cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6407066.v1
title: Additional file 1: of The Trem2 R47H variant confers loss-of-function-like phenotypes in Alzheimer’s disease

description: Table S1. Variant calling for APPPS1–21;Trem2 +/R47H mice for the CRISPR predicted off target gene Rab11fip3, Trem2, and Trem-like genes Treml1, Treml2, and Treml6. “0/1” indicates a heterozygous variant and “./.” indicates no variants detected. Variants detected in Trem2 R47H lines but not APPPS1–21; Trem2+/+ or Trem2+/+ mice were considered to be true. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.6407015
title: Additional file 4: of Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species

description: Table S3. POCP analysis. (XLSX 20Â kb)
DOI: 10.6084/m9.figshare.6407015.v1
title: Additional file 4: of Comparative genomics reveals phylogenetic distribution patterns of secondary metabolites in Amycolatopsis species

description: Table S3. POCP analysis. (XLSX 20Â kb)
DOI: 10.6084/m9.figshare.6407003
title: MOESM2 of Selective pharmacological inhibition of DDR1 prevents experimentally-induced glomerulonephritis in prevention and therapeutic regime

description: Additional file 2. Additional tables.
DOI: 10.6084/m9.figshare.6407003.v1
title: MOESM2 of Selective pharmacological inhibition of DDR1 prevents experimentally-induced glomerulonephritis in prevention and therapeutic regime

description: Additional file 2. Additional tables.
DOI: 10.6084/m9.figshare.6406961
title: Additional file 1: of Bat rabies surveillance and risk factors for rabies spillover in an urban area of Southern Brazil

description: Raw data of Table 3. (XLSX 95Â kb)
DOI: 10.6084/m9.figshare.6406961.v1
title: Additional file 1: of Bat rabies surveillance and risk factors for rabies spillover in an urban area of Southern Brazil

description: Raw data of Table 3. (XLSX 95Â kb)
DOI: 10.6084/m9.figshare.6406916
title: Additional file 1: of Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency

description: This document contains Table S1., which kists the oligo sequences used to assemble the splicing reporters along with their corresponding variants. (XLSX 588Â kb)
DOI: 10.6084/m9.figshare.6406916.v1
title: Additional file 1: of Vex-seq: high-throughput identification of the impact of genetic variation on pre-mRNA splicing efficiency

description: This document contains Table S1., which kists the oligo sequences used to assemble the splicing reporters along with their corresponding variants. (XLSX 588Â kb)
DOI: 10.6084/m9.figshare.6406892
title: Invited talk abstract for Nanotechnology for Healthcare conference (Telc, CZ Republic 5th June 2018)

description: 11th International Conference <br>Nanotechnology for Healthcare: Progress in Recombinant Vaccines, Molecular Adjuvants and Modern Drug Delivery Systems<br>5th to 7th June 2018, Masaryk University Conference Centre,Jesuit College, Telč, Czech Republic
DOI: 10.6084/m9.figshare.6406892.v2
title: Invited talk abstract for Nanotechnology for Healthcare conference (Telc, CZ Republic 5th June 2018)

description: 11th International Conference <br>Nanotechnology for Healthcare: Progress in Recombinant Vaccines, Molecular Adjuvants and Modern Drug Delivery Systems<br>5th to 7th June 2018, Masaryk University Conference Centre,Jesuit College, Telč, Czech Republic
DOI: 10.6084/m9.figshare.6406859
title: Gurgaon.xlsx

description: This is a list of all the builders in Gurgaon (India), with their email addresses, name of the directors of the company.
DOI: 10.6084/m9.figshare.6406814
title: Earthquake Prediction using SVR and HNN

description: Seismic indicators based earthquake prediction system using support vector regressor and hybrid neural networks<br>
DOI: 10.6084/m9.figshare.6406814.v2
title: Earthquake Prediction using SVR and HNN

