cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25582/data.2020-01.1915170/2103026
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-03.2181785/2103027
title: Data for EMSL Project 51241 from March 2021
DOI: 10.25582/data.2021-05.2232078/2103028
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/xb4gwww68s.1
title: Y Zeolite ADS DFT manuscript

description: NBO7 output files and pdb files for DFT calculations of sulfur and aromatic species adsorbed on ion-exchanged Y zeolite.
DOI: 10.25582/data.2021-05.2232242/2103029
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/9yyhtk77mb.1
title: Biomarkers of Response to Topical Crisaborole in Mild/Moderate Pediatric Atopic Dermatitis Patients From Minimally Invasive Tape Strip Transcriptome

description: Supplemental files for JAAD Research Letter: Biomarkers of Response to Topical Crisaborole in Mild/Moderate Pediatric Atopic Dermatitis Patients From Minimally Invasive Tape Strip Transcriptome. Fishbein et al. 2023
DOI: 10.25582/data.2021-05.2232539/2103030
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/6sxcdvzn4d.1
title: Fluid Interaction Study: Hydrodynamic Robot (FISHR) -Expansion of Bioinspired Soft Robotic Fish

description: We introduce an enhanced iteration of OpenFish, an open-source soft robotic fish previously developed. The original model, developed at Delft of Technology, successfully emulated thunniform swimming through a unique propulsion system utilizing both active and passive tail segments. This design aimed to optimize speed and efficiency while fostering future advancements in soft robotic fish research. To further enhance OpenFish, we undertook a redesign process, making modifications to the fish hull and internal components. These changes aimed to simplify construction, address waterproofing issues, and facilitate the development of an autonomous version of the fish. Our work encompasses an updated description of the construction process, customization options, and detailed insights into hardware implementation, including waterproofing techniques for the soft robotic fish.
DOI: 10.25582/data.2021-05.2232564/2103031
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/3k6jmwb7xg.1
title: obesity

description: La obesidad visceral es un factor significativo en la prevalencia de varias disfunciones metabólicas, incluyendo resistencia a la insulina, hiperinsulinemia, dislipidemia e hipertensión. A pesar de la importancia clínica de la cuantificación precisa del tejido adiposo visceral (TAV), los métodos actuales varían en su precisión y reproducibilidad. Este proyecto propone investigar el uso de la tomografía computarizada (TAC) y la resonancia magnética (RM) para la cuantificación del TAV, centrándonos en la reproducibilidad, especificidad y precisión de ambas técnicas.
DOI: 10.17632/rm9tc6zpyb.1
title: Perceived Needs of Skills and Job Training Participants Experiencing Homelessness

description: The population included individuals and families who lacked a fixed, regular, and permanent nighttime residence as well as those administrators who provided them support services. Purposive and convenience sampling were the methods used to recruit individuals living this experience while enrolled in a Downtown Seattle skills and job training program or those administrators within the organization providing this program. A survey and semi-structured interviews were used to collect data for this study. Both deductive and inductive methods of thematic analysis were the methods of analysis used. Specifically, deductive coding used the Obstacles to Engagement Scale’s (OES) four subscales (logistical, behavioral, cultural, and perceptual) to categorize one set of themes. Via inductive coding, other subthemes emerged.
DOI: 10.25582/data.2020-01.1915177/2103032
title: Data for EMSL Project 51241 from January 2020
DOI: 10.17632/zcrrgvhdns.1
title: Convergence in House Price Cycles across the US: Recent Developments and the Impact of Covid

description: This is the dataset for "Convergence in House Price Cycles across the US: Recent Developments and the Impact of Covid, by William Miles, Wichita State University
DOI: 10.25582/data.2021-05.2232523/2103033
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232142/2103034
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232289/2103035
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/7fj3mddx73.1
title: Repository of Rainfall-Streamflow Datasets and Models for the Lenguazaque River Basin (Cundinamarca, Colombia)

