cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10609330
title: DS3. Characterization of POETICS Benes optical switch prototype (experimental data)

description: The dataset comprises experimental results from the experimental evaluation of POETICS Benes optical switch prototype, employing external transmitter and receiver based on bulk components. The transmitter consisted of an O-band optical laser source a Mach-Zehnder Modulator, driven electrically by an arbitrary waveform generator which generated NRZ and PAM-4 signals of different symbol rates, and an O-band SOA. After the optical switch, the receiver consisted of a second O-band SOA, an O-band optical filter and a photodetector. The electrical signals were captured through a real-time oscilloscope. Two different paths of within the optical switch were considered during testing, denoted as Path 1 and Path 2 respectively, with Path 1 exhibiting the best performance in terms of insertion losses. The captured signals are stored as .csv files, consisting of a voltage and a time vector. Attached with each .csv file is an image of the eye-diagram captured in real-time, through the real-time oscilloscope. The waveforms are accompanied by a “readme” file that describes more detailed technical information, as well as further details necessary for the processing of the data.
description: This set comprises experimental results from the performance evaluation of POETICS POE-4 32x32 3D PolyBoard based Benes switch prototype. The prototype was evaluated with reference external transmitters and receivers operating in the O-band. The experimental results provided in this dataset correspond to two different end-to-end optical paths chosen for the switch. For each path, the dataset contains results with different modulation formats and symbol rates, along with images of the eye-diagrams obtained in real-time during the experimental evaluation.
DOI: 10.5281/zenodo.10609355
title: Data and Code Accompanying the Study "A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages" by Nieder and List from 2024

description: This repository provides data and source code for the following study:

> Nieder, J. and List, J.-M. (2024): A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages. In: Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024).
DOI: 10.5281/zenodo.10609356
title: Data and Code Accompanying the Study "A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages" by Nieder and List from 2024

description: This repository provides data and source code for the following study:

> Nieder, J. and List, J.-M. (2024): A Computational Model for the Assessment of Mutual Intelligibility Among Closely Related Languages. In: Proceedings of the 6th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2024).
DOI: 10.17615/m1a7-r697
title: IMGV for Long COVID

description: Pilot data supports virtual Integrative Medical Group Visits for people with Long COVID
Abstract 
Background
Long COVID is a common, debilitating post-infectious illness following mild to severe COVID infections. Effective management of Long COVID is currently unknown. Shared Medical Appointments or Integrative Medical Group Visits (IMGV) are effective interventions for chronic conditions. Virtual IMGVs may improve management of Long COVID. 
Objective
This single arm non-randomized study assessed the feasibility of patient-reported outcome measures to study a virtual IMGV for Long COVID. Data from IMGV for Long COVID participants will guide program development and contribute to the evidence base for management of Long COVID.
Methods
Surveys administered before and after the group intervention measured anxiety, perceived stress, fatigue, sleep quality, and patient-specific symptomatology among patients from a tertiary care COVID recovery clinic. Paired t-tests quantified change in self-reported measures.
Results
Fourteen patients with Long COVID completed the intervention and pre and post measures (78.6% female, 71.4% non-Hispanic White, mean age 48.9 years). Chief symptomatology was fatigue, shortness of breath and “brain fog.” Symptoms decreased in interference when compared to pre-intervention levels (mean difference -1.3 [95% CI-2.2, -0.5]). There was no change in self-reported unrefreshing sleep or overall wellness. Perceived stress scores decreased after the intervention compared to baseline (mean difference -3.4 [95% CI -5.8, -1.1]). 
Conclusion
Patient-reported outcome measures of perceived stress and symptom interference improved post-intervention. Few effective interventions are currently available for this large and growing population facing debilitating symptoms. Larger studies are needed to explore the potential of Integrative Medical Group Visits to improve quality of life among people with Long COVID.
DOI: 10.17615/5c3v-3t87
title: BitCuratorEdu Educational Provider Survey

description: Survey instruments and data from the BitCuratorEdu Educational Provider Survey, which was administered between February-May 2020. The survey sought to understand current practices and ongoing challenges to developing and teaching digital forensics skills in library and information science educational offerings. The BitCuratorEdu project was an effort (2018-2022) funded by the Institute of Museum and Library Services (IMLS) to study and advance the adoption of digital forensics tools and methods in libraries and archives through professional education efforts (Award #RE-71-18-0028-18). This project was a partnership between Educopia Institute and the School of Information and Library Science at the University of North Carolina at Chapel Hill, along with the Council of State Archivists (CoSA) and several Masters-level programs in library and information science.
DOI: 10.17615/mg9y-t723
title: An Algorithm to Predict Death Using Insurance Claims Data

