cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8407895
title: Data for the legacy BioLiP1 database, part 1.

description: This is the web service data for version 1 of the BioLiP database, last update in April 01, 2022. Due to file size limit of zenodo, the full data is split into two parts (https://doi.org/10.5281/zenodo.8407896 and https://zenodo.org/record/8407920). To concatenate and decompress the files after downloading the two split parts:<br> $ cat BioLiP1aa BioLiP1ab &gt; BioLiP.tar.bz2<br> $ tar -xvf BioLiP.tar.bz2
DOI: 10.17632/hzff32hgpc.1
title: Codificación de encuadres visuales de candidatos políticos basada en Grabe y Bucy (2009 y 2011)

description: Adaptación de la la codificación de encuadres visuales de los candidatos políticos empleados por Grabe y Bucy (Grabe & Bucy, 2009, 2011) en donde se consideran 3 posibles perfiles (candidato ideal, activista populista y perdedor seguro) con 28 ítems.
DOI: 10.17632/ttxb7nt4cr.1
title: The influence of explicit and implicit visual cues on individual perceptual characteristics and social behaviors and their association with autistic traits

description: Four groups of Chinese college students participated in the research: Study 1 examined how these cues affect individual perceptual characteristics and their association with autistic traits (n1a=40; n1b=42). Study 2 examined how these cues affect individual dishonest behavior and their association with autistic traits (n2a=43; n2b=43). The results indicate that individuals are more sensitive to faces with direct gaze and larger pupils. Moreover, when faced with social objects exhibiting these cues, individuals' dishonest behavior decreases. We also found that individuals with higher levels of autistic traits are less sensitive to gaze direction in non-social tasks but more affected by gaze direction in social tasks. However, there was no correlation between the level of autistic traits and changes in implicit visual cues.
DOI: 10.17632/f2vbvbnj4x.1
title: Sentiment Paper dataset

description: Is there a distinct selection dimension of Generation Z that influences purchasing sentiments? Is gender have significant impact towards consumer purchasing sentiments among Generation Z? The Integrated Customer Service Management (ICSM) is made up of four Likert multi-item scales. The ICSM is a multifaceted tool used for analyzing the mood or attitude of the home sector towards consumer marketing and it’s a lot functional component.
DOI: 10.17632/p9yfkr6vjf.1
title: PM2.5 surcafe air concentrations (1998-2021) and human emissions (1993-2020) in Argentina by Census Block

description: This data set includes data on PM2.5 surface air concentration and PM2.5 emissions from human sources by census block in Argentina. Census block are the minimal administrative unit. Census blocks can be combined in departments and provinces, and thus this data set can be used along with other sociodemographical and health datasets
DOI: 10.17632/p5w6kffxt4.1
title: Carbon Emissions and Oil Volumes in Russia on the Base of Scenario Approach

description: Carbon Emissions and Oil Volumes in Russia on the Base of Scenario Approach
DOI: 10.17632/dsm8j3fhck.1
title: Dataset on the power dissipated by rolling resistance of a prototype photovoltaic electric vehicle while varying the mass.

description: An electric vehicle requires an ample amount of power to function smoothly. The development of this generator aims to cater to the energy requirements of remote areas. The vehicle is equipped with electric motors that possess a power of 3000 W and are integrated into the rear wheels, allowing efficient movement. In order to move, the generator must overcome several types of resistance with rolling resistance being one of them. The calculation of rolling resistance incorporates the traction coefficient, which takes into consideration the inflation pressure. Furthermore, the rolling coefficient, resulting from the local deformation of the tyre under load at the wheels, produces a resistive torque causing power dissipation. An experimental electric vehicle protocol was employed to collect data, enabling the recording of various speeds and corresponding powers.
DOI: 10.17632/pdr5h2p2rx.1
title: Paediatric pattern VEP P100 reference data

description: These data describe the biological variability of the pattern VEP P100 amplitude and peak time. Data were recorded from volunteer reference subjects aged 0-16 years at three European centres, adhereing broadly to the ISCEV Standard. Their analysis and key findings are presented in [paper citation].
DOI: 10.17632/s5gkf4yw7d.1
title: LC-MS/MS-QTOF dataset of chlorophyll derivatives and chemical compounds detected in Green Honey (GH) and Tualang Honey (TH) from Malaysia

description: This is the first dataset of chemical compounds and chlorophyll components for green honey based on target and untargeted analysis. The LC-MS/MS targeted base analysis was performed for the identification of chlorophyll and its derivatives found in green honey samples, and the untargeted base analysis was performed for the identification of various chemical compounds found in green honey. The compound names, mass-to-charge values, Species, retention times, and many other METLIN database search hit identities are included in this dataset.
DOI: 10.17632/p9wfxcwn4x.1
title: Autism

