cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8198816.v1
title: Data(180818)_arthritis.sav

description: The sample consists of 226 Korean adults, who are aged 65 years or older, with self-reported arthritis (n=103) and without arthritis (n=123). The variables are general characteristics, social networks (Lubben social network scale), health-promoting lifestyle profile(Waler et al., 1995), and health-related quality of life (EQ-5D-5L).
DOI: 10.6084/m9.figshare.8201474.v1
title: Supplemental Tables

description: Supplemental Tables for Tokyo Skytree airborne bacterial study (Uetake et al. 2019).<br>
DOI: 10.6084/m9.figshare.8198801.v2
title: 3D visualisation of the forest biomass and fuel wood harvest under the influence of discount rate, marginal rate of substitution and cultural & social values.xlsx

description: The data provides simulation of Southeast Asian Tropical forest growth (Kallio et al., 1987) under the influence of varied discount rate (delta), marginal rate of substitution of fuelwood by its substitute (alpha/beta) and Cultural & Spiritual Value (CSV) (phi). <br>Kallio, M., Dykstra, D. & Binkley, C. Z. E. The global forest
sector: an analytical perspective. <i>Glob. For. Sect. Anal. Perspect.</i>
(1987).<br>
DOI: 10.5281/zenodo.3945088
title: Finnish Court Records-sub500. A dataset of Finnish notarial records (19th Century)

description: This dataset is a selection of 500 pages from the Renovated District Court Records (19th century), one of the largest collections in the National Archives of Finland. The documents consists of records of deeds, mortgages, traditional life-annuity, among others.<br> This dataset contains images with one or two document pages, and it is annotated at image level using six different<br> region types along with the baselines and line level transcription (Swedish). This blend of single page and double page images is a common complexity found in historical documents. Layout labels are:<br> 1. page-number: the page number, commonly placed on the top-right corner of the image, <br> 2. paragraph: a paragraph placed on a single page image or on the left side of a double page image.<br> 3. paragraph_2: a paragraph placed on the right side of a double page image.<br> 4. marginalia: any annotation on the margin of the document,<br> 5. table: a table placed on a single page image or on the left side of a double page image.<br> 6. table_2: a table placed on the right side of a double page image. The images along with their respective ground-truth was compiled in PAGE compliant XML format by the National Archives of Finland and the HTR group of the Pattern Recognition and Human Language Technologies Research Center.
DOI: 10.5281/zenodo.3945087
title: Finnish Court Records-sub500. A dataset of Finnish notarial records (19th Century)

description: This dataset is a selection of 500 pages from the Renovated District Court Records (19th century), one of the largest collections in the National Archives of Finland. The documents consists of records of deeds, mortgages, traditional life-annuity, among others.<br> This dataset contains images with one or two document pages, and it is annotated at image level using six different<br> region types along with the baselines and line level transcription (Swedish). This blend of single page and double page images is a common complexity found in historical documents. Layout labels are:<br> 1. page-number: the page number, commonly placed on the top-right corner of the image, <br> 2. paragraph: a paragraph placed on a single page image or on the left side of a double page image.<br> 3. paragraph_2: a paragraph placed on the right side of a double page image.<br> 4. marginalia: any annotation on the margin of the document,<br> 5. table: a table placed on a single page image or on the left side of a double page image.<br> 6. table_2: a table placed on the right side of a double page image. The images along with their respective ground-truth was compiled in PAGE compliant XML format by the National Archives of Finland and the HTR group of the Pattern Recognition and Human Language Technologies Research Center.
DOI: 10.6084/m9.figshare.8204126.v1
title: Virulence targeted inhibitory effect of linalool against the exclusive uropathogen <i>Proteus mirabilis</i>

