cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23909586.v1
title: Supplementary Material for: Circulating microRNAs as biomarker for vessel-associated retinal diseases

description: Introduction: Vessel-associated retinal diseases are a major cause of blindness and severe visual impairment. The identification of appropriate biomarkers is of great importance to better anticipate disease progression and establish more targeted treatment options. MicroRNAs (miRNAs) are short, single-stranded, non-coding ribonucleic acids that are involved in the post-transcriptional regulation of gene expression through hybridization with messenger RNA. The expression of certain miRNAs can be different in patients with pathological processes and can be used for the detection and differentiation of various diseases. In this study, we investigate to what extent previously in vitro identified miRNAs are present as cell-free circulating miRNAs in serum and vitreous of human patients with and without vessel-associated retinal diseases. Methods: Relative quantification by qRT-PCR was used to analyze miRNA expression in patients with vessel-associated retinal diseases such as age-related macular degeneration (AMD), diabetic retinopathy (DR) and retinal vein occlusion (RVO) compared with control patients. Results: In serum samples, miR-29a-3p and miR-192-5p showed increased expression in patients with neovascular AMD relative to control patients. Similarly, miR-335-5p, miR-192-5p, and miR-194-5p showed increased expression in serum from patients with proliferative DR. In vitreous samples, miR-100-5p was decreased in patients with proliferative DR. Differentially expressed miRNAs showed good diagnostic accuracy in Receiver Operating Characteristic (ROC) and Area under the ROC Curve (AUC) analysis. Conclusion: The miRNAs investigated in this study may have the potential to serve as biomarkers for vessel-associated retinal diseases. Combining multiple miRNAs may enhance the predictive power of the analysis.
DOI: 10.6084/m9.figshare.23904921.v1
title: Supplementary Material for: Evaluation the Impact of Obesity and Different Metabolic Status on the Prognosis of Hospitalized Patients with Inflammatory Bowel Disease: A Cohort Study.

description: Introduction: Obesity is associated with an increased risk of inflammatory bowel disease (IBD), whereas not all obesity individuals have the same effect. In individuals with obesity, the role of metabolic status in the readmission of IBD remains unclear. Our study aimed to evaluate the association between different obesity metabolic phenotypes and the prognosis of IBD patients. Methods: We conducted a longitudinal cohort study using Nationwide Readmission Database (2018 sample). Out of 12,928,231 discharge records, 63,748 records with a discharge diagnosis of IBD were identified for analysis. Cox proportional hazard ratio (HR) with 95% confidence interval (CI) was calculated adjusting for potential confounders. Results: During 180-day follow-up in IBD patients with different obesity metabolic phenotypes, all-cause readmission rate, inpatient mortality rate, unplanned readmission rate, total charge, hospitalized length of stay were statistical different (all P&lt;0.001). After multivariate Cox regression analysis, IBD patients with metabolically unhealthy nonobese (MUNO) had higher risk of readmission (all-cause and unplanned) (HR 1.04, 95% CI 1.00-1.08 and HR 1.06, 95% CI 1.02-1.10), and that with metabolically unhealthy obesity (MUO) had higher risk of unplanned readmission (HR 1.08, 95% CI 1.02-1.15). In subgroup analysis, both MUNO group and MUO group had higher risk of readmission (all-cause and unplanned) in UC subgroup; but only MUNO group had higher risk of readmission (all-cause and unplanned) (HR 1.05, 95% CI 1.00-1.10 and HR 1.06, 95%CI 1.01-1.12) in CD subgroup. Conclusion: Metabolic abnormalities were associated with an increased risk of readmission in patients with IBD, regardless of obesity.
DOI: 10.5281/zenodo.8334623
title: Shear wave velocity inversion based on dispersion characteristics of seabed Scholte wave in deep water

description: Simulated displacement records at the seabed with three different water depths using spectral element method.
DOI: 10.5281/zenodo.8334622
title: Shear wave velocity inversion based on dispersion characteristics of seabed Scholte wave in deep water

