cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.00918
title: Dataset of Water Properties of White Soil in Farmland in Northeast China (1964-1966)
title: 东北地区农田白浆土水分属性数据集（1964-1966年）

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

Data file name: Northeast Region Farmland White Soil Moisture Attribute Dataset (1964-1966)

Contains 6 tables: Excel

(1) Comparison of Soil Water Storage Capacity of Main Farmlands in Sanjiang Plain

(2) The permeability coefficient of white soil layer by layer

(3) The Relationship between Rainfall in 8500 Farm and Water Content of Plain White Soil

(4) Extreme values of water dynamics in flat white soil (April October, 0-100cm soil layer) of 8500 farm

(5) Mechanical composition of white soil

(6) Main agricultural physical properties of white soil

It includes indicators such as water storage capacity, permeability coefficient, bulk density, precipitation, soil moisture content, mechanical composition, porosity, etc.

b. Construction purpose

Provide data support for the efficient utilization of soil moisture in black soil farmland.

c. Service recipients

Students, managers, and researchers engaged in research on soil moisture cycling and soil ecology in farmland

d. Time range of data

The data collection period is from 1964 to 1966

e. The spatial range and projection method of data

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

Data file name: Northeast Region Farmland White Soil Moisture Attribute Dataset (1964-1966)

Contains 6 tables: Excel

(1) Comparison of Soil Water Storage Capacity of Main Farmlands in Sanjiang Plain

(2) The permeability coefficient of white soil layer by layer

(3) The Relationship between Rainfall in 8500 Farm and Water Content of Plain White Soil

(4) Extreme values of water dynamics in flat white soil (April October, 0-100cm soil layer) of 8500 farm

(5) Mechanical composition of white soil

(6) Main agricultural physical properties of white soil

It includes indicators such as water storage capacity, permeability coefficient, bulk density, precipitation, soil moisture content, mechanical composition, porosity, etc.

b. Construction purpose

Provide data support for the efficient utilization of soil moisture in black soil farmland.

c. Service recipients

Students, managers, and researchers engaged in research on soil moisture cycling and soil ecology in farmland

d. Time range of data

The data collection period is from 1964 to 1966

e. The spatial range and projection method of data

Northeast region
DOI: 10.5281/zenodo.15291537
title: juniperus_brevifolia_spades_01.fasta.gz
DOI: 10.5281/zenodo.15291538
title: juniperus_brevifolia_spades_01.fasta.gz
DOI: 10.57760/sciencedb.iga.00920
title: Dataset of Agricultural Soil Drought and Flood Disasters in Northeast China (1801-1986, 1961-2000)
title: 东北地区农田土壤旱涝灾害数据集（1801-1986年，1961-2000年）

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

Data file name: Northeast Region Agricultural Soil Drought and Flood Disaster Dataset (1801-19861961-2000)

Contains 6 tables: Excel

(1) Statistical table of arable land area prone to drought and waterlogging

(2) Comparison of Drought and Flood Trends in Heilongjiang Province from 1801 to 1986

(3) The frequency of droughts and floods in various regions of Heilongjiang Province

(4) The frequency of seasonal droughts and floods in various regions of Heilongjiang Province

(5) Annual Table for Evaluation of Drought and Flood Levels in Summer (June August) in Northeast China

(6) The probability of drought and flood occurring in Northeast China from June to August

Including indicators such as cultivated land area, frequency and frequency of drought years, frequency and frequency of flood years, etc

b. Construction purpose

Provide data support for the sustainable development research of black soil agricultural production.

c. Service recipients

Students, managers, and researchers engaged in research related to agricultural ecology

d. Time range of data

Data collection time is 1801-1986, 1961-2000

e. The spatial range and projection method of data

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

Data file name: Northeast Region Agricultural Soil Drought and Flood Disaster Dataset (1801-19861961-2000)

Contains 6 tables: Excel

(1) Statistical table of arable land area prone to drought and waterlogging

(2) Comparison of Drought and Flood Trends in Heilongjiang Province from 1801 to 1986

(3) The frequency of droughts and floods in various regions of Heilongjiang Province

(4) The frequency of seasonal droughts and floods in various regions of Heilongjiang Province

(5) Annual Table for Evaluation of Drought and Flood Levels in Summer (June August) in Northeast China