description: <i>Proteus mirabilis</i> is one of the leading causes of catheter-associated UTIs (CAUTI) in individuals with prolonged urinary catheterization. Since, biofilm assisted antibiotic resistance is reported to complicate the treatment strategies of <i>P. mirabilis</i> infections, the present study was aimed to attenuate biofilm and virulence factor production in <i>P. mirabilis.</i> Linalool is a naturally occurring monoterpene alcohol found in a wide range of flowers and spice plants and has many biological applications. In this study, linalool exhibited concentration dependent anti-biofilm activity against crystalline biofilm of <i>P. mirabilis</i> through reduced production of the virulence enzyme urease that raises the urinary pH and drives the formation of crystals (struvite) in the biofilm. The results of q-PCR analysis unveiled the down regulation of biofilm/virulence associated genes upon linalool treatment, which was in correspondence with the <i>in vitro</i> bioassays. Thus, this study reports the feasibility of linalool acting as a promising anti-biofilm agent against <i>P. mirabilis</i> mediated CAUTI.
DOI: 10.25386/genetics.7083239
title: Supplemental Material for Borges, Szöllősi, and Kosiol, 2019

description: Supplemental Material <br>
DOI: 10.25386/genetics.7083239.v1
title: Supplemental Material for Borges, Szöllősi, and Kosiol, 2019

description: Supplemental Material <br>
DOI: 10.6084/m9.figshare.3761562.v1113
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.8187047.v2
title: Banerjee_Survey Dataset.zip

description: There were two separate surveys link for discrete collection of data from UK and non-UK registered healthcare professionals using Snap Surveys database (WebHost). Data were downloaded in .csv file format and imported in Microsoft Excel software for analysis, and then pooled together to calculate descriptive statistics.
DOI: 10.25386/genetics.7862525
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.7862525.v1
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: 10.25387/g3.8061485.v1
title: Supplemental Material for Jin et al., 2019

description: Figure S1 shows distribution of GRAF-pop scores of subjects with different study-reported, continental populations across all dbGaP studies. Figure S2 shows distribution of GRAF-pop scores of subjects included in 1000 Genomes Project.  Table S1 summarizes study-reported populations and the GRAF-calculated populations of dbGaP subjects. Table S2 describes dbGaP studies selected to evaluate GRAF-pop and other ancestry-inference software packages.<br>
DOI: 10.25386/genetics.8210171
title: Supplemental Material for Fallahshahroudi et al., 2019

description: File S1_Supplementary, contains the details of quantifying beak, leg and egg yellowness. File S1 also contains Figure S1 , S2 and S3, as well as supplementary table S1 and S2. Supplementary_dataset contains gene expression levels, skin and egg yolk coloration, as well as HPLC results for carotenoid measurement. In this dataset "m" represent male and f stands for female. For genotype AA represent the derived and GG represent the ancestral BCO2 allele.
DOI: 10.25386/genetics.8210171.v1
title: Supplemental Material for Fallahshahroudi et al., 2019

description: File S1_Supplementary, contains the details of quantifying beak, leg and egg yellowness. File S1 also contains Figure S1 , S2 and S3, as well as supplementary table S1 and S2. Supplementary_dataset contains gene expression levels, skin and egg yolk coloration, as well as HPLC results for carotenoid measurement. In this dataset "m" represent male and f stands for female. For genotype AA represent the derived and GG represent the ancestral BCO2 allele.
DOI: 10.25387/g3.8061485
title: Supplemental Material for Jin et al., 2019

description: Figure S1 shows distribution of GRAF-pop scores of subjects with different study-reported, continental populations across all dbGaP studies. Figure S2 shows distribution of GRAF-pop scores of subjects included in 1000 Genomes Project.  Table S1 summarizes study-reported populations and the GRAF-calculated populations of dbGaP subjects. Table S2 describes dbGaP studies selected to evaluate GRAF-pop and other ancestry-inference software packages.<br>
DOI: 10.25387/g3.8209889
title: Supplementary Material for Lantican et al., 2019

