cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/w208tj
title: PATSTAT Biblio Spring 2017, 203-07 to 203-15

description: Bibliographical patent data
DOI: 10.6084/m9.figshare.3761562.v1132
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25405/data.ncl.8267957
title: Tissue Bank Protocol

description: Description of the purpose of the Newcastle Uteroplacental Tissue Bank, the patient categories and the tissue types sourced.
DOI: 10.25387/g3.8047727.v1
title: Supplemental Figures for Hauser et al, 2019

description: Figure S1 contains trypan blue exclusion stain of (A) non-irradiated, (B) heat-killed, and (C) laser-irradiated cells. File S1 contains a three-dimensional non-metric multidimensional scaling (3D-NMDS) plot of control (solid symbols) and laser treated (open symbols) samples collected. Table S1 contains transcripts that were differentially expressed at four time points. Volcano plots of significance vs. fold change over time are shown for the differentially expressed genes. Table S2 show the 1-way Analysis of Similarities (ANOSIM) for treatment and time on the resemblance data. Table S3 contains the full annotation of genes from Table 1. Table S4 contains transcripts that were differentially expressed at T15 and T30 at p &lt;0.05 at a minimum 4-fold change.<br>
DOI: 10.6084/m9.figshare.8160068
title: Dataset: Outcome of an HIV education program for primary care providers: screening and late diagnosis rates

description: Dataset of the article entitled impact of an HIV education program for primary care providers: screening and late diagnosis rates
DOI: 10.25387/g3.8047727
title: Supplemental Figures for Hauser et al, 2019

description: Figure S1 contains trypan blue exclusion stain of (A) non-irradiated, (B) heat-killed, and (C) laser-irradiated cells. File S1 contains a three-dimensional non-metric multidimensional scaling (3D-NMDS) plot of control (solid symbols) and laser treated (open symbols) samples collected. Table S1 contains transcripts that were differentially expressed at four time points. Volcano plots of significance vs. fold change over time are shown for the differentially expressed genes. Table S2 show the 1-way Analysis of Similarities (ANOSIM) for treatment and time on the resemblance data. Table S3 contains the full annotation of genes from Table 1. Table S4 contains transcripts that were differentially expressed at T15 and T30 at p &lt;0.05 at a minimum 4-fold change.<br>
DOI: 10.6084/m9.figshare.8283209.v1
title: LS3_3_1.fq.gz

description: A part of transcriptome sequencing data of safflower flowers which were cultivated in different light intensities.
DOI: 10.6084/m9.figshare.8294705.v1
title: Spearman correlation coefficient analysis

description: The file contains a correlation analysis of the skill requirements for software testers. The dataset comes from 400 job advertisements. We use the file to look for correlated skills, in our quest to find if there are preset profiles of the software testers emerging from the demands formulated by employers at hiring.
DOI: 10.6084/m9.figshare.8294705.v2
title: Spearman correlation coefficient analysis

description: The file contains a correlation analysis of the skill requirements for software testers. The dataset comes from 400 job advertisements. We use the file to look for correlated skills, in our quest to find if there are preset profiles of the software testers emerging from the demands formulated by employers at hiring.
DOI: 10.25387/g3.8201825
title: Supplemental Material for Liedtke et al., 2019

description: Supporting Data 1: BowTie2 results

 

Supporting Data 2: Unfiltered Trinity
assemblies (transcriptomes)

 

Supporting Data 3: BUSCO results

 

Supporting Data 4: <i>Xenopus tropicalis</i> proteome blast x results (BLASTn output format
6)

 

Supporting Data 5: Trinotate annotations

 

Supporting Data 6: Over and under-represented
PANTHER annotations

 

Supporting Data 7: gProfiler gene pathway
annotation and overrepresentation statistics

 

Supporting Data 8: Gene network for
gProfiler overrepresentation results
DOI: 10.25387/g3.8201825.v1
title: Supplemental Material for Liedtke et al., 2019

description: Supporting Data 1: BowTie2 results

 

Supporting Data 2: Unfiltered Trinity
assemblies (transcriptomes)

 

Supporting Data 3: BUSCO results

 

