cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14936548
title: Additional file 1 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 1: Table S1. Patient characteristics and sample information.
DOI: 10.6084/m9.figshare.14936551.v1
title: Additional file 2 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 2: Table S2. Single-cell RNA sequencing metrics and quality control indicators for each sample, major cell type and subcluster.
DOI: 10.6084/m9.figshare.14936548.v1
title: Additional file 1 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 1: Table S1. Patient characteristics and sample information.
DOI: 10.6084/m9.figshare.14936557
title: Additional file 4 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 4: Table S3. List of marker genes used for major cell type classification with Entrez Gene and PMID.
DOI: 10.6084/m9.figshare.14936557.v1
title: Additional file 4 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 4: Table S3. List of marker genes used for major cell type classification with Entrez Gene and PMID.
DOI: 10.6084/m9.figshare.14936560
title: Additional file 5 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 5: Table S4. Normalised mutual information for clustering of major cell types and cell subclusters.
DOI: 10.6084/m9.figshare.14936566.v1
title: Additional file 7 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 7: Table S5. Functional annotation of the identified subclusters based on transcriptomic profiles provided by the pan-cancer blueprint.
DOI: 10.6084/m9.figshare.14936560.v1
title: Additional file 5 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 5: Table S4. Normalised mutual information for clustering of major cell types and cell subclusters.
DOI: 10.6084/m9.figshare.14936566
title: Additional file 7 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 7: Table S5. Functional annotation of the identified subclusters based on transcriptomic profiles provided by the pan-cancer blueprint.
DOI: 10.6084/m9.figshare.14936572
title: Additional file 9 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 9: Table S7. Comparative analysis of subtype annotation on mutual patients in this study and Qian et al.
DOI: 10.6084/m9.figshare.14936569
title: Additional file 8 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 8: Table S6. Differential gene expression analysis and functional annotation of the 11 cancer and 32 stromal subclusters.
DOI: 10.6084/m9.figshare.14936569.v1
title: Additional file 8 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 8: Table S6. Differential gene expression analysis and functional annotation of the 11 cancer and 32 stromal subclusters.
DOI: 10.6084/m9.figshare.14936572.v1
title: Additional file 9 of High-grade serous tubo-ovarian cancer refined with single-cell RNA sequencing: specific cell subtypes influence survival and determine molecular subtype classification

description: Additional file 9: Table S7. Comparative analysis of subtype annotation on mutual patients in this study and Qian et al.
DOI: 10.6084/m9.figshare.14936623
title: Additional file 2 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 2. Clinical and pathological findings in for all mares included in the current study.
DOI: 10.6084/m9.figshare.14936623.v1
title: Additional file 2 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 2. Clinical and pathological findings in for all mares included in the current study.
DOI: 10.6084/m9.figshare.14936637
title: Additional file 1 of REAPing the benefits: development and use of a structured evaluation framework to codify learning resources for Global Health professionals

description: Additional file 1.
DOI: 10.6084/m9.figshare.14936637.v1
title: Additional file 1 of REAPing the benefits: development and use of a structured evaluation framework to codify learning resources for Global Health professionals

