cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57903/uj/rlg3e9
title: Polish adaptation and further psychometric evaluation of structure and test-retest reliability of Chronic Pain Values Inventory (CPVI)

description: The dataset is part of a larger project involving two studies. Study 1: this study was conducted online. The dataset contains information gathered from 418 participants suffering from chronic pain lasting more than 3 months and a physician's diagnosis of a medical condition associated with chronic pain. The dataset encompasses sociodemographic data, including age, gender, marital status, employment status, educational level, and place of residence. Additionally, it features data from a medical history survey, and the following standardized questionnaires: the Polish Version of the Chronic Pain Acceptance Questionnaire (CPAQ-8) (McCracken, Vowles & Eccleston, 2004) [items: 1-8],Pain Anxiety Symptoms Scale-20 (PASS-20) (McCracken & Dhingra, 2002) [items: 1-20], Chronic Pain Values Inventory (CPVI) (McCracken & Yang, 2006) [importance score items: 1-6; success score items:1-6], Depression Anxiety Stress Scales-21 (DASS-21) (Lovibond and Lovibond, 1995) [items: 1-21], Committed Action Questionnaire (CAQ-8) (McCracken et al., 2015) [items: 1-8]. Study 2: The dataset contains information gathered from 148 individuals. Participants with the presence of chronic pain lasting more than 3 months, and a physician's diagnosis of a medical condition associated with chronic pain were recruited from pain management facilities in Poland. The dataset includes sociodemographic data such as: age, gender, marital status, employment status, education level and place of residence. Additionally, it features data from a medical history survey, and the Polish Version of the Chronic Pain Acceptance Questionnaire-Revised (CPAQ-8) [items: 1-8], Pain Anxiety Symptoms Scale-20 (PASS-20) (McCracken & Dhingra, 2002) [items: 1-20], Chronic Pain Values Inventory (CPVI) (McCracken & Yang, 2006) [importance score items: 1-6; success score items:1-6].
DOI: 10.5281/zenodo.18103706
title: Physics-aware sampling critical points datasets

description: The file contains data for physics-aware sampling.
DOI: 10.5281/zenodo.18103707
title: Physics-aware sampling critical points datasets

description: The file contains data for physics-aware sampling.
DOI: 10.5281/zenodo.18096230
title: P wave receiver functions in the 1668 Tancheng earthquake ruputure zone along the Tan-Lu Fault Zone

description: This file contains the P-wave receiver functions for G = 2.0 (RFG2.0) and 5.0 (RFG5.0), H-κ stacking results (H-κ) and the CCP results (CCP_profile).
DOI: 10.5281/zenodo.18096231
title: P wave receiver functions in the 1668 Tancheng earthquake ruputure zone along the Tan-Lu Fault Zone

description: This file contains the P-wave receiver functions for G = 2.0 (RFG2.0) and 5.0 (RFG5.0), H-κ stacking results (H-κ) and the CCP results (CCP_profile).
DOI: 10.6084/m9.figshare.30977587
title: Nitrogen addition reduces growth variability in plantations not in natural forests

description: Nitrogen addition reduces growth variability in plantations not in natural forests
DOI: 10.6084/m9.figshare.30977587.v1
title: Nitrogen addition reduces growth variability in plantations not in natural forests

description: Nitrogen addition reduces growth variability in plantations not in natural forests
DOI: 10.57760/sciencedb.ecodb.00244
title: A dataset of carbon and water fluxes of the cropland ecosystem at Daman Station from 2012 to 2024
title: 2012-2024年大满农田生态系统碳水通量观测数据集

description: This dataset is the flux observation data of the Daman cropland ecosystem from 2012 to 2024, collected at the Daman Irrigation District Oasis Cropland Station in Gansu Province. A standardized dataset of ecosystem carbon and water fluxes and key meteorological elements has been developed based on the ChinaFLUX data processing system. The annual data includes 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY). 
description: This dataset is the flux observation data of the Daman cropland ecosystem from 2012 to 2024, collected at the Daman Irrigation District Oasis Cropland Station in Gansu Province. A standardized dataset of ecosystem carbon and water fluxes and key meteorological elements has been developed based on the ChinaFLUX data processing system. The annual data includes 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.5281/zenodo.18103673
title: Excel Data from Heat Transfer Analysis of Heat Sink Study

description: This dataset provides the underlying data for the manuscript "Heat Transfer Analysis of Heat Sink", Submission ID BMSE-D-25-04618 (p. 1). It includes the raw and processed data generated from Computational Fluid Dynamics (CFD) simulations performed using ANSYS Fluent (p. 2).

