cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29319552.v1
title: Non-cognitive skills and willingness to participate in drought index crop insurance in Ghana

description: Several studies have examined the role of safety-net programme in mitigating agricultural production risks. However, there is a lack of evidence on how non-cognitive skills (NCS) influence farmers’ participation in safety net programmes. This study investigates the relationship between farmers’ non-cognitive skills and willingness to participate in drought index crop insurance (DICI) using a farm household survey of 1,100 farmers in the Northern and Upper East regions of Ghana. The results show that locus of control (LOC) and self-efficacy significantly predict farmers’ willingness to participate in DICI. We find that individuals who believe they have control over outcomes in their lives with a perceived judgement of capability to alter or influence outcomes are more likely to participate in DICI. Social capital is the main channel via which NCS influences willingness to participate in DICI. Non-cognitive skills are mainly effective in improving willingness to participate in DICI in male-headed, youth-headed, low, and middle-income households, and households with large social capital. Our findings highlight the important roles of behavioural and psychological factors that underline participation in agricultural insurance programmes. The study implies that adopting agricultural insurance programmes can be enhanced by improving farmers’ non-cognitive skills.
DOI: 10.6084/m9.figshare.31113225
title: Evaluating a saponin biological seed treatment on soybean disease and yield in Michigan and the challenges in biological seed treatment efficacy

description: Biological products are often marketed as yield enhancing and as disease management solutions. Soybean sudden death syndrome (SDS; <i>Fusarium virguliforme</i>) and White mould (<i>Sclerotinia sclerotiorum</i>) are major threats to soybean production in Michigan and most major soybean producing regions of North America. SDS management strategies primarily rely on host resistance and targeted fungicidal seed treatments, while White mould management primarily relies upon variety resistance and foliar fungicide applications. Fungicide resistance in pathogen populations is a continual concern and there is interest among soybean stakeholders in integrating biologicals into disease management programmes. This study investigated the efficacy of <i>Chenopodium quinoa</i> saponin seed treatment ‘Heads Up’ in managing SDS and White mould in soybean, as well as its yield impacts across Michigan in 2022–2024, by applying two treatments: a standard commercial base seed treatment (base) and base + Heads Up (61.3% a.i.; 15 mL·cwt<sup>−1</sup>). These treatments were assessed in small plot trials in eight commercial soybean cultivars across 20 site-years and on-farm split plot trials in seven additional cultivars across eight site-years. No significant differences in soybean yield (<i>p</i> = 0.9), SDS root (<i>p</i> = 0.7), SDS foliar (<i>p</i> = 0.3) or White mould (<i>p</i> = 0.5) disease indices were detected. These findings provide practical insights for soybean producers and align with previous studies, highlighting the need for further research into the efficacy of biological products marketed for disease management.
DOI: 10.6084/m9.figshare.31113225.v1
title: Evaluating a saponin biological seed treatment on soybean disease and yield in Michigan and the challenges in biological seed treatment efficacy

description: Biological products are often marketed as yield enhancing and as disease management solutions. Soybean sudden death syndrome (SDS; <i>Fusarium virguliforme</i>) and White mould (<i>Sclerotinia sclerotiorum</i>) are major threats to soybean production in Michigan and most major soybean producing regions of North America. SDS management strategies primarily rely on host resistance and targeted fungicidal seed treatments, while White mould management primarily relies upon variety resistance and foliar fungicide applications. Fungicide resistance in pathogen populations is a continual concern and there is interest among soybean stakeholders in integrating biologicals into disease management programmes. This study investigated the efficacy of <i>Chenopodium quinoa</i> saponin seed treatment ‘Heads Up’ in managing SDS and White mould in soybean, as well as its yield impacts across Michigan in 2022–2024, by applying two treatments: a standard commercial base seed treatment (base) and base + Heads Up (61.3% a.i.; 15 mL·cwt<sup>−1</sup>). These treatments were assessed in small plot trials in eight commercial soybean cultivars across 20 site-years and on-farm split plot trials in seven additional cultivars across eight site-years. No significant differences in soybean yield (<i>p</i> = 0.9), SDS root (<i>p</i> = 0.7), SDS foliar (<i>p</i> = 0.3) or White mould (<i>p</i> = 0.5) disease indices were detected. These findings provide practical insights for soybean producers and align with previous studies, highlighting the need for further research into the efficacy of biological products marketed for disease management.
DOI: 10.6084/m9.figshare.31113228
title: Performance assessment of peat-based advanced treatment devices in Six Nations of the Grand River

