cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2dtvppjd8d
title: Smart Irrigation System For Rice Farming

description: This dataset can be used to present several key innovations in the development of an AI-IoT-based Smart Drip Irrigation System (SDIS) specifically designed for rice plants by considering local agronomic characteristics. First, this system integrates four key input parameters to ensure precision and adaptability in irrigation management: (1) rice plant growth phase, which determines the adjustment of the dose, irrigation frequency; (2) soil moisture, as the main indicator to activate irrigation only when the soil water content is below the optimal threshold; (3) Light Intensity; (4) air temperature and (5) and air humidity (measured using a DHT22 sensor), which plays a role in mitigating plant stress due to extreme microclimate conditions.
DOI: 10.17632/2dtvppjd8d.3
title: Smart Irrigation System For Rice Farming

description: This dataset can be used to present several key innovations in the development of an AI-IoT-based Smart Drip Irrigation System (SDIS) specifically designed for rice plants by considering local agronomic characteristics. First, this system integrates four key input parameters to ensure precision and adaptability in irrigation management: (1) rice plant growth phase, which determines the adjustment of the dose, irrigation frequency; (2) soil moisture, as the main indicator to activate irrigation only when the soil water content is below the optimal threshold; (3) Light Intensity; (4) air temperature and (5) and air humidity (measured using a DHT22 sensor), which plays a role in mitigating plant stress due to extreme microclimate conditions.
DOI: 10.17632/6tgywdm28j
title: Dataset for Rice Irrigation System

description: This dataset can be used to present several key innovations in the development of an AI-IoT-based Smart Irrigation System specifically designed for rice plants by considering local agronomic characteristics. First, this system integrates four key input parameters to ensure precision and adaptability in irrigation management: (1) rice plant growth phase, which determines the adjustment of the dose, irrigation frequency; (2) soil moisture, as the main indicator to activate irrigation only when the soil water content is below the optimal threshold; (3) Light Intensity; (4) air temperature and (5) and air humidity (measured using a DHT22 sensor), which plays a role in mitigating plant stress due to extreme microclimate conditions.
DOI: 10.17632/6tgywdm28j.2
title: Dataset for Rice Irrigation System

description: This dataset can be used to present several key innovations in the development of an AI-IoT-based Smart Irrigation System specifically designed for rice plants by considering local agronomic characteristics. First, this system integrates four key input parameters to ensure precision and adaptability in irrigation management: (1) rice plant growth phase, which determines the adjustment of the dose, irrigation frequency; (2) soil moisture, as the main indicator to activate irrigation only when the soil water content is below the optimal threshold; (3) Light Intensity; (4) air temperature and (5) and air humidity (measured using a DHT22 sensor), which plays a role in mitigating plant stress due to extreme microclimate conditions.
DOI: 10.17632/xzddbfkj3c
title: Patient Preferences in the Benefit–Risk Assessment of Atopic Dermatitis Treatments in China: A Nationwide Survey

description: This nationwide survey is the first to assess treatment preferences and risk tolerance among patients with eczema in China, revealing age- and severity-based differences in decision-making.
DOI: 10.17632/xzddbfkj3c.1
title: Patient Preferences in the Benefit–Risk Assessment of Atopic Dermatitis Treatments in China: A Nationwide Survey

description: This nationwide survey is the first to assess treatment preferences and risk tolerance among patients with eczema in China, revealing age- and severity-based differences in decision-making.
DOI: 10.17632/n9jxmcyzhw
title: concrete carbonation data

description: This dataset contains 2163 carbonization records and can be used to train carbonization models.
DOI: 10.17632/n9jxmcyzhw.1
title: concrete carbonation data

description: This dataset contains 2163 carbonization records and can be used to train carbonization models.
DOI: 10.17632/j6krmr75xd
title: Automated Identification of Left Ventricular Hypertrophy using Cardiac Ultrasound imaging: A Systematic Review of Artificial Intelligence Driven Approaches

