cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10058390.v1
title: Table 2

description: <b>Table 2.1 </b><b>Summary of the results of the Kirby Bauer Susceptibility tests for for the <i>Staphylococcus equorum</i>dust isolate.</b><b>Table 2.2</b><b>Summary of the results of the MIC results for the <i>Staphylococcus equorum</i>dust isolate.</b><b><br></b>Tests were performed in cation-adjusted Mueller Hinton II broth with <i>Staphylococcus aureus</i>ATCC 29213 strain for comparison. Note 1, 2 – The corresponding zone diameter for the ciprofloxacin 5 μg disk is R&lt;21 mm for <i>S. aureus</i>and R&lt;24 mm for coagulase-negative <i>staphylococci</i>.Note 3, 4 - The corresponding zone diameter for the kanamycin 30 μg disk is R&lt;18 mm for <i>S. aureus</i>and R&lt;22 mm for coagulase-negative <i>staphylococci</i>.* Breakpoints for ampicillin and streptomycin are not documented in the EUCAST Clinical Breakpoint Tables (version 9.0).
DOI: 10.6084/m9.figshare.10058366
title: Table 1

description: <b>Frequent ARGs in dust microbial communities.</b> 20 most frequent ARGs from ShortBRED (Kaminski et al., 2015) quantifications shown, with prevalence indicated over 166 total dust samples.
DOI: 10.6084/m9.figshare.10058375.v1
title: Search area and prey size modifies multiple predator effects

description: Data provided are the raw consumptions data of individual and paired <i>Anisops breddini</i> and <i>A. sardeus </i>(both con- and heterospecific combinations) towards four larval instars of mosquito, <i>Culex quinquefasciatus</i>. Six prey densities were used in the data (i.e., 5. 10, 25, 50, 75, 100). Three levels of water depth and three levels of surface area were used for the experiments, together makes nine different types of arena size.
DOI: 10.6084/m9.figshare.10058366.v1
title: Table 1

description: <b>Frequent ARGs in dust microbial communities.</b> 20 most frequent ARGs from ShortBRED (Kaminski et al., 2015) quantifications shown, with prevalence indicated over 166 total dust samples.
DOI: 10.6084/m9.figshare.10058330
title: Collection localities

description: Collection sites for all butterfly individuals. GPS coordinates for each locality are approximate.
DOI: 10.6084/m9.figshare.10058351.v1
title: Collaborative task scheduling with new task arrival in cloud manufacturing using improved multi-population biogeography-based optimization

description: This is the experimental data of the manuscript entitled "Collaborative task scheduling with new task arrival in cloud manufacturing using improved multi-population biogeography-based optimization". All data are generated through computer simulation and saved in the file with txt format. The data are consistent with the real-world case. The “illustrative case data.txt” is used in Section 5.2 as illustrative examples corresponding to table 1 and table 2, respectively. Other data are used in Section 5.3 and 5.4.
DOI: 10.6084/m9.figshare.10058330.v1
title: Collection localities

description: Collection sites for all butterfly individuals. GPS coordinates for each locality are approximate.
DOI: 10.6084/m9.figshare.10058426
title: dataset4pub.RData

description: Data from mosquito samplings for urban centers in South East Pennsylvania between 2001 and 2015 provided by the Division of Vector Management within the Pennsylvania Department of Environmental Protection (DEP).<br><i>Spectral indices</i> were obtained from data acquired by the MODIS instrument aboard the NASA’s terra satellites. The MOD13Q1 product includes the Normalized Difference Vegetation Index (NDVI) and the Enhanced Vegetation Index (EVI). <br><i>Precipitation and temperature</i> were derived from PRISM (Parameter-elevation Regressions on Independent Slopes). PRISM is an analytical climate model that generates spatial grids with 4 km resolution of temperature and precipitation estimates. <br><i>Land cover</i> was obtained from the National Land Cover Database (NLCD Table 1). The product consists of 20 fuzzy categories representing the proportion of eight broad land cover classes per pixel and is available for 2001, 2006 and 2011). NLCD was also the source for the tree canopy cover (2001, 2011), and imperviousness (2001, 2006, 2011) layers.<i> </i><i>Socioeconomic variables</i> were derived from the decennial census survey and American Community Survey (ACS) at the ZIP code level. Given differences in the area of ZIP codes, we expressed socioeconomic data relative to the ZIP code area to facilitate comparison.
DOI: 10.6084/m9.figshare.10058204
title: Saturation

