cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10288064.v1
title: MOESM3 of Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

description: Additional file 3. This file shows the results of the evaluation of UMLS CUI pairs with BMJ Best Practice content (i.e. human medicine), i.e. the file contains the 3-tuples (target concept, candidate concept, validation label) for the VetCN dataset (worksheet “VetCN”) and the PMSB dataset (worksheet “PMSB”). The worksheet “signatures” has the ontological signature (i.e. a list of SNOMED CT identifiers) for each of the 11 medical conditions that are the subject of this study. The worksheet “q One Health” shows the number of UMLS CUI pairs validated with BMJ Best Practice content (i.e. human medicine) for each of the 27 UMLS Semantic Types that participates in the SPARQL SELECT query q1VU or q2VU or q3VU (i.e. One Health queries from Table 11).
DOI: 10.6084/m9.figshare.10288054
title: MOESM1 of Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

description: Additional file 1. This file contains 880 term pairs (target term, candidate term) obtained from the two datasets for 11 medical conditions: the worksheet “VetCN” with the 440 term pairs using CBOW and Skip-gram with the VetCN dataset; and the worksheet “PMSB” with the 440 term pairs using CBOW and Skip-gram with the PMSB dataset. Within the worksheet “VetCN” and “PMSB” appear the UMLS CUIs assigned to the candidate terms (n-grams). The worksheet “SF to LF” has the 63 long forms for 80 short forms (including variants of the short forms) within the candidate terms (n-grams). The worksheet “MetaMap performance” contains the number of TP, FP, and FN obtained and used to calculate precision, recall, and F measure for MetaMap in Experiment 1 (EXP-1) and Experiment 2 (EXP-2).
DOI: 10.6084/m9.figshare.10288056
title: MOESM2 of DNA damage response and repair in perspective: Aedes aegypti, Drosophila melanogaster and Homo sapiens

description: Additional file 2: Table S1. ATR signaling protein codes. Table S2. DSB protein codes. Table S3. H2A codes. Table S4. HR protein codes. Table S5. NHEJ protein codes. Table S6. MMEJ protein codes. Table S7. MMR protein codes. Table S8. BER protein codes. Table S9. NER protein codes. Table S10. Direct repair protein codes.
DOI: 10.6084/m9.figshare.10288056.v1
title: MOESM2 of DNA damage response and repair in perspective: Aedes aegypti, Drosophila melanogaster and Homo sapiens

description: Additional file 2: Table S1. ATR signaling protein codes. Table S2. DSB protein codes. Table S3. H2A codes. Table S4. HR protein codes. Table S5. NHEJ protein codes. Table S6. MMEJ protein codes. Table S7. MMR protein codes. Table S8. BER protein codes. Table S9. NER protein codes. Table S10. Direct repair protein codes.
DOI: 10.6084/m9.figshare.10288054.v1
title: MOESM1 of Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

description: Additional file 1. This file contains 880 term pairs (target term, candidate term) obtained from the two datasets for 11 medical conditions: the worksheet “VetCN” with the 440 term pairs using CBOW and Skip-gram with the VetCN dataset; and the worksheet “PMSB” with the 440 term pairs using CBOW and Skip-gram with the PMSB dataset. Within the worksheet “VetCN” and “PMSB” appear the UMLS CUIs assigned to the candidate terms (n-grams). The worksheet “SF to LF” has the 63 long forms for 80 short forms (including variants of the short forms) within the candidate terms (n-grams). The worksheet “MetaMap performance” contains the number of TP, FP, and FN obtained and used to calculate precision, recall, and F measure for MetaMap in Experiment 1 (EXP-1) and Experiment 2 (EXP-2).
DOI: 10.6084/m9.figshare.10287944
title: MOESM8 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 8: File 2. R scripts used for statistical analysis.
DOI: 10.6084/m9.figshare.10287944.v1
title: MOESM8 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 8: File 2. R scripts used for statistical analysis.
DOI: 10.5281/zenodo.3907859
title: Sinhala Prakrit. SIDDHAM digital glossary: the letter Ā (version 1.0).

