cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30397541
title: Constructing regional catchment-specific triggering threshold for runoff-generated debris flows: a case study in the Bailong River

description: Constructing catchment-specific rainfall thresholds is crucial for high-accuracy debris flow forecasting. However, rapid methods for determining thresholds across multiple catchments remain limited due to the difficulty of relating catchment characteristics to peak discharges. This study explores such relationships using hydrological simulations and machine learning techniques, aiming to enable the rapid estimation of catchment-specific rainfall thresholds. We conducted a series of hydrological simulations with varied rainfall amounts to calculate peak discharges for 267 catchments in the Bailong River Basin, China. The rainfall amounts and corresponding peak discharges were fitted using three types of mathematical functions: linear, polynomial, and power-law. Machine learning models were then applied to predict the fitted coefficients for each catchment based on thirteen catchment features related to runoff generation and concentration. The Extra Trees Regressor (ETR) was used for catchments larger than 10 km², while CatBoost Regressor (CBR) was employed for smaller ones. This modelling framework allows the derivation of functional relationships between rainfall and discharge for each catchment, which were subsequently used to estimate rainfall thresholds for debris flow initiation. The proposed method shows strong potential for improving forecasting accuracy and regional applicability, and it can be further enhanced with more hydrological observations and long-term monitoring data. • A peak discharge estimation model is developed by integrating hydrological simulation and machine learning techniques.• Mathematical relationships among rainfall duration, intensity, and peak discharge are established.• A method for deriving catchment-specific rainfall thresholds for debris flow initiation is proposed. A peak discharge estimation model is developed by integrating hydrological simulation and machine learning techniques. Mathematical relationships among rainfall duration, intensity, and peak discharge are established. A method for deriving catchment-specific rainfall thresholds for debris flow initiation is proposed.
DOI: 10.6084/m9.figshare.30634383
title: Spatiotemporal characteristics and driving factors of wildfires on the Qinghai-Tibetan Plateau

description: Wildfires have become a global crisis, with alpine regions facing particularly severe challenges. The Qinghai-Tibetan Plateau (QTP), the world's highest plateau, has witnessed a notable increase in both the frequency and extent of wildfires over the past two decades, driven by the combined effects of human activities and climate change. However, the spatiotemporal patterns and driving factors of wildfires on the QTP remain unclear, hindering effective wildfire management and ecological conservation. In this study, we analyzed wildfire dynamics on the QTP over the past 20 years (2001−2020) using standard deviation ellipse (SDE), kernel density estimation (KDE) and structural equation modelling (SEM). Our results revealed that both the frequency and burned area of wildfires on the QTP showed an upward trend. Wildfires were primarily concentrated in the eastern and southern regions of the QTP. The average elevation of burned area has increased, and the wildfire centre has shifted northwest. While climate change remains the dominant driver of wildfires on the QTP, human activities also play a critical role in certain regions. By identifying high-risk periods, regions and key drivers of wildfires, this study offers valuable insights for issuing early warnings, formulating fire management strategies and protecting the fragile plateau ecosystem.
DOI: 10.6084/m9.figshare.30634383.v1
title: Spatiotemporal characteristics and driving factors of wildfires on the Qinghai-Tibetan Plateau

description: Wildfires have become a global crisis, with alpine regions facing particularly severe challenges. The Qinghai-Tibetan Plateau (QTP), the world's highest plateau, has witnessed a notable increase in both the frequency and extent of wildfires over the past two decades, driven by the combined effects of human activities and climate change. However, the spatiotemporal patterns and driving factors of wildfires on the QTP remain unclear, hindering effective wildfire management and ecological conservation. In this study, we analyzed wildfire dynamics on the QTP over the past 20 years (2001−2020) using standard deviation ellipse (SDE), kernel density estimation (KDE) and structural equation modelling (SEM). Our results revealed that both the frequency and burned area of wildfires on the QTP showed an upward trend. Wildfires were primarily concentrated in the eastern and southern regions of the QTP. The average elevation of burned area has increased, and the wildfire centre has shifted northwest. While climate change remains the dominant driver of wildfires on the QTP, human activities also play a critical role in certain regions. By identifying high-risk periods, regions and key drivers of wildfires, this study offers valuable insights for issuing early warnings, formulating fire management strategies and protecting the fragile plateau ecosystem.
DOI: 10.6084/m9.figshare.30510422
title: Understanding cross-regional mutual influence mechanisms driven by polder drainage capacity changes in plain river network areas

