cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/mrgzzvs4hn.1
title: Psychological Peculiarities of Understanding Brand Name in Form of a Male Name: Gender Aspect

description: Purpose. The purpose of this study is to analyze the psychological peculiarities of understanding the brand name in the form of a male name, to determine the trends and regularities of the brand name influence on the image of the nomination object and consumer expectations.
Research methods and techniques. Theoretical methods (deductive, inductive, analysis, synthesis, generalization) were used to build an empirical concept for studying the psychological peculiarities of understanding the brand name in the form of a personal name. The empirical study was conducted with a controlled association test and scaling. An oral survey in the form of an interview was used to collect information, and a content analysis was used to process the results. Mathematical data processing was carried out using primary statistics. In addition, interpretive methods were applied to explain the results obtained in terms of primary assumptions and references. 
Results. It was found that consumers in a rational understanding of a brand are guided by its name in a third of the cases. The male brand name has the most importance for children, and the least for men. In the sample of men, the name has the most influence on the perception of hairdressers, so a good name of a hairdresser can increase its visits by men by a quarter. Women consider the name the most, choosing hotels and hair salons with male names. And for children, the name has the most influence on the perception of the cafe, so the successful branding of a children's catering establishment depends almost half on a successful name. We also observe a trend that the more experience a respondent has with a certain object of nomination, the more influential the brand name is.

The influence of a male name on the object of nomination at the stage of emotional identification is most felt by children. This trend is consistent with the general finding that children are more emotional than adults. At the same time, the rational understanding of the brand name in the form of a male name mostly dominates the emotional understanding. 
Conclusions. In general, according to the results of the experimental study, it was established that the name of the brand in the form of a male name significantly affects the image of the object of the nomination and forms the corresponding expectations in almost a third of cases. This influence is mainly rational, so emotional understanding in this case is subordinate to rational.
     In terms of gender, the rational impact of a male brand name on the object of nomination is more significant for women than for men, and the emotional impact of male names is almost the same. Peculiarities have also been noticed in relation to children: their understanding of men's brand names is mainly rational, rational interpretation dominates over emotional interpretation. 
Key words: brand name, male name, emotional understanding, rational understanding, influence on the image of the nomination object.
DOI: 10.17632/knxbypdm7h.1
title: Game meat code book

description: Code book- game meat consumption
DOI: 10.17632/nnm8vyr6ff.1
title: he data used in this article are available from the authors through a formal request

description: Purpose: To find out if Russian and Aussie currents contribute to the effects of isokinetic training in patients with patellofemoral pain syndrome, and to compare their effectiveness on symptoms, pain, functional mobility, and quality of life.
Design: Fifty-nine patients with patellofemoral pain syndrome were randomized into four groups. One group received only isokinetic training, while others received Russian and Aussie current or placebo electrical stimulation additionally, during five-days a week, for three weeks. The outcome measures were the Patellofemoral Pain Severity Scale, Stair Climbing Test, Anterior Knee Pain Scale, Knee Outcome Survey Activities of Daily Living Scale, and Short Form-36, which were evaluated before and after the treatment programs and at the end of a three-week control period. 
Results: The severity of symptoms and pain decreased, and the functional mobility, activity limitations and quality of life improved significantly after interventions (p<0.05). These effects were maintained at the control period (p<0.05). The amount of change in Patellofemoral Pain Severity Scale and quality of life scores was higher in the Russian and Aussie current groups (p<0.05). 
Conclusion: IT is effective in improving the symptoms, pain, functionality and quality of life in patients with patellofemoral pain syndrome, and burst-modulated medium-frequency alternating currents can provide extra benefits especially on the symptoms, pain and quality of life.
DOI: 10.17632/3rpc3hv7wv.1
title: Data for the paper entitled "The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities" 

description: Experimental co-culture datasets (including 2-member, 3-member, and 4-member) for the paper entitled "The trade-off between individual metabolic specialization and versatility determines the metabolic efficiency of microbial communities" .
DOI: 10.17632/ccp94tgcp2.1
title: Non-Hemolytic and Non-Toxic Antimicrobial Peptides Commonly Identified from Cephalopods PSG by Three Prediction Models

