximum specific growth rate of the reference CEN.PK113-7D in medium including all vitamins. Although the initial aim of this study was to combine all identified mutations in a single strain, the engineered strain IMX2210 only harboured genes to correct biotin, <i>p</i>ABA, pantothenate and inositol bradotrophies. Firstly, this strain was fast-growing at a maximum specific growth rate of 0.28 ± 0.01 h<sup>-1</sup> in medium devoid of all vitamins. Secondly, this strain exhibited physiological variables in aerobic glucose limited chemostat cultures at a dilution rate of 0.1 h<sup>-1</sup> in absence of vitamins similar to that of the reference strain CEN.PK113-7D grown in the same conditions but in a fully supplemented complete medium. These physiological similarities were further emphasized by the limited differences observed in comparative transcriptome analysis from the chemostat culture grown cells that were essentially affecting genes of the class B vitamins biosynthetic pathways. This work paves the way towards construction of the first fast growing vitamin-independent <i>S. cerevisiae</i> strain.
DOI: 10.4121/17185607
title: Data underlying the study on Engineering class-B vitamin biosynthesis in Saccharomyces cerevisiae

description: <i>Saccharomyces cerevisiae</i> is bradytroph for class B vitamins, it means that yeast cells exhibit slower growth in the absence of an external source of these metabolites. Alleviating these nutritional requirements for optimal growth performance would represent a valuable phenotypic characteristic for industrial strains since this would result in cheaper processes that would also be less susceptible to contaminations. In the present study, suboptimal growth of <i>S. cerevisiae</i> in absence of either pantothenic acid, <i>para</i>-aminobenzoic acid (<i>p</i>ABA), pyridoxine, inositol and biotin were corrected by single or double gene overexpression of native <i>FMS1</i>, <i>ABZ1</i>/<i>ABZ2</i>, <i>SNZ1</i>/<i>SNO1</i>, <i>INO1</i> and the <i>Cyberlindnera fabianii BIO1</i>, respectively. Several strategies were attempted to improve growth of <i>S. cerevisiae</i> CEN.PK113-7D in absence of thiamine, revealing that overexpression of <i>THI4</i> and <i>THI4</i>/<i>THI5</i> was able to improve growth up to 83% of the maximum specific growth rate of the reference CEN.PK113-7D in medium including all vitamins. Although the initial aim of this study was to combine all identified mutations in a single strain, the engineered strain IMX2210 only harboured genes to correct biotin, <i>p</i>ABA, pantothenate and inositol bradotrophies. Firstly, this strain was fast-growing at a maximum specific growth rate of 0.28 ± 0.01 h<sup>-1</sup> in medium devoid of all vitamins. Secondly, this strain exhibited physiological variables in aerobic glucose limited chemostat cultures at a dilution rate of 0.1 h<sup>-1</sup> in absence of vitamins similar to that of the reference strain CEN.PK113-7D grown in the same conditions but in a fully supplemented complete medium. These physiological similarities were further emphasized by the limited differences observed in comparative transcriptome analysis from the chemostat culture grown cells that were essentially affecting genes of the class B vitamins biosynthetic pathways. This work paves the way towards construction of the first fast growing vitamin-independent <i>S. cerevisiae</i> strain.
DOI: 10.5281/zenodo.6850185
title: Analysis of the main answers to the survey questions [English version] / Análise das principais respostas às questões do survey [Versão em Português]

description: Resultados da aplicação do Survey (https://doi.org/10.5281/zenodo.6850089) com funcionários de uma empresa de TI do Sertão Setentrional de Pernambuco em 2022, com nome preservado. Results of the application of the Survey (https://doi.org/10.5281/zenodo.6850089) with employees of an IT company in the Northern Sertão of Pernambuco in 2022, with preserved name.
DOI: 10.5281/zenodo.6850186
title: Analysis of the main answers to the survey questions [English version] / Análise das principais respostas às questões do survey [Versão em Português]

description: Resultados da aplicação do Survey (https://doi.org/10.5281/zenodo.6850089) com funcionários de uma empresa de TI do Sertão Setentrional de Pernambuco em 2022, com nome preservado. Results of the application of the Survey (https://doi.org/10.5281/zenodo.6850089) with employees of an IT company in the Northern Sertão of Pernambuco in 2022, with preserved name.
DOI: 10.6084/m9.figshare.3761562.v2436
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc2b7592
title: CCDC 2151843: Experimental Crystal Structure Determination

description: Related Article: Gaignard-Gaillard, Quentin, Alix, Aurelien, Guillot, Régis, Voituriez, Arnaud, Bour, Christophe, Gandon, Vincent|2022|Adv.Synth.Catal.|364|4415|doi:10.1002/adsc.202200828
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b75b3
title: CCDC 2151844: Experimental Crystal Structure Determination

description: Related Article: Gaignard-Gaillard, Quentin, Alix, Aurelien, Guillot, Régis, Voituriez, Arnaud, Bour, Christophe, Gandon, Vincent|2022|Adv.Synth.Catal.|364|4415|doi:10.1002/adsc.202200828
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc286wr4
title: CCDC 2091996: Experimental Crystal Structure Determination

description: Related Article: Hao Li, Pu Wang, Chen Zhu, Wei Zhang, Meng Zhou, San Zhang, Chunfeng Zhang, Yapei Yun, Xi Kang, Yong Pei, Manzhou Zhu|2022|J.Am.Chem.Soc.|144|23205|doi:10.1021/jacs.2c11341
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.5829452
title: Data and software for "Multi-scale variability of turbulent mixing during a Monsoon Intraseasonal Oscillation in the Bay of Bengal: an LES study"

description: LES data outputs
DOI: 10.5281/zenodo.6622078
title: Data and software for "Multi-scale variability of turbulent mixing during a Monsoon Intraseasonal Oscillation in the Bay of Bengal: an LES study"

description: LES data outputs
DOI: 10.5281/zenodo.5829451
title: Data and software for "Multi-scale variability of turbulent mixing during a Monsoon Intraseasonal Oscillation in the Bay of Bengal: an LES study"

description: LES data outputs
DOI: 10.5281/zenodo.6622099
title: Data and software for "Multi-scale variability of turbulent mixing during a Monsoon Intraseasonal Oscillation in the Bay of Bengal: an LES study"

description: LES data outputs