cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/055d9032-b595-4bc7-ad72-74c9f13dce87.v1
title: Dataset of "Comfort expectation differs from comfort experience using a handheld device with and without support."

description: This paper concerns the difference between expected comfort and experienced comfort and the association between discomfort in the head region and recorded neck angle. Twenty-four participants were asked to use their smartphone with and without a holder in a train seat and then to rate their expected and experienced comfort. Participants mentioned that the headrest should be softer, the armrest should be adapted, the backrest should give more support and the seat pan should be softer. This experience was significantly different from the expectations based on first sight. It shows that tactile experience adds information influencing comfort, but also the behaviour of performing the task in the seat is important to giving a good comfort score. The experience of the use is also needed to increase the quality of the suggestions for improvement. This study strengthens the theory that comfort, and discomfort expectations might differ from experienced comfort and strengthens the theory that there could be a relationship between experienced neck discomfort and recorded neck angles.
DOI: 10.5517/ccdc.csd.cc2gql3x
title: CCDC 2285819: Experimental Crystal Structure Determination

description: Related Article: Natalí Navarro, Claudia Núñez, Darío Espinoza, Karem Gallardo, Ivan Brito, Rodrigo Castillo|2023|Inorg.Chem.|62|17046|doi:10.1021/acs.inorgchem.3c02574
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: 10.4121/d21d9f66-3c46-4e15-9c32-455a8987ef3e
title: Data underlying the publication "Train Passengers’ Needs for the Seating Environment".

description: The number of train passengers using smartphones is continuously increasing, which directly influences their comfort on long-distance train journeys. In this study, data are gathered to improve the train passenger’s seating environment. Thirteen experienced train travellers were invited to participate and were separated into a student, employee and elderly group. First, the problem was explored followed by a cocreation session in which ideas were generated to improve smartphone use in the vehicle interior. The results showed that the younger group and the employee group mainly used their smartphones for listening to music, watching videos, reading and chatting, while the elderly group were doing other activities such as gazing out of the window, reading and working on a laptop. The smartphone use was mainly done using the right hand. They held the smartphone in both hands while texting The cocreation showed that passengers need more support for a smartphone use, like an arm support and a holder. This research is useful for the train, car, bus and airplane seat suppliers to create new designs for the passengers’ comfort that fit the performed tasks.
DOI: 10.4121/d21d9f66-3c46-4e15-9c32-455a8987ef3e.v1
title: Data underlying the publication "Train Passengers’ Needs for the Seating Environment".

description: The number of train passengers using smartphones is continuously increasing, which directly influences their comfort on long-distance train journeys. In this study, data are gathered to improve the train passenger’s seating environment. Thirteen experienced train travellers were invited to participate and were separated into a student, employee and elderly group. First, the problem was explored followed by a cocreation session in which ideas were generated to improve smartphone use in the vehicle interior. The results showed that the younger group and the employee group mainly used their smartphones for listening to music, watching videos, reading and chatting, while the elderly group were doing other activities such as gazing out of the window, reading and working on a laptop. The smartphone use was mainly done using the right hand. They held the smartphone in both hands while texting The cocreation showed that passengers need more support for a smartphone use, like an arm support and a holder. This research is useful for the train, car, bus and airplane seat suppliers to create new designs for the passengers’ comfort that fit the performed tasks.
DOI: 10.4121/79a62b5f-2881-4520-b031-e03334c02aad
title: Supplementary information: Analysis of natural variation in photosynthesis in a panel of Brassicaceae species