description: AA saturationPCGs_N saturation
DOI: 10.6084/m9.figshare.10058198
title: my.work.directory.rar

description: <b>METABOLIC PATHWAY ANALYSIS BY LIQUID CHROMATOGRAPHY (UHPLC) COUPLED TO HIGH RESOLUTION MASS SPECTROMETRY (LC/MS)</b>
DOI: 10.6084/m9.figshare.10058198.v1
title: my.work.directory.rar

description: <b>METABOLIC PATHWAY ANALYSIS BY LIQUID CHROMATOGRAPHY (UHPLC) COUPLED TO HIGH RESOLUTION MASS SPECTROMETRY (LC/MS)</b>
DOI: 10.6084/m9.figshare.10058204.v1
title: Untitled Item

description: AA saturationPCGs_N saturation
DOI: 10.6084/m9.figshare.10058105
title: DATA.docx

description: <i>Dynamic Simulation and Path of Water Resources Optimization Allocation Considering Green GDP Growth</i>
DOI: 10.6084/m9.figshare.10058096
title: Bankit

description: Sqn5-colum feature table<br>Biosample tableSRA table<br>
DOI: 10.6084/m9.figshare.10058090
title: Tree_phylobayes

description: Model: MtArt+CAT<br>
DOI: 10.6084/m9.figshare.10058096.v1
title: Bankit

description: Sqn5-colum feature table<br>Biosample tableSRA table<br>
DOI: 10.6084/m9.figshare.10058105.v1
title: DATA.docx

description: <i>Dynamic Simulation and Path of Water Resources Optimization Allocation Considering Green GDP Growth</i>
DOI: 10.6084/m9.figshare.10058084
title: Data Matrix_37_9PCGs_2rRNA

description: 37taxa9PCGs2rRNAaligned with transXConcatenate with Phylosuit<br><br><br>
DOI: 10.6084/m9.figshare.10058090.v1
title: Tree_phylobayes

description: Model: MtArt+CAT<br>
DOI: 10.6084/m9.figshare.10058048
title: ISS data in "A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart"

description: This data set contains <i>in situ</i> sequencing (ISS) data for the paper <b>A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart</b> by <br>Michaela Asp, Stefania Giacomello, Ludvig Larsson, Chenglin Wu, Daniel Fürth, Xiaoyan Qian, Eva Wärdell, Joaquin Custodio, Johan Reimegård, Fredrik Salmén, Cecilia Österholm, Patrik L. Ståhl, Erik Sundström, Elisabet Åkesson, Olaf Bergmann, Magda Bienko, Agneta Månsson-Broberg, Mats Nilsson, Christer Sylvén, Joakim Lundeberg<br>Raw images for the default data shown in the viewer https://moldia.github.io/heart/ are provided, together with cell calling results. Data from other sections are provided as decoded spots. <br><br>Images are named according to base#_channel#_ORG.tifImaging channels are: c1-DAPI c3-T c4-G c5-C c6-A <br>c2 stains all blobs at once to assist image registration, but not essential for image analysis. Not provided here due to data set size limit.<br>Genes and barcodes can be found in "taglist" file<br>
DOI: 10.6084/m9.figshare.10058084.v2
title: Data Matrix_37_9PCGs_2rRNA

description: 37taxa9PCGs2rRNAaligned with transXConcatenate with Phylosuit<br><br><br>
DOI: 10.6084/m9.figshare.10058084.v1
title: data matrix

description: 37taxa9PCGs2rRNAaligned with transX<br>
DOI: 10.6084/m9.figshare.10057964
title: MOESM2 of Hepatitis B virus perceptions and health seeking behaviors among pregnant women in Uganda: implications for prevention and policy