description: Additional file 1.
DOI: 10.6084/m9.figshare.14936626
title: Additional file 3 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 3. Read counts and mapping quality of Illumina RNA-sequencing dataset from equine chorioallantois (CA) retrieved from CRL, NPL, and NPN. Key; CRL; normal postpartum (control), NPL; nocardioform placentitis lesion, and NPN; nocardioform placentitis normal region.
DOI: 10.6084/m9.figshare.14936626.v1
title: Additional file 3 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 3. Read counts and mapping quality of Illumina RNA-sequencing dataset from equine chorioallantois (CA) retrieved from CRL, NPL, and NPN. Key; CRL; normal postpartum (control), NPL; nocardioform placentitis lesion, and NPN; nocardioform placentitis normal region.
DOI: 10.6084/m9.figshare.14936629
title: Additional file 4 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 4. Differentially expressed genes (DEGs) in equine chorioallantois during nocardioform placentitis (NPL vs. CRL and NPL vs. NPN sets). Key; CRL; normal postpartum (control), NPL; nocardioform placentitis lesion, and NPN; nocardioform placentitis normal region.
DOI: 10.6084/m9.figshare.14936629.v1
title: Additional file 4 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 4. Differentially expressed genes (DEGs) in equine chorioallantois during nocardioform placentitis (NPL vs. CRL and NPL vs. NPN sets). Key; CRL; normal postpartum (control), NPL; nocardioform placentitis lesion, and NPN; nocardioform placentitis normal region.
DOI: 10.6084/m9.figshare.14936632
title: Additional file 5 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 5. Potential upstream regulators in equine chorioallantois (CA) during nocardioform placentitis (NP) as identified by upstream regulator analysis performed on Ingenuity Pathway Analysis (IPA) using DEGS in NPL vs. CRL set (A) and DEGS in NPL vs. NPN set (B). Key; CRL; normal postpartum (control) and NPL; nocardioform placentitis lesion.
DOI: 10.6084/m9.figshare.14936632.v1
title: Additional file 5 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 5. Potential upstream regulators in equine chorioallantois (CA) during nocardioform placentitis (NP) as identified by upstream regulator analysis performed on Ingenuity Pathway Analysis (IPA) using DEGS in NPL vs. CRL set (A) and DEGS in NPL vs. NPN set (B). Key; CRL; normal postpartum (control) and NPL; nocardioform placentitis lesion.
DOI: 10.6084/m9.figshare.14936635
title: Additional file 6 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 6. Weighted gene expression co-expression network analysis (WGCNA) of DEGs in equine chorioallantois (CA) during nocardioform placentitis dataset. A) DEGs and corresponding module (cluster) as generated by WGCNA. B) Intramodular hub genes in the turquoise module.
DOI: 10.6084/m9.figshare.14936635.v1
title: Additional file 6 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 6. Weighted gene expression co-expression network analysis (WGCNA) of DEGs in equine chorioallantois (CA) during nocardioform placentitis dataset. A) DEGs and corresponding module (cluster) as generated by WGCNA. B) Intramodular hub genes in the turquoise module.
DOI: 10.6084/m9.figshare.14936638
title: Additional file 7 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 7. List of predicted ligand and receptor pairs and their expression patterns in equine chorioallantois (CA) during nocardioform placentitis dataset.
DOI: 10.6084/m9.figshare.14936638.v1
title: Additional file 7 of Transcriptomic analysis of equine chorioallantois reveals immune networks and molecular mechanisms involved in nocardioform placentitis

description: Additional file 7. List of predicted ligand and receptor pairs and their expression patterns in equine chorioallantois (CA) during nocardioform placentitis dataset.
DOI: 10.5281/zenodo.5083938
title: Table S1

description: This table is the experiment results for topaz up to 13 GPa at room temperature
DOI: 10.5281/zenodo.5083937
title: Table S1

description: This table is the experiment results for topaz up to 13 GPa at room temperature
DOI: 10.5281/zenodo.5083889
title: The ECS-FVCOM results and also the input variables of FMGDM, the initial particles, satellite pictures, and trajectories data

description: The data for the manuscript: A Lagrangian-based Floating Macro<br> -algal Growth and Drift Model (FMGDM v1.0): application to the Yellow Sea green tides. <br> -----------------------------------------------------------------------------<br> Updata: 2021/03/18 -----------------------------------------------------------------------------<br> Part 1: The ECS-FVCOM results and also the input variables of FMGDM<br> Part 2: The initial particles position imformation (lat, lon, depth)<br> Part 3: The satellite pictures of green tides in YS, 2014 and 2015 Part 4: Drifters trajectories dataset (lat, lon)
DOI: 10.5281/zenodo.5083781
title: Solving Constraint Horn Clauses Modulo Algebraic Data Types and Recursive Functions

description: This repository contains the benchmark instances used for the evaluation of a new CHC solving algorithm. There are 4 folders: leon-original. Contains original benchmarks generated by Leon leon-with-rdf. leon-original benchmarks modified by adding RDFs rust-horn-original. Contains original benchmarks generated by RustHorn rust-horn-with-rdf. rust-horn-original benchmarks modified by adding RDFs The publisher is named anonymous to respect double blind review process
DOI: 10.5281/zenodo.5083780
title: Solving Constraint Horn Clauses Modulo Algebraic Data Types and Recursive Functions