description: Autism Behaviour Video
DOI: 10.17632/k8nkzv5r6k.1
title: Morphology in Sceloporus mucronatus

description: Database of some morphometric variables of S. mucronatus
DOI: 10.17632/ng7pj2hzhh.1
title: Association Between Out-of-Pocket Expense and Patient Satisfaction with Cutaneous Surgery: A Prospective, Randomized Study

description: Supplemental tables and figure for Association Between Out-of-Pocket Expense and Patient Satisfaction with Cutaneous Surgery: A Prospective, Randomized Study
DOI: 10.17632/4zhxxtzf88.1
title: Modulation of properties of self-healing cross-linker free gelatin alginate hydrogels using Hofmeister salts

description: The insights into the physical interactions within cross-linker-free hydrogels can unlock a new horizon on the modulation of their properties. The impact of interactions between Hofmeister salts and polymers on these hydrogels is unknown. This article considers the effect of four different salts and their mixtures on the design of cross-linker-free self-healing gelatin-alginate hydrogels. The impact of these salts on drug release, swelling, degradation and rheological properties is represented using a 3-D plot to identify optimum samples. It is concluded from the kinectic studies that kosmotropes show better release and swelling when compared to chaotropes. The hydrogels prepared with kosmotropes also show faster degradation which can be overcome using a kosmotrope and chaotrope mixture. The interactions between polymers and the salts are identified using dynamic light scattering and H-bond interactions (FTIR/ATR studies) and then corroborated with drug release, swelling, degradation and rheological analyses. Finally, the self-healing behaviour of hydrogels is studied, and structure recovery after its destruction is calculated. Another 3-D plot is generated considering the release kinetics, gel strength, and recovery percentage (three important factors for self-healing hydrogels) and optimum samples are identified. It is concluded that chaotropes show better self-healing behaviour (in terms of structure recovery). However, when gel strength, release kinetics and self-healing are considered, kosmotropes are favourable. It is also concluded that electrostatic forces from salts hinder the H-bonds formation.
DOI: 10.17632/4zhxxtzf88.2
title: Modulation of properties of self-healing cross-linker free gelatin alginate hydrogels using Hofmeister salts

description: The insights into the physical interactions within cross-linker-free hydrogels can unlock a new horizon on the modulation of their properties. The impact of interactions between Hofmeister salts and polymers on these hydrogels is unknown. This article considers the effect of four different salts and their mixtures on the design of cross-linker-free self-healing gelatin-alginate hydrogels. The impact of these salts on drug release, swelling, degradation and rheological properties is represented using a 3-D plot to identify optimum samples. It is concluded from the kinectic studies that kosmotropes show better release and swelling when compared to chaotropes. The hydrogels prepared with kosmotropes also show faster degradation which can be overcome using a kosmotrope and chaotrope mixture. The interactions between polymers and the salts are identified using dynamic light scattering and H-bond interactions (FTIR/ATR studies) and then corroborated with drug release, swelling, degradation and rheological analyses. Finally, the self-healing behaviour of hydrogels is studied, and structure recovery after its destruction is calculated. Another 3-D plot is generated considering the release kinetics, gel strength, and recovery percentage (three important factors for self-healing hydrogels) and optimum samples are identified. It is concluded that chaotropes show better self-healing behaviour (in terms of structure recovery). However, when gel strength, release kinetics and self-healing are considered, kosmotropes are favourable. It is also concluded that electrostatic forces from salts hinder the H-bonds formation.
DOI: 10.17632/kts9ydvc62.1
title: Data of investigation of the presence or absence of anabolic steroids in food supplements used in sports practice

description: It concerns current important problem regarding presence of undeclared ingredients in FS, which compromises their safety. The professional athletes are not sufficiently aware of the health risks of using some FS, in particular testosterone stimulants, despite their awareness of anti-doping programs and prevention.
The study presents chromatographic analyses that confirmed the hypothesis for possible presence of undeclared steroid ingredients in food supplements, formulated by the authors and enabled the following conclusions: More than half of the tested food supplements contained undeclared anabolic steroids, all banned by WADA, as their quantity in one of the samples could be more than one (sample 16 contained 9 steroid substances). The authors also revealed that the information on the product label and package concealed the undeclared ingredients of the food supplement and claimed for high efficacy and safety.
DOI: 10.17632/kts9ydvc62.2
title: Data of investigation of the presence or absence of anabolic steroids in food supplements used in sports practice

