cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w8sfhg3v88
title: Replication Package for The Unequal Effects of Weekday Television on Children’s Academic and Behavioral Skills

description: This study examines whether children’s weekday television exposure causally affects cognitive and behavioral development, and whether these effects vary across the outcome distribution and socioeconomic status. The central hypothesis is that increased weekday television viewing crowds out cognitively productive activities and parental interaction, leading to weaker academic performance and elevated behavioral problems, particularly at vulnerable points of the outcome distribution. To address endogeneity in television exposure, the analysis uses instrumental variables and IV quantile regression to identify distributional effects rather than average effects alone.

The data are drawn from a nationally representative longitudinal child level dataset that links children’s cognitive test scores, behavioral assessments, family characteristics, and time use measures. Outcomes include standardized reading and mathematics assessments and a validated behavioral problems index. Television exposure is measured as weekday viewing time reported by caregivers, and instruments exploit plausibly exogenous variation in family structure and parental constraints. The dataset preserves the panel structure, identifier consistency, and missing value patterns necessary for causal estimation.

The empirical results show that increased weekday television exposure has heterogeneous effects across the outcome distribution. Negative effects are generally larger at lower quantiles of cognitive outcomes and for children from lower socioeconomic backgrounds, while behavioral outcomes exhibit stronger adverse responses at higher quantiles of problem behavior. These patterns suggest that television exposure exacerbates existing developmental disparities rather than affecting all children uniformly. Robustness checks using alternative instruments, subgroup analyses, and first stage diagnostics support the stability of the findings.

The data and replication code are intended to be used for causal inference on child development outcomes, with careful attention to sample construction, instrument validity, and distributional heterogeneity. Users should interpret coefficients as local quantile treatment effects identified for compliers, rather than average treatment effects, and should account for outcome specific sample restrictions implied by the estimation strategy.
DOI: 10.17632/w8sfhg3v88.1
title: Replication Package for The Unequal Effects of Weekday Television on Children’s Academic and Behavioral Skills

description: This study examines whether children’s weekday television exposure causally affects cognitive and behavioral development, and whether these effects vary across the outcome distribution and socioeconomic status. The central hypothesis is that increased weekday television viewing crowds out cognitively productive activities and parental interaction, leading to weaker academic performance and elevated behavioral problems, particularly at vulnerable points of the outcome distribution. To address endogeneity in television exposure, the analysis uses instrumental variables and IV quantile regression to identify distributional effects rather than average effects alone.

The data are drawn from a nationally representative longitudinal child level dataset that links children’s cognitive test scores, behavioral assessments, family characteristics, and time use measures. Outcomes include standardized reading and mathematics assessments and a validated behavioral problems index. Television exposure is measured as weekday viewing time reported by caregivers, and instruments exploit plausibly exogenous variation in family structure and parental constraints. The dataset preserves the panel structure, identifier consistency, and missing value patterns necessary for causal estimation.

The empirical results show that increased weekday television exposure has heterogeneous effects across the outcome distribution. Negative effects are generally larger at lower quantiles of cognitive outcomes and for children from lower socioeconomic backgrounds, while behavioral outcomes exhibit stronger adverse responses at higher quantiles of problem behavior. These patterns suggest that television exposure exacerbates existing developmental disparities rather than affecting all children uniformly. Robustness checks using alternative instruments, subgroup analyses, and first stage diagnostics support the stability of the findings.

The data and replication code are intended to be used for causal inference on child development outcomes, with careful attention to sample construction, instrument validity, and distributional heterogeneity. Users should interpret coefficients as local quantile treatment effects identified for compliers, rather than average treatment effects, and should account for outcome specific sample restrictions implied by the estimation strategy.
DOI: 10.15468/dl.42m5hu
title: Occurrence Download

description: A dataset containing 45062586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20 -38,55 -38,55 38,-20 38,-20 -38))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Passeriformes"
 ]
}