Supporting Data 4: <i>Xenopus tropicalis</i> proteome blast x results (BLASTn output format
6)

 

Supporting Data 5: Trinotate annotations

 

Supporting Data 6: Over and under-represented
PANTHER annotations

 

Supporting Data 7: gProfiler gene pathway
annotation and overrepresentation statistics

 

Supporting Data 8: Gene network for
gProfiler overrepresentation results
DOI: 10.6084/m9.figshare.3761562.v1135
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25387/g3.7910417
title: Supplemental Material for Benbow, Jermlin, and Doohan, 2019

description: Supplementary file 1 is a fasta file multiple sequence alignment (created with Clustal Omega) of wheat serpin proteins. Supplementary file 2 is a fasta file multiple sequence alignment (created with Clustal Omega) when uninformative sites masked (removed). Quality scores for the original alignment were generated with AliStat, and sites in the alignment that had a completemess score of &lt; 0.4 were removed.Supplementary file 3 is a fasta file multiple sequence alignment (created with Clustal Omega) with imcomplete sites removed (as per supplementary file 2), and sequences removed to avoid the alignment containing any pairs of sequences that contain no overlap. This is final alignment that was used for creation of the wheat serpin phylogenetic tree.<br>Supplement figures and tables file contains:Tables S1 and S2 -  tables that give details of the publicly available RNAseq data that was used to profile the expression of the wheat serpin genes.Figure S1 - A heatmap showing differential expression of wheat serpins in the grain at three time points post inoculation with <i>Fusarium graminearum</i> in two wheat cultivars.Figure S2 - A phylogenetic tree of a sub-clade of wheat serpins that contains five <i>Fusarium graminearum</i> reponsive serpin genes.
DOI: 10.25387/g3.7910417.v1
title: Supplemental Material for Benbow, Jermlin, and Doohan, 2019

description: Supplementary file 1 is a fasta file multiple sequence alignment (created with Clustal Omega) of wheat serpin proteins. Supplementary file 2 is a fasta file multiple sequence alignment (created with Clustal Omega) when uninformative sites masked (removed). Quality scores for the original alignment were generated with AliStat, and sites in the alignment that had a completemess score of &lt; 0.4 were removed.Supplementary file 3 is a fasta file multiple sequence alignment (created with Clustal Omega) with imcomplete sites removed (as per supplementary file 2), and sequences removed to avoid the alignment containing any pairs of sequences that contain no overlap. This is final alignment that was used for creation of the wheat serpin phylogenetic tree.<br>Supplement figures and tables file contains:Tables S1 and S2 -  tables that give details of the publicly available RNAseq data that was used to profile the expression of the wheat serpin genes.Figure S1 - A heatmap showing differential expression of wheat serpins in the grain at three time points post inoculation with <i>Fusarium graminearum</i> in two wheat cultivars.Figure S2 - A phylogenetic tree of a sub-clade of wheat serpins that contains five <i>Fusarium graminearum</i> reponsive serpin genes.
DOI: 10.6084/m9.figshare.3761562.v1136
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.7910/dvn/wvxd5d/c41r1d
title: tls212_part05.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/h0qobi
title: tls212_part06.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/wfxbrs
title: tls212_part07.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/nzvzul
title: tls214_part01.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/h8tzxr
title: tls214_part02.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/u0iufx
title: tls214_part03.txt

description: Data
DOI: 10.7910/dvn/wvxd5d/g3zpvb
title: tls212_part03.txt

description: Data
DOI: 10.6084/m9.figshare.8187206.v2
title: Descriptive Title:Alignment and tree files of the mitochondria genome

description: Alignment and tree files of the  Camellia genus mitochondria genome
DOI: 10.6084/m9.figshare.8187143.v2
title: Descriptive Title:The alignment and tree files of chloroplost genome

description: The alignment and tree files of supportting the  plastid genome phylogenetic analysis for the genus Camellia
DOI: 10.7910/dvn/wvxd5d/uv3ihi
title: tls212_part04.txt

description: Data
DOI: 10.6084/m9.figshare.3761562.v1137
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.7910/dvn/wvxd5d
title: PATSTAT Biblio Spring 2017, 212-03 to 214-03

