cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pbzj2j4jf5.1
title: Supplementary figure 2. Pemphigus vulgaris and pemphigus foliaceus. Kaplan-Meier curve of time to CR-off in PV and PF

description: Kaplan–Meier survival curves compare PV and PF patients. Median times to CR-off, log-rank p-values, and hazard ratios (HRs) with 95% CIs are shown. The y-axis represents the probability of not yet achieving CR-off.
Abbreviations: CR-on, complete remission on treatment; CR-off, complete remission off treatment; PV, pemphigus vulgaris; PF, pemphigus foliaceus; HR, hazard ratio; CI, confidence interval.
DOI: 10.17632/8gkxbtx23x
title: Supplementary figure III. Pemphigus vulgaris and pemphigus foliaceus. Forest plot of univariate predictors of complete remission on treatment (CR-on).

description: Predictors included pemphigus subtype (PF vs PV), age &gt;50 years, sex, number of rituximab cycles (≥2 vs 1), time from diagnosis to rituximab initiation (&gt;12 months vs ≤12), and concurrent use of oral corticosteroids or steroid-sparing agents. Odds ratios are displayed on a logarithmic scale with 95% confidence intervals (horizontal lines). The dashed vertical line at OR = 1 represents no effect. Numerical results are provided in Table 4.

Abbreviations: OR, odds ratio; CI, confidence interval; RTX, rituximab; CR-on, complete remission on treatment; PF, pemphigus foliaceus; PV, pemphigus vulgaris.
DOI: 10.17632/8gkxbtx23x.1
title: Supplementary figure III. Pemphigus vulgaris and pemphigus foliaceus. Forest plot of univariate predictors of complete remission on treatment (CR-on).

description: Predictors included pemphigus subtype (PF vs PV), age &gt;50 years, sex, number of rituximab cycles (≥2 vs 1), time from diagnosis to rituximab initiation (&gt;12 months vs ≤12), and concurrent use of oral corticosteroids or steroid-sparing agents. Odds ratios are displayed on a logarithmic scale with 95% confidence intervals (horizontal lines). The dashed vertical line at OR = 1 represents no effect. Numerical results are provided in Table 4.

Abbreviations: OR, odds ratio; CI, confidence interval; RTX, rituximab; CR-on, complete remission on treatment; PF, pemphigus foliaceus; PV, pemphigus vulgaris.
DOI: 10.17632/n987w7yc4s
title: The Global Financial Cycle and Maturity Mismatches between Investment and Financing

description: This replication package includes dataset, code, and documentation required to reproduce the empirical results reported in the above-mentioned paper. Its purpose is to promote research transparency and to facilitate independent verification and replication of this study’s statistical analyses.
DOI: 10.17632/n987w7yc4s.2
title: The Global Financial Cycle and Maturity Mismatches between Investment and Financing

description: This replication package includes dataset, code, and documentation required to reproduce the empirical results reported in the above-mentioned paper. Its purpose is to promote research transparency and to facilitate independent verification and replication of this study’s statistical analyses.
DOI: 10.17632/93r2cxvbdx
title: BECS: A dataset for multi-class sentiment analysis of Bangla e-commerce reviews

description: The BECS (Bangla E-Commerce Sentiment) dataset is a high-quality textual resource for multi-class sentiment analysis in Bangla, developed to address the lack of publicly available e-commerce sentiment datasets for this low-resource language. It contains 15,584 Bangla reviews collected from Facebook, YouTube, and Daraz, reflecting real customer opinions on online shopping experiences.

The data were refined from an initial 20,604 reviews through cleaning, normalization, deduplication, and anonymization. Each review is manually annotated as Positive, Negative, or Neutral by trained native Bangla speakers, ensuring annotation reliability and balanced class distribution. The dataset is released in CSV format and has been validated through baseline experiments using traditional machine learning and transformer-based models, confirming its suitability for modern NLP research.

