cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5711659
title: New and incremental FDA black box warnings from 2008 to 2015

description: <b>Background</b>: The boxed warning (also known as ‘black box warning [BBW]’) is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval. <b>Methods</b>: We identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA’s MedWatch and Drug Safety Communications websites. We used each drug’s prescribing information to classify its BBW as new, major update to a preexisting BBW, or minor update. We then characterized these BBWs with respect to pre-specified BBW-specific and drug-specific features. <b>Results</b>: There were 111 BBWs issued to drugs on the US market, of which 29% (n = 32) were new BBWs, 32% (n = 35) were major updates, and 40% (n = 44) were minor updates. New BBWs and major updates were most commonly issued for death (51%) and cardiovascular risk (27%). The new BBWs and major updates impacted 200 drug formulations over the study period, of which 64% were expected to be used chronically and 58% had available alternatives without a BBW. <b>Conclusions</b>: New BBWs and incremental updates to existing BBWs are frequently added to drug labels after regulatory approval.
DOI: 10.6084/m9.figshare.5711659.v1
title: New and incremental FDA black box warnings from 2008 to 2015

description: <b>Background</b>: The boxed warning (also known as ‘black box warning [BBW]’) is one of the strongest drug safety actions that the U.S. Food & Drug Administration (FDA) can implement, and often warns of serious risks. The objective of this study was to comprehensively characterize BBWs issued for drugs after FDA approval. <b>Methods</b>: We identified all post-marketing BBWs from January 2008 through June 2015 listed on FDA’s MedWatch and Drug Safety Communications websites. We used each drug’s prescribing information to classify its BBW as new, major update to a preexisting BBW, or minor update. We then characterized these BBWs with respect to pre-specified BBW-specific and drug-specific features. <b>Results</b>: There were 111 BBWs issued to drugs on the US market, of which 29% (n = 32) were new BBWs, 32% (n = 35) were major updates, and 40% (n = 44) were minor updates. New BBWs and major updates were most commonly issued for death (51%) and cardiovascular risk (27%). The new BBWs and major updates impacted 200 drug formulations over the study period, of which 64% were expected to be used chronically and 58% had available alternatives without a BBW. <b>Conclusions</b>: New BBWs and incremental updates to existing BBWs are frequently added to drug labels after regulatory approval.
DOI: 10.6084/m9.figshare.5711614
title: Additional file 9 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 9. Input data for stocks SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711614.v2
title: Additional file 9 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 9. Input data for stocks SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711614.v1
title: MOESM9 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 9. Input data for stocks SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711608
title: Additional file 8 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 8. Input data for concentration SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711608.v1
title: MOESM8 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 8. Input data for concentration SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711608.v2
title: Additional file 8 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 8. Input data for concentration SOC meta-analyses.
DOI: 10.6084/m9.figshare.5711593
title: Additional file 6 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 6. Tillage studies systematic map database.
DOI: 10.6084/m9.figshare.5711593.v2
title: Additional file 6 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 6. Tillage studies systematic map database.
DOI: 10.6084/m9.figshare.5711593.v1
title: MOESM6 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 6. Tillage studies systematic map database.
DOI: 10.6084/m9.figshare.5711578
title: Additional file 4 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 4. Data extraction files (extracted study findings and effect size calculations from all included studies).
DOI: 10.6084/m9.figshare.5711578.v1
title: MOESM4 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 4. Data extraction files (extracted study findings and effect size calculations from all included studies).
DOI: 10.6084/m9.figshare.5711578.v3
title: Additional file 4 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 4. Data extraction files (extracted study findings and effect size calculations from all included studies).
DOI: 10.6084/m9.figshare.5711578.v2
title: MOESM4 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 4. Data extraction files (extracted study findings and effect size calculations from all included studies).
DOI: 10.6084/m9.figshare.5711566
title: Additional file 3 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 3. Excluded and included articles at full text screening.
DOI: 10.6084/m9.figshare.5711566.v2
title: Additional file 3 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 3. Excluded and included articles at full text screening.
DOI: 10.6084/m9.figshare.5711566.v1
title: MOESM3 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 3. Excluded and included articles at full text screening.
DOI: 10.6084/m9.figshare.5711557
title: Additional file 2 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 2. Unobtainable articles.
DOI: 10.6084/m9.figshare.5711557.v2
title: Additional file 2 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 2. Unobtainable articles.
DOI: 10.6084/m9.figshare.5711557.v1
title: MOESM2 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 2. Unobtainable articles.
DOI: 10.6084/m9.figshare.5711545
title: Additional file 1 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 1. Bibliographic database search record.
DOI: 10.6084/m9.figshare.5711545.v2
title: Additional file 1 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 1. Bibliographic database search record.
DOI: 10.6084/m9.figshare.5711545.v1
title: MOESM1 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 1. Bibliographic database search record.
DOI: 10.6084/m9.figshare.5711533
title: Additional file 14 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 14. Bulk density and effect size calculation checking report.
DOI: 10.6084/m9.figshare.5711533.v2
title: Additional file 14 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 14. Bulk density and effect size calculation checking report.
DOI: 10.6084/m9.figshare.5711533.v1
title: MOESM14 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 14. Bulk density and effect size calculation checking report.
DOI: 10.6084/m9.figshare.5711524
title: Additional file 13 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 13. Stocks SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711524.v2
title: Additional file 13 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 13. Stocks SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711524.v1
title: MOESM13 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 13. Stocks SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711509
title: Additional file 12 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 12. Concentration SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711509.v2
title: Additional file 12 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 12. Concentration SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711509.v1
title: MOESM12 of How does tillage intensity affect soil organic carbon? A systematic review

