cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12827769
title: 1-ExploreCovariates.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070655
title: Additional file 18 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 18. lectin tree.tre.
DOI: 10.6084/m9.figshare.18070676
title: Additional file 24 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 24. SVMP propeptide tree.tre.
DOI: 10.6084/m9.figshare.18070664.v1
title: Additional file 20 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 20. PIII SVMP alignment.fasta.
DOI: 10.6084/m9.figshare.18070667
title: Additional file 21 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 21. PIII SVMP tree.tre.
DOI: 10.6084/m9.figshare.12827778.v1
title: 4-Prediction.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070673
title: Additional file 23 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 23. SVMP propeptide alignment.fasta.
DOI: 10.6084/m9.figshare.18070525
title: Additional file 4 of Hypoxia-mediated YTHDF2 overexpression promotes lung squamous cell carcinoma progression by activation of the mTOR/AKT axis

description: Additional file 4. The clinicopathological characteristics of LUSC.
DOI: 10.6084/m9.figshare.18070676.v1
title: Additional file 24 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 24. SVMP propeptide tree.tre.
DOI: 10.6084/m9.figshare.18070682.v1
title: Additional file 26 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 26. sequences and IDs.xlsx.
DOI: 10.6084/m9.figshare.18070525.v1
title: Additional file 4 of Hypoxia-mediated YTHDF2 overexpression promotes lung squamous cell carcinoma progression by activation of the mTOR/AKT axis

description: Additional file 4. The clinicopathological characteristics of LUSC.
DOI: 10.6084/m9.figshare.18070682
title: Additional file 26 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 26. sequences and IDs.xlsx.
DOI: 10.6084/m9.figshare.18070685
title: Additional file 27 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 27. MrBayes settings.txt.
DOI: 10.6084/m9.figshare.12827760
title: FitModelExcSigns.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070634.v1
title: Additional file 11 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 11. kallikrein alignment.fasta.
DOI: 10.6084/m9.figshare.18070688.v1
title: Additional file 28 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 28. MEME LRT_P values.csv.
DOI: 10.6084/m9.figshare.18070691.v1
title: Additional file 2 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 2. 3ftx tree.tre.
DOI: 10.6084/m9.figshare.18070646.v1
title: Additional file 15 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 15. kunitz tree.tre.
DOI: 10.6084/m9.figshare.12827769.v1
title: 1-ExploreCovariates.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070703.v1
title: Additional file 6 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 6. CNP tree.tre.
DOI: 10.6084/m9.figshare.17010271.v1
title: Additional file 6 of A systems genetics approach reveals PbrNSC as a regulator of lignin and cellulose biosynthesis in stone cells of pear fruit

description: Additional file 6. List of identified distant eQTL hotspots (P value &lt; 0.01).
DOI: 10.6084/m9.figshare.18070522.v1
title: Additional file 3 of Hypoxia-mediated YTHDF2 overexpression promotes lung squamous cell carcinoma progression by activation of the mTOR/AKT axis

description: Additional file 3. Hypoxia-RT-qPCR-SK-MES-1.
DOI: 10.6084/m9.figshare.12827739.v1
title: outline2_points.csv from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.12827775.v1
title: outline1_points.csv from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070661
title: Additional file 1 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 1. 3ftx alignment.fasta.
DOI: 10.6084/m9.figshare.12291611.v1
title: Additional file 2 of APEC: an accesson-based method for single-cell chromatin accessibility analysis

description: Additional file 2. Table S1.
DOI: 10.6084/m9.figshare.12827745
title: 2-PdLPredictionGrid.csv from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.18070685.v1
title: Additional file 27 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 27. MrBayes settings.txt.
DOI: 10.6084/m9.figshare.17010280.v1
title: Additional file 9 of A systems genetics approach reveals PbrNSC as a regulator of lignin and cellulose biosynthesis in stone cells of pear fruit

description: Additional file 9. The reported local eQTL for genes in stone cell modules.
DOI: 10.6084/m9.figshare.12827760.v1
title: FitModelExcSigns.R from A multivariate geostatistical framework for combining multiple indices of abundance for disease vectors and reservoirs: a case study of <i>rattiness</i> in a low-income urban Brazilian community

