cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12858987
title: Additional file 2 of Genome-Wide Association Study of Rice Rooting Ability at the Seedling Stage

description: Additional file 2: Table S1. Summary of 145 rice accessions and their phenotypic traits related to root growth ability. Table S2. Significant loci detected in the full population. Table S3. Significant loci detected in the indica population. Table S4. Significant loci detected in the japonica population. Table S5. The primers of genes for qRT-PCR and DNA sequencing analysis. Table S6. The results of relative expression level of candidate genes.
DOI: 10.6084/m9.figshare.16528806
title: Additional file 16 of Circ-GALNT16 restrains colorectal cancer progression by enhancing the SUMOylation of hnRNPK

description: Additional file 16: Table S6. The mRNA sequencing results constructed in circ-GALNT16 overexpression and control RKO cells.
DOI: 10.6084/m9.figshare.12858789
title: Additional file 8 of Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color

description: Additional file 8: Table S4. GO enrichment analysis for DEG in Lv and Bai fruit skin.
DOI: 10.6084/m9.figshare.16528794
title: Additional file 12 of Circ-GALNT16 restrains colorectal cancer progression by enhancing the SUMOylation of hnRNPK

description: Additional file 12: Table S2. The expression of circ-GALNT16 in 100 pairs of CRC tissues and relative expression in different pathological groups.
DOI: 10.6084/m9.figshare.14955947.v1
title: Additional file 4 of Resequencing and transcriptomic analysis reveal differences in nitrite reductase in jujube fruit (Ziziphus jujuba Mill.)

description: Additional file 4. LOC107427052 protein sequences from ‘Dongzao’, ‘Linhuang No. 1’ and ‘Muzao’.
DOI: 10.6084/m9.figshare.14956049.v1
title: Additional file 3 of A methylation-based nomogram for predicting survival in patients with lung adenocarcinoma

description: Additional file 3: Table S3. Annotation of methylation probes corresponding to three target genes.
DOI: 10.6084/m9.figshare.25224863
title: Experimento enoturismo facebook

description: The database shows attentional response information collected with an eye scan. The data shows information related to three advertisements, each referring to people, wineries and landscapes. All data were extracted from the social network Facebook.
DOI: 10.6084/m9.figshare.25224863.v1
title: Experimento enoturismo facebook

description: The database shows attentional response information collected with an eye scan. The data shows information related to three advertisements, each referring to people, wineries and landscapes. All data were extracted from the social network Facebook.
DOI: 10.5281/zenodo.10663113
title: col-LAUT – Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands

description: The measurement of tree parameters from point cloud data collected with terrestrial (TLS) and personal (PLS) laser scanning devices has increased in importance. When merging the spectral information from a camera with a 3D point cloud, a colorized point cloud can be generated. This information can be used to automatically classify trees with colorful markings (dots, streaks) or to recognize numbers written on the trees. The automatic extraction of marked trees is useful for calculating the parameters of the specific trees meant for harvest, producing models and visualizations of the result of possible stand tending operations or to make finding specific trees in the point cloud of large research plots more practical and less time consuming.

This dataset contains colorized single tree point clouds wtih dots, streaks, and numbers collected with a TLS (RIEGL VZ-400i, Riegl Laser Measurement Systems GmbH, Horn, Austria; with an additional Nikon D850 DSLR camera and attached Nikon AF 14mm f/2.8 D ED fisheye lens) and a PLS system (GeoSLAM ZEB Discovery System combining the GeoSLAM ZEB Horizon with the NCTech iSTAR Pulsar 360-degree camera, GeoSLAM Ltd., Nottingham, UK). The dataset consists of single tree point clouds, stem panorama plots showing the trees surface form 0.5 m up to 3 m height and tables containing the attributes to generate the images in *.csv format. Furthermore, the reference data is provided in a *.xlsx file containing tree id (that can also be found in the names of the tree files), tree species, dbh (diameter at breast height) and whether a tree was marked or not (and if so, specifying the type of marking). Additionally, this dataset contains extracted clusters of the numbers on the trees from the TLS data (in two different point-thickness settings), pre-processed images of stem panorama plots (to show the numbers in higher quality), labelled numbers, numbers from the best training and test split, as well as tables containing the results from our digit recognition with a YOLOv8 model.
DOI: 10.5281/zenodo.10663114
title: col-LAUT – Colorized point clouds of marked trees collected with Terrestrial and Personal laser scanning from Austrian forest stands

