cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18611734
title: Local minima for the PtSi_n (n=2-11) neutral and anionic clusters

description: XYZ files corresponding to the population of local minima for the PtSi_n (n=2-11) clusters in its neutral and anionic forms computed with the PBE0 functional using the Def2-TZVP basis set.
DOI: 10.5281/zenodo.18611735
title: Local minima for the PtSi_n (n=2-11) neutral and anionic clusters

description: XYZ files corresponding to the population of local minima for the PtSi_n (n=2-11) clusters in its neutral and anionic forms computed with the PBE0 functional using the Def2-TZVP basis set.
DOI: 10.17632/4b2sgp7hwj
title: soil microbial residue carbon research data

description: soil microbial residue carbon research data
DOI: 10.17632/4b2sgp7hwj.1
title: soil microbial residue carbon research data

description: soil microbial residue carbon research data
DOI: 10.82190/v5kkuf
title: Escala Hamilton de Depresión e instrucciones para su aplicación

description: El propósito del documento consistió en recopilar datos demográficos y de los niveles de depresión de los estudiantes de medicina de la Universidad Cooperativa de Colombia. La metodología para obtenerlos fue cualitativa, hermenéutica y documental, basada en el análisis interpretativo de una muestra de 274 estudiantes distribuidos desde primer semestre hasta internado. Dicho enfoque integró los niveles de la depresión con el rendimiento académico del último semestre de estudio medidos por lo niveles de la taxonomía SOLO. Encontrándose estudiantes en los niveles de depresión: Moderada, Ligera, Severa, Muy Severa y No Deprimido, con niveles de la taxonomía solo en: Uniestructurales, Multiestructurales, Relacionales y Abstracto Ampliado.
description: The purpose of the document was to collect demographic data and depression levels among medical students at the Cooperativa University of Colombia. The methodology used to obtain this data was qualitative, hermeneutic, and documentary, based on the interpretive analysis of a sample of 274 students ranging from the first semester through to internship. This approach integrated depression levels with academic performance from the last semester of study, as measured by the SOLO Taxonomy levels. Students were found to have the following depression levels: Moderate, Mild, Severe, Very Severe, and Non-Depressed, with SOLO taxonomy levels including: Unistructural, Multistructural, Relational, and Extended Abstract.
DOI: 10.15468/dl.qyvhwr
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachytarpheta ajugifolia",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 29 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008873-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18611777
title: ZAMONAVIY JANGOVAR OPERATSIYALARDA YARADORLARNI EVAKUATSIYA QILISH: "OLTIN SOAT" DAN AVTONOM BARQARORLASHTIRISHGA O'TISH

description: Mazkur tadqiqot ko‘p maqsadli jangovar operatsiyalar sharoitida tibbiy ta‘minot tizimni yangi sifat bosqichiga olib chiqish masalalarini tahlil qiladi. Zamonaviy mojarolar tajribasi evakuatsiya zanjiridagi uzilishlar tufayli an’anaviy “Oltin soat” tamoyili muvaffaqiyatsizlikka uchraganini ko‘rsatmoqda. Tadqiqotda evakuatsiya kechikkan taqdirda ham, agar joyida sifatli tibbiy yordam ko‘rsatilsa, bemorning yashab ketish ehtimoli yuqori ekanligi ilmiy ma‘lumotlar bilan isbotlangan. Sun’iy intellekt va robotlashtirilgan platformalarning integratsiyasi yaradorlarni 72 soatgacha barqarorlashtirish va omon qolish koeffitsientini oshirishning asosiy omili sifatida aniqlandi. Xulosa qilib aytganda, kelajakdagi harbiy-tibbiy tayorgarlik nafaqat texnologik innovatsiyalar, balki mukammal modullar, “10-30-1-2” algoritmi va kiber-chidamli logistika tizimlarini o‘z ichiga olgan yaxlit strategik yondashuv orqali ta‘minlanadi.
DOI: 10.5281/zenodo.18611778
title: ZAMONAVIY JANGOVAR OPERATSIYALARDA YARADORLARNI EVAKUATSIYA QILISH: "OLTIN SOAT" DAN AVTONOM BARQARORLASHTIRISHGA O'TISH

