cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/344hxx5rkf
title: TGTomato-Balanced: A Class-Balanced Derivative Dataset for Truss Tomato Detection

description: TGTomato-Balanced is a class-balanced derivative dataset designed for truss tomato fruit detection and classification in precision agriculture applications. This dataset addresses critical class imbalance issues present in the original "2022 Dataset of String Tomato in Shanxi Nonggu Tomato Town" (Science Data Bank, CSTR:31253.11.sciencedb.05228) through targeted data augmentation and sampling strategies.

KEY FEATURES:
- Total of 4,505 images (3,665 original + augmented samples)
- Three categories: mature tomato, stem, and raw (green) tomato
- YOLO format annotations with bounding boxes
- High-resolution images: 2736×3648 to 3000×4000 pixels
- Balanced class distribution 
- Split ratio: 8:1:1 (train/val/test)

MODIFICATIONS FROM ORIGINAL DATASET:
1. Data augmentation applied to minority class (raw tomatoes): random saturation, brightness, contrast adjustments, Gaussian noise, horizontal flipping, and Gaussian blurring
2. Downsampling of majority class (removed 302 images from mature-only subset)
3. Enhanced dataset distribution: Train (3603), Val (451), Test (451)

DATA COLLECTION (Original Dataset):
- Location: Gezitou Village, Taigu District, Shanxi Province, China
- Period: July-August 2022
- Conditions: Natural sunlight, sunny/overcast, morning to dusk
- Devices: iPhone 13 Pro Max, Huawei P30/Nova 5z, OPPO A91
- Viewing angles: 10°, 45°, 90°, 135°, 170°, plus top-down and forward/backward views

USE CASES:
- Object detection model training (YOLO, Faster R-CNN)
- Tomato maturity classification
- Agricultural robotics and automated harvesting
- Computer vision research in precision agriculture
- Class imbalance handling studies

LICENSE: CC BY 4.0 (same as original dataset)

CITATION REQUIREMENT: Users must cite BOTH this derivative dataset and the original dataset (Song Guo Zhu, SHI Yan, Wang Jian, et al., 2023).

This derivative work maintains full compliance with CC BY 4.0 license terms, providing appropriate attribution to the original dataset creators and clearly documenting all modifications made.

File structure includes: images/ (train/val/test), labels/ (train/val/test), classes.txt, and comprehensive README documentation.
DOI: 10.17632/344hxx5rkf.1
title: TGTomato-Balanced: A Class-Balanced Derivative Dataset for Truss Tomato Detection

description: TGTomato-Balanced is a class-balanced derivative dataset designed for truss tomato fruit detection and classification in precision agriculture applications. This dataset addresses critical class imbalance issues present in the original "2022 Dataset of String Tomato in Shanxi Nonggu Tomato Town" (Science Data Bank, CSTR:31253.11.sciencedb.05228) through targeted data augmentation and sampling strategies.

KEY FEATURES:
- Total of 4,505 images (3,665 original + augmented samples)
- Three categories: mature tomato, stem, and raw (green) tomato
- YOLO format annotations with bounding boxes
- High-resolution images: 2736×3648 to 3000×4000 pixels
- Balanced class distribution 
- Split ratio: 8:1:1 (train/val/test)

MODIFICATIONS FROM ORIGINAL DATASET:
1. Data augmentation applied to minority class (raw tomatoes): random saturation, brightness, contrast adjustments, Gaussian noise, horizontal flipping, and Gaussian blurring
2. Downsampling of majority class (removed 302 images from mature-only subset)
3. Enhanced dataset distribution: Train (3603), Val (451), Test (451)

DATA COLLECTION (Original Dataset):
- Location: Gezitou Village, Taigu District, Shanxi Province, China
- Period: July-August 2022
- Conditions: Natural sunlight, sunny/overcast, morning to dusk
- Devices: iPhone 13 Pro Max, Huawei P30/Nova 5z, OPPO A91
- Viewing angles: 10°, 45°, 90°, 135°, 170°, plus top-down and forward/backward views

USE CASES:
- Object detection model training (YOLO, Faster R-CNN)
- Tomato maturity classification
- Agricultural robotics and automated harvesting
- Computer vision research in precision agriculture
- Class imbalance handling studies

LICENSE: CC BY 4.0 (same as original dataset)

CITATION REQUIREMENT: Users must cite BOTH this derivative dataset and the original dataset (Song Guo Zhu, SHI Yan, Wang Jian, et al., 2023).

This derivative work maintains full compliance with CC BY 4.0 license terms, providing appropriate attribution to the original dataset creators and clearly documenting all modifications made.