The data files (in Excel format) contain the calculated values for key performance metrics:



Thermal resistance (



Rthbold cap R sub bold t bold h end-sub
𝐑𝐭𝐡
) (p. 5)

Average heat transfer coefficient (



harraybold h sub bold a bold r bold r bold a bold y end-sub
𝐡𝐚𝐫𝐫𝐚𝐲
) (p. 5)


Data is provided for three different heat sink geometries analyzed in the study:



Solid rectangular fins (baseline case) (p. 4)

Uniformly perforated fins (3 mm and 6 mm diameters) (p. 4)

Alternating perforated fins (3 mm and 6 mm diameters) (p. 4)


This data was used to create the figures and tables presented in the associated publication. A separate README file is included to explain the column headers and content of each Excel file.
DOI: 10.5281/zenodo.18103676
title: Excel Data from Heat Transfer Analysis of Heat Sink Study

description: This dataset provides the underlying data for the manuscript "Heat Transfer Analysis of Heat Sink", Submission ID BMSE-D-25-04618 (p. 1). It includes the raw and processed data generated from Computational Fluid Dynamics (CFD) simulations performed using ANSYS Fluent (p. 2).

The data files (in Excel format) contain the calculated values for key performance metrics:



Thermal resistance (



Rthbold cap R sub bold t bold h end-sub
𝐑𝐭𝐡
) (p. 5)

Average heat transfer coefficient (



harraybold h sub bold a bold r bold r bold a bold y end-sub
𝐡𝐚𝐫𝐫𝐚𝐲
) (p. 5)


Data is provided for three different heat sink geometries analyzed in the study:



Solid rectangular fins (baseline case) (p. 4)

Uniformly perforated fins (3 mm and 6 mm diameters) (p. 4)

Alternating perforated fins (3 mm and 6 mm diameters) (p. 4)


This data was used to create the figures and tables presented in the associated publication. A separate README file is included to explain the column headers and content of each Excel file.
DOI: 10.5281/zenodo.18103766
title: 毕业论文附表3-4

description: 由DeepMEP模型量化的磷酸化紊乱(表3:Uniprot模型,表4:CBMAP模型)
DOI: 10.5281/zenodo.18103767
title: 毕业论文附表3-4

description: 由DeepMEP模型量化的磷酸化紊乱(表3:Uniprot模型,表4:CBMAP模型)
DOI: 10.21227/9wn1-ev68
title: "Text-Free Multi-domain Graph Pre-training: Toward Graph Foundation Models"

description: "DDataset for pre-training and cross-domain transfer evaluation in graph foundation models."
DOI: 10.21227/vy7j-9j47
title: "The Waterloo Exploration Database"

description: "The Waterloo Exploration Database is a large-scale Image Quality Assessment (IQA) database created by the University of Waterloo, Canada \"Waterloo Exploration Database: New Challenges for Image Quality Assessment Models | IEEE Journals & Magazine | IEEE Xplore\". It is designed to capture the challenges posed by the diversity of real-world digital image content and to evaluate the generalization capability of image quality assessment models. The database contains 4,744 pristine natural images and 94,880 distorted images generated from these originals. In this work, we extract the pristine images from the database for image processing tasks."
DOI: 10.15468/dl.p4c9be
title: Occurrence Download

description: A dataset containing 1365814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melanitta perspicillata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 1365814 records from 187 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069620-251120083545085/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.30977596
title: Diagnostic and clinical utility of exome sequencing and chromosomal microarray in children with GDD/iD: a meta-analysis