description: Simulated displacement records at the seabed with three different water depths using spectral element method.
DOI: 10.5281/zenodo.7544945
title: GlobBiomass dataset of forest biomass, South America S (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 60°S and 10°S) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -60°N/-10°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_South_America_S_20210428.pdf
DOI: 10.5281/zenodo.7544946
title: GlobBiomass dataset of forest biomass, South America S (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 60°S and 10°S) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -60°N/-10°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_South_America_S_20210428.pdf
DOI: 10.5281/zenodo.8334607
title: GlobBiomass dataset of forest biomass, South America S (25 m)

description: The dataset consists of a map of above ground forest biomass (AGB, unit: tons/ha i.e., Mg/ha) of the South American region (between 60°S and 10°S) for the year 2010 (raster dataset) with a pixel size of 25 m x 25 m. AGB is defined as the mass, expressed as oven-dry weight of the woody parts (stem, bark, branches and twigs) of all living trees excluding stump and roots. Per-pixel estimates of above-ground biomass uncertainty expressed as standard error in Mg/ha (raster dataset) are also provided. The AGB estimates were obtained from spaceborne SAR (ALOS PALSAR, Envisat ASAR), optical (Landsat-7), LiDAR (ICESAT), auxiliary datasets with multiple estimation procedures (Santoro et al., ESSD, 2021). In this repository, the AGB data are available in form of tiles of 2° x 2° (bounding box: longitude -180°E/-26°E latitude: -60°N/-10°N). This dataset is the basis for the official GlobBiomass dataset consisting of global estimates of forest biomass with 1 ha pixels (https://doi.pangaea.de/10.1594/PANGAEA.894711). The dataset in this repository represents the original GlobBiomass dataset of AGB from which the official dataset was obtained after averaging from 25 m to 100 m. Given the lower accuracy of the 25 m pixel-based estimates, it is recommended to use the official GlobBiomass dataset unless detailed spatial resolution is a fundamental asset. Technical specifications are provided in the file README_GLOBBIOMASS_South_America_S_20210428.pdf
DOI: 10.4121/de341c98-989c-4ada-8e85-4b7621c7f9a7
title: Dataset associated to the paper "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods"

description: Dataset associated to the research article "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods", currently under revision for the journal PLOS Climate. The present dataset contains the necessary files to run the examples that can be found in the manuscript. For more information about this research line, we refer the reader to the associated MSc thesis here: https://studenttheses.uu.nl/handle/20.500.12932/43339
DOI: 10.4121/de341c98-989c-4ada-8e85-4b7621c7f9a7.v1
title: Dataset associated to the paper "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods"

description: Dataset associated to the research article "Towards high-resolution gridded climatology stemming from the combination of official and crowdsourced weather observations using multi-fidelity methods", currently under revision for the journal PLOS Climate. The present dataset contains the necessary files to run the examples that can be found in the manuscript. For more information about this research line, we refer the reader to the associated MSc thesis here: https://studenttheses.uu.nl/handle/20.500.12932/43339
DOI: 10.17032/shu-0000000178
title: Housing for Older People Supply Recommendations (HOPSR)

description: The file is a tool for assessing the local supply requirements for older persons housing.
description: Secondary data sources
description: Various processing and analysis to create supply recommendations.
DOI: 10.5517/ccdc.csd.cc20nmjv
title: CCDC 1866867: Experimental Crystal Structure Determination

description: Related Article: Aparajita Mukherjee, Sayanti Datta, Michael G. Richmond, Samaresh Bhattacharya|2023|RSC Advances|13|25660|doi:10.1039/D3RA04750D
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.24118353
title: 7-meter records for all shooters from 41 major handball championships

description: 7-meter records for all shooters from 41 major handball championships2007-2023 world championship [excluding the 2023 women’s world championship] 2008-2022 European championships2008-2020 Olympics
DOI: 10.6084/m9.figshare.24118353.v1
title: 7-meter records for all shooters from 41 major handball championships