description: Additional file 12. Concentration SOC meta-analysis R (text file).
DOI: 10.6084/m9.figshare.5711392
title: 3D Geological modelling of the Taupo Volcanic Zone as a foundation for a geothermal reservoir model

description: We present a 3D hydrogeological model of the central Taupo Volcanic Zone (TVZ), including seven geothermal fields. A combination of borehole data, surface geology and structures were used to generate representative geological groups at depth. The geological units in the model area have been combined into seven hydrogeological groups based primarily on rock types with similar hydraulic characteristics, with permeabilities ranging from 9 × 10<sup>−15</sup> to 2 × 10<sup>−9</sup> m<sup>2</sup>. The fault structures used in the model are simplified to nine faults that are laterally extensive or host significant fluid flow. These faults, other than the caldera collapse structures, strike northeast–southwest, reflecting the dominant structural trend in the TVZ. By visualising hydrogeological groups in 3D, realistic geology and hence permeability input data can be more easily integrated into numerical fluid flow models.
DOI: 10.6084/m9.figshare.5711362
title: Breast_MRI_datasets.rar

description: Data contains Breast MRI Data images of 2 patients, for each patient, DCE-MRI,T<sub>2</sub>-W,T<sub>1</sub>-W and PD-W with and without fat saturation are included.
DOI: 10.6084/m9.figshare.5711362.v1
title: Breast_MRI_datasets.rar

description: Data contains Breast MRI Data images of 2 patients, for each patient, DCE-MRI,T<sub>2</sub>-W,T<sub>1</sub>-W and PD-W with and without fat saturation are included.
DOI: 10.6084/m9.figshare.5709859
title: Small-Spotted Catshark Transcriptome Assemblies

description: All transcriptome assemblies for small-spotted catshark including those reused from previous studies.
DOI: 10.6084/m9.figshare.5709859.v1
title: Small-Spotted Catshark Transcriptome Assemblies

description: All transcriptome assemblies for small-spotted catshark including those reused from previous studies.
DOI: 10.6084/m9.figshare.5709853
title: Sequences_Alignments_and_Trees.zip

description: Alignment and tree files for all datasets.
DOI: 10.6084/m9.figshare.5709850
title: Data_JHManson_Life-history-strategy-and-daily-behavior.csv

description: For a sample of 91 UCLA students, contains scores on self-report Arizona Life History Battery, four scales of the HEXACO-60, other-rated California Q-Sort based slow life history score, and behavioral data collected over a 72-hour period using the Electronically Activated Recorder (EAR). The latter includes raw counts of audio clips in which 12 behaviors were observed, as well as counts of the number of audio clips in which these behaviors could possibly have been observed. For further details, see accompanying ReadMe file. For examples of how analyses were carried out in R, see accompanying file "R_code_examples."
DOI: 10.6084/m9.figshare.5709850.v1
title: Data_JHManson_Life-history-strategy-and-daily-behavior.csv

