cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/t4hn5d8wmx.1
title: clustbench launches

description: This data is delays values and statistic parameters, which were collected using clustbench project.
Every folder contains five netcdf files: with 4-d matrix of individual values of delays and four 3-d matrix with information about median/deviation/average/minimum of delay series.
Each folder is named like that: <launch platform>_<test mode>_<launch config: <node num>x<tasks per node>>
DOI: 10.17632/t4hn5d8wmx.2
title: Clustbench launches

description: This data is delays values and statistic parameters, which were collected using clustbench project.
Every folder contains five netcdf files: with 4-d matrix of individual values of delays and four 3-d matrix with information about median/deviation/average/minimum of delay series.
Each folder is named like that: <launch platform>_<test mode>_<launch config: <node num>x<tasks per node>>
DOI: 10.17632/dv7x5hvwx3.1
title: Dataset of Optoelectrical properties of electrodeposited silver nanowire network transparent conducting electrodes and Cu(In, Ga)Se2 thin-film solar cells

description: The dataset was generated to offer detailed information on optoelectrical properties of electrodeposited silver nanowire network transparent conducting electrode and thin film solar cell performance vs. electrodeposition time. The dataset can be helpful to develop the electrodeposition process and achieve the improved properties of a thin film solar cell.
DOI: 10.17632/tpgsnk4928.1
title: The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam

description: The purpose of knowledge management in higher education is to increase the effectiveness of both knowledge and intellectual capital by accomplishing three main goals: increasing task quality and efficiency, training human resources at all levels of operation and expanding an organization's field knowledge base. This data's purpose was to shed light on how knowledge management influences the enthusiasm of university professors and their sense of job satisfaction. Knowledge acquisition, knowledge dissemination, and utilization are the three pillars of knowledge management systems that contribute to higher levels of academic staff’s teaching motivation and satisfaction. A self-administered questionnaire collected this data from 381 academics in Vietnam. Knowledge management system improvements can be based on the data analysis to improve faculty happiness and enthusiasm for academic staff in Higher Education Institutions.
DOI: 10.17632/tpgsnk4928.2
title: The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam

description: The purpose of knowledge management in higher education is to increase the effectiveness of both knowledge and intellectual capital by accomplishing three main goals: increasing task quality and efficiency, training human resources at all levels of operation and expanding an organization's field knowledge base. This data's purpose was to shed light on how knowledge management influences the enthusiasm of university professors and their sense of job satisfaction. Knowledge acquisition, knowledge dissemination, and utilization are the three pillars of knowledge management systems that contribute to higher levels of academic staff’s teaching motivation and satisfaction. A self-administered questionnaire collected this data from 676 academics in Vietnam. Knowledge management system improvements can be based on the data analysis to improve faculty happiness and enthusiasm for academic staff in Higher Education Institutions.
DOI: 10.17632/tpgsnk4928.3
title: The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam

description: The purpose of knowledge management in higher education is to increase the effectiveness of both knowledge and intellectual capital by accomplishing three main goals: increasing task quality and efficiency, training human resources at all levels of operation and expanding an organization's field knowledge base. This data's purpose was to shed light on how knowledge management influences the enthusiasm of university professors and their sense of job satisfaction. Knowledge acquisition, knowledge dissemination, and utilization are the three pillars of knowledge management systems that contribute to higher levels of academic staff’s teaching motivation and satisfaction. A self-administered questionnaire collected this data from 676 academics in Vietnam. Knowledge management system improvements can be based on the data analysis to improve faculty happiness and enthusiasm for academic staff in Higher Education Institutions.
DOI: 10.17632/tpgsnk4928.4
title: The effectiveness of knowledge management systems in motivation and satisfaction in higher education Institutions: Data from Vietnam

description: The purpose of knowledge management in higher education is to increase the effectiveness of both knowledge and intellectual capital by accomplishing three main goals: increasing task quality and efficiency, training human resources at all levels of operation and expanding an organization's field knowledge base. This data's purpose was to shed light on how knowledge management influences the enthusiasm of university professors and their sense of job satisfaction. Knowledge acquisition, knowledge dissemination, and utilization are the three pillars of knowledge management systems that contribute to higher levels of academic staff’s teaching motivation and satisfaction. A self-administered questionnaire collected this data from 676 academics in Vietnam. Knowledge management system improvements can be based on the data analysis to improve faculty happiness and enthusiasm for academic staff in Higher Education Institutions.
DOI: 10.17632/f452v9zf2g.1
title: Immunity pre and post biologic therapy

