cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.3/plates/203_33968
title: Digital object identifier (DOI) for the plate 33968 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33969
title: Digital object identifier (DOI) for the plate 33969 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33970
title: Digital object identifier (DOI) for the plate 33970 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33971
title: Digital object identifier (DOI) for the plate 33971 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33972
title: Digital object identifier (DOI) for the plate 33972 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33973
title: Digital object identifier (DOI) for the plate 33973 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33974
title: Digital object identifier (DOI) for the plate 33974 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33975
title: Digital object identifier (DOI) for the plate 33975 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33976
title: Digital object identifier (DOI) for the plate 33976 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33977
title: Digital object identifier (DOI) for the plate 33977 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33978
title: Digital object identifier (DOI) for the plate 33978 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33979
title: Digital object identifier (DOI) for the plate 33979 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33980
title: Digital object identifier (DOI) for the plate 33980 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33981
title: Digital object identifier (DOI) for the plate 33981 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33982
title: Digital object identifier (DOI) for the plate 33982 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33983
title: Digital object identifier (DOI) for the plate 33983 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33984
title: Digital object identifier (DOI) for the plate 33984 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33985
title: Digital object identifier (DOI) for the plate 33985 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33986
title: Digital object identifier (DOI) for the plate 33986 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33987
title: Digital object identifier (DOI) for the plate 33987 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33988
title: Digital object identifier (DOI) for the plate 33988 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33989
title: Digital object identifier (DOI) for the plate 33989 in archive 203 from the APPLAUSE DR3
DOI: 10.17028/rd.lboro.20180150
title: Computational Research Data underlying the manuscript "Squarephaneic Tetraanhydride: A Conjugated Square-Shaped Cyclophane for the Synthesis of Porous Organic Materials"

description: Computational Research Data underlying the manuscript "Squarephaneic Tetraanhydride: A Conjugated Square-Shaped Cyclophane for the Synthesis of Porous Organic Materials" by Simon Eder, Daisy B. Thornton, Bowen Ding, Darlene Sammut, Andrew J. P. White, Felix Plasser, Ifan E. L. Stephens, Martin Heeney, Stefano Mezzavilla, and Florian Glöcklhofer. Content (<em>names of files and folders are given in</em> <strong>bold face</strong>) Computations were performed on <strong>SqTA, SqTI-Bu, SqTI-Ph, SqNa</strong> - as described in the text. The folder for each molecule contains subfolders for the individual electronic states: <strong>OPT_neut</strong>: neutral singlet state <strong>OPT_T1</strong>: neutral triplet state <strong>OPT_1M</strong>: charged state (1-) <strong>OPT_2M</strong>: charged state (2-) etc. <strong>VIST</strong>: files for VIST analysis. Each optimisation folder contains the following: <strong>qchem.[in/out]</strong>: Q-Chem input/output for geometry optimisation <strong>final.xyz</strong>: optimised geometry <strong>Freq/qchem[.in</strong>,<strong>.out]</strong>: Q-Chem input/output files for vibrational frequency analysis <strong>SOLV/qchem[.in</strong>,<strong>.out]</strong>: Q-Chem input/output files for solvated calculation used to determine redox potentials <strong>tNICS/gaussian[.com</strong>,<strong>.log]</strong>: Gaussian input/output files for NICS computation underlying the VIST plots
DOI: 10.17028/rd.lboro.20180150.v1
title: Computational Research Data underlying the manuscript "Squarephaneic Tetraanhydride: A Conjugated Square-Shaped Cyclophane for the Synthesis of Porous Organic Materials"