description: Sinhala Prakrit. SIDDHAM digital glossary: the letter Ā (version 1.0).
description: [owner: erc609823@yahoo.com]
DOI: 10.6084/m9.figshare.10287934
title: MOESM1 of PdWND3A, a wood-associated NAC domain-containing protein, affects lignin biosynthesis and composition in Populus

description: Additional file 1. The list of primers used for PCR and RT-PCR analyses in this study.
DOI: 10.5281/zenodo.3907858
title: Sinhala Prakrit. SIDDHAM digital glossary: the letter Ā (version 1.0).

description: Sinhala Prakrit. SIDDHAM digital glossary: the letter Ā (version 1.0).
description: [owner: erc609823@yahoo.com]
DOI: 10.6084/m9.figshare.10287934.v1
title: MOESM1 of PdWND3A, a wood-associated NAC domain-containing protein, affects lignin biosynthesis and composition in Populus

description: Additional file 1. The list of primers used for PCR and RT-PCR analyses in this study.
DOI: 10.6084/m9.figshare.10287924
title: MOESM4 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 4: Table S4. Target- and substitution-specific mutations among all 19 subjects. Target- and substitution-specific mutations among all 19 subjects. Mutation number and prevalence for each substitution type with mutation prevalence (mutations/target bp/subject) in parentheses. Mutations were identified as VAF (variant allele reads/total reads) &gt; 5 × 10− 4 (0.05%) and significantly above IS background VAF at respective site based on contingency table analysis (see Methods).
DOI: 10.6084/m9.figshare.10287920
title: MOESM4 of An overview of systematic reviews of economic evaluations of pharmacy-based public health interventions: addressing methodological challenges

description: Additional file 4. Characteristics of Primary Studies.xls (Characteristics of primary studies as reported in included reviews) – this file contains a table of all 75 primary studies and its main characteristics as reported in included reviews.
DOI: 10.6084/m9.figshare.10287918
title: MOESM3 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 3: Table S3. Characteristics of variants identified in normal AEC specimens.
DOI: 10.6084/m9.figshare.10287920.v1
title: MOESM4 of An overview of systematic reviews of economic evaluations of pharmacy-based public health interventions: addressing methodological challenges

description: Additional file 4. Characteristics of Primary Studies.xls (Characteristics of primary studies as reported in included reviews) – this file contains a table of all 75 primary studies and its main characteristics as reported in included reviews.
DOI: 10.6084/m9.figshare.10287924.v1
title: MOESM4 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 4: Table S4. Target- and substitution-specific mutations among all 19 subjects. Target- and substitution-specific mutations among all 19 subjects. Mutation number and prevalence for each substitution type with mutation prevalence (mutations/target bp/subject) in parentheses. Mutations were identified as VAF (variant allele reads/total reads) &gt; 5 × 10− 4 (0.05%) and significantly above IS background VAF at respective site based on contingency table analysis (see Methods).
DOI: 10.6084/m9.figshare.10287914
title: MOESM2 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 2: Table S2. Target-Specific Primers.
DOI: 10.6084/m9.figshare.10287918.v1
title: MOESM3 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 3: Table S3. Characteristics of variants identified in normal AEC specimens.
DOI: 10.6084/m9.figshare.10287908
title: MOESM1 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 1: Table S1. Determination of Cancer-Free Status in Non-Cancer Subjects.
DOI: 10.6084/m9.figshare.10287914.v1
title: MOESM2 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 2: Table S2. Target-Specific Primers.
DOI: 10.6084/m9.figshare.10287908.v1
title: MOESM1 of Technical advance in targeted NGS analysis enables identification of lung cancer risk-associated low frequency TP53, PIK3CA, and BRAF mutations in airway epithelial cells

description: Additional file 1: Table S1. Determination of Cancer-Free Status in Non-Cancer Subjects.
DOI: 10.6084/m9.figshare.10287880
title: MOESM4 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 4. Expression and differential expression profile of the 670 putatively methylated mRNA genes extracted from previously published RNA-seq data.
DOI: 10.6084/m9.figshare.10287884
title: MOESM5 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 5. BS-seq scripts.
DOI: 10.6084/m9.figshare.10287880.v1
title: MOESM4 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 4. Expression and differential expression profile of the 670 putatively methylated mRNA genes extracted from previously published RNA-seq data.
DOI: 10.6084/m9.figshare.10287884.v1
title: MOESM5 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 5. BS-seq scripts.
DOI: 10.6084/m9.figshare.10287872
title: MOESM2 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 2. CDD analysis.
DOI: 10.6084/m9.figshare.10287874
title: MOESM3 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 3. GO enrichment analysis.
DOI: 10.6084/m9.figshare.10287866
title: MOESM1 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 1. Putatively methylated genes.
DOI: 10.6084/m9.figshare.10287872.v1
title: MOESM2 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 2. CDD analysis.
DOI: 10.6084/m9.figshare.10287874.v1
title: MOESM3 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 3. GO enrichment analysis.
DOI: 10.6084/m9.figshare.10287866.v1
title: MOESM1 of Genome-wide DNA methylation analysis of Metarhizium anisopliae during tick mimicked infection condition