description: For a sample of 91 UCLA students, contains scores on self-report Arizona Life History Battery, four scales of the HEXACO-60, other-rated California Q-Sort based slow life history score, and behavioral data collected over a 72-hour period using the Electronically Activated Recorder (EAR). The latter includes raw counts of audio clips in which 12 behaviors were observed, as well as counts of the number of audio clips in which these behaviors could possibly have been observed. For further details, see accompanying ReadMe file. For examples of how analyses were carried out in R, see accompanying file "R_code_examples."
DOI: 10.6084/m9.figshare.5709784
title: adjusted_10varc30e0.ped

description: SNP data of diverse cauliflower accessions used for the analysis in: <br>Genomic prediction and association mapping of curd-related traits in genebank accessions of cauliflower, G3: Genes, Genomes, Genetics<br>
DOI: 10.6084/m9.figshare.5709784.v1
title: adjusted_10varc30e0.ped

description: SNP data of diverse cauliflower accessions used for the analysis in: <br>Genomic prediction and association mapping of curd-related traits in genebank accessions of cauliflower, G3: Genes, Genomes, Genetics<br>
DOI: 10.6084/m9.figshare.5709760
title: Resolution of complex MDR structures harboring ISCR1-qnrB6 among microbial community

description: All the files are the raw reads data in fasta format generated by Oxford nanopore MinION used in the matched manuscript.
DOI: 10.6084/m9.figshare.5709760.v1
title: Resolution of complex MDR structures harboring ISCR1-qnrB6 among microbial community

description: All the files are the raw reads data in fasta format used in the matched manuscript.
DOI: 10.6084/m9.figshare.5709757
title: Wind erosion simulation

description: Wind erosion simulation
DOI: 10.6084/m9.figshare.5709742
title: Wind erosion simulation

description: Wind erosion simulation
DOI: 10.6084/m9.figshare.5709742.v1
title: Wind erosion simulation

description: Wind erosion simulation
DOI: 10.6084/m9.figshare.5709715
title: Dataset

description: Data for the work titled "Novel resilience in response to revitalisation after exposure to lethal salinity causes differential reproductive success in an extremely plastic organism".<br>Salinity: 12.27 PSU (12.33 g/l), 18.24 PSU (18.33 g/l), 24.22 PSU (24.33 g/l).<br><br><br>Poduced byMouhammad Shadi Khudr, Samuel Alexander Purkiss, Alice de Sampaio Kalkuhl, Reinmar Hager<br><br>Evolution and Genomic SciencesFaculty of Biology, Medicine and HealthThe University of ManchesterManchester UK<br>
DOI: 10.6084/m9.figshare.5709715.v1
title: Dataset

description: Data for the work titled "Novel resilience in response to revitalisation after exposure to lethal salinity causes differential reproductive success in an extremely plastic organism".<br>Salinity: 12.27 PSU (12.33 g/l), 18.24 PSU (18.33 g/l), 24.22 PSU (24.33 g/l).<br><br><br>Poduced byMouhammad Shadi Khudr, Samuel Alexander Purkiss, Alice de Sampaio Kalkuhl, Reinmar Hager<br><br>Evolution and Genomic SciencesFaculty of Biology, Medicine and HealthThe University of ManchesterManchester UK<br>
DOI: 10.6084/m9.figshare.5709709
title: S1. Dataset

description: <i>Psychosis, vulnerability, white noise, first episode psychosis.<br></i>
DOI: 10.6084/m9.figshare.5709691
title: md5HDT.csv

description: HashTable md5 URL from LODLaundromat.
DOI: 10.6084/m9.figshare.5709691.v1
title: md5HDT.csv

description: HashTable md5 URL from LODLaundromat.
DOI: 10.6084/m9.figshare.5709688
title: Wind erosion simulation

description: Simulation of a planet collision
DOI: 10.6084/m9.figshare.5709688.v1
title: Wind erosion simulation

description: Simulation of a planet collision
DOI: 10.6084/m9.figshare.5709682
title: Tasks from Sunday et al "Age-related differential item functioning in tests of face and car recognition ability". Journal of Vision, accepted December 2017