description: Computational Research Data underlying the manuscript "Squarephaneic Tetraanhydride: A Conjugated Square-Shaped Cyclophane for the Synthesis of Porous Organic Materials" by Simon Eder, Daisy B. Thornton, Bowen Ding, Darlene Sammut, Andrew J. P. White, Felix Plasser, Ifan E. L. Stephens, Martin Heeney, Stefano Mezzavilla, and Florian Glöcklhofer. Content (<em>names of files and folders are given in</em> <strong>bold face</strong>) Computations were performed on <strong>SqTA, SqTI-Bu, SqTI-Ph, SqNa</strong> - as described in the text. The folder for each molecule contains subfolders for the individual electronic states: <strong>OPT_neut</strong>: neutral singlet state <strong>OPT_T1</strong>: neutral triplet state <strong>OPT_1M</strong>: charged state (1-) <strong>OPT_2M</strong>: charged state (2-) etc. <strong>VIST</strong>: files for VIST analysis. Each optimisation folder contains the following: <strong>qchem.[in/out]</strong>: Q-Chem input/output for geometry optimisation <strong>final.xyz</strong>: optimised geometry <strong>Freq/qchem[.in</strong>,<strong>.out]</strong>: Q-Chem input/output files for vibrational frequency analysis <strong>SOLV/qchem[.in</strong>,<strong>.out]</strong>: Q-Chem input/output files for solvated calculation used to determine redox potentials <strong>tNICS/gaussian[.com</strong>,<strong>.log]</strong>: Gaussian input/output files for NICS computation underlying the VIST plots
DOI: 10.17876/plate/dr.3/plates/203_33990
title: Digital object identifier (DOI) for the plate 33990 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33991
title: Digital object identifier (DOI) for the plate 33991 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33992
title: Digital object identifier (DOI) for the plate 33992 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33993
title: Digital object identifier (DOI) for the plate 33993 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33994
title: Digital object identifier (DOI) for the plate 33994 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33995
title: Digital object identifier (DOI) for the plate 33995 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33996
title: Digital object identifier (DOI) for the plate 33996 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33997
title: Digital object identifier (DOI) for the plate 33997 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33998
title: Digital object identifier (DOI) for the plate 33998 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_33999
title: Digital object identifier (DOI) for the plate 33999 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34000
title: Digital object identifier (DOI) for the plate 34000 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34001
title: Digital object identifier (DOI) for the plate 34001 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34002
title: Digital object identifier (DOI) for the plate 34002 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34003
title: Digital object identifier (DOI) for the plate 34003 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34004
title: Digital object identifier (DOI) for the plate 34004 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34005
title: Digital object identifier (DOI) for the plate 34005 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34006
title: Digital object identifier (DOI) for the plate 34006 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34007
title: Digital object identifier (DOI) for the plate 34007 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34008
title: Digital object identifier (DOI) for the plate 34008 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34009
title: Digital object identifier (DOI) for the plate 34009 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34010
title: Digital object identifier (DOI) for the plate 34010 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34011
title: Digital object identifier (DOI) for the plate 34011 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34012
title: Digital object identifier (DOI) for the plate 34012 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34013
title: Digital object identifier (DOI) for the plate 34013 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34014
title: Digital object identifier (DOI) for the plate 34014 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34015
title: Digital object identifier (DOI) for the plate 34015 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34016
title: Digital object identifier (DOI) for the plate 34016 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34017
title: Digital object identifier (DOI) for the plate 34017 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34018
title: Digital object identifier (DOI) for the plate 34018 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34019
title: Digital object identifier (DOI) for the plate 34019 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34020
title: Digital object identifier (DOI) for the plate 34020 in archive 203 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/203_34021
title: Digital object identifier (DOI) for the plate 34021 in archive 203 from the APPLAUSE DR3
DOI: 10.6084/m9.figshare.19561652
title: Additional file 2 of Prevalence of porcine parvovirus 1 through 7 (PPV1-PPV7) and co-factor association with PCV2 and PRRSV in Korea

description: Additional file 2: Supplementary Table 1. Comparison of detection rates of porcine parvoviruses, in different age groups of pigs and different materials, between this study and earlier reports. “-” indicate negative results (this study) or lacking data (earlier study).
DOI: 10.6084/m9.figshare.19561652.v1
title: Additional file 2 of Prevalence of porcine parvovirus 1 through 7 (PPV1-PPV7) and co-factor association with PCV2 and PRRSV in Korea

description: Additional file 2: Supplementary Table 1. Comparison of detection rates of porcine parvoviruses, in different age groups of pigs and different materials, between this study and earlier reports. “-” indicate negative results (this study) or lacking data (earlier study).
DOI: 10.6084/m9.figshare.19561661
title: Additional file 1 of Deep whole-genome resequencing sheds light on the distribution and effect of amphioxus SNPs

