cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26991481
title: Additional file 19 of Identification of a Notch transcriptomic signature for breast cancer

description: Additional file 19. Table S13: Averaged GSVA scores for 16 previously published Notch signatures for the BEAUTY patient cohort of responders and non-responders of the TNBC subtype and averaged ssGSEA scores for the PROMIX patient cohort at baseline and cycle2.
DOI: 10.6084/m9.figshare.26991463.v1
title: Additional file 13 of Identification of a Notch transcriptomic signature for breast cancer

description: Additional file 13. Table S9: A. Signature and coherence scores of the 20-gene signature and previously published signatures in all PAM50 subtypes in the various patient cohorts (TCGA-BRCA, METABRIC and Oslo2).
DOI: 10.6084/m9.figshare.26991487.v1
title: Additional file 1 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 1: Table S1. Sample information from Mathys et al. (2019) (single-nucleus RNA-seq), Lau et al. (single-nucleus RNA-seq), Marabito et al. (2021) (single-nucleus RNA-seq), Green et al. (2023) (single-nucleus RNA-seq), Sun et al. (2023) (single-nucleus RNA-seq) and ROSMAP (both transcriptomic and DNA methylomic data) studies.
DOI: 10.6084/m9.figshare.26991490.v1
title: Additional file 2 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 2: Table S2. DEGs from the ROSMAP study identified using the limma method.
DOI: 10.6084/m9.figshare.26991487
title: Additional file 1 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 1: Table S1. Sample information from Mathys et al. (2019) (single-nucleus RNA-seq), Lau et al. (single-nucleus RNA-seq), Marabito et al. (2021) (single-nucleus RNA-seq), Green et al. (2023) (single-nucleus RNA-seq), Sun et al. (2023) (single-nucleus RNA-seq) and ROSMAP (both transcriptomic and DNA methylomic data) studies.
DOI: 10.6084/m9.figshare.26991490
title: Additional file 2 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 2: Table S2. DEGs from the ROSMAP study identified using the limma method.
DOI: 10.6084/m9.figshare.26991493
title: Additional file 3 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 3: Table S3. DEG lists and numbers found between LOAD and ND (1) before and after (2) FDAMic or (2) random nuclei removal.
DOI: 10.6084/m9.figshare.26991493.v1
title: Additional file 3 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 3: Table S3. DEG lists and numbers found between LOAD and ND (1) before and after (2) FDAMic or (2) random nuclei removal.
DOI: 10.6084/m9.figshare.26991496
title: Additional file 4 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 4: Table S4. A total of 373 DEGs were identified in FDAMic versus the rest of the microglia in the Mathys et al. dataset.
DOI: 10.6084/m9.figshare.26991496.v1
title: Additional file 4 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 4: Table S4. A total of 373 DEGs were identified in FDAMic versus the rest of the microglia in the Mathys et al. dataset.
DOI: 10.6084/m9.figshare.26991499
title: Additional file 5 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 5: Table S5. Protein‒protein interacting partners of ESR1/ERα and ESR2/ERβ extracted from the STRING and PPI network of the BIOGRID database.
DOI: 10.6084/m9.figshare.26991499.v1
title: Additional file 5 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 5: Table S5. Protein‒protein interacting partners of ESR1/ERα and ESR2/ERβ extracted from the STRING and PPI network of the BIOGRID database.
DOI: 10.6084/m9.figshare.26991502
title: Additional file 6 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 6: Table S6. 288 SCENIC-identified SPI1/PU.1 target genes.
DOI: 10.6084/m9.figshare.26991502.v1
title: Additional file 6 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 6: Table S6. 288 SCENIC-identified SPI1/PU.1 target genes.
DOI: 10.6084/m9.figshare.26991505
title: Additional file 7 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 7: Table S7. 1,125 estrogen-responsive genes identified from the DNA methylome profiles in the MCF-7 study.
DOI: 10.6084/m9.figshare.26991505.v1
title: Additional file 7 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 7: Table S7. 1,125 estrogen-responsive genes identified from the DNA methylome profiles in the MCF-7 study.
DOI: 10.6084/m9.figshare.26991508
title: Additional file 8 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 8: Table S8. Hypermethylated and hypomethylated genes found in brain tissues of female LOAD patients.
DOI: 10.6084/m9.figshare.26991508.v1
title: Additional file 8 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 8: Table S8. Hypermethylated and hypomethylated genes found in brain tissues of female LOAD patients.
DOI: 10.6084/m9.figshare.26991511
title: Additional file 9 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 9: Table S9. Data table for heatmap visualization of gene expression trends in various APOE allelic variants.
DOI: 10.6084/m9.figshare.26991511.v1
title: Additional file 9 of Identification of female-enriched and disease-associated microglia (FDAMic) contributes to sexual dimorphism in late-onset Alzheimer’s disease

