cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vwmj3yrt37
title: Greenwashing and Customer ESG Performance: The Moderating Effects of Corporate Transparency

description: The replication dataset (data.dta) contains a unbalanced panel of Chinese listed firms from 2009 to 2023. It includes variables on firms’ greenwashing behavior, customer ESG performance, financial characteristic, and DID treatment variables. All variables are constructed from publicly available sources, and the dataset supports the empirical analyses reported in “Greenwashing and Customer ESG Performance: The Moderating Effects of Corporate Transparency.”
DOI: 10.17632/vwmj3yrt37.1
title: Greenwashing and Customer ESG Performance: The Moderating Effects of Corporate Transparency

description: The replication dataset (data.dta) contains a unbalanced panel of Chinese listed firms from 2009 to 2023. It includes variables on firms’ greenwashing behavior, customer ESG performance, financial characteristic, and DID treatment variables. All variables are constructed from publicly available sources, and the dataset supports the empirical analyses reported in “Greenwashing and Customer ESG Performance: The Moderating Effects of Corporate Transparency.”
DOI: 10.15468/dl.4jvj8y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Austrolebias nigripinnis",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031883-251025141854904/datasets/export for details.
DOI: 10.17632/8vvxfw2vzx
title: The influence of family of origin on college students' life values: the mediating role of self-esteem

description: Research Hypothesis
Core Hypothesis: The family of origin (family relationships, family environment) has a positive impact on college students' life values, with self-esteem playing a partial mediating role. Theoretical Basis: Based on family systems theory (Song & Song, 2022), families shape individuals' values and levels of self-esteem through the process of socialization.
Data Content and Collection Methods
Sample: 853 college students (299 from rural areas, 554 from urban areas; 486 only children, 367 non-only children). Measurement Tools:
Family Variables: Family Relationship and Family Environment Scales (Likert scoring, presented as mean ± standard deviation);
Life Values: Including dimensions such as "attitude toward life" and "value standards";
Self-Esteem Level: Used as a mediating variable.
Analytical Methods: Independent samples t-tests (for differences between rural/urban and only/non-only children), mediation effect analysis.
Key Findings
Urban-Rural Differences:
Rural students scored significantly higher than urban students in family relationships (23.77±7.70 vs. 17.87±8.03) and exhibited higher value scores (e.g., "value standards": 14.44 vs. 11.08).
Only-Child Differences:
Non-only children showed higher ratings in family environment (23.86±7.64) and family relationships (23.17±7.66), along with more stable values.
Mediating Effect: Self-esteem partially explained the pathway through which family influences values.
Data Interpretation and Application
Mechanism: Family cohesion (such as in rural and non-only-child families) enhances self-esteem through emotional support, thereby promoting positive values . Limitations: Cross-sectional data cannot establish causality; confounding variables such as economic status were not controlled. Practical Implications: For urban only-child populations, targeted family interventions and self-esteem development are needed (e.g., referring to Ouyang et al., 2024's social support strategies).
Summary: The study confirms the pathway of family → self-esteem → values, revealing the moderating effects of family structure (urban/rural, only child status). Data support the long-term influence of family environment on psychological development, though further validation via longitudinal studies is required.
DOI: 10.15468/dl.3w6mxa
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "Geometry POLYGON((-94.12289 14.53024,-90.10413 14.53024,-90.10413 18.59476,-94.12289 18.59476,-94.12289 14.53024))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Astrocaryum mexicanum"
 ]
}

