cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.01034
title: 10m resolution dryland distribution dataset in Jiamusi City, Heilongjiang Province (2020)
title: 黑龙江省佳木斯市10m分辨率旱田分布数据集（2020年）

description: a. Data content (data file/table name, including observation indicators)
This data includes a 10m resolution cultivated land distribution dataset in Jiamusi City, Heilongjiang Province, which reflects the distribution of cultivated land in the area and provides data support for grain production, soil remediation, land planning, and other aspects.
b. Construction purpose
Grain is crucial to the national economy and people's livelihood, and food security is an important foundation of national security. Jilin Province is a major producer in China. By understanding the distribution of dry fields in Jiamusi City, Heilongjiang Province, data support is provided for estimating grain production in Jilin Province.
c. Service target
It can widely serve scientific researchers in related disciplines such as black soil protection and ecological monitoring.
d. Time range of data
2020
e. The spatial scope of data
Jiamusi City, Heilongjiang Province
f. Projection method of data
Projected Coordinate System：Krasovsky_1940_Albers
Geographic Coordinate System：GCS_Krasovsky_1940
g. The disciplinary scope of data
Biology&gt;Ecology&gt;Regional Ecology
h. Quantity of data
The total data volume is approximately 31.49MB
description: a. Data content (data file/table name, including observation indicators)
This data includes a 10m resolution cultivated land distribution dataset in Jiamusi City, Heilongjiang Province, which reflects the distribution of cultivated land in the area and provides data support for grain production, soil remediation, land planning, and other aspects.
b. Construction purpose
Grain is crucial to the national economy and people's livelihood, and food security is an important foundation of national security. Jilin Province is a major producer in China. By understanding the distribution of dry fields in Jiamusi City, Heilongjiang Province, data support is provided for estimating grain production in Jilin Province.
c. Service target
It can widely serve scientific researchers in related disciplines such as black soil protection and ecological monitoring.
d. Time range of data
2020
e. The spatial scope of data
Jiamusi City, Heilongjiang Province
f. Projection method of data
Projected Coordinate System：Krasovsky_1940_Albers
Geographic Coordinate System：GCS_Krasovsky_1940
g. The disciplinary scope of data
Biology&gt;Ecology&gt;Regional Ecology
h. Quantity of data
The total data volume is approximately 31.49MB
DOI: 10.57760/sciencedb.iga.01035
title: 10m resolution paddy field distribution dataset in Jiamusi City, Heilongjiang Province (2020)
title: 黑龙江省佳木斯市10m分辨率水田分布数据集（2020年）

description: a. Data content (data file/table name, including observation indicators)
This data includes a 10m resolution cultivated land distribution dataset in Jiamusi City, Heilongjiang Province, which reflects the distribution of cultivated land in the area and provides data support for grain production, soil remediation, land planning, and other aspects.
b. Construction purpose
Grain is crucial to the national economy and people's livelihood, and food security is an important foundation of national security. Jilin Province is a major producer in China. By understanding the distribution of paddy fields in Jiamusi City, Heilongjiang Province, data support is provided for estimating grain production in Jilin Province.
c. Service target
It can widely serve scientific researchers in related disciplines such as black soil protection and ecological monitoring.
d. Time range of data
2020
e. The spatial scope of data
Jiamusi City, Heilongjiang Province
f. Projection method of data
Projected Coordinate System：Krasovsky_1940_Albers
Geographic Coordinate System：GCS_Krasovsky_1940
g. The disciplinary scope of data
Biology&gt;Ecology&gt;Regional Ecology
h. Quantity of data
The total data volume is approximately 28.01MB
description: a. Data content (data file/table name, including observation indicators)
This data includes a 10m resolution cultivated land distribution dataset in Jiamusi City, Heilongjiang Province, which reflects the distribution of cultivated land in the area and provides data support for grain production, soil remediation, land planning, and other aspects.
b. Construction purpose
Grain is crucial to the national economy and people's livelihood, and food security is an important foundation of national security. Jilin Province is a major producer in China. By understanding the distribution of paddy fields in Jiamusi City, Heilongjiang Province, data support is provided for estimating grain production in Jilin Province.
c. Service target
It can widely serve scientific researchers in related disciplines such as black soil protection and ecological monitoring.
d. Time range of data
2020
e. The spatial scope of data
Jiamusi City, Heilongjiang Province
f. Projection method of data
Projected Coordinate System：Krasovsky_1940_Albers
Geographic Coordinate System：GCS_Krasovsky_1940
g. The disciplinary scope of data
Biology&gt;Ecology&gt;Regional Ecology
h. Quantity of data
The total data volume is approximately 28.01MB
DOI: 10.57760/sciencedb.iga.01037
title: Remote sensing inversion dataset of straw coverage in Daqing City, Heilongjiang Province (2021)
title: 黑龙江省大庆市秸秆覆盖度遥感反演数据集（2021年）

