cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.33655
title: SOPHIAS Dataset
title: SOPHIAS Dataset

description: Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce. To address this gap, we present SOPHIAS (Student Oral Presentation monitoring for Holistic Insights & Analytics using Sensors), a multimodal dataset containing recordings of 50 oral presentations (10-minute presentation followed by 5-minute Q&A) delivered by 65 undergraduate and master’s students at the Universidad Autónoma de Madrid. SOPHIAS integrates nine synchronized sensor streams from high-definition webcams, ambient and webcam audio, eye-tracking glasses, smartwatch physiological sensors, and clicker/keyboard/mouse interactions. In addition, the dataset includes slides and rubric-based evaluations from teachers, peers, and self-assessments, along with timestamped contextual annotations. The dataset captures presentations conducted in real classroom settings, preserving authentic student behaviors, interactions, and physiological responses. SOPHIAS enables the exploration of relationships between multimodal behavioral and physiological signals and presentation performance, supports the study of peer assessment, and provides a benchmark for developing automated feedback and Multimodal Learning Analytics tools.The dataset is distributed in two .zip files, each containing 25 presentations. Additionally, example.zip is provided with a sample presentation.
description: Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce. To address this gap, we present SOPHIAS (Student Oral Presentation monitoring for Holistic Insights & Analytics using Sensors), a multimodal dataset containing recordings of 50 oral presentations (10-minute presentation followed by 5-minute Q&A) delivered by 65 undergraduate and master’s students at the Universidad Autónoma de Madrid. SOPHIAS integrates nine synchronized sensor streams from high-definition webcams, ambient and webcam audio, eye-tracking glasses, smartwatch physiological sensors, and clicker/keyboard/mouse interactions. In addition, the dataset includes slides and rubric-based evaluations from teachers, peers, and self-assessments, along with timestamped contextual annotations. The dataset captures presentations conducted in real classroom settings, preserving authentic student behaviors, interactions, and physiological responses. SOPHIAS enables the exploration of relationships between multimodal behavioral and physiological signals and presentation performance, supports the study of peer assessment, and provides a benchmark for developing automated feedback and Multimodal Learning Analytics tools.The dataset is distributed in two .zip files, each containing 25 presentations. Additionally, example.zip is provided with a sample presentation.
DOI: 10.15468/bphyf3
title: First record of Xyleborus bispinatus (Coleoptera: Curculionidae, Scolytinae) and evidence of stable populations in the Iberian Peninsula

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gallego, Diego, Sora, Nicolò Di, Molina, Noelia, Gonzalez-Rosa, Eudaldo, Mas, Hugo, Knížek, Miloš (2022): First record of Xyleborus bispinatus (Coleoptera: Curculionidae, Scolytinae) and evidence of stable populations in the Iberian Peninsula. Zootaxa 5174 (2): 157-164, DOI: 10.11646/zootaxa.5174.2.2AbstractWe present the first record of the tropical ambrosia beetle Xyleborus bispinatus in the Iberian Peninsula, collected in traps located in Murcia, Alicante and Valencia provinces (Spain). Insects have been captured in baited traps of longtime trapping networks (ESFP, MUFFET, RAT and SAMFIX) installed in Eastern Spain. Several individuals (410) of X. bispinatus have been collected in seven locations, first in 2009 in Murcia Region, and from 2018 to 2021 in Valencia Region. No attacks by X. bispinatus have been detected on plants thus far, and therefore the host plant in Spain remains unknown. Stable X. bispinatus populations have been detected in a wide area of central Valencian province. We may consider this as an alarming scenario that should be kept under surveillance by maintaining the current trapping network and intensifying the search for the host plants.
DOI: 10.57760/sciencedb.34120
title: training_samples_zarr_multiscale_soil_v11.9
title: training_samples_zarr_multiscale_soil_v11.9