description: Two matching tasks used in the paper <br>Sunday, M. A., Lee, W.-Y., & Gauthier, I. (in press, accepted 2017). Age-related differential item functioning in tests of face and car recognition ability. Journal of Vision.<br>
DOI: 10.6084/m9.figshare.5709658
title: NIL_rf4_tanscriptome seq clean reads for three biological replicates.fastq.gz

description: Comparative transcriptome analysis indicates a key role for tricarboxylic acid cycle-related genes in maize cytoplasmic male fertility restoration
DOI: 10.6084/m9.figshare.5709658.v1
title: NIL_rf4_tanscriptome seq clean reads for three biological replicates.fastq.gz

description: Transcriptome sequencing reveals that Rf4 promotes mitochondrial IDH and OGDH enzymes abundance to rescue maize cytoplasmic male sterility
DOI: 10.6084/m9.figshare.5709646
title: NIL_Rf4_tanscriptome seq clean reads for three biological replicates.fastq.gz

description: Comparative transcriptome analysis indicates a key role for tricarboxylic acid cycle-related genes in maize cytoplasmic male fertility restoration
DOI: 10.6084/m9.figshare.5709646.v1
title: NIL_Rf4_tanscriptome seq clean reads for three biological replicates.fastq.gz

description: Transcriptome sequencing reveals that Rf4 promotes mitochondrial IDH and OGDH enzymes abundance to rescue maize cytoplasmic male sterility
DOI: 10.6084/m9.figshare.5709637
title: NIL_Rf4 and NIL_rf4_genome seq clean reads.fq

description: Comparative transcriptome analysis indicates a key role for tricarboxylic acid cycle-related genes in maize cytoplasmic male fertility restoration
DOI: 10.6084/m9.figshare.5709637.v1
title: NIL_Rf4 and NIL_rf4_genome seq clean reads.fq

description: Transcriptome sequencing reveals that Rf4 promotes mitochondrial IDH and OGDH enzymes abundance to rescue maize cytoplasmic male sterility
DOI: 10.6084/m9.figshare.5709616
title: The TEM images

description: The transmission electron microscopic images (TIF format) derived from C57BL6 mouse tail tendons. The image file are named as ScanNNN.tif, where NNN=1, 2, 3,... 191,192. The images are archived (zip-file) in 8 files, scan001-046, scan049-076, scan079-114, scan115-127, scan127-138, scan135-153, scan154-168, scan169-192, according to the respective age groups 1.6, 2.6, 4.0 11.5, 23.0 29.0 31.5 and 35.3 months. A description of the respective image files is provided in a table,in an MSWord formatted file, TEMtable.doc.
DOI: 10.6084/m9.figshare.5709616.v1
title: The TEM Images

description: The transmission electron microscopic images (TIF format) derived from C57BL6 mouse tail tendons. The images are contained in a zip file, TEM_IMAGES.zip. The image file are named as ScanNNN.tif, where NNN=1, 2, 3,... 191,192. The age of the mice ranges from young to old. A description of the respective image files is provided in a table,in an MSWord formatted file, TEM_IMAGES_LIST-TABLE_SCI_DATA.doc.
DOI: 10.6084/m9.figshare.5709616.v2
title: The TEM images

description: The transmission electron microscopic images (TIF format) derived from C57BL6 mouse tail tendons. The images are contained in a zip file, TEM_IMAGES.zip. The image file are named as ScanNNN.tif, where NNN=1, 2, 3,... 191,192. The age of the mice ranges from young to old. A description of the respective image files is provided in a table,in an MSWord formatted file, TEM_IMAGES_LIST-TABLE_SCI_DATA.doc.
DOI: 10.6084/m9.figshare.5709604
title: multifractal code

description: the multifractal code<br>
DOI: 10.6084/m9.figshare.5709568
title: Additional file 9: of Discovery of the fourth mobile sulfonamide resistance gene

description: Phylogenetic tree of DHPS proteins encoded by chromosomal genes and mobile sulfonamide resistance genes. (TXT 283Â kb)
DOI: 10.6084/m9.figshare.5709568.v1
title: Additional file 9: of Discovery of the fourth mobile sulfonamide resistance gene

