cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9987074.v1
title: MOESM6 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 6:Table S6. GO enrichment analysis of the differentially expressed genes in MSX treated tea leaves vs. non treated tea leaves.
DOI: 10.6084/m9.figshare.9987062.v1
title: MOESM4 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 4: Table S4. The differentially expressed genes (DEGs) in leaves of methionine sulfoximine (MSX) treated and untreated (control) plants.
DOI: 10.6084/m9.figshare.9987068.v1
title: MOESM5 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 5: Table S5. GO enrichment analysis of the differentially expressed genes in MSX treated tea roots vs. non treated tea roots.
DOI: 10.6084/m9.figshare.9987056
title: MOESM3 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 3: Table S3. The differentially expressed genes (DEGs) in roots of methionine sulfoximine (MSX) treated tea plants compared with roots of untreated (control) plants.
DOI: 10.6084/m9.figshare.9987053
title: MOESM16 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 16: Table S16. GO terms of targets of DEMs in cultivated grape.
DOI: 10.6084/m9.figshare.9987053.v1
title: MOESM16 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 16: Table S16. GO terms of targets of DEMs in cultivated grape.
DOI: 10.6084/m9.figshare.9987056.v1
title: MOESM3 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 3: Table S3. The differentially expressed genes (DEGs) in roots of methionine sulfoximine (MSX) treated tea plants compared with roots of untreated (control) plants.
DOI: 10.6084/m9.figshare.9987044
title: MOESM15 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 15: Table S15. Target genes of Chinese wild grape miRNAs identified based on degradome sequencing.
DOI: 10.6084/m9.figshare.9987038
title: MOESM14 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 14: Table S14. Target genes of cultivated grape miRNAs identified based on degradome sequencing.
DOI: 10.6084/m9.figshare.9987038.v1
title: MOESM14 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 14: Table S14. Target genes of cultivated grape miRNAs identified based on degradome sequencing.
DOI: 10.6084/m9.figshare.9987044.v1
title: MOESM15 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 15: Table S15. Target genes of Chinese wild grape miRNAs identified based on degradome sequencing.
DOI: 10.6084/m9.figshare.9987029
title: MOESM13 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 13: Table S13. Target genes of 40 differential expressed tendencyâ s miRNA orthologous.
DOI: 10.6084/m9.figshare.9987032
title: MOESM11 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 11:Table S11. List of 125 lipid compounds identified in this study and the fold-change in each lipid between methionine sulfoximine treated (MSX) and control (CK) groups.
DOI: 10.6084/m9.figshare.9987023
title: MOESM10 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 10: Table S10. List of 155 primary metabolites identified in this study.
DOI: 10.6084/m9.figshare.9987020
title: MOESM12 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 12: Table S12. Target genes of Chinese wild grape DEMs.
DOI: 10.6084/m9.figshare.9987032.v1
title: MOESM11 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 11:Table S11. List of 125 lipid compounds identified in this study and the fold-change in each lipid between methionine sulfoximine treated (MSX) and control (CK) groups.
DOI: 10.6084/m9.figshare.9987020.v1
title: MOESM12 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 12: Table S12. Target genes of Chinese wild grape DEMs.
DOI: 10.6084/m9.figshare.9987023.v1
title: MOESM10 of Short-term inhibition of glutamine synthetase leads to reprogramming of amino acid and lipid metabolism in roots and leaves of tea plant (Camellia sinensis L.)

