cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.iga.00331
title: Russian Far East 30m Water Body Increase Spatial Dataset (1990-2015)
title: 俄罗斯远东30m水体增加空间数据集(1990-2015年)

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

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

b. Construction purpose

By comparing remote sensing image data from two periods in 1990 and 2015, this study analyzes the changes in water bodies in the Far East region of Russia, providing data support and theoretical basis for wetland protection and utilization.

c. Service object

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

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 water body increase in the Russian Far East (1990-2015) reflects the spatial distribution of water body increase in the Russian Far East region from 1990 to 2015.

b. Construction purpose

By comparing remote sensing image data from two periods in 1990 and 2015, this study analyzes the changes in water bodies in the Far East region of Russia, providing data support and theoretical basis for wetland protection and utilization.

c. Service object

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

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.iga.00332
title: Russian Far East 30m Water Reduction Spatial Dataset (1990-2015)
title: 俄罗斯远东30m水体减少空间数据集(1990-2015年)

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

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

b. Construction purpose

By comparing remote sensing image data from two periods in 1990 and 2015, this study analyzes the changes in water bodies in the Far East region of Russia, providing data support and theoretical basis for wetland protection and utilization.

c. Service object

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

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

b. Construction purpose

By comparing remote sensing image data from two periods in 1990 and 2015, this study analyzes the changes in water bodies in the Far East region of Russia, providing data support and theoretical basis for wetland protection and utilization.

c. Service object

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

d. Time range of data

From 1990 to 2015

e. The spatial range of data

russian far east
DOI: 10.57760/sciencedb.10886
title: Data acquired by the neutron/gamma discriminator
title: Data acquired by the neutron/gamma discriminator

description: This compressed file provides the spectral data for the manuscript titled "Pulse-shaping method for real-time neutron/gamma discrimination at low sampling rates". The compressed file consists of multiple folders, each of which is described as follows:(1) A tested gamma spectrum of Am-241.(2) Waveforms containing several pulses captured with an integrated logic analyzer from the Vivado.(3) Two folders containing gamma and neutron digital signals and shaped signals. These signals were also captured with an integrated logic analyzer from the Vivado.(4) PSD plots measured at different sampling rates. They were uploaded from the discriminator through the serial port and can be opened with Notepad.(5) Response spectrum of mixed neutron and gamma signals and neutron response spectrum.
description: This compressed file provides the spectral data for the manuscript titled "Pulse-shaping method for real-time neutron/gamma discrimination at low sampling rates". The compressed file consists of multiple folders, each of which is described as follows:(1) A tested gamma spectrum of Am-241.(2) Waveforms containing several pulses captured with an integrated logic analyzer from the Vivado.(3) Two folders containing gamma and neutron digital signals and shaped signals. These signals were also captured with an integrated logic analyzer from the Vivado.(4) PSD plots measured at different sampling rates. They were uploaded from the discriminator through the serial port and can be opened with Notepad.(5) Response spectrum of mixed neutron and gamma signals and neutron response spectrum.
DOI: 10.57760/sciencedb.agriculture.00018
title: Data set of soil total nitrogen content and soil total phosphorus content of the Kherlen River Basin in 2022
title: 2022年克鲁伦河流域土壤全氮含量与土壤全磷含量数据集

description: The Krulun River Basin spans China and Mongolia, and its ecological and environmental security has received increasing attention. Understanding the soil total nitrogen and soil total phosphorus content in the basin is crucial for exploring the sources and quantities of non-point source pollution. This dataset utilizes a total of 18 auxiliary variables, including terrain, climate, soil properties, vegetation, and spatial location, and uses a two-point machine learning method to produce spatial distribution data of soil total nitrogen and soil total phosphorus content at 250 m spatial resolution in the Krulun River Basin. And based on the ten-fold cross-validation method, it is proved that the two-point machine learning algorithm can improve the prediction accuracy by more than 10 % compared with the ordinary kriging algorithm. This dataset can be used for estimating the distribution of non-point source pollution load in the Krulun River Basin, as well as for soil and vegetation research.
description: The Krulun River Basin spans China and Mongolia, and its ecological and environmental security has received increasing attention. Understanding the soil total nitrogen and soil total phosphorus content in the basin is crucial for exploring the sources and quantities of non-point source pollution. This dataset utilizes a total of 18 auxiliary variables, including terrain, climate, soil properties, vegetation, and spatial location, and uses a two-point machine learning method to produce spatial distribution data of soil total nitrogen and soil total phosphorus content at 250 m spatial resolution in the Krulun River Basin. And based on the ten-fold cross-validation method, it is proved that the two-point machine learning algorithm can improve the prediction accuracy by more than 10 % compared with the ordinary kriging algorithm. This dataset can be used for estimating the distribution of non-point source pollution load in the Krulun River Basin, as well as for soil and vegetation research.
DOI: 10.5281/zenodo.15291284
title: DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN EDUCATION