description: Seismic indicators based earthquake prediction system using support vector regressor and hybrid neural networks<br>
DOI: 10.15468/ysdqhv
title: Some trees of the Strict Nature Reserve (SNR 1) within Omo Biosphere Reserve, Ogun State, Nigeria

description: The Ecology section is one of the four sections in the department of forest conservation and protection of the Forestry Research Institute of Nigeria, Ibadan. As part of her mandate, the section ensures the protection and conservation of natural resources in-situ. The first Strict Nature Reserve (SNR 1) was established in Omo Forest Reserve in the Ijebu area of Ogun State, Nigeria by the Forest Research Institute of Nigeria. It was one of the SNRs initiated to help conserve forest resources, but later upgraded to a Biosphere status. The current dataset therefore, represents some tree species enumerated within the Strict Nature Resereve of Omo Biosphere Reserve. It contains 67 records and was compiled by the Section in 1946.
DOI: 10.6084/m9.figshare.6406766
title: learning sparse correlation in financial market.zip

description: It contains the daily closing price of the stocks of all China’s A share listed in 2006, time period from January 2006 to January 2018.
DOI: 10.6084/m9.figshare.6406766.v1
title: learning sparse correlation in financial market.zip

description: It contains the daily closing price of the stocks of all China’s A share listed in 2006, time period from January 2006 to January 2018.
DOI: 10.6084/m9.figshare.6406580.v2
title: Potential Impacts of Sahara Dust Aerosol on Rainfall Vertical Structure over the Atlantic Ocean as Identified from EOF Analysis (dataset.rar)

description: The current study investigates the potential impacts of Sahara dust on rainfall vertical structure over the Atlantic Ocean by employing multi-sensor satellite observations. The variabilities in rainfall vertical structure are decomposed by empirical orthogonal function (EOF) analysis. For a given near surface rain rate, the mean storm height of stratiform rain under dust-laden condition is significantly higher than that under the dust-free condition. The stratiform rain rate at the layers well above the freezing level is substantially enhanced under dust-laden condition. Those changes may result from dynamic and thermodynamic effect of Sahara Air Layer effect and/or the effect that dust aerosol acting as additional ice nuclei. For convective rain, there is no significant difference in the leading three normalized EOF modes between the dust-laden and dust-free sectors, implying that dust effect, if exists, is not strong enough to cause evident changes in convective rainfall profiles. For stratiform rain, the EOF1 shows no signals of dust effect either. However, significant difference are found in the EOF2 and EOF3 modes between dust-laden and dust-free conditions. The normalized EOF2 and EOF3 under dust-laden condition both represent enhanced rain rate at upper layer well above the freezing level, where heterogeneous ice nucleation prevails. The statistical study shows consistent results with case study, except that the aerosol-related changes in stratiform rainfall vertical structure is isolated in the EOF3 only. This study suggests EOF analysis a promising way for isolating the potential and relatively weak aerosol effects on precipitation from the strong dynamic effects.<br>
DOI: 10.6084/m9.figshare.6406580.v1
title: Potential Impacts of Sahara Dust Aerosol on Rainfall Vertical Structure over the 1 Atlantic Ocean as Identified from EOF Analysis (dataset.rar)

description: The current study investigates the potential impacts of Sahara dust on rainfall vertical structure over the Atlantic Ocean by employing multi-sensor satellite observations. The variabilities in rainfall vertical structure are decomposed by empirical orthogonal function (EOF) analysis. For a given near surface rain rate, the mean storm height of stratiform rain under dust-laden condition is significantly higher than that under the dust-free condition. The stratiform rain rate at the layers well above the freezing level is substantially enhanced under dust-laden condition. Those changes may result from dynamic and thermodynamic effect of Sahara Air Layer effect and/or the effect that dust aerosol acting as additional ice nuclei. For convective rain, there is no significant difference in the leading three normalized EOF modes between the dust-laden and dust-free sectors, implying that dust effect, if exists, is not strong enough to cause evident changes in convective rainfall profiles. For stratiform rain, the EOF1 shows no signals of dust effect either. However, significant difference are found in the EOF2 and EOF3 modes between dust-laden and dust-free conditions. The normalized EOF2 and EOF3 under dust-laden condition both represent enhanced rain rate at upper layer well above the freezing level, where heterogeneous ice nucleation prevails. The statistical study shows consistent results with case study, except that the aerosol-related changes in stratiform rainfall vertical structure is isolated in the EOF3 only. This study suggests EOF analysis a promising way for isolating the potential and relatively weak aerosol effects on precipitation from the strong dynamic effects.<br>
DOI: 10.6084/m9.figshare.6406574
title: GRL-manuscript-data-2018-6-02