description: Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta, a plain river network area. Intensified polder construction and drainage capacity modifications have caused cross-regional flood risk transfer, with underexplored quantitative mechanisms. This study aims to quantify cross-regional flood interaction, develop a sensitivity assessment tool, and establish a coordinated flood management framework via an integrated hydrological-hydrodynamic model coupled with Drainage Response Index (defined as the water level gradient per unit drainage capacity change). Through scenario simulations of 8 drainage schemes and 3 pumping operations under a 100-year design rainstorm, the results reveal that: (1) Enhanced drainage stabilizes internal polder water levels (Jiashan reduced by 64.6 cm under S8) but elevates external river levels by 8.1~22.3 cm, transferring flood risks outward. Meanwhile, pump scheduling induced 24.3 cm internal fluctuations. (2) Flood propagation exhibits distance-decay characteristics: Wujiang’s drainage elevated downstream Jiashan’s peak by 14.2 cm and Qingpu’s by 8.1 cm, while Qingpu’s drainage impacts upstream Wujiang by only 2.7 cm. (3) DRI slopes were negative, Jiashan to Wujiang DRI dropped from 0.1336 to 0.0010, indicating that adjacent water level is most sensitive to the current drainage condition of a polder. Findings support optimized multi-jurisdictional flood coordination.
DOI: 10.6084/m9.figshare.30510422.v1
title: Understanding cross-regional mutual influence mechanisms driven by polder drainage capacity changes in plain river network areas

description: Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta, a plain river network area. Intensified polder construction and drainage capacity modifications have caused cross-regional flood risk transfer, with underexplored quantitative mechanisms. This study aims to quantify cross-regional flood interaction, develop a sensitivity assessment tool, and establish a coordinated flood management framework via an integrated hydrological-hydrodynamic model coupled with Drainage Response Index (defined as the water level gradient per unit drainage capacity change). Through scenario simulations of 8 drainage schemes and 3 pumping operations under a 100-year design rainstorm, the results reveal that: (1) Enhanced drainage stabilizes internal polder water levels (Jiashan reduced by 64.6 cm under S8) but elevates external river levels by 8.1~22.3 cm, transferring flood risks outward. Meanwhile, pump scheduling induced 24.3 cm internal fluctuations. (2) Flood propagation exhibits distance-decay characteristics: Wujiang’s drainage elevated downstream Jiashan’s peak by 14.2 cm and Qingpu’s by 8.1 cm, while Qingpu’s drainage impacts upstream Wujiang by only 2.7 cm. (3) DRI slopes were negative, Jiashan to Wujiang DRI dropped from 0.1336 to 0.0010, indicating that adjacent water level is most sensitive to the current drainage condition of a polder. Findings support optimized multi-jurisdictional flood coordination.
DOI: 10.6084/m9.figshare.30738300
title: Linking deterministic and probabilistic paradigms: a peak-sensitive prediction framework for heterogeneous runoff processes

description: With intensifying hydroclimatic nonstationarity and human regulation, seasonal runoff peaks have become erratic, undermining conventional deterministic forecasts. A peak-sensitive hybrid framework is introduced by coupling time-varying filtering–based empirical mode decomposition (TVF-EMD) with deep learning. Monthly runoff is split into general and complex components. The deterministic backbone uses Bayesian optimization (BO)-tuned convolutional neural network (CNN)-bidirectional gated recurrent unit (BiGRU) with self-attention (SA), plus an observation-linked error correction (OLEC). Across four metrics it delivers superior point predictions, with Willmott’s index (WI) ranging from 0.9990 to 0.9997, Nash-Sutcliffe efficiency (NSE) from 0.9960 to 0.9988, low mean absolute error (MAE), and percent bias (PBIAS) between −1.1682% and 0.7844%. For the complex component, quantile regression (QR) with an error-sensitive focal loss (ESFL) produces calibrated yet sharper intervals. At 90% nominal coverage, prediction interval coverage probability (PICP) spans 98.6111−100% and prediction interval normalized average width (PINAW) spans 6.8663−23.9493%, with consistently lower Winkler scores than the BO-CNN-BiGRU-SA-QR baseline. Overall, the framework yields narrower, well-calibrated, peak-aware prediction intervals that support risk-informed water-resources management.
DOI: 10.6084/m9.figshare.30738300.v1
title: Linking deterministic and probabilistic paradigms: a peak-sensitive prediction framework for heterogeneous runoff processes