description: The inability to identify dates of death in insurance claims data is a major limitation to retrospective claims-based research. Deaths likely result in disenrollment; however, disenrollment may also reflect a change in insurance provider. We aim to develop a user-friendly public algorithm to predict death within the year of disenrollment using an administrative claims database.
DOI: 10.17615/00kh-zx60
title: Supplementary Material - Enhanced reverse weathering in the Late Permian and the Early Triassic Ocean

description: Chemical weathering and reverse weathering are two critical processes controlling biogeochemical cycles. Geochemical and stratigraphic records suggest that these processes might have varied considerably during the Permian to Early Triassic period influencing biogeochemical cycles during this critical interval of Earth’s history. Here we present new seawater lithium and strontium isotope records derived from bulk carbonates and fossil brachiopods spanning the Permian to Early Triassic period (300 Ma to 247 Ma). The lithium isotope composition of seawater remained constant for most of the Permian until a sharp decrease in the late Wuchiapingian which reached a minimum of around 5‰ in the Changhsingian, before the Permian-Triassic boundary (PTB, ~ 251.92 Ma). This decline occurred several million years prior to the PTB but low seawater Li isotope values (~10‰) persisted throughout the Early Triassic. Based on steady-state box modeling of the marine Li isotope budget, changes in the fluxes and isotopic composition of Li inputs alone (i.e., chemical weathering and hydrothermal) are unable to explain the abrupt decline in seawater Li isotopes. Rather, increased reverse weathering in the ocean is required to initiate the quick drawdown and maintain low Li isotope values in the Late Permian and Early Triassic (253-247 Ma).
DOI: 10.17615/3zby-9054
title: Dataset for "Measuring mercantile concentration in eighteenth-century British America: Charleston, 1735–1775"

description: Dataset for Peter A. Coclanis and Tomoko Yagyu (2022) Measuring mercantile concentration in eighteenth-century British America: Charleston, 1735–1775, Historical Methods: A Journal of Quantitative and Interdisciplinary History, DOI: 10.1080/01615440.2022.2080134
DOI: 10.4121/1a8dffa5-0452-48fc-aaf1-2c2d7f10c886
title: Associated data underlying the article: Researchers’ willingness and ability to openly share their research data: a survey of COVID-19 pandemic-related factors

description: This dataset provides the data underlying the scientific article "Researchers’ willingness and ability to openly share their research data: a survey of COVID-19 pandemic-related factors". The abstract of the article is as follows: While previous studies show that the drivers and inhibitors for openly sharing research data are diverse and complex, there is a lack of studies empirically examining the influence of the COVID-19 pandemic on researchers’ open data sharing behavior. Using a questionnaire (<em>n</em>=135), this study investigates the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their research data. Fifty-one respondents (37.8%) stated that factors related to the COVID-19 pandemic increased their willingness and ability to openly share their research data, while 80 (59.3%) reported that various pandemic-related factors did not influence their willingness and ability in this way. As one of the possible influencing factors, this study finds a significant association between the COVID-19-relatedness of researchers’ research discipline and whether or not the COVID-19 pandemic led to a change in their willingness and ability to share their research data openly: <em>χ</em>2 (1) = 5.77, <em>p </em>&lt; .05. Social influences on open data sharing behavior, institutional support for open data sharing, and the fear of potential negative consequences of open data sharing were nearly similar for the respondents who were and were not involved in COVID-19-related research. This study contributes scientifically by going beyond conceptual studies as it provides empirically-based insights concerning the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their data. As a practical contribution, this study discusses recommendations that policymakers can use to sustainably support open research data sharing in post-COVID-19 times. <br>
DOI: 10.4121/1a8dffa5-0452-48fc-aaf1-2c2d7f10c886.v1
title: Associated data underlying the article: Researchers’ willingness and ability to openly share their research data: a survey of COVID-19 pandemic-related factors

