cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8dpb5t6v3t.1
title: Data for: Performance improvement of inverted perovskite solar cells using TiO2 nanorod array and mesoporous structure
DOI: 10.17632/v2f99vg5zh.1
title: Data for: Light scattering from volcanic-sand particles in deposited and aerosol form

description: Laboratory measurements of the angular scattered-light intensity and degree of linear polarization from the volcanic sand. This is done with two experimental apparatuses, the Cosmic Dust Laboratory (CoDuLab) at the Institute de Astrofísica de Andalucía (IAA) and the goniospectropolarimeter (FIGIFIGO) at the Finnish Geospatial Research Institute (FGI). Two scattering-scenarios of practical interest for remote-sensing applications are considered: (1) single sand-particles suspended in aerosol as an optically thin cloud, and (2) the same particles deposited on a substrate.
DOI: 10.17632/d8r5kmd4m5.1
title: Data for: Population genomics revealed cryptic species within host-specific zombie-ant fungi (Ophiocordyceps unilateralis)
DOI: 10.17632/pwdmm7843d.4
title: Data for: Impact evaluation and conservation outcomes in marine protected areas: a case study of the Great Barrier Reef Marine Park.

description: Appendix data associated with the biological impact of the Great Barrier Reef Marine Park. Spreadsheet includes studies that have compared outcomes in no-take zones within the Marine Park, with fished areas. Includes evaluation data for how studies conducted within the Marine Park adhered to 6 key principles of impact evaluation.
DOI: 10.6084/m9.figshare.12270248
title: Additional file 1 of Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

description: Additional file 1: Table S1. Quantitative protein expression data from MACS-enriched and FACS-isolated mouse microglia. Log2 transformed protein abundance data and differential expression analysis.
DOI: 10.6084/m9.figshare.12270257.v1
title: Additional file 2 of Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

description: Additional file 2: Table S2. GO Elite analysis of 953 significantly differentially expressed proteins between MACS-enriched and FACS-isolated mouse microglia proteomes.
DOI: 10.6084/m9.figshare.12270248.v1
title: Additional file 1 of Flow-cytometric microglial sorting coupled with quantitative proteomics identifies moesin as a highly-abundant microglial protein with relevance to Alzheimer’s disease

description: Additional file 1: Table S1. Quantitative protein expression data from MACS-enriched and FACS-isolated mouse microglia. Log2 transformed protein abundance data and differential expression analysis.
DOI: 10.6084/m9.figshare.12270239
title: Additional file 3 of Practice guidelines on migrants’ health: assessment of their quality and reporting

description: Additional file 3. Percentage of the eligible guidelines meeting each of the Reporting Items for practice Guidelines in HealThcare (RIGHT) items.
DOI: 10.6084/m9.figshare.12270239.v1
title: Additional file 3 of Practice guidelines on migrants’ health: assessment of their quality and reporting

description: Additional file 3. Percentage of the eligible guidelines meeting each of the Reporting Items for practice Guidelines in HealThcare (RIGHT) items.
DOI: 10.6084/m9.figshare.12270161
title: Additional file 1 of Common biochemical properties of metabolic genes recurrently dysregulated in tumors

description: Additional file 1: Table S1. Features. Table S2. Summary. Table S3. Differential expression prediction. Table S4. Copy number variation prediction. Table S5. Survival prediction. Table S6. Leave-one-feature-out. Table S7. Leave-one-cell-line-out. Table S8. Area under the receiver operating characteristic curve. Table S9. Hazard ratio check. Table S10. Breast Cancer. Table S11. Melanoma. Table S12. Lung Cancer. Table S13. B-cell lymphoma. Table S14. Ovarian Cancer. Table S15. Colorectal Cancer. Table S16. Renal Cancer. Table S17. Glioma. Table S18. Prostate Cancer.
DOI: 10.6084/m9.figshare.12270161.v1
title: Additional file 1 of Common biochemical properties of metabolic genes recurrently dysregulated in tumors