description: Bibliographical patent data
DOI: 10.6084/m9.figshare.3761562.v1138
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.8313257.v1
title: Personalized Sustainability Ratings

description: The files contain information about the ratings the useR viewed while using the app. All the ratings are expected to be calculated with the user available preference scores at a time. This might not be the case in case of connectivity issues, when a preference is not save to the central database<br>viewed_cats.csvThis file contains the average product rating per category that is presented to a user.<br>viewed_prods.csvThis files contains the viewed product scores, on the product list that is shown to the user, after they tap on a category.
DOI: 10.25386/genetics.8081402
title: Supplemental Material for Schlather et al., 2019

description: File S1: Additional method section on setting a target coverage.<br><br>File S2: Additional method section on the graphical representation of haplotype blocks.<br><br>File S3: Additional method section - toy example for calculation of bEHH.<br><br>File S4: Script to simulate a diallel design in MoBPS<br><br>Table S1: Proportion of variance explained between the full SNP-dataset (X), a SNP-subset (Xs) and the block dataset (Z). For comparability the number of parameters in Xs and Z were chosen equally using traditionally heritability estimation as in de los Campos (2017).<br><br>Table S2: Influence of the window size on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S3: Influence of the weighting of block length (wl) and number of haplotypes (wn) on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S4: Influence of using the extended-block-identification on the haplotype library in dependency of the parameter t of the extended-block-identification-step for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Figure S1: Dataset for the toy example used in File S3.<br><br>Figure S2: Comparison of the block structure and a bifurcation plot (Sabeti et al., 2002, Gautier and Vitalis, 2012) according SNP 10,000 on chromosome 1 in the KE DH-lines.<br><br>Figure S3: Comparison of the block structure for MCMB=1000 (A), MCMB=5000 (B), MCMB=20,000 (C) for the first 20,000 SNPs of chromosome 1 in the KE DH-lines.<br><br><br>
DOI: 10.25386/genetics.7862525.v2
title: Supplemental Material for Pook et al., 2019

description: File S1: Additional method section on setting a target-coverage.<br>File S2: Additional method section on the graphical representation of haplotype blocks.<br><br>File S3: Additional method section - toy example for calculation of bEHH.<br>Table S1: Proportion of variance explained between the full SNP-dataset (X), a SNP-subset (X<sub>s</sub>) and the block dataset (Z). For comparability the number of parameters in X<sub>s</sub> and Z were chosen equally using traditionally heritability estimation as in de los Campos (2017).<br>Table S2: Influence of the window size on the haplotype library for chromosome 1 in the PE DH-lines.<br>Table S3: Influence of the weighting of block length (w<sub>l</sub>) and number of haplotypes (w<sub>n</sub>) on the haplotype library for chromosome 1 in the PE DH-lines.<br>Table S4: Influence of using the extended-block-identification on the haplotype library in dependency of the parameter t of the extended-block-identification-step for chromosome 1 in the PE DH-lines.<br>Figure S1: Dataset for the toy example used in File S3.<br>Figure S2: Comparison of the block structure and an bifurcation plot (Sabeti et al., 2002, Gautier and Vitalis, 2012) according SNP 10'000 on chromosome 1 in the KE DH-lines. <br>Figure S3: Comparision of the block structure for MCMB=1'000 (A), MCMB=5'000 (B), MCMB=20'000 (C) for the first 20'000 SNPs of chromosome 1 in the KE DH-lines.
DOI: 10.25386/genetics.8081402.v1
title: Supplemental Material for Schlather et al., 2019 (in review)