(6) The probability of drought and flood occurring in Northeast China from June to August

Including indicators such as cultivated land area, frequency and frequency of drought years, frequency and frequency of flood years, etc

b. Construction purpose

Provide data support for the sustainable development research of black soil agricultural production.

c. Service recipients

Students, managers, and researchers engaged in research related to agricultural ecology

d. Time range of data

Data collection time is 1801-1986, 1961-2000

e. The spatial range and projection method of data

Northeast region
DOI: 10.57760/sciencedb.iga.00921
title: Dataset on the Causes of Agricultural Soil Drought in Northeast China (1951-1980)
title: 东北地区农田土壤干旱成因数据集（1951-1980年）

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

Data file name: Northeast Region Farmland Soil Drought Cause Dataset (1951-1980), consisting of 5 tables: Excel

(1) Changes in precipitation in representative cities and counties of Heilongjiang Province over different years

(2) Variation rate of precipitation and crop growth period precipitation in representative cities and counties of Heilongjiang Province

(3) Distribution of Precipitation in Representative Cities and Counties of Heilongjiang Province

(4) Comparison Table of Evaporative Power and Precipitation in Representative Cities and Counties of Heilongjiang Province

(5) The impact of terrain on soil moisture conditions

Including indicators such as precipitation, evapotranspiration, and soil moisture content

b. Construction purpose

Provide data support for the efficient utilization of soil moisture in black soil farmland.

c. Service recipients

Students, managers, and researchers engaged in research on soil moisture cycling and soil ecology in farmland

d. Time range of data

The data collection period is from 1951 to 1980

e. The spatial range and projection method of data

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

Data file name: Northeast Region Farmland Soil Drought Cause Dataset (1951-1980), consisting of 5 tables: Excel

(1) Changes in precipitation in representative cities and counties of Heilongjiang Province over different years

(2) Variation rate of precipitation and crop growth period precipitation in representative cities and counties of Heilongjiang Province

(3) Distribution of Precipitation in Representative Cities and Counties of Heilongjiang Province

(4) Comparison Table of Evaporative Power and Precipitation in Representative Cities and Counties of Heilongjiang Province

(5) The impact of terrain on soil moisture conditions

Including indicators such as precipitation, evapotranspiration, and soil moisture content

b. Construction purpose

Provide data support for the efficient utilization of soil moisture in black soil farmland.

c. Service recipients

Students, managers, and researchers engaged in research on soil moisture cycling and soil ecology in farmland

d. Time range of data

The data collection period is from 1951 to 1980

e. The spatial range and projection method of data

Northeast region
DOI: 10.57760/sciencedb.j00189.00002
title: High Speed Sintering: Assessing the influence of energy input on microstructure and mechanical properties of polyether block amide (PEBA) parts
title: High Speed Sintering: Assessing the influence of energy input on microstructure and mechanical properties of polyether block amide (PEBA) parts

description: High Speed Sintering, a new powder-bed fusion additive manufacturing technology, utilizes infrared lights (IR) to intensely heat and melt polymer powders. The presence of defects such as porosity, which is associated with particle coalescence, is highly dependdent on the level of energy input. This study investigate the influcence of energy input on porosity and its subsequent effects on the mechanical properties and microstructures of PEBA parts. The parts were manufactured with a variety of lamp powers, resulting in a range of energy input levels spanning from low to high. Subsequebtly, they underwent testing using Archimedes’ method, followed by tensile testing. The porosity, mechanical characteristics, and energy input exhibit a strong correlation; inadequate energy input was the primary cause of pore formation. Using the reduced IR light power resulted in the following outcomes: porosity, ultimate tensile strength, and elongation of 1.37%, 7.6 MPa, and 194.2%, respectively. When the energy input was further increased, the porosity was reduced to as low as 0.05% and the ultimate tensile strength and elongation were increased to their peak values of 233.8% and 9.1 MPa, respectively.
description: High Speed Sintering, a new powder-bed fusion additive manufacturing technology, utilizes infrared lights (IR) to intensely heat and melt polymer powders. The presence of defects such as porosity, which is associated with particle coalescence, is highly dependdent on the level of energy input. This study investigate the influcence of energy input on porosity and its subsequent effects on the mechanical properties and microstructures of PEBA parts. The parts were manufactured with a variety of lamp powers, resulting in a range of energy input levels spanning from low to high. Subsequebtly, they underwent testing using Archimedes’ method, followed by tensile testing. The porosity, mechanical characteristics, and energy input exhibit a strong correlation; inadequate energy input was the primary cause of pore formation. Using the reduced IR light power resulted in the following outcomes: porosity, ultimate tensile strength, and elongation of 1.37%, 7.6 MPa, and 194.2%, respectively. When the energy input was further increased, the porosity was reduced to as low as 0.05% and the ultimate tensile strength and elongation were increased to their peak values of 233.8% and 9.1 MPa, respectively.
DOI: 10.57760/sciencedb.o00119.00033
title: Specific leaf area observation dataset in China from 2005 to 2022
title: 2005~2022年中国植物比叶面积观测数据集

