cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.15634
title: China Coal Mining Energy Consumption Dataset
title: China Coal Mining Energy Consumption Dataset

description: China's coal mining industry boasts a long history, with most mines entering mid to late stages of development. Consequently, many coal resource-dependent cities are facing gradual resource depletion, leading to a proliferation of internal issues and pronounced conflicts across various dimensions. Annually, significant wastage of energy resources occurs due to coal mining in these cities. Understanding the spatial distribution of energy consumption from coal mining is crucial for advancing energy system transformation and planning future coal mining strategies. This study employs web scraping techniques to gather coal production data from coal resource cities across China. Using a top-down approach, the comprehensive energy consumption based on coal production was estimated, and consequently, the energy consumption per unit of coal production for each province was calculated. The results indicate that cities with energy consumption from coal mining exceeding 5 million tonnes of standard coal are primarily concentrated in the eastern regions and the Jin-Shan-Mongolia-Ningxia-Gansu area.
description: China's coal mining industry boasts a long history, with most mines entering mid to late stages of development. Consequently, many coal resource-dependent cities are facing gradual resource depletion, leading to a proliferation of internal issues and pronounced conflicts across various dimensions. Annually, significant wastage of energy resources occurs due to coal mining in these cities. Understanding the spatial distribution of energy consumption from coal mining is crucial for advancing energy system transformation and planning future coal mining strategies. This study employs web scraping techniques to gather coal production data from coal resource cities across China. Using a top-down approach, the comprehensive energy consumption based on coal production was estimated, and consequently, the energy consumption per unit of coal production for each province was calculated. The results indicate that cities with energy consumption from coal mining exceeding 5 million tonnes of standard coal are primarily concentrated in the eastern regions and the Jin-Shan-Mongolia-Ningxia-Gansu area.
DOI: 10.57760/sciencedb.15638
title: A dataset of carbon emissions from coal mining in coal resource cities in China
title: A dataset of carbon emissions from coal mining in coal resource cities in China

description: Coal is often regarded as the most polluting energy source, contributing significantly to greenhouse gas emissions and air pollution at every stage, from mining to utilization. While carbon emissions during coal use have traditionally been the primary focus of the industry, emissions from the production phase, at the forefront of the supply chain, are often overlooked. Estimating carbon dioxide emissions from coal production is crucial for guiding the sustainable use of coal resources in China. This study employs a top-down modeling approach across the entire energy system, utilizing energy carbon emission factors (EF) to assess CO2 emissions from coal mining activities in various resource-dependent cities in China. The findings reveal that cities with the highest carbon emissions from coal mining are chiefly located in Shaanxi and Inner Mongolia within the Jin-Shan-Mongolia-Ningxia-Gansu region, as well as Hebei, Shandong, and Anhui provinces in the eastern region, and Chongqing, Guizhou, and Yunnan provinces in the southern region.
description: Coal is often regarded as the most polluting energy source, contributing significantly to greenhouse gas emissions and air pollution at every stage, from mining to utilization. While carbon emissions during coal use have traditionally been the primary focus of the industry, emissions from the production phase, at the forefront of the supply chain, are often overlooked. Estimating carbon dioxide emissions from coal production is crucial for guiding the sustainable use of coal resources in China. This study employs a top-down modeling approach across the entire energy system, utilizing energy carbon emission factors (EF) to assess CO2 emissions from coal mining activities in various resource-dependent cities in China. The findings reveal that cities with the highest carbon emissions from coal mining are chiefly located in Shaanxi and Inner Mongolia within the Jin-Shan-Mongolia-Ningxia-Gansu region, as well as Hebei, Shandong, and Anhui provinces in the eastern region, and Chongqing, Guizhou, and Yunnan provinces in the southern region.
DOI: 10.57760/sciencedb.15652
title: Data extraction form_Acupuncture for chronic diabetic peripheral neuropathy
title: Data extraction form_Acupuncture for chronic diabetic peripheral neuropathy

description: Diabetic peripheral neuropathy (DPN) affects up to half of all patients with diabetes mellitus. Acupuncture is often used to manage chronic pain, but its’ effects on DPN are uncertain. We conducted a systematic review and meta-analysis of randomized clinical trials (RCTs) to assess the effectiveness of acupuncture for DPN.We searched databases from inception to September 30, 2024. Paired reviewers independently extracted data and assessed risk of bias. Evetually, we included 14 RCTs (1,169 participants, 45% female).
description: Diabetic peripheral neuropathy (DPN) affects up to half of all patients with diabetes mellitus. Acupuncture is often used to manage chronic pain, but its’ effects on DPN are uncertain. We conducted a systematic review and meta-analysis of randomized clinical trials (RCTs) to assess the effectiveness of acupuncture for DPN.We searched databases from inception to September 30, 2024. Paired reviewers independently extracted data and assessed risk of bias. Evetually, we included 14 RCTs (1,169 participants, 45% female).
DOI: 10.57760/sciencedb.15662
title: The ionosonde data
title: The ionosonde data

