cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.33085
title: A 0.05-degree resolution dataset of carbon-water fluxes for the drylands of northern China from 1900 to 2100 based on the optimized Biome-BGC model
title: A 0.05-degree resolution dataset of carbon-water fluxes for the drylands of northern China from 1900 to 2100 based on the optimized Biome-BGC model

description: This novel dataset, based on an optimized Biome-BGC model, simulates carbon and water fluxes in the arid ecosystem of Northern China. It encompasses historical data from 1990 to 2014 and incorporates projections under different scenarios (SSP126, SSP245, SSP370, SSP585) for the period 2015–2100. The dataset provides reliable long-term estimates of gross primary productivity (GPP), evapotranspiration (ET), and net primary productivity (NPP) for China's arid regions, including diurnal variation patterns. This facilitates research related to ecosystem functional traits, global carbon cycling, and hydrological processes.The dataset offers daily estimates of GPP, ET, and NPP across the arid areas of Northern China from 1990 to 2100, at a spatial resolution of 0.05° and covering the extent of 75°E–125°E, 32°N–53°N. Data are provided in NetCDF4 format. Units for GPP and NPP are expressed in grams of carbon per square meter per day (kg C/m²/day), while ET is given in millimeters per day (mm/day).
description: This novel dataset, based on an optimized Biome-BGC model, simulates carbon and water fluxes in the arid ecosystem of Northern China. It encompasses historical data from 1990 to 2014 and incorporates projections under different scenarios (SSP126, SSP245, SSP370, SSP585) for the period 2015–2100. The dataset provides reliable long-term estimates of gross primary productivity (GPP), evapotranspiration (ET), and net primary productivity (NPP) for China's arid regions, including diurnal variation patterns. This facilitates research related to ecosystem functional traits, global carbon cycling, and hydrological processes.The dataset offers daily estimates of GPP, ET, and NPP across the arid areas of Northern China from 1990 to 2100, at a spatial resolution of 0.05° and covering the extent of 75°E–125°E, 32°N–53°N. Data are provided in NetCDF4 format. Units for GPP and NPP are expressed in grams of carbon per square meter per day (kg C/m²/day), while ET is given in millimeters per day (mm/day).
DOI: 10.57760/sciencedb.34425
title: Airport Damage Dataset
title: Airport Damage Dataset

description: We have constructed the first open-source airport damage dataset, covering diverse disaster scenarios including natural calamities and armed conflicts. This dataset encompasses damage sustained by 102 representative airports across 27 countries worldwide over the past two decades due to warfare and natural disasters. Utilizing high-resolution wide-swath satellite images from Google Earth Pro, we performed pixel-level annotation for ten core facility categories, including aircraft, aprons, runways, terminals, and more.This dataset is used to reproduce the conclusions presented in the paper. In the initial release, we published sample data from the large-scale airport images used for training and testing in the paper. In subsequent releases, we will continuously update the dataset to enhance the contributions of this research. All samples are strictly limited to academic research purposes and are prohibited from commercial use.
description: We have constructed the first open-source airport damage dataset, covering diverse disaster scenarios including natural calamities and armed conflicts. This dataset encompasses damage sustained by 102 representative airports across 27 countries worldwide over the past two decades due to warfare and natural disasters. Utilizing high-resolution wide-swath satellite images from Google Earth Pro, we performed pixel-level annotation for ten core facility categories, including aircraft, aprons, runways, terminals, and more.This dataset is used to reproduce the conclusions presented in the paper. In the initial release, we published sample data from the large-scale airport images used for training and testing in the paper. In subsequent releases, we will continuously update the dataset to enhance the contributions of this research. All samples are strictly limited to academic research purposes and are prohibited from commercial use.
DOI: 10.17632/9fg82mgf8z
title: The essential role of heparan sulfate in the entry of PDCoV and other porcine coronaviruses

