cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00001.00952
title: A Dataset of CO2 and particulate matter (PM) concentration with a 30-meter resolution on urban expressways in Guangzhou City
title: 广州市城市快速路30米分辨率CO2与颗粒物（PM）浓度数据集

description: The concentration data of urban atmospheric CO2 and particulate matter (PM) is the basic data for measuring urban air quality, providing important information for conducting urban environmental remediation and public health research. At present, environmental data such as CO2 and particulate matter (PM) are often sourced from fixed point monitoring, remote sensing images, and econometric models such as environmental monitoring stations. The spatiotemporal resolution is generally insufficient, making it difficult to reveal the spatiotemporal distribution of CO2 and particulate matter (PM) on the urban road scale. This dataset adopts a walking monitoring method, taking the Inner Ring Road in the central urban area of Guangzhou as the research area. Three typical periods of work from April to June 2023 (morning peak, noon peak, and evening peak) were selected, and CO2 and particulate matter (PM1.0, PM2.5, and PM10) concentration data were collected multiple times with a time accuracy of 1 second. The dataset was compiled into a high spatiotemporal resolution dataset for CO2 and particulate matter (PM) concentration on urban roads, This dataset reveals the refined distribution pattern of greenhouse gases and atmospheric pollutants on the urban road scale, which has practical significance for achieving refined road spatial governance and improving the quality of urban living environment. 
description: The concentration data of urban atmospheric CO2 and particulate matter (PM) is the basic data for measuring urban air quality, providing important information for conducting urban environmental remediation and public health research. At present, environmental data such as CO2 and particulate matter (PM) are often sourced from fixed point monitoring, remote sensing images, and econometric models such as environmental monitoring stations. The spatiotemporal resolution is generally insufficient, making it difficult to reveal the spatiotemporal distribution of CO2 and particulate matter (PM) on the urban road scale. This dataset adopts a walking monitoring method, taking the Inner Ring Road in the central urban area of Guangzhou as the research area. Three typical periods of work from April to June 2023 (morning peak, noon peak, and evening peak) were selected, and CO2 and particulate matter (PM1.0, PM2.5, and PM10) concentration data were collected multiple times with a time accuracy of 1 second. The dataset was compiled into a high spatiotemporal resolution dataset for CO2 and particulate matter (PM) concentration on urban roads, This dataset reveals the refined distribution pattern of greenhouse gases and atmospheric pollutants on the urban road scale, which has practical significance for achieving refined road spatial governance and improving the quality of urban living environment.
DOI: 10.57760/sciencedb.iga.00538
title: Cumulative Daily Average Temperature Dataset for Heilongjiang Province (2000-2014)
title: 黑龙江省累计多年逐日平均气温数据集(2000-2014)

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

Data File Name: Heilongjiang Province Accumulated Daily Average Temperature Dataset (2000-2014)

Contains 1 table: Excel

(1) Accumulated daily average temperature dataset for many years in Heilongjiang Province

Including cumulative daily average temperature indicators for many years

b. Construction purpose

Study the trend of temperature changes over the years in Heilongjiang Province, and explore the impact on crop yield and ecological environment.

c. Service object

Students and researchers engaged in research related to meteorology, ecology, agriculture, etc.

d. Time range of data

Data collection period is from 2000 to 2014

e. The spatial range and projection method of data

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

Data File Name: Heilongjiang Province Accumulated Daily Average Temperature Dataset (2000-2014)

Contains 1 table: Excel

(1) Accumulated daily average temperature dataset for many years in Heilongjiang Province

Including cumulative daily average temperature indicators for many years

b. Construction purpose

Study the trend of temperature changes over the years in Heilongjiang Province, and explore the impact on crop yield and ecological environment.

c. Service object

Students and researchers engaged in research related to meteorology, ecology, agriculture, etc.

d. Time range of data

Data collection period is from 2000 to 2014

e. The spatial range and projection method of data

Heilongjiang Province
DOI: 10.57760/sciencedb.12054
title: [Code]NTCdb: single-cell transcriptome database of human inflammatory disease
title: [Code]NTCdb: single-cell transcriptome database of human inflammatory disease

description: R code in [Code]NTCdb: single-cell transcriptome database of human inflammatory diseas
description: R code in [Code]NTCdb: single-cell transcriptome database of human inflammatory diseas
DOI: 10.57760/sciencedb.iga.00539
title: 1:10000 Slope Dataset of Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)
title: 黑龙江省穆棱市保安西沟小流域1:1万坡度数据集(2002)

