cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.o00130.00052
title: Monitoring of Polio Antibody Levels in Different Regions of Chongqing under Existing Immunization Programs
title: 重庆市现有免疫程序下不同地区脊髓灰质炎抗体水平监测

description: Objective To evaluate the neutralizing antibody levels of poliomyelitis for newborns after primary polio immunization with different immunization schedules in Chongqing, and to provide basis for the prevention and control strategy of poliomyelitis.Method Four regions in Chongqing were randomly divided into two different vaccination schedules: 3IPV and 2IPV+bOPV, and tested for serum polio neutralizing antibodies 1~6 months after primary vaccination.Result For different sequential immunization schedules: The positive rates of poliovirus type I in the 2IPV+bOPV group and 3IPV group were 99.46%、100%, respectively(P＞0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 2048 and 128, respectively (P&lt;0.05); The positive rates of poliovirus type Ⅱ in the 2IPV+bOPV group and 3IPV group were 99.83%、100%, respectively(P＜0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 96 and 192, respectively (P&lt;0.05); The positive rates of poliovirus type Ⅲ in the 2IPV+bOPV group and 3IPV group were 99.46%、99.55%, respectively(P＞0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 2048 and 256, respectively (P&lt;0.05).Conclusion Different immunization schedules are one of the most important influencing factors. The poliovirus type Ⅱ antibody levels of 3IPV group are higher than those of the 2IPV-bOPV group. To reduce and prevent VAPP and cVDPV2 for poliovirus type Ⅱ, 3IPV is a better choice.
description: Objective To evaluate the neutralizing antibody levels of poliomyelitis for newborns after primary polio immunization with different immunization schedules in Chongqing, and to provide basis for the prevention and control strategy of poliomyelitis.Method Four regions in Chongqing were randomly divided into two different vaccination schedules: 3IPV and 2IPV+bOPV, and tested for serum polio neutralizing antibodies 1~6 months after primary vaccination.Result For different sequential immunization schedules: The positive rates of poliovirus type I in the 2IPV+bOPV group and 3IPV group were 99.46%、100%, respectively(P＞0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 2048 and 128, respectively (P&lt;0.05); The positive rates of poliovirus type Ⅱ in the 2IPV+bOPV group and 3IPV group were 99.83%、100%, respectively(P＜0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 96 and 192, respectively (P&lt;0.05); The positive rates of poliovirus type Ⅲ in the 2IPV+bOPV group and 3IPV group were 99.46%、99.55%, respectively(P＞0.05),and the median of antibody titer of 2IPV+bOPV group and 3IPV group were 2048 and 256, respectively (P&lt;0.05).Conclusion Different immunization schedules are one of the most important influencing factors. The poliovirus type Ⅱ antibody levels of 3IPV group are higher than those of the 2IPV-bOPV group. To reduce and prevent VAPP and cVDPV2 for poliovirus type Ⅱ, 3IPV is a better choice.
DOI: 10.15468/dl.s9qc3v
title: Occurrence Download

description: A dataset containing 337473 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is University of Florida Invertebrate Paleontology"
 ]
}

 The dataset includes 337473 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000785-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.10921
title: Mass extinction coincided with expanded continental margin euxinia during the Cambrian Age 4
title: Mass extinction coincided with expanded continental margin euxinia during the Cambrian Age 4

description: Table S1 Geochemical data of analyzed samples from the Well WN2 section
description: Table S1 Geochemical data of analyzed samples from the Well WN2 section
DOI: 10.57760/sciencedb.j00186.00229
title: Origin plots' data
title: Origin plots' data

description: The origin plots data for paper： Development of multi-group Monte-Carlo transport and depletion coupling calculation method and verification with metal-fueled fast reactor
description: The origin plots data for paper： Development of multi-group Monte-Carlo transport and depletion coupling calculation method and verification with metal-fueled fast reactor
DOI: 10.57760/sciencedb.o00130.00056
title: Situation and influencing factors of anxiety and depression in convalescent patients with COVID-19
title: 新型冠状病毒肺炎恢复期患者焦虑抑郁情况及其影响因素分析