description: This data supports the conclusions derived from an high- and low-throughput investigation of natural variation in photosynthetic light-use efficiency (LUE), and a number of traits potentially correlated to it, in a panel of ten Brassicaceae species. In this study, I performed an analysis of photosynthetic efficiency at high irradiance in ten species that reflect key evolutionary events within the Brassicaceae family: <em style="background-color:rgb(255, 250, 234);">Arabidopsis thaliana</em>, <em style="background-color:rgb(255, 250, 234);">Brassica oleracea</em>,<em style="background-color:rgb(255, 250, 234);"> Brassica nigra</em>, <em style="background-color:rgb(255, 250, 234);">Brassica rapa</em>, <em style="background-color:rgb(255, 250, 234);">Brassica tournefortii</em>, <em style="background-color:rgb(255, 250, 234);">Erucastrum littoreum</em>, <em style="background-color:rgb(255, 250, 234);">Hirschfeldia incana</em>, <em style="background-color:rgb(255, 250, 234);">Sinapis alba</em>, <em style="background-color:rgb(255, 250, 234);">Sisymbrium irio</em>, and <em style="background-color:rgb(255, 250, 234);">Zahora ait-atta</em>. I made use of high-throughput phenotyping techniques to measure photosynthetic efficiency, and integrated these measurements with other image-based parameters, such as the Excess Green Index (ExGI) and the Normalized Difference Vegetation Index (NDVI), as well as a range of anatomical and biochemical characteristics that potentially influence photosynthetic efficiency. I then explored the resulting multivariate dataset using various statistical methods to identify trends across species and investigated if more species within the Brassicaceae family show high-photosynthetic LUE at high irradiance. Furthermore, I assessed the alignment of these trends with the evolutionary history of the Brassicaceae family. This study delivers a detailed description of inter-specific variation in photosynthetic parameters for the Brassicaceae family, completed by a selection of anatomical and biochemical characteristics that may play a role in supporting high photosynthetic LUE under high irradiance. The gained insights will be important in developing strategies to enhance the photosynthetic LUE at high irradiance of crop species.
DOI: 10.4121/79a62b5f-2881-4520-b031-e03334c02aad.v2
title: Supplementary information: Analysis of natural variation in photosynthesis in a panel of Brassicaceae species

description: This data supports the conclusions derived from an high- and low-throughput investigation of natural variation in photosynthetic light-use efficiency (LUE), and a number of traits potentially correlated to it, in a panel of ten Brassicaceae species. In this study, I performed an analysis of photosynthetic efficiency at high irradiance in ten species that reflect key evolutionary events within the Brassicaceae family: <em style="background-color:rgb(255, 250, 234);">Arabidopsis thaliana</em>, <em style="background-color:rgb(255, 250, 234);">Brassica oleracea</em>,<em style="background-color:rgb(255, 250, 234);"> Brassica nigra</em>, <em style="background-color:rgb(255, 250, 234);">Brassica rapa</em>, <em style="background-color:rgb(255, 250, 234);">Brassica tournefortii</em>, <em style="background-color:rgb(255, 250, 234);">Erucastrum littoreum</em>, <em style="background-color:rgb(255, 250, 234);">Hirschfeldia incana</em>, <em style="background-color:rgb(255, 250, 234);">Sinapis alba</em>, <em style="background-color:rgb(255, 250, 234);">Sisymbrium irio</em>, and <em style="background-color:rgb(255, 250, 234);">Zahora ait-atta</em>. I made use of high-throughput phenotyping techniques to measure photosynthetic efficiency, and integrated these measurements with other image-based parameters, such as the Excess Green Index (ExGI) and the Normalized Difference Vegetation Index (NDVI), as well as a range of anatomical and biochemical characteristics that potentially influence photosynthetic efficiency. I then explored the resulting multivariate dataset using various statistical methods to identify trends across species and investigated if more species within the Brassicaceae family show high-photosynthetic LUE at high irradiance. Furthermore, I assessed the alignment of these trends with the evolutionary history of the Brassicaceae family. This study delivers a detailed description of inter-specific variation in photosynthetic parameters for the Brassicaceae family, completed by a selection of anatomical and biochemical characteristics that may play a role in supporting high photosynthetic LUE under high irradiance. The gained insights will be important in developing strategies to enhance the photosynthetic LUE at high irradiance of crop species.
DOI: 10.5519/qd.4fp61ba5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.4121/db3fa9e7-c63d-4461-85b0-0e2a8275a632
title: Data underlying the MSc thesis: A Life Cycle Perspective for Sustainable Real Estate Investment Decision-Making

