cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w3j6z2gzd4
title: A study on the Effect of Education Training on Parents With Autism Based on Denver Model：A randomized controlled trial

description: Use The demographic questionnaire,Trait Coping Style Questionnaire,Illness Cognition Questionnaire-Parent version,Depression Anxiety Stress Scales,Guilt about Parenting Scale and Beach Center Family Quality of Life Scale. Statistical analyses were performed using SPSS 26.0. For the test group and for the According to the general data of the parents in the group, the frequency and percentage were used for statistical description. Comparison of the scores of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL between the two groups in general data and before intervention: Chi-square test or Fisher's exact method were used for comparison of general data. Two independent samples t-test was used for normal or approximate normal scores, and two independent samples were used for skewness distribution Mann-Whitney U-rank sum test. The scores of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with normal or approximate normal distribution by paired t-test, and the differences of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with the skewed distribution by non-parametric test. The differences of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with the skewed distribution by Wilcoxon rank sum test. A p-value &lt;0.05 was considered to indicate statistical significance.In this study, ESDM-based education and training for parents of autistic children can improve parents' positive coping styles and disease cognition, improve parents' parenting guilt, relieve depression, anxiety and stress, and improve the quality of life of families with autistic children.
DOI: 10.17632/w3j6z2gzd4.1
title: A study on the Effect of Education Training on Parents With Autism Based on Denver Model：A randomized controlled trial

description: Use The demographic questionnaire,Trait Coping Style Questionnaire,Illness Cognition Questionnaire-Parent version,Depression Anxiety Stress Scales,Guilt about Parenting Scale and Beach Center Family Quality of Life Scale. Statistical analyses were performed using SPSS 26.0. For the test group and for the According to the general data of the parents in the group, the frequency and percentage were used for statistical description. Comparison of the scores of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL between the two groups in general data and before intervention: Chi-square test or Fisher's exact method were used for comparison of general data. Two independent samples t-test was used for normal or approximate normal scores, and two independent samples were used for skewness distribution Mann-Whitney U-rank sum test. The scores of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with normal or approximate normal distribution by paired t-test, and the differences of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with the skewed distribution by non-parametric test. The differences of TCSQ, ICQ-P, DASS-21, GAPS and BCFQOL in the two groups before and after the intervention were in accordance with the skewed distribution by Wilcoxon rank sum test. A p-value &lt;0.05 was considered to indicate statistical significance.In this study, ESDM-based education and training for parents of autistic children can improve parents' positive coping styles and disease cognition, improve parents' parenting guilt, relieve depression, anxiety and stress, and improve the quality of life of families with autistic children.
DOI: 10.17026/ar/w27s0i
title: Archeologisch bureauonderzoek & Inventariserend Veldonderzoek, verkennende fase St. Willibrordusstraat (Oostdorp), Wassenaar, gemeente Wassenaar

