cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00052.00100
title: Effect of dynamic interpersonal therapy on HAMD-17, PHQ-9, and IIP in patients with depression
title: 动力性人际治疗对抑郁症患者的HAMD-17，PHQ-9和IIP的治疗效果

description: demographic information:gender: Gender, 1= male, 2= femalemarriage: Marital status, 1= unmarried, 2= married, 3= divorced, 4= widowed, 5= separated;education: The level of education, 1= illiterate, 2= primary school, 3= junior high school, 4= high school or secondary school, 5= college or university, 6= postgraduatedisease_cause factors, 1= none, 2= psychosocial factors;course: Course of disease, unit is month;attack: The number of depressive episodes before the onset of the disease;1= introverted, 2= intermediate, 3= extroverted.heredity: Heredity, 1= none, 2= thereWhether diseasE1 has physical disease, 1= none, 2= yes;Depressive symptoms:HAMD_base: HAMD-17 at the baseline level;PHQ_base: PHQ-9 at the baseline level2w: two weeks after starting treatment, and so on 4w, 8w, 12w, 16w, where 16w is the time point at which treatment ends.Interpersonal problems:base_IIP: Interpersonal problems at the baseline level;IIP_16w: Interpersonal problems at the end of 16 weeks of treatment;JK: Over acceptance, FG: social avoidance, NO: invasiveness/overexpression, DE: apathy/distance, BC: competition/self-centeredness, PA: overexpression, LM: self-sacrifice
description: demographic information:gender: Gender, 1= male, 2= femalemarriage: Marital status, 1= unmarried, 2= married, 3= divorced, 4= widowed, 5= separated;education: The level of education, 1= illiterate, 2= primary school, 3= junior high school, 4= high school or secondary school, 5= college or university, 6= postgraduatedisease_cause factors, 1= none, 2= psychosocial factors;course: Course of disease, unit is month;attack: The number of depressive episodes before the onset of the disease;1= introverted, 2= intermediate, 3= extroverted.heredity: Heredity, 1= none, 2= thereWhether diseasE1 has physical disease, 1= none, 2= yes;Depressive symptoms:HAMD_base: HAMD-17 at the baseline level;PHQ_base: PHQ-9 at the baseline level2w: two weeks after starting treatment, and so on 4w, 8w, 12w, 16w, where 16w is the time point at which treatment ends.Interpersonal problems:base_IIP: Interpersonal problems at the baseline level;IIP_16w: Interpersonal problems at the end of 16 weeks of treatment;JK: Over acceptance, FG: social avoidance, NO: invasiveness/overexpression, DE: apathy/distance, BC: competition/self-centeredness, PA: overexpression, LM: self-sacrifice
DOI: 10.57760/sciencedb.09847
title: Data for "Biogeographical variation in migratory patterns of Palearctic breeding Greater White-fronted Geese"
title: Data for "Biogeographical variation in migratory patterns of Palearctic breeding Greater White-fronted Geese"

description: Using 106 (autumn) and 65 (spring) tracks from tagged Greater White-fronted Geese from three Eurasian populations (Baltic-North Sea in the west; East Asia Continental and West Pacific in the east), we generated stopover networks, calculated network metrics, quantified migration parameters and compared repeatability and variation within and between populations. This dataset includes main data for the analysis of variation among populations and between seasons, for the analysis of stopover network, and for the map of migration routes.
description: Using 106 (autumn) and 65 (spring) tracks from tagged Greater White-fronted Geese from three Eurasian populations (Baltic-North Sea in the west; East Asia Continental and West Pacific in the east), we generated stopover networks, calculated network metrics, quantified migration parameters and compared repeatability and variation within and between populations. This dataset includes main data for the analysis of variation among populations and between seasons, for the analysis of stopover network, and for the map of migration routes.
DOI: 10.57760/sciencedb.09850
title: Turnip QTL upload3
title: Turnip QTL upload3

description: Turnip QTL upload3 
description: Turnip QTL upload3
DOI: 10.57760/sciencedb.09848
title: Protein sequences of Bambusa oldhamii
title: Protein sequences of Bambusa oldhamii

