cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.00674
title: Liaoning Province 1:250000 Water System Line Distribution Dataset (2012)
title: 辽宁省1:25万水系线分布数据集(2012年)

description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Water System Line Distribution Dataset (2012)

Main content:

This dataset reflects the distribution of linear rivers in Liaoning Province, including one data entity: Liaoning Province 1:250000 Water System Line Distribution Dataset (2012) - Data Entity. shp

b. Construction purpose

Provide data services for scientific research on hydrology, water conservancy, agricultural ecology, and terrestrial surface ecosystems.

c. Service object

Students and researchers engaged in research on hydrology, water conservancy, and agricultural ecology.

d. Time range of data

The data source was in 2012 and was produced in 2014.

e. The spatial range and projection method of data

Space scope: Liaoning Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Water System Line Distribution Dataset (2012)

Main content:

This dataset reflects the distribution of linear rivers in Liaoning Province, including one data entity: Liaoning Province 1:250000 Water System Line Distribution Dataset (2012) - Data Entity. shp

b. Construction purpose

Provide data services for scientific research on hydrology, water conservancy, agricultural ecology, and terrestrial surface ecosystems.

c. Service object

Students and researchers engaged in research on hydrology, water conservancy, and agricultural ecology.

d. Time range of data

The data source was in 2012 and was produced in 2014.

e. The spatial range and projection method of data

Space scope: Liaoning Province
DOI: 10.57760/sciencedb.iga.00675
title: Liaoning Province 1:250000 Reservoir Distribution Dataset (2012)
title: 辽宁省1:25万水库分布数据集(2012年)

description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Reservoir Distribution Dataset (2012)

Main content:

This dataset reflects the distribution of reservoirs in Liaoning Province and includes one data entity: Liaoning Province 1:250000 Reservoir Distribution Dataset (2012) - Data Entity. shp

b. Construction purpose

Provide data services for scientific research on hydrology, water conservancy, agricultural ecology, and terrestrial surface ecosystems.

c. Service object

Students and researchers engaged in research on hydrology, water conservancy, and agricultural ecology.

d. Time range of data

The data source was in 2012 and was produced in 2014.

e. The spatial range and projection method of data

Space scope: Liaoning Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Reservoir Distribution Dataset (2012)

Main content:

This dataset reflects the distribution of reservoirs in Liaoning Province and includes one data entity: Liaoning Province 1:250000 Reservoir Distribution Dataset (2012) - Data Entity. shp

b. Construction purpose

Provide data services for scientific research on hydrology, water conservancy, agricultural ecology, and terrestrial surface ecosystems.

c. Service object

Students and researchers engaged in research on hydrology, water conservancy, and agricultural ecology.

d. Time range of data

The data source was in 2012 and was produced in 2014.

e. The spatial range and projection method of data

Space scope: Liaoning Province
DOI: 10.57760/sciencedb.iga.00676
title: Liaoning Province 1:250000 Highway Distribution Dataset (2013)
title: 辽宁省1:25万公路分布数据集(2013年)

description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Highway Distribution Dataset (2013)

Main content:

Ln high-speed. shp

Ln Expressway. shp

Ln National Highway. shp

Ln Provincial Highway. shp

Ln County Road. shp

Ln Township Village Road. shp

Ln Other Roads.shp

b. Construction purpose

To provide data support for studying agricultural ecological changes, farmland sampling design, and the impact of road distribution on agricultural production.

c. Service object

Students and researchers engaged in agricultural ecological research.

d. Time range of data

The data source was in 2013.

e. The spatial range and projection method of data

Space scope: Liaoning Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: Liaoning Province 1:250000 Highway Distribution Dataset (2013)

Main content:

Ln high-speed. shp

Ln Expressway. shp

Ln National Highway. shp

Ln Provincial Highway. shp

Ln County Road. shp

Ln Township Village Road. shp

Ln Other Roads.shp

b. Construction purpose

To provide data support for studying agricultural ecological changes, farmland sampling design, and the impact of road distribution on agricultural production.

c. Service object

Students and researchers engaged in agricultural ecological research.

d. Time range of data

The data source was in 2013.

