cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/jbscs26dpn
title: Urban agglomeration policies and corporate carbon emissions

description: The initial dataset includes all A-share firms listed in China between 2000 and 2021. The sample construction involves the following steps: (1) excluding observations in abnormal trading states of ST and ST*; (2) removing financial companies due to significant differences in financial conditions and carbon emission characteristics compared to other industries; (3) eliminating observations with missing values for key variables to ensure data integrity and reliability. To construct the dataset, we collect data from multiple sources, such as the China Stock Market & Accounting Research Database (CSMAR), statistical yearbooks, and official government documents. To mitigate the impact of outliers, we winsorize all continuous variables at the 5th and 95th percentiles. The final dataset includes 25694 firm-year observations from 1836 companies.
DOI: 10.17632/jbscs26dpn.1
title: Urban agglomeration policies and corporate carbon emissions

description: The initial dataset includes all A-share firms listed in China between 2000 and 2021. The sample construction involves the following steps: (1) excluding observations in abnormal trading states of ST and ST*; (2) removing financial companies due to significant differences in financial conditions and carbon emission characteristics compared to other industries; (3) eliminating observations with missing values for key variables to ensure data integrity and reliability. To construct the dataset, we collect data from multiple sources, such as the China Stock Market & Accounting Research Database (CSMAR), statistical yearbooks, and official government documents. To mitigate the impact of outliers, we winsorize all continuous variables at the 5th and 95th percentiles. The final dataset includes 25694 firm-year observations from 1836 companies.
DOI: 10.17632/4nvgnyb4hg
title: Sunbird Acousitc Environmental Sensor Design Files

description: Design Files for Sunbird Acoustic Environmental Sensor
DOI: 10.17632/4nvgnyb4hg.2
title: Sunbird Acousitc Environmental Sensor Design Files

description: Design Files for Sunbird Acoustic Environmental Sensor
DOI: 10.17632/4h22ff2kgs
title: Global, regional, and national burdens of contact dermatitis: A longitudinal analysis from the Global Burden of Disease Study, 1990~2021

description: Supplemental materials for article "Global, regional, and national burdens of contact dermatitis: A longitudinal analysis from the Global Burden of Disease Study, 1990~2021".
The uploaded files contain the following documents:
1.Supplemental materials description
2.Supplementary Figures 
3.Supplementary Tables
DOI: 10.17632/4h22ff2kgs.3
title: Global, regional, and national burdens of contact dermatitis: A longitudinal analysis from the Global Burden of Disease Study, 1990~2021

description: Supplemental materials for article "Global, regional, and national burdens of contact dermatitis: A longitudinal analysis from the Global Burden of Disease Study, 1990~2021".
The uploaded files contain the following documents:
1.Supplemental materials description
2.Supplementary Figures 
3.Supplementary Tables
DOI: 10.17632/vkz7bnydrw
title: ESG-Social-Financial-India_Revised

description: This is a revised data of our study on Social indicators and social disclosures' impact on financial performance of firms. This data now included ESG score, E-SCORE, S-SCORE, G-SCORE along with CSR expenditure, Percentage employee turnover, percentage of women employees along with dependent financial performance variables ROA, ROE and EBIT (Earnings before interest rate and taxes. This data now includes firm size being measured by Total assets. The sample includes 22 companies and time period from 2015-2022 (8 years).
Source of the data: Bloomberg Terminal and ACE Analyzer
DOI: 10.17632/vkz7bnydrw.2
title: ESG-Social-Financial-India_Revised

description: This is a revised data of our study on Social indicators and social disclosures' impact on financial performance of firms. This data now included ESG score, E-SCORE, S-SCORE, G-SCORE along with CSR expenditure, Percentage employee turnover, percentage of women employees along with dependent financial performance variables ROA, ROE and EBIT (Earnings before interest rate and taxes. This data now includes firm size being measured by Total assets. The sample includes 22 companies and time period from 2015-2022 (8 years).
Source of the data: Bloomberg Terminal and ACE Analyzer
DOI: 10.17632/mwxk56t9kb
title: Screening South African Commercial Eucalyptus Provenances for Resistance to Quambalaria eucalypti