description: 论文中使用的电离探测仪数据
description: 论文中使用的电离探测仪数据
DOI: 10.57760/sciencedb.15665
title: Transcriptomic Datasets of Plateau Brown Frogs (Rana kukunoris) from Eastern and Western Slopes of the Helan Mountains
title: Transcriptomic Datasets of Plateau Brown Frogs (Rana kukunoris) from Eastern and Western Slopes of the Helan Mountains

description: This study provides extensive transcriptome data of plateau brown frogs from two distinct environmental regions, the eastern and western slopes of the Helan Mountains. We collected transcriptome data from three tissues (blood, liver, and muscle) in the autumn, generating 294962 single genes and 570192 transcripts. 
description: This study provides extensive transcriptome data of plateau brown frogs from two distinct environmental regions, the eastern and western slopes of the Helan Mountains. We collected transcriptome data from three tissues (blood, liver, and muscle) in the autumn, generating 294962 single genes and 570192 transcripts.
DOI: 10.15468/dl.pnwpmz
title: Occurrence Download

description: A dataset containing 1354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Aneides hardii (Taylor, 1941))"
 ]
}

 The dataset includes 1354 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001145-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.j00133.00414
title: Chinese Financial Announcements
title: 中国金融公告

description: The ChFinAnn dataset is a publicly available financial event dataset that includes five types of financial events: Equity Freeze, Equity Pledge, Equity Repurchase, Equity Overweight, and Equity Underweight. This dataset consists of 32040 samples and 48000 event records, of which approximately 29% of the documents contain more than one record. In addition, 98% of the records have arguments scattered across different sentences, which poses additional challenges for event extraction. This dataset was built to support document level event extraction asks, particularly in the financial field. It is not only large in scale, but also has the characteristics of multi event recording and argument dispersion, which make it a valuable resource for researching document level event extraction.
description: The ChFinAnn dataset is a publicly available financial event dataset that includes five types of financial events: Equity Freeze, Equity Pledge, Equity Repurchase, Equity Overweight, and Equity Underweight. This dataset consists of 32040 samples and 48000 event records, of which approximately 29% of the documents contain more than one record. In addition, 98% of the records have arguments scattered across different sentences, which poses additional challenges for event extraction. This dataset was built to support document level event extraction asks, particularly in the financial field. It is not only large in scale, but also has the characteristics of multi event recording and argument dispersion, which make it a valuable resource for researching document level event extraction.
DOI: 10.57760/sciencedb.15678
title: Metagenomic Datasets of Plateau Brown Frogs (Rana kukunoris) from Eastern and Western Slopes of the Helan Mountains
title: Metagenomic Datasets of Plateau Brown Frogs (Rana kukunoris) from Eastern and Western Slopes of the Helan Mountains

description: This study provides first of comprehensive metagenomic dataset of Plateau brown frogs from two significantly different environmental regions (eastern and western slopes of the Helan Mountains).
description: This study provides first of comprehensive metagenomic dataset of Plateau brown frogs from two significantly different environmental regions (eastern and western slopes of the Helan Mountains).
DOI: 10.15468/dl.vjnpv6
title: Occurrence Download

description: A dataset containing 248155 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is P herbarium - Muséum national d’Histoire naturelle - Amostras Brasileiras Repatriadas - Herbário Virtual REFLORA"
 ]
}

 The dataset includes 248155 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001140-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.15682
title: Open Pit Mine Object Detection Dataset
title: Open Pit Mine Object Detection Dataset