description: In this dataset, 2632 specific leaf area (SLA) records of 1056 species are collected from 82 published papers from 2005 and 2022 in China. The dataset includes two parts: data file and citation information file, the data file includes identity, plant functional type, latitude and longitude, Latin name, SLA and reference, the citation information file is a detailed description of the references. The dataset combines the SLA observations under the influence of light, soil moisture, leaf age and other factors, that can provide data support for the studies of plant responses to climate change. In addition, due to the lack of accurate latitude and longitude in some literature, the location information of corresponding SLA observations is missing.
description: In this dataset, 2632 specific leaf area (SLA) records of 1056 species are collected from 82 published papers from 2005 and 2022 in China. The dataset includes two parts: data file and citation information file, the data file includes identity, plant functional type, latitude and longitude, Latin name, SLA and reference, the citation information file is a detailed description of the references. The dataset combines the SLA observations under the influence of light, soil moisture, leaf age and other factors, that can provide data support for the studies of plant responses to climate change. In addition, due to the lack of accurate latitude and longitude in some literature, the location information of corresponding SLA observations is missing.
DOI: 10.57760/sciencedb.14660
title: Chinese Esports Video's Danmaku Comments Entity-Level Sentiment Analysis Dataset
title: 中文电竞视频弹幕评论实体级情感分析数据集

description: This dataset is a Chinese entity level sentiment analysis dataset, containing 124574 Chinese esports bullet comments crawled from the 2023 League of Legends professional league and mid season invitational match videos on the Bilibili bullet screen video website. After data cleaning, 14272 raw data were obtained, which were divided into training and testing sets in an 8:2 ratio. This dataset also ensures that under the same polarity distribution, 80%, 60%, 40%, and 20% of the data are selected for downsampling processing. 
description: This dataset is a Chinese entity level sentiment analysis dataset, containing 124574 Chinese esports bullet comments crawled from the 2023 League of Legends professional league and mid season invitational match videos on the Bilibili bullet screen video website. After data cleaning, 14272 raw data were obtained, which were divided into training and testing sets in an 8:2 ratio. This dataset also ensures that under the same polarity distribution, 80%, 60%, 40%, and 20% of the data are selected for downsampling processing.
DOI: 10.57760/sciencedb.j00194.00002
title: Based Dataset for the Erbium Determination by Using Fast Neutron Induced Gamma-ray Activation Analysis
title: 基于快中子激发伽马活化的铒元素测量数据集

description: Erbium is a common neutron poison, and it is essential to measure and analyze its content in the production processes of nuclear fuel. This study investigates the feasibility of detecting large-volume erbium samples using PGNAA (Prompt Gamma Neutron Activation Analysis) technology. A measurement platform was established using a deuterium-tritium (D-T) neutron generator and a high-purity germanium detector. Erbium oxide was selected as the sample, and the measurement analysis was conducted using the 815.9 keV characteristic peak emitted from the reaction of fast neutrons with erbium. The associated dataset includes prompt gamma-ray spectra measured by the HPGe detector, delayed gamma-ray spectra from copper activation, and counts from the He3 neutron detector.
description: Erbium is a common neutron poison, and it is essential to measure and analyze its content in the production processes of nuclear fuel. This study investigates the feasibility of detecting large-volume erbium samples using PGNAA (Prompt Gamma Neutron Activation Analysis) technology. A measurement platform was established using a deuterium-tritium (D-T) neutron generator and a high-purity germanium detector. Erbium oxide was selected as the sample, and the measurement analysis was conducted using the 815.9 keV characteristic peak emitted from the reaction of fast neutrons with erbium. The associated dataset includes prompt gamma-ray spectra measured by the HPGe detector, delayed gamma-ray spectra from copper activation, and counts from the He3 neutron detector.
DOI: 10.57760/sciencedb.14662
title: Research data set of complex nonlinear propagation effects of modulated beams in high power laser systems
title: 高功率激光系统中调制光束的复杂非线性传输效应研究数据集