description: Listed of all supplementary resources associated with the Master of Science thesis of Brittney-Aidan Jamieson (Student# 19073021) submitted to the Faculty of Natural and Agricultural Sciences, University of Pretoria
DOI: 10.17632/mwxk56t9kb.2
title: Screening South African Commercial Eucalyptus Provenances for Resistance to Quambalaria eucalypti

description: Listed of all supplementary resources associated with the Master of Science thesis of Brittney-Aidan Jamieson (Student# 19073021) submitted to the Faculty of Natural and Agricultural Sciences, University of Pretoria
DOI: 10.17632/hjn9sy44b7
title: Quiet Expansion: The Impact of Local Government Bond Issuance on Financial Market Financing

description: Replication files for Haijian Zeng, Ling Lin, Zhengge Song, "Quiet Expansion: The Impact of Local Government Bond Issuance on Financial Market Financing,"
DOI: 10.17632/hjn9sy44b7.1
title: Quiet Expansion: The Impact of Local Government Bond Issuance on Financial Market Financing

description: Replication files for Haijian Zeng, Ling Lin, Zhengge Song, "Quiet Expansion: The Impact of Local Government Bond Issuance on Financial Market Financing,"
DOI: 10.17632/xr5s5vthfv
title: Data set of From Policy Mandates to Evidence-Informed Implementation Practice: How Vice Principals Translate Digital Transformation Policies in Vietnamese Primary Schools

description: Narrative interviews with vice principals recognised for successful technology initiatives identify three translation mechanisms: reframing mandates as pedagogical and organisational challenges; mobilising evidence to legitimise technology use; and aligning initiatives with school contexts and leadership trajectories
DOI: 10.17632/xr5s5vthfv.1
title: Data set of From Policy Mandates to Evidence-Informed Implementation Practice: How Vice Principals Translate Digital Transformation Policies in Vietnamese Primary Schools

description: Narrative interviews with vice principals recognised for successful technology initiatives identify three translation mechanisms: reframing mandates as pedagogical and organisational challenges; mobilising evidence to legitimise technology use; and aligning initiatives with school contexts and leadership trajectories
DOI: 10.17632/jxjhcxgb7x
title: Integrative species delimitation of Dicroglossid frogs with refinement of open-access genomic data reveals cryptic divergence within the Fejervarya conundrum across two ecozones

description: Amphibians with wide distributions are often subject to misidentification and inconsistent taxonomic labeling in open-access databases and published studies, leading to confusion over species boundaries. This dataset supports a multifaceted species delimitation framework applied to three dicroglossid frog genera: Fejervarya, Hoplobatrachus, and Quasipaa, distributed across the Indomalayan and Palearctic ecozones. The datasets includes (a) multilocus (4,044 bp), (b) concatenated supermatrix of genome-wide SNP data (~700,000 sites), and (c) 147 genome-wide loci from open-source GBS, RNA-seq, and WGS/WCS datasets, yielding 155 loci with 20 variants per split locus from 517 taxon entries and representing 14 recognised species across the two ecozones. 

These data were used to evaluate 18 competing topological hypotheses using Bayesian species delimitation, model selection, and iterative genomic refinement. Complementary data layers include ecological niche models (ENMs) and advertisement call recordings from key populations in East Asia. The dataset enables the identification of cryptic clades and provides ecological and acoustic evidence supporting taxonomic divergence within the Fejervarya kawamurai, F. multistriata, and F. limnocharis species complexes.

Environmental variables such as precipitation of the driest month, elevation, and diurnal temperature range were identified as key predictors shaping distribution patterns. Additionally, call analysis validated the distinctiveness of sympatric clades within the Eastern Yangtze River Basin. The genomic and ecological datasets provided here support the correction of mislabeled GenBank records and offer a reusable framework for future taxonomic revision, comparative phylogeography, and amphibian biodiversity research.
DOI: 10.17632/jxjhcxgb7x.2
title: Integrative species delimitation of Dicroglossid frogs with refinement of open-access genomic data reveals cryptic divergence within the Fejervarya conundrum across two ecozones

