cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yeq93m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.755779 -33.182212, 148.755779 -33.184458, 148.758025 -33.184458, 148.758025 -33.182212, 148.755779 -33.182212))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068455-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26580392
title: Additional file 2 of Identification of candidate genes responsible for chasmogamy in wheat

description: Additional file 2: Table S1. Fold changes of 594 down- and upregulated DEGs at the GAS and YAS of HCH (Pi-Piko, Po-Poezja) vs LCH (Eu-Euforia, Da-KWS Dacanto) cultivars identified in RNA-Seq analysis. Table S2. Expression levels of selected DEGs during Chinese Spring development ( http://wheatomics.sdau.edu.cn/expression/wheat.html ). Table S3. List of 1161 DEGs down- and upregulated at lodicules at the GAS and YAS of HCH (Pi-Piko, Po-Poezja) vs LCH (Eu-Euforia, Da-KWS Dacanto) cultivars identified in RDA-Seq analysis. Table S4. DEGs selected in RNA-seq and RDA-seq analyses, their sequences, location, promoter regions, and the best blast hits. Table S5. Regulatory elements identified in regions 2,000 bp upstream of selected DEGs. Table S6. DEGs identified in RNA-Seq analysis annotated in Merkator ( https://www.plabipd.de/portal/mercator4 ) database. Table S7. DEGs identified in RDA-Seq analysis annotated in Merkator ( https://www.plabipd.de/portal/mercator4 ) database. Table S8. Characteristics of 18 genes selected for qPCR analysis and PCR primers.
DOI: 10.6084/m9.figshare.26580392.v1
title: Additional file 2 of Identification of candidate genes responsible for chasmogamy in wheat

description: Additional file 2: Table S1. Fold changes of 594 down- and upregulated DEGs at the GAS and YAS of HCH (Pi-Piko, Po-Poezja) vs LCH (Eu-Euforia, Da-KWS Dacanto) cultivars identified in RNA-Seq analysis. Table S2. Expression levels of selected DEGs during Chinese Spring development ( http://wheatomics.sdau.edu.cn/expression/wheat.html ). Table S3. List of 1161 DEGs down- and upregulated at lodicules at the GAS and YAS of HCH (Pi-Piko, Po-Poezja) vs LCH (Eu-Euforia, Da-KWS Dacanto) cultivars identified in RDA-Seq analysis. Table S4. DEGs selected in RNA-seq and RDA-seq analyses, their sequences, location, promoter regions, and the best blast hits. Table S5. Regulatory elements identified in regions 2,000 bp upstream of selected DEGs. Table S6. DEGs identified in RNA-Seq analysis annotated in Merkator ( https://www.plabipd.de/portal/mercator4 ) database. Table S7. DEGs identified in RDA-Seq analysis annotated in Merkator ( https://www.plabipd.de/portal/mercator4 ) database. Table S8. Characteristics of 18 genes selected for qPCR analysis and PCR primers.
DOI: 10.6084/m9.figshare.26626300
title: Additional file 1 of The landscape of cell-free mitochondrial DNA in liquid biopsy for cancer detection

description: Additional file 1: Table S1. mtDNA proportions in xenograft mice.
DOI: 10.34740/kaggle/dsv/9179816
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.26626351
title: Additional file 3 of Robotic ureteral reconstruction for benign ureteral strictures: a systematic review of surgical techniques, complications and outcomes

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26626342.v1
title: Additional file 2 of Effect of short-term compression therapy after thermal ablation for varicose veins: study protocol for a prospective, multicenter, non-inferiority, randomized controlled trial

description: Additional file 2.
DOI: 10.6084/m9.figshare.26626354.v1
title: Additional file 4 of Robotic ureteral reconstruction for benign ureteral strictures: a systematic review of surgical techniques, complications and outcomes

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.26626351.v1
title: Additional file 3 of Robotic ureteral reconstruction for benign ureteral strictures: a systematic review of surgical techniques, complications and outcomes

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26626354
title: Additional file 4 of Robotic ureteral reconstruction for benign ureteral strictures: a systematic review of surgical techniques, complications and outcomes

