cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11920905
title: DeepLearningTurbulence

description: Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulenceT. George, G. Manucharyan and A. Thompson<br>Code and data associated with the above publication.<br>The instructions for use and files contained can be found in the readme.
DOI: 10.6084/m9.figshare.11920800
title: Metadata record for: A database of freshwater fish species of the Amazon Basin

description: This dataset contains key characteristics about the data described in the Data Descriptor A database of freshwater fish species of the Amazon Basin. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11920800.v1
title: Metadata record for: A database of freshwater fish species of the Amazon Basin

description: This dataset contains key characteristics about the data described in the Data Descriptor A database of freshwater fish species of the Amazon Basin. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.11920776
title: A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis

description: <b>This article is motivated by a regression analysis of electroencephalography (EEG) neuroimaging data with high-dimensional correlated responses with multilevel nested correlations. We develop a divide-and-conquer procedure implemented in a fully distributed and parallelized computational scheme for statistical estimation and inference of regression parameters. Despite significant efforts in the literature, the computational bottleneck associated with high-dimensional likelihoods prevents the scalability of existing methods. The proposed method addresses this challenge by dividing responses into subvectors to be analyzed separately and in parallel on a distributed platform using pairwise composite likelihood. Theoretical challenges related to combining results from dependent data are overcome in a statistically efficient way using a meta-estimator derived from Hansen’s generalized method of moments. We provide a rigorous theoretical framework for efficient estimation, inference, and goodness-of-fit tests. We develop an R package for ease of implementation. We illustrate our method’s performance with simulations and the analysis of the EEG data, and find that iron deficiency is significantly associated with two auditory recognition memory related potentials in the left parietal-occipital region of the brain. Supplementary materials for this article are available online.</b>
DOI: 10.6084/m9.figshare.11920776.v1
title: A Distributed and Integrated Method of Moments for High-Dimensional Correlated Data Analysis

description: <b>This article is motivated by a regression analysis of electroencephalography (EEG) neuroimaging data with high-dimensional correlated responses with multilevel nested correlations. We develop a divide-and-conquer procedure implemented in a fully distributed and parallelized computational scheme for statistical estimation and inference of regression parameters. Despite significant efforts in the literature, the computational bottleneck associated with high-dimensional likelihoods prevents the scalability of existing methods. The proposed method addresses this challenge by dividing responses into subvectors to be analyzed separately and in parallel on a distributed platform using pairwise composite likelihood. Theoretical challenges related to combining results from dependent data are overcome in a statistically efficient way using a meta-estimator derived from Hansen’s generalized method of moments. We provide a rigorous theoretical framework for efficient estimation, inference, and goodness-of-fit tests. We develop an R package for ease of implementation. We illustrate our method’s performance with simulations and the analysis of the EEG data, and find that iron deficiency is significantly associated with two auditory recognition memory related potentials in the left parietal-occipital region of the brain. Supplementary materials for this article are available online.</b>
DOI: 10.6084/m9.figshare.11920788.v1
title: Fly Microbiome Diet Database

description: This is the working version of the Fly Microbiome Diet Database, a compilation of published <i>Drosophila </i>diets used by laboratories in the field of fly microbiome research. In addition to listing dietary components as they are described in published research methods, we calculate macronutrient content and protein to carbohydrate ratio of each diet for the purpose of making comparisons between dietary nutrient content across studies. The source files for each diet component's nutrition facts are accessible at https://doi.org/10.6084/m9.figshare.11920743.v1.<br>The database is subject to change as new studies are added or nutritional information is updated to be more accurate.
DOI: 10.6084/m9.figshare.11920740
title: New Hampshire Public Opinion on the Future of Dams

description: Granite State Poll (GSP) is a quarterly poll conducted by the University of New Hampshire Survey Center. Each poll conducts random-sample telephone interviews with about 500 New Hampshire adults. Survey Center interviewers ask basic demographic questions that are common for all polls, along with varied political and client-proposed questions. The GSP data archived here combine results from three separate polls (conducted in February, April and August 2018), which included four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project. This archived dataset includes questions about dams in New Hampshire and other background factors most relevant to this study. <br>The first text file is the metadata file, the second file is in format ready to be open in STATA software (.dta), and the third file is in a .csv format.<br>The metadata readme.txt file was generated by Natallia Leuchanka Diessner and Lawrence C. Hamilton, and was reviewed and approved by all co-authors.<br>
DOI: 10.6084/m9.figshare.11920740.v2
title: New Hampshire Public Opinion on the Future of Dams