description: <b>Figure S1 shows the basic statistics and per base sequence analysis result of the pre-processed Illumina Miseq short read sequences.  Figure S2 depicts the genome size estimation of the CATD coconut variety based on the generated homozygous k-mer peak. Figure S3 shows the BUSCO analysis of the constructed genome assembly based on 1440 plant-specific genes in the OrthoDB database. Figure S4 shows the distribution and characterization of the repeat elements characterized in the coconut ‘CATD’ genome draft assembly.  Figure S5 presents the molecular phylogenetic relationships of the core LTR-RT in the coconut ‘Catigan Green Dwarf’ (CATD). Figure S6 shows the predicted gene ontology (GO) distribution of the genes in coconut genome. Figure S7 predicts the genome-wide identification and characterization of resistance gene analogs (RGA) in the coconut genome. Figure S8 shows the distribution of the drought-response gene homologs classified based on characterized biological function in coconut. Figure S9 presents the proportion of SSR motif found in the current assembly of the ‘CATD’ genome. Figure S10 depicts the genome-wide occurrence of top paired-motif in coconut (‘CATD’) SSRs. Table S1 compares the assembly and quality statistics of ‘CATD’ coconut genome vs. HAT coconut   genome, and other closely related sequenced genomes. Table S2 compares the quality of genome annotation of the assembled ‘CATD’ coconut genome with the annotated HAT genome, and other closely related sequenced genome. Table S3 list of genome-wide transcription factors and other transcriptional regulators identified in the predicted genome models of ‘CATD’ genome. Table S4 presents the BLASTn output of the alignment of oil biosynthesis cDNA sequences in the coconut ‘CATD’ genome. Table S5 lists the developed SSR markers physically linked to economically important traits in coconut. Data S1 lists the LTR-RT found in regions of the dwarf coconut genome with estimated insertion dates. Data S2 shows the dag-chainer output file of ‘CATD’-date palm alignment. Data S3 contains the FASTA sequences of the core LRT-RT in coconut genome. Data S4 contains the BLASTp alignment result of the coconut predicted gene models to DroughtDB proteins. Data S5 lists the genome-wide SSR markers designed in coconut. </b><br>
DOI: 10.25387/g3.8209889.v1
title: Supplementary Material for Lantican et al., 2019

description: <b>Figure S1 shows the basic statistics and per base sequence analysis result of the pre-processed Illumina Miseq short read sequences.  Figure S2 depicts the genome size estimation of the CATD coconut variety based on the generated homozygous k-mer peak. Figure S3 shows the BUSCO analysis of the constructed genome assembly based on 1440 plant-specific genes in the OrthoDB database. Figure S4 shows the distribution and characterization of the repeat elements characterized in the coconut ‘CATD’ genome draft assembly.  Figure S5 presents the molecular phylogenetic relationships of the core LTR-RT in the coconut ‘Catigan Green Dwarf’ (CATD). Figure S6 shows the predicted gene ontology (GO) distribution of the genes in coconut genome. Figure S7 predicts the genome-wide identification and characterization of resistance gene analogs (RGA) in the coconut genome. Figure S8 shows the distribution of the drought-response gene homologs classified based on characterized biological function in coconut. Figure S9 presents the proportion of SSR motif found in the current assembly of the ‘CATD’ genome. Figure S10 depicts the genome-wide occurrence of top paired-motif in coconut (‘CATD’) SSRs. Table S1 compares the assembly and quality statistics of ‘CATD’ coconut genome vs. HAT coconut   genome, and other closely related sequenced genomes. Table S2 compares the quality of genome annotation of the assembled ‘CATD’ coconut genome with the annotated HAT genome, and other closely related sequenced genome. Table S3 list of genome-wide transcription factors and other transcriptional regulators identified in the predicted genome models of ‘CATD’ genome. Table S4 presents the BLASTn output of the alignment of oil biosynthesis cDNA sequences in the coconut ‘CATD’ genome. Table S5 lists the developed SSR markers physically linked to economically important traits in coconut. Data S1 lists the LTR-RT found in regions of the dwarf coconut genome with estimated insertion dates. Data S2 shows the dag-chainer output file of ‘CATD’-date palm alignment. Data S3 contains the FASTA sequences of the core LRT-RT in coconut genome. Data S4 contains the BLASTp alignment result of the coconut predicted gene models to DroughtDB proteins. Data S5 lists the genome-wide SSR markers designed in coconut. </b><br>
DOI: 10.6084/m9.figshare.8215070.v1
title: Additional file 1: of Effectiveness of whey protein supplements on the serum levels of amino acid, creatinine kinase and myoglobin of athletes: a systematic review and meta-analysis

