cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c59p2wg9b
title: MassIVE MSV000092012 - Comparative Analysis of Spike-Specific IgG Fc Glycoprofiles Elicited by Adenoviral, mRNA, and Protein-based SARS-CoV-2 Vaccines
title: Raw RP-LC-MS data corresponding to anti-Spike protein specific and total IgG Fc N-glycosylation analysis in SARS-CoV-2 vaccination.
DOI: 10.5519/qd.xbihhfq1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1775 records)
DOI: 10.6084/m9.figshare.23057804
title: Supplementary tables.xlsx

description: Supplementary Tables
DOI: 10.6084/m9.figshare.23057804.v1
title: Supplementary tables.xlsx

description: Supplementary Tables
DOI: 10.5281/zenodo.7962116
title: Rogues, villains, and eccentrics - network analysis dataset

description: The dataset used for the study: Rogues, villains, and eccentrics – network analysis of schizotypy indicators.
DOI: 10.5281/zenodo.7962117
title: Rogues, villains, and eccentrics - network analysis dataset

description: The dataset used for the study: Rogues, villains, and eccentrics – network analysis of schizotypy indicators.
DOI: 10.5517/ccdc.csd.cc289zl5
title: CCDC 2094967: Experimental Crystal Structure Determination

description: Related Article: Taylor B. Young, Owaen G. Guppy, Alysia J. Draper, Joshua M. Whitington, Benson M. Kariuki, Alison Paul, Mark Eaton, Simon J. A. Pope, Benjamin D. Ward|2023|Polym.Chem.|14|2478|doi:10.1039/D3PY00209H
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.cc289zm6
title: CCDC 2094968: Experimental Crystal Structure Determination

description: Related Article: Taylor B. Young, Owaen G. Guppy, Alysia J. Draper, Joshua M. Whitington, Benson M. Kariuki, Alison Paul, Mark Eaton, Simon J. A. Pope, Benjamin D. Ward|2023|Polym.Chem.|14|2478|doi:10.1039/D3PY00209H
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.cc289zn7
title: CCDC 2094969: Experimental Crystal Structure Determination

description: Related Article: Taylor B. Young, Owaen G. Guppy, Alysia J. Draper, Joshua M. Whitington, Benson M. Kariuki, Alison Paul, Mark Eaton, Simon J. A. Pope, Benjamin D. Ward|2023|Polym.Chem.|14|2478|doi:10.1039/D3PY00209H
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: 10.25381/cput.22673737
title: Exercise for adults with Intellectual Disability

description: Ethical clearance number: CPUT/HWS-REC 2022/S12 The data has 42 observations. There are 15 exercise tests that was conducted on adults with Intellectual Disability. For all variables there is a 'pre' values and a 'post' value, as well as a 'diff' value (post-pre). There is a variable called 'group'. The binary coded 1 is the Exercise Group and the 2 is the Control group. Names have been deidentified. The variables are age, group, height, weight, BMI, waist circumference, hip circumference, waist to hip ratio, 6 minutes walk distance test, chair stand test, modified curl up test, Standing on one leg test, Balance Beam test (walking on balance beam), 16 meter Bleep (Pacer) test, Sit and Reach Flexibility Test, Isometric push up test).
DOI: 10.25381/cput.22673737.v1
title: Exercise for adults with Intellectual Disability

description: Ethical clearance number: CPUT/HWS-REC 2022/S12 The data has 42 observations. There are 15 exercise tests that was conducted on adults with Intellectual Disability. For all variables there is a 'pre' values and a 'post' value, as well as a 'diff' value (post-pre). There is a variable called 'group'. The binary coded 1 is the Exercise Group and the 2 is the Control group. Names have been deidentified. The variables are age, group, height, weight, BMI, waist circumference, hip circumference, waist to hip ratio, 6 minutes walk distance test, chair stand test, modified curl up test, Standing on one leg test, Balance Beam test (walking on balance beam), 16 meter Bleep (Pacer) test, Sit and Reach Flexibility Test, Isometric push up test).
DOI: 10.4121/bea8a3fe-e34c-4598-9f94-c5a5c63348e5
title: Data accompanying the manuscript "Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53"

description: This dataset includes results data of the publication titled "Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53", which contains the average temperature response over 20 years estimated by the algorithmic climate change functions (aCCFs). The data has been produced by running the submodel ACCF v1.0 and the submodel AirTraf 2.0 coupled with the ECHAM5 Atmospheric-Chemistry Model (EMAC) framework over a year from December 2015 to December 2016.
DOI: 10.4121/bea8a3fe-e34c-4598-9f94-c5a5c63348e5.v1
title: Data accompanying the manuscript "Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53"