description: Additional file 1: Table S1. Features. Table S2. Summary. Table S3. Differential expression prediction. Table S4. Copy number variation prediction. Table S5. Survival prediction. Table S6. Leave-one-feature-out. Table S7. Leave-one-cell-line-out. Table S8. Area under the receiver operating characteristic curve. Table S9. Hazard ratio check. Table S10. Breast Cancer. Table S11. Melanoma. Table S12. Lung Cancer. Table S13. B-cell lymphoma. Table S14. Ovarian Cancer. Table S15. Colorectal Cancer. Table S16. Renal Cancer. Table S17. Glioma. Table S18. Prostate Cancer.
DOI: 10.6084/m9.figshare.12270119
title: Additional file 1 of Response to a DNA vaccine against the H5N1 virus depending on the chicken line and number of doses

description: Additional file 1 Tables S1-S7. Table S1. Complete list of genes differentially regulated in chickens from the Ross [2x] group in comparison with chickens from the corresponding control group. Table S2. Complete list of genes differentially regulated in WL [2x] chickens in comparison with chickens from the respective control group. Table S3. Complete list of genes differentially regulated in chickens from the Rosa [2x] group in comparison with chickens from the respective control group. Table S4. Complete list of genes differentially regulated in chickens from the Rosa [1x] group in comparison with chickens from the respective control group. Table S5. Differentially expressed genes present in at least two groups of immunized chickens. Table S6. List of RNA-encoding DEGs. ‘U’ and ‘D’ means that indicated sequence was recognized as up- and down-regulated, respectively. Table S7. List of DEGs connected to the neuroendocrine-immune system. ‘Imm’, ‘N’ and ‘E’ in ‘System part’ column indicate function of the gene connected to the immune, neurological and endocrinological part of neuroendocrine-immune system, respectively.
DOI: 10.6084/m9.figshare.12270122
title: Additional file 1 of Amorphous SiO2 nanoparticles promote cardiac dysfunction via the opening of the mitochondrial permeability transition pore in rat heart and human cardiomyocytes

description: Additional file 1: Supplementary Figure 1. Perfusion for 30 min with nanoSiO2 did not cause structural alterations or inflammation in the heart apex. H&E staining of: A) untreated, B) 40 μg/mL nanoSiO2 perfusion, and C) 200 μg/mL nanoSiO2 perfusion. Supplementary Figure 2. nanoSiO2 accumulates in mitochondria from ventricle myocytes. Representative TEM micrograph of mitochondria showing swelling and its assessment by TEM-EDS from: (A) untreated rat CMs, (B) nanoSiO2 exposed rat CMs. (C) Quantification of Si content from EDS spectra.
DOI: 10.6084/m9.figshare.12270119.v1
title: Additional file 1 of Response to a DNA vaccine against the H5N1 virus depending on the chicken line and number of doses

description: Additional file 1 Tables S1-S7. Table S1. Complete list of genes differentially regulated in chickens from the Ross [2x] group in comparison with chickens from the corresponding control group. Table S2. Complete list of genes differentially regulated in WL [2x] chickens in comparison with chickens from the respective control group. Table S3. Complete list of genes differentially regulated in chickens from the Rosa [2x] group in comparison with chickens from the respective control group. Table S4. Complete list of genes differentially regulated in chickens from the Rosa [1x] group in comparison with chickens from the respective control group. Table S5. Differentially expressed genes present in at least two groups of immunized chickens. Table S6. List of RNA-encoding DEGs. ‘U’ and ‘D’ means that indicated sequence was recognized as up- and down-regulated, respectively. Table S7. List of DEGs connected to the neuroendocrine-immune system. ‘Imm’, ‘N’ and ‘E’ in ‘System part’ column indicate function of the gene connected to the immune, neurological and endocrinological part of neuroendocrine-immune system, respectively.
DOI: 10.6084/m9.figshare.12270122.v1
title: Additional file 1 of Amorphous SiO2 nanoparticles promote cardiac dysfunction via the opening of the mitochondrial permeability transition pore in rat heart and human cardiomyocytes

