cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30268978
title: Additional file 13 of Transcriptional regulation reveals potent drought tolerance mechanisms in contrasting genotypes of Cajanus cajan (L.) Millspaugh

description: Additional file 13: Table S7. Summary of Gene Ontology (GO) terms enriched in WGCNA-derived modules and their functional associations with physiological traits under drought stress in pigeonpea. This table lists the major biological functions (GO terms) associated with genes within each module, and further outlines their inferred role in modulating key physiological traits such as relative water content (RWC), proline accumulation, and oxidative stress markers (MDA, H₂O₂). The associations are based on GO enrichment analysis and trait-specific trends observed in PA16 and PA992 genotypes under drought conditions
DOI: 10.6084/m9.figshare.30268978.v1
title: Additional file 13 of Transcriptional regulation reveals potent drought tolerance mechanisms in contrasting genotypes of Cajanus cajan (L.) Millspaugh

description: Additional file 13: Table S7. Summary of Gene Ontology (GO) terms enriched in WGCNA-derived modules and their functional associations with physiological traits under drought stress in pigeonpea. This table lists the major biological functions (GO terms) associated with genes within each module, and further outlines their inferred role in modulating key physiological traits such as relative water content (RWC), proline accumulation, and oxidative stress markers (MDA, H₂O₂). The associations are based on GO enrichment analysis and trait-specific trends observed in PA16 and PA992 genotypes under drought conditions
DOI: 10.15468/dl.3cjn7h
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna presente en el humedal Samán, departamento del Tolima"
 ]
}