description: Additional file 2. Knowledge, perceptions and behavioral intentions dataset. A dataset provided as excel spread sheets. It contains data on socio-demographic, knowledge, perceptions and behavioral intentions variables that were used to perform analyses for the findings reported in this manuscript. Dataset contains variables pertaining to each respondent: identification number, age, gender, nationality, religion (age, gender, nationality and religion of respondent), primary tribe (respondent’s ethnic tribe), marital status (form of marital union), education level (highest education attained), variables c1-c6 describe participant’s personal risk of getting HBV or liver cancer, c7-c13 describe participant’s perceived risk of their child under five years getting HBV or liver cancer, c14-c18 describe participant’s perceived risk of their spouse getting HBV or liver cancer. c1ds-c8ds describe perceived HBV disease severity, pm1-pm7 describe perceived benefits, pb1-pb11 describe perceived barriers, pse12-pse15 describe perceived self-efficacy, bi01-bi04 describe behavioral intentions.
DOI: 10.6084/m9.figshare.10057964.v1
title: MOESM2 of Hepatitis B virus perceptions and health seeking behaviors among pregnant women in Uganda: implications for prevention and policy

description: Additional file 2. Knowledge, perceptions and behavioral intentions dataset. A dataset provided as excel spread sheets. It contains data on socio-demographic, knowledge, perceptions and behavioral intentions variables that were used to perform analyses for the findings reported in this manuscript. Dataset contains variables pertaining to each respondent: identification number, age, gender, nationality, religion (age, gender, nationality and religion of respondent), primary tribe (respondent’s ethnic tribe), marital status (form of marital union), education level (highest education attained), variables c1-c6 describe participant’s personal risk of getting HBV or liver cancer, c7-c13 describe participant’s perceived risk of their child under five years getting HBV or liver cancer, c14-c18 describe participant’s perceived risk of their spouse getting HBV or liver cancer. c1ds-c8ds describe perceived HBV disease severity, pm1-pm7 describe perceived benefits, pb1-pb11 describe perceived barriers, pse12-pse15 describe perceived self-efficacy, bi01-bi04 describe behavioral intentions.
DOI: 10.6084/m9.figshare.12863618.v1
title: R0186_20170904a_videos

description: Rat 0186, skilled reaching data collected on 9/4/2017 in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.10057940
title: MOESM9 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 9. Elena (EL) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a space (I, II, III)â the IGS ordinal position in WAG137G4_utg0 contig.
DOI: 10.6084/m9.figshare.10057931
title: MOESM8 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 8. Alsu (AL) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a spaceâ the IGS ordinal position in WAG137G4_utg0 contig. I, II, and IIIâ rDNA unit number in the contig.
DOI: 10.17632/58nf2x8sz7.1
title: Raw file of Mass Spec from Beijing ICOP study group (2017-2020)

description: This data set saves the raw mass spectrometry files of the Beijing ICOP study group on the study of ‘Association of serum retinol concentration with normal-tension glaucoma’. We saved the mass spectrometry results of 345 subjects in the 3 groups in the form of raw files.
DOI: 10.6084/m9.figshare.10057940.v1
title: MOESM9 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 9. Elena (EL) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a space (I, II, III)â the IGS ordinal position in WAG137G4_utg0 contig.
DOI: 10.6084/m9.figshare.10057925
title: MOESM7 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 7. Svetlana (SV) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a spaceâ the IGS ordinal position in WAG137G4_utg0 contig. I, II, and IIIâ rDNA unit number in the contig.
DOI: 10.6084/m9.figshare.10057931.v1
title: MOESM8 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 8. Alsu (AL) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a spaceâ the IGS ordinal position in WAG137G4_utg0 contig. I, II, and IIIâ rDNA unit number in the contig.
DOI: 10.6084/m9.figshare.10057925.v1
title: MOESM7 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 7. Svetlana (SV) repeat alignment. The numbers following the respective repeat names indicate the repeat ordinal position in the IGS; the numbers following after a spaceâ the IGS ordinal position in WAG137G4_utg0 contig. I, II, and IIIâ rDNA unit number in the contig.
DOI: 10.6084/m9.figshare.10057898
title: MOESM5 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 5: Table S3. Sequence variants of three chicken rRNA clusters from WAG137G04 BAC clone with coordinates, numbers, types, and variant frequencies per kilobases.
DOI: 10.6084/m9.figshare.10057895
title: MOESM10 of Physiological and transcriptome analysis reveal molecular mechanism in Salvia miltiorrhiza leaves of near-isogenic male fertile lines and male sterile lines