description: This dataset includes results data of the publication titled "Predicting the climate impact of aviation for en-route emissions: The algorithmic climate change function submodel ACCF 1.0 of EMAC 2.53", which contains the average temperature response over 20 years estimated by the algorithmic climate change functions (aCCFs). The data has been produced by running the submodel ACCF v1.0 and the submodel AirTraf 2.0 coupled with the ECHAM5 Atmospheric-Chemistry Model (EMAC) framework over a year from December 2015 to December 2016.
DOI: 10.25381/cput.22630561
title: The impact of emotional intelligence as a motivator to facilitate successful execution of technological projects in the Cape Metropolis - Data Set

description: No | 2022_FBMSREC 036 <br> The dataset that I am uploading contains the following information: <br> - Professional biography of participants - A likehart scale that identifies the participants knowledge of emotional intelligence, project management, the impact of emotional intelligence on daily operations, motivation and followership. - Open ended questions around emotional intelligence.
DOI: 10.25381/cput.22591291
title: FACTORS MOTIVATING TEAM PERFORMANCE TO MITIGATE CONSTRUCTION PROJECT FAILURE AT A SELECTED CONSTRUCTION SITE IN GEORGE

description: <strong>Clearance Certificate No | 2022_FBMSREC 030</strong> Data set consist of the following items: The participants responses which was constructed using a questionnaire which where innitially distributed and because of COVID-19 were converted into a google forms link (attached) for ease of reference and dsitribution. Interview for Construction Professionals Construction Worker questionnaire to capture their responses Exel spreedsheet which consists of the participants responses which was cleared and imported to SPSS software
DOI: 10.5281/zenodo.7957915
title: Vandermonde Neural Operators: Burgers and shear layer data

description: The burgers.tar.gz file contains the data used in the numerical experiments on Burgers' equation. Uniform corresponds to the uniform distribition, conexp to the contracting-expanding distribution, and rand to the random distribution. The ddsl.tar.gz file contains all the data used in the numerical experiments on the shear layer problem.
DOI: 10.5281/zenodo.7957914
title: Vandermonde Neural Operators: Burgers and shear layer data

description: The burgers.tar.gz file contains the data used in the numerical experiments on Burgers' equation. Uniform corresponds to the uniform distribition, conexp to the contracting-expanding distribution, and rand to the random distribution. The ddsl.tar.gz file contains all the data used in the numerical experiments on the shear layer problem.
DOI: 10.48428/adattar/zeglcc
title: COVID19_Attitudes_Protection

description: Summary data _ Explicit and implicit attitude_COVIDexperiences_demographic_protective intentions
DOI: 10.25345/c5610w27r
title: MassIVE MSV000092013 - The dataset for the SuFEx PROJECT
title: The dataset is for SuFEx project to prove the results that we got in the paper. These data involve the modifications of proteins and peptides.
DOI: 10.21949/1528611
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, 48 Evacuation Videos
DOI: 10.21949/1528612
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 01 video
DOI: 10.21949/1528613
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 02 video
DOI: 10.21949/1528614
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 03 video
DOI: 10.21949/1528615
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 04 video
DOI: 10.21949/1528616
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 05 video
DOI: 10.21949/1528617
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 06 video
DOI: 10.21949/1528618
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 07 video
DOI: 10.21949/1528619
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 08 video
DOI: 10.21949/1528620
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 09 video
DOI: 10.21949/1528621
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 10 video
DOI: 10.21949/1528622
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 11 video
DOI: 10.21949/1528623
title: Effects of Airplane Cabin Interiors on Egress I: Assessment of Anthropometrics, Seat Pitch, and Seat Width on Egress, DOT/FAA/AM-21/01, Seat Mockup Day 12 video
DOI: 10.25381/cput.22492549
title: Structural impediments hampering career development of women to senior management as a selected construction site in Cape Metropolis

description: 2022_FBMSREC 006 <br> This is data that was used for my study. The data is in the form of tabulation.
DOI: 10.25381/cput.22492549.v1
title: Structural impediments hampering career development of women to senior management as a selected construction site in Cape Metropolis

description: 2022_FBMSREC 006 <br> This is data that was used for my study. The data is in the form of tabulation.
DOI: 10.6084/m9.figshare.23095533
title: Functional attributes of bioactive peptides of bovine milk origin and application of <i>in silico</i> approaches for peptide prediction and functional annotations

