cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14343539
title: IFN 4 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343524
title: RNA 8 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343530
title: RNA 24 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343533.v1
title: RNA 48 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343530.v1
title: RNA 24 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343518
title: RNA 2 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343521
title: RNA 4 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343521.v1
title: RNA 4 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343524.v1
title: RNA 8 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.6084/m9.figshare.14343518.v1
title: RNA 2 hrs

description: For live cell imaging, no contrast or background subtraction was applied to any frames analysed. For each condition and timepoint, 3 FoV movies from 2 biological replicates (n=6 movies from each condition) were acquired with a total of 49 images per movie (500 ms exposure, images captured every 5 seconds). Image stacks were imported into FIJI analysis software where drift alignments were performed (do I reference this??). For each FoV image, ROIs were drawn around single cell outlines for LD tracking analysis. LD tracking was performed using the ‘TrackMate’ plug-in on FIJI analysis software with the following parameters: estimated blog diameter= 0.5 μm, threshold= 500. Simple linear Assignment Problem (LAP) tracker was used to link together identified tracks with the following parameters: Linking max distance= 1 μm, gap-closing max distance= 1 μm, and gap-closing max frame gap= 0 μm to ensure no false positive tracks were linked. Data was extracted for mean speed, displacement, and track quality.
DOI: 10.5281/zenodo.4649432
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.4646934
title: Role of Secondary Structure in the Adsorption Mechanisms of RNA onto Flat Substrates

description: Data and analysis scripts of Umbrella Sampling CG simulations of RNA under the effect of an attractive surface. Trajectory files available upon request at simon.poblete at uach.cl
DOI: 10.5281/zenodo.4646933
title: Role of Secondary Structure in the Adsorption Mechanisms of RNA onto Flat Substrates

description: Data and analysis scripts of Umbrella Sampling CG simulations of RNA under the effect of an attractive surface. Trajectory files available upon request at simon.poblete at uach.cl
DOI: 10.25345/c5n22v
title: MassIVE MSV000087130 - GNPS - Bacteroides thetaiotaomicron
title: Time-course pilot culture of Bacteroides thetaiotaomicron VPI-5482 NCBI:txid818 (Zengler Lab UCSD) in diluted BHI enriched with chemical compounds under anaerobic conditions. Data was acquired in positive ion mode.
DOI: 10.6084/m9.figshare.14343773.v1
title: Ribosomal protein database of Staphylococcus xylosus

description: This work presents the ribosomal protein database of <i>Staphylococcus xylosus</i>. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.6084/m9.figshare.14343773
title: Ribosomal protein database of Staphylococcus xylosus

description: This work presents the ribosomal protein database of <i>Staphylococcus xylosus</i>. Original data for the work came from the annotated proteome data of the bacterium downloaded from UniProt. Using an in-house MATLAB ribosomal protein database analysis software, the original proteome data file was parsed to extract protein name and amino acid sequence of all ribosomal proteins in the species. The database also includes calculated variables such as number of residues, molecular weight, and nucleotide sequence. Overall, the presented database could serve as a ribosomal protein mass fingerprint for use in microbial identification, or it could be used in fundamental studies seeking to uncover new insights into ribosomal protein biology.
DOI: 10.25345/c5hb91
title: MassIVE MSV000087131 - raw data files for "Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity"
title: This is the dataset associated with the following publication: Improved Annotation of Untargeted Metabolomics Data through Buffer Modifications That Shift Adduct Mass and Intensity. Wenyun Lu, Xi Xing, Lin Wang, Li Chen, Sisi Zhang, Melanie R McReynolds, Joshua D Rabinowitz. Anal Chem. 2020 Sep 1;92(17):11573-11581. doi: 10.1021/acs.analchem.0c00985
DOI: 10.5517/ccdc.csd.cc26v9n1
title: CCDC 2051073: Experimental Crystal Structure Determination

description: Related Article: Carl D. Estrada, Hwee Ting Ang, Kim-Marie Vetter, Ashley A. Ponich, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|4162|doi:10.1021/jacs.1c00759
DOI: 10.5517/ccdc.csd.cc2717r9
title: CCDC 2056780: Experimental Crystal Structure Determination

description: Related Article: Yik Ki Au, Jie Zhang, Yangjian Quan, Zuowei Xie|2021|J.Am.Chem.Soc.|143|4148|doi:10.1021/jacs.1c00593
DOI: 10.5517/ccdc.csd.cc2717tc
title: CCDC 2056782: Experimental Crystal Structure Determination