description: The dataset used in the crop yield prediction model (covering the contiguous United States) integrates NDVI, ERA5 meteorological data, and soil moisture data. It calculates indicators including monthly average temperature, monthly total precipitation, downward shortwave radiation, accumulated temperature, number of heat stress days, number of extreme rainfall days, length of drought periods, surface soil moisture (0–7 cm), and subsurface soil moisture (7–28 cm). For each indicator, three resolution channels are computed and stored to provide the model with a multi-scale receptive field.
description: The dataset used in the crop yield prediction model (covering the contiguous United States) integrates NDVI, ERA5 meteorological data, and soil moisture data. It calculates indicators including monthly average temperature, monthly total precipitation, downward shortwave radiation, accumulated temperature, number of heat stress days, number of extreme rainfall days, length of drought periods, surface soil moisture (0–7 cm), and subsurface soil moisture (7–28 cm). For each indicator, three resolution channels are computed and stored to provide the model with a multi-scale receptive field.
DOI: 10.15468/nm7umh
title: A new diatom (Bacillariophyta) species from Indonesian urban areas, description of Microcostatus labrisicus sp. nov.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Mateusz, Rybak, Natalia, Kochman-Kędziora, Muzaky, Luthfi Oktiyas (2022): A new diatom (Bacillariophyta) species from Indonesian urban areas, description of Microcostatus labrisicus sp. nov. Phytotaxa 555 (1): 87-94, DOI: 10.11646/phytotaxa.555.1.6, URL: http://dx.doi.org/10.11646/phytotaxa.555.1.6AbstractMicrocostatus labrisicus sp. nov., a terrestrial species, is described from mosses growing on concrete flower beds in Gaharu Park (Sambas city, Borneo Island). Its morphology was studied with light and scanning electron microscopy revealed a set of unique morphological features. The new species differs from all other Microcostatus species by having an unusual arrangement of longitudinal depressions, positioned on both sides of sternum. They are separated by thickened fascia with the shape of a symmetric double-headed axe. A detailed morphological comparison taxa with similar morphological characteristics and additional information on the associated diatom flora is also provided.
DOI: 10.57760/sciencedb.34116
title: 电厂设备知识图谱
title: 电厂设备知识图谱

description: 这是一个来自中国西北某电厂汽轮机组设备部件的知识图谱
description: 这是一个来自中国西北某电厂汽轮机组设备部件的知识图谱
DOI: 10.57760/sciencedb.33766
title: Genome assembly of Araneus ventricosus
title: Genome assembly of Araneus ventricosus

description: Genome assembly was performed using hifiasm, based on ccs data.
description: Genome assembly was performed using hifiasm, based on ccs data.
DOI: 10.15468/vkbajy
title: A New Species of Byrrhinus Motschulsky (Coleoptera: Limnichidae) from Côte D'Ivoire

description: This dataset contains the digitized treatments in Plazi based on the original journal article Matsumoto, Keita (2021): A New Species of Byrrhinus Motschulsky (Coleoptera: Limnichidae) from Côte D'Ivoire. The Coleopterists Bulletin 75 (1): 56-58, DOI: 10.1649/0010-065X-75.1.56, URL: http://dx.doi.org/10.1649/0010-065x-75.1.56ABSTRACTA new species of Byrrhinus Motschulsky, 1858 (Coleoptera: Limnichidae) from Côte d’ Ivoire is described: Byrrhinus confoveorum Matsumoto, new species. Photographs illustrating relevant morphological characters to distinguish this species are provided.Keywords: taxonomy, marsh-loving beetle, Afrotropical Region, ByrrhoideaDOI.org/ 10.1649/0010-065X-75.1.56 Zoobank.org/ urn:lsid:zoobank.org:pub: 931691E8-2166-4BA8-A5F3-3FCDBB8411D8
DOI: 10.57760/sciencedb.33529
title: Data for a meta-analysis on prosocial behavior in left-behind children
title: Data for a meta-analysis on prosocial behavior in left-behind children

