cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24165311
title: Comprehensive profiling of the metabolome in corn silage inoculated with or without <i>Lactiplantibacillus plantarum</i> using different untargeted metabolomics analyses

description: Silage fermentation is a complicated biochemical process involving interactions between microbes and metabolites. However, the overall metabolome feature of ensiled forage and its response to lactic acid bacteria inoculation is poorly understood. Hence, in this study metabolome profiles of whole-plant corn silage inoculated with or without <i>Lactiplantibacillus plantarum</i> were characterised via solid-phase microextraction/gas chromatography/mass spectrometry (SPME-GC-MS), gas chromatography/time-of-flight mass spectrometry (GC-TOF-MS), and Liquid chromatography/Q Exactive HFX mass spectrometry (LC-QE-MS/MS) analysis. There were 2087 identified metabolites including 1143 reliably identified metabolites in fresh and ensiled whole-plant corn. After ensiling, the increased metabolites in whole-plant corn were mainly composed of organic acids, volatile organic compounds (VOC), benzene and substituted derivatives, carboxylic acids and derivatives, fatty acyls, flavonoids, indoles and derivatives, organooxygen compounds (including amines and amides), phenols, pyridines and derivatives, and steroids and steroid derivatives, which includes neurotransmitters and metabolites with aromatic, antioxidant, anti-inflammatory, and antimicrobial activities. Phenylacetaldehyde was the most abundant aromatic metabolite after ensiling. L-isoleucine and oxoproline were the major free amino acids in silage. Ensiling markedly increased the relative abundances of 3-phenyllactic acid, chrysoeriol, 6-O-acetylaustroinulin, acetylcholine, γ-aminobutyric acid, pyridoxine, and alpha-linoleic acid. Inoculation with <i>L. plantarum</i> remarkably changed silage VOC composition, and essential amino acids, 3-phenyllactic acid, and cinnamaldehyde compared with untreated silage. The present study does not only provide a deeper insight into metabolites of the ensiled whole-plant corn but also reveals metabolites with specific biological functions that could be much helpful in screening novel lactic acid bacteria to well ensile forages. Inoculation with <i>L. plantarum</i> significantly affects the metabolome in ensiled whole-plant corn.
DOI: 10.6084/m9.figshare.24165311.v1
title: Comprehensive profiling of the metabolome in corn silage inoculated with or without <i>Lactiplantibacillus plantarum</i> using different untargeted metabolomics analyses

description: Silage fermentation is a complicated biochemical process involving interactions between microbes and metabolites. However, the overall metabolome feature of ensiled forage and its response to lactic acid bacteria inoculation is poorly understood. Hence, in this study metabolome profiles of whole-plant corn silage inoculated with or without <i>Lactiplantibacillus plantarum</i> were characterised via solid-phase microextraction/gas chromatography/mass spectrometry (SPME-GC-MS), gas chromatography/time-of-flight mass spectrometry (GC-TOF-MS), and Liquid chromatography/Q Exactive HFX mass spectrometry (LC-QE-MS/MS) analysis. There were 2087 identified metabolites including 1143 reliably identified metabolites in fresh and ensiled whole-plant corn. After ensiling, the increased metabolites in whole-plant corn were mainly composed of organic acids, volatile organic compounds (VOC), benzene and substituted derivatives, carboxylic acids and derivatives, fatty acyls, flavonoids, indoles and derivatives, organooxygen compounds (including amines and amides), phenols, pyridines and derivatives, and steroids and steroid derivatives, which includes neurotransmitters and metabolites with aromatic, antioxidant, anti-inflammatory, and antimicrobial activities. Phenylacetaldehyde was the most abundant aromatic metabolite after ensiling. L-isoleucine and oxoproline were the major free amino acids in silage. Ensiling markedly increased the relative abundances of 3-phenyllactic acid, chrysoeriol, 6-O-acetylaustroinulin, acetylcholine, γ-aminobutyric acid, pyridoxine, and alpha-linoleic acid. Inoculation with <i>L. plantarum</i> remarkably changed silage VOC composition, and essential amino acids, 3-phenyllactic acid, and cinnamaldehyde compared with untreated silage. The present study does not only provide a deeper insight into metabolites of the ensiled whole-plant corn but also reveals metabolites with specific biological functions that could be much helpful in screening novel lactic acid bacteria to well ensile forages. Inoculation with <i>L. plantarum</i> significantly affects the metabolome in ensiled whole-plant corn.
DOI: 10.25582/data.2021-09.2326520/2285548
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2022-09.2610641/2285549
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-10.2614891/2285550
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-09.2329603/2285551
title: Data for EMSL Project 51834 from September 2021
DOI: 10.6084/m9.figshare.23641074
title: Preoperative factors influencing the rate and speed of available communication ability in prelingual paediatric cochlear implantation recipients