description: Additional file 10: Table S10. List of 155 primary metabolites identified in this study.
DOI: 10.6084/m9.figshare.9987029.v1
title: MOESM13 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 13: Table S13. Target genes of 40 differential expressed tendencyâ s miRNA orthologous.
DOI: 10.6084/m9.figshare.9987014
title: MOESM11 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 11: Table S11. Target genes of Chinese wild grape miRNAs.
DOI: 10.6084/m9.figshare.9987014.v1
title: MOESM11 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 11: Table S11. Target genes of Chinese wild grape miRNAs.
DOI: 10.6084/m9.figshare.9987011
title: MOESM10 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 10: Table S10. Target genes of cultivated grape DEMs.
DOI: 10.6084/m9.figshare.9987011.v1
title: MOESM10 of Small RNA and degradome deep sequencing reveal respective roles of cold-related microRNAs across Chinese wild grapevine and cultivated grapevine

description: Additional file 10: Table S10. Target genes of cultivated grape DEMs.
DOI: 10.6084/m9.figshare.9986954
title: Additional file 3: of Promoting the use of self-management in patients with spine pain managed by chiropractors and chiropractic interns: barriers and design of a theory-based knowledge translation intervention

description: â PAM survey - raw patient dataâ . An Excel sheet provides the raw data for patients surveyed in phase 1 using the PAM instrument. (XLSX 53 kb)
DOI: 10.6084/m9.figshare.9986945
title: MOESM1 of Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature

description: Additional file 1 This file contains our prokaryotes and structural properties information in an XLSX format. It contains the species name, KEGG species code, optimal growth temperature, temperature class, number of nodes for all enzyme graphs, number of nodes for pathway graphs, the number of edges for all enzyme graph, number of edges for the pathway graph, the average clustering coefficient for the all enzyme graphs, the average clustering coefficient for the pathway graphs, the degree exponent for the all enzyme graphs, the degree exponent for the pathway graphs, the edge density for the all enzyme graphs, the edge density for the pathway graphs, the node normalised flow hierarchy for the all enzyme graphs, the node normalised flow hierarchy for the pathway graphs, the node normalised size of the largest strongly connected component for the all enzyme graphs, the node normalised size of the largest strongly connected component for the pathway graphs.
DOI: 10.6084/m9.figshare.9986951
title: MOESM2 of Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature

description: Additional file 2 This file contains the average Laplacian spectrum per temperature class, sorted in decreasing order. The Laplacian matrix size is the number of nodes in the union of nodes for all our networks.
DOI: 10.6084/m9.figshare.9986951.v1
title: MOESM2 of Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature

description: Additional file 2 This file contains the average Laplacian spectrum per temperature class, sorted in decreasing order. The Laplacian matrix size is the number of nodes in the union of nodes for all our networks.
DOI: 10.6084/m9.figshare.9986954.v1
title: Additional file 3: of Promoting the use of self-management in patients with spine pain managed by chiropractors and chiropractic interns: barriers and design of a theory-based knowledge translation intervention

description: â PAM survey - raw patient dataâ . An Excel sheet provides the raw data for patients surveyed in phase 1 using the PAM instrument. (XLSX 53 kb)
DOI: 10.6084/m9.figshare.9986945.v1
title: MOESM1 of Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature

description: Additional file 1 This file contains our prokaryotes and structural properties information in an XLSX format. It contains the species name, KEGG species code, optimal growth temperature, temperature class, number of nodes for all enzyme graphs, number of nodes for pathway graphs, the number of edges for all enzyme graph, number of edges for the pathway graph, the average clustering coefficient for the all enzyme graphs, the average clustering coefficient for the pathway graphs, the degree exponent for the all enzyme graphs, the degree exponent for the pathway graphs, the edge density for the all enzyme graphs, the edge density for the pathway graphs, the node normalised flow hierarchy for the all enzyme graphs, the node normalised flow hierarchy for the pathway graphs, the node normalised size of the largest strongly connected component for the all enzyme graphs, the node normalised size of the largest strongly connected component for the pathway graphs.
DOI: 10.6084/m9.figshare.9986930
title: MOESM8 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 8: Table S7. Primer information for 768 SNPs of Pinus thunbergii for BioMark 96.96 Dynamic Array (Fluidigm) using KASPar assays. Locus name, LG position, target SNP and sequence flanking the queried SNPs (in brackets) are described. Furthermore, sequences for allele-specific primers (ASP1 and ASP2), locus-specific primer (LSP), and specific target amplification primer (STA) are also described.
DOI: 10.6084/m9.figshare.9986930.v1
title: MOESM8 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 8: Table S7. Primer information for 768 SNPs of Pinus thunbergii for BioMark 96.96 Dynamic Array (Fluidigm) using KASPar assays. Locus name, LG position, target SNP and sequence flanking the queried SNPs (in brackets) are described. Furthermore, sequences for allele-specific primers (ASP1 and ASP2), locus-specific primer (LSP), and specific target amplification primer (STA) are also described.
DOI: 10.6084/m9.figshare.9986918
title: MOESM6 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 6: Table S5. Details of 206 EST-SSR markers derived from 756 non-redundant ESTs in Pinus thunbergii.
DOI: 10.6084/m9.figshare.9986921
title: MOESM7 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 7: Table S6. Characteristics of 768 SNPs of Pinus thunbergii on Illuminaâ s GoldenGate platform. Locus name, LG position, target SNP and sequence flanking the queried SNPs (in brackets) are described.
DOI: 10.6084/m9.figshare.9986918.v1
title: MOESM6 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 6: Table S5. Details of 206 EST-SSR markers derived from 756 non-redundant ESTs in Pinus thunbergii.
DOI: 10.6084/m9.figshare.9986921.v1
title: MOESM7 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 7: Table S6. Characteristics of 768 SNPs of Pinus thunbergii on Illuminaâ s GoldenGate platform. Locus name, LG position, target SNP and sequence flanking the queried SNPs (in brackets) are described.
DOI: 10.6084/m9.figshare.9986909
title: MOESM5 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 5: Table S4. Summary of BLAST search results of ESTs derived from Roche 454-FLX and Sanger reads assembly. Accession ID of 454 and Sanger data is as for the Transcriptome Shotgun Assembly (TSA) division of the DDBJ database.
DOI: 10.6084/m9.figshare.9986906
title: MOESM4 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 4: Table S3. Details of 87 genomic DNA-derived SSR markers in Pinus thunbergii.
DOI: 10.6084/m9.figshare.9986909.v1
title: MOESM5 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 5: Table S4. Summary of BLAST search results of ESTs derived from Roche 454-FLX and Sanger reads assembly. Accession ID of 454 and Sanger data is as for the Transcriptome Shotgun Assembly (TSA) division of the DDBJ database.
DOI: 10.6084/m9.figshare.9986903
title: MOESM3 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 3: Table S2. Syntenic relationship between Pinus thunbergii linkage group and P. taeda linkage group. P. taeda genetic linkage map data were based on a previous report [25].
DOI: 10.6084/m9.figshare.9986897
title: MOESM2 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 2: Table S1. Correspondence of orthologous markers mapped on P. thunbergii and P. taeda linkage groups.
DOI: 10.6084/m9.figshare.9986906.v1
title: MOESM4 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 4: Table S3. Details of 87 genomic DNA-derived SSR markers in Pinus thunbergii.
DOI: 10.6084/m9.figshare.9986903.v1
title: MOESM3 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 3: Table S2. Syntenic relationship between Pinus thunbergii linkage group and P. taeda linkage group. P. taeda genetic linkage map data were based on a previous report [25].
DOI: 10.6084/m9.figshare.9986897.v1
title: MOESM2 of Construction of genetic linkage map and identification of a novel major locus for resistance to pine wood nematode in Japanese black pine (Pinus thunbergii)

description: Additional file 2: Table S1. Correspondence of orthologous markers mapped on P. thunbergii and P. taeda linkage groups.
DOI: 10.6084/m9.figshare.9986858
title: MOESM1 of Transcriptome analysis identified a novel 3-LncRNA regulatory network of transthyretin attenuating glucose induced hRECs dysfunction in diabetic retinopathy