e. The spatial range and projection method of data

Space scope: Liaoning Province
DOI: 10.57760/sciencedb.12788
title: Effectiveness of monitoring PT, APTT, and TT indexes in guiding early rehabilitation training for patients after tibial fracture surgery
title: Effectiveness of monitoring PT, APTT, and TT indexes in guiding early rehabilitation training for patients after tibial fracture surgery

description: A retrospective study was conducted, including 168 patients with tibial fractures who were treated at our hospital from May 2020 to May 2022. Based on the treatment outcomes, the patients were divided into two groups: the good rehabilitation group and the poor rehabilitation group. Patient data including age, gender, body mass index, Schatzker classification, operation time, blood loss, PT, APTT, and TT were collected, and a univariate analysis was conducted to compare the differences between the two groups. ROC curve analysis was performed to determine the optimal cut-off value for the variables. Subsequently, a multivariable logistic regression analysis was conducted to identify independent risk factors. Based on these factors, a nomogram prediction model was constructed.
description: A retrospective study was conducted, including 168 patients with tibial fractures who were treated at our hospital from May 2020 to May 2022. Based on the treatment outcomes, the patients were divided into two groups: the good rehabilitation group and the poor rehabilitation group. Patient data including age, gender, body mass index, Schatzker classification, operation time, blood loss, PT, APTT, and TT were collected, and a univariate analysis was conducted to compare the differences between the two groups. ROC curve analysis was performed to determine the optimal cut-off value for the variables. Subsequently, a multivariable logistic regression analysis was conducted to identify independent risk factors. Based on these factors, a nomogram prediction model was constructed.
DOI: 10.57760/sciencedb.iga.00677
title: Liaoning Province 1:250000 Population Spatial Dataset (2010)
title: 辽宁省1：25万人口空间数据集(2010年)

description: a. Data content (data file/table name, including observation index content)

The 1:250000 population spatial dataset of Liaoning Province (2010) reflects the population distribution of various counties and cities in Liaoning Province in 2010, including three indicators: agricultural population, year-end total population, and rural population.

b. Construction purpose

Mainly providing data support for the research on the current situation, characteristics, and evolution patterns of population spatial distribution in Liaoning Province.

c. Service object

Students and researchers engaged in research related to population geography.

d. Time range of data

2010

e. The spatial range of data

Liaoning Province
description: a. Data content (data file/table name, including observation index content)

The 1:250000 population spatial dataset of Liaoning Province (2010) reflects the population distribution of various counties and cities in Liaoning Province in 2010, including three indicators: agricultural population, year-end total population, and rural population.

b. Construction purpose

Mainly providing data support for the research on the current situation, characteristics, and evolution patterns of population spatial distribution in Liaoning Province.

c. Service object

Students and researchers engaged in research related to population geography.

d. Time range of data

2010

e. The spatial range of data

Liaoning Province
DOI: 10.57760/sciencedb.j00124.00087
title: Investigation of Carbonate Dimethyl Ester Production from Propylene Carbonate and Methanol on Calcium Cerium-based Catalysts
title: 钙铈基催化剂上碳酸丙烯酯和甲醇制备碳酸二甲酯的研究

description: The dataset includes internal standard curve data of product analysis methods, catalyst performance evaluation data, and catalyst characterization results data. The calcium cerium based catalysts with different proportions were prepared by the sol gel method, and their transesterification performance for the synthesis of dimethyl carbonate from propylene carbonate and methanol was studied. The catalyst activity was evaluated using a three necked flask with a serpentine condenser tube, and the reaction products were analyzed using the internal standard method. The catalyst was characterized using XRD, N2 adsorption and desorption, FT-IR, XPS, and CO2-TPD, and analyzed using Origin to study the structure activity relationship of the catalyst. 
description: The dataset includes internal standard curve data of product analysis methods, catalyst performance evaluation data, and catalyst characterization results data. The calcium cerium based catalysts with different proportions were prepared by the sol gel method, and their transesterification performance for the synthesis of dimethyl carbonate from propylene carbonate and methanol was studied. The catalyst activity was evaluated using a three necked flask with a serpentine condenser tube, and the reaction products were analyzed using the internal standard method. The catalyst was characterized using XRD, N2 adsorption and desorption, FT-IR, XPS, and CO2-TPD, and analyzed using Origin to study the structure activity relationship of the catalyst.
DOI: 10.57760/sciencedb.12793
title: A Dataset of National Agricultural Machinery Purchase and Application Subsidy Information from 2021 to 2022
title: 全国2021-2022年农机购置与应用补贴信息数据集

