cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v73rp8t96s.1
title: Dataset Content Creation as a Catalyst for MSME Growth; Leveraging High-Quality Content to Achieve Sustainable Business

description: This dataset is the result of an in-depth interview analysis with 20 owners or managers of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia regarding the role of content creation in their business growth. This study aims to understand how MSMEs utilize content creation as a strategy to achieve sustainable business growth.
The dataset consists of six main sections:

Key Informant Profile: Provides an overview of the distribution of informants based on industry sector and business size.
Interview Guide: Presents key questions used in the interview, linked to the problem formulation and target information to be obtained.
Understanding Content Creation: Analyzes the level of understanding, perception, and implementation of content creation strategies among MSMEs.
Factors Influencing Content Creation Effectiveness: Explores perceptions of benefits, challenges, and resource readiness in content creation.
Impact of Content Creation on Business Growth: Assesses the influence of content creation on business growth and methods for measuring content effectiveness.
Effective Content Creation Strategy: Identifying the types of content considered most effective, the process of planning and executing content strategies, and future development plans.

Each section is presented in a table format that includes interview questions, open coding results, axial coding, and selective coding. This dataset provides in-depth insights into how MSMEs in Indonesia understand, implement, and plan content creation strategies to drive their business growth. This dataset can be used by researchers, business practitioners, and policy makers to further understand the role of content creation in the context of MSMEs in Indonesia, as well as to develop strategies and policies that support MSME growth through effective content utilization.
DOI: 10.17632/v73rp8t96s.3
title: Dataset Content Creation as a Catalyst for MSME Growth; Leveraging High-Quality Content to Achieve Sustainable Business

description: This dataset is the result of an in-depth interview analysis with 20 owners or managers of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia regarding the role of content creation in their business growth. This study aims to understand how MSMEs utilize content creation as a strategy to achieve sustainable business growth.
The dataset consists of six main sections:

Key Informant Profile: Provides an overview of the distribution of informants based on industry sector and business size.
Interview Guide: Presents key questions used in the interview, linked to the problem formulation and target information to be obtained.
Understanding Content Creation: Analyzes the level of understanding, perception, and implementation of content creation strategies among MSMEs.
Factors Influencing Content Creation Effectiveness: Explores perceptions of benefits, challenges, and resource readiness in content creation.
Impact of Content Creation on Business Growth: Assesses the influence of content creation on business growth and methods for measuring content effectiveness.
Effective Content Creation Strategy: Identifying the types of content considered most effective, the process of planning and executing content strategies, and future development plans.

Each section is presented in a table format that includes interview questions, open coding results, axial coding, and selective coding. This dataset provides in-depth insights into how MSMEs in Indonesia understand, implement, and plan content creation strategies to drive their business growth. This dataset can be used by researchers, business practitioners, and policy makers to further understand the role of content creation in the context of MSMEs in Indonesia, as well as to develop strategies and policies that support MSME growth through effective content utilization.
DOI: 10.17632/zhf448wyt8
title: Impact of an Intensive Six-Day Equine-Assisted Physiotherapy Programme on Functional Mobility and Respiratory Outcomes in Children with Down Syndrome

description: The following file presents a comprehensive table of respiratory and functional mobility performance of 30 children with DS between 3 testing sessions. The aim of this study was to assess the potential therapeutic effect (= an improvement in respiratory and functional mobility outcomes) after completion of the 6-day equine-assisted physiotherapy (EAPT) inpatient stay with 12 sessions of EAPT, each lasting 30 minutes. The study was conducted using a one-group pretest-posttest design with a pretest, a posttest and a follow-up measurement to assess the potential persistence of the effect. The three testing sessions occurred one day before, one day after, and 28 days after completion of the rehabilitation programme. Five tests were used in each session: Spirometry (FEV1; PEF), TUG (Timed up and go test), TUGO (Timed up and go test with an obstacle), TUDS (Timed up and down stairs test), FSST (Four-square step test). For more information about the results and methodology, search a publication by Zítek et al. (2024) under the title "The Impact of Six-day Equine-Assisted Physiotherapy Programme on Respiratory Performance and Functional Mobility in Children with Down Syndrome"
DOI: 10.17632/zhf448wyt8.1
title: Impact of an Intensive Six-Day Equine-Assisted Physiotherapy Programme on Functional Mobility and Respiratory Outcomes in Children with Down Syndrome