description: 7-meter records for all shooters from 41 major handball championships2007-2023 world championship [excluding the 2023 women’s world championship] 2008-2022 European championships2008-2020 Olympics
DOI: 10.4121/50138917-cf01-4780-9d1d-443593b7e974.v1
title: Simulation data and code accompanying the publication: Dynamic wind farm flow control using free-vortex wake models

description: Code and simulation results for a study on wake steering in wind farms under time-varying inflow inflow conditions for maximisation of power production.<br>A novel model-based controller is developed based on a distributed optimisation approach with the free-vortex wake model. The model of the wind turbine wake and the controller are provided as Julia code. The associated data contains control signals and results from experiments in large-eddy simulation as presented in the associated publication.<br>Code and simulation data supporting the paper "Dynamic wind farm flow control using free-vortex wake models"
DOI: 10.6084/m9.figshare.24118365
title: Traj_SweepNet

description: Trajectory files for generating the selection .ms files
DOI: 10.34740/kaggle/dsv/6451959
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.19905662
title: Ineffective peripheral tissue perfusion in patients with diabetic foot: a mid-range theory

description: ABSTRACT Objective: to develop a mid-range theory for nursing diagnosis ineffective peripheral tissue perfusion in patients with diabetic foot. Method: the theory construction was carried out in six stages: approach definition; theoretical-conceptual model definition; definition of the main concepts; pictogram development; construction of propositions and establishment of causal relationships evidence for practice. Results: twelve etiological factors and 22 clinical indicators were included in the theory, some of which were not listed in NANDA International (Inc.) and others were adapted to better characterize patients with diabetic foot. A pictogram was constructed and eight propositions were established to verify causal relationships and evidence for practice. Conclusion: medium-range theory made it possible to broaden the concepts and demonstrate the causal relationships between the elements of ineffective peripheral tissue perfusion, providing subsidies to minimize gaps in knowledge and assist clinical nursing practice.
DOI: 10.35077/pen
title: 608109

description: This is a series of monosynaptic, retrograde trans-synaptic tracing images of whole mouse brain to map whole-brain inputs to genetically-identified cell populations brain-wide.
description: DATASET METADATA: title:'608109', GeneralModality:'connectivity', Technique:'retrograde transsynaptic tracing' SPECIMEN METADATA: LocalID:'608109', Species:'Mouse', NCBITaxonomy:'NCBI:txid10090', Age:'95.0', Ageunit:'Days', Sex:'Female', Genotype:'Ntsr1-Cre_GN220/wt', OrganLocalID:'1149879636.0', OrganName:'Brain', SampleLocalID:'0539070830' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision TissueCyte 1000', ObjectiveName:'Zeiss 20X Plan-Apochromat', ObjectiveImmersion:'Water', ObjectiveNA:'1.0', ObjectiveMagnification:'20X', DetectorType:'PMT', DetectorModel:'Hamamatsu R3896', IlluminationWavelength:'925nm', DetectionWavelength:'447-593nm', SampleTemperature:'20.0' IMAGE METADATA: xAxis:'left-to-right', yAxis:'superior-to-inferior', zAxis:'posterior-to-anterior', Number:'1,2,3,red,green,blue', displayColor:'(1.0,0.0,0.0),(0.0,1.0,0.0),(0.0,0.0,1.0)', Representation:'neurite', Flurophore:'CH1(background fluorescence) CH2(GFP) CH3(background fluorescence)', stepSizeX:'0.875', stepSizeY:'0.875', stepSizeZ:'100.0', Channels:'3.0', Slices:'140.0', z:'1.0', Xsize:'16000.0', Ysize:'12000.0', Zsize:'1.0'
DOI: 10.6084/m9.figshare.19905671
title: THE SHARING ECONOMY IN PRACTICE: AN EXPLORATORY STUDY OF THE ACCEPTANCE AND USE OF DIGITAL PLATFORMS IN FOOD WASTE REDUCTION

