cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16829104.v1
title: Additional file 1 of Classifying natural products from plants, fungi or bacteria using the COCONUT database and machine learning

description: Additional file 1. COCONUT entries for which a publication and an organism name were reported but not the corresponding taxonomical annotation as plant, fungi, or bacteria.
DOI: 10.6084/m9.figshare.16829053.v1
title: Birth weight and Smoking

description: Birth weight and Smoking during pregnancy
DOI: 10.6084/m9.figshare.16763764.v1
title: Momentum Portfolios applied to Statistical Arbitrage

description: These datasets are constructed based on momentum strategies for testing the efficiency of the Tehran Stock Exchange using Statistical Arbitrage Model. The name of each dataset X_Y denotes that the portfolios are constructed by X months formation period and Y months holding periods which is the fundamental of creating momentum portfolios.
DOI: 10.6084/m9.figshare.16829101
title: Additional file 10 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 10: Table S9: DAE clusters and associated functional enrichment using Enrichr
DOI: 10.6084/m9.figshare.16829101.v1
title: Additional file 10 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 10: Table S9: DAE clusters and associated functional enrichment using Enrichr
DOI: 10.6084/m9.figshare.16829107
title: Additional file 11 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 11: Table S10: DAEs linked to OMIM genes
DOI: 10.6084/m9.figshare.16829107.v1
title: Additional file 11 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 11: Table S10: DAEs linked to OMIM genes
DOI: 10.6084/m9.figshare.16829110.v1
title: Additional file 12 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 12: Table S11: Significant GWAS loci used in this study
DOI: 10.6084/m9.figshare.16829110
title: Additional file 12 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 12: Table S11: Significant GWAS loci used in this study
DOI: 10.6084/m9.figshare.16829116
title: Additional file 13 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 13: Table S12: Calculations and p-values for gene variant associations
DOI: 10.6084/m9.figshare.16829125.v1
title: Additional file 14 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 14: Table S13: Zebrafish quantifications
DOI: 10.6084/m9.figshare.16829116.v1
title: Additional file 13 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 13: Table S12: Calculations and p-values for gene variant associations
DOI: 10.6084/m9.figshare.16829125
title: Additional file 14 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 14: Table S13: Zebrafish quantifications
DOI: 10.6084/m9.figshare.16829131
title: Additional file 15 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 15: Table S14: Oligonucleotides used in this study
DOI: 10.6084/m9.figshare.16829131.v1
title: Additional file 15 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 15: Table S14: Oligonucleotides used in this study
DOI: 10.6084/m9.figshare.16829140
title: Additional file 2 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 2: Table S1: List of all putative enhancers collected
DOI: 10.6084/m9.figshare.16829140.v1
title: Additional file 2 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 2: Table S1: List of all putative enhancers collected
DOI: 10.6084/m9.figshare.16829149
title: Additional file 3 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 3: Table S2: Overview of all epigenome data processed in this study
DOI: 10.6084/m9.figshare.16829149.v1
title: Additional file 3 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 3: Table S2: Overview of all epigenome data processed in this study
DOI: 10.6084/m9.figshare.16829152
title: Additional file 4 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 4: Table S3: List of all pCRs, with DAEs and nDAEs indicated
DOI: 10.6084/m9.figshare.16829158
title: Additional file 5 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 5: Table S4: Functional enrichment analysis using GREAT for DAEs and nDAEs
DOI: 10.6084/m9.figshare.16829152.v1
title: Additional file 4 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 4: Table S3: List of all pCRs, with DAEs and nDAEs indicated
DOI: 10.6084/m9.figshare.16829158.v1
title: Additional file 5 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 5: Table S4: Functional enrichment analysis using GREAT for DAEs and nDAEs
DOI: 10.6084/m9.figshare.16829164
title: Additional file 6 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 6: Table S5: enhancer-gene predictions
DOI: 10.6084/m9.figshare.16829164.v1
title: Additional file 6 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 6: Table S5: enhancer-gene predictions
DOI: 10.6084/m9.figshare.16829170
title: Additional file 7 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 7: Table S6: Overview of all RNA-seq data sets used in this study
DOI: 10.6084/m9.figshare.16829170.v1
title: Additional file 7 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 7: Table S6: Overview of all RNA-seq data sets used in this study
DOI: 10.6084/m9.figshare.16829173
title: Additional file 8 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 8: Table S7: Functional enrichment analysis using GREAT, Enrichr and Metascape for multigene interacting DAEs and nDAEs
DOI: 10.6084/m9.figshare.16829173.v1
title: Additional file 8 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 8: Table S7: Functional enrichment analysis using GREAT, Enrichr and Metascape for multigene interacting DAEs and nDAEs
DOI: 10.6084/m9.figshare.16829179
title: Additional file 9 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 9: Table S8: TF and TE enrichment at DAEs and nDAEs
DOI: 10.6084/m9.figshare.16829179.v1
title: Additional file 9 of Comprehensive multi-omics integration identifies differentially active enhancers during human brain development with clinical relevance