description: This dataset contains data for modeling output discharge as a function of input precipitation in the Lenguazaque River Basin, a headwater catchment in Cundinamarca, Colombia, South America.
The dataset is organized in several folders, described as follows:
1RawData: Time series of input precipitation and output streamflow in daily and sub-daily resolutions
2ProcessedData: The same time series after management of outliers and missing data
3ModelResults: Repository of code to work with these datasets
NOTE: Raw data was provided by the Environmental Agency CAR. Daily data was provided upon request in digital format. Most sub-daily records were available as hardcopy paper charts which were photographed and digitized.
DOI: 10.25582/data.2021-05.2233726/2103036
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/7fj3mddx73.2
title: Repository of Rainfall-Streamflow Datasets and Models for the Lenguazaque River Basin (Cundinamarca, Colombia)

description: This dataset contains data for modeling output discharge as a function of input precipitation in the Lenguazaque River Basin, a headwater catchment in Cundinamarca, Colombia, South America. The paper where the data, code and results are described in detail is open access and can be found hee: https://doi.org/10.1016/j.ejrh.2022.101243 The title is Modeling streamflow in headwater catchments: A data-based mechanistic grounded framework, by Fernandez, Camacho and Nejadhashemi (2022) The dataset is organized in several folders, described as follows: 1RawData: Time series of input precipitation and output streamflow in daily and sub-daily resolutions 2ProcessedData: The same time series after management of outliers and missing data 3ModelResults: Repository of code to work with these datasets 4Code: V2 includes a more detailed version of the codes used in the paper, separated by each individual Stage NOTE: Raw data was provided by the Environmental Agency CAR. Daily data was provided upon request in digital format. Most sub-daily records were available as hardcopy paper charts which were photographed and digitized.
DOI: 10.17632/6pw4278szv.1
title: THE IMPACT OF SWAMI VIVEKANANDA’S EDUCATIONAL PHILOSOPHY ON MODERN EDUCATION: A COMPARATIVE ANALYSIS

description: Abstract: This paper provides a comprehensive examination of Vivekananda's perspectives and concepts pertaining to education. During the 19th century, India witnessed the emergence of numerous eminent individuals who significantly contributed to the enhancement of our nation's educational system through their exceptional abilities and distinctive characteristics. Swami Vivekananda was among the individuals in question. Vivekananda espoused the fundamental concept of the inherent connection between humanity and divinity. He also has a diverse range of educational perspectives. He made significant contributions to the field of education, addressing several facets within it. The relevance and necessity of his ideas on numerous elements of education are arguably greater in contemporary times than they were during his own lifetime. It is not surprising that even after more than a century after his demise, there persists a continued endeavour to augment our intellectual pursuits through the invaluable insights on education offered by Vivekananda. Upon careful examination of Vivekananda's writings and talks, it becomes evident that his perspectives on education stem from a process of independent contemplation.
DOI: 10.25582/data.2021-05.2232235/2103037
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232469/2103038
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2020-01.1915317/2103039
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-03.2188263/2103040
title: Data for EMSL Project 51241 from March 2021
DOI: 10.25582/data.2021-05.2232187/2103041
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232443/2103042
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232632/2103043
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232722/2103044
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232363/2103045
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232410/2103046
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232123/2103047
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232351/2103048
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232361/2103049
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232203/2103050
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232153/2103051
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232434/2103052
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232556/2103053
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232623/2103054
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232576/2103055
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232627/2103056
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232426/2103057
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232522/2103058
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232739/2103059
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232412/2103060
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232129/2103061
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232160/2103062
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232179/2103063
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232246/2103064
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232224/2103065
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232298/2103066
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232607/2103067
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232720/2103068
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232082/2103069
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232267/2103070
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232328/2103071
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232584/2103072
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/whw57k6d33.1
title: Data for: Application of the FFLUX Force Field to Molecular Crystals: A Study of Formamide

