cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28053041.v1
title: SARS-CoV-2 infection on hematologic markers

description: Impact of SARS-CoV-2 infection on hematologic markers, liver and kidney functions in cases with schizophrenia patients
DOI: 10.6084/m9.figshare.c.3799267_d5
title: MOESM3 of Development of an objective gene expression panel as an alternative to self-reported symptom scores in human influenza challenge trials

description: Additional file 3: Table S2. Table with per subject daily symptom scores.
DOI: 10.6084/m9.figshare.c.3799294_d1.v1
title: Additional file 1: Supplementary Tables. of Multiple gene movements into and out of haploid sex chromosomes

description: Table S1. Genes present in the male and female sex-specific region of the Ectocarpus sp. sex chromosome. Table S2. Strains used in this study, sequencing statistics and accession numbers. Table S3. Synonymous nucleotide substitutions (dS) for gametologue pairs in the brown algae included in this study. Table S4. Molecular evolutionary features and transcript levels of Ectocarpus sp. and S. japonica sex-linked genes. Table S5. PAML codeml analysis for evidence of positive selection acting on SDR genes using sequences from three Ectocarpus species and S. lomentaria. Table S6. Sex-linked genes and their autosomal homologues in Ectocarpus sp. (Esp), S. lomentaria (Slom), S. japonica (Sjap), M. pyrifera (Mpyr) and U. pinnatifida (Upin). Table S7. Orphan retrogenes in S. japonica for which the parental copy homologue is still present in Ectocarpus sp. genome. Table S8. Nucleotide and protein sequence of the orthologs of the Ectocarpus sp. male and female SDR genes recovered from E. siliculosus, E. fasciculatus, S. lomentaria, S. japonica, M. pyrifera and U. pinnatifida. Table S9. Strains of S. japonica used in this study to correlate phenotypic and genotypic sex. Table S10. Primers used to determine sex linkage in S. japonica. Table S11 Assessment of phenotypic and genotypic sex in S. japonica individuals. (XLSX 318 kb)
DOI: 10.15468/dl.6a2nt4
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyagonus infraspinatus (Gilbert, 1904)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038949-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3799279_d2.v1
title: Additional File 2: Table S2.

description: List of genes present in each group of Fig. 3, together with their function, obtained after GeneCodis analysis regarding biological annotations with statistical relevance at T1. (XLSX 9 kb)
DOI: 10.6084/m9.figshare.c.3799279_d2
title: Additional File 2: Table S2.

description: List of genes present in each group of Fig. 3, together with their function, obtained after GeneCodis analysis regarding biological annotations with statistical relevance at T1. (XLSX 9 kb)
DOI: 10.7303/syn64418176.1
title: CT tissue
DOI: 10.15468/dl.s6zkxz
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vespa soror Buysson, 1905)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 302 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038948-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3799342_d1
title: Additional file 1: Table S1. of A novel KCNQ1 nonsense variant in the isoform-specific first exon causes both jervell and Lange-Nielsen syndrome 1 and long QT syndrome 1: a case report

description: The probandâ  s (II-2 in Fig. 2) results of genetic screening of LQT causative genes (KCNQ1, KCNH2, SCN5A, KCNE1, KCNE2, KCNJ2, SCN4B, KCNJ5). Entire coding exons, including the intronic boundaries of the genes were analyzed. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3799342_d1.v1
title: Additional file 1: Table S1. of A novel KCNQ1 nonsense variant in the isoform-specific first exon causes both jervell and Lange-Nielsen syndrome 1 and long QT syndrome 1: a case report

description: The probandâ  s (II-2 in Fig. 2) results of genetic screening of LQT causative genes (KCNQ1, KCNH2, SCN5A, KCNE1, KCNE2, KCNJ2, SCN4B, KCNJ5). Entire coding exons, including the intronic boundaries of the genes were analyzed. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3799315_d6.v1
title: Additional file 3: Table S2. of Label-free quantitative proteomics of Corynebacterium pseudotuberculosis isolates reveals differences between Biovars ovis and equi strains

description: Total list of proteins identified in the exclusive proteome of 1002_ovis. (XLSX 20Â kb)
DOI: 10.6084/m9.figshare.c.3799339_d3.v1
title: Additional file 3: of brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets

description: List of zinc transporter genes. (CSV 189 bytes)
DOI: 10.6084/m9.figshare.c.3799315_d6
title: Additional file 3: Table S2. of Label-free quantitative proteomics of Corynebacterium pseudotuberculosis isolates reveals differences between Biovars ovis and equi strains

description: Total list of proteins identified in the exclusive proteome of 1002_ovis. (XLSX 20Â kb)
DOI: 10.15468/dl.ywpccw
title: Occurrence Download

description: A dataset containing 178 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paralvinella sulfincola Desbruyères & Laubier, 1993"
 ]
}