description: Additional file 9: Table S8: TF and TE enrichment at DAEs and nDAEs
DOI: 10.6084/m9.figshare.16828996
title: Dataset Clinical Evaluation of Ocular Biometry of Dual Scheimpflug Analyzer and Swept Source Optical Coherence Tomography .xlsx

description: The dataset of ninety-six cataract patients from a tertiary eye center in Thailand supporting the finding in the study: Clinical Evaluation of Ocular Biometry of Dual Scheimpflug Analyzer and Swept Source Optical Coherence Tomography
DOI: 10.25952/g2ec-8h91
title: The effects of time constraint on reading proficiency test scores of tertiary level learners of English as an Additional Language (EAL)

description: The study used a mixed methods approach via three data collections: reading tests, questionnaires and interviews. The files include copies of the raw data gathered from the test results, and questionnaire and interview responses. The test results and questionnaire responses were then analysed through SPSS and the interviews were thematically analysed through NVivo. These analyses are contained within the files. All were analysed separately. The questionnaire and interview responses were used to further support the test result findings.
description: Appendix materials referenced in thesis are available upon request from the dataset custodian.
DOI: 10.6084/m9.figshare.16828996.v1
title: Dataset Clinical Evaluation of Ocular Biometry of Dual Scheimpflug Analyzer and Swept Source Optical Coherence Tomography .xlsx

description: The dataset of ninety-six cataract patients from a tertiary eye center in Thailand supporting the finding in the study: Clinical Evaluation of Ocular Biometry of Dual Scheimpflug Analyzer and Swept Source Optical Coherence Tomography
DOI: 10.6084/m9.figshare.16829375
title: Additional file 1 of Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans

description: Additional file 1: previous_studies_with_ancient_data.xlsx. Table S1. Genome-wide aDNA data in addition to those curated in Marciniak and Perry Nat Rev Genet 2017. Table S2. Summary of genome-wide aDNA studies by year of publication and geographic region. The authors apologize for any accidental omissions of published ancient human or archaic hominin genomic data sets. These data are otherwise intended to be current as of December 2020. SNP, single-nucleotide polymorphism; WGS, whole-genome sequencing. * &gt; 1× indicates an average coverage greater than 1-fold. ** &gt; 5× indicates an average coverage greater than 5-fold. ‡Geographic region definitions: - Central Europe: Croatia, the Czech Republic, Hungary, Austria, Poland, Germany, Switzerland, Serbia, Slovakia. - Eastern Europe: Belarus, the Ukraine, Russia, Bulgaria, Montenegro, Caucasus, Romania, Moldova, Armenia. - Northern Europe: Estonia, Denmark, Sweden, Lithuania, Latvia, Ireland, United Kingdom, Norway, Netherlands, Belgium, France, Luxembourg, Finland, Iceland, Isle of Man. - Southern Europe: Spain, Portugal, Italy, Greece, Macedonia. - Asia: Nepal, China, India, Pakistan, Mongolia, Thailand, Cambodia, Vietnam, Laos, Malaysia, Indonesia, Philippines, Japan, Kazakhstan, Uzbekistan, Tajikistan, Turkmenistan, Afghanistan, Kyrgyzstan. - Middle East: Iran, Israel, Turkey, Jordan, Lebanon, Yemen. - North America: Canada, United States, Greenland, Central America, the Caribbean, Mexico, Bahamas, − South America: Brazil, Chile, Bolivia, Peru, Argentina, Venezuela. - Africa: Ethiopia, Egypt, Chad, Nigeria, Morocco. - Oceania: Vanuatu, Australia, Tonga, Solomon Islands, French Polynesia. §For subsets of samples without reported specific dates.
DOI: 10.6084/m9.figshare.16829375.v1
title: Additional file 1 of Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans

description: Additional file 1: previous_studies_with_ancient_data.xlsx. Table S1. Genome-wide aDNA data in addition to those curated in Marciniak and Perry Nat Rev Genet 2017. Table S2. Summary of genome-wide aDNA studies by year of publication and geographic region. The authors apologize for any accidental omissions of published ancient human or archaic hominin genomic data sets. These data are otherwise intended to be current as of December 2020. SNP, single-nucleotide polymorphism; WGS, whole-genome sequencing. * &gt; 1× indicates an average coverage greater than 1-fold. ** &gt; 5× indicates an average coverage greater than 5-fold. ‡Geographic region definitions: - Central Europe: Croatia, the Czech Republic, Hungary, Austria, Poland, Germany, Switzerland, Serbia, Slovakia. - Eastern Europe: Belarus, the Ukraine, Russia, Bulgaria, Montenegro, Caucasus, Romania, Moldova, Armenia. - Northern Europe: Estonia, Denmark, Sweden, Lithuania, Latvia, Ireland, United Kingdom, Norway, Netherlands, Belgium, France, Luxembourg, Finland, Iceland, Isle of Man. - Southern Europe: Spain, Portugal, Italy, Greece, Macedonia. - Asia: Nepal, China, India, Pakistan, Mongolia, Thailand, Cambodia, Vietnam, Laos, Malaysia, Indonesia, Philippines, Japan, Kazakhstan, Uzbekistan, Tajikistan, Turkmenistan, Afghanistan, Kyrgyzstan. - Middle East: Iran, Israel, Turkey, Jordan, Lebanon, Yemen. - North America: Canada, United States, Greenland, Central America, the Caribbean, Mexico, Bahamas, − South America: Brazil, Chile, Bolivia, Peru, Argentina, Venezuela. - Africa: Ethiopia, Egypt, Chad, Nigeria, Morocco. - Oceania: Vanuatu, Australia, Tonga, Solomon Islands, French Polynesia. §For subsets of samples without reported specific dates.
DOI: 10.6084/m9.figshare.16829380.v1
title: Additional file 2 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 2. Temperature and humidity conditions of WHO susceptibility and CDC bottle bioassays.
DOI: 10.6084/m9.figshare.16829380
title: Additional file 2 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 2. Temperature and humidity conditions of WHO susceptibility and CDC bottle bioassays.
DOI: 10.6084/m9.figshare.16829383
title: Additional file 3 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 3. Synergist assays using pyrethroid insecticides and piperonyl butoxide data.
DOI: 10.6084/m9.figshare.16829383.v1
title: Additional file 3 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 3. Synergist assays using pyrethroid insecticides and piperonyl butoxide data.
DOI: 10.6084/m9.figshare.16829386.v1
title: Additional file 4 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 4. CDC bottle assays using 100ug chlorfenapyr data.
DOI: 10.6084/m9.figshare.16829386
title: Additional file 4 of Evidence supporting deployment of next generation insecticide treated nets in Burkina Faso: bioassays with either chlorfenapyr or piperonyl butoxide increase mortality of pyrethroid-resistant Anopheles gambiae

description: Additional file 4. CDC bottle assays using 100ug chlorfenapyr data.
DOI: 10.6084/m9.figshare.16829431
title: Additional file 1 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 1. Historic rice varieties retrieved from literature and herbarium collections, mentioned as cultivated by East Indian contract laborers and small-scale farmers in Guyana and Suriname in the period 1863-present. All rice varieties belong to Oryza sativa L.
DOI: 10.6084/m9.figshare.16829431.v1
title: Additional file 1 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 1. Historic rice varieties retrieved from literature and herbarium collections, mentioned as cultivated by East Indian contract laborers and small-scale farmers in Guyana and Suriname in the period 1863-present. All rice varieties belong to Oryza sativa L.
DOI: 10.6084/m9.figshare.16829437
title: Additional file 3 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 3. Rice varieties (modern and historic) mentioned during interviews, current and past growing location, agricultural and culinary characteristics, and presence in herbarium or germplasm collections.
DOI: 10.6084/m9.figshare.16829437.v1
title: Additional file 3 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 3. Rice varieties (modern and historic) mentioned during interviews, current and past growing location, agricultural and culinary characteristics, and presence in herbarium or germplasm collections.
DOI: 10.6084/m9.figshare.16829440
title: Additional file 4 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 4. Vernacular rice terms mentioned during interviewsVernacular rice terms mentioned during interviews.
DOI: 10.6084/m9.figshare.16829440.v1
title: Additional file 4 of The legacy of traditional rice cultivation by descendants of Indian contract laborers in Suriname

description: Additional file 4. Vernacular rice terms mentioned during interviewsVernacular rice terms mentioned during interviews.
DOI: 10.15468/jbydfj
title: Bambusa nghiana sp. nov. (Poaceae: Bambusoideae), a new species from Thanh Hoa Province, Vietnam