description: It concerns current important problem regarding presence of undeclared ingredients in FS, which compromises their safety. The professional athletes are not sufficiently aware of the health risks of using some FS, in particular testosterone stimulants, despite their awareness of anti-doping programs and prevention.
The study presents chromatographic analyses that confirmed the hypothesis for possible presence of undeclared steroid ingredients in food supplements, formulated by the authors and enabled the following conclusions: More than half of the tested food supplements contained undeclared anabolic steroids, all banned by WADA, as their quantity in one of the samples could be more than one (sample 16 contained 9 steroid substances). The authors also revealed that the information on the product label and package concealed the undeclared ingredients of the food supplement and claimed for high efficacy and safety.
DOI: 10.17632/kts9ydvc62.3
title: Data of investigation of the presence or absence of anabolic steroids in food supplements used in sports practice

description: It concerns current important problem regarding presence of undeclared ingredients in FS, which compromises their safety. The professional athletes are not sufficiently aware of the health risks of using some FS, in particular testosterone stimulants, despite their awareness of anti-doping programs and prevention.
The study presents chromatographic analyses that confirmed the hypothesis for possible presence of undeclared steroid ingredients in food supplements, formulated by the authors and enabled the following conclusions: More than half of the tested food supplements contained undeclared anabolic steroids, all banned by WADA, as their quantity in one of the samples could be more than one (sample 16 contained 9 steroid substances). The authors also revealed that the information on the product label and package concealed the undeclared ingredients of the food supplement and claimed for high efficacy and safety.
DOI: 10.17632/kts9ydvc62.4
title: Data of investigation of the presence or absence of anabolic steroids in food supplements used in sports practice

description: It concerns current important problem regarding presence of undeclared ingredients in FS, which compromises their safety. The professional athletes are not sufficiently aware of the health risks of using some FS, in particular testosterone stimulants, despite their awareness of anti-doping programs and prevention. The study presents chromatographic analyses that confirmed the hypothesis for possible presence of undeclared steroid ingredients in food supplements, formulated by the authors and enabled the following conclusions: More than half of the tested food supplements contained undeclared anabolic steroids, all banned by WADA, as their quantity in one of the samples could be more than one (sample 16 contained 9 steroid substances). The authors also revealed that the information on the product label and package concealed the undeclared ingredients of the food supplement and claimed for high efficacy and safety.
DOI: 10.17632/yw5gg8sx22.1
title: Integrated multi-omics analyses identify anti-viral host factors and pathways controlling SARS-CoV-2 infection

description: RNAseq profiling of A549 cells following knockout of VTA1, DAZAP2, and KLF4, as well as non-targeting control (NC) gRNA.
DOI: 10.17632/rmx8kvbwmx.1
title: Development of Composite Building Material Based on Flax Straw Organic Waste: Hydrothermal and Physiochemical Properties

description: There are included two folders in the source: 1. Raw pictures of the Scanning Electronic Microscope (SEM) analysis of the composite's surface 2. Spectral analysis of the composite's surface with the energy dispersive X-ray spectroscopy (EDS) and retractable Backscattered Electron (BSE) detector of the microscope TESCAN VEGA SBU.
DOI: 10.17632/j7532rfvbb.1
title: Economic Growth and the Environment

description: Associated with a paper manuscript
DOI: 10.17632/y7ydsj63p4.1
title: PancreasMRData