description: Few studies have assessed factors influencing the rate and speed of good outcomes in cochlear implantation (CI) children. To analyse the factors influencing the rate and speed of available communication in CI children. The study involved 316 children. The categories of auditory performance (CAP) and speech intelligibility rating (SIR) were used to evaluate outcomes. Multivariable proportional Cox regression models were established to analyse the effect of preoperative factors. Five variables were entered into the three multivariable models of CAP ≥6, SIR ≥4 and concurrent CAP ≥6 and SIR ≥4. Older age at implantation was a significant poor factor in the three models with estimated hazard ratios (HRs) of .541, .629, and .554, respectively. Another negative factor was poor parental literacy for the three outcomes (HR .639, .638, and .542, respectively). More than 3 months of rehabilitation from institutes had a positive effect on CAP ≥6 and concurrent CAP ≥6 and SIR ≥4 (HR 1.626 and 1.667, respectively). Older age at implantation and poor parental literacy were negative factors. Receiving regular rehabilitation from institutes pre-CI could help the children gain available communication ability earlier on.
DOI: 10.25582/data.2021-09.2322562/2285552
title: Data for EMSL Project 51834 from September 2021
DOI: 10.6084/m9.figshare.23641074.v1
title: Preoperative factors influencing the rate and speed of available communication ability in prelingual paediatric cochlear implantation recipients

description: Few studies have assessed factors influencing the rate and speed of good outcomes in cochlear implantation (CI) children. To analyse the factors influencing the rate and speed of available communication in CI children. The study involved 316 children. The categories of auditory performance (CAP) and speech intelligibility rating (SIR) were used to evaluate outcomes. Multivariable proportional Cox regression models were established to analyse the effect of preoperative factors. Five variables were entered into the three multivariable models of CAP ≥6, SIR ≥4 and concurrent CAP ≥6 and SIR ≥4. Older age at implantation was a significant poor factor in the three models with estimated hazard ratios (HRs) of .541, .629, and .554, respectively. Another negative factor was poor parental literacy for the three outcomes (HR .639, .638, and .542, respectively). More than 3 months of rehabilitation from institutes had a positive effect on CAP ≥6 and concurrent CAP ≥6 and SIR ≥4 (HR 1.626 and 1.667, respectively). Older age at implantation and poor parental literacy were negative factors. Receiving regular rehabilitation from institutes pre-CI could help the children gain available communication ability earlier on.
DOI: 10.25582/data.2022-04.2479153/2285553
title: Data for EMSL Project 51834 from April 2022
DOI: 10.25582/data.2021-08.2304805/2285554
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-10.2372907/2285555
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25402/epi.16825378
title: Supplementary Table 3. The mRNA targets of treatment-related tsRNAs predicted by 2 software simultaneously.

description: Supplementary Table 3. 
 The mRNA targets of
 treatment-related tsRNAs predicted by 2 software simultaneously.
DOI: 10.25402/epi.16825378.v1
title: Supplementary Table 3. The mRNA targets of treatment-related tsRNAs predicted by 2 software simultaneously.

description: Supplementary Table 3. 
 The mRNA targets of
 treatment-related tsRNAs predicted by 2 software simultaneously.
DOI: 10.25582/data.2022-04.2479106/2285556
title: Data for EMSL Project 51834 from April 2022
DOI: 10.6084/m9.figshare.19446838
title: Transcript profiling of papaya (Carica papaya L.) with CTS-N fertiliser after inoculation with PRSV

description: CTS-N is deacetylation chitosan that can induce the expression of defence genes in plants. PRSV is a virus that can infect papaya and cause disease. It is mainly distributed in tropical and subtropical regions all over the world. The epidemic spread of the virus may seriously affect the papaya industry. In this study, we analysed differently expressed genes that are related to disease resistance after applying CTS-N using RNA-seq and subsequent qPCR analysis. Several genes related to plant defence responses, such as <i>PR-1</i> and <i>WRKY33</i>, were up-regulated. Among the genes, 10 up-regulated and 2 down-regulated genes were involved in the ‘plant pathogen interaction pathway’, ‘phytohormones signal transduction pathway’ and ‘amino sugars pathway’. The CTS-N treatment(1.0 ml/L) can significantly prevent the damage to papaya plants caused by PRSV. The RNA profiling results indicated that CTS-N can induce the expression of defence related genes to enhances a degree of plant defence. Future research may include comparable methodologies for disease resistance research in other plant species.
DOI: 10.25582/data.2022-10.2621527/2285557
title: Data for EMSL Project 51834 from October 2022
DOI: 10.6084/m9.figshare.19446838.v3
title: Transcript profiling of papaya (Carica papaya L.) with CTS-N fertiliser after inoculation with PRSV