description: This repository provides additional data to accompany the paper: "Application of the FFLUX Force Field to Molecular Crystals: A Study of Formamide" M. L. Brown, J. M. Skelton and P. L. A. Popelier Journal of Chemical Theory and Computation (2023) DOI: doi.org/10.1021/acs.jctc.3c00578 This article applies FFLUX, the quantum chemical topology based force field, to the solid state for the first time in geometry optimisations, calculation of phonon spectra and Helmholtz free energies. This repository makes available a full set of data from these calculations, including: • The Gaussian process regression machine learning model used in the FFLUX calculations; • Files used to generate the optimised structures; • Files used to calculate the phonon density of states and Helmholtz free energies; • Data for the calculated IR spectra; • Equation of state data. For details of how this data was generated, users are referred to the published article and supporting information. The repository also contains sample input files for the Vienna Ab Initio Simulation Package (VASP) code. While FFLUX has not yet been made publicly available, input files and the formamide Gaussian process regression models are provided for when it is made available.
DOI: 10.25582/data.2021-05.2232481/2103073
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232650/2103074
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231996/2103075
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/3r4473w3w9.1
title: RT_PCR for Data on localization of the T-DNA insertion site in Arabidopsis line SALK_146824C article

description: Data for RT_PCR calculation related to the manusript "Data on localization of the T-DNA insertion site in Arabidopsis line SALK_146824C article"
DOI: 10.25582/data.2021-05.2232404/2103076
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232416/2103077
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232111/2103078
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231820/2103079
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231997/2103080
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232512/2103081
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2020-01.1915336/2103082
title: Data for EMSL Project 51241 from January 2020
DOI: 10.25582/data.2021-05.2232431/2103083
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232587/2103084
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232614/2103085
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232562/2103086
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/87fk42tmkd.1
title: Acta 003-2022-CE-UIIE-FTM-UNFV

description: Ethic Committee Name: Comité de Ética de la Unidad de Investigación, Innovación y Emprendimiento de la Facultad de Tecnología Médica (FTM) de la Universidad Nacional Federico Villarreal. Approval Code: 003-2022-CE-UIIE-FTM-UNFV
DOI: 10.25582/data.2021-05.2231969/2103087
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232247/2103088
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232735/2103089
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232428/2103090
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-03.2181931/2103091
title: Data for EMSL Project 51241 from March 2021
DOI: 10.25582/data.2021-05.2232754/2103092
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232769/2103093
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232172/2103094
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232329/2103095
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232770/2103096
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232356/2103097
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232667/2103098
title: Data for EMSL Project 51241 from May 2021
DOI: 10.17632/n69rdbph73.1
title: Adoption of Artificial Intelligence-based e-Learning Platforms in Institutes of Excellence: extending UTUAT with Technophobia, Technophilia, Content Quality, and Functional Quality.

description: This research study aims to enhance our understanding of the factors influencing the adoption of AI-ELP by extending the Unified Theory of Acceptance and Use of Technology (UTAUT). The extended model incorporates technophobia, technophilia, content quality, and functional quality. Through a comprehensive review of the existing literature, this study proposes an augmented conceptual framework that considers the unique psychological tendencies of users toward technology (technophobia and technophilia) and the quality aspects of the AI-ELP platform (content quality and functional quality). By incorporating these additional factors, this research provides a more holistic understanding of users’ acceptance and use of AI-ELP. This study employed quantitative research methods, including surveys and statistical analysis, to collect and analyze data from research scholars at IIT, Kharagpur. These findings will contribute to theoretical advancements and practical implications by shedding light on the complex dynamics of adopting AI-ELP. The research outcomes are expected to guide educational practitioners and policymakers in developing strategies to address user concerns, enhance the quality of content and platform functionality, and promote the effective adoption and use of AI-ELP in educational settings.
DOI: 10.25582/data.2021-05.2232027/2103099
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232399/2103100
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2231998/2103101
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232509/2103102
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232673/2103103
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232306/2103104
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232462/2103105
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232595/2103106
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232174/2103107
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232571/2103108
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232482/2103109
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232672/2103110
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232045/2103111
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232605/2103112
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232617/2103113
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232143/2103114
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232214/2103115
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232534/2103116
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232575/2103117
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-03.2181959/2103118
title: Data for EMSL Project 51241 from March 2021
DOI: 10.25582/data.2021-03.2188171/2103119
title: Data for EMSL Project 51241 from March 2021
DOI: 10.5281/zenodo.10019951
title: Sexual Violence Whistleblowing Intention by Higher Education Students and Staff