description: Bovine milk peptides are the protein fragments with diverse bioactive properties having antioxidant, anticarcinogenic, other therapeutic and nutraceutical potentials. These peptides are formed in milk by enzymatic hydrolysis, gastrointestinal digestion and fermentation processes. They have significant health impact with high potency and low toxicity making them a suitable natural alternative for preventing and managing diseases. Antibiotic resistance has increased the quest for better peptide candidates with antimicrobial effects. This article presents a comprehensive review on well documented antimicrobial, immunological, opioid, and anti-hypertensive activities of bovine milk peptides. It also covers the usage of computational biology tools and databases for prediction and analysis of the food-derived bioactive peptides. <i>In silico</i> analysis of amino acid sequences of <i>Bos taurus</i> milk proteins have been predicted to generate peptides with dipeptidyl peptidase IV inhibitory and ACE inhibitory properties, making them favorable candidates for developing blood sugar lowering drugs and anti-hypertensives. In addition to the prediction of new bioactive peptides, application of bioinformatics tools to predict novel functions of already known peptides is also discussed. Overall, this review focuses on the reported as well as predicted biologically active peptide of casein and whey proteins of bovine milk that can be utilized to develop therapeutic agents.
DOI: 10.6084/m9.figshare.23095533.v1
title: Functional attributes of bioactive peptides of bovine milk origin and application of <i>in silico</i> approaches for peptide prediction and functional annotations

description: Bovine milk peptides are the protein fragments with diverse bioactive properties having antioxidant, anticarcinogenic, other therapeutic and nutraceutical potentials. These peptides are formed in milk by enzymatic hydrolysis, gastrointestinal digestion and fermentation processes. They have significant health impact with high potency and low toxicity making them a suitable natural alternative for preventing and managing diseases. Antibiotic resistance has increased the quest for better peptide candidates with antimicrobial effects. This article presents a comprehensive review on well documented antimicrobial, immunological, opioid, and anti-hypertensive activities of bovine milk peptides. It also covers the usage of computational biology tools and databases for prediction and analysis of the food-derived bioactive peptides. <i>In silico</i> analysis of amino acid sequences of <i>Bos taurus</i> milk proteins have been predicted to generate peptides with dipeptidyl peptidase IV inhibitory and ACE inhibitory properties, making them favorable candidates for developing blood sugar lowering drugs and anti-hypertensives. In addition to the prediction of new bioactive peptides, application of bioinformatics tools to predict novel functions of already known peptides is also discussed. Overall, this review focuses on the reported as well as predicted biologically active peptide of casein and whey proteins of bovine milk that can be utilized to develop therapeutic agents.
DOI: 10.6084/m9.figshare.22257313
title: Building Community for Participatory Modeling: Network Composition, Trust, and Adaptive Process Design

description: Complex environmental problems span multiple disciplines and scales of inquiry. Discovering solutions requires inclusive problem-solving spaces. Participatory modeling represents a collaborative research approach that engages stakeholders to co-produce knowledge and problem responses. Scholarship largely features the results of scientific modeling. Lacking are assessments of the nature of participant engagement and collaboration. Our paper offers insights on how to structure, support, and evaluate interactive spaces for participatory modeling, especially during the initial (community building) phase of projects when collaborative culture is established. The Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) convenes stakeholders in the Southeast US from farming, forestry, government, conservation, and academia. We explore network assembly, trust diversity, and iterative process design in FACETS. Through longitudinal reflexive monitoring facilitators appreciate the range of participant needs, integrate feedback into agenda design, and catalyze group reflection.
DOI: 10.6084/m9.figshare.22257313.v1
title: Building Community for Participatory Modeling: Network Composition, Trust, and Adaptive Process Design

description: Complex environmental problems span multiple disciplines and scales of inquiry. Discovering solutions requires inclusive problem-solving spaces. Participatory modeling represents a collaborative research approach that engages stakeholders to co-produce knowledge and problem responses. Scholarship largely features the results of scientific modeling. Lacking are assessments of the nature of participant engagement and collaboration. Our paper offers insights on how to structure, support, and evaluate interactive spaces for participatory modeling, especially during the initial (community building) phase of projects when collaborative culture is established. The Floridan Aquifer Collaborative Engagement for Sustainability (FACETS) convenes stakeholders in the Southeast US from farming, forestry, government, conservation, and academia. We explore network assembly, trust diversity, and iterative process design in FACETS. Through longitudinal reflexive monitoring facilitators appreciate the range of participant needs, integrate feedback into agenda design, and catalyze group reflection.
DOI: 10.6084/m9.figshare.23095556
title: Prediction of soil ecotoxicity against <i>Folsomia candida</i> using acute and chronic endpoints

