cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/1416f19219e3824de0c372a143a73f3e
title: HURRECON Model for Estimating Hurricane Wind Speed, Direction, and Damage (R and Python)

description: The HURRECON model estimates wind speed, wind direction, enhanced Fujita scale wind damage, and duration of EF0 to EF5 winds as a function of hurricane location and maximum sustained wind speed. Results may be generated for a single site or an entire region. Hurricane track and intensity data may be imported directly from the US National Hurricane Center's HURDAT2 database. HURRECON is available in R and Python. The R version is available on CRAN as HurreconR.
 The model is an updated version of the original HURRECON model written in Borland Pascal for use with Idrisi (see HF025). New features include support for: (1) estimating wind damage on the enhanced Fujita scale, (2) importing hurricane track and intensity data directly from HURDAT2, (3) creating a land-water file with user-selected geographic coordinates and spatial resolution, and (4) creating plots of site and regional results. The model equations for estimating wind speed and direction, including parameter values for inflow angle, friction factor, and wind gust factor (over land and water), are unchanged from the original HURRECON model. For more details and sample datasets, see the project website on GitHub (https://github.com/hurrecon-model).
DOI: 10.6084/m9.figshare.7587596.v1
title: Additional file 3: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S1. Information statistics of data before and after filtering. (XLS 27 kb)
DOI: 10.6084/m9.figshare.7587599
title: Additional file 4: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S3. Comparison statistics of reads which were unmapped with rRNA compared with the reference genome. (XLS 25 kb)
DOI: 10.6084/m9.figshare.7587599.v1
title: Additional file 4: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S3. Comparison statistics of reads which were unmapped with rRNA compared with the reference genome. (XLS 25 kb)
DOI: 10.6084/m9.figshare.7587605
title: Additional file 5: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S4. General statistics of detected geneâ s number in each sample. (XLS 24 kb)
DOI: 10.6084/m9.figshare.7587605.v1
title: Additional file 5: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S4. General statistics of detected geneâ s number in each sample. (XLS 24 kb)
DOI: 10.6084/m9.figshare.20170465.v1
title: Evidence for selection on SARS-CoV-2 RNA translation revealed by the evolutionary dynamics of mutations in UTRs and CDSs

description: RNA translation is the rate-limiting step when cells synthesize proteins. Elevating translation efficiency (TE) is intuitively beneficial. Particularly, when viruses invade host cells, how to compete with endogenous RNAs for efficient translation is a major issue to be resolved. We collected millions of worldwide SARS-CoV-2 sequences during the past year and traced the dynamics of allele frequency of every mutation. We defined adaptive and deleterious mutations according to the rise and fall of their frequencies along time. For 5ʹUTR and synonymous mutations in SARS-CoV-2, the selection on TE is evident near start codons. Adaptive mutations generally decrease GC content while deleterious mutations increase GC content. This trend fades away with increasing distance to start codons. Mutations decreasing GC content near start codons would unravel the complex RNA structure and facilitate translation initiation, which are beneficial to SARS-CoV-2, and vice versa. During this evolutionary arms race between human and virus, SARS-CoV-2 tries to improve its <i>cis</i> elements to compete with host RNAs for rapid translation.
DOI: 10.6084/m9.figshare.9160088
title: <i>De novo</i> and comparative transcriptome analysis of genetic male sterile and fertile lines in radish <i>(</i><i>Raphanus sativus)</i>

description: In radish, male sterility studies mainly focus on cytoplasmic male sterility (CMS) while genetic male sterility (GMS) has received less attention. To explore global gene expression profiles and identify genes associated with GMS, we performed de novo and comparative transcriptome analyses of flower buds from a GMS line and maintainer (fertile) line. Our study produced approximately 700 million paired-end reads, which were assembled into 115,284 unigenes with an average length of 1,196 bp and N50 of 1,729 bp. These unigenes were extensively annotated, with nearly 60% of them having homologs in the databases and 50% assigned with Gene Ontology (GO) terms. A total of 3,390 differentially expressed genes (DEGs) between the GMS line and the maintainer line were identified, with 2,645 down-regulated and 745 up-regulated in the GMS line. GO analyses showed biological processes related to plant reproductive development such as gametophyte development, pollen wall assembly, pollen development and pollen exine formation, as well as those related to cell wall development such as cell wall oganization and cell wall biogenesis, were significantly different in these two lines. The transcriptome assembly and comparative transcriptome analysis provides novel insights into the GMS in radishfacilitating the application of GMS in radish hybrid breeding. <b>Abbreviation:</b> 136S, the male sterile line in this article; 136F, the corresponding maintainer line(fertile); AGL, AGAMOUS-LIKE gene; CMS, cytoplasmic male sterility while; COG, Clusters of Orthologous Groups; DEGs, differentially expressed genes, FPKM, Fragments Per Kilobase of transcript per Million mapped reads; GMS, genetic male sterility; GO, gene ontology; KEGG, Kyoto Encyclopedia of Genes and Genomes, NPGs, non-pollen genes
DOI: 10.6084/m9.figshare.7587566
title: Additional file 11: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S8. Characteristic transcription factor genes list between comparison groups. (XLS 46 kb)
DOI: 10.6084/m9.figshare.7587584
title: Additional file 1: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S2. Information statistics of reads filtering and HQ clean data compared with rRNA. (XLS 26 kb)
DOI: 10.6084/m9.figshare.7587584.v1
title: Additional file 1: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S2. Information statistics of reads filtering and HQ clean data compared with rRNA. (XLS 26 kb)
DOI: 10.6084/m9.figshare.22791722
title: Bioinformatics Identification and Validation of Aging‑Related Molecular Subtype and Prognostic Signature in Sarcoma