description: Left ventricular hypertrophy, LVH is an abnormal condition of the heart, with increased thick heart walls and mass. This is considered to be one of the primary causes of cardiovascular mortality across the globe. There are many causes that leads to LVH and can be diagnosed using multiple imaging modalities, with expert support. This systematic review focus on examining the related studies towards automated identification of diseases characterized by LVH using heart ultra sound images. The focus is primarily on diseases such as hypertrophic cardiomyopathy, HCM, hypertension, HTN and chronic kidney disease, CKD, for which the echocardiograms looks similar. Thereby the study highlights the need for CAD tools, that detect these diseases, using the echocardiograms. A detailed description on search strategies, inclusion, exclusion criteria, methods from the literature, results and discussions on limitations, future direction etc. are performed in the study.
DOI: 10.17632/j6krmr75xd.2
title: Automated Identification of Left Ventricular Hypertrophy using Cardiac Ultrasound imaging: A Systematic Review of Artificial Intelligence Driven Approaches

description: Left ventricular hypertrophy, LVH is an abnormal condition of the heart, with increased thick heart walls and mass. This is considered to be one of the primary causes of cardiovascular mortality across the globe. There are many causes that leads to LVH and can be diagnosed using multiple imaging modalities, with expert support. This systematic review focus on examining the related studies towards automated identification of diseases characterized by LVH using heart ultra sound images. The focus is primarily on diseases such as hypertrophic cardiomyopathy, HCM, hypertension, HTN and chronic kidney disease, CKD, for which the echocardiograms looks similar. Thereby the study highlights the need for CAD tools, that detect these diseases, using the echocardiograms. A detailed description on search strategies, inclusion, exclusion criteria, methods from the literature, results and discussions on limitations, future direction etc. are performed in the study.
DOI: 10.17632/pbs4sgjcwb
title: DATA PERMINTAAN SLIK OJK

description: GENERATOR DATASET SLIK OJK AAB-FIF
DOI: 10.17632/pbs4sgjcwb.1
title: DATA PERMINTAAN SLIK OJK

description: GENERATOR DATASET SLIK OJK AAB-FIF
DOI: 10.17632/2vrdxhvftk
title: Mycoplasma pneumoniae

description: Lengths and Peptide Division of the Two Genotype Sequences of Mycoplasma pneumoniae
DOI: 10.17632/2vrdxhvftk.1
title: Mycoplasma pneumoniae

description: Lengths and Peptide Division of the Two Genotype Sequences of Mycoplasma pneumoniae
DOI: 10.17632/6m9brdvm23.1
title: Insect Toll immune pathway activates antibacterial immunity against citrus Huanglongbing pathogen

description: Psyllid-transmitted Candidatus Liberibacter asiaticus (CLas) is a phloem-limited unculturable bacterium that causes citrus Huanglongbing. To date, the mechanisms by which psyllids recognize and respond to this pathogen remain poorly understood. Here, we show that the psyllid Toll8 receptor acts as a pattern recognition receptor for the CLas outer membrane protein Barrel, resulting in Toll8 dimerization and activation. Activated Toll8 subsequently triggers an intracellular signaling cascade, involving MyD88 dimerization and the activation of IκB kinase IKKE, that culminates in the transcriptional activation of the transcription factor NFAT and the expression of antimicrobial effectors. Moreover, we show that CLas counters this immune response by secreting the effector protein SDE3230, which hijacks an E3 ligase to mediate the ubiquitination and degradation of MyD88, thereby suppressing Toll signaling. Our findings define the Toll8-MyD88-IKKE-NFAT immune signaling axis in arthropods and highlight an intricate counter-defense strategy employed by pathogens for survival and propagation within insect vectors.
DOI: 10.17632/rr7cs26hbr
title: Interpretable Machine Learning Model for Predicting Hemorrhage Following Ultrasound-Guided Percutaneous Renal Biopsy: A Multicenter Study

description: Two center datasets on the presence of perirenal hematoma after ultrasound-guided renal biopsy.
DOI: 10.15468/dl.gv9ufq
title: Occurrence Download

description: A dataset containing 1150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Andorra",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Aegolius funereus, Circaetus gallicus, Dendrocoptes medius, Dryobates minor, Dryocopus martius, Ficedula hypoleuca, Phoenicurus phoenicurus, Sitta europaea, Tetrao urogallus)"
 ]
}

