cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16599678.v1
title: Additional file 3 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 3:
DOI: 10.6084/m9.figshare.16599672
title: Additional file 1 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 1:
DOI: 10.6084/m9.figshare.16599675
title: Additional file 2 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 2:
DOI: 10.6084/m9.figshare.16599675.v1
title: Additional file 2 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 2:
DOI: 10.6084/m9.figshare.16599678
title: Additional file 3 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 3:
DOI: 10.6084/m9.figshare.16599681.v1
title: Additional file 4 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 4:
DOI: 10.6084/m9.figshare.16599681
title: Additional file 4 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 4:
DOI: 10.6084/m9.figshare.16599684
title: Additional file 5 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 5:
DOI: 10.6084/m9.figshare.16599684.v1
title: Additional file 5 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 5:
DOI: 10.6084/m9.figshare.16599690
title: Additional file 6 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 6:
DOI: 10.6084/m9.figshare.16599690.v1
title: Additional file 6 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 6:
DOI: 10.6084/m9.figshare.16599699
title: Additional file 7 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 7:
DOI: 10.6084/m9.figshare.16599702
title: Additional file 8 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 8:
DOI: 10.6084/m9.figshare.16599699.v1
title: Additional file 7 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 7:
DOI: 10.6084/m9.figshare.16599702.v1
title: Additional file 8 of Mobility for maternal health among women in hard-to-reach fishing communities on Lake Victoria, Uganda; a community-based cross-sectional survey

description: Additional file 8:
DOI: 10.6084/m9.figshare.16599759
title: Additional file 1 of Inclusive planning: African policy inventory and South African mobility case study on the exclusion of persons with disabilities

description: Additional file 1. Policy Documents Raw Data.
DOI: 10.6084/m9.figshare.16599759.v1
title: Additional file 1 of Inclusive planning: African policy inventory and South African mobility case study on the exclusion of persons with disabilities

description: Additional file 1. Policy Documents Raw Data.
DOI: 10.6084/m9.figshare.14728294
title: Additional file 1 of Post-diapause transcriptomic restarts: insight from a high-latitude copepod

description: Additional file 1:.
DOI: 10.6084/m9.figshare.14728294.v1
title: Additional file 1 of Post-diapause transcriptomic restarts: insight from a high-latitude copepod

description: Additional file 1:.
DOI: 10.6084/m9.figshare.16599798
title: Additional file 2 of Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction

description: Additional file 2. Overview of experiments Excel Results_Summary_Table.xlsx (Excel file).
DOI: 10.6084/m9.figshare.16599798.v1
title: Additional file 2 of Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction

description: Additional file 2. Overview of experiments Excel Results_Summary_Table.xlsx (Excel file).
DOI: 10.6084/m9.figshare.16599801.v1
title: Additional file 3 of Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction

description: Additional file 3. R data frame including all 29 experiment results experiment_results.RDS (an R RDS file).
DOI: 10.6084/m9.figshare.16599801
title: Additional file 3 of Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction

description: Additional file 3. R data frame including all 29 experiment results experiment_results.RDS (an R RDS file).
DOI: 10.6084/m9.figshare.16599758
title: Additional file 12 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 12: Raw data relating to Figure S5C. Excel sheet showing the Ct values from qPCR and the calculations for transcript expression levels in testes from XYRIII and XYRIIIqdel mice.
DOI: 10.6084/m9.figshare.16599758.v1
title: Additional file 12 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 12: Raw data relating to Figure S5C. Excel sheet showing the Ct values from qPCR and the calculations for transcript expression levels in testes from XYRIII and XYRIIIqdel mice.
DOI: 10.6084/m9.figshare.16599767
title: Additional file 15 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 15: Raw data relating to Figure 6H. Sheets 1 and 2 contain the raw data for SOD and PLA2G12B along with the corresponding control used; Sheet 3 shows the computations for drawing the graph.
DOI: 10.6084/m9.figshare.16599767.v1
title: Additional file 15 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 15: Raw data relating to Figure 6H. Sheets 1 and 2 contain the raw data for SOD and PLA2G12B along with the corresponding control used; Sheet 3 shows the computations for drawing the graph.
DOI: 10.6084/m9.figshare.16599770
title: Additional file 16 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 16: Table S1. piRNA mapping to Pirmy and Pirmy-like RNAs in SRA database. Table showing piRNA sequences from Pirmy and Pirmy-like RNAs aligning to piRNAs in SRA databases (SRP000623 and SRP001701). The chromosomal localization and copy number of these piRNAs are also given in the table.
DOI: 10.6084/m9.figshare.16599770.v1
title: Additional file 16 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 16: Table S1. piRNA mapping to Pirmy and Pirmy-like RNAs in SRA database. Table showing piRNA sequences from Pirmy and Pirmy-like RNAs aligning to piRNAs in SRA databases (SRP000623 and SRP001701). The chromosomal localization and copy number of these piRNAs are also given in the table.
DOI: 10.6084/m9.figshare.16599791
title: Additional file 4 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 4: Supplementary data sheet. Annotation of the splice junctions of Pirmy isoforms with reference to genomic contig NT_166343.2: The exon-intron junctions of all 80 splice isoforms have been annotated by aligning them to the genomic contig NT_166343.2. The splice junctions of all the Pirmy isoforms show the consensus splice signal sequences AG/GT, which have been represented with green and blue color respectively. The 5’ and 3’ flanking sequences of all the splice junctions are given (black letters).
DOI: 10.6084/m9.figshare.16599791.v1
title: Additional file 4 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 4: Supplementary data sheet. Annotation of the splice junctions of Pirmy isoforms with reference to genomic contig NT_166343.2: The exon-intron junctions of all 80 splice isoforms have been annotated by aligning them to the genomic contig NT_166343.2. The splice junctions of all the Pirmy isoforms show the consensus splice signal sequences AG/GT, which have been represented with green and blue color respectively. The 5’ and 3’ flanking sequences of all the splice junctions are given (black letters).
DOI: 10.6084/m9.figshare.16599803
title: Additional file 7 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 7: qPCR raw data relating to Figure S4. Excel sheet showing the Ct values from qPCR and the calculations for estimation of copy number of Pirmy and Pirmy-like RNAs in XYRIII and XYRIIIqdel genomes.
DOI: 10.6084/m9.figshare.16599803.v1
title: Additional file 7 of Y chromosomal noncoding RNAs regulate autosomal gene expression via piRNAs in mouse testis