description: Dataset of patients immunity before and after commencing biologic therapy for psoriasis or HS
DOI: 10.17632/f452v9zf2g.2
title: Immunity pre and post biologic therapy

description: Dataset of patients immunity before and after commencing biologic therapy for psoriasis or HS
DOI: 10.17632/bbjfxnx96f.1
title: Ultraviolet-induced fluorescent dermoscopy for biopsy site identification prior to dermatologic surgery: A retrospective study.

description: Supplementary material for JAAD-D-23-00284
DOI: 10.17632/mfggb6ktz5.1
title: Vaccine hesitancy and media

description: Data for vaccine hesitancy & media paper.
DOI: 10.17632/ksjwg26gz2.1
title: Dermatology patient perspectives regarding consent, privacy, security, and identifiability of clinical photography at tertiary cancer center: A qualitative study

description: Supplemental information
DOI: 10.17632/76x2cvm73c.1
title: Dimensão existencial - dados coletados

description: Os dados são excertos das entrevistas realizadas como parte da coleta de dados da Tese de Doutorado intitulada "Teoria de Médio da Alcance da Dimensão Existencial do Ser-no-mundo da Doença Renal Crônica" como parte da avaliação para titulaçãod e doutor, realizado na Escola de Enfermagem da Universidade Federal do Rio Grande do Sul.
Foram entrevistados enfermeiros que trabalham no Serviço de Nefrologia, nas terapias renais substitutivas, técnicos de enfermagem que atuam na unidade de hemodiálise e pacientes das diferentes terapias renais substitutivas, buscando analisar as questões relacionadas a dimensão existencial do ser, sendo que os dados foram analisados a luz da Grande Teoria Humanística de Enfermagem de Paterson e Zderad (1979) e a Filosofia Existencialista de Martín Heidegger e Martín Buber.
DOI: 10.17632/sgzbgwjfkr.1
title: Brain Electrophysiological Recording during Olfactory Stimulation in Mild Cognitive Impairment and Alzheimer Disease Patients: An EEG Dataset

description: A total of 44 healthy elderly and MCI and AD patients participated in this experiment. The data of 6 participants were removed from further processing due to issues with EEG data recording, history of stroke, or traumatic brain injuries. Also, participants with any history of olfactory dysfunction were excluded from the study. The remaining 35 participants (age = 70.97±8.58, female = 57.14%) included 15 healthy (normal) individuals (age = 69.27±6.65, female = 53.33%), 7 MCI patients (age = 66.57±6.85, female = 51.14%), and 13 AD patients (age = 75.31±9.90, female = 61.54%).
An olfactory oddball perception task was performed on the participants. During this task, each participant was presented with a random sequence of two different odors. The sequence of odors was the same for all participants. One odor (lemon) was presented frequently (standard) with a probability of 0.75 and the other odor (rose) was presented non-frequently (deviant) with a probability of 0.25.
DOI: 10.17632/sgzbgwjfkr.2
title: Brain Electrophysiological Recording during Olfactory Stimulation in Mild Cognitive Impairment and Alzheimer Disease Patients: An EEG Dataset

description: A total of 44 healthy elderly and MCI and AD patients participated in this experiment. The data of 6 participants were removed from further processing due to issues with EEG data recording, history of stroke, or traumatic brain injuries. Also, participants with any history of olfactory dysfunction were excluded from the study. The remaining 35 participants (age = 70.97±8.58, female = 57.14%) included 15 healthy (normal) individuals (age = 69.27±6.65, female = 53.33%), 7 MCI patients (age = 66.57±6.85, female = 51.14%), and 13 AD patients (age = 75.31±9.90, female = 61.54%).
An olfactory oddball perception task was performed on the participants. During this task, each participant was presented with a random sequence of two different odors. The sequence of odors was the same for all participants. One odor (lemon) was presented frequently (standard) with a probability of 0.75 and the other odor (rose) was presented non-frequently (deviant) with a probability of 0.25.