description: The presented dataset comprises subsets of non-hemolytic antimicrobial peptides (AMPs), devoid from toxic signatures. These AMP subsets were identified using a consensus prediction approach that involved three machine learning (ML) models. The toxicity models were applied to non-hemolytic AMPs libraries (DOI: 10.17632/pvptjh7kmv.1), which originated from previously predicted AMPs (DOI: 10.17632/wwk7zzcfhv.1). These AMP libraries were derived from the screening of 13 peptide libraries (DOI: 10.17632/6fjsdnvygb.1) based on omics data from Cephalopods' Posterior Salivary Glands (DOI: 10.17632/gxmkytwdhx.1).
The provided dataset includes 13 peptide FASTA files, each meticulously annotated with information regarding the enzyme(s) involved in the in silico digestion process on the aforementioned omics data. The non-hemolytic and non-toxic AMPs are categorized based on the application of a single enzyme (OE) or two enzymes (TE), with the latter being applied either sequentially (S) or concurrently (C).
These identified non-hemolytic and non-toxic AMPs represent a unique and yet unexplored chemical landscape, holding immense potential to drive the discovery of novel peptide-based pharmaceutical agents.
DOI: 10.17632/7j9bv9vwsx.1
title: MLRSNet: A Multilabel High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding with Deep Learning

description: MLRSNet provides different perspectives of the world captured from satellites. That is, it is composed of high spatial resolution optical satellite images. MLRSNet contains 109,161 remote sensing images that are annotated into 46 categories, and the number of sample images in a category varies from 1,500 to 3,000. The images have a fixed size of 256×256 pixels with various pixel resolutions (~10m to 0.1m). Moreover, each image in the dataset is tagged with several of 60 predefined class labels, and the number of labels associated with each image varies from 1 to 13. The dataset can be used for multi-label based image classification, multi-label based image retrieval, and image segmentation. The Dataset includes: 1. Images folder: 46 categories, 109,161 high-spatial resolution remote sensing images. 2. Labels folders: each category has a .csv file. 3. Categories_names. xlsx: Sheet1 lists the names of 46 categories, and the Sheet2 shows the associated multi-label to each category.
DOI: 10.17632/7j9bv9vwsx.2
title: MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

description: MLRSNet provides different perspectives of the world captured from satellites. That is, it is composed of high spatial resolution optical satellite images. MLRSNet contains 109,161 remote sensing images that are annotated into 46 categories, and the number of sample images in a category varies from 1,500 to 3,000. The images have a fixed size of 256×256 pixels with various pixel resolutions (~10m to 0.1m). Moreover, each image in the dataset is tagged with several of 60 predefined class labels, and the number of labels associated with each image varies from 1 to 13. The dataset can be used for multi-label based image classification, multi-label based image retrieval, and image segmentation. The Dataset includes: 1. Images folder: 46 categories, 109,161 high-spatial resolution remote sensing images. 2. Labels folders: each category has a .csv file. 3. Categories_names. xlsx: Sheet1 lists the names of 46 categories, and the Sheet2 shows the associated multi-label to each category.
DOI: 10.17632/7j9bv9vwsx.4
title: MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

description: MLRSNet provides different perspectives of the world captured from satellites. That is, it is composed of high spatial resolution optical satellite images. MLRSNet contains 109,161 remote sensing images that are annotated into 46 categories, and the number of sample images in a category varies from 1,500 to 3,000. The images have a fixed size of 256×256 pixels with various pixel resolutions (~10m to 0.1m). Moreover, each image in the dataset is tagged with several of 60 predefined class labels, and the number of labels associated with each image varies from 1 to 13. The dataset can be used for multi-label based image classification, multi-label based image retrieval, and image segmentation.