description: With intensifying hydroclimatic nonstationarity and human regulation, seasonal runoff peaks have become erratic, undermining conventional deterministic forecasts. A peak-sensitive hybrid framework is introduced by coupling time-varying filtering–based empirical mode decomposition (TVF-EMD) with deep learning. Monthly runoff is split into general and complex components. The deterministic backbone uses Bayesian optimization (BO)-tuned convolutional neural network (CNN)-bidirectional gated recurrent unit (BiGRU) with self-attention (SA), plus an observation-linked error correction (OLEC). Across four metrics it delivers superior point predictions, with Willmott’s index (WI) ranging from 0.9990 to 0.9997, Nash-Sutcliffe efficiency (NSE) from 0.9960 to 0.9988, low mean absolute error (MAE), and percent bias (PBIAS) between −1.1682% and 0.7844%. For the complex component, quantile regression (QR) with an error-sensitive focal loss (ESFL) produces calibrated yet sharper intervals. At 90% nominal coverage, prediction interval coverage probability (PICP) spans 98.6111−100% and prediction interval normalized average width (PINAW) spans 6.8663−23.9493%, with consistently lower Winkler scores than the BO-CNN-BiGRU-SA-QR baseline. Overall, the framework yields narrower, well-calibrated, peak-aware prediction intervals that support risk-informed water-resources management.
DOI: 10.5878/kreq-3p45
title: The National SOM Survey 2018
title: Den nationella SOM-undersökningen 2018
title: Riks-SOM 2018

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ.

In 2018, six different questionnaires were distributed.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst.

Den nationella SOM-undersökningen fokuserar på tre teman - samhälle, opinion och massmedier. Ett stort antal frågor om politik, samhälle och medier samt social bakgrund finns med i alla undersökningar, men frågeformulären har ibland något olika inriktningar.

Undersökningen genomförs i samverkan med forskare från olika discipliner. I undersökningen deltar också externa parter, via särskilda forskningsprojekt. För 2018 gäller det exempelvis Kulturdepartementet, Energimyndigheten och Försäkringskassan.

2018 års undersökning utgjordes av sex parallella riksrepresentativa delundersökningar där datainsamlingen genomfördes parallellt enligt en gemensam fältplan. De sex formulären innehåller många gemensamma frågor, men undersökningen innehåller också ett stort antal frågor endast ställda i en eller två av de olika enkäterna. Datainsamlingen genomfördes parallellt och under identiska förhållanden.

För sjunde året i rad användes en mixed mode undersökningsdesign, vilket innebär att flera datainsamlingsmetoder används i en och samma frågeundersökning. I SOM-undersökningen samlas data primärt in via postenkäter, men respondenten ges även möjlighet att fylla i en webbenkät.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5878/731v-5f91
title: The National SOM Survey 2018
title: Den nationella SOM-undersökningen 2018
title: Riks-SOM 2018

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ.

In 2018, six different questionnaires were distributed.

Purpose:
The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst.

Den nationella SOM-undersökningen fokuserar på tre teman - samhälle, opinion och massmedier. Ett stort antal frågor om politik, samhälle och medier samt social bakgrund finns med i alla undersökningar, men frågeformulären har ibland något olika inriktningar.

Undersökningen genomförs i samverkan med forskare från olika discipliner. I undersökningen deltar också externa parter, via särskilda forskningsprojekt. För 2018 gäller det exempelvis Kulturdepartementet, Energimyndigheten och Försäkringskassan.

2018 års undersökning utgjordes av sex parallella riksrepresentativa delundersökningar där datainsamlingen genomfördes parallellt enligt en gemensam fältplan. De sex formulären innehåller många gemensamma frågor, men undersökningen innehåller också ett stort antal frågor endast ställda i en eller två av de olika enkäterna. Datainsamlingen genomfördes parallellt och under identiska förhållanden.

För sjunde året i rad användes en mixed mode undersökningsdesign, vilket innebär att flera datainsamlingsmetoder används i en och samma frågeundersökning. I SOM-undersökningen samlas data primärt in via postenkäter, men respondenten ges även möjlighet att fylla i en webbenkät.

Syfte:
Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys
DOI: 10.5281/zenodo.18374335
title: A global dataset of immigration flow composition by age, sex and educational attainment

description: Estimates and R codes of immigration flow proportions by age, sex and education of 199 countries between 1990-1995 to 2015-2020 based on methods presented in Yildiz and Abel (2026).