# BECS is suitable for applications in:
- Bangla sentiment analysis and opinion mining
- Benchmarking machine learning and transformer-based NLP models
- E-commerce review analysis and customer feedback modeling
- Low-resource language research and multilingual NLP studies

# Key Features
- Total entries: 15,584 Bangla reviews
- Data type: Text
- Sentiment categories: Positive (6,019), Negative (3,841) and, Neutral (5,724)
- Data format: CSV / XLSX
- Source platforms: Facebook, YouTube, Daraz
- Language: Bangla (with minimal code-mixing)
- Annotation: Manual, expert-validated

# Potential Uses
This dataset can be used to train, evaluate, and benchmark sentiment analysis models for Bangla text, conduct transfer learning experiments, and support comparative studies in low-resource NLP. It also serves as a practical open-access resource for researchers, developers, and educators working on e-commerce analytics, opinion mining, and equitable language technology development.
DOI: 10.17632/93r2cxvbdx.1
title: BECS: A dataset for multi-class sentiment analysis of Bangla e-commerce reviews

description: The BECS (Bangla E-Commerce Sentiment) dataset is a high-quality textual resource for multi-class sentiment analysis in Bangla, developed to address the lack of publicly available e-commerce sentiment datasets for this low-resource language. It contains 15,584 Bangla reviews collected from Facebook, YouTube, and Daraz, reflecting real customer opinions on online shopping experiences.

The data were refined from an initial 20,604 reviews through cleaning, normalization, deduplication, and anonymization. Each review is manually annotated as Positive, Negative, or Neutral by trained native Bangla speakers, ensuring annotation reliability and balanced class distribution. The dataset is released in CSV format and has been validated through baseline experiments using traditional machine learning and transformer-based models, confirming its suitability for modern NLP research.

# BECS is suitable for applications in:
- Bangla sentiment analysis and opinion mining
- Benchmarking machine learning and transformer-based NLP models
- E-commerce review analysis and customer feedback modeling
- Low-resource language research and multilingual NLP studies

# Key Features
- Total entries: 15,584 Bangla reviews
- Data type: Text
- Sentiment categories: Positive (6,019), Negative (3,841) and, Neutral (5,724)
- Data format: CSV / XLSX
- Source platforms: Facebook, YouTube, Daraz
- Language: Bangla (with minimal code-mixing)
- Annotation: Manual, expert-validated

# Potential Uses
This dataset can be used to train, evaluate, and benchmark sentiment analysis models for Bangla text, conduct transfer learning experiments, and support comparative studies in low-resource NLP. It also serves as a practical open-access resource for researchers, developers, and educators working on e-commerce analytics, opinion mining, and equitable language technology development.
DOI: 10.17632/f36p74z28h
title: Supplementary table II. Pemphigus vulgaris and pemphigus foliaceus. Adverse events in 24 pemphigus patients treated with rituximab

description: Adverse events are grouped into infusion-related and serious adverse events. Values represent number of patients (% of total cohort, N=24). Events not observed are listed for completeness.
DOI: 10.17632/f36p74z28h.1
title: Supplementary table II. Pemphigus vulgaris and pemphigus foliaceus. Adverse events in 24 pemphigus patients treated with rituximab

description: Adverse events are grouped into infusion-related and serious adverse events. Values represent number of patients (% of total cohort, N=24). Events not observed are listed for completeness.
DOI: 10.17632/sryjg7cr7h
title: oviposition data

description: The hostplant resources and vegetation structure data on the oviposition behavior of the Luehdorfia chinensis Leech 1893 in the three habitat areas of QL(qinling), THL(taohongling), and NJ(nanjing), as well as the data on the occupied quadrats and unoccupied quadrats, are presented.
DOI: 10.17632/sryjg7cr7h.1
title: oviposition data

description: The hostplant resources and vegetation structure data on the oviposition behavior of the Luehdorfia chinensis Leech 1893 in the three habitat areas of QL(qinling), THL(taohongling), and NJ(nanjing), as well as the data on the occupied quadrats and unoccupied quadrats, are presented.
DOI: 10.17632/xrhs4vd8mr
title: General dataset for research purposes

description: This dataset contains research files and supporting materials for sharing and reuse. Project website: https://song.co.jp/fx/
DOI: 10.17632/xrhs4vd8mr.1
title: General dataset for research purposes