description: A key requirement in studies of endemic vector-borne or zoonotic disease is an estimate of the spatial variation in vector or reservoir host abundance. For many vector species, multiple indices of abundance are available, but current approaches to choosing between or combining these indices do not fully exploit the potential inferential benefits that might accrue from modelling their joint spatial distribution. Here, we develop a class of multivariate generalized linear geostatistical models for multiple indices of abundance. We illustrate this novel methodology with a case study on Norway rats in a low-income urban Brazilian community, where rat abundance is likely risk factor for human leptospirosis. We combine three indices of rat abundance to draw predictive inferences on a spatially continuous latent process, <i>rattiness</i>, that acts as a proxy for abundance. We show how to explore the association between <i>rattiness</i> and spatially varying environmental factors, evaluate the relative importance of each of the three contributing indices and assess the presence of residual, unexplained spatial variation, and identify <i>rattiness</i> hotspots. The proposed methodology is applicable more generally as a tool for understanding the role of vector or reservoir host abundance in predicting spatial variation in the risk of human disease.
DOI: 10.6084/m9.figshare.17010235.v1
title: Additional file 11 of A systems genetics approach reveals PbrNSC as a regulator of lignin and cellulose biosynthesis in stone cells of pear fruit

description: Additional file 11. Lignin and cellulose gene families.
DOI: 10.6084/m9.figshare.17010241
title: Additional file 13 of A systems genetics approach reveals PbrNSC as a regulator of lignin and cellulose biosynthesis in stone cells of pear fruit

description: Additional file 13. The genes connections in the co-expression network of lignin and cellulose.
DOI: 10.6084/m9.figshare.18070667.v1
title: Additional file 21 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 21. PIII SVMP tree.tre.
DOI: 10.3886/e194521v1
title: Data and code for: Does the Squeaky Wheel Get More Grease? The Direct and Indirect Effects of Citizen Participation on Environmental Governance in China

description: We conducted a nationwide field experiment in China to evaluate the direct and indirect impacts of assigning firms to public or private citizen appeals when they violate pollution standards. There are three main findings. First, public appeals to the regulator through social media substantially reduce violations and pollution emissions, while private appeals cause more modest environmental improvements. Second, public appeals appear to tilt regulators’ focus away from facilitating economic growth and toward avoiding pollution-induced public unrest. Third, pollution reductions by treated firms are not offset by control firms, based on randomly varying the proportion of treatment firms at the prefecture-level.
description: The sample is comprised of the 24,620 polluting firms required to install Continuous Emissions Monitoring System (CEMS) by the central government by January 1st, 2020.
description: Polliting firms in China.
description: other; web scraping;
DOI: 10.6084/m9.figshare.18070673.v1
title: Additional file 23 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 23. SVMP propeptide alignment.fasta.
DOI: 10.6084/m9.figshare.18070664
title: Additional file 20 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 20. PIII SVMP alignment.fasta.
DOI: 10.6084/m9.figshare.18070703
title: Additional file 6 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 6. CNP tree.tre.
DOI: 10.6084/m9.figshare.18070691
title: Additional file 2 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 2. 3ftx tree.tre.
DOI: 10.6084/m9.figshare.18070712
title: Additional file 9 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 9. CRISP tree.tre.
DOI: 10.6084/m9.figshare.18070712.v1
title: Additional file 9 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 9. CRISP tree.tre.
DOI: 10.6084/m9.figshare.25219985
title: KAP HIV self testing in High school and University students

description: KAP study HIV Data
DOI: 10.6084/m9.figshare.12291614
title: Additional file 3 of APEC: an accesson-based method for single-cell chromatin accessibility analysis

description: Additional file 3. Table S2.
DOI: 10.6084/m9.figshare.13352123
title: Additional file 6 of STARRPeaker: uniform processing and accurate identification of STARR-seq active regions

description: Additional file 6: Supplementary Table S5. Sensitivity analysis of using alternative parameters against default parameters (bin 500 bp, step 100 bp, min 200 bp, max 1000 bp) using the HepG2 rep1 dataset.
DOI: 10.6084/m9.figshare.18070688
title: Additional file 28 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 28. MEME LRT_P values.csv.
DOI: 10.6084/m9.figshare.13352123.v1
title: Additional file 6 of STARRPeaker: uniform processing and accurate identification of STARR-seq active regions

description: Additional file 6: Supplementary Table S5. Sensitivity analysis of using alternative parameters against default parameters (bin 500 bp, step 100 bp, min 200 bp, max 1000 bp) using the HepG2 rep1 dataset.
DOI: 10.6084/m9.figshare.13352132
title: Additional file 9 of STARRPeaker: uniform processing and accurate identification of STARR-seq active regions

description: Additional file 9: Supplementary Table S8. Sensitivity and specificity analysis using the Fulco 2016 CRISPRi dataset.
DOI: 10.6084/m9.figshare.18070700.v1
title: Additional file 5 of Dynamic genetic differentiation drives the widespread structural and functional convergent evolution of snake venom proteinaceous toxins

description: Additional file 5. CNP alignment.fasta.