description: Additional file 1: Data S1. Protein-coding sequences and annotation of the haploid reference genome. Data S2. Samples for AlphaFold2 analysis. Fig S1. Pie charts of SNPs detected in each type of genomic region in amphioxus of different sexes. Fig S2. Statistics of COG functional classes of top-1000 genes with largest number of synonymous variants (a), missense variants (b), and intron variants (c). A: RNA processing and modification; B: Chromatin structure and dynamics; C: Energy production and conversion; D: Cell cycle control, cell division, chromosome partitioning; E: Amino acid transport and metabolism; F: Nucleotide transport and metabolism; G: Carbohydrate transport and metabolism; H: Coenzyme transport and metabolism; I: Lipid transport and metabolism; J: Translation, ribosomal structure and biogenesis; K: Transcription; L: Replication, recombination and repair; M: Cell wall/membrane/envelope biogenesis; N: Cell motility; O: Posttranslational modification, protein turnover, chaperones; P: Inorganic ion transport and metabolism; Q: Secondary metabolites biosynthesis, transport and catabolism; R: General function prediction only; S: Function unknown; T: Signal transduction mechanisms; U: Intracellular trafficking, secretion, and vesicular transport; V: Defense mechanisms; W: Extracellular structures; X: Unnamed protein; Y: Nuclear structure; Z: Cytoskeleton. Fig S3. Box plot of total pN/pS ratio distribution. Table S1. Number of common SNPs on each chromosome. Table S2. Number of variants affecting each gene calculated via SnpEff. Table S3. Statistics of SNPs detected in each type of genomic region in each amphioxus sample. Table S4. Full tables of GO enrichment results.
DOI: 10.6084/m9.figshare.19561661.v1
title: Additional file 1 of Deep whole-genome resequencing sheds light on the distribution and effect of amphioxus SNPs

description: Additional file 1: Data S1. Protein-coding sequences and annotation of the haploid reference genome. Data S2. Samples for AlphaFold2 analysis. Fig S1. Pie charts of SNPs detected in each type of genomic region in amphioxus of different sexes. Fig S2. Statistics of COG functional classes of top-1000 genes with largest number of synonymous variants (a), missense variants (b), and intron variants (c). A: RNA processing and modification; B: Chromatin structure and dynamics; C: Energy production and conversion; D: Cell cycle control, cell division, chromosome partitioning; E: Amino acid transport and metabolism; F: Nucleotide transport and metabolism; G: Carbohydrate transport and metabolism; H: Coenzyme transport and metabolism; I: Lipid transport and metabolism; J: Translation, ribosomal structure and biogenesis; K: Transcription; L: Replication, recombination and repair; M: Cell wall/membrane/envelope biogenesis; N: Cell motility; O: Posttranslational modification, protein turnover, chaperones; P: Inorganic ion transport and metabolism; Q: Secondary metabolites biosynthesis, transport and catabolism; R: General function prediction only; S: Function unknown; T: Signal transduction mechanisms; U: Intracellular trafficking, secretion, and vesicular transport; V: Defense mechanisms; W: Extracellular structures; X: Unnamed protein; Y: Nuclear structure; Z: Cytoskeleton. Fig S3. Box plot of total pN/pS ratio distribution. Table S1. Number of common SNPs on each chromosome. Table S2. Number of variants affecting each gene calculated via SnpEff. Table S3. Statistics of SNPs detected in each type of genomic region in each amphioxus sample. Table S4. Full tables of GO enrichment results.
DOI: 10.5281/zenodo.6431583
title: RvE1/Chemerin-9/αNETA bound to CMKLR1

description: All docking calculations were performed with the AutoDock Vina program. The crystal structures of human CMKLR1 was used as starting point. The PDB structures of 6os0.1. A was used as template for the predication of CMKLR1. All Molecular dynamics simulations (MD) simulations were performed with the pmemd module of Amber 18 software suite. Molecular mechanics generalized born surface area (MM/GBSA) was performed with mmpbsa.py program, enclosed in Amber 18 software, to estimate the binding free energy. The translational and rotational entropy was calculated with stardard statistical mechanics formulas. The vibrational entropy was computed from the frequencies of global motions by using normal mode analysis (N-mode) in mmpbsa.py program. The coordinates for these calculations are taken from the MD simulations trajectory. All docking calculations were performed with the AutoDock Vina program.
DOI: 10.5281/zenodo.5158763
title: RvE1/Chemerin-9/αNETA bound to CMKLR1

description: All docking calculations were performed with the AutoDock Vina program. The crystal structures of human CMKLR1 was used as starting point. The PDB structures of 6os0.1. A was used as template for the predication of CMKLR1. All Molecular dynamics simulations (MD) simulations were performed with the pmemd module of Amber 18 software suite. Molecular mechanics generalized born surface area (MM/GBSA) was performed with mmpbsa.py program, enclosed in Amber 18 software, to estimate the binding free energy. The translational and rotational entropy was calculated with stardard statistical mechanics formulas. The vibrational entropy was computed from the frequencies of global motions by using normal mode analysis (N-mode) in mmpbsa.py program. The coordinates for these calculations are taken from the MD simulations trajectory. All docking calculations were performed with the AutoDock Vina program.
DOI: 10.5281/zenodo.4003852
title: UWB-IODA project, Work package 1: IR-UWB optimized pulses