description: Mazkur tadqiqot ko‘p maqsadli jangovar operatsiyalar sharoitida tibbiy ta‘minot tizimni yangi sifat bosqichiga olib chiqish masalalarini tahlil qiladi. Zamonaviy mojarolar tajribasi evakuatsiya zanjiridagi uzilishlar tufayli an’anaviy “Oltin soat” tamoyili muvaffaqiyatsizlikka uchraganini ko‘rsatmoqda. Tadqiqotda evakuatsiya kechikkan taqdirda ham, agar joyida sifatli tibbiy yordam ko‘rsatilsa, bemorning yashab ketish ehtimoli yuqori ekanligi ilmiy ma‘lumotlar bilan isbotlangan. Sun’iy intellekt va robotlashtirilgan platformalarning integratsiyasi yaradorlarni 72 soatgacha barqarorlashtirish va omon qolish koeffitsientini oshirishning asosiy omili sifatida aniqlandi. Xulosa qilib aytganda, kelajakdagi harbiy-tibbiy tayorgarlik nafaqat texnologik innovatsiyalar, balki mukammal modullar, “10-30-1-2” algoritmi va kiber-chidamli logistika tizimlarini o‘z ichiga olgan yaxlit strategik yondashuv orqali ta‘minlanadi.
DOI: 10.17632/g3prz53xjj
title: Antibody Information for Western Blot (Supplemental Table S1: Tian et al. J Dairy Sci. 2026)

description: Antibody details (vendor, catalog number, dilution) for Western blot in the cited study on dairy goat Sertoli cells.
DOI: 10.17632/g3prz53xjj.1
title: Antibody Information for Western Blot (Supplemental Table S1: Tian et al. J Dairy Sci. 2026)

description: Antibody details (vendor, catalog number, dilution) for Western blot in the cited study on dairy goat Sertoli cells.
DOI: 10.15468/dl.yhftk2
title: Occurrence Download

description: A dataset containing 382 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sida szechuensis",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 382 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008874-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rn6hv4srb4
title: Study of Dynamic Adhesion-Based Capture Performance of Polydimethylsiloxane

description: The data related to the manuscript has been organized. Please select the folder with the relevant title through the section you are interested in.
DOI: 10.17632/rn6hv4srb4.1
title: Study of Dynamic Adhesion-Based Capture Performance of Polydimethylsiloxane

description: The data related to the manuscript has been organized. Please select the folder with the relevant title through the section you are interested in.
DOI: 10.15468/dl.6ummap
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corydoras duplicareus",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008876-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zdvxwzxdpz
title: In vivo electrophysiological recordings from the olfactory bulb

description: This dataset is in vivo electrophysiological and respiratory data collected in our laboratory over the past several years across multiple research projects. By analyzing these datasets, we can deeply explore how the olfactory system utilizes temporal firing pattern strategies to characterize odor identity.
DOI: 10.17632/zdvxwzxdpz.1
title: In vivo electrophysiological recordings from the olfactory bulb

description: This dataset is in vivo electrophysiological and respiratory data collected in our laboratory over the past several years across multiple research projects. By analyzing these datasets, we can deeply explore how the olfactory system utilizes temporal firing pattern strategies to characterize odor identity.
DOI: 10.17632/s2gxmnjrt8
title: Bengali Spam Comment Dataset for Social Media Content Moderation

description: This dataset contains 9,000 balanced Bengali comments labeled for spam classification on social media platforms. Each entry includes the original comment, its spam classification label, and a processed version suitable for machine learning model training. The dataset is structured into three columns: COMMENTS, CLASS, and English Version, providing a comprehensive resource for developing spam detection systems in Bengali language processing. 

Dataset Structure

COMMENTS – A text field containing original, unmodified comments written in Bengali (Bangla). These comments are collected from popular social media platforms and include expressions of engagement, promotional content, personal communication, generic engagement-boosting messages, bot-generated posts, and scam-related content typical of social media interactions. This column preserves the raw data as originally collected from social media sources.
CLASS – A categorical variable indicating whether the comment is spam or non-spam. Binary classification with the following labels:

1 (Spam): Comments containing promotional content with money-making schemes, suspicious links/URLs, generic engagement-boosting comments, bot-generated repetitive messages, or scam-related content promising unrealistic financial returns
0 (Non-Spam): Comments that are contextually relevant, show genuine user engagement, and contribute meaningfully to discussions

COMMENTS_PROCESSED – A preprocessed version of the original comments optimized for machine learning and NLP model training. This column contains the cleaned, normalized text after applying a comprehensive Bengali-specific preprocessing pipeline while preserving semantic meaning.