description: The measurement of tree parameters from point cloud data collected with terrestrial (TLS) and personal (PLS) laser scanning devices has increased in importance. When merging the spectral information from a camera with a 3D point cloud, a colorized point cloud can be generated. This information can be used to automatically classify trees with colorful markings (dots, streaks) or to recognize numbers written on the trees. The automatic extraction of marked trees is useful for calculating the parameters of the specific trees meant for harvest, producing models and visualizations of the result of possible stand tending operations or to make finding specific trees in the point cloud of large research plots more practical and less time consuming.

This dataset contains colorized single tree point clouds wtih dots, streaks, and numbers collected with a TLS (RIEGL VZ-400i, Riegl Laser Measurement Systems GmbH, Horn, Austria; with an additional Nikon D850 DSLR camera and attached Nikon AF 14mm f/2.8 D ED fisheye lens) and a PLS system (GeoSLAM ZEB Discovery System combining the GeoSLAM ZEB Horizon with the NCTech iSTAR Pulsar 360-degree camera, GeoSLAM Ltd., Nottingham, UK). The dataset consists of single tree point clouds, stem panorama plots showing the trees surface form 0.5 m up to 3 m height and tables containing the attributes to generate the images in *.csv format. Furthermore, the reference data is provided in a *.xlsx file containing tree id (that can also be found in the names of the tree files), tree species, dbh (diameter at breast height) and whether a tree was marked or not (and if so, specifying the type of marking). Additionally, this dataset contains extracted clusters of the numbers on the trees from the TLS data (in two different point-thickness settings), pre-processed images of stem panorama plots (to show the numbers in higher quality), labelled numbers, numbers from the best training and test split, as well as tables containing the results from our digit recognition with a YOLOv8 model.
DOI: 10.6084/m9.figshare.12858891.v1
title: Additional file 1 of P-selectin (CD62P) and soluble TREM-like transcript-1 (sTLT-1) are associated with coronary artery disease: a case control study

description: Additional file 1.
DOI: 10.6084/m9.figshare.12858891
title: Additional file 1 of P-selectin (CD62P) and soluble TREM-like transcript-1 (sTLT-1) are associated with coronary artery disease: a case control study

description: Additional file 1.
DOI: 10.6084/m9.figshare.16528794.v1
title: Additional file 12 of Circ-GALNT16 restrains colorectal cancer progression by enhancing the SUMOylation of hnRNPK

description: Additional file 12: Table S2. The expression of circ-GALNT16 in 100 pairs of CRC tissues and relative expression in different pathological groups.
DOI: 10.6084/m9.figshare.12858780
title: Additional file 5 of Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color

description: Additional file 5: Table S1. Differentially metabolites in the skin of Lv and Bai fruit.
DOI: 10.6084/m9.figshare.12858780.v1
title: Additional file 5 of Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color

description: Additional file 5: Table S1. Differentially metabolites in the skin of Lv and Bai fruit.
DOI: 10.6084/m9.figshare.12858848.v1
title: Additional file 11 of HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

description: Additional file 11: Table S11. The web link of each HCC sample. The web link of each sample was supplied.
DOI: 10.6084/m9.figshare.12858792
title: Additional file 9 of Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color

description: Additional file 9: Table S5. List of primer of qRT-PCR.
DOI: 10.6084/m9.figshare.12858848
title: Additional file 11 of HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

description: Additional file 11: Table S11. The web link of each HCC sample. The web link of each sample was supplied.
DOI: 10.6084/m9.figshare.12858857
title: Additional file 1 of HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