description: Additional file 1. Putatively methylated genes.
DOI: 10.6084/m9.figshare.10287113
title: C. elegans calcium imaging Mesmerize project

description: Please see the README for details.OverviewDataset containing a few recordings of spontaneous activity from <em>C. elegans</em> motorneurons.Opening the datasetThe dataset is compresed in tar archive with gzip compression. Decompression can take a while, you may get better performance if you read from a different filesystem than the one that you write to. I recommend using a fast filesystem to store the decompressed data since the image data is large.<strong><br></strong><strong>pigz</strong> should be faster for decompression compared to standard tar. For Ubuntu & Debian based distros you can install pigz through apt. For other distros please check your repositories.<code><br></code><code>sudo apt install pigz</code><br>On Mac OSX you can install pigz through brew. See this: https://brewinstall.org/Install-pigz-on-Mac-with-Brew/Decompressing:<code><br></code><code>pigz -dc c_elegans_mesmerize.tar.gz | tar -xf</code><br>If you cannot install pigz you can decompress with tar. This may take a long time.<code><br></code><code>tar xvzf c_elegans_mesmerize.tar.gz</code><br>This will probably decompress into a directory called "share". Navigate to <code>share/data/temp/kushal</code> and you should see the project directory "c_elegans_mesmerize".Once decompressed, you can explore the dataset using Mesmerize. Simply open the Project Directory through the Mesmerize Welcome Window (the window that you are presented with when you launch Mesmerize). You will see the available analysis flowcharts and plots similar to this: http://www.mesmerizelab.org/Overview.html#welcome-windowDouble click on a flowchart or plot to open it. See the "Flowchart" and "Plots" sections below for details.You can explore individual project samples by using the Project Browser and double-clicking on the samples of interest. Note that the image sequence is large (~50GB) so make sure you have enough RAM available if you want to view it.
DOI: 10.6084/m9.figshare.10287032
title: DArT-seq files

description: Diversity Arrays (DArT-seq<sup>TM</sup>) files for <i>Eudyptes </i>penguins.<br>metadata.xlsx refers to the three data files (Report_DEud17-3204_SNP_2.csv, Report_DEud17-3204_SNP_singlerow_2.csv and Report_DEud17-3204_SilicoDArT_1.csv).<br>The Report_DEud17-3204_SNP_2.csv was imported into R using the DartR package, along with Data_Ind_Meta3.csv.<br>Species codes in Data_Ind_Meta3.csv are:mac = macaroni penguin, <i>Eudyptes chrysolophus chrysolophus</i>roy = royal penguin, <i>Eudyptes chrysolophus schlegeli</i>mos = northern rockhopper, <i>Eudyptes moseleyi</i>chry = western rockhopper, <i>Eudyptes chrysocome</i>fil = eastern rockhopper, <i>Eudyptes filholi</i>fcp = Fiordland crested (Tawaki), <i>Eudyptes pachyrhynchus</i>sna = Snares crested, <i>Eudyptes robustus</i><i><br></i>Location codes are:<br>KER = Kerguelen, ELE = Elephant Island, AMS = Amsterdam Island, PEB = Pebble Beach (Falkland Islands), GOU = Gough Island, MAC = Macquarie Island, COD = Codfish Island, MIL = Milford Sound, SNA = The Snares, WES = Western Chain, CAM = Campbell Island, JAC = Jackson Head, AUC = Auckland Islands, ANT = Antipodes Islands, NEW = New Island (Falkland Islands), CRZ = Crozet, MAR = Marion Island, PEI = Prince Edward Island, SGE = South Georgia, SSI = South Sandwich Islands
DOI: 10.6084/m9.figshare.10287038
title: Subway_Name