description: Bambusa oldhamii is one od woody bamboos. We first construct the Bacterial artificial chromosome (BAC)  library of Bambusa oldhamii. And then perform de novo assembly and annotation to obtain the protein sequences. These data are in fasta format.
description: Bambusa oldhamii is one od woody bamboos. We first construct the Bacterial artificial chromosome (BAC)  library of Bambusa oldhamii. And then perform de novo assembly and annotation to obtain the protein sequences. These data are in fasta format.
DOI: 10.57760/sciencedb.09852
title: The relationship between personality and aggression: A meta-analysis with student samples
title: 人格和攻击行为的关系：基于学生群体的元分析

description: The dataset provides detailed information on the data and code used for meta-analysis, as well as the original files included in the meta-analysis 1. Due to the large number of personality traits involved, this code shares one of these personality traits, and other personality traits can be substituted for calculations. 2. The original data of meta analysis is replaced by abbreviations due to its large content. 
description: The dataset provides detailed information on the data and code used for meta-analysis, as well as the original files included in the meta-analysis 1. Due to the large number of personality traits involved, this code shares one of these personality traits, and other personality traits can be substituted for calculations. 2. The original data of meta analysis is replaced by abbreviations due to its large content.
DOI: 10.57760/sciencedb.09857
title: Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Brazil
title: Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Brazil

description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d01, Files are in netCDF format with 20x20km of spatial resolution and hourly temporal resolution, covering the Brazilian territory. Data are divided by day.
description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d01, Files are in netCDF format with 20x20km of spatial resolution and hourly temporal resolution, covering the Brazilian territory. Data are divided by day.
DOI: 10.57760/sciencedb.09862
title: Carbonate system and DO in the Pearl River estuary in summer
title: 夏季珠江口碳酸盐和溶解氧的空间分布

description: This dataset are the dissolved oxygen and carbonate system, including total alkalinity (TA), dissolved inorganic carbon (DIC) and pH collected in the Pearl River estuary during the summer of 2015. The cruise includes two legs: Leg 1 was conducted from July 19-25 (9 sections); Leg 2 was from August 3-5 (10 sections).
description: This dataset are the dissolved oxygen and carbonate system, including total alkalinity (TA), dissolved inorganic carbon (DIC) and pH collected in the Pearl River estuary during the summer of 2015. The cruise includes two legs: Leg 1 was conducted from July 19-25 (9 sections); Leg 2 was from August 3-5 (10 sections).
DOI: 10.57760/sciencedb.09865
title: fit of misfit in entrepreneurship passion
title: str-22-01

description: this study examines the fit or misfit of entrepreneurship passion, based on identity control theory
description: this study examines the fit or misfit of entrepreneurship passion, based on identity control theory
DOI: 10.57760/sciencedb.09868
title: Geochemistry of Beryl from Dakalasu rare metal deposit, Altai.
title: 阿尔泰大喀拉苏稀有金属矿床绿柱石矿物化学特征

description: Mineral chemical characteristics and metallogenic significance of Beryl in the Dakalasu rare metal deposit in Altai. In the paper: ① Table 1 Beryl sampling location; ② Table 2 Data of Major Elements of Beryl; ③ Table 3 Trace Element Data of Beryl; ④ Table 4 Data of Main Elements of Tourmaline Associated with Brl-I; ⑤ Table 5 Characteristics of major and trace elements in feldspar. 
description: Mineral chemical characteristics and metallogenic significance of Beryl in the Dakalasu rare metal deposit in Altai. In the paper: ① Table 1 Beryl sampling location; ② Table 2 Data of Major Elements of Beryl; ③ Table 3 Trace Element Data of Beryl; ④ Table 4 Data of Main Elements of Tourmaline Associated with Brl-I; ⑤ Table 5 Characteristics of major and trace elements in feldspar.
DOI: 10.57760/sciencedb.09873
title: Wetland Mapping and Land Surface Temperature Inversion Product in Beijing Produced with SDGSAT-1 Data
title: Wetland Mapping and Land Surface Temperature Inversion Product in Beijing Produced with SDGSAT-1 Data