description: File S1: Additional method section on setting a target coverage.<br><br>File S2: Additional method section on the graphical representation of haplotype blocks.<br><br>File S3: Additional method section - toy example for calculation of bEHH.<br><br>File S4: Script to simulate a diallel design in MoBPS<br><br>Table S1: Proportion of variance explained between the full SNP-dataset (X), a SNP-subset (Xs) and the block dataset (Z). For comparability the number of parameters in Xs and Z were chosen equally using traditionally heritability estimation as in de los Campos (2017).<br><br>Table S2: Influence of the window size on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S3: Influence of the weighting of block length (wl) and number of haplotypes (wn) on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S4: Influence of using the extended-block-identification on the haplotype library in dependency of the parameter t of the extended-block-identification-step for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Figure S1: Dataset for the toy example used in File S3.<br><br>Figure S2: Comparison of the block structure and a bifurcation plot (Sabeti et al., 2002, Gautier and Vitalis, 2012) according SNP 10,000 on chromosome 1 in the KE DH-lines.<br><br>Figure S3: Comparison of the block structure for MCMB=1000 (A), MCMB=5000 (B), MCMB=20,000 (C) for the first 20,000 SNPs of chromosome 1 in the KE DH-lines.<br><br><br>
DOI: 10.25387/g3.8250953
title: Supplemental Material for Simopoulos, Weretilnyk, and Golding, 2019

description: Table S1: Transcript classes of predicted lncRNAs as identi ed by g compare.<br>File S2: Quality of transcriptome assemblies <br><br>File S3: The FASTA file containing sequences of the genes used in the estimation of branch lengths<br>Figure S4: Phylogenetic tree visualizing the calculated branch lengths used in phylogenetic signal detection.<br>
DOI: 10.25387/g3.8250953.v1
title: Supplemental Material for Simopoulos, Weretilnyk, and Golding, 2019

description: Table S1: Transcript classes of predicted lncRNAs as identi ed by g compare.<br>File S2: Quality of transcriptome assemblies <br><br>File S3: The FASTA file containing sequences of the genes used in the estimation of branch lengths<br>Figure S4: Phylogenetic tree visualizing the calculated branch lengths used in phylogenetic signal detection.<br>
DOI: 10.6084/m9.figshare.3761562.v1139
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25386/genetics.8081402.v2
title: Supplemental Material for Schlather et al., 2019

description: File S1: Additional method section on setting a target coverage.<br><br>File S2: Additional method section on the graphical representation of haplotype blocks.<br><br>File S3: Additional method section - toy example for calculation of bEHH.<br><br>File S4: Script to simulate a diallel design in MoBPS<br><br>Table S1: Proportion of variance explained between the full SNP-dataset (X), a SNP-subset (Xs) and the block dataset (Z). For comparability the number of parameters in Xs and Z were chosen equally using traditionally heritability estimation as in de los Campos (2017).<br><br>Table S2: Influence of the window size on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S3: Influence of the weighting of block length (wl) and number of haplotypes (wn) on the haplotype library for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Table S4: Influence of using the extended-block-identification on the haplotype library in dependency of the parameter t of the extended-block-identification-step for chromosome 1 in the KE DH-lines with a target coverage of 95%.<br><br>Figure S1: Dataset for the toy example used in File S3.<br><br>Figure S2: Comparison of the block structure and a bifurcation plot (Sabeti et al., 2002, Gautier and Vitalis, 2012) according SNP 10,000 on chromosome 1 in the KE DH-lines.<br><br>Figure S3: Comparison of the block structure for MCMB=1000 (A), MCMB=5000 (B), MCMB=20,000 (C) for the first 20,000 SNPs of chromosome 1 in the KE DH-lines.<br><br><br>
DOI: 10.25387/g3.8034695
title: Supplemental Material for Jafar et al., 2019

description: Figure S1 comparison of PACs and PacBio sites. File S1 details of each sample as provided by the SRA database. File S2 brief description of SRA datasets. File S3 information about 95,345 PACs. File S4 validated intergneic PACs. File S5 PACs and genes that use AAUAAA NUE motif. Table S1 summary of mapped reads. Table S2 PACs identified in down sampled data. Table S3 genomic distribution of PacBio sites. Table S4 Go terms in all, strong, and medium APA genes. Table S5 frequent and significant NUE motifs.
DOI: 10.25387/g3.8034695.v1
title: Supplemental Material for Jafar et al., 2019

description: Figure S1 comparison of PACs and PacBio sites. File S1 details of each sample as provided by the SRA database. File S2 brief description of SRA datasets. File S3 information about 95,345 PACs. File S4 validated intergneic PACs. File S5 PACs and genes that use AAUAAA NUE motif. Table S1 summary of mapped reads. Table S2 PACs identified in down sampled data. Table S3 genomic distribution of PacBio sites. Table S4 Go terms in all, strong, and medium APA genes. Table S5 frequent and significant NUE motifs.
DOI: 10.6084/m9.figshare.8203415.v3
title: Bat Recording Manager v8.n

