cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c7sq6v
title: Occurrence Download

description: A dataset containing 5359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-79.12507 -19.24658,-67.96344 -19.24658,-67.96344 -10.77387,-79.12507 -10.77387,-79.12507 -19.24658))",
 "HasGeospatialIssue is false",
 "TaxonKey is Geospizopsis unicolor",
 "Year 2020-2025"
 ]
}

 The dataset includes 5359 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050206-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5sy3ychbd2
title: Data:Dynamic Regulation of Lower-Limb Joint Loading during Foot-Abducted Landing in Wide Lunge: An Analysis of Muscle Synergy and Neuromuscular Activation Patterns

description: Here is a portion of the code and data for this study. Running the Electromyography processing code in MATLAB will yield electromyography-related data. Raw electromyographic data-002 serves as a data example and is also one of the raw data files.
DOI: 10.15468/dl.7w4c4c
title: Occurrence Download

description: A dataset containing 512223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is Costa Rica",
 "DatasetKey is one of (University of Florida Lepidoptery, Entomology Division, Yale Peabody Museum, NMNH Material Samples (USNM), NMNH Extant Specimen Records (USNM, US), International Barcode of Life project (iBOL), Insect specimens of Kashihara City Museum of Insect, Auckland Museum Entomology Collection, C.P. Gillette Museum of Arthropod Diversity, INSDC Host Organism Sequences)",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset includes 512223 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050164-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5sy3ychbd2.1
title: Data:Dynamic Regulation of Lower-Limb Joint Loading during Foot-Abducted Landing in Wide Lunge: An Analysis of Muscle Synergy and Neuromuscular Activation Patterns

description: Here is a portion of the code and data for this study. Running the Electromyography processing code in MATLAB will yield electromyography-related data. Raw electromyographic data-002 serves as a data example and is also one of the raw data files.
DOI: 10.15468/dl.ddsv58
title: Occurrence Download

description: A dataset containing 32698083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Machine Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32698083 records from 1152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050135-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j6hd2dfsh8
title: COVID-19 and Human Security

description: The dataset captures the experiences of low-skilled and unskilled gig workers in Bangalore, India, with data collected both before (mid-2019) and during (2020–21) the COVID-19 pandemic. Structured around the UN Human Security Framework, the dataset provides a comprehensive view of economic, food, health, environmental, political, personal, and community dimensions affecting vulnerable populations. The survey focuses on workers from low-income backgrounds, including drivers, delivery personnel, domestic workers, street vendors, and others, highlighting their employment status, income fluctuations, loan usage, household challenges, access to essential services, dietary patterns, psychological fears, community support, and vaccine perceptions. The dataset provides critical insights into the multifaceted hardships faced by urban households during a global crisis and serves as a valuable resource for policymakers, researchers, and social organizations aiming to address inequality and enhance resilience.
DOI: 10.17632/j6hd2dfsh8.1
title: COVID-19 and Human Security

description: The dataset captures the experiences of low-skilled and unskilled gig workers in Bangalore, India, with data collected both before (mid-2019) and during (2020–21) the COVID-19 pandemic. Structured around the UN Human Security Framework, the dataset provides a comprehensive view of economic, food, health, environmental, political, personal, and community dimensions affecting vulnerable populations. The survey focuses on workers from low-income backgrounds, including drivers, delivery personnel, domestic workers, street vendors, and others, highlighting their employment status, income fluctuations, loan usage, household challenges, access to essential services, dietary patterns, psychological fears, community support, and vaccine perceptions. The dataset provides critical insights into the multifaceted hardships faced by urban households during a global crisis and serves as a valuable resource for policymakers, researchers, and social organizations aiming to address inequality and enhance resilience.
DOI: 10.17632/p8x272tvfx
title: Water Entry Matters: Toddlers’ Avoidance of Bodies of Water

