cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22609241
title: Additional file 9 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 9: Table S7. GO top 20:GO enrichment analysis for candidate genes as determined by top 1% Fst and π ratio value methods (p &lt; 0.05).
DOI: 10.6084/m9.figshare.22609241.v1
title: Additional file 9 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 9: Table S7. GO top 20:GO enrichment analysis for candidate genes as determined by top 1% Fst and π ratio value methods (p &lt; 0.05).
DOI: 10.6084/m9.figshare.7404950
title: Additional file 1: of Effects of ploidy variation on promoter DNA methylation and gene expression in rice (Oryza sativa L.)

description: Figure S1. Graphical output of CyMATE. (A) In silico analysis of methylation of LOC_Os01g59320 in haploid with CyMA. (B) In silico analysis of methylation of LOC_Os01g59320 in diploid with CyMATE. (C) In silico analysis of methylation of LOC_Os01g59320 in triploid with CyMATE. CyMATE filled symbols represent cytosine methylation, while open symbols represent lack of methylation. The sequence context is distinguished by red circles for mCG (Class 1), blue squares for mCHG (Class 2) and green triangles for mCHH (Class 3). Figure S2. Average expression level in 1X, 2X, and 3X. Effect of methylation on gene expression in different gene regions haploid, diploid and triploid seedling, where 1X, 2X, and 3X represents haploid, diploid and triploid plants. (ZIP 1892 kb)
DOI: 10.6084/m9.figshare.7404959.v1
title: Additional file 7: of Comparative proteomic investigation of drought responses in foxtail millet

description: Table S6. Comparative analysis the transcriptome and proteome data in foxtail millet after drought treatment. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.7929224.v1
title: Additional file 3: of Circular RNA AKT3 upregulates PIK3R1 to enhance cisplatin resistance in gastric cancer via miR-198 suppression

description: Additional Dataset (1) miRNA target prediction of circAKT3. Additional Dataset (2) Eight miR-198 binding sites mutation of circAKT3. Additional Dataset (3) mRNA target prediction of miR-198. (ZIP 1800 kb)
DOI: 10.14473/csda/l3rzy3/knug45
title: PR03_V1501.pdf

description: Občané o inflaci a reálných příjmech – leden 2015. Tisková zpráva CVVM.
DOI: 10.14473/csda/l3rzy3/pynpek
title: PR15_V1501.pdf

description: Občané o vztazích ČR s některými zeměmi – leden 2015. Tisková zpráva CVVM.
DOI: 10.6084/m9.figshare.22609244
title: Additional file 10 of Whole genome sequencing revealed genetic diversity, population structure, and selective signature of Panou Tibetan sheep

description: Additional file 10: Table S8. KEGG top 20: KEGG enrichment analysis for candidate genes as determined by top 1% Fst and π ratio value methods (p &lt; 0.05).
DOI: 10.6084/m9.figshare.7404941.v1
title: Additional file 6: of Comparative proteomic investigation of drought responses in foxtail millet

description: Table S5. The parameters of Protein-Protein Interactions (PPIs) Networks (XLSX 118 kb)
DOI: 10.6084/m9.figshare.7929224
title: Additional file 3: of Circular RNA AKT3 upregulates PIK3R1 to enhance cisplatin resistance in gastric cancer via miR-198 suppression

description: Additional Dataset (1) miRNA target prediction of circAKT3. Additional Dataset (2) Eight miR-198 binding sites mutation of circAKT3. Additional Dataset (3) mRNA target prediction of miR-198. (ZIP 1800 kb)
DOI: 10.6084/m9.figshare.22605043
title: Additional file 7 of Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits

description: Additional file 7: Table S6. The summary of significant GWAS signal enrichment in cattle.
DOI: 10.6084/m9.figshare.22605046
title: Additional file 8 of Comparative epigenomics reveals the impact of ruminant-specific regulatory elements on complex traits

description: Additional file 8: Table S7. The summary of significant GWAS signal enrichment in humans.
DOI: 10.6084/m9.figshare.7404995
title: Additional file 3 of Multiâ omic analysis of signalling factors in inflammatory comorbidities

description: Significant genes for the inflammatory diseases analysed in Step 1. Tables in the Excel file show genes with significant p-values for different inflammatory diseases. Genes are sorted alphabetically in order to identify the gene families. (XLS 58 kb)
DOI: 10.6084/m9.figshare.7404995.v1
title: Additional file 3 of Multiâ omic analysis of signalling factors in inflammatory comorbidities