description: This repository contains the benchmark instances used for the evaluation of a new CHC solving algorithm. There are 4 folders: leon-original. Contains original benchmarks generated by Leon leon-with-rdf. leon-original benchmarks modified by adding RDFs rust-horn-original. Contains original benchmarks generated by RustHorn rust-horn-with-rdf. rust-horn-original benchmarks modified by adding RDFs The publisher is named anonymous to respect double blind review process
DOI: 10.5281/zenodo.5068754
title: Datasets for "Quantifying nanodiamonds biodistribution in whole cells with correlative iono-nanoscopy"

description: <strong>Readme:</strong> These are datasets that were generated during experiments, simulations, and data processing. <strong>[1]</strong> Data saved in .xlsx files are data points for plots and can be opened with Microsoft Excel. <strong>[2]</strong> Data saved in .txt files are image files recorded in 1024 x 1024 pixel arrays. A custom software IonDAQ-lite (ref: Bettiol, A. A. et al. Nucl. Instrum. Methods Phys. Res. B 267, 2069-2072, 2009) was used to open and process these image files, however some commonly used image processing programs (e.g. Matlab) can also be used to open these files. <strong>[3]</strong> The .lsm and .czi files are 2D or 3D confocal image files and can be viewed with ZEN 3.4 (ZEN lite, Carl Zeiss).
DOI: 10.5281/zenodo.5068753
title: Datasets for "Quantifying nanodiamonds biodistribution in whole cells with correlative iono-nanoscopy"

description: <strong>Readme:</strong> These are datasets that were generated during experiments, simulations, and data processing. <strong>[1]</strong> Data saved in .xlsx files are data points for plots and can be opened with Microsoft Excel. <strong>[2]</strong> Data saved in .txt files are image files recorded in 1024 x 1024 pixel arrays. A custom software IonDAQ-lite (ref: Bettiol, A. A. et al. Nucl. Instrum. Methods Phys. Res. B 267, 2069-2072, 2009) was used to open and process these image files, however some commonly used image processing programs (e.g. Matlab) can also be used to open these files. <strong>[3]</strong> The .lsm and .czi files are 2D or 3D confocal image files and can be viewed with ZEN 3.4 (ZEN lite, Carl Zeiss).
DOI: 10.25919/c9cs-b885
title: Recombination in Australian rabbit caliciviruses

description: In this study we monitored the epidemiological and evolutionary dynamics of existing lagovirus variants in Australia, while determining the frequency and importance of successful recombination events between these viruses.
DOI: 10.6084/m9.figshare.14829225.v4
title: Salmonella Newport data for Jove paper

description: ProkEvo-associated hierarchical-based analysis of bacterial populations using R
DOI: 10.25919/sv4n-m282
title: A model lava approach to metamorphism and alteration of flood basalts in the Archaean Maddina Formation, metamorphic Zone 1, Fortescue Group, Pilbara region, Western Australia.

description: The project focussed on low-grade metamorphism and hydrothermal alteration of mafic lava flows in the Maddina Formation of the Archaean Fortescue Group in the Hamersley Basin (as originally defined), Pilbara region of Western Australia. The study follows on from that of White et al., 2014a and 2014b, as well as legacy data of R E Smith from 1973 on. It focused on metamorphic Zone 1 of Smith et al., 1982. Emphasis was on authigenic mineral growth due to prehnite-pumpellyite grade metamorphism and the impact of associated metasomatism described by these authors.
DOI: 10.5281/zenodo.2537988
title: ThermoCodegen Fo-Fa ideal binary Database

description: ThermoCodegen v0.6.7 generated database for the Forsterite-Fayalite ideal binary system This system has two phases Olivine Liquid each of which is a ideal solution of a Forsteritic and Fayalitic endmember. Endmembers for Olivine are: Forsterite_berman Fayalite_berman based on the thermodynamic models of Berman, 1988 Endmembers for the Liquid are Forsterite_xmelts Fayalite_xmelts based on the xMelts thermodynamic models of Ghiorso et al.,
DOI: 10.5281/zenodo.2537987
title: ThermoCodegen Fo-Fa ideal binary Database