 The dataset includes 41 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007579-251025141854904/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.30485213
title: Additional file 1 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 1: Figure S1. The percentage of the genome covered by fragments larger than 300 bp after in silico digestion. Figure S2. Distribution of fragments after enzymatic digestion.Genome coverage analysis of fragments in soybean and wheat.The number of fragments in soybean and wheat. Five different panel of REs were selected for in silico digestion of the genome. Figure S3. Chromosome distribution of fragments after enzymatic digestion. Different genomes were digested by five different panel of REs. The size of sliding window is 10 kb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485213.v1
title: Additional file 1 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 1: Figure S1. The percentage of the genome covered by fragments larger than 300 bp after in silico digestion. Figure S2. Distribution of fragments after enzymatic digestion.Genome coverage analysis of fragments in soybean and wheat.The number of fragments in soybean and wheat. Five different panel of REs were selected for in silico digestion of the genome. Figure S3. Chromosome distribution of fragments after enzymatic digestion. Different genomes were digested by five different panel of REs. The size of sliding window is 10 kb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485216
title: Additional file 2 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 2: Figure S4. Evaluation of RE efficiency.Proportion of reads without RE recognition sites with Panel_A and Panel_B in maize and rice.Proportion of reads without each RE recognition sites with Panel_A and Panel_B in maize and rice. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S5. Consistency of coverage among 4 repeats when using varying sequencing data sizes. Pairwise Spearman correlation of the mean coverage between replicates with 100 kb windows. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S6. The overlap of SNPs among 4 repeats when using varying sequencing data sizes. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S7. Application of iRAD-seq in maize germplasm.Sequencing yields of 132 maize germplasms.1812 high-quality SNPs of 139 maize germplasms widespread in the genome. Panel_A: MseI, MspI and AluI.
DOI: 10.6084/m9.figshare.30485216.v1
title: Additional file 2 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 2: Figure S4. Evaluation of RE efficiency.Proportion of reads without RE recognition sites with Panel_A and Panel_B in maize and rice.Proportion of reads without each RE recognition sites with Panel_A and Panel_B in maize and rice. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S5. Consistency of coverage among 4 repeats when using varying sequencing data sizes. Pairwise Spearman correlation of the mean coverage between replicates with 100 kb windows. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S6. The overlap of SNPs among 4 repeats when using varying sequencing data sizes. Panel_A: MseI, MspI and AluI; Panel_B: MseI, MspI and HindIII. Figure S7. Application of iRAD-seq in maize germplasm.Sequencing yields of 132 maize germplasms.1812 high-quality SNPs of 139 maize germplasms widespread in the genome. Panel_A: MseI, MspI and AluI.
DOI: 10.6084/m9.figshare.30485219
title: Additional file 3 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 3: Figure S8. Sequencing yields of the maize genetic population.Sequencing yields of different sequencing strategies in the CIMBL83/GEMS41 population.Sequencing yields of different sequencing strategies in the CML496/GEMS41 population. For boxplots, center line is the median; box limits represent upper and lower quartiles. Different methods use different REs. Figure S9. iRAD significantly reduces the number of reads containing restriction enzyme recognition sites.Proportion of reads without AluI recognition sites in the CIMBL83/GEMS41 populationand CML496/GEMS41 populationwith Panel_A, Panel_B and AIO-seq.Proportion of reads without HindIII recognition sites in the CIMBL83/GEMS41 populationand CML496/GEMS41 populationwith Panel_A, Panel_B and AIO-seq. Different methods use different REs. Figure S10. iRAD-seq can enhance the depth of the obtained SNPs.The number of SNPs at different depths. The data used in the experiment was 0.5 Gb, 1.5 Gb, and 2.0 Gb. SNP number at different depths. Log10: n is the number of SNPs. For boxplots, center line is the median; box limits represent upper and lower quartiles. Employ the t-test to assess differences in different method, p &lt; 0.0001. Different methods use different REs.
DOI: 10.6084/m9.figshare.30485219.v1
title: Additional file 3 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 3: Figure S8. Sequencing yields of the maize genetic population.Sequencing yields of different sequencing strategies in the CIMBL83/GEMS41 population.Sequencing yields of different sequencing strategies in the CML496/GEMS41 population. For boxplots, center line is the median; box limits represent upper and lower quartiles. Different methods use different REs. Figure S9. iRAD significantly reduces the number of reads containing restriction enzyme recognition sites.Proportion of reads without AluI recognition sites in the CIMBL83/GEMS41 populationand CML496/GEMS41 populationwith Panel_A, Panel_B and AIO-seq.Proportion of reads without HindIII recognition sites in the CIMBL83/GEMS41 populationand CML496/GEMS41 populationwith Panel_A, Panel_B and AIO-seq. Different methods use different REs. Figure S10. iRAD-seq can enhance the depth of the obtained SNPs.The number of SNPs at different depths. The data used in the experiment was 0.5 Gb, 1.5 Gb, and 2.0 Gb. SNP number at different depths. Log10: n is the number of SNPs. For boxplots, center line is the median; box limits represent upper and lower quartiles. Employ the t-test to assess differences in different method, p &lt; 0.0001. Different methods use different REs.
DOI: 10.6084/m9.figshare.30485222
title: Additional file 4 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 4: Figure S11. Chromosome distribution of SNPs when using varying sequencing data sizes with Panel_A. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485222.v1
title: Additional file 4 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 4: Figure S11. Chromosome distribution of SNPs when using varying sequencing data sizes with Panel_A. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485225
title: Additional file 5 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 5: Figure S12. Chromosome distribution of SNPs when using varying sequencing data sizes with panel_B. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485225.v1
title: Additional file 5 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 5: Figure S12. Chromosome distribution of SNPs when using varying sequencing data sizes with panel_B. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485228
title: Additional file 6 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 6: Figure S13. Chromosome distribution of SNPs when using varying sequencing data sizes with AIO-seq. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485228.v1
title: Additional file 6 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 6: Figure S13. Chromosome distribution of SNPs when using varying sequencing data sizes with AIO-seq. The size of the sliding window is 1 Mb. Red, high density; green, low density.
DOI: 10.6084/m9.figshare.30485231
title: Additional file 7 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 7: Figure S14. Bin maps and genetic maps of iRAD-seq.Construction of recombination bin maps illustrating recombination events in the CIMBL83/GEMS41and CML496/GEMS41 populationswith different sequencing strategies.High-density genetic maps of the CIMBL83/GEMS41and CML496/GEMS41 populationwith different sequencing strategies. Different methods use different REs. Figure S15. Phenotypic distribution of the leaf angle.Distribution of 193 maize lines from CIMBL83/GEMS41.The distribution of 68 maize lines from CML496/GEMS41. Figure S16. iRAD-seq workflow integrated with a liquid handling automation system. The estimated time required is based on the processing of 960 samples.
DOI: 10.6084/m9.figshare.30485231.v1
title: Additional file 7 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 7: Figure S14. Bin maps and genetic maps of iRAD-seq.Construction of recombination bin maps illustrating recombination events in the CIMBL83/GEMS41and CML496/GEMS41 populationswith different sequencing strategies.High-density genetic maps of the CIMBL83/GEMS41and CML496/GEMS41 populationwith different sequencing strategies. Different methods use different REs. Figure S15. Phenotypic distribution of the leaf angle.Distribution of 193 maize lines from CIMBL83/GEMS41.The distribution of 68 maize lines from CML496/GEMS41. Figure S16. iRAD-seq workflow integrated with a liquid handling automation system. The estimated time required is based on the processing of 960 samples.
DOI: 10.6084/m9.figshare.30485234
title: Additional file 8 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 8: Table S1. Genome information of different species for in silico digestion. Table S2. Sequencing information and statistics for maizeand rice. Table S3. Sequencing information and statistics for a germplasm population of 132 maize lines. Table S4. Information of genotype from maize germplasm for phylogenetic analysis. Table S5. Sequencing information and statistics for two BCF4 populations of maize. Table S6. Summary of the genetic map for the maize BCF4 population. Table S7. Summary of all quantitative trait lociidentified. Table S8. Comparison of performance between iRAD-seq and other RAD methods.
DOI: 10.6084/m9.figshare.30485234.v1
title: Additional file 8 of A novel method for effectively selecting fragments not associated with restriction sites for whole-genome genotyping

