cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11506353.v2
title: Individualized Multidirectional Variable Selection

description: In this article, we propose a heterogeneous modeling framework which achieves individual-wise feature selection and heterogeneous covariates’ effects subgrouping simultaneously. In contrast to conventional model selection approaches, the new approach constructs a separation penalty with multidirectional shrinkages, which facilitates individualized modeling to distinguish strong signals from noisy ones and selects different relevant variables for different individuals. Meanwhile, the proposed model identifies subgroups among which individuals share similar covariates’ effects, and thus improves individualized estimation efficiency and feature selection accuracy. Moreover, the proposed model also incorporates within-individual correlation for longitudinal data to gain extra efficiency. We provide a general theoretical foundation under a double-divergence modeling framework where the number of individuals and the number of individual-wise measurements can both diverge, which enables inference on both an individual level and a population level. In particular, we establish a strong oracle property for the individualized estimator to ensure its optimal large sample property under various conditions. An efficient ADMM algorithm is developed for computational scalability. Simulation studies and applications to post-trauma mental disorder analysis with genetic variation and an HIV longitudinal treatment study are illustrated to compare the new approach to existing methods. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.11505975
title: Scalable Collaborative Ranking for Personalized Prediction

description: Personalized prediction presents an important yet challenging task, which predicts user-specific preferences on a large number of items given limited information. It is often modeled as certain recommender systems focusing on ordinal or continuous ratings, as in collaborative filtering and content-based filtering. In this article, we propose a new collaborative ranking system to predict most-preferred items for each user given search queries. Particularly, we propose a <i>ψ</i>-ranker based on ranking functions incorporating information on users, items, and search queries through latent factor models. Moreover, we show that the proposed nonconvex surrogate pairwise <i>ψ</i>-loss performs well under four popular bipartite ranking losses, such as the sum loss, pairwise zero-one loss, discounted cumulative gain, and mean average precision. We develop a parallel computing strategy to optimize the intractable loss of two levels of nonconvex components through difference of convex programming and block successive upper-bound minimization. Theoretically, we establish a probabilistic error bound for the <i>ψ</i>-ranker and show that its ranking error has a sharp rate of convergence in the general framework of bipartite ranking, even when the dimension of the model parameters diverges with the sample size. Consequently, this result also indicates that the <i>ψ</i>-ranker performs better than two major approaches in bipartite ranking: pairwise ranking and scoring. Finally, we demonstrate the utility of the <i>ψ</i>-ranker by comparing it with some strong competitors in the literature through simulated examples as well as Expedia booking data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.11505975.v1
title: Scalable Collaborative Ranking for Personalized Prediction

description: Personalized prediction presents an important yet challenging task, which predicts user-specific preferences on a large number of items given limited information. It is often modeled as certain recommender systems focusing on ordinal or continuous ratings, as in collaborative filtering and content-based filtering. In this article, we propose a new collaborative ranking system to predict most-preferred items for each user given search queries. Particularly, we propose a <i>ψ</i>-ranker based on ranking functions incorporating information on users, items, and search queries through latent factor models. Moreover, we show that the proposed nonconvex surrogate pairwise <i>ψ</i>-loss performs well under four popular bipartite ranking losses, such as the sum loss, pairwise zero-one loss, discounted cumulative gain, and mean average precision. We develop a parallel computing strategy to optimize the intractable loss of two levels of nonconvex components through difference of convex programming and block successive upper-bound minimization. Theoretically, we establish a probabilistic error bound for the <i>ψ</i>-ranker and show that its ranking error has a sharp rate of convergence in the general framework of bipartite ranking, even when the dimension of the model parameters diverges with the sample size. Consequently, this result also indicates that the <i>ψ</i>-ranker performs better than two major approaches in bipartite ranking: pairwise ranking and scoring. Finally, we demonstrate the utility of the <i>ψ</i>-ranker by comparing it with some strong competitors in the literature through simulated examples as well as Expedia booking data. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.11505552
title: Public acceptance towards waste-to-energy power plants: a new quantified assessment based on “willingness to pay”

