cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12644545.v1
title: Additional file 8 of Tandem mass tag-based (TMT) quantitative proteomics analysis reveals the response of fine roots to drought stress in cotton (Gossypium hirsutum L.)

description: Additional file 8: Table S4. KEGG pathway enrichment of DEPs in ‘DS45 vs DS30’ comparison group.
DOI: 10.6084/m9.figshare.10028135
title: MOESM1 of 2-DE-based proteomic analysis of protein changes associated with etiolated mesocotyl growth in Zea mays

description: Additional file 1: Table S1. Consensus analysis and relative abundance changes in mesocotyl proteins resolved in 2-DE. The relative abundances (volumes) of the spots were determined using PDQuest8.0 software.
DOI: 10.6084/m9.figshare.10028135.v1
title: MOESM1 of 2-DE-based proteomic analysis of protein changes associated with etiolated mesocotyl growth in Zea mays

description: Additional file 1: Table S1. Consensus analysis and relative abundance changes in mesocotyl proteins resolved in 2-DE. The relative abundances (volumes) of the spots were determined using PDQuest8.0 software.
DOI: 10.13120/zzeg-j721
title: SSI_EuroMASS

description: Open data from the Soil-Structure Interaction (SSI) EuroMASS experiment performed between 6-28 April 2022 on the OGS test site Piana di Toppo. For the need of the experiment, EuroMASS, a simple structure consisting of a lumped mass overtopping a steel column on a concrete base, was designed, and assembled on the test site. The experimental campaign included ambient noise measurements and active source tests throughout wide frequency and amplitude ranges. The dataset contains the seismic data recorded by 15 three-component Lennartz sensors connected to 12 RefTek130 digitizers (nine with three channels and three with six channels).

https://opendata.ogs.it/SSI_EuroMASS_April2022/
DOI: 10.6084/m9.figshare.22606042.v1
title: Additional file 2 of Pan-cancer analysis: predictive role of TAP1 in cancer prognosis and response to immunotherapy

description: Additional file 2: Supplemental Table1. Abbreviations of cancers in the TCGA-Pancancer cohort.
DOI: 10.6084/m9.figshare.22606045.v1
title: Additional file 3 of Pan-cancer analysis: predictive role of TAP1 in cancer prognosis and response to immunotherapy

description: Additional file 3: Supplementary Table 2. The DEGs in each cancer type.
DOI: 10.6084/m9.figshare.22606045
title: Additional file 3 of Pan-cancer analysis: predictive role of TAP1 in cancer prognosis and response to immunotherapy

description: Additional file 3: Supplementary Table 2. The DEGs in each cancer type.
DOI: 10.6084/m9.figshare.22606042
title: Additional file 2 of Pan-cancer analysis: predictive role of TAP1 in cancer prognosis and response to immunotherapy

description: Additional file 2: Supplemental Table1. Abbreviations of cancers in the TCGA-Pancancer cohort.
DOI: 10.7910/dvn/ntafvo
title: Heat transfer analysis on MHD Williamson hybrid nanofluid flow over a heated stretching surface: Aerospace features

description: The development of aerospace technology has resulted in the manufacturing sector being confronted with new requirements and challenges regarding the operation of their technological devices. In order to ensure that aeronautical equipment is being operated in a secure manner, it is of the highest priority that the failure causes be recognized and that the functional lifetime of essential structural parts be increased as early as feasible. More recent years have witnessed the creation of novel substances for use in aviation. Engine oil serves several purposes in an aircraft engine, including lubrication, cooling, cleaning, preventing corrosion, reducing noise, and accelerating the engine. Lubrication is the most significant factor. All of the mechanical parts would be destroyed if they were not serviced. This study is being done with the intention of reducing expenses by increasing the fuel mileage and flying distance of airplane parts, as well as prolonging the service life of aircraft parts. Based on the importance of the inspiration on magnetohydrodynamic Al2O3-Cobalt hybrid nanofluid flow over a stretching surface (SS) in the existence of porous medium, and thermal radiation are investigated. In this model we used Engine oil mixed with Al2O3-Cobalt nanoparticles. By using the suitable self-similarity variables, the PDE is transformed into ODEs. After then, the dimensionless equations are solved by using the MATLAB solver in Bvp5c scheme. Graphs and tables explain how the operational factors affect fluid flow efficiency. This is because hybrid nanofluids have a higher rate of heat transmission when compared to nanofluids.
DOI: 10.6084/m9.figshare.12644548
title: Additional file 9 of Tandem mass tag-based (TMT) quantitative proteomics analysis reveals the response of fine roots to drought stress in cotton (Gossypium hirsutum L.)