 The dataset includes 1150 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002046-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rr7cs26hbr.1
title: Interpretable Machine Learning Model for Predicting Hemorrhage Following Ultrasound-Guided Percutaneous Renal Biopsy: A Multicenter Study

description: Two center datasets on the presence of perirenal hematoma after ultrasound-guided renal biopsy.
DOI: 10.17632/jk4hmhvzdn
title: Biometrics Data of Silver Oak AVA One

description: raw data of Silver oak AVA One sample , including; DBH, H, component dry weights, C%
DOI: 10.17632/jk4hmhvzdn.1
title: Biometrics Data of Silver Oak AVA One

description: raw data of Silver oak AVA One sample , including; DBH, H, component dry weights, C%
DOI: 10.17632/g9rgyv53xt
title: Original TEM, EELS, and Micromagnetic simulation data for “Source of lunar magnetic anomalies: Magnetic vortex state of α-Fe in Chang’e-5 soil

description: Original TEM, EELS, and Micromagnetic simulation data for “Source of lunar magnetic anomalies: Magnetic vortex state of α-Fe in Chang’e-5 soil”
DOI: 10.17632/g9rgyv53xt.3
title: Original TEM, EELS, and Micromagnetic simulation data for “Source of lunar magnetic anomalies: Magnetic vortex state of α-Fe in Chang’e-5 soil

description: Original TEM, EELS, and Micromagnetic simulation data for “Source of lunar magnetic anomalies: Magnetic vortex state of α-Fe in Chang’e-5 soil”
DOI: 10.17632/7mx6tf6rbn
title: Enterprise Resource Planning-based Managerial Inventory Management for SMEs Industry

description: online data search to comply with reference material use for research manuscript
DOI: 10.17632/7mx6tf6rbn.1
title: Enterprise Resource Planning-based Managerial Inventory Management for SMEs Industry

description: online data search to comply with reference material use for research manuscript
DOI: 10.17632/yzbpwk2wnf
title: Career Path Recommendation Dataset for Senior High School based on MBTI personality type

description: Career path recommendation dataset is corpus of study program recommendation for senior high school students based on Myers-Briggs Type Indicator (MBTI) test. This dataset collected through Career Path website designed for senior high school students in Indonesia. It was collected from some senior high school in Jakarta and Tangerang, Indonesia. MBTI consist of 16 personality type, combination of Introvert(I), Extrovert(E), Sensing(S), Intuition(N), Thinking(T), Feeling(F), Judging(J), Perceiving(P). It consist of some fields including gender, grade, personality types, MBTI score, faculty recommendation based on subject grade and MBTI score.
DOI: 10.15468/dl.43z653
title: Occurrence Download

description: A dataset containing 771156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Ghana",
 "TaxonKey is Aves",
 "Year 2010-2025"
 ]
}

 The dataset includes 771156 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yzbpwk2wnf.1
title: Career Path Recommendation Dataset for Senior High School based on MBTI personality type

description: Career path recommendation dataset is corpus of study program recommendation for senior high school students based on Myers-Briggs Type Indicator (MBTI) test. This dataset collected through Career Path website designed for senior high school students in Indonesia. It was collected from some senior high school in Jakarta and Tangerang, Indonesia. MBTI consist of 16 personality type, combination of Introvert(I), Extrovert(E), Sensing(S), Intuition(N), Thinking(T), Feeling(F), Judging(J), Perceiving(P). It consist of some fields including gender, grade, personality types, MBTI score, faculty recommendation based on subject grade and MBTI score.
DOI: 10.17632/n8fhmkx3pc.1
title: Research data on thermal comfort of badminton players

description: The research data were collected in a naturally ventilated gymnasium of a university in Guangzhou, Guangdong Province, China, and obtained through a combination of on-site experimental equipment layout and subjective questionnaire surveys. The original data has been recorded in the corresponding data table. For further details of the study or more data, please contact the corresponding author: cezhplease get in touch with the corresponding author: cezhuchihui@gzhu.edu.cnuchihui@gzhu.edu.cn.
DOI: 10.17632/rzrm2gv85w
title: Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China’s ecosystems