description: This study collects information data on subsidies for the purchase and application of agricultural machinery in 2021-2022, which covers 31 provinces (autonomous regions and municipalities directly under the central government) as well as 38 provincial (sub-provincial) ministries in total, such as the Xinjiang Corps, Guangdong Nongkeng, Heilongjiang Nongkeng and other planned separate units. Through network crawling and processing, the data on agricultural machinery purchase and subsidies of 22 provinces (municipalities), including Beijing, Tianjin, Shanxi, etc., totaling 2,283,928 items in 2021-2022 were collected. This dataset can be used to analyze the characteristics and differences of agricultural machinery purchase and subsidy payment in each region, and provide a data base for related research and decision-making.
description: This study collects information data on subsidies for the purchase and application of agricultural machinery in 2021-2022, which covers 31 provinces (autonomous regions and municipalities directly under the central government) as well as 38 provincial (sub-provincial) ministries in total, such as the Xinjiang Corps, Guangdong Nongkeng, Heilongjiang Nongkeng and other planned separate units. Through network crawling and processing, the data on agricultural machinery purchase and subsidies of 22 provinces (municipalities), including Beijing, Tianjin, Shanxi, etc., totaling 2,283,928 items in 2021-2022 were collected. This dataset can be used to analyze the characteristics and differences of agricultural machinery purchase and subsidy payment in each region, and provide a data base for related research and decision-making.
DOI: 10.57760/sciencedb.12794
title: Modified Disabilities of Arm, Shoulder and Hand Tool: Validity and Reliability for Upper Extremity Injuries
title: Modified Disabilities of Arm, Shoulder and Hand Tool: Validity and Reliability for Upper Extremity Injuries

description: This is the data for M-DASH and DASH
description: This is the data for M-DASH and DASH
DOI: 10.57760/sciencedb.12796
title: LuffaFolio: A Multifaceted Luffa Aegyptiaca Image Dataset
title: LuffaFolio: A Multifaceted Luffa Aegyptiaca Image Dataset

description: This dataset is divided into 3 parts; Each part consists of smooth luffa grading, diseases, and flowers respectively. These images were captured from different village fields of Faridpur, Bangladesh. To construct the dataset, we have considered Luffa Aegyptiaca commonly known as Smooth Luffa (Dhundal/ধুন্দল). This dataset consists of a total of 1,933 JPG images; the dimension of each image is 1728 x 1728 pixels. The total size of the dataset is 6.75 GB. The dataset contains 3 folders: Luffa Diseases, Luffa Flower, and Luffa Grade. The detail of the dataset:•   Luffa Diseases: This dataset contains leaves of smooth luffa representing various diseases along with non-affected ones. The categories of this dataset are Alternaria Disease, Angular Spot Disease, Holed Leaves, Mosaic Virus, and Fresh Leaves. A total of 1,228 JPG raw images are presented in this folder.•   Luffa Flower: This dataset contains flowers of smooth luffa. There is only a single category of this dataset. A total of 362 JPG raw images are presented in this folder. These images represent various maturity stages of smooth luffa flowers. •   Luffa Grade: This dataset contains fresh and defective smooth luffa. The categories of this dataset are Fresh and Faulty Luffa. A total of 343 JPG raw images are presented in this folder.Also we have uploaded a resized version (224 X 224 pixels) of our full dataset in a single ZIP file.
description: This dataset is divided into 3 parts; Each part consists of smooth luffa grading, diseases, and flowers respectively. These images were captured from different village fields of Faridpur, Bangladesh. To construct the dataset, we have considered Luffa Aegyptiaca commonly known as Smooth Luffa (Dhundal/ধুন্দল). This dataset consists of a total of 1,933 JPG images; the dimension of each image is 1728 x 1728 pixels. The total size of the dataset is 6.75 GB. The dataset contains 3 folders: Luffa Diseases, Luffa Flower, and Luffa Grade. The detail of the dataset:•   Luffa Diseases: This dataset contains leaves of smooth luffa representing various diseases along with non-affected ones. The categories of this dataset are Alternaria Disease, Angular Spot Disease, Holed Leaves, Mosaic Virus, and Fresh Leaves. A total of 1,228 JPG raw images are presented in this folder.•   Luffa Flower: This dataset contains flowers of smooth luffa. There is only a single category of this dataset. A total of 362 JPG raw images are presented in this folder. These images represent various maturity stages of smooth luffa flowers. •   Luffa Grade: This dataset contains fresh and defective smooth luffa. The categories of this dataset are Fresh and Faulty Luffa. A total of 343 JPG raw images are presented in this folder.Also we have uploaded a resized version (224 X 224 pixels) of our full dataset in a single ZIP file.
DOI: 10.57760/sciencedb.12798
title: GalliformeSpectra: A Hen Breed Dataset
title: GalliformeSpectra: A Hen Breed Dataset

