cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12848306.v1
title: Creative approach to tourism through creative approach to didactics

description: The relationships between creativity and tourism are commonly discussed. The article, rooted in the experience of post-soviet countries, presents an experiment carried out within the course “Creativity in tourism” at the University of Łódź, Poland. The objective was to perform two psychometric tests to verify the level of students’ creativity: Test of Creative Imagination and “Creative <i>versus</i> Imitative Attitude Scale Test”. The aim was to answer the research question: may the introduction of the element(s) of creative pedagogy impact creativity of students. The main objective of this paper is to prove the necessity of taking similar actions and including methods and tools from the creative pedagogy framework in teaching processes at the academic level. The students achieved a high increase of fluent thinking. The high rate of the course given by the students may encourage looking for new solutions within the scope of stimulating creativity. The experiment thus constitutes an example of the introduction of a subject satisfying the needs of a dynamic job market and tourism into the academic teaching program.
DOI: 10.6084/m9.figshare.12848312.v1
title: Active learning using a smartphone app: analysing land use patterns in Cork City, Ireland

description: Opportunities to deploy digital technologies to research agendas and active learning in tertiary education are becoming more widespread. Despite this, many research techniques are still taught using traditional “pen-and-paper” methodologies. In this article, we report on a strategy for integrating mobile technology into our large (275+) module <i>GG1015 Applied Geography</i>, via the use of smartphones and the ESRI Collector for ArcGIS app. Focus groups identified three common themes among students in response to using this mobile technology in geographic research. Our findings suggest that digital technologies can enhance active learning in geography for all students. Similarly, such activities should not only be reserved for small groups, and can be up-scaled for larger class sizes, particularly when using new technologies. Finally, we illustrate how the use of technology in a group setting can foster teamwork, peer-to-peer learning, and positively reinforce the uptake of digital technology in geographic fieldwork.
DOI: 10.6084/m9.figshare.12659891
title: Code for modelling border control interventions for preventing COVID-19 outbreaks.

description: This data record contains a single code file <b>Travel_AU_to_NZ (Pascal code).pas</b>, in .pas file format.The file contains the computer code (in Pascal) for modelling travel from Australia to New Zealand, and border control interventions for preventing COVID-19 outbreaks.<br><b>Study aims and methodology:</b>The aim of this study was to estimate the risk of COVID-19 outbreaks associated with increased air travel from Australia to New Zealand, along with the likely impact of various control measures that could be used to minimise the risk of such outbreaks.The authors used a stochastic SEIR type model with key compartments for: susceptible [S], exposed [E], infected [I], and recovered/removed [R]. The model is a stochastic version of CovidSIM which was developed specifically for COVID-19 (http://covidsim.eu; version 1.1).For more details on the methodology, please read the related article.<br><br>
DOI: 10.6084/m9.figshare.12659891.v1
title: Code for modelling border control interventions for preventing COVID-19 outbreaks.

description: This data record contains a single code file <b>Travel_AU_to_NZ (Pascal code).pas</b>, in .pas file format.The file contains the computer code (in Pascal) for modelling travel from Australia to New Zealand, and border control interventions for preventing COVID-19 outbreaks.<br><b>Study aims and methodology:</b>The aim of this study was to estimate the risk of COVID-19 outbreaks associated with increased air travel from Australia to New Zealand, along with the likely impact of various control measures that could be used to minimise the risk of such outbreaks.The authors used a stochastic SEIR type model with key compartments for: susceptible [S], exposed [E], infected [I], and recovered/removed [R]. The model is a stochastic version of CovidSIM which was developed specifically for COVID-19 (http://covidsim.eu; version 1.1).For more details on the methodology, please read the related article.<br><br>
DOI: 10.5281/zenodo.4736437
title: The detailed information about the tasks to calculate the cycle time

description: This document is prepared to use for the academic research titled "Business process optimization in online educational platforms within the scope of localization and its impact on the learning experience of students: localization of Khan Academy content into Azerbaijani" by Ayaz Karimov, Irene-Angelica Chounta, Alexander Nolte.
DOI: 10.5281/zenodo.4736436
title: The detailed information about the tasks to calculate the cycle time

