cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14743830
title: Improving Predictions When Interest Focuses on Extreme Random Effects

description: Statistical models that generate predicted random effects are widely used to evaluate the performance of and rank patients, physicians, hospitals and health plans from longitudinal and clustered data. Predicted random effects have been proven to outperform treating clusters as fixed effects (essentially a categorical predictor variable) and using standard regression models, on average. These predicted random effects are often used to identify extreme or outlying values, such as poorly performing hospitals or patients with rapid declines in their health. When interest focuses on the extremes rather than performance on average, there has been no systematic investigation of best approaches. We develop novel methods for prediction of extreme values, evaluate their performance, and illustrate their application using data from the Osteoarthritis Initiative to predict walking speed in older adults. The new methods substantially outperform standard random and fixed-effects approaches for extreme values.
DOI: 10.6084/m9.figshare.14743830.v2
title: Improving Predictions When Interest Focuses on Extreme Random Effects

description: Statistical models that generate predicted random effects are widely used to evaluate the performance of and rank patients, physicians, hospitals and health plans from longitudinal and clustered data. Predicted random effects have been proven to outperform treating clusters as fixed effects (essentially a categorical predictor variable) and using standard regression models, on average. These predicted random effects are often used to identify extreme or outlying values, such as poorly performing hospitals or patients with rapid declines in their health. When interest focuses on the extremes rather than performance on average, there has been no systematic investigation of best approaches. We develop novel methods for prediction of extreme values, evaluate their performance, and illustrate their application using data from the Osteoarthritis Initiative to predict walking speed in older adults. The new methods substantially outperform standard random and fixed-effects approaches for extreme values.
DOI: 10.6084/m9.figshare.14743830.v1
title: Improving predictions when interest focuses on extreme random effects

description: Statistical models that generate predicted random effects are widely used to evaluate the performance of and rank patients, physicians, hospitals and health plans from longitudinal and clustered data. Predicted random effects have been proven to outperform treating clusters as fixed effects (essentially a categorical predictor variable) and using standard regression models, on average. These predicted random effects are often used to identify extreme or outlying values, such as poorly performing hospitals or patients with rapid declines in their health. When interest focuses on the extremes rather than performance on average, there has been no systematic investigation of best approaches. We develop novel methods for prediction of extreme values, evaluate their performance, and illustrate their application using data from the Osteoarthritis Initiative to predict walking speed in older adults. The new methods substantially outperform standard random and fixed effects approaches for extreme values.
DOI: 10.6084/m9.figshare.14779490
title: Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression

description: Frontal power asymmetry (FA), a measure of brain function derived from electroencephalography, is a potential biomarker for major depressive disorder (MDD). Though FA is functional in nature, it is typically reduced to a scalar value prior to analysis, possibly obscuring its relationship with MDD and leading to a number of studies that have provided contradictory results. To overcome this issue, we sought to fit a functional regression model to characterize the association between FA and MDD status, adjusting for age, sex, cognitive ability, and handedness using data from a large clinical study that included both MDD and healthy control (HC) subjects. Since nearly 40% of the observations are missing data on either FA or cognitive ability, we propose an extension of multiple imputation (MI) by chained equations that allows for the imputation of both scalar and functional data. We also propose an extension of Rubin’s Rules for conducting valid inference in this setting. The proposed methods are evaluated in a simulation and applied to our FA data. For our FA data, a pooled analysis from the imputed datasets yielded similar results to those of the complete case analysis. We found that, among young females, HCs tended to have higher FA over the <i>θ</i>, <i>α</i>, and <i>β</i> frequency bands, but that the difference between HC and MDD subjects diminishes and ultimately reverses with age. For males, HCs tended to have higher FA in the <i>β</i> frequency band, regardless of age. Young male HCs had higher FA in the <i>θ</i> and <i>α</i> bands, but this difference diminishes with increasing age in the <i>α</i> band and ultimately reverses with increasing age in the <i>θ</i> band. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.14779490.v2
title: Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression

description: Frontal power asymmetry (FA), a measure of brain function derived from electroencephalography, is a potential biomarker for major depressive disorder (MDD). Though FA is functional in nature, it is typically reduced to a scalar value prior to analysis, possibly obscuring its relationship with MDD and leading to a number of studies that have provided contradictory results. To overcome this issue, we sought to fit a functional regression model to characterize the association between FA and MDD status, adjusting for age, sex, cognitive ability, and handedness using data from a large clinical study that included both MDD and healthy control (HC) subjects. Since nearly 40% of the observations are missing data on either FA or cognitive ability, we propose an extension of multiple imputation (MI) by chained equations that allows for the imputation of both scalar and functional data. We also propose an extension of Rubin’s Rules for conducting valid inference in this setting. The proposed methods are evaluated in a simulation and applied to our FA data. For our FA data, a pooled analysis from the imputed datasets yielded similar results to those of the complete case analysis. We found that, among young females, HCs tended to have higher FA over the <i>θ</i>, <i>α</i>, and <i>β</i> frequency bands, but that the difference between HC and MDD subjects diminishes and ultimately reverses with age. For males, HCs tended to have higher FA in the <i>β</i> frequency band, regardless of age. Young male HCs had higher FA in the <i>θ</i> and <i>α</i> bands, but this difference diminishes with increasing age in the <i>α</i> band and ultimately reverses with increasing age in the <i>θ</i> band. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.
DOI: 10.6084/m9.figshare.14779490.v1
title: Elucidating age and sex-dependent association between frontal EEG asymmetry and depression: An application of multiple imputation in functional regression

description: Frontal power asymmetry (FA), a measure of brain function derived from electroencephalography, is a potential biomarker for major depressive disorder (MDD). Though FA is functional in nature, it is typically reduced to a scalar value prior to analysis, possibly obscuring its relationship with MDD and leading to a number of studies that have provided contradictory results. To overcome this issue, we sought to fit a functional regression model to characterize the association between FA and MDD status, adjusting for age, sex, cognitive ability, and handedness using data from a large clinical study that included both MDD and healthy control (HC) subjects. Since nearly 40% of the observations are missing data on either FA or cognitive ability, we propose an extension of multiple imputation (MI) by chained equations that allows for the imputation of both scalar and functional data. We also propose an extension of Rubin’s Rules for conducting valid inference in this setting. The proposed methods are evaluated in a simulation and applied to our FA data. For our FA data, a pooled analysis from the imputed data sets yielded similar results to those of the complete case analysis. We found that, among young females, HCs tended to have higher FA over the <i>θ</i>, <i>α</i>, and <i>β</i> frequency bands, but that the difference between HC and MDD subjects diminishes and ultimately reverses with age. For males, HCs tended to have higher FA in the <i>β</i> frequency band, regardless of age. Young male HCs had higher FA in the <i>θ</i> and <i>α</i> bands, but this difference diminishes with increasing age in the <i>α</i> band and ultimately reverses with increasing age in the <i>θ</i> band.
DOI: 10.21223/p3/ngx3bj/jjd5u5
title: Fieldbook.tab

description: :unav
DOI: 10.21223/p3/ngx3bj/mgeiep
title: Data_dictionary.xls

description: :unav
DOI: 10.21223/p3/ngx3bj/cwao7z
title: Fieldbook _V1.tab

description: :unav
DOI: 10.5517/ccdc.csd.cc279z6r
title: CCDC 2065164: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279z7s
title: CCDC 2065165: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279z8t
title: CCDC 2065166: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279z9v
title: CCDC 2065167: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279zbw
title: CCDC 2065168: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279zcx
title: CCDC 2065169: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279zdy
title: CCDC 2065170: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5517/ccdc.csd.cc279zfz
title: CCDC 2065171: Experimental Crystal Structure Determination

description: Related Article: M. Zain H. Kazmi, Jason P. G. Rygus, Hwee Ting Ang, Marco Paladino, Matthew A. Johnson, Michael J. Ferguson, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|10143|doi:10.1021/jacs.1c02462
DOI: 10.5281/zenodo.5138306
title: Supporting data for the manuscript "Generation of lineage-resolved complete metagenome-assembled genomes in complex microbial communities"

description: Supporting data for the manuscript titled "Generation of lineage-resolved complete metagenome-assembled genomes in complex microbial communities". The archive includes: metaFlye assmeblies and graphs for HiFi and CLR datasets. HiFi and CLR3 bins/MAGs produced using bin3C / DAS_Tool HiFi MAG taxonomy identifications and completeness info MAGPhase results on HiFi and CLR assmeblies Krona plots with sample composition analysis rRNA/tRNA annotations for the HiFi assembly
DOI: 10.5281/zenodo.4729049
title: Supporting data for the manuscript "Generation of lineage-resolved complete metagenome-assembled genomes in complex microbial communities"

description: Supporting data for the manuscript titled "Generation of lineage-resolved complete metagenome-assembled genomes in complex microbial communities". The archive includes: metaFlye assmeblies and graphs for HiFi and CLR datasets. HiFi and CLR3 bins/MAGs produced using bin3C / DAS_Tool HiFi MAG taxonomy identifications and completeness info MAGPhase results on HiFi and CLR assmeblies Krona plots with sample composition analysis rRNA/tRNA annotations for the HiFi assembly
DOI: 10.5281/zenodo.5138173
title: Test