description: Risk of Bias. (XLSX 21 kb)
DOI: 10.6084/m9.figshare.8188718.v1
title: F-hCINAP IR treatment IP-MS proteins

description: F-hCINAP IR treatment IP-MS proteins
DOI: 10.6084/m9.figshare.8187470
title: hCINAP KO RNA-seq KEGG pathway

description: hCINAP KO RNA-seq KEGG pathway
DOI: 10.6084/m9.figshare.8188709.v1
title: F-hCINAP IP-MS proteins

description: F-hCINAP IP-MS proteins
DOI: 10.6084/m9.figshare.8188718
title: F-hCINAP IR treatment IP-MS proteins

description: F-hCINAP IR treatment IP-MS proteins
DOI: 10.6084/m9.figshare.8188757
title: F-NPM1 IP-MS proteins

description: F-NPM1 IP-MS proteins
DOI: 10.6084/m9.figshare.8188757.v1
title: F-NPM1 IP-MS proteins

description: F-NPM1 IP-MS proteins
DOI: 10.6084/m9.figshare.8188760
title: F-NPM1 IR treatment IP-MS proteins

description: F-NPM1 IR treatment IP-MS proteins
DOI: 10.6084/m9.figshare.8187470.v1
title: hCINAP KO RNA-seq KEGG pathway

description: hCINAP KO RNA-seq KEGG pathway
DOI: 10.6084/m9.figshare.8188709
title: F-hCINAP IP-MS proteins

description: F-hCINAP IP-MS proteins
DOI: 10.6084/m9.figshare.3761562.v1116
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.3761562.v1117
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.8174576.v1
title: Research Performance of Shell Scientific Publications During 2017-2019 Years. Bibliometric Analysis and Mapping

description: **Objectives:**Mapping of bibliometric data of Shell petroleum company scientific publications during 2017-2019 years. Topic Mining and clustering. Bibliometric and citation **databases** of scientific literature: OnePetro, Scopus, Web of Science<br>**Used tools:**<br>VOSviewer - a software tool for constructing and visualizing bibliometric networks - http://www.vosviewer.com/Bibliometrix -  An R-tool for comprehensive science mapping analysis - Typora - a markdown editor - https://typora.io/Notepad++ - a free source code editor - https://notepad-plus-plus.org/SmoothCSV - a powerful CSV file editor - https://smoothcsv.com/2/Queries to OnePetro:search for affiliation:"shell" has returned 7 446 resultssearch for affiliation:("Shell"), published between 2014 and 2019 has returned 1 633 results - allsearch for affiliation:("Shell"), published between 2014 and 2019 has returned 1 404 results - **conference papers**search for affiliation:("Shell"), published between 2014 and 2019 has returned 121 results - **articles**search for affiliation:("Shell") in **peer reviewed** articles, published between 2014 and 2019 has returned 105 resultsMain queries to Scopus:<br>- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( model ) )  AND  PUBYEAR  &gt;  2016 	613 docs- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( project* ) )  AND  PUBYEAR  &gt;  2016 214 docs- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( recovery ) )  AND  PUBYEAR  &gt;  2016 171 docsTests using thesaurus_terms.txt file in VOSviewer<br>Some starting experiments with Bibliometrix.<br>Using relative links in Shell.html for better viewing when bundle download
DOI: 10.6084/m9.figshare.8174879.v2
title: Analysis of pig transcriptomes suggests a global regulation mechanism enabling temporary bursts of circular RNAs