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.24303343.v1
title: Additional file 1 of Comparative transcriptome analysis of high- and low-embryogenic Hevea brasiliensis genotypes reveals involvement of phytohormones in somatic embryogenesis

description: Additional file 1: Supplementary Table 1. Relative phytohormone based on UPLC-ESI-MS/MS in YT and HT genotypes at four stages of somatic embryogenesis of Hevea genotypes YT and RT.
DOI: 10.6084/m9.figshare.26626438
title: Additional file 3 of Comparative transcriptome analysis of high- and low-embryogenic Hevea brasiliensis genotypes reveals involvement of phytohormones in somatic embryogenesis

description: Additional file 3: Supplementary Table 3. Expression of genes enriched in MAPK signaling pathway in four stages of somatic embryogenesis of Hevea genotypes YT and RT.
DOI: 10.6084/m9.figshare.26626300.v1
title: Additional file 1 of The landscape of cell-free mitochondrial DNA in liquid biopsy for cancer detection

description: Additional file 1: Table S1. mtDNA proportions in xenograft mice.
DOI: 10.25934/pr00010427
title: Data Challenge: Exploring the evolution of multidrug resistance patterns in ESKAPE pathogens using association mining: Key to antibiotic stewardship?

description: Multidrug resistance (MDR) has become a significant challenge in antimicrobial therapy, with bacteria developing the ability to resist multiple antimicrobial agents simultaneously. Multiple antimicrobials can drive the emergence of multidrug resistance where bacteria already resistant to one drug gain an advantage and acquire additional resistance through mutation, recombination, or horizontal gene transfer. Consequently, the patterns in multidrug resistance can provide critical insights for optimizing antimicrobial stewardship and infection control. Our team is interested in using the Pfizer-ATLAS and Venatorx–GEARS surveillance datasets to delineate the multidrug resistance patterns in the ESKAPE pathogens over 20 years from 2004-2024. First, the team will conduct descriptive data analytics by examining various factors, including antibiotic resistance profiles, age groups, gender, geographical regions, temporal trends, and phenotypic characteristics, specifically focusing on ESKAPE pathogens. This will be followed by association rule mining to discover the ‘associations’ in the development of multidrug resistance across different antibiotics and various factors to explore the evolution of MDR patterns over a period of time. Finally, a dashboard that shows a network representation of the MDR pattern evolution as a function of time will be built. We also wish to showcase the relationship between shared multidrug-resistant patterns and various demographic factors. Overall, our project aims to improve our understanding of MDR pattern evolution, aiding healthcare professionals in making informed decisions about antibiotic use.
DOI: 10.6084/m9.figshare.26580560
title: Additional file 2 of Combining GS-assisted GWAS and transcriptome analysis to mine candidate genes for nitrogen utilization efficiency in Populus cathayana

description: Additional file 2: Supplementary Table S1. GS anlysis of phenotypic data and GEBV values. Supplementary Table S2. GWAS analyzes statistical information. Supplementary Table S3. GWAS association loci and candidate gene information. Supplementary Table S4. Functional annotation information of GWAS candidate genes in the P. cathayana genome. Supplementary Table S5. KEGG enrichment results of GWAS candidate genes. Supplementary Table S6. The average Ratio-GD and Ratio-PH of the 34 regional Populus cathayana populations. Supplementary Table S7. Transcriptome sample quality control results. Supplementary Table S8. Gene ID and functional annotation of the pink module. Supplementary Table S9. gene ID and functional annotation of the greenyellow module. Supplementary Table S10. GWAS and transcriptome results overlap gene ID and expression level. Supplementary Table S11. qRT-RCR primer sequences.
DOI: 10.6084/m9.figshare.26580560.v1
title: Additional file 2 of Combining GS-assisted GWAS and transcriptome analysis to mine candidate genes for nitrogen utilization efficiency in Populus cathayana