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

Data File Name: 1:10000 Slope Dataset of Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)

Main content: Muling_ Slope

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data is from 2002.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: 1:10000 Slope Dataset of Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)

Main content: Muling_ Slope

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data is from 2002.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00540
title: 1:10000 Slope Direction Dataset of Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)
title: 黑龙江省穆棱市保安西沟小流域1:1万坡向数据集(2002)

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

Data File Name: 1:10000 Slope Direction Dataset for Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)

Main content: Muling_ Aspect

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data is from 2002.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: 1:10000 Slope Direction Dataset for Bao'an Xigou Small Watershed in Muling City, Heilongjiang Province (2002)

Main content: Muling_ Aspect

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data is from 2002.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00541
title: Planning Map of 1:10000 Comprehensive Management Zone for Soil and Water Loss in Muling City, Heilongjiang Province (2012)
title: 黑龙江省穆棱市1:1万水土流失综合治理区规划图(2012)

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

Data File Name: Planning Map of 1:10000 Comprehensive Soil and Water Loss Control Zone in Muling City, Heilongjiang Province (2012)

Main content: Data entity.jpg

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data was collected in 2012.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
description: a. Data content (data file/table name, including observation index content)

Data File Name: Planning Map of 1:10000 Comprehensive Soil and Water Loss Control Zone in Muling City, Heilongjiang Province (2012)

Main content: Data entity.jpg

b. Construction purpose

This dataset mainly provides data support for research on soil erosion control and soil conservation construction in black soil areas.

c. Service object

Students and researchers engaged in natural geography, soil erosion control, and soil and water conservation construction, as well as government decision-making departments.

d. Time range of data

The data was collected in 2012.

e. The spatial range and projection method of data

Space scope: Bao'an Xigou Small Watershed, Muling City, Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00542
title: 1:100000 Double Ridge Planting Dataset in Muling City, Heilongjiang Province (2014)
title: 黑龙江省穆棱市1:10万双埂带种植数据集(2014)

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

Data File Name: 1:100000 Double Ridge Planting Dataset in Muling City, Heilongjiang Province (2014)

Main content: Actual measurement of the area of the double ridge area of 2. kmz

Attribute Table of Compound Ground Ridge 2. xls

b. Construction purpose

This dataset mainly provides data support for the evaluation of water and soil conservation benefits and economic benefits of the double stem belt.

c. Service object

Students, researchers, and farm managers engaged in soil and water conservation research.

d. Time range of data

The data was collected in 2014.

e. The spatial range and projection method of data

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

Data File Name: 1:100000 Double Ridge Planting Dataset in Muling City, Heilongjiang Province (2014)

Main content: Actual measurement of the area of the double ridge area of 2. kmz

Attribute Table of Compound Ground Ridge 2. xls

b. Construction purpose

This dataset mainly provides data support for the evaluation of water and soil conservation benefits and economic benefits of the double stem belt.

c. Service object

Students, researchers, and farm managers engaged in soil and water conservation research.

d. Time range of data

The data was collected in 2014.

e. The spatial range and projection method of data

Space scope: Muling City, Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00543
title: Meteorological Disaster Dataset of Heilongjiang Province (2000-2014)
title: 黑龙江省气象灾害数据集(2000-2014)

