cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21253/dmu.21270609
title: Pathways_Dejana Sekulic's fellowship

description: <em>Pathways</em> is a digital score work-in-progress developed by Dejana Sekulic during a two-week fellowship residency at the DigiScore Lab at De Montfort University. The work was developed in collaboration with Prashanth Thattai, post-doc fellow researcher on the project. <br>
DOI: 10.21253/dmu.21270609.v2
title: Pathways_Dejana Sekulic's fellowship

description: <em>Pathways</em> is a digital score work-in-progress developed by Dejana Sekulic during a two-week fellowship residency at the DigiScore Lab at De Montfort University. The work was developed in collaboration with Prashanth Thattai, post-doc fellow researcher on the project. <br>
DOI: 10.21253/dmu.21270609.v1
title: Pathways_Dejana Sekulic's fellowship

description: <em>Pathways</em> is a digital score work-in-progress developed by Dejana Sekulic during a two-week fellowship residency at the DigiScore Lab at De Montfort University. The work was developed in collaboration with Prashanth Thattai, post-doc fellow researcher on the project. <br>
DOI: 10.34740/kaggle/dsv/4322447
title: SanFrancisco_salary_5 years
DOI: 10.15124/8620182a-ca0c-47b6-ad15-17e6eabb9014
title: Ablation of Submicrometer Holes Using an Extreme-Ultraviolet Laser - Phys. Rev. Appl. - A. K. Rossall

description: Complete set of data contain in figures and .eps images for paper - A.K.Rossall et al. Phys. Rev. Appl. Vol. 3, 064013.
DOI: 10.15124/5cf9292e-1316-4448-b3f0-0970f999f3f5
title: Dataset for "Etheric Bimesogens and the Twist-Bend Nematic Phase"

description: Spectral data for novel compounds and input files for the paper "Etheric Bimesogens and the Twist-Bend Nematic Phase". This dataset was embargoed until the end date of EPSRC grant EP/M020584/1 (1 December 2018) in case further publication and intellectual property arose.
DOI: 10.15124/85fe1cdb-16b3-4972-bca7-3a057ed1e75c
title: MD text files for the paper 'Evaluation of a base, acid and solvent method in the production of microcapsules from Lycopodium clavatum spores, and Secale cereale, Juglans nigra, and Ambrosia artemisiifolia pollen'

description: Dataset unavailable Text files describing SEM setup. Data embargoed until publication of the research.
DOI: 10.5281/zenodo.7194082
title: magnolia_virginiana_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7194081
title: magnolia_virginiana_zanfona_1.fasta.gz

description: .
DOI: 10.15124/a2e1a8c2-d78a-4949-886c-fd83c7de272b
title: Chiral Dopants and the Twist Bend Nematic Phase - Induction of Two Novel Phases of Mater in an Apolar Bimesogen

description: Dataset for "Chiral Dopants and the Twist Bend Nematic Phase - Induction of Two Novel Phases of Mater in an Apolar Bimesogen": * NMR Data * FT-IR Data * SAXS Data * DSC Data
DOI: 10.15124/45427dd0-fa53-4e78-b86a-8a9a177541e0
title: Data depicting the performance of the AENs against the GRNs

description: Data set showing the objective differences between the two algorithms for a range of dynamical problems. Dataset unavailable.
DOI: 10.15124/987e4d27-4a9e-4103-ae49-0ab95f3b5bb2
title: The Contrasting Character of Early and Late Transition Metal Fluorides as Hydrogen Bond Acceptors

description: Data associated with publication "The Contrasting Character of Early and Late Transition Metal Fluorides as Hydrogen Bond Acceptors" including NMR spectra and fitting of changes in NMR spectra with additon of hydorgen bond donors. Dataset unavailable.
DOI: 10.6084/m9.figshare.21324837
title: Nanjing_FFBS_data.zip