description: Peat-based biofilters have been used to treat septic tank effluent for decades but few studies investigate their longevity. Similarly, long-term performance evaluations of medium-scale decentralized wastewater treatment systems in Indigenous communities are rare. The community-led study described herein assesses five peat moss biofilters installed in Six Nations of the Grand River. The assessment compares sample data with contemporary performance-based classification standards for advanced treatment devices. The results indicate the peat moss filter media is continuing to provide physical, chemical, and biological treatment beyond its expected lifespan, but also that most systems are underperforming. The findings demonstrate without basic maintenance structural components may degrade faster than peat moss, which impacts system monitoring and operation. Routine inspection and maintenance of advanced treatment devices are necessary to ensure they maintain their performance, necessitating funding for such activities. It was also found the older systems exhibited poor denitrification. Such findings support recent literature asserting that peat-based systems cannot independently provide stable and consistent levels of disinfection and nutrient removal to meet standardized performance thresholds. Nevertheless, for advanced levels of Basic Treatment, peat-based systems may continue to be a viable solution for Six Nations if maintained adequately, especially in areas unsuitable for conventional septic systems.
DOI: 10.6084/m9.figshare.31113228.v1
title: Performance assessment of peat-based advanced treatment devices in Six Nations of the Grand River

description: Peat-based biofilters have been used to treat septic tank effluent for decades but few studies investigate their longevity. Similarly, long-term performance evaluations of medium-scale decentralized wastewater treatment systems in Indigenous communities are rare. The community-led study described herein assesses five peat moss biofilters installed in Six Nations of the Grand River. The assessment compares sample data with contemporary performance-based classification standards for advanced treatment devices. The results indicate the peat moss filter media is continuing to provide physical, chemical, and biological treatment beyond its expected lifespan, but also that most systems are underperforming. The findings demonstrate without basic maintenance structural components may degrade faster than peat moss, which impacts system monitoring and operation. Routine inspection and maintenance of advanced treatment devices are necessary to ensure they maintain their performance, necessitating funding for such activities. It was also found the older systems exhibited poor denitrification. Such findings support recent literature asserting that peat-based systems cannot independently provide stable and consistent levels of disinfection and nutrient removal to meet standardized performance thresholds. Nevertheless, for advanced levels of Basic Treatment, peat-based systems may continue to be a viable solution for Six Nations if maintained adequately, especially in areas unsuitable for conventional septic systems.
DOI: 10.6084/m9.figshare.31112842
title: Extreme fire spread events to validate dry pyroconvection impact on fire induced atmospheric boundary layer (fireABL)

description: The dataset includes the information, datasets and scripts to reproduce the methodology to compute fire induced modification of the atmospheric boundary layer (fireABL)-. Readme: explains how the information is organized-. Scripts: introduces the sripts to: (1) manage ERA5 profiles, (2) compute fireABL and (3) identify cloud top using satellite brightness temperature and the ERA5 profile-. Datasets3.1.- fire spread hourly isochrones by fire3.2.- ERA5 netcdf by fire3.3.- Extreme wildfire spread events dataset (EWSH) with fireABL modelled by fire3.4.- pyrocloud images by fire3.5.- Brightness Temperature for plume top files<br>
DOI: 10.6084/m9.figshare.31112842.v1
title: Extreme fire spread events to validate dry pyroconvection impact on fire induced atmospheric boundary layer (fireABL)