description: This work attempts to investigate about the usage of artificial intelligence and digital technologies on contemporary educational systems regarding how it relates with teaching, learning, and student evaluation. Although increasingly implemented, there is a large gap in knowledge about ethical issues, the long term impact on autonomy as a learner, and changing roles for the educator. In order to address this, the study employs a qualitative literature analysis of previous research and observation of the context of Uzbekistan’s education sector. Results show that although AI based systems offer structured support in handling content delivery and evaluation, risks associated with academic dishonesty, data privacy, and if depended on too much, AI based systems can easily end up as a bad company. The proposals of the results are that it is necessary to develop balanced digital strategies aimed at reinforcing both technologic capacity and human centered values in learning. Indeed, the resulting implications necessitate the construction of ethical guidelines and ongoing research of the cognitive and behavioral consequences of AI environments of learning.
DOI: 10.5281/zenodo.15291285
title: DIGITAL TECHNOLOGIES AND ARTIFICIAL INTELLIGENCE IN EDUCATION

description: This work attempts to investigate about the usage of artificial intelligence and digital technologies on contemporary educational systems regarding how it relates with teaching, learning, and student evaluation. Although increasingly implemented, there is a large gap in knowledge about ethical issues, the long term impact on autonomy as a learner, and changing roles for the educator. In order to address this, the study employs a qualitative literature analysis of previous research and observation of the context of Uzbekistan’s education sector. Results show that although AI based systems offer structured support in handling content delivery and evaluation, risks associated with academic dishonesty, data privacy, and if depended on too much, AI based systems can easily end up as a bad company. The proposals of the results are that it is necessary to develop balanced digital strategies aimed at reinforcing both technologic capacity and human centered values in learning. Indeed, the resulting implications necessitate the construction of ethical guidelines and ongoing research of the cognitive and behavioral consequences of AI environments of learning.
DOI: 10.57760/sciencedb.10888
title: Limit analysis for 3D stability of slurry trench under unsaturated seepage conditions
title: Limit analysis for 3D stability of slurry trench under unsaturated seepage conditions

description: To address stability issues in constructing underground diaphragm wall trenches, we applied an upper-bound limit analysis method using a three-dimensional rotation failure mechanism. This approach considered unsaturated stable seepage conditions. We derived the safety factor expression through an energy balance equation and employed a genetic algorithm to find the minimum safety factor and critical slip surface. We analyzed the impact of various parameters on trench stability under unsaturated seepage conditions. Our results show that 3D analysis yields higher safety factors compared to 2D analysis. Safety increases with slurry-to-soil density ratio, cohesion, and friction angle, but decreases with reduced slurry depth relative to trench depth. Suction in unsaturated soil enhances trench stability, with its effect varying based on seepage conditions and soil types. Additional load increases decrease the safety factor, especially with greater three-dimensional effects. Reducing slurry height expands the critical slip surface area, with different seepage conditions significantly affecting clayey trenches but having a negligible impact on sandy ones. These findings provide valuable insights for designing underground diaphragm wall trenches in unsaturated seepage conditions.
description: To address stability issues in constructing underground diaphragm wall trenches, we applied an upper-bound limit analysis method using a three-dimensional rotation failure mechanism. This approach considered unsaturated stable seepage conditions. We derived the safety factor expression through an energy balance equation and employed a genetic algorithm to find the minimum safety factor and critical slip surface. We analyzed the impact of various parameters on trench stability under unsaturated seepage conditions. Our results show that 3D analysis yields higher safety factors compared to 2D analysis. Safety increases with slurry-to-soil density ratio, cohesion, and friction angle, but decreases with reduced slurry depth relative to trench depth. Suction in unsaturated soil enhances trench stability, with its effect varying based on seepage conditions and soil types. Additional load increases decrease the safety factor, especially with greater three-dimensional effects. Reducing slurry height expands the critical slip surface area, with different seepage conditions significantly affecting clayey trenches but having a negligible impact on sandy ones. These findings provide valuable insights for designing underground diaphragm wall trenches in unsaturated seepage conditions.
DOI: 10.57760/sciencedb.10892
title: Data for Training and Testing Radiation Detection Algorithms in an Urban Environment
title: Data for Training and Testing Radiation Detection Algorithms in an Urban Environment

