cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26186/147293
title: Linked Data ASGS Datasets with API

description: A set of Australian Statistical Geography Standard (ASGS) datasets along with related data - built as Linked-Data RDF triples and provided with a modern API. The custodian of these datasets is the Australian Bureau of Statistics (ABS). Published by Geoscience Australia (GA). These feature collections are included in this database as of October 2022: ● ASGS 2016 ● ASGS 2021 ● Australian Drainage Divisions ● Commonwealth Electoral Divisions 2021 ● Destinations Zones ● Greater Capital City Statistical Areas ● Indigenous Locations ● Indigenous Areas ● Indigenous Regions ● Local Government Areas 2021 ● Local Government Areas 2022 ● ASGS Mesh Blocks ● Postal Areas ● State Electoral Divisions 2021 ● State Electoral Divisions 2022 ● State and Territories ● Statistical Areas Level 1 ● Statistical Areas Level 2 ● Statistical Areas Level 3 ● Statistical Areas Level 4 ● Suburbs and Localities ● Tourism RegionsThis data and the associated API sits alongside other Geoscience RDF databases and their APIs. The API supplies mapped detail of each individual feature along with metadata, geometry, alternate views and profiles. RDF provides a standardized schema for use with any other dataset based on RDF Triples. The API is human readable and machine readable. Machine readability allows web based APIs and dashboards to consume the data in a number of standardized formats - to value add and build specialized tools for a great variety of uses, including emergency use dashboards and higher level APIs.<br>The API conforms with the OGS LD API and is built on VocPrez and SpacePrez technology.
DOI: 10.26186/147277
title: FSDF Linked Data Suite and API

description: A set of Foundation Spatial Data Framework (FSDF) datasets built as Linked-Data RDF triples. Includes Electrical Infrastructure, Emergency Facilities, and Placenames. (Sits alongside other Geoscience RDF data bases and their APIs). An API built over this RDF database supplies mapped detail of each individual feature along with metadata, geometry, alternate views and profiles. RDF provides a standardized schema for use with any other datasets based on RDF Triples. The API is human readable and machine readable. Machine readability allows web based APIs and dashboards to consume the data in a number of standardized formats, to value add and build specialized tools for a great variety of uses, including emergency use dashboards and higher level APIs.<br>The API conforms with the OGC LA API standard and uses VocPrez and SpacePrez technology.
DOI: 10.5281/zenodo.7272914
title: Datasets_01

description: The data that support the findings of the article "A hybrid fluid master-apprentice evolutionary algorithm for large-scale multiplicity flexible job shop scheduling with sequence-dependent setup time".
DOI: 10.5281/zenodo.7272913
title: Datasets_01

description: The data that support the findings of the article "A hybrid fluid master-apprentice evolutionary algorithm for large-scale multiplicity flexible job shop scheduling with sequence-dependent setup time".
DOI: 10.6084/m9.figshare.21455838
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: The qRT-PCR results of three key genes
DOI: 10.6084/m9.figshare.21455838.v1
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: The qRT-PCR results of three key genes
DOI: 10.6084/m9.figshare.21455844
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: Supplementary Material
DOI: 10.6084/m9.figshare.21455844.v1
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: Supplementary Material
DOI: 10.5281/zenodo.7272980
title: MRSA RAST annotation information

description: RAST annotation information for MRSA strains M080_2017, M106_2017, M181_2017, and M191_2017. Full author list: Mia Yang Ang, Nurul Amirah binti Mohamad Farook, Norhidayah Kamarudin, Su Datt Lam, Sabrina Di Gregorio, Tengku Zetty Maztura Binti Tengku Jamaluddin, Sheila Nathan, Muttaqillah Najihan Abdul Samat, Silvia Argimón and Hui-min Neoh.
DOI: 10.5281/zenodo.7272979
title: MRSA RAST annotation information