description: a. Data content (data file/table name, including observation index content) Data file name: Heilongjiang Meteorological Disaster Dataset (2000-2014) includes one table: Excel (1) Meteorological Disaster Dataset of Heilongjiang Province Including disaster area indicators b. Construction purpose Study the trend of meteorological disasters in Heilongjiang Province over the years and explore their impact on crop yield and ecological environment. c. Service object Students and researchers engaged in research related to meteorology, ecology, agriculture, etc. d. Time range of data Data collection period is from 2000 to 2014 e. The spatial range and projection method of data Heilongjiang Province
description: a. Data content (data file/table name, including observation index content) Data file name: Heilongjiang Meteorological Disaster Dataset (2000-2014) includes one table: Excel (1) Meteorological Disaster Dataset of Heilongjiang Province Including disaster area indicators b. Construction purpose Study the trend of meteorological disasters in Heilongjiang Province over the years and explore their impact on crop yield and ecological environment. c. Service object Students and researchers engaged in research related to meteorology, ecology, agriculture, etc. d. Time range of data Data collection period is from 2000 to 2014 e. The spatial range and projection method of data Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00544
title: Forest Area and Volume Dataset of Heilongjiang Province (1950-1980)
title: 黑龙江省森林面积、蓄积数据集（1950-1980）

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

Data File Name: Forest Area and Volume Dataset of Heilongjiang Province (1950-1980)

Contains 1 table: Excel

(1) Forest Area and Volume Table of Heilongjiang Province from 1950 to 1980

It includes indicators such as area and storage capacity.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

The data was collected from 1950 to 1980

e. The spatial range and projection method of data

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

Data File Name: Forest Area and Volume Dataset of Heilongjiang Province (1950-1980)

Contains 1 table: Excel

(1) Forest Area and Volume Table of Heilongjiang Province from 1950 to 1980

It includes indicators such as area and storage capacity.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

The data was collected from 1950 to 1980

e. The spatial range and projection method of data

Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00545
title: Forest Resource Area Dataset of Heilongjiang Province (1979-1984)
title: 黑龙江省森林资源面积数据集（1979-1984）

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

Data file name: Heilongjiang Province Forest Resource Area Dataset (1979-1984)

Contains 1 table: Excel

(1) Forest Resource Area Dataset of Heilongjiang Province (1979-1984)

It includes indicators such as operating area, forestry land area, and forest species area.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

The data was collected from 1979 to 1984

e. The spatial range and projection method of data

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

Data file name: Heilongjiang Province Forest Resource Area Dataset (1979-1984)

Contains 1 table: Excel

(1) Forest Resource Area Dataset of Heilongjiang Province (1979-1984)

It includes indicators such as operating area, forestry land area, and forest species area.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

The data was collected from 1979 to 1984

e. The spatial range and projection method of data

Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00546
title: Forest Resources Dataset of Heilongjiang Province (1937,1940)
title: 黑龙江省森林资源数据集（1937，1940）

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

Data file name: Heilongjiang Province Forest Resources Dataset (19371940)

Contains 2 tables: Excel

(1) Forest Resources Table of Heilongjiang Province in 1937

(2) Forest Resources Table of Heilongjiang Province in 1940

It includes indicators such as area and storage capacity.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

Data collection time is 1937, 1940

e. The spatial range and projection method of data

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

Data file name: Heilongjiang Province Forest Resources Dataset (19371940)

Contains 2 tables: Excel

(1) Forest Resources Table of Heilongjiang Province in 1937

(2) Forest Resources Table of Heilongjiang Province in 1940

It includes indicators such as area and storage capacity.

b. Construction purpose

Understand the characteristics of forest resources in Heilongjiang, and explore the rational layout and production of forestry resources.

c. Service object

Students, managers, and researchers engaged in forestry related research

d. Time range of data

Data collection time is 1937, 1940

e. The spatial range and projection method of data

Heilongjiang Province
DOI: 10.57760/sciencedb.iga.00547
title: Daily Average Temperature Dataset of Heilongjiang Province (1952-1977)
title: 黑龙江省日平均气温数据集（1952-1977）

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

Data File Name: Daily Average Temperature Dataset of Heilongjiang Province (1952-1977)

Contains 1 table: Excel

(1) Daily Average Temperature Dataset of Heilongjiang Province (1952-1977)

It includes temperature indicators.

b. Construction purpose

Study the dynamic changes in temperature over the years and explore the impact of temperature changes on yield and ecological environment.

c. Service object

Students, managers, and researchers engaged in research related to meteorology, ecology, agriculture, etc

d. Time range of data

Data collection period: 1952-1977

e. The spatial range and projection method of data

Shuangcheng, Acheng, Hulan, Yi'an, Nehe, Jixian, Shuangyashan, Bayan, Helen, Kedong, Qing'an, Binxian, Suiling, Lanxi, Wangkui
description: a. Data content (data file/table name, including observation index content)