description: Granite State Poll (GSP) is a quarterly poll conducted by the University of New Hampshire Survey Center. Each poll conducts random-sample telephone interviews with about 500 New Hampshire adults. Survey Center interviewers ask basic demographic questions that are common for all polls, along with varied political and client-proposed questions. The GSP data archived here combine results from three separate polls (conducted in February, April and August 2018), which included four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project. This archived dataset includes questions about dams in New Hampshire and other background factors most relevant to this study. <br>The first text file is the metadata file, the second file is in format ready to be open in STATA software (.dta), and the third file is in a .csv format.<br>The metadata readme.txt file was generated by Natallia Leuchanka Diessner and Lawrence C. Hamilton, and was reviewed and approved by all co-authors.<br>
DOI: 10.6084/m9.figshare.11920740.v1
title: New Hampshire Public Opinion on the Future of Dams

description: Granite State Poll (GSP) is a quarterly poll conducted by the University of New Hampshire Survey Center. Each poll conducts random-sample telephone interviews with about 500 New Hampshire adults. Survey Center interviewers ask basic demographic questions that are common for all polls, along with varied political and client-proposed questions. The GSP data archived here combine results from three separate polls (conducted in February, April and August 2018), which included four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project. This archived dataset includes questions about dams in New Hampshire and other background factors most relevant to this study. <br>The first text file is the metadata file, the second file is in format ready to be open in STATA software (.dta), and the third file is in a .csv format.<br>The metadata readme.txt file was generated by Natallia Leuchanka Diessner and Lawrence C. Hamilton, and was reviewed and approved by all co-authors.<br>
DOI: 10.6084/m9.figshare.11920722
title: Table S1. Geochemistry and Nd isotopic composition of the Permian Ko Sire Formation, Phuket Island, Thailand: Implications for palaeoclimate and palaeogeographic configuration of the Sibumasu Terrane

description: Table S1. Trace element data (in ppm) for the Ko Sire Formation samples.
DOI: 10.6084/m9.figshare.11920722.v1
title: Table S1. Geochemistry and Nd isotopic composition of the Permian Ko Sire Formation, Phuket Island, Thailand: Implications for palaeoclimate and palaeogeographic configuration of the Sibumasu Terrane

description: Table S1. Trace element data (in ppm) for the Ko Sire Formation samples.
DOI: 10.6084/m9.figshare.11920512
title: Intrinsic fluorescence emission of EncFtn proteins upon titration with Zn(II)

description: - Fluorescence emission of EncFtn proteins (20 µM, corresponding to [entry-site] = 10 µM) at various wavelength (330 nm for EncFtn_WT and E31A, 355 nm for EncFtn_E34A and E31A/E34A, and 322 nm for EncFtn_W38A) with excitation at 280 nm, and following titration with ZnSO4 .7H2O.<br><br> - Full spectrum (emission=290-400nm, excitation=280 nm) of EncFtn proteins (20 µM, corresponding to [entry-site] = 10 µM) WT, E31A, E34A, W38A, and E31A/E34A.
DOI: 10.6084/m9.figshare.11920512.v1
title: Intrinsic fluorescence emission of EncFtn proteins upon titration with Zn(II)

description: Fluorescence emission of EncFtn proteins (20 µM, corresponding to [entry-site] = 10 µM) at various wavelength (330 nm for EncFtn_WT and E31A, 355 nm for EncFtn_E34A and E31A/E34A, and 322 nm for EncFtn_W38A) with excitation at 280 nm, and following titration with ZnSO4 .7H2O.
DOI: 10.6084/m9.figshare.11920386
title: A genome-wide association studies of residual feed intake and feed conversion ratio in Duroc pigs

description: A total of 982 Duroc pigs were examined for FCR and RFI traits. All individuals were genotyped using the Illumina PorcineSNP60K Beadchip. The GWAS was performed using linear mixed model.This database was used for the analyses of the article titled: A genome-wide association studies of residual feed intake and feed conversion ratio in Duroc pigs
DOI: 10.6084/m9.figshare.11920386.v1
title: A genome-wide association studies of residual feed intake in Duroc pigs

description: A total of 982 Duroc pigs were examined for FCR and RFI traits. All individuals were genotyped using the Illumina PorcineSNP60K Beadchip. The GWAS was performed using linear mixed model.
DOI: 10.6084/m9.figshare.11920116
title: all data_PNAS_2020-01563.xlsx

description: This file contains all data featured in the associated PNAS article.
DOI: 10.6084/m9.figshare.11920116.v1
title: all data_PNAS_2020-01563.xlsx

description: This file contains all data featured in the associated PNAS article.
DOI: 10.6084/m9.figshare.11920110
title: Microbiome Pooled Data OA.xlsx from Role of the intestinal microbiome in low-density polyethylene degradation by caterpillar larvae of the greater wax moth, <i>Galleria mellonella</i>