description: The uploaded dataset includes the free-floating bike sharing (FFBS) OD flow and road network dataset within a region of Nanjing and some other files. It can be used as a case dataset for the SNN_flow method.
DOI: 10.6084/m9.figshare.21324837.v1
title: Nanjing_FFBS_data.zip

description: The uploaded dataset includes the free-floating bike sharing (FFBS) OD flow and road network dataset within a region of Nanjing and some other files. It can be used as a case dataset for the SNN_flow method.
DOI: 10.15124/b04ccc39-9566-4ed6-8110-f116f86bbf54
title: Surface Specific Visible Light Luminescence from Composite Metal Oxide Nanocrystals

description: Atomic coordinates for structural models of Ba substitutional impurities at surface features of MgO nanocrystals obtained using the embedded cluster method.
DOI: 10.15124/158bf570-ad38-43b5-93d5-8c33dc683cc2
title: Investigating the dynamics of surface-immobilized DNA nanomachines: supporting data
DOI: 10.15124/4a736d68-5d0c-48e0-9527-940d27f122e1
title: Total Synthesis and Stereochemical Revision of Phacelocarpus 2-Pyrone A: supporting data

description: Data to accompany supporting information file for our research paper Total Synthesis and Stereochemical Revision of Phacelocarpus 2-Pyrone A.
DOI: 10.5281/zenodo.7194093
title: pagurus_longicarpus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7194092
title: pagurus_longicarpus_zanfona_1.fasta.gz

description: .
DOI: 10.15124/0bede454-b78e-474c-8d93-38b9911700f5
title: Relevance of non-equilibrium defect generation processes to resistive switching in TiO2

description: Calculations of intrinsic defects and defect formation processes in rutile TiO2. This dataset contains the following: Bulk: The structure of the bulk TiO2 supercell (POSCAR) Intrinsic: Example input files to run a calculation on an intrinsic defect as described in Sec. IIIA of the paper [J. Appl. Phys. 118, 134103 (2015); http://dx.doi.org/10.1063/1.4932225] Intrinsic poscars: POSCAR files containing the optimised structure of all intrinsic defects in different charge states e.g. O interstitial charge q=0 - POSCAR-Oi0 Ti interstitial charge q=4 - POSCAR-Tii+4 O vacancy charge q=0 - POSCAR-VO0 Ti vacancy charge q=0 - POSCAR-VTi0 Frenkel defects: Optimised structure of the Ti and O Frenkel defects as described in Sec. IIIB of the paper [J. Appl. Phys. 118, 134103 (2015); http://dx.doi.org/10.1063/1.4932225].Corresponding potential energy surfaces can be calculated by linear interpolation as described in the paper. Frenkel hole: Optimised structure of the Frenkel defect with a localised hole as described in Sec. IIIC of the paper [J. Appl. Phys. 118, 134103 (2015); http://dx.doi.org/10.1063/1.4932225].Corresponding potential energy surfaces can be calculated by linear interpolation as described in the paper.
DOI: 10.15124/7198daeb-5b71-428a-af75-5116ca842832
title: MD for the paper 'Lycopodium clavatum spore particles as a stationary phase for the capture and release of dyes'

description: SEM and TEM images of Lycopodium clavatum spore particles; UV-vis spectra; Microsoft Excel files showing data and its analysis. Dataset unavailable.
DOI: 10.15124/54729b94-5d5a-4831-a15d-04ab3f617298
title: Electronic and magnetic properties of the cation vacancy defect in m-HfO2

description: Calculations of the electronic and magnetic properties of the cation vacancy defect in m-HfO2. This dataset contains the following: Hf vacancies: Coordinates (POSCAR) and example input files for calculations of Hf vacancies in all charge states and at all three levels of theory (CON, GGA and HSE) Hole diffuse: Coordinates for the structure of the Hf vacancy with a hole that has diffused away from the vacancy. Magnetic: Structures for FM and AF configurations of Hf vacancies arranged in the [001] and [100] directions.
DOI: 10.15124/d1278660-b889-4932-8430-401884176d75
title: Characterisation of fungal alcohol oxidases AA5 family