description: Additional file 8: Table S1. Genome information of different species for in silico digestion. Table S2. Sequencing information and statistics for maizeand rice. Table S3. Sequencing information and statistics for a germplasm population of 132 maize lines. Table S4. Information of genotype from maize germplasm for phylogenetic analysis. Table S5. Sequencing information and statistics for two BCF4 populations of maize. Table S6. Summary of the genetic map for the maize BCF4 population. Table S7. Summary of all quantitative trait lociidentified. Table S8. Comparison of performance between iRAD-seq and other RAD methods.
DOI: 10.6084/m9.figshare.30485235
title: Additional file 2 of Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells

description: Additional file 2. Table S1: MERFISH and scRNA-seq brain regions correspondence.
DOI: 10.6084/m9.figshare.30485235.v1
title: Additional file 2 of Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells

description: Additional file 2. Table S1: MERFISH and scRNA-seq brain regions correspondence.
DOI: 10.6084/m9.figshare.30485238
title: Additional file 3 of Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells

description: Additional file 3. Table S1: scRNA-seq and snRNA-seq brain regions correspondence.
DOI: 10.6084/m9.figshare.30485238.v1
title: Additional file 3 of Cross-expression meta-analysis of mouse brain slices reveals coordinated gene expression across spatially adjacent cells

description: Additional file 3. Table S1: scRNA-seq and snRNA-seq brain regions correspondence.
DOI: 10.6084/m9.figshare.30485244
title: Additional file 1 of Multi-omics reveals cross-tissue regulatory mechanisms of autism risk loci via gut microbiota-immunity-brain axis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485244.v1
title: Additional file 1 of Multi-omics reveals cross-tissue regulatory mechanisms of autism risk loci via gut microbiota-immunity-brain axis

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485247
title: Additional file 2 of Multi-omics reveals cross-tissue regulatory mechanisms of autism risk loci via gut microbiota-immunity-brain axis

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.30485247.v1
title: Additional file 2 of Multi-omics reveals cross-tissue regulatory mechanisms of autism risk loci via gut microbiota-immunity-brain axis

description: Supplementary Material 2
DOI: 10.15468/dl.sdkt6g
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.98108 29.83813,-93.06709 29.83813,-93.06709 32.76582,-95.98108 32.76582,-95.98108 29.83813))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June, July)",
 "OccurrenceStatus is Present",
 "TaxonKey is Dryophytes chrysoscelis",
 "Year 2015-2025"
 ]
}

 The dataset includes 60 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007580-251025141854904/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.30485294
title: Additional file 2 of Skin and gill microbiome profiles and network structures in farmed tilapia (Oreochromis niloticus) and their relationships with health conditions

description: Supplementary Material 2: Additional file 2: Supplementary tables. Table S1 Details of tilapia gill, skin and pond water sampled from earthen polyculture ponds in Bangladesh. Table S2 Sequencing profile for the prokaryotic (16S) and microeukaryotic (18S) datasets. Table S3 Pairwise comparison of alpha diversity assessing the effect of sample type, disease condition and geographical location. Table S4 Adonis pairwise comparisons of microbial structures calculated on Bray-Curtis dissimilarity across sample types, upazila, diseased and non-diseased samples within each sample type. Table S5 Bacterial taxonomic table of tilapia gill and skin-associated core microbiota. Table S6 Key attributes of co-occurrence networks. Table S7 The potential keystone genera in the diseased and non-diseased tilapia gill and skin microbial network.
DOI: 10.6084/m9.figshare.30485294.v1
title: Additional file 2 of Skin and gill microbiome profiles and network structures in farmed tilapia (Oreochromis niloticus) and their relationships with health conditions