description: Pancreatic assessment through magnetic resonance imaging (MRI) has become increasingly vital for diagnosing anomalies and pathologies, serving as a crucial prerequisite for numerous clinical applications, including diabetes inspection and surgical planning. However, automating pancreas segmentation in medical images remains a formidable challenge. In this paper, we introduce an innovative automated pancreas segmentation approach for MRI images utilizing 2D deep learning. Our methodology employs U-Net, ResU-Net, and nnU-Net architectures, capable of segmenting diverse pancreas samples and identifying pancreas presence/absence in adjacent slices, eliminating the need for manual region of interest or slice selection. Furthermore, we provide a unique and freely available dataset comprising MRI images from 37 patients post-bariatric surgery, greatly enhancing reproducibility and accessibility for AI model development. Our results demonstrate ResU-Net's superior performance with a Dice coefficient of 77.6% (36.55%), and Jaccard index of 69.36% (40.19%). Additionally, we offer a comprehensive critical analysis of the quantification of fatty infiltration, shedding light on potential biases when choosing individual models. Our contribution includes not only a high-quality unique dataset but also an automated approach that simplifies pancreas segmentation, advancing the field's research and clinical applications. Overview Pancreatic MRI images hold a large amount of useful information for medical diagnostics and research. In spite of this, segmenting these images, particularly in order to quantify fat fractions, can be challenging. A complex task is made more challenging by the unique nuances of the pancreas, along with the presence of surrounding fat and exclusions of the pancreatic duct. To advance research in this area, we present the following dataset: 37 Patients: A diverse range of scans that bring forth the variance needed for robust model training. Image Quality Assurance: Every scan of the T1 VIBE DIXON sequence underwent rigorous image quality assessment. Manual Annotations: To save researchers manual labor, the dataset comes with pancreas segmentations, double-checked by seasoned radiologists for accuracy. Motivation This dataset aims to be the bases for researchers looking to pioneer advancements in the area of precise pancreatic fat fraction quantification. Our goal is to provide users with comprehensive, quality-assured collections of images and annotations to enable them to develop innovative solutions, evaluate models, and ultimately improve medical outcomes. Dataset Structure Annotations: Contains annotations for each patient. Data Each patient has a dedicated folder, further divided by the type of MRI sequence. Raw_Dixon_Data: Water and Fat Dixon images, each containing data identified by patient IDs. Preprocessed_dataset: Contains preprocessed data organized by patient IDs.
DOI: 10.5281/zenodo.7992580
title: Low-glucose eating pattern and glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer

description: This dataset contains data collected and analysed for the paper, "<strong>A low-glucose eating pattern improves glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer: An exploratory analysis of an RCT"</strong>
DOI: 10.5281/zenodo.8423260
title: Low-glucose eating pattern and glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer

description: This dataset contains data collected and analysed for the paper, "<strong>A low-glucose eating pattern improves glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer: An exploratory analysis of an RCT"</strong>
DOI: 10.17632/8xnkpjm4nf.1
title: Data for Simultaneous production of bio-crude bio-oil via hydrothermal liquefaction and carotenoids

description: The data presented here are related to the research article entitled "Simultaneous production of bio-crude bio-oil via hydrothermal liquefaction and carotenoids via supercritical extraction from Nannochloropsis oceanica and recycling effluent to establish circular processes". This article is submitted in Journal of Cleaner Production. File 1: Data for Figure 1a File 2: Data for Figure 1b File 3: Data for Figure 1 c-g File 4: Data for Figure 4a File 5: Data for Figure 4 b-d
DOI: 10.5281/zenodo.7992581
title: Low-glucose eating pattern and glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer

description: This dataset contains data collected and analysed for the paper, "<strong>A low-glucose eating pattern improves glycemic variability in women without diabetes who are at risk for postmenopausal breast cancer: An exploratory analysis of an RCT"</strong>
DOI: 10.5281/zenodo.8423290
title: topical Roquinimex and its ‎combination with clobetasol

description: data set
DOI: 10.5517/ccdc.csd.cc2ggclx
title: CCDC 2277929: Experimental Crystal Structure Determination

description: Related Article: Rachel Slater, Graham Sandford, Dmitry S. Yufit|2023|CSD Communication|||
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.cc2ggn5s
title: CCDC 2278195: Experimental Crystal Structure Determination

description: Related Article: yinyin chen|2023|CSD Communication|||
description: Related Article: Yinyin Chen, Tianhua Cui, Hua Chen, Xue li Zheng, Haiyan Fu, Ruixiang Li|2023|Dalton Trans.|52|12368|doi:10.1039/D3DT01430D
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.cc2ggnxj
title: CCDC 2278218: Experimental Crystal Structure Determination

description: Related Article: Emma I. Parks, Graham Sandford, Dmitry S. Yufit|2023|CSD Communication|||
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.cc2ggr6x
title: CCDC 2278289: Experimental Crystal Structure Determination

description: Related Article: Emma I. Parks, Graham Sandford, Dmitry S. Yufit|2023|CSD Communication|||
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.cc2ggwnh
title: CCDC 2278427: Experimental Crystal Structure Determination

description: Related Article: Eric Anthony, Axel Klein|2023|CSD Communication|||
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.cc2ggxxs
title: CCDC 2278466: Experimental Crystal Structure Determination

description: Related Article: Roger Lalancette, Ivan Bernal, Mary Hanna|2023|CSD Communication|||
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.cc2ggxzv
title: CCDC 2278468: Experimental Crystal Structure Determination

description: Related Article: Roger Lalancette, Ivan Bernal, Gerges Niem|2023|CSD Communication|||
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.