cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.32531
title: The Impact of Corporate Financialization on ESG Greenwashing: Evidence from China’s A-Share Listed Firms
title: The Impact of Corporate Financialization on ESG Greenwashing: Evidence from China’s A-Share Listed Firms

description: This dataset is an annual panel of companies, covering corporate finance, governance, and key research variables of Chinese listed companies, with a time span from 2015 to 2023. The data contains hundreds of entries, with each row representing unique observational data for a specific company in a given year. The main focus of the dataset is on corporate environmental, social, and governance (ESG) practices and financial behavior, with a particular emphasis on corporate ESG "greenwashing" (ESG_pl) indicators. It is accompanied by core explanatory and control variables, including the degree of financialization of the enterprise (Fin1, Fin2), financing constraints (SA), and internal control quality (IC). Standard company level characteristics are incorporated into control measures, such as company size (scale), leverage ratio (Lev), return on assets (ROA), cash flow (cash flow), sales growth (growth), fixed asset ratio (FAR), board size (board of directors), and independent director ratio (Indep). These data appear to be sourced from publicly available financial statements and company disclosure documents, processed to construct analytical variables. There are some missing values, especially in lagged variables, which is common in panel data structures. This dataset is stored in a widely accessible. xls (Excel) format, and its structural design supports empirical research in the fields of corporate governance, ESG, and corporate finance. 
description: This dataset is an annual panel of companies, covering corporate finance, governance, and key research variables of Chinese listed companies, with a time span from 2015 to 2023. The data contains hundreds of entries, with each row representing unique observational data for a specific company in a given year. The main focus of the dataset is on corporate environmental, social, and governance (ESG) practices and financial behavior, with a particular emphasis on corporate ESG "greenwashing" (ESG_pl) indicators. It is accompanied by core explanatory and control variables, including the degree of financialization of the enterprise (Fin1, Fin2), financing constraints (SA), and internal control quality (IC). Standard company level characteristics are incorporated into control measures, such as company size (scale), leverage ratio (Lev), return on assets (ROA), cash flow (cash flow), sales growth (growth), fixed asset ratio (FAR), board size (board of directors), and independent director ratio (Indep). These data appear to be sourced from publicly available financial statements and company disclosure documents, processed to construct analytical variables. There are some missing values, especially in lagged variables, which is common in panel data structures. This dataset is stored in a widely accessible. xls (Excel) format, and its structural design supports empirical research in the fields of corporate governance, ESG, and corporate finance.
DOI: 10.57760/sciencedb.j00124.00311
title: Data on methanolysis of polycarbonate and recovery and separation of bisphenol A
title: Data on methanolysis of polycarbonate and recovery and separation of bisphenol A

description: Polycarbonate particles with a molecular weight of 45000 were used in the experiment. The depolymerization reaction was carried out in a high-pressure reactor at 160 °C and nitrogen atmosphere for 8 hours. The depolymerization products were qualitatively and quantitatively analyzed by gas chromatography-mass spectrometry ( GC-MS ).  The peak area of the depolymerization product was averaged three times, and the quality of the product was obtained by bringing in the standard curve of each product, and the Origin drawing was used.  The recovered BPA was detected by GC-MC and NMR instruments, and its purity was detected by comparison with commercial BPA.
description: Polycarbonate particles with a molecular weight of 45000 were used in the experiment. The depolymerization reaction was carried out in a high-pressure reactor at 160 °C and nitrogen atmosphere for 8 hours. The depolymerization products were qualitatively and quantitatively analyzed by gas chromatography-mass spectrometry ( GC-MS ).  The peak area of the depolymerization product was averaged three times, and the quality of the product was obtained by bringing in the standard curve of each product, and the Origin drawing was used.  The recovered BPA was detected by GC-MC and NMR instruments, and its purity was detected by comparison with commercial BPA.
DOI: 10.57760/sciencedb.32500
title: The Positive Pathway Linking Perceived Social Support, Prosocial Behavior, and Adolescents’ Subjective Well-Being
title: 感知社会支持和亲社会行为影响青少年主观幸福感的积极路径