description: a. Data content (data file/table name, including observation indicators)
The 2021 remote sensing inversion dataset of straw coverage in Daqing City, Heilongjiang Province reflects the distribution of straw coverage in Daqing City, Heilongjiang Province, China.
b. Construction purpose
By remote sensing inversion of corn straw coverage in Daqing City, Heilongjiang Province, data support is provided for various agricultural research.
c. Service target
It can widely serve managers, producers, and scientific researchers in remote sensing, agriculture, and related disciplines such as agronomy and ecology.
d. Time range of data
2021
e. The spatial scope of data
Daqing City, Heilongjiang Province
f. Projection method of data
WGS 84
g. The disciplinary scope of data
Surveying and Mapping Science and Technology&gt;Photogrammetry and Remote Sensing Technology
h. Quantity of data
The total data volume is approximately 169 MB
description: a. Data content (data file/table name, including observation indicators)
The 2021 remote sensing inversion dataset of straw coverage in Daqing City, Heilongjiang Province reflects the distribution of straw coverage in Daqing City, Heilongjiang Province, China.
b. Construction purpose
By remote sensing inversion of corn straw coverage in Daqing City, Heilongjiang Province, data support is provided for various agricultural research.
c. Service target
It can widely serve managers, producers, and scientific researchers in remote sensing, agriculture, and related disciplines such as agronomy and ecology.
d. Time range of data
2021
e. The spatial scope of data
Daqing City, Heilongjiang Province
f. Projection method of data
WGS 84
g. The disciplinary scope of data
Surveying and Mapping Science and Technology&gt;Photogrammetry and Remote Sensing Technology
h. Quantity of data
The total data volume is approximately 169 MB
DOI: 10.15468/dl.878884
title: Occurrence Download

description: A dataset containing 245261 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Vascular plant herbarium TRH, NTNU University Museum"
 ]
}

 The dataset includes 245261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001165-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17027
title: A dataset of carbon emission projections for Yangtze River Delta Urban Agglomeration, China, 2020-2035.
title: A dataset of carbon emission projections for Yangtze River Delta Urban Agglomeration, China, 2020-2035.

description: The characteristics of spatial networks within urban agglomerations determine that the peak carbon path of a single city is inevitably affected by neighboring cities, but the prediction of peak carbon considering the spatial correlation is still not well researched. To address this situation, we developed a spatially embedded deep learning forecasting model and conducted carbon emission forecasts for 2020-2035 based on the 2000-2019 data of China's Yangtze River Delta city cluster. The prediction scenarios include a baseline scenario and a green scenario. The provided dataset includes the projected carbon emissions of 41 cities under these two scenarios for the period 2020-2035. This dataset can be used for the study of the development of a global strategy for carbon peaking in urban agglomerations.
description: The characteristics of spatial networks within urban agglomerations determine that the peak carbon path of a single city is inevitably affected by neighboring cities, but the prediction of peak carbon considering the spatial correlation is still not well researched. To address this situation, we developed a spatially embedded deep learning forecasting model and conducted carbon emission forecasts for 2020-2035 based on the 2000-2019 data of China's Yangtze River Delta city cluster. The prediction scenarios include a baseline scenario and a green scenario. The provided dataset includes the projected carbon emissions of 41 cities under these two scenarios for the period 2020-2035. This dataset can be used for the study of the development of a global strategy for carbon peaking in urban agglomerations.
DOI: 10.57760/sciencedb.17029
title: Multi-omics analysis and experimental verification reveal testicular fatty acid metabolism disorder in non-obstructive azoospermia
title: Multi-omics analysis and experimental verification reveal testicular fatty acid metabolism disorder in non-obstructive azoospermia