 The dataset includes 45062586 records from 387 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021819-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b9tryr388p.1
title: A dataset of Early fault diagnosis of electric vehicle batteries based on physics-informed DeepSeekV3 architecture

description: Accurate early warning of battery failure is essential to ensure the safety of electric vehicles (EVs). However, the scarcity of early fault samples, the difficulty in capturing weak features, and the fact that pure data - driven models are prone to violate physical laws still pose challenges for early fault diagnosis. To address these issues, an unsupervised joint diagnosis framework combining generative pre-trained transformer and weighted one-class support vector machine (GPT-WOCSVM) is proposed for the first time in this paper. The charge data GPT (Charge-dataGPT) is constructed based on the physics-informed DeepSeekV3 architecture. It can use the charging data of the first 10 minutes to generate the charging sequence for the next 20 minutes in accordance with the electrochemical law through autoregression; WOCSVM is trained only with normal data, and early fault recognition is realized by judging whether the generated sequence deviates from the normal mode. 
This dataset contains the implementation code and model of GPT-WOCSVM.
DOI: 10.17632/s9g65ht6hm.3
title: Psychochemical Pretreatment on Lesser-Known Shrub Biomass for Bio-Pellet Production

description: The dataset generated from this study consists of characteristics of four physicochemical treated lesser-known shrub species (Lagerstroemia speciosa, Gliricidia falcatum, Melastoma avenis, and Melastoma sundaicus) subjected to different extraction treatments. Each species was treated using four types of solvents: distilled water, ethanol, hexane, and a combination of ethanol and hexane, under two temperature conditions: room temperature (25°C) and elevated temperature (50°C). The primary parameters measured include moisture content, weight loss, yield, volatile matter, and gross calorific value, which are critical indicators of biomass quality for biopellet production.
DOI: 10.15468/dl.qcmjmd
title: Occurrence Download

description: A dataset containing 2572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Eriachne mucronata"
 ]
}

 The dataset includes 2572 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021867-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vwt5w44gzt
title: Trends and Outcomes of Medical Malpractice Litigation Involving Skin Cancer in the United States: A Nationwide Database Descriptive Analysis (1930–2025)

description: Supplemental file
DOI: 10.17632/vwt5w44gzt.1
title: Trends and Outcomes of Medical Malpractice Litigation Involving Skin Cancer in the United States: A Nationwide Database Descriptive Analysis (1930–2025)

description: Supplemental file
DOI: 10.17632/v3n9w6n48b
title: Data-driven spatial priority mapping for Two-bedroom housing in tropical India using Machine Learning and Analytical Hierarchy Process

description: Datas of user response analysis
DOI: 10.17632/v3n9w6n48b.2
title: Data-driven spatial priority mapping for Two-bedroom housing in tropical India using Machine Learning and Analytical Hierarchy Process

description: Datas of user response analysis
DOI: 10.17632/wsfmmw6294
title: Dataset for Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study

description: This supplementary dataset provides full transparency and reproducibility for the empirical study titled "Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study". It contains all experimental data used to analyze the impact of different prompting strategies and input configurations in the automated remediation of web accessibility issues.

The spreadsheet is organized into multiple sheets that document both manual and automated evaluations:

Manual evaluation sheets report the results of expert assessments using the Barrier Walkthrough (BW) method, including severity levels (Minor, Significant, Critical) per variant and barrier. Summary graphs aggregate this data for visualization and interpretation.

Automated evaluation sheets include metrics obtained from WAVE reporting the number of errors, alerts, and compliance indicators across variants.

Evaluation with blind users sheet reports the results of assessments using the Direct Observation (DO) method, including user demographics, tasks definition, and feedback cards of all participants.

Also contains the fully curated data resulting from the entire review process, including metadata for the selected primary studies, the search queries, filters used, inclusion/exclusion criteria, and the PRISMA checklist performed across the phases of the proposed method.

Together, these materials support the reproducibility of the study and provide a structured foundation for future studies in the field of web accessibility.
DOI: 10.17632/wsfmmw6294.3
title: Dataset for Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study

description: This supplementary dataset provides full transparency and reproducibility for the empirical study titled "Accessibility Challenges for Blind Users Authoring in Content Management Systems: An Empirical Study". It contains all experimental data used to analyze the impact of different prompting strategies and input configurations in the automated remediation of web accessibility issues.