description: The dataset contains the EPR study on fungal alcohol oxidases (AA5 family). The copper active site of the enzymes are investigated by EPR. Details of sample preparation are also included. The EPR data are uploaded as both raw data from the instrument and the corresponding .asc files.
DOI: 10.34740/kaggle/dsv/4322563
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.21324831
title: Dataset Hasil PKM 2022

description: Dataset documentation relevant to the "Pengabdian kepada Masyarakat 2022" entitled "Pelatihan Perancangan Pembelajaran Berdiferensiasi sesuai Kerangka Kurikulum Merdeka"
DOI: 10.6084/m9.figshare.21324831.v1
title: Dataset Hasil PKM 2022

description: Dataset documentation relevant to the "Pengabdian kepada Masyarakat 2022" entitled "Pelatihan Perancangan Pembelajaran Berdiferensiasi sesuai Kerangka Kurikulum Merdeka"
DOI: 10.5281/zenodo.7194110
title: rhinocypha_anisoptera_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7194109
title: rhinocypha_anisoptera_zanfona_1.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/4322573
title: 2021 World Population (updated daily)
DOI: 10.21227/e9yp-4a87
title: Graphics Code 2023 stem3 models II

description: Light wfeight Function create stem3 model  with an complex route as in link figure data setLink:   https://www.mathworks.com/matlabcentral/communitycontests/contests/5/entries/10863
DOI: 10.5281/zenodo.7194167
title: Tidal pumping controls dissolved organic matter properties and outwelling from mangrove groundwater to coastal water

description: Original data including three files: 1, DOM summary; 2, groundwater observation; 3, hydroperiod and infiltration capacity.
DOI: 10.5281/zenodo.7194166
title: Tidal pumping controls dissolved organic matter properties and outwelling from mangrove groundwater to coastal water

description: Original data including three files: 1, DOM summary; 2, groundwater observation; 3, hydroperiod and infiltration capacity.
DOI: 10.5281/zenodo.7194132
title: rudbeckia_hirta_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7194131
title: rudbeckia_hirta_zanfona_1.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21325026
title: Figure4

description: The data in Figure 4A are in "Fig4A.xlsx" file. It was acquired by using "Raw image preslide.tif" which is the fluorescence image from normalized friction 0.7 to 1 to quantitatively calculate the shear stress before the onset of sliding. Afterwards, images were divided by the pressure from the simulation (Sim_Pressure.tif) to get the local CoF. Radially average the CoF Mapping, one can get the data from 4A. Unfortunately, the code is not open-source. One can possibly get the code by asking Prof. Dr. Matthijn de Rooij. To get Figure 4B, one could use the CoF mapping and define a logic evaluation such values &gt;0.5 are slipping. Then one can get file like "Slip Zone.tif". Super-imposing the Slip Zone.tif to Contact Area.tif one can get the same results shown in Figure 4B.
DOI: 10.6084/m9.figshare.21325026.v1
title: Figure4

description: The data in Figure 4A are in "Fig4A.xlsx" file. It was acquired by using "Raw image preslide.tif" which is the fluorescence image from normalized friction 0.7 to 1 to quantitatively calculate the shear stress before the onset of sliding. Afterwards, images were divided by the pressure from the simulation (Sim_Pressure.tif) to get the local CoF. Radially average the CoF Mapping, one can get the data from 4A. Unfortunately, the code is not open-source. One can possibly get the code by asking Prof. Dr. Matthijn de Rooij. To get Figure 4B, one could use the CoF mapping and define a logic evaluation such values &gt;0.5 are slipping. Then one can get file like "Slip Zone.tif". Super-imposing the Slip Zone.tif to Contact Area.tif one can get the same results shown in Figure 4B.
DOI: 10.5281/zenodo.7193943
title: Data that are used to Explain the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity"