 The dataset includes 178 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038950-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3799339_d3
title: Additional file 3: of brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets

description: List of zinc transporter genes. (CSV 189 bytes)
DOI: 10.6084/m9.figshare.c.3799315_d7.v1
title: Additional file 4: Table S3. of Label-free quantitative proteomics of Corynebacterium pseudotuberculosis isolates reveals differences between Biovars ovis and equi strains

description: Total list of proteins identified in the exclusive proteome of 258_equi. (XLSX 21Â kb)
DOI: 10.6084/m9.figshare.c.3799339_d4.v1
title: Additional file 4: of brain-coX: investigating and visualising gene co-expression in seven human brain transcriptomic datasets

description: List of genes associated with epilepsy. (CSV 509 bytes)
DOI: 10.6084/m9.figshare.c.3799315_d7
title: Additional file 4: Table S3. of Label-free quantitative proteomics of Corynebacterium pseudotuberculosis isolates reveals differences between Biovars ovis and equi strains

description: Total list of proteins identified in the exclusive proteome of 258_equi. (XLSX 21Â kb)
DOI: 10.7303/syn64418282.1
title: MRI T1 SAG
DOI: 10.6084/m9.figshare.c.3799372_d4.v1
title: MOESM4 of Health system governance to support scale up of mental health care in Ethiopia: a qualitative study

description: Additional file 4. Analysis matrix 1.
DOI: 10.6084/m9.figshare.c.3799372_d4
title: MOESM4 of Health system governance to support scale up of mental health care in Ethiopia: a qualitative study

description: Additional file 4. Analysis matrix 1.
DOI: 10.6084/m9.figshare.c.3799363_d7.v1
title: Additional file 7: Table S2. of Identification of bakanae disease resistance loci in japonica rice through genome wide association study

description: List of candidate genes, functionally annotated, selected on the base of the FDR value. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.c.3799372_d5
title: MOESM5 of Health system governance to support scale up of mental health care in Ethiopia: a qualitative study

description: Additional file 5. Analysis matrix 2.
DOI: 10.6084/m9.figshare.c.3799372_d5.v1
title: MOESM5 of Health system governance to support scale up of mental health care in Ethiopia: a qualitative study

description: Additional file 5. Analysis matrix 2.
DOI: 10.7303/syn64418319
title: MRI T2 SAG
DOI: 10.6084/m9.figshare.c.3799363_d7
title: Additional file 7: Table S2. of Identification of bakanae disease resistance loci in japonica rice through genome wide association study

description: List of candidate genes, functionally annotated, selected on the base of the FDR value. (XLSX 14Â kb)
DOI: 10.6084/m9.figshare.c.3799363_d8.v1
title: Additional file 8: Table S3. of Identification of bakanae disease resistance loci in japonica rice through genome wide association study

description: List of candidate genes selected from Differentially Expressed Genes (DEGs). (XLSX 13Â kb)
DOI: 10.7303/syn64418378
title: MRI T2 TRA
DOI: 10.15468/dl.v4j5p2
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyagonus nigripinnis Gilbert, 1890",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038952-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3800395_d4
title: Additional file 4: of Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan

description: Proast script for decreased T3. Description of data: Lines of script used in Proast for calculations of the CEDanimal for decreased T3. (TXT 4Â kb)
DOI: 10.6084/m9.figshare.c.3800395_d5.v1
title: Additional file 5: of Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan

description: Proast script for early pubertal development. Lines of script used in Proast for calculations of the CEDanimal for early pubertal development. (TXT 2Â kb)
DOI: 10.6084/m9.figshare.c.3800395_d5
title: Additional file 5: of Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan

description: Proast script for early pubertal development. Lines of script used in Proast for calculations of the CEDanimal for early pubertal development. (TXT 2Â kb)
DOI: 10.6084/m9.figshare.c.3800413_d2.v1
title: Additional file 2: of Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum

description: Protein identification results from using ProteinPilot™ to search a composite (Bos taurus, Ovis aries and Carpra hircus) UniProtKB protein sequence database of serum samples derived from the first, second and third in-gel and in-solution digestion with a results quality of FDR ≤1%; ≥ 2 peptides for the highest scoring member of the protein group to be considered confidently identified. Each tab contains a list of protein IDs based on the quantity of protein loaded (μg), digestion workflow or sample conditions as follows: 1st_In-gel_digestion_2 μg = first in-gel (2 μg); 1st_In-gel_digestion_10 μg = first in-gel (10 μg); 1st_In-gel_digestion_22 μg = first in-gel (22 μg); All_1st_In-gel_digestion_IDs = all first in-gel samples; 2nd_In-gel_digestion_100 μgGelA = second in-gel digestion of Gel A (100 μg); 2nd_In-gel_digestion_50 μgGelA = second in-gel digestion of Gel A (50 μg); 2nd_In-gel_digestion_50 μgGelB = second in-gel digestion of Gel B (50 μg); 2nd_In-gel_digestion_100μgGelB = second in-gel digestion of Gel B (100 μg); 2nd_In-gel_digestion_50μgGelB = second in-gel digestion of Gel B (50 μg); All_2nd_In-gel_digestion_IDs = composite of all second in-gel digestion samples; 3rd_In-gel_digestion_200μg = crude serum protein of the third in-gel digestion (200 μg); 3rd_In-gel_digestion_100μg = crude serum protein of the third in-gel digestion (100 μg); 3rd_In-gel_digest_100μgx2CrudeI = crude serum protein with a protease inhibitor (Roche) of the third in-gel digestion (100 μg × 2); 3rd_In-gel_digest_100μgx2AcePPT = acetone precipitated serum protein without a protease inhibitor of the third in-gel digestion (100 μg × 2); 3rd_In-gel_digest_100μgx2No_I = crude serum protein without a protease inhibitor of the third in-gel digestion (100 μg × 2); All_3rd_In-gel_Digestion_IDs = composite of all third in-gel digestion samples; All_In-gel_digestion_IDs = all in-gel digestion workflow; 1st_In-solution_digestion_10 μg = acetone precipitated serum protein from the first in-solution digestion (10 μg); 2nd_In-solution_digestion_20 μg = crude serum protein from the second in-solution digestion (20 μg); 3rd_In-solution_digestion_100μg = crude serum protein from the third in-solution digestion (100 μg); All_In-solution_digestion_IDs = all in-solution workflow samples; All_Proteins + Peptide_Sequences = 274 protein IDs and peptide sequences of the entire in-gel and in-solution digestion experiments. (XLSX 423 kb)
DOI: 10.6084/m9.figshare.c.3800413_d2
title: Additional file 2: of Characterisation of the circulating acellular proteome of healthy sheep using LC-MS/MS-based proteomics analysis of serum