description: The following file presents a comprehensive table of respiratory and functional mobility performance of 30 children with DS between 3 testing sessions. The aim of this study was to assess the potential therapeutic effect (= an improvement in respiratory and functional mobility outcomes) after completion of the 6-day equine-assisted physiotherapy (EAPT) inpatient stay with 12 sessions of EAPT, each lasting 30 minutes. The study was conducted using a one-group pretest-posttest design with a pretest, a posttest and a follow-up measurement to assess the potential persistence of the effect. The three testing sessions occurred one day before, one day after, and 28 days after completion of the rehabilitation programme. Five tests were used in each session: Spirometry (FEV1; PEF), TUG (Timed up and go test), TUGO (Timed up and go test with an obstacle), TUDS (Timed up and down stairs test), FSST (Four-square step test). For more information about the results and methodology, search a publication by Zítek et al. (2024) under the title "The Impact of Six-day Equine-Assisted Physiotherapy Programme on Respiratory Performance and Functional Mobility in Children with Down Syndrome"
DOI: 10.17632/ckf3jk99dh.1
title: Coastal Vulnerability Assessment, Sunderbans

description: The files include data pertaining to the indicators of vulnerability, the logic and methodology in developing the vulnerability scores and the calculations in computing the Composite Coastal Vulnerability Index. 

There are seven Ecological Vulnerability indicators considered for the computation of the Ecological Vulnerability Index and the data for these indicators were derived by processing geospatial data in GIS. Sixteen socio-economic vulnerability indicators were selected for formulating the Socio-economic Vulnerability Index. These indicators were grouped into three categories for the analysis - Standard of Living, Socio-economic Status and Status of Health and Education. The data for these indicators were sourced from primary and secondary sources.

Vulnerability indices were computed by assigning appropriate weightages to the indicators and multiplying the weightages with the vulnerability scores. The Ecological Vulnerability and Socio-economic Vulnerability indices were combined to compute the Composite Coastal Vulnerability Index.
DOI: 10.17632/mv34stf7zt.1
title: Central bank digital currency payment adoption dataset

description: Central bank digital currency payment adoption dataset
DOI: 10.17632/jp8bhchpw5.1
title: Effective Strategies for Enhancing Student Engagement in Online Learning Environments: A Systematic Literature Review

description: This file is converted into xml to excel it contains data that i used in my research intitled Effective Strategies for Enhancing Student Engagement in Online Learning Environments: A Systematic Literature Review.
DOI: 10.17632/hwjwys3k3b.1
title: Supplementary appendix for Comprehensive Comparisons of Different Treatments for Active Graves' Orbitopathy: A Systematic Review and Bayesian Model-Based Network Meta-Analysis

description: This is a supplementary appendix for the article "Comprehensive Comparisons of Different Treatments for Active Graves' Orbitopathy: A Systematic Review and Bayesian Model-Based Network Meta-Analysis ". It includes supplementary pictures and data.
DOI: 10.17632/kmcwsxk378.1
title: Data excel of sediment and groundwater

description: Thanks
DOI: 10.17632/hbstjjhv3s.1
title: A Dataset on Factors Influencing Under-Five Mortality in Tanzania. Insights from Data on Economic and Health Indicators.

