cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kt4vbdjxmf.1
title: Diagnostic Performance of Artificial Intelligence for Dental Caries Detection Across Clinical Imaging Modalities: Dataset for Systematic Review and Meta-analysis

description: This dataset accompanies the systematic review and meta-analysis titled “Artificial Intelligence for Dental Caries Detection Across Clinical Imaging: Diagnostic Performance and Implementation Barriers.” It contains all data extracted, curated, and analyzed during the study, including structured information on study characteristics, imaging modalities, AI model architectures, dataset properties, diagnostic accuracy metrics, and reported clinical implementation barriers.

The dataset was compiled following PRISMA 2020 recommendations and includes only human-derived clinical imaging studies. All variables were extracted independently by two reviewers, cross-validated, and harmonized using standardized coding procedures. For quantitative synthesis, the dataset provides complete 2×2 diagnostic contingency tables (TP, FP, FN, TN) required for sensitivity, specificity, DOR, and HSROC estimations. Studies lacking sufficient diagnostic cell counts are included in a separate sheet for transparency.

Additionally, the dataset contains a comprehensive matrix of the risk of bias assessment performed using an AI-adapted QUADAS-2 tool, as well as a structured corpus of reported implementation barriers. These textual data were used to generate the hierarchical semantic clustering model presented in the article.

The dataset is organized into the following files:

Study_Characteristics.xlsx – General study characteristics, imaging modalities, AI architectures, clinical setting, comparator, dataset features, and reference standard.

DTA_Contingency_Tables.xlsx – TP, FP, FN, TN values used for meta-analysis.

QUADAS2_AI_Risk_of_Bias.xlsx – Domain-level and overall risk-of-bias assessments.

Implementation_Barriers_Corpus.xlsx – Verbatim extracted barrier statements used for semantic clustering.

Search_Strategies.pdf – Complete reproducible search strategies for all databases.

Data_Dictionary.pdf – Variable definitions and coding conventions for reproducibility.

This dataset enables full transparency, reproducibility, and reusability of all analyses performed in the review. It may be used to replicate the meta-analytic models, evaluate diagnostic accuracy trends in AI-based caries detection, or support future evidence syntheses on artificial intelligence in dental imaging.
DOI: 10.17632/jkvjjgx33h
title: Raw Data for Materials Today Communications draft

description: Raw Data for Materials Today Communications draft
DOI: 10.17632/jkvjjgx33h.1
title: Raw Data for Materials Today Communications draft

description: Raw Data for Materials Today Communications draft
DOI: 10.26208/kat9-xg56
title: Simulation output and analysis code for Allen et al.’s ‘Numerical Simulations of Supercell Storms Employing the Thin-Boundary-Layer Equations’

description: This dataset contains the simulation output and analysis code used by Allen et al. (2026) for their article, "Numerical Simulations of Supercell Storms Employing the Thin-Boundary-Layer Equations."  Three relatively high-resolution (75-m horizontal grid spacing), large-eddy-simulation (LES) ensembles of tornadic supercell storms are used to investigate the effect of a more realistic treatment of the lower boundary condition on supercell storm simulations. These ensembles vary only in the parameterization of near-surface turbulence: one ensemble uses the semislip scheme, whereas the other two employ versions of the "thin-boundary-layer equations'' (TBLE) approach.  Each simulated storm is a long-lived supercell, with an intense mesocyclone and at least one tornadolike vortex (TLV).  The primary differences observed across the ensembles are (i) the amplitude of near-surface turbulent eddies in the environmental boundary layer and (ii) the intensity of the TLVs, with both TBLE schemes resulting in stronger turbulent eddies in the environment and stronger TLVs within the simulated storms.  Although substantial variations in precipitation distribution and cold pool strength are also found among the simulations, the differences in these larger-scale storm attributes from one ensemble to another are not statistically significant.
DOI: 10.5281/zenodo.17633143
title: M2 Fluctuations of emission ratios in urban plumes

description: NOx:CO2 and CO:CO emission ratios estimated per European city and month-of-the-year or day-of-the-week, respectively. The units of the ratios are t CO2 / t NOx and t CO2 / t CO, respectively. To compute the fluctuations, we use as input the regional European CAMS-REG_v5.1 inventory and the collection of day-of-the-year (daily) emission temporal profiles constructed in CORSO Milestone 1.