 The dataset includes 135 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031886-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8vvxfw2vzx.1
title: The influence of family of origin on college students' life values: the mediating role of self-esteem

description: Research Hypothesis
Core Hypothesis: The family of origin (family relationships, family environment) has a positive impact on college students' life values, with self-esteem playing a partial mediating role. Theoretical Basis: Based on family systems theory (Song & Song, 2022), families shape individuals' values and levels of self-esteem through the process of socialization.
Data Content and Collection Methods
Sample: 853 college students (299 from rural areas, 554 from urban areas; 486 only children, 367 non-only children). Measurement Tools:
Family Variables: Family Relationship and Family Environment Scales (Likert scoring, presented as mean ± standard deviation);
Life Values: Including dimensions such as "attitude toward life" and "value standards";
Self-Esteem Level: Used as a mediating variable.
Analytical Methods: Independent samples t-tests (for differences between rural/urban and only/non-only children), mediation effect analysis.
Key Findings
Urban-Rural Differences:
Rural students scored significantly higher than urban students in family relationships (23.77±7.70 vs. 17.87±8.03) and exhibited higher value scores (e.g., "value standards": 14.44 vs. 11.08).
Only-Child Differences:
Non-only children showed higher ratings in family environment (23.86±7.64) and family relationships (23.17±7.66), along with more stable values.
Mediating Effect: Self-esteem partially explained the pathway through which family influences values.
Data Interpretation and Application
Mechanism: Family cohesion (such as in rural and non-only-child families) enhances self-esteem through emotional support, thereby promoting positive values . Limitations: Cross-sectional data cannot establish causality; confounding variables such as economic status were not controlled. Practical Implications: For urban only-child populations, targeted family interventions and self-esteem development are needed (e.g., referring to Ouyang et al., 2024's social support strategies).
Summary: The study confirms the pathway of family → self-esteem → values, revealing the moderating effects of family structure (urban/rural, only child status). Data support the long-term influence of family environment on psychological development, though further validation via longitudinal studies is required.
DOI: 10.17632/nyjtbbx88d.1
title: Industrial Policy and Urban Children’s Human Capital Accumulation: Evidence from China’s “Third Front Construction”

description: This replication package provides all the publicly available data, code, and instructions required to reproduce the main empirical results of the above-mentioned research paper. The package is designed to facilitate transparency and enable independent verification of all statistical findings reported in the study.
DOI: 10.17632/gy2gx92hvd
title: Source-Specific PM2.5 Exposure and Associated Health Risks during Beijing Winter

description: Basic data for pape "Source-Specific PM2.5 Exposure and Associated Health Risks during Beijing Winter"
DOI: 10.17632/gy2gx92hvd.1
title: Source-Specific PM2.5 Exposure and Associated Health Risks during Beijing Winter

description: Basic data for pape "Source-Specific PM2.5 Exposure and Associated Health Risks during Beijing Winter"
DOI: 10.5281/zenodo.17589705
title: GNSS-R data at the Onsala Space Observatory (June 2024–July 2025)

description: This dataset contains 5-second GNSS observations and supporting measurements collected at the Onsala Space Observatory, Sweden, from June 2024 to July 2025. The data are provided to support GNSS-IR and coastal sea-level studies.

The collection includes four components:





ONRA 5-second RINEX 3 GNSS data from the horizon-pointing, choke-ring antenna, optimized for GNSS-IR. 




ONRB 5-second RINEX 3 GNSS data from the zenith-pointing, choke-ring antenna for precise positioning.




OSOU 5-second RINEX 3 GNSS data from the long-running GNSS-IR installation at the Onsala Space Observatory.




Tide gauge and weather data, including 1-minute tide-gauge sea level and 1-minute meteorological data.
DOI: 10.5281/zenodo.17246322
title: RF2-ArfA smFRET data and analysis

description: Raw data generated for the purpose of the research project titled: "A cascade of structural rearrangements positions peptide release factor 2 for polypeptide hydrolysis on the ribosome".
DOI: 10.5281/zenodo.17246323
title: RF2-ArfA smFRET data and analysis

description: Raw data generated for the purpose of the research project titled: "A cascade of structural rearrangements positions peptide release factor 2 for polypeptide hydrolysis on the ribosome".
DOI: 10.15468/dl.yvsujr
title: Occurrence Download

description: A dataset containing 1551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-126.89191 5.40269,-75.46629 5.40269,-75.46629 36.19004,-126.89191 36.19004,-126.89191 5.40269))",
 "TaxonKey is Puma concolor"
 ]
}