The Dataset includes:
1.	Images folder: 46 categories, 109,161 high-spatial resolution remote sensing images.
2.	Labels folders: each category has a .csv file.
3.	Categories_names. xlsx: Sheet1 lists the names of 46 categories, and the Sheet2 shows the associated multi-label to each category.
DOI: 10.17632/wjvn8j82kr.1
title: DATA SET ON HUMAN DEVELOPMENT INDEX FOR INFORMAL SETTLEMENT IN ENUGU CITY , NIGERIA

description: The methodology of HDI was employed in calculating the human development index of residents of informal settlements in the city of Enugu. Using the geometric mean of the 3 study variables, the inclusive input factor for the determination of the Human Development Index is given by the following equation
HDI = 3√W I * E D I* S D I
Where; WI: Wealth Index
EDI: Quality Housing/ Environment Index
SDI: Social protection Index
DOI: 10.17632/bk3fc8x7fj.1
title: Can Drawings Really Facilitate Children’s Symbolic Understanding of Metaphor: The Impact of Drawing Skills and Metaphor Explicitness

description: Data for the research article: Can Drawings Really Facilitate Children’s Symbolic Understanding of Metaphor: The Impact of Drawing Skills and Metaphor Explicitness
DOI: 10.17632/jt7w946j32.3
title: Dataset of "Effect of intermolecular interactions on the glass transition temperature of chemically modified alternating  polyketones"

description: This dataset contains theoretical data on the study of glass transition phase of five polyketone-based polymers. The dataset includes the following:
1) Theoretical studies.
1.a. Optimized geometries: The molecular structures of the molecular interactions were presented in cartesian coordinates and pdb formats.
1.b. Independent Gradient Model (IGM) Surfaces: Cube file format of the calculated intermolecular and intramolecular interactions.
1.c. Energy Decomposition Analysis using Absolutely localized Molecular Orbitals: The stabilizing and destabilizing energy contributions for each polyketones are displayed in datasheets.

These results rationalize the Temperature of Glass transition phase of polyketone-based polymers PK50: PK50BEA, PK50HAMC, PK50HEXYL, and PK50IM. The glass transition temperatures were  obtained from thermogravimetric analysis. The interactions between polymer chains were characterized by FTIR and XPS spectroscopy, and the obtained data were analyzed and discussed using DFT methods to model how functional groups interact in the polymer.
Acknowledgements
This work received financial support from the “Programa Formacion de Capital Humano Avanzado Conicyt Becas Chile” Grant N°2117475, ANID/FONDECYT project N° 1210355, “Proyecto FONDECYT de Iniciación en Investigación” Grant No 11201111, and ANID/FONDEQUIP EQM180180. Financial support also came from the Advanced Materials research program of the Zernike National Research Centre under the Bonus Incentive Scheme (BIS) of the Dutch Ministry for Education, Culture and Science.
DOI: 10.17632/jt7w946j32.1
title: Dataset of "Effect of intermolecular interactions on the glass transition temperature of chemically modified alternating  polyketones"

description: This dataset contains theoretical data on the study of glass transition phase of five polyketone-based polymers. The dataset includes the following:
1) Theoretical studies.
1.a. Optimized geometries: The molecular structures of the molecular interactions were presented in cartesian coordinates.
1.b. Independent Gradient Model (IGM) Surfaces: Cube file format of the calculated intermolecular and intramolecular interactions.
1.c. Energy Decomposition Analysis using Absolutely localized Molecular Orbitals: The stabilizing and destabilizing energy contributions for each polyketones are displayed in datasheets.

These results rationalize the Temperature of Glass transition phase of polyketone-based polymers PK50: PK50BEA, PK50HAMC, PK50HEXYL, and PK50IM. The glass transition temperatures were  obtained from thermogravimetric analysis. The interactions between polymer chains were characterized by FTIR and XPS spectroscopy, and the obtained data were analyzed and discussed using DFT methods to model how functional groups interact in the polymer.
Acknowledgements
This work received financial support from the “Programa Formacion de Capital Humano Avanzado Conicyt Becas Chile” Grant N°2117475, ANID/FONDECYT project N° 1210355, “Proyecto FONDECYT de Iniciación en Investigación” Grant No 11201111, and ANID/FONDEQUIP EQM180180. Financial support also came from the Advanced Materials research program of the Zernike National Research Centre under the Bonus Incentive Scheme (BIS) of the Dutch Ministry for Education, Culture and Science.
DOI: 10.17632/jt7w946j32.2
title: Dataset of "Effect of intermolecular interactions on the glass transition temperature of chemically modified alternating  polyketones"