description: Recently, a few insects, including the caterpillar larva of the greater wax moth <i>Galleria mellonella</i>, have been identified as avid ‘plastivores’. These caterpillars are able to ingest and metabolize polyethylene at unprecedented rates. While it appears that <i>G. mellonella</i> plays an important role in the biodegradation process, the contribution of its intestinal microbiome remains poorly understood and contested. In a series of experiments, we present strong evidence of an intricate relationship between an intact microbiome, low-density polyethylene (LDPE) biodegradation and the production of glycol as a metabolic by-product. First, we biochemically confirmed that <i>G. mellonella</i> larvae consume and metabolize LDPE, as individual caterpillars fed on polyethylene excreted glycol, but those excretions were reduced by antibiotic treatment. Further, while the gut bacterial communities remained relatively stable regardless of diet, we showed that during the early phases of feeding on LDPE (24–72 h), caterpillars exhibited increased microbial abundance relative to those starved or fed on their natural honeycomb diet. Finally, by isolating and growing gut bacteria with polyethylene as their exclusive carbon source for over 1 year, we identified microorganisms in the genus <i>Acinetobacter</i> that appeared to be involved in this biodegradation process. Taken collectively, our study indicates that during short term exposure, the intestinal microbiome of <i>G. mellonella</i> is intricately associated with polyethylene biodegradation <i>in vivo</i>.
DOI: 10.6084/m9.figshare.11920110.v1
title: Microbiome Pooled Data OA.xlsx from Role of the intestinal microbiome in low-density polyethylene degradation by caterpillar larvae of the greater wax moth, <i>Galleria mellonella</i>

description: Recently, a few insects, including the caterpillar larva of the greater wax moth <i>Galleria mellonella</i>, have been identified as avid ‘plastivores’. These caterpillars are able to ingest and metabolize polyethylene at unprecedented rates. While it appears that <i>G. mellonella</i> plays an important role in the biodegradation process, the contribution of its intestinal microbiome remains poorly understood and contested. In a series of experiments, we present strong evidence of an intricate relationship between an intact microbiome, low-density polyethylene (LDPE) biodegradation and the production of glycol as a metabolic by-product. First, we biochemically confirmed that <i>G. mellonella</i> larvae consume and metabolize LDPE, as individual caterpillars fed on polyethylene excreted glycol, but those excretions were reduced by antibiotic treatment. Further, while the gut bacterial communities remained relatively stable regardless of diet, we showed that during the early phases of feeding on LDPE (24–72 h), caterpillars exhibited increased microbial abundance relative to those starved or fed on their natural honeycomb diet. Finally, by isolating and growing gut bacteria with polyethylene as their exclusive carbon source for over 1 year, we identified microorganisms in the genus <i>Acinetobacter</i> that appeared to be involved in this biodegradation process. Taken collectively, our study indicates that during short term exposure, the intestinal microbiome of <i>G. mellonella</i> is intricately associated with polyethylene biodegradation <i>in vivo</i>.
DOI: 10.6084/m9.figshare.11920071
title: Fault seal modelling – the influence of fluid properties on fault sealing capacity in hydrocarbon and CO<sub>2</sub> systems

description: Supplementary Tables 1 and 2.
DOI: 10.6084/m9.figshare.11920071.v1
title: Fault seal modelling – the influence of fluid properties on fault sealing capacity in hydrocarbon and CO<sub>2</sub> systems

description: Supplementary Tables 1 and 2.
DOI: 10.6084/m9.figshare.11920041
title: serum uric acid level and central body fat distribution.xlsx

description: Raw data from the study of Correlation between serum uric acid level and central body fat distribution in patients with type 2 diabetes<br>
DOI: 10.6084/m9.figshare.11920029
title: Lock 2020 miRNA Microarray supp files

description: miRNA raw data, microarray analysis and miRNA target prediction for fetal and adolescent sheep three days following infarction. Platform: GPL20132. Microarray assay was performed using a service provider (LC Sciences).<br>
DOI: 10.6084/m9.figshare.11920029.v1
title: Lock 2020 miRNA Microarray supp files

description: miRNA raw data, microarray analysis and miRNA target prediction for fetal and adolescent sheep three days following infarction. Platform: GPL20132. Microarray assay was performed using a service provider (LC Sciences).<br>
DOI: 10.6084/m9.figshare.11919999
title: Matlab code: steady-state solution of the non-linear Mathieu equation from Onset and limiting amplitude of yaw instability of a submerged three-tethered buoy. 11 November 2019 3 February 2020