 The dataset includes 1551 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031884-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9qppn
title: Occurrence Download

description: A dataset containing 816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (University of Florida Herpetology, The reptiles and amphibians collection (RA) of the Muséum national d'Histoire Naturelle (MNHN - Paris), Museu Paraense Emílio Goeldi - Crocodylia Collection, Données du Parc amazonien de Guyane - Données sur la chasse Parc amazonien de Guyane 2010-2012, Vertebrate Zoology Division - Herpetology, Yale Peabody Museum, ZFMK Herpetology collection)",
 "OccurrenceStatus is Present",
 "TaxonKey is Paleosuchus palpebrosus"
 ]
}

 The dataset includes 816 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031887-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17604325
title: Binary Adsorption Equilibria Data Set of Three CO2+CH4 Mixtures on NIST Reference Zeolite Y (RM 8850) at Temperatures from 298 to 353 K and Pressures up to 3 MPa

description: This data set contains adsorption information files (.AIF) of of 3 CO2+CH4 mixtures plus the unary data of these gases on the NIST Reference Zeolite Y (RM 8850) at Temperatures from 298 to 353 K and Pressures up to 3 MPa
DOI: 10.5281/zenodo.17604326
title: Binary Adsorption Equilibria Data Set of Three CO2+CH4 Mixtures on NIST Reference Zeolite Y (RM 8850) at Temperatures from 298 to 353 K and Pressures up to 3 MPa

description: This data set contains adsorption information files (.AIF) of of 3 CO2+CH4 mixtures plus the unary data of these gases on the NIST Reference Zeolite Y (RM 8850) at Temperatures from 298 to 353 K and Pressures up to 3 MPa
DOI: 10.5281/zenodo.5576436
title: The NGI Forward semantic social network data

description: The NGI Forward project is part of the European Union's Next Generation Internet Initiative. It is meant to provide European institutions with policy advice for how to shape the future, human-centric Internet. As part of it, a team of ethnographers coded a specially convened online conversation, then arranged its results into a semantic social network. This dataset encodes that conversation, as well as the results of the coding exercise, in raw data form for further exploration and replication purposes. The dataset is pseudonymized.



	
Funnel website of the project.
	
About semantic social networks.
	
Data export and documentation process (contains links to the code used to export the data)
description: Final version
DOI: 10.17632/rpv855hrsc
title: Dataset - Geothermal Integration in Isolated Power Systems

description: Input Data and generation dispatch simulation results of La Palma, with and without geothermal plant.
DOI: 10.5281/zenodo.3735007
title: The NGI Forward semantic social network data

description: The NGI Forward project is part of the European Union's Next Generation Internet Initiative. It is meant to provide European institutions with policy advice for how to shape the future, human-centric Internet. As part of it, a team of ethnographers coded a specially convened online conversation, then arranged its results into a semantic social network. This dataset encodes that conversation, as well as the results of the coding exercise, in raw data form for further exploration and replication purposes. The dataset is pseudonymized.



	
Funnel website of the project.
	
About semantic social networks.
	
Data export and documentation process (contains links to the code used to export the data)
description: Final version
DOI: 10.17632/rpv855hrsc.1
title: Dataset - Geothermal Integration in Isolated Power Systems

description: Input Data and generation dispatch simulation results of La Palma, with and without geothermal plant.
DOI: 10.17632/tys2gscdv7
title: Longitudinal indoor air quality dataset (CO2, PM, Temp, RH) in South African classrooms across six infrastructure types (2023-2025)

description: Research Hypothesis & Context:
In the resource-constrained South African education sector, temporary infrastructure (shipping containers and prefabricated units) is frequently used as a permanent solution for classroom overcrowding. This study hypothesises that these temporary structures offer significantly poorer Indoor Air Quality (IAQ) and thermal comfort compared to permanent brick infrastructure, potentially impacting learner cognition and health.
This dataset provides a longitudinal comparative analysis of these building types for occupied and unoccupied dates. It captures the "real-world" learning environment, accounting for external factors unique to the region, such as rolling national power outages, dictating mechanical ventilation availability.