description: Additional file 1: Table S1. HCC clinical information from TCGA database. The clinical follow-up information was downloaded from the TCGA GDC API.
DOI: 10.6084/m9.figshare.12858863
title: Additional file 3 of HDNA methylation data-based molecular subtype classification related to the prognosis of patients with hepatocellular carcinoma

description: Additional file 3: Table S3. Clinical follow-up information from training set. The 348 HCC samples were divided into a training set (n = 174) which obtained clinical follow-up information.
DOI: 10.34740/kaggle/ds/1274146
title: Health Screening Data
DOI: 10.6084/m9.figshare.13627214
title: Additional file 10 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 10. Positive lipidomics metabolomics data raw.
DOI: 10.6084/m9.figshare.13627214.v1
title: Additional file 10 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 10. Positive lipidomics metabolomics data raw.
DOI: 10.6084/m9.figshare.13627217
title: Additional file 11 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 11. Cohort data.
DOI: 10.6084/m9.figshare.13627217.v1
title: Additional file 11 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 11. Cohort data.
DOI: 10.6084/m9.figshare.13627220.v1
title: Additional file 12 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 12. Selected features.
DOI: 10.6084/m9.figshare.13627220
title: Additional file 12 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 12. Selected features.
DOI: 10.6084/m9.figshare.13627226.v1
title: Additional file 14 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 14. Pathway enrichment.
DOI: 10.6084/m9.figshare.13627226
title: Additional file 14 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 14. Pathway enrichment.
DOI: 10.6084/m9.figshare.13627232
title: Additional file 1 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 1. Dietary biomarkers data processed.
DOI: 10.6084/m9.figshare.13627232.v1
title: Additional file 1 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 1. Dietary biomarkers data processed.
DOI: 10.6084/m9.figshare.13627238.v1
title: Additional file 3 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 3. GCTOF metabolomics data processed.
DOI: 10.6084/m9.figshare.13627238
title: Additional file 3 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 3. GCTOF metabolomics data processed.
DOI: 10.6084/m9.figshare.13627235
title: Additional file 2 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 2. Dietary biomarkers data raw.
DOI: 10.6084/m9.figshare.13627235.v1
title: Additional file 2 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 2. Dietary biomarkers data raw.
DOI: 10.6084/m9.figshare.13627241
title: Additional file 4 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 4. GCTOF metabolomics data raw.
DOI: 10.6084/m9.figshare.13627241.v1
title: Additional file 4 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 4. GCTOF metabolomics data raw.
DOI: 10.6084/m9.figshare.13627247
title: Additional file 6 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 6. Gene expression data raw.
DOI: 10.6084/m9.figshare.13627244
title: Additional file 5 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 5. Gene expression data processed.
DOI: 10.6084/m9.figshare.13627244.v1
title: Additional file 5 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 5. Gene expression data processed.
DOI: 10.6084/m9.figshare.14431535
title: Additional file 7 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 7. Negative lipidomics metabolomics data processed.
DOI: 10.6084/m9.figshare.14431538
title: Additional file 8 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 8. Negative lipidomics metabolomics data raw.
DOI: 10.6084/m9.figshare.14431535.v1
title: Additional file 7 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 7. Negative lipidomics metabolomics data processed.
DOI: 10.6084/m9.figshare.14431538.v1
title: Additional file 8 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 8. Negative lipidomics metabolomics data raw.
DOI: 10.6084/m9.figshare.14431541.v1
title: Additional file 9 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 9. Positive lipidomics metabolomics data processed.
DOI: 10.6084/m9.figshare.14431541
title: Additional file 9 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 9. Positive lipidomics metabolomics data processed.
DOI: 10.6084/m9.figshare.13627247.v1
title: Additional file 6 of Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes

description: Additional file 6. Gene expression data raw.
DOI: 10.6084/m9.figshare.14431580
title: Additional file of Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis

description: Additional file of Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis
DOI: 10.6084/m9.figshare.14431580.v1
title: Additional file of Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis

description: Additional file of Quantitative assessment of the association between erector spinae muscle and in-hospital mortality in elderly patients with pulmonary tuberculosis
DOI: 10.5517/ccdc.csd.cc244q34
title: CCDC 1970735: Experimental Crystal Structure Determination

