cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wsh8rxwd38.1
title: Dataset on droplet spreading and rebound behavior of water and viscous water-glycerol mixtures on superhydrophobic surfaces with laser-made channels

description: This dataset contains 1498 datapoints from experimental investigations of droplet impact, spreading, and rebound on superhydrophobic laser-textured surfaces. Data was collected for twelve surface types featuring square grids of laser-made channels with spacings ranging from 50 μm to 800 μm, with either deep or shallow channels. Droplet impact tests were conducted using water and water-glycerol mixtures at droplet viscosity up to 160 mPa∙s, with high-speed imaging at 5000 fps. Extracted parameters include maximum spreading factor, contact time, rebound efficiency, and maximum lamella velocity, alongside key droplet properties such as diameter, velocity, density, surface tension, viscosity, Weber number, and Reynolds number. A supplementary dataset provides analogous data for impacts on a smooth hydrophobic surface (125 further datapoints), mimicking the regions between the laser-made channels. Additionally, scanning electron microscopy images of all surfaces and both static and dynamic contact angle measurements are included. The data was collected between April and December 2024 at the Faculty of Mechanical Engineering, University of Ljubljana, Slovenia. Data on fabrication of surfaces, testing procedures and data reduction is provided in the dataset description file.

The dataset is valuable for research of surface wetting, surface engineering, droplet impacts and for anti-icing applications. It can aid in validating theoretical and numerical models of droplet dynamics, optimizing superhydrophobic surfaces for self-cleaning and drag reduction, and developing machine learning models for droplet impact prediction. The data is particularly relevant for designing anti-icing surfaces by minimizing contact time and maximizing the rebound efficiency, with further applications in 3D printing, coating technologies, and inkjet printing.
DOI: 10.17632/9jbsfnf6dp.1
title: Aeolian remobilization events worldwide

description: This dataset includes an inventory of ash remobilization events by wind and associated eruption source reported in the scientific literature. Small events are generally disregarded or reported in local communication channels, and are therefore, not included in this dataset.
DOI: 10.17632/f9kkbypsvd.1
title: Fatty Liver Disease & Liver Cirrhosis Study: Clinical, Metabolic, and Outcomes

description: Fatty Liver Disease, encompassing both Alcoholic Fatty Liver Disease (AFLD) and Non-Alcoholic Fatty Liver Disease (NAFLD), has emerged as a major global health concern. AFLD is directly linked to excessive alcohol consumption, whereas NAFLD is associated with metabolic disorders such as obesity, diabetes, and dyslipidemia. Both conditions can progress to liver fibrosis, cirrhosis, and hepatocellular carcinoma (HCC) if left unmanaged. Cirrhosis, the end-stage of chronic liver disease, contributes significantly to global morbidity and mortality.

The study behind the AFLD dataset aims to explore the long-term health outcomes of individuals diagnosed with fatty liver disease compared to a matched control group. Specifically, the study follows subjects forward to evaluate metabolic conditions, cardiovascular outcomes, and mortality rates. By analyzing this dataset, researchers can identify key risk factors for disease progression and mortality, allowing for better prevention and intervention strategies. Study Design and Data Description

The dataset consists of 18,012 individuals, categorized into two primary groups:
 1. AFLD Cases: Individuals diagnosed with Alcoholic Fatty Liver Disease.
 2. Matched Controls: Individuals without AFLD, but matched on factors such as age, gender, and BMI.

By selecting a control group with similar demographics, the study aims to isolate the effects of AFLD on long-term health outcomes. The inclusion criteria for AFLD cases likely involve diagnostic confirmation via imaging, liver function tests, and clinical assessment. Control subjects were chosen to ensure comparability, minimizing confounding effects.

Data Collection Methodology
The dataset represents a longitudinal cohort study, meaning subjects were tracked over time to observe health outcomes. Follow-up data include:
 • Time to death (futime) or last known contact.
 • Mortality status (status), where 0 = alive at last follow-up and 1 = deceased.