description: Additional file 7: qPCR raw data relating to Figure S4. Excel sheet showing the Ct values from qPCR and the calculations for estimation of copy number of Pirmy and Pirmy-like RNAs in XYRIII and XYRIIIqdel genomes.
DOI: 10.6084/m9.figshare.16599815
title: Additional file 1 of Health economic benefits through the use of diagnostic support systems and expert knowledge

description: Additional file 1
DOI: 10.6084/m9.figshare.16599815.v1
title: Additional file 1 of Health economic benefits through the use of diagnostic support systems and expert knowledge

description: Additional file 1
DOI: 10.3886/e143843v1-96000
title: Impacts of COVID-19 on People with Disabilities

description: When it comes to planning, meeting accommodation needs, and accessibility issues, people with disabilities are at a disproportionately high risk during times of crisis compared to those without. Additionally, many people with disabilities are immunocompromised and are at a greatest risk of serious complications and death due to infection from COVID-19. This survey was launched in April of 2020 to look further into how people with disabilities have been experiencing the COVID-19 pandemic, how their daily lives have been impacted, and how and where they were accessing information on best practices and early recommendations by various information sources. We were particularly interested in learning about differences among people with disabilities in both urban and rural areas in the United States. To collect this information, we launched a survey on Amazon MTurk, which is a common platform for recruiting participants in hard-to-reach populations within social science and human subjects research. After a brief set of screener questions asking about age, disability status, and checking for bots, the survey questions asked about participants’ health, daily activities, community participation, trust in information sources, pandemic response behaviors, and how those things have been impacted by changes during the COVID-19 pandemic. The results were analyzed using statistical software and used to produce research briefs, factsheets, and peer-reviewed journal articles, and may be incorporated into future presentations, national conferences, and additional publications.
description: Presence of Common Scales: WGSS 4-point Likert-type scale, HRQoL-4, 5-point Likert-type scale
description: Workers of Amazon Mechanical Turk (MTurk) that were screened for disability status
description: US residents aged 18+ Amazon Mechanical Turk (MTurk) workers. Smallest Geographic Unit: United States
description: web-based survey;
DOI: 10.6084/m9.figshare.15000306
title: Supplementary File 2

description: Supplementary File 2 with all the primers used in the study.
DOI: 10.6084/m9.figshare.15000306.v2
title: Supplementary File 2

description: Supplementary File 2 with all the primers used in the study.
DOI: 10.6084/m9.figshare.15000306.v1
title: Supplementary File 2

description: Supplementary File 2 with all the primers used in the study.
DOI: 10.6084/m9.figshare.16595852.v1
title: Greater Manchester Crime data_y2016.xlsx

description: Crime data in year 2016 of Greater Manchester.The fields of the data including ‘Month’, ‘Reported by’,','Falls within', 'Longitude', 'Latitude','Location', 'LSOA code', 'LSOA name', 'Crime type’.
DOI: 10.6084/m9.figshare.16599341
title: opened data

description: Dual-polization radar and disdrometer data measured in Typhoon Lekima (2019)
DOI: 10.6084/m9.figshare.16599341.v1
title: opened data

description: Dual-polization radar and disdrometer data measured in Typhoon Lekima (2019)
DOI: 10.5281/zenodo.5499008
title: Human-Machine Music Improvisation Artefacts

description: Corpus of artefacts from a study: Investigating Explanation for Human-Machine Music Improvisation. A human musician and an AI music system performed together as a duo in an improvised music setting. Included here are: Audio recordings of the music performances, participants comments referencing specific points in the performance recording and interview transcriptions from a follow up interview.
DOI: 10.6084/m9.figshare.16595852.v2
title: Greater Manchester Crime data_y2016.xlsx

description: Crime data in year 2016 of Greater Manchester.The fields of the data including ‘Month’, ‘Reported by’,','Falls within', 'Longitude', 'Latitude','Location', 'LSOA code', 'LSOA name', 'Crime type’.
DOI: 10.6084/m9.figshare.16571019.v1
title: Workplace ergonomics problems and solutions: Working from home

description: A qualitative ethnographic methodology was adopted. This study included a focus group discussion among experts from the fields of higher education, healthcare, human resources (HR), and ergonomics patient in Malaysia. The most common ergonomic issues identified were based on diagnoses and observations in previous studies
DOI: 10.6084/m9.figshare.14113439
title: STL files of fracture network models and their permeability

description: We simulated flow in fracture network using OpenFOAM. The fracture networks were given in STL files. The simulated permeability are in simulation_permeability.csv
DOI: 10.6084/m9.figshare.13140648
title: Microbial diversity in water and animal faeces: a metagenomic analysis to assess public health risk

description: Environmental DNA (eDNA) offers a new avenue for investigating changes in the water microbial community associated with faecal contamination. Faeces in drinking water might include pathogens, which result in serious waterborne diseases in humans. Therefore, drinking water requires comprehensive information about microbial diversity that comes from faecal contamination of different sources to reduce the risk of gastrointestinal diseases. Here, we investigated the microbial diversity of water and faecal samples at 15 recreational campgrounds in New Zealand. In total, 42 faecal (two rabbits, seven ducks, seven ruminants, seven passerines, nine possum and ten Pukeko) and 75 water (37 intakes and 38 taps) samples were analysed using 16S rRNA metabarcoding. Our results suggested that water samples harbour a higher microbial diversity than faeces. Canonical correspondence analysis of bacterial communities and NeighborNet tree of recognised pathogens showed clustering of samples from similar sources. Phylogenetic analyses showed evidence for the presence of <i>Arcobacter</i> and <i>Sulfurospirillum</i> and indicator organisms <i>Escherichia</i> and enterococci in water, while <i>Campylobacter</i> was mainly found in faeces. These findings provide novel insights toward understanding the quality of drinking water and allow future use for the identification of faecal contamination in water.
DOI: 10.6084/m9.figshare.14355896
title: Sucked in by eDNA – a promising tool for complementing riverine assessment of freshwater fish communities in Aotearoa New Zealand

description: There is increasing interest in the health of waterways in Aotearoa New Zealand. The National Policy Statement for Freshwater Management 2020 (NPS-FM) places a greater onus on resource managers to report on the state of freshwater ecosystem health, including fish. Routine fish monitoring is time intensive and is principally conducted in ‘wadeable’ stream reaches. In comparison, environmental DNA (eDNA) sampling is a relatively recent and rapid technique that likely detects fish and other vertebrate and invertebrate taxa over a broader spatial scale. In this study, we present data for five wadeable streams comparing diversity derived from multi-year standardised electrofishing with eDNA samples collected from the same reaches. Further, we explore whether the number of eDNA monitoring ‘reads’ for species at a site may provide an approximate (semi-quantitative) indication of their ‘near field’ relative abundance based on one-pass electrofishing captures. Results indicated that while some aspects of the methodology require fine-tuning, eDNA sampling shows substantial promise for complimenting state of the environment (SOE) reporting for describing fish diversity in wadeable streams. The use of aquatic eDNA monitoring to provide a cost-effective indication of broader catchment scale biodiversity (e.g. birds and exotic pests) in wadeable and non-wadeable streams is also discussed.
DOI: 10.6084/m9.figshare.13624298
title: Detecting the pest fish, <i>Gambusia affinis</i> from environmental DNA in New Zealand: a comparison of methods

description: We assessed the usefulness of environmental DNA (eDNA) for monitoring the introduced pest fish <i>Gambusia affinis</i> by filtering water samples from streams in the Nelson and Tasman regions, South Island, New Zealand, known to contain <i>G. affinis,</i> and from streams where <i>G. affinis</i> were absent. We used the Smith Root DNA sampler backpack with two types of filters (1.2 and 5 µm pores), to filter water and capture eDNA, and used quantitative polymerase chain reactions (qPCR), and digital droplet PCR (ddPCR) to measure the amount of <i>G. affinis</i> DNA collected by the two filter sizes. We also used high throughput (Illumina MiSeq) sequencing (HTS) to detect <i>G. affinis.</i> Results from the two PCR methods and the high throughput sequencing were compared to hand net counts of <i>G. affinis</i>. We found that all three methods were equally successful at detecting <i>G. affinis</i> when four replicates were taken from each site, but that sensitivity over all replicates was ddPCR &gt; qPCR &gt; HTS. We conclude that the use of environmental DNA to detect the presence of <i>G. affinis</i> is a useful tool to assist in mapping the distribution of <i>G. affinis</i> and will aid in the control of this invasive species.
DOI: 10.6084/m9.figshare.13624298.v1
title: Detecting the pest fish, <i>Gambusia affinis</i> from environmental DNA in New Zealand: a comparison of methods

description: We assessed the usefulness of environmental DNA (eDNA) for monitoring the introduced pest fish <i>Gambusia affinis</i> by filtering water samples from streams in the Nelson and Tasman regions, South Island, New Zealand, known to contain <i>G. affinis,</i> and from streams where <i>G. affinis</i> were absent. We used the Smith Root DNA sampler backpack with two types of filters (1.2 and 5 µm pores), to filter water and capture eDNA, and used quantitative polymerase chain reactions (qPCR), and digital droplet PCR (ddPCR) to measure the amount of <i>G. affinis</i> DNA collected by the two filter sizes. We also used high throughput (Illumina MiSeq) sequencing (HTS) to detect <i>G. affinis.</i> Results from the two PCR methods and the high throughput sequencing were compared to hand net counts of <i>G. affinis</i>. We found that all three methods were equally successful at detecting <i>G. affinis</i> when four replicates were taken from each site, but that sensitivity over all replicates was ddPCR &gt; qPCR &gt; HTS. We conclude that the use of environmental DNA to detect the presence of <i>G. affinis</i> is a useful tool to assist in mapping the distribution of <i>G. affinis</i> and will aid in the control of this invasive species.
DOI: 10.6084/m9.figshare.13140648.v1
title: Microbial diversity in water and animal faeces: a metagenomic analysis to assess public health risk

description: Environmental DNA (eDNA) offers a new avenue for investigating changes in the water microbial community associated with faecal contamination. Faeces in drinking water might include pathogens, which result in serious waterborne diseases in humans. Therefore, drinking water requires comprehensive information about microbial diversity that comes from faecal contamination of different sources to reduce the risk of gastrointestinal diseases. Here, we investigated the microbial diversity of water and faecal samples at 15 recreational campgrounds in New Zealand. In total, 42 faecal (two rabbits, seven ducks, seven ruminants, seven passerines, nine possum and ten Pukeko) and 75 water (37 intakes and 38 taps) samples were analysed using 16S rRNA metabarcoding. Our results suggested that water samples harbour a higher microbial diversity than faeces. Canonical correspondence analysis of bacterial communities and NeighborNet tree of recognised pathogens showed clustering of samples from similar sources. Phylogenetic analyses showed evidence for the presence of <i>Arcobacter</i> and <i>Sulfurospirillum</i> and indicator organisms <i>Escherichia</i> and enterococci in water, while <i>Campylobacter</i> was mainly found in faeces. These findings provide novel insights toward understanding the quality of drinking water and allow future use for the identification of faecal contamination in water.
DOI: 10.6084/m9.figshare.14355896.v1
title: Sucked in by eDNA – a promising tool for complementing riverine assessment of freshwater fish communities in Aotearoa New Zealand

description: There is increasing interest in the health of waterways in Aotearoa New Zealand. The National Policy Statement for Freshwater Management 2020 (NPS-FM) places a greater onus on resource managers to report on the state of freshwater ecosystem health, including fish. Routine fish monitoring is time intensive and is principally conducted in ‘wadeable’ stream reaches. In comparison, environmental DNA (eDNA) sampling is a relatively recent and rapid technique that likely detects fish and other vertebrate and invertebrate taxa over a broader spatial scale. In this study, we present data for five wadeable streams comparing diversity derived from multi-year standardised electrofishing with eDNA samples collected from the same reaches. Further, we explore whether the number of eDNA monitoring ‘reads’ for species at a site may provide an approximate (semi-quantitative) indication of their ‘near field’ relative abundance based on one-pass electrofishing captures. Results indicated that while some aspects of the methodology require fine-tuning, eDNA sampling shows substantial promise for complimenting state of the environment (SOE) reporting for describing fish diversity in wadeable streams. The use of aquatic eDNA monitoring to provide a cost-effective indication of broader catchment scale biodiversity (e.g. birds and exotic pests) in wadeable and non-wadeable streams is also discussed.