description: This document is prepared to use for the academic research titled "Business process optimization in online educational platforms within the scope of localization and its impact on the learning experience of students: localization of Khan Academy content into Azerbaijani" by Ayaz Karimov, Irene-Angelica Chounta, Alexander Nolte.
DOI: 10.5281/zenodo.4733940
title: 2018 cold spell over central England Attribution Study Data

description: <strong>Copernicus climate attribution service: 2018 cold spell over central England attribution study research data</strong>
DOI: 10.5281/zenodo.4733939
title: 2018 cold spell over central England Attribution Study Data

description: <strong>Copernicus climate attribution service: 2018 cold spell over central England attribution study research data</strong>
DOI: 10.5281/zenodo.4736447
title: dbMMR-Chinese database: the first public database of DNA mismatch repair gene variation in Chinese population

description: Mutation in DNA mismatch repair genes (MMR) is the genetic predisposition for multiple types of cancer as represented by the Lynch syndrome. Identification of MMR mutation carrier without cancer is critical for their cancer prevention and these with cancer for effective treatment. China has the largest population size and the largest cancer cases in the world. However, comprehensive MMR mutation knowledge in this population remains elusive. We performed an extensive data mining, standardization, and annotation for MMR variation data derived from 53,917 Chinese individuals, including 25,013 cancer cases and 28,904 non-cancer cases. We identified 21,376 distinct MMR variants including 1,894 in coding regions and19,482 in non-coding regions in four MMR genes of <em>MLH1</em>, <em>MSH2</em>, <em>MSH6</em> and <em>PMS2</em>. Using the data, we developed an open-access public database dbMMR-Chinese (https://dbMMR-chinese.fhs.um.edu.mo), which is the largest one from a single non-Caucasian ethnic population.
description: https://dbMMR-chinese.fhs.um.edu.mo
DOI: 10.5281/zenodo.4736446
title: dbMMR-Chinese database: the first public database of DNA mismatch repair gene variation in Chinese population

description: Mutation in DNA mismatch repair genes (MMR) is the genetic predisposition for multiple types of cancer as represented by the Lynch syndrome. Identification of MMR mutation carrier without cancer is critical for their cancer prevention and these with cancer for effective treatment. China has the largest population size and the largest cancer cases in the world. However, comprehensive MMR mutation knowledge in this population remains elusive. We performed an extensive data mining, standardization, and annotation for MMR variation data derived from 53,917 Chinese individuals, including 25,013 cancer cases and 28,904 non-cancer cases. We identified 21,376 distinct MMR variants including 1,894 in coding regions and19,482 in non-coding regions in four MMR genes of <em>MLH1</em>, <em>MSH2</em>, <em>MSH6</em> and <em>PMS2</em>. Using the data, we developed an open-access public database dbMMR-Chinese (https://dbMMR-chinese.fhs.um.edu.mo), which is the largest one from a single non-Caucasian ethnic population.
description: https://dbMMR-chinese.fhs.um.edu.mo
DOI: 10.14278/rodare.970
title: Dataset: Method for real-time controlled tissue theranostics using a single adaptable laser source

description: Raw data of theranostics laser parameters and calculated descriptor values from FLIM (Fluorescence lifetime imaging microscopy) and AF (autofluorescence) retinal diagnostics for real-time quantification of the treatment effect.
DOI: 10.14278/rodare.969
title: Dataset: Method for real-time controlled tissue theranostics using a single adaptable laser source

description: Raw data of theranostics laser parameters and calculated descriptor values from FLIM (Fluorescence lifetime imaging microscopy) and AF (autofluorescence) retinal diagnostics for real-time quantification of the treatment effect.
DOI: 10.6084/m9.figshare.13102670.v2
title: 12S-DB-All_Sequences

description: 12S Gene part from MARE MAGE database<br>
DOI: 10.17632/m73nx5gfb6.1
title: Diagnostic Accuracy of Pelvic Ultrasonography in Differentiating Precocious Puberty from Premature Thelarche

description: Supplemental materials
DOI: 10.6084/m9.figshare.13102691.v1
title: COI-all sequences DB

description: MARE MAGE database coi gene all sequences subdatabase<br>
DOI: 10.34740/kaggle/dsv/2191004
title: Bolsonaro Votes 18 by UF x COVID Deaths
DOI: 10.5281/zenodo.4736538
title: Dataset generated by repeated runs of Stochastic Fictitious Play.