File structure includes: images/ (train/val/test), labels/ (train/val/test), classes.txt, and comprehensive README documentation.
DOI: 10.15468/8k9cad
title: A new species of planthopper from Costa Rica in the genus Herpis (Hemiptera: Derbidae) from palms in the cloud forest

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zumbado Echavarria, Marco A., Barrantes Barrantes, Edwin A., Helmick, Ericka E., Bartlett, Charles R., Bahder, Brian W. (2023): A new species of planthopper from Costa Rica in the genus Herpis (Hemiptera: Derbidae) from palms in the cloud forest. Zootaxa 5254 (3): 357-369, DOI: 10.11646/zootaxa.5254.3.3, URL: http://dx.doi.org/10.11646/zootaxa.5254.3.3AbstractRecent survey efforts in Costa Rica have documented many new species of planthoppers, primarily in the families Derbidae and Cixiidae, on palms. Recently, a specimen was collected sweeping palms in the Los Angeles cloud forest in Costa Rica and was identified as belonging to the genus Herpis (Derbidae). It was subsequently determined to represent a previously undescribed species. Herein, the new species, Herpis circumsoros Bahder & Bartlett sp. n. is described with supplemental molecular data for the cytochrome c oxidase subunit I (COI) gene and 18S rRNA gene to support placement of the new species in the genus Herpis.
DOI: 10.17632/hyx6sctwm6
title: DATA

description: DATA FOR MAINTEXT(ISCIENCE)-Biosynthesis of polyamine–polyphosphate granules for colitis alleviation
DOI: 10.17632/hyx6sctwm6.1
title: DATA

description: DATA FOR MAINTEXT(ISCIENCE)-Biosynthesis of polyamine–polyphosphate granules for colitis alleviation
DOI: 10.17632/z52n5dnbxk
title: Soto-Pinedo DataSet

description: Esta investigación se desarrolla tomando como punto de partida el fill rate, al considerarse el indicador que sintetiza de manera más representativa el desempeño logístico de un centro de distribución de consumo masivo, ya que refleja la capacidad real del sistema para cumplir los pedidos completos y a tiempo. La hipótesis de investigación plantea que el fill rate puede mejorar de manera significativa cuando se intervienen, de forma integrada, los procesos que lo determinan, mediante la combinación de herramientas de Ingeniería de Métodos y tecnologías asociadas a la Industria 4.0, aplicadas de manera progresiva y sin necesidad de grandes inversiones estructurales.
Los datos analizados corresponden a información operativa histórica del centro de distribución, incluyendo registros de fill rate, desbalances entre inventario físico y sistema, tiempos de recepción, errores de picking y tiempos de preparación de pedidos. Estos datos fueron recopilados a partir de los sistemas de gestión logística y de los registros operativos internos, luego depurados y estructurados para su análisis. Con esta base, se desarrollaron modelos de simulación que permitieron comparar el comportamiento del sistema en un escenario actual y en un escenario mejorado, evaluados a lo largo de 300 días operativos simulados. Los procesos físicos y logísticos fueron modelados mediante simulación en ARENA, mientras que los procesos de secuenciación del picking se modelaron utilizando simulaciones en ARENA y algoritmos de machine learning entrenados con datos históricos.
Los resultados muestran que el fill rate está directamente condicionado por la exactitud del inventario, la eficiencia del proceso de recepción y la confiabilidad del picking. La estandarización del registro de inventarios redujo los desbalances entre inventario físico y sistema en aproximadamente un 49%, lo que mejoró la confiabilidad de la información disponible para la preparación de pedidos. La implementación de un sistema de Kanban digital en la recepción permitió reducir el tiempo promedio de atención en cerca de 27%, mejorando la visibilidad operativa y asegurando una reposición más oportuna de productos. En el proceso de picking, la aplicación de la técnica de slotting disminuyó el error de preparación en aproximadamente un 39.7%, mientras que la secuenciación inteligente basada en machine learning redujo el incumplimiento en la preparación de pedidos en alrededor de 26.3%, al priorizar dinámicamente las órdenes según urgencia y carga operativa.
DOI: 10.17632/z52n5dnbxk.1
title: Soto-Pinedo DataSet