description: This dataset compiles key socioeconomic and health indicators influencing under-five mortality in Tanzania, spanning 1995 to 2020, sourced from the World Bank’s World Development Indicators
DOI: 10.17632/2kky7c6xkn.1
title: Trading Games: Beating Passive Strategies in the Bullish Crypto Market

description: Cryptocurrencies database.
DOI: 10.17632/nkhm3h85gm.1
title: Selenium electrophilic center shuttle active electrons to boost mitochondrial electron leakage

description: Designing drugs based on the high level of redox homeostasis characteristics is a viable approach to reduce the side effects of chemotherapy drugs. Previous strategies mainly focus on increasing oxidative stress or inhibit antioxidant systems, herein, we report a new strategy to design efficient chemotherapeutics by employing electrophilic center to convert antioxidant agents to oxidizing stress. By employing strong polarization selenium atom (Se), we constructed an electrophilic center with "easy in easy out" characteristics to shuttle active electrons from NADH and GSH to boost mitochondrial electron leakage. The experimental results confirmed that the electrophilic center shuttles electrons through Se radical intermediates, and the polarizability strength of the center is critical for electron shuttle efficiency. The strategy of constructing electrophilic centers with strong polarization properties to intelligently regulate active electrons has expanded new avenues to develop chemotherapy drugs and will also have broad applications in the biological and medical fields.
DOI: 10.17632/w44vysybv5.1
title: Methodology of Dry and Wet aggregates Distribution Assessment and Stability Measurements

description: Detailed Methodology of Dry and Wet aggregates Distribution Assessment and Stability Measurements
DOI: 10.17632/wbmtfymjh9.1
title: Geometric Morphometry

description: Dataset of the work entitled: Assessing the Impact of Different Scale Removal Methods on the Geometric Morphometrics of Aedes aegypti Wings 
Hematophagous insects, such as some Aedes species, have high potential for transmitting serious diseases like dengue, yellow fever, and lymphatic filariasis. Correct identification and study of these mosquitoes are vital for public health in arbovirus control; however, success depends on solid research. Recently, increasing studies use geometric morphometrics to elucidate questions about biological shape, shape variation, and shape covariation in mosquitoes. Wings are commonly targeted for these analysis; however, some species, such as those in the Aedes genus, have dark spots or many scales on these structures, impairing morphological visualization of veins and potentially causing analysis errors. The aim of this work was to test different treatments used in literature for removing wing scales from Aedes aegypti, and evaluate through geometric morphometrics, if these different treatments can modify the wing venation morphometric pattern of Ae. aegypti. The treatments were wing agitation in mineral water and NaOH (sodium hydroxide) saline solution using a mini-ultrasound, and manual wing scale removal using a zero (0) tip brush. Additionally, we propose an alternative method for mounting wings on slides using glycerin.
DOI: 10.17632/rnmjj78ymw.1
title: Air quality and occupancy dataset

description: In collaboration with the elementary school in Ajdovščina, 8 air quality sensors were placed in classrooms and air quality parameters (VoC, CO2, Luminance, Temperature, and Humidity) were monitored for 6 months.
During the monitoring period, school staff collected anonymous data about the classroom occupancy. The air quality data was paired with external weather data as well as occupancy to train the model. 
The sensors were placed in elementary school Danila Lokarja where 8 IAQ sensors were deployed to monitor classrooms, the mess hall, and hallway. The elementary school was completed in 2016 with a little more than 5000 square meters of surface area and 27 bigger classrooms, and a few smaller ones. The building being relatively new is noteworthy as newer materials used in construction can impact the IAQ. Among the deployed sensors, 6 were used to monitor the dynamics of classrooms. The sensors measure multiple parameters, namely temperature, relative humidity(RH), Luminance, CO2, and Volatile organic compounds (VOC). The sensors used LED lighting to inform the staff about the general air quality.
DOI: 10.17632/z4ccb9hcwx.1
title: The impact of CEO’s social media posts on stock price fluctuations and investor expectations

description: In finance, an abnormal return is the difference between the actual return of a security and the expected return. Abnormal returns are sometimes triggered by "events." Events can include mergers, dividend announcements, company earning announcements, interest rate increases, lawsuits, or tweets on social networks. Previous research has clearly shown a link between company’s communication through social networks with investors and the prediction of company shares.