description: Eighty-five toddlers participated. Parent interviews provided structured developmental data. Two had never crawled, and for two, crawling onset (defined as the date of ten consecutive belly or hands and knees cycles) was unreported. All parents supplied walking onset, marked by ten independent steps. Walking experience was calculated as the period from walking onset to test date; total locomotor experience was counted from the earliest self locomotion to testing. For aquatic exposure, 27 were tested at swim lesson pools, ensuring familiarity. Twenty had no swim lessons, 15 had attended less than ten, and 48 had attended ten or more sessions. The Ethics Committee for Research of the Faculty of Human Kinetics, University of Lisbon, approved procedures (CEIFMH 27/2023).
Procedure: Each child underwent one randomized trial each on a water cliff and slope. A safety harness fixed to a rope kept the child secure, limiting immersion to the chin. After acclimatization, parents were placed opposite and signaled the child. The experimenter threw a ball (1m from pool edge in cliff, 2m from entry in slope). The toddler was positioned standing at the edge, facing their parent. They were asked to retrieve and deliver the ball. Trials ended after 150s without entry, if the child entered water (fell, stepped, jumped—cliff: suspended by rope; slope: reached submersion point), if the toddler left and couldn’t return, or began crying and couldn’t be calmed (excluded).
Data coding: All trials were videotaped. Analysts coded behaviors for Avoidance (avoider/non-avoider) in cliff and slope conditions. Non avoiders were suspended at the cliff or reached submersion in the slope; avoiders refrained from both for 150s or moved away and could not be coaxed back.
Analysis: Data normality was checked with Shapiro–Wilk, showing normal distributions. Pearson’s Chi-square tested effects of sex, trial order, and pool familiarity on avoidance. Binomial logistic regressions evaluated impacts of age, crawling, walking, total locomotor experience (TL.exp), and baby swimming sessions (BSS) on avoidance at the cliff and slope. When multiple predictors were significant, model fit and out-of-sample error were compared using Akaike’s Information Criterion (AIC); models ΔAIC≤2 had strong support. McNemar’s test compared avoidance rates across conditions; Fisher’s Exact test evaluated avoidance by swim session attendance (&lt;10 vs. ≥10).
DOI: 10.17632/p8x272tvfx.1
title: Water Entry Matters: Toddlers’ Avoidance of Bodies of Water

description: Eighty-five toddlers participated. Parent interviews provided structured developmental data. Two had never crawled, and for two, crawling onset (defined as the date of ten consecutive belly or hands and knees cycles) was unreported. All parents supplied walking onset, marked by ten independent steps. Walking experience was calculated as the period from walking onset to test date; total locomotor experience was counted from the earliest self locomotion to testing. For aquatic exposure, 27 were tested at swim lesson pools, ensuring familiarity. Twenty had no swim lessons, 15 had attended less than ten, and 48 had attended ten or more sessions. The Ethics Committee for Research of the Faculty of Human Kinetics, University of Lisbon, approved procedures (CEIFMH 27/2023).
Procedure: Each child underwent one randomized trial each on a water cliff and slope. A safety harness fixed to a rope kept the child secure, limiting immersion to the chin. After acclimatization, parents were placed opposite and signaled the child. The experimenter threw a ball (1m from pool edge in cliff, 2m from entry in slope). The toddler was positioned standing at the edge, facing their parent. They were asked to retrieve and deliver the ball. Trials ended after 150s without entry, if the child entered water (fell, stepped, jumped—cliff: suspended by rope; slope: reached submersion point), if the toddler left and couldn’t return, or began crying and couldn’t be calmed (excluded).
Data coding: All trials were videotaped. Analysts coded behaviors for Avoidance (avoider/non-avoider) in cliff and slope conditions. Non avoiders were suspended at the cliff or reached submersion in the slope; avoiders refrained from both for 150s or moved away and could not be coaxed back.
Analysis: Data normality was checked with Shapiro–Wilk, showing normal distributions. Pearson’s Chi-square tested effects of sex, trial order, and pool familiarity on avoidance. Binomial logistic regressions evaluated impacts of age, crawling, walking, total locomotor experience (TL.exp), and baby swimming sessions (BSS) on avoidance at the cliff and slope. When multiple predictors were significant, model fit and out-of-sample error were compared using Akaike’s Information Criterion (AIC); models ΔAIC≤2 had strong support. McNemar’s test compared avoidance rates across conditions; Fisher’s Exact test evaluated avoidance by swim session attendance (&lt;10 vs. ≥10).
DOI: 10.17632/gd5v8x6rh9.1
title: Kazakhstan Teacher Workforce Dynamics Dataset (2015–2024)