description: This dataset contains theoretical data on the study of glass transition phase of five polyketone-based polymers. The dataset includes the following:
1) Theoretical studies.
1.a. Optimized geometries: The molecular structures of the molecular interactions were presented in cartesian coordinates.
1.b. Independent Gradient Model (IGM) Surfaces: Cube file format of the calculated intermolecular and intramolecular interactions.
1.c. Energy Decomposition Analysis using Absolutely localized Molecular Orbitals: The stabilizing and destabilizing energy contributions for each polyketones are displayed in datasheets.

These results rationalize the Temperature of Glass transition phase of polyketone-based polymers PK50: PK50BEA, PK50HAMC, PK50HEXYL, and PK50IM. The glass transition temperatures were  obtained from thermogravimetric analysis. The interactions between polymer chains were characterized by FTIR and XPS spectroscopy, and the obtained data were analyzed and discussed using DFT methods to model how functional groups interact in the polymer.
Acknowledgements
This work received financial support from the “Programa Formacion de Capital Humano Avanzado Conicyt Becas Chile” Grant N°2117475, ANID/FONDECYT project N° 1210355, “Proyecto FONDECYT de Iniciación en Investigación” Grant No 11201111, and ANID/FONDEQUIP EQM180180. Financial support also came from the Advanced Materials research program of the Zernike National Research Centre under the Bonus Incentive Scheme (BIS) of the Dutch Ministry for Education, Culture and Science.
DOI: 10.17632/jt7w946j32.4
title: Dataset of "Effect of intermolecular interactions on the glass transition temperature of chemically modified alternating  polyketones"

description: This dataset contains theoretical data on the study of glass transition phase of five polyketone-based polymers. The dataset includes the following:
1) Theoretical studies.
1.1. Optimized geometries: The molecular structures of the molecular interactions were presented in cartesian coordinates and pdb formats.
1.2. Independent Gradient Model (IGM) Surfaces: Cube file format of the calculated intermolecular and intramolecular interactions.
1.3. Energy Decomposition Analysis using Absolutely localized Molecular Orbitals: The stabilizing and destabilizing energy contributions for each polyketones are displayed in datasheets.
2) Experimental Studies.
2.1. Elemental analysis.
2.2. FTIR in solution modified polyketones.
2.3. FTIR different temperatures.
2.4. NMR PK50 and modified polyketones.
2.5. XPS modified polyketones.
2.6. Differential scanning calorimetry.
These results rationalize the Temperature of Glass transition phase of polyketone-based polymers PK50: PK50BEA, PK50HAMC, PK50HEXYL, and PK50IM. The glass transition temperatures were  obtained from thermogravimetric analysis. The interactions between polymer chains were characterized by FTIR and XPS spectroscopy, and the obtained data were analyzed and discussed using DFT methods to model how functional groups interact in the polymer.
Acknowledgements
This work received financial support from the “Programa Formacion de Capital Humano Avanzado Conicyt Becas Chile” Grant N°2117475, ANID/FONDECYT project N° 1210355, “Proyecto FONDECYT de Iniciación en Investigación” Grant No 11201111, and ANID/FONDEQUIP EQM180180. Financial support also came from the Advanced Materials research program of the Zernike National Research Centre under the Bonus Incentive Scheme (BIS) of the Dutch Ministry for Education, Culture and Science. ANID/FONDECYT project N°3200270.
DOI: 10.17632/c348gts9xx.2
title: Education Process before and after using AI tools 

description: Dataset shows how AI tools impact students’ learning experiences from different aspects like quality of learning process, the needed time for learning, stress level and their grades levels.
DOI: 10.17632/c348gts9xx.1
title: Education Process before and after using AI tools 

description: Dataset shows how AI tools impact students’ learning experiences from different aspects like quality of learning process, the needed time for learning, stress level and their grades levels.
DOI: 10.17632/htntmccyd4.1
title: Non-Hemolytic and Non-Toxic Antimicrobial Peptides Predicted from Omics Data of Cephalopods' Posterior Salivary Glands