description: Soil invertebrates serve as great biological indicators of soil quality. However, there are very few in silico models developed so far on the soil toxicity of chemicals against soil invertebrates due to paucity of data. In this study, three available soil ecotoxicity data (pLC<sub>50</sub>, pLOEL and pNOEL) against the soil invertebrate <i>Folsomia candida</i> were collected from the ECOTOX database (cfpub.epa.gov/ecotox) and subjected to quantitative structure-activity relationship (QSAR) analysis using 2D descriptors. The collected data for each endpoint were initially curated and used to develop a partial least squares (PLS) regression model based on the features selected through a genetic algorithm followed by the best subset selection. Both internal and external validation metrics of the models’ predictions are well-balanced and within the acceptable range as per the Organization for the Economic Cooperation and Development (OECD) criteria. From the developed models, it has been found that molecular weight and presence of phosphate group, electron donor groups, and polyhalogen substitution have a significant impact on the soil ecotoxicity. The soil ecotoxicological risk assessment of organic chemicals can therefore be prioritized by these features. With the availability of additional data in the future, the models may be further refined for more precise predictions.
DOI: 10.6084/m9.figshare.23095556.v1
title: Prediction of soil ecotoxicity against <i>Folsomia candida</i> using acute and chronic endpoints

description: Soil invertebrates serve as great biological indicators of soil quality. However, there are very few in silico models developed so far on the soil toxicity of chemicals against soil invertebrates due to paucity of data. In this study, three available soil ecotoxicity data (pLC<sub>50</sub>, pLOEL and pNOEL) against the soil invertebrate <i>Folsomia candida</i> were collected from the ECOTOX database (cfpub.epa.gov/ecotox) and subjected to quantitative structure-activity relationship (QSAR) analysis using 2D descriptors. The collected data for each endpoint were initially curated and used to develop a partial least squares (PLS) regression model based on the features selected through a genetic algorithm followed by the best subset selection. Both internal and external validation metrics of the models’ predictions are well-balanced and within the acceptable range as per the Organization for the Economic Cooperation and Development (OECD) criteria. From the developed models, it has been found that molecular weight and presence of phosphate group, electron donor groups, and polyhalogen substitution have a significant impact on the soil ecotoxicity. The soil ecotoxicological risk assessment of organic chemicals can therefore be prioritized by these features. With the availability of additional data in the future, the models may be further refined for more precise predictions.
DOI: 10.25381/cput.22442059
title: Prioritising arts and culture activities within the Saldanha Bay Municipality, South Africa

description: 2018FBREC562 <br> A qualitative research approach was followed. This subsequently prompted interviews and questionnaires to be used as research tools to obtain the necessary data pertaining this research project. <br> Informed consent and permissions from the research environment (Saldanha Bay Municipality, teachers, principals and research participants) were obtained prior to collecting the research data. <br> Adherence to the above is confirmed. <br> <br> <br> <br> <br> <br> <br>
DOI: 10.25381/cput.22442059.v1
title: Prioritising arts and culture activities within the Saldanha Bay Municipality, South Africa

description: 2018FBREC562 <br> A qualitative research approach was followed. This subsequently prompted interviews and questionnaires to be used as research tools to obtain the necessary data pertaining this research project. <br> Informed consent and permissions from the research environment (Saldanha Bay Municipality, teachers, principals and research participants) were obtained prior to collecting the research data. <br> Adherence to the above is confirmed. <br> <br> <br> <br> <br> <br> <br>
DOI: 10.25381/cput.22439122
title: Factors responsible for employee turnover at a domestic outsourcer call centre organisation in the Cape Metropolis

description: Ethics clearance reference number: 2022FBMSREC023 <br> This study set out to investigate the factors influencing staff turnover at a domestic outsourcer call centre. The goal of this study was to identify the factors that influence employee turnover both from within and outside of the workplace. Using Zoho Survey, the questionnaire was made available online and this proved to be much easier than hard copy distribution. Zoho Analytics, a data analytics tool that parses raw data into usable insights, was used to classify, edit, code, and analyse the acquired data. This software is used for both batch and non-batch statistical analysis that is organized and logical.
DOI: 10.5517/ccdc.csd.cc2698mf
title: CCDC 2034704: Experimental Crystal Structure Determination

description: Related Article: Liang‐Jin Xu, Anna Plaviak, Xinsong Lin, Michael Worku, Qingquan He, Maya Chaaban, Bumjoon J. Kim, Biwu Ma|2020|Angew.Chem.,Int.Ed.|59|23067|doi:10.1002/anie.202010555
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: 10.34740/kaggle/dsv/5753022
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7962180
title: SciExpeM - 10.5281/zenodo.7962180

description: Sun, Wenyu, 0000-0002-3521-3327; Tao, Tao; Lailliau, Maxence, 0000-0002-7758-3756; Hansen, Nils; Yang, Bin, 0000-0001-7333-0017; Dagaut, Philippe - Combustion And Flame, 2018, (193), 491-501