cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12874470.v17
title: Additional file of Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance

description: Additional file of Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance
DOI: 10.6084/m9.figshare.12874470.v18
title: Additional file of Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance

description: Additional file of Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance
DOI: 10.6084/m9.figshare.7982393
title: x-ray diffraction results

description: Five x-ray diffraction results of tight sandstone from Songliao Basin
DOI: 10.6084/m9.figshare.12874449
title: Additional file 3 of Short read Illumina data for the de novo assembly of a non-model snail species transcriptome (Radix balthica, Basommatophora, Pulmonata), and a comparison of assembler performance

description: Additional file 3:Microsatellite repeat motifs obtained from NGEN contigs. List with NGEN contigs containing di-, tri-, tetra-, penta-repeat motives with a minimum repeat length of six, contig ID, repeat type, size, position and contig sequence. (XLS 528 KB)
DOI: 10.6084/m9.figshare.7982333
title: Small molecular GAFF force field files

description: The topology files for Progesterone and Asoprisnil in Gromacs format based on Amber GAFF force field.<br>STR.itp: ProgesteroneAS0.itp: Asoprisnil
DOI: 10.6084/m9.figshare.7982333.v1
title: Small molecular GAFF force field files

description: The topology files for Progesterone and Asoprisnil in Gromacs format based on Amber GAFF force field.<br>STR.itp: ProgesteroneAS0.itp: Asoprisnil
DOI: 10.6084/m9.figshare.12874509.v4
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874482
title: Additional file 1 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 1:A. baumannii genomes and isolation sources. A description of published genomes used for comparative genomics in the present study (XLS 24 KB)
DOI: 10.6084/m9.figshare.12874482.v1
title: Additional file 1 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 1:A. baumannii genomes and isolation sources. A description of published genomes used for comparative genomics in the present study (XLS 24 KB)
DOI: 10.6084/m9.figshare.12874491.v1
title: Additional file 4 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 4:BLAST score ratio analysis. A table of unique, divergent, and unique gene numbers as identified by blast score ratio (BSR) analysis (XLS 18 KB)
DOI: 10.6084/m9.figshare.12874485.v1
title: Additional file 2 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 2:Genome Assembly Statistics. Assembly statistics for the 3 genomes sequenced in this study (XLSX 42 KB)
DOI: 10.6084/m9.figshare.12874494
title: Additional file 5 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 5:UMB001 unique genes. A table of unique genes identified in UMB001, based on a BSR value of less than 0.4 (XLS 29 KB)
DOI: 10.6084/m9.figshare.12874497
title: Additional file 6 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 6:UMB002 unique genes. A table of unique genes identified in UMB002, based on a BSR value of less than 0.4 (XLS 40 KB)
DOI: 10.6084/m9.figshare.12874497.v1
title: Additional file 6 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 6:UMB002 unique genes. A table of unique genes identified in UMB002, based on a BSR value of less than 0.4 (XLS 40 KB)
DOI: 10.6084/m9.figshare.12874491
title: Additional file 4 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 4:BLAST score ratio analysis. A table of unique, divergent, and unique gene numbers as identified by blast score ratio (BSR) analysis (XLS 18 KB)
DOI: 10.6084/m9.figshare.12874500.v1
title: Additional file 7 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 7:UMB003 unique genes. A table of unique genes identified in UMB003, based on a BSR value of less than 0.4 (XLS 56 KB)
DOI: 10.6084/m9.figshare.12874509.v8
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874509.v9
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874500
title: Additional file 7 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 7:UMB003 unique genes. A table of unique genes identified in UMB003, based on a BSR value of less than 0.4 (XLS 56 KB)
DOI: 10.6084/m9.figshare.12874509.v7
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874494.v1
title: Additional file 5 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 5:UMB001 unique genes. A table of unique genes identified in UMB001, based on a BSR value of less than 0.4 (XLS 29 KB)
DOI: 10.6084/m9.figshare.12874509.v5
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874509.v10
title: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity
DOI: 10.6084/m9.figshare.12874485
title: Additional file 2 of Genomic comparison of multi-drug resistant invasive and colonizing Acinetobacter baumannii isolated from diverse human body sites reveals genomic plasticity