description: The data set contains the single defect with steep edges, the interaction of double defects in the same plane and different planes, the regular image of the nonlinear transmission of the optical field downstream of the medium under the coupling of local defects and periodic modulation, and the mapping results of the corresponding parameters.
description: The data set contains the single defect with steep edges, the interaction of double defects in the same plane and different planes, the regular image of the nonlinear transmission of the optical field downstream of the medium under the coupling of local defects and periodic modulation, and the mapping results of the corresponding parameters.
DOI: 10.57760/sciencedb.iga.00922
title: Dataset of Crop Sowing Area in Northeast China (1949-2010)
title: 东北地区农作物播种面积数据集（1949-2010年）

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

The dataset of crop sowing area in Northeast China (1949-2010) includes the sowing area of major crops in the three provinces of Northeast China and the East Fourth League region of Inner Mongolia.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1949-2010

e. The spatial range of data

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

The dataset of crop sowing area in Northeast China (1949-2010) includes the sowing area of major crops in the three provinces of Northeast China and the East Fourth League region of Inner Mongolia.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1949-2010

e. The spatial range of data

Northeast region
DOI: 10.57760/sciencedb.iga.00923
title: Dataset of Crop Sowing Area in Northeast China (1840-1949)
title: 东北地区农作物播种面积数据集（1840-1949年）

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

The dataset of crop planting area in Northeast China (1840-1949) includes elements such as the planting area and cultivated area of the main crops in Northeast China from 1840-1949.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1840-1949

e. The spatial range of data

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

The dataset of crop planting area in Northeast China (1840-1949) includes elements such as the planting area and cultivated area of the main crops in Northeast China from 1840-1949.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1840-1949

e. The spatial range of data

Northeast region
DOI: 10.57760/sciencedb.iga.00924
title: Northeast Crop Yield Dataset (1183-1840 AD)
title: 东北地区农作物产量数据集（公元1183-1840年）

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

The crop yield dataset for the Northeast region (1183-1840 AD) includes elements such as the amount of crops collected, received, and reported during the period of 1183-1840 AD.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1183-1840 AD

e. The spatial range of data

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

The crop yield dataset for the Northeast region (1183-1840 AD) includes elements such as the amount of crops collected, received, and reported during the period of 1183-1840 AD.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1183-1840 AD

e. The spatial range of data

Northeast region
DOI: 10.57760/sciencedb.iga.00925
title: Northeast Crop Yield Dataset (1949-2010)
title: 东北地区农作物产量数据集（1949-2010年）

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

The crop yield dataset for Northeast China (1949-2010) includes factors such as grain yield, rice yield, corn yield, soybean yield, and wheat yield in the three provinces of Northeast China and the East Fourth League region of Inner Mongolia.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1949-2010

e. The spatial range of data

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

The crop yield dataset for Northeast China (1949-2010) includes factors such as grain yield, rice yield, corn yield, soybean yield, and wheat yield in the three provinces of Northeast China and the East Fourth League region of Inner Mongolia.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1949-2010

e. The spatial range of data

Northeast region
DOI: 10.57760/sciencedb.iga.00926
title: Northeast Crop Yield Dataset (1840-1949)
title: 东北地区农作物产量数据集（1840-1949年）

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

The crop yield dataset for Northeast China (1840-1949) includes factors such as harvest, yield, and production of agricultural products in the three provinces of Northeast China.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1840-1949

e. The spatial range of data

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

The crop yield dataset for Northeast China (1840-1949) includes factors such as harvest, yield, and production of agricultural products in the three provinces of Northeast China.

b. Construction purpose

Mainly used for research on agricultural production and dynamic changes in agricultural cultivation processes.

c. Service recipients

Students and researchers engaged in related research, as well as management and teaching personnel.

d. Time range of data

1840-1949

e. The spatial range of data

Northeast region