description: Figure 1. The effect of heparin sodium treatment on PDCoV infection. 
Figure 2. Heparin sodium treatment inhibits infection by multiple coronaviruses. 
Figure 3. The effect of mitoxantrone treatment on PDCoV infection.
Figure 4. The effects of genetic ablation of HS biosynthesis genes on PDCoV infection.
Figure 5. SLC35B2, EXT1 and NDST1 HS biosynthesis genes are required for efficient infection by PEDV, SADS-CoV and TGEV.
Figure 6. SLC35B2, EXT1 and NDST1 gene KO in LLC-PK1 cells reduces PDCoV attachment. 
Figure 7. Impact of the overexpression of HS biosynthesis genes on porcine coronavirus infection.
Figure S1. Heparin sodium treatment showed no inhibitory effect on VSV infection.
Figure S2. Mitoxantrone exhibits a stronger inhibitory effect on the viral entry stage than on post-entry stages.
Figure S3. Effect of mitoxantrone treatment on PDCoV dsRNA formation.
Figure S4. Mitoxantrone treatment inhibits infection by multiple coronaviruses.
Figure S5. Mitoxantrone treatment of cells had no significant effect on VSV infection.
Figure S6. Effect of genetic ablation of HS biosynthesis genes on HS expression.
Figure S7. The effect of EXT1 overexpression on the expression of SLC35B2 and NDST1.
Figure S8. Overexpression of HS biosynthesis genes had no significant effect on VSV infection.
DOI: 10.17632/9fg82mgf8z.1
title: The essential role of heparan sulfate in the entry of PDCoV and other porcine coronaviruses

description: Figure 1. The effect of heparin sodium treatment on PDCoV infection. 
Figure 2. Heparin sodium treatment inhibits infection by multiple coronaviruses. 
Figure 3. The effect of mitoxantrone treatment on PDCoV infection.
Figure 4. The effects of genetic ablation of HS biosynthesis genes on PDCoV infection.
Figure 5. SLC35B2, EXT1 and NDST1 HS biosynthesis genes are required for efficient infection by PEDV, SADS-CoV and TGEV.
Figure 6. SLC35B2, EXT1 and NDST1 gene KO in LLC-PK1 cells reduces PDCoV attachment. 
Figure 7. Impact of the overexpression of HS biosynthesis genes on porcine coronavirus infection.
Figure S1. Heparin sodium treatment showed no inhibitory effect on VSV infection.
Figure S2. Mitoxantrone exhibits a stronger inhibitory effect on the viral entry stage than on post-entry stages.
Figure S3. Effect of mitoxantrone treatment on PDCoV dsRNA formation.
Figure S4. Mitoxantrone treatment inhibits infection by multiple coronaviruses.
Figure S5. Mitoxantrone treatment of cells had no significant effect on VSV infection.
Figure S6. Effect of genetic ablation of HS biosynthesis genes on HS expression.
Figure S7. The effect of EXT1 overexpression on the expression of SLC35B2 and NDST1.
Figure S8. Overexpression of HS biosynthesis genes had no significant effect on VSV infection.
DOI: 10.17632/mpwv34fdgm
title: RDSHNet

description: Infrared imaging exhibits strong environmental robustness in low-visibility scenarios such as nighttime and rainy/foggy conditions; however, due to low signal-to-noise ratio, blurred boundaries, scarce textures, and pronounced background clutter, real-time vehicle detection still faces dual challenges: weakened structural details and unreliable high-level semantic representations. To achieve a better trade-off between accuracy and efficiency, this paper proposes RDSH-Net, a Real-time Detail-Semantic Hybrid Network for real-time infrared vehicle detection.
DOI: 10.15468/dl.hsv7mu
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus phillyreoides"
 ]
}

 The dataset includes 592 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069078-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mpwv34fdgm.1
title: RDSHNet

description: Infrared imaging exhibits strong environmental robustness in low-visibility scenarios such as nighttime and rainy/foggy conditions; however, due to low signal-to-noise ratio, blurred boundaries, scarce textures, and pronounced background clutter, real-time vehicle detection still faces dual challenges: weakened structural details and unreliable high-level semantic representations. To achieve a better trade-off between accuracy and efficiency, this paper proposes RDSH-Net, a Real-time Detail-Semantic Hybrid Network for real-time infrared vehicle detection.
DOI: 10.17632/j2b3wh4m6x
title: Data: Spatial Optimization of China’s Mountains–Rivers Projects with a Focus on Ecological Security