description: Objective To provide evidence for the implementation of targeted psychological intervention for patients with Coronavirus Disease 2019 (COVID-19) in the convalescent period through a follow-up survey of anxiety and depression in a hospital in Shijiazhuang City.Methods Generalized Anxiety Disorde-7 and Patient Health Questionnaire-9 were used to analyze the anxiety and depression of COVID-19 patients 6 months after rehabilitation and 12 months after discharge, and logistic regression was used to analyze the influencing factors.Results 538 COVID-19 rehabilitation patients were followed up for 6 months. The incidence of anxiety and depression were 9.9% and 8.4% respectively; The incidence of anxiety and depression was 13.6% and 14.7% respectively in 265 patients after 12 months of follow-up. Multivariable logistic regression analysis showed that patients with diabetes in COVID-19 convalescent period had a higher risk of depression (OR=2.32, 95% CI: 1.02-5.28, P=0.045), and the association between heart disease and anxiety in COVID-19 convalescent patients was also statistically significant (OR=3.83, 95% CI: 1.18-12.45, P=0.026).Conclusion Timely psychological intervention and treatment should be provided to patients. COVID-19 Patients with diabetes or heart disease are more likely to suffer from mental health problems, and personalized intervention should be implemented as soon as possible.
description: Objective To provide evidence for the implementation of targeted psychological intervention for patients with Coronavirus Disease 2019 (COVID-19) in the convalescent period through a follow-up survey of anxiety and depression in a hospital in Shijiazhuang City.Methods Generalized Anxiety Disorde-7 and Patient Health Questionnaire-9 were used to analyze the anxiety and depression of COVID-19 patients 6 months after rehabilitation and 12 months after discharge, and logistic regression was used to analyze the influencing factors.Results 538 COVID-19 rehabilitation patients were followed up for 6 months. The incidence of anxiety and depression were 9.9% and 8.4% respectively; The incidence of anxiety and depression was 13.6% and 14.7% respectively in 265 patients after 12 months of follow-up. Multivariable logistic regression analysis showed that patients with diabetes in COVID-19 convalescent period had a higher risk of depression (OR=2.32, 95% CI: 1.02-5.28, P=0.045), and the association between heart disease and anxiety in COVID-19 convalescent patients was also statistically significant (OR=3.83, 95% CI: 1.18-12.45, P=0.026).Conclusion Timely psychological intervention and treatment should be provided to patients. COVID-19 Patients with diabetes or heart disease are more likely to suffer from mental health problems, and personalized intervention should be implemented as soon as possible.
DOI: 10.57760/sciencedb.iga.00333
title: Russian Far East 30m Forest Spatial Dataset (2015)
title: 俄罗斯远东30m森林空间数据集(2015年)

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

The 30m forest spatial dataset of the Russian Far East (2015) reflects the spatial distribution of forests in the Russian Far East region in 2015.

b. Construction purpose

By extracting information from remote sensing image data in 2015, we analyzed the forest distribution in the Far East region of Russia, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

2015

e. The spatial range of data

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

The 30m forest spatial dataset of the Russian Far East (2015) reflects the spatial distribution of forests in the Russian Far East region in 2015.

b. Construction purpose

By extracting information from remote sensing image data in 2015, we analyzed the forest distribution in the Far East region of Russia, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00334
title: Russian Far East 30m Forest Spatial Dataset (1990)
title: 俄罗斯远东30m森林空间数据集(1990年)

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

The 30m forest spatial dataset of the Russian Far East (1990) reflects the spatial distribution of forests in the Russian Far East region in 1990.

b. Construction purpose

By extracting information from remote sensing image data in 1990, the forest distribution in the Far East region of Russia was analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

1990

e. The spatial range of data

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

The 30m forest spatial dataset of the Russian Far East (1990) reflects the spatial distribution of forests in the Russian Far East region in 1990.

b. Construction purpose

By extracting information from remote sensing image data in 1990, the forest distribution in the Far East region of Russia was analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

1990

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00335
title: Russian Far East 30m Forest Increase Spatial Dataset (1990-2015)
title: 俄罗斯远东30m森林增加空间数据集(1990-2015年)

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

The Russian Far East 30m Forest Increase Spatial Dataset (1990-2015) reflects the spatial distribution of forest increase in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, the forest change situation in the Far East region of Russia is analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

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

The Russian Far East 30m Forest Increase Spatial Dataset (1990-2015) reflects the spatial distribution of forest increase in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, the forest change situation in the Far East region of Russia is analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00336
title: Russian Far East 30m Forest Reduction Spatial Dataset (1990-2015)
title: 俄罗斯远东30m森林减少空间数据集(1990-2015年)

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

The 30m forest reduction spatial dataset in the Russian Far East (1990-2015) reflects the spatial distribution of forest reduction in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, the forest change situation in the Far East region of Russia is analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

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

The 30m forest reduction spatial dataset in the Russian Far East (1990-2015) reflects the spatial distribution of forest reduction in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, the forest change situation in the Far East region of Russia is analyzed, providing data support and theoretical basis for forestry planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and forestry.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.15468/dl.72mneu
title: Occurrence Download

description: A dataset containing 336281 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Albert J. Cook Arthropod Research Collection"
 ]
}