description: &lt;p&gt;IDDS Archeologie heeft in februari 2024 een archeologisch bureauonderzoek en een inventariserend veldonderzoek (IVO), verkennende fase, uitgevoerd in een deel van de wijk Oostdorp met onder andere de St. Willibrordusstraat in Wassenaar, gemeente Wassenaar. De doel- en vraagstelling van het bureauonderzoek is het opstellen van een gespecificeerde archeologische verwachting voor het plangebied. Met het inventariserend veldonderzoek wordt deze verwachting getoetst en zo nodig aangevuld. &lt;/p&gt;&lt;p&gt;
Uit het bureauonderzoek blijkt dat het plangebied is gelegen op een strandwal die is gevormd tussen 2750 en 2525 voor Chr. Deze strandwalafzettingen zijn afgedekt met duinzand. Binnen dit duinlandschap kunnen lokale depressies voorkomen welke zijn opgevuld met veen. Ook kunnen er vegetatiehorizonten binnen de duinafzettingen aanwezig zijn. Op basis van de landschappelijke ligging geldt in het plangebied een hoge verwachting voor archeologische resten vanaf het Laat Neolithicum. Het kan gaan om resten van bewoning en van landgebruik zoals akkerbouw. Er kunnen sporen worden aangetroffen zoals paalkuilen, greppels en ploegsporen en vondsten zoals aardewerk en vuursteen. Onder de grondwaterspiegel kan ook organisch materiaal goed bewaard zijn gebleven. Archeologische resten kunnen worden aangetroffen in de onverstoorde top van het duinzand en op verschillende niveaus (herkenbaar als humeuze en/of ontkalkte niveaus) in het Oude duin- en strandwalzand. In de lokale depressies kunnen archeologische resten worden aangetroffen in en onder het veen. Mogelijk kan het gebruik van het plangebied voor bloembollenteelt en de bouw van een woonwijk ervoor hebben gezorgd dat met name het bovenste archeologische niveau verstoord is; dieper gelegen niveaus kunnen nog wel intact aanwezig zijn.&lt;/p&gt;&lt;p&gt;
De landschappelijke verwachting wordt bevestigd door het veldonderzoek, maar de onverstoorde top (eigenlijk ongeveer het gehele pakket) van het duinzand is niet meer intact. De verstoringen reiken tot een diepte tussen 0,7 en 1,2 m -mv ofwel tot tussen -0,1 en -1,0 m NAP (soms lokaal nog veel dieper) en op basis van deze verstoringen wordt de archeologische verwachting bijgesteld naar laag op het aantreffen van intacte archeologische waarden. IDDS Archeologie adviseert om het plangebied, voor wat betreft het aspect archeologie, vrij te geven voor de voorgenomen civieltechnische werkzaamheden.&lt;/p&gt;
DOI: 10.17632/ypkxfpkhnk
title: Air Quality Data in Keputih, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Keputih, Surabaya, Indonesia (60111), spanning the period continuously from January 1, 2025, to the present date, and representing nearly a full year of ongoing data collection. The measurements, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consist of eight key parameters: AQI US, AQI CN, particulate matter concentrations (PM2.5 and PM10 in ug/m3), CO2 concentration (ppm), Temperature (in both Celsius and Fahrenheit), and Humidity (%).
DOI: 10.17632/ypkxfpkhnk.1
title: Air Quality Data in Keputih, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Keputih, Surabaya, Indonesia (60111), spanning the period continuously from January 1, 2025, to the present date, and representing nearly a full year of ongoing data collection. The measurements, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consist of eight key parameters: AQI US, AQI CN, particulate matter concentrations (PM2.5 and PM10 in ug/m3), CO2 concentration (ppm), Temperature (in both Celsius and Fahrenheit), and Humidity (%).
DOI: 10.17632/t7bb25vtnb
title: Air Quality Data in ITS Campus, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected at Teknik Geomatika ITS, Surabaya, Indonesia (60111), spanning the period from January 1, 2025 (with the end date assumed to be the latest available measurement, or the current system time if actively running) and containing a large volume of data points. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of eight key parameters: AQI US, AQI CN, particulate matter concentrations (PM2.5 and PM10 in mug/m3), CO2 concentration (ppm), Temperature (in both Celsius and Fahrenheit), and Humidity (%).
DOI: 10.17632/t7bb25vtnb.1
title: Air Quality Data in ITS Campus, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected at Teknik Geomatika ITS, Surabaya, Indonesia (60111), spanning the period from January 1, 2025 (with the end date assumed to be the latest available measurement, or the current system time if actively running) and containing a large volume of data points. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of eight key parameters: AQI US, AQI CN, particulate matter concentrations (PM2.5 and PM10 in mug/m3), CO2 concentration (ppm), Temperature (in both Celsius and Fahrenheit), and Humidity (%).
DOI: 10.5281/zenodo.17536354
title: Vanishing of the Glacier Yanamarey, one of the four glaciers with in situ measurements in the Cordillera Blanca, Peru

description: This repository contains annual data from several glaciers in the Cordillera Blanca, Peru, obtained through glaciological and remote sensing observations. In addition, it provides several measured variables specifically for the Yanamarey Glacier.

The observed surface mass balance (SMB) data from four glaciers were compiled from various sources and previously published scientific studies, including the Autoridad Nacional del Agua of Peru (ANA), the World Glacier Monitoring Service (WGMS), and the study by Rabatel et al. (2013).

The geodetic mass balance data were provided by Lena Gurriaran and Antoine Rabatel, both affiliated with the Institut des Géosciences de l'Environnement of the Université Grenoble Alpes.

The repository includes the following main files:



SMB_remote_sensing.csv: surface mass balance data for 44 glaciers in the Cordillera Blanca.

SMB_glaciological.csv: glaciological and remote sensing surface mass balance data for 4 glaciers in the Cordillera Blanca.