description: This dataset contains research files and supporting materials for sharing and reuse. Project website: https://song.co.jp/fx/
DOI: 10.17632/77jmzhcssr
title: Replication Folder for "Impact of pension insurance and health insurance on pension savings: Evidence from China"

description: This replication folder contains the necessary codes to replicate the quantitative results of the paper.
DOI: 10.17632/77jmzhcssr.7
title: Replication Folder for "Impact of pension insurance and health insurance on pension savings: Evidence from China"

description: This replication folder contains the necessary codes to replicate the quantitative results of the paper.
DOI: 10.17632/vhgdkj8rxv
title: Numerical values of erosivity indicators for different soil layers

description: These are the measured values of indicators such as aggregate stability, mechanical properties and hydro-physical properties of different soil masses from the top to the bottom on the vertical profile of the Ming Great Wall site in the alpine region.
DOI: 10.17632/vhgdkj8rxv.1
title: Numerical values of erosivity indicators for different soil layers

description: These are the measured values of indicators such as aggregate stability, mechanical properties and hydro-physical properties of different soil masses from the top to the bottom on the vertical profile of the Ming Great Wall site in the alpine region.
DOI: 10.17632/g76hddpj9n
title: Dataset for Digital Storytelling and Narrative Development among Taiwanese Indigenous Children

description: (1) The datasets support a qualitative study investigating how culturally responsive digital storytelling influences narrative development and cultural awareness among Taiwanese Indigenous children in remote elementary schools. The participants were fourth- and fifth-grade Indigenous learners (ages 10–11); all data have been fully anonymized using participant codes to protect confidentiality. The dataset includes two rounds of storytelling narration tasks, focus-group interview transcripts, and related analytic materials documenting students’ narrative progression and intercultural reflections. Supplementary files include coding frameworks and descriptive summaries used to analyze narrative levels and thematic patterns across data sources.

(2) The datasets include sample data that are representative of the full dataset used for analysis in this article and are available in the Mendeley Data repository at https://doi.org/10.17632/g76hddpj9n.1. Access to the complete dataset is restricted to protect participant confidentiality but may be granted upon reasonable request in accordance with the guidelines of the Research Ethics Committee.
DOI: 10.17632/g76hddpj9n.1
title: Dataset for Digital Storytelling and Narrative Development among Taiwanese Indigenous Children

description: (1) The datasets support a qualitative study investigating how culturally responsive digital storytelling influences narrative development and cultural awareness among Taiwanese Indigenous children in remote elementary schools. The participants were fourth- and fifth-grade Indigenous learners (ages 10–11); all data have been fully anonymized using participant codes to protect confidentiality. The dataset includes two rounds of storytelling narration tasks, focus-group interview transcripts, and related analytic materials documenting students’ narrative progression and intercultural reflections. Supplementary files include coding frameworks and descriptive summaries used to analyze narrative levels and thematic patterns across data sources.

(2) The datasets include sample data that are representative of the full dataset used for analysis in this article and are available in the Mendeley Data repository at https://doi.org/10.17632/g76hddpj9n.1. Access to the complete dataset is restricted to protect participant confidentiality but may be granted upon reasonable request in accordance with the guidelines of the Research Ethics Committee.
DOI: 10.17632/t9t85c3jvf
title: CVL Pre-Post Test Scores and SPSS Results

description: This is the pre-and post test results of students who attended the CVL intervention and it shows how their performance in critical visual reading changed after the intervention. Pre-post test essays were assessed on the basis of the rubrics developed by Romero and Bobkina (2021) which included four reader roles: Code Breaker, Text Participant, Text User, and Text Analyst each further divided to two subskills. The evaluation of each role followed a 0-3 scale (0 = unsatisfactory, 3 = excellent) producing a total score ranging from 0 to 6. Paired sample t-test results shows the mean differences were statistically significant.
DOI: 10.17632/t9t85c3jvf.1
title: CVL Pre-Post Test Scores and SPSS Results