description: We compiled a nationwide dataset of vascular-plant functional traits across China, covering 23,848 species and spanning major biomes and productivity gradients. Trait data include leaf area and maximum plant height as vegetative traits, and seed and fruit/cone size as reproductive traits, aggregated from multiple authoritative sources (TRY, PlantPlus, iPlant, BIEN, LEDA, GLOPNET, TOPIC). Species distributions were derived from literature records, herbarium specimens, and georeferenced trait databases, with quality control applied to coordinates and sampling bias. For each species, mean trait values were calculated from mature, healthy individuals at representative locations. This dataset enables large-scale analyses of plant functional variation in relation to environmental gradients across China.
DOI: 10.17632/rzrm2gv85w.1
title: Nonlinear biogeographic responses and threshold patterns in vegetative versus reproductive traits across China’s ecosystems

description: We compiled a nationwide dataset of vascular-plant functional traits across China, covering 23,848 species and spanning major biomes and productivity gradients. Trait data include leaf area and maximum plant height as vegetative traits, and seed and fruit/cone size as reproductive traits, aggregated from multiple authoritative sources (TRY, PlantPlus, iPlant, BIEN, LEDA, GLOPNET, TOPIC). Species distributions were derived from literature records, herbarium specimens, and georeferenced trait databases, with quality control applied to coordinates and sampling bias. For each species, mean trait values were calculated from mature, healthy individuals at representative locations. This dataset enables large-scale analyses of plant functional variation in relation to environmental gradients across China.
DOI: 10.17632/c95fsrm2g7
title: Data for: Effects of wave forcing on groundwater and solute transport in lakeshore zone

description: This data set contains experimental process recorded images, pressure data, and input files for the model used in the paper - Xuesong Ding, Xiayang Yu, Xinghua Xu, and Pei Xin (2025). Effects of wave forcing on groundwater and solute transport in lakeshore zone - submitted to Advances in Water Resources.
DOI: 10.5281/zenodo.17668723
title: CONDUCTOR - UC1 - ALMELO - SIMULATION OUTPUT

description: This dataset contains the simulation output from the SUMO simulation of Kolthofsingel Intersection in Almelo, where a Multi-Objective Reinforcement Learning (MORL) agent was designed to control the signal phases and cycle lengths. The dataset includes:



average and total waiting times

average and total emissions,

maximum waiting time per lane

signal status, and

signal switches.
DOI: 10.5281/zenodo.17668724
title: CONDUCTOR - UC1 - ALMELO - SIMULATION OUTPUT

description: This dataset contains the simulation output from the SUMO simulation of Kolthofsingel Intersection in Almelo, where a Multi-Objective Reinforcement Learning (MORL) agent was designed to control the signal phases and cycle lengths. The dataset includes:



average and total waiting times

average and total emissions,

maximum waiting time per lane

signal status, and

signal switches.
DOI: 10.17632/c95fsrm2g7.1
title: Data for: Effects of wave forcing on groundwater and solute transport in lakeshore zone

description: This data set contains experimental process recorded images, pressure data, and input files for the model used in the paper - Xuesong Ding, Xiayang Yu, Xinghua Xu, and Pei Xin (2025). Effects of wave forcing on groundwater and solute transport in lakeshore zone - submitted to Advances in Water Resources.
DOI: 10.17632/8pcvc99y33
title: 闪电

description: The accurate quantification of infiltration processes in cold regions is essential for predicting hydrological responses to climate change and developing effective water management strategies. Current infiltration models are developed for stable, temperate conditions and constant soil properties, which contrast sharply with the thermal and hydraulic conditions in freeze-thaw environments. This study proposed a Horton-RCCC formula specifically designed for the freeze-thaw environment in cold regions, which are achieved by several terms of innovation as follows. A large-size undisturbed soil sampling and restoration method to enable laboratory simulation of soil freeze-thaw processes. The soil freeze-thaw state is innovatively described using the ratio of current freeze-thaw depth to maximum freeze-thaw depth. The calculation equations for soil water initial infiltration rate and stable infiltration rate are developed, shifting from the traditional approach of using a single parameter set for entire watersheds and improving distributed characterization of soil infiltration capacity under varying underlying surface conditions. The Horton-RCCC formula is calibrated and validated in permafrost and seasonally frozen ground regions. In complete thawing stage, the Horton-RCCC formula demonstrates comparable accuracy with that of Horton equation on a condition of zero slope, and shows its advantage to calculation infiltration under sloped conditions. In freeze-thaw period, the Horton-RCCC formula effectively addresses the dynamics of underlying surface infiltration conditions, and shows a significant improvement in accuracy. This formula breaks away from the conventional research paradigm of directly applying infiltration formulas for temperate conditions, could stimulate improvements in hydrological modeling, water resource management and climate change adaptation in cold regions.
DOI: 10.17632/8pcvc99y33.1
title: 闪电