description: Significant genes for the inflammatory diseases analysed in Step 1. Tables in the Excel file show genes with significant p-values for different inflammatory diseases. Genes are sorted alphabetically in order to identify the gene families. (XLS 58 kb)
DOI: 10.6084/m9.figshare.14220654.v1
title: Additional file 3 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 3. Supplementary Table S2. Dseq of bulk RNA-seq.
DOI: 10.6084/m9.figshare.14220657
title: Additional file 4 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 4. Supplementary Table S3. Pool 1 off-targets.
DOI: 10.14473/csda/l3rzy3/ecdipd
title: NS_1501_DataFile_PAPIaCAPI_bez_jmen.tab

description: Data
DOI: 10.6084/m9.figshare.14220654
title: Additional file 3 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 3. Supplementary Table S2. Dseq of bulk RNA-seq.
DOI: 10.6084/m9.figshare.14220651.v1
title: Additional file 2 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 2. Supplementary Table S1. CRISPR targets.
DOI: 10.14473/csda/l3rzy3/xagzvm
title: PR10_V1501.pdf

description: Důvěra vrcholným politikům - leden 2015. Tisková zpráva CVVM.
DOI: 10.14473/csda/l3rzy3
title: Naše společnost 2015 - leden

description: Výzkum provedl výzkumný tým CVVM Sociologického ústavu AV ČR, v.v.i., v rámci výzkumu „Naše společnost 2015". Sběr dat provedla tazatelská síť CVVM.
DOI: 10.14473/csda/l3rzy3/unrhho
title: PR14_V1501.pdf

description: Sympatie české veřejnosti k některým zemím – leden 2015. Tisková zpráva CVVM.
DOI: 10.6084/m9.figshare.14220663
title: Additional file 6 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 6. Supplementary Table S5. sgRNA off-targets and CArG boxes.
DOI: 10.6084/m9.figshare.14220669.v1
title: Additional file 8 of Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

description: Additional file 8. Supplementary Table S7. List of primers.
DOI: 10.6084/m9.figshare.7404959
title: Additional file 7: of Comparative proteomic investigation of drought responses in foxtail millet

description: Table S6. Comparative analysis the transcriptome and proteome data in foxtail millet after drought treatment. (XLSX 17 kb)
DOI: 10.5281/zenodo.8417533
title: Desorption Lifetimes and Activation Energies Influencing Gas-Surface Interactions and Multiphase Chemical Kinetics

description: This dataset is the electronic version of Tables A1-A15 given in the Atmospheric Chemistry and Physics publication entitled "Desorption Lifetimes and Activation Energies Influencing Gas-Surface Interactions and Multiphase Chemical Kinetics" by Daniel A. Knopf, Markus Ammann, Thomas Berkemeier, Ulrich Pöschl, Manabu Shiraiwa.
DOI: 10.5281/zenodo.8417534
title: Desorption Lifetimes and Activation Energies Influencing Gas-Surface Interactions and Multiphase Chemical Kinetics

description: This dataset is the electronic version of Tables A1-A15 given in the Atmospheric Chemistry and Physics publication entitled "Desorption Lifetimes and Activation Energies Influencing Gas-Surface Interactions and Multiphase Chemical Kinetics" by Daniel A. Knopf, Markus Ammann, Thomas Berkemeier, Ulrich Pöschl, Manabu Shiraiwa.
DOI: 10.5281/zenodo.10617129
title: The Fasciola Cinereum of the Hippocampal Tail as an Interventional Target in Epilepsy

description: Analysis scripts and underlying preclinical data used to produce figures in our study entitled "The Fasciola Cinereum of the Hippocampal Tail as an Interventional Target in Epilepsy", in Nature Medicine. The listed project leaders can be contacted with any questions.
DOI: 10.5281/zenodo.10617130
title: The Fasciola Cinereum of the Hippocampal Tail as an Interventional Target in Epilepsy

description: Analysis scripts and underlying preclinical data used to produce figures in our study entitled "The Fasciola Cinereum of the Hippocampal Tail as an Interventional Target in Epilepsy", in Nature Medicine. The listed project leaders can be contacted with any questions.
DOI: 10.6084/m9.figshare.22605151.v1
title: Additional file 2 of A novel promising diagnosis model for colorectal advanced adenoma and carcinoma based on the progressive gut microbiota gene biomarkers

description: Additional file 2: Table S1 The clinical data for the samples in discovery cohort 1 and discovery cohort 2. Table S2 Clinical data and group information for the 616 samples downloaded from Shinichi Yachida et al. (616 metagenome samples). Table S3 The statistics of data in discovery cohort 1 and discovery cohort 2. Table S4 The species biomarkers enriched in advanced adenoma group or normal control group (differential analysis between advanced adenoma patients and normal controls) in discovery cohort 1. Table S5 The progressive disease genus markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S6 The progressive disease species markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S7 The progressive disease gene markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S8 The key parameters for Adenoma Effect Index 1 (AEI1), Adenoma Effect Index 2 (AEI2), CRC Effect Index 1 (CEI1) and CRC Effect Index 2 (CEI2). Table S9 The abundance profiling of the progressive disease gene markers in discovery cohort 1 and discovery cohort 2. Table S10 The cutoff, sensitivity and specificity of score1 and score2.
DOI: 10.5281/zenodo.10630487
title: Dataset related to article: Progressive myoclonus epilepsies due to SEMA6B mutations. New variants and appraisal of published phenotypes.