description: This data was developed by the Wetland remote sensing research team of Aerospace Information Research Institute, Chinese Academy of Sciences. Based on the spectral features and index features obtained from six SDGSAT-1 multispectral images acquired in February, March, and April 2022, we carried out wetland mapping in Beijing using the GBDT (Gradient Boosting Decision Tree). The spatial resolution is 10m, overall accuracy is 86.99%, Kappa coefficient is 0.85, Macro-F1 is 0.86. The meaning of the attribute value is: 1 Water, 2 Marsh, 3 Paddy field, 4 Impervious surface, 5 Forest and Scrub, 6 Grassland, 7 Farmland. The LST product is based on two SDGSAT-1 TIR images on April 1st, the spatial resolution is 30m, in degrees Celsius.
description: This data was developed by the Wetland remote sensing research team of Aerospace Information Research Institute, Chinese Academy of Sciences. Based on the spectral features and index features obtained from six SDGSAT-1 multispectral images acquired in February, March, and April 2022, we carried out wetland mapping in Beijing using the GBDT (Gradient Boosting Decision Tree). The spatial resolution is 10m, overall accuracy is 86.99%, Kappa coefficient is 0.85, Macro-F1 is 0.86. The meaning of the attribute value is: 1 Water, 2 Marsh, 3 Paddy field, 4 Impervious surface, 5 Forest and Scrub, 6 Grassland, 7 Farmland. The LST product is based on two SDGSAT-1 TIR images on April 1st, the spatial resolution is 30m, in degrees Celsius.
DOI: 10.57760/sciencedb.10350
title: Nonlinear Control of Quadrotor Suspension System Based on Extended State Observer
title: 基于扩张状态观测器的四旋翼吊挂飞行系统非线性控制

description: There are three groups of data, self is the simulation result without pendulum controller, adp is the simulation result of adaptive integral backstepping control, and eso is the simulation result of the extended State observer proposed in this paper. PlotResult is a MATLAB simulation graph program.
description: There are three groups of data, self is the simulation result without pendulum controller, adp is the simulation result of adaptive integral backstepping control, and eso is the simulation result of the extended State observer proposed in this paper. PlotResult is a MATLAB simulation graph program.
DOI: 10.57760/sciencedb.09881
title: Fuzzy Adaptive Backstepping Trajectory Tracking Control of Quadrotor Suspension System with Input Saturation
title: Fuzzy Adaptive Backstepping Trajectory Tracking Control of Quadrotor Suspension System with Input Saturation

description: The results of different images can be found in the notes in the m file
description: The results of different images can be found in the notes in the m file
DOI: 10.57760/sciencedb.09883
title: Turnip QTL upload4
title: Turnip QTL upload4

description: Turnip QTL upload4
description: Turnip QTL upload4
DOI: 10.57760/sciencedb.09884
title: Brazilian Atmospheric Inventories - BRAIN version 1: air quality dataset in Southern Brazil
title: Brazilian Atmospheric Inventories - BRAIN version 1: air quality dataset in Southern Brazil

description: We coupled emissions inventories, the Weather Research and Forecasting (WRF) model, and the Community Multiscale Air Quality Modeling System (CMAQ) to produce the BRAIN air quality dataset for Brazil. CMAQ version 5.3.2 was set up using the third version of the Carbon Bond 6 chemical mechanism (cb6r3_ae7_aq) with AERO7 treatment of Secondary Organic Aerosol for standard cloud chemistry. Other model configurations used in this work can be found in SM5 and https://github.com/leohoinaski/CMAQrunner. The pollutant list in CMAQ outputs containing 216 species can be found in SM6.The CMAQ standard profile of boundary conditions is used in the larger domain (d01), which provides the boundary conditions for the smaller one (d02). The simulations have 24 hours length and time step interval of 1 hour. The last hour of the previous simulation has been set up as the initial condition of the next one. We used the standard profile for the first hour of the first simulation (00:00:00 01-01-2019). Domain details can be observed in SM1.In this dataset, we provide hourly data with 4x4km of spatial resolution (d02) covering the Southern Brazilian territory. Files are in netCDF format and divided by day.
description: We coupled emissions inventories, the Weather Research and Forecasting (WRF) model, and the Community Multiscale Air Quality Modeling System (CMAQ) to produce the BRAIN air quality dataset for Brazil. CMAQ version 5.3.2 was set up using the third version of the Carbon Bond 6 chemical mechanism (cb6r3_ae7_aq) with AERO7 treatment of Secondary Organic Aerosol for standard cloud chemistry. Other model configurations used in this work can be found in SM5 and https://github.com/leohoinaski/CMAQrunner. The pollutant list in CMAQ outputs containing 216 species can be found in SM6.The CMAQ standard profile of boundary conditions is used in the larger domain (d01), which provides the boundary conditions for the smaller one (d02). The simulations have 24 hours length and time step interval of 1 hour. The last hour of the previous simulation has been set up as the initial condition of the next one. We used the standard profile for the first hour of the first simulation (00:00:00 01-01-2019). Domain details can be observed in SM1.In this dataset, we provide hourly data with 4x4km of spatial resolution (d02) covering the Southern Brazilian territory. Files are in netCDF format and divided by day.
DOI: 10.57760/sciencedb.09885
title: Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Southern Brazil
title: Brazilian Atmospheric Inventories - BRAIN version 1: meteorology dataset in Southern Brazil