description: This dataset includes a variety of low-resolution images showcasing ten globally recognized hen breeds. These breeds were carefully chosen from different parts of the world to ensure a diverse and comprehensive representation. The dataset serves as a visual resource, offering a detailed depiction of the unique characteristics of these hen breeds, which aids in their accurate classification. It consists of ten distinct categories: Bielefeld, Blackorpington, Brahma, Buckeye, Fayoumi, Leghorn, Newhampshire, Plymouthrock, Sussex, and Turken, comprising a total of 1010 original JPG images that were later resized and converted to PNG format. After applying augmentation techniques, the total number of images increased to 5050. The dataset is organized into three variations: one with original images, another with resized images, and a third with augmented images. Each variation is further divided into ten separate folders, each dedicated to a specific hen breed. The images vary in size and have been subjected to data augmentation, which is essential for training machine vision deep learning models. Augmentation includes transformations like left and right flips, random adjustments in brightness (0.7-1.1), and random zoom (90% area). Consequently, an additional 505 augmented images were created from the original images in each category, resulting in a dataset comprising a total of 5050 augmented images (505 per category).
description: This dataset includes a variety of low-resolution images showcasing ten globally recognized hen breeds. These breeds were carefully chosen from different parts of the world to ensure a diverse and comprehensive representation. The dataset serves as a visual resource, offering a detailed depiction of the unique characteristics of these hen breeds, which aids in their accurate classification. It consists of ten distinct categories: Bielefeld, Blackorpington, Brahma, Buckeye, Fayoumi, Leghorn, Newhampshire, Plymouthrock, Sussex, and Turken, comprising a total of 1010 original JPG images that were later resized and converted to PNG format. After applying augmentation techniques, the total number of images increased to 5050. The dataset is organized into three variations: one with original images, another with resized images, and a third with augmented images. Each variation is further divided into ten separate folders, each dedicated to a specific hen breed. The images vary in size and have been subjected to data augmentation, which is essential for training machine vision deep learning models. Augmentation includes transformations like left and right flips, random adjustments in brightness (0.7-1.1), and random zoom (90% area). Consequently, an additional 505 augmented images were created from the original images in each category, resulting in a dataset comprising a total of 5050 augmented images (505 per category).
DOI: 10.57760/sciencedb.12799
title: Perceptions of Organizational Emoji Use
title: Perceptions of Organizational Emoji Use

description: Perceptions of Organizational Emoji Use
description: Perceptions of Organizational Emoji Use
DOI: 10.57760/sciencedb.agriculture.00039
title: A Dataset of the Statistics on Food Consumption and Nutrition-related Health of Rural Residents in Shaanxi Rural Areas in 2022
title: 2022年陕西省农村居民食物消费与营养健康调查统计数据集

