cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12879707.v1
title: Additional file 4 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 4:Complete list of Fusarium oxysporum f. sp. melonis(FOM) transcripts identified by cDNA-AFLP analysis from fungal samples of colonies grown in vitro and selected for sequencing. TDFs were chosen on the basis of their differential abundance in the different FOM strains. Identification numbers (ID) correspond to the progressive numbering of bands in the gels. The primer combination used to visualize each band (Bst-Mse column) and the corresponding length of the fragment are reported, along with the accession number retrieved from the database and the corresponding blast score and annotation. In addition, the file reports the presence (+) or absence (-) of expression of each transcript for the 3 strains of FOM. (XLS 34 KB)
DOI: 10.6084/m9.figshare.7949483
title: Komodo dragon genome and gene predictions

description: Genome
DOI: 10.6084/m9.figshare.7949492.v1
title: gVCF_NA20888

description: 1000 Genomes gVCF mapped to hs37d5 for NA20888. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.12879698.v1
title: Additional file 1 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 1:Complete list of melon genes modulated by infection with avirulent (ISPaVe1070 race1) or virulent (ISPaVe1018 and ISPaVe1083 strains of race 1,2) strains of Fusarium oxysporum f. sp. melonis, organized by clusters as defined in the results section. Identification numbers (ID) correspond to the progressive numbering of bands in the gels. The primer combination used to visualize each band (Bst-Mse column) and the corresponding length of the fragment are reported, along with the accession number retrieved from the Melon Unigene or Uniprot database, the annotation, the corresponding blast score, and the functional category to which each transcript was assigned. In addition, the file reports the expression profile of each transcript, estimated on the basis of the band intensity with a score ranging from -3 to 3, in comparison to the corresponding band in the mock-inoculated controls. (XLS 184 KB)
DOI: 10.6084/m9.figshare.12879704.v1
title: Additional file 3 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 3:List of the core 54 melon genes, which remain modulated in a coherent way (induced or repressed) throughout the experiment (from 4 dpi onwards) in the incompatible interaction between melon and the FOM race 1 strain ISPaVe1070. (XLS 38 KB)
DOI: 10.6084/m9.figshare.7949486
title: gVCF_NA20886

description: 1000 Genomes gVCF mapped to hs37d5 for NA20886. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.12879707
title: Additional file 4 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 4:Complete list of Fusarium oxysporum f. sp. melonis(FOM) transcripts identified by cDNA-AFLP analysis from fungal samples of colonies grown in vitro and selected for sequencing. TDFs were chosen on the basis of their differential abundance in the different FOM strains. Identification numbers (ID) correspond to the progressive numbering of bands in the gels. The primer combination used to visualize each band (Bst-Mse column) and the corresponding length of the fragment are reported, along with the accession number retrieved from the database and the corresponding blast score and annotation. In addition, the file reports the presence (+) or absence (-) of expression of each transcript for the 3 strains of FOM. (XLS 34 KB)
DOI: 10.6084/m9.figshare.7949465
title: gVCF_NA20885

description: 1000 Genomes gVCF mapped to hs37d5 for NA20885. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.12879704
title: Additional file 3 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 3:List of the core 54 melon genes, which remain modulated in a coherent way (induced or repressed) throughout the experiment (from 4 dpi onwards) in the incompatible interaction between melon and the FOM race 1 strain ISPaVe1070. (XLS 38 KB)
DOI: 10.6084/m9.figshare.12879710
title: Additional file 5 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 5:List of primers used in Real time RT-PCR analysis. Identification numbers (ID) correspond to the progressive numbering of bands in the gels. The accession codes for each gene represent the corresponding database in which homology was identified, MU = Melon Unigene, FOX = Fusarium Comparative Database. (XLS 24 KB)
DOI: 10.6084/m9.figshare.7949486.v1
title: gVCF_NA20886

description: 1000 Genomes gVCF mapped to hs37d5 for NA20886. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949489.v1
title: gVCF_NA20887

description: 1000 Genomes gVCF mapped to hs37d5 for NA20887. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949459
title: gVCF_NA20882

description: 1000 Genomes gVCF mapped to hs37d5 for NA20882. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949462
title: gVCF_NA20884

description: 1000 Genomes gVCF mapped to hs37d5 for NA20884. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949450
title: gVCF_NA20881

description: 1000 Genomes gVCF mapped to hs37d5 for NA20881. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949453
title: Dataset Almeida et al.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.6084/m9.figshare.7949459.v1
title: gVCF_NA20882

description: 1000 Genomes gVCF mapped to hs37d5 for NA20882. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949483.v1
title: Komodo dragon genome and gene predictions

