cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6131027.v2
title: Alignment of an interprofessional student learning experience with a hospital quality improvement initiative

description: Assessment of interprofessional education (IPE) frequently focuses on students’ learning outcomes including changes in knowledge, skills, and/or attitudes. While a foundational education in the values and information of their chosen profession is critical, interprofessional learning follows a continuum from formal education to practice. The continuum increases in significance and complexity as learning becomes more relationship based and dependent upon the ability to navigate complex interactions with patients, families, communities, co-workers, and others. Integrating IPE into collaborative practice is critical to enhancing students’ experiential learning, developing teamwork competencies, and understanding the complexity of teams. This article describes a project that linked students with a hospital-based quality-improvement effort to focus on the acquisition and practice of teamwork skills and to determine the impact of teamwork on patient and quality outcome measures. A hospital unit was identified with an opportunity for improvement related to quality care, patient satisfaction, employee engagement, and team behaviours. One hundred and thirty-seven students from six health profession colleges at the Medical University of South Carolina underwent TeamSTEPPS® training and demonstrated proficiency of their teamwork-rating skills with the TeamSTEPPS® Team Performance Observation Tool (T-TPO). Students observed real-time team behaviours of unit staff before and after staff attended formal TeamSTEPPS® training. The students collected a total of 778 observations using the T-TPO. Teamwork performance on the unit improved significantly across all T-TPO domains (team structure, communication, leadership, situation monitoring, and mutual support). Significant improvement in each domain continued post-intervention and at 15-month follow-up, improvement remained significant compared to baseline. Student engagement in TeamSTEPPS® training and demonstration of their reliability as teamwork-observers was a valuable learning experience and also yielded an opportunity to gather unique, and otherwise difficult to attain, data from a hospital unit for use by quality managers and administrators.
DOI: 10.6084/m9.figshare.6253670.v1
title: Interprofessional population health advocacy: Developing and implementing a panel management curriculum in five Veterans Administration primary care practices

description: Health care systems expect primary care clinicians to manage panels of patients and improve population health, yet few have been trained to do so. An interprofessional panel management (PM) curriculum is one possible strategy to address this training gap and supply future primary care practices with clinicians and teams prepared to work together to improve the health of individual patients and populations. This paper describes a Veterans Administration (VA) sponsored multi-site interprofessional PM curriculum development effort. Five VA Centers of Excellence in Primary Care Education collaborated to identify a common set of interprofessionally relevant desired learning outcomes (DLOs) for the PM and to develop assessment instruments for monitoring trainees’ PM learning. Authors cataloged teaching and learning activities across sites. Results from pilot testing were systematically discussed leading to iterative revisions of curricular elements. Authors completed a retrospective self-assessment of curriculum implementation for the academic year 2015–16 using a 5-point scale: contemplation (score = 0), pilot (1), action (2), maintenance (3), and embedded (4). Implementation scores were analyzed using descriptive statistics. DLOs were organized into five categories (individual patients, populations, guidelines/measures, teamwork, and improvement) along with a developmental continuum and mapped to program competencies. Instruction and implementation varied across sites based on resources and priorities. Between 2015 and 2016, 159 trainees (internal medicine residents, nurse practitioner students and residents, pharmacy residents, and psychology post-doctoral fellows) participated in the PM curriculum. Curriculum implementation scores for guidelines/measures and improvement DLOs were similar for all trainees; scores for individual patients, populations, and teamwork DLOs were more advanced for nurse practitioner and physician trainees. In conclusion, collaboratively identified DLOs for PM guided development of assessment instruments and instructional approaches for panel management activities in interprofessional teams. This PM curriculum and associated tools provide resources for educators in other settings.
DOI: 10.6084/m9.figshare.6131027.v1
title: Alignment of an interprofessional student learning experience with a hospital quality improvement initiative