description: This dataset contains a codebook as well as extracted and coded information from published studies used in a meta-analysis on prosocial behavior in left-behind children. The data include study-level characteristics and summary statistics for research synthesis purposes.This dataset represents a preliminary version prepared for manuscript submission and peer review purposes. The dataset may be updated following the review process.
description: This dataset contains a codebook as well as extracted and coded information from published studies used in a meta-analysis on prosocial behavior in left-behind children. The data include study-level characteristics and summary statistics for research synthesis purposes.This dataset represents a preliminary version prepared for manuscript submission and peer review purposes. The dataset may be updated following the review process.
DOI: 10.57760/sciencedb.34049
title: Structural Equation Model and System Dynamics Experimental Data for Air Freight in the Beijing-Tianjin-Hebei Region
title: Structural Equation Model and System Dynamics Experimental Data for Air Freight in the Beijing-Tianjin-Hebei Region

description: Dataset for Simulating the Collaborative Development of Air Freight in the Beijing-Tianjin-Hebei Region
description: Dataset for Simulating the Collaborative Development of Air Freight in the Beijing-Tianjin-Hebei Region
DOI: 10.15468/aduzme
title: Lopesiodinia alvarengai Prado, 1973 (Odiniidae: Traginopinae) with the first description of the male and the neotype designation

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tôrres, Alice, Rafael, José A., Gaimari, Stephen D., Limeira-De-Oliveira, Francisco (2024): Lopesiodinia alvarengai Prado, 1973 (Odiniidae: Traginopinae) with the first description of the male and the neotype designation. Zootaxa 5405 (3): 433-440, DOI: 10.11646/zootaxa.5405.3.6, URL: http://dx.doi.org/10.11646/zootaxa.5405.3.6AbstractThe type specimen of Lopesiodinia alvarengai Prado is lost. It is being redescribed and illustrated based on specimens from the type locality (Jacareacanga, Pará, Brazil) and the neotype is here designated with the purpose of clarifying the taxonomic status and objectively securing stability of nomenclature.
DOI: 10.57760/sciencedb.31077
title: CCAV-10m: An Annual Spatiotemporal China's Coastal Wetland Vegetation Dataset Integrating Sentinel-1/2 Observations via Deep Learning
title: CCAV-10m: An Annual Spatiotemporal China's Coastal Wetland Vegetation Dataset Integrating Sentinel-1/2 Observations via Deep Learning

description: CCAV-10m represents the spatiotemporal distribution of major coastal wetland vegetation types along eastern China from 2016 to 2023. The dataset is derived from multi-source remote sensing imagery of Sentinel-1 SAR and Sentinel-2 MSI, integrating optical and radar information through a deep learning–based classification framework. CCAV-10m covers the entire eastern coastal zone of China at a spatial resolution of 10 m × 10 m and an annual temporal resolution, comprising eight yearly maps (2016–2023). It distinguishes six dominant coastal wetland plant types: S. alterniflora, Suaeda spp., P. australis, S. mariqueter, mangroves, and T. chinensis. Model validation indicates a high classification accuracy, with an overall accuracy (OA) of 0.916 and a Kappa coefficient of 0.898, demonstrating stable and reliable species discrimination across years. Each annual product is provided in GeoTIFF raster format with spatial reference information and vegetation classification results, compatible with common GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., Google Earth Engine). File names follow the convention CCAV-10m_YYYY.tif, where YYYY denotes the year. The dataset provides a high-precision foundation for species distribution analysis, community succession studies, blue carbon assessment, and invasive species management in coastal wetlands.
description: CCAV-10m represents the spatiotemporal distribution of major coastal wetland vegetation types along eastern China from 2016 to 2023. The dataset is derived from multi-source remote sensing imagery of Sentinel-1 SAR and Sentinel-2 MSI, integrating optical and radar information through a deep learning–based classification framework. CCAV-10m covers the entire eastern coastal zone of China at a spatial resolution of 10 m × 10 m and an annual temporal resolution, comprising eight yearly maps (2016–2023). It distinguishes six dominant coastal wetland plant types: S. alterniflora, Suaeda spp., P. australis, S. mariqueter, mangroves, and T. chinensis. Model validation indicates a high classification accuracy, with an overall accuracy (OA) of 0.916 and a Kappa coefficient of 0.898, demonstrating stable and reliable species discrimination across years. Each annual product is provided in GeoTIFF raster format with spatial reference information and vegetation classification results, compatible with common GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., Google Earth Engine). File names follow the convention CCAV-10m_YYYY.tif, where YYYY denotes the year. The dataset provides a high-precision foundation for species distribution analysis, community succession studies, blue carbon assessment, and invasive species management in coastal wetlands.
DOI: 10.15468/v9uth9
title: Lectotypification of Andropogon hackelii (Poaceae: Andropogoneae) and its correct identification in India