description: Global developmental delay/intellectual disability (GDD/ID) is among the most common neurodevelopmental disorders, with up to half of cases are attributed to genetic factors. Chromosome microarray (CMA) has traditionally been the primary genetic test for idiopathic GDD/ID. However, whole exome sequencing (WES) and whole genome sequencing (WGS) have recently emerged, substantially increasing diagnostic yields in these populations. We conducted a comprehensive literature search of PubMed, Scopus, EMBASE, and the Cochrane Library from inception to April 29, 2025. Studies reporting the diagnostic utility of these tests in children with GDD/ID were included and analyzed. A total of 102 studies, comprising 55,752 children, were reviewed. The pooled diagnostic yield of WES was 0.37 (95% CI: 0.33–0.41; I<sup>2</sup> = 93%), significantly higher than that of CMA at 0.19 (95% CI: 0.16–0.21; I<sup>2</sup> = 95%). Subgroup analyses showed that WES yielded significantly higher diagnostic rates than CMA in both same-sample comparisons (OR = 2.27, 95% CI: 1.08–4.78) and different-sample comparisons (OR = 1.65, 95% CI: 1.15–2.37). Only one study evaluated WGS, reporting a diagnostic yield of 0.27. Meta-regression revealed a significant association between CMA diagnostic yield and the proportion of male participants (<i>p</i> &lt; 0.01), but not with WES. No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities. In children with unexplained GDD/ID, WES demonstrates superior diagnostic and clinical utility compared to CMA. Incorporating WES as a first-line investigation in the diagnostic evaluation of GDD/ID may be warranted. The pooled diagnostic yield of whole exome sequencing (WES) was 0.37 (95% CI: 0.33–0.41), significantly higher than that of chromosomal microarray (CMA) at 0.19 (95% CI: 0.16–0.21) in children with global developmental delay/intellectual disability (GDD/ID).No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities.WES may be warranted as a first-line investigation in the diagnostic evaluation of GDD/ID. The pooled diagnostic yield of whole exome sequencing (WES) was 0.37 (95% CI: 0.33–0.41), significantly higher than that of chromosomal microarray (CMA) at 0.19 (95% CI: 0.16–0.21) in children with global developmental delay/intellectual disability (GDD/ID). No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities. WES may be warranted as a first-line investigation in the diagnostic evaluation of GDD/ID.
DOI: 10.6084/m9.figshare.30977596.v1
title: Diagnostic and clinical utility of exome sequencing and chromosomal microarray in children with GDD/iD: a meta-analysis

description: Global developmental delay/intellectual disability (GDD/ID) is among the most common neurodevelopmental disorders, with up to half of cases are attributed to genetic factors. Chromosome microarray (CMA) has traditionally been the primary genetic test for idiopathic GDD/ID. However, whole exome sequencing (WES) and whole genome sequencing (WGS) have recently emerged, substantially increasing diagnostic yields in these populations. We conducted a comprehensive literature search of PubMed, Scopus, EMBASE, and the Cochrane Library from inception to April 29, 2025. Studies reporting the diagnostic utility of these tests in children with GDD/ID were included and analyzed. A total of 102 studies, comprising 55,752 children, were reviewed. The pooled diagnostic yield of WES was 0.37 (95% CI: 0.33–0.41; I<sup>2</sup> = 93%), significantly higher than that of CMA at 0.19 (95% CI: 0.16–0.21; I<sup>2</sup> = 95%). Subgroup analyses showed that WES yielded significantly higher diagnostic rates than CMA in both same-sample comparisons (OR = 2.27, 95% CI: 1.08–4.78) and different-sample comparisons (OR = 1.65, 95% CI: 1.15–2.37). Only one study evaluated WGS, reporting a diagnostic yield of 0.27. Meta-regression revealed a significant association between CMA diagnostic yield and the proportion of male participants (<i>p</i> &lt; 0.01), but not with WES. No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities. In children with unexplained GDD/ID, WES demonstrates superior diagnostic and clinical utility compared to CMA. Incorporating WES as a first-line investigation in the diagnostic evaluation of GDD/ID may be warranted. The pooled diagnostic yield of whole exome sequencing (WES) was 0.37 (95% CI: 0.33–0.41), significantly higher than that of chromosomal microarray (CMA) at 0.19 (95% CI: 0.16–0.21) in children with global developmental delay/intellectual disability (GDD/ID).No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities.WES may be warranted as a first-line investigation in the diagnostic evaluation of GDD/ID. The pooled diagnostic yield of whole exome sequencing (WES) was 0.37 (95% CI: 0.33–0.41), significantly higher than that of chromosomal microarray (CMA) at 0.19 (95% CI: 0.16–0.21) in children with global developmental delay/intellectual disability (GDD/ID). No significant difference in diagnostic utility was observed between isolated GDD/ID and GDD/ID with comorbidities. WES may be warranted as a first-line investigation in the diagnostic evaluation of GDD/ID.
DOI: 10.5281/zenodo.18102812
title: Spatiotemporal Dynamics of Vegetation Greenness and Climatic Drivers Dataset for HarbinSpatiotemporal Dynamics of Vegetation Greenness and Climatic Drivers Dataset for Harbin