The spreadsheet is organized into multiple sheets that document both manual and automated evaluations:

Manual evaluation sheets report the results of expert assessments using the Barrier Walkthrough (BW) method, including severity levels (Minor, Significant, Critical) per variant and barrier. Summary graphs aggregate this data for visualization and interpretation.

Automated evaluation sheets include metrics obtained from WAVE reporting the number of errors, alerts, and compliance indicators across variants.

Evaluation with blind users sheet reports the results of assessments using the Direct Observation (DO) method, including user demographics, tasks definition, and feedback cards of all participants.

Also contains the fully curated data resulting from the entire review process, including metadata for the selected primary studies, the search queries, filters used, inclusion/exclusion criteria, and the PRISMA checklist performed across the phases of the proposed method.

Together, these materials support the reproducibility of the study and provide a structured foundation for future studies in the field of web accessibility.
DOI: 10.17632/kfny7sjd99
title: Petrology and aerodynamics of the Maoming (L5) meteorite: Implications for asteroid defense

description: This dataset supports the combined mineralogical, petrological, and aerodynamic research of the Maoming meteorite, a newly discovered L5 ordinary chondrite (observed fall). It aims to provide scientific references for asteroid defense strategies.The dataset primarily consists of:
(1) Numerical Analysis Code: Python-based scripts implementing Runge-Kutta 4th order (RK4) and Euler methods to simulate the meteorite's trajectory during atmospheric entry; (2) Mineralogical Data: Raw Electron Probe Microanalyzer (EPMA) data of representative silicate minerals and opaque minerals found in the Maoming meteorite; (3) Simulation Data: Trajectory and dynamic data generated via the RK4 method under varying initial entry angles. Integrating mineralogical analysis with atmospheric entry simulations, this dataset systematically records the material composition characteristics of the Maoming meteorite and its dynamic behavior within the near-Earth environment.
DOI: 10.17632/kfny7sjd99.1
title: Petrology and aerodynamics of the Maoming (L5) meteorite: Implications for asteroid defense

description: This dataset supports the combined mineralogical, petrological, and aerodynamic research of the Maoming meteorite, a newly discovered L5 ordinary chondrite (observed fall). It aims to provide scientific references for asteroid defense strategies.The dataset primarily consists of:
(1) Numerical Analysis Code: Python-based scripts implementing Runge-Kutta 4th order (RK4) and Euler methods to simulate the meteorite's trajectory during atmospheric entry; (2) Mineralogical Data: Raw Electron Probe Microanalyzer (EPMA) data of representative silicate minerals and opaque minerals found in the Maoming meteorite; (3) Simulation Data: Trajectory and dynamic data generated via the RK4 method under varying initial entry angles. Integrating mineralogical analysis with atmospheric entry simulations, this dataset systematically records the material composition characteristics of the Maoming meteorite and its dynamic behavior within the near-Earth environment.
DOI: 10.17632/dpj4vc36gk
title: Psychobehavioral factors influencing HRV in young population

description: The data has output files of the analysis with detailed multivariate profiling of the predictors on HRV varaibles.
DOI: 10.17632/dpj4vc36gk.1
title: Psychobehavioral factors influencing HRV in young population

description: The data has output files of the analysis with detailed multivariate profiling of the predictors on HRV varaibles.
DOI: 10.5281/zenodo.15040948
title: CAMELS-ES: Catchment Attributes and Meteorology for Large-Sample Studies – Spain

description: CAMELS-ES is a hydrometeorological dataset covering 269 catchments in Spain and the time period from 1991 to 2020. It is a contribution to the Caravan initiative, a global community that collects open hydrometeorological data to support global hydrological modelling. As other datasets in Caravan, CAMELS-ES includes both catchment attributes extracted from HydroATLAS and ERA5-Land, meteorological time series from ERA5-Land and discharge records from the Spanish Ministry of the Environment. In addition, CAMELS-ES includes information from the European Flood Awareness System (EFASv5): catchment attributes extracted from the input static maps used in the hydrological model LISFLOOD, and the simulated discharge from EFASv5 long run.