description: Phylogenetic tree of DHPS proteins encoded by chromosomal genes and mobile sulfonamide resistance genes. (TXT 283Â kb)
DOI: 10.6084/m9.figshare.5709562
title: Additional file 8: of Discovery of the fourth mobile sulfonamide resistance gene

description: Phylogenetic tree of the identified OXA-variant gene cassettes and 289 known OXA-variants retrieved from the CARD database. (TXT 9Â kb)
DOI: 10.6084/m9.figshare.5709562.v1
title: Additional file 8: of Discovery of the fourth mobile sulfonamide resistance gene

description: Phylogenetic tree of the identified OXA-variant gene cassettes and 289 known OXA-variants retrieved from the CARD database. (TXT 9Â kb)
DOI: 10.6084/m9.figshare.5709559
title: Additional file 7: of Discovery of the fourth mobile sulfonamide resistance gene

description: Protein sequences of the synthesized genes in fasta format. (TXT 1Â kb)
DOI: 10.6084/m9.figshare.5709559.v1
title: Additional file 7: of Discovery of the fourth mobile sulfonamide resistance gene

description: Protein sequences of the synthesized genes in fasta format. (TXT 1Â kb)
DOI: 10.6084/m9.figshare.5709553
title: Additional file 3: FileÂ 3. of Canary: an atomic pipeline for clinical amplicon assays

description: Example Pipeline Commands.txt: Validation pipeline command examples. (TXT 6Â kb)
DOI: 10.6084/m9.figshare.5709553.v1
title: Additional file 3: FileÂ 3. of Canary: an atomic pipeline for clinical amplicon assays

description: Example Pipeline Commands.txt: Validation pipeline command examples. (TXT 6Â kb)
DOI: 10.6084/m9.figshare.5709547
title: Additional file 6: of Discovery of the fourth mobile sulfonamide resistance gene

description: List of metagenomic samples searched for sul4 genes. (XLSX 376Â kb)
DOI: 10.6084/m9.figshare.5709547.v1
title: Additional file 6: of Discovery of the fourth mobile sulfonamide resistance gene

description: List of metagenomic samples searched for sul4 genes. (XLSX 376Â kb)
DOI: 10.6084/m9.figshare.5709544
title: Additional file 2: Table S1. of Canary: an atomic pipeline for clinical amplicon assays

description: xlsx: Comparison statistics for Canary, BWA, GATK and VarDict. (XLSX 45Â kb)
DOI: 10.6084/m9.figshare.5709544.v1
title: Additional file 2: Table S1. of Canary: an atomic pipeline for clinical amplicon assays

description: xlsx: Comparison statistics for Canary, BWA, GATK and VarDict. (XLSX 45Â kb)
DOI: 10.6084/m9.figshare.5709541
title: Additional file 5 of DNA and RNA-sequence based GWAS highlights membrane-transport genes as key modulators of milk lactose content

description: Table S1. All genes used in the functional annotation clusters pathway analysis tool (DAVID), along with the output clusters and associated enrichment scores and enriched annotation classes. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.5709541.v1
title: Additional file 5 of DNA and RNA-sequence based GWAS highlights membrane-transport genes as key modulators of milk lactose content

description: Table S1. All genes used in the functional annotation clusters pathway analysis tool (DAVID), along with the output clusters and associated enrichment scores and enriched annotation classes. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.5709538
title: Additional file 5: of Discovery of the fourth mobile sulfonamide resistance gene

description: Relative abundance of mobile sulfonamide resistance genes (sul1â 4) in metagenomic samples containing sul4. (XLSX 28Â kb)
DOI: 10.6084/m9.figshare.5709535
title: Additional file 9: of Training the salmon’s genes: influence of aerobic exercise, swimming performance and selection on gene expression in Atlantic salmon

description: Differential gene expression detected for exercise regime among the heart from Lærdal superior swimming parr. (ZIP 3092 kb)
DOI: 10.6084/m9.figshare.5709538.v1
title: Additional file 5: of Discovery of the fourth mobile sulfonamide resistance gene

description: Relative abundance of mobile sulfonamide resistance genes (sul1â 4) in metagenomic samples containing sul4. (XLSX 28Â kb)