description: Aging could regulate many biological processes in malignancies by regulating cell senescence. Consensus cluster analysis was conducted to differentiate TCGA sarcoma cases. LASSO cox regression analysis was performed to construct an aging-related prognostic signature. We identified two categories of TCGA-sarcoma with significant difference in prognosis, immune infiltration and chemotherapy and targeted therapy. Moreover, an aging-related prognostic signature was constructed for sarcoma, which had a good performance in predicting the 3-year and 5-year overall survival of sarcoma patients. We also identified a lncRNA MALAT1/miR-508-3p/CCNA2 regulatory axis for sarcoma. This stratification could provide more evidence for estimating prognosis and immunotherapy of sarcoma.
DOI: 10.6084/m9.figshare.7587623.v1
title: Additional file 7: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S5. Detailed genes list for each category. (XLS 1856 kb)
DOI: 10.6084/m9.figshare.7587641.v1
title: Additional file 9: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S6. GO functional classification of unique DEGs in each group of CK1 vs.T1 and CK2 vs.T2. (XLSX 14 kb)
DOI: 10.25402/fon.19121837
title: Supplementary Info – Biomarker subset analysis of a Phase IIIb, open-label study of afatinib in EGFR TKI-naïve patients with EGFRm+ NSCLC

description: <b>Safety analyses – Methods, </b><b>Safety outcomes</b>
DOI: 10.25402/fon.19121834
title: Supplementary Tables – Biomarker subset analysis of a Phase IIIb, open-label study of afatinib in EGFR TKI-naïve patients with EGFRm+ NSCLC

description: <b>Supplementary Table 1. TRAEs occurring in ≥10% of patients.</b>
 <b>Supplementary Table 2. Subgroup analysis of TTSP and PFS in biomarker
 group.</b>
DOI: 10.25402/fon.19121837.v1
title: Supplementary Info – Biomarker subset analysis of a Phase IIIb, open-label study of afatinib in EGFR TKI-naïve patients with EGFRm+ NSCLC

description: <b>Safety analyses – Methods, </b><b>Safety outcomes</b>
DOI: 10.6084/m9.figshare.7587470.v1
title: Additional file 1: of Risk factors associated with mortality in neonatal intrahepatic cholestasis caused by citrin deficiency (NICCD) and clinical implications

description: Original data used for statistical analyses. (XLS 41 kb)
DOI: 10.6084/m9.figshare.7587272
title: Additional file 1: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: GO functional analysis output file. Figure S1. Genome sequencing depth cumulative distribution obtained from the INPUT sample. Figure S2. Gene and upstream and downstream sequences depth distribution map obtained from the INPUT sample. Figure S3. Genome sequencing depth cumulative distribution obtained from the INTMDBK_treat sample. Figure S4. Gene and upstream and downstream sequences depth distribution mapobtained from the INTMDBK_treat sample. Figure S5. Directed Acyclic Graph (DAG) of “Biological Processes” obtained from GO enrichment analysis. Figure S6. Directed Acyclic Graph (DAG) of “Cellular Components” obtained from GO enrichment analysis. Figure S7. Directed Acyclic Graph (DAG) of “Molecular Functions” obtained from GO enrichment analysis. (ZIP 726 kb)
DOI: 10.6084/m9.figshare.7587272.v1
title: Additional file 1: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: GO functional analysis output file. Figure S1. Genome sequencing depth cumulative distribution obtained from the INPUT sample. Figure S2. Gene and upstream and downstream sequences depth distribution map obtained from the INPUT sample. Figure S3. Genome sequencing depth cumulative distribution obtained from the INTMDBK_treat sample. Figure S4. Gene and upstream and downstream sequences depth distribution mapobtained from the INTMDBK_treat sample. Figure S5. Directed Acyclic Graph (DAG) of “Biological Processes” obtained from GO enrichment analysis. Figure S6. Directed Acyclic Graph (DAG) of “Cellular Components” obtained from GO enrichment analysis. Figure S7. Directed Acyclic Graph (DAG) of “Molecular Functions” obtained from GO enrichment analysis. (ZIP 726 kb)
DOI: 10.6084/m9.figshare.19121922.v1
title: The mitochondrial DNA control region sequences from the Chinese sui population of southwestern China