description: Chongqing
DOI: 10.6084/m9.figshare.10287032.v1
title: DArT-seq files

description: Diversity Arrays (DArT-seq<sup>TM</sup>) files for <i>Eudyptes </i>penguins.<br>metadata.xlsx refers to the three data files (Report_DEud17-3204_SNP_2.csv, Report_DEud17-3204_SNP_singlerow_2.csv and Report_DEud17-3204_SilicoDArT_1.csv).<br>The Report_DEud17-3204_SNP_2.csv was imported into R using the DartR package, along with Data_Ind_Meta3.csv.<br>Species codes in Data_Ind_Meta3.csv are:mac = macaroni penguin, <i>Eudyptes chrysolophus chrysolophus</i>roy = royal penguin, <i>Eudyptes chrysolophus schlegeli</i>mos = northern rockhopper, <i>Eudyptes moseleyi</i>chry = western rockhopper, <i>Eudyptes chrysocome</i>fil = eastern rockhopper, <i>Eudyptes filholi</i>fcp = Fiordland crested (Tawaki), <i>Eudyptes pachyrhynchus</i>sna = Snares crested, <i>Eudyptes robustus</i><i><br></i>Location codes are:<br>KER = Kerguelen, ELE = Elephant Island, AMS = Amsterdam Island, PEB = Pebble Beach (Falkland Islands), GOU = Gough Island, MAC = Macquarie Island, COD = Codfish Island, MIL = Milford Sound, SNA = The Snares, WES = Western Chain, CAM = Campbell Island, JAC = Jackson Head, AUC = Auckland Islands, ANT = Antipodes Islands, NEW = New Island (Falkland Islands), CRZ = Crozet, MAR = Marion Island, PEI = Prince Edward Island, SGE = South Georgia, SSI = South Sandwich Islands
DOI: 10.6084/m9.figshare.10287026
title: SFS files for the CubSFS analyses

description: SFS files used for the CubSFS analyses:<br>ADPE = Adelie penguinchrysocome = Western rockhopper penguinfilholi = Eastern rockhopper penguinCHPE = Chinstrap penguinEP = Emperor penguinKIPE = King Penguinmacroy = Macaroni and Royal penguintawaki = Fiordland crested penguinmoseleyi = Northern rockhopper penguinWAP_Gentoo = Gentoo penguin
DOI: 10.6084/m9.figshare.10287029
title: Mobility

description: Chongqing
DOI: 10.6084/m9.figshare.10287038.v1
title: Subway_Name

description: Chongqing
DOI: 10.6084/m9.figshare.10287026.v1
title: SFS files for the CubSFS analyses

description: SFS files used for the CubSFS analyses:<br>ADPE = Adelie penguinchrysocome = Western rockhopper penguinfilholi = Eastern rockhopper penguinCHPE = Chinstrap penguinEP = Emperor penguinKIPE = King Penguinmacroy = Macaroni and Royal penguintawaki = Fiordland crested penguinmoseleyi = Northern rockhopper penguinWAP_Gentoo = Gentoo penguin
DOI: 10.6084/m9.figshare.10287029.v1
title: Mobility

description: Chongqing
DOI: 10.6084/m9.figshare.10287005
title: Input into the SNAPP demographic reconstruction

description: The input code for the SNAPP demographic analysis.
DOI: 10.6084/m9.figshare.10287005.v1
title: Input into the SNAPP demographic reconstruction

description: The input code for the SNAPP demographic analysis.
DOI: 10.6084/m9.figshare.10286897
title: Factors Affecting Superovulatory Response on Embryo Production in Simmental Cattle

description: Data
DOI: 10.6084/m9.figshare.10286897.v1
title: Factors Affecting Superovulatory Response on Embryo Production in Simmental Cattle

description: Data
DOI: 10.6084/m9.figshare.10286153
title: NatureFood2019Raab.xlsx

description: Data set associated with Nature Food Publication, by Lessard et. al.
DOI: 10.6084/m9.figshare.10286060
title: Treatment effects on offspring hematocrit, oxidative stress, and telomere lengths