This research aims to determine how large companies from the USA and Germany and their chief executive officer’s use the social interaction via the social networks Twitter and LinkedIN to affects the company’s abnormal returns and investors’ expectations. This retrospective study aims to investigate the influence of social media namely company’s and CEOs in two different societies that behave differently toward social media.

The sample contains data of twenty companies and the tweets of their CEOs over the period of 2021 – 2023. The results show consistent effects of tweeting of CEOs on the abnormal returns. These results apply to opinions that convey authentic opinions that convey direct information about the company's performance, successes, or failures, as well as opinions that disseminate existing information or replicate and are directly related to the company's business strategy. The quantitative technique employed to collect data is data analysis with programming language Python. Regarding the data processing and analysis, the methods include Sentiment analysis, Granger causality tests and event study.

This paper concludes that sentiment in CEOs tweets has a direct imapct on stock returns of the same companies, but the effect is very small. Also, the effects of the tweets are reflected equally in USA and Germany, but on the other hand, investors and stock markets in these two countries react differently due to the difference in the perception of social networks, the size of the market or because of themselves events that were investigated.

Keywords: Twitter, LinkedIn, social networs, abnormal returns, Granger casualuty test, Pearson correlation, event study.
DOI: 10.17632/s82t78sk5m.1
title: Mitochondrial DNA editing in potato

description: The aim of this study was to evaluate and characterize mutations induced by targeted base editing through DddA cytidine deaminase (mitoTALECD) in the potato mitochondrial genome. The dataset includes Sanger sequencing of PCR products generated by amplifying the mitoTALECD target sequence (orf125) in the potato mitochondrial genome, for each of the 21 (D1) and 22 (D2) independent lines obtained
DOI: 10.17632/s82t78sk5m.2
title: Mitochondrial DNA editing in potato

description: The aim of this study was to evaluate and characterize mutations induced by targeted base editing through DddA cytidine deaminase (mitoTALECD) and transcription activator-like effector nucleases (mitoTALEN) in the potato mitochondrial genome. The dataset includes Sanger sequencing of PCR products generated by amplifying the mitoTALECD and mitoTALEN target sequence (orf125) in the potato mitochondrial genome, for 21 (D1) and 22 (D2) mitoTALECD independent lines and for 3 (T1) and 5 (T2) mitoTALEN independent lines.
DOI: 10.17632/yr7y9krspx.1
title: The basic data of the Gong-N2O-1223

description: The basic data of the manuscript (Gong-N2O-1223)
DOI: 10.17632/yx9jts8mv7.1
title: Informatic tools for diagnosis in dentistry

description: Exploratory review that compiled all the articles in Pubmed, WOS and Scopus, which referred to the use of informatic tools used to help with diagnosis in dentistry. The articles, tools and some interesting information about each one is detailed.
DOI: 10.17632/yx9jts8mv7.2
title: Informatic tools for diagnosis in dentistry

description: Exploratory review that compiled all the articles in Pubmed, WOS and Scopus, which referred to the use of informatic tools used to help with diagnosis in dentistry. The articles, tools and some interesting information about each one is detailed.
DOI: 10.17632/yx9jts8mv7.3
title: Informatic tools for diagnosis in dentistry

description: Exploratory review that compiled all the articles in Pubmed, WOS and Scopus, which referred to the use of informatic tools used to help with diagnosis in dentistry. The articles, tools and some interesting information about each one is detailed.
DOI: 10.15468/dl.bzgw4g
title: Occurrence Download

description: A dataset containing 974 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-72.91207082544084 10.780213268766161,-72.91207082544084 10.723407566133176,-72.76069105479947 10.723407566133176,-72.76069105479947 10.780213268766161,-72.91207082544084 10.780213268766161))"
 ]
}

 The dataset includes 974 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046901-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6sdd3ctnkf.1
title: Information transferred from interest rate to monetary aggregates

description: This dataset presents the quantified information flow from interest rates to money demand using Rényi transfer entropy. Four monetary aggregates (M1, M1ADJ, NewM1, and Divisia M1) and two opportunity cost measures (3-month Treasury bill, and Divisia user-cost) are considered. The information flows are calculated over short intervals (for the stationary purpose) of length 35, 40, and 45 quarters. For the definition of time series and their relevant time spans, please refer to the paper. This dataset can serve as an indicator of the effectiveness of monetary policy decisions.