description: This dataset has been created by running Nashpy's Stochastic Fictitious Play algorithm on a randomly generated 2x3 game, for 10,000 iterations and checking the last 500 iterations for convergence. This was repeated for different values of etha and epsilon_bar, which are arguments passed to the Stochastic Fictitious Play algorithm, and for different tolerance values which are used to check convergence.
DOI: 10.5281/zenodo.4736537
title: Dataset generated by repeated runs of Stochastic Fictitious Play.

description: This dataset has been created by running Nashpy's Stochastic Fictitious Play algorithm on a randomly generated 2x3 game, for 10,000 iterations and checking the last 500 iterations for convergence. This was repeated for different values of etha and epsilon_bar, which are arguments passed to the Stochastic Fictitious Play algorithm, and for different tolerance values which are used to check convergence.
DOI: 10.6084/m9.figshare.14362850
title: Metadata record for the manuscript: Treatment Scheduling Effects on Evolution of Drug Resistance in Heterogeneous Cancer Cell Populations

description: <b>Summary</b> This metadata record provides details of the data supporting the claims of the related manuscript: “Treatment Scheduling Effects on Evolution of Drug Resistance in Heterogeneous Cancer Cell Populations”. The related study evaluated crizotinib (ALK/MET inhibitor) and navitoclax (ABT-263; BCL2/BCL-XL inhibitor) combinations in a large design consisting of 696 two-cycle sequential and concomitant treatment regimens with varying treatment dose, duration, and drug holiday length over a 26-day period in MDA-MB-231 TNBC cells. Type of data: DNA barcoding, single-cell RNA sequencing Subject of data: Eukaryotic cell lines <b>Data access</b> All DNA barcoding data and single-cell sequencing data generated in this study have been deposited in the <i>Sequence Read Archive</i> under project accession number https://identifiers.org/ncbi/insdc.sra:SRP259903 (<i>BioProject</i> accession: PRJNA630413). The data underlying Supplementary Figure 3 Panel A & B are openly available from the Cancer Cell Line Encyclopedia (CCLE) at https://portals.broadinstitute.org/ccle. Other datafiles underlying the related manuscript are shared openly as part of this data record. A detailed list of which of these files underlies which manuscript element (figures, supplementary figures, etc) is included in the file ‘Patwardhan_et_al_2021_underlying_data_list.xlsx’. <b>Corresponding author(s) for this study</b> Christos Hatzis, Ph.D., Department of Internal Medicine, Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, christos.hatzis@yale.edu<br> <br> <b></b> <br>
DOI: 10.6084/m9.figshare.14362850.v1
title: Metadata record for the manuscript: Treatment Scheduling Effects on Evolution of Drug Resistance in Heterogeneous Cancer Cell Populations

description: <b>Summary</b> This metadata record provides details of the data supporting the claims of the related manuscript: “Treatment Scheduling Effects on Evolution of Drug Resistance in Heterogeneous Cancer Cell Populations”. The related study evaluated crizotinib (ALK/MET inhibitor) and navitoclax (ABT-263; BCL2/BCL-XL inhibitor) combinations in a large design consisting of 696 two-cycle sequential and concomitant treatment regimens with varying treatment dose, duration, and drug holiday length over a 26-day period in MDA-MB-231 TNBC cells. Type of data: DNA barcoding, single-cell RNA sequencing Subject of data: Eukaryotic cell lines <b>Data access</b> All DNA barcoding data and single-cell sequencing data generated in this study have been deposited in the <i>Sequence Read Archive</i> under project accession number https://identifiers.org/ncbi/insdc.sra:SRP259903 (<i>BioProject</i> accession: PRJNA630413). The data underlying Supplementary Figure 3 Panel A & B are openly available from the Cancer Cell Line Encyclopedia (CCLE) at https://portals.broadinstitute.org/ccle. Other datafiles underlying the related manuscript are shared openly as part of this data record. A detailed list of which of these files underlies which manuscript element (figures, supplementary figures, etc) is included in the file ‘Patwardhan_et_al_2021_underlying_data_list.xlsx’. <b>Corresponding author(s) for this study</b> Christos Hatzis, Ph.D., Department of Internal Medicine, Breast Medical Oncology, Yale Cancer Center, Yale University School of Medicine, 300 George Street, New Haven, CT 06511, christos.hatzis@yale.edu<br> <br> <b></b> <br>
DOI: 10.6084/m9.figshare.13102694.v1
title: COI-90DB