description: Amphibians with wide distributions are often subject to misidentification and inconsistent taxonomic labeling in open-access databases and published studies, leading to confusion over species boundaries. This dataset supports a multifaceted species delimitation framework applied to three dicroglossid frog genera: Fejervarya, Hoplobatrachus, and Quasipaa, distributed across the Indomalayan and Palearctic ecozones. The datasets includes (a) multilocus (4,044 bp), (b) concatenated supermatrix of genome-wide SNP data (~700,000 sites), and (c) 147 genome-wide loci from open-source GBS, RNA-seq, and WGS/WCS datasets, yielding 155 loci with 20 variants per split locus from 517 taxon entries and representing 14 recognised species across the two ecozones. 

These data were used to evaluate 18 competing topological hypotheses using Bayesian species delimitation, model selection, and iterative genomic refinement. Complementary data layers include ecological niche models (ENMs) and advertisement call recordings from key populations in East Asia. The dataset enables the identification of cryptic clades and provides ecological and acoustic evidence supporting taxonomic divergence within the Fejervarya kawamurai, F. multistriata, and F. limnocharis species complexes.

Environmental variables such as precipitation of the driest month, elevation, and diurnal temperature range were identified as key predictors shaping distribution patterns. Additionally, call analysis validated the distinctiveness of sympatric clades within the Eastern Yangtze River Basin. The genomic and ecological datasets provided here support the correction of mislabeled GenBank records and offer a reusable framework for future taxonomic revision, comparative phylogeography, and amphibian biodiversity research.
DOI: 10.17632/684rm4dtkh
title: MGF100 but not MGF300 family is a potential multigene-deleted target for ASFV attenuation and live attenuated vaccine development

description: African swine fever (ASF) is a highly contagious and lethal disease, but few therapeutic options are available for its treatment. Therefore, there is an urgent need for the development of safe and effective vaccines. In this regard, we described the differential effect of deletion of whole MGF100 and MGF300 families from genotype II highly virulent strains on African swine fever virus (ASFV) replication, virulence, and induction of protection. The resulting ASFV-Δ100 and ASFV-Δ300 mutants demonstrated reduced growth kinetics in vitro, with the former displaying aberrant virus morphogenesis. ASFV-Δ100 was efficiently attenuated, whereas ASFV-Δ300 retained its virulence. In the homologous lethal challenge, the two mutants achieved the same protection rate, with the former providing more protection against pathology in organs. Mechanistically, we found that ASFV-Δ100 was capable of inducing a robust innate immune response in vitro and a consistent P30 antibody response in vivo. In conclusion, the MGF100 family is a potential multigene-deleted target for ASFV live-attenuated vaccine development.
DOI: 10.17632/684rm4dtkh.1
title: MGF100 but not MGF300 family is a potential multigene-deleted target for ASFV attenuation and live attenuated vaccine development

description: African swine fever (ASF) is a highly contagious and lethal disease, but few therapeutic options are available for its treatment. Therefore, there is an urgent need for the development of safe and effective vaccines. In this regard, we described the differential effect of deletion of whole MGF100 and MGF300 families from genotype II highly virulent strains on African swine fever virus (ASFV) replication, virulence, and induction of protection. The resulting ASFV-Δ100 and ASFV-Δ300 mutants demonstrated reduced growth kinetics in vitro, with the former displaying aberrant virus morphogenesis. ASFV-Δ100 was efficiently attenuated, whereas ASFV-Δ300 retained its virulence. In the homologous lethal challenge, the two mutants achieved the same protection rate, with the former providing more protection against pathology in organs. Mechanistically, we found that ASFV-Δ100 was capable of inducing a robust innate immune response in vitro and a consistent P30 antibody response in vivo. In conclusion, the MGF100 family is a potential multigene-deleted target for ASFV live-attenuated vaccine development.
DOI: 10.17632/d7mrsx9hr9
title: Anurans in forests near cities in Peninsular Malaysia and Malaysian Borneo reflect the impact of habitat disturbance on species’ diversity and relative fitness

description: The datasets include species occurrence and biodiversity data of anuran records from two geographically distinct forests: Ayer Hitam Forest Reserve (AHFR) in Peninsular Malaysia and Universiti Putra Malaysia Bintulu Campus (UPMBC) in Malaysian Borneo.This datasets provides valuable insights into species distribution, habitat preferences, and the effects of human disturbance on anuran populations in both forest near cities.
1. A total of 466 individuals from 39 species (6 families) in AHFR and 95 individuals from 24 species (7 families) in UPMBC.
2. Long-term species records: Historical data (1975–1999) integrated with multi-year surveys (2015–2019) in AHFR and a four-year survey (2005–2009) in UPMBC.