description: Genetic Analysis
DOI: 10.5281/zenodo.10630488
title: Dataset related to article: Progressive myoclonus epilepsies due to SEMA6B mutations. New variants and appraisal of published phenotypes.

description: Genetic Analysis
DOI: 10.5281/zenodo.10630596
title: hephaestus_fuliginosus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10630597
title: hephaestus_fuliginosus_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.6084/m9.figshare.22605151
title: Additional file 2 of A novel promising diagnosis model for colorectal advanced adenoma and carcinoma based on the progressive gut microbiota gene biomarkers

description: Additional file 2: Table S1 The clinical data for the samples in discovery cohort 1 and discovery cohort 2. Table S2 Clinical data and group information for the 616 samples downloaded from Shinichi Yachida et al. (616 metagenome samples). Table S3 The statistics of data in discovery cohort 1 and discovery cohort 2. Table S4 The species biomarkers enriched in advanced adenoma group or normal control group (differential analysis between advanced adenoma patients and normal controls) in discovery cohort 1. Table S5 The progressive disease genus markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S6 The progressive disease species markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S7 The progressive disease gene markers for advanced adenoma and colorectal cancer in gut microbiome in discovery cohort 1 and discovery cohort 2. Table S8 The key parameters for Adenoma Effect Index 1 (AEI1), Adenoma Effect Index 2 (AEI2), CRC Effect Index 1 (CEI1) and CRC Effect Index 2 (CEI2). Table S9 The abundance profiling of the progressive disease gene markers in discovery cohort 1 and discovery cohort 2. Table S10 The cutoff, sensitivity and specificity of score1 and score2.
DOI: 10.6084/m9.figshare.22605457
title: Additional file 1 of Spatiotemporal evolution of the clear cell renal cell carcinoma microenvironment links intra-tumoral heterogeneity to immune escape

description: Additional file1 Supplementary Tables: Cohort characteristics, gene signature scores, ITH classification and histopathology review results
DOI: 10.6084/m9.figshare.22605457.v1
title: Additional file 1 of Spatiotemporal evolution of the clear cell renal cell carcinoma microenvironment links intra-tumoral heterogeneity to immune escape

description: Additional file1 Supplementary Tables: Cohort characteristics, gene signature scores, ITH classification and histopathology review results
DOI: 10.6084/m9.figshare.14741137
title: Additional file 3 of Deregulation of lncRNA HIST1H2AG-6 and AIM1-3 in peripheral blood mononuclear cells is associated with newly diagnosed type 2 diabetes

description: Additional file 3. Detailed information of enriched GO terms of lnc-HIST1H2AG-6 and lnc-AIM1-3 correlated mRNAs.
DOI: 10.6084/m9.figshare.14741137.v1
title: Additional file 3 of Deregulation of lncRNA HIST1H2AG-6 and AIM1-3 in peripheral blood mononuclear cells is associated with newly diagnosed type 2 diabetes

description: Additional file 3. Detailed information of enriched GO terms of lnc-HIST1H2AG-6 and lnc-AIM1-3 correlated mRNAs.
DOI: 10.6084/m9.figshare.22605365
title: Additional file 2 of Astragalus polysaccharide prevents heart failure-induced cachexia by alleviating excessive adipose expenditure in white and brown adipose tissue

description: Additional file 2.
DOI: 10.6084/m9.figshare.22605365.v1
title: Additional file 2 of Astragalus polysaccharide prevents heart failure-induced cachexia by alleviating excessive adipose expenditure in white and brown adipose tissue

description: Additional file 2.
DOI: 10.6084/m9.figshare.22605362.v1
title: Additional file 1 of Astragalus polysaccharide prevents heart failure-induced cachexia by alleviating excessive adipose expenditure in white and brown adipose tissue

description: Additional file 1.
DOI: 10.6084/m9.figshare.12643806
title: Additional file 1 of One-step heating strategy for efficient solubilization of recombinant spider silk protein from inclusion bodies

description: Additional file 1.
DOI: 10.6084/m9.figshare.22605362
title: Additional file 1 of Astragalus polysaccharide prevents heart failure-induced cachexia by alleviating excessive adipose expenditure in white and brown adipose tissue

description: Additional file 1.
DOI: 10.5281/zenodo.10630592
title: Base de datos- BFJ

description: Base de datos utilizada para la elaboración del trabajo:

Marín-García, A., Gil-Saura, I., Ruiz-Molina, M.E. and Berenguer-Contrí, G. (2023), "Capturing consumer loyalty through technological innovation and sustainability: the moderating effect of the grocery commercial format", British Food Journal, Vol. 125 No. 8, pp. 2764-2784. https://doi.org/10.1108/BFJ-12-2021-1317
DOI: 10.5281/zenodo.10630593
title: Base de datos- BFJ

description: Base de datos utilizada para la elaboración del trabajo:

Marín-García, A., Gil-Saura, I., Ruiz-Molina, M.E. and Berenguer-Contrí, G. (2023), "Capturing consumer loyalty through technological innovation and sustainability: the moderating effect of the grocery commercial format", British Food Journal, Vol. 125 No. 8, pp. 2764-2784. https://doi.org/10.1108/BFJ-12-2021-1317
DOI: 10.6084/m9.figshare.22609477
title: Additional file 1 of A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma

description: Additional file 1: Table S1. Expressing characteristics of patients with COAD in TCGA database.
DOI: 10.6084/m9.figshare.22609480
title: Additional file 2 of A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma

description: Additional file 2: Table S2. 807 URGs.
DOI: 10.6084/m9.figshare.22605317.v1
title: Additional file 3 of Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

description: Additional file 3: Supplementary Table 2. Thirty-seven genes associated with prognosis in AML.
DOI: 10.6084/m9.figshare.22605326.v1
title: Additional file 6 of Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

description: Additional file 6: SupplementaryTable 5. Differentially expressed genes (upregulated in the high-risk group) inthe TCGA database.
DOI: 10.6084/m9.figshare.22605314
title: Additional file 2 of Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

description: Additional file 2: Supplementary Table 1. The prognostic value of fatty acid metabolism-related genes.
DOI: 10.6084/m9.figshare.22605320.v1
title: Additional file 4 of Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

description: Additional file 4: Supplemetary Table 3. The genes closely correlated with the FA score (R&gt;=0.5) in the TCGA database.
DOI: 10.6084/m9.figshare.22605323.v1
title: Additional file 5 of Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

description: Additional file 5: SupplemetaryTable 4. The genes closely correlated with the FA score (R&gt;=0.5) in the VIZOME database.
DOI: 10.6084/m9.figshare.1505335
title: Networks among journals in public policy sudies

description: Designed to be viewed in VosViewer software. Shows the relationship of fields of science to one another among journals related to policy studies.
DOI: 10.6084/m9.figshare.1505338
title: University of Portsmouth APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Portsmouth during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1505339
title: University of Warwick APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Warwick during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1512834.v132
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505334
title: Data to map fields of policy sciences

description: Designed to be viewed with VosViewer software. Shows the fields of policy sciences as they relate to one another with data over 10-years time.
DOI: 10.6084/m9.figshare.1505338.v1
title: University of Portsmouth APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Portsmouth during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1512834.v133
title: Localized Protein Quantification of Blood Brain Barrier Vasculature in Brightfield IHC Images

description: In this paper, we present an objective method for locally quantifying proteins in blood brain barrier (BBB) vasculature using standard immunohistochemistry (IHC) techniques and bright-field microscopy. Images from the hippocampal region at the BBB are acquired using bright-field microscopy and subjected to our immunohistochemistry quantification (IQ) algorithm which is designed to automatically identify and segment microvessels containing the protein glucose transporter 1 (GLUT1). Gabor filtering and k-means clustering are employed to isolate potential vascular structures within cryopsectioned slabs of the hippocampus, which are subsequently subjected to feature extraction followed by classification via decision forest. The false positive rate (FPR) of microvessel classification is characterized using synthetic and non-synthetic IHC image data for image entropies ranging between 3 and 8 bits. The average FPR for synthetic and non-synthetic IHC image data was found to be 5.48% and 5.04%, respectively.
DOI: 10.6084/m9.figshare.1505332
title: University of Surrey APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Surrey during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1505333
title: Data to map journal interrelationships in policy studies

description: Designed to be viewed with VosViewer software to see the interrelationships of journals in policy studies.
DOI: 10.6084/m9.figshare.1505334.v1
title: Data to map fields of policy sciences

description: Designed to be viewed with VosViewer software. Shows the fields of policy sciences as they relate to one another with data over 10-years time.
DOI: 10.6084/m9.figshare.1505308
title: University of Huddersfield APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Huddersfield during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).
DOI: 10.6084/m9.figshare.1505332.v1
title: University of Surrey APCs 2015 (Jan-June)

description: This spreadsheet contains details of article processing charges (APCs) paid by the University of Surrey during the first half of 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).