Key Features
1. Total Records: 9,000 balanced comments
2. Language: Bengali (Bangla)
3. Class Distribution: 4,500 spam comments (50%) and 4,500 non-spam comments (50%)
4. Classification Type: Binary spam classification
5. Data Collection Period: Recent social media activity
6. Average Comment Length: 17 words (std. dev. ± 15 words)

Spam comments: Average 20 words
- Non-spam comments: Average 18 words
- Comment Length Range: Minimum 1 word, Maximum 52 words
- Missing Values: None (all 9,000 records contain values in all three columns)

Data Types:
- COMMENTS (string)
- CLASS (integer: 0 or 1)
- COMMENTS_PROCESSED (string)

Data Collection Sources

Comments were systematically collected from:
1. Platforms: Facebook pages and YouTube channels
2. Content Domains: News, entertainment, sports, technology, and lifestyle
3. Notable Sources: Jamuna TV, Ekattor TV, Bongo BD, 10 Minute School, and other high-traffic Bengali content channels
4. Collection Method: Official Facebook Graph API and YouTube API for publicly accessible comments
5. Privacy Protection: All personal details (usernames, phone numbers, email addresses) have been scrubbed in both raw and processed versions
Here two csv files are given one with the original comments and another with processed ones.
DOI: 10.17632/s2gxmnjrt8.2
title: Bengali Spam Comment Dataset for Social Media Content Moderation

description: This dataset contains 9,000 balanced Bengali comments labeled for spam classification on social media platforms. Each entry includes the original comment, its spam classification label, and a processed version suitable for machine learning model training. The dataset is structured into three columns: COMMENTS, CLASS, and English Version, providing a comprehensive resource for developing spam detection systems in Bengali language processing. 

Dataset Structure

COMMENTS – A text field containing original, unmodified comments written in Bengali (Bangla). These comments are collected from popular social media platforms and include expressions of engagement, promotional content, personal communication, generic engagement-boosting messages, bot-generated posts, and scam-related content typical of social media interactions. This column preserves the raw data as originally collected from social media sources.
CLASS – A categorical variable indicating whether the comment is spam or non-spam. Binary classification with the following labels:

1 (Spam): Comments containing promotional content with money-making schemes, suspicious links/URLs, generic engagement-boosting comments, bot-generated repetitive messages, or scam-related content promising unrealistic financial returns
0 (Non-Spam): Comments that are contextually relevant, show genuine user engagement, and contribute meaningfully to discussions

COMMENTS_PROCESSED – A preprocessed version of the original comments optimized for machine learning and NLP model training. This column contains the cleaned, normalized text after applying a comprehensive Bengali-specific preprocessing pipeline while preserving semantic meaning.

Key Features
1. Total Records: 9,000 balanced comments
2. Language: Bengali (Bangla)
3. Class Distribution: 4,500 spam comments (50%) and 4,500 non-spam comments (50%)
4. Classification Type: Binary spam classification
5. Data Collection Period: Recent social media activity
6. Average Comment Length: 17 words (std. dev. ± 15 words)

Spam comments: Average 20 words
- Non-spam comments: Average 18 words
- Comment Length Range: Minimum 1 word, Maximum 52 words
- Missing Values: None (all 9,000 records contain values in all three columns)

Data Types:
- COMMENTS (string)
- CLASS (integer: 0 or 1)
- COMMENTS_PROCESSED (string)

Data Collection Sources

Comments were systematically collected from:
1. Platforms: Facebook pages and YouTube channels
2. Content Domains: News, entertainment, sports, technology, and lifestyle
3. Notable Sources: Jamuna TV, Ekattor TV, Bongo BD, 10 Minute School, and other high-traffic Bengali content channels
4. Collection Method: Official Facebook Graph API and YouTube API for publicly accessible comments
5. Privacy Protection: All personal details (usernames, phone numbers, email addresses) have been scrubbed in both raw and processed versions
Here two csv files are given one with the original comments and another with processed ones.
DOI: 10.17632/wy4vn8hjwd
title: Dataset for "Mapping cultural ecosystem services at scale: A phrase-driven profiling of China’s national forest parks"

