cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17254044.v1
title: Additional file 1 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 1. Chromosomal localization of the PIP5K genes and gene duplication events.
DOI: 10.6084/m9.figshare.17254047
title: Additional file 2 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 2. The list of 52 pairs repetitive events in wheat PIP5K genes and its value of Ka, Ks, and Ka/Ks ratio.
DOI: 10.6084/m9.figshare.17254047.v1
title: Additional file 2 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 2. The list of 52 pairs repetitive events in wheat PIP5K genes and its value of Ka, Ks, and Ka/Ks ratio.
DOI: 10.6084/m9.figshare.17254050
title: Additional file 3 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 3. Collinearity data of the PIP5K genes in wheat to other four species.
DOI: 10.6084/m9.figshare.17254050.v1
title: Additional file 3 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 3. Collinearity data of the PIP5K genes in wheat to other four species.
DOI: 10.6084/m9.figshare.17254053.v1
title: Additional file 4 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 4. Details on cis-elements in the promoters of the PIP5K genes.
DOI: 10.6084/m9.figshare.17254056
title: Additional file 5 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 5. Expression data of TaPIP5Ks in different tissues obtained from RNA-seq in wheat.
DOI: 10.6084/m9.figshare.17254059.v1
title: Additional file 6 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 6. Detailed determination data for content of JA-ILE and OPDA.
DOI: 10.6084/m9.figshare.17254053
title: Additional file 4 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 4. Details on cis-elements in the promoters of the PIP5K genes.
DOI: 10.6084/m9.figshare.17254056.v1
title: Additional file 5 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 5. Expression data of TaPIP5Ks in different tissues obtained from RNA-seq in wheat.
DOI: 10.6084/m9.figshare.17254059
title: Additional file 6 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 6. Detailed determination data for content of JA-ILE and OPDA.
DOI: 10.6084/m9.figshare.17254062
title: Additional file 7 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 7. Details data of the qRT-PCR.
DOI: 10.6084/m9.figshare.17254062.v1
title: Additional file 7 of Genome-wide identification of PIP5K in wheat and its relationship with anther male sterility induced by high temperature

description: Additional file 7. Details data of the qRT-PCR.
DOI: 10.6084/m9.figshare.17254100
title: Additional file 2 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 2. H3K27ac peaks specific to before-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254100.v1
title: Additional file 2 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 2. H3K27ac peaks specific to before-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254103
title: Additional file 3 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 3. H3K27ac peaks specific to during-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254103.v1
title: Additional file 3 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 3. H3K27ac peaks specific to during-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254106.v1
title: Additional file 4 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 4. H3K27ac peaks common to both before- and during-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254106
title: Additional file 4 of Genome-wide identification of enhancers and transcription factors regulating the myogenic differentiation of bovine satellite cells

description: Additional file 4. H3K27ac peaks common to both before- and during-differentiation bovine satellite cells
DOI: 10.6084/m9.figshare.17254139.v1
title: Additional file 1 of Implementing a digital human resources management tool in the government health sector in Bangladesh: a policy content analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.17254139
title: Additional file 1 of Implementing a digital human resources management tool in the government health sector in Bangladesh: a policy content analysis

description: Additional file 1.
DOI: 10.6084/m9.figshare.17254236
title: Additional file 2 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 2: Table S1: TPM values of scRNA-Seq for patient-derived cell lines.
DOI: 10.6084/m9.figshare.17254236.v1
title: Additional file 2 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 2: Table S1: TPM values of scRNA-Seq for patient-derived cell lines.
DOI: 10.6084/m9.figshare.17254239
title: Additional file 3 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 3: Table S2: Cell clustering results of Sharma et al dataset. Table S3: Cell clustering results of Purum et al dataset.
DOI: 10.6084/m9.figshare.17254239.v1
title: Additional file 3 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 3: Table S2: Cell clustering results of Sharma et al dataset. Table S3: Cell clustering results of Purum et al dataset.
DOI: 10.6084/m9.figshare.17254242
title: Additional file 4 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 4: Table S4: ITTH score and drug response. Table S5: CIBERSORT's TCGA deconvolution. Table S6: CIBERSORT's signature matrix.
DOI: 10.6084/m9.figshare.17254242.v1
title: Additional file 4 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 4: Table S4: ITTH score and drug response. Table S5: CIBERSORT's TCGA deconvolution. Table S6: CIBERSORT's signature matrix.
DOI: 10.6084/m9.figshare.17254248
title: Additional file 5 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 5: Table S7: GDSC drug statistics. Table S8: GDSC cell lines.
DOI: 10.6084/m9.figshare.17254248.v1
title: Additional file 5 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 5: Table S7: GDSC drug statistics. Table S8: GDSC cell lines.
DOI: 10.6084/m9.figshare.17254254
title: Additional file 6 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 6: Table S9: Drug combinatorial prediction. Table S10: Monotherapy prediction.
DOI: 10.6084/m9.figshare.17254254.v1
title: Additional file 6 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 6: Table S9: Drug combinatorial prediction. Table S10: Monotherapy prediction.
DOI: 10.6084/m9.figshare.17254260
title: Additional file 7 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 7: Table S11: Drug dosages in experimental validation. Table S12: Experimental results of monotherapy. Table S13: Experimental results of drug combination
DOI: 10.6084/m9.figshare.17254260.v1
title: Additional file 7 of Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signatures