description: Related Article: Yik Ki Au, Jie Zhang, Yangjian Quan, Zuowei Xie|2021|J.Am.Chem.Soc.|143|4148|doi:10.1021/jacs.1c00593
DOI: 10.5517/ccdc.csd.cc2717vd
title: CCDC 2056783: Experimental Crystal Structure Determination

description: Related Article: Yik Ki Au, Jie Zhang, Yangjian Quan, Zuowei Xie|2021|J.Am.Chem.Soc.|143|4148|doi:10.1021/jacs.1c00593
DOI: 10.5517/ccdc.csd.cc2717wf
title: CCDC 2056784: Experimental Crystal Structure Determination

description: Related Article: Yik Ki Au, Jie Zhang, Yangjian Quan, Zuowei Xie|2021|J.Am.Chem.Soc.|143|4148|doi:10.1021/jacs.1c00593
DOI: 10.5517/ccdc.csd.cc278hcd
title: CCDC 2063743: Experimental Crystal Structure Determination

description: Related Article: Carl D. Estrada, Hwee Ting Ang, Kim-Marie Vetter, Ashley A. Ponich, Dennis G. Hall|2021|J.Am.Chem.Soc.|143|4162|doi:10.1021/jacs.1c00759
DOI: 10.5517/ccdc.csd.cc2717sb
title: CCDC 2056781: Experimental Crystal Structure Determination

description: Related Article: Yik Ki Au, Jie Zhang, Yangjian Quan, Zuowei Xie|2021|J.Am.Chem.Soc.|143|4148|doi:10.1021/jacs.1c00593
DOI: 10.6084/m9.figshare.12821786.v1
title: List of Selected Articles

description: This dateset contain (1) List of articles resulted from the original search (2) List of articles selected for full text review (3) List of selected articles with key data extracted
DOI: 10.6084/m9.figshare.14343824
title: Table S1

description: The phosphoproteins identified in liver tissue.
DOI: 10.6084/m9.figshare.14343824.v2
title: Table S1

description: The phosphoproteins identified in liver tissue.
DOI: 10.6084/m9.figshare.14343824.v1
title: Table S1

description: The phosphoproteins identified in liver tissue.
DOI: 10.5281/zenodo.4649497
title: Supplementary materials for "Evolution of reproductive life history in mammals and the associated change of functional constraints"

description: Supplementary tables of paper "Evolution of reproductive life history in mammals and the associated change of functional constraints".
DOI: 10.5281/zenodo.4649496
title: Supplementary materials for "Evolution of reproductive life history in mammals and the associated change of functional constraints"

description: Supplementary tables of paper "Evolution of reproductive life history in mammals and the associated change of functional constraints".
DOI: 10.6084/m9.figshare.14343830
title: Table S2

description: The phosphoproteins identified in liver tissue of neonatal calves ingested colostrum.
DOI: 10.6084/m9.figshare.14343830.v2
title: Table S2

description: The phosphoproteins identified in liver tissue of neonatal calves ingested colostrum.
DOI: 10.6084/m9.figshare.14343830.v1
title: Table S2

description: The phosphoproteins identified in liver tissue of neonatal calves ingested colostrum.
DOI: 10.6084/m9.figshare.14343851
title: Table S3

description: The phosphoproteins identified in liver tissue of neonatal calves ingested milk.
DOI: 10.6084/m9.figshare.14343851.v2
title: Table S3

description: The phosphoproteins identified in liver tissue of neonatal calves ingested milk.
DOI: 10.6084/m9.figshare.14343851.v1
title: Table S3

description: The phosphoproteins identified in liver tissue of neonatal calves ingested milk.
DOI: 10.6084/m9.figshare.14343857
title: Table S4

description: The phosphoproteins identified in liver tissue of neonatal calves ingested northing.
DOI: 10.6084/m9.figshare.14343857.v2
title: Table S4

description: The phosphoproteins identified in liver tissue of neonatal calves ingested northing.
DOI: 10.6084/m9.figshare.14343857.v1
title: Table S4

description: The phosphoproteins identified in liver tissue of neonatal calves ingested northing.
DOI: 10.6084/m9.figshare.14343932.v1
title: The list of deferentially expressed genes identified by pairwise comparisons in Mulberry

description: This dataset showed the detailed information of DEGs in mulberry with waterlogging.
DOI: 10.6084/m9.figshare.14343932
title: The list of deferentially expressed genes identified by pairwise comparisons in Mulberry

description: This dataset showed the detailed information of DEGs in mulberry with waterlogging.
DOI: 10.6084/m9.figshare.14343863
title: Table S5

description: The differentially expressed phosphoproteins in liver tissue of neonatal calves under different feeding condition.
DOI: 10.6084/m9.figshare.14343863.v2
title: Table S5