description: ABSTRACT This article addresses the issue of reducing food waste by way of digital sharing economy platforms, which promote sharing by donating, selling and exchanging surplus food among institutions, commercial establishments and end consumers, thus boosting accessibility and improving food security. In order to succeed, these platforms need to be accepted by the market, but little is known about the acceptance and use factors of these platforms. Therefore, the study presented in this article identifies the factors that influence the acceptance and use of such platforms. The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as a theoretical basis for developing an embedded case study on the Ecofood platform. In addition to secondary data collection, interviews and direct observations were carried out in two cities in Southern Brazil. Effort expectancy was identified as the key factor for use behavior, and two new factors (trust and gratefulness) were identified as factors that influence intention behavior and use of the platform. Three propositions were developed to summarize the findings and guide future research.
DOI: 10.6084/m9.figshare.19905671.v1
title: THE SHARING ECONOMY IN PRACTICE: AN EXPLORATORY STUDY OF THE ACCEPTANCE AND USE OF DIGITAL PLATFORMS IN FOOD WASTE REDUCTION

description: ABSTRACT This article addresses the issue of reducing food waste by way of digital sharing economy platforms, which promote sharing by donating, selling and exchanging surplus food among institutions, commercial establishments and end consumers, thus boosting accessibility and improving food security. In order to succeed, these platforms need to be accepted by the market, but little is known about the acceptance and use factors of these platforms. Therefore, the study presented in this article identifies the factors that influence the acceptance and use of such platforms. The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) was used as a theoretical basis for developing an embedded case study on the Ecofood platform. In addition to secondary data collection, interviews and direct observations were carried out in two cities in Southern Brazil. Effort expectancy was identified as the key factor for use behavior, and two new factors (trust and gratefulness) were identified as factors that influence intention behavior and use of the platform. Three propositions were developed to summarize the findings and guide future research.
DOI: 10.5517/ccdc.csd.cc22169n
title: CCDC 1907780: Experimental Crystal Structure Determination

description: Related Article: Xiaofei Chen, Christian Mevissen, Saskia Huda, Christian Göb, Iris M. Oppel, Markus Albrecht|2019|Angew.Chem.,Int.Ed.|58|12879|doi:10.1002/anie.201904181
DOI: 10.35077/pet
title: 609635

description: This is a series of monosynaptic, retrograde trans-synaptic tracing images of whole mouse brain to map whole-brain inputs to genetically-identified cell populations brain-wide.
description: DATASET METADATA: title:'609635', GeneralModality:'connectivity', Technique:'retrograde transsynaptic tracing' SPECIMEN METADATA: LocalID:'609635', Species:'Mouse', NCBITaxonomy:'NCBI:txid10090', Age:'85.0', Ageunit:'Days', Sex:'Male', Genotype:'Cux2-IRES-Cre/wt', OrganLocalID:'1149879630.0', OrganName:'Brain', SampleLocalID:'0539070842' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision TissueCyte 1000', ObjectiveName:'Zeiss 20X Plan-Apochromat', ObjectiveImmersion:'Water', ObjectiveNA:'1.0', ObjectiveMagnification:'20X', DetectorType:'PMT', DetectorModel:'Hamamatsu R3896', IlluminationWavelength:'925nm', DetectionWavelength:'447-593nm', SampleTemperature:'20.0' IMAGE METADATA: xAxis:'left-to-right', yAxis:'superior-to-inferior', zAxis:'posterior-to-anterior', Number:'1,2,3,red,green,blue', displayColor:'(1.0,0.0,0.0),(0.0,1.0,0.0),(0.0,0.0,1.0)', Representation:'neurite', Flurophore:'CH1(background fluorescence) CH2(GFP) CH3(background fluorescence)', stepSizeX:'0.875', stepSizeY:'0.875', stepSizeZ:'100.0', Channels:'3.0', Slices:'140.0', z:'1.0', Xsize:'16000.0', Ysize:'12000.0', Zsize:'1.0'
DOI: 10.5066/p9wkwp6u
title: USGS National and Global Oil and Gas Assessment Project-Greater Taranaki and East Coast Basins, New Zealand, Assessment Unit Boundaries and Assessment Input Forms