description: Sui people are officially recognised people living in southwest China, but there has been a lack of genetic research, especially based on mitochondrial DNA data. To study the sequences and haplogroups of the mitochondrial DNA control region in a typical Sui population, with the aim of helping to promote the establishment of a forensic DNA analysis reference database in East Asia. We analysed 201 Sui individuals and observed the sequences of the mitochondrial DNA control region. We calculated and explained the haplotype frequencies, haplogroup distribution and pairwise Fst values between the Sui and 47 other populations in the world, in order to explore genetic polymorphisms and population relationships. 161 haplotypes were found in the Sui population, with frequencies of 0.0049–0.0199. All samples were assigned to 80 different haplogroups. The haplotype diversity and random matching probability were 0.999938 and 0.024729, respectively. The pairwise Fst values and correlation p-values of 48 populations showed that the Sui population was most closely related to the Miao population in Guizhou and the Han population in Henan, and closer to the Punjab population and Pukhtunkhwa population in Pakistan, and was significantly different from the other 43 groups. Compared with the other 43 groups, it is relatively isolated. Our results show that the study of mitochondrial DNA based on the analysis of matrilineal genetic structure of the Sui population can help to promote the establishment of a forensic DNA reference database in East Asia and provide reference for future anthropological research.
DOI: 10.6084/m9.figshare.7587287.v1
title: Additional file 3: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: The peak calling output file and peak annotation are reported. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.7587290
title: Additional file 4: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: KEGG functional analysis output file. (XLSX 855 kb)
DOI: 10.6084/m9.figshare.7587506.v1
title: Additional file 4: of Whole exome sequencing identified a novel truncation mutation in the NHS gene associated with Nance-Horan syndrome

description: Variants in gene NHS accounted for pathogenic clinical conditions. Pathogenic mutation revealed in this study and those reported in ClinVar and Cat Map databases were reviewed in the table. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.7587764
title: MOESM1 of Circulating miR-3659 may be a potential biomarker of dyslipidemia in patients with obesity

description: Additional file 1. Additional tables.
DOI: 10.6084/m9.figshare.19121922
title: The mitochondrial DNA control region sequences from the Chinese sui population of southwestern China

description: Sui people are officially recognised people living in southwest China, but there has been a lack of genetic research, especially based on mitochondrial DNA data. To study the sequences and haplogroups of the mitochondrial DNA control region in a typical Sui population, with the aim of helping to promote the establishment of a forensic DNA analysis reference database in East Asia. We analysed 201 Sui individuals and observed the sequences of the mitochondrial DNA control region. We calculated and explained the haplotype frequencies, haplogroup distribution and pairwise Fst values between the Sui and 47 other populations in the world, in order to explore genetic polymorphisms and population relationships. 161 haplotypes were found in the Sui population, with frequencies of 0.0049–0.0199. All samples were assigned to 80 different haplogroups. The haplotype diversity and random matching probability were 0.999938 and 0.024729, respectively. The pairwise Fst values and correlation p-values of 48 populations showed that the Sui population was most closely related to the Miao population in Guizhou and the Han population in Henan, and closer to the Punjab population and Pukhtunkhwa population in Pakistan, and was significantly different from the other 43 groups. Compared with the other 43 groups, it is relatively isolated. Our results show that the study of mitochondrial DNA based on the analysis of matrilineal genetic structure of the Sui population can help to promote the establishment of a forensic DNA reference database in East Asia and provide reference for future anthropological research.
DOI: 10.6084/m9.figshare.7587281
title: Additional file 2: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: Captured Ď C31 integrase binding sites (markers) information and location. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.7587281.v1
title: Additional file 2: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: Captured Ď C31 integrase binding sites (markers) information and location. (XLSX 15 kb)
DOI: 10.6084/m9.figshare.7587287
title: Additional file 3: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: The peak calling output file and peak annotation are reported. (XLSX 109 kb)
DOI: 10.6084/m9.figshare.7587290.v1
title: Additional file 4: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: KEGG functional analysis output file. (XLSX 855 kb)
DOI: 10.6084/m9.figshare.7587302.v1
title: Additional file 5: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: GO functional analysis output file. (XLSX 29 kb)
DOI: 10.6084/m9.figshare.7587506
title: Additional file 4: of Whole exome sequencing identified a novel truncation mutation in the NHS gene associated with Nance-Horan syndrome