description: Additional file 9: Table S5. Comparison between the isobaric labels tandem mass tags (TMT) and parallel reaction monitoring (PRM) results.
DOI: 10.6084/m9.figshare.21557518.v1
title: The complete chloroplast genome of <i>Primula odontocalyx,</i> a heterostylous species

description: <i>Primula odontocalyx</i> (Franch.) Pax (1905) is a perennial herb of the genus <i>Primula</i> in Primulaceae with heterostyly and ornamental value. Here, the chloroplast genome of <i>P. odontocalyx</i> was sequenced, assembled, and annotated. The complete chloroplast genome was a closed-circular molecule of 151,738 bp in length, containing a large single-copy region (LSC) of 83,817 bp, a small single-copy region (SSC) of 17,529 bp, and two inverted repeat (IR) regions of 25,196 bp. A total of 115 unique genes were annotated in the whole cp genome, including 81 protein-coding genes, 4 rRNA genes, and 30 tRNA genes. Phylogenetic analysis confirmed the close relationship between <i>P. odontocalyx</i> and <i>Primula moupinensis</i>, and both species belong to Sect. <i>Petiolares</i> Pax.
DOI: 10.6084/m9.figshare.22606126
title: Additional file 3 of NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

description: Additional file 3: Supplementary tables: Table S1. Summary of the transcription factor (TF)-target databases for both human and mouse genomes. Table S2. Summary of the publicly available gene expression data sets for benchmarking TF-target gene set databases. Table S3. Sign correction for network construction and modeling. Table S4. Predicted driver TFs from network modeling of the EMT network and experimental evidences from the literature.
DOI: 10.6084/m9.figshare.22606126.v1
title: Additional file 3 of NetAct: a computational platform to construct core transcription factor regulatory networks using gene activity

description: Additional file 3: Supplementary tables: Table S1. Summary of the transcription factor (TF)-target databases for both human and mouse genomes. Table S2. Summary of the publicly available gene expression data sets for benchmarking TF-target gene set databases. Table S3. Sign correction for network construction and modeling. Table S4. Predicted driver TFs from network modeling of the EMT network and experimental evidences from the literature.
DOI: 10.6084/m9.figshare.24922620.v2
title: Decline Effect

description: Materials and syntax code related to the paper "The myth of the decline effect in psi research: the empirical evidence" by Patrizio Tressoldi and Lance Storm
DOI: 10.6084/m9.figshare.12644685.v1
title: Additional file 1 of Analysis of lifetime death probability for major causes of death among residents in China

description: Additional file 1. Age-specific mortality rate in different areas in 2004 and 2014, China.
DOI: 10.6084/m9.figshare.12644685
title: Additional file 1 of Analysis of lifetime death probability for major causes of death among residents in China

description: Additional file 1. Age-specific mortality rate in different areas in 2004 and 2014, China.
DOI: 10.34740/kaggle/dsv/7581901
title: ⛽ London Gas Stations: Ratings & Info
DOI: 10.6084/m9.figshare.21557612.v1
title: Additional file 1 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 1. The clinical factors in TCGA.
DOI: 10.6084/m9.figshare.12644752.v1
title: Additional file 4 of Roles for circulating polyunsaturated fatty acids in ischemic stroke and modifiable factors: a Mendelian randomization study