description: Figure and table data of GRL manuscript
DOI: 10.6084/m9.figshare.6406568
title: Hanford Area 2016 flux data

description: This dataset includes eddy covariance measurements from the Hanford 300 Area (upland) and 100H Area (riparian) flux towers in 2016. It also includes the river stage measured by upstream and downstream piezometers at the 100H Area in 2016, water elevation measurements from a well near the 100H flux tower in 2016, and piezometer measurements from upstream, downstream, and slough locations near the 100H flux tower in 2018.
DOI: 10.6084/m9.figshare.6406568.v2
title: Hanford Area 2016 flux data

description: This dataset includes eddy covariance measurements from the Hanford 300 Area (upland) and 100H Area (riparian) flux towers in 2016. It also includes the river stage measured by upstream and downstream piezometers at the 100H Area in 2016, water elevation measurements from a well near the 100H flux tower in 2016, and piezometer measurements from upstream, downstream, and slough locations near the 100H flux tower in 2018.
DOI: 10.6084/m9.figshare.6406568.v1
title: Hanford Area 2016 flux data

description: This dataset includes eddy covariance measurements from the Hanford 300 Area (upland) and 100H Area (riparian) flux towers in 2016. It also includes the river stage at the 100H Area in 2016.
DOI: 10.6084/m9.figshare.6406475
title: Genotypes of 50 Spar tetrads

description: 50 genotype files are deposited here, each including the genotypes of 4 meiotic spores from a tetrad and their parents. "1" indicates same genotype as N17, "2" indicates same genotype as N44.
DOI: 10.6084/m9.figshare.6406274.v2
title: Total Dead Biomass California

description: (a) Dead aboveground tree biomass density resulting from tree die-off in 2012-2017 in 1000s of bone dry tons (BDTs) based on this study's calculations. Black lines represent county boundaries. (b) Comparison of the cost-effective areas location with respect to other locations where the conditions of a cost-effective harvesting are not met or it its not allowed given the National Park or Wilderness area designation. All the location with cost-effective parameters is colored in green and location with technical challenges in terms of protected land designation, slope and tree size are colored in red
DOI: 10.6084/m9.figshare.6406274.v1
title: Map1.png

description: (a) Dead aboveground tree biomass density resulting from tree die-off in 2012-2017 in 1000s of bone dry tons (BDTs) based on this study's calculations. Black lines represent county boundaries. (b) Comparison of the cost-effective areas location with respect to other locations where the conditions of a cost-effective harvesting are not met or it its not allowed given the National Park or Wilderness area designation. All the location with cost-effective parameters is colored in green and location with technical challenges in terms of protected land designation, slope and tree size are colored in red
DOI: 10.6084/m9.figshare.6406250
title: Seg_list_of_plasmodium_VSA.csv

description: Table of associations between VSAs derived from orphan_clust.py
DOI: 10.6084/m9.figshare.6406166
title: All_apicomplexa_fasta.txt

description: CDS regions of Apicomplexan variant surface antigen genes
DOI: 10.6084/m9.figshare.6406166.v1
title: All_apicomplexa_fasta.txt

description: CDS regions of Apicomplexan variant surface antigen genes
DOI: 10.6084/m9.figshare.6406148
title: GNN Forest Structure (Species-Size) Maps Western US