description: Genome
DOI: 10.6084/m9.figshare.7949447
title: gVCF_NA20878

description: 1000 Genomes gVCF mapped to hs37d5 for NA20878. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949462.v1
title: gVCF_NA20884

description: 1000 Genomes gVCF mapped to hs37d5 for NA20884. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.12879710.v1
title: Additional file 5 of Distinct colonization patterns and cDNA-AFLP transcriptome profiles in compatible and incompatible interactions between melon and different races of Fusarium oxysporum f. sp. melonis

description: Additional file 5:List of primers used in Real time RT-PCR analysis. Identification numbers (ID) correspond to the progressive numbering of bands in the gels. The accession codes for each gene represent the corresponding database in which homology was identified, MU = Melon Unigene, FOX = Fusarium Comparative Database. (XLS 24 KB)
DOI: 10.6084/m9.figshare.7949444
title: gVCF_NA20877

description: 1000 Genomes gVCF mapped to hs37d5 for NA20877. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949450.v1
title: gVCF_NA20881

description: 1000 Genomes gVCF mapped to hs37d5 for NA20881. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949447.v1
title: gVCF_NA20878

description: 1000 Genomes gVCF mapped to hs37d5 for NA20878. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949432
title: gVCF_NA20875

description: 1000 Genomes gVCF mapped to hs37d5 for NA20875. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949444.v1
title: gVCF_NA20877

description: 1000 Genomes gVCF mapped to hs37d5 for NA20877. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949453.v1
title: Dataset Liberman.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.6084/m9.figshare.7949435
title: gVCF_NA20876

description: 1000 Genomes gVCF mapped to hs37d5 for NA20876. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949423
title: gVCF_NA20874

description: 1000 Genomes gVCF mapped to hs37d5 for NA20874. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949435.v1
title: gVCF_NA20876

description: 1000 Genomes gVCF mapped to hs37d5 for NA20876. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949417
title: gVCF_NA20872

description: 1000 Genomes gVCF mapped to hs37d5 for NA20872. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949432.v1
title: gVCF_NA20875

description: 1000 Genomes gVCF mapped to hs37d5 for NA20875. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949423.v1
title: gVCF_NA20874

description: 1000 Genomes gVCF mapped to hs37d5 for NA20874. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949453.v2
title: Dataset Almeida et al.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.6084/m9.figshare.7949417.v1
title: gVCF_NA20872

description: 1000 Genomes gVCF mapped to hs37d5 for NA20872. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949384
title: sp_nov_2001_2018_pubmed_16012019.medline

description: Output file generated from a Pubmed search using edirect tool. Medline format. Search terms: "sp. nov. [TITL] AND Bacteria/classification [Mesh]". Date: 1/16/2019<br>Command line:esearch -db pubmed -query "sp. nov. [TITL] AND Bacteria/classification [Mesh]" | efilter -mindate 2001 -maxdate 2018 -datetype PDAT | efetch -format medline &gt; sp_nov_2001_2018_pubmed_16012019.medline<br><br>Utilize "sp_nov_2001_2018_pubmed_16012019.medline" in script 1, available in https://github.com/fhsantanna/bibliometrics.<br>
DOI: 10.6084/m9.figshare.7949387
title: sp_nov_2001_2018_pubmed_16012019_ed.xml

description: Edited output file generated from a Pubmed search using edirect tool.XML format. Search terms: "sp. nov. [TITL] AND Bacteria/classification [Mesh]". Date: 1/16/2019<br>Command line: esearch -db pubmed -query "sp. nov. [TITL] AND Bacteria/classification [Mesh]" | efilter -mindate 2001 -maxdate 2018 -datetype PDAT | efetch -format xml &gt; sp_nov_2001_2018_pubmed_16012019.xml<br>The XML file was manually modified to be read by Element Tree XML module.<br>Utilize the "sp_nov_2001_2018_pubmed_16012019_ed.xml" in script 5, available in https://github.com/fhsantanna/bibliometrics.<br>
DOI: 10.6084/m9.figshare.7949381
title: gVCF_NA20871

description: 1000 Genomes gVCF mapped to hs37d5 for NA20871. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949384.v1
title: sp_nov_2001_2018_pubmed_16012019.medline

description: Output file generated from a Pubmed search using edirect tool. Medline format. Search terms: "sp. nov. [TITL] AND Bacteria/classification [Mesh]". Date: 1/16/2019<br>Command line:esearch -db pubmed -query "sp. nov. [TITL] AND Bacteria/classification [Mesh]" | efilter -mindate 2001 -maxdate 2018 -datetype PDAT | efetch -format medline &gt; sp_nov_2001_2018_pubmed_16012019.medline<br><br>Utilize "sp_nov_2001_2018_pubmed_16012019.medline" in script 1, available in https://github.com/fhsantanna/bibliometrics.<br>
DOI: 10.6084/m9.figshare.7949387.v1
title: sp_nov_2001_2018_pubmed_16012019_ed.xml