description: The Open-Pit-Mine-Object-Detection-Dataset is a remarkable and specialized collection. It consists solely of remote sensing images of open-pit mines and their corresponding object detection bounding boxes. These bounding boxes are painstakingly hand-annotated using labelme, and the dataset provides annotations in JSON format. The remote sensing images offer a detailed and comprehensive view of the mine landscapes, presenting a wealth of visual information. With the precisely hand-annotated JSON format bounding boxes, researchers and developers have a valuable resource at their disposal. They can utilize this dataset with confidence to train and enhance object detection algorithms that are specifically designed for open-pit mines. This, in turn, holds great potential for improving safety and efficiency in mining operations, as accurate object detection can lead to better monitoring, management, and decision-making in the complex environment of open-pit mines.
description: The Open-Pit-Mine-Object-Detection-Dataset is a remarkable and specialized collection. It consists solely of remote sensing images of open-pit mines and their corresponding object detection bounding boxes. These bounding boxes are painstakingly hand-annotated using labelme, and the dataset provides annotations in JSON format. The remote sensing images offer a detailed and comprehensive view of the mine landscapes, presenting a wealth of visual information. With the precisely hand-annotated JSON format bounding boxes, researchers and developers have a valuable resource at their disposal. They can utilize this dataset with confidence to train and enhance object detection algorithms that are specifically designed for open-pit mines. This, in turn, holds great potential for improving safety and efficiency in mining operations, as accurate object detection can lead to better monitoring, management, and decision-making in the complex environment of open-pit mines.
DOI: 10.57760/sciencedb.15684
title: Photovoltaic dataset of China from 2013 to 2023 for ten years
title: Photovoltaic dataset of China from 2013 to 2023 for ten years

description: To produce this dataset, an advanced approach was employed. Firstly, machine learning techniques were utilized in conjunction with Landsat - 8 images with a resolution of 30m. These images underwent morphological restoration to enhance their quality. Subsequently, the processed data was converted into vector format, facilitating further analysis and manipulation. Finally, a crucial step of manual verification was carried out. This involved careful human checking to ensure the accuracy and reliability of the dataset. Through this meticulous process, a high-quality dataset was generated, which can serve as a valuable tool for various research and application scenarios related to photovoltaic studies in China, such as analyzing the spatial distribution and temporal changes of photovoltaic installations, assessing the impact of photovoltaic development on the environment and energy landscape, and supporting the planning and management of photovoltaic projects.
description: To produce this dataset, an advanced approach was employed. Firstly, machine learning techniques were utilized in conjunction with Landsat - 8 images with a resolution of 30m. These images underwent morphological restoration to enhance their quality. Subsequently, the processed data was converted into vector format, facilitating further analysis and manipulation. Finally, a crucial step of manual verification was carried out. This involved careful human checking to ensure the accuracy and reliability of the dataset. Through this meticulous process, a high-quality dataset was generated, which can serve as a valuable tool for various research and application scenarios related to photovoltaic studies in China, such as analyzing the spatial distribution and temporal changes of photovoltaic installations, assessing the impact of photovoltaic development on the environment and energy landscape, and supporting the planning and management of photovoltaic projects.
DOI: 10.57760/sciencedb.15701
title: An open-pit mine segmentation dataset for deep learning
title: An open-pit mine segmentation dataset for deep learning

description: The open-pit mine segmentation dataset for deep learning is a carefully curated resource. It was developed through a systematic process. Firstly, by conducting comprehensive literature research, the Point of Interest (POI) data of open-pit mines was summarized. Based on this, Google Level 17 images were obtained. Then, through painstaking manual annotation work, the boundaries of the mines were precisely marked out. The dataset provides the boundary information in YOLO format, which is highly conducive to the training and optimization of deep learning models for tasks related to open-pit mine segmentation. It enables researchers and practitioners in the field of deep learning to have a reliable and accurate dataset at their disposal, facilitating the development of more effective algorithms and applications for understanding and analyzing the characteristics and patterns of open-pit mines, which can have significant implications for mine management, safety monitoring, and resource optimization in the open-pit mining industry.
description: The open-pit mine segmentation dataset for deep learning is a carefully curated resource. It was developed through a systematic process. Firstly, by conducting comprehensive literature research, the Point of Interest (POI) data of open-pit mines was summarized. Based on this, Google Level 17 images were obtained. Then, through painstaking manual annotation work, the boundaries of the mines were precisely marked out. The dataset provides the boundary information in YOLO format, which is highly conducive to the training and optimization of deep learning models for tasks related to open-pit mine segmentation. It enables researchers and practitioners in the field of deep learning to have a reliable and accurate dataset at their disposal, facilitating the development of more effective algorithms and applications for understanding and analyzing the characteristics and patterns of open-pit mines, which can have significant implications for mine management, safety monitoring, and resource optimization in the open-pit mining industry.
DOI: 10.57760/sciencedb.15722
title: Engineered yeast producing butyric acid alleviates Alzheimer's disease.
title: Engineered yeast producing butyric acid alleviates Alzheimer's disease.