It would be appreciated if use of the dataset could be acknowledged as follows:

Movaghari, H., Serletis, A. and Sermpinis, G. (2024). Money demand stability: New evidence from transfer entropy, International Economics, .
DOI: 10.17632/6sdd3ctnkf.2
title: Information transferred from interest rate to monetary aggregates

description: This dataset presents the quantified information flow from interest rates to money demand using Rényi transfer entropy. Four monetary aggregates (M1, M1ADJ, NewM1, and Divisia M1) and two opportunity cost measures (3-month Treasury bill, and Divisia user-cost) are considered. The information flows are calculated over short intervals (for the stationary purpose) of length 35, 40, and 45 quarters. For the definition of time series and their relevant time spans, please refer to the paper. This dataset can serve as an indicator of the effectiveness of monetary policy decisions.

It would be appreciated if use of the dataset could be acknowledged as follows:

Movaghari, H., Serletis, A. and Sermpinis, G. (2024). Money demand stability: New evidence from transfer entropy, International Economics, .
DOI: 10.17632/xt4h8whtng.1
title: Supplemental Material - Overall and subgroup prevalences of non-infectious uveitis among patients with hidradenitis suppurativa

description: Supplemental Material - Overall and subgroup prevalences of non-infectious uveitis among patients with hidradenitis suppurativa

Authors: Bria Midgette, BS, Andrew Strunk, MA, Robert Sabat MD, PhD, Kerstin Wolk, PhD, Amit Garg, MD
DOI: 10.17632/xh8mgjbtj5.1
title: More banks, less education? Evidence from China

description: （1）It is best to use Stata 16 or higher to support simplified Chinese because there is a lot of raw data with Chinese information
（2）The folder named "Bank deregulation shock" includes the raw data and do file for banking concentration viables.
（3）The folder named "Census raw data and data processing" includes the Census raw data and do file for making regression data.
 （4）If you want to get the regression result directly, use the "regression" do file in the root directory.
（5）As the large amount of data, if there is anything missing or unclear in the data, please contact me directly by email. The email address is: xiangyitian741@163.com
DOI: 10.15468/dl.j7y585
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GbifRegion is Latin America and the Caribbean",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ipomoea pauciflora M.Martens & Galeotti"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046902-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4eajzu
title: Occurrence Download

description: A dataset containing 1273894 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.05663 37.09262,-6.394 36.84134,-6.45118 36.75434,-6.36541 36.63054,-6.21674 36.56627,-6.28535 36.50195,-6.03376 36.1703,-5.86793 36.17491,-5.80503 36.09641,-5.542 36.01782,-5.4162 36.05943,-5.12457 36.40997,-4.91872 36.48356,-4.8501 36.88251,-5.11313 37.09262,-6.05663 37.09262))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 1273894 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046900-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10280791
title: Analytics Pomodoro 2024
DOI: 10.5281/zenodo.13880026
title: Computed data for the paper "Deciphering Faujasite Zeolite Dealumination at the Atomic Scale" by Z. Wang, T. Jarrin, [...], G. Pirngruber, C. Chizallet, A. Lesage, https://doi.org/10.1021/acscatal.4c03036

description: The presented data correspond to NMR calculations done with the VASP code, for models of zeolite faujasite (bulk and external surfaces, possibly with defects), silica, and amorphous silica-alumina surfaces. For details on the format of the files, see https://www.vasp.at/wiki/index.php/The_VASP_Manual. 

The date correspond to the following paper: ACS Catal. 2024, 14, 24, 18442–18456, https://doi.org/10.1021/acscatal.4c03036