description: Additional file 1: Supplementary Figure 1. Perfusion for 30 min with nanoSiO2 did not cause structural alterations or inflammation in the heart apex. H&E staining of: A) untreated, B) 40 μg/mL nanoSiO2 perfusion, and C) 200 μg/mL nanoSiO2 perfusion. Supplementary Figure 2. nanoSiO2 accumulates in mitochondria from ventricle myocytes. Representative TEM micrograph of mitochondria showing swelling and its assessment by TEM-EDS from: (A) untreated rat CMs, (B) nanoSiO2 exposed rat CMs. (C) Quantification of Si content from EDS spectra.
DOI: 10.6084/m9.figshare.12270089
title: Additional file 2 of Role of community pharmacists in weight management: results of a national study in Lebanon

description: Additional file 2.
DOI: 10.6084/m9.figshare.12270089.v1
title: Additional file 2 of Role of community pharmacists in weight management: results of a national study in Lebanon

description: Additional file 2.
DOI: 10.6084/m9.figshare.12270047
title: Additional file 3 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 3 Significantly differentially expressed proteins (p
DOI: 10.6084/m9.figshare.12270044
title: Additional file 2 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 2. Clinical features of patients with SSc and histological features of SSc skin biopsy samples.
DOI: 10.6084/m9.figshare.12270038
title: Additional file 1 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 1. MRM transitions used for the selected proteins analysis. This table shows the selected proteins/peptides for validation and the instrumental parameters used for peptide monitoring. Peptides highlighted in bold were used as the quantitative reference whereas the remaining peptides were used as qualitative references.
DOI: 10.6084/m9.figshare.12270047.v1
title: Additional file 3 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 3 Significantly differentially expressed proteins (p
DOI: 10.6084/m9.figshare.12270044.v1
title: Additional file 2 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 2. Clinical features of patients with SSc and histological features of SSc skin biopsy samples.
DOI: 10.6084/m9.figshare.12270038.v1
title: Additional file 1 of Comparative analysis of affected and unaffected areas of systemic sclerosis skin biopsies by high-throughput proteomic approaches

description: Additional file 1. MRM transitions used for the selected proteins analysis. This table shows the selected proteins/peptides for validation and the instrumental parameters used for peptide monitoring. Peptides highlighted in bold were used as the quantitative reference whereas the remaining peptides were used as qualitative references.
DOI: 10.6084/m9.figshare.12270023
title: Additional file 3 of Epidemiology of Taenia saginata taeniosis/cysticercosis: a systematic review of the distribution in East, Southeast and South Asia

description: Additional file 3: Data S1. Data analysis of collected reports.
DOI: 10.6084/m9.figshare.12270014
title: Additional file 2 of Epidemiology of Taenia saginata taeniosis/cysticercosis: a systematic review of the distribution in East, Southeast and South Asia

description: Additional file 2: Text S1. Databases for the literature research.
DOI: 10.6084/m9.figshare.12270023.v1
title: Additional file 3 of Epidemiology of Taenia saginata taeniosis/cysticercosis: a systematic review of the distribution in East, Southeast and South Asia

description: Additional file 3: Data S1. Data analysis of collected reports.
DOI: 10.6084/m9.figshare.12270014.v1
title: Additional file 2 of Epidemiology of Taenia saginata taeniosis/cysticercosis: a systematic review of the distribution in East, Southeast and South Asia

description: Additional file 2: Text S1. Databases for the literature research.
DOI: 10.6084/m9.figshare.12269996
title: Additional file 1 of Transcriptomic and physiological analyses of rice seedlings under different nitrogen supplies provide insight into the regulation involved in axillary bud outgrowth

description: Additional file 1: Table S1. The statistics of reads count of the RNA-seq data. Table S2. The primers used in our study. Table S3. The expression levels of all expressed genes and DEGs. Figure S1. Expression correlation between samples of RNA-seq. (a) Principal component analysis (PCA) shows tissue and N concentration specific samples (with repetition). Ab stands for axillary bud, Bp stands for basal part. (b) Expression correlations between two samples reveals the difference between axillary bud and basal part, and between different N concentrations. _1 and _2 stands for two repetitions. Figure S2. Specific and common genes between basal part and axillary bud under low N and high N conditions. (a) Venn diagram showing the overlaps among responsive genes in basal part and axillary bud under low and high N conditions. (b) The number of total and specific DEGs and TF genes in the four datasets shown in (a). (c) The common gene numbers between axillary bud and basal part under low N and high N conditions. Figure S3. Enriched GO terms within the category of cellular component (a) and molecular function (b) for DEGs in the ten expression patterns (B01-B09) in Fig. 4b. Only significant go terms (false discovery rate (FDR) 2 and padj
DOI: 10.6084/m9.figshare.12269987
title: Additional file 1 of Evaluation of a method to retrieve temperature and wind velocity profiles of the Venusian nightside mesosphere from mid-infrared CO2 absorption line observed by heterodyne spectroscopy