description: ThermoCodegen v0.6.7 generated database for the Forsterite-Fayalite ideal binary system This system has two phases Olivine Liquid each of which is a ideal solution of a Forsteritic and Fayalitic endmember. Endmembers for Olivine are: Forsterite_berman Fayalite_berman based on the thermodynamic models of Berman, 1988 Endmembers for the Liquid are Forsterite_xmelts Fayalite_xmelts based on the xMelts thermodynamic models of Ghiorso et al.,
DOI: 10.5281/zenodo.4837819
title: ThermoCodegen/MgFeSi204_Stixrude Database

description: ThermoCodegen generated database for a subset of endmembers and phases in the MgFeSi204 system based on Models from Stixrude and Berthelloni (2011). Endmembers include: Forsterite Fayalite MgWadsleyite FeWadsleyite MgRingwoodite FeRingwoodite MgPerovskite FePerovskite Periclase Wuestite Pure Phases: Just the Phase interface for all of the above endmembers MgFe Solid Solution Phases: Olivine Wadsleyite Ringwoodite
DOI: 10.5281/zenodo.4837818
title: ThermoCodegen/MgFeSi204_Stixrude Database

description: ThermoCodegen generated database for a subset of endmembers and phases in the MgFeSi204 system based on Models from Stixrude and Berthelloni (2011). Endmembers include: Forsterite Fayalite MgWadsleyite FeWadsleyite MgRingwoodite FeRingwoodite MgPerovskite FePerovskite Periclase Wuestite Pure Phases: Just the Phase interface for all of the above endmembers MgFe Solid Solution Phases: Olivine Wadsleyite Ringwoodite
DOI: 10.5281/zenodo.5083997
title: Data for "Deep learning-based model for diagnosing Alzheimer's disease and tauopathies"

description: Image datasets and tuned models used in the paper (Koga et al., 2021). Data.zip contains image and text files for training models. Test.zip contains 12 images from 4 patients, which are a part of the hold-out dataset images used in the paper. There are 9 CSV files, which contain the results of tau burden quantification. Python code is available at GitHub (https://github.com/Koga-MD/DL-Tauopathies).
DOI: 10.5281/zenodo.5082080
title: Data for "Deep learning-based model for diagnosing Alzheimer's disease and tauopathies"

description: Image datasets and tuned models used in the paper (Koga et al., 2021). Data.zip contains image and text files for training models. Test.zip contains 12 images from 4 patients, which are a part of the hold-out dataset images used in the paper. There are 9 CSV files, which contain the results of tau burden quantification. Python code is available at GitHub (https://github.com/Koga-MD/DL-Tauopathies).
DOI: 10.5281/zenodo.4978644
title: Data for 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments'

description: This is the Data for the article entitled 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments' submitted to 'Journal of Plant Research' https://doi.org/10.1007/s10265-021-01327-y Traits' names are listed below: Leaf length (LL), Leaf width (LW), Specific leaf area (SLA), Stomatal density (SD), Leaf thickness (LT), Relative frequency of cavities formed by the collapsed fusoid cells (CFC), Leaf chlorophyll content per unit area ([Chl]area), Ratio of chlorophyll a to chlorophyll b (Chl a/b), Leaf nitrogen content per unit area ([N]area), Leaf stable carbon isotope ratio (δ13C), Photosynthetic photon flux density (PPFD), Actual quantum yield of PSII electron transport (ΦPSII), Electron transport rate (ETR), Light-saturated photosynthetic rate (Asat), Stomatal conductance (gs), Dark respiration rate (Rd), Apparent quantum yield (AQY), The ratio of intercellular to ambient CO2 concentration (Ci/Ca), Photosynthetic water use efficiency (WUE)
DOI: 10.5281/zenodo.4970723
title: Data for 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments'