description: This article estimates the impact of residential risk perception on the willingness to pay (WTP) to avoid having waste-to-energy (WTE) power plants in the neighborhood. The filed survey shows that 63.4% of the respondents protested for various reasons. It is noteworthy that house owners indicate a greater willingness for resettlement than house renters. However, residents who take WTE incineration facilities into consideration before settlement are more inclined to oppose the payment for facility relocation. Determinants of protest and supportive responses are evaluated by the sample selection method (SSM). Empirical results show that the average WTP for avoiding WTE facilities being sited in the neighborhood is 2,160 CNY, which is reliable because we include protest responses in the estimation process. Housing price, gender, and living area are decisive factors for the WTP value; in particular, the marginal effect of exaggerated risk perception on WTP amounts to 1,074 CNY.
DOI: 10.6084/m9.figshare.11505552.v1
title: Public acceptance towards waste-to-energy power plants: a new quantified assessment based on “willingness to pay”

description: This article estimates the impact of residential risk perception on the willingness to pay (WTP) to avoid having waste-to-energy (WTE) power plants in the neighborhood. The filed survey shows that 63.4% of the respondents protested for various reasons. It is noteworthy that house owners indicate a greater willingness for resettlement than house renters. However, residents who take WTE incineration facilities into consideration before settlement are more inclined to oppose the payment for facility relocation. Determinants of protest and supportive responses are evaluated by the sample selection method (SSM). Empirical results show that the average WTP for avoiding WTE facilities being sited in the neighborhood is 2,160 CNY, which is reliable because we include protest responses in the estimation process. Housing price, gender, and living area are decisive factors for the WTP value; in particular, the marginal effect of exaggerated risk perception on WTP amounts to 1,074 CNY.
DOI: 10.6084/m9.figshare.11505468
title: River rehabilitation: preference factors and public participation implications

description: Human activities have caused the degradation of rivers and streams, and consequently, the disruption of the provision of valuable services. Therefore, the rehabilitation of these ecosystems can provide many benefits that will contribute to the well-being of society. However, these projects often meet with controversial public responses because of conflicting interests and expectations. Through a literature review, this paper identifies and describes the main public preference factors for river rehabilitation. Understanding the multiple factors that inform the public’s preference for rehabilitation actions might assist decision-makers in anticipating conflicts and outline rehabilitation management strategies that can improve the acceptability of river rehabilitation, thus helping to ensure the sustainability of these projects. These factors are categorised as: socio-cultural, perceptual, and physical. Using these findings, we develop a conceptual framework for understanding how these preference factors and the knowledge about them can be used to increase the acceptance of river rehabilitation.
DOI: 10.6084/m9.figshare.11505468.v1
title: River rehabilitation: preference factors and public participation implications

description: Human activities have caused the degradation of rivers and streams, and consequently, the disruption of the provision of valuable services. Therefore, the rehabilitation of these ecosystems can provide many benefits that will contribute to the well-being of society. However, these projects often meet with controversial public responses because of conflicting interests and expectations. Through a literature review, this paper identifies and describes the main public preference factors for river rehabilitation. Understanding the multiple factors that inform the public’s preference for rehabilitation actions might assist decision-makers in anticipating conflicts and outline rehabilitation management strategies that can improve the acceptability of river rehabilitation, thus helping to ensure the sustainability of these projects. These factors are categorised as: socio-cultural, perceptual, and physical. Using these findings, we develop a conceptual framework for understanding how these preference factors and the knowledge about them can be used to increase the acceptance of river rehabilitation.
DOI: 10.6084/m9.figshare.11505147
title: The regional heterogeneity of wind power deployment: an empirical investigation of land-use policies in Germany and Sweden