description: Variants in gene NHS accounted for pathogenic clinical conditions. Pathogenic mutation revealed in this study and those reported in ClinVar and Cat Map databases were reviewed in the table. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.7587569
title: Additional file 12: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S9. List of primers used in RT-qPCR. (XLS 26 kb)
DOI: 10.6084/m9.figshare.7587569.v1
title: Additional file 12: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S9. List of primers used in RT-qPCR. (XLS 26 kb)
DOI: 10.25402/fon.19121834.v1
title: Supplementary Tables – Biomarker subset analysis of a Phase IIIb, open-label study of afatinib in EGFR TKI-naïve patients with EGFRm+ NSCLC

description: <b>Supplementary Table 1. TRAEs occurring in ≥10% of patients.</b>
 <b>Supplementary Table 2. Subgroup analysis of TTSP and PFS in biomarker
 group.</b>
DOI: 10.3886/icpsr34990.v2
title: National Profile of Local Health Departments, 2013
title: Version 2

description: Conducted by the National Association of County and City Health Officials (NACCHO), the purpose of this survey of local health departments (LHDs) was to advance and support the development of a database for LHDs to describe and understand their structure, function, and capacities. A core set of questions was submitted to every LHD. In addition, some LHDs received one of two randomly assigned modules of supplemental questions. The core questions covered governance, funding, workforce (staffing levels, occupations employed, top executive education and licensure), LHD activities, community health assessment and health improvement planning, use of the Community Guide of Preventive Services, and policy-making and advocacy. The surveyed LHD activities include immunization, screening for diseases and conditions, treatment for communicable diseases, maternal and child health, epidemiology and surveillance activities, population-based primary prevention activities, and regulation, inspection and/or licensing activities. Topics covered by Module 1 included quality improvement, accreditation through the Public Health Accreditation Board, sharing of resources across LHDs, human resources issues, partnerships and collaboration with other organizations in the community, practice-based research, health impact assessments, use of the County Health Rankings reports, and collaboration with public health institutes. Module 2 examined emergency preparedness, public health informatics, access to health care services, and health disparities.
description: Response Rates: Overall, the study had a response rate of 79 percent: 2,000 of 2,532 LHDs.
description: The survey attempted to interview all of the LHDs in the survey universe. Stratified random sampling was used to select LHDs that were assigned one of the two modules of supplementary questions. Altogether, 1,288 LHDs received the core questions only, 624 the core questions plus Module 1, and 620 the core questions plus Module 2.
description: Datasets: DS0: Study-Level Files DS1: Public-Use Version of the Data DS2: Restricted-Use Version of the Data
description: The survey universe comprises 2,532 of the approximately 2,800 agencies in the United States that met NACHHO's definition of a LHD: an administrative or service unit of local or state government, concerned with health, and carrying some responsibility for the health of a jurisdiction smaller than the state. Hawaii and Rhode Island were excluded because their state health departments operate on behalf of local public health and have no sub-state units.
description: web-based surveyThis is the seventh National Profile of Local Health Departments conducted by NACCHO. The previous rounds were conducted in 1989-1990, 1992-1993, 1996-1997, 2005, 2008, and 2010. ICPSR also houses the 2010 Profile (ICPSR 32922) and the 2008 Profile (ICPSR 26962) but not the earlier rounds.More information about this study can be found on the NACCHO Web site.
DOI: 10.6084/m9.figshare.7587302
title: Additional file 5: of Global mapping of binding sites for phic31 integrase in transgenic maden-darby bovine kidney cells using ChIP-seq

description: GO functional analysis output file. (XLSX 29 kb)
DOI: 10.6084/m9.figshare.7587596
title: Additional file 3: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S1. Information statistics of data before and after filtering. (XLS 27 kb)
DOI: 10.6084/m9.figshare.7587623
title: Additional file 7: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S5. Detailed genes list for each category. (XLS 1856 kb)
DOI: 10.6084/m9.figshare.7587641
title: Additional file 9: of Comparative transcriptome analysis of two selenium-accumulating genotypes of Aegilops tauschii Coss. in response to selenium

description: Data S6. GO functional classification of unique DEGs in each group of CK1 vs.T1 and CK2 vs.T2. (XLSX 14 kb)