description: Protein identification results from using ProteinPilot™ to search a composite (Bos taurus, Ovis aries and Carpra hircus) UniProtKB protein sequence database of serum samples derived from the first, second and third in-gel and in-solution digestion with a results quality of FDR ≤1%; ≥ 2 peptides for the highest scoring member of the protein group to be considered confidently identified. Each tab contains a list of protein IDs based on the quantity of protein loaded (μg), digestion workflow or sample conditions as follows: 1st_In-gel_digestion_2 μg = first in-gel (2 μg); 1st_In-gel_digestion_10 μg = first in-gel (10 μg); 1st_In-gel_digestion_22 μg = first in-gel (22 μg); All_1st_In-gel_digestion_IDs = all first in-gel samples; 2nd_In-gel_digestion_100 μgGelA = second in-gel digestion of Gel A (100 μg); 2nd_In-gel_digestion_50 μgGelA = second in-gel digestion of Gel A (50 μg); 2nd_In-gel_digestion_50 μgGelB = second in-gel digestion of Gel B (50 μg); 2nd_In-gel_digestion_100μgGelB = second in-gel digestion of Gel B (100 μg); 2nd_In-gel_digestion_50μgGelB = second in-gel digestion of Gel B (50 μg); All_2nd_In-gel_digestion_IDs = composite of all second in-gel digestion samples; 3rd_In-gel_digestion_200μg = crude serum protein of the third in-gel digestion (200 μg); 3rd_In-gel_digestion_100μg = crude serum protein of the third in-gel digestion (100 μg); 3rd_In-gel_digest_100μgx2CrudeI = crude serum protein with a protease inhibitor (Roche) of the third in-gel digestion (100 μg × 2); 3rd_In-gel_digest_100μgx2AcePPT = acetone precipitated serum protein without a protease inhibitor of the third in-gel digestion (100 μg × 2); 3rd_In-gel_digest_100μgx2No_I = crude serum protein without a protease inhibitor of the third in-gel digestion (100 μg × 2); All_3rd_In-gel_Digestion_IDs = composite of all third in-gel digestion samples; All_In-gel_digestion_IDs = all in-gel digestion workflow; 1st_In-solution_digestion_10 μg = acetone precipitated serum protein from the first in-solution digestion (10 μg); 2nd_In-solution_digestion_20 μg = crude serum protein from the second in-solution digestion (20 μg); 3rd_In-solution_digestion_100μg = crude serum protein from the third in-solution digestion (100 μg); All_In-solution_digestion_IDs = all in-solution workflow samples; All_Proteins + Peptide_Sequences = 274 protein IDs and peptide sequences of the entire in-gel and in-solution digestion experiments. (XLSX 423 kb)
DOI: 10.6084/m9.figshare.c.3801355_d2.v1
title: MOESM2 of Proximity ligation scaffolding and comparison of two Trichoderma reesei strains genomes

description: Additional file 2. QM6a reassembly sequence in fasta format (7 chromosomes + unassembled scaffolds).
DOI: 10.6084/m9.figshare.c.3801343_d5.v1
title: Additional file 5: ExampleData_GxE_1.05_210corr_840noise. of Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

description: Available at https://figshare.com/s/bca99fc248b678adbb07. Contains a data frame called “dat” with 1067 columns and 10,000 rows. The dataset consists of 10,000 subjects and contains six independent genetic risk factors (CFHrs1061170, LOCrs10490924, CFHrs1410996, C2rs9332739, CFBrs641153, CFHrs2230199) and eight non-genetic covariables (age, sex, education, disease status at baseline, smoking, BMI, antioxidant group, zinc group) for the development of an AMD (binary health outcome), which is the main cause for blindness of people older than 50 years of age. PM10: continuous environmental risk factor that has an adverse effect on AMD and further interacts positively with the six risk SNPs. In this dataset, the mean OR for GxE of the 6 risk SNPs is 1.05 (compare Additional file 1, Table S3). 210 SNPs correlated with the 6 risk SNPs, e.g. CFHrs1061170_100 is in high LD with CFHrs1061170 (same variable, but 100 entries are randomized), 840 noise SNPs (CFHrs1061170_rand1 to CFHrs2230199_rand140). (RData 3 mb)
DOI: 10.6084/m9.figshare.c.3801358_d1
title: MOESM10 of Effectiveness of reactive case detection for malaria elimination in three archetypical transmission settings: a modelling study

description: Additional file 10. Table of elimination outcomes for all simulated scenarios.
DOI: 10.6084/m9.figshare.c.3801343_d5
title: Additional file 5: ExampleData_GxE_1.05_210corr_840noise. of Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression

description: Available at https://figshare.com/s/bca99fc248b678adbb07. Contains a data frame called “dat” with 1067 columns and 10,000 rows. The dataset consists of 10,000 subjects and contains six independent genetic risk factors (CFHrs1061170, LOCrs10490924, CFHrs1410996, C2rs9332739, CFBrs641153, CFHrs2230199) and eight non-genetic covariables (age, sex, education, disease status at baseline, smoking, BMI, antioxidant group, zinc group) for the development of an AMD (binary health outcome), which is the main cause for blindness of people older than 50 years of age. PM10: continuous environmental risk factor that has an adverse effect on AMD and further interacts positively with the six risk SNPs. In this dataset, the mean OR for GxE of the 6 risk SNPs is 1.05 (compare Additional file 1, Table S3). 210 SNPs correlated with the 6 risk SNPs, e.g. CFHrs1061170_100 is in high LD with CFHrs1061170 (same variable, but 100 entries are randomized), 840 noise SNPs (CFHrs1061170_rand1 to CFHrs2230199_rand140). (RData 3 mb)
DOI: 10.6084/m9.figshare.c.3801355_d2
title: MOESM2 of Proximity ligation scaffolding and comparison of two Trichoderma reesei strains genomes

description: Additional file 2. QM6a reassembly sequence in fasta format (7 chromosomes + unassembled scaffolds).
DOI: 10.6084/m9.figshare.c.3801358_d3.v1
title: MOESM1 of Effectiveness of reactive case detection for malaria elimination in three archetypical transmission settings: a modelling study

description: Additional file 1. Household locations, populations, and intervention coverages. Household coordinates have been anonymized to kilometers from HFCA centroid to preserve participantsâ   privacy.
DOI: 10.6084/m9.figshare.c.3801358_d3
title: MOESM1 of Effectiveness of reactive case detection for malaria elimination in three archetypical transmission settings: a modelling study

description: Additional file 1. Household locations, populations, and intervention coverages. Household coordinates have been anonymized to kilometers from HFCA centroid to preserve participantsâ   privacy.
DOI: 10.6084/m9.figshare.c.3801355_d3.v1
title: MOESM3 of Proximity ligation scaffolding and comparison of two Trichoderma reesei strains genomes

description: Additional file 3. Annotation file describing the location on the chromosomes of i) the original scaffolds, ii) the centromeres and iii) the 9129 genes from the JGI Filtered Models set of genes.
DOI: 10.6084/m9.figshare.c.3801355_d3
title: MOESM3 of Proximity ligation scaffolding and comparison of two Trichoderma reesei strains genomes

description: Additional file 3. Annotation file describing the location on the chromosomes of i) the original scaffolds, ii) the centromeres and iii) the 9129 genes from the JGI Filtered Models set of genes.
DOI: 10.6084/m9.figshare.c.3801370_d2.v1
title: MOESM2 of Efficient conformational sampling and weak scoring in docking programs? Strategy of the wisdom of crowds

description: Additional file 2: Table S1. Table gathering the results of docking and protein and ligand properties. The target name from DUD-E is given in column A. The difficulty of docking and ranking, column B, is colored in green for the 28 easy targets (top-ranked with all programs), in red for the 6 hard targets (with no correct best pose found with any program), in pink for the 9 best but not top-rank targets exposed in Table 5 (a correct best pose found by at least one program but not top-ranked with any scoring function when rescored in one pool). The rest is in gray. The protein properties are given in columns C to G and the ligand properties in columns H to O. Then follow the RMSDs of the top-rank and best poses obtained when docking with Glide (columns P, Q), Surflex (R, S), FlexX (T, U) and Gold (V, W).
DOI: 10.15468/dl.kme2w6
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathyagonus pentacanthus (Gilbert, 1890)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 100 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038953-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3801511_d2
title: Additional file 2: of Pan-cancer analysis reveals technical artifacts in TCGA germline variant calls

description: Technical covariates for 9618 samples in pan-cancer cohort. (XLSX 600Â kb)
DOI: 10.6084/m9.figshare.c.3801511_d3.v1
title: Additional file 3: of Pan-cancer analysis reveals technical artifacts in TCGA germline variant calls

description: TCGA samples with discrepancy between self-report and PCA predicted ancestry. (XLS 60Â kb)
DOI: 10.6084/m9.figshare.c.3801511_d3
title: Additional file 3: of Pan-cancer analysis reveals technical artifacts in TCGA germline variant calls

description: TCGA samples with discrepancy between self-report and PCA predicted ancestry. (XLS 60Â kb)
DOI: 10.6084/m9.figshare.c.3801511_d4.v1
title: Additional file 4: of Pan-cancer analysis reveals technical artifacts in TCGA germline variant calls

description: Significant genes from logistic regression analysis. (XLSX 94Â kb)