3. Sampling and environmental data included zones in AHFR categorized by disturbance level: protected, minimally disturbed, controlled, moderately disturbed, and disturbed. The UPMBC sampling zones categorised by planted forest, Nirwana Reserve Forest and campus forest. 
4. methods of surveys for anurans within both forests using nocturnal line transect surveys along trails and streams and quadrat sampling for forest floor species inventory.

5. Morphometric dataset composed of measurements of snout-vent length (SVL), tibia length (TL), and body condition index (BCI) for various species.
6. Comparative analysis of body size and condition between disturbed and protected zones in AHFR.
7. Interspecific comparisons of morphometric traits, focusing on Limnonectes ibanorum populations in AHFR and UPMBC.
8. Statistical and analytical methods include:
(i) PCA (Principal Component Analysis) for morphological trait correlations.
(ii) Regression-based body condition index calculation due to missing weight data.
(iii) Diversity indices to assess species richness, evenness, and abundance across zones.
DOI: 10.17632/d7mrsx9hr9.3
title: Anurans in forests near cities in Peninsular Malaysia and Malaysian Borneo reflect the impact of habitat disturbance on species’ diversity and relative fitness

description: The datasets include species occurrence and biodiversity data of anuran records from two geographically distinct forests: Ayer Hitam Forest Reserve (AHFR) in Peninsular Malaysia and Universiti Putra Malaysia Bintulu Campus (UPMBC) in Malaysian Borneo.This datasets provides valuable insights into species distribution, habitat preferences, and the effects of human disturbance on anuran populations in both forest near cities.
1. A total of 466 individuals from 39 species (6 families) in AHFR and 95 individuals from 24 species (7 families) in UPMBC.
2. Long-term species records: Historical data (1975–1999) integrated with multi-year surveys (2015–2019) in AHFR and a four-year survey (2005–2009) in UPMBC.

3. Sampling and environmental data included zones in AHFR categorized by disturbance level: protected, minimally disturbed, controlled, moderately disturbed, and disturbed. The UPMBC sampling zones categorised by planted forest, Nirwana Reserve Forest and campus forest. 
4. methods of surveys for anurans within both forests using nocturnal line transect surveys along trails and streams and quadrat sampling for forest floor species inventory.

5. Morphometric dataset composed of measurements of snout-vent length (SVL), tibia length (TL), and body condition index (BCI) for various species.
6. Comparative analysis of body size and condition between disturbed and protected zones in AHFR.
7. Interspecific comparisons of morphometric traits, focusing on Limnonectes ibanorum populations in AHFR and UPMBC.
8. Statistical and analytical methods include:
(i) PCA (Principal Component Analysis) for morphological trait correlations.
(ii) Regression-based body condition index calculation due to missing weight data.
(iii) Diversity indices to assess species richness, evenness, and abundance across zones.
DOI: 10.17632/6spytydbry
title: CPi-PS (Common-Path interferometry with Phase-Shifting)

description: All selected domains feature publicly accessible datasets:
Seismic: USGS Earthquake Catalog (https://earthquake.usgs.gov/), IRIS Seismic Data Portal
Weather: NOAA Global Historical Climatology Network (https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily)
Financial: Alpha Vantage API, Yahoo Finance (yfinance library), FNSPID dataset
Cryptocurrency: CryptoDataDownload, exchange APIs (Binance, Coinbase)

This research tests whether physics-informed principles derived from Sagnac common-path interferometry can be effectively transposed to time series noise filtering. The hypothesis posits that analyzing phase coherence in the frequency domain will outperform traditional amplitude-based denoising methods (Extended Kalman Filter, Wavelet Transform, Exponential Smoothing). The core premise is that genuine signal components exhibit consistent phase relationships across frequency bands, while noise components display random phase distributions—enabling more precise discrimination between signal and noise.