This data accompanies the CORSO project Milestone M2 Collection of pollutant-dependent emission temporal profiles and associated uncertainties, available also in this repository
DOI: 10.5281/zenodo.17633142
title: M2 Fluctuations of emission ratios in urban plumes

description: NOx:CO2 and CO:CO emission ratios estimated per European city and month-of-the-year or day-of-the-week, respectively. The units of the ratios are t CO2 / t NOx and t CO2 / t CO, respectively. To compute the fluctuations, we use as input the regional European CAMS-REG_v5.1 inventory and the collection of day-of-the-year (daily) emission temporal profiles constructed in CORSO Milestone 1.

This data accompanies the CORSO project Milestone M2 Collection of pollutant-dependent emission temporal profiles and associated uncertainties, available also in this repository
DOI: 10.15468/dl.usuagx
title: Occurrence Download

description: A dataset containing 3204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argemone polyanthemos",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3204 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039442-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f4jnkpmsy4.1
title: How does digital-physical technology convergence affect corporate ESG ratings: Evidence from China

description: This replication package contains all the data, code, and instructions for the article "How does digital-physical technology convergence affect corporate ESG ratings: Evidence from China." The package is designed for use with Stata.
DOI: 10.15468/dl.kux4pk
title: Occurrence Download

description: A dataset containing 422569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus albus",
 "Year 2003-2025"
 ]
}

 The dataset includes 422569 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039388-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13768241
title: Antutu Benchmark
DOI: 10.5281/zenodo.13382487
title: EOL computer vision pipelines: Object Detection for Image Cropping: Lepidoptera

description: Produced by EOL Lepidoptera Object Detection Model. Automatically crops images of butterflies and moths (Lepidoptera) to square dimensions centered around animal(s). Model available in the EOL Model Zoo on Kaggle.

 

608,163 rows
DOI: 10.5281/zenodo.17633102
title: EOL computer vision pipelines: Object Detection for Image Cropping: Lepidoptera

description: Produced by EOL Lepidoptera Object Detection Model. Automatically crops images of butterflies and moths (Lepidoptera) to square dimensions centered around animal(s). Model available in the EOL Model Zoo on Kaggle.

 

608,163 rows
DOI: 10.15468/dl.mt4jnx
title: Occurrence Download

description: A dataset containing 7048 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-180 -90,180 -90,180 14,-180 14,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Accipiter striatus",
 "Year 1000-2016"
 ]
}

 The dataset includes 7048 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039443-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/hhe-tdf-9s7
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.xu3yva
title: Occurrence Download

description: A dataset containing 1028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bat occurrences from Bulgaria",
 "TaxonKey is Miniopterus schreibersii"
 ]
}

 The dataset includes 1028 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039444-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/b7e-7hs-nxs
title: †Platyceras Conrad, 1840

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/k24x8dbs2g
title: The composition, experience evaluation and dissemination path of overseas Chinese village culture

description: This dataset supports the findings presented in the manuscript entitled "Promoting Culture through Tourism: Elemental Identification, Empirical Assessment, and Dissemination Pathways of Diaspora Culture."

The data were collected through a visitor survey conducted in the Jimei Dashi Overseas Chinese Village (Qiaocun) in Xiamen, China. It comprises two primary components:

Cultural Experience Quality Survey: Contains tourists' ratings on the importance and performance (satisfaction) of various identified Overseas Chinese cultural elements. This data was used for the Importance-Performance Analysis (IPA).