description: The data files contain optimized UWB waveforms using B-spline functions. The spectral efficiency of each waveform is maximized under the constraint of the spectral mask defined by the FCC/ECC regulation authorities.
description: The related project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 838037. The content of this dataset reflects only the authors' view and the Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.4003851
title: UWB-IODA project, Work package 1: IR-UWB optimized pulses

description: The data files contain optimized UWB waveforms using B-spline functions. The spectral efficiency of each waveform is maximized under the constraint of the spectral mask defined by the FCC/ECC regulation authorities.
description: The related project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 838037. The content of this dataset reflects only the authors' view and the Research Executive Agency is not responsible for any use that may be made of the information it contains.
DOI: 10.5281/zenodo.6413399
title: Receiver function dataset

description: This Dataset include raw receiver functions for crustal anisotropy measurement in South China
DOI: 10.5281/zenodo.5814061
title: Receiver function dataset

description: This Dataset include raw receiver functions for crustal anisotropy measurement in South China
DOI: 10.5066/p9e2vu1y
title: Histopathology of little brown bats (Myotis lucifugus) collected from a maternity roost in Leelanau County, Michigan, USA, in June 2014

description: This work is part of a study investigating the movement of microcystin from aquatic to terrestrial ecosystems via trophic transfer. Little brown bats (Myotis lucifugus), feeding opportunistically on aquatic insects including Hexagenia mayflies, were collected from a maternity roost near Little Traverse Lake (Leelanau County, Michigan, USA). Bats and fecal samples were collected for dietary analysis, quantification of microcystin in livers and feces, and histopathological evaluation of the liver. Liver was collected in RNAlater and stored frozen. Livers from three bats with the highest microcystin levels by ELISA were thawed, washed with PBS, fixed in 10% neutral buffered formalin, processed routinely for histopathology, and assessed by light microscopy. Microscopic lesions included centrilobular congestion, periportal to midzonal hepatocellular vacuolation, and low numbers of portal inflammatory cells. These changes are non-specific; no evidence of acute microcystin toxicosis was present. Results suggest that despite the detection of microcystin in bat feces from the site, there is no evidence of acute clinical toxicity in the bats collected.
DOI: 10.5066/p9kcld9w
title: Performance of confidence intervals for daily streamflow estimates using four statistically-derived simulation methods across the United States
DOI: 10.5066/p905jy97
title: High-rate GNSS Observations and Finite Fault Models of Moderate to Large Earthquakes

description: This database complements the following publication: Goldberg, D. E., D. Melgar, G. P. Hayes, B. W. Crowell, and V. J. Sahakian (2021). A Ground-Motion Model for GNSS Peak Ground Displacement, Bulletin of the Seismological Society of America XX, 1-15, doi: 10.1785/0120210042. High-rate Global Navigations Satellite Systems (GNSS) data is recognized as a valuable complement to traditional inertial seismic instrumentation for recording the large ground motions at regional distances to large magnitude earthquakes. This dataset contains high-rate GNSS displacement waveforms, processed using precise point positioning, for a global set of moderate- to large-magnitude earthquakes (Mw6-9) between the years 2003 and 2019. The peak ground displacement observed at nearby stations are summarized in the text file under &quot;Peak Ground Displacement Observations&quot;. Also included are a set of one or more finite fault models for each earthquake in the dataset. Refer to the table &quot;Finite Fault Model Metadata&quot; under &quot;Finite Fault Models&quot; for the earthquake location information and original reference for each available finite fault model.This database complements the following publication: Goldberg, D. E., D. Melgar, G. P. Hayes, B. W. Crowell, and V. J. Sahakian (2021). A Ground-Motion Model for GNSS Peak Ground Displacement, Bulletin of the Seismological Society of America XX, 1-15, doi: 10.1785/0120210042. High-rate Global Navigations Satellite Systems (GNSS) data is recognized as a valuable complement to traditional inertial seismic instrumentation for recording the large ground motions at regional distances to large magnitude earthquakes. This dataset contains high-rate GNSS displacement waveforms, processed using precise point positioning, for a global set of moderate- to large-magnitude earthquakes (Mw6-9) between the years 2003 and 2019. The peak ground displacement observed at nearby stations are summarized in the text file under &quot;Peak Ground Displacement Observations&quot;. Also included are a set of one or more finite fault models for each earthquake in the dataset. Refer to the table &quot;Finite Fault Model Metadata&quot; under &quot;Finite Fault Models&quot; for the earthquake location information and original reference for each available finite fault model.