description: Adolescents’ subjective well-being is shaped by both environmental factors and their behaviors, suggesting a potential positive pathway from the environment through individual behavior to adolescents’ well-being. Guided by self-determination theory, this study employed a longitudinal design and a daily diary approach across two studies to examine the mechanisms linking perceived social support, prosocial behavior, and adolescents’ subjective well-being.
description: Adolescents’ subjective well-being is shaped by both environmental factors and their behaviors, suggesting a potential positive pathway from the environment through individual behavior to adolescents’ well-being. Guided by self-determination theory, this study employed a longitudinal design and a daily diary approach across two studies to examine the mechanisms linking perceived social support, prosocial behavior, and adolescents’ subjective well-being.
DOI: 10.57760/sciencedb.29165
title: Neuromorphic Vision-Based Dataset for Soil Characterization and Slip Estimation in Rover Applications
title: Neuromorphic Vision-Based Dataset for Soil Characterization and Slip Estimation in Rover Applications

description: Advancements in the field of robotics boosts planetary and extraterrestrial explorations, yet rover mobility remains a challenge in diverse terrain conditions with high chances of the rover getting stuck or suffering wheel slip causing deviations from the planned path of the rover. Most rovers rely on frame-based cameras which exhibit considerable limitations like high power consumption, extensive storage demands and degraded visual clarity under low light conditions. To address these limitations, we introduce a novel rover perception approach using an neuromorphic camera which offers microsecond latency, high temporal resolution, and low power consumption. A neuromorphic vision-based dataset is presented that will significantly automate two fundamental navigation tasks such as soil characterization and slip estimation. The dataset comprises 270 experiments collected over five different speeds, two lighting conditions, three soil types and two failure scenarios, capturing wheel-terrain interactions. The dataset is a benchmark for event-based perception and facilitates reproducibility through custom models that can be trained and validated on the open-source data for real-time soil characterization and slip estimation.
description: Advancements in the field of robotics boosts planetary and extraterrestrial explorations, yet rover mobility remains a challenge in diverse terrain conditions with high chances of the rover getting stuck or suffering wheel slip causing deviations from the planned path of the rover. Most rovers rely on frame-based cameras which exhibit considerable limitations like high power consumption, extensive storage demands and degraded visual clarity under low light conditions. To address these limitations, we introduce a novel rover perception approach using an neuromorphic camera which offers microsecond latency, high temporal resolution, and low power consumption. A neuromorphic vision-based dataset is presented that will significantly automate two fundamental navigation tasks such as soil characterization and slip estimation. The dataset comprises 270 experiments collected over five different speeds, two lighting conditions, three soil types and two failure scenarios, capturing wheel-terrain interactions. The dataset is a benchmark for event-based perception and facilitates reproducibility through custom models that can be trained and validated on the open-source data for real-time soil characterization and slip estimation.
DOI: 10.15468/dl.gchqmn
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON ((-3.71798 37.61142, -3.717992 37.6118, -3.718029 37.61217, -3.718091 37.61254, -3.718176 37.6129, -3.718286 37.61327, -3.71842 37.61362, -3.718577 37.61397, -3.718757 37.61432, -3.718959 37.61465, -3.719184 37.61498, -3.719429 37.6153, -3.719696 37.61561, -3.719982 37.6159, -3.720287 37.61619, -3.720611 37.61646, -3.720952 37.61671, -3.72131 37.61695, -3.721683 37.61718, -3.722071 37.61739, -3.722472 37.61759, -3.722885 37.61776, -3.723309 37.61793, -3.723744 37.61807, -3.724187 37.61819, -3.724638 37.6183, -3.725095 37.61838, -3.725558 37.61845, -3.726024 37.6185, -3.726493 37.61853, -3.726963 37.61854, -3.727433 37.61853, -3.727902 37.6185, -3.728368 37.61845, -3.728831 37.61838, -3.729288 37.6183, -3.729739 37.61819, -3.730182 37.61807, -3.730617 37.61793, -3.731041 37.61776, -3.731455 37.61759, -3.731856 37.61739, -3.732243 37.61718, -3.732616 37.61695, -3.732974 37.61671, -3.733315 37.61646, -3.733639 37.61619, -3.733944 37.6159, -3.734231 37.61561, -3.734497 37.6153, -3.734743 37.61498, -3.734967 37.61465, -3.73517 37.61432, -3.73535 37.61397, -3.735507 37.61362, -3.73564 37.61327, -3.73575 37.6129, -3.735836 37.61254, -3.735897 37.61217, -3.735934 37.6118, -3.735946 37.61142, -3.735934 37.61105, -3.735897 37.61068, -3.735836 37.61031, -3.73575 37.60994, -3.73564 37.60958, -3.735507 37.60923, -3.73535 37.60887, -3.73517 37.60853, -3.734967 37.60819, -3.734743 37.60787, -3.734497 37.60755, -3.734231 37.60724, -3.733944 37.60695, -3.733639 37.60666, -3.733315 37.60639, -3.732974 37.60614, -3.732616 37.60589, -3.732243 37.60567, -3.731856 37.60546, -3.731455 37.60526, -3.731041 37.60508, -3.730617 37.60492, -3.730182 37.60478, -3.729739 37.60466, -3.729288 37.60455, -3.728831 37.60446, -3.728368 37.6044, -3.727902 37.60435, -3.727433 37.60432, -3.726963 37.60431, -3.726493 37.60432, -3.726024 37.60435, -3.725558 37.6044, -3.725095 37.60446, -3.724638 37.60455, -3.724187 37.60466, -3.723744 37.60478, -3.723309 37.60492, -3.722885 37.60508, -3.722472 37.60526, -3.722071 37.60546, -3.721683 37.60567, -3.72131 37.60589, -3.720952 37.60614, -3.720611 37.60639, -3.720287 37.60666, -3.719982 37.60695, -3.719696 37.60724, -3.719429 37.60755, -3.719184 37.60787, -3.718959 37.60819, -3.718757 37.60853, -3.718577 37.60887, -3.71842 37.60923, -3.718286 37.60958, -3.718176 37.60994, -3.718091 37.61031, -3.718029 37.61068, -3.717992 37.61105, -3.71798 37.61142))"
 ]
}