The dataset consists of four files as follows: 
1)	“AD.mat”: Contains data for Alzheimer’s disease patients.
2)	“Normal.mat”: Contains data for healthy elderly participants. 
3)	“MCI.mat”: Contains data for amnestic mild cognitive impairment patients. 
4)	“MMSE_Data”: Contains demographic and MMSE data of all participants.

The structure of the first three files is the same as described below. These files are organized as structure arrays for use in MATLAB coding. However, the data can also be used with other programming languages like python (using the scipy package).

The fourth file includes demographic data of each participant as age in a range, their diagnosed mental state, and the details of their MMSE score. The columns indicate abbreviated MMSE test components as follows: O Place: Orientation to Place, O Time: Orientation to time, Reg: Registration, Att & Calc: Attention and Calculation, Rep: Repetition, DR: Delayed Recall, VS: Visuospatial, Comm: Commands.
DOI: 10.17632/sgzbgwjfkr.4
title: Brain Electrophysiological Recording during Olfactory Stimulation in Mild Cognitive Impairment and Alzheimer Disease Patients: An EEG Dataset

description: A total of 44 healthy elderly and MCI and AD patients participated in this experiment. The data of 6 participants were removed from further processing due to issues with EEG data recording, history of stroke, or traumatic brain injuries. Also, participants with any history of olfactory dysfunction were excluded from the study. The remaining 35 participants (age = 70.97±8.58, female = 57.14%) included 15 healthy (normal) individuals (age = 69.27±6.65, female = 53.33%), 7 MCI patients (age = 66.57±6.85, female = 51.14%), and 13 AD patients (age = 75.31±9.90, female = 61.54%).
An olfactory oddball perception task was performed on the participants. During this task, each participant was presented with a random sequence of two different odors. The sequence of odors was the same for all participants. One odor (lemon) was presented frequently (standard) with a probability of 0.75 and the other odor (rose) was presented non-frequently (deviant) with a probability of 0.25.

The dataset consists of four files as follows: 
1)	“AD.mat”: Contains data for Alzheimer’s disease patients.
2)	“Normal.mat”: Contains data for healthy elderly participants. 
3)	“MCI.mat”: Contains data for amnestic mild cognitive impairment patients. 
4)	“MMSE_Data”: Contains demographic and MMSE data of all participants.

The structure of the first three files is the same as described below. These files are organized as structure arrays for use in MATLAB coding. However, the data can also be used with other programming languages like python (using the scipy package).

The fourth file includes demographic data of each participant as age in a range, their diagnosed mental state, and the details of their MMSE score. The columns indicate abbreviated MMSE test components as follows: O Place: Orientation to Place, O Time: Orientation to time, Reg: Registration, Att & Calc: Attention and Calculation, Rep: Repetition, DR: Delayed Recall, VS: Visuospatial, Comm: Commands.
DOI: 10.17632/sgzbgwjfkr.5
title: Brain Electrophysiological Recording during Olfactory Stimulation in Mild Cognitive Impairment and Alzheimer Disease Patients: An EEG Dataset

description: A total of 44 healthy elderly and MCI and AD patients participated in this experiment. The data of 6 participants were removed from further processing due to issues with EEG data recording, history of stroke, or traumatic brain injuries. Also, participants with any history of olfactory dysfunction were excluded from the study. The remaining 35 participants (age = 70.97±8.58, female = 57.14%) included 15 healthy (normal) individuals (age = 69.27±6.65, female = 53.33%), 7 MCI patients (age = 66.57±6.85, female = 51.14%), and 13 AD patients (age = 75.31±9.90, female = 61.54%).
An olfactory oddball perception task was performed on the participants. During this task, each participant was presented with a random sequence of two different odors. The sequence of odors was the same for all participants. One odor (lemon) was presented frequently (standard) with a probability of 0.75 and the other odor (rose) was presented non-frequently (deviant) with a probability of 0.25.

The dataset consists of four files as follows: 
1)	“AD.mat”: Contains data for Alzheimer’s disease patients.
2)	“Normal.mat”: Contains data for healthy elderly participants. 
3)	“MCI.mat”: Contains data for amnestic mild cognitive impairment patients. 
4)	“MMSE_Data”: Contains demographic and MMSE data of all participants.