 The dataset includes 336281 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000787-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwyd9r
title: Occurrence Download

description: A dataset containing 333244 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventaire général de la flore vasculaire sur le territoire d'agrément du CBNPMP-Inventaire général de la flore vasculaire de Midi-Pyrénées par le CBNPMP"
 ]
}

 The dataset includes 333244 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000786-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.iga.00337
title: Russian Far East 30m Construction Land Spatial Dataset (2015)
title: 俄罗斯远东30m建设用地空间数据集(2015年)

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

The spatial dataset of 30m construction land in the Russian Far East (2015) reflects the spatial distribution of construction land in the Russian Far East region in 2015.

b. Construction purpose

By extracting information from remote sensing image data in 2015, the distribution of construction land in the Far East region of Russia was analyzed, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

2015

e. The spatial range of data

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

The spatial dataset of 30m construction land in the Russian Far East (2015) reflects the spatial distribution of construction land in the Russian Far East region in 2015.

b. Construction purpose

By extracting information from remote sensing image data in 2015, the distribution of construction land in the Far East region of Russia was analyzed, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00338
title: Russian Far East 30m Construction Land Spatial Dataset (1990)
title: 俄罗斯远东30m建设用地空间数据集(1990年)

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

The 30m construction land spatial dataset in the Russian Far East (1990) reflects the spatial distribution of construction land in the Russian Far East region in 1990.

b. Construction purpose

By extracting information from remote sensing image data in 1990, the distribution of construction land in the Far East region of Russia was analyzed, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

1990

e. The spatial range of data

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

The 30m construction land spatial dataset in the Russian Far East (1990) reflects the spatial distribution of construction land in the Russian Far East region in 1990.

b. Construction purpose

By extracting information from remote sensing image data in 1990, the distribution of construction land in the Far East region of Russia was analyzed, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

1990

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00339
title: Russian Far East 30m Construction Land Increase Spatial Dataset (1990-2015)
title: 俄罗斯远东30m建设用地增加空间数据集(1990-2015年)

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

The spatial dataset of 30m construction land increase in the Russian Far East (1990-2015) reflects the spatial distribution of construction land increase in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, this study analyzes the changes in construction land in the Far East region of Russia, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

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

The spatial dataset of 30m construction land increase in the Russian Far East (1990-2015) reflects the spatial distribution of construction land increase in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, this study analyzes the changes in construction land in the Far East region of Russia, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00340
title: Russian Far East 30m Construction Land Reduction Spatial Dataset (1990-2015)
title: 俄罗斯远东30m建设用地减少空间数据集(1990-2015年)

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

The Russian Far East 30m Construction Land Reduction Spatial Dataset (1990-2015) reflects the spatial distribution of construction land reduction in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, this study analyzes the changes in construction land in the Far East region of Russia, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

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

The Russian Far East 30m Construction Land Reduction Spatial Dataset (1990-2015) reflects the spatial distribution of construction land reduction in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from 1990 and 2015, this study analyzes the changes in construction land in the Far East region of Russia, providing data support and theoretical basis for urban planning and management.

c. Service object

It can widely serve scientific researchers in related disciplines such as natural geography and urban planning.

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00341
title: Survey Dataset of Wetland Plants in the Southwest Plateau Region (2013-2017)
title: 西南高原区湿地植物调查数据集（2013-2017年）

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

The Southwest Plateau Wetland Plant Survey Dataset (2013-2017) includes the names, locations, longitude and latitude, altitude, soil types, and plant species of various wetland vegetation formations in the Southwest Plateau region.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity. They have irreplaceable ecological functions and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth". This dataset provides a detailed investigation of the wetland plant status in temperate humid and semi humid areas, which can provide data support for wetland plant protection and ecological restoration.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2013-2017

e. The spatial range of data

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

The Southwest Plateau Wetland Plant Survey Dataset (2013-2017) includes the names, locations, longitude and latitude, altitude, soil types, and plant species of various wetland vegetation formations in the Southwest Plateau region.

b. Construction purpose

Wetlands, as a unique and important ecosystem on the surface of land, have rich biodiversity and high productivity. They have irreplaceable ecological functions and play an extremely important role in global ecological balance, earning the reputation of "the kidney of the earth". This dataset provides a detailed investigation of the wetland plant status in temperate humid and semi humid areas, which can provide data support for wetland plant protection and ecological restoration.

c. Service object

It can widely serve scientific researchers in related disciplines such as ecological protection and ecological monitoring.

d. Time range of data

2013-2017

e. The spatial range of data

Southwest Plateau Region