description: This dataset includes village level data and individual farmer data. Among them, village level data includes village level codes, basic information of the village, and individual resident data includes individual codes, basic information, annual income and expenses, 2-day 24-hour dietary review of households, simplified food frequency, online food shopping, physical health status, medical expenses, etc, 
description: This dataset includes village level data and individual farmer data. Among them, village level data includes village level codes, basic information of the village, and individual resident data includes individual codes, basic information, annual income and expenses, 2-day 24-hour dietary review of households, simplified food frequency, online food shopping, physical health status, medical expenses, etc,
DOI: 10.5281/zenodo.15291418
title: larentia_mexicana_spades_01.fasta.gz
DOI: 10.5281/zenodo.15291419
title: larentia_mexicana_spades_01.fasta.gz
DOI: 10.57760/sciencedb.12810
title: Machine learning-based analyses for total ionizing dose effects in bipolar junction transistors
title: Machine learning-based analyses for total ionizing dose effects in bipolar junction transistors

description: These are the data files of the article named Machine learning-based analyses for total ionizing dose effects in bipolar junction transistors.
description: These are the data files of the article named Machine learning-based analyses for total ionizing dose effects in bipolar junction transistors.
DOI: 10.57760/sciencedb.12824
title: The factors affecting aggressive behavior
title: The factors affecting aggressive behavior

description: Exploring the factors affecting aggressive behavior among preschoolers.
description: Exploring the factors affecting aggressive behavior among preschoolers.
DOI: 10.57760/sciencedb.12822
title: Statistics on two Chinese Data Journals
title: 中国数据期刊案例统计数据集

description: This dataset includes all statistics for the two data journals, the China Science Data and Journal of Global Change Data & Discovery. The detailed dataset contents are as follows: Data Theme: China Scientific DataAbbreviation: CSDATAData duration: June 2016 to December 2022Data contents: Description and citation statistics for the select 481 data paper samplesData Theme: Journal of Global Change Data & DiscoveryAbbreviation: GCDATAData duration: March 2017 to December 2022Data contents: Description and citation statistics for the select 358 data paper samples
description: This dataset includes all statistics for the two data journals, the China Science Data and Journal of Global Change Data & Discovery. The detailed dataset contents are as follows: Data Theme: China Scientific DataAbbreviation: CSDATAData duration: June 2016 to December 2022Data contents: Description and citation statistics for the select 481 data paper samplesData Theme: Journal of Global Change Data & DiscoveryAbbreviation: GCDATAData duration: March 2017 to December 2022Data contents: Description and citation statistics for the select 358 data paper samples
DOI: 10.57760/sciencedb.12834
title: Impacts of hyperthermic chemotherapeutic agent on cytotoxicity, chemoresistance-related proteins, and PD-L1 expression in human gastric cancer cells (Submission to IJH)
title: Impacts of hyperthermic chemotherapeutic agent on cytotoxicity, chemoresistance-related proteins, and PD-L1 expression in human gastric cancer cells (Submission to IJH)

description: Our results showed that hyperthermia potentiates 5-Fu-mediated cytotoxicity in AGS cells. Furthermore, the combination of 5-Fu and hyperthermia inhibits both phosphorylated STAT3 and STAT3, while elevates phosphorylated Akt and ERK. In addition, 5-Fu/hyperthermia enhances ROS and suppresses superoxide dismutase 1. Chemoresistance-related proteins, such as multidrug resistance 1 and thymidylate synthase, are also suppressed by 5-Fu/hyperthermia. Interestingly, hyperthermia enhances 5-Fu-mediated induction of glycosylated PD-L1, but 5-Fu-mediated upregulation of surface PD-L1 expression is alleviated by hyperthermia.
description: Our results showed that hyperthermia potentiates 5-Fu-mediated cytotoxicity in AGS cells. Furthermore, the combination of 5-Fu and hyperthermia inhibits both phosphorylated STAT3 and STAT3, while elevates phosphorylated Akt and ERK. In addition, 5-Fu/hyperthermia enhances ROS and suppresses superoxide dismutase 1. Chemoresistance-related proteins, such as multidrug resistance 1 and thymidylate synthase, are also suppressed by 5-Fu/hyperthermia. Interestingly, hyperthermia enhances 5-Fu-mediated induction of glycosylated PD-L1, but 5-Fu-mediated upregulation of surface PD-L1 expression is alleviated by hyperthermia.