description: database MARE MAGE, the subdatabase 90 % confidency of COI gene<br>
DOI: 10.5281/zenodo.4736413
title: Monthly-varying PAH concentrations from the GEOS-Chem model

description: Results from a single GEOS-Chem simulation. Includes files diagnostic output for a 1 year simulation (2014) - ctm.201401 diaginfo.dat tracerinfo.dat compressed file (zip and tar)
DOI: 10.5281/zenodo.4736412
title: Monthly-varying PAH concentrations from the GEOS-Chem model

description: Results from a single GEOS-Chem simulation. Includes files diagnostic output for a 1 year simulation (2014) - ctm.201401 diaginfo.dat tracerinfo.dat compressed file (zip and tar)
DOI: 10.5517/ccdc.csd.cc27lq0l
title: CCDC 2073559: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27lq1m
title: CCDC 2073560: Experimental Crystal Structure Determination

description: Related Article: Kiran Avancha, Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27lq7t
title: CCDC 2073566: Experimental Crystal Structure Determination

description: Related Article: Kiran Avancha, Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27lqh2
title: CCDC 2073574: Experimental Crystal Structure Determination

description: Related Article: Kiran Avancha, Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27lqj3
title: CCDC 2073575: Experimental Crystal Structure Determination

description: Related Article: Kiran Avancha, Frank R. Fronczek|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27ls5t
title: CCDC 2073626: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Subhash Kumar Surapaneni, Stefan Schulz|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27ls6v
title: CCDC 2073627: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vincent Perl, Stefan Schulz|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27ls7w
title: CCDC 2073628: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vincent Perl, Stefan Schulz|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27ls8x
title: CCDC 2073629: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Vincent Perl, Stefan Schulz|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27lsyl
title: CCDC 2073650: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Paul K. Eggers, Colin L. Raston|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25bly2
title: CCDC 2006194: Experimental Crystal Structure Determination

description: Related Article: John M. Rimoldi, Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.14469/hpc/7263
title: Three-dimensional maps of multi-rate gas/liquid drainage in Indiana limestone

description: Experimental and modelling data associated with the publication entitled ‘A general capillary equilibrium model to describe drainage experiments in heterogeneous laboratory rock cores’. The data are three-dimensional maps of various properties on the Indiana limestone rock core investigated in the study. An additional README.txt file is provided with detailed information on the data set.
DOI: 10.14469/hpc/8143
title: Gastroenteritis Rehydration Of children with Severe Acute Malnutrition (GASTROSAM): A Phase II Randomised Controlled trial Trial Protocol

description: Spirit Checklist for Gastroenteritis Rehydration Of children with Severe Acute Malnutrition (GASTROSAM): A Phase II Randomised Controlled trial Trial Protocol
DOI: 10.17632/jg44fgspzk.1
title: Predictive Models on the 2013 NCDB Colon Cancer Data

description: The attached file contains R code which encompasses and describes the process of loading data, cleaning data, selecting variables, imputing missing values, creating training and test sets, model building and evaluation. Additionally, the code contains the process to create graphs and tables for data and model evaluation. The goal was to build a logistic regression model to predict outcomes after surgery for colon cancer and to compare its performance with machine learning algorithms. An XGBgoost model, a Random Forest model and an XGBoost model from oversampled data using SMOTE were built and compared with logistic regression. Overall, the machine learning algorithms had improved AUC.
DOI: 10.17632/9sxdykm8s4.2
title: Improving the Scopus and Aurora queries to identify research that supports the United Nations Sustainable Development Goals (SDGs) 2021