description: The groups were the butyric acid-producing engineered yeast J17 group, the chassis strain BY4741 group, and the AD control group. The experiment was a non-targeted metabolomics study of the intestinal contents of AD model mice fed with different strains.
description: The groups were the butyric acid-producing engineered yeast J17 group, the chassis strain BY4741 group, and the AD control group. The experiment was a non-targeted metabolomics study of the intestinal contents of AD model mice fed with different strains.
DOI: 10.57760/sciencedb.15723
title: Effect of different bleed slot positions and negative pre-swirl vanes on the performance of centrifugal compressor with recirculation casing treatment
title: Effect of different bleed slot positions and negative pre-swirl vanes on the performance of centrifugal compressor with recirculation casing treatment

description: This data is used for sharing CFX calculation results. This data is used for sharing CFX calculation results 
description: This data is used for sharing CFX calculation results. This data is used for sharing CFX calculation results
DOI: 10.57760/sciencedb.j00186.00386
title: A ROOT based detector geometry and event visualization system for JUNO-TAO
title: A ROOT based detector geometry and event visualization system for JUNO-TAO

description: The Taishan Antineutrino Observatory(TAO or JUNO-TAO) is a satellite experiment of the Jiangmen Underground Neutrino Observatory(JUNO), located near the Taishan nuclear power plant(NPP). The TAO aims to measure the energy spectrum of reactor antineutrinos with unprecedented precision, which would benefit both reactor neutrino physics and the nuclear database. A detector geometry and event visualization system was developed for the TAO. The software was based on ROOT packages and embedded in the TAO offline software framework. This provided an intuitive tool for visualizing the detector geometry, tuning the reconstruction algorithm, understanding neutrino physics, and monitoring the operation of reactors at NPP. Further applications of the visualization system in the experimental operation of TAO and its future development are discussed.
description: The Taishan Antineutrino Observatory(TAO or JUNO-TAO) is a satellite experiment of the Jiangmen Underground Neutrino Observatory(JUNO), located near the Taishan nuclear power plant(NPP). The TAO aims to measure the energy spectrum of reactor antineutrinos with unprecedented precision, which would benefit both reactor neutrino physics and the nuclear database. A detector geometry and event visualization system was developed for the TAO. The software was based on ROOT packages and embedded in the TAO offline software framework. This provided an intuitive tool for visualizing the detector geometry, tuning the reconstruction algorithm, understanding neutrino physics, and monitoring the operation of reactors at NPP. Further applications of the visualization system in the experimental operation of TAO and its future development are discussed.
DOI: 10.57760/sciencedb.15744
title: "B-MHD" (Bengali Mental Health Disorder Text dataset)
title: "B-MHD" (Bengali Mental Health Disorder Text dataset)

description: B-MHD (Bengali Mental Health Disorder Text Dataset)B-MHD is a specialized dataset containing 7,131 manually annotated Bangla social media texts, designed to facilitate the detection of mental health disorder-related content. Curated from platforms such as Facebook, YouTube, Twitter, and Reddit, the dataset includes texts labeled for the presence or absence of mental health indicators.
description: B-MHD (Bengali Mental Health Disorder Text Dataset)B-MHD is a specialized dataset containing 7,131 manually annotated Bangla social media texts, designed to facilitate the detection of mental health disorder-related content. Curated from platforms such as Facebook, YouTube, Twitter, and Reddit, the dataset includes texts labeled for the presence or absence of mental health indicators.
DOI: 10.57760/sciencedb.space.01983
title: Software for magnetosheath jets at Mercury
title: Software for magnetosheath jets at Mercury

description: A software used to study the magnetosheath jets at Mercury is published. To reproduce the result presented in the article, you need to:- Assemble and link the source files using `make`. Refer to `src/README.md` for build requirements. If done properly, you will get the executable `fefi`.- Put `fefi`, `params.bin`, `diagnosis.bin` in the same folder.- Use `mpirun -np 960 ./fefi` to execute the simulation. Note that the number of processes must be 960.
description: A software used to study the magnetosheath jets at Mercury is published. To reproduce the result presented in the article, you need to:- Assemble and link the source files using `make`. Refer to `src/README.md` for build requirements. If done properly, you will get the executable `fefi`.- Put `fefi`, `params.bin`, `diagnosis.bin` in the same folder.- Use `mpirun -np 960 ./fefi` to execute the simulation. Note that the number of processes must be 960.
DOI: 10.57760/sciencedb.15764
title: MEA optimization
title: MEA optimization

description: result of the optimization
description: result of the optimization