Data Description
Dataset Structure: This dataset contains raw time series data and filtered outputs from a comprehensive validation study of the CPi-PS (Common-Path Interferometry with Phase-Shifting) framework. The study compares four denoising methods across 16 real-world time series spanning five application domains, yielding 64 experimental conditions.

Data Sources:

Commodity data: Daily prices for Copper, Crude Oil, Gasoline, Gold, Natural Gas, and Silver (6 variables, 18,449 daily observations)
Weather data: Daily temperature and precipitation records (2 variables, 2,189 daily observations)
Seismic data: Earthquake magnitude measurements (1 variable, 9,415 event-based observations)
Cryptocurrency data: Bitcoin and Ethereum daily closing prices (2 variables, 4,435 daily observations)
Financial index data: Dow Jones, S&P 500, JPM, MSFT, and TSLA closing prices (5 variables, 7,619 trading day observations)

Data Interpretation Guidelines
The results validate that transposing interferometric phase coherence principles to frequency domain analysis effectively discriminates signal from noise. The method is particularly effective for time series with underlying deterministic structure (financial data) and less effective for intrinsically stochastic phenomena (seismic events, precipitation). Users should select methods based on domain: CPi-PS is recommended for most applications; WT serves as a strong alternative; EKF suits known linear state-space models; ExpSmooth is not recommended for preprocessing due to phase distortion.

Data Usage: Raw data can benchmark new denoising algorithms; filtered outputs serve as preprocessed ML inputs; metrics provide baseline comparisons for method development.
DOI: 10.17632/6spytydbry.1
title: CPi-PS (Common-Path interferometry with Phase-Shifting)

description: All selected domains feature publicly accessible datasets:
Seismic: USGS Earthquake Catalog (https://earthquake.usgs.gov/), IRIS Seismic Data Portal
Weather: NOAA Global Historical Climatology Network (https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily)
Financial: Alpha Vantage API, Yahoo Finance (yfinance library), FNSPID dataset
Cryptocurrency: CryptoDataDownload, exchange APIs (Binance, Coinbase)

This research tests whether physics-informed principles derived from Sagnac common-path interferometry can be effectively transposed to time series noise filtering. The hypothesis posits that analyzing phase coherence in the frequency domain will outperform traditional amplitude-based denoising methods (Extended Kalman Filter, Wavelet Transform, Exponential Smoothing). The core premise is that genuine signal components exhibit consistent phase relationships across frequency bands, while noise components display random phase distributions—enabling more precise discrimination between signal and noise.

Data Description
Dataset Structure: This dataset contains raw time series data and filtered outputs from a comprehensive validation study of the CPi-PS (Common-Path Interferometry with Phase-Shifting) framework. The study compares four denoising methods across 16 real-world time series spanning five application domains, yielding 64 experimental conditions.

Data Sources:

Commodity data: Daily prices for Copper, Crude Oil, Gasoline, Gold, Natural Gas, and Silver (6 variables, 18,449 daily observations)
Weather data: Daily temperature and precipitation records (2 variables, 2,189 daily observations)
Seismic data: Earthquake magnitude measurements (1 variable, 9,415 event-based observations)
Cryptocurrency data: Bitcoin and Ethereum daily closing prices (2 variables, 4,435 daily observations)
Financial index data: Dow Jones, S&P 500, JPM, MSFT, and TSLA closing prices (5 variables, 7,619 trading day observations)

Data Interpretation Guidelines
The results validate that transposing interferometric phase coherence principles to frequency domain analysis effectively discriminates signal from noise. The method is particularly effective for time series with underlying deterministic structure (financial data) and less effective for intrinsically stochastic phenomena (seismic events, precipitation). Users should select methods based on domain: CPi-PS is recommended for most applications; WT serves as a strong alternative; EKF suits known linear state-space models; ExpSmooth is not recommended for preprocessing due to phase distortion.

Data Usage: Raw data can benchmark new denoising algorithms; filtered outputs serve as preprocessed ML inputs; metrics provide baseline comparisons for method development.