description: The dataset contains detailed information on teacher workforce dynamics in Kazakhstan from 2015 through 2024. It includes annual measures of teacher exits, turnover, retention, and cohort survival rates. The data cover the entire population of public-school teachers across 4,919 settlements, 212 districts (raions) and 20 administrative regions of Kazakhstan. The dataset was derived from the Kazakhstan National Education Database (NEDB), which provides official administrative records of schools, students and teachers. The dataset is intended to support research on workforce planning, teacher mobility, education policy, and long-term staffing needs.

– This dataset consists of nine structured tables derived from aggregated teacher-level records for the period 2015–2024. The tables are provided in .csv format and can be found in the Dataset/tables folder. Each table presents indicators such as exit counts, retention rates, turnover rates, and cohort-based retention patterns.
– A detailed variable description is available in the accompanying Dataset/tables/Codebook.xlsx, which explains all geographic identifiers, demographic categories, and indicator definitions.
Each table is linked to a visualization (bar charts, line graphs, heatmaps) that highlights the main workforce dynamics by year, region, or demographic group. These figures are stored in the Dataset/data/visualizationsfolder and correspond to the table numbering for easy cross-reference.
– The Dataset/code folder contains the Python scripts (.ipynb) used for data cleaning, aggregation, and indicator calculation, along with a README.txt file documenting the workflow and formulas used.
The dataset enables users to investigate teacher retention and turnover across time, geographic scales (settlements, districts, oblasts), and age groups (&lt;30, 30–39, 40–49, 50+). Researchers can replicate the analysis or extend it using the provided scripts. All data are anonymized and aggregated to protect individual confidentiality.
DOI: 10.17632/xr8647svkp
title: C-terminal end of Gli3 is critical for protein stability and Gli3-dependent anatomical development

description: The raw data of the manuscript "C-terminal end of Gli3 is critical for protein stability and Gli3-dependent anatomical development" by Nguyen Thi My Trinh, Sota Ikeda, Ako Agata, Sayaka Tojima, Tadashi Nomura
DOI: 10.17632/xr8647svkp.3
title: C-terminal end of Gli3 is critical for protein stability and Gli3-dependent anatomical development

description: The raw data of the manuscript "C-terminal end of Gli3 is critical for protein stability and Gli3-dependent anatomical development" by Nguyen Thi My Trinh, Sota Ikeda, Ako Agata, Sayaka Tojima, Tadashi Nomura
DOI: 10.15468/dl.74mf97
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FSFN: Forest Soil Fauna Network: Lonchopteridae, Flanders Belgium"
 ]
}

 The dataset includes 220 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050207-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5teak
title: Occurrence Download

description: A dataset containing 40478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-76.92885 -12.15806, -76.92872 -12.15934, -76.92376 -12.20509, -76.92363 -12.20581, -76.92033 -12.21859, -76.9202 -12.21906, -76.9039 -12.27168, -76.90251 -12.27299, -76.3251 -12.20397, -76.32239 -12.20303, -76.3215 -12.20272, -76.32119 -12.20237, -76.31212 -12.18154, -76.22233 -11.9464, -76.21548 -11.92438, -76.21552 -11.92402, -76.21681 -11.91766, -76.21695 -11.91704, -76.21846 -11.91264, -76.21917 -11.91175, -76.28201 -11.8418, -76.28623 -11.8403, -76.28648 -11.8403, -76.62634 -11.95868, -76.69928 -11.98575, -76.73432 -11.99997, -76.7434 -12.00374, -76.78246 -12.02289, -76.79578 -12.03094, -76.81154 -12.0407, -76.8912 -12.09313, -76.89163 -12.09347, -76.89206 -12.09381, -76.91001 -12.12092, -76.91035 -12.12148, -76.91095 -12.12251, -76.9286 -12.15617, -76.92872 -12.15664, -76.92885 -12.15737, -76.92885 -12.15806))"
 ]
}