Methodology & Data Collection:
Data was collected via a custom LoRaWAN IoT network deployed in primary schools in Stellenbosch, South Africa.
Timeframe: Feb 2023 - Jan 2025 (24 mos.), capturing multiple seasonal cycles.
Sampling: Intervals from 11 min (early deployment) to 3 min (primary deployment) to capture high-resolution data.
Sensors: DHT22 (T/RH), COZIR-LP-5000 (CO2), and PMS5003 (PM 1.0, 2.5, 10).

Data Interpretation:
The dataset comprises ~2.8 mil data points across 6 infrastructure types: Container (with and without a wood-panel wall retrofit), Mobile/Prefab, and Brick (First/Second Floor/Single Storey).

Files and Structure:
rawmeasurements.csv: This file exceeds 100MB and contains ~2.8 million rows. May require statistical software (Python, R, Stata) to process. Contains the primary time-series vectors for CO2, T, RH, and PM.
roomdetails.csv: Static metadata linking roomcode to physical attributes (dimensions, window size, building materials, and orientation).
weatherinfo.csv: Daily ambient conditions including Temperature, Wind Speed/Direction, and Solar Irradiance (GHI, DNI, DHI) for energy modelling, as well as ASHRAE 55-2023 thermal comfort metrics Tpma, and 80% thermal acceptability limits. (Full weather data not published due to copyrights, may be requested)
occupancyschedules.csv: High-resolution binary arrays (0/1) estimating room occupancy based on school timetables.
powerofftimes.json: Logs of power outage events, allowing researchers to correlate spikes in CO2 or Temperature with forced HVAC outages.
CodeBook.xlsx: The master dictionary for all variable codes and units.

Notable Findings & Usage:
The data reveals distinct thermal profiles where uninsulated containers exhibit extreme temperature fluctuations compared to brick structures. High CO2 accumulation rates observed during winter months highlight ventilation deficits when windows are closed to conserve heat.

Research Potential:
Public Health: Using CO2 as a proxy for viral transmission risk in crowded spaces.
Building Physics: Energy modelling using the provided Solar Irradiance and power outage data.
Policy: Providing evidence-based recommendations for school infrastructure procurement in developing economies.
DOI: 10.15468/dl.yhx3n3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "ClassKey is ",
 {
 "not" : {
 "ScientificName" : [
 "is Sternula nereis Gould, 1843"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031888-251025141854904/datasets/export for details.
DOI: 10.17632/tys2gscdv7.11
title: Longitudinal indoor air quality dataset (CO2, PM, Temp, RH) in South African classrooms across six infrastructure types (2023-2025)

description: Research Hypothesis & Context:
In the resource-constrained South African education sector, temporary infrastructure (shipping containers and prefabricated units) is frequently used as a permanent solution for classroom overcrowding. This study hypothesises that these temporary structures offer significantly poorer Indoor Air Quality (IAQ) and thermal comfort compared to permanent brick infrastructure, potentially impacting learner cognition and health.
This dataset provides a longitudinal comparative analysis of these building types for occupied and unoccupied dates. It captures the "real-world" learning environment, accounting for external factors unique to the region, such as rolling national power outages, dictating mechanical ventilation availability.

Methodology & Data Collection:
Data was collected via a custom LoRaWAN IoT network deployed in primary schools in Stellenbosch, South Africa.
Timeframe: Feb 2023 - Jan 2025 (24 mos.), capturing multiple seasonal cycles.
Sampling: Intervals from 11 min (early deployment) to 3 min (primary deployment) to capture high-resolution data.
Sensors: DHT22 (T/RH), COZIR-LP-5000 (CO2), and PMS5003 (PM 1.0, 2.5, 10).