description: The research objective was a research and development process for a tailor made LCC-tool with the integration of environmental impact in monetary terms, for a real estate-investment fund. This R&D process ensured preservation of the acquired knowledge. The resulting Environmental Impact (EI)- Life Cycle Costing (LCC) tool (EI-LCC tool) can be found in the files. The data type within the tool consist of 1) environmental impact data extracted from environmental product declarations (EPDs). 2) financial data to show how an LCC-tool could be developed. The resulting outcomes of the tool (MKI, CO2-eq and nominal cost and total costs from a complete life cycle) are the first results required for sub-sequent steps and the implementation. How to implement the results is recommended for future research.
DOI: 10.4121/db3fa9e7-c63d-4461-85b0-0e2a8275a632.v1
title: Data underlying the MSc thesis: A Life Cycle Perspective for Sustainable Real Estate Investment Decision-Making

description: The research objective was a research and development process for a tailor made LCC-tool with the integration of environmental impact in monetary terms, for a real estate-investment fund. This R&D process ensured preservation of the acquired knowledge. The resulting Environmental Impact (EI)- Life Cycle Costing (LCC) tool (EI-LCC tool) can be found in the files. The data type within the tool consist of 1) environmental impact data extracted from environmental product declarations (EPDs). 2) financial data to show how an LCC-tool could be developed. The resulting outcomes of the tool (MKI, CO2-eq and nominal cost and total costs from a complete life cycle) are the first results required for sub-sequent steps and the implementation. How to implement the results is recommended for future research.
DOI: 10.5281/zenodo.10041572
title: Source gels for TECprobe validation experiments

description: Raw source gels for validation experiments performed during the development of the Transcription Elongation Complex RNA structure probing (TECprobe) method.
DOI: 10.5281/zenodo.10041573
title: Source gels for TECprobe validation experiments

description: Raw source gels for validation experiments performed during the development of the Transcription Elongation Complex RNA structure probing (TECprobe) method.
DOI: 10.5281/zenodo.10041577
title: Optimizing Bank Loan Approval with Cutting-Edge Deep Learning model

description: Abstract
For any bank or financial institution, managing loans and controlling leverage is one of the mostimportant tasks they have to undertake. A bank cannot function efficiently without a well-designed loan-to-deposit business model. As technology continues to evolve, the mechanism ofhandling and granting loans underwent a significant change with the introduction of use casesconcerning machine learning and data science.Hence, this data-driven research utilized advanced machine learning techniques to analyze andmanipulate the data, aiming to predict the best possible way to recommend a loan to a client.These predictions are based on modified yet unique features created from the data obtained fromthe client. The dataset was tested using two different methodologies: a logistic regression modeland a Neural Network algorithm. Both of these methodologies produced high-level accuracyrates. However, the latter outperformed the currently used methodologies by over 20%, resultingin an accuracy of 90%.The successful research results were obtained due to the use of a perfectly balanced, unbiased,and cleaned dataset, as well as the well-executed combination of activation functions for theNeural Network model. A performance assessment was conducted based on a confusion matrixevaluation to demonstrate its feasibility and performance
DOI: 10.5281/zenodo.10041576
title: Optimizing Bank Loan Approval with Cutting-Edge Deep Learning model

description: Abstract
For any bank or financial institution, managing loans and controlling leverage is one of the mostimportant tasks they have to undertake. A bank cannot function efficiently without a well-designed loan-to-deposit business model. As technology continues to evolve, the mechanism ofhandling and granting loans underwent a significant change with the introduction of use casesconcerning machine learning and data science.Hence, this data-driven research utilized advanced machine learning techniques to analyze andmanipulate the data, aiming to predict the best possible way to recommend a loan to a client.These predictions are based on modified yet unique features created from the data obtained fromthe client. The dataset was tested using two different methodologies: a logistic regression modeland a Neural Network algorithm. Both of these methodologies produced high-level accuracyrates. However, the latter outperformed the currently used methodologies by over 20%, resultingin an accuracy of 90%.The successful research results were obtained due to the use of a perfectly balanced, unbiased,and cleaned dataset, as well as the well-executed combination of activation functions for theNeural Network model. A performance assessment was conducted based on a confusion matrixevaluation to demonstrate its feasibility and performance
DOI: 10.5281/zenodo.8096715
title: Fourier transform infrared spectroscopy spectra from North Anatolian fault peridotite xenoliths