description: The purpose of this paper is to analyze and compare the impacts of land-use policies on wind power deployment at the regional levels in Germany and Sweden. We use data for the period 2008–2012, and an econometric approach in which the probability of having any wind power capacity additions and the actual level of increased capacity, given that it is positive, are permitted to be determined by different processes. The results confirm the importance of land-use policies, e.g., priority and exclusion areas, and interesting differences across the two countries are found. The impact of priority areas has been more profound in Germany, while the assignment of protected areas instead has constituted a more binding policy tool in Sweden. Cross-country differences in the relevance of various explanatory variables are linked to factors such as geographical patterns, design of wind power support schemes, and the allocation of decision-making power in planning processes.
DOI: 10.6084/m9.figshare.11505255
title: Choice experiment assessment of anglers’ salmonid conservation preferences

description: Wild Atlantic salmon and sea trout are in danger in several fisheries of the northern hemisphere due to anthropic activities. The pressures on fish stocks include excessive commercial and recreational harvests, as well as habitat depletion. In this paper, we present a choice experiment assessment of recreational anglers’ preferences for conservation options, aiming to reduce harvest and improve ecosystem quality of salmon fisheries using Ireland as a case study. Data were collected by online survey and analysed with a latent class logit model. Results indicate two groups of anglers with diverging opinions and preferences on salmon conservation priorities, which will likely be reflected in different levels of acceptance of conservation initiatives.
DOI: 10.6084/m9.figshare.11505147.v1
title: The regional heterogeneity of wind power deployment: an empirical investigation of land-use policies in Germany and Sweden

description: The purpose of this paper is to analyze and compare the impacts of land-use policies on wind power deployment at the regional levels in Germany and Sweden. We use data for the period 2008–2012, and an econometric approach in which the probability of having any wind power capacity additions and the actual level of increased capacity, given that it is positive, are permitted to be determined by different processes. The results confirm the importance of land-use policies, e.g., priority and exclusion areas, and interesting differences across the two countries are found. The impact of priority areas has been more profound in Germany, while the assignment of protected areas instead has constituted a more binding policy tool in Sweden. Cross-country differences in the relevance of various explanatory variables are linked to factors such as geographical patterns, design of wind power support schemes, and the allocation of decision-making power in planning processes.
DOI: 10.6084/m9.figshare.11505255.v1
title: Choice experiment assessment of anglers’ salmonid conservation preferences

description: Wild Atlantic salmon and sea trout are in danger in several fisheries of the northern hemisphere due to anthropic activities. The pressures on fish stocks include excessive commercial and recreational harvests, as well as habitat depletion. In this paper, we present a choice experiment assessment of recreational anglers’ preferences for conservation options, aiming to reduce harvest and improve ecosystem quality of salmon fisheries using Ireland as a case study. Data were collected by online survey and analysed with a latent class logit model. Results indicate two groups of anglers with diverging opinions and preferences on salmon conservation priorities, which will likely be reflected in different levels of acceptance of conservation initiatives.
DOI: 10.6084/m9.figshare.11504943
title: Spatial determinants and underlying drivers of land-use transitions in European Russia from 1770 to 2010

description: Historic land-use and land-cover data are important inputs for assessing the impacts of human activity on the environment. Our goal was to reconstruct land-cover change from 1770 to 2010 and to evaluate its spatial determinants and underlying drivers for three study sites in diverse agroecological settings in Ryazan province in European Russia. We used historic maps and statistics as well as satellite imagery to reconstruct land-cover change and categorize it into six distinct land-management regimes. We applied spatially-explicit logistic regressions to assess which spatial determinants have had the strongest influences on land cover and how these influences have changed over time. Our results show how long-term land-cover trajectories can be modulated by broad political and economic alterations, rather than through gradual and local demand-side pressures from a rising population density and an increasing local demand for agricultural commodities.
DOI: 10.6084/m9.figshare.11504943.v1
title: Spatial determinants and underlying drivers of land-use transitions in European Russia from 1770 to 2010