This method allows to investigate the progression of AFLD, the development of metabolic complications, and survival trends.

Dataset Variables and Importance
The AFLD dataset includes 10 key variables, each providing valuable insights:
 1. id: A unique identifier for each subject.
 2. age: Age at study entry, a crucial factor influencing metabolic and liver health.
 3. male: A binary variable (0 = female, 1 = male), allowing gender-based comparisons.
 4. weight (kg): A key metabolic marker, though missing for some participants.
 5. height (cm): Helps in calculating BMI.
 6. bmi (Body Mass Index): Derived from weight and height, it is a major risk factor for metabolic and liver diseases.
 7. case.id: The matched AFLD case ID for each control.
 8. futime: Follow-up duration in days, essential for survival analysis.
 9. status: Survival outcome, distinguishing between deceased and surviving subjects.

Each variable plays a crucial role in understanding disease progression, mortality risks, and comorbid conditions.
DOI: 10.17632/f9kkbypsvd.2
title: Fatty Liver Disease & Liver Cirrhosis Study: Clinical, Metabolic, and Outcomes

description: Fatty Liver Disease, encompassing both Alcoholic Fatty Liver Disease (AFLD) and Non-Alcoholic Fatty Liver Disease (NAFLD), has emerged as a major global health concern. AFLD is directly linked to excessive alcohol consumption, whereas NAFLD is associated with metabolic disorders such as obesity, diabetes, and dyslipidemia. Both conditions can progress to liver fibrosis, cirrhosis, and hepatocellular carcinoma (HCC) if left unmanaged. Cirrhosis, the end-stage of chronic liver disease, contributes significantly to global morbidity and mortality.

The study behind the AFLD dataset aims to explore the long-term health outcomes of individuals diagnosed with fatty liver disease compared to a matched control group. Specifically, the study follows subjects forward to evaluate metabolic conditions, cardiovascular outcomes, and mortality rates. By analyzing this dataset, researchers can identify key risk factors for disease progression and mortality, allowing for better prevention and intervention strategies. Study Design and Data Description

The dataset consists of 18,012 individuals, categorized into two primary groups:
 1. AFLD Cases: Individuals diagnosed with Alcoholic Fatty Liver Disease.
 2. Matched Controls: Individuals without AFLD, but matched on factors such as age, gender, and BMI.

By selecting a control group with similar demographics, the study aims to isolate the effects of AFLD on long-term health outcomes. The inclusion criteria for AFLD cases likely involve diagnostic confirmation via imaging, liver function tests, and clinical assessment. Control subjects were chosen to ensure comparability, minimizing confounding effects.

Data Collection Methodology
The dataset represents a longitudinal cohort study, meaning subjects were tracked over time to observe health outcomes. Follow-up data include:
 • Time to death (futime) or last known contact.
 • Mortality status (status), where 0 = alive at last follow-up and 1 = deceased.

This method allows to investigate the progression of AFLD, the development of metabolic complications, and survival trends.

Dataset Variables and Importance
The AFLD dataset includes 10 key variables, each providing valuable insights:
 1. id: A unique identifier for each subject.
 2. age: Age at study entry, a crucial factor influencing metabolic and liver health.
 3. male: A binary variable (0 = female, 1 = male), allowing gender-based comparisons.
 4. weight (kg): A key metabolic marker, though missing for some participants.
 5. height (cm): Helps in calculating BMI.
 6. bmi (Body Mass Index): Derived from weight and height, it is a major risk factor for metabolic and liver diseases.
 7. case.id: The matched AFLD case ID for each control.
 8. futime: Follow-up duration in days, essential for survival analysis.
 9. status: Survival outcome, distinguishing between deceased and surviving subjects.