description: RAST annotation information for MRSA strains M080_2017, M106_2017, M181_2017, and M191_2017. Full author list: Mia Yang Ang, Nurul Amirah binti Mohamad Farook, Norhidayah Kamarudin, Su Datt Lam, Sabrina Di Gregorio, Tengku Zetty Maztura Binti Tengku Jamaluddin, Sheila Nathan, Muttaqillah Najihan Abdul Samat, Silvia Argimón and Hui-min Neoh.
DOI: 10.6084/m9.figshare.21455847
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: Transcriptome sequencing
DOI: 10.6084/m9.figshare.21455847.v1
title: Identification of Ferroptosis-Related Genes in Male Mice with Sepsis-induced Acute Lung Injury using Bioinformatic Analysis

description: Transcriptome sequencing
DOI: 10.5281/zenodo.7265571
title: Simulations of the NGC-5466 tidal stream in a Galactic-like potential, with and without dwarf galaxies included

description: A mock stream of NGC-5466 simulated with the particle-spray code `galpy.df.streamspraydf`, which is an implementation of the Fardal et al 2015 mock stream generation method. The current position and velocity of the progenitor globular cluster is from Vasiliev et al 2019. The progenitor's orbit is back-integrated 5 Gyr in a `galpy.potential.MWPotential2014` potential then forward integrated, forming the tidal tails. The file with the name 'dwarfgalaxy' includes the effects of dwarf galaxies on the stream. For more information see (and cite) https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E.
description: The included files have been modified by Nathaniel Starkman (ORCID: 0000-0003-3954-3291) to be in an ECSV format.
description: {"references": ["https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E/abstract"]}
DOI: 10.5281/zenodo.7265570
title: Simulations of the NGC-5466 tidal stream in a Galactic-like potential, with and without dwarf galaxies included

description: A mock stream of NGC-5466 simulated with the particle-spray code `galpy.df.streamspraydf`, which is an implementation of the Fardal et al 2015 mock stream generation method. The current position and velocity of the progenitor globular cluster is from Vasiliev et al 2019. The progenitor's orbit is back-integrated 5 Gyr in a `galpy.potential.MWPotential2014` potential then forward integrated, forming the tidal tails. The file with the name 'dwarfgalaxy' includes the effects of dwarf galaxies on the stream. For more information see (and cite) https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E.
description: The included files have been modified by Nathaniel Starkman (ORCID: 0000-0003-3954-3291) to be in an ECSV format.
description: {"references": ["https://ui.adsabs.harvard.edu/abs/2022MNRAS.510.2437E/abstract"]}
DOI: 10.57770/qlfsfi
title: Enhanced Nitrate-to-Ammonia Activity on Copper–Nickel Alloys via Tuning of Intermediate Adsorption

description: The Supporting Information of Enhanced Nitrate-to-Ammonia Activity on Copper–Nickel Alloys via Tuning of Intermediate Adsorption.
DOI: 10.57770/zwu7u8
title: Molecular tuning of CO2-to-ethylene conversion

description: The Supplementary information of Molecular tuning of CO2-to-ethylene conversion.
DOI: 10.57770/yfvbsq
title: Accelerated discovery of CO2 electrocatalysts using active machine learning

description: The Supplementary information of Accelerated discovery of CO2 electrocatalysts using active machine learning.
DOI: 10.5281/zenodo.7273032
title: Palomar 5 N-Body Simulation

description: Please cite https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.4978S Contained is an ECSV file of an N-body simulation, using the the direct N-body code NBODY6 (Aarseth 2006) to simulate the evolution of a Palomar 5-like globular cluster. The initial cluster is taken to be a Plummer model consisting of 100,000 stars and has a half-mast radius of 10 pc. Stellar masses follow a Kroupa initial mass function with the minimum and maximum stellar mass set to 0.1 and 50 solar masses respectively. Single stars evolve using the stellar evolution prescription of Hurley 2000 assuming a metallicity of Z=0.001 while binary stars, in the event that binaries form, follow Hurley 2002. The properties of the external tidal field were set to reflect MWPotential2014, from Bovy 2015, and is a good approximation of the Galactic potential (Bovy 2016). The specific linear combination of potentials is a spherical potential from a power-law density with an exponential cut-off Galactic bulge, an NFW dark matter halo, and a Miyamoto-Nagai disc. The model cluster was evolved for 12 Gyr with an initial position and velocity that resulted in it being located at the present day location of Palomar 5 at the end of the simulation. The final mass and mass function of the model cluster are comparable to the observed properties of Palomar 5, but the model cluster is too compact relative to Palomar 5, which is in the process of dissolving.
DOI: 10.5281/zenodo.7273031
title: Palomar 5 N-Body Simulation