description: Additional file 10: Excel S1. Mapping files of nucleic acid sequences in S. miltiorrhiza.
DOI: 10.6084/m9.figshare.10057898.v1
title: MOESM5 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 5: Table S3. Sequence variants of three chicken rRNA clusters from WAG137G04 BAC clone with coordinates, numbers, types, and variant frequencies per kilobases.
DOI: 10.6084/m9.figshare.10057886
title: MOESM2 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 2: Table S1. Identification of the best evolutionary model for the description of sequence evolution in Elena (EL) repeats.
DOI: 10.6084/m9.figshare.10057895.v1
title: MOESM10 of Physiological and transcriptome analysis reveal molecular mechanism in Salvia miltiorrhiza leaves of near-isogenic male fertile lines and male sterile lines

description: Additional file 10: Excel S1. Mapping files of nucleic acid sequences in S. miltiorrhiza.
DOI: 10.6084/m9.figshare.10057889
title: MOESM3 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 3: Table S2. Identification of the best evolutionary model for the description of sequence evolution in Valerie (VAL) repeats.
DOI: 10.6084/m9.figshare.10057889.v1
title: MOESM3 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 3: Table S2. Identification of the best evolutionary model for the description of sequence evolution in Valerie (VAL) repeats.
DOI: 10.6084/m9.figshare.10057871
title: MOESM11 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 11. Valerie (VAL) repeat alignment. The numbers following repeat names indicate the repeat ordinal position in the IGS; the numbers following after a space (I, II, III)â the IGS ordinal position in WAG137G4_utg0 contig.
DOI: 10.6084/m9.figshare.10057886.v1
title: MOESM2 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 2: Table S1. Identification of the best evolutionary model for the description of sequence evolution in Elena (EL) repeats.
DOI: 10.6084/m9.figshare.10057871.v1
title: MOESM11 of Structure of the intergenic spacers in chicken ribosomal DNA

description: Additional file 11. Valerie (VAL) repeat alignment. The numbers following repeat names indicate the repeat ordinal position in the IGS; the numbers following after a space (I, II, III)â the IGS ordinal position in WAG137G4_utg0 contig.
DOI: 10.6084/m9.figshare.10057829
title: MOESM3 of Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool

description: Additional file 3: Example Testing History Dataset. A dataset of the form that can be processed by the Infection Dating Tool, for three subjects. The data in this file are demonstrative and do not come from real subjects. Subject A had discordant test results on a single date, with the more sensitive test producing a positive result and the less sensitive test a negative result. Subject B seroconverted between two dates separated by some months. Subject C had a large number of tests, and first produced negative results, then discordant results (positive only on a NAT assay), then an immature antibody response, and finally exhibited a fully reactive Western blot. (CSV 704 bytes)
DOI: 10.6084/m9.figshare.10057829.v1
title: MOESM3 of Interpreting HIV diagnostic histories into infection time estimates: analytical framework and online tool

description: Additional file 3: Example Testing History Dataset. A dataset of the form that can be processed by the Infection Dating Tool, for three subjects. The data in this file are demonstrative and do not come from real subjects. Subject A had discordant test results on a single date, with the more sensitive test producing a positive result and the less sensitive test a negative result. Subject B seroconverted between two dates separated by some months. Subject C had a large number of tests, and first produced negative results, then discordant results (positive only on a NAT assay), then an immature antibody response, and finally exhibited a fully reactive Western blot. (CSV 704 bytes)
DOI: 10.6084/m9.figshare.10057823
title: MOESM12 of ATXN1 N-terminal region explains the binding differences of wild-type and expanded forms

description: Additional file 12:. List of PDB files describing the interaction of wt (ATXN1Q29) and expanded (ATXN1Q82) ATXN1 with 71 interactors. Files can be downloaded from Zenodo DOI: https://doi.org/10.5281/zenodo.3416591 .
DOI: 10.6084/m9.figshare.10057823.v1
title: MOESM12 of ATXN1 N-terminal region explains the binding differences of wild-type and expanded forms