Data File Name: Daily Average Temperature Dataset of Heilongjiang Province (1952-1977)

Contains 1 table: Excel

(1) Daily Average Temperature Dataset of Heilongjiang Province (1952-1977)

It includes temperature indicators.

b. Construction purpose

Study the dynamic changes in temperature over the years and explore the impact of temperature changes on yield and ecological environment.

c. Service object

Students, managers, and researchers engaged in research related to meteorology, ecology, agriculture, etc

d. Time range of data

Data collection period: 1952-1977

e. The spatial range and projection method of data

Shuangcheng, Acheng, Hulan, Yi'an, Nehe, Jixian, Shuangyashan, Bayan, Helen, Kedong, Qing'an, Binxian, Suiling, Lanxi, Wangkui
DOI: 10.57760/sciencedb.12066
title: Artificial intelligence research progress in pelvic floor ultrasound
title: Artificial intelligence research progress in pelvic floor ultrasound

description: Pelvic floor ultrasound is used to image the pelvic floor structure and relative spatial anatomical position. The method enables to better represent the functions and positions of pelvic organs for the diagnosis and treatment of various gynecological diseases such as female pelvic floor dysfunction diseases. The emergence of artificial intelligence (AI) on the automatic analysis of medical image data is expected to revolutionize the pelvic floor ultrasound in clinical practice. By efficiently and accurately preprocessing and analyzing images, AI could solve the current problems of conventional pelvic floor ultrasound, such as strong dependence on experience, long time-consuming manual measurement and large human error. The narrative review reports the advances in the AI applied to pelvic floor ultrasound, and thus, the promises for improving the understanding and treatment of female pelvic floor in diseases and pregnancy. 
description: Pelvic floor ultrasound is used to image the pelvic floor structure and relative spatial anatomical position. The method enables to better represent the functions and positions of pelvic organs for the diagnosis and treatment of various gynecological diseases such as female pelvic floor dysfunction diseases. The emergence of artificial intelligence (AI) on the automatic analysis of medical image data is expected to revolutionize the pelvic floor ultrasound in clinical practice. By efficiently and accurately preprocessing and analyzing images, AI could solve the current problems of conventional pelvic floor ultrasound, such as strong dependence on experience, long time-consuming manual measurement and large human error. The narrative review reports the advances in the AI applied to pelvic floor ultrasound, and thus, the promises for improving the understanding and treatment of female pelvic floor in diseases and pregnancy.
DOI: 10.57760/sciencedb.12068
title: RNA seq data from the article "Human SHARPIN haploinsufficiency leads to partial LUBAC deficiency, autoimmunity, autoinflammation and antibody deficiency"
title: RNA seq data from the article "Human SHARPIN haploinsufficiency leads to partial LUBAC deficiency, autoimmunity, autoinflammation and antibody deficiency"

description: Data of normalized (with DESeq2) gene expression from two bulk RNA seq analysis : -the first one on SV40 immortalized fibroblasts : 3 healthy controls, 2 samples from the patient, 1 sample from HOIL deficient patient. Each patient/control was either left untreated or stimulated with TNFa-the second one on CD14+ sorted monocytes from PBMCs : 3 healhy controls, 2 samples from the patient.
description: Data of normalized (with DESeq2) gene expression from two bulk RNA seq analysis : -the first one on SV40 immortalized fibroblasts : 3 healthy controls, 2 samples from the patient, 1 sample from HOIL deficient patient. Each patient/control was either left untreated or stimulated with TNFa-the second one on CD14+ sorted monocytes from PBMCs : 3 healhy controls, 2 samples from the patient.
DOI: 10.57760/sciencedb.12084
title: The Neural Mechanisms of Identifiable Victim Effect in Prosocial
title: The Neural Mechanisms of Identifiable Victim Effect in Prosocial

description: The dataset of the study——The Neural Mechanisms of Identifiable Victim Effect in Prosocial.
description: The dataset of the study——The Neural Mechanisms of Identifiable Victim Effect in Prosocial.