description: Historic land-use and land-cover data are important inputs for assessing the impacts of human activity on the environment. Our goal was to reconstruct land-cover change from 1770 to 2010 and to evaluate its spatial determinants and underlying drivers for three study sites in diverse agroecological settings in Ryazan province in European Russia. We used historic maps and statistics as well as satellite imagery to reconstruct land-cover change and categorize it into six distinct land-management regimes. We applied spatially-explicit logistic regressions to assess which spatial determinants have had the strongest influences on land cover and how these influences have changed over time. Our results show how long-term land-cover trajectories can be modulated by broad political and economic alterations, rather than through gradual and local demand-side pressures from a rising population density and an increasing local demand for agricultural commodities.
DOI: 10.6084/m9.figshare.11504562
title: Dataset for: Identifying Aspirin Polymorphs from Combined DFT-Based Crystal Structure Prediction and Solid-State NMR

description: A combined experimental and computational approach was used to distinguish between different polymorphs of the pharmaceutical drug aspirin. This method involves the use of Ab Initio Random Structure Searching (AIRSS), a DFT-based crystal structure prediction method for the high-accuracy prediction of polymorphic structures, with DFT calculations of NMR parameters and solid-state NMR experiments at natural abundance. AIRSS was used to predict the crystal structures of form-I and form-II of aspirin. The root-mean-square deviation (RMSD) between experimental and calculated 1H chemical shifts was used to identify form-I as the polymorph present in the experimental sample, the selection being successful despite the large similarities between the molecular environments in the crystals of the two polymorphs.
DOI: 10.6084/m9.figshare.11504562.v1
title: Dataset for: Identifying Aspirin Polymorphs from Combined DFT-Based Crystal Structure Prediction and Solid-State NMR

description: A combined experimental and computational approach was used to distinguish between different polymorphs of the pharmaceutical drug aspirin. This method involves the use of Ab Initio Random Structure Searching (AIRSS), a DFT-based crystal structure prediction method for the high-accuracy prediction of polymorphic structures, with DFT calculations of NMR parameters and solid-state NMR experiments at natural abundance. AIRSS was used to predict the crystal structures of form-I and form-II of aspirin. The root-mean-square deviation (RMSD) between experimental and calculated 1H chemical shifts was used to identify form-I as the polymorph present in the experimental sample, the selection being successful despite the large similarities between the molecular environments in the crystals of the two polymorphs.
DOI: 10.25380/iastate.11503833
title: Distance, environmental, and habitat data for breeding marsh birds surveyed in Iowa wetlands, 2016 - 2017

description: This data set includes information from surveys conducted for breeding marsh birds in restored and soon-to-be-restored shallow lakes in Iowa. These shallow lakes are managed by the Iowa Department of Natural Resources (DNR). We conducted point counts at shallow lakes during the summers of 2016 and 2017. We recorded the distance between the observer and the individual birds in order to calculate density estimates using distance sampling techniques. We also recorded environmental and habitat variables that may influence the detection of these species. Detection-adjusted estimates were used to assess changes in breeding bird density across shallow lakes in three restoration states: not restored, 1-5 years after restoration, and 6-11 years after restoration. These values can be used by the Iowa DNR to assess the impact of restoration on the density of breeding marsh birds.<br>This data supports the article:Vanausdall, R. A. and S. J. Dinsmore. Detection and density of breeding marsh birds in Iowa wetlands. <i>PloS ONE</i>, in press.<br>
DOI: 10.6084/m9.figshare.11503956
title: Habitat Suitability Model for American Coot

description: Raster model of breeding habitat suitability for American Coots within the contiguous U.S. Model development described by Stevens and Conway (2020).<br><br> These data are supplemental materials for the following manuscript: <br> Stevens, B.S., and C.J. Conway. 2020. Mapping habitat suitability at range-wide scales: spatially-explicit distribution models to inform conservation and research for marsh birds. Conservation Science and Practice 2:in press.
DOI: 10.25380/iastate.11503833.v1
title: Distance, environmental, and habitat data for breeding marsh birds surveyed in Iowa wetlands, 2016 - 2017