description: Fourier transform infrared spectroscopy spectra from North Anatolian fault peridotite xenoliths.
DOI: 10.5281/zenodo.8096714
title: Fourier transform infrared spectroscopy spectra from North Anatolian fault peridotite xenoliths

description: Fourier transform infrared spectroscopy spectra from North Anatolian fault peridotite xenoliths.
DOI: 10.5281/zenodo.10038937
title: Gaussian-accelerated Molecular Dynamics simulations of CCR8-CCL1-Gprotein complex in a POPC lipid bilayer

description: Gaussian-accelerated Molecular Dynamics simulations of the CCR8-CCL1-Gprotein complex in a POPC lipid bilayer. Simulation system was prepared with OpenMM v7.7 and simulations were performed using the GaMD-OpenMM package (https://github.com/MiaoLab20/gamd-openmm) with a modification to include the MDTraj h5 file formate reporter as the output file format. These simulations were then converted to pdb topologies and dcd trajectories using MDTraj. 
Files include:
CCL1_CCR8_noSer23_oriented_repaired1_system.pdb : system topology
CCL1_CCR8_config.xml : config for running GaMD-OpenMM
CCL1_CCR8_N_1ns_imaged_structure.pdb : initial topology/structure
CCL1_CCR8_N_1ns_imaged_trajectory.dcd : trajectory file
 
Simulations can be loaded in python using MDTraj:
import mdtraj
trj = mdtraj.load(<dcd file>, top=<pdb file>)
DOI: 10.5281/zenodo.10038936
title: Gaussian-accelerated Molecular Dynamics simulations of CCR8-CCL1-Gprotein complex in a POPC lipid bilayer

description: Gaussian-accelerated Molecular Dynamics simulations of the CCR8-CCL1-Gprotein complex in a POPC lipid bilayer. Simulation system was prepared with OpenMM v7.7 and simulations were performed using the GaMD-OpenMM package (https://github.com/MiaoLab20/gamd-openmm) with a modification to include the MDTraj h5 file formate reporter as the output file format. These simulations were then converted to pdb topologies and dcd trajectories using MDTraj. 
Files include:
CCL1_CCR8_noSer23_oriented_repaired1_system.pdb : system topology
CCL1_CCR8_config.xml : config for running GaMD-OpenMM
CCL1_CCR8_N_1ns_imaged_structure.pdb : initial topology/structure
CCL1_CCR8_N_1ns_imaged_trajectory.dcd : trajectory file
 
Simulations can be loaded in python using MDTraj:
import mdtraj
trj = mdtraj.load(<dcd file>, top=<pdb file>)
DOI: 10.6084/m9.figshare.24437920
title: Leaf impulse responses

description: Impulse responses from single leaves. Each IR is 400 dimensional, and the labels correspond to leaf species, leaf size, elevation viewing angle and azimuth angle.
DOI: 10.5281/zenodo.8091177
title: Data for "A DNA turbine powered by a transmembrane potential across a nanopore"

description: Data for "A DNA turbine powered by a transmembrane potential across a nanopore"
DOI: 10.5281/zenodo.10041653
title: Few species, higher abundance or many species and lower abundance of birds of prey: effects of land use changes at different spatial scales
DOI: 10.5281/zenodo.10041652
title: Few species, higher abundance or many species and lower abundance of birds of prey: effects of land use changes at different spatial scales
DOI: 10.5281/zenodo.10041670
title: Questions and Answers of a Survey Related to the Use of Dublin Core to Register Metadata Generated in Software Engineering Experiments.

description: Questions were presented and answers were collected during the application of the survey.
DOI: 10.5281/zenodo.10041669
title: Questions and Answers of a Survey Related to the Use of Dublin Core to Register Metadata Generated in Software Engineering Experiments.