description: Assessment of interprofessional education (IPE) frequently focuses on students’ learning outcomes including changes in knowledge, skills, and/or attitudes. While a foundational education in the values and information of their chosen profession is critical, interprofessional learning follows a continuum from formal education to practice. The continuum increases in significance and complexity as learning becomes more relationship based and dependent upon the ability to navigate complex interactions with patients, families, communities, co-workers, and others. Integrating IPE into collaborative practice is critical to enhancing students’ experiential learning, developing teamwork competencies, and understanding the complexity of teams. This article describes a project that linked students with a hospital-based quality-improvement effort to focus on the acquisition and practice of teamwork skills and to determine the impact of teamwork on patient and quality outcome measures. A hospital unit was identified with an opportunity for improvement related to quality care, patient satisfaction, employee engagement, and team behaviours. One hundred and thirty-seven students from six health profession colleges at the Medical University of South Carolina underwent TeamSTEPPS® training and demonstrated proficiency of their teamwork-rating skills with the TeamSTEPPS® Team Performance Observation Tool (T-TPO). Students observed real-time team behaviours of unit staff before and after staff attended formal TeamSTEPPS® training. The students collected a total of 778 observations using the T-TPO. Teamwork performance on the unit improved significantly across all T-TPO domains (team structure, communication, leadership, situation monitoring, and mutual support). Significant improvement in each domain continued post-intervention and at 15-month follow-up, improvement remained significant compared to baseline. Student engagement in TeamSTEPPS® training and demonstration of their reliability as teamwork-observers was a valuable learning experience and also yielded an opportunity to gather unique, and otherwise difficult to attain, data from a hospital unit for use by quality managers and administrators.
DOI: 10.5517/cc757by
title: CCDC 213569: Experimental Crystal Structure Determination

description: Related Article: H.Arslan, D.Vanderveer, I.Ozdemir, B.Cetinkaya, S.Yasar|2004|Z.Kristallogr.-New Cryst.Struct.|219|44|
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.ccx8qyt
title: CCDC 842547: Experimental Crystal Structure Determination

description: Related Article: A. N. Makhinya, E. A. Shusharina, I. A. Baidina, M. A. Il'in|2011|Zh.Strukt.Khim.|52|973|doi:10.1134/S0022476611050167
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.cc277pbj
title: CCDC 2062967: Experimental Crystal Structure Determination

description: Related Article: Chi-Fung Yeung, Hau-Lam Shek, Shek-Man Yiu, Man-Kit Tse, Chun-Yuen Wong|2021|Organometallics|40|2458|doi:10.1021/acs.organomet.1c00197
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.cc277pdl
title: CCDC 2062969: Experimental Crystal Structure Determination

description: Related Article: Chi-Fung Yeung, Hau-Lam Shek, Shek-Man Yiu, Man-Kit Tse, Chun-Yuen Wong|2021|Organometallics|40|2458|doi:10.1021/acs.organomet.1c00197
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.cc2dy8l7
title: CCDC 2232669: Experimental Crystal Structure Determination

description: Related Article: Sheng-Suo Zhou, Xing-Yun Sun, Wen-Kai Liu, Jia-Yu Song, Zheng Wang, Zheng-Hang Qi, Xing-Wang Wang|2023|J.Org.Chem.|88|11867|doi:10.1021/acs.joc.3c01152
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.cc2dpxdf
title: CCDC 2225595: Experimental Crystal Structure Determination

description: Related Article: Sheng-Suo Zhou, Xing-Yun Sun, Wen-Kai Liu, Jia-Yu Song, Zheng Wang, Zheng-Hang Qi, Xing-Wang Wang|2023|J.Org.Chem.|88|11867|doi:10.1021/acs.joc.3c01152
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: 10.5258/soton/d2741
title: Dataset in support of the thesis 'An Investigation into the use of compassion-focused Interventions for moral injury and post-traumatic stress disorder in military veterans'

description: 4 x datasets 1. Dataset reflecting data gathered for empirical study exploring moral injury and compassion for veterans 2. Dataset for meta-analysis using cross-sectional studies exploring self-compassion and PTSD in veterans 3. Dataset for meta-analysis using intervention studies exploring self-compassion interventions for PTSD in veterans 4. Dataset for meta-analysis using intervention studies exploring self-compassion interventions for levels of self-compassion in veterans
DOI: 10.5281/zenodo.8308575
title: Data supplement for "Stick-slip Dynamics in the Forced Wetting of Polymer Brushes"

description: This dataset contains supplementary data for the following publication: Greve, D., Hartmann, S. & Thiele, U.<br> Stick-slip Dynamics in the Forced Wetting of Polymer Brushes<br> Soft Matter, 2023, 19, 4041-4061 We provide the source files and data for all figures as well as a video of the stick-slip motion of a liquid front on a polymer brush substrate corresponding to the data shown in Figs. 10 & 11 of the paper.
DOI: 10.5281/zenodo.7886529
title: Data supplement for "Stick-slip Dynamics in the Forced Wetting of Polymer Brushes"