description: Test
DOI: 10.5281/zenodo.5138163
title: Test

description: Test
DOI: 10.5066/f7m32t1c
title: Establishing a baseline: the amphibians of Lower Suwannee National Wildlife Refuge, Dixie and Levy Counties, Florida

description: From 2002-2006, we used a variety of sampling techniques to survey the amphibians and water chemistry of Lower Suwannee National Wildlife Refuge in Florida's Big Bend region. We recorded 23 amphibian species, 19 frogs and 4 salamanders. Species richness was lower than in areas of the coastal Big Bend region to the north. Amphibians occupied a wide variety of habitats and appeared tolerant of the generally acidic conditions of many of the wetlands. Although additional species may yet be found in LSNWR, this survey provides a historic baseline for assessing future status and trends of amphibian populations.
DOI: 10.5066/f7zp44bv
title: Hawaii Volcanoes National Park Landbird Surveys 2015-2016

description: Hawai`i Volcanoes National Park (HAVO) was surveyed for landbirds and landbird habitat from February through April 2015 and February through April 2016. This information provides the second datum in the time-series of Pacific Island Network (PACN) monitoring for long-term trends in landbird distribution, density, and abundance. Initial PACN surveys were conducted in 2010 and are repeated every five years. The entire survey area was comprised of eight tracts in forest, woodland, and shrub habitat, totaling 26,364 ha. Each tract was surveyed using point-transect distance sampling to calculate estimates of bird abundance and density. In addition to the permanent PACN survey transects, randomly generated point-transects were also surveyed, allowing for a split panel sampling design.
DOI: 10.3886/e118321v1
title: Malleostapedotomy

description: Retrospective analysis of patient’s files and pre and post operative audiograms, for cases of surgically treated otosclerosis with malleostapedotomy.
DOI: 10.25934/00004797.1
title: IPD datapackage for study 'A Randomized, Double-Blind, Placebo-Controlled, Parallel-Group, Multicenter Study to Evaluate the Efficacy, Safety, and Tolerability of Canagliflozin as Monotherapy in the Treatment of Subjects With Type 2 Diabetes Mellitus Inadequately Controlled With Diet and Exercise' and research request: 'An individual participant data meta-analysis to evaluate a new category of hypoglycemic drugs (SGLT-2Is) on type 2 diabetes mellitus patient sub-groups'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25345/c5xk0r
title: MassIVE MSV000087883 - Residue Analysis Ceramics Run 2 without Exclusion List
title: Dataset contains LC-MS/MS data from archaeological ceramics, focused on residues. Two sample types: fragmentation sections (fragments were pulverized into a powder) or below surface (ceramic surface was burred off using a dremel). Data were obtained in positive and negative mode without an exclusion list containing features from blanks.
DOI: 10.5281/zenodo.5138329
title: Data and code for the publication of "Fluctuating hydrodynamics of chiral active fluids"

description: We provide all the data used to make the plots in main figures, extended figures and supplementary figures in our paper "Fluctuating hydrodynamics of chiral active fluids". We also provide codes to reproduce the simulation results shown in the paper
DOI: 10.6084/m9.figshare.15057294
title: Main.zip

description: Data used for H-darrieus VAWT study<br>Ansys Workbench 2021 R1
DOI: 10.5066/p91vla5n
title: Enhanced wildfire at the Frasnian-Famennian boundary and its implications for O2 level and F-F mass extinction: evidence from organic petrology and Os isotope stratigraphy

description: In this study, organic petrology and Osmium isotope (187Os/188Os) stratigraphy, major and trace element, and programmed pyrolysis analysis were performed on five outcrop samples from western New York, USA. Seawater Os isotope composition is controlled by radiogenic input from weathering of the ancient land and nonradiogenic input from extraterrestrial and hydrothermal sources (Peucker-Ehrenbrink and Ravizza, 2000). Os is complexed by the organic matter present at the time of deposition without isotope fractionation. Seawater Os isotope composition is reconstructed by analysing the Os isotope composition of the organic-rich sedimentary rock (Turgeon et al., 2007). The short residence time of Os (10 - 50 kyrs) in seawater makes it homogenised in the ocean, thus the Os isotope record from an open marine setting is representative of the global signal (Peucker-Ehrenbrink and Ravizza, 2000; Rooney et al., 2016). Here, we report increased inertinite as evidence for enhanced wildfire events at the F-F boundary and give implications on the F-F mass extinction. O2 level is estimated to be around (24.8%) with the average inertinite abundance data. Unlike previously thought, our findings support a model with higher atmospheric oxygen level (Berner et al., 2003) during the Late Frasnian to early Famennian (Late Devonian). The atmospheric oxygen level may have reached the present level (21%) at late Frasnian (25 Myrs earlier than previous thought). Our Osi record excludes extra-terrestrial impact or hydrothermal event as a trigger for the mass extinction. Also, we give implications on the mechanism of Re-Os enrichment and fractionation in the organic-rich sedimentary rocks. References Peucker-Ehrenbrink, B., and Ravizza, G., 2000, The marine osmium isotope record: Terra Nova, v. 12, no. 5, p. 205-219. Turgeon, S. C., Creaser, R. A., and Algeo, T. J., 2007, Re-Os depositional ages and seawater Os estimates for the Frasnian-Famennian boundary: Implications for weathering rates, land plant evolution, and extinction mechanisms: Earth and Planetary Science Letters, v. 261, no. 3-4, p. 649-661.
DOI: 10.5066/f71z42kj
title: Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US