description: This dataset is for the draft "Explaining the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity". The netcdf file "last150yravg_picontrol.nc" represents the time-average fields for the last 150 years of PI-control experiment. Netcdf files beginning with "last20yravg" represent the time-average fields for the last 20 years (Year131-150) of abrupt forcing experiments. Note that "0p5co2" in the file name denotes 0.5xCO2, "4psolar" denotes +4% solar radiation, and "m2psolar" denotes -2% solar radiation. The netcdf files beginning with "fixedsst" represent the time-average fields for fixed-SST experiments, where the file "fixedsst_control.nc" denotes the fixed SST control experiment. The netcdf files beginning with "uni" represent the time-average fields for uniform warming/cooling experiments, where the magnitude of SST change is indicated by the file names (m2K denotes -2K). The text file "GFA_partialR_over_partial_SST" denote the value of partial_R over partial_SST for each grid, and its grid (96x144) is same as other netcdf files in this datasets .
DOI: 10.5281/zenodo.7193942
title: Data that are used to Explain the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity"

description: This dataset is for the draft "Explaining the Forcing Efficacy with Pattern Effect and Feedback Nonlinearity". The netcdf file "last150yravg_picontrol.nc" represents the time-average fields for the last 150 years of PI-control experiment. Netcdf files beginning with "last20yravg" represent the time-average fields for the last 20 years (Year131-150) of abrupt forcing experiments. Note that "0p5co2" in the file name denotes 0.5xCO2, "4psolar" denotes +4% solar radiation, and "m2psolar" denotes -2% solar radiation. The netcdf files beginning with "fixedsst" represent the time-average fields for fixed-SST experiments, where the file "fixedsst_control.nc" denotes the fixed SST control experiment. The netcdf files beginning with "uni" represent the time-average fields for uniform warming/cooling experiments, where the magnitude of SST change is indicated by the file names (m2K denotes -2K). The text file "GFA_partialR_over_partial_SST" denote the value of partial_R over partial_SST for each grid, and its grid (96x144) is same as other netcdf files in this datasets .
DOI: 10.5281/zenodo.7194179
title: Biom files of bacterial rhizosphere communities from two pioneer species, Brachystegia boehmii and B. spiciformis

description: In this repository, you will find a mapping file of all samples and a biom table with all operational taxonomy units allowing the analyses of the bacterial rhizosphere communities.
DOI: 10.5281/zenodo.7194178
title: Biom files of bacterial rhizosphere communities from two pioneer species, Brachystegia boehmii and B. spiciformis

description: In this repository, you will find a mapping file of all samples and a biom table with all operational taxonomy units allowing the analyses of the bacterial rhizosphere communities.
DOI: 10.26300/yeax-rn97
title: A Descriptive Analysis of the Scientific Literature on Meteorological and Air Quality Factors and COVID-19
DOI: 10.26300/tk68-jg74
title: Breast Reconstruction After Mastectomy
DOI: 10.5281/zenodo.7194195
title: tomocerus_minor_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7194194
title: tomocerus_minor_zanfona_1.fasta.gz

description: .
DOI: 10.26300/h2nh-hd74
title: Blood Stream Infections Outcomes-Oriented Scoping Review
DOI: 10.5281/zenodo.7085691
title: BIOLOGICAL DATA in CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system