description: This data pertains to the article titled "Spatial Optimization of China’s Mountains–Rivers Projects with a Focus on Ecological Security." It provides a detailed collection supporting the research, including:
Figures and visualizations illustrating key analytical results and spatial patterns.
Study area profile detailing the geographical, ecological, and administrative characteristics of the research region.
Relative cost-ecology analysis data, which evaluates the trade-offs and relationships between ecological benefits (e.g., habitat quality, connectivity) and implementation costs.
Spatial optimization schemes for future Mountain-River Projects, presenting prioritized areas and spatial configurations designed to maximize ecological security under given constraints.
DOI: 10.17632/j2b3wh4m6x.1
title: Data: Spatial Optimization of China’s Mountains–Rivers Projects with a Focus on Ecological Security

description: This data pertains to the article titled "Spatial Optimization of China’s Mountains–Rivers Projects with a Focus on Ecological Security." It provides a detailed collection supporting the research, including:
Figures and visualizations illustrating key analytical results and spatial patterns.
Study area profile detailing the geographical, ecological, and administrative characteristics of the research region.
Relative cost-ecology analysis data, which evaluates the trade-offs and relationships between ecological benefits (e.g., habitat quality, connectivity) and implementation costs.
Spatial optimization schemes for future Mountain-River Projects, presenting prioritized areas and spatial configurations designed to maximize ecological security under given constraints.
DOI: 10.17632/69z2p8r6gg
title: Capital Requirements and Risk-Taking in Community Banks: The Role of Market Power

description: This replication package contains all the data, code, and instructions for the article "Capital Requirements and Risk-Taking in Community Banks: The Role of Market Power".The package is designed for use with Stata.
DOI: 10.17632/69z2p8r6gg.1
title: Capital Requirements and Risk-Taking in Community Banks: The Role of Market Power

description: This replication package contains all the data, code, and instructions for the article "Capital Requirements and Risk-Taking in Community Banks: The Role of Market Power".The package is designed for use with Stata.
DOI: 10.15468/dl.tfnexn
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paeonia emodi"
 ]
}

 The dataset includes 236 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069079-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.34525
title: EH40
title: EH40

description: Corrosion Rate and Stress Corrosion Sensitivity of EH40 Steel in Typical Polar Environments
description: Corrosion Rate and Stress Corrosion Sensitivity of EH40 Steel in Typical Polar Environments
DOI: 10.17632/nsyp8nnkdj.1
title: Climate Risk and Intra-Firm Wage Inequality

description: This replication package provides the data, code, and documentation necessary to reproduce the main empirical results of the paper “Climate Risk and Intra-Firm Wage Inequality.”
The paper examines how firm-level climate risk affects the internal distribution of compensation between executives and rank-and-file employees in Chinese A-share listed firms over the period 2006-2022. Using a text-based climate risk index constructed from annual reports, we document that higher climate risk is associated with a wider executive-employee pay gap, driven primarily by wage suppression rather than increases in executive pay. We further explore two mechanisms: (i) an executive leverage channel related to agency costs and managerial bargaining power, and (ii) a climate-induced labor substitution channel via automation and AI adoption.
The replication materials are organized to maximize transparency and facilitate independent verification of all statistical analyses reported in the main text and appendices.
The Data folder contains the fully matched firm-region-industry-year panel dataset used for all empirical analyses in the paper, as well as several auxiliary files that separately document the construction of core explanatory variables, dependent variables, control variables, mechanism variables, and heterogeneity-related variables.
Due to licensing and access restrictions, raw firm-level financial data and certain regional indicators from commercial databases cannot be redistributed. The replication package therefore provides the constructed variables used in the analysis, together with placeholder fields and detailed documentation that enable researchers with access to the original sources to reconstruct the full dataset.
DOI: 10.17632/4bx7pyjms8
title: The essential role of heparan sulfate in the entry of PDCoV and other porcine coronaviruses