 

Immigration composition by SL provides the results by the Super Learner model with six columns for each of the data dimensions: 

iso3c: Destination ISO three letter country code

period: Five-year periods 

age: Five-year ge groups

sex

education: Educational attainment

prop: Proportion of immigration flow.
DOI: 10.5281/zenodo.18374334
title: A global dataset of immigration flow composition by age, sex and educational attainment

description: Estimates and R codes of immigration flow proportions by age, sex and education of 199 countries between 1990-1995 to 2015-2020 based on methods presented in Yildiz and Abel (2026).

 

Immigration composition by SL provides the results by the Super Learner model with six columns for each of the data dimensions: 

iso3c: Destination ISO three letter country code

period: Five-year periods 

age: Five-year ge groups

sex

education: Educational attainment

prop: Proportion of immigration flow.
DOI: 10.48804/2fjmsi
title: Replication Data for: Impact of groat heat treatment and varying extraction conditions on oat β-D-glucan characteristics

description: Oat-based liquid and semi-solid dairy alternatives are of great interest nowadays, but generally have low dietary fiber content or are fortified with refined dietary fibers. Thus, the full functional and nutritional potential of oat dietary fibers, in particular oat β-D-glucan (βG), remains underexploited. This can be attributed to the fact that oats are industrially heat treated (‘kilned’) to inactivate endogenous lipases thereby preventing rancidity development. Thorough understanding on how the industrial oat groat heat treatment and varying extraction conditions affect the extractability and structural characteristics of oat βG is essential for expanding its utilization in the food industry. In this study, we investigated the impact of the industrial oat groat heat treatment, extraction pH and presence of calcium ions in the extraction medium on the βG recovery, molecular weight and viscosity of oat extracts. This dataset contains (i) data on moisture and β-D-glucan contents (1 .xlsx file), (ii) data on β-D-glucan extractabilities (1 .xlsx file), (iii) data on β-glucanase activities (1 .xlsx file), (iv) data on β-D-glucan molecular weights (1 .xlsx file) and (v) data on extract viscosities (1 .xlsx file).
DOI: 10.5878/4jkm-zr65
title: The National SOM Survey 2019
title: Den nationella SOM-undersökningen 2019
title: Riks-SOM 2019

description: In order to identify how the evolution of society affects Swedes’ attitudes and behaviour, the SOM Institute started its National SOM study in 1986. National SOM addresses three areas - society, opinion and mass media - and consists of several parallel surveys. All surveys include a large number of questions related to politics, society, media and social background, but their areas of focus differ.

In 2019, six different questionnaires were distributed.

The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

The SOM Institute also has an online tool for data analysis, where you can work with data from the national SOM surveys directly in your web browser. You can find it at https://som-institutet.se/dataanalys
description: För att kunna förstå hur samhällsutvecklingen påverkar svenska folkets attityder och beteenden, har SOM-institutet sedan 1986 genomfört Riks-SOM. Första mätningen skedde genom samverkan mellan ett par forskningsprojekt vid Göteborgs universitet, men intresset för resultaten blev stort och SOM-institutet etablerades med ansvar att göra en ny undersökning varje höst.

Den nationella SOM-undersökningen fokuserar på tre teman - samhälle, opinion och massmedier. Ett stort antal frågor om politik, samhälle och medier samt social bakgrund finns med i alla undersökningar, men frågeformulären har ibland något olika inriktningar.

Undersökningen genomförs i samverkan med forskare från olika discipliner. I undersökningen deltar också externa parter, via särskilda forskningsprojekt. För 2019 gäller det exempelvis Kulturdepartementet, Myndigheten för vård och omsorgsanalys och Försäkringskassan.

2019 års undersökning utgjordes av sex parallella riksrepresentativa delundersökningar där datainsamlingen genomfördes parallellt enligt en gemensam fältplan. De sex formulären innehåller många gemensamma frågor, men undersökningen innehåller också ett stort antal frågor endast ställda i en eller två av de olika enkäterna. Datainsamlingen genomfördes parallellt och under identiska förhållanden.

En mixed mode undersökningsdesign används, vilket innebär att flera datainsamlingsmetoder används i en och samma frågeundersökning. I SOM-undersökningen samlas data primärt in via postenkäter, men respondenten ges även möjlighet att fylla i en webbenkät.

Huvudsyftet är att etablera tidsserier som gör det möjligt att analysera hur olika samhällsförändringar påverkar människors attityder och beteenden.

SOM-institutet har även ett onlineverktyg för dataanalys, där du kan arbeta med data från de nationella SOM-undersökningarna direkt i din webbläsare. Du hittar det på https://som-institutet.se/dataanalys