description: This dataset contains the digitized treatments in Plazi based on the original journal article Landge, Shahid Nawaz, Shinde, Rajendra D. (2022): Lectotypification of Andropogon hackelii (Poaceae: Andropogoneae) and its correct identification in India. Phytotaxa 564 (2): 273-276, DOI: 10.11646/phytotaxa.564.2.11
DOI: 10.15468/vuau6z
title: Rhynchospio aciliata sp. nov., a new spionid species (Annelida, Spionidae) from the Korea Strait

description: This dataset contains the digitized treatments in Plazi based on the original journal article Lee, Geon Hyeok, Min, Gi-Sik (2022): Rhynchospio aciliata sp. nov., a new spionid species (Annelida, Spionidae) from the Korea Strait. ZooKeys 1100: 191-205, DOI: http://dx.doi.org/10.3897/zookeys.1100.80077, URL: http://dx.doi.org/10.3897/zookeys.1100.80077
DOI: 10.15468/7wsx24
title: Rattail fescue (VulpiO myuros) interference and seed production as affected by sowing time and crop density in winter wheat

description: This dataset contains the digitized treatments in Plazi based on the original journal article Akhter, Muhammad Javaid, Kudsk, Per, Mathiassen, Solvejg Kopp, Melander, Bo (2021): Rattail fescue (VulpiO myuros) interference and seed production as affected by sowing time and crop density in winter wheat. Weed Science (Cambridge, England) 69 (1): 52-61, DOI: 10.1017/wsc.2020.84, URL: http://dx.doi.org/10.1017/wsc.2020.84Abstract Field experiments were conducted in the growing seasons of 2017 to 2018 and 2018 to 2019 to evaluate the competitive effects of rattail fescue [Vulpia myuros (L.) C. C. Gmel.] in winter wheat (Triticum aestivum L.) and to assess whether delayed crop sowing and increased crop density influence the emergence, competitiveness, and fecundity of V. myuros. Cumulative emergence showed the potential of V. myuros to emerge rapidly and under a wide range of climatic conditions with no effect of crop density and variable effects of sowing time between the two experiments. Grain yield and yield components were negatively affected by increasing V. myuros density. The relationship between grain yield and V. myuros density was not influenced by sowing time or by crop density, but crop–weed competition was strongly influenced by growing conditions. Due to very different weather conditions, grain yield reductions were lower in the growing season of 2017 to 2018 than in 2018 to 2019, with maximum grain yield losses of 22% and 50% in the two growing seasons, respectively. The yield components, number of crop ears per square meter, and 1,000-kernel weight were affected almost equally, reflecting that V. myuros ’s competition with winter wheat occurred both early and late in the growing season.Seed production of V. myuros was suppressed by delaying sowing and increasing crop density.The impacts of delayed sowing and increasing crop density on seed production of V. myuros highlight the potential of these cultural weed control tactics in the long-term management programs of this species.
DOI: 10.57760/sciencedb.30706
title: Spermidine alleviates radiation-induced intestinal injury by remodeling the microbiota-barrier-inflammation axis.
title: Spermidine alleviates radiation-induced intestinal injury by remodeling the microbiota-barrier-inflammation axis.