description: Additional file 2: Supplementary Table S1. GS anlysis of phenotypic data and GEBV values. Supplementary Table S2. GWAS analyzes statistical information. Supplementary Table S3. GWAS association loci and candidate gene information. Supplementary Table S4. Functional annotation information of GWAS candidate genes in the P. cathayana genome. Supplementary Table S5. KEGG enrichment results of GWAS candidate genes. Supplementary Table S6. The average Ratio-GD and Ratio-PH of the 34 regional Populus cathayana populations. Supplementary Table S7. Transcriptome sample quality control results. Supplementary Table S8. Gene ID and functional annotation of the pink module. Supplementary Table S9. gene ID and functional annotation of the greenyellow module. Supplementary Table S10. GWAS and transcriptome results overlap gene ID and expression level. Supplementary Table S11. qRT-RCR primer sequences.
DOI: 10.15468/dl.tvq392
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.545294 -33.202424, 147.545294 -33.20467, 147.547539 -33.20467, 147.547539 -33.202424, 147.545294 -33.202424)), ((147.545294 -33.202424, 147.545294 -33.18895, 147.547539 -33.18895, 147.547539 -33.182212, 147.538556 -33.182212, 147.538556 -33.197933, 147.540802 -33.197933, 147.540802 -33.202424, 147.545294 -33.202424)), ((147.547539 -33.202424, 147.552031 -33.202424, 147.552031 -33.197933, 147.547539 -33.197933, 147.547539 -33.202424)), ((147.547539 -33.182212, 147.552031 -33.182212, 147.552031 -33.179966, 147.554277 -33.179966, 147.554277 -33.18895, 147.556523 -33.18895, 147.556523 -33.173229, 147.552031 -33.173229, 147.552031 -33.177721, 147.547539 -33.177721, 147.547539 -33.182212)), ((147.552031 -33.173229, 147.552031 -33.170983, 147.556523 -33.170983, 147.556523 -33.166492, 147.547539 -33.166492, 147.547539 -33.173229, 147.552031 -33.173229)))"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068456-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d5ryr3
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((86.84537 22.75476,87.3557 20.85139,91.67277 21.05828,91.53485 23.29267,86.84537 22.75476))",
 "OccurrenceStatus is Present",
 "TaxonKey is Copepoda"
 ]
}

 The dataset's 14 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068442-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw2kr8
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poa pratensis subsp. pratensis",
 "VerbatimScientificName is Poa pratensis subsp. pratensis"
 ]
}

 The dataset includes 42 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068457-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sxum93
title: Occurrence Download

description: A dataset containing 1401397 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Geometry POLYGON((-44.71959 -3.63148,-44.71959 -5.7854,-44.9471 -8.60657,-45.00397 -10.73707,-44.9471 -12.17592,-45.17461 -15.05012,-43.98018 -16.85471,-43.41141 -18.9115,-40.9088 -19.23403,-39.94188 -19.23403,-39.1456 -17.12669,-38.27637 -12.87015,-37.17006 -11.28112,-34.86277 -8.37516,-35.09532 -4.94904,-37.73671 -4.39693,-39.721 -2.63357,-42.26234 -2.69649,-43.80638 -2.43054,-44.71959 -3.63148))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2024"
 ]
}

 The dataset includes 1401397 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068447-240626123714530/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.26580521
title: Additional file 2 of Characterization of an unusual coating on funerary portraits from Roman Egypt circa 100-300AD

description: Additional file 2: LCMSMS .mgf files.
DOI: 10.6084/m9.figshare.26580545.v1
title: Additional file 3 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 3. Overview of available MLST schemes for some members of the Pasteurellaceae family.
DOI: 10.6084/m9.figshare.26580551
title: Additional file 5 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 5. Overview of used plasmid-specific primers.
DOI: 10.6084/m9.figshare.26580551.v1
title: Additional file 5 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 5. Overview of used plasmid-specific primers.
DOI: 10.6084/m9.figshare.26580521.v1
title: Additional file 2 of Characterization of an unusual coating on funerary portraits from Roman Egypt circa 100-300AD

description: Additional file 2: LCMSMS .mgf files.
DOI: 10.6084/m9.figshare.26580518.v1
title: Additional file 1 of Characterization of an unusual coating on funerary portraits from Roman Egypt circa 100-300AD

description: Additional file 1: Mascot Summary Reports.
DOI: 10.6084/m9.figshare.26580524.v1
title: Additional file 3 of Characterization of an unusual coating on funerary portraits from Roman Egypt circa 100-300AD

description: Additional file 3: mMass .msd files.
DOI: 10.6084/m9.figshare.26580539.v1
title: Additional file 1 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 1. Overview of used WGS data for Actinobacillus spp. strains, including accessions, genome QC, and excluded strains based on divergence.
DOI: 10.6084/m9.figshare.26626342
title: Additional file 2 of Effect of short-term compression therapy after thermal ablation for varicose veins: study protocol for a prospective, multicenter, non-inferiority, randomized controlled trial

description: Additional file 2.
DOI: 10.6084/m9.figshare.26580542
title: Additional file 2 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 2. Overview of rMLST analysis results for all used WGS genomes. Whenever percentages do not add up to 100%, not all ribosomal gene sequences could be proper classified or identified in the used genome.
DOI: 10.15468/dl.nyymm7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.881544 -33.184458, 148.881544 -33.191195, 148.886036 -33.191195, 148.886036 -33.184458, 148.881544 -33.184458))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068458-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26733511
title: Additional file 5 of CONSORT statement adherence and risk of bias in randomized controlled trials on deep caries management: a meta-research