description: Esta investigación se desarrolla tomando como punto de partida el fill rate, al considerarse el indicador que sintetiza de manera más representativa el desempeño logístico de un centro de distribución de consumo masivo, ya que refleja la capacidad real del sistema para cumplir los pedidos completos y a tiempo. La hipótesis de investigación plantea que el fill rate puede mejorar de manera significativa cuando se intervienen, de forma integrada, los procesos que lo determinan, mediante la combinación de herramientas de Ingeniería de Métodos y tecnologías asociadas a la Industria 4.0, aplicadas de manera progresiva y sin necesidad de grandes inversiones estructurales.
Los datos analizados corresponden a información operativa histórica del centro de distribución, incluyendo registros de fill rate, desbalances entre inventario físico y sistema, tiempos de recepción, errores de picking y tiempos de preparación de pedidos. Estos datos fueron recopilados a partir de los sistemas de gestión logística y de los registros operativos internos, luego depurados y estructurados para su análisis. Con esta base, se desarrollaron modelos de simulación que permitieron comparar el comportamiento del sistema en un escenario actual y en un escenario mejorado, evaluados a lo largo de 300 días operativos simulados. Los procesos físicos y logísticos fueron modelados mediante simulación en ARENA, mientras que los procesos de secuenciación del picking se modelaron utilizando simulaciones en ARENA y algoritmos de machine learning entrenados con datos históricos.
Los resultados muestran que el fill rate está directamente condicionado por la exactitud del inventario, la eficiencia del proceso de recepción y la confiabilidad del picking. La estandarización del registro de inventarios redujo los desbalances entre inventario físico y sistema en aproximadamente un 49%, lo que mejoró la confiabilidad de la información disponible para la preparación de pedidos. La implementación de un sistema de Kanban digital en la recepción permitió reducir el tiempo promedio de atención en cerca de 27%, mejorando la visibilidad operativa y asegurando una reposición más oportuna de productos. En el proceso de picking, la aplicación de la técnica de slotting disminuyó el error de preparación en aproximadamente un 39.7%, mientras que la secuenciación inteligente basada en machine learning redujo el incumplimiento en la preparación de pedidos en alrededor de 26.3%, al priorizar dinámicamente las órdenes según urgencia y carga operativa.
DOI: 10.17632/28jv4d9jms
title: Data of the Yuanjiang profile

description: Data of the Yuanjiang profile
DOI: 10.15468/v7xpg6
title: A new species of silverfish of the genus Persiatelurina Molero et al. (Zygentoma: Nicoletiidae) from Daghestan

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kaplin, V. G., Vasin, V. G. (2019): A new species of silverfish of the genus Persiatelurina Molero et al. (Zygentoma: Nicoletiidae) from Daghestan. Zoosystematica Rossica (Zoosyst. Rossica) 28 (1): 88-93, DOI: 10.31610/zsr/2019.28.1.88, URL: http://dx.doi.org/10.31610/zsr/2019.28.1.88Abstract. A new species of silverfish, Persiatelurina daghestaniana Kaplin, sp. nov., is described from Daghestan. It differs from other species of this genus, P. caucasica (Kaplin, 2016) from Abkhazia and P. farsiana Molero et al., 2018 from Southwestern Iran, by the structure of the legs, maxillae, maxillary and labial palps, pronotum, urotergite X, urosternites II and VII, urocoxites VIII and IX, subgenital plate, and ovipositor.Резюме. Описан новый вид щетинохвосток Persiatelurina daghestaniana Kaplin, sp. nov. из Дагестана. Он отличается от других видов этого рода – P. caucasica (Kaplin, 2016) из Абхазии и P. farsiana Molero et al., 2018 из Юго-Западного Ирана – строением ног, нижних челюстей, нижнечелюстных и нижнегубных щупиков, переднеспинки, тергита Х, стернитов II и VII, кокситов VIII и IX сегментов брюшка, субгенитальной пластинки и яйцеклада.
DOI: 10.17632/28jv4d9jms.1
title: Data of the Yuanjiang profile

description: Data of the Yuanjiang profile
DOI: 10.17632/p2gcy7x7sd
title: Synthetic Population for Île-de-France

description: Synthetic populations are essential for agent-based simulations, enabling applications in transport modelling, land-use planning, energy consumption analysis, and beyond. A key challenge lies in learning the underlying distribution from limited dataset to generate a larger, representative datasets. While numerous methods have been proposed, we note the lack of open-source, large-scale datasets. To address this gap, we propose this open-source and large-scale synthetic population dataset, at both the individual and household levels. These datasets are derived from the French census data, amde by the French Institute of Statistics (INSEE) and publicly available.

This dataset supports reproducible research, facilitates benchmarking, and is helpful for model selection in with limited data scenarios.