description: Edited output file generated from a Pubmed search using edirect tool.XML format. Search terms: "sp. nov. [TITL] AND Bacteria/classification [Mesh]". Date: 1/16/2019<br>Command line: esearch -db pubmed -query "sp. nov. [TITL] AND Bacteria/classification [Mesh]" | efilter -mindate 2001 -maxdate 2018 -datetype PDAT | efetch -format xml &gt; sp_nov_2001_2018_pubmed_16012019.xml<br>The XML file was manually modified to be read by Element Tree XML module.<br>Utilize the "sp_nov_2001_2018_pubmed_16012019_ed.xml" in script 5, available in https://github.com/fhsantanna/bibliometrics.<br>
DOI: 10.6084/m9.figshare.7949453.v3
title: Dataset Almeida et al.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.6084/m9.figshare.7949375
title: gVCF_NA18564

description: 1000 Genomes gVCF mapped to hs37d5 for NA18564. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949381.v1
title: gVCF_NA20871

description: 1000 Genomes gVCF mapped to hs37d5 for NA20871. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.23641/asha.7949357
title: SRTn and brain volume (Rudner et al., 2019)

description: <b>Purpose: </b>Hearing loss is associated with changes in brain volume in regions supporting auditory and cognitive processing. The purpose of this study was to determine whether there is a systematic association between hearing ability and brain volume in cross-sectional data from a large nonclinical cohort of middle-aged adults available from the UK Biobank Resource (http://www.ukbiobank.ac.uk).<b>Method: </b>We performed a set of regression analyses to determine the association between speech reception threshold in noise (SRTn) and global brain volume as well as predefined regions of interest (ROIs) based on T1-weighted structural images, controlling for hearing-related comorbidities and cognition as well as demographic factors. In a 2nd set of analyses, we additionally controlled for hearing aid (HA) use. We predicted statistically significant associations globally and in ROIs including auditory and cognitive processing regions, possibly modulated by HA use.<b>Results: </b>Whole-brain gray matter volume was significantly lower for individuals with poorer SRTn. Furthermore, the volume of 9 predicted ROIs including both auditory and cognitive processing regions was lower for individuals with poorer SRTn. The greatest percentage difference (−0.57%) in ROI volume relating to a 1 <i>SD</i> worsening of SRTn was found in the left superior temporal gyrus. HA use did not substantially modulate the pattern of association between brain volume and SRTn.<b>Conclusions:</b> In a large middle-aged nonclinical population, poorer hearing ability is associated with lower brain volume globally as well as in cortical and subcortical regions involved in auditory and cognitive processing, but there was no conclusive evidence that this effect is moderated by HA use. This pattern of results supports the notion that poor hearing leads to reduced volume in brain regions recruited during speech understanding under challenging conditions. These findings should be tested in future longitudinal, experimental studies.<br><b>Supplemental Material S1. </b>Model 1.<br><b>Supplemental Material S2. </b>Model 2.<br>Rudner, M., Seeto, M., Keidser, G., Johnson, B., & Rönnberg, J. (2019). Poorer speech reception threshold in noise is associated with lower brain volume in auditory and cognitive processing regions.<i> Journal of Speech, Language, and Hearing Research, 62</i>(4S), XXX-XXX. https://doi.org/10.1044/2018_JSLHR-H-ASCC7-18-0142<br><b>Publisher Note: </b>This article is part of the Special Issue: Select Papers From the 7th Aging and Speech Communication Conference.
DOI: 10.6084/m9.figshare.7949354
title: gVCF_NA20870

description: 1000 Genomes gVCF mapped to hs37d5 for NA20870. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949453.v5
title: Dataset Almeida et al.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.23641/asha.7949357.v1
title: SRTn and brain volume (Rudner et al., 2019)