description: Between the hours of 8:00 and 11:00 AM, we collected samples of serum and seminal plasma from a total of 46 individuals.Among them were 21 patients diagnosed with non-obstructive azoospermia (NOA; n = 21) and the remaining 25 men were healthy individuals serving as controls. These samples were obtained during routine semen analysis at our clinical laboratory, specifically between September 2017 and January 2020。The age range of the individuals was between 20 and 43 years. After being subjected to centrifugation at room temperature for 10 min at a force of 1800 times the acceleration due to gravity, the serum samples were subsequently preserved at -70℃. The levels of free fatty acids in seminal plasma were examined using gas chromatography coupled with mass spectrometry (GC/MS).GC/MS was utilized to determine the concentrations of methylated fatty acids employing an Agilent 7890A/5975C GC/MS equipped with an Agilent DB-WAXcapillary column (30 m x 0.25 mm ID x 0.25 μm) (Agilent Technologies, CA). The analysis involved quantifying the quantities of 39 free fatty acids with medium and long chains (specifically, C6-C24).
description: Between the hours of 8:00 and 11:00 AM, we collected samples of serum and seminal plasma from a total of 46 individuals.Among them were 21 patients diagnosed with non-obstructive azoospermia (NOA; n = 21) and the remaining 25 men were healthy individuals serving as controls. These samples were obtained during routine semen analysis at our clinical laboratory, specifically between September 2017 and January 2020。The age range of the individuals was between 20 and 43 years. After being subjected to centrifugation at room temperature for 10 min at a force of 1800 times the acceleration due to gravity, the serum samples were subsequently preserved at -70℃. The levels of free fatty acids in seminal plasma were examined using gas chromatography coupled with mass spectrometry (GC/MS).GC/MS was utilized to determine the concentrations of methylated fatty acids employing an Agilent 7890A/5975C GC/MS equipped with an Agilent DB-WAXcapillary column (30 m x 0.25 mm ID x 0.25 μm) (Agilent Technologies, CA). The analysis involved quantifying the quantities of 39 free fatty acids with medium and long chains (specifically, C6-C24).
DOI: 10.57760/sciencedb.17031
title: Mechanistic Investigation of the External Application of Fangji Huangqi Decoction in Treating Rheumatoid Arthritis (Dampness-Heat Arthralgia) Based on Network Pharmacology and Molecular Docking
title: Mechanistic Investigation of the External Application of Fangji Huangqi Decoction in Treating Rheumatoid Arthritis (Dampness-Heat Arthralgia) Based on Network Pharmacology and Molecular Docking

description: 1.1 卓比配方活性成分的收集1.2 智卓比公式的潜在目标预测1.3 疾病靶点的筛选1.4 蛋白质相互作用网络构建与关键靶点筛选1.5 GO 富集和 KEGG 富集分析1.6 “药物-成分-靶点-通路”网络构建Cytoscape 3.7.2 软件是一种来源于交叉靶标及其相关活性成分和 KEGG 富集的生物通路来源，用于构建“成分-靶标-通路”网络。1.7 卓比配方和 RA 靶蛋白中活性成分的分子对接验证
description: 1.1 卓比配方活性成分的收集1.2 智卓比公式的潜在目标预测1.3 疾病靶点的筛选1.4 蛋白质相互作用网络构建与关键靶点筛选1.5 GO 富集和 KEGG 富集分析1.6 “药物-成分-靶点-通路”网络构建Cytoscape 3.7.2 软件是一种来源于交叉靶标及其相关活性成分和 KEGG 富集的生物通路来源，用于构建“成分-靶标-通路”网络。1.7 卓比配方和 RA 靶蛋白中活性成分的分子对接验证
DOI: 10.57760/sciencedb.17032
title: 2-E- Next Day- Locker
title: 2-E- Next Day- Locker

description: Contains the data for Designing a next-day delivery vehicle routing problem by using parcel lockers as intermediate facilities paper.
description: Contains the data for Designing a next-day delivery vehicle routing problem by using parcel lockers as intermediate facilities paper.
DOI: 10.57760/sciencedb.17043
title: Raw Data
title: Raw Data

description: The raw data generated during the research include data from FCM (Flow Cytometry), TCM, CCK-8 (a cell proliferation assay), ELISA (Enzyme-Linked Immunosorbent Assay), and PCR.
description: The raw data generated during the research include data from FCM (Flow Cytometry), TCM, CCK-8 (a cell proliferation assay), ELISA (Enzyme-Linked Immunosorbent Assay), and PCR.
DOI: 10.57760/sciencedb.17048
title: Tumor Signal Amplification and Immune Decoy Strategy Using Bacterial Membrane-Coated Nanoparticles for Immunotherapy data
title: Tumor Signal Amplification and Immune Decoy Strategy Using Bacterial Membrane-Coated Nanoparticles for Immunotherapy data

description: Cancer therapy;Immunotherapy;Nanoparticles
description: Cancer therapy;Immunotherapy;Nanoparticles
DOI: 10.57760/sciencedb.17051
title: LiDAR Data of Jianshui Fault
title: LiDAR Data of Jianshui Fault

