cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21102385
title: Additional file 14 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 14: Table S2. Absolute organ weights in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102385.v1
title: Additional file 14 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 14: Table S2. Absolute organ weights in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102388
title: Additional file 15 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 15: Table S3. Relative organ weights in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102388.v1
title: Additional file 15 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 15: Table S3. Relative organ weights in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102391
title: Additional file 16 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 16: Table S4. Blood-hematologic data in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102391.v1
title: Additional file 16 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 16: Table S4. Blood-hematologic data in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102394
title: Additional file 17 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 17: Table S5.. Blood-biochemistry data in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102394.v1
title: Additional file 17 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 17: Table S5.. Blood-biochemistry data in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102397
title: Additional file 18 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 18: Table S6. Histopathological findings, excluding lung and mediastinal lymph node, in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102397.v1
title: Additional file 18 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 18: Table S6. Histopathological findings, excluding lung and mediastinal lymph node, in the 13-week inhalation exposure study.
DOI: 10.6084/m9.figshare.21102400
title: Additional file 19 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 19: Table S7. Calculation of benchmark doses (BMD) for pulmonary dust foci (PDF) using EPA's Benchmark Dose Software (BMDS 3.2)
DOI: 10.6084/m9.figshare.21102400.v1
title: Additional file 19 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 19: Table S7. Calculation of benchmark doses (BMD) for pulmonary dust foci (PDF) using EPA's Benchmark Dose Software (BMDS 3.2)
DOI: 10.6084/m9.figshare.21102406
title: Additional file 20 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 20: Table S8. Calculation of the internal lung dose using the MPPD particle deposition model ver. 3.04.
DOI: 10.6084/m9.figshare.21102406.v1
title: Additional file 20 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 20: Table S8. Calculation of the internal lung dose using the MPPD particle deposition model ver. 3.04.
DOI: 10.6084/m9.figshare.21102409
title: Additional file 21 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 21: Table S9. Calculation of human inhalation exposure concentrations by conversion from benchmark dose lower confidence limits for rat PDF lesions.
DOI: 10.6084/m9.figshare.21102409.v1
title: Additional file 21 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 21: Table S9. Calculation of human inhalation exposure concentrations by conversion from benchmark dose lower confidence limits for rat PDF lesions.
DOI: 10.6084/m9.figshare.21102415
title: Additional file 22 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 22: Table S10. Summary of the effect of inhalation exposure to TiO2 (the present study) and ultrafine TiO2 particles (P25) on LDH activity.
DOI: 10.6084/m9.figshare.21102415.v1
title: Additional file 22 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 22: Table S10. Summary of the effect of inhalation exposure to TiO2 (the present study) and ultrafine TiO2 particles (P25) on LDH activity.
DOI: 10.6084/m9.figshare.21102418
title: Additional file 23 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 23: Table S11. Characteristics of TiO2 NP used in this study.
DOI: 10.6084/m9.figshare.21102418.v1
title: Additional file 23 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 23: Table S11. Characteristics of TiO2 NP used in this study.
DOI: 10.6084/m9.figshare.21102421
title: Additional file 24 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 24: Table S12. List of primary antibodies used in this study.
DOI: 10.6084/m9.figshare.21102421.v1
title: Additional file 24 of Pulmonary dust foci as rat pneumoconiosis lesion induced by titanium dioxide nanoparticles in 13-week inhalation study