description: The dataset includes the information, datasets and scripts to reproduce the methodology to compute fire induced modification of the atmospheric boundary layer (fireABL)-. Readme: explains how the information is organized-. Scripts: introduces the sripts to: (1) manage ERA5 profiles, (2) compute fireABL and (3) identify cloud top using satellite brightness temperature and the ERA5 profile-. Datasets3.1.- fire spread hourly isochrones by fire3.2.- ERA5 netcdf by fire3.3.- Extreme wildfire spread events dataset (EWSH) with fireABL modelled by fire3.4.- pyrocloud images by fire3.5.- Brightness Temperature for plume top files<br>
DOI: 10.6084/m9.figshare.29596677
title: A numerical solution of coupling hydro-mechanical behavior for subsea tunnels in strain-softening rock masses: theory and case study

description: Most contemporary studies on subsea tunnels have failed to integrate the hydro-mechanical and strain-softening behaviors of rock masses. Additionally, these studies often consider the hydraulic parameters of rock masses as constants despite their nonlinear variation with plastic strain and confining pressure. This study proposed an updated numerical solution for coupling hydro-mechanical behavior of subsea tunnels in strain-softening rock masses. Using existing test data, the hydraulic parameters of rock masses, including the permeability coefficient, Biot’s coefficient, Poisson’s ratio, and elastic modulus, were characterized through fitting equations. These equations more accurately captured the influence of confining pressure and plastic shear strain on hydraulic parameters, aligning more closely with the actual rock mass behavior. The updated numerical procedure was derived from the governing equations, boundary conditions, seepage equations, and fitting equations, enabling solutions for stress, displacement, plastic region, and water inflow around subsea tunnels in strain-softening rock masses. The effects of varying the initial permeability coefficients, Biot’s coefficients, and pore water pressures on tunnel stability were analysed. Finally, using finite difference simulation software, the distributions of the seepage, displacement, and stress fields for a practical case were examined.
DOI: 10.6084/m9.figshare.29596677.v1
title: A numerical solution of coupling hydro-mechanical behavior for subsea tunnels in strain-softening rock masses: theory and case study

description: Most contemporary studies on subsea tunnels have failed to integrate the hydro-mechanical and strain-softening behaviors of rock masses. Additionally, these studies often consider the hydraulic parameters of rock masses as constants despite their nonlinear variation with plastic strain and confining pressure. This study proposed an updated numerical solution for coupling hydro-mechanical behavior of subsea tunnels in strain-softening rock masses. Using existing test data, the hydraulic parameters of rock masses, including the permeability coefficient, Biot’s coefficient, Poisson’s ratio, and elastic modulus, were characterized through fitting equations. These equations more accurately captured the influence of confining pressure and plastic shear strain on hydraulic parameters, aligning more closely with the actual rock mass behavior. The updated numerical procedure was derived from the governing equations, boundary conditions, seepage equations, and fitting equations, enabling solutions for stress, displacement, plastic region, and water inflow around subsea tunnels in strain-softening rock masses. The effects of varying the initial permeability coefficients, Biot’s coefficients, and pore water pressures on tunnel stability were analysed. Finally, using finite difference simulation software, the distributions of the seepage, displacement, and stress fields for a practical case were examined.
DOI: 10.15468/dl.t47qb2
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chloraea disoides, Chloraea disoides disoides, Chloraea disoides picta)"
 ]
}

 The dataset includes 64 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002532-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18327244
title: Jusrina

description: PENGENDALIAN SEDIMEN SABO DAM SUNGAI RADDA DI LUWU UTARA
DOI: 10.5281/zenodo.18327245
title: Jusrina

description: PENGENDALIAN SEDIMEN SABO DAM SUNGAI RADDA DI LUWU UTARA
DOI: 10.15468/dl.mc56uc
title: Occurrence Download

description: A dataset containing 5770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix helvetica"
 ]
}