Yanamarey.csv: surface mass balance, equilibrium line altitude, and frontal position data for the Yanamarey Glacier.
DOI: 10.5281/zenodo.17536353
title: Vanishing of the Glacier Yanamarey, one of the four glaciers with in situ measurements in the Cordillera Blanca, Peru

description: This repository contains annual data from several glaciers in the Cordillera Blanca, Peru, obtained through glaciological and remote sensing observations. In addition, it provides several measured variables specifically for the Yanamarey Glacier.

The observed surface mass balance (SMB) data from four glaciers were compiled from various sources and previously published scientific studies, including the Autoridad Nacional del Agua of Peru (ANA), the World Glacier Monitoring Service (WGMS), and the study by Rabatel et al. (2013).

The geodetic mass balance data were provided by Lena Gurriaran and Antoine Rabatel, both affiliated with the Institut des Géosciences de l'Environnement of the Université Grenoble Alpes.

The repository includes the following main files:



SMB_remote_sensing.csv: surface mass balance data for 44 glaciers in the Cordillera Blanca.

SMB_glaciological.csv: glaciological and remote sensing surface mass balance data for 4 glaciers in the Cordillera Blanca.

Yanamarey.csv: surface mass balance, equilibrium line altitude, and frontal position data for the Yanamarey Glacier.
DOI: 10.17632/88pm23662f
title: Thermodynamic Screening of Iron-bearing Mineral Reactivity with Hydrogen

description: This dataset supports the manuscript “Thermodynamic Screening of Iron-bearing Mineral Reactivity with Hydrogen”. The hypothesis is that hydrogen loss in underground hydrogen storage depends on mineralogy and reservoir chemistry (especially pH and P(H₂)), rather than simply on bulk iron content. The files contain thermodynamic input data (from THERMODDEM) and calculated ΔG values for reductive dissolution (Fe³⁺ → Fe²⁺) and native-iron (Fe⁰) formation for 11 Fe-bearing minerals over ranges in temperature, pH, hydrogen partial pressure and Fe²⁺ concentration. Data were generated in Python by applying standard Gibbs free-energy equations and Henry’s law; no experimental measurements are included. The results show that cronstedtite, ferrihydrite and hisingerite are consistently strong hydrogen oxidizers, while minerals such as hematite, magnetite, epidote and andradite are only thermodynamically reactive under acidic–neutral conditions, and glauconite is largely non-reactive. Native iron formation generally requires much higher hydrogen partial pressure than Fe²⁺ production.
DOI: 10.17632/88pm23662f.1
title: Thermodynamic Screening of Iron-bearing Mineral Reactivity with Hydrogen

description: This dataset supports the manuscript “Thermodynamic Screening of Iron-bearing Mineral Reactivity with Hydrogen”. The hypothesis is that hydrogen loss in underground hydrogen storage depends on mineralogy and reservoir chemistry (especially pH and P(H₂)), rather than simply on bulk iron content. The files contain thermodynamic input data (from THERMODDEM) and calculated ΔG values for reductive dissolution (Fe³⁺ → Fe²⁺) and native-iron (Fe⁰) formation for 11 Fe-bearing minerals over ranges in temperature, pH, hydrogen partial pressure and Fe²⁺ concentration. Data were generated in Python by applying standard Gibbs free-energy equations and Henry’s law; no experimental measurements are included. The results show that cronstedtite, ferrihydrite and hisingerite are consistently strong hydrogen oxidizers, while minerals such as hematite, magnetite, epidote and andradite are only thermodynamically reactive under acidic–neutral conditions, and glauconite is largely non-reactive. Native iron formation generally requires much higher hydrogen partial pressure than Fe²⁺ production.
DOI: 10.17632/s62kwbmrvy
title: When Green Certification Pays Off: Financial Returns from Environmental Regulation Compliance

description: This study uses data from A-share listed companies in China between 2010 and 2023 and employs a multi-period difference-in-differences model to empirically examine the impact of green factory certification under China’s green manufacturing demonstration program on corporate financial performance. The results show that after obtaining the green factory certification, firms exhibit a significant improvement in financial performance. Mechanism tests reveal that green factory certification incentivizes corporate green innovation, which emphasizes the adoption of new technologies and concepts to achieve efficient resource utilization and effective pollution reduction, thereby generating economic benefits. Additionally, green factory certification enhances firms’ external green image by attracting green investors, leading to market recognition and increased market share, which further improves financial performance. Heterogeneous analyses indicate that the positive effects of green factory certification are stronger for firms with multiple certifications, no environmental violations, stronger public environmental awareness in the region, and firms in heavily polluting industries. Further analysis shows that green factory certification mitigates the negative impact of extreme weather on corporate financial performance. This study provides micro-level empirical evidence on the determinants of corporate financial performance and offers policy implications for the implementation of green manufacturing demonstration projects and voluntary environmental regulation policies.
DOI: 10.5281/zenodo.16919003
title: Forecasting Power Quality Parameters using Decision Tree and KNN Algorithms  in a Small Scale Off-Grid Platform

description: Abstract:

The article presents the performance comparison results of four forecasting methods in forecasting electric power quality parameters (PQPs) in small-scale off-grid environments. The following methods were compared: Bagging Decision Tree (BGDT), Boosting Decision Tree (BODT), and K-Nearest Neighbor (KNN) algorithm with k = 5 and with k = 10. The main goal of this study is to find a relation between the input variables (weather conditions, 1st and 2nd step back of PQP, consumed power of home appliances) and the power quality parameters as target outputs. The studied PQPs are amplitude of power voltage (U), Voltage Total Harmonic Distortion (THDu), Current Total Harmonic Distortion (THDi), Power Factor (PF), and Power Load (PL). The root mean square error (RMSE) was used to evaluate the forecasting results. BGDT accomplished better forecasting results for the THDu, THDi, and PF. Only BODT achieved a good forecasting result for PL. KNN (k = 5) algorithm achieved a good result for PF prediction. KNN (k = 10) algorithm predicted acceptable results for U and PF. The computation time was considered, and the KNN algorithm took a shorter time than ensemble decision trees.

 

Funding:

This article has been supported by EU funds under the project “Increasing the resilience of power grids in the context of decarbonisation, decentralisation and sustainable socioeconomic development” (CZ.02.01.01/00/23_021/0008759), through the Operational Programme Johannes Amos Comenius.
DOI: 10.17632/s62kwbmrvy.1
title: When Green Certification Pays Off: Financial Returns from Environmental Regulation Compliance

description: This study uses data from A-share listed companies in China between 2010 and 2023 and employs a multi-period difference-in-differences model to empirically examine the impact of green factory certification under China’s green manufacturing demonstration program on corporate financial performance. The results show that after obtaining the green factory certification, firms exhibit a significant improvement in financial performance. Mechanism tests reveal that green factory certification incentivizes corporate green innovation, which emphasizes the adoption of new technologies and concepts to achieve efficient resource utilization and effective pollution reduction, thereby generating economic benefits. Additionally, green factory certification enhances firms’ external green image by attracting green investors, leading to market recognition and increased market share, which further improves financial performance. Heterogeneous analyses indicate that the positive effects of green factory certification are stronger for firms with multiple certifications, no environmental violations, stronger public environmental awareness in the region, and firms in heavily polluting industries. Further analysis shows that green factory certification mitigates the negative impact of extreme weather on corporate financial performance. This study provides micro-level empirical evidence on the determinants of corporate financial performance and offers policy implications for the implementation of green manufacturing demonstration projects and voluntary environmental regulation policies.
DOI: 10.17632/gx6y7n6ybr
title: Air Quality Data in Dukuh Kupang, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Dukuh Kupang, Surabaya, Indonesia (-7.2837933,112.7157405), spanning the period from December 24, 2019, to May 7, 2020, and containing over 40,000 data points. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of eight key parameters: AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/gx6y7n6ybr.1
title: Air Quality Data in Dukuh Kupang, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Dukuh Kupang, Surabaya, Indonesia (-7.2837933,112.7157405), spanning the period from December 24, 2019, to May 7, 2020, and containing over 40,000 data points. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of eight key parameters: AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/v9ykfbnvwk
title: Air Quality Data in Benowo, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Benowo, Surabaya, Indonesia (-7.2503661,112.6298347), spanning an extended period from December 24, 2019, to September 20, 2025. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of parameters of AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/v9ykfbnvwk.1
title: Air Quality Data in Benowo, Surabaya, Indonesia (minutely data)

description: This dataset provides a detailed, minutely record of air quality and environmental conditions collected in Benowo, Surabaya, Indonesia (-7.2503661,112.6298347), spanning an extended period from December 24, 2019, to September 20, 2025. The data, captured using an AirVisual Pro instrument and reported in the Asia/Jakarta (UTC+07:00) timezone, consists of parameters of AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.15468/dl.fux2rc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solomys salebrosus",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037353-251120083545085/datasets/export for details.