description: The data supplied in this file is raw high-resolution LiDAR point cloud data collected in 2018. The data distributes along the Jianshui Fault, where the faulting geomorphology is comparatively well. The research paper is published on &lt;Tectonics&gt;. The citation of the paper is: Dong, S., Z. Han, P. Guo, N. Hu, X. Tan, and Z. Xie (2024), Tectono-geomorphic features related to the 1606 Jianshui earthquake in the southernmost segment of the Xiaojiang fault system, SE Tibet, Tectonics.
description: The data supplied in this file is raw high-resolution LiDAR point cloud data collected in 2018. The data distributes along the Jianshui Fault, where the faulting geomorphology is comparatively well. The research paper is published on &lt;Tectonics&gt;. The citation of the paper is: Dong, S., Z. Han, P. Guo, N. Hu, X. Tan, and Z. Xie (2024), Tectono-geomorphic features related to the 1606 Jianshui earthquake in the southernmost segment of the Xiaojiang fault system, SE Tibet, Tectonics.
DOI: 10.57760/sciencedb.17053
title: Transcriptome of Pinctada maxima
title: Transcriptome of Pinctada maxima

description: The silver-lipped pearl oyster (Pinctada maxima) is a marine bivalve of significant economic importance in the pearl production industry. Gender differences play a crucial role in its reproductive process and pearl formation. However, the genetic mechanisms underlying sex differentiation in the silver-lipped pearl oyster are not yet well understood. This study aims to elucidate the genetic basis of sex differentiation in Pinctada maxima through comprehensive transcriptome Pinctada maxima.
description: The silver-lipped pearl oyster (Pinctada maxima) is a marine bivalve of significant economic importance in the pearl production industry. Gender differences play a crucial role in its reproductive process and pearl formation. However, the genetic mechanisms underlying sex differentiation in the silver-lipped pearl oyster are not yet well understood. This study aims to elucidate the genetic basis of sex differentiation in Pinctada maxima through comprehensive transcriptome Pinctada maxima.
DOI: 10.15468/dl.4rdqrj
title: Occurrence Download

description: A dataset containing 37327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Milvus milvus (Linnaeus, 1758)",
 "Year 2023-2025"
 ]
}

 The dataset includes 37327 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001155-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.17066
title: Raw data of "Measuring wavelength-dependent radius and chromatic dispersion of a supercontinuum laser beam"
title: 论文Measuring wavelength-dependent radius and chromatic dispersion of a supercontinuum laser beam的原始数据

description: Raw data of "Measuring wavelength-dependent radius and chromatic dispersion of a supercontinuum laser beam" is included here.
description: Raw data of "Measuring wavelength-dependent radius and chromatic dispersion of a supercontinuum laser beam" is included here.
DOI: 10.57760/sciencedb.17067
title: Hourly Meteorological Data Set of Liangshui Ecological Station in Heilongjiang Province in 2021-2024
title: 黑龙江省凉水生态站2021-2024年逐小时气象数据集