 The dataset includes 321 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013673-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.27915
title: Dataset for Second Harmonic Generation (SHG) Calculations in AB-stacked Bilayer h-BN, GaSe, and MoS₂
title: AB堆垛的双层h-BN，GaSe，MoS₂二次谐波计算的数据集

description: 1. SHG Computational Workflow:The electronic wavefunctions of the material are calculated using VASP.The localized Wannier functions are obtained and a tight-binding Hamiltonian is constructed using WANNIER90.The SHG susceptibility tensor is calculated using HOPTB.Polarization-resolved SHG plots and heatmaps of interference intensity versus angle parameters and frequency are generated using Python scripts.2. Dataset File Contents:Parent directories are named after their respective materials.These directories contain:relax, scf, band: Raw data from VASP calculations (relaxation, self-consistent field, band structure).wannier: Raw data from WANNIER90 calculations.SHG: Raw data from HOPTB calculations (SHG susceptibility).LPL_pdf: Raw data generated by the Python scripts for linear polarization analysis.
description: 1. SHG Computational Workflow:The electronic wavefunctions of the material are calculated using VASP.The localized Wannier functions are obtained and a tight-binding Hamiltonian is constructed using WANNIER90.The SHG susceptibility tensor is calculated using HOPTB.Polarization-resolved SHG plots and heatmaps of interference intensity versus angle parameters and frequency are generated using Python scripts.2. Dataset File Contents:Parent directories are named after their respective materials.These directories contain:relax, scf, band: Raw data from VASP calculations (relaxation, self-consistent field, band structure).wannier: Raw data from WANNIER90 calculations.SHG: Raw data from HOPTB calculations (SHG susceptibility).LPL_pdf: Raw data generated by the Python scripts for linear polarization analysis.
DOI: 10.57760/sciencedb.32292
title: Dataset of a phase Ib clinical study: rapid regression of high-risk carotid hemorrhagic plaques with sonodynamic therapy
title: Dataset of a phase Ib clinical study: rapid regression of high-risk carotid hemorrhagic plaques with sonodynamic therapy

description: Carotid plaques with intraplaque hemorrhage (IPH) accelerate plaque progression and increase the risk of cerebrovascular events; however, safe and effective therapeutic strategies remain unavailable. We report the results of macrophage-targeted sonodynamic therapy (SDT) for treating patients with high-risk carotid plaques. Twelve participants with 24 plaques (15 with IPH and 9 without IPH) underwent a single SDT. Follow-up assessments were conducted at 1, 3, 6, and 9 months. The safety endpoints demonstrated no occurrence of serious adverse events. The primary endpoint demonstrated a significant decrease in maximum wall thickness (MaxWT) at 1 month post-SDT in all plaques, particularly IPH plaques. The secondary endpoint revealed a decreasing trend in IPH volume at 3 months post-SDT. The exploratory analysis revealed that SDT may suppress neovascularization, reduce inflammation, and promote dead cell clearance. Collectively, SDT safely and effectively promotes the rapid regression of carotid plaques with IPH. The study is registered on ClinicalTrials.gov (NCT03871725).
description: Carotid plaques with intraplaque hemorrhage (IPH) accelerate plaque progression and increase the risk of cerebrovascular events; however, safe and effective therapeutic strategies remain unavailable. We report the results of macrophage-targeted sonodynamic therapy (SDT) for treating patients with high-risk carotid plaques. Twelve participants with 24 plaques (15 with IPH and 9 without IPH) underwent a single SDT. Follow-up assessments were conducted at 1, 3, 6, and 9 months. The safety endpoints demonstrated no occurrence of serious adverse events. The primary endpoint demonstrated a significant decrease in maximum wall thickness (MaxWT) at 1 month post-SDT in all plaques, particularly IPH plaques. The secondary endpoint revealed a decreasing trend in IPH volume at 3 months post-SDT. The exploratory analysis revealed that SDT may suppress neovascularization, reduce inflammation, and promote dead cell clearance. Collectively, SDT safely and effectively promotes the rapid regression of carotid plaques with IPH. The study is registered on ClinicalTrials.gov (NCT03871725).
DOI: 10.5281/zenodo.13335998
title: Thrush et al._Surface Wetting Is a Key Determinant of α-Synuclein Condensate Maturation_Source Data