The structure of the first three files is the same as described below. These files are organized as structure arrays for use in MATLAB coding. However, the data can also be used with other programming languages like python (using the scipy package).

The fourth file includes demographic data of each participant as age in a range, their diagnosed mental state, and the details of their MMSE score. The columns indicate abbreviated MMSE test components as follows: O Place: Orientation to Place, O Time: Orientation to time, Reg: Registration, Att & Calc: Attention and Calculation, Rep: Repetition, DR: Delayed Recall, VS: Visuospatial, Comm: Commands.
DOI: 10.17632/2ynwykrfgf.1
title: Extended Covid Twitter Datasets

description: Wider spatiotemporal English COVID-19 Tweets
DOI: 10.17632/2byk625b28.1
title: data Konny Sandoval_Compost from Organic Waste

description: The production of compost is an alternative for the transformation of organic waste to fertilizer, with the purpose of improving different types of soil and accelerating the production of plant species. Aim:
Evaluate the effectiveness of Efficient Microorganisms through the physical-chemical parameters of the compost obtained from Organic solid waste
DOI: 10.17632/2byk625b28.2
title: data Konny Sandoval_Compost from Organic Waste

description: The production of compost is an alternative for the transformation of organic waste to fertilizer, with the purpose of improving different types of soil and accelerating the production of plant species. Aim:
Evaluate the effectiveness of Efficient Microorganisms through the physical-chemical parameters of the compost obtained from Organic solid waste
DOI: 10.17632/msbx83whkh.1
title: Role of Thermal Energy Storage & Hydrogen in the future energy system of Sweden in 2045

description: This data set contains three data files representing EnergyPLAN models of three systems - Sweden 2019, SWE_2045 & NFF_2045 developed to encapsulate the Swedish energy system at national level. It also contains the distribution files used in the simulation.
DOI: 10.17632/djynbxvm6d.1
title: Reflective practice: A self-reflection tool for ESOL teachers

description: The spreadsheet presented here is a self-reflection tool specifically designed for pre-service and in-service English to Speakers of Other Languages (ESOL) teachers. You will find 64 statements on the tab entitled 'Assessment of statements' to help you reflect on your teaching skills after a teaching observation or your teaching skills in general, and other professional development areas. Please grade each statement according to how you feel about your teaching skills and other professional development areas. Enter the number that corresponds to your assessment in the column entitled 'Assessment' according to the Likert scale below. 

1 = Strongly disagree; 2 = Disagree; 3= Neither agree or disagree; 4= Agree; 5=Strongly agree

Also, enter your name and date when you carry out the assessment in the boxes on the right hand side. Once you have assessed the 64 statements, refer to the tab entitled 'Results - DON'T MODIFY CELLS' to check your results and see a visual representation of professional development strengths and weaknesses.
DOI: 10.17632/h72dvxkn6c.1
title: Impact of seasonal variations in fronts on suspended sediment transport off the coast of Fujian Province

description: It includes the data used in this study, including temperature, salinity, current velocity, current direction and suspended sediment concentration.
DOI: 10.17632/s93ypr84nk.1
title: Predicting repurchase intentions of airline passengers: role of cabin crew competence and passenger satisfaction 

description: The file includes data for fourresearch variables i.e., Crew Professional Competency, Crew Interpersonal Competency, Passenger Satisfaction and Passenger Repurchase Intentions.
DOI: 10.17632/65d7pmfzvx.1
title: University of Ottawa Ball-bearing Spectrogram Processed Vibration and Acoustic Fault Data under Constant Load and Speed Conditions (UODS-VAFDC-P1)

description: This processed dataset provides spectrogram images created from raw accelerometer and microphone data for a ball-bearing test rig operating under stable loads and speeds. This dataset provides a platform to assess the effectiveness of spectrogram-based fault diagnosis techniques under constant conditions. Moreover, the dataset holds potential in facilitating the application and refinement of deep learning methods. With this resource, researchers can conduct thorough testing to enhance the accuracy and reliability of machine learning methods.

This dataset includes spectrograms processed from the UODS-VAFDC datasets using a Hanning window and the short-time Fourier transform (STFT) method. These spectrograms are made available to allow researchers to have access to pre-processed data, saving time in transforming the raw data.

