cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20430459
title: Additional file 2 of The effect of Campylobacter jejuni and Campylobacter coli colonization on the gut morphology, functional integrity, and microbiota composition of female turkeys

description: Additional file 2. Cecal heterophil counts of Campylobacter-free and Campylobacter-inoculated female turkeys. Values represent average cecal heterophil counts at seven, 14, and 28 days after mock-, C. coli, C. jejuni, or coinoculation from three repeat experiments, n = 6. Heterophils were counted in ten randomly selected epithelial regions per specimen at 400x magnification.
DOI: 10.6084/m9.figshare.20430459.v1
title: Additional file 2 of The effect of Campylobacter jejuni and Campylobacter coli colonization on the gut morphology, functional integrity, and microbiota composition of female turkeys

description: Additional file 2. Cecal heterophil counts of Campylobacter-free and Campylobacter-inoculated female turkeys. Values represent average cecal heterophil counts at seven, 14, and 28 days after mock-, C. coli, C. jejuni, or coinoculation from three repeat experiments, n = 6. Heterophils were counted in ten randomly selected epithelial regions per specimen at 400x magnification.
DOI: 10.6084/m9.figshare.20430501
title: Additional file 2 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 2: Table S1. Differentially expressed genes of whole blood (WB) when COVID-19 patients compared with healthy control (HC) individuals; significant Biological Processes (BPs), molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases.
DOI: 10.6084/m9.figshare.20430501.v1
title: Additional file 2 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 2: Table S1. Differentially expressed genes of whole blood (WB) when COVID-19 patients compared with healthy control (HC) individuals; significant Biological Processes (BPs), molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases.
DOI: 10.6084/m9.figshare.20430504.v1
title: Additional file 3 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 3: Table S2. The results of independent T-test between different immune cell types of COVID-19 and healthy control groups based on the Cibersort.
DOI: 10.6084/m9.figshare.20430504
title: Additional file 3 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 3: Table S2. The results of independent T-test between different immune cell types of COVID-19 and healthy control groups based on the Cibersort.
DOI: 10.6084/m9.figshare.20430507.v1
title: Additional file 4 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 4: Table S3. Differentially expressed genes, significant biological processes (BPs) molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases when nasopharyngeal transcriptome of COVID-19 compared with that of healthy controls/non-viral acute respiratory illnesses (ARIs)/other viral ARIs.
DOI: 10.6084/m9.figshare.20430507
title: Additional file 4 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 4: Table S3. Differentially expressed genes, significant biological processes (BPs) molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases when nasopharyngeal transcriptome of COVID-19 compared with that of healthy controls/non-viral acute respiratory illnesses (ARIs)/other viral ARIs.
DOI: 10.6084/m9.figshare.20430510
title: Additional file 5 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 5: Table S4. Common differentially expressed genes between SARS-COV-2 infected whole blood and nasopharyngeal samples when compared with healthy controls; Significant biological processes (BPs) molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases.
DOI: 10.6084/m9.figshare.20430513
title: Additional file 6 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 6: Table S5. The statistical criteria for the best combinations of the features obtained from the LASSO method in the first and second phases based on Random Forest (RF) classification among whole blood and nasopharyngeal data.
DOI: 10.6084/m9.figshare.20430510.v1
title: Additional file 5 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 5: Table S4. Common differentially expressed genes between SARS-COV-2 infected whole blood and nasopharyngeal samples when compared with healthy controls; Significant biological processes (BPs) molecular functions (MFs), and cellular components (CCs) categories obtained from EnrichR and ToppGene databases; Significant hallmark pathways and enriched pathways acquired by EnrichR and ToppGene databases; The common results of GO-terms and enriched pathways between EnrichR and ToppGene databases.
DOI: 10.6084/m9.figshare.20430516.v1
title: Additional file 7 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 7: Table S6. The significant GO terms and enriched pathways for LASSO features of WB and NP samples.
DOI: 10.6084/m9.figshare.20430519.v1
title: Additional file 8 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 8: Table S7. The statistical criteria for top 100 panels (3 to 9-diagnostic markers) obtained from the common WB/NP DEGs based on the train and test sets in WB and NP samples.
DOI: 10.6084/m9.figshare.20430513.v1
title: Additional file 6 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 6: Table S5. The statistical criteria for the best combinations of the features obtained from the LASSO method in the first and second phases based on Random Forest (RF) classification among whole blood and nasopharyngeal data.
DOI: 10.6084/m9.figshare.20430516
title: Additional file 7 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 7: Table S6. The significant GO terms and enriched pathways for LASSO features of WB and NP samples.
DOI: 10.6084/m9.figshare.20430519
title: Additional file 8 of Identifying novel host-based diagnostic biomarker panels for COVID-19: a whole-blood/nasopharyngeal transcriptome meta-analysis

description: Additional file 8: Table S7. The statistical criteria for top 100 panels (3 to 9-diagnostic markers) obtained from the common WB/NP DEGs based on the train and test sets in WB and NP samples.
DOI: 10.6084/m9.figshare.20430569
title: Additional file 2 of The impacts of viral infection and subsequent antimicrobials on the microbiome-resistome of growing pigs

description: Additional file 2: Dataset S1. Metadata for all samples presented in this study. Dataset S2. Results from microbiome (phylum and genus level) differential abundance testing of each treatment group, by sampling time point. Dataset S3. Results from microbiome (phylum and genus level) differential abundance testing between treatment group, for each sampling time point. Dataset S4. Results from microbiome (phylum and genus level) differential abundance testing by sampling time point (ie. all treatment group samples together). Dataset S5. Results from resistome (ARG level ie. AMR gene group) differential abundance testing of each treatment group, by sampling time point. Dataset S6. Results from resistome (ARG level ie. AMR gene group) differential abundance between treatment group, for each sampling time point. Dataset S7. Results from resistome (ARG level ie. AMR gene group) differential abundance by sampling time point (ie. all treatment group samples together).
DOI: 10.6084/m9.figshare.20430569.v1
title: Additional file 2 of The impacts of viral infection and subsequent antimicrobials on the microbiome-resistome of growing pigs

description: Additional file 2: Dataset S1. Metadata for all samples presented in this study. Dataset S2. Results from microbiome (phylum and genus level) differential abundance testing of each treatment group, by sampling time point. Dataset S3. Results from microbiome (phylum and genus level) differential abundance testing between treatment group, for each sampling time point. Dataset S4. Results from microbiome (phylum and genus level) differential abundance testing by sampling time point (ie. all treatment group samples together). Dataset S5. Results from resistome (ARG level ie. AMR gene group) differential abundance testing of each treatment group, by sampling time point. Dataset S6. Results from resistome (ARG level ie. AMR gene group) differential abundance between treatment group, for each sampling time point. Dataset S7. Results from resistome (ARG level ie. AMR gene group) differential abundance by sampling time point (ie. all treatment group samples together).
DOI: 10.6084/m9.figshare.20430600
title: Additional file 1 of Mammography screening is associated with more favourable breast cancer tumour characteristics and better overall survival: case-only analysis of 3739 Asian breast cancer patients

description: Additional file 1: Supplementary tables and figures. Figure S1. Categorization of motivators and deterrents to mammography. Figure S2. Physical activity scores. Figure S3. Details on deriving menopausal status at diagnosis. Figure S4. Categorization of housing and highest qualification achieved. Figure S5. Flow chart of study population, which is comprised of breast cancer patients in the Singapore Breast Cancer Cohort (SGBCC), recruited between 2011 and 2018. Table S1. Treatment characteristics of study population. Table S2. Associations between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity, and case type (incident/prevalent), for population including stages 0 to IV (n=4566). Table S3. Associations between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity, for incident cases (n=2122). Table S4. Association of patient, tumor and treatment characteristics with ten-year overall survival (n=3739). Table S5. Association of mammography behaviour with five-year overall survival (n=3191). Figure S6. Five-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware). Table S6. Association of mammography behaviour with ten-year overall survival, for incident cases (n=2122). Figure S7. Ten-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware) for incident cases (n=2122). Table S7. Association of mammography behaviour with ten-year overall survival, for population including stages 0 to IV (n=4566). Figure S8. Ten-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware), for population including stages 0 to IV (n=4566). Table S8. Comparison between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity among non-regular screeners (n=1210), and true non-screeners (n=1050). Figure S9. Ten-year overall survival is illustrated according to mammography behaviour (non-regular screeners, n=1210, and true non-screeners, n=1050). Table S9. Associations between sociodemographic factors and mammography behaviour,adjusted for age at diagnosis and site, for incident cases (n=2122).
DOI: 10.6084/m9.figshare.20430600.v1
title: Additional file 1 of Mammography screening is associated with more favourable breast cancer tumour characteristics and better overall survival: case-only analysis of 3739 Asian breast cancer patients

description: Additional file 1: Supplementary tables and figures. Figure S1. Categorization of motivators and deterrents to mammography. Figure S2. Physical activity scores. Figure S3. Details on deriving menopausal status at diagnosis. Figure S4. Categorization of housing and highest qualification achieved. Figure S5. Flow chart of study population, which is comprised of breast cancer patients in the Singapore Breast Cancer Cohort (SGBCC), recruited between 2011 and 2018. Table S1. Treatment characteristics of study population. Table S2. Associations between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity, and case type (incident/prevalent), for population including stages 0 to IV (n=4566). Table S3. Associations between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity, for incident cases (n=2122). Table S4. Association of patient, tumor and treatment characteristics with ten-year overall survival (n=3739). Table S5. Association of mammography behaviour with five-year overall survival (n=3191). Figure S6. Five-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware). Table S6. Association of mammography behaviour with ten-year overall survival, for incident cases (n=2122). Figure S7. Ten-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware) for incident cases (n=2122). Table S7. Association of mammography behaviour with ten-year overall survival, for population including stages 0 to IV (n=4566). Figure S8. Ten-year overall survival is illustrated according to mammography behaviour (screeners, non-screeners, unaware), for population including stages 0 to IV (n=4566). Table S8. Comparison between mammography behaviour and disease characteristics adjusted for age at diagnosis, site, ethnicity among non-regular screeners (n=1210), and true non-screeners (n=1050). Figure S9. Ten-year overall survival is illustrated according to mammography behaviour (non-regular screeners, n=1210, and true non-screeners, n=1050). Table S9. Associations between sociodemographic factors and mammography behaviour,adjusted for age at diagnosis and site, for incident cases (n=2122).
DOI: 10.6084/m9.figshare.20430596
title: Additional file 1 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 1: Table S1. Relative expression of all piRNAs identified and DEpiRNAs in gonads.
DOI: 10.6084/m9.figshare.20430596.v1
title: Additional file 1 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 1: Table S1. Relative expression of all piRNAs identified and DEpiRNAs in gonads.
DOI: 10.6084/m9.figshare.20430599.v1
title: Additional file 2 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 2: Table S2. Prediction of piRNA clusters.
DOI: 10.6084/m9.figshare.20430599
title: Additional file 2 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 2: Table S2. Prediction of piRNA clusters.
DOI: 10.6084/m9.figshare.20430602
title: Additional file 3 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 3: Table S3. List of preidicted target genes of DEpiRNAs.
DOI: 10.6084/m9.figshare.20430602.v1
title: Additional file 3 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 3: Table S3. List of preidicted target genes of DEpiRNAs.
DOI: 10.6084/m9.figshare.20430605
title: Additional file 4 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 4: Table S4. Relative expression of mRNAs and DEGs in gonads.
DOI: 10.6084/m9.figshare.20430605.v1
title: Additional file 4 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 4: Table S4. Relative expression of mRNAs and DEGs in gonads.
DOI: 10.6084/m9.figshare.20430608
title: Additional file 5 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 5: Table S5. KEGG analysis of DEGs in gonads.
DOI: 10.6084/m9.figshare.20430608.v1
title: Additional file 5 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 5: Table S5. KEGG analysis of DEGs in gonads.
DOI: 10.6084/m9.figshare.20430611
title: Additional file 6 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 6: Table S6. GO analysis of DEGs in gonads
DOI: 10.6084/m9.figshare.20430611.v1
title: Additional file 6 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 6: Table S6. GO analysis of DEGs in gonads
DOI: 10.6084/m9.figshare.20430614
title: Additional file 7 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 7: Table S7. DEpiRNA target gene KEGG analysis.
DOI: 10.6084/m9.figshare.20430614.v1
title: Additional file 7 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 7: Table S7. DEpiRNA target gene KEGG analysis.
DOI: 10.6084/m9.figshare.20430617
title: Additional file 8 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 8: Table S8. GO analysis of DEpiRNA target genes.
DOI: 10.6084/m9.figshare.20430617.v1
title: Additional file 8 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 8: Table S8. GO analysis of DEpiRNA target genes.
DOI: 10.6084/m9.figshare.20430620
title: Additional file 9 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 9: Table S9. Primers and for RT-qPCR.
DOI: 10.6084/m9.figshare.20430620.v1
title: Additional file 9 of Transcriptome analysis revealed gene expression feminization of testis after exogenous tetrodotoxin administration in pufferfish Takifugu flavidus

description: Additional file 9: Table S9. Primers and for RT-qPCR.
DOI: 10.6084/m9.figshare.5244934.v2
title: Additional file 3 of Genome-wide DNA methylation profile analysis identifies differentially methylated loci associated with ankylosis spondylitis

description: Presenting significantly differentially methylated CpG sites between AS patients and healthy controls. (XLSX 167 kb)
DOI: 10.6084/m9.figshare.5244937.v2
title: Additional file 4 of Genome-wide DNA methylation profile analysis identifies differentially methylated loci associated with ankylosis spondylitis

description: Presents genome-wide DNA methylation microarray data. (CSV 244140 kb)
DOI: 10.23729/a1244e18-262e-4763-a57f-1997477098a8
title: AdvanCT2 preview

description: More samples for the AdvanCT project, to test the metrological capabilities of XCT. Similar samples as https://doi.org/10.23729/4a55f434-e90a-4c5b-9e26-3cd1aef2e3cb for the same project as https://doi.org/10.23729/823586be-5d59-466d-8de0-bcffedfe7556 . This time samples are calotte plates of two different sizes imaged at various source to object distances. Preview of PAS dataset https://doi.org/10.23729/853553cb-fa75-4293-ac1d-289f4efdb075
DOI: 10.23729/823586be-5d59-466d-8de0-bcffedfe7556
title: AdvanCT preview

description: Various samples imaged to test the capabilities of the device for metrology purposes. Surgical needles of two different sizes, fuel nozzles of two different sizes and a welded joint Preview of PAS-dataset https://doi.org/10.23729/bbb9b3e8-0a21-417d-a946-ef402dbcfd2e Set 2 preview: https://doi.org/10.23729/853553cb-fa75-4293-ac1d-289f4efdb075
DOI: 10.23729/4a55f434-e90a-4c5b-9e26-3cd1aef2e3cb
title: MIKES Calotte Plates Part 1 preview

description: The samples are calotte plates designed and manufactured at VTT MIKES. They are calibration samples with internal and external diameters. Some calotte plates also have rough patterns at the back surface. The samples exist in four sizes and two materials, steel and aluminum. Samples were measured to determine the scale accuracy of the measurement in different scales and to explore the possibility of scale calibration. Another goal was to examine the effect of sample material on measurement accuracy and the measurement uncertainty caused by determination of sample surface. Rough patterns were included to see how well XCT is suited to surface roughness measurements in different scales. Preview of PAS-dataset https://doi.org/10.23729/366da04d-92c9-4c9a-bf07-331c0a851557 Part 2 preview: https://doi.org/10.23729/853553cb-fa75-4293-ac1d-289f4efdb075
DOI: 10.5519/qd.kq49u8ne
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (287292 records)