description: This program provides a management system for your library of bat (or other) recordings. It can be flexible in its approach but is primarily designed to work with libraries stored and analysed according to a particular protocol which is described below.<br>The program has four main ‘views’. The default view lists all recording sessions, with details of the currently selected session. Sessions can be added or edited manually or deleted from the database. Similarly individual recordings within the session can be added, edited or deleted.<br>The program assumes that the recordings are of bat calls, and incorporates a reference list of bat species, which can also be modified by the user. This reference list also defines a set of ‘tags’ which can be used when analysing recordings to indicate the presence of each species.<br>Recordings may also be displayed ‘by bat species’. In this case the defined species are listed and the recording sessions and recordings which detected the selected species are shown.<br>An ‘Import’ page allows recording sessions which have been analysed using Audacity to be imported into the database. A single folder containing a set of recordings may be imported or a selection of folders can be imported sequentially.Analyse and Import mode allows interaction with Audacity or Kaleidoscope Light for rapid sequential analysis of recording files.The program also provides report generation in a number of formats, storage of screen capture images during analysis, and the ability to replay portions of recordings at reduced speed or in heterodyne (tuned bat detector) mode.This setup file incorporates .NET 4.7.2 and Audacity 2.3.2 which will be installed automatically if required.  The Audacity installation will not affect any pre-existing installations.  Kaleidoscope interaction requires that Kaleidoscope is installed to C:<br>v8.0 builds on version 7.3 (see other figshare project) but updates to .NET 4.72 and provides virtualized data access for faster loading in some situations.<br>v8.0.7111 completes the conversion to Visual Studio 2019 and .NET 4.72 with extensive refactoring and code tidying using Resharper.  Source code is now available from GitHub.https://github.com/jathalls/BatRecordingManager_v8.n<br>v8.0.7115 Bugfixes for issues with identifying and extracting data from .txt files during import or analyse and import.<br>
DOI: 10.25405/data.ncl.8323601
title: Exsolved Ni nanoparticles acting as oxygen storage reservoirs and active sites for redox CH4 conversion

description: The growing demand for H<sub>2</sub> and syngas requires the development of new, more efficient processes and materials for their production, especially from CH<sub>4</sub> that is a widely available resource. One process that has recently received increased attention is chemical looping CH<sub>4</sub> partial oxidation, which however, poses stringent requirements on material design, including fast oxygen exchange and high storage capacity, high reactivity towards CH<sub>4</sub> activation and resistance to carbon deposition, often only met by composite materials. Here we design a catalytically active material for this process, based on exsolution from a porous titanate. The exsolved Ni particles act as both oxygen storage centres and as active sites for CH<sub>4</sub> conversion under redox conditions. We control the extent of exsolution, particle size and population of Ni particles in order to tune the oxygen capacity, reactivity and stability of the system and, at the same time, obtain insights in parameters affecting and controlling exsolution.
DOI: 10.25405/data.ncl.8323604
title: Towards efficient use of noble metals via exsolution exemplified for CO oxidation

description: Many catalysts and in particular automotive exhaust catalysts usually consist of noble metal nanoparticles dispersed on metal oxide supports. While highly active, such catalysts are expensive and prone to deactivation by sintering and thus alternative methods for their production are being sought to ensure more efficient use of noble metals. Exsolution has been shown to be an approach to produce confined nanoparticles, which in turn are more stable against agglomeration, and, at the same time strained, displaying enhanced activity. While exsolution has been extensively investigated for relatively high metal loadings, it has yet to be explored for dilute loadings which is expected to be more challenging but more suitable for application of noble metals. Here we explore the substitution of Rh into an A-site deficient perovskite titante aiming to investigate the possibility of exsolving from dilute amounts of noble metal substituted perovskites. We show that this is possible and in spite of certain limitations, they still compete well against conventionally prepared samples with higher apparent surface loading when applied for CO oxidation. <br>