description: Additional file 12:. List of PDB files describing the interaction of wt (ATXN1Q29) and expanded (ATXN1Q82) ATXN1 with 71 interactors. Files can be downloaded from Zenodo DOI: https://doi.org/10.5281/zenodo.3416591 .
DOI: 10.6084/m9.figshare.10057802
title: MOESM1 of Liddle syndrome due to a novel mutation in the Îł subunit of the epithelial sodium channel (ENaC) in family from Russia: a case report

description: Additional file 1. Genes and exons that have been sequenced in all patients. The file is a list of genes that were sequenced during the analysis, with indication of the number of sequenced exons for each gene.
DOI: 10.6084/m9.figshare.10057799
title: MOESM2 of Comparative analysis of trends and determinants of anaemia between adult and teenage pregnant women in two rural districts of Ghana

description: Additional file 2. A compilation of the raw data collected from the ANC records of the participants included in this study. (XLSX 78 kb)
DOI: 10.6084/m9.figshare.10057802.v1
title: MOESM1 of Liddle syndrome due to a novel mutation in the Îł subunit of the epithelial sodium channel (ENaC) in family from Russia: a case report

description: Additional file 1. Genes and exons that have been sequenced in all patients. The file is a list of genes that were sequenced during the analysis, with indication of the number of sequenced exons for each gene.
DOI: 10.6084/m9.figshare.10057790
title: MOESM1 of Comparative analysis of trends and determinants of anaemia between adult and teenage pregnant women in two rural districts of Ghana

description: Additional file 1. A compilation of the raw data collected from all health centres included in this study. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.10057799.v1
title: MOESM2 of Comparative analysis of trends and determinants of anaemia between adult and teenage pregnant women in two rural districts of Ghana

description: Additional file 2. A compilation of the raw data collected from the ANC records of the participants included in this study. (XLSX 78 kb)
DOI: 10.6084/m9.figshare.10057790.v1
title: MOESM1 of Comparative analysis of trends and determinants of anaemia between adult and teenage pregnant women in two rural districts of Ghana

description: Additional file 1. A compilation of the raw data collected from all health centres included in this study. (XLSX 14 kb)
DOI: 10.6084/m9.figshare.10057727
title: MOESM8 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 8: Table S8. Fusion transcripts.
DOI: 10.6084/m9.figshare.10057733
title: MOESM9 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 9: Table S9. Alternative Splicing Variants.
DOI: 10.6084/m9.figshare.10057727.v1
title: MOESM8 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 8: Table S8. Fusion transcripts.
DOI: 10.6084/m9.figshare.10057718
title: MOESM6 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 6: Table S6. Genes without pathogenic mutations but significantly deregulated.
DOI: 10.6084/m9.figshare.10057724
title: MOESM7 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 7: Table S7. Genes without pathogenic mutations but significantly deregulated included in the list of most frequent altered genes.
DOI: 10.6084/m9.figshare.10057733.v1
title: MOESM9 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 9: Table S9. Alternative Splicing Variants.
DOI: 10.6084/m9.figshare.10057712
title: MOESM5 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 5: Table S5. Genes included in the most frequently altered ones in T-ALL.
DOI: 10.6084/m9.figshare.10057718.v1
title: MOESM6 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 6: Table S6. Genes without pathogenic mutations but significantly deregulated.
DOI: 10.6084/m9.figshare.10057724.v1
title: MOESM7 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 7: Table S7. Genes without pathogenic mutations but significantly deregulated included in the list of most frequent altered genes.
DOI: 10.6084/m9.figshare.10057709
title: MOESM4 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 4: Table S4. Results of crossing exome and transcriptome data.
DOI: 10.6084/m9.figshare.10057712.v1
title: MOESM5 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 5: Table S5. Genes included in the most frequently altered ones in T-ALL.
DOI: 10.6084/m9.figshare.10057706
title: MOESM3 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 3: Table S3. Deregulated genes after RNA-Sequencing.
DOI: 10.6084/m9.figshare.10057709.v1
title: MOESM4 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 4: Table S4. Results of crossing exome and transcriptome data.
DOI: 10.6084/m9.figshare.10057700
title: MOESM2 of The use of PanDrugs to prioritize anticancer drug treatments in a case of T-ALL based on individual genomic data

description: Additional file 2: Table S2. WES annotation process.