description: Related Article: Hikaru Hirabaru, Daisuke Kawamoto, Miho Ohnishi, Hiromi Ota, Masahiro Sadakane, Kazumichi Yanagisawa, Takuya Hasegawa, Tadaharu Ueda|2020|Eur.J.Inorg.Chem.|2020|682|doi:10.1002/ejic.201901298
DOI: 10.5517/ccdc.csd.cc26k79b
title: CCDC 2042351: Experimental Crystal Structure Determination

description: Related Article: Huang Wenyi|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.14431673
title: Additional file 2 of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa

description: Additional file 2: Figure S1. Maximum-likelihood (ML) tree showing phylogenetic relationships among Callithrix haplotypes as calculated from mitogenome sequences. Numbers at nodes indicate bootstrap support for a given node, otherwise node bootstrap support was 100%. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype. Figure S2. Bayesian tree showing phylogenetic relationships among Callithrix species and hybrid haplotypes from mitogeomes sequences. Numbers at nodes indicate posterior probability for a given node, otherwise node posterior probability was 1. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype. Figure S3. BEAST tree showing phylogenetic relationships and divergence ages in million years (Ma) among Callithrix haplotypes and other New World primates as calculated from mitogeome sequences. Major nodes are identified by capital letters, and blue bars at all nodes indicate 95% highest posterior densities (HPD) of divergence times. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype.
DOI: 10.6084/m9.figshare.14431676
title: Additional file of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa

description: Additional file of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa
DOI: 10.6084/m9.figshare.14431676.v1
title: Additional file of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa

description: Additional file of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa
DOI: 10.6084/m9.figshare.14431673.v1
title: Additional file 2 of Mitogenomic phylogeny of Callithrix with special focus on human transferred taxa

description: Additional file 2: Figure S1. Maximum-likelihood (ML) tree showing phylogenetic relationships among Callithrix haplotypes as calculated from mitogenome sequences. Numbers at nodes indicate bootstrap support for a given node, otherwise node bootstrap support was 100%. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype. Figure S2. Bayesian tree showing phylogenetic relationships among Callithrix species and hybrid haplotypes from mitogeomes sequences. Numbers at nodes indicate posterior probability for a given node, otherwise node posterior probability was 1. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype. Figure S3. BEAST tree showing phylogenetic relationships and divergence ages in million years (Ma) among Callithrix haplotypes and other New World primates as calculated from mitogeome sequences. Major nodes are identified by capital letters, and blue bars at all nodes indicate 95% highest posterior densities (HPD) of divergence times. Haplotype colors at tips correspond to the ‘Species and Hybrid Phenotypes’ legend, and indicate phenotypes associated with each given haplotype.
DOI: 10.6084/m9.figshare.14431721
title: Additional file of A randomised placebo controlled trial of VSL#3® probiotic on biomarkers of cardiovascular risk and liver injury in non-alcoholic fatty liver disease

description: Additional file of A randomised placebo controlled trial of VSL#3® probiotic on biomarkers of cardiovascular risk and liver injury in non-alcoholic fatty liver disease
DOI: 10.6084/m9.figshare.14431721.v1
title: Additional file of A randomised placebo controlled trial of VSL#3® probiotic on biomarkers of cardiovascular risk and liver injury in non-alcoholic fatty liver disease

description: Additional file of A randomised placebo controlled trial of VSL#3® probiotic on biomarkers of cardiovascular risk and liver injury in non-alcoholic fatty liver disease
DOI: 10.6084/m9.figshare.14431724
title: Additional file 1 of Reliable genomic strategies for species classification of plant genetic resources

description: Additional file 1. Prediction accuracy per species and species representation. Classifiers are Random Forest (RF), Naive Bayes (NB), Neighbour-Joining (NJ), 1-Nearest Neighbour (1-NN), and 3-Nearest-Neighbours (3-NN), respectively. The number of accessions per species is denoted by ’n’. The best performance for each dataset is presented in bold.