description: Additional file 9: Table S9. Data table for heatmap visualization of gene expression trends in various APOE allelic variants.
DOI: 10.6084/m9.figshare.26991577
title: Additional file 1 of Metagenomic characterization of a novel non-ammonia-oxidizing Thaumarchaeota from hadal sediment

description: Additional file 1: Table S1. Additional Genome Dataset for timing estimation. Table S2. Timing estimation analysis for Thaumarchaeota. Table S3. MW-scores for the Challenger Deep sediment metatranscriptome dataset. Table S4. MW-scores for the Challenger Deep sediment metagenome dataset in this study. Table S5. Genome description of duplicated total metagenome-assembled genomes (MAGs) in this study. Table S6. Genome description of Thaumarchaeota. Table S7. Recruited per kilobase of genome per gigabase (RPKG) values for Thaumarchaeota bins of all datasets. Table S8. Recruited per kilobase of genome per gigabase (RPKG) values for Thaumarchaeota bins of marine environmental datasets. Table S9. Transporter prediction for bins in Group-3.unk. Table S10. Gene annotation of five Group-3.unk bins. Table S11. Nitrosopumilus genomic comparative analysis for IPCT/DIPPS. Table S12. Gene events at key nodes (nodes 1, 12, 13, and 28) based on ancestral reconstruction.
DOI: 10.6084/m9.figshare.26991577.v1
title: Additional file 1 of Metagenomic characterization of a novel non-ammonia-oxidizing Thaumarchaeota from hadal sediment

description: Additional file 1: Table S1. Additional Genome Dataset for timing estimation. Table S2. Timing estimation analysis for Thaumarchaeota. Table S3. MW-scores for the Challenger Deep sediment metatranscriptome dataset. Table S4. MW-scores for the Challenger Deep sediment metagenome dataset in this study. Table S5. Genome description of duplicated total metagenome-assembled genomes (MAGs) in this study. Table S6. Genome description of Thaumarchaeota. Table S7. Recruited per kilobase of genome per gigabase (RPKG) values for Thaumarchaeota bins of all datasets. Table S8. Recruited per kilobase of genome per gigabase (RPKG) values for Thaumarchaeota bins of marine environmental datasets. Table S9. Transporter prediction for bins in Group-3.unk. Table S10. Gene annotation of five Group-3.unk bins. Table S11. Nitrosopumilus genomic comparative analysis for IPCT/DIPPS. Table S12. Gene events at key nodes (nodes 1, 12, 13, and 28) based on ancestral reconstruction.
DOI: 10.6084/m9.figshare.26991643.v1
title: Additional file 1 of New information on paleopathologies in non-avian theropod dinosaurs: a case study on South American abelisaurids

description: Additional file 1: Table S1. Occurences arranged according to the pathological specimens. Different colors indicate different taxa. Table S2. Percentage of each taxon with respet to the whole sample. Table S3. Occurences arranged according to the type of pathology. Different colors indicate different pathologies. Table S4. Percentage of each pathology with respet to the whole sample. Table S5. Occurences arranged according to the pathological regions of the skeleton. Different colors indicate different body regions. Table S6. Percentage for each major body region affected by a pathologcial condition with respet to the whole sample. Table S7. Percentage of each secondary body region affected by a pathological condition with respet to the whole sample. Table S8. Occurences of the most represented pathologies in the most represented non-avian theropod taxa. Table S9. Ajusted residuals after Chi-square test. Table S10. P-values. *In yellow significant p-values. Table S11. Observed cases versus expected cases after Chi-square test. Table S12. Occurences of the most represented pathologies in the major body regions. Table S13. Ajusted residuals after Chi-square test. Table S14. P-values. *In yellow significant p-values. Table S15. Observed cases versus expected cases after Chi-square test. Table S16. Occurences of major body regions affected by pathological conditions in the most represented non-avian theropod taxa. Table S17. Ajusted residuals after Chi-square test. Table S18. P-values. *In yellow significant p-values. Table S19. Observed cases versus expected cases after Chi-square test.
DOI: 10.6084/m9.figshare.26991643
title: Additional file 1 of New information on paleopathologies in non-avian theropod dinosaurs: a case study on South American abelisaurids

description: Additional file 1: Table S1. Occurences arranged according to the pathological specimens. Different colors indicate different taxa. Table S2. Percentage of each taxon with respet to the whole sample. Table S3. Occurences arranged according to the type of pathology. Different colors indicate different pathologies. Table S4. Percentage of each pathology with respet to the whole sample. Table S5. Occurences arranged according to the pathological regions of the skeleton. Different colors indicate different body regions. Table S6. Percentage for each major body region affected by a pathologcial condition with respet to the whole sample. Table S7. Percentage of each secondary body region affected by a pathological condition with respet to the whole sample. Table S8. Occurences of the most represented pathologies in the most represented non-avian theropod taxa. Table S9. Ajusted residuals after Chi-square test. Table S10. P-values. *In yellow significant p-values. Table S11. Observed cases versus expected cases after Chi-square test. Table S12. Occurences of the most represented pathologies in the major body regions. Table S13. Ajusted residuals after Chi-square test. Table S14. P-values. *In yellow significant p-values. Table S15. Observed cases versus expected cases after Chi-square test. Table S16. Occurences of major body regions affected by pathological conditions in the most represented non-avian theropod taxa. Table S17. Ajusted residuals after Chi-square test. Table S18. P-values. *In yellow significant p-values. Table S19. Observed cases versus expected cases after Chi-square test.
DOI: 10.6084/m9.figshare.26991670.v1
title: Additional file 2 of Understanding psychosocial determinants of malaria behaviours in low-transmission settings: a scoping review