Data processing is available at this Git reposetory: https://github.com/vdarsel/French_Census_Data_Processing
DOI: 10.17632/p2gcy7x7sd.3
title: Synthetic Population for Île-de-France

description: Synthetic populations are essential for agent-based simulations, enabling applications in transport modelling, land-use planning, energy consumption analysis, and beyond. A key challenge lies in learning the underlying distribution from limited dataset to generate a larger, representative datasets. While numerous methods have been proposed, we note the lack of open-source, large-scale datasets. To address this gap, we propose this open-source and large-scale synthetic population dataset, at both the individual and household levels. These datasets are derived from the French census data, amde by the French Institute of Statistics (INSEE) and publicly available.

This dataset supports reproducible research, facilitates benchmarking, and is helpful for model selection in with limited data scenarios.

Data processing is available at this Git reposetory: https://github.com/vdarsel/French_Census_Data_Processing
DOI: 10.5281/zenodo.18050826
title: Supplementary Fires for "Quality matters: a comparison of raw and refined data of Precambrian mafic volcanic rocks"

description: Raw dataset of mafic volcanic rocks: geochemical dataset of Precambrian mafic volcanic rocks compiled from the EarthChem repository (http://www.earthchem.org/; accessed June 11, 2021).

Refined dataset of mafic volcanic rocks: geochemical dataset of refined Precambrian mafic volcanic rocks.
DOI: 10.17632/ssz84c3k5g
title: Virtual screening of small molecules as potential inhibitors of NAT10 for the treatment of colon cancer

description: Raw data for the manuscript
DOI: 10.17632/ssz84c3k5g.1
title: Virtual screening of small molecules as potential inhibitors of NAT10 for the treatment of colon cancer

description: Raw data for the manuscript
DOI: 10.17632/skhfw9y4k5
title: Lidong Date3

description: The data includes land use data, sloping farmland data, water conservation function, soil conservation function, carbon sequestration function, and their influencing factors data in the Three Gorges Reservoir area.
DOI: 10.17632/skhfw9y4k5.1
title: Lidong Date3

description: The data includes land use data, sloping farmland data, water conservation function, soil conservation function, carbon sequestration function, and their influencing factors data in the Three Gorges Reservoir area.
DOI: 10.15468/w35urt
title: A new species of genus Hyphydrus Illiger (Coleoptera: Dytiscidae: Hyphydrini) from Arunachal Pradesh, India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ghosh, Sujit Kumar (2021): A new species of genus Hyphydrus Illiger (Coleoptera: Dytiscidae: Hyphydrini) from Arunachal Pradesh, India. Records of the Zoological Survey of India 121 (4): 441-445, DOI: 10.26515/rzsi/v121/i4/2021/166103AbstractHyphydrus biswasi Ghosh, sp. nov. (Coleoptera: Dytiscidae: Hyphydrini), is described in H. signatus species group from Namdapha National Park, Arunachal Pradesh, India. An identification key to the Indian species of genus Hyphydrus Illiger, is also provided.
DOI: 10.17632/rt8sv9t445.2
title: S2RMCMD

description: it is a plant disease dataset of sugarcane and rice crops. it consist of 16 sugarcane crops disease and 4 rice crops disease.
DOI: 10.15468/59w3bv
title: Extended description and taxonomic notes on two recently rediscovered Myrcia (Myrtaceae) in the Brazilian Atlantic Forest

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fernandes, Thiago, Lucas, Eve J., Vasconcelos, Thais Nogales, Braga, João Marcelo Alvarenga (2025): Extended description and taxonomic notes on two recently rediscovered Myrcia (Myrtaceae) in the Brazilian Atlantic Forest. Rodriguesia (e 00292024) 76: 1-12, DOI: 10.1590/2175-, URL: http://dx.doi.org/10.6084/m9.figshare.1538646.v1AbstractIn this paper, we present comprehensive data on two endemic and threatened species of Myrcia (Myrtaceae) from the Brazilian Atlantic Forest. Both belong to Myrcia sect. Aulomyrcia and were previously known only from a few collections made in the state of Rio de Janeiro.Apart from the type specimens and our recent collections, each species has been recollected on only three occasions. Considering the last collections of each species, Myrcia colpodes was rediscovered by our team after a collection gap of 64 years, while M. rubiginosa was found after 16 years. Myrcia colpodes can be recognized by vinaceous, exfoliating bark on the trunk, strongly bullate leaves and relatively long, glabrous panicles. Myrcia rubiginosa is characterized by fissured, greyish-brown bark on the trunk, conspicuous brownish and tomentose indumentum on young leaves and inflorescences, and pendular panicles with relatively small flowers. Data provided here include updated morphological descriptions for the taxa, along with notes on their morphological affinities and geographic distribution. Their fruits are here described and illustrated for the first time.
DOI: 10.17632/5555cvmmgb.2
title: PSMCMD