description: Additional file 1. Figure S1. Five model spectra including white noise with the RMS of 0.5 erg/s/cm2/sr/cm−1. Other symbols are the same as those in Fig. 1. Figure S2. Standard deviations for the (a) temperature and (b) wind velocity in the retrieval results from the five model spectra shown in Figure S1. Other symbols are the same as those in Fig. 4. Figure S3. Five model spectra including white noise with the RMS of 1.5 erg/s/cm2/sr/cm−1. Other symbols are the same as those in Fig. 1. Figure S4. Standard deviations for the (a) temperature and (b) wind velocity in the retrieval results from the five model spectra shown in Figure S3. Other symbols are the same as those in Fig. 4.
DOI: 10.6084/m9.figshare.12269990
title: Additional file 7 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 7. Permutation matrix file. Permutation matrix file generated from MAUVE progressive alignment containing information about total LCB blocks observed during alignment generated and their relative position in each genome.
DOI: 10.6084/m9.figshare.12269996.v1
title: Additional file 1 of Transcriptomic and physiological analyses of rice seedlings under different nitrogen supplies provide insight into the regulation involved in axillary bud outgrowth

description: Additional file 1: Table S1. The statistics of reads count of the RNA-seq data. Table S2. The primers used in our study. Table S3. The expression levels of all expressed genes and DEGs. Figure S1. Expression correlation between samples of RNA-seq. (a) Principal component analysis (PCA) shows tissue and N concentration specific samples (with repetition). Ab stands for axillary bud, Bp stands for basal part. (b) Expression correlations between two samples reveals the difference between axillary bud and basal part, and between different N concentrations. _1 and _2 stands for two repetitions. Figure S2. Specific and common genes between basal part and axillary bud under low N and high N conditions. (a) Venn diagram showing the overlaps among responsive genes in basal part and axillary bud under low and high N conditions. (b) The number of total and specific DEGs and TF genes in the four datasets shown in (a). (c) The common gene numbers between axillary bud and basal part under low N and high N conditions. Figure S3. Enriched GO terms within the category of cellular component (a) and molecular function (b) for DEGs in the ten expression patterns (B01-B09) in Fig. 4b. Only significant go terms (false discovery rate (FDR) 2 and padj
DOI: 10.6084/m9.figshare.12269984
title: Additional file 6 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 6. BLAST ATLAS. List of genes identified during BLAST ATLAS genome comparison with reference genome Tohama-I.
DOI: 10.6084/m9.figshare.12269987.v1
title: Additional file 1 of Evaluation of a method to retrieve temperature and wind velocity profiles of the Venusian nightside mesosphere from mid-infrared CO2 absorption line observed by heterodyne spectroscopy