description: We attempted to elucidate the protective effect of spermidine against radiation-induced intestinal injury by investigating its role in remodeling the gut microbiota-barrier-inflammation axis.Fecal samples collected from mice were stored at -80°C until analysis. The samples were subsequently outsourced for sequencing to Shanghai OE Biotech Co., Ltd. The raw sequencing data were processed using the QIIME2 pipeline (version 2020.11) for quality control, denoising, and generation of an Amplicon Sequence Variant (ASV) table. Downstream statistical analyses, conducted in R (v4.0.3), included assessments of alpha diversity (ACE, Chao1, Shannon, and Simpson indices), beta diversity (Principal Coordinate Analysis based on Bray-Curtis distances), and identification of differentially abundant taxa between groups.Relevant supplementary materials are provided in a Word document, which includes stacked bar plots and heatmaps of microbiota analysis (in the Supplementary Figure section) and original uncropped Western blot images (in the Figure Original Uncropped Blots section).
description: We attempted to elucidate the protective effect of spermidine against radiation-induced intestinal injury by investigating its role in remodeling the gut microbiota-barrier-inflammation axis.Fecal samples collected from mice were stored at -80°C until analysis. The samples were subsequently outsourced for sequencing to Shanghai OE Biotech Co., Ltd. The raw sequencing data were processed using the QIIME2 pipeline (version 2020.11) for quality control, denoising, and generation of an Amplicon Sequence Variant (ASV) table. Downstream statistical analyses, conducted in R (v4.0.3), included assessments of alpha diversity (ACE, Chao1, Shannon, and Simpson indices), beta diversity (Principal Coordinate Analysis based on Bray-Curtis distances), and identification of differentially abundant taxa between groups.Relevant supplementary materials are provided in a Word document, which includes stacked bar plots and heatmaps of microbiota analysis (in the Supplementary Figure section) and original uncropped Western blot images (in the Figure Original Uncropped Blots section).
DOI: 10.57760/sciencedb.22816
title: CSQ: A Chinese Elementary Science Question Dataset with Rich Discipline Properties in Adaptive Problem-Solving Process Generation
title: A Chinese Elementary Science Question Dataset with Rich Discipline Properties in Adaptive Problem-Solving Process Generation

description: This is currently the world's largest Chinese Science Question (CSQ) dataset, which includes benchmarks and training sets and is designed to evaluate and improve the scientific problem-solving ability of LLMs. CSQ consists of 12,000 high-quality samples with a variety of question types and different subject attributes, covering four subjects and multiple topics in Chinese primary schools. It is deeply coupled with the Science Curriculum Standards for Compulsory Education of China (2022), providing a new way for large language models to empower science education, and also providing a research foundation for science curriculum ITS based on LLMs.
description: This is currently the world's largest Chinese Science Question (CSQ) dataset, which includes benchmarks and training sets and is designed to evaluate and improve the scientific problem-solving ability of LLMs. CSQ consists of 12,000 high-quality samples with a variety of question types and different subject attributes, covering four subjects and multiple topics in Chinese primary schools. It is deeply coupled with the Science Curriculum Standards for Compulsory Education of China (2022), providing a new way for large language models to empower science education, and also providing a research foundation for science curriculum ITS based on LLMs.
DOI: 10.15468/mu3kwh
title: Validation and lectotypification of the fern combination Whittieria engelmannii (Ophioglossaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wan, Xia, Zhang, Liang, Zhang, Li-Bing (2022): Validation and lectotypification of the fern combination Whittieria engelmannii (Ophioglossaceae). Phytotaxa 567 (2): 205-206, DOI: 10.11646/phytotaxa.567.2.10