description: Provided here are the source data files corresponding to the article; Surface Wetting Is a Key Determinant of α-Synuclein Condensate Maturation. All source data corresponding to any statistical analysis and all full-length, unprocessed electrophoresis gel and dot-blot images are provided in a single Excel document. Images used for quantitative analysis are provided in ND2 file format. ND2 files can be opened using NIS-Elements Viewer or other free software tools such as Image-J.
DOI: 10.5281/zenodo.13335999
title: Thrush et al._Surface Wetting Is a Key Determinant of α-Synuclein Condensate Maturation_Source Data

description: Provided here are the source data files corresponding to the article; Surface Wetting Is a Key Determinant of α-Synuclein Condensate Maturation. All source data corresponding to any statistical analysis and all full-length, unprocessed electrophoresis gel and dot-blot images are provided in a single Excel document. Images used for quantitative analysis are provided in ND2 file format. ND2 files can be opened using NIS-Elements Viewer or other free software tools such as Image-J.
DOI: 10.15468/dl.q7ezjw
title: Occurrence Download

description: A dataset containing 35103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer pictum, Betula platyphylla, Juglans mandshurica, Populus davidiana, Fraxinus mandshurica, Quercus mongolica, Ulmus davidiana, Castanopsis fissa, Machilus chinensis, Schima superba, Triadica cochinchinensis, Cryptocarya chinensis, Gironniera subaequalis, Psychotria asiatica, Pterospermum heterophyllum)",
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35103 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013672-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2mubc
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anacampseros australiana"
 ]
}

 The dataset includes 213 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013674-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15744490
title: PPGIS survey: Me and Nature in My Everyday Life

description: The data were collected as a part of the Multispecies Transitions of Cities and Regions (MUST) project. The project is funded by the Strategic Research Council (SRC) established within the Research Council of Finland. The survey was conducted in three different cities in Finland: Turku, Tampere, and Lappeenranta. The data were collected between 30.9. and 20.11.2024. 

The survey studied residents´ nature experiences in Finland, and the survey included the following sections: 1. Background information, 2. Every day and nature places 3. Choice task related to urban nature management. 

The dataset includes both tabular (Excel) and spatial (geodatabase) data. The spatial data set contains important nature places in each city (Turku, Tampere, and Lappeenranta). The coordinate system of the spatial dataset is WGS1984.
DOI: 10.5281/zenodo.15744489
title: PPGIS survey: Me and Nature in My Everyday Life

description: The data were collected as a part of the Multispecies Transitions of Cities and Regions (MUST) project. The project is funded by the Strategic Research Council (SRC) established within the Research Council of Finland. The survey was conducted in three different cities in Finland: Turku, Tampere, and Lappeenranta. The data were collected between 30.9. and 20.11.2024. 

The survey studied residents´ nature experiences in Finland, and the survey included the following sections: 1. Background information, 2. Every day and nature places 3. Choice task related to urban nature management. 

The dataset includes both tabular (Excel) and spatial (geodatabase) data. The spatial data set contains important nature places in each city (Turku, Tampere, and Lappeenranta). The coordinate system of the spatial dataset is WGS1984.
DOI: 10.15468/dl.bcbr37
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Megophrys zhangi"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013675-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tga42k
title: Occurrence Download

description: A dataset containing 1154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dentex tumifrons"
 ]
}

 The dataset includes 1154 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013676-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n49s38
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chimonobambusa szechuanensis"
 ]
}

 The dataset includes 60 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013678-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.