description: Additional file 1. Figure S1. Five model spectra including white noise with the RMS of 0.5 erg/s/cm2/sr/cm−1. Other symbols are the same as those in Fig. 1. Figure S2. Standard deviations for the (a) temperature and (b) wind velocity in the retrieval results from the five model spectra shown in Figure S1. Other symbols are the same as those in Fig. 4. Figure S3. Five model spectra including white noise with the RMS of 1.5 erg/s/cm2/sr/cm−1. Other symbols are the same as those in Fig. 1. Figure S4. Standard deviations for the (a) temperature and (b) wind velocity in the retrieval results from the five model spectra shown in Figure S3. Other symbols are the same as those in Fig. 4.
DOI: 10.6084/m9.figshare.12269990.v1
title: Additional file 7 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 7. Permutation matrix file. Permutation matrix file generated from MAUVE progressive alignment containing information about total LCB blocks observed during alignment generated and their relative position in each genome.
DOI: 10.6084/m9.figshare.12269984.v1
title: Additional file 6 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 6. BLAST ATLAS. List of genes identified during BLAST ATLAS genome comparison with reference genome Tohama-I.
DOI: 10.6084/m9.figshare.12269966
title: Additional file 4 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 4. cgMLST Analysis. Table describing allelic profile observed for total 2038 genes with locus of each gene, allele number, and length of the gene, contigs number and starts, and end position of each gene observed in respective strain.
DOI: 10.6084/m9.figshare.12269975
title: Additional file 5 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 5. List of genes absent and duplicated in strains. List of duplicated genes observed in the vaccine (J445, J4445, J446, J448, and BP165) and clinical strains (BPD1, BPD2) as compared to the reference strain. Table describing genes duplicated in particular strain (Highlighted part) with contig number, start and end position of genes, total length, and gene product with subsystem annotation.
DOI: 10.6084/m9.figshare.12269966.v1
title: Additional file 4 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 4. cgMLST Analysis. Table describing allelic profile observed for total 2038 genes with locus of each gene, allele number, and length of the gene, contigs number and starts, and end position of each gene observed in respective strain.
DOI: 10.6084/m9.figshare.12269975.v1
title: Additional file 5 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 5. List of genes absent and duplicated in strains. List of duplicated genes observed in the vaccine (J445, J4445, J446, J448, and BP165) and clinical strains (BPD1, BPD2) as compared to the reference strain. Table describing genes duplicated in particular strain (Highlighted part) with contig number, start and end position of genes, total length, and gene product with subsystem annotation.
DOI: 10.6084/m9.figshare.12269960
title: Additional file 3 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 3. Genomic island region observed for B. pertussis vaccine strains. List and details of all GI regions observed with coded genes information for strains (J445, J4445, J446, J448, and BP165) and clinical strains (BPD1, BPD2). Table describing the list of genes observed in each genomic island with a total length of island region (bp), start and end region, a gene present in particular island, Gene start and gene end, and product expressed by a particular gene.
DOI: 10.6084/m9.figshare.12269951
title: Additional file 5 of Which interactions matter in economic evaluations? A systematic review and simulation study

description: Additional file 5. Data inputs used in the simulation study. Data are provided in a format that is imported by the Stata code given in Additional file 3.
DOI: 10.6084/m9.figshare.12269954
title: Additional file 2 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 2. Mobile genetic elements (Insertion Sequences, Prophages) identified in the Bordetella vaccine and clinical strains. Insertion sequences identified in eight B. pertussis vaccine strains (J445, J4445, J446, J448, BP165) and clinical strains (BPD1, BPD2) and reference strain Tohama-I using IS Finder with describing details about blast matched values, e values and IS families. The second sheet listing phage regions identified in all strains. Details of phage region with its nature and sequence are described in the last sheet.
DOI: 10.6084/m9.figshare.12269960.v1
title: Additional file 3 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 3. Genomic island region observed for B. pertussis vaccine strains. List and details of all GI regions observed with coded genes information for strains (J445, J4445, J446, J448, and BP165) and clinical strains (BPD1, BPD2). Table describing the list of genes observed in each genomic island with a total length of island region (bp), start and end region, a gene present in particular island, Gene start and gene end, and product expressed by a particular gene.
DOI: 10.6084/m9.figshare.12269951.v1
title: Additional file 5 of Which interactions matter in economic evaluations? A systematic review and simulation study

description: Additional file 5. Data inputs used in the simulation study. Data are provided in a format that is imported by the Stata code given in Additional file 3.
DOI: 10.6084/m9.figshare.12269954.v1
title: Additional file 2 of Comparative genomics of whole-cell pertussis vaccine strains from India

description: Additional file 2. Mobile genetic elements (Insertion Sequences, Prophages) identified in the Bordetella vaccine and clinical strains. Insertion sequences identified in eight B. pertussis vaccine strains (J445, J4445, J446, J448, BP165) and clinical strains (BPD1, BPD2) and reference strain Tohama-I using IS Finder with describing details about blast matched values, e values and IS families. The second sheet listing phage regions identified in all strains. Details of phage region with its nature and sequence are described in the last sheet.