Each dataset is collected under a constant speed and load. A total of 20 bearings are tested, where each bearing has three associated datasets for three different conditions: healthy, fault developing, and faulty. Therefore, a total of 60 datasets are included. The signal length used for creating the spectrograms is 512 and each dataset contains 400 images. Therefore, a total of 24,000 images are provided (12,000 accelerometer-based images and 12,000 microphone-based images). 20 healthy datasets are provided, and the remainder are fault developing and faulty.

In all cases, the data is sampled at 42,000 Hz, the sampling duration is 10s, and the nominal rotational speed of the bearing is 1,750 RPM. All data collected for healthy bearings, and bearings with inner, outer, or cage faults are collected under a nominal constant load of 400 N. Ball fault data is collected under no load. The datasets are labelled as {Letter}-{Number}-{Number}-{Number}, where:

       •	The letter represents the bearing’s final condition: H = healthy, I = inner race fault, O = outer race fault, B = ball fault, C = cage fault.
       •	The first number identifies the bearing that is tested.
       •	The second number represents the bearing’s health condition: 0 = healthy, 1 = fault developing, 2 = faulty.
       •	The third number represents the image number.
       •	Examples of fault dataset labelling:
                      o	I-2-1-1 means the first image of an inner race fault for bearing 2 with a fault developing.
                      o	I-2-2-47 means the 47th image of an inner race fault for bearing 2 that is faulty.
                      o	O-6-1-201 means the 201st image of an outer race fault for bearing 6 with a fault developing.
                      o	O-7-2-323 means the 323rd image of an outer race fault for bearing 7 that is faulty.
DOI: 10.17632/65d7pmfzvx.2
title: University of Ottawa Rolling-element Dataset – Vibration and Acoustic Faults under Constant Load and Speed conditions – Spectrograms (UORED-VAFCLS-P1) 

description: Spectrograms are created from the raw data by using the short-time Fourier transform (STFT), while using a Hanning window to convert the accelerometer and microphone values into 2D images. For each raw data file, 400 spectrogram images are created with a signal length of 512. A total of 24,000 spectrogram images are created, 12,000 images for each of the accelerometer and microphone data files. The processed data are provided in the zip files as portable network graphics files (.png).
DOI: 10.57841/casdc.0001012
title: XDC04010600-M50轴承钢有无外加磁场条件下自耗锭显微组织照片及实验过程照片视频
DOI: 10.6084/m9.figshare.23123282
title: AI adoption Questionnaire

description: This data is available for the research with title: <strong>"Understanding the Adoption of Artificial Intelligence in Journalism: An Empirical Study in Vietnam"</strong>
DOI: 10.18462/iir.nh3-co2.2023.0009
title: Analyses of different defrost methods in air to water industrial CO2 heat pumps.
DOI: 10.18462/iir.nh3-co2.2023.0024
title: A comparative study to investigate two configurations of a two-stage evaporator in a CO2 heat pump chiller.
DOI: 10.18462/iir.nh3-co2.2023.0023
title: In-situ swelling behaviour of polymer materials in sub- and supercritical carbon dioxide.
DOI: 10.18462/iir.nh3-co2.2023.0022
title: Performance modelling of an ammonia-water absorption-compression heat pump for steam generation in food processing.
DOI: 10.6084/m9.figshare.22210723
title: Data for "A large-scale field experiment of artificially caused landslides with replications revealed the response of the ground-dwelling beetle community to landslides".

description: Data for Furusawa, J., Makoto, K., & Utsumi, S. (2023). A large‐scale field experiment of artificially caused landslides with replications revealed the response of the ground‐dwelling beetle community to landslides. Ecology and Evolution, 13(3), e9939. <br> These files contain species composition and abundance data of ground-dwelling beetles and body size data of all individuals of collected beetles. Species composition and abundance data were collected in the Teshio, Nakagawa, and Uryu Experimental Forests of Hokkaido University in northern Hokkaido, Japan in July and August 2021. The setting in which species composition and abundance data were collected were artificially caused landslide sites or undisturbed forests. Body size data were obtained by measuring all individuals of the collected beetles in the following manner: 1) digital images of all individuals of the collected beetles were taken with a digital camera (Tough TG-6, Olympus, Tokyo), 2) the lengths of the head, pronotum, and elytron were measured, using ImageJ 1.53k, 3) the sum of these lengths was used as body size.