description: This data set is obtained from the Forestry Group at Oregon State and it is an input to the analysis presented in this data set. <br>Digital GNN imputation maps are provided as 30-m-resolution ArcGIS grids, where the grid value is a unique plot number that links to the plot database. Selected vegetation variables from the plot database are joined as items in the grid to facilitate viewing and exploratory spatial analysis. Metadata for the vegetation variables are included with the grids and in the plot database. Dates for maps developed from GNN species-size models are determined by the vintage of the satellite imagery used in their development.<br>
DOI: 10.6084/m9.figshare.6406148.v1
title: LEMMA_gnn_sppsz_2014_08_28.zip

description: This data set is obtained from the Forestry Group at Oregon State and it is an input to the analysis presented in this data set. <br>Digital GNN imputation maps are provided as 30-m-resolution ArcGIS grids, where the grid value is a unique plot number that links to the plot database. Selected vegetation variables from the plot database are joined as items in the grid to facilitate viewing and exploratory spatial analysis. Metadata for the vegetation variables are included with the grids and in the plot database. Dates for maps developed from GNN species-size models are determined by the vintage of the satellite imagery used in their development.<br>
DOI: 10.6084/m9.figshare.6406136
title: Methods and Results for: Pulling the covers in electronic health records for an association study with self-reported sleep behaviors

description: Code used to process and generate data and figures
DOI: 10.6084/m9.figshare.6406136.v1
title: Methods and Results for: Pulling the covers in electronic health records for an association study with self-reported sleep behaviors

description: Code used to process and generate data and figures
DOI: 10.6084/m9.figshare.6406100
title: A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI

description: Voxel functional magnetic resonance imaging (fMRI) time courses are complex-valued signals giving rise to magnitude and phase data. Nevertheless, most studies use only the magnitude signals and thus discard half of the data that could potentially contain important information. Methods that make use of complex-valued fMRI (CV-fMRI) data have been shown to lead to superior power in detecting active voxels when compared to magnitude-only methods, particularly for small signal-to-noise ratios (SNRs). We present a new Bayesian variable selection approach for detecting brain activation at the voxel level from CV-fMRI data. We develop models with complex-valued spike-and-slab priors on the activation parameters that are able to combine the magnitude and phase information. We present a complex-valued EM variable selection algorithm that leads to fast detection at the voxel level in CV-fMRI slices and also consider full posterior inference via Markov chain Monte Carlo (MCMC). Model performance is illustrated through extensive simulation studies, including the analysis of physically based simulated CV-fMRI slices. Finally, we use the complex-valued Bayesian approach to detect active voxels in human CV-fMRI from a healthy individual who performed unilateral finger tapping in a designed experiment. The proposed approach leads to improved detection of activation in the expected motor-related brain regions and produces fewer false positive results than other methods for CV-fMRI. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.6406100.v1
title: A Bayesian Variable Selection Approach Yields Improved Detection of Brain Activation From Complex-Valued fMRI

description: Voxel functional magnetic resonance imaging (fMRI) time courses are complex-valued signals giving rise to magnitude and phase data. Nevertheless, most studies use only the magnitude signals and thus discard half of the data that could potentially contain important information. Methods that make use of complex-valued fMRI (CV-fMRI) data have been shown to lead to superior power in detecting active voxels when compared to magnitude-only methods, particularly for small signal-to-noise ratios (SNRs). We present a new Bayesian variable selection approach for detecting brain activation at the voxel level from CV-fMRI data. We develop models with complex-valued spike-and-slab priors on the activation parameters that are able to combine the magnitude and phase information. We present a complex-valued EM variable selection algorithm that leads to fast detection at the voxel level in CV-fMRI slices and also consider full posterior inference via Markov chain Monte Carlo (MCMC). Model performance is illustrated through extensive simulation studies, including the analysis of physically based simulated CV-fMRI slices. Finally, we use the complex-valued Bayesian approach to detect active voxels in human CV-fMRI from a healthy individual who performed unilateral finger tapping in a designed experiment. The proposed approach leads to improved detection of activation in the expected motor-related brain regions and produces fewer false positive results than other methods for CV-fMRI. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.6406094.v1
title: Toward computerized efficient estimation in infinite-dimensional models