description: This dataset contains all the data needed to reproduce the results shown in Tables S2, S4, S6, S7, and S9. The composite variables for the oxidative stress measures are also provided in addition to the raw data used to generate these using a principal components analysis.
DOI: 10.6084/m9.figshare.10285148
title: Treatment effects on offspring birth mass, postnatal growth, and size

description: This file contains all the data needed to reproduce the results presented in Tables S1, S3, S5, and S8 of the associated manuscript. Data provided allow one to assess treatment effects (GCs or Control either during pregnancy or lactation) on the first body mass measure ("birth mass") of offspring, postnatal growth rate, morphological size (a composite variable of zygomatic arch width and hind foot length), and also to look at the dosage effects on postnatal growth (Table S1). Finally, the postnatal growth rate data are used to estimate standardized growth for the other analyses shown in Tables S4, S6, S7, and S9. If "NA", data are of course unavailable for that individual.
DOI: 10.6084/m9.figshare.10286060.v1
title: Treatment effects on offspring hematocrit, oxidative stress, and telomere lengths

description: This dataset contains all the data needed to reproduce the results shown in Tables S2, S4, S6, S7, and S9. The composite variables for the oxidative stress measures are also provided in addition to the raw data used to generate these using a principal components analysis.
DOI: 10.6084/m9.figshare.10285085
title: Litter characteristics for lactation treatments

description: This contains all the data to assess how the lactation treatments (treated with GCs or Controls) impacted litter size at the first nest entry ("Nest1") or second nest entry ("Nest 2"), the proportion of the litter surviving from the first to second nest entry, and the litter sex ratio at the first and second nest entry. These analyses are presented in the main text of this manuscript. These data for litter sizes at first nest entry and Julian birth date are also used to generate the standardized litter size and Julian birth date scores for the other data files for lactation treatments.
DOI: 10.6084/m9.figshare.10284284
title: Granite State Poll #70 - Political Poll

description: Granite State Poll is a quarterly poll conducted by the University of New Hampshire Survey Center. The poll sample consists of about 500 New Hampshire adults with a working telephone across the state. Each poll contains a series of basic demographic questions that are repeated in future polls, as well as a set of unique questions that are submitted by clients. This poll includes four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project.<br>The first file is a screenshot of the survey to provide a preview for Figshare. The second file is the survey protocol in Microsoft Word format.<br>
DOI: 10.6084/m9.figshare.10284311
title: F1000Research reviews and national affiliations

description: F1000Research reviews and national affiliations - raw data and graphs from an associated paper.
DOI: 10.6084/m9.figshare.10284284.v1
title: Granite State Poll #70 - Political Poll

description: Granite State Poll is a quarterly poll conducted by the University of New Hampshire Survey Center. The poll sample consists of about 500 New Hampshire adults with a working telephone across the state. Each poll contains a series of basic demographic questions that are repeated in future polls, as well as a set of unique questions that are submitted by clients. This poll includes four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project.<br>The first file is a screenshot of the survey to provide a preview for Figshare. The second file is the survey protocol in Microsoft Word format.<br>
DOI: 10.6084/m9.figshare.10284272
title: Granite State Poll #69 - Client Poll

description: Granite State Poll is a quarterly poll conducted by the University of New Hampshire Survey Center. The poll sample consists of about 500 New Hampshire adults with a working telephone across the state. Each poll contains a series of basic demographic questions that are repeated in future polls, as well as a set of unique questions that are submitted by clients. This poll includes four questions related to preferences about dams. These questions were designed by Natallia Leuchanka Diessner, Catherine M. Ashcraft, Kevin H. Gardner, and Lawrence C. Hamilton as part of the "Future of Dams" project.<br>The first file is a screenshot of the survey to provide a preview for Figshare. The second file is the survey protocol in Microsoft Word format.<br>
DOI: 10.6084/m9.figshare.10284311.v2
title: F1000Research reviews and national affiliations

description: F1000Research reviews and national affiliations - raw data and graphs from an associated paper.
DOI: 10.6084/m9.figshare.10284311.v1
title: F1000Research reviews and national affiliations

description: F1000Research reviews and national affiliations - raw data and graphs from an associated paper.
DOI: 10.6084/m9.figshare.10284212
title: Siz2 Myc ChIP

description: Siz2 Myc and untagged control ChIP data