Each variable plays a crucial role in understanding disease progression, mortality risks, and comorbid conditions.
DOI: 10.17632/ysk4trkgpt.1
title: Building energy simulation calibration accuracy and modelling complexity: implications for energy performance improvement

description: Data that support the findings relating to the manuscript: L. Peinturier, D. Wallom. "Building energy simulation calibration accuracy and modelling complexity: implications for energy performance improvement" (submitted for review). The data includes detailed model results alongside DesignBuilder models created as part of the study.
DOI: 10.17632/6w3bfjp4x6.1
title: Activation Network

description: Note: This repository contains some data used in the analysis of the activation network. The remaining data and code are available through the GitHub repository. To run the code from the GitHub page, the following files are also required in addition to those stored on GitHub.

#metabolite_KO_output_GEM9.txt
flux profile for in silico metabolite knockout.

#gene_expression_all_genome2.Rdata
We have retrived microarray data (genome2 chip) from arrayexpress database. This file contains the processed expression data.

#gene_expression_all_avgConditionWise_genome2.Rdata
In this file, samples from different studies that belong to the same condition are averaged to prevent bias toward highly studied conditions.

#gene_co_expression_avgConditionWise_correlation.Rdata
Gene expression was calculated using the gene_expression_all_avgConditionWise data. A correlation test was performed.
DOI: 10.17632/pf996bc578.1
title: Merkel Cell Carcinoma in Skin of Color Patients: A Case Series

description: Supplemental Figures
DOI: 10.17632/2nf3335hnt.1
title: datafile2025

description: Data
DOI: 10.17632/wk3nwsmr77.1
title: ANSOFF STRATEGIC POSTURE ANALYSIS

description: Dataset Description: NASDAQ 100 Strategic Posture Metrics (2006–2015)
Creator: Marco I. Bonelli, PhD

1. Overview
This dataset spans 2006–2015 for 107 NASDAQ 100 firms, analyzing relationships between strategic posture (X1), environmental responsiveness (X3, Bloomberg-derived), and performance.

2. Dataset Composition
Time Frame: 2006–2015.

Companies: 107 firms (e.g., Apple, Amazon).

Entries: 617 company-year observations.

Variables: 7 fields (see Section 3).

Sectors: Technology, Consumer Discretionary, Healthcare, Communications.

3. Variable Definitions
Variable Description Source Relevance
Company Ticker (e.g., AAPL). NASDAQ Firm identifier.
Year Fiscal year. Financials Temporal tracking.
X1 Strategic posture (e.g., R&D). Internal Data Strategic aggressiveness.
X2 Internal metric (e.g., efficiency). Internal Data Capability control.
Diff X1 – X3. Calculated External alignment proxy.
Growth Short-term performance (e.g., revenue). Financials Performance metric.
Estimated Growth Long-term forecasts. Bloomberg Market expectations.
4. Data Collection
Sources:

X1/X2: Financial filings (10-K/10-Q).

X3: Bloomberg (e.g., ESG scores).

Growth/Estimated Growth: Bloomberg/analysts.

Derived: Diff = X1 – X3.

5. Usage Notes
Strategic Posture: Use X1 and X3 (X1 – Diff).

Bonelli (2017): Includes X2, Growth, Estimated Growth.

Missing Data: 23 firms incomplete (e.g., AAL).

6. Limitations
X3: Validate reverse-engineered values.

Time Frame: Ends in 2015.

Sectors: Heterogeneity requires controls.
DOI: 10.17632/jppp4gc6y5.1
title: 2024_Climate literacy_Quebec_Study 3_Dataset

description: This dataset contains data from a 12-question survey designed to measure the level of climate literacy among the adult population of Quebec (Canada). Data collection took place between September 17, 2024 and October 12, 2024. Two thousand five hundred and thirteen (2513) respondents aged 18 years or older completed the survey. Sociodemographic questions about age, sex, first language, education, region of residence and presence of children in the household allowed for the creation of post-stratification weights to have a representative sample of the adult population in the province of Quebec.
DOI: 10.15468/dl.vunn45
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Kenya",
 "TaxonKey is Diceros bicornis (Linnaeus, 1758)",
 "Year 1000-1990"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010873-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gt9kkr5r53.1
title: 2024_Climate Literacy_Quebec_Study 2_Dataset