description: This dataset contains supplementary data for the following publication: Greve, D., Hartmann, S. & Thiele, U.<br> Stick-slip Dynamics in the Forced Wetting of Polymer Brushes<br> Soft Matter, 2023, 19, 4041-4061 We provide the source files and data for all figures as well as a video of the stick-slip motion of a liquid front on a polymer brush substrate corresponding to the data shown in Figs. 10 & 11 of the paper.
DOI: 10.5281/zenodo.8308946
title: Designing Multi-Sensorial Information Systems: a Dual Case-Study

description: Replication package and dataset for the paper: Designing Multi-Sensorial Information Systems: a Dual Case-Study
DOI: 10.5281/zenodo.8308945
title: Designing Multi-Sensorial Information Systems: a Dual Case-Study

description: Replication package and dataset for the paper: Designing Multi-Sensorial Information Systems: a Dual Case-Study
DOI: 10.48366/r609278
title: Exploring Large Language Models in General Science

description: This comparison has explored the role of Large Language Models in General Science. There are 5 contribution included to show the status of LLMs in Chemistry.
DOI: 10.34740/kaggle/dsv/6399838
title: SagaGameAnalyst
DOI: 10.5258/soton/d2761
title: Dataset in support of the thesis 'The intersection of pedagogy, personality, parenting and the military population'

description: SPSS data and syntax for the empirical paper (chapter 3) of the thesis: The Intersection of Pedagogy, Personality, Parenting and the Military Population
DOI: 10.5281/zenodo.7934392
title: PEARLS: Near Infrared Photometry in the JWST North Ecliptic Pole Time Domain Field

description: We make public visible and near-infrared images and derived catalogues obtained as part of the ground-based observations targetting the North Ecliptic Pole Time Domain Field. This is one of the prime targets of the PEARLS collaboration (Windhorst+ 2023, AJ 165, 13 (https://doi.org/10.3847/1538-3881/aca163), and was designed to identify transient objects (outer Solar System objects, variable stars, Active Galactic Nuclei, Supernovae). These data complement the already extensive coverage this field has had from space and ground-based observatories ranging from hard X-rays to radio.
DOI: 10.5281/zenodo.7934393
title: PEARLS: Near Infrared Photometry in the JWST North Ecliptic Pole Time Domain Field

description: We make public visible and near-infrared images and derived catalogues obtained as part of the ground-based observations targetting the North Ecliptic Pole Time Domain Field. This is one of the prime targets of the PEARLS collaboration (Windhorst+ 2023, AJ 165, 13 (https://doi.org/10.3847/1538-3881/aca163), and was designed to identify transient objects (outer Solar System objects, variable stars, Active Galactic Nuclei, Supernovae). These data complement the already extensive coverage this field has had from space and ground-based observatories ranging from hard X-rays to radio.
DOI: 10.23719/1528953
title: Characterizing surface water concentrations of hundreds of organic chemicals in United States for environmental risk prioritization

description: The initial analysis set was downloaded from https://www.waterqualitydata.us/ using queries described in the file load_water_data.py, hosted at https://github.com/USEPA/EcoSEEM-Consensus-Model-for-Chemicals-in-Surface-Water/tree/master/observation_data. The representative concentration ranges and bioactivity:exposure ratio results are available at the same GitHub repo in the file all_chem_res.csv.
DOI: 10.6084/m9.figshare.23929626.v1
title: Cornea and phantom datasets for: “Possible depth-resolved reconstruction of shear moduli in the cornea following collagen crosslinking (CXL) with optical coherence tomography and elastography.

description: Raw OCT datasets for corneal and phantom experiments
DOI: 10.5281/zenodo.8308029
title: cartos parametriques pour l'IRM

description: voila un lien pour telecharger les cartos parametriques pour l'IRM ex vivo du rat endo stroke
DOI: 10.5281/zenodo.8308028
title: cartos parametriques pour l'IRM

description: voila un lien pour telecharger les cartos parametriques pour l'IRM ex vivo du rat endo stroke
DOI: 10.17636/10190412
title: Adapting digital networks and resources for autistic users. A toolkit for the third and public sector
DOI: 10.5517/ccdc.csd.cc1ngvts
title: CCDC 1533626: Experimental Crystal Structure Determination

description: Related Article: Yingying Liu, Gui Chen, Shek-Man Yiu, Chun-Yuen Wong, Tai-Chu Lau|2017|ChemCatChem|10|501|doi:10.1002/cctc.201701319
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.cc1ngwcc
title: CCDC 1533643: Experimental Crystal Structure Determination