description: The datasets consist of quantitative data from 21,937 higher education students from 18 institutions in Nigeria. It also contains 3,108 data points from staff of the same institutions. The data describe the intention of the staff and the students to use internal whistleblowing mechanisms to report sexual violence cases. Data on the attitude of the participants towards internal whistleblowing, their subjective norms, and their self-efficacy are also contained in the datasets. The qualitative data describe the sexual violence reporting systems available in the institutions, their preferred whistleblowing strategies, the protection of whistleblowers, and recommendations for the effectiveness of internal whistleblowing mechanisms for sexual violence. However, due to the sensitivity of the data, the qualitative dataset will only be made available on request. Added to these datasets are the instruments that were used to collect data from the participants.
DOI: 10.5281/zenodo.8234061
title: Sexual Violence Whistleblowing Intention by Higher Education Students and Staff

description: The datasets consist of quantitative data from 21,937 higher education students from 18 institutions in Nigeria. It also contains 3,108 data points from staff of the same institutions. The data describe the intention of the staff and the students to use internal whistleblowing mechanisms to report sexual violence cases. Data on the attitude of the participants towards internal whistleblowing, their subjective norms, and their self-efficacy are also contained in the datasets. The qualitative data describe the sexual violence reporting systems available in the institutions, their preferred whistleblowing strategies, the protection of whistleblowers, and recommendations for the effectiveness of internal whistleblowing mechanisms for sexual violence. However, due to the sensitivity of the data, the qualitative dataset will only be made available on request. Added to these datasets are the instruments that were used to collect data from the participants.
DOI: 10.5281/zenodo.8234062
title: Sexual Violence Whistleblowing Intention by Higher Education Students and Staff

description: The Dataset consists of quantitative data from 21,937 higher education students from 18 institutions in Nigeria. It also contains 3,108 data from staff of the same institutions. The data describes the intention of the staff and the students to use internal whistleblowing mechanism to report sexual violence cases. Data on the attitude of the participants to internal whistleblowing, their subjective norm and self-efficacy are also contained in the dataset. The qualitative data describes the sexual violence reporting systems available in the institutions, their preferred whistleblowing strategies, protection of the whistleblowers and recommendations for effectiveness of internal whistleblowing mechanism for sexual violence.
DOI: 10.5281/zenodo.8329082
title: Sexual Violence Whistleblowing Intention by Higher Education Students and Staff

description: The Dataset consists of quantitative data from 21,937 higher education students from 18 institutions in Nigeria. It also contains 3,108 data from staff of the same institutions. The data describes the intention of the staff and the students to use internal whistleblowing mechanism to report sexual violence cases. Data on the attitude of the participants to internal whistleblowing, their subjective norm and self-efficacy are also contained in the dataset. The qualitative data describes the sexual violence reporting systems available in the institutions, their preferred whistleblowing strategies, protection of the whistleblowers and recommendations for effectiveness of internal whistleblowing mechanism for sexual violence. However, due to the sensitivity of the data, the qualitative data will only be made available on request.
DOI: 10.25582/data.2021-05.2231776/2103120
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232193/2103121
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232543/2103122
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232643/2103123
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232626/2103124
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232435/2103125
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232578/2103126
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2233712/2103127
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232124/2103128
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232402/2103129
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232660/2103130
title: Data for EMSL Project 51241 from May 2021
DOI: 10.25582/data.2021-05.2232040/2103131
title: Data for EMSL Project 51241 from May 2021