description: BIOLOGICAL DATA to estimate the carbon dioxide budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Álvarez-Salgado et al. (2022) estimated the carbon dioxide and total alkalinity budgets due to the Mediterranean mussels (Mytilus galloprovicialis) growing in suspended culture in a low seston environment such as the Galician Rías (NW Spain). This database contains the biological data needed to estimate the carbon dioxide fluxes and changes in total alkalinity induced by the different biological processes involved in mussel growth. Manuscript available at: https://doi.org/10.1016/j.scitotenv.2022.157867 Álvarez-Salgado, X.A., Fernández-Reiriz, M.J., Fuentes-Santos, I., Antelo, L.T., Alonso, A.A., Labarta, U., 2022. CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Sci. Total Environ. 849, 157867.
description: {"references": ["\u00c1lvarez-Salgado, X.A., Fern\u00e1ndez-Reiriz, M.J., Fuentes-Santos, I., Antelo, L.T., Alonso, A.A., Labarta, U., 2022. CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Sci. Total Environ. 849, 157867."]}
DOI: 10.5519/qd.hj7v3xbb
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1307 records)
DOI: 10.5281/zenodo.6667034
title: Decoding diabetes biomarkers and related molecular mechanisms using machine learning, text mining, and gene expression analysis

description: The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes using bioinformatics approaches. Text mining was used to screen 40,225 article abstracts from diabetes literature. These studies highlighted 5939 diabetes-related genes spread across 22 human chromosomes, with 112 genes mentioned in more than 50 studies. Among these genes, HNF4A, PPARA, VEGFA, TCF7L2, HLA- DRB1, PPARG, NOS3, KCNJ11, PRKAA2, and HNF1A were mentioned in more than 200 articles. These genes are correlated with the regulation of glycogen and polysaccharide, adipogenesis, AGE/RAGE, and macrophage differentiation. Three datasets (44 patients and 57 controls) were subjected to gene expression analysis. The analysis revealed 135 significant DEGs, of which CEACAM6, ENPP4, HDAC5, HPCAL1, PARVG, STYXL1, VPS28, ZBTB33, ZFP37 and CCDC58 were the top ten DEGs. These genes were enriched in aerobic respiration, T-Cell antigen receptor pathway, Tricarboxylic acid metabolic process, vitamin D receptor pathway, Toll-like receptor signaling, and endoplasmic reticulum (ER) unfolded protein response. The results of text mining and gene expression analyses used as attribute values for ML analysis . The "Decision tree", "Extra-tree regressor" and "Random forest" algorithms were used in ML analysis to identify unique markers that could be used as diabetes diagnosis tools. These algorithms produced prediction models with accuracy ranges from 0.6364 to 0.88 and overall confidence interval (CI) of 95%. There were 39 biomarkers that could distinguish diabetic and non-diabetic patients, 12 of which were repeated multiple times. The majority of these genes are associated with stress response, signalling regulation, locomotion, cell motility, growth, and muscle adaptation. ML algorithms highlighted the use of the HLA-DQB1 gene as a biomarker for diabetes early detection. Our data mining and gene expression analysis have provided useful information about potential biomarkers in diabetes.
DOI: 10.5281/zenodo.6667035
title: Bioinformatics analysis to decode diabetes biomarkers and related molecular mechanisms

description: The molecular basis of diabetes Mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differentially expressed genes (DEGs) in diabetes using bioinformatics approaches. Text mining analysis included 40,225 abstracts that were analyzed through Python programming language. Three Gene Expression Omnibus (GEO) datasets (44 patients and 57 controls) were analyzed using ImaGEO software. Gene enrichment analysis was conducted using ShinyGo, gprofiler, and Uniprot databases. Protein-protein interaction (PPI) was established using STRING database. Gene expression and text mining results were represented using R-ggplot2 and GeneSyno according to the human genome data.A total of 5939 genes were identified through text mining, of which 112 genes were mentioned in more than 50 articles. Among these genes, HNF4A, PPARA, VEGFA, TCF7L2, HLA-DRB1, PPARG, NOS3, KCNJ11, PRKAA2, and HNF1A were mentioned in more than 200 articles. Analysis of GEO datasets revealed 135 DEGs. CEACAM6, ENPP4, HDAC5, HPCAL1, PARVG, STYXL1, VPS28, ZBTB33, ZFP37 and CCDC58 were the top ten DEGs. The gene enrichment analysis revealed that a significant number of these genes were enriched in aerobic respiration, T-Cell antigen receptor pathway, Tricarboxylic acid metabolic process, vitamin D receptor pathway, Toll-like receptor signaling, and ER unfolded protein response. The PPI analysis showed few genes with high interaction activity, including ATP5G3, LCN2, MDH1, and NDUFB5. Our data mining and gene expression analysis have provided useful information about potential biomarkers in diabetes.
DOI: 10.5281/zenodo.7194230
title: Decoding diabetes biomarkers and related molecular mechanisms using machine learning, text mining, and gene expression analysis