description: This dataset supports the manuscript "Mapping cultural ecosystem services at scale: A phrase-driven profiling of China's national forest parks". It contains 238,239 online reviews collected from 836 national forest parks across China (2016–2025), along with variable definitions, analytical formulas, and all Python scripts used for data processing, statistical analysis, and figure generation.
DOI: 10.17632/wy4vn8hjwd.1
title: Dataset for "Mapping cultural ecosystem services at scale: A phrase-driven profiling of China’s national forest parks"

description: This dataset supports the manuscript "Mapping cultural ecosystem services at scale: A phrase-driven profiling of China's national forest parks". It contains 238,239 online reviews collected from 836 national forest parks across China (2016–2025), along with variable definitions, analytical formulas, and all Python scripts used for data processing, statistical analysis, and figure generation.
DOI: 10.17632/mkg5py9rvg
title: MASH_Cxcr3+/-NK cells RNA-seq Raw Data

description: In this study we want to compare the gene expression profile of CD49b+CXCR3+ NK cells from the liver of ND and CD-HFD mice with hepatic CD49b+CXCR3neg NK cells of ND and CD-HFD mice. This comparison will reveal transcriptional signatures of hepatic CD49b+CXCR3+ NK cells in CD-HFD responsible for causing liver pathology in MASH.
DOI: 10.17632/mkg5py9rvg.1
title: MASH_Cxcr3+/-NK cells RNA-seq Raw Data

description: In this study we want to compare the gene expression profile of CD49b+CXCR3+ NK cells from the liver of ND and CD-HFD mice with hepatic CD49b+CXCR3neg NK cells of ND and CD-HFD mice. This comparison will reveal transcriptional signatures of hepatic CD49b+CXCR3+ NK cells in CD-HFD responsible for causing liver pathology in MASH.
DOI: 10.17632/vxkjbx83c5
title: Data for: Stable isotopes evidence for light Zn burial in an oxic coastal bay: Implications for the modern marine Zn budget

description: Relavant data used in the analysis of the publication "Stable isotopes evidence for light Zn burial in an oxic coastal bay"
DOI: 10.17632/vxkjbx83c5.1
title: Data for: Stable isotopes evidence for light Zn burial in an oxic coastal bay: Implications for the modern marine Zn budget

description: Relavant data used in the analysis of the publication "Stable isotopes evidence for light Zn burial in an oxic coastal bay"
DOI: 10.15468/dl.k49xu6
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachypeza archytas",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008877-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/j6fkd9d9p5.2
title: Code for Influence of grain-scale heterogeneity on crack propagation in crystalline rocks: Insight from phase-field model

description: This dataset is associated with the paper titled "Influence of grain-scale heterogeneity on crack propagation in crystalline rocks: Insight from phase-field model", which is currently under peer review for potential publication in the journal "THEORETICAL AND APPLIED FRACTURE MECHANICS." The repository provides the MATLAB program for generating (i) different mineral distribution patterns under the same polygonal mesh (based on Voronoi tessellation) and (ii) different mineral contents . The associated COMSOL source files can be obtained by contacting the corresponding author at xingjq@tongji.edu.cn. The dataset will be updated following the formal publication of the paper, and the latest version in the repository should be considered the most accurate and complete.
DOI: 10.17632/79mtmwj9cj
title: Employment Prospects and Firm-based Training - Evidence from Opening the Swiss- German Border

description: Replication package for "Employment Prospects and Firm-based Training - Evidence from Opening the Swiss- German Border"
DOI: 10.17632/79mtmwj9cj.1
title: Employment Prospects and Firm-based Training - Evidence from Opening the Swiss- German Border

description: Replication package for "Employment Prospects and Firm-based Training - Evidence from Opening the Swiss- German Border"
DOI: 10.17632/7mmzstmwn3
title: Sung Valley carbonatite: Crystallization Dynamics and Controls on REE Fertility

description: EBSD and LA-ICp-MS data for all figures in the manuscript by Hu et al., to submitted to Geochimica et Cosmochimica Acta on Sung Valley carbonatites.
DOI: 10.17632/7mmzstmwn3.1
title: Sung Valley carbonatite: Crystallization Dynamics and Controls on REE Fertility

description: EBSD and LA-ICp-MS data for all figures in the manuscript by Hu et al., to submitted to Geochimica et Cosmochimica Acta on Sung Valley carbonatites.
DOI: 10.17632/8hszkm32jh
title: Survey Dataset on Volunteer Engagement, Job Satisfaction, Work-Related Flow and Organisational Factors in an NGO