description: Additional file 1: Table S1. We listed the TTR-mRNAs and TTR-lncRNAs, respectively. A total of 853 TTR-mRNAs/transcripts and 48 TTR-mRNAs/transcripts with normalized expression level in low glucose (LG), high glucose (HG) and TTRâ +â TTR co-treated (TTR) groups, relative expression fold change (log2 transformed) with P value and FDR in TTR/HG and HG/LG groups, gene ID and gene symbol were shown.
DOI: 10.25582/data.2023-03.2771831/2326447
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772381/2326448
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773334/2326449
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772731/2326450
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772727/2326451
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772679/2326452
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773258/2326453
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772499/2326454
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2771747/2326455
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773162/2326456
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772642/2326457
title: Data for EMSL Project 51287 from March 2023
DOI: 10.6084/m9.figshare.25476709
title: Untitled Item

description: 123456
DOI: 10.6084/m9.figshare.25476709.v1
title: Untitled Item

description: 123456
DOI: 10.25582/data.2023-03.2771900/2326458
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773339/2326459
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772445/2326460
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772736/2326461
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772733/2326462
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2771894/2326463
title: Data for EMSL Project 51287 from March 2023
DOI: 10.6084/m9.figshare.25458226.v1
title: <b>The influence of enteroendocrine cells on gut microbiota</b>

description: 20 midguts of mated female flies of the indicated genotypes and ages were dissected in 1x PBS solution, and DNA was extracted using TIANamp Genomic DNA Kit (TIANGEN Biotech, Cat# DP304-02). 16s rRNA sequencing and analysis was performed by Majorbio. The species differences between the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;attp empty </i>3d after eclosion (AE) and<i> esg</i><sup><em>p</em></sup><i>&gt;scute</i><sup><em>RNAi</em></sup> 3d AE flies were performed using the Wilcoxon rank sum test method at the phylum level based on OTU.C3d gut means the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;attp empty </i>3d AE flies (control).E3d gut means the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;scute</i><sup><em>RNAi</em></sup><i> </i>3d AE flies (no enteroendocrine cell).Three samples (.1, .2, .3) of each genotype were tested independently.
DOI: 10.6084/m9.figshare.25458226
title: <b>The influence of enteroendocrine cells on gut microbiota</b>

description: 20 midguts of mated female flies of the indicated genotypes and ages were dissected in 1x PBS solution, and DNA was extracted using TIANamp Genomic DNA Kit (TIANGEN Biotech, Cat# DP304-02). 16s rRNA sequencing and analysis was performed by Majorbio. The species differences between the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;attp empty </i>3d after eclosion (AE) and<i> esg</i><sup><em>p</em></sup><i>&gt;scute</i><sup><em>RNAi</em></sup> 3d AE flies were performed using the Wilcoxon rank sum test method at the phylum level based on OTU.C3d gut means the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;attp empty </i>3d AE flies (control).E3d gut means the gut microbiota in <i>esg</i><sup><em>p</em></sup><i>&gt;scute</i><sup><em>RNAi</em></sup><i> </i>3d AE flies (no enteroendocrine cell).Three samples (.1, .2, .3) of each genotype were tested independently.
DOI: 10.25582/data.2023-03.2772779/2326464
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773038/2326465
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772283/2326466
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773348/2326467
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773342/2326468
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772425/2326469
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773181/2326470
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772313/2326471
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773302/2326472
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772781/2326473
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772442/2326474
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772725/2326475
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773335/2326476
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772043/2326477
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772718/2326478
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772741/2326479
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2771628/2326480
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772440/2326481
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772270/2326482
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772724/2326483
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2771791/2326484
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2771823/2326485
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772382/2326486
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773197/2326487
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773293/2326488
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773028/2326489
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2773030/2326490
title: Data for EMSL Project 51287 from March 2023
DOI: 10.25582/data.2023-03.2772023/2326491
title: Data for EMSL Project 51287 from March 2023