description: Figure 1. The effect of heparin sodium treatment on PDCoV infection. 
Figure 2. Heparin sodium treatment inhibits infection by multiple coronaviruses. 
Figure 3. The effect of mitoxantrone treatment on PDCoV infection.
Figure 4. The effects of genetic ablation of HS biosynthesis genes on PDCoV infection. 
Figure 5. SLC35B2, EXT1 and NDST1 HS biosynthesis genes are required for efficient infection by PEDV, SADS-CoV and TGEV.
Figure 6. SLC35B2, EXT1 and NDST1 gene KO in LLC-PK1 cells reduces PDCoV attachment.
Figure 7. Impact of the overexpression of HS biosynthesis genes on porcine coronavirus infection.
Figure S1. Heparin sodium treatment showed no inhibitory effect on VSV infection.
Figure S2. Mitoxantrone exhibits a stronger inhibitory effect on the viral entry stage than on post-entry stages.
Figure S3. Effect of mitoxantrone treatment on PDCoV dsRNA formation. 
Figure S4. Mitoxantrone treatment inhibits infection by multiple coronaviruses. 
Figure S5. Mitoxantrone treatment of cells had no significant effect on VSV infection. 
Figure S6. Effect of genetic ablation of HS biosynthesis genes on HS expression. 
Figure S7. Overexpression of HS biosynthesis genes had no significant effect on VSV infection. 
Figure S8. The effect of EXT1 overexpression on the expression of SLC35B2 and NDST1.
DOI: 10.17632/4bx7pyjms8.2
title: The essential role of heparan sulfate in the entry of PDCoV and other porcine coronaviruses

description: Figure 1. The effect of heparin sodium treatment on PDCoV infection. 
Figure 2. Heparin sodium treatment inhibits infection by multiple coronaviruses. 
Figure 3. The effect of mitoxantrone treatment on PDCoV infection.
Figure 4. The effects of genetic ablation of HS biosynthesis genes on PDCoV infection. 
Figure 5. SLC35B2, EXT1 and NDST1 HS biosynthesis genes are required for efficient infection by PEDV, SADS-CoV and TGEV.
Figure 6. SLC35B2, EXT1 and NDST1 gene KO in LLC-PK1 cells reduces PDCoV attachment.
Figure 7. Impact of the overexpression of HS biosynthesis genes on porcine coronavirus infection.
Figure S1. Heparin sodium treatment showed no inhibitory effect on VSV infection.
Figure S2. Mitoxantrone exhibits a stronger inhibitory effect on the viral entry stage than on post-entry stages.
Figure S3. Effect of mitoxantrone treatment on PDCoV dsRNA formation. 
Figure S4. Mitoxantrone treatment inhibits infection by multiple coronaviruses. 
Figure S5. Mitoxantrone treatment of cells had no significant effect on VSV infection. 
Figure S6. Effect of genetic ablation of HS biosynthesis genes on HS expression. 
Figure S7. Overexpression of HS biosynthesis genes had no significant effect on VSV infection. 
Figure S8. The effect of EXT1 overexpression on the expression of SLC35B2 and NDST1.
DOI: 10.17632/2p4s3m2n7m
title: Data and code

description: database
DOI: 10.17632/2p4s3m2n7m.2
title: Data and code

description: database
DOI: 10.17632/2vvk82yvvg
title: Experimental and Modeled Outputs for C-(A)-S-H Porosity Characterization of Slag-Based Cement Pastes

description: This dataset contains the experimental and modeling data generated in a study investigating the pore structure and intra-hydrate porosity of slag-blended cement pastes. The data were produced in the context of a research work entitled “Contribution to C-(A)-S-H porosity characterization of slag based cement pastes through a reconstitution of porous structure based on a combination of experimental and modeling approaches: influence of slag substitution rate on their porosity, morphology and pores interconnection” , which is currently under review.

The dataset includes results for Ordinary Portland Cement (OPC) pastes with 0%, 30%, 50%, and 80% blast furnace slag (BFS) substitution at a constant water-to-binder ratio of 0.5. It comprises water-accessible porosity measurements, mercury intrusion porosimetry (MIP) data, long-term water vapor sorption–desorption isotherms (up to 360 days of curing), and outputs from hydration and pore network models used to estimate capillary and intra-hydrate porosity as well as reconstructed pore size distributions.

All numerical data used to generate the figures and tables of the associated study are provided to ensure transparency, reproducibility, and future reuse for comparative analyses or model validation in cementitious materials research.
DOI: 10.17632/2vvk82yvvg.1
title: Experimental and Modeled Outputs for C-(A)-S-H Porosity Characterization of Slag-Based Cement Pastes

description: This dataset contains the experimental and modeling data generated in a study investigating the pore structure and intra-hydrate porosity of slag-blended cement pastes. The data were produced in the context of a research work entitled “Contribution to C-(A)-S-H porosity characterization of slag based cement pastes through a reconstitution of porous structure based on a combination of experimental and modeling approaches: influence of slag substitution rate on their porosity, morphology and pores interconnection” , which is currently under review.