description: The government routinely performs radiological response deployments to search for the presence of illicit nuclear materials (e.g., highly enriched uranium and weapons-grade plutonium) in a specified area. The deployments can be intelligence driven, in support of law enforcement, and for planned events such as WrestleMania, presidential inaugurations, or political conventions. In a typical deployment, radiation detection systems carried by human operators or mounted on vehicles move in a clearing pattern through the search area. Search teams rely on radiation detection algorithms running on these systems in real time to alert them to the presence of an illicit threat source. The detection and identification of sources is complicated by large variation of natural radiation background throughout a search area and the potential presence of localized non-threat sources such as patients undergoing treatment with medical isotopes. As a result, detection algorithms must be carefully balanced between missing real sources (false negatives) and reporting too many false alarms (false positives).The purpose of this data set is to spur innovations in detecting, identifying, and localizing nuclear materials inurban search missions.
description: The government routinely performs radiological response deployments to search for the presence of illicit nuclear materials (e.g., highly enriched uranium and weapons-grade plutonium) in a specified area. The deployments can be intelligence driven, in support of law enforcement, and for planned events such as WrestleMania, presidential inaugurations, or political conventions. In a typical deployment, radiation detection systems carried by human operators or mounted on vehicles move in a clearing pattern through the search area. Search teams rely on radiation detection algorithms running on these systems in real time to alert them to the presence of an illicit threat source. The detection and identification of sources is complicated by large variation of natural radiation background throughout a search area and the potential presence of localized non-threat sources such as patients undergoing treatment with medical isotopes. As a result, detection algorithms must be carefully balanced between missing real sources (false negatives) and reporting too many false alarms (false positives).The purpose of this data set is to spur innovations in detecting, identifying, and localizing nuclear materials inurban search missions.
DOI: 10.57760/sciencedb.10893
title: Efficacy and safety of ultrasound-guided percutaneous radiofrequency ablation for synovial hyperplasia：An animal experimental study
title: Efficacy and safety of ultrasound-guided percutaneous radiofrequency ablation for synovial hyperplasia：An animal experimental study

description: Experimental data on ultrasound-guided percutaneous radiofrequency ablation for the treatment of synovial hyperplasia in rabbit AIA model
description: Experimental data on ultrasound-guided percutaneous radiofrequency ablation for the treatment of synovial hyperplasia in rabbit AIA model
DOI: 10.57760/sciencedb.10894
title: TG_InIRA_Gravity_Anomaly_Xitai
title: TG_InIRA_Gravity_Anomaly_Xitai

description: This data is the gravity anomaly of Tiangong-2 Interferometric Imaging Radar Altimeter in an ocean area of the western Pacific.
description: This data is the gravity anomaly of Tiangong-2 Interferometric Imaging Radar Altimeter in an ocean area of the western Pacific.
DOI: 10.57760/sciencedb.space.01020
title: Interferometric radar extraction of motion data for different limbs
title: Interferometric radar extraction of motion data for different limbs

description: This data is the extraction of human limbs based on Micro-Doppler-Range trajectories using wideband interferometric radar.
description: This data is the extraction of human limbs based on Micro-Doppler-Range trajectories using wideband interferometric radar.
DOI: 10.57760/sciencedb.10905
title: Association of Dialysate Thymosin β4 with Peritoneal Inflammation, Dialysis Ultrafiltration and Adequacy in Peritoneal Dialysis Patients: A Prospective Cohort Study
title: Association of Dialysate Thymosin β4 with Peritoneal Inflammation, Dialysis Ultrafiltration and Adequacy in Peritoneal Dialysis Patients: A Prospective Cohort Study