description: This data release contains the boundaries of conventional assessment units for the assessment of undiscovered oil and gas resources in the Greater Taranaki and East Coast Basins, New Zealand. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, [...]
DOI: 10.35077/pie
title: 610902

description: This is a series of monosynaptic, retrograde trans-synaptic tracing images of whole mouse brain to map whole-brain inputs to genetically-identified cell populations brain-wide.
description: DATASET METADATA: title:'610902', GeneralModality:'connectivity', Technique:'retrograde transsynaptic tracing' SPECIMEN METADATA: LocalID:'610902', Species:'Mouse', NCBITaxonomy:'NCBI:txid10090', Age:'84.0', Ageunit:'Days', Sex:'Female', Genotype:'Nr5a1-Cre/wt', OrganLocalID:'1151275654.0', OrganName:'Brain', SampleLocalID:'0539070846' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision TissueCyte 1000', ObjectiveName:'Zeiss 20X Plan-Apochromat', ObjectiveImmersion:'Water', ObjectiveNA:'1.0', ObjectiveMagnification:'20X', DetectorType:'PMT', DetectorModel:'Hamamatsu R3896', IlluminationWavelength:'925nm', DetectionWavelength:'447-593nm', SampleTemperature:'20.0' IMAGE METADATA: xAxis:'left-to-right', yAxis:'superior-to-inferior', zAxis:'posterior-to-anterior', Number:'1,2,3,red,green,blue', displayColor:'(1.0,0.0,0.0),(0.0,1.0,0.0),(0.0,0.0,1.0)', Representation:'neurite', Flurophore:'CH1(background fluorescence) CH2(GFP) CH3(background fluorescence)', stepSizeX:'0.875', stepSizeY:'0.875', stepSizeZ:'100.0', Channels:'3.0', Slices:'140.0', z:'1.0', Xsize:'16000.0', Ysize:'12000.0', Zsize:'1.0'
DOI: 10.35077/pig
title: 610903

description: This is a series of monosynaptic, retrograde trans-synaptic tracing images of whole mouse brain to map whole-brain inputs to genetically-identified cell populations brain-wide.
description: DATASET METADATA: title:'610903', GeneralModality:'connectivity', Technique:'retrograde transsynaptic tracing' SPECIMEN METADATA: LocalID:'610903', Species:'Mouse', NCBITaxonomy:'NCBI:txid10090', Age:'84.0', Ageunit:'Days', Sex:'Female', Genotype:'Nr5a1-Cre/wt', OrganLocalID:'1151275660.0', OrganName:'Brain', SampleLocalID:'0539070894' INSTRUMENT METADATA: MicroscopeType:'Two Photon', MicroscopeManufacturerAndModel:'TissueVision TissueCyte 1000', ObjectiveName:'Zeiss 20X Plan-Apochromat', ObjectiveImmersion:'Water', ObjectiveNA:'1.0', ObjectiveMagnification:'20X', DetectorType:'PMT', DetectorModel:'Hamamatsu R3896', IlluminationWavelength:'925nm', DetectionWavelength:'447-593nm', SampleTemperature:'20.0' IMAGE METADATA: xAxis:'left-to-right', yAxis:'superior-to-inferior', zAxis:'posterior-to-anterior', Number:'1,2,3,red,green,blue', displayColor:'(1.0,0.0,0.0),(0.0,1.0,0.0),(0.0,0.0,1.0)', Representation:'neurite', Flurophore:'CH1(background fluorescence) CH2(GFP) CH3(background fluorescence)', stepSizeX:'0.875', stepSizeY:'0.875', stepSizeZ:'100.0', Channels:'3.0', Slices:'140.0', z:'1.0', Xsize:'16000.0', Ysize:'12000.0', Zsize:'1.0'