description: Supplementary Material 2: Additional file 2: Supplementary tables. Table S1 Details of tilapia gill, skin and pond water sampled from earthen polyculture ponds in Bangladesh. Table S2 Sequencing profile for the prokaryotic (16S) and microeukaryotic (18S) datasets. Table S3 Pairwise comparison of alpha diversity assessing the effect of sample type, disease condition and geographical location. Table S4 Adonis pairwise comparisons of microbial structures calculated on Bray-Curtis dissimilarity across sample types, upazila, diseased and non-diseased samples within each sample type. Table S5 Bacterial taxonomic table of tilapia gill and skin-associated core microbiota. Table S6 Key attributes of co-occurrence networks. Table S7 The potential keystone genera in the diseased and non-diseased tilapia gill and skin microbial network.
DOI: 10.6084/m9.figshare.30485301
title: Additional file 3 of Genome-wide investigation of the dmrt gene family reveals new insight into the gonad development in Plectropomus leopardus: dmrt2a regulate the development of oocytes

description: Supplementary S1
DOI: 10.6084/m9.figshare.30485301.v1
title: Additional file 3 of Genome-wide investigation of the dmrt gene family reveals new insight into the gonad development in Plectropomus leopardus: dmrt2a regulate the development of oocytes

description: Supplementary S1
DOI: 10.6084/m9.figshare.30485309
title: Additional file 1 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485309.v1
title: Additional file 1 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.30485312
title: Additional file 2 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.30485312.v1
title: Additional file 2 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.30485315
title: Additional file 3 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.30485315.v1
title: Additional file 3 of KLOTHO-VS heterozygosity, α-klotho protein levels and cognitive performance in Alzheimer’s disease

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.30485319
title: Additional file 2 of Immune, blood-brain barrier, and metabolic biomarkers mediate gut-brain axis crosstalk in alzheimer’s disease

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.30485319.v1
title: Additional file 2 of Immune, blood-brain barrier, and metabolic biomarkers mediate gut-brain axis crosstalk in alzheimer’s disease

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.30485327
title: Additional file 1 of Methylation-specific qPCR for the EBV C promoter to quantify EBV methylation

description: Supplementary Material 1: MSPCP published data
DOI: 10.6084/m9.figshare.30485327.v1
title: Additional file 1 of Methylation-specific qPCR for the EBV C promoter to quantify EBV methylation

description: Supplementary Material 1: MSPCP published data
DOI: 10.6084/m9.figshare.30485372
title: Additional file 1 of Genome-wide association mapping reveals genetic loci underlying phenotypic variation in early root vigour improvement induced by osmopriming in Brassica napus L

description: Supplementary material 1.
DOI: 10.6084/m9.figshare.30485372.v1
title: Additional file 1 of Genome-wide association mapping reveals genetic loci underlying phenotypic variation in early root vigour improvement induced by osmopriming in Brassica napus L

description: Supplementary material 1.
DOI: 10.5281/zenodo.17242554
title: Population-based Brain Templates for Ultra-Low-Field MRI

description: Ultra-low-field (ULF) MRI currently lacks population-representative spatial priors, limiting robust alignment, normalization, and cross-study comparability. Our aim is to provide an open, standardized ULF brain template resource, comprising data and code, that enables reproducible spatial analysis and method development across ULF studies. We present group-average brain templates generated from 64\,mT MRI scans of 100 healthy adults, encompassing both T1- and T2-weighted contrasts and covering the full adult lifespan. Participants were stratified into three age groups to support both age-specific and population-level analyses. The preprocessing and registration pipeline employed established open-source neuroimaging tools and iterative averaging to enhance anatomical correspondence and consistency. The resource includes population and age-specific templates with accompanying example segmentations and complete scripts for full reproducibility. All data and code are openly available on Zenodo and GitHub in accordance with FAIR principles. By establishing a standardized reference space tailored to ULF imaging, this dataset facilitates normalization, morphometry, and benchmarking, and supports downstream applications such as segmentation, harmonization, and learning-based enhancement.