description: Related Article: Yingying Liu, Gui Chen, Shek-Man Yiu, Chun-Yuen Wong, Tai-Chu Lau|2017|ChemCatChem|10|501|doi:10.1002/cctc.201701319
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.cc259g43
title: CCDC 2005084: Experimental Crystal Structure Determination

description: Related Article: Austin P. Lanquist, Sayak Gupta, Kathlyn F. Al-Afyouni, Malik Al-Afyouni, Jeremy J. Kodanko, Claudia Turro|2021|Chemical Science|12|12056|doi:10.1039/D1SC03213E
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.cc266g0x
title: CCDC 2031988: Experimental Crystal Structure Determination

description: Related Article: Anikul Islam, Mrinal Kanti Ghosh, Swarup Chattopadhyay|2021|J.Indian Chem.Soc.|98|100048|doi:10.1016/j.jics.2021.100048
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.cc2878wp
title: CCDC 2092372: Experimental Crystal Structure Determination

description: Related Article: Sahidul Mondal, Ambreen Rashid, Pradyut Ghosh|2021|J.Organomet.Chem.|952|122027|doi:10.1016/j.jorganchem.2021.122027
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.cc287893
title: CCDC 2092354: Experimental Crystal Structure Determination

description: Related Article: Sahidul Mondal, Ambreen Rashid, Pradyut Ghosh|2021|J.Organomet.Chem.|952|122027|doi:10.1016/j.jorganchem.2021.122027
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.cc2c4kkn
title: CCDC 2179131: Experimental Crystal Structure Determination

description: Related Article: Brendon J. McNicholas, Z. Jaron Tong, Daniel Bím, Raymond F. Turro, Nathanael P. Kazmierczak, Jakub Chalupský, Sarah E. Reisman, Ryan G. Hadt|2023|Inorg.Chem.|62|14010|doi:10.1021/acs.inorgchem.3c02048
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: 10.5066/p9bxibf9
title: Surrogate regression model data for estimating nitrate concentrations at six springs in Gooding County, south-central Idaho

description: Endangered Banbury Springs limpet and threatened Bliss Rapids snail populations in springs along the Snake River in southern Gooding County, south-central Idaho, are declining. To protect these species, the U.S. Fish and Wildlife Service (USFWS) needs to understand what affects the species' habitat such as aquatic vegetation, associated with elevated nitrate concentrations in the springs. In cooperation with the USFWS, the U.S. Geological Survey developed surrogate regression models to estimate nitrate concentration using specific conductance, day of the year, and streamflow as potential explanatory variables. These surrogate models provide a cheaper alternative than measuring nitrate concentrations directly, through discrete sampling, or continuous monitoring via nitrate sensor equipped sonde. The spring surrogate regression models showed that specific conductance can be an effective surrogate for nitrate in springs affected by agriculture and that the model results improved when streamflow data were included. The spring surrogate regression models vary in their ability to estimate nitrate concentration. All the surrogate regression models are included in this data release with the associated USGS Scientific Investigations Report describing the best surrogate regression models to use at each spring.
DOI: 10.5281/zenodo.8309219
title: Datasets of paper "Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts"

description: Datasets of paper "Towards Assessing the Real-World Impact of Defects in Blockchain-based Smart Contracts" published on the 1st International Workshop on Software Defect Datasets (SDD 2023). The GitHub repository is available here: https://github.com/MichaelHettmer/sdd23
DOI: 10.6084/m9.figshare.20111056.v1
title: Developing ecological endpoints for valuation of semi-arid riparian ecosystem services

description: Creating measurable ecological accounting units has become a point of emphasis in valuing ecosystem services. Understanding which ecological endpoints, which emanate from biophysical production functions, are important to individuals could help to create measurable ecological accounting units. Using two semi-arid riparian ecosystems we create a suite of ecological endpoints and using benefits transfer techniques compare their ability to be transferred to similar riparian ecosystems. If clearly defined, ecological accounting units can be developed for ecosystem services. This could lead to ecosystem services being properly incorporated into benefit cost analyses that maximize economic product of both market and non-market goods and services.
DOI: 10.5281/zenodo.8309256
title: Light-driven reversible charge transfers from ITO Nanocrystals

description: Absorption spectra including ferrocene and ITO mix, both in ground state and photodoped. Includes reference absorption spectra of compounds/nanoparticles alone, and absorption spectra from solvents used.