description: Questions were presented and answers were collected during the application of the survey.
DOI: 10.5517/ccdc.csd.cc25382n
title: CCDC 1999130: Experimental Crystal Structure Determination

description: Related Article: Li-Hua Su, Yun-Bao Ma, Chang-An Geng, Tian-Ze Li, Xiao-Yan Huang, Jing Hu, Xin-Zhang, Shuang Tang, Cheng Shen, Zhen Gao, Xue-Mei Zhang, Ji-Jun Chen|2021|Bioorg.Chem.|114|105072|doi:10.1016/j.bioorg.2021.105072
description: Related Article:  Ji-Jun Chen, Li-Hua Su, Yun-Bao Ma, Chang-An Geng, Tian-Ze Li, Xiao-Yan Huang, Jing Hu, Xue-Mei Zhang|2023|U.S.Patents|||
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.cc26skf0
title: CCDC 2049392: Experimental Crystal Structure Determination

description: Related Article: Li-Hua Su, Yun-Bao Ma, Chang-An Geng, Tian-Ze Li, Xiao-Yan Huang, Jing Hu, Xin-Zhang, Shuang Tang, Cheng Shen, Zhen Gao, Xue-Mei Zhang, Ji-Jun Chen|2021|Bioorg.Chem.|114|105072|doi:10.1016/j.bioorg.2021.105072
description: Related Article:  Ji-Jun Chen, Li-Hua Su, Yun-Bao Ma, Chang-An Geng, Tian-Ze Li, Xiao-Yan Huang, Jing Hu, Xue-Mei Zhang|2023|U.S.Patents|||
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: 10.7910/dvn/7a5ii4
title: Datasets and documentation: Phase I Birhan study

description: This publication contains the datasets and documentation (codebooks, SOPs, and questionnaires) resulting from the Phase I Birhan study, conducted between December 2018 and November 2022. The documents are organized in two groups: MCH, related to the pregnancy and child cohort, and HDSS, related to the health and demographic surveillance system in the Birhan field site.
DOI: 10.5281/zenodo.10041699
title: D.O. Bezzubov, S.I. Moskalenko Legal Aspects of the Renewal by Administrative Courts of the Missed Procedure Term under the Conditions of Martial Law

description: This article discloses topical issues of legal aspects of the renewal by administrative courts of the missed procedural period in the conditions of martial law.
The opinion expressed is that the resolution of the issue regarding the renewal of the missed procedural term is an evaluative one, and its resolution rests on the discretion of the court, that is, it is within the discretionary powers of the court.
The applicant's compliance with the above-mentioned conditions regarding the substantiation of the "significance of the reasons for missing" the procedural terms does not oblige the administrative court to make a decision on the renewal of the missed procedural term.
Analyzing the content of part 1 of Article 121 of the Criminal Procedure Code and its interpretation by the administrative courts of Ukraine, we can come to the conclusion that the introduction of martial law on the territory of Ukraine without reference to objectively insurmountable circumstances, in the presence of significant obstacles or difficulties that made it impossible or difficult to timely apply to the administrative to the court within the period specified by law, is not an unconditional basis for renewing the missed procedural period.
It is worth noting that although some administrative courts require applicants to provide the most complete justification of the reasons for missing the procedural deadline, this does not limit the administrative court at its own discretion to evaluate the arguments and evidence of the applicant for the renewal of the missed deadline, which may cause a dispute with the opponent in in connection with the groundless renewal of procedural terms by the court.
In order to achieve legal certainty in public-legal relations, Article 118 of the Civil Code of Ukraine provides for the determination of terms in the administrative process, which is the basis for the conscientious attitude of the participants in the judicial process to the performance of their duties
The administrative court's satisfaction of an unmotivated application for the renewal of the missed term may lead to a discriminatory situation in relation to other subjects of the appeal and violate the principle of equality of parties in administrative proceedings.
Supplementing the procedural law with norms that would clearly define the mandatory grounds for renewing the missed procedural term, including in connection with the consequences of military aggression on the territory of Ukraine, would eliminate legal uncertainty regarding the limits of the application of discretionary powers by the administrative court and would eliminate any assumptions of the participants in the court process regarding the violation of the principle of equality of the parties.
Keywords: administrative proceedings, procedural term, missing the procedural term, Code of Administrative Proceedings of Ukraine, seriousness of reasons for skipping, martial law.