Demographic and Elemental Perception Survey: Includes respondents' demographic profiles (e.g., gender, age, income, education, occupation) and their perceptions of core cultural components (architecture, folk customs, cuisine, and spiritual culture). This data facilitated the content analysis and optimal scaling analysis, exploring the associations between visitor characteristics and cultural element perception.
DOI: 10.17632/k24x8dbs2g.1
title: The composition, experience evaluation and dissemination path of overseas Chinese village culture

description: This dataset supports the findings presented in the manuscript entitled "Promoting Culture through Tourism: Elemental Identification, Empirical Assessment, and Dissemination Pathways of Diaspora Culture."

The data were collected through a visitor survey conducted in the Jimei Dashi Overseas Chinese Village (Qiaocun) in Xiamen, China. It comprises two primary components:

Cultural Experience Quality Survey: Contains tourists' ratings on the importance and performance (satisfaction) of various identified Overseas Chinese cultural elements. This data was used for the Importance-Performance Analysis (IPA).

Demographic and Elemental Perception Survey: Includes respondents' demographic profiles (e.g., gender, age, income, education, occupation) and their perceptions of core cultural components (architecture, folk customs, cuisine, and spiritual culture). This data facilitated the content analysis and optimal scaling analysis, exploring the associations between visitor characteristics and cultural element perception.
DOI: 10.17632/2y22nbkxw5
title: Hayashi et al., SciRep, 2025

description: Raw data for Hayashi et al., "Social rank and social environment combinedly affect REM sleep in mice"
DOI: 10.17632/2y22nbkxw5.1
title: Hayashi et al., SciRep, 2025

description: Raw data for Hayashi et al., "Social rank and social environment combinedly affect REM sleep in mice"
DOI: 10.15468/dl.5neux8
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Amphibia and reptilia - complete lists"
 ]
}

 The dataset includes 77 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039446-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxyyfs
title: Occurrence Download

description: A dataset containing 5470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aristida purpurea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5470 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039445-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mzsbnmmbh9
title: Common Institutional Ownership and Corporate Financial Investment

description: Excessive financial investment may impede corporate sustainable development and overall economic growth. However, the role of common institutional ownership on corporate financial investment remains underexplored. To fill this gap, this study investigates whether and how common institutional ownership influences corporate financial investment using a sample of Chinese listed firms from 2009-2022. We provide evidence that common institutional ownership significantly reduces financial investment and exacerbates investment structure bias towards real investment. Mechanism tests show that common institutional ownership inhibits financial investment by strengthening financing capacity, promoting operational efficiency, and increasing innovative activities. The financialization inhibitory effect is more pronounced among single-segment firms, less competitive industries, and firms located in regions with higher levels of future-oriented culture. Furthermore, common institutional ownership mitigates the negative effect of financialization on the future corporate core performance. Overall, this study provides novel empirical evidence on the positive role of common institutional ownership in real economic development.
DOI: 10.17632/mzsbnmmbh9.1
title: Common Institutional Ownership and Corporate Financial Investment

description: Excessive financial investment may impede corporate sustainable development and overall economic growth. However, the role of common institutional ownership on corporate financial investment remains underexplored. To fill this gap, this study investigates whether and how common institutional ownership influences corporate financial investment using a sample of Chinese listed firms from 2009-2022. We provide evidence that common institutional ownership significantly reduces financial investment and exacerbates investment structure bias towards real investment. Mechanism tests show that common institutional ownership inhibits financial investment by strengthening financing capacity, promoting operational efficiency, and increasing innovative activities. The financialization inhibitory effect is more pronounced among single-segment firms, less competitive industries, and firms located in regions with higher levels of future-oriented culture. Furthermore, common institutional ownership mitigates the negative effect of financialization on the future corporate core performance. Overall, this study provides novel empirical evidence on the positive role of common institutional ownership in real economic development.
DOI: 10.5281/zenodo.17633162
title: M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties

description: Estimates of the uncertainty associated to the daily (day-of-the-year) temporal profiles of the main pollutant sources contributing to total CO2 anthropogenic emissions, namely: energy industry (power plants), road transport, residential/commercial combustion, aviation, shipping and manufacturing industry.

For each pollutant sector, the following CSV-files are provided:



CORSO_day_of_the_year_profiles_ensemble_<pollutant_sector>_v2.0.csv: Contains the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) per ensemble member (ens_mem_xxx) and country (ISO3). The number of ensemble members varies per country and sector, as a function of the availability of proxy data. The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.