description: In the southwestern US, the meteorological phenomenon known as atmospheric rivers (ARs) has gained increasing attention due to its strong connections to floods, snowpacks and water supplies in the West Coast states. Relatively less is known about the ecological implications of ARs, particularly in the interior Southwest, where AR storms are less common. To address this gap, we compared a chronology of AR landfalls on the west coast between 1989-2011 and between 25-42.5N, to annual metrics of the Normalized Difference Vegetation Index (NDVI; an indicator of vegetation productivity) and daily-resolution precipitation data to assess influences of AR-fed winter precipitation on vegetation productivity across the southwestern US. We mapped correlations between winter AR precipitation during landfalling ARs and 1) annual maximum NDVI and 2) area burned by large wildfires summarized by ecoregion during the same year as the landfalls and during the following year. The data produced by this study include four sets of eight raster grids (total = 32 grids) representing Spearman Rank correlation coefficients for four types of comparisons across eight different latitudinal bands. Each dataset is named according to the comparison type and latitude of AR landfall. The four types of comparisons (with corresponding filenames indicated in parentheses) include: 1) annual winter atmospheric river precipitation vs. total annual winter precipitation (AR_WinterPrecip), 2) annual winter atmospheric river precipitation vs. annual maximum NDVI (AR_NDVI), 3) spatially-averaged annual winter atmospheric river precipitation vs. area burned by wildfire during the same year by Level IV ecoregion (AR_Fire_SameYear), and 4) spatially-averaged annual winter atmospheric river precipitation vs. area burned by wildfire with a 1-year lag by Level IV ecoregion (AR_Fire_OneYearLag). The eight landfall latitudes are indicated in filenames as follows: 25N, 27_5N, 30N, 32_5N, 35N, 37_5_N, 40N, 42_5N.
DOI: 10.5066/p9qn1hbt
title: Hawaii Island Environmental Sampler Comparison 2016-2018

description: These data include metadata and associated data files associated with the manuscript, &amp;quot;Economical Environmental Sampler Designs for Detecting Airborne Spread of Fungi Responsible for Rapid Ohi'a Death.&amp;quot; These data include a total of 8 datasets used for both controlled and field studies evaluating the use of Active (with battery operated fan) and Passive (dependent on wind) USGS Environmental Samplers on Hawaii Island between 2016-2018. Samplers were operated under controlled laboratory and field conditions with a commercial sampler (Rotorodi Model 20) to compare efficacy in capturing synthetic polyethylene spheres (12 - 160 micrometer in diameter) and also Xyleborus spp. boring dust (frass) known to contain the fungi responsible for Rapid Ohi'a Death (Ceratocystis lukuohia and C. huliohia). Samplers were also tested at a field site with confirmed ROD mortality to demonstrate their ability to detect Ceratocystis DNA in beetle frass from infected trees and wood chips associated with tree felling under a range of environmental conditions. Data files consists of particle counts, particle measurements, and results of qPCR (quantitative polymerase chain reaction) tests to determine presence or absence of Ceratocystis DNA on tape strips that were exposed in samplers and tape strips that were spiked with known numbers of Ceratocystis spores to determine sensitivity of the methodology.
DOI: 10.5066/f7xw4gxc
title: Depth-to-water area polygons, isopleths showing mean annual runoff, 1912-1963, and water-level altitude contours for the Humboldt River Basin, Nevada

description: This USGS data release represents the 1:500,000-scale geospatial data for the following publication: Eakin, T.E., and Lamke, R.D., 1966, Hydrologic reconnaissance of the Humboldt River basin, Nevada: Nevada Department of Conservation and Natural Resources, Water Resources Bulletin 32, 107 p. The data set consists of 3 separate items: 1. Depth-to-water area polygons 2. Isopleths showing mean annual runoff, 1912-1963 3. Water-level altitude contours