description: Additional file 7: Table S11: Drug dosages in experimental validation. Table S12: Experimental results of monotherapy. Table S13: Experimental results of drug combination
DOI: 10.6084/m9.figshare.17254332
title: Additional file 1 of Two pulse intrusive events of the Pliocene Tanigawa-dake granites revealed from zircon U–Pb dating

description: Additional file 1: Table S1. Analytical setting for zircon U–Pb dating.
DOI: 10.6084/m9.figshare.17254332.v1
title: Additional file 1 of Two pulse intrusive events of the Pliocene Tanigawa-dake granites revealed from zircon U–Pb dating

description: Additional file 1: Table S1. Analytical setting for zircon U–Pb dating.
DOI: 10.6084/m9.figshare.17254335
title: Additional file 2 of Two pulse intrusive events of the Pliocene Tanigawa-dake granites revealed from zircon U–Pb dating

description: Additional file 2: Table S2. Zircon U–Pb isotope data in this study.
DOI: 10.6084/m9.figshare.17254335.v1
title: Additional file 2 of Two pulse intrusive events of the Pliocene Tanigawa-dake granites revealed from zircon U–Pb dating

description: Additional file 2: Table S2. Zircon U–Pb isotope data in this study.
DOI: 10.6084/m9.figshare.17254337
title: Additional file 1 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 1: Table S1. WGS sample information. All whole-genome sequencing samples included in this study and their project and sample ids from the European Nucleotide Archive (ENA). In addition, the sex, breed and average read depth and insert size are provided.
DOI: 10.6084/m9.figshare.17254337.v1
title: Additional file 1 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 1: Table S1. WGS sample information. All whole-genome sequencing samples included in this study and their project and sample ids from the European Nucleotide Archive (ENA). In addition, the sex, breed and average read depth and insert size are provided.
DOI: 10.6084/m9.figshare.17254340.v1
title: Additional file 2 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 2: Table S2. Haplotype information. All haplotypes for the trio- and pgp-based approaches for the BS (A) and the OB population (B). The descriptive data include the type of analysis, genomic positions, number of expected and observed animals, haplotype frequency, p-value from exact tests of Hardy–Weinberg equilibrium and the adjusted p-value according to the Benjamini-Yekutieli procedure.
DOI: 10.6084/m9.figshare.17254340
title: Additional file 2 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 2: Table S2. Haplotype information. All haplotypes for the trio- and pgp-based approaches for the BS (A) and the OB population (B). The descriptive data include the type of analysis, genomic positions, number of expected and observed animals, haplotype frequency, p-value from exact tests of Hardy–Weinberg equilibrium and the adjusted p-value according to the Benjamini-Yekutieli procedure.
DOI: 10.6084/m9.figshare.17254343
title: Additional file 3 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 3: Table S3. Output of the haplotype analyses. Results of the estimation of the haplotype effect with different conformation, production and reproduction traits for the BS (A) and OB populations (B).
DOI: 10.6084/m9.figshare.17254343.v1
title: Additional file 3 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 3: Table S3. Output of the haplotype analyses. Results of the estimation of the haplotype effect with different conformation, production and reproduction traits for the BS (A) and OB populations (B).
DOI: 10.6084/m9.figshare.17254352.v1
title: Additional file 5 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 5: Table S4. GWAS results. Significant (p
DOI: 10.6084/m9.figshare.17254352
title: Additional file 5 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 5: Table S4. GWAS results. Significant (p
DOI: 10.6084/m9.figshare.17254355
title: Additional file 6 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 6: Table S5. Comprehensive list of candidate causal variants. The data for BS (A) and OB (B) are provided, with information regarding haplotypes and the potential candidate causal variants based on the reference sequence ARS-UCD1.2 [36] and the NCBI Annotation Release 106 [54], including variant effect predictions (siftScore [63] and MutPred2 score [64]) and base conservation scores (phyloP and phastCons [61, 62]). Furthermore, the genotype distributions across whole-genome sequencing and genotyping data are included.
DOI: 10.6084/m9.figshare.17254355.v1
title: Additional file 6 of Mining massive genomic data of two Swiss Braunvieh cattle populations reveals six novel candidate variants that impair reproductive success