description: 气象因素在国家野外观测和研究网络 （CNERN） 和森林生态站进行的环境观测中起着关键作用。凉水生态站位于黑龙江省，于 2012 年获得国家林业和草原局的建设批准，是中国陆地生态系统研究网络 （CTERN） 的一部分。该站于 2021 年进行的气象观测对于了解区域气象特征和促进生态保护至关重要。该数据集根据凉水市 2021-2024 年采集的气象数据汇编而成，内容结构全面，采集方法科学合理。后续阶段涉及严格的加工、分析、测试和质量控制，以确保准确性。该数据集包括常规气象指标（9m 总辐射、9m 光合有效辐射、9m 净辐射、地下 5cm 热通量、地下 10cm 热通量、大气压、1.5m 风速、1.5m 风向、9m 风速、18m 风速、22m 风速、28m 风速、36m 风速、42m 风速、1.5m 气温、1.5m 空气湿度、 9m 空气温度、9m 空气湿度、18m 空气温度、18m 空气湿度、22m 空气温度、22m 空气湿度、28m 空气温度、28m 空气湿度、36m 空气温度、36m 空气湿度、42m 空气温度、42m 空气湿度、表面温度、5cm chain_underground温度、10cm chain_underground温度、20cm chain_underground温度、30cm chain_underground温度、 温度chain_underground 40cm 温度、chain_underground 50cm 温度、chain_underground 60cm 温度、chain_underground 80cm 温度、chain_underground 100cm 温度、温度chain_underground 120cm 温度、温度chain_underground 150cm 温度、温度chain_underground 200cm 温度）。该数据集为温带森林生态系统的结构和功能及其适应气候变化机制的研究提供了宝贵的数据支持。此外，它还为国家生态文明建设做出贡献，为实现国家“双碳”目标提供科学基础和技术援助。
description: 气象因素在国家野外观测和研究网络 （CNERN） 和森林生态站进行的环境观测中起着关键作用。凉水生态站位于黑龙江省，于 2012 年获得国家林业和草原局的建设批准，是中国陆地生态系统研究网络 （CTERN） 的一部分。该站于 2021 年进行的气象观测对于了解区域气象特征和促进生态保护至关重要。该数据集根据凉水市 2021-2024 年采集的气象数据汇编而成，内容结构全面，采集方法科学合理。后续阶段涉及严格的加工、分析、测试和质量控制，以确保准确性。该数据集包括常规气象指标（9m 总辐射、9m 光合有效辐射、9m 净辐射、地下 5cm 热通量、地下 10cm 热通量、大气压、1.5m 风速、1.5m 风向、9m 风速、18m 风速、22m 风速、28m 风速、36m 风速、42m 风速、1.5m 气温、1.5m 空气湿度、 9m 空气温度、9m 空气湿度、18m 空气温度、18m 空气湿度、22m 空气温度、22m 空气湿度、28m 空气温度、28m 空气湿度、36m 空气温度、36m 空气湿度、42m 空气温度、42m 空气湿度、表面温度、5cm chain_underground温度、10cm chain_underground温度、20cm chain_underground温度、30cm chain_underground温度、 温度chain_underground 40cm 温度、chain_underground 50cm 温度、chain_underground 60cm 温度、chain_underground 80cm 温度、chain_underground 100cm 温度、温度chain_underground 120cm 温度、温度chain_underground 150cm 温度、温度chain_underground 200cm 温度）。该数据集为温带森林生态系统的结构和功能及其适应气候变化机制的研究提供了宝贵的数据支持。此外，它还为国家生态文明建设做出贡献，为实现国家“双碳”目标提供科学基础和技术援助。
DOI: 10.57760/sciencedb.17077
title: BrainKnow -- Extracting, Linking, and Synthesizing Neuroscience Knowledge
title: BrainKnow -- Extracting, Linking, and Synthesizing Neuroscience Knowledge

description: The exponential growth of neuroscience literature presents a significant challenge for researchers seeking to efficiently access and utilize relevant information. To address this issue, we introduce the Brain Knowledge Engine (BrainKnow), an automated system designed to extract, link, and synthesize neuroscience knowledge from scientific publications. BrainKnow constructs a comprehensive knowledge graph encompassing 3,626,931 relationships across 37,011 neuroscience concepts, derived from 1,817,744 articles. This vast repository of knowledge is accessible through a user-friendly web interface, facilitating efficient navigation and data retrieval. BrainKnow employs advanced graph network algorithms, specifically Node2Vec, to enhance knowledge recommendation and visualization. This enables users to explore semantic relationships between concepts, predict potential new relationships, and gain a deeper understanding of the interconnectedness within neuroscience. Additionally, BrainKnow ensures real-time updates by synchronizing with PubMed, providing researchers with access to the most current information. BrainKnow serves as a valuable resource for neuroscience researchers, offering a powerful tool for exploring, synthesizing, and leveraging the vast and complex knowledge base of the field.
description: The exponential growth of neuroscience literature presents a significant challenge for researchers seeking to efficiently access and utilize relevant information. To address this issue, we introduce the Brain Knowledge Engine (BrainKnow), an automated system designed to extract, link, and synthesize neuroscience knowledge from scientific publications. BrainKnow constructs a comprehensive knowledge graph encompassing 3,626,931 relationships across 37,011 neuroscience concepts, derived from 1,817,744 articles. This vast repository of knowledge is accessible through a user-friendly web interface, facilitating efficient navigation and data retrieval. BrainKnow employs advanced graph network algorithms, specifically Node2Vec, to enhance knowledge recommendation and visualization. This enables users to explore semantic relationships between concepts, predict potential new relationships, and gain a deeper understanding of the interconnectedness within neuroscience. Additionally, BrainKnow ensures real-time updates by synchronizing with PubMed, providing researchers with access to the most current information. BrainKnow serves as a valuable resource for neuroscience researchers, offering a powerful tool for exploring, synthesizing, and leveraging the vast and complex knowledge base of the field.