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tran, Van Tien (2021): Bambusa nghiana sp. nov. (Poaceae: Bambusoideae), a new species from Thanh Hoa Province, Vietnam. Adansonia (3) 43 (19): 217-221, DOI: 10.5252/adansonia2021v43a19
DOI: 10.6084/m9.figshare.16829551
title: Additional file 3 of Active virus-host interactions at sub-freezing temperatures in Arctic peat soil

description: Additional file 2: Supplementary Fig. S1. An overview of methods. Supplementary Fig. S2. A gene-sharing network with RefSeq viruses. Supplementary Fig. S3. vOTUs observed in the SIP fractions. Supplementary Fig. S4. A gene-sharing network with RefSeq and Genbank viruses.
DOI: 10.6084/m9.figshare.16829551.v1
title: Additional file 3 of Active virus-host interactions at sub-freezing temperatures in Arctic peat soil

description: Additional file 2: Supplementary Fig. S1. An overview of methods. Supplementary Fig. S2. A gene-sharing network with RefSeq viruses. Supplementary Fig. S3. vOTUs observed in the SIP fractions. Supplementary Fig. S4. A gene-sharing network with RefSeq and Genbank viruses.
DOI: 10.6084/m9.figshare.16829554
title: Additional file 4 of Active virus-host interactions at sub-freezing temperatures in Arctic peat soil

description: Additional file 3: Supplementary Table S1. Sample information. Supplementary Table 2: Contigs consumed in vOTUs. Supplementary Table 3: List of all vOTUs derived from this study and their statistics. Supplementary Table S4. vOTU taxonomy with RefSeq (v85). Supplementary Table S5. Multiphate annotations. Supplementary Table S6. Putative AMGs and viral genes of interest. Supplementary Table S7. Temperate viruses. Supplementary Table S8. MAG information. Supplementary Table S9. MAG genes. Supplementary Table S10. vOTU-MAG CRISPR spacer matches. Supplementary Table S11. vOTU-MAG BLASTn matches. Supplementary Table 12. vOTU taxonomy with RefSeq (v85) and Genbank.
DOI: 10.6084/m9.figshare.16829554.v1
title: Additional file 4 of Active virus-host interactions at sub-freezing temperatures in Arctic peat soil

description: Additional file 3: Supplementary Table S1. Sample information. Supplementary Table 2: Contigs consumed in vOTUs. Supplementary Table 3: List of all vOTUs derived from this study and their statistics. Supplementary Table S4. vOTU taxonomy with RefSeq (v85). Supplementary Table S5. Multiphate annotations. Supplementary Table S6. Putative AMGs and viral genes of interest. Supplementary Table S7. Temperate viruses. Supplementary Table S8. MAG information. Supplementary Table S9. MAG genes. Supplementary Table S10. vOTU-MAG CRISPR spacer matches. Supplementary Table S11. vOTU-MAG BLASTn matches. Supplementary Table 12. vOTU taxonomy with RefSeq (v85) and Genbank.
DOI: 10.6084/m9.figshare.16829668
title: Additional file 2 of PACmn for improved optogenetic control of intracellular cAMP

description: Additional file 2. Spreadsheets of numerical data in Figures 1, 2, 3, 4, 5, 6 and Figure S3.
DOI: 10.6084/m9.figshare.16829668.v1
title: Additional file 2 of PACmn for improved optogenetic control of intracellular cAMP

description: Additional file 2. Spreadsheets of numerical data in Figures 1, 2, 3, 4, 5, 6 and Figure S3.
DOI: 10.6084/m9.figshare.16829783
title: Additional file 1 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 1: Table 1. The description of KEGG pathway.
DOI: 10.6084/m9.figshare.16829783.v1
title: Additional file 1 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 1: Table 1. The description of KEGG pathway.
DOI: 10.6084/m9.figshare.16829786
title: Additional file 2 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 2: Table 2. The description of protein domains.
DOI: 10.6084/m9.figshare.16829786.v1
title: Additional file 2 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 2: Table 2. The description of protein domains.
DOI: 10.6084/m9.figshare.16829789
title: Additional file 3 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 3: Table 3. The description of clustering analysis.
DOI: 10.6084/m9.figshare.16829789.v1
title: Additional file 3 of Quantitative LC–MS/MS uncovers the regulatory role of autophagy in immune thrombocytopenia

description: Additional file 3: Table 3. The description of clustering analysis.
DOI: 10.6084/m9.figshare.16829849
title: Additional file 1 of Differential enrichment of H3K9me3 at annotated satellite DNA repeats in human cell lines and during fetal development in mouse

description: Additional file 1: Table S1A. Cell lines analyzed in this study. Table S1B. Mouse samples analyzed in this study (produced by Gorkin et al. 2020; UCSD/Ren ENCODE group; ref. [23]).