description: Please cite https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.4978S Contained is an ECSV file of an N-body simulation, using the the direct N-body code NBODY6 (Aarseth 2006) to simulate the evolution of a Palomar 5-like globular cluster. The initial cluster is taken to be a Plummer model consisting of 100,000 stars and has a half-mast radius of 10 pc. Stellar masses follow a Kroupa initial mass function with the minimum and maximum stellar mass set to 0.1 and 50 solar masses respectively. Single stars evolve using the stellar evolution prescription of Hurley 2000 assuming a metallicity of Z=0.001 while binary stars, in the event that binaries form, follow Hurley 2002. The properties of the external tidal field were set to reflect MWPotential2014, from Bovy 2015, and is a good approximation of the Galactic potential (Bovy 2016). The specific linear combination of potentials is a spherical potential from a power-law density with an exponential cut-off Galactic bulge, an NFW dark matter halo, and a Miyamoto-Nagai disc. The model cluster was evolved for 12 Gyr with an initial position and velocity that resulted in it being located at the present day location of Palomar 5 at the end of the simulation. The final mass and mass function of the model cluster are comparable to the observed properties of Palomar 5, but the model cluster is too compact relative to Palomar 5, which is in the process of dissolving.
DOI: 10.5517/ccdc.csd.cc20l1l8
title: CCDC 1864389: Experimental Crystal Structure Determination

description: Related Article: Thomas W. Price, Isaline Renard, Timothy J. Prior, Vojtěch Kubíček, David M. Benoit, Stephen J. Archibald, Anne-Marie Seymour, Petr Hermann, Graeme J. Stasiuk|2022|Inorg.Chem.|61|17059|doi:10.1021/acs.inorgchem.2c01992
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5519/qd.xgbgcmf5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (182 records)
DOI: 10.5517/ccdc.csd.cc29c742
title: CCDC 2125953: Experimental Crystal Structure Determination

description: Related Article: Thomas W. Price, Isaline Renard, Timothy J. Prior, Vojtěch Kubíček, David M. Benoit, Stephen J. Archibald, Anne-Marie Seymour, Petr Hermann, Graeme J. Stasiuk|2022|Inorg.Chem.|61|17059|doi:10.1021/acs.inorgchem.2c01992
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21455935
title: Additional file 1 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 1: List of all 642 proteins detected by mass spectrometry in EV-enriched samples from A. pullulans.
DOI: 10.6084/m9.figshare.21455935.v1
title: Additional file 1 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 1: List of all 642 proteins detected by mass spectrometry in EV-enriched samples from A. pullulans.
DOI: 10.6084/m9.figshare.21455938
title: Additional file 2 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 2: The GO terms overrepresented and underrepresented in A. pullulans EVs proteins in Molecular Function, and Biological Process.
DOI: 10.6084/m9.figshare.21455938.v1
title: Additional file 2 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 2: The GO terms overrepresented and underrepresented in A. pullulans EVs proteins in Molecular Function, and Biological Process.
DOI: 10.6084/m9.figshare.21455941.v1
title: Additional file 3 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 3: The information of mil-RNAs apu-miR-1 and apu-miR-2 by miRDeep2.
DOI: 10.6084/m9.figshare.21455941
title: Additional file 3 of Isolation and characterization of extracellular vesicles from biotechnologically important fungus Aureobasidium pullulans

description: Additional file 3: The information of mil-RNAs apu-miR-1 and apu-miR-2 by miRDeep2.
DOI: 10.6084/m9.figshare.21455954.v1
title: Additional file 1 of Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk

description: Additional file 1: Table S1. Genome-wide significant independent SNPs for Body Mass Index in women (Pulit 2018). Table S2. Genome-wide significant independent SNPs for Years Ovulating (Hg19). Table S3. Genome-wide significant independent SNPs for age at menarche downloaded from the ReproGen Consortium Website (Perry et al., 2014; Hg19). Table S4. Genome-wide significant independent SNPs for age at menopause downloaded from the ReproGen Consortium Website (Hg19; Day et al., 2015). Table S5. Genome-wide significant independent SNPs for number of live births extracted from Warrington et al., 2021 (Hg19). TableS6. Genome-wide significant independent SNPs for age at last live birth (Hg19). Table S7. Genome-wide significant independent SNPs for Endometrial Cancer used in the bidirectional MR analyses (Hg19). Table S8. Overview of SNPs and possible pleiotropic effects (Hg19). The direction of the association with other traits in PhenoScanner (i.e. positive (+) or negative(-)) is indicated. Table S9. Basic characteristics of the study participants in UK Biobank. Table S10. Results from the multivariate observational analyses of reproductive risk factors and endometrial cancer risk. Table S11. Results from the multivariate observational analyses of number of live births and other reproductive risk factors on endometrial cancer risk. Table S12. Heterogeneity and Directional Pleiotropy tests from MR analysis of female fertility and risk of endometrial cancer. Table S13. Univariate Mendelian randomization results with only the SNPs included in the primary multivariable MR. Table S14. Results from two Multivariable Mendelian Randomization analyses including the exposures A) BMI, age at menarche, age at menopause and number of live births; and B) BMI, age at menarche, years ovulating and number of live births. Table S15. Overview of all SNPs (Hg19) and their association with the different traits included in the multivariable MR analysis. Table S16. Results from the Multivariable Mendelian Randomization analysis including the exposures age at menarche, age at menopause, years ovulating, number of live births and age at last live birth. Table S17. MR analysis of liability to endometrial cancer on number of live births.
DOI: 10.6084/m9.figshare.21455954
title: Additional file 1 of Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk

description: Additional file 1: Table S1. Genome-wide significant independent SNPs for Body Mass Index in women (Pulit 2018). Table S2. Genome-wide significant independent SNPs for Years Ovulating (Hg19). Table S3. Genome-wide significant independent SNPs for age at menarche downloaded from the ReproGen Consortium Website (Perry et al., 2014; Hg19). Table S4. Genome-wide significant independent SNPs for age at menopause downloaded from the ReproGen Consortium Website (Hg19; Day et al., 2015). Table S5. Genome-wide significant independent SNPs for number of live births extracted from Warrington et al., 2021 (Hg19). TableS6. Genome-wide significant independent SNPs for age at last live birth (Hg19). Table S7. Genome-wide significant independent SNPs for Endometrial Cancer used in the bidirectional MR analyses (Hg19). Table S8. Overview of SNPs and possible pleiotropic effects (Hg19). The direction of the association with other traits in PhenoScanner (i.e. positive (+) or negative(-)) is indicated. Table S9. Basic characteristics of the study participants in UK Biobank. Table S10. Results from the multivariate observational analyses of reproductive risk factors and endometrial cancer risk. Table S11. Results from the multivariate observational analyses of number of live births and other reproductive risk factors on endometrial cancer risk. Table S12. Heterogeneity and Directional Pleiotropy tests from MR analysis of female fertility and risk of endometrial cancer. Table S13. Univariate Mendelian randomization results with only the SNPs included in the primary multivariable MR. Table S14. Results from two Multivariable Mendelian Randomization analyses including the exposures A) BMI, age at menarche, age at menopause and number of live births; and B) BMI, age at menarche, years ovulating and number of live births. Table S15. Overview of all SNPs (Hg19) and their association with the different traits included in the multivariable MR analysis. Table S16. Results from the Multivariable Mendelian Randomization analysis including the exposures age at menarche, age at menopause, years ovulating, number of live births and age at last live birth. Table S17. MR analysis of liability to endometrial cancer on number of live births.
DOI: 10.21227/xm8n-7r78
title: SJB Face Dataset: Indian Face Image Dataset with changes in pose and Expression and Occlusion 