How to cite

Casado-Rodríguez, J., Ramos-Gomes, G., & Salamon, P. (2026). Simulación del caudal en España utilizando redes neuronales Long Short-Term Memory. Ingeniería del Agua, 30(1), 63–78. https://doi.org/10.4995/ia.25084
DOI: 10.5281/zenodo.8373020
title: CAMELS-ES: Catchment Attributes and Meteorology for Large-Sample Studies – Spain

description: CAMELS-ES is a hydrometeorological dataset covering 269 catchments in Spain and the time period from 1991 to 2020. It is a contribution to the Caravan initiative, a global community that collects open hydrometeorological data to support global hydrological modelling. As other datasets in Caravan, CAMELS-ES includes both catchment attributes extracted from HydroATLAS and ERA5-Land, meteorological time series from ERA5-Land and discharge records from the Spanish Ministry of the Environment. In addition, CAMELS-ES includes information from the European Flood Awareness System (EFASv5): catchment attributes extracted from the input static maps used in the hydrological model LISFLOOD, and the simulated discharge from EFASv5 long run.

How to cite

Casado-Rodríguez, J., Ramos-Gomes, G., & Salamon, P. (2026). Simulación del caudal en España utilizando redes neuronales Long Short-Term Memory. Ingeniería del Agua, 30(1), 63–78. https://doi.org/10.4995/ia.25084
DOI: 10.17632/gb3g3ztgpb
title: Berambadi_Fracture_FEFLOW

description: Shape / xlsx / csv files of subdomain (Bounding Box) within Berambadi (Peninsular India) - nitrate concentration, Darcy flux, hydraulic head etc. FEFLOW model also provided, needs license to run.
DOI: 10.17632/gb3g3ztgpb.2
title: Berambadi_Fracture_FEFLOW

description: Shape / xlsx / csv files of subdomain (Bounding Box) within Berambadi (Peninsular India) - nitrate concentration, Darcy flux, hydraulic head etc. FEFLOW model also provided, needs license to run.
DOI: 10.17632/g2zfg6gjb4
title: Towards a sustainable society: The role of “industry-energy-population” triple transformation in environmental sustainability

description: Data from 30 provinces across China of 2000 to 2021. Tibet, Hong Kong, Macao, and Taiwan are not included. Data sources include the China Statistical Yearbook (2001-2022), the China Energy Statistical Yearbook (2001-2022), and the CEADs database.
DOI: 10.17632/g2zfg6gjb4.1
title: Towards a sustainable society: The role of “industry-energy-population” triple transformation in environmental sustainability

description: Data from 30 provinces across China of 2000 to 2021. Tibet, Hong Kong, Macao, and Taiwan are not included. Data sources include the China Statistical Yearbook (2001-2022), the China Energy Statistical Yearbook (2001-2022), and the CEADs database.
DOI: 10.17632/d6frjr6mdc
title: DATA-Load Characteristics Analysis of Pile-Leg Structures for a Novel Self-Installing Offshore Converter Station Platform Based on Model Tests

description: Experimental Data for a Self-Installing Offshore Converter Station: Transportation, Installation, and In-Place Scenarios
DOI: 10.17632/d6frjr6mdc.1
title: DATA-Load Characteristics Analysis of Pile-Leg Structures for a Novel Self-Installing Offshore Converter Station Platform Based on Model Tests

description: Experimental Data for a Self-Installing Offshore Converter Station: Transportation, Installation, and In-Place Scenarios
DOI: 10.17632/8d9fv6kpt3
title: Large-Scale Lemon Leaf Disease and Pest Image Dataset from Bangladesh

description: This dataset contains citrus leaf images captured under real farm conditions across four major lemon-producing regions in Bangladesh. The images represent a wide range of citrus leaf diseases and pest attacks, including both common infections and nutrient-deficiency symptoms. Each image has been manually labeled and classified into specific disease or pest categories by agricultural domain experts.

The dataset is intended for research purposes in the fields of artificial intelligence, computer vision, and plant pathology — especially for training deep learning-based early detection systems for citrus diseases and pests.