description: Additional file 24: Table S12. List of primary antibodies used in this study.
DOI: 10.6084/m9.figshare.21102407
title: Additional file 10 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 10 Figure S10. Mixed infections of viruses confirmed by Sanger sequencing in field-grown soybean plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all samples identified with mixed infections. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and subsequently used in this study
DOI: 10.6084/m9.figshare.21102407.v1
title: Additional file 10 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 10 Figure S10. Mixed infections of viruses confirmed by Sanger sequencing in field-grown soybean plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all samples identified with mixed infections. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and subsequently used in this study
DOI: 10.6084/m9.figshare.21102410
title: Additional file 11 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 11 Table S1. Sample location, year collected, associated symptoms, and viruses identified with their assigned GenBank accession numbers in field-grown soybean across the United States of America
DOI: 10.6084/m9.figshare.21102410.v1
title: Additional file 11 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 11 Table S1. Sample location, year collected, associated symptoms, and viruses identified with their assigned GenBank accession numbers in field-grown soybean across the United States of America
DOI: 10.6084/m9.figshare.21102416
title: Additional file 12 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 12 Table S2. Sample location and virus sequence identified from field-grown soybean samples collected across the United States of America. The viruses were identified from the all-organism NCBI nucleotide and protein databases through BLASTN and BLASTX searches using Blastplus v2.7.1. The virus identified for each sample had high percent nucleotide identity (&gt; 99%) to the corresponding virus isolates identified in this study
DOI: 10.6084/m9.figshare.21102419
title: Additional file 13 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 13 Table S3. Primers used in this study
DOI: 10.6084/m9.figshare.21102419.v1
title: Additional file 13 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 13 Table S3. Primers used in this study
DOI: 10.6084/m9.figshare.21102422
title: Additional file 14 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 14 Table S4. Summary of sequencing and virus genome assembly results from field-grown soybean samples collected from 2016-2019 across the United States of America
DOI: 10.6084/m9.figshare.21102422.v1
title: Additional file 14 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 14 Table S4. Summary of sequencing and virus genome assembly results from field-grown soybean samples collected from 2016-2019 across the United States of America
DOI: 10.6084/m9.figshare.21102425
title: Additional file 15 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 15 Table S5. Virus genome BLAST alignment results from field-grown soybean samples collected from 2016-2019 growing seasons across the United States of America
DOI: 10.6084/m9.figshare.21102416.v1
title: Additional file 12 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 12 Table S2. Sample location and virus sequence identified from field-grown soybean samples collected across the United States of America. The viruses were identified from the all-organism NCBI nucleotide and protein databases through BLASTN and BLASTX searches using Blastplus v2.7.1. The virus identified for each sample had high percent nucleotide identity (&gt; 99%) to the corresponding virus isolates identified in this study
DOI: 10.6084/m9.figshare.21102425.v1
title: Additional file 15 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 15 Table S5. Virus genome BLAST alignment results from field-grown soybean samples collected from 2016-2019 growing seasons across the United States of America
DOI: 10.6084/m9.figshare.21102431
title: Additional file 17 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 17 Table S7. Percent (A) nucleotide and (B) amino acid sequence identities of nucleocapsid protein (NP) gene of 8 SVNV isolates identified in this study. The NP genes of 8 isolates are IN-1-2016. IN-2-2016, IN-3-2016, DE-2016, MD-2016, AL-1-2016, AL-2-2016, and AL-3-2016. The NP genes of KY29, KY34, KY35, KY43, KY44, KY102, KY105, KY108, KY112, KY113, KY115, KY117, KY124 (GenBank accession numbers KJ955706 to KJ955718), SVNaV-TN isolate (GenBank accession number HQ728387), and Milan_TN isolate (GenBank accession number GU722319.1) were used for comparison with the 8 SVNV isolates identified in this study
DOI: 10.6084/m9.figshare.21102431.v1
title: Additional file 17 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 17 Table S7. Percent (A) nucleotide and (B) amino acid sequence identities of nucleocapsid protein (NP) gene of 8 SVNV isolates identified in this study. The NP genes of 8 isolates are IN-1-2016. IN-2-2016, IN-3-2016, DE-2016, MD-2016, AL-1-2016, AL-2-2016, and AL-3-2016. The NP genes of KY29, KY34, KY35, KY43, KY44, KY102, KY105, KY108, KY112, KY113, KY115, KY117, KY124 (GenBank accession numbers KJ955706 to KJ955718), SVNaV-TN isolate (GenBank accession number HQ728387), and Milan_TN isolate (GenBank accession number GU722319.1) were used for comparison with the 8 SVNV isolates identified in this study
DOI: 10.6084/m9.figshare.21102443
title: Additional file 4 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 4 Figure S4. Plant viruses confirmed by Sanger sequencing in field grown soybean plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in 78 field samples. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and the primers were used in this study.
DOI: 10.6084/m9.figshare.21102443.v1
title: Additional file 4 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 4 Figure S4. Plant viruses confirmed by Sanger sequencing in field grown soybean plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in 78 field samples. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and the primers were used in this study.
DOI: 10.6084/m9.figshare.21102449
title: Additional file 6 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 6 Figure S6. ClYVV-IA-2016 and ClYVV-IA-2017 confirmed by Sanger sequencing in green house grown N. benthamiana, soybean, and broad bean infected plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all 18 samples including mock-inoculated controls. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and the primers were used in this study
DOI: 10.6084/m9.figshare.21102449.v1
title: Additional file 6 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 6 Figure S6. ClYVV-IA-2016 and ClYVV-IA-2017 confirmed by Sanger sequencing in green house grown N. benthamiana, soybean, and broad bean infected plants. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all 18 samples including mock-inoculated controls. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and the primers were used in this study
DOI: 10.6084/m9.figshare.21102458
title: Additional file 9 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 9 Figure S9. Tobacco ringspot virus (TRSV) sequences confirmed by Sanger sequencing in green house grown N. benthamiana, and soybean infected plants following mechanical inoculation. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all 6 samples including mock-inoculated controls. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and subsequently used in this study
DOI: 10.6084/m9.figshare.21102458.v1
title: Additional file 9 of Detection and discovery of plant viruses in soybean by metagenomic sequencing