description: The molecular basis of diabetes mellitus is yet to be fully elucidated. We aimed to identify the most frequently reported and differential expressed genes (DEGs) in diabetes using bioinformatics approaches. Text mining was used to screen 40,225 article abstracts from diabetes literature. These studies highlighted 5939 diabetes-related genes spread across 22 human chromosomes, with 112 genes mentioned in more than 50 studies. Among these genes, HNF4A, PPARA, VEGFA, TCF7L2, HLA- DRB1, PPARG, NOS3, KCNJ11, PRKAA2, and HNF1A were mentioned in more than 200 articles. These genes are correlated with the regulation of glycogen and polysaccharide, adipogenesis, AGE/RAGE, and macrophage differentiation. Three datasets (44 patients and 57 controls) were subjected to gene expression analysis. The analysis revealed 135 significant DEGs, of which CEACAM6, ENPP4, HDAC5, HPCAL1, PARVG, STYXL1, VPS28, ZBTB33, ZFP37 and CCDC58 were the top ten DEGs. These genes were enriched in aerobic respiration, T-Cell antigen receptor pathway, Tricarboxylic acid metabolic process, vitamin D receptor pathway, Toll-like receptor signaling, and endoplasmic reticulum (ER) unfolded protein response. The results of text mining and gene expression analyses used as attribute values for ML analysis . The "Decision tree", "Extra-tree regressor" and "Random forest" algorithms were used in ML analysis to identify unique markers that could be used as diabetes diagnosis tools. These algorithms produced prediction models with accuracy ranges from 0.6364 to 0.88 and overall confidence interval (CI) of 95%. There were 39 biomarkers that could distinguish diabetic and non-diabetic patients, 12 of which were repeated multiple times. The majority of these genes are associated with stress response, signalling regulation, locomotion, cell motility, growth, and muscle adaptation. ML algorithms highlighted the use of the HLA-DQB1 gene as a biomarker for diabetes early detection. Our data mining and gene expression analysis have provided useful information about potential biomarkers in diabetes.
DOI: 10.6084/m9.figshare.21311091.v1
title: 51 optrA-positive Streptococcus suis Genome sequencing and assembly

description: To study the genetic environment of optrA gene in Streptococcus suis
DOI: 10.5281/zenodo.7194208
title: BIOLOGICAL DATA in CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system

description: BIOLOGICAL DATA to estimate the carbon dioxide budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Álvarez-Salgado et al. (2022) estimate the carbon dioxide and total alkalinity budgets due to the Mediterranean mussels (Mytilus galloprovicialis) growing in suspended culture in a low seston environment such as the Galician Rías (NW Spain). This database contains the biological data needed to estimate the carbon dioxide fluxes and changes in total alkalinity induced by the different biological processes involved in mussel growth. Manuscript available at: https://doi.org/10.1016/j.scitotenv.2022.157867 Álvarez-Salgado, X.A., Fernández-Reiriz, M.J., Fuentes-Santos, I., Antelo, L.T., Alonso, A.A., Labarta, U., 2022. CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Sci. Total Environ. 849, 157867.
description: {"references": ["\u00c1lvarez-Salgado, X.A., Fern\u00e1ndez-Reiriz, M.J., Fuentes-Santos, I., Antelo, L.T., Alonso, A.A., Labarta, U., 2022. CO2 budget of cultured mussels metabolism in the highly productive Northwest Iberian upwelling system. Sci. Total Environ. 849, 157867."]}