description: Additional file 2: Literature table.
DOI: 10.6084/m9.figshare.26991670
title: Additional file 2 of Understanding psychosocial determinants of malaria behaviours in low-transmission settings: a scoping review

description: Additional file 2: Literature table.
DOI: 10.15468/dl.rkdpj3
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarcophaga anaces Walker, 1849"
 ]
}

 The dataset includes 574 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011676-240906103802322/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.26991688
title: Additional file 1 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 1: Table S1. List of the 67 S. cereale GRAS genes identified in this study
DOI: 10.6084/m9.figshare.26991688.v1
title: Additional file 1 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 1: Table S1. List of the 67 S. cereale GRAS genes identified in this study
DOI: 10.6084/m9.figshare.26991691
title: Additional file 2 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 2: Table S2. Analysis and distribution of conserved motifs in Secale cereale GRAS proteins
DOI: 10.6084/m9.figshare.26991691.v1
title: Additional file 2 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 2: Table S2. Analysis and distribution of conserved motifs in Secale cereale GRAS proteins
DOI: 10.6084/m9.figshare.26991694
title: Additional file 3 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 3: Table S3. The distribution of amino acid sites in the motifs in rye
DOI: 10.6084/m9.figshare.26991697.v1
title: Additional file 4 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 4: Table S4. Analysis of Motif Enrichment in 67 GRAS proteins in rye
DOI: 10.6084/m9.figshare.26991700
title: Additional file 5 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 5: Table S5. Cis-regulatory elements in the promoter region of ScGRAS genes
DOI: 10.6084/m9.figshare.26991700.v1
title: Additional file 5 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 5: Table S5. Cis-regulatory elements in the promoter region of ScGRAS genes
DOI: 10.6084/m9.figshare.26991694.v1
title: Additional file 3 of GRAS gene family in rye (Secale cereale L.): genome-wide identification, phylogeny, evolutionary expansion and expression analyses

description: Supplementary Material 3: Table S3. The distribution of amino acid sites in the motifs in rye
DOI: 10.15468/dl.8akame
title: Occurrence Download

description: A dataset containing 701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rumex verticillatus L.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 701 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271799-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brhf9v
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holcoglossum flavescens (Schltr.) Z.H.Tsi"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036771-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckplor
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Masticophis anthonyi (Stejneger, 1901)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018633-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wguw4p
title: Occurrence Download

description: A dataset containing 488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "InstitutionCode is one of (ibunam, inaturalist, ecosur, ua, tamu, ku, dgsv-senasica, cp)",
 "TaxonKey is Calosoma angulatum Chevrolat, 1834"
 ]
}

 The dataset includes 488 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024398-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar938f
title: Occurrence Download

description: A dataset containing 1602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.89775 34.39851,-119.85655 34.39851,-119.85655 34.42627,-119.89775 34.42627,-119.89775 34.39851))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1602 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271745-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.saqpug
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((98.95234 -2.44808,101.60191 -2.44808,101.60191 1.09748,98.95234 1.09748,98.95234 -2.44808))",
 "HasCoordinate is true",
 "TaxonKey is Codonoboea vulcanica (Ridl.) A.Weber"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120130-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adr8hu
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Belostoma Latreille, 1807"
 ]
}

 The dataset includes 655 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000506-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjs7b7
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heteranthera multiflora (Griseb.) C.N.Horn",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0271807-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.obmgbv
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Quercus striatula Trel.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 109 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019492-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuz79k
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aechminidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 267 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024444-230810091245214/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.25479232.v1
title: Programmable Photoacoustic Patterning of Microparticles in Air

description: Movie1: Programmable Photoacoustic Patterning of Microparticles system arranges particles into complex and precise patterns over a large
area.
Movie2: Programmable Photoacoustic Patterning of Microparticles system produces letterpress style kapok flower patterning.
Movie3: Programmable Photoacoustic Patterning of Microparticles system moves about 30 silica particles along a specified path.
DOI: 10.15468/dl.elmvnd
title: Occurrence Download

description: A dataset containing 16594 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ploceus melanocephalus (Linnaeus, 1758)"
 ]
}

 The dataset includes 16594 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008798-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.