description: The accurate quantification of infiltration processes in cold regions is essential for predicting hydrological responses to climate change and developing effective water management strategies. Current infiltration models are developed for stable, temperate conditions and constant soil properties, which contrast sharply with the thermal and hydraulic conditions in freeze-thaw environments. This study proposed a Horton-RCCC formula specifically designed for the freeze-thaw environment in cold regions, which are achieved by several terms of innovation as follows. A large-size undisturbed soil sampling and restoration method to enable laboratory simulation of soil freeze-thaw processes. The soil freeze-thaw state is innovatively described using the ratio of current freeze-thaw depth to maximum freeze-thaw depth. The calculation equations for soil water initial infiltration rate and stable infiltration rate are developed, shifting from the traditional approach of using a single parameter set for entire watersheds and improving distributed characterization of soil infiltration capacity under varying underlying surface conditions. The Horton-RCCC formula is calibrated and validated in permafrost and seasonally frozen ground regions. In complete thawing stage, the Horton-RCCC formula demonstrates comparable accuracy with that of Horton equation on a condition of zero slope, and shows its advantage to calculation infiltration under sloped conditions. In freeze-thaw period, the Horton-RCCC formula effectively addresses the dynamics of underlying surface infiltration conditions, and shows a significant improvement in accuracy. This formula breaks away from the conventional research paradigm of directly applying infiltration formulas for temperate conditions, could stimulate improvements in hydrological modeling, water resource management and climate change adaptation in cold regions.
DOI: 10.17632/s9g65ht6hm.1
title: Psychochemical Pretreatment on Lesser-Known Shrub Biomass to Enhance Its Energy Content 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: 10.17632/2s57mvphb4
title: Kinetic isotope fractionation during crystal growth

description: Matlab code developed in our study, entitled "Kinetic isotope fractionation during crystal growth", submitted to Geochimica et Cosmochimica Acta
DOI: 10.17632/2s57mvphb4.2
title: Kinetic isotope fractionation during crystal growth

description: Matlab code developed in our study, entitled "Kinetic isotope fractionation during crystal growth", submitted to Geochimica et Cosmochimica Acta
DOI: 10.17632/2575n2xfvn
title: The dark side of environmental judicial specialization: Evidence from the corporate labor income share in China

description: Replication package contains both data and code.
DOI: 10.17632/2575n2xfvn.1
title: The dark side of environmental judicial specialization: Evidence from the corporate labor income share in China

description: Replication package contains both data and code.
DOI: 10.17632/3f8rfrx42h.1
title: Code _ China’s Technological Rise and Its Global Welfare Effects

description: Replication code of the project "China’s Technological Rise and Its Global Welfare Effects"
DOI: 10.17632/sd9kmcrxx4.1
title: Mathematics at the Core: Longitudinal Network Analysis of Executive Functions and Academic Performance in Chinese Children

description: After excluding individuals who failed to complete all assessments, the final valid sample at time-point 1 (T1) comprised 863 students (436 boys, 427 girls) aged 9–13 years (M = 10.43, SD = 1.19). The grade-specific breakdown at T1 was as follows: grade 3: 282 students (148 boys, 134 girls), M = 9.21 years (SD = 0.52); grade 4: 293 students (145 boys, 148 girls), M = 10.33 years (SD = 0.63); grade 5: 288 students (143 boys, 145 girls), M = 11.74 years (SD = 0.64). Six months later at time-point 2 (T2), 788 participants were successfully retested (393 boys, 395 girls), M = 10.93 years (SD = 1.18).