description: In this paper the dynamics of a submerged axi-symmetric wave energy converter are studied, through mathematical models and wave basin experiments. The device is disk-shaped and taut-moored via three inclined tethers which also act as a power take-off. We focus on parasitic yaw motion, which is excited parametrically due to coupling with heave. Assuming linear hydrodynamics throughout, but considering both linear and nonlinear tether geometry, governing equations are derived in 6 degrees of freedom (d.f.). From the linearized equations, all motions, apart from yaw, are shown to be contributing to the overall power absorption. At higher orders, the yaw governing equation can be recast into a classical Mathieu equation (linear in yaw), or a nonlinear Mathieu equation with cubic damping and stiffness terms. The well-known stability diagram for the classical Mathieu equation allows prediction of onset/occurrence of yaw instability. From the nonlinear Mathieu equation, we develop an approximate analytical solution for the amplitude of the unstable motions. Comparison with regular wave experiments confirms the utility of both models for making relevant predictions. Additionally, irregular wave tests are analysed whereby yaw instability is successfully correlated to the amount of parametric excitation and linear damping. This study demonstrates the importance of considering all modes of motion in design, not just the power-producing ones. Our simplified 1 d.f. yaw model provides fundamental understanding of the presence and severity of the instability. The methodology could be applied to other wave-activated devices.
DOI: 10.6084/m9.figshare.11919999.v1
title: Matlab code: steady-state solution of the non-linear Mathieu equation from Onset and limiting amplitude of yaw instability of a submerged three-tethered buoy. 11 November 2019 3 February 2020

description: In this paper the dynamics of a submerged axi-symmetric wave energy converter are studied, through mathematical models and wave basin experiments. The device is disk-shaped and taut-moored via three inclined tethers which also act as a power take-off. We focus on parasitic yaw motion, which is excited parametrically due to coupling with heave. Assuming linear hydrodynamics throughout, but considering both linear and nonlinear tether geometry, governing equations are derived in 6 degrees of freedom (d.f.). From the linearized equations, all motions, apart from yaw, are shown to be contributing to the overall power absorption. At higher orders, the yaw governing equation can be recast into a classical Mathieu equation (linear in yaw), or a nonlinear Mathieu equation with cubic damping and stiffness terms. The well-known stability diagram for the classical Mathieu equation allows prediction of onset/occurrence of yaw instability. From the nonlinear Mathieu equation, we develop an approximate analytical solution for the amplitude of the unstable motions. Comparison with regular wave experiments confirms the utility of both models for making relevant predictions. Additionally, irregular wave tests are analysed whereby yaw instability is successfully correlated to the amount of parametric excitation and linear damping. This study demonstrates the importance of considering all modes of motion in design, not just the power-producing ones. Our simplified 1 d.f. yaw model provides fundamental understanding of the presence and severity of the instability. The methodology could be applied to other wave-activated devices.
DOI: 10.6084/m9.figshare.11919984
title: Supplementary file 2: raw data from The Flexiscope: a low cost, flexible, convertible and modular microscope with automated scanning and micromanipulation

description: This folder contains the data pertaining to all the plots featured in the figures.
DOI: 10.6084/m9.figshare.11919990
title: Matlab code: stability diagram for the classical linear Mathieu equation from Onset and limiting amplitude of yaw instability of a submerged three-tethered buoy. 11 November 2019 3 February 2020

description: In this paper the dynamics of a submerged axi-symmetric wave energy converter are studied, through mathematical models and wave basin experiments. The device is disk-shaped and taut-moored via three inclined tethers which also act as a power take-off. We focus on parasitic yaw motion, which is excited parametrically due to coupling with heave. Assuming linear hydrodynamics throughout, but considering both linear and nonlinear tether geometry, governing equations are derived in 6 degrees of freedom (d.f.). From the linearized equations, all motions, apart from yaw, are shown to be contributing to the overall power absorption. At higher orders, the yaw governing equation can be recast into a classical Mathieu equation (linear in yaw), or a nonlinear Mathieu equation with cubic damping and stiffness terms. The well-known stability diagram for the classical Mathieu equation allows prediction of onset/occurrence of yaw instability. From the nonlinear Mathieu equation, we develop an approximate analytical solution for the amplitude of the unstable motions. Comparison with regular wave experiments confirms the utility of both models for making relevant predictions. Additionally, irregular wave tests are analysed whereby yaw instability is successfully correlated to the amount of parametric excitation and linear damping. This study demonstrates the importance of considering all modes of motion in design, not just the power-producing ones. Our simplified 1 d.f. yaw model provides fundamental understanding of the presence and severity of the instability. The methodology could be applied to other wave-activated devices.
DOI: 10.6084/m9.figshare.11919984.v1
title: Supplementary file 2: raw data from The Flexiscope: a low cost, flexible, convertible and modular microscope with automated scanning and micromanipulation

description: This folder contains the data pertaining to all the plots featured in the figures.
DOI: 10.6084/m9.figshare.11919972
title: Supplementary file 1: assembly and code from The Flexiscope: a low cost, flexible, convertible and modular microscope with automated scanning and micromanipulation

description: This folder contains Flexiscope assembly instructions, automated stage guidelines/code and 3D printed components.