description: Supplementary Material 5.
DOI: 10.6084/m9.figshare.26733511.v1
title: Additional file 5 of CONSORT statement adherence and risk of bias in randomized controlled trials on deep caries management: a meta-research

description: Supplementary Material 5.
DOI: 10.34740/kaggle/dsv/9179845
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.6084/m9.figshare.26731984
title: Paleomidden Ages Data

description: This folder contains the datasets for the ages of all reported middens.There are four datasets split into different geographic regions.North America - middens.dbChile - chile_middensPeru - peru_middensArgentina and Bolivia - ar_bo_middens
DOI: 10.6084/m9.figshare.26733517
title: Additional file 1 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26733517.v1
title: Additional file 1 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26733520
title: Additional file 2 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26733520.v1
title: Additional file 2 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26733523
title: Additional file 3 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.26733523.v1
title: Additional file 3 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 3.
DOI: 10.6084/m9.figshare.26733526
title: Additional file 4 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26733526.v1
title: Additional file 4 of Evaluation of diagnostic techniques for early detection of heartworm in experimentally infected dogs: identification of Dirofilaria immitis-derived microRNA in the initial 28 weeks post-inoculation

description: Supplementary Material 4.
DOI: 10.6084/m9.figshare.26626438.v1
title: Additional file 3 of Comparative transcriptome analysis of high- and low-embryogenic Hevea brasiliensis genotypes reveals involvement of phytohormones in somatic embryogenesis

description: Additional file 3: Supplementary Table 3. Expression of genes enriched in MAPK signaling pathway in four stages of somatic embryogenesis of Hevea genotypes YT and RT.
DOI: 10.15468/dl.4gzvps
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entosthodon limbatus Müll.Hal."
 ]
}

 The dataset includes 169 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068459-240626123714530/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.26733540
title: Additional file 1 of Identification of genetic variants controlling diosgenin content in Dioscorea zingiberensis tuber by genome-wide association study

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26733540.v1
title: Additional file 1 of Identification of genetic variants controlling diosgenin content in Dioscorea zingiberensis tuber by genome-wide association study

description: Supplementary Material 1.
DOI: 10.6084/m9.figshare.26733543
title: Additional file 2 of Identification of genetic variants controlling diosgenin content in Dioscorea zingiberensis tuber by genome-wide association study

description: Supplementary Material 2.
DOI: 10.6084/m9.figshare.26733543.v1
title: Additional file 2 of Identification of genetic variants controlling diosgenin content in Dioscorea zingiberensis tuber by genome-wide association study

description: Supplementary Material 2.
DOI: 10.25934/pr00010429
title: Data challenge : Variables for accurate AMR prediction models

description: Title: Can artificial intelligence models be trusted? Determining the variables for building accurate prediction models for antimicrobial resistance

Artificial intelligence (AI) has the potential to be a powerful tool in the field of antimicrobial resistance (AMR), owing to its ability to analyze huge amount of data in no time and predict patterns based on past data. But as they say, with great power comes great responsibility. Before designing and implementing a prediction model in a real-world patient care setting, we need to address two questions. First, what parameters to include before building the model and second, how accurate the predictions are. We aim to address these questions using the global datasets available. Our primary objective is to design multiple AI models to predict susceptibility patterns and determine factors and variables that can be used to validate a prediction model. For validation, we will analyze intra and inter-dataset concordance between predicted result and true result. For intra-dataset analysis, we will build prediction models using a part of the dataset and then apply the model on the remaining part to determine the accuracy. This will help address the following question whether a model built on global dataset can be applied to any healthcare setting or should models be tailored to a specific healthcare setting, geographical areas, population subgroup, wards etc. Our secondary objective is to select the best prediction model and design a web application based on it. We plan to design the prediction results in a minimalistic user interface and make the results more objective, accompanied by a % probability, keeping in mind their application in tertiary care centers, especially in resource-limited settings. We are requesting all the datasets as both intra and inter comparison of datasets are part of our proposal. We believe this will add insights to close the gap between building models and implementing them in real world and thus, contribute to antimicrobial stewardship.
DOI: 10.15468/dl.5kcxtk
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron dalhousieae Hook.f."
 ]
}

 The dataset includes 13 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068460-240626123714530/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.26580548.v1
title: Additional file 4 of Whole genome sequencing to study antimicrobial resistance and RTX virulence genes in equine Actinobacillus isolates

description: Additional file 4. Overview of identified RTX and RTX toxin-related proteins from all used WGS genomes. Percentages represent protein homologies.