description: <b>Purpose: </b>Hearing loss is associated with changes in brain volume in regions supporting auditory and cognitive processing. The purpose of this study was to determine whether there is a systematic association between hearing ability and brain volume in cross-sectional data from a large nonclinical cohort of middle-aged adults available from the UK Biobank Resource (http://www.ukbiobank.ac.uk).<b>Method: </b>We performed a set of regression analyses to determine the association between speech reception threshold in noise (SRTn) and global brain volume as well as predefined regions of interest (ROIs) based on T1-weighted structural images, controlling for hearing-related comorbidities and cognition as well as demographic factors. In a 2nd set of analyses, we additionally controlled for hearing aid (HA) use. We predicted statistically significant associations globally and in ROIs including auditory and cognitive processing regions, possibly modulated by HA use.<b>Results: </b>Whole-brain gray matter volume was significantly lower for individuals with poorer SRTn. Furthermore, the volume of 9 predicted ROIs including both auditory and cognitive processing regions was lower for individuals with poorer SRTn. The greatest percentage difference (−0.57%) in ROI volume relating to a 1 <i>SD</i> worsening of SRTn was found in the left superior temporal gyrus. HA use did not substantially modulate the pattern of association between brain volume and SRTn.<b>Conclusions:</b> In a large middle-aged nonclinical population, poorer hearing ability is associated with lower brain volume globally as well as in cortical and subcortical regions involved in auditory and cognitive processing, but there was no conclusive evidence that this effect is moderated by HA use. This pattern of results supports the notion that poor hearing leads to reduced volume in brain regions recruited during speech understanding under challenging conditions. These findings should be tested in future longitudinal, experimental studies.<br><b>Supplemental Material S1. </b>Model 1.<br><b>Supplemental Material S2. </b>Model 2.<br>Rudner, M., Seeto, M., Keidser, G., Johnson, B., & Rönnberg, J. (2019). Poorer speech reception threshold in noise is associated with lower brain volume in auditory and cognitive processing regions.<i> Journal of Speech, Language, and Hearing Research, 62</i>(4S), XXX-XXX. https://doi.org/10.1044/2018_JSLHR-H-ASCC7-18-0142<br><b>Publisher Note: </b>This article is part of the Special Issue: Select Papers From the 7th Aging and Speech Communication Conference.
DOI: 10.6084/m9.figshare.7949345
title: gVCF_NA18563

description: 1000 Genomes gVCF mapped to hs37d5 for NA18563. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949453.v4
title: Dataset Almeida et al.xlsx

description: Cholecalciferol increases kidney dysfunction associated with intrarenal artery calcification in obese insulin-resistant mice data<br>
DOI: 10.6084/m9.figshare.7949264
title: CCDB_3687.jpg

description: Maximum intensity projection through an optical section series/mosaic of a Purkinje neuron from the mouse cerebellar cortex injected with Lucifer Yellow and imaged with multiphoton microscopy. Both the original data and a deconvolved version are available for download. The deconvolved data can be viewed through the animation link for this data set.
DOI: 10.6084/m9.figshare.7949354.v1
title: gVCF_NA20870

description: 1000 Genomes gVCF mapped to hs37d5 for NA20870. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949345.v1
title: gVCF_NA18563

description: 1000 Genomes gVCF mapped to hs37d5 for NA18563. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949258
title: gVCF_NA20869

description: 1000 Genomes gVCF mapped to hs37d5 for NA20869. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949255
title: gVCF_NA18562

description: 1000 Genomes gVCF mapped to hs37d5 for NA18562. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949264.v1
title: CCDB_3687.jpg

description: Maximum intensity projection through an optical section series/mosaic of a Purkinje neuron from the mouse cerebellar cortex injected with Lucifer Yellow and imaged with multiphoton microscopy. Both the original data and a deconvolved version are available for download. The deconvolved data can be viewed through the animation link for this data set.
DOI: 10.25390/caryinstitute.7949189
title: Cary Environmental Monitoring Program Precipitation Chemistry Data: 1984-2017

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, water pollution and streamwater hydrology. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, the Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: The following is a standard citation for referencing data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program:<br>Cary Institute of Ecosystem Studies, Environmental Monitoring Program. 2008 (or current year). Cary Institute of Ecosystem Studies, Box AB, Millbrook, NY 12545, www.caryinstitute.org.<br>Those wishing to publish data from the Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact Data Manager Vicky Kelly, kellyv@caryinstitute.org.<br>
DOI: 10.6084/m9.figshare.7949255.v1
title: gVCF_NA18562

description: 1000 Genomes gVCF mapped to hs37d5 for NA18562. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949216
title: gVCF_NA20868

description: 1000 Genomes gVCF mapped to hs37d5 for NA20868. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949258.v1
title: gVCF_NA20869

description: 1000 Genomes gVCF mapped to hs37d5 for NA20869. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949180
title: gVCF_NA18560

description: 1000 Genomes gVCF mapped to hs37d5 for NA18560. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
DOI: 10.6084/m9.figshare.7949216.v1
title: gVCF_NA20868

description: 1000 Genomes gVCF mapped to hs37d5 for NA20868. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307