description: Biometric management and that to which uses face, is indeed a very challenging work and requires a dedicated dataset which imbibes in it variations in pose, emotion and even occlusions. The Current work aims at delivering a dataset for training and testing purposes.SJB Face dataset is one such Indian face image dataset, which can be used to recognize faces. SJB Face dataset contains face images which were collected from digital camera. The face dataset collected has certain conditions such as different pose, Expressions, face partially occluded and with a uniform attire. SJB Face Dataset was collected from 48 students in which each of them consisted of 13 face images.  All the images have in it the students in white attire. This database shall be used for face recognition projects in academia and industry to develop attendance systems and other relevant areas, as attendance system requires to have a systematic images for training.
DOI: 10.6084/m9.figshare.16696285
title: Additional file 2 of A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences

description: Additional file 2: Supplementary Table 1. A catalogue of Flaviviridae-Human share-ome nonapeptide sequences.
DOI: 10.6084/m9.figshare.16696285.v1
title: Additional file 2 of A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences

description: Additional file 2: Supplementary Table 1. A catalogue of Flaviviridae-Human share-ome nonapeptide sequences.
DOI: 10.6084/m9.figshare.16696288
title: Additional file 3 of A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences

description: Additional file 3: Supplementary Table 2. Major clusters (hotspots) of Flaviviridae-Human shared sequences in proteins of Flaviviridae family viruses. This list includes Protein ID that may be chimeric, synthetic construct, or modified protein (patent sequence).
DOI: 10.6084/m9.figshare.16696288.v1
title: Additional file 3 of A systematic bioinformatics approach for large-scale identification and characterization of host-pathogen shared sequences

description: Additional file 3: Supplementary Table 2. Major clusters (hotspots) of Flaviviridae-Human shared sequences in proteins of Flaviviridae family viruses. This list includes Protein ID that may be chimeric, synthetic construct, or modified protein (patent sequence).
DOI: 10.6084/m9.figshare.21455980
title: Additional file 1 of High tumor hexokinase-2 expression promotes a pro-tumorigenic immune microenvironment by modulating CD8+/regulatory T-cell infiltration

description: Additional file 1: Supplementary Data S1. Clinicopathological features and immunoprofiles of patients with lung adenocarcinoma subjected to flow cytometry. Supplementary Data S2. Clinicopathological features and immune profiles of patients with lung adenocarcinoma subjected to immunohistochemistry. Supplementary Data S3. Clinicopathological features and immune profiles of patients with lung squamous cell carcinoma subjected to immunohistochemistry. Supplementary Data S4. Clinicopathological features and immune profiles of patients with colon adenocarcinoma subjected to immunohistochemistry. Supplementary Data S5. Clinicopathological features and immune profiles of non-small cell lung cancer patients with PD-1/PD-L1 blockade subjected to immunohistochemistry.
DOI: 10.6084/m9.figshare.21455980.v1
title: Additional file 1 of High tumor hexokinase-2 expression promotes a pro-tumorigenic immune microenvironment by modulating CD8+/regulatory T-cell infiltration

description: Additional file 1: Supplementary Data S1. Clinicopathological features and immunoprofiles of patients with lung adenocarcinoma subjected to flow cytometry. Supplementary Data S2. Clinicopathological features and immune profiles of patients with lung adenocarcinoma subjected to immunohistochemistry. Supplementary Data S3. Clinicopathological features and immune profiles of patients with lung squamous cell carcinoma subjected to immunohistochemistry. Supplementary Data S4. Clinicopathological features and immune profiles of patients with colon adenocarcinoma subjected to immunohistochemistry. Supplementary Data S5. Clinicopathological features and immune profiles of non-small cell lung cancer patients with PD-1/PD-L1 blockade subjected to immunohistochemistry.
DOI: 10.6084/m9.figshare.21456002
title: Additional file 1 of The effect of a locally tailored intervention on the uptake of preconception care in the Netherlands: a stepped-wedge cluster randomized trial (APROPOS-II study)

description: Additional file 1: Supplemental File 1. Questionnaire for women. Supplemental File 2. Questionnaire for men. Supplemental File 3. Questionnaire for healthcare providers.