description: This dataset contains data from a 62-question survey designed to measure in detail the level of climate literacy among the adult population of Quebec (Canada). Data collection took place between August 8, 2024 to August 9, 2024. Five-hundred and two (502) respondents completed the questionnaire.
DOI: 10.17632/5gcz9czgv3
title: 2024_Climate Literacy_Quebec_Study 1_dataset

description: This dataset contains data from a 62-question survey designed to measure in detail the level of climate literacy among the adult population of Quebec (Canada). Data collection took place between July 16, 2024 and July 26, 2024. Two thousand (2000) respondents aged 18 years or older completed the survey. Sociodemographic questions about age, sex, first language, education, region of residence and presence of children in the household allowed for the creation of post-stratification weights to have a representative sample of the adult population in the province of Quebec.
DOI: 10.17632/5gcz9czgv3.1
title: 2024_Climate Literacy_Quebec_Study 1_dataset

description: This dataset contains data from a 62-question survey designed to measure in detail the level of climate literacy among the adult population of Quebec (Canada). Data collection took place between July 16, 2024 and July 26, 2024. Two thousand (2000) respondents aged 18 years or older completed the survey. Sociodemographic questions about age, sex, first language, education, region of residence and presence of children in the household allowed for the creation of post-stratification weights to have a representative sample of the adult population in the province of Quebec.
DOI: 10.6084/m9.figshare.28603172
title: SMIMS (Scale Development), EFA-CFA-SEM (Akeren et al., 2025)

description: This study aimed to develop and validate a scale measuring social media interaction motivation (SMIM) and examine its relationship with related variables. In Study 1, the factor structure was identified, while Study 2 confirmed the validity and reliability of the scale, showing its link to social media disorder (SMD). Study 3 used structural equation modeling and found that SMIM increases problematic online behaviors like fear of missing out (FoMO) and phubbing. Gender differences were minimal, but SIMIM, SMD, FoMO, and phubbing increased with social media usage time. The study concludes with suggestions for future research, considering its limitations.<br>
DOI: 10.15468/dl.dfzwka
title: Occurrence Download

description: A dataset containing 4298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 4298 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010878-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28603133
title: Microclimate Temperature and Physiological Species Distribution Model

description: A microclimate model was applied to estimate the microclimatic temperature experienced by burrowing bivalves at different mudflat layers. A physiological species distribution model (pSDM) was used to to predict the species further distributions.
DOI: 10.17632/vgxmxph8ys
title: Apoio na qualidade de vida de cuidadoras de familiar com paralisia cerebral

description: Data set of the article "Support for the quality of life of caregivers of family members with cerebral palsy: quasi-experimental study"
DOI: 10.17632/vgxmxph8ys.1
title: Apoio na qualidade de vida de cuidadoras de familiar com paralisia cerebral

description: Data set of the article "Support for the quality of life of caregivers of family members with cerebral palsy: quasi-experimental study"
DOI: 10.17632/377sjwst7w.1
title: To pack or not to pack after laparoscopic sacrocolpopexy – a randomized controlled trial