 The dataset includes 40478 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050205-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j39h4fn78r
title: Catechins - UV spectrum

description: This dataset contains Ultraviolet (UV) spectra for catechins extracted from tea leaves, integral to a study titled "Coacervation of Double Emulsions with Anthocyanins Using Plant-Based Proteins." This study delves into the pioneering use of proteins extracted from plants to encapsulate anthocyanins within double emulsion frameworks. Catechins, the primary bioactive compounds in tea, are known for their health-promoting properties, including anti-inflammatory, antioxidant, and potential anti-carcinogenic effects.
DOI: 10.17632/j39h4fn78r.2
title: Catechins - UV spectrum

description: This dataset contains Ultraviolet (UV) spectra for catechins extracted from tea leaves, integral to a study titled "Coacervation of Double Emulsions with Anthocyanins Using Plant-Based Proteins." This study delves into the pioneering use of proteins extracted from plants to encapsulate anthocyanins within double emulsion frameworks. Catechins, the primary bioactive compounds in tea, are known for their health-promoting properties, including anti-inflammatory, antioxidant, and potential anti-carcinogenic effects.
DOI: 10.17632/5c4tf2fgt9.2
title: Anthocyanins - UV spectrum

description: This dataset encompasses Ultraviolet (UV) spectra derived from red cabbage, contributing to a research endeavor named "Coacervation of Double Emulsions with Anthocyanins Using Plant-Based Proteins." This study delves into the pioneering use of proteins extracted from plants to encapsulate anthocyanins within double emulsion frameworks. Anthocyanins, which are vibrant natural pigments found in red cabbage and various other plants, are celebrated for their antioxidative properties and potential health benefits. The initiative seeks to optimize the stability and bioavailability of these compounds, potentially opening new avenues for their application in the food, pharmaceutical, and cosmetic industries. The research is a part of the SONATA program, financed by the National Science Center, Poland, bearing the project number 2021/43/D/NZ9/01572. The SONATA program is dedicated to supporting innovative scientific research endeavors that aim to expand the frontiers of knowledge in their respective domains, facilitating the development of groundbreaking solutions to contemporary challenges.
DOI: 10.17632/pdpgf4ffmz
title: Anthocyanins – MS spectrum

description: This dataset comprises Mass Spectrometry (MS) spectra obtained from red cabbage. The spectra are integral to a research initiative titled "Coacervation of Double Emulsions with Anthocyanins Using Plant-Based Proteins." This investigation explores the innovative application of plant-derived proteins for encapsulating anthocyanins within double emulsion systems. Anthocyanins, natural pigments found in red cabbage and other plants, are known for their antioxidant properties and potential health benefits. The project aims to harness these compounds for enhanced stability and bioavailability, potentially leading to novel food, pharmaceutical, and cosmetic applications. The research is being conducted under the auspices of the SONATA program, backed by the National Science Center, Poland, with the project reference number 2021/43/D/NZ9/01572. This funding initiative supports exploratory scientific projects that push the boundaries of knowledge in their respective fields, enabling cutting-edge research like this to develop innovative solutions for industry challenges.
DOI: 10.17632/pdpgf4ffmz.2
title: Anthocyanins – MS spectrum

description: This dataset comprises Mass Spectrometry (MS) spectra obtained from red cabbage. The spectra are integral to a research initiative titled "Coacervation of Double Emulsions with Anthocyanins Using Plant-Based Proteins." This investigation explores the innovative application of plant-derived proteins for encapsulating anthocyanins within double emulsion systems. Anthocyanins, natural pigments found in red cabbage and other plants, are known for their antioxidant properties and potential health benefits. The project aims to harness these compounds for enhanced stability and bioavailability, potentially leading to novel food, pharmaceutical, and cosmetic applications. The research is being conducted under the auspices of the SONATA program, backed by the National Science Center, Poland, with the project reference number 2021/43/D/NZ9/01572. This funding initiative supports exploratory scientific projects that push the boundaries of knowledge in their respective fields, enabling cutting-edge research like this to develop innovative solutions for industry challenges.
DOI: 10.17632/t6ndmcf8sb
title: Horizontal gene transfer mediated intra-species functional complementarity enhances population fitness