description: This dataset contains core data for analyzing the spatiotemporal dynamics of vegetation greenness and its climatic drivers in Harbin, including kNDVI data, air temperature, precipitation, evapotranspiration, solar radiation, and research results.
DOI: 10.5281/zenodo.18102813
title: Spatiotemporal Dynamics of Vegetation Greenness and Climatic Drivers Dataset for HarbinSpatiotemporal Dynamics of Vegetation Greenness and Climatic Drivers Dataset for Harbin

description: This dataset contains core data for analyzing the spatiotemporal dynamics of vegetation greenness and its climatic drivers in Harbin, including kNDVI data, air temperature, precipitation, evapotranspiration, solar radiation, and research results.
DOI: 10.6084/m9.figshare.30892433
title: The conserved guanyl-specific ribonuclease T1 effector EC19 is required for full virulence of the vascular Fusarium fungus in tomato

description: Here, we identify EC19, a secreted effector from <i>Fusarium oxysporum</i> f. sp. <i>lycopersici</i> (Fol), as a key virulence factor in tomato wilt disease. In-locus knockout of <b>EC19</b> significantly reduces Fol virulence, whereas genetic complementation restores pathogenicity. EC19 encodes a conserved ribonuclease T1–like protein with single-stranded RNA cleavage activity and is specifically induced during Fol infection. Structural prediction indicates that EC19 shares high structural similarity with RNase T1 (2RNT). Transient expression assays show that EC19 predominantly localizes to the plant nucleus. Moreover, tomato plants overexpressing EC19 display enhanced susceptibility to Fol, accompanied by suppressed expression of SA-, JA-, ET-, and ABA-associated defense genes. These results demonstrate that EC19 promotes Fol virulence by targeting host RNA metabolism and attenuating hormone-mediated immune responses.
DOI: 10.6084/m9.figshare.30892433.v2
title: The conserved guanyl-specific ribonuclease T1 effector EC19 is required for full virulence of the vascular Fusarium fungus in tomato

description: Here, we identify EC19, a secreted effector from <i>Fusarium oxysporum</i> f. sp. <i>lycopersici</i> (Fol), as a key virulence factor in tomato wilt disease. In-locus knockout of <b>EC19</b> significantly reduces Fol virulence, whereas genetic complementation restores pathogenicity. EC19 encodes a conserved ribonuclease T1–like protein with single-stranded RNA cleavage activity and is specifically induced during Fol infection. Structural prediction indicates that EC19 shares high structural similarity with RNase T1 (2RNT). Transient expression assays show that EC19 predominantly localizes to the plant nucleus. Moreover, tomato plants overexpressing EC19 display enhanced susceptibility to Fol, accompanied by suppressed expression of SA-, JA-, ET-, and ABA-associated defense genes. These results demonstrate that EC19 promotes Fol virulence by targeting host RNA metabolism and attenuating hormone-mediated immune responses.
DOI: 10.6084/m9.figshare.30892433.v1
title: supplementary materials