description: The differentially expressed phosphoproteins in liver tissue of neonatal calves under different feeding condition.
DOI: 10.6084/m9.figshare.14343863.v1
title: Table S5

description: The differentially expressed phosphoproteins in liver tissue of neonatal calves under different feeding condition.
DOI: 10.6084/m9.figshare.14343869
title: Table S6

description: The differentially expressed phosphoproteins in CG versus MG comparison.
DOI: 10.6084/m9.figshare.14343869.v1
title: Table S6

description: The differentially expressed phosphoproteins in CG versus MG comparison.
DOI: 10.6084/m9.figshare.12821786
title: List of Selected Articles

description: This dataset contain (1) List of articles resulted from the original search (2) List of articles selected for full text review (3) List of selected articles with key data extracted (4) summary of quality scores (5) quality assessment checklist
DOI: 10.6084/m9.figshare.12821786.v2
title: List of Selected Articles

description: This dataset contain (1) List of articles resulted from the original search (2) List of articles selected for full text review (3) List of selected articles with key data extracted (4) summary of quality scores (5) quality assessment checklist
DOI: 10.6084/m9.figshare.14343872
title: Table S7

description: The differentially expressed phosphoproteins in CG versus CON comparison.
DOI: 10.6084/m9.figshare.14343872.v1
title: Table S7

description: The differentially expressed phosphoproteins in CG versus CON comparison.
DOI: 10.6084/m9.figshare.14343875
title: Table S8

description: The differentially expressed phosphoproteins in MG versus CON comparison.
DOI: 10.6084/m9.figshare.14343875.v1
title: Table S8

description: The differentially expressed phosphoproteins in MG versus CON comparison.
DOI: 10.6084/m9.figshare.14343878
title: Table S9

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in CG versus MG comparison
DOI: 10.6084/m9.figshare.14343878.v1
title: Table S9

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in CG versus MG comparison
DOI: 10.6084/m9.figshare.14343881
title: Table S10

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in CG versus CON comparison.
DOI: 10.6084/m9.figshare.14343881.v1
title: Table S10

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in CG versus CON comparison.
DOI: 10.6084/m9.figshare.14343887
title: Table S11

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in MG versus CON comparison.
DOI: 10.6084/m9.figshare.14343887.v1
title: Table S11

description: GO enrichment analysis for the parental genes of differentially expressed phosphoproteins in MG versus CON comparison.
DOI: 10.6084/m9.figshare.13214699
title: The successful reintroduction of African wild dogs (Lycaon pictus) to Gorongosa National Park, Mozambique

description: The three csv files contain all the GPS collar data for all collared African wild dogs and lions in Gorongosa National Park and kills between June 2018 and September 2020.The five R scripts contain code for cleaning wild dog and lion GPS collar data, conducting analyses, creating territories and creating maps.
DOI: 10.6084/m9.figshare.12949349.v1
title: The role of non-axisymmetry of magnetic flux rope in constraining solar eruptions

description: fig1.sav: Data for plotting Figure 1;<br>fig2.sav: Data for plotting Figure 2;fig3.sav: Data for plotting Figure 3;fig4.sav: Data for plotting Figure 4;fig5.sav: Data for plotting Figure 5;fig6.sav: Data for plotting Figure 6;sfig1.sav: Data for plotting Supplementary Figure 1;sfig2.sav: Data for plotting Supplementary Figure 2;sfig3.sav: Data for plotting Supplementary Figure 3;sfig4.psd: Cartoon picture for Supplementary Figure 4;sfig5.psd: Cartoon picture for Supplementary Figure 5;sfig6.sav: Data for plotting Supplementary Figure 6;sfig7.sav: Data for plotting Supplementary Figure 7;sfig8.sav: Data for plotting Supplementary Figure 8;sfig9.sav: Data for plotting Supplementary Figure 9;fig_R1.sav: Data for plotting response Figure R1;fig_R2.sav: Data for plotting response Figure R2;fig_R3.sav: Data for plotting response Figure R3.Except for sfig4.psd and sfig5.psd, all other files can be opened in Interactive Data Language (IDL) with command 'restore,filename'.<br>
DOI: 10.18141/1771863
title: Utah Hyper-Local Urban Greenhouse Gas Source

description: Data collected in 2019 at the University of Utah. A Panda Express restaurant vent on the roof of the student union was used as a large source of CO2 and CH4. Two remote towers collected data from various locations on the roof in an effort to identify strategies for source location and quantification.
DOI: 10.21227/jyce-cr23
title: February-02-Dong-Jiawei

description: February-02-Dong-Jiawei