description: Additional file 2:Genome Assembly Statistics. Assembly statistics for the 3 genomes sequenced in this study (XLSX 42 KB)
DOI: 10.6084/m9.figshare.7982183
title: Supplementary Material for: Turkish Ectodermal Dysplasia Cohort: From Phenotype to Genotype in 17 Families

description: Hypohidrotic or anhidrotic ectodermal dysplasia (HED/EDA) is characterized by impaired development of the hair, teeth, or sweat glands. HED/EDA is inherited in an X-linked, autosomal dominant, or autosomal recessive pattern and caused by the pathogenic variants in 4 genes: <i>EDA</i>, <i>EDAR</i>, <i>EDARADD</i>, and <i>WNT10A</i>. The aim of the present study was to perform molecular screening of these 4 genes in a cohort of Turkish individuals diagnosed with HED/EDA. We screened for pathogenic variants of <i>WNT10A</i>, <i>EDA</i>, <i>EDAR</i>, and <i>EDARADD</i> through Sanger sequencing. We further assessed the clinical profiles of the affected individuals in order to establish phenotype-genotype correlation. In 17 (63%) out of 27 families, 17 pathogenic variants, 8 being novel, were detected in the 4 well-known ectodermal dysplasia genes. <i>EDAR</i> and <i>EDA</i> variants were identified in 6 families each, <i>WNT10A</i> variants in 4, and an <i>EDARADD</i> variant in 1, accounting for 35.3, 35.3, 23.5, and 5.9% of mutation-positive families, respectively. The low mutation detection rate of the cohort and the number of the <i>EDAR</i> pathogenic variants being as high as the <i>EDA</i> ones were the most noteworthy findings which could be attributed to the high consanguinity rate.
DOI: 10.6084/m9.figshare.12874560
title: Additional file 1 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 1:ngs_backbone 1.1.0 software. ngs_backbone 1.1.0. Last version, released on 31-08-2010. (GZ 19 MB)
DOI: 10.6084/m9.figshare.12874560.v1
title: Additional file 1 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 1:ngs_backbone 1.1.0 software. ngs_backbone 1.1.0. Last version, released on 31-08-2010. (GZ 19 MB)
DOI: 10.6084/m9.figshare.12874566.v1
title: Additional file 3 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 3:VCF data file containing all SNVs identified. Data file containing all SNVs identified. The SNVs have not been selected with any additional filter, but the file includes the data for all ngs_backbone filters used in this work. (VCF 17 MB)
DOI: 10.6084/m9.figshare.12874569
title: Additional file 4 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 4:Accessions employed in the SNV validation. Landraces were provided by the COMAV genebank, comercial cultivars were obtained from Semilleros Cucala Agricola (Beniganim, Spain). (CSV 1000 bytes)
DOI: 10.6084/m9.figshare.12874569.v1
title: Additional file 4 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 4:Accessions employed in the SNV validation. Landraces were provided by the COMAV genebank, comercial cultivars were obtained from Semilleros Cucala Agricola (Beniganim, Spain). (CSV 1000 bytes)
DOI: 10.6084/m9.figshare.12874572
title: Additional file 5 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 5:Primer sequences. File with primer sequences used in this work. (CSV 5 KB)
DOI: 10.6084/m9.figshare.12874572.v1
title: Additional file 5 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 5:Primer sequences. File with primer sequences used in this work. (CSV 5 KB)
DOI: 10.6084/m9.figshare.12874578.v1
title: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence
DOI: 10.6084/m9.figshare.12874566
title: Additional file 3 of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file 3:VCF data file containing all SNVs identified. Data file containing all SNVs identified. The SNVs have not been selected with any additional filter, but the file includes the data for all ngs_backbone filters used in this work. (VCF 17 MB)
DOI: 10.6084/m9.figshare.12874578.v3
title: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence
DOI: 10.6084/m9.figshare.12874578.v4
title: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence
DOI: 10.6084/m9.figshare.12874578.v5
title: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence

description: Additional file of ngs_backbone: a pipeline for read cleaning, mapping and SNP calling using Next Generation Sequence
DOI: 10.6084/m9.figshare.7982066
title: Dataset Frail cohort

description: Frailty prevalence study data cohort
DOI: 10.6084/m9.figshare.7982066.v1
title: Dataset Frail cohort

description: Frailty prevalence study data cohort
DOI: 10.17028/rd.lboro.7982006
title: Dataset _ The influence of social context on the perception of assistive technology: Using a semantic differential scale to compare young adults’ views from the UK and Pakistan

description: This dataset contains raw data and their corresponding results files associated with a recent study. Each MS Excel spreadsheet entails the data for one aspect of study which is specified by name of the file.The information about participants i.e. personal and demographic, responses for first SD scale, second SD scale and personal evaluation are presented in each spreadsheet. The supplemental material (participant information sheet, informed consent form, online questionnaire, risk assessment form) are also enclosed with this dataset. Lastly, for the analysis of raw data, statistical test such as; independent sample t-test was performed. The original SPSS data files are also included.
DOI: 10.6084/m9.figshare.7982003
title: Cyberslacking and Internet Abuse Intention Data Set

description: Data was collected from 106 respondents from two different universities in Bangladesh. The items measured low self-esteem, private demand, cyberslacking behavior and abusive intention. To measure the relationship with the variables, we adapted the items from established literature. Items for low self-esteem was adopted from the research of Chen et al. (2008), items for private demand was adopted from the work of Koay et al. (2017), rules and regulations were adopted from the research of Vahdati and Yasini, (2015). Cyberslacking was identified from (Vitak et al., 2011) and measured it using binary variables where “0” means respondents did not do the questioned tasks at work and on the other hand “1” means respondents did the questioned tasks while they at work. The questioned nine items are “sending emails”, IM (Instant messages)”, “Texts”, “Visiting a SNS (Social Networking Sites)”, “Watching video”, ”Writing blogs”, “Reading blogs”, ”Playing video games” and “Shopping”. We included a scenario based questionnaire to investigate the internet abuse intention. The scenario was “You work for an IT farm; and for last five years, you managed several projects. You are always dedicated to your work but unfortunately you are not appreciated with all of your successful aspects. Your salary increment is totally off for last two years. On the other hand, your rival is always credited without doing successful perspectives as well as his/her salary increment is going on day by day. All on a sudden, your rival is promoted for higher designation but you are not. These situations are humiliating for you. You also hear a rumor that the farm may be fired you soon. If you want, then you may take revenge against the company because of your high liberty. From your past experience, you know that you can access several confidential files/documents easily. The security control situation at the company is poor. You know all of the confidential information of your company and also know how to destroy all of those information without leaving any evidence”. Abuse intention was measured using the scale from (Kim et al., 2016) consisting of three items with response options varying from strongly disagree to strongly agree in the seven point Likert scale format. The included items are “I intended to abuse the systems”, “I predict I will abuse the systems” and “I plan to abuse the systems”. We used SPSS v.21 to calculate the frequency of demographic questionnaire. SmartPLS 3.0 was used to test the hypotheses (relationship between the variables) by following the research of Mahmud et al. (2017) and Toma et al. (2018).
DOI: 10.6084/m9.figshare.7981976
title: Dataset for "Enhanced propagation of motile bacteria on surfaces due to forward scattering"

description: Dataset associated with "Enhanced propagation of motile bacteria on surfaces due to forward scattering"
DOI: 10.6084/m9.figshare.7982003.v1
title: Cyberslacking and Internet Abuse Intention Response.xlsx

description: Data was collected from 106 respondents from two different universities in Bangladesh. The items measured low self-esteem, private demand, cyberslacking behavior and abusive intention. To measure the relationship with the variables, we adapted the items from established literature. Items for low self-esteem was adopted from the research of Chen et al. (2008), items for private demand was adopted from the work of Koay et al. (2017), rules and regulations were adopted from the research of Vahdati and Yasini, (2015). Cyberslacking was identified from (Vitak et al., 2011) and measured it using binary variables where “0” means respondents did not do the questioned tasks at work and on the other hand “1” means respondents did the questioned tasks while they at work. The questioned nine items are “sending emails”, IM (Instant messages)”, “Texts”, “Visiting a SNS (Social Networking Sites)”, “Watching video”, ”Writing blogs”, “Reading blogs”, ”Playing video games” and “Shopping”. We included a scenario based questionnaire to investigate the internet abuse intention. The scenario was “You work for an IT farm; and for last five years, you managed several projects. You are always dedicated to your work but unfortunately you are not appreciated with all of your successful aspects. Your salary increment is totally off for last two years. On the other hand, your rival is always credited without doing successful perspectives as well as his/her salary increment is going on day by day. All on a sudden, your rival is promoted for higher designation but you are not. These situations are humiliating for you. You also hear a rumor that the farm may be fired you soon. If you want, then you may take revenge against the company because of your high liberty. From your past experience, you know that you can access several confidential files/documents easily. The security control situation at the company is poor. You know all of the confidential information of your company and also know how to destroy all of those information without leaving any evidence”. Abuse intention was measured using the scale from (Kim et al., 2016) consisting of three items with response options varying from strongly disagree to strongly agree in the seven point Likert scale format. The included items are “I intended to abuse the systems”, “I predict I will abuse the systems” and “I plan to abuse the systems”. We used SPSS v.21 to calculate the frequency of demographic questionnaire. SmartPLS 3.0 was used to test the hypotheses (relationship between the variables) by following the research of Mahmud et al. (2017) and Toma et al. (2018).
DOI: 10.6084/m9.figshare.7981952
title: Phylogenetic species delimitation for the widespread spider wasp Ageniella accepta (Hymenoptera: Pompilidae), with new synonyms: supplementary material

description: <i>Ageniella</i> is the second-most diverse spider wasp genus in Ageniellini (Pepsinae). The <i>Ageniella</i> (<i>Ageniella</i>) <i>accepta</i> species-group is found from Canada to Panama and is composed of three Nearctic species: <i>A. accepta </i>(Cresson), <i>A. blaisdelli</i> (Fox), and <i>A. conflicta</i> Banks. Within this group, species-level identification is difficult, because diagnostic characters are questionable, and subjective for both males and females. Furthermore, sexes of each species are not reliably associated. Herein, we investigate sex associations and the validity of described species within the <i>A. accepta </i>species-group based on three molecular markers (cytochrome oxidase I, wingless, long-wavelength rhodopsin) by using maximum likelihood and Bayesian phylogenetic analyses, and species-delimitation approaches. Additionally, we mapped 12 morphological traits onto the molecular phylogeny to discuss evolution of diagnostic characters. We concluded that the three species of the <i>A. accepta</i> species-group are actually a single, wide-ranging species with strong geographical signal. Moreover, our results suggest introgression at the mitochondrial level.
DOI: 10.6084/m9.figshare.7981952.v1
title: Phylogenetic species delimitation for the widespread spider wasp Ageniella accepta (Hymenoptera: Pompilidae), with new synonyms: supplementary material

description: <i>Ageniella</i> is the second-most diverse spider wasp genus in Ageniellini (Pepsinae). The <i>Ageniella</i> (<i>Ageniella</i>) <i>accepta</i> species-group is found from Canada to Panama and is composed of three Nearctic species: <i>A. accepta </i>(Cresson), <i>A. blaisdelli</i> (Fox), and <i>A. conflicta</i> Banks. Within this group, species-level identification is difficult, because diagnostic characters are questionable, and subjective for both males and females. Furthermore, sexes of each species are not reliably associated. Herein, we investigate sex associations and the validity of described species within the <i>A. accepta </i>species-group based on three molecular markers (cytochrome oxidase I, wingless, long-wavelength rhodopsin) by using maximum likelihood and Bayesian phylogenetic analyses, and species-delimitation approaches. Additionally, we mapped 12 morphological traits onto the molecular phylogeny to discuss evolution of diagnostic characters. We concluded that the three species of the <i>A. accepta</i> species-group are actually a single, wide-ranging species with strong geographical signal. Moreover, our results suggest introgression at the mitochondrial level.