description: Additional file 6: Table S5. Comprehensive list of candidate causal variants. The data for BS (A) and OB (B) are provided, with information regarding haplotypes and the potential candidate causal variants based on the reference sequence ARS-UCD1.2 [36] and the NCBI Annotation Release 106 [54], including variant effect predictions (siftScore [63] and MutPred2 score [64]) and base conservation scores (phyloP and phastCons [61, 62]). Furthermore, the genotype distributions across whole-genome sequencing and genotyping data are included.
DOI: 10.6084/m9.figshare.17254370
title: Additional file 2 of Accurate prediction of acute pancreatitis severity based on genome-wide cell free DNA methylation profiles

description: Additional file 2. Table S1. Clinical test results for all samples. Table S2. Patient characteristics. Table S3. The sequencing information. Table S4. Methylation markers selected for AP classification. Table S5. Functional enrichments for the AP biomarkers. Table S6. Methylation markers selected for MAP vs SAP classification. Table S7. Biomarkers used in the conventional test model. Table S8. Weight coefficients for the SAP predictive model with 12 clinical tests and methylation score.
DOI: 10.6084/m9.figshare.17254370.v1
title: Additional file 2 of Accurate prediction of acute pancreatitis severity based on genome-wide cell free DNA methylation profiles

description: Additional file 2. Table S1. Clinical test results for all samples. Table S2. Patient characteristics. Table S3. The sequencing information. Table S4. Methylation markers selected for AP classification. Table S5. Functional enrichments for the AP biomarkers. Table S6. Methylation markers selected for MAP vs SAP classification. Table S7. Biomarkers used in the conventional test model. Table S8. Weight coefficients for the SAP predictive model with 12 clinical tests and methylation score.
DOI: 10.6084/m9.figshare.17254374
title: Additional file 3 of QTL mapping of a Brazilian bioethanol strain links the cell wall protein-encoding gene GAS1 to low pH tolerance in S. cerevisiae

description: Additional file 3. GAS1 mutation profile of 1053 distinct Saccharomyces cerevisiae strains.
DOI: 10.6084/m9.figshare.17254374.v1
title: Additional file 3 of QTL mapping of a Brazilian bioethanol strain links the cell wall protein-encoding gene GAS1 to low pH tolerance in S. cerevisiae

description: Additional file 3. GAS1 mutation profile of 1053 distinct Saccharomyces cerevisiae strains.
DOI: 10.6084/m9.figshare.17254436
title: Additional file 4 of Blood pressure and risk of cancer: a Mendelian randomization study

description: Additional file 4: Supplementary Table S1. Genetic associations with systolic blood pressure, total and site-specific cancers. Supplementary Table S2. Genetic associations with diastolic blood pressure, total and site-specific cancers. Supplementary Table S3. Power calculations for total and site-specific cancers. Supplementary Table S4. Mendelian randomization estimates of systolic (per 10 mmHg increment) blood pressure on total and site-specific cancers. Supplementary Table S5. Mendelian randomization estimates of diastolic (per 5 mmHg increment) blood pressure on total and site-specific cancers. Supplementary Table S6. Mendelian randomization estimates of systolic (per 10 mmHg increment) and diastolic (per 5 mmHg increment) blood pressure on site-specific cancers in genetic consortia
DOI: 10.6084/m9.figshare.17254436.v1
title: Additional file 4 of Blood pressure and risk of cancer: a Mendelian randomization study

description: Additional file 4: Supplementary Table S1. Genetic associations with systolic blood pressure, total and site-specific cancers. Supplementary Table S2. Genetic associations with diastolic blood pressure, total and site-specific cancers. Supplementary Table S3. Power calculations for total and site-specific cancers. Supplementary Table S4. Mendelian randomization estimates of systolic (per 10 mmHg increment) blood pressure on total and site-specific cancers. Supplementary Table S5. Mendelian randomization estimates of diastolic (per 5 mmHg increment) blood pressure on total and site-specific cancers. Supplementary Table S6. Mendelian randomization estimates of systolic (per 10 mmHg increment) and diastolic (per 5 mmHg increment) blood pressure on site-specific cancers in genetic consortia
DOI: 10.6084/m9.figshare.17254451
title: Additional file 1 of COVID-19 vaccine hesitancy among the adult population in Ghana: evidence from a pre-vaccination rollout survey

description: Additional file 1. Table S1. Verbatim reasons cited for unwillingness to participate in a COVID-19 vaccine Trial.
DOI: 10.6084/m9.figshare.17254451.v1
title: Additional file 1 of COVID-19 vaccine hesitancy among the adult population in Ghana: evidence from a pre-vaccination rollout survey