description: Data of The Clinical Study---Association of Dialysate Thymosin β4 with Peritoneal Inflammation, Dialysis Ultrafiltration and Adequacy in Peritoneal Dialysis Patients: A Prospective Cohort Study
description: Data of The Clinical Study---Association of Dialysate Thymosin β4 with Peritoneal Inflammation, Dialysis Ultrafiltration and Adequacy in Peritoneal Dialysis Patients: A Prospective Cohort Study
DOI: 10.57760/sciencedb.10908
title: A dataset of wild vascular plants and their distributions in Tianjin, China
title: 天津野生维管植物编目及其分布数据集

description: The dataset consists of 2 data file. File1 A checklist of wild vascular plants in Tianjin and File 2 List of families and genera of wild vascular plants in Tianjin. File1 contains 996 items (rows) and 16 fields (columns) as following: sequence number, main categories of vascular plants, sequence number of family, Chinese family, family, Chinese genus, genus, Chinese name, scientific name, distribution areas, reference or voucher specimen,collector and number , native/introduced, invasive species，rank in the List of National Key Protected Wild Plants 2021，knownledge degree.
description: The dataset consists of 2 data file. File1 A checklist of wild vascular plants in Tianjin and File 2 List of families and genera of wild vascular plants in Tianjin. File1 contains 996 items (rows) and 16 fields (columns) as following: sequence number, main categories of vascular plants, sequence number of family, Chinese family, family, Chinese genus, genus, Chinese name, scientific name, distribution areas, reference or voucher specimen,collector and number , native/introduced, invasive species，rank in the List of National Key Protected Wild Plants 2021，knownledge degree.
DOI: 10.57760/sciencedb.o00130.00051
title: The incidence and influencing factors of HIV/AIDS-associated mental disorders.
title: HIV/AIDS相关精神障碍患病状况及影响因素研究

description: Objective To investigate the incidence and influencing factors of mental disorders in people living with HIV/AIDS. And provide reference for clinical prevention of HIV associated mental disorder.Methods People living with HIV/AIDS admitted to our hospital from May 2017 to March 2023 were stratified randomly selected. Review the first hospitalization records and laboratory test data through the medical record management system then extracting relevant parameters as baseline data and followed up, Cox regression was used to analyze the influencing factors of HIV associated mental disorder.Results A total of 503 people living with HIV/AIDS meeting the study criteria were included, 71 patients diagnosed with mental disorder during follow-up, with a incidence of 14.1%. Multivariate analysis showed poor sleep (HR=3.813, 95%CI: 2.237~6.501), ART side effects (HR=1.740, 95%CI: 1.047~2.891), poor insight (HR=7.213, 95%CI: 4.277~12.163), abnormal CD4/CD8 cell ratio (HR=2.772, 95%CI: 1.246~6.163) and abnormal creatine kinase (HR=1.765, 95%CI: 1.086~2.871) were risk factors for HIV associated mental disorder.Conclusions People living with HIV/AIDS have a relatively high incidence of mental disorders within the first year of diagnosis, the influencing factors should be identified as early as possible when HIV/AIDS patients are diagnosed, and corresponding intervention plans should be formulated to prevent the occurrence and development of HIV associated mental disorder.
description: Objective To investigate the incidence and influencing factors of mental disorders in people living with HIV/AIDS. And provide reference for clinical prevention of HIV associated mental disorder.Methods People living with HIV/AIDS admitted to our hospital from May 2017 to March 2023 were stratified randomly selected. Review the first hospitalization records and laboratory test data through the medical record management system then extracting relevant parameters as baseline data and followed up, Cox regression was used to analyze the influencing factors of HIV associated mental disorder.Results A total of 503 people living with HIV/AIDS meeting the study criteria were included, 71 patients diagnosed with mental disorder during follow-up, with a incidence of 14.1%. Multivariate analysis showed poor sleep (HR=3.813, 95%CI: 2.237~6.501), ART side effects (HR=1.740, 95%CI: 1.047~2.891), poor insight (HR=7.213, 95%CI: 4.277~12.163), abnormal CD4/CD8 cell ratio (HR=2.772, 95%CI: 1.246~6.163) and abnormal creatine kinase (HR=1.765, 95%CI: 1.086~2.871) were risk factors for HIV associated mental disorder.Conclusions People living with HIV/AIDS have a relatively high incidence of mental disorders within the first year of diagnosis, the influencing factors should be identified as early as possible when HIV/AIDS patients are diagnosed, and corresponding intervention plans should be formulated to prevent the occurrence and development of HIV associated mental disorder.