description: Here, we identify EC19, a secreted effector from <i>Fusarium oxysporum</i> f. sp. <i>lycopersici</i> (Fol), as a key virulence factor in tomato wilt disease. In-locus knockout of <b>EC19</b> significantly reduces Fol virulence, whereas genetic complementation restores pathogenicity. EC19 encodes a conserved ribonuclease T1–like protein with single-stranded RNA cleavage activity and is specifically induced during Fol infection. Structural prediction indicates that EC19 shares high structural similarity with RNase T1 (2RNT). Transient expression assays show that EC19 predominantly localizes to the plant nucleus. Moreover, tomato plants overexpressing EC19 display enhanced susceptibility to Fol, accompanied by suppressed expression of SA-, JA-, ET-, and ABA-associated defense genes. These results demonstrate that EC19 promotes Fol virulence by targeting host RNA metabolism and attenuating hormone-mediated immune responses.
DOI: 10.5281/zenodo.18069843
title: A multimodal Bangla meme dataset for hate speech, sentiment, and sarcasm analysis

description: This repository contains a curated multimodal Bangla meme dataset designed for research on hate speech detection, affective analysis, and pragmatic language understanding in low-resource settings. The dataset comprises 5,126 publicly available Bangla memes, each consisting of an image and embedded Bangla text commonly found in online social media discourse.

The memes were manually collected from multiple publicly accessible social media platforms, including Facebook, Instagram, Reddit, and similar online sources. All images were processed using the Python Imaging Library (Pillow), and embedded Bangla text was extracted using EasyOCR. The extracted text was manually reviewed for accuracy and translated into English to facilitate cross-lingual and multilingual research.

Each meme was independently annotated by three native Bangla-speaking annotators for five binary attributes: sarcasm, humor, vulgarity, violence, and hate speech. A majority-voting strategy was applied, where a label was assigned as positive if at least two annotators agreed. This annotation process ensures label consistency while acknowledging the subjective nature of meme interpretation.

In addition to meme-level annotations, the dataset includes a curated Bangla hate-related lexicon. Hate-associated terms were extracted from the annotated text and refined through manual inspection. The final lexicon contains 441 unique entries, categorized into four semantic classes: vulgar, insult, violent, and hate-related words. This resource enables lexicon-assisted and hybrid approaches to hate speech detection.

The dataset is organized into image files, structured CSV annotation files, and lexicon resources, enabling seamless use in multimodal machine learning experiments. It supports research tasks such as multimodal hate speech detection, sarcasm and humor analysis, affective content modeling, cross-lingual learning, and low-resource Bangla language processing.
DOI: 10.5281/zenodo.18069844
title: A multimodal Bangla meme dataset for hate speech, sentiment, and sarcasm analysis

description: This repository contains a curated multimodal Bangla meme dataset designed for research on hate speech detection, affective analysis, and pragmatic language understanding in low-resource settings. The dataset comprises 5,126 publicly available Bangla memes, each consisting of an image and embedded Bangla text commonly found in online social media discourse.

The memes were manually collected from multiple publicly accessible social media platforms, including Facebook, Instagram, Reddit, and similar online sources. All images were processed using the Python Imaging Library (Pillow), and embedded Bangla text was extracted using EasyOCR. The extracted text was manually reviewed for accuracy and translated into English to facilitate cross-lingual and multilingual research.

Each meme was independently annotated by three native Bangla-speaking annotators for five binary attributes: sarcasm, humor, vulgarity, violence, and hate speech. A majority-voting strategy was applied, where a label was assigned as positive if at least two annotators agreed. This annotation process ensures label consistency while acknowledging the subjective nature of meme interpretation.

In addition to meme-level annotations, the dataset includes a curated Bangla hate-related lexicon. Hate-associated terms were extracted from the annotated text and refined through manual inspection. The final lexicon contains 441 unique entries, categorized into four semantic classes: vulgar, insult, violent, and hate-related words. This resource enables lexicon-assisted and hybrid approaches to hate speech detection.

The dataset is organized into image files, structured CSV annotation files, and lexicon resources, enabling seamless use in multimodal machine learning experiments. It supports research tasks such as multimodal hate speech detection, sarcasm and humor analysis, affective content modeling, cross-lingual learning, and low-resource Bangla language processing.
DOI: 10.15468/dl.gxphd2
title: Occurrence Download

description: A dataset containing 3380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Valeriana fauriei"
 ]
}

 The dataset includes 3380 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069627-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.