description: To investigate the dynamics of circRNA expression in pig testes, we designed specific strategies to individually study circRNA production from intron lariats and circRNAs originating from back-splicing of two exons. By applying these methods on seven Total-RNA-seq datasets sampled during the testicular puberty, we detected 126 introns in 114 genes able to produce circRNAs and 5,236 exonic circRNAs produced by 2,516 genes. Comparing our RNA-seq datasets to datasets from the literature (embryonic cortex and postnatal muscle stages) revealed highly abundant intronic and exonic circRNAs in one sample each in pubertal testis and embryonic cortex, respectively. This abundance was due to higher production of circRNA by the same genes in comparison to other testis samples, rather than to the recruitment of new genes. No global relationship between circRNA and mRNA production was found. We propose ExoCirc-9244 (<i>SMARCA5</i>) as a marker of a particular stage in testis, which is characterized by a very low plasma estradiol level and a high abundance of circRNA in testis. We hypothesize that the abundance of testicular circRNA is associated with an abrupt switch of the cellular process to overcome a particular challenge that may have arisen in the early stages of steroid production. We also hypothesize that, in certain circumstances, isoforms and circular transcripts from different genes share functions and that a global regulation of circRNA production is established. Our data indicate that this massive production of circRNAs is much more related to the structure of the genes generating circRNAs than to their function. <b>Abbreviations:</b> PE: Paired Ends; CR: chimeric Read; SR: Split Read; circRNA: circular RNA; NC: non conventional; ExoCirc-RNA: exonic circular RNA; IntroLCirc-: name of a porcine intronic lariat circRNA; ExoCirc-: name of a porcine exonic circRNA; IntronCircle-: name of a porcine intron circle; sisRNA: stable intronic sequence RNA; P: porcine breed Pietrain; LW: porcine breed Large White; RT: reverse transcription/reverse transcriptase; Total-RNA-seq: RNA-seq obtained from total RNA after ribosomal depletion; mRNA-seq: RNA-seq of poly(A) transcripts; TPM: transcripts per million; CR-PM: chimeric reads per million; RBP: RNA binding protein; miRNA: micro RNA; E2: estradiol; DHT: dihydrotestesterone
DOI: 10.6084/m9.figshare.8174576
title: Research Performance of Shell Scientific Publications During 2017-2019 Years. Bibliometric Analysis and Mapping

description: **Objectives:**Mapping of bibliometric data of Shell petroleum company scientific publications during 2017-2019 years. Topic Mining and clustering. Bibliometric and citation **databases** of scientific literature: OnePetro, Scopus, Web of Science<br>**Used tools:**<br>VOSviewer - a software tool for constructing and visualizing bibliometric networks - http://www.vosviewer.com/Bibliometrix -  An R-tool for comprehensive science mapping analysis - Typora - a markdown editor - https://typora.io/Notepad++ - a free source code editor - https://notepad-plus-plus.org/SmoothCSV - a powerful CSV file editor - https://smoothcsv.com/2/Queries to OnePetro:search for affiliation:"shell" has returned 7 446 resultssearch for affiliation:("Shell"), published between 2014 and 2019 has returned 1 633 results - allsearch for affiliation:("Shell"), published between 2014 and 2019 has returned 1 404 results - **conference papers**search for affiliation:("Shell"), published between 2014 and 2019 has returned 121 results - **articles**search for affiliation:("Shell") in **peer reviewed** articles, published between 2014 and 2019 has returned 105 resultsMain queries to Scopus:<br>- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( model ) )  AND  PUBYEAR  &gt;  2016 	613 docs- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( project* ) )  AND  PUBYEAR  &gt;  2016 214 docs- ( AFFILORG ( shell )  AND  TITLE-ABS-KEY ( recovery ) )  AND  PUBYEAR  &gt;  2016 171 docsTests using thesaurus_terms.txt file in VOSviewer<br>Some starting experiments with Bibliometrix.<br>Using relative links in Shell.html for better viewing when bundle download