description: This dataset compiles non-hemolytic and non-toxic antimicrobial peptides (AMPs) consistently identified within omics data extracted from Cephalopods' Posterior Salivary Glands (PSG). It consists of a non-redundant set of these AMPs, predicted across 13 non-hemolytic/non-toxic AMP datasets reported in (doi: 10.17632/ccp94tgcp2.1). These datasets were derived from agreed non-hemolytic/non-toxic predictions by several models, applied to AMP libraries resulting from the screening of enzymatically-digested proteins extracted from Cephalopods' PSG (doi: 10.17632/6fjsdnvygb.1). This dataset represents a valuable source of privileged AMPs for further exploration and drug discovery
DOI: 10.17632/v38n3wbsrt.1
title: Coupling isothermal and adiabatic mode experiments for kinetic constants estimation

description: These data contained synthetic data and kinetic modeling results
DOI: 10.17632/k2xtnr4k6h.1
title: Vulcano Island (Sourthern Italy)_chemical and isotopic data of crater fumaroles

description: This dataset contains original chemical and and isotopic data of volcanic gases discharged from high-temperature fumaroles of La Fossa crater at Vulcano Island (Suthern Italy). 
- Geographical coordinates, sampling date, outlet temperatures, bulk chemical composition and hydrocarbon concentration ratios of collected volcanic gases from Vulcano are reported in Tables 1 and 2.
- Stable isotopic compositions of volcanic gases collected at La Fossa crater (Vulcano Island, Southern Italy) between 2015 and 2021 are lsted in Table 3.
- Hydrocarbon concentration ratios and stable isotope composition of methane and ethane of gases collected from fumarole F5b (i.e., fumarole F5 sampled on May 2017) with or without using the titanium tube are listed in Table 4.
-Results of the Principal Component Analysis (PCA) of H2O, CO2, N2, He, δ13C-CO2, T, H2, CO and CH4 are reported in Table 5.
- This dataset also include a compilation of data from previous published studies on the chemical composition and stable isotopes of volcanic gases discharged from high-temperature fumaroles at the La Fossa crater of Vulcano Island. These data are listed in Tabls S1.
- In addition, a detailed survey of published data of outlet gas temperature, methane and carbon dioxide concentrations and stable isotopic composition of CH4, H2, H2O, CO2 and CO of volcanic gases from active volcanic systems worldwide is also reported in Table S2.
- Corresponding references are also reported in a separate pdf file (Supplementary Material - reference list)
DOI: 10.17632/w26n6nftxs.2
title: Ground Penetrating Radar measure from quarries

description: The data set contain Ground Penetrating Radar (GPR) data from in-situ measurements in four ornamental stones quarry located in Italy (Botticino quarry) and Romania (Ruschita, Carpinis and Pietroasa quarries). The GPR data contains radargrams for discontinuities and fracture detection, besides of the geographic location of the measures. For each measurement site, a set of radargrams has been acquired in two orthogonal directions, allowing for a 3D reconstruction of the investigated site.
DOI: 10.17632/w26n6nftxs.1
title: Ground Penetrating Radar measure from quarries

description: The data set contain Ground Penetrating Radar (GPR) data from in-situ measurements in four ornamental stones quarry located in Italy (Botticino quarry) and Romania (Ruschita, Carpinis and Pietroasa quarries). The GPR data contains radargrams for discontinuities and fracture detection, besides of the geographic location of the measures. For each measurement site, a set of radargrams has been acquired in two orthogonal directions, allowing for a 3D reconstruction of the investigated site.
DOI: 10.17632/w26n6nftxs.3
title: Ground Penetrating Radar measures from quarries

description: The data set contain Ground Penetrating Radar (GPR) data from in-situ measurements in four ornamental stones quarry located in Italy (Botticino quarry) and Romania (Ruschita, Carpinis and Pietroasa quarries). The GPR data contains radargrams for discontinuities and fracture detection, besides of the geographic location of the measures. For each measurement site, a set of radargrams has been acquired in two orthogonal directions, allowing for a 3D reconstruction of the investigated site.