description: original data including:
All uploaded data and retrieved data.
All transcriptome data and the gene presence/absence matrix of HGT-marked genes
DOI: 10.17632/t6ndmcf8sb.1
title: Horizontal gene transfer mediated intra-species functional complementarity enhances population fitness

description: original data including:
All uploaded data and retrieved data.
All transcriptome data and the gene presence/absence matrix of HGT-marked genes
DOI: 10.17632/n58f8mhjsg
title: Flexible Solid-Polymer Electrolytes Based on Li4P2S6 and Polyethylene Oxide Composites High-Performance Lithium-Air Batteries in Real Ambient Air

description: DATA of CSE-xLPS electrolyte for Lithium-air batteries.
DOI: 10.17632/n58f8mhjsg.1
title: Flexible Solid-Polymer Electrolytes Based on Li4P2S6 and Polyethylene Oxide Composites High-Performance Lithium-Air Batteries in Real Ambient Air

description: DATA of CSE-xLPS electrolyte for Lithium-air batteries.
DOI: 10.17632/s3mty2pdrt
title: Neo-Fisherism and fiscal solvency: Reinterpreting the determination of inflation, yields, and the debt ratio

description: Rstudio code for replication of results in ``Neo-Fisherism and fiscal solvency: Reinterpreting the determination of inflation, yields, and the debt ratio'' .
DOI: 10.17632/s3mty2pdrt.1
title: Neo-Fisherism and fiscal solvency: Reinterpreting the determination of inflation, yields, and the debt ratio

description: Rstudio code for replication of results in ``Neo-Fisherism and fiscal solvency: Reinterpreting the determination of inflation, yields, and the debt ratio'' .
DOI: 10.17632/mxcjwsyfw2.1
title: DataSet_The Impactof Territories on the Salaries of Young individuals

description: The paper used two databases. The first one (GénérationData for individuals) has confidentiality restrictions and is available on query by researchers to the following plateform https://data.progedo.fr/studies/doi/10.13144/lil-1439. The second one proposed by the "Observatoire des Territoires" (government institution) is given four excel folders, two for 2013 and two for 2017 years. All excel files give variable informations by employment zones (EZ in the paper): first column of each folders named CA0AZE_YEAR. "Median Wages" file gives median wages for each EZ for both year in two separate sheets. The two others files are the rest of macroeconomic variables of EZ following the year.
DOI: 10.17632/929vbf5r37
title: Research Data - Wilson and Andrian (2025)

description: This study aims to investigate the impact of digital transformation, organizational agility, and digital capability on firm performance. The study is using a quantitative method with primary data collected through questionnaires with a total 125 respondents from individual at level staff, supervisor, assistant manager, manager, senior manager, and director in Jakarta and Palembang who worked in the non-financial sector in listed and non-listed firms in Indonesia Stock Exchange. Data analysis was calculated using SmartPLS and SPSS Statistical Tool.
DOI: 10.15468/dl.up9wc6
title: Occurrence Download

description: A dataset containing 3468 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FSFN: Forest Soil Fauna Network: Syrphidae, Flanders Belgium"
 ]
}

 The dataset includes 3468 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050208-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/929vbf5r37.1
title: Research Data - Wilson and Andrian (2025)

description: This study aims to investigate the impact of digital transformation, organizational agility, and digital capability on firm performance. The study is using a quantitative method with primary data collected through questionnaires with a total 125 respondents from individual at level staff, supervisor, assistant manager, manager, senior manager, and director in Jakarta and Palembang who worked in the non-financial sector in listed and non-listed firms in Indonesia Stock Exchange. Data analysis was calculated using SmartPLS and SPSS Statistical Tool.
DOI: 10.17632/cm9jtjrf83
title: Prevalence of serum dermatomyositis-specific autoantibodies: A systematic review and meta-analysis

description: Prevalence of serum dermatomyositis-specific autoantibodies: A systematic review and meta-analysis