cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ngc84bj5h4.1
title: ANOSMIA COVID MARCH LUGO

description: Patients COVID positive from LUGO Hospital and symptoms
DOI: 10.17632/pdyvchky3c.1
title: Data for “Processes in interorganizational relationships to develop absorptive capacity in startups” published by RAC - Revista de Administração Contemporânea

description: This research aims to provide an understanding of how absorptive capacity occurs in startups, which maintains interorganizational relationships with large companies. The research used a qualitative multiple case study design and the investigation of seven startups constituted the study corpus. The data were analyzed using statistical analysis, content analysis, and business process analysis. In the study, the software Iramuteq (Interface of R pour les Analyzes Multidimensionnelles de Textes et de Questionnaires) was used as a tool to aid the qualitative analysis of textