cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14442907
title: Additional file 4 of Habitat influences skeletal morphology and density in the snailfishes (family Liparidae)

description: Additional file 4: Supplementary Table 2. Relationship between calculated phylogenetic residuals and habitat depth in snailfishes, according to a two-way ANOVA. Degrees of freedom (df) and F-statistic (F) for each test are shown. Significant p-values below an alpha threshold of 0.05 are marked with two asterisks and bold type, those below the 0.1 alpha threshold are marked with a single asterisk and bold type.
DOI: 10.6084/m9.figshare.14442907.v1
title: Additional file 4 of Habitat influences skeletal morphology and density in the snailfishes (family Liparidae)

description: Additional file 4: Supplementary Table 2. Relationship between calculated phylogenetic residuals and habitat depth in snailfishes, according to a two-way ANOVA. Degrees of freedom (df) and F-statistic (F) for each test are shown. Significant p-values below an alpha threshold of 0.05 are marked with two asterisks and bold type, those below the 0.1 alpha threshold are marked with a single asterisk and bold type.
DOI: 10.6084/m9.figshare.14442910
title: Additional file 5 of Habitat influences skeletal morphology and density in the snailfishes (family Liparidae)

description: Additional file 5: Supplementary Table 3. Proximate bone density (related to percent hydroxyapatite, %HA) for five important bones in the snailfishes. Species and maximum habitat depth in meters (from the literature) are shown (see Table 4 for sources). Vertebra refers to the third vertebra from the dorsal side of the fish, suction disk to the first left disk pterygiophore from the anterior side of the fish, and otoliths refers to the sagittal otoliths. Some elements were missing in scans and were not possible to measure.
DOI: 10.6084/m9.figshare.14442904
title: Additional file 3 of Habitat influences skeletal morphology and density in the snailfishes (family Liparidae)

description: Additional file 3: Supplementary Table 1. Linear measurements of liparid species analyzed in the present study. Species and maximum habitat depth in meters (from the literature) are shown (see Table 4 for sources). Dentary dorsal fork length (dfl) and ventral fork length (vfl) are shown. All measurements were taken from preserved museum specimens in micro-CT and are shown in millimeters (mm).
DOI: 10.6084/m9.figshare.14442910.v1
title: Additional file 5 of Habitat influences skeletal morphology and density in the snailfishes (family Liparidae)

description: Additional file 5: Supplementary Table 3. Proximate bone density (related to percent hydroxyapatite, %HA) for five important bones in the snailfishes. Species and maximum habitat depth in meters (from the literature) are shown (see Table 4 for sources). Vertebra refers to the third vertebra from the dorsal side of the fish, suction disk to the first left disk pterygiophore from the anterior side of the fish, and otoliths refers to the sagittal otoliths. Some elements were missing in scans and were not possible to measure.
DOI: 10.6084/m9.figshare.14442916
title: Additional file 1 of COVID-19 pandemic and families' utilization of well-child clinics and pediatric practices attendance in Germany

description: Additional file 1. Comparison of weekly visit numbers between the years 2019 and 2020.
DOI: 10.6084/m9.figshare.14442916.v1
title: Additional file 1 of COVID-19 pandemic and families' utilization of well-child clinics and pediatric practices attendance in Germany

description: Additional file 1. Comparison of weekly visit numbers between the years 2019 and 2020.
DOI: 10.6084/m9.figshare.14442928.v1
title: Additional file 2 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 2: Table S1. GeCKOx sgRNA library.
DOI: 10.6084/m9.figshare.14442931
title: Additional file 3 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 3: Table S2. Screen analysis: Enrichment, false discovery rate (FDR), rank and hit summary of the generated primary and secondary screens together with the proliferation effects for the SRE-Elk and Nanog screens.
DOI: 10.6084/m9.figshare.14442937
title: Additional file 5 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 5: Table S4. RNA-seq data of 1.8 XX/XO mESCs (Rpkm values).
DOI: 10.6084/m9.figshare.14442931.v1
title: Additional file 3 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 3: Table S2. Screen analysis: Enrichment, false discovery rate (FDR), rank and hit summary of the generated primary and secondary screens together with the proliferation effects for the SRE-Elk and Nanog screens.
DOI: 10.6084/m9.figshare.14442934
title: Additional file 4 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 4: Table S3. GeCKOxs sgRNA library.
DOI: 10.6084/m9.figshare.14442934.v1
title: Additional file 4 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 4: Table S3. GeCKOxs sgRNA library.
DOI: 10.6084/m9.figshare.14442940
title: Additional file 6 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 6: Table S5. RNA-seq data of Dusp9 and Klhl13 mutant mESCs (Cpm values).
DOI: 10.6084/m9.figshare.14442940.v1
title: Additional file 6 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 6: Table S5. RNA-seq data of Dusp9 and Klhl13 mutant mESCs (Cpm values).
DOI: 10.6084/m9.figshare.14442943
title: Additional file 7 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 7: Table S6. IP-MS data for full length Klhl13 and the Kelch domain, showing LFQ (label-free quantification) protein intensities (log2), fold change (FC) and statistical comparison of GFP-Kelch vs GFP and D-GFP-Klhl13 vs D-GFP.
DOI: 10.6084/m9.figshare.14442943.v1
title: Additional file 7 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 7: Table S6. IP-MS data for full length Klhl13 and the Kelch domain, showing LFQ (label-free quantification) protein intensities (log2), fold change (FC) and statistical comparison of GFP-Kelch vs GFP and D-GFP-Klhl13 vs D-GFP.
DOI: 10.6084/m9.figshare.14442928
title: Additional file 2 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 2: Table S1. GeCKOx sgRNA library.
DOI: 10.6084/m9.figshare.14442949
title: Additional file 9 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 9: Table S8. Antibodies, cell lines, plasmids, gRNAs, oligos and primers used in the study.
DOI: 10.6084/m9.figshare.14442946
title: Additional file 8 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 8: Table S7. Proteome comparison of 1.8 XX and K13HOM mESCs (2 clones, 3 replicates), including LFQ protein intensities (log2), fold change and statistical comparison of K13HOM vs XX cells.
DOI: 10.6084/m9.figshare.14442949.v1
title: Additional file 9 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 9: Table S8. Antibodies, cell lines, plasmids, gRNAs, oligos and primers used in the study.
DOI: 10.6084/m9.figshare.14442937.v1
title: Additional file 5 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 5: Table S4. RNA-seq data of 1.8 XX/XO mESCs (Rpkm values).
DOI: 10.6084/m9.figshare.14442946.v1
title: Additional file 8 of Identification of X-chromosomal genes that drive sex differences in embryonic stem cells through a hierarchical CRISPR screening approach

description: Additional file 8: Table S7. Proteome comparison of 1.8 XX and K13HOM mESCs (2 clones, 3 replicates), including LFQ protein intensities (log2), fold change and statistical comparison of K13HOM vs XX cells.
DOI: 10.6084/m9.figshare.14442954
title: Additional file 1 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 1. Table S1. Baseline (week 0) patient characteristics for each group: means, standard deviations and Lower/upper 95% confidence interval per group. Assessment of differences in age, CD4+ T cell count, pre-ART HIV viral load, Serum CrAg Titers (lateral flow immunoassay), and sex between groups. Wilcoxon rank sum paired test for nonparametric data was used for the comparison between the groups (JMP14.2 Pro, SAS Institute). *The cut-off significance level for all P values &lt; 0.05.The pre-ART serum cryptococcal antigen titers (CrAg), as measured by LFA assay, were significantly higher in C-IRIS survivors’ group, as compared to patients who died in earlier ART study arm, with or without C-IRIS.
DOI: 10.6084/m9.figshare.14442957
title: Additional file 2 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 2. Table S2. Fold change in expression for genes within phagocytes- and T cell pathways, in Death without C-IRIS group at week 0. The comparison performed between Death without C-IRIS groups and No C-IRIS or Death groups (from early and deferred ART arms combined).Benjamini-Hochberg-corrected Z scores that are
DOI: 10.6084/m9.figshare.14442957.v1
title: Additional file 2 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 2. Table S2. Fold change in expression for genes within phagocytes- and T cell pathways, in Death without C-IRIS group at week 0. The comparison performed between Death without C-IRIS groups and No C-IRIS or Death groups (from early and deferred ART arms combined).Benjamini-Hochberg-corrected Z scores that are
DOI: 10.6084/m9.figshare.14442960
title: Additional file 3 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 3. Table S3. Gene expression comparisons results: analysis of variance with restricted maximum likelihood (ANOVA-REML). ANOVA multivariate analysis was performed as described in the methods. Group assignment legend: DD-N = Deferred Arm, Death without C-IRIS Group; DS-I = Deferred Arm, C-IRIS Survivor Group; DS-N = Deferred Arm, No C-IRIS or Death Group; ED-I = Earlier Arm, Fatal C-IRIS Group; ED-N = Earlier Arm, Death without C-IRIS Group; ES-I = Earlier Arm C-IRIS Survivor Group; ES-N = Earlier arm, No C-IRIS or Death Group. _0; _1; _4; _8; = 0, 1, 4, 8 weeks after ART, respectively. 4i = at the time of C-IRIS events.
DOI: 10.6084/m9.figshare.14442960.v1
title: Additional file 3 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 3. Table S3. Gene expression comparisons results: analysis of variance with restricted maximum likelihood (ANOVA-REML). ANOVA multivariate analysis was performed as described in the methods. Group assignment legend: DD-N = Deferred Arm, Death without C-IRIS Group; DS-I = Deferred Arm, C-IRIS Survivor Group; DS-N = Deferred Arm, No C-IRIS or Death Group; ED-I = Earlier Arm, Fatal C-IRIS Group; ED-N = Earlier Arm, Death without C-IRIS Group; ES-I = Earlier Arm C-IRIS Survivor Group; ES-N = Earlier arm, No C-IRIS or Death Group. _0; _1; _4; _8; = 0, 1, 4, 8 weeks after ART, respectively. 4i = at the time of C-IRIS events.
DOI: 10.6084/m9.figshare.14442963.v1
title: Additional file 4 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 4. Table S4. Biomarkers identified by Partial Least Square model. Partial Least Squares (PLS) regression model coefficients (R) for centered and scaled Various Importance in Projection (VIP) data. This data was analyzed by Groups: earlier and deferred ART arms combined (see the methods section and the text).
DOI: 10.6084/m9.figshare.14442954.v1
title: Additional file 1 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 1. Table S1. Baseline (week 0) patient characteristics for each group: means, standard deviations and Lower/upper 95% confidence interval per group. Assessment of differences in age, CD4+ T cell count, pre-ART HIV viral load, Serum CrAg Titers (lateral flow immunoassay), and sex between groups. Wilcoxon rank sum paired test for nonparametric data was used for the comparison between the groups (JMP14.2 Pro, SAS Institute). *The cut-off significance level for all P values &lt; 0.05.The pre-ART serum cryptococcal antigen titers (CrAg), as measured by LFA assay, were significantly higher in C-IRIS survivors’ group, as compared to patients who died in earlier ART study arm, with or without C-IRIS.
DOI: 10.6084/m9.figshare.14442963
title: Additional file 4 of Transcriptomic biomarker pathways associated with death in HIV-infected patients with cryptococcal meningitis

description: Additional file 4. Table S4. Biomarkers identified by Partial Least Square model. Partial Least Squares (PLS) regression model coefficients (R) for centered and scaled Various Importance in Projection (VIP) data. This data was analyzed by Groups: earlier and deferred ART arms combined (see the methods section and the text).
DOI: 10.6084/m9.figshare.14442997.v1
title: Additional file 10 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 10: Table S4. Genes unique and overlapping between phylogenomic datasets A and B.
DOI: 10.6084/m9.figshare.14442997
title: Additional file 10 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 10: Table S4. Genes unique and overlapping between phylogenomic datasets A and B.
DOI: 10.6084/m9.figshare.14443000
title: Additional file 11 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 11: Table S5. Maximum likelihood topologies produced by unique and shared genes from datasets A and B.
DOI: 10.6084/m9.figshare.14443000.v1
title: Additional file 11 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 11: Table S5. Maximum likelihood topologies produced by unique and shared genes from datasets A and B.
DOI: 10.6084/m9.figshare.14443015
title: Additional file 15 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 15: Table S6. Presence-absence table for genes involved in apicomplexan mitochondrial metabolism.
DOI: 10.6084/m9.figshare.14443015.v1
title: Additional file 15 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 15: Table S6. Presence-absence table for genes involved in apicomplexan mitochondrial metabolism.
DOI: 10.6084/m9.figshare.14443027
title: Additional file 1 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 1: Table S1. Sources, uses, and BUSCO completeness for data used in this study.
DOI: 10.6084/m9.figshare.14443027.v1
title: Additional file 1 of Gregarine single-cell transcriptomics reveals differential mitochondrial remodeling and adaptation in apicomplexans

description: Additional file 1: Table S1. Sources, uses, and BUSCO completeness for data used in this study.
DOI: 10.6084/m9.figshare.14411335.v1
title: Additional file 1 of Sustainable forest biomass: a review of current residue harvesting guidelines

description: Additional file 1. Additional tables derived from guidelines.
DOI: 10.6084/m9.figshare.14411338.v1
title: Additional file 2 of Sustainable forest biomass: a review of current residue harvesting guidelines

description: Additional file 2. Additional tables derived from reviews of guidelines.
DOI: 10.6084/m9.figshare.14411335
title: Additional file 1 of Sustainable forest biomass: a review of current residue harvesting guidelines

description: Additional file 1. Additional tables derived from guidelines.
DOI: 10.6084/m9.figshare.14411338
title: Additional file 2 of Sustainable forest biomass: a review of current residue harvesting guidelines

description: Additional file 2. Additional tables derived from reviews of guidelines.
DOI: 10.6084/m9.figshare.14443056
title: Additional file 1 of Sightings trends and behaviour of manta rays in Fernando de Noronha Archipelago, Brazil

description: Additional file 1: Table S1. FNA dataset. Database of manta ray sightings at FNA (January 2002 to November 2019). An auxiliary spreadsheet with detailed description of manta ray sightings, organized by date, species, pigmentation, gender, DW, maturity, behaviour, location, dive site, data acquisition, Id, and data relevant information, at Fernando de Noronha archipelago). Undefined patterns and characteristics were categorized as ‘Ud’. Table S2. Summary. Resume of the dataset of manta ray sightings at FNA (January 2003 to November 2019). An auxiliary spreadsheet with resumed information of manta ray sightings at FNA, organized by year and month, highlighting total sightings per month and year, with mean, standard deviation, and standard errors).
DOI: 10.6084/m9.figshare.14443056.v1
title: Additional file 1 of Sightings trends and behaviour of manta rays in Fernando de Noronha Archipelago, Brazil

description: Additional file 1: Table S1. FNA dataset. Database of manta ray sightings at FNA (January 2002 to November 2019). An auxiliary spreadsheet with detailed description of manta ray sightings, organized by date, species, pigmentation, gender, DW, maturity, behaviour, location, dive site, data acquisition, Id, and data relevant information, at Fernando de Noronha archipelago). Undefined patterns and characteristics were categorized as ‘Ud’. Table S2. Summary. Resume of the dataset of manta ray sightings at FNA (January 2003 to November 2019). An auxiliary spreadsheet with resumed information of manta ray sightings at FNA, organized by year and month, highlighting total sightings per month and year, with mean, standard deviation, and standard errors).
DOI: 10.6084/m9.figshare.14443084
title: Additional file 3 of Exploring the challenges and features of implementing performance-based payment plan in hospitals: a protocol for a systematic review

description: Additional file 3 Mixed Methods Appraisal Tool (MMAT) Version 2018.
DOI: 10.6084/m9.figshare.14443084.v1
title: Additional file 3 of Exploring the challenges and features of implementing performance-based payment plan in hospitals: a protocol for a systematic review

description: Additional file 3 Mixed Methods Appraisal Tool (MMAT) Version 2018.
DOI: 10.6084/m9.figshare.14443098
title: Additional file 1 of Birth companionship in a government health system: a pilot study in Kigoma, Tanzania

description: Additional file 1.
DOI: 10.6084/m9.figshare.14443098.v1
title: Additional file 1 of Birth companionship in a government health system: a pilot study in Kigoma, Tanzania

description: Additional file 1.
DOI: 10.6084/m9.figshare.14411386
title: Additional file 3 of Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey

description: Aggregated data of the variables presented in this study, i.e. threat perceptions of COVID-19, threat perceptions of influenza, confidence in organisations, and adoption rates of behaviours. (ZIP 24 kB)
DOI: 10.6084/m9.figshare.14411386.v1
title: Additional file 3 of Behaviours and attitudes in response to the COVID-19 pandemic: insights from a cross-national Facebook survey

description: Aggregated data of the variables presented in this study, i.e. threat perceptions of COVID-19, threat perceptions of influenza, confidence in organisations, and adoption rates of behaviours. (ZIP 24 kB)
DOI: 10.6084/m9.figshare.14443104
title: Additional file 2 of Effects of person-environment fit of gender-role orientation on burnout, engagement and hair steroids as stress biomarkers among women

description: Additional file 2:. Data collected and analyzed in the study.
DOI: 10.6084/m9.figshare.14443104.v1
title: Additional file 2 of Effects of person-environment fit of gender-role orientation on burnout, engagement and hair steroids as stress biomarkers among women

description: Additional file 2:. Data collected and analyzed in the study.
DOI: 10.6084/m9.figshare.14443110.v1
title: Additional file 2 of Human breast microbiome correlates with prognostic features and immunological signatures in breast cancer

description: Additional file 2: Table S1. Differentially abundant bacterial taxa according to clinicopathologic features (tissue type, TNM stage, histologic grade, histology).
DOI: 10.6084/m9.figshare.14443110
title: Additional file 2 of Human breast microbiome correlates with prognostic features and immunological signatures in breast cancer

description: Additional file 2: Table S1. Differentially abundant bacterial taxa according to clinicopathologic features (tissue type, TNM stage, histologic grade, histology).
DOI: 10.6084/m9.figshare.14443113
title: Additional file 3 of Human breast microbiome correlates with prognostic features and immunological signatures in breast cancer

description: Additional file 3: Table S2. Differentially expressed genes between tumor (n = 196) versus healthy control (n = 55) breast tissue. Inclusion criteria were |fold change| &gt; 2 and FDR
DOI: 10.6084/m9.figshare.14443113.v1
title: Additional file 3 of Human breast microbiome correlates with prognostic features and immunological signatures in breast cancer

description: Additional file 3: Table S2. Differentially expressed genes between tumor (n = 196) versus healthy control (n = 55) breast tissue. Inclusion criteria were |fold change| &gt; 2 and FDR
DOI: 10.6084/m9.figshare.14443128
title: Additional file 1 of What evidence exists on the impacts of flow variability on fish and macroinvertebrates of temperate floodplain rivers in Central and Western Europe? A systematic map protocol

description: Additional file 1. ROSES form for systematic map protocols.
DOI: 10.6084/m9.figshare.14443128.v1
title: Additional file 1 of What evidence exists on the impacts of flow variability on fish and macroinvertebrates of temperate floodplain rivers in Central and Western Europe? A systematic map protocol

description: Additional file 1. ROSES form for systematic map protocols.