description: This is the pre-and post test results of students who attended the CVL intervention and it shows how their performance in critical visual reading changed after the intervention. Pre-post test essays were assessed on the basis of the rubrics developed by Romero and Bobkina (2021) which included four reader roles: Code Breaker, Text Participant, Text User, and Text Analyst each further divided to two subskills. The evaluation of each role followed a 0-3 scale (0 = unsatisfactory, 3 = excellent) producing a total score ranging from 0 to 6. Paired sample t-test results shows the mean differences were statistically significant.
DOI: 10.15468/dl.w99gdj
title: Occurrence Download

description: A dataset containing 4950 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= 37.42857426825602
 AND decimallatitude &lt;= 41.89415215079384
 AND decimallongitude &gt;= 57.564121794054664
 AND decimallongitude &lt;= 65.93482227598784
 AND GBIF_Within('POLYGON ((65.934822 37.428574, 65.934822 41.894152, 57.564122 41.894152, 57.564122 37.428574, 65.934822 37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 4950 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001997-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/23tn65xm7f
title: Black Tea Powder Dataset for Fine-Grained Visual Classification

description: The Black Tea Powder Image Dataset is a balanced multi-device image dataset designed for fine-grained classification of black tea powder grades using computer vision techniques. The dataset consists of 3,346 RGB images collected using two different imaging devices; a digital camera (Sony A7III) and a smartphone (Samsung Galaxy A22), to capture sensor-level variability and enhance robustness for machine learning applications.

The black tea powder samples were sourced from PT Perkebunan Nusantara VII Rancabali Tea Plantation, West Java, Indonesia. However, the image acquisition process was conducted independently and was not governed by industrial grading standards or visual quality control procedures of the plantation. Variations in color and appearance across images arise primarily from imaging devices rather than intrinsic differences in tea quality.

The dataset is divided into two subsets based on the acquisition device:
1. Camera-based dataset: 1,672 images
2. Smartphone-based dataset: 1,674 images

Both subsets were collected under controlled conditions using a consistent acquisition protocol, including fixed background and similar shooting distance, to ensure comparability across devices. While the same lighting setup was used throughout the acquisition process, variations in image appearance were observed due to differences in imaging devices and operators.

The dataset covers eight classes of black tea powder:
Broken Mix (BM) – 418 images
Broken Orange Pekoe (BOP) – 432 images
Broken Pekoe (BP) – 410 images
Broken Tea (BT) – 416 images
Dust – 403 images
Fanning 2 – 405 images
Pekoe Fanning (PF) – 457 images
Powdery Dust (PW Dust) – 405 images

Images are organized in a hierarchical directory structure based on the acquisition device and class label. At the top level, the dataset is divided into two main folders corresponding to the image capture devices (Camera and Phone). Within each device-specific folder, images are further grouped into eight subfolders representing the black tea powder classes: BM, BOP, BP, Broken Tea, Dust, Fanning 2, PF, and PW Dust.
DOI: 10.17632/23tn65xm7f.1
title: Black Tea Powder Dataset for Fine-Grained Visual Classification

description: The Black Tea Powder Image Dataset is a balanced multi-device image dataset designed for fine-grained classification of black tea powder grades using computer vision techniques. The dataset consists of 3,346 RGB images collected using two different imaging devices; a digital camera (Sony A7III) and a smartphone (Samsung Galaxy A22), to capture sensor-level variability and enhance robustness for machine learning applications.

The black tea powder samples were sourced from PT Perkebunan Nusantara VII Rancabali Tea Plantation, West Java, Indonesia. However, the image acquisition process was conducted independently and was not governed by industrial grading standards or visual quality control procedures of the plantation. Variations in color and appearance across images arise primarily from imaging devices rather than intrinsic differences in tea quality.

The dataset is divided into two subsets based on the acquisition device:
1. Camera-based dataset: 1,672 images
2. Smartphone-based dataset: 1,674 images

Both subsets were collected under controlled conditions using a consistent acquisition protocol, including fixed background and similar shooting distance, to ensure comparability across devices. While the same lighting setup was used throughout the acquisition process, variations in image appearance were observed due to differences in imaging devices and operators.