description: Additional file 4: Table S1. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of linoleic acid. Table S2. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of arachidonic acid. Table S3. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of a-linolenic acid. Table S4. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of eicosapentaenoic acid. Table S5. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of docosahexaenoic acid. Table S6. Top significant and independent SNPs (p &lt; 5 × 10− 8, LD r2 &lt; 0.001) in GWAS of docosapentaenoic acid.
DOI: 10.6084/m9.figshare.21557618.v1
title: Additional file 3 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 3. Screening of prognosis-related differentially expressed genes using univariate Cox regression analysis.
DOI: 10.6084/m9.figshare.21557612
title: Additional file 1 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 1. The clinical factors in TCGA.
DOI: 10.6084/m9.figshare.21557593
title: Additional file 9 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 9: Table S8. The DEGs involved in the ‘Carbon fixation in photosynthetic organisms’ pathway.
DOI: 10.6084/m9.figshare.21557618
title: Additional file 3 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 3. Screening of prognosis-related differentially expressed genes using univariate Cox regression analysis.
DOI: 10.6084/m9.figshare.21557623.v1
title: Additional file 2 of Tumor cell-derived asymmetric dimethylarginine regulates macrophage functions and polarization

description: Additional file 2: Table S1. RNA sequencing depicts alteration of arginine metabolism in 4T1 CSCs exposed to activated immune cells (FPKM). Table S2. Primer sequences used for qPCR analyses.
DOI: 10.6084/m9.figshare.21557572
title: Additional file 3 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 3: Table S2. The DEGs involved in the ‘Plant hormone signal transduction’ pathway.
DOI: 10.6084/m9.figshare.21557584.v1
title: Additional file 7 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 7: Table S6. The DEGs involved in the ‘Photosynthesis-antenna proteins’ pathway.
DOI: 10.6084/m9.figshare.21557615
title: Additional file 2 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 2. The differentially expressed genes among TCGA, GSE25727 and GSE27020 datasets.
DOI: 10.6084/m9.figshare.21557581
title: Additional file 6 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 6: Table S5. The DEGs involved in the ‘Porphyrin and chlorophyll metabolism’ pathway.
DOI: 10.6084/m9.figshare.21557615.v1
title: Additional file 2 of Construction of a 10-gene prognostic score model of predicting recurrence for laryngeal cancer

description: Additional file 2. The differentially expressed genes among TCGA, GSE25727 and GSE27020 datasets.
DOI: 10.6084/m9.figshare.21557623
title: Additional file 2 of Tumor cell-derived asymmetric dimethylarginine regulates macrophage functions and polarization

description: Additional file 2: Table S1. RNA sequencing depicts alteration of arginine metabolism in 4T1 CSCs exposed to activated immune cells (FPKM). Table S2. Primer sequences used for qPCR analyses.
DOI: 10.6084/m9.figshare.21557584
title: Additional file 7 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 7: Table S6. The DEGs involved in the ‘Photosynthesis-antenna proteins’ pathway.
DOI: 10.6084/m9.figshare.21557575
title: Additional file 4 of Grapevine (Vitis vinifera) responses to salt stress and alkali stress: transcriptional and metabolic profiling

description: Additional file 4: Table S3. The DEGs involved in the ‘MAPK signaling pathway-plant’ pathway.
DOI: 10.15156/bio/sh1326384.08fu
title: SH1326384.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2005471.08fu
title: SH2005471.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2005472.08fu
title: SH2005472.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1326385.08fu
title: SH1326385.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1326386.08fu
title: SH1326386.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2005473.08fu
title: SH2005473.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2005474.08fu
title: SH2005474.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1326387.08fu
title: SH1326387.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1326388.08fu
title: SH1326388.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.