 The dataset includes 5770 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002531-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28302144
title: Effect of daytime on smartphone use posture and related musculoskeletal disorders risk among university students during the weekend

description: Time spend using smartphones is constantly increasing. Portability leads to postures that expose them to musculoskeletal disorders (MSDs). The aim was to study the effect of time of day (morning, afternoon, evening and night) on university students’ postures when using their smartphones over the weekend and their link with MSD risk. A cross-sectional survey was conducted among 277 university students (25.3% female, 74.7% male, 17-24 years). SmarTaxo with 41 postures (sitting, standing, lying, walking) and their relative RULA (Rapid Upper Limb Assessment) scores were considered. The overall distribution of postures was: 36.22% sitting, 17.53% standing, 37.67% lying down and 8.57% walking. Six lying and one standing posture observed in the evening and at night are at high MSD risk (RULA score = 6, 23% of total time). The survey highlighted that university students are exposed to MSDs during the weekend day due to awkward postures, especially when lying down at night. Smartphones are ubiquitous among young people, including during leisure time. Considering the extensive duration of use, risk assessment is necessary to prevent the occurrence of MSDs. A high risk of MSDs on weekend evenings and nights, particularly when lying down. It is therefore essential to educate young people about the risks of using smartphones.
DOI: 10.6084/m9.figshare.28302144.v1
title: Effect of daytime on smartphone use posture and related musculoskeletal disorders risk among university students during the weekend

description: Time spend using smartphones is constantly increasing. Portability leads to postures that expose them to musculoskeletal disorders (MSDs). The aim was to study the effect of time of day (morning, afternoon, evening and night) on university students’ postures when using their smartphones over the weekend and their link with MSD risk. A cross-sectional survey was conducted among 277 university students (25.3% female, 74.7% male, 17-24 years). SmarTaxo with 41 postures (sitting, standing, lying, walking) and their relative RULA (Rapid Upper Limb Assessment) scores were considered. The overall distribution of postures was: 36.22% sitting, 17.53% standing, 37.67% lying down and 8.57% walking. Six lying and one standing posture observed in the evening and at night are at high MSD risk (RULA score = 6, 23% of total time). The survey highlighted that university students are exposed to MSDs during the weekend day due to awkward postures, especially when lying down at night. Smartphones are ubiquitous among young people, including during leisure time. Considering the extensive duration of use, risk assessment is necessary to prevent the occurrence of MSDs. A high risk of MSDs on weekend evenings and nights, particularly when lying down. It is therefore essential to educate young people about the risks of using smartphones.
DOI: 10.6084/m9.figshare.31113261
title: Landslide susceptibility mapping using ensemble learning integrating climate and seismic factors along the CPEC

description: Landslides represent a major global geohazard, and accurate landslide susceptibility mapping (LSM) is essential for disaster risk reduction, particularly under changing climatic and seismic conditions. This study develops an integrated machine learning framework to predict landslide susceptibility along the China-Pakistan Economic Corridor (CPEC). We evaluated and compared three individual models (Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) alongside an ensemble model, incorporating key climatic (e.g. rainfall indices, temperature) and seismic factors (e.g. fault density, epicenter density). Model performance was rigorously assessed using confusion matrix statistics, the area under the receiver operating characteristic curve (AUC), and landslide density (LD) validation. Results showed that the ensemble model outperformed all individual models across three distinct datasets (climate-inclusive, seismic-inclusive, and all-inclusive), achieving accuracies of 0.886, 0.865, and 0.850, respectively. The highest predictive accuracy (0.885) and AUC (0.95) were achieved using the all-inclusive dataset, underscoring the critical importance of data integration. The resulting susceptibility map classified 66.72% (626,038 km²) of the total study area (940,450 km²) as ‘Very Low’ risk and 10.51% (98,597 km²) as ‘Very High’ risk. This study provides a robust tool for informed land-use planning, infrastructure development, and proactive risk management along the CPEC.
DOI: 10.6084/m9.figshare.31113261.v1
title: Landslide susceptibility mapping using ensemble learning integrating climate and seismic factors along the CPEC