description: Despite the risk of misspecification they are tied to, parametric models continue to be used in statistical practice because they are simple and convenient to use. In particular, efficient estimation procedures in parametric models are easy to describe and implement. Unfortunately, the same cannot be said of semiparametric and nonparametric models. While the latter often reflect the level of available scientific knowledge more appropriately, performing efficient inference in these models is generally challenging. The efficient influence function is a key analytic object from which the construction of asymptotically efficient estimators can potentially be streamlined. However, the theoretical derivation of the efficient influence function requires specialized knowledge and is often a difficult task, even for experts. In this paper, we present a novel representation of the efficient influence function and describe a numerical procedure for approximating its evaluation. The approach generalizes the nonparametric procedures of Frangakis et al. (2015) and Luedtke et al. (2015) to arbitrary models. We present theoretical results to support our proposal, and illustrate the method in the context of several semiparametric problems. The proposed approach is an important step toward automating efficient estimation in general statistical models, thereby rendering more accessible the use of realistic models in statistical analyses.
DOI: 10.6084/m9.figshare.6406094.v2
title: Toward Computerized Efficient Estimation in Infinite-Dimensional Models

description: Despite the risk of misspecification they are tied to, parametric models continue to be used in statistical practice because they are simple and convenient to use. In particular, efficient estimation procedures in parametric models are easy to describe and implement. Unfortunately, the same cannot be said of semiparametric and nonparametric models. While the latter often reflect the level of available scientific knowledge more appropriately, performing efficient inference in these models is generally challenging. The efficient influence function is a key analytic object from which the construction of asymptotically efficient estimators can potentially be streamlined. However, the theoretical derivation of the efficient influence function requires specialized knowledge and is often a difficult task, even for experts. In this article, we present a novel representation of the efficient influence function and describe a numerical procedure for approximating its evaluation. The approach generalizes the nonparametric procedures of Frangakis et al. and Luedtke, Carone, and van der Laan to arbitrary models. We present theoretical results to support our proposal and illustrate the method in the context of several semiparametric problems. The proposed approach is an important step toward automating efficient estimation in general statistical models, thereby rendering more accessible the use of realistic models in statistical analyses. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.3928253
title: x264 performances on the Youtube UGC Dataset

description: The res_ugc zip contains the results of a performance analysis of x264, for 201 configurations and 1397 videos of the Youtube User General Content Dataset (see https://media.withyoutube.com/). For each video (e.g. Animation_360P-3e40), there is a corresponding file (e.g. Animation_360P-3e40.csv) gathering the measurements for this video. The experimental protocol is detailed in the related paper (to link).
DOI: 10.5281/zenodo.3928252
title: x264 performances on the Youtube UGC Dataset

description: The res_ugc zip contains the results of a performance analysis of x264, for 201 configurations and 1397 videos of the Youtube User General Content Dataset (see https://media.withyoutube.com/). For each video (e.g. Animation_360P-3e40), there is a corresponding file (e.g. Animation_360P-3e40.csv) gathering the measurements for this video. The experimental protocol is detailed in the related paper (to link).
DOI: 10.6084/m9.figshare.6406076
title: nps_boundary_california.shxNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406076.v1
title: nps_boundary_california.shxNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406073
title: nps_boundary_california.shpNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406073.v1
title: nps_boundary_california.shpNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406070
title: nps_boundary_california.qpjNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406070.v1
title: nps_boundary_california.qpjNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406067
title: nps_boundary_california.dbfNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest
DOI: 10.6084/m9.figshare.6406067.v1
title: nps_boundary_california.dbfNational Park Areas California

description: GIS layers for national park service areas.GIS Layers of the National Parks in California. Used to crop out unavailable areas for wood harvest