CORSO_day_of_the_year_profiles_uncertainty_<pollutant_sector>_v2.0.csv: Contains the mean value (FD_mean), standard deviation (FD_sd) and lower and upper limit of the 95% confidence interval (FD_q2.5 and FD_q97.5) of the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) and country (ISO3). The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.


This data accompanies the CORSO project Milestone M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties, available also in this repository
DOI: 10.5281/zenodo.17633161
title: M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties

description: Estimates of the uncertainty associated to the daily (day-of-the-year) temporal profiles of the main pollutant sources contributing to total CO2 anthropogenic emissions, namely: energy industry (power plants), road transport, residential/commercial combustion, aviation, shipping and manufacturing industry.

For each pollutant sector, the following CSV-files are provided:



CORSO_day_of_the_year_profiles_ensemble_<pollutant_sector>_v2.0.csv: Contains the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) per ensemble member (ens_mem_xxx) and country (ISO3). The number of ensemble members varies per country and sector, as a function of the availability of proxy data. The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.

CORSO_day_of_the_year_profiles_uncertainty_<pollutant_sector>_v2.0.csv: Contains the mean value (FD_mean), standard deviation (FD_sd) and lower and upper limit of the 95% confidence interval (FD_q2.5 and FD_q97.5) of the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) and country (ISO3). The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.


This data accompanies the CORSO project Milestone M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties, available also in this repository
DOI: 10.5281/zenodo.17632983
title: M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties

description: Estimates of the uncertainty associated to the daily (day-of-the-year) temporal profiles of the main pollutant sources contributing to total CO2 anthropogenic emissions, namely: energy industry (power plants), road transport, residential/commercial combustion, aviation, shipping and manufacturing industry.

For each pollutant sector, the following CSV-files are provided:



CORSO_day_of_the_year_profiles_ensemble_<pollutant_sector>_v2.0.csv: Contains the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) per ensemble member (ens_mem_xxx) and country (ISO3). The number of ensemble members varies per country and sector, as a function of the availability of proxy data. The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.

CORSO_day_of_the_year_profiles_uncertainty_<pollutant_sector>_v2.0.csv: Contains the mean value (FD_mean), standard deviation (FD_sd) and lower and upper limit of the 95% confidence interval (FD_q2.5 and FD_q97.5) of the temporal weight factors per day-of-the-year (represented as 2021 yearly Julian calendar) and country (ISO3). The ISO3 codes ROW and EU27 refer to Rest of the World and the European Union, respectively.


This data accompanies the CORSO project Milestone M1 Collection of pollutant-dependent emission temporal profiles and associated uncertainties, available also in this repository
DOI: 10.3535/7a1-7tp-rk5
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qzw-94w-77s
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/w90-fpe-6kz
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/pbnw43s6kt
title: Sample dataset - Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning

description: A sample image dataset of field-based potato leaves in different geographical locations and at different times of the day. The images were manually annotated to create labelled patches covering blight disease and healthy portions of the leaf, and used for disease region segmentation over the leaf.
DOI: 10.17632/pbnw43s6kt.1
title: Sample dataset - Enhanced Field-Based Detection of Potato Blight in Complex Backgrounds Using Deep Learning

description: A sample image dataset of field-based potato leaves in different geographical locations and at different times of the day. The images were manually annotated to create labelled patches covering blight disease and healthy portions of the leaf, and used for disease region segmentation over the leaf.
DOI: 10.5281/zenodo.17616960
title: Script and Data for "Rheology of dense vibrated granular flows: non-monotonic response controlled by granular temperature"

description: in.LammpsScript -> LAMMPS script used for the numerical investigation

datFif1.txt, datFif2.txt, datFif3.txt -> data used to generate the 3 figures of the main text 

Data for the effective viscosity are the result of an average over three independent runs (initialized by changing the seed in the "fix pour" command).More information can be found in the #-commented lines within the uploaded files