description: The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind. Since 2018, Elsevier have generated SDG search queries to help researchers and institutions track and demonstrate progress towards the targets of the United Nations Sustainable Development Goals (SDGs). At the end of 2018, Elsevier worked on 2 versions of the SDG queries. One version was created by the Elsevier Analytical Services group and another by the Science-Metrix group, who had recently become part of Elsevier. At that time Science-Metrix was creating queries for 5 of the 16 SDGs, as part of pro-bono work for UNESCO. In 2020 inspired by the earlier queries, Elsevier, through its Science-Metrix group, used a new approach to mapping publications to the SDGs. Taking customer feedback into account, they significantly increased the number of search terms used to define each SDG. Those queries were then complemented by a machine learning model, which helped increase the recall by approximately 10%. As a result, this year’s “Elsevier 2021 SDG mapping” captures on average twice as many articles as the 2020 version, while keeping precision above 80%. The mapping also has a better overlap with SDG queries from other independent projects. Times Higher Education (THE) are using the “Elsevier 2021 SDG mapping” as part of their 2021 Impact Rankings. The documentation below, describes the methods used and shares the queries.
DOI: 10.5281/zenodo.4736592
title: Palmyra Portrait Typology and Chronology

description: <strong>Palmyra Portrait Typology and Chronology</strong> Typology of Palmyrene Funerary Portraits elaborated by the Palmyra Portrait Project (PPP) on the basis of existing typologies (included) and dated objects (included). The PPP Project was led by Rubina Raja, UrbNet, Aarhus University, and funded by the Carlsberg Foundation.
DOI: 10.5281/zenodo.4736591
title: Palmyra Portrait Typology and Chronology

description: <strong>Palmyra Portrait Typology and Chronology</strong> Typology of Palmyrene Funerary Portraits elaborated by the Palmyra Portrait Project (PPP) on the basis of existing typologies (included) and dated objects (included). The PPP Project was led by Rubina Raja, UrbNet, Aarhus University, and funded by the Carlsberg Foundation.
DOI: 10.5281/zenodo.4730186
title: Adhesive_Chain_Extension_WP5_Dataset_5-1

description: ABSTRACT Polyurethanes are often produced by reacting a hydroxylated prepolymer with isocyanate crosslinkers. In order to obtain the prepolymer, a macrodiol is reacted with diisocyanate via the addition reaction between OH and NCO functional groups, so called chain-extension. During the experiments, two specific macrodiols were chain extended with two conventional diisocyanates as described in the proceedings article “Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols” Sandra Mačiulytė, Antanas Strakšys, S. Asadauskas<em>, Proc. “Baltic Polymer Symposium 2019”, </em>pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463 . Additional values of isocyanate concentrations, which were measured during kinetic studies of the chain extension, are provided.
description: DATASET This dataset contains the spreadsheet with the measured isocyanate concentrations along with the description of the procedures and metadata. This information is provided in the "Adhesive_Chain_Extension_WP5_Dataset_5-1.zip " file, which contains 3 compressed files: The spreadsheet file " Adhesive_Chain_Extension_WP5_Dataset_5-1.xls " contains measured NCO values, including those used for the figure Figure 1 in the proceedings article "Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols" Sandra Mačiulytė, Antanas Strakšys, S. Asadauskas, Proc. "Baltic Polymer Symposium 2019", pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463 . Each sheet in the spreadsheet file represents the data for specific diisocyanate at different temperatures. The " Adhesive_Chain_Extension_WP5_Dataset_5-1_Experimental.pdf " file details the materials and experimental methods for the measurement of NCO values. Guidance is also provided on how to run the experiments in other laboratories. The " Adhesive_Chain_Extension_WP5_Dataset_5-1_Metadata.pdf " provides more detailed metadata information for this dataset.
description: {"references": ["\"Influence of aliphatic moieties in diisocyanates on chain extension kinetics of adipate macrodiols\" Sandra Ma\u010diulyt\u0117, Antanas Strak\u0161ys, S. Asadauskas, Proc. \"Baltic Polymer Symposium 2019\", pg 40, Vilnius, Sept 20, 2019 http://www.bps2019.chgf.vu.lt/wp-content/uploads/2013/02/BPS2019_programme_and_proceedings2.pdf DOI: 10.5281/zenodo.3813463"]}