The dataset includes results for Ordinary Portland Cement (OPC) pastes with 0%, 30%, 50%, and 80% blast furnace slag (BFS) substitution at a constant water-to-binder ratio of 0.5. It comprises water-accessible porosity measurements, mercury intrusion porosimetry (MIP) data, long-term water vapor sorption–desorption isotherms (up to 360 days of curing), and outputs from hydration and pore network models used to estimate capillary and intra-hydrate porosity as well as reconstructed pore size distributions.

All numerical data used to generate the figures and tables of the associated study are provided to ensure transparency, reproducibility, and future reuse for comparative analyses or model validation in cementitious materials research.
DOI: 10.57760/sciencedb.34586
title: Mechanism of Influence of Charged Graphene Substrates on the Aggregation Behavior of Interfacial Nanobubbles: Molecular Dynamics Simulation
title: Mechanism of Influence of Charged Graphene Substrates on the Aggregation Behavior of Interfacial Nanobubbles: Molecular Dynamics Simulation

description: Model Parameters and Data of the Paper "Mechanism of Influence of Charged Graphene Substrates on the Aggregation Behavior of Interfacial Nanobubbles: Molecular Dynamics Simulation"
description: Model Parameters and Data of the Paper "Mechanism of Influence of Charged Graphene Substrates on the Aggregation Behavior of Interfacial Nanobubbles: Molecular Dynamics Simulation"
DOI: 10.15468/dl.ga8smr
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamogeton pusillus",
 "Year 1970-2000"
 ]
}

 The dataset includes 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18093471
title: Holistic Research Skill Development for achieving SDGs with Indian Knowledge Systems: Model Building to Publication and Funding
DOI: 10.5281/zenodo.18093472
title: Holistic Research Skill Development for achieving SDGs with Indian Knowledge Systems: Model Building to Publication and Funding
DOI: 10.57760/sciencedb.34565
title: Explainable Artificial Intelligence for Extreme Precipitation Simulation
title: Explainable Artificial Intelligence for Extreme Precipitation Simulation

description: Recent advances in artificial intelligence (AI) models have enabled effective simulation of extreme precipitation (EP), yet most models remain black-boxes with unclear contributions from individual meteorological variables. Here, we develop an Explainable Extreme Precipitation Simulation framework (XEP-Sim) to identify and quantify the key drivers of EP in the Asian monsoon region. Six meteorological variables are found to be essential for accurately reproducing EP, with integrated water vapor (IWV) playing a dominant role. EP intensity increases significantly under extreme conditions of these variables, reaching up to 2.8 times higher when all six are extreme compared to none. In addition, interactions between extreme IWV and other variables further amplify EP intensity through dynamic pathways. These findings suggest the dominant role of IWV and its interactions with other key variables, offering physically interpretable insights that can improve EP prediction and inform variable selection in data-driven climate models.
description: Recent advances in artificial intelligence (AI) models have enabled effective simulation of extreme precipitation (EP), yet most models remain black-boxes with unclear contributions from individual meteorological variables. Here, we develop an Explainable Extreme Precipitation Simulation framework (XEP-Sim) to identify and quantify the key drivers of EP in the Asian monsoon region. Six meteorological variables are found to be essential for accurately reproducing EP, with integrated water vapor (IWV) playing a dominant role. EP intensity increases significantly under extreme conditions of these variables, reaching up to 2.8 times higher when all six are extreme compared to none. In addition, interactions between extreme IWV and other variables further amplify EP intensity through dynamic pathways. These findings suggest the dominant role of IWV and its interactions with other key variables, offering physically interpretable insights that can improve EP prediction and inform variable selection in data-driven climate models.
DOI: 10.17632/58dcdznpnr
title: Scientific

description: The Impact of Traumatic Experiences on the Development of Post-Traumatic Stress Disorder in the Drenica Region-Kosovo
DOI: 10.17632/58dcdznpnr.1
title: Scientific

description: The Impact of Traumatic Experiences on the Development of Post-Traumatic Stress Disorder in the Drenica Region-Kosovo