Algal Leaf Spot (875 Images)
Anthracnose (1079 Images)
Bacterial Blight (244 Images)
Black Spot (837 Images)
Citrus Canker (1789 Images)
Citrus Hindu Mite (544 Images)
Citrus Leafminer (900 Images)
Citrus Pest (545 Images)
Citrus Scab (333 Images)
Curl Leaf (1853 Images)
Dry Leaf (390 Images)
Greening (2340 Images)
Healthy (1644 Images)
Lemon Sooty Mold (1597 Images)
Melanose (376 Images)
Spider Mites (250 Images)
Swallowtail Larval Herbivory (Deficiency) (1343 Images)
Yellow Spot (670 Images)

📌 Total Images: 17,609
Image Properties:
Format: JPG & PNG
Resolution: 1000 × 1000 pixels
Color space: RGB
Capture device: Smartphone cameras
Background: Variable — Real farm leaves, different angles, lighting, and white backgrounds

Image Collection Locations
Citrus Research Station — Jaintapur, Sylhet
Lemon Garden Resort — Sreemangal, Moulvibazar
Thai Lemon Orchard — Jaldhaka, Nilphamari
Seedless Lemon Farm — Boalmari, Faridpur
DOI: 10.17632/8d9fv6kpt3.2
title: Large-Scale Lemon Leaf Disease and Pest Image Dataset from Bangladesh

description: This dataset contains citrus leaf images captured under real farm conditions across four major lemon-producing regions in Bangladesh. The images represent a wide range of citrus leaf diseases and pest attacks, including both common infections and nutrient-deficiency symptoms. Each image has been manually labeled and classified into specific disease or pest categories by agricultural domain experts.

The dataset is intended for research purposes in the fields of artificial intelligence, computer vision, and plant pathology — especially for training deep learning-based early detection systems for citrus diseases and pests.

Algal Leaf Spot (875 Images)
Anthracnose (1079 Images)
Bacterial Blight (244 Images)
Black Spot (837 Images)
Citrus Canker (1789 Images)
Citrus Hindu Mite (544 Images)
Citrus Leafminer (900 Images)
Citrus Pest (545 Images)
Citrus Scab (333 Images)
Curl Leaf (1853 Images)
Dry Leaf (390 Images)
Greening (2340 Images)
Healthy (1644 Images)
Lemon Sooty Mold (1597 Images)
Melanose (376 Images)
Spider Mites (250 Images)
Swallowtail Larval Herbivory (Deficiency) (1343 Images)
Yellow Spot (670 Images)

📌 Total Images: 17,609
Image Properties:
Format: JPG & PNG
Resolution: 1000 × 1000 pixels
Color space: RGB
Capture device: Smartphone cameras
Background: Variable — Real farm leaves, different angles, lighting, and white backgrounds

Image Collection Locations
Citrus Research Station — Jaintapur, Sylhet
Lemon Garden Resort — Sreemangal, Moulvibazar
Thai Lemon Orchard — Jaldhaka, Nilphamari
Seedless Lemon Farm — Boalmari, Faridpur
DOI: 10.17632/t5zj87tr49
title: kruger_national_park_crest_soil

description: This dataset complements an investigation on rainfall-mediated fluxes of clay-forming and base-forming elements along soil catena crests. The crests occur along a climate gradient with three zones defined as 470 mm (4 crests) - 550 mm (6 crests) - 740 mm (4 crests) rainfall. There were two rock types uses for geochemical mass balance, one for the dry site and one for the two other zones. The rock and soil compositions are given for major elements (Si, Al, Fe, Ca, Mg, K, Na, Ti) and Zr concentrations. These were used to calculate taus. The concentrations of base cations in the 14 crests are also given in the spreadsheet.
DOI: 10.17632/t5zj87tr49.1
title: kruger_national_park_crest_soil

description: This dataset complements an investigation on rainfall-mediated fluxes of clay-forming and base-forming elements along soil catena crests. The crests occur along a climate gradient with three zones defined as 470 mm (4 crests) - 550 mm (6 crests) - 740 mm (4 crests) rainfall. There were two rock types uses for geochemical mass balance, one for the dry site and one for the two other zones. The rock and soil compositions are given for major elements (Si, Al, Fe, Ca, Mg, K, Na, Ti) and Zr concentrations. These were used to calculate taus. The concentrations of base cations in the 14 crests are also given in the spreadsheet.