description: This dataset provides the data underlying the scientific article "Researchers’ willingness and ability to openly share their research data: a survey of COVID-19 pandemic-related factors". The abstract of the article is as follows: While previous studies show that the drivers and inhibitors for openly sharing research data are diverse and complex, there is a lack of studies empirically examining the influence of the COVID-19 pandemic on researchers’ open data sharing behavior. Using a questionnaire (<em>n</em>=135), this study investigates the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their research data. Fifty-one respondents (37.8%) stated that factors related to the COVID-19 pandemic increased their willingness and ability to openly share their research data, while 80 (59.3%) reported that various pandemic-related factors did not influence their willingness and ability in this way. As one of the possible influencing factors, this study finds a significant association between the COVID-19-relatedness of researchers’ research discipline and whether or not the COVID-19 pandemic led to a change in their willingness and ability to share their research data openly: <em>χ</em>2 (1) = 5.77, <em>p </em>&lt; .05. Social influences on open data sharing behavior, institutional support for open data sharing, and the fear of potential negative consequences of open data sharing were nearly similar for the respondents who were and were not involved in COVID-19-related research. This study contributes scientifically by going beyond conceptual studies as it provides empirically-based insights concerning the influence of COVID-19 pandemic-related factors on researchers’ willingness and ability to openly share their data. As a practical contribution, this study discusses recommendations that policymakers can use to sustainably support open research data sharing in post-COVID-19 times. <br>
DOI: 10.5281/zenodo.10609284
title: Design and validation of a multidimensional vocal scale for teachers to detect vocal risks

description: The objective of the study was to design, according to criteria of specificity and simplicity, a vocal multidimensional and reliablescale (EVM-D), that contributes to detect situations of vocal risk of the teachers in the school context. 

The study involved 299 teachers from 18 randomly selected schools from A Coruña that were divided into two sub-samples, one of them (n =143) for exploratory factor analysis, both with Parallel Analysis and principal axis factorization and oblimin rotation and another sub-sample (n = 156) forconfirmatory factor analysis, using the weighted least squares method.The EVM-D was developed in two stages: 1) The design of the scale with the selection of the most appropriate items for the vocal self-analysis and 2) the evaluation of the validity of the construct and the reliability of the instrument.
DOI: 10.5281/zenodo.10609285
title: Design and validation of a multidimensional vocal scale for teachers to detect vocal risks

description: The objective of the study was to design, according to criteria of specificity and simplicity, a vocal multidimensional and reliablescale (EVM-D), that contributes to detect situations of vocal risk of the teachers in the school context. 

The study involved 299 teachers from 18 randomly selected schools from A Coruña that were divided into two sub-samples, one of them (n =143) for exploratory factor analysis, both with Parallel Analysis and principal axis factorization and oblimin rotation and another sub-sample (n = 156) forconfirmatory factor analysis, using the weighted least squares method.The EVM-D was developed in two stages: 1) The design of the scale with the selection of the most appropriate items for the vocal self-analysis and 2) the evaluation of the validity of the construct and the reliability of the instrument.
DOI: 10.5281/zenodo.10572553
title: Accepted Artifact for Collective Allocator Abstraction to Control Object Spatial Locality in C++

description: This is the accepted Artifact for the article "Collective Allocator Abstraction to Control Object Spatial Locality in C++", which has been published in the journal "The Art, Science, and Engineering of Programming" Volume 8, Issue 3.

Authors: Takato Hideshima, Shigeyuki Sato, Tomoharu Ugawa

For details on how to use this artifact please consult the `README.md`.
DOI: 10.5281/zenodo.10572554
title: Accepted Artifact for Collective Allocator Abstraction to Control Object Spatial Locality in C++

description: This is the accepted Artifact for the article "Collective Allocator Abstraction to Control Object Spatial Locality in C++", which has been published in the journal "The Art, Science, and Engineering of Programming" Volume 8, Issue 3.