description: Background: No data concerning effect of vaginal packing on surgical outcome of laparoscopic sacrocolpopexy (LSC) exist.
Objective: To test the hypothesis that vaginal packing after LSC is associated with reduced risk of pelvic organ prolapse recurrence.
Study design: This is a double-blind randomized controlled trial to investigate the effect of vaginal packing after LSC on surgical outcome in one-year follow-up. All women planned for LSC without suburethral sling surgery for pelvic organ prolapse stage &gt; 2 according to POPQ were included. Women that finally underwent any other surgery, concomitant vaginal surgery or their vagina was opened during the surgery (e.g. concurrent hysterectomy) were excluded. Of the 512 randomized women enrolled in the period 11/2016 – 6/2022, 455 (89%) women completed the one-year follow-up and were included in the analysis. Vaginal pack was inserted in 214 (47%) women. All women were preoperatively examined including POPQ and completed ICIQ-UI, PFDI and PISQ-12 questionnaires. They were randomized at the end of the surgery using envelope method. The surgical technique remained constant for the study period and was performed by four surgeons. One year after the surgery, the patients were reassessed including the POPQ, PGI-I and quality of life questionnaires. The primary outcome was composite surgical failure defined as a prolapse beyond hymen or symptomatic prolapse or retreatment after one year. Secondary outcomes included anatomical recurrence, quality of life and any late surgery-related complications. The data was analyzed using Wilcoxon two sample test, Median test, χ2 test and Fisher´s exact test. P value &lt;.05 was considered statistically significant. 
Results: The groups did not differ in most preoperative characteristics, except BMI, preoperative PFDI, because of POPDI, operative time and estimated blood loss, which all were higher in the packing group. The numbers of concomitant surgery on the uterus were comparable within the groups; 137 had prior hysterectomy, 249 underwent supracervical hysterectomy and 69 had sacrohysteropexy. No differences in the primary outcome nor any of the recorded variables including the POPQ points position, anatomical recurrence, patient global impression of improvement, quality of life questionnaires and complications were observed between the groups in one-year follow-up. Furthermore, no differences in surgical outcomes were observed even in subgroups according to concomitant surgery on the uterus. There was no difference in the rate of complications. No mesh exposure was observed.
Conclusion: Vaginal packing after LSC is not associated with improved surgical outcome expressed in anatomic recurrence, composite surgical failure or quality of life. In the light of Enhanced Recovery After Surgery recommendations, routine vaginal packing after laparoscopic sacrocolpopexy cannot not be justified.
DOI: 10.17632/z9rfbh3c2y.1
title: Slow Progress or Quick Success: Does green credit facilitate the service transformation of Chinese manufacturing enterprises?

description: This is a database about green credit whether facilitate the service transformation of Chinese manufacturing enterprises.
DOI: 10.17632/8dghfp8p5n
title: Survey Methodology

description: Survey methodology for article "Adolescent tanning perceptions and resistance to prevention: Insights from a melanoma education program."
DOI: 10.17632/8dghfp8p5n.1
title: Survey Methodology

description: Survey methodology for article "Adolescent tanning perceptions and resistance to prevention: Insights from a melanoma education program."
DOI: 10.15468/dl.y8ujzw
title: Occurrence Download

description: A dataset containing 44674 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chloromyia formosa (Scopoli, 1763)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44674 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010879-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5s9sz
title: Occurrence Download

description: A dataset containing 19434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((158.74107 -31.82788,159.39193 -31.82788,159.39193 -31.34564,158.74107 -31.34564,158.74107 -31.82788))",
 "Year 2020-2024"
 ]
}

 The dataset includes 19434 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025505-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mj64p
title: Occurrence Download

description: A dataset containing 207 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Ceiba pentandra (L.) Gaertn."
 ]
}

 The dataset includes 207 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025506-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84e938
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Colombia, Venezuela (Bolivarian Republic of), Mexico, Ecuador, Bolivia (Plurinational State of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prunus domestica L."
 ]
}

 The dataset includes 75 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025508-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27989624
title: Tripplehorn_MNase

description: bw files for MNase-seq
DOI: 10.6084/m9.figshare.27989624.v1
title: Tripplehorn_MNase

description: bw files for MNase-seq
DOI: 10.15468/dl.cdft5v
title: Occurrence Download

description: A dataset containing 22925 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agkistrodon contortrix (Linnaeus, 1766)"
 ]
}

 The dataset includes 22925 records from 107 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.