description: Additional file 9 Figure S9. Tobacco ringspot virus (TRSV) sequences confirmed by Sanger sequencing in green house grown N. benthamiana, and soybean infected plants following mechanical inoculation. Reverse transcription-polymerase chain reaction (RT-PCR) was performed in all 6 samples including mock-inoculated controls. The PCR products were visualized in a 1% agarose gel electrophoresis containing SYBR Safe DNA gel stain. The PCR products were cleaned using ExoSAP-IT PCR product cleanup reagent and sequenced on Sanger sequencing platform. Primer sequences were designed using Primer3 plus from assembled contigs and subsequently used in this study
DOI: 10.5281/zenodo.7077622
title: Datasets of Park et al.,Meas. Sci. Technol. 33 115019 (2022), "Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology" by Jaesung Park, Kyung-Geun Lim and Dong-Hun Chae, Meas. Sci. Technol. 33 (2022) 115019, DOI: 10.1088/1361-6501/ac8222
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.5281/zenodo.7077621
title: Datasets of Park et al.,Meas. Sci. Technol. 33 115019 (2022), "Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology"

description: Compilation of the datasets used to generate the figures in the following journal publication: "Glass encapsulation of molecular-doped epitaxial graphene for quantum resistance metrology" by Jaesung Park, Kyung-Geun Lim and Dong-Hun Chae, Meas. Sci. Technol. 33 (2022) 115019, DOI: 10.1088/1361-6501/ac8222
description: This work was supported in part by the Joint Research Project GIQS (18SIB07). This project received funding from the European Metrology programme for Innovation and Research (EMPIR) co-financed by the Participating States and from the European Unions' Horizon 2020 research and innovation programme. Funder ID: 10.13039/100014132, Grant no: 18SIB07 GIQS.
DOI: 10.25375/uct.16438842
title: Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context

description: Research Question 1 focuses on how policies on infection prevention and control (IPC) for drug-resistant tuberculosis (DR-TB) evolved and have been implemented in the content of primary health care reforms in South Africa. This study focuses on policy actor perspectives on the underlying drivers of TB-IPC policy implementation. It is part of a larger project entitled: Umoya Omuhle - Infection Prevention and Control for Drug-Resistant Tuberculosis in South Africa in the Era of Decentralised Care: A Whole Systems Approach. The data was collected in South Africa, Switzerland, Boston, London from 2018-2020.
DOI: 10.25375/uct.16438842.v1
title: Infection prevention and control for drug-resistant tuberculosis in South Africa in the era of decentralised care: A whole systems approach. Research Question 1 - describe IPC policy and systems context

description: Research Question 1 focuses on how policies on infection prevention and control (IPC) for drug-resistant tuberculosis (DR-TB) evolved and have been implemented in the content of primary health care reforms in South Africa. This study focuses on policy actor perspectives on the underlying drivers of TB-IPC policy implementation. It is part of a larger project entitled: Umoya Omuhle - Infection Prevention and Control for Drug-Resistant Tuberculosis in South Africa in the Era of Decentralised Care: A Whole Systems Approach. The data was collected in South Africa, Switzerland, Boston, London from 2018-2020.
DOI: 10.6084/m9.figshare.20390754
title: Comparative analysis of intestinal microbiota composition and transcriptome in diploid and triploid Carassius auratus

description: The data were important for analysis of 16S rRNA and mRNA sequencing in diploid and triploid <em>Carassius auratus</em>.
DOI: 10.6084/m9.figshare.20390754.v5
title: Comparative analysis of intestinal microbiota composition and transcriptome in diploid and triploid Carassius auratus

description: The data were important for analysis of 16S rRNA and mRNA sequencing in diploid and triploid <em>Carassius auratus</em>.
DOI: 10.6084/m9.figshare.20390754.v4
title: Comparative analysis of intestinal microbiota composition and transcriptome in diploid and triploid Carassius auratus

description: The data were important for analysis of 16S rRNA and mRNA sequencing in diploid and triploid <em>Carassius auratus</em>.
DOI: 10.6084/m9.figshare.21102691
title: Ecotoxicity and risk of the new rice insecticide tetrachlorantraniliprole on zooplankton in simulated ecosystemshen

description: <strong>Dataset of Ecotoxicity and risk of the new rice insecticide tetrachlorantraniliprole on zooplankton in simulated ecosystemshen</strong>
DOI: 10.6084/m9.figshare.21102691.v1
title: Ecotoxicity and risk of the new rice insecticide tetrachlorantraniliprole on zooplankton in simulated ecosystemshen

description: <strong>Dataset of Ecotoxicity and risk of the new rice insecticide tetrachlorantraniliprole on zooplankton in simulated ecosystemshen</strong>
DOI: 10.6084/m9.figshare.21102688
title: CR atac bigwigs

description: a bigwig atacseq and rnaseq file for CR celltype
DOI: 10.6084/m9.figshare.21102688.v2
title: CR atac bigwigs

description: a bigwig atacseq and rnaseq file for CR celltype
DOI: 10.6084/m9.figshare.21102688.v1
title: CR bigwigs

description: a bigwig atacseq and rnaseq file for CR celltype
DOI: 10.34740/kaggle/dsv/4202243
title: CO2 Emission by countries Year wise (1750-2022)