The dataset covers eight classes of black tea powder:
Broken Mix (BM) – 418 images
Broken Orange Pekoe (BOP) – 432 images
Broken Pekoe (BP) – 410 images
Broken Tea (BT) – 416 images
Dust – 403 images
Fanning 2 – 405 images
Pekoe Fanning (PF) – 457 images
Powdery Dust (PW Dust) – 405 images

Images are organized in a hierarchical directory structure based on the acquisition device and class label. At the top level, the dataset is divided into two main folders corresponding to the image capture devices (Camera and Phone). Within each device-specific folder, images are further grouped into eight subfolders representing the black tea powder classes: BM, BOP, BP, Broken Tea, Dust, Fanning 2, PF, and PW Dust.
DOI: 10.17632/y568y8ttvx
title: Ecological Security Pattern of China's Urban Agglomerations

description: This is the ecological security pattern of Chinese urban agglomerations, which includes ecological sources, ecological corridors, ecological resistance surfaces, ecological pinch points, and the SHP document of Chinese urban agglomerations.
DOI: 10.17632/y568y8ttvx.1
title: Ecological Security Pattern of China's Urban Agglomerations

description: This is the ecological security pattern of Chinese urban agglomerations, which includes ecological sources, ecological corridors, ecological resistance surfaces, ecological pinch points, and the SHP document of Chinese urban agglomerations.
DOI: 10.17632/83y4dbgmrp
title: Gene primers for metabolic-associated steatohepatitis

description: Gene primers of human and mouse for metabolic-associated steatohepatitis, which encompass genes associated with lipid synthesis, fatty acid oxidation, inflammation, and hepatic fibrosis.
DOI: 10.17632/83y4dbgmrp.1
title: Gene primers for metabolic-associated steatohepatitis

description: Gene primers of human and mouse for metabolic-associated steatohepatitis, which encompass genes associated with lipid synthesis, fatty acid oxidation, inflammation, and hepatic fibrosis.
DOI: 10.17632/54rxmknxmd
title: Sample Plot Summary Table

description: This table is a summary of basic data
DOI: 10.17632/54rxmknxmd.1
title: Sample Plot Summary Table

description: This table is a summary of basic data
DOI: 10.15468/dl.48k5nu
title: Occurrence Download

description: A dataset containing 5548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Amaranthus cruentus"
 ]
}

 The dataset includes 5548 records from 346 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002003-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8s67xk4sxx
title: Clinical predictors and immuno-inflammatory indices for sepsis risk after ureteroscopic lithotripsy

description: This dataset contains de-identified clinical records of patients who underwent ureteroscopic lithotripsy (URSL) at Shanghai Tenth People‘s Hospital] between January 2023 and June 2025. The primary objective is to support the development and validation of predictive models for postoperative sepsis, with a specific focus on evaluating the incremental value of a novel Systemic Immune-Inflammatory Complex Index (SIICI) against established indices (SII, SIRI, PIV).

The dataset comprises preoperative, intraoperative, and postoperative variables for 803 patients, including [57] cases diagnosed with sepsis according to Sepsis-3 criteria (qSOFA ≥2) and [746] non-sepsis controls.

**Key variables include:**

* **Demographics:** Age, sex, BMI, comorbidities (hypertension, diabetes).

* **Preoperative Laboratory Tests:** C-reactive protein (CRP), white blood cell count (WBC), neutrophil, lymphocyte, monocyte, platelet counts, albumin, creatinine, uric acid.

* **Calculated Immuno-inflammatory Indices:** SIICI, SII, SIRI, PIV (formulas provided in the associated publication).

* **Surgical & Stone Characteristics:** Operation time &gt;60 min, hydronephrosis, maximum stone diameter &gt;1.5 cm.

* **Urinalysis & Microbiology:** Urine nitrite, leukocyte esterase, urine WBC count, urine culture status.

* **Outcome:** Postoperative sepsis (binary: Yes/No).

The unique value of this dataset lies in the preoperative calculation of the SIICI index, allowing for head-to-head comparison with other indices for early sepsis risk stratification. It is particularly valuable for researchers in urology, critical care, and clinical informatics working on predictive analytics, biomarker evaluation, and clinical decision support tool development.