Authors: Takato Hideshima, Shigeyuki Sato, Tomoharu Ugawa

For details on how to use this artifact please consult the `README.md`.
DOI: 10.6084/m9.figshare.24377259
title: Modelling labs for a course on differential equations

description: Differential equations are widely used tools for modelling the world around us, making a course in differential equations a natural place for students to connect concrete mathematical applications to abstract concepts. Since students grasp the concepts better by applying them, introducing differential equations through modelling becomes essential. However, students often struggle to create and understand these models in the course. The purpose of this article is to share and examine a scaffolded sequence of labs implemented at regular intervals throughout a semester intended to train students in construction and analysis of mathematical models using differential equations. In these labs students learn basic principles of modelling that better prepare them for many of the high-quality modelling projects already available in differential equations. The course in which these activities were developed is taught using the SIMIODE text, <i>Differential Equations: A Toolbox for Modelling the World</i>, by Kurt Bryan. The labs are split into two components, with the first completed during class time and the second as out of class assignments. Furthermore, the course was re-organised to allow for the time needed to introduce the labs in class. We include classroom materials for labs, analysis, results on student perceptions and pedagogical recommendations.
DOI: 10.6084/m9.figshare.24377259.v1
title: Modelling labs for a course on differential equations

description: Differential equations are widely used tools for modelling the world around us, making a course in differential equations a natural place for students to connect concrete mathematical applications to abstract concepts. Since students grasp the concepts better by applying them, introducing differential equations through modelling becomes essential. However, students often struggle to create and understand these models in the course. The purpose of this article is to share and examine a scaffolded sequence of labs implemented at regular intervals throughout a semester intended to train students in construction and analysis of mathematical models using differential equations. In these labs students learn basic principles of modelling that better prepare them for many of the high-quality modelling projects already available in differential equations. The course in which these activities were developed is taught using the SIMIODE text, <i>Differential Equations: A Toolbox for Modelling the World</i>, by Kurt Bryan. The labs are split into two components, with the first completed during class time and the second as out of class assignments. Furthermore, the course was re-organised to allow for the time needed to introduce the labs in class. We include classroom materials for labs, analysis, results on student perceptions and pedagogical recommendations.
DOI: 10.6084/m9.figshare.24448590
title: Calculus is the study of change, but differential equations students need help quantifying it

description: Students exit calculus with understandings of change that want for conceptual depth and are disconnected from real-world contexts. In this paper, we present a problem that will develop their skills in using <i>change</i> concepts for learning differential equations through modelling. The problem comes from a qualitative study of how STEM majors approach and think about differential equations as models for real-world scenarios. Our purpose is to inform faculty who are using open, authentic, scenario-driven instructional materials about the ways their students think about what are often taken-for-granted concepts in advanced mathematics and to support faculty in ensuring their students get the most from their innovative instructional materials.
DOI: 10.6084/m9.figshare.24448590.v2
title: Calculus is the study of change, but differential equations students need help quantifying it

description: Students exit calculus with understandings of change that want for conceptual depth and are disconnected from real-world contexts. In this paper, we present a problem that will develop their skills in using <i>change</i> concepts for learning differential equations through modelling. The problem comes from a qualitative study of how STEM majors approach and think about differential equations as models for real-world scenarios. Our purpose is to inform faculty who are using open, authentic, scenario-driven instructional materials about the ways their students think about what are often taken-for-granted concepts in advanced mathematics and to support faculty in ensuring their students get the most from their innovative instructional materials.
DOI: 10.17631/rd-2024-0002-ddat
title: The professionalisation of tissue viability nurses in Kuwait, Qatar, Jordan, and Egypt.
DOI: 10.34740/kaggle/dsv/7539062
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5517/ccdc.csd.cc2d9dvz
title: CCDC 2213581: Experimental Crystal Structure Determination

description: Related Article: Ruochuan Liao, Changquan Tang, Yunlong Ma, Qingdong Zheng|2023|Chin.Chem.Lett.|34|108448|doi:10.1016/j.cclet.2023.108448
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.cc2d9dw0
title: CCDC 2213582: Experimental Crystal Structure Determination

description: Related Article: Ruochuan Liao, Changquan Tang, Yunlong Ma, Qingdong Zheng|2023|Chin.Chem.Lett.|34|108448|doi:10.1016/j.cclet.2023.108448
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.7147867
title: Marteloscope data of the experimental plot, Naundorf 710 b1 (Saxony, Germany 2020)

description: Yield data (diameter breast height and tree height) of a mixed stand in the Tharandt Forest, Germany. The data was collected for the establishment of a marteloscope site within the I+ network of the European Forest Institute.
DOI: 10.5281/zenodo.7147868
title: Marteloscope data of the experimental plot, Naundorf 710 b1 (Saxony, Germany 2020)

description: Yield data (diameter breast height and tree height) of a mixed stand in the Tharandt Forest, Germany. The data was collected for the establishment of a marteloscope site within the I+ network of the European Forest Institute.