Data Interpretation:
The dataset comprises ~2.8 mil data points across 6 infrastructure types: Container (with and without a wood-panel wall retrofit), Mobile/Prefab, and Brick (First/Second Floor/Single Storey).

Files and Structure:
rawmeasurements.csv: This file exceeds 100MB and contains ~2.8 million rows. May require statistical software (Python, R, Stata) to process. Contains the primary time-series vectors for CO2, T, RH, and PM.
roomdetails.csv: Static metadata linking roomcode to physical attributes (dimensions, window size, building materials, and orientation).
weatherinfo.csv: Daily ambient conditions including Temperature, Wind Speed/Direction, and Solar Irradiance (GHI, DNI, DHI) for energy modelling, as well as ASHRAE 55-2023 thermal comfort metrics Tpma, and 80% thermal acceptability limits. (Full weather data not published due to copyrights, may be requested)
occupancyschedules.csv: High-resolution binary arrays (0/1) estimating room occupancy based on school timetables.
powerofftimes.json: Logs of power outage events, allowing researchers to correlate spikes in CO2 or Temperature with forced HVAC outages.
CodeBook.xlsx: The master dictionary for all variable codes and units.

Notable Findings & Usage:
The data reveals distinct thermal profiles where uninsulated containers exhibit extreme temperature fluctuations compared to brick structures. High CO2 accumulation rates observed during winter months highlight ventilation deficits when windows are closed to conserve heat.

Research Potential:
Public Health: Using CO2 as a proxy for viral transmission risk in crowded spaces.
Building Physics: Energy modelling using the provided Solar Irradiance and power outage data.
Policy: Providing evidence-based recommendations for school infrastructure procurement in developing economies.
DOI: 10.17632/hhxjhg4464
title: fertility awareness

description: Fertility Awareness and Psychological Resilience Among Women of Reproductive Age After the Earthquake
This dataset contains quantitative data from a descriptive cross-sectional study conducted among women aged 15–49 living in the Antakya district of Hatay, Türkiye, following the February 2023 earthquake. Data were collected through face-to-face surveys with 359 eligible participants in Family Health Centers. The dataset includes socio-demographic variables, earthquake-related information, items of the Fertility Awareness/Perception Scale, items of the Psychological Resilience Scale, and total scores of both scales. The data are provided in raw SPSS format, coded but not further processed. This dataset is shared to facilitate future research, comparative analyses, and evidence synthesis on women’s reproductive health and psychological resilience in post-disaster settings.
This study received approval from the institutional Ethics Committee. Written and/or verbal informed consent was obtained from all participants. The dataset is shared in fully anonymized form with all identifying information removed.
DOI: 10.17632/hhxjhg4464.1
title: fertility awareness

description: Fertility Awareness and Psychological Resilience Among Women of Reproductive Age After the Earthquake
This dataset contains quantitative data from a descriptive cross-sectional study conducted among women aged 15–49 living in the Antakya district of Hatay, Türkiye, following the February 2023 earthquake. Data were collected through face-to-face surveys with 359 eligible participants in Family Health Centers. The dataset includes socio-demographic variables, earthquake-related information, items of the Fertility Awareness/Perception Scale, items of the Psychological Resilience Scale, and total scores of both scales. The data are provided in raw SPSS format, coded but not further processed. This dataset is shared to facilitate future research, comparative analyses, and evidence synthesis on women’s reproductive health and psychological resilience in post-disaster settings.
This study received approval from the institutional Ethics Committee. Written and/or verbal informed consent was obtained from all participants. The dataset is shared in fully anonymized form with all identifying information removed.
DOI: 10.5519/qd.hrmpieij
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.17632/d7cwp2t2rb
title: About adolescents’ goal systems

description: Participants were randomly selected from three middle schools in China, covering urban and rural areas, economically developed and underdeveloped regions, and key and non-key schools. Whole-class sampling was conducted by grade, with class teachers distributing the questionnaire to parents and students for informed consent. Student participation was voluntary. A total of 806 responses were collected, of which 772 were valid after removing incomplete, high school-level, or careless responses.