description: This is the Data for the article entitled 'Phenotypic plasticity and genetic variation in leaf traits of Yushania niitakayamensis (Bambusoideae; Poaceae) in contrasting light environments' submitted to 'Journal of Plant Research' https://doi.org/10.1007/s10265-021-01327-y Traits' names are listed below: Leaf length (LL), Leaf width (LW), Specific leaf area (SLA), Stomatal density (SD), Leaf thickness (LT), Relative frequency of cavities formed by the collapsed fusoid cells (CFC), Leaf chlorophyll content per unit area ([Chl]area), Ratio of chlorophyll a to chlorophyll b (Chl a/b), Leaf nitrogen content per unit area ([N]area), Leaf stable carbon isotope ratio (δ13C), Photosynthetic photon flux density (PPFD), Actual quantum yield of PSII electron transport (ΦPSII), Electron transport rate (ETR), Light-saturated photosynthetic rate (Asat), Stomatal conductance (gs), Dark respiration rate (Rd), Apparent quantum yield (AQY), The ratio of intercellular to ambient CO2 concentration (Ci/Ca), Photosynthetic water use efficiency (WUE)
DOI: 10.5517/ccdc.csd.cc27nw93
title: CCDC 2075645: Experimental Crystal Structure Determination

description: Related Article: Jin-Fay Tan, Carl Thomas Bormann, Kay Severin, Nicolai Cramer|2021|Chemical Science|12|9140|doi:10.1039/D1SC02583J
DOI: 10.5517/ccdc.csd.cc27nwb4
title: CCDC 2075646: Experimental Crystal Structure Determination

description: Related Article: Jin-Fay Tan, Carl Thomas Bormann, Kay Severin, Nicolai Cramer|2021|Chemical Science|12|9140|doi:10.1039/D1SC02583J
DOI: 10.5517/ccdc.csd.cc27p177
title: CCDC 2075798: Experimental Crystal Structure Determination

description: Related Article: Feng Zhao, Ting Sun, Yu Wang, Wenjun Yang, Yong Zhan|2021|Dyes Pigm.|194|109542|doi:10.1016/j.dyepig.2021.109542
DOI: 10.5517/ccdc.csd.cc27p188
title: CCDC 2075799: Experimental Crystal Structure Determination

description: Related Article: Feng Zhao, Ting Sun, Yu Wang, Wenjun Yang, Yong Zhan|2021|Dyes Pigm.|194|109542|doi:10.1016/j.dyepig.2021.109542
DOI: 10.5517/ccdc.csd.cc26rxnk
title: CCDC 2048779: Experimental Crystal Structure Determination

description: Related Article: Michał Magott, Bartłomiej Gaweł, Marcin Sarewicz, Mateusz Reczyński, Karolina Ogorzały, Wacław Makowski, Dawid Pinkowicz|2021|Chemical Science|12|9176|doi:10.1039/D1SC02060A
DOI: 10.5517/ccdc.csd.cc26rxpl
title: CCDC 2048780: Experimental Crystal Structure Determination

description: Related Article: Michał Magott, Bartłomiej Gaweł, Marcin Sarewicz, Mateusz Reczyński, Karolina Ogorzały, Wacław Makowski, Dawid Pinkowicz|2021|Chemical Science|12|9176|doi:10.1039/D1SC02060A
DOI: 10.5517/ccdc.csd.cc26rxqm
title: CCDC 2048781: Experimental Crystal Structure Determination

description: Related Article: Michał Magott, Bartłomiej Gaweł, Marcin Sarewicz, Mateusz Reczyński, Karolina Ogorzały, Wacław Makowski, Dawid Pinkowicz|2021|Chemical Science|12|9176|doi:10.1039/D1SC02060A
DOI: 10.5517/ccdc.csd.cc27pkxf
title: CCDC 2076315: Experimental Crystal Structure Determination

description: Related Article: Dillon W. P. Tay, James D. Nobbs, Srinivasulu Aitipamula, George J. P. Britovsek, Martin van Meurs|2021|Organometallics|40|1914|doi:10.1021/acs.organomet.1c00228
DOI: 10.5517/ccdc.csd.cc27pkyg
title: CCDC 2076316: Experimental Crystal Structure Determination

description: Related Article: Dillon W. P. Tay, James D. Nobbs, Srinivasulu Aitipamula, George J. P. Britovsek, Martin van Meurs|2021|Organometallics|40|1914|doi:10.1021/acs.organomet.1c00228
DOI: 10.5517/ccdc.csd.cc26w62d
title: CCDC 2051923: Experimental Crystal Structure Determination

description: Related Article: Sushil Ranjan Bhatta, Manisha Karmakar, Arunabha Thakur|2021|J.Organomet.Chem.|949|121958|doi:10.1016/j.jorganchem.2021.121958