description: CTS-N is deacetylation chitosan that can induce the expression of defence genes in plants. PRSV is a virus that can infect papaya and cause disease. It is mainly distributed in tropical and subtropical regions all over the world. The epidemic spread of the virus may seriously affect the papaya industry. In this study, we analysed differently expressed genes that are related to disease resistance after applying CTS-N using RNA-seq and subsequent qPCR analysis. Several genes related to plant defence responses, such as <i>PR-1</i> and <i>WRKY33</i>, were up-regulated. Among the genes, 10 up-regulated and 2 down-regulated genes were involved in the ‘plant pathogen interaction pathway’, ‘phytohormones signal transduction pathway’ and ‘amino sugars pathway’. The CTS-N treatment(1.0 ml/L) can significantly prevent the damage to papaya plants caused by PRSV. The RNA profiling results indicated that CTS-N can induce the expression of defence related genes to enhances a degree of plant defence. Future research may include comparable methodologies for disease resistance research in other plant species.
DOI: 10.6084/m9.figshare.19446838.v2
title: Transcript profiling of papaya (Carica papaya L.) with CTS-N fertiliser after inoculation with PRSV

description: CTS-N is deacetylation chitosan that can induce the expression of defence genes in plants. PRSV is a virus that can infect papaya and cause disease. It is mainly distributed in tropical and subtropical regions all over the world. The epidemic spread of the virus may seriously affect the papaya industry. In this study, we analysed differently expressed genes that are related to disease resistance after applying CTS-N using RNA-seq and subsequent qPCR analysis. Several genes related to plant defence responses, such as <i>PR-1</i> and <i>WRKY33</i>, were up-regulated. Among the genes, 10 up-regulated and 2 down-regulated genes were involved in the ‘plant pathogen interaction pathway’, ‘phytohormones signal transduction pathway’ and ‘amino sugars pathway’. The CTS-N treatment(1.0 ml/L) can significantly prevent the damage to papaya plants caused by PRSV. The RNA profiling results indicated that CTS-N can induce the expression of defence related genes to enhances a degree of plant defence. Future research may include comparable methodologies for disease resistance research in other plant species.
DOI: 10.25582/data.2022-10.2615845/2285558
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-08.2305212/2285559
title: Data for EMSL Project 51834 from August 2021
DOI: 10.25582/data.2021-11.2387578/2285560
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2022-04.2479139/2285561
title: Data for EMSL Project 51834 from April 2022
DOI: 10.25582/data.2021-12.2411291/2285562
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2021-10.2361766/2285563
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-09.2329607/2285564
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-12.2389832/2285565
title: Data for EMSL Project 51834 from December 2021
DOI: 10.25582/data.2022-09.2606247/2285566
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-01.2417223/2285567
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.14728273
title: Additional file 7 of Identification of potential therapeutic targets for atherosclerosis by analysing the gene signature related to different immune cells and immune regulators in atheromatous plaques

description: Additional file 7. Supplementary Table 2: DEGs between ImmuneScoreH cluster and other samples of GSE100927.
DOI: 10.6084/m9.figshare.14728273.v1
title: Additional file 7 of Identification of potential therapeutic targets for atherosclerosis by analysing the gene signature related to different immune cells and immune regulators in atheromatous plaques

description: Additional file 7. Supplementary Table 2: DEGs between ImmuneScoreH cluster and other samples of GSE100927.
DOI: 10.6084/m9.figshare.14728276
title: Additional file 8 of Identification of potential therapeutic targets for atherosclerosis by analysing the gene signature related to different immune cells and immune regulators in atheromatous plaques

description: Additional file 8. Supplementary Table 3: DEGs between ImmuneScoreH cluster and ImmuneScoreL cluster of GSE100927.
DOI: 10.25582/data.2021-09.2330926/2285568
title: Data for EMSL Project 51834 from September 2021
DOI: 10.6084/m9.figshare.14728276.v1
title: Additional file 8 of Identification of potential therapeutic targets for atherosclerosis by analysing the gene signature related to different immune cells and immune regulators in atheromatous plaques