description: This dataset was generated through the administration of a structured questionnaire to volunteers serving in a non-governmental organisation (NGO). The instrument includes validated psychometric scales measuring work engagement (UWES), job satisfaction (SL-20/23), work-related flow (WOLF), and organisational variables such as leadership perception, length of service, and intention to remain.
All items were measured using five-point Likert-type response scales. Participation was voluntary and anonymous, and no personally identifiable information was collected. The data were gathered exclusively for academic research purposes.
The dataset may be used for:
Psychometric validation studies
Reliability analysis (Cronbach’s alpha, McDonald’s omega)
Exploratory and confirmatory factor analysis (EFA / CFA)
Structural Equation Modelling (SEM)
Partial Least Squares Structural Equation Modelling (PLS-SEM)
Latent Class Analysis (LCA)
Latent Profile Analysis (LPA)
Multinomial logistic regresion
Mediation and moderation analysis
Path analysis
Measurement invariance testing
Multivariate statistical modelling
Cluster analysis
Organisational behaviour research
Volunteer management research
Predictive modelling of intention to remain
Comparative studies across organisational contexts
DOI: 10.17632/8hszkm32jh.1
title: Survey Dataset on Volunteer Engagement, Job Satisfaction, Work-Related Flow and Organisational Factors in an NGO

description: This dataset was generated through the administration of a structured questionnaire to volunteers serving in a non-governmental organisation (NGO). The instrument includes validated psychometric scales measuring work engagement (UWES), job satisfaction (SL-20/23), work-related flow (WOLF), and organisational variables such as leadership perception, length of service, and intention to remain.
All items were measured using five-point Likert-type response scales. Participation was voluntary and anonymous, and no personally identifiable information was collected. The data were gathered exclusively for academic research purposes.
The dataset may be used for:
Psychometric validation studies
Reliability analysis (Cronbach’s alpha, McDonald’s omega)
Exploratory and confirmatory factor analysis (EFA / CFA)
Structural Equation Modelling (SEM)
Partial Least Squares Structural Equation Modelling (PLS-SEM)
Latent Class Analysis (LCA)
Latent Profile Analysis (LPA)
Multinomial logistic regresion
Mediation and moderation analysis
Path analysis
Measurement invariance testing
Multivariate statistical modelling
Cluster analysis
Organisational behaviour research
Volunteer management research
Predictive modelling of intention to remain
Comparative studies across organisational contexts
DOI: 10.17632/8w9mcgfn6v
title: Collagen I-to-III ratio data in healing tendon tissue: comparison of dual Herovici staining with two single immunohistochemical labelings for Collagen I and Collagen III

description: Histological sections from three experimental groups were subjected to Herovici (HV) staining as well as immunohistochemistry (IHC) for Collagen I and III. The groups comprised: (1) native rabbit Achilles tendons (NT; untreated control); (2) a pure DegraPol® tube-treated tendon (Tube only); and (3) a coaxially electrospun DegraPol® tube releasing platelet-derived growth factor-BB (PDGF-BB) (Tube+GF), both evaluated 3 weeks post-transection and suture. The Collagen I-to-III ratio was determined by the red-to-green signal ratio for IHC and the red-to-blue ratio for HV across various anatomical zones. Correlation analyses were performed to compare HV- and IHC-based ratios. Both raw and processed datasets for these ratios are provided. Furthermore, correlation plots are given.
DOI: 10.17632/8w9mcgfn6v.1
title: Collagen I-to-III ratio data in healing tendon tissue: comparison of dual Herovici staining with two single immunohistochemical labelings for Collagen I and Collagen III

description: Histological sections from three experimental groups were subjected to Herovici (HV) staining as well as immunohistochemistry (IHC) for Collagen I and III. The groups comprised: (1) native rabbit Achilles tendons (NT; untreated control); (2) a pure DegraPol® tube-treated tendon (Tube only); and (3) a coaxially electrospun DegraPol® tube releasing platelet-derived growth factor-BB (PDGF-BB) (Tube+GF), both evaluated 3 weeks post-transection and suture. The Collagen I-to-III ratio was determined by the red-to-green signal ratio for IHC and the red-to-blue ratio for HV across various anatomical zones. Correlation analyses were performed to compare HV- and IHC-based ratios. Both raw and processed datasets for these ratios are provided. Furthermore, correlation plots are given.