description: Landslides represent a major global geohazard, and accurate landslide susceptibility mapping (LSM) is essential for disaster risk reduction, particularly under changing climatic and seismic conditions. This study develops an integrated machine learning framework to predict landslide susceptibility along the China-Pakistan Economic Corridor (CPEC). We evaluated and compared three individual models (Support Vector Machine (SVM), Random Forest (RF), and Extreme Gradient Boosting (XGBoost) alongside an ensemble model, incorporating key climatic (e.g. rainfall indices, temperature) and seismic factors (e.g. fault density, epicenter density). Model performance was rigorously assessed using confusion matrix statistics, the area under the receiver operating characteristic curve (AUC), and landslide density (LD) validation. Results showed that the ensemble model outperformed all individual models across three distinct datasets (climate-inclusive, seismic-inclusive, and all-inclusive), achieving accuracies of 0.886, 0.865, and 0.850, respectively. The highest predictive accuracy (0.885) and AUC (0.95) were achieved using the all-inclusive dataset, underscoring the critical importance of data integration. The resulting susceptibility map classified 66.72% (626,038 km²) of the total study area (940,450 km²) as ‘Very Low’ risk and 10.51% (98,597 km²) as ‘Very High’ risk. This study provides a robust tool for informed land-use planning, infrastructure development, and proactive risk management along the CPEC.
DOI: 10.6084/m9.figshare.30559440
title: Co-variation of nitrogen isotopes and Palaeo-redox conditions during the Middle Triassic Luoping biota preservation in South China

description: The early Middle Triassic (Anisian) Luoping biota serves as a significant example of marine ecosystem recovery following the Permian–Triassic mass extinction. However, the specific burial environment and mechanisms responsible for this exceptional preservation remain to be fully elucidated. The nitrogen isotopic composition of ancient sediments can provide valuable insights into the nitrogen biogeochemical cycle of the ocean and the redox conditions of the water column. In this study, we present bulk nitrogen isotopic compositions (δ<sup>15</sup>N<sub>bulk</sub>), C/N<sub>mol</sub> ratios, and the concentrations of Al and K<sub>2</sub>O content from Member II of the Middle Triassic Guanling Formation at the Xiangdongpo (XDP) section in Luoping County, Yunnan Province, South China. The lower and upper fossiliferous layers of the Luoping biota exhibit distinct nitrogen isotopic compositions. The lower fossiliferous layers demonstrate relatively low nitrogen isotope values (−4.01‰ to +4.24‰, mean =  +1.61‰), indicating non-quantitative assimilation of upwelled NH<sub>4</sub><sup>+</sup>, while the upper layers display relatively high nitrogen isotope values (+3.04‰ to +8.91‰, mean =  +6.52‰) with a temporary moderately negative bias, suggesting assimilation of upwelled NO<sub>3</sub><sup>−</sup> from non-quantitative denitrification. The δ<sup>15</sup>N<sub>bulk</sub> shows a negative correlation with productivity and redox proxies (TOC/Al, P/Al, Mo<sub>EF</sub>, and U<sub>EF</sub>), indicating that the negative deviations of nitrogen isotopes correspond to high productivity and anoxic conditions, both of which are beneficial for the preservation of the biota. The concentrations of Al and K<sub>2</sub>O, which indicate clay mineral content, show a significant increase in interval IV compared to interval II. This increase may further enhance the burial efficiency of the fossils. In summary, our results indicate that the negative nitrogen isotope deviations are consistent with relatively high productivity and anoxic water conditions, which facilitate the burial of the Luoping biota. Additionally, the increase in clay minerals can also promote fossil preservation to some extent, further enhancing the burial process.