description: This data set includes information from surveys conducted for breeding marsh birds in restored and soon-to-be-restored shallow lakes in Iowa. These shallow lakes are managed by the Iowa Department of Natural Resources (DNR). We conducted point counts at shallow lakes during the summers of 2016 and 2017. We recorded the distance between the observer and the individual birds in order to calculate density estimates using distance sampling techniques. We also recorded environmental and habitat variables that may influence the detection of these species. Detection-adjusted estimates were used to assess changes in breeding bird density across shallow lakes in three restoration states: not restored, 1-5 years after restoration, and 6-11 years after restoration. These values can be used by the Iowa DNR to assess the impact of restoration on the density of breeding marsh birds.<br>This data supports the article:Vanausdall, R. A. and S. J. Dinsmore. Detection and density of breeding marsh birds in Iowa wetlands. <i>PloS ONE</i>, in press.<br>
DOI: 10.6084/m9.figshare.11503956.v1
title: Habitat Suitability Model for American Coot

description: Raster model of breeding habitat suitability for American Coots within the contiguous U.S. Model development described by Stevens and Conway (2020).<br><br> These data are supplemental materials for the following manuscript: <br> Stevens, B.S., and C.J. Conway. 2020. Mapping habitat suitability at range-wide scales: spatially-explicit distribution models to inform conservation and research for marsh birds. Conservation Science and Practice 2:in press.
DOI: 10.6084/m9.figshare.11503296
title: bioassay data from: More is not always better: coinfections with defensive symbionts generate highly variable outcomes.

description: Weldon SR, Russell JA, Oliver KM. 2020. More is not always better: coinfections. with defensive symbionts generate highlyvariable outcomes. Appl Environ Microbiol 86:e02537-19. https://doi.org/10.1128/AEM .02537-19.Enemy challenge and component fitness assays. <br>
DOI: 10.6084/m9.figshare.11503056
title: Spearman correlation among experimental replicates of ChIP-seq, ATAC-seq and MeDIP-seq

description: This is the value corresponding to the heatmap.<br>
DOI: 10.6084/m9.figshare.11503110
title: Property Graph Ontology (Experiments and Case Studies)

description: Datasets and experiments from two areas: 1) how much disk space graphs occupy before and after the transformation, 2) case studies show how our proposal can be extended with additional semantics
DOI: 10.6084/m9.figshare.11503110.v1
title: Property Graph Ontology (Experiments and Case Studies)

description: Datasets and experiments from two areas: 1) how much disk space graphs occupy before and after the transformation, 2) case studies show how our proposal can be extended with additional semantics
DOI: 10.6084/m9.figshare.11503110.v2
title: Property Graph Ontology (Experiments and Case Studies)

description: Datasets and experiments from two areas: 1) how much disk space graphs occupy before and after the transformation, 2) case studies show how our proposal can be extended with additional semantics
DOI: 10.6084/m9.figshare.11502075
title: AJP-Supplementary Data.docx

description: role of Sirtuin 3 in pericyte and fibrosis
DOI: 10.6084/m9.figshare.11502075.v1
title: AJP-Supplementary Data.docx

description: role of Sirtuin 3 in pericyte and fibrosis
DOI: 10.6084/m9.figshare.11500881
title: Can the foregut nematode Haemonchus contortus influence the fecal microbial community of the experimentally infected lambs treated with medicinal plants?

description: Dataset of DGGE eubacteria analysisDataset of feces fermentation products analysis<br>
DOI: 10.6084/m9.figshare.11500881.v1
title: The effect of a mixture of medicinal herbs on the fecal microbial community of the lambs experimentally infected with Haemonchus contortus

description: Dataset of DGGE analysisDataset of feces fermentation products analysis<br>