description: Additional file 1. Table S1. Verbatim reasons cited for unwillingness to participate in a COVID-19 vaccine Trial.
DOI: 10.6084/m9.figshare.17253821
title: Small gene fusion simulated long read dataset

description: Sub-sampled long read simulation dataset. <br>
DOI: 10.25919/wr34-f818
title: Assessment of an indicator of community appreciation of biodiversity. Data package for the Biodiversity Indicator Program: First assessment

description: This data collection contains the data, processes and descriptions of workflows required to produce the community appreciation of biodiversity indicator, as used in the NSW Biodiversity Indicator Program Report card: Community appreciation of biodiversity, Supplement to the NSW Biodiversity Outlook Report, first assessment. The data set and analysis draws on the 2015 iteration of the ‘Who cares about the environment’ survey conducted by the Social Research Centre (a subsidiary of the Australian National University) on behalf of the then NSW Office of Environment and Heritage (OEH). Although not developed to measure Community appreciation of biodiversity, the survey included questions that were related to biodiversity that could be used to measure the indicator dimensions, that is, cognitive, affective, and behavioural appreciation of biodiversity. Details of the development of the Community appreciation of biodiversity indicator and the baseline test of it are available in ‘Assessment of an indicator of community appreciation of biodiversity’ technical report. See related links to these publications.
DOI: 10.5517/ccdc.csd.cc28qtpj
title: CCDC 2107308: Experimental Crystal Structure Determination

description: Related Article: Xie Han, DongDong Sun, Shi Tang, Yong Wu, Luyao Wang, Xiongzhi Zhang, Simin Liu|2021|J.Mater.Chem.C|9|17307|doi:10.1039/D1TC04433H
DOI: 10.5517/ccdc.csd.cc28qtqk
title: CCDC 2107309: Experimental Crystal Structure Determination

description: Related Article: Xie Han, DongDong Sun, Shi Tang, Yong Wu, Luyao Wang, Xiongzhi Zhang, Simin Liu|2021|J.Mater.Chem.C|9|17307|doi:10.1039/D1TC04433H
DOI: 10.5281/zenodo.5787660
title: Text of Wikisource pages of German magazine 'Die Gartenlaube'

description: Text of all Gartenlaube pages transcribed in German Wikisource. Text parsed on 2021-12-13, the output is combinend in separeted json files, each file per volume, starting 1853 and ending 1899. All 47 json files are compressed into one *.tar.xz file. The syntax of the json looks like: <pre><code class="language-json"> [{"pageid" : {PAGEID}, "title" : {PAGETITLE}, "lastrevid" : {REVISIONID}, "proofread" : {{JSON_OBJECT_Proofread_Status}} "html" : {HTML_OUTPUT}, "wikitext": {WIKI_MARKUP}, "plaintxt": {mwparserfromhell(WIKI_MARKUP).strip_code)} }]</code></pre>
DOI: 10.5281/zenodo.5787665
title: Text of Wikisource pages of German magazine 'Die Gartenlaube'

description: Text of all Gartenlaube pages transcribed in German Wikisource. Text parsed on 2021-12-13, the output is combinend in separeted json files, each file per volume, starting 1853 and ending 1899. All 47 json files are compressed into one *.tar.xz file. The syntax of the json looks like: <pre><code class="language-json"> [{"pageid" : {PAGEID}, "title" : {PAGETITLE}, "lastrevid" : {REVISIONID}, "proofread" : {{JSON_OBJECT_Proofread_Status}} "html" : {HTML_OUTPUT}, "wikitext": {WIKI_MARKUP}, "plaintxt": {mwparserfromhell(WIKI_MARKUP).strip_code)} }]</code></pre>
DOI: 10.5517/ccdc.csd.cc28v1nv
title: CCDC 2110407: Experimental Crystal Structure Determination

description: Related Article: Ying-Chen Peng, Zhi-Zhuan Zhang, Yang-Peng Lin, Jian-Ce Jin, Ting-Hui Zhuang, Liao-Kuo Gong, Ze-Ping Wang, Ke-Zhao Du, Xiao-Ying Huang|2021|Chem.Commun.|57|13784|doi:10.1039/D1CC05648D
DOI: 10.5517/ccdc.csd.cc28k1nk
title: CCDC 2101758: Experimental Crystal Structure Determination

description: Related Article: Ökten Üngör, Eun Sang Choi, Michael Shatruk|2021|Eur.J.Inorg.Chem.|2021|4812|doi:10.1002/ejic.202100707
DOI: 10.5517/ccdc.csd.cc28k1pl
title: CCDC 2101759: Experimental Crystal Structure Determination

description: Related Article: Ökten Üngör, Eun Sang Choi, Michael Shatruk|2021|Eur.J.Inorg.Chem.|2021|4812|doi:10.1002/ejic.202100707