description: Additional file 8. Supplementary Table 3: DEGs between ImmuneScoreH cluster and ImmuneScoreL cluster of GSE100927.
DOI: 10.25582/data.2022-10.2622246/2285569
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2022-10.2623308/2285570
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-11.2389178/2285571
title: Data for EMSL Project 51834 from November 2021
DOI: 10.25582/data.2021-07.2289541/2285572
title: Data for EMSL Project 51834 from July 2021
DOI: 10.25582/data.2021-10.2368773/2285573
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2022-09.2607267/2285574
title: Data for EMSL Project 51834 from September 2022
DOI: 10.25582/data.2022-10.2617435/2285575
title: Data for EMSL Project 51834 from October 2022
DOI: 10.25582/data.2021-10.2368104/2285576
title: Data for EMSL Project 51834 from October 2021
DOI: 10.25582/data.2021-09.2327992/2285577
title: Data for EMSL Project 51834 from September 2021
DOI: 10.25582/data.2021-12.2399806/2285578
title: Data for EMSL Project 51834 from December 2021
DOI: 10.6084/m9.figshare.14728330.v1
title: Additional file 2 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 2: Table S1. Names, origin, and population structure of 259 rice accessions.
DOI: 10.6084/m9.figshare.14728309
title: Additional file 11 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 11: Table S10. GWAS of P6 (2019) resiatance with 259 rice lines using the SNP-set generated by mapping reads to the Nipponbare.
DOI: 10.6084/m9.figshare.14728330
title: Additional file 2 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 2: Table S1. Names, origin, and population structure of 259 rice accessions.
DOI: 10.6084/m9.figshare.14728336.v1
title: Additional file 4 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 4: Table S3. Results of filtered SNP annotation.
DOI: 10.6084/m9.figshare.14728339.v1
title: Additional file 5 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 5: Table S4. Number of SNPs in 259 rice accessiongs using the sequenced data mapped to the Nipponbare refrence genome. MAF: minor allele frequency.
DOI: 10.6084/m9.figshare.14728342
title: Additional file 6 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 6: Table S5. GWAS of P3 (BULP) resiatance with 259 rice lines using the SNP-set generated by mapping reads to the Nipponbare.
DOI: 10.25582/data.2022-01.2416973/2285579
title: Data for EMSL Project 51834 from January 2022
DOI: 10.6084/m9.figshare.14728306
title: Additional file 10 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 10: Table S9. GWAS of P6 (2018) resiatance with 259 rice lines using the SNP-set generated by mapping reads to the Nipponbare.
DOI: 10.6084/m9.figshare.14728306.v1
title: Additional file 10 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 10: Table S9. GWAS of P6 (2018) resiatance with 259 rice lines using the SNP-set generated by mapping reads to the Nipponbare.
DOI: 10.6084/m9.figshare.14728324
title: Additional file 16 of Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

description: Additional file 16: Table S15. Specific primers of candidate gene sequences for qRT-PCR.
DOI: 10.15468/dl.ddts3c
title: Occurrence Download

description: A dataset containing 716626 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 716626 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053242-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuajfy
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melicope rhytidocarpa (Merr. & L.M.Perry) T.G.Hartley"
 ]
}

 The dataset includes 60 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053300-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzp78d
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Michauxia campanuloides L'Hér."
 ]
}

 The dataset includes 342 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053301-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yrp8q
title: Occurrence Download

description: A dataset containing 29852 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Aerodramus terraereginae (E.P.Ramsay, 1875)"
 ]
}

 The dataset includes 29852 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053302-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkcw8b
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mannagettaea hummelii Harry Sm."
 ]
}

 The dataset includes 152 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053304-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9tf32
title: Occurrence Download

description: A dataset containing 3325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "Month is one of (January, February, December, November)",
 "TaxonKey is Geometridae",
 "Year is 2023"
 ]
}

 The dataset includes 3325 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053306-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zr7mc
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melicope richii (A.Gray) T.G.Hartley"
 ]
}

 The dataset includes 19 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053307-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxfj7q
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Michauxia koeieana Rech.f."
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053308-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4mhvd
title: Occurrence Download

description: A dataset containing 28025 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Aerodramus unicolor (Jerdon, 1840)"
 ]
}

 The dataset includes 28025 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053305-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.