description: It is a dataset of papaya-sugarcane dataset.
DOI: 10.17632/5dvrw3gp8h
title: Prevalence of hidradenitis suppurativa in pilonidal disease: A cross-sectional study

description: Supplementary data for hidradenitis suppurativa in pilonidal disease study
DOI: 10.17632/5dvrw3gp8h.1
title: Prevalence of hidradenitis suppurativa in pilonidal disease: A cross-sectional study

description: Supplementary data for hidradenitis suppurativa in pilonidal disease study
DOI: 10.17632/7mwxntg3nw
title: Analysis code for: The association between mixed exposure to EDCs and OSAS (NHANES 2015-2018)

description: This dataset contains the data processing and analysis code for the manuscript titled ‘The association between mixed exposure to endocrine-disrupting chemicals (EDCs) and obstructive sleep apnea syndrome (OSAS)’. The study is based on publicly available data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 cycles. The provided code can be used to reproduce the main findings, including descriptive statistics, logistic regression, and mixture models (WQS, QGComp, BKMR).
DOI: 10.17632/7mwxntg3nw.1
title: Analysis code for: The association between mixed exposure to EDCs and OSAS (NHANES 2015-2018)

description: This dataset contains the data processing and analysis code for the manuscript titled ‘The association between mixed exposure to endocrine-disrupting chemicals (EDCs) and obstructive sleep apnea syndrome (OSAS)’. The study is based on publicly available data from the National Health and Nutrition Examination Survey (NHANES) 2015-2018 cycles. The provided code can be used to reproduce the main findings, including descriptive statistics, logistic regression, and mixture models (WQS, QGComp, BKMR).
DOI: 10.17632/zmzywny59b
title: Indonesian Earthquake Catalog (BMKG), 1998–2024

description: This dataset contains the official Indonesian earthquake catalog compiled and maintained by the Badan Meteorologi, Klimatologi, and Geofisika (BMKG).
The catalog includes earthquake hypocenter locations, magnitudes, origin times, and associated metadata for seismic events recorded within the Indonesian region from 1998 to 2024.
This dataset is an official institutional product of BMKG and is intended to support seismic hazard analysis, tectonic studies, and earthquake-related research.
DOI: 10.17632/zmzywny59b.1
title: Indonesian Earthquake Catalog (BMKG), 1998–2024

description: This dataset contains the official Indonesian earthquake catalog compiled and maintained by the Badan Meteorologi, Klimatologi, and Geofisika (BMKG).
The catalog includes earthquake hypocenter locations, magnitudes, origin times, and associated metadata for seismic events recorded within the Indonesian region from 1998 to 2024.
This dataset is an official institutional product of BMKG and is intended to support seismic hazard analysis, tectonic studies, and earthquake-related research.
DOI: 10.15468/9v6q8u
title: A new fossil frog (Lissamphibia: Anura) from the Late Cretaceous of Brazil and the early evolution of neobatrachians

description: This dataset contains the digitized treatments in Plazi based on the original journal article Santos, Rodolfo Otávio, Carvalho, Alberto B., Zaher, Hussam (2023): A new fossil frog (Lissamphibia: Anura) from the Late Cretaceous of Brazil and the early evolution of neobatrachians. Zoological Journal of the Linnean Society 202 (1): 1-29, DOI: 10.1093/zoolinnean/zlad167, URL: https://doi.org/10.1093/zoolinnean/zlad167
DOI: 10.17632/j7gdhx6pyd
title: A Low-Cost, Moldable Gel Pad for Dermatologic Ultrasound

description: Video 1. Demonstration of homemade gel pad preparation using water, isopropyl alcohol, gelatin, and glycerin, followed by its use in dermatologic ultrasound.
DOI: 10.17632/j7gdhx6pyd.1
title: A Low-Cost, Moldable Gel Pad for Dermatologic Ultrasound

description: Video 1. Demonstration of homemade gel pad preparation using water, isopropyl alcohol, gelatin, and glycerin, followed by its use in dermatologic ultrasound.
DOI: 10.17632/cjtp3bcz8y
title: Supervisor Bottom-line Mentality and Employees' Career Sustainability
DOI: 10.17632/cjtp3bcz8y.2
title: Supervisor Bottom-line Mentality and Employees' Career Sustainability