description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Southern Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d02, Files are in netCDF format with 4x4km of spatial resolution and hourly temporal resolution, covering the Southern Brazilian territory. Data are divided by day.
description: We provide hourly meteorology data derived from Weather and Research Forecasting model from 2019 in Southern Brazil. WRF has been set up to reproduce 36 hours simulations, where the initial 12 hours have been dedicated to model stabilization, which are excluded from the analysis. Thirty-three vertical levels have been employed, spaced at 50 hPa intervals. The parameterizations used in this work are described in SM3. The remaining vertical levels followed a hybrid modeling scheme, accounting for terrain in the lower layers and gradually minimizing its influence in the higher levels. SM4 details all variables in WRF outputs.Global Forecast System (GFS) from the National Center for Atmospheric Research (NCAR) provided inputs with spatial resolution of 0.25° x 0.25° and a temporal resolution of six hours for the WRF simulations (Skamarock et al., 2008). Land use data and classification parameters from the United States Geological Survey's (USGS) Moderate Resolution Imaging Spectroradiometer (MODIS).Details of the modeling domains can be found in SM1. In the present dataset, we provide data from d02, Files are in netCDF format with 4x4km of spatial resolution and hourly temporal resolution, covering the Southern Brazilian territory. Data are divided by day.
DOI: 10.57760/sciencedb.psych.00141
title: Dataset of 'Visual adaptation to extreme-sized bodies induces persistent distortion of body size perception'
title: Dataset of 'Visual adaptation to extreme-sized bodies induces persistent distortion of body size perception'

description: Body size misperception is a key symptom of eating disorders (ED). Recent studies have supported an emerging theory that the distorted body perception might be associated with adaptation in repeated visual exposures to extreme-sized bodies. However, it remains questionable whether the influence of body size adaptation is sustained enough to affect daily-life body size perception. Here we investigated the timescale of short-term and long-term body size adaptation on perceived body size and studied the underlying neural mechanisms using event-related potentials (ERPs). In two experiments, we demonstrated that adaptation to extremely thin or fat body stimuli would led to a sustained bias of shifting the perceived normal body size towards the adapting body shape. Moreover, repeated adaptation to extremely thin bodies enhanced the anti-fat bias in body processing. These findings provide new evidence for the idea that body size adaptation may be implicated in the development of ED.
description: Body size misperception is a key symptom of eating disorders (ED). Recent studies have supported an emerging theory that the distorted body perception might be associated with adaptation in repeated visual exposures to extreme-sized bodies. However, it remains questionable whether the influence of body size adaptation is sustained enough to affect daily-life body size perception. Here we investigated the timescale of short-term and long-term body size adaptation on perceived body size and studied the underlying neural mechanisms using event-related potentials (ERPs). In two experiments, we demonstrated that adaptation to extremely thin or fat body stimuli would led to a sustained bias of shifting the perceived normal body size towards the adapting body shape. Moreover, repeated adaptation to extremely thin bodies enhanced the anti-fat bias in body processing. These findings provide new evidence for the idea that body size adaptation may be implicated in the development of ED.
DOI: 10.57760/sciencedb.09887
title: SAO, AO, QBO, and Long-term variation of the OH airglow emission
title: SAO, AO, QBO, and Long-term variation of the OH airglow emission

description: Data and code required for the paper
description: Data and code required for the paper
DOI: 10.6084/m9.figshare.28877366
title: <b>15.Final Equation Set and Cross-Domain Integration</b>

description: A+M[S] Finalized Equation Set and Cross-Domain Structural IntegrationThis section compiles the finalized A+M[S] equation set, linking quantum field theory, gravitational curvature, entropy flow, and cosmological structure. Each domain—quantum, classical, and cosmological—is unified through a self-consistent entanglement-based scaling system anchored by CLU mathematics. The cross-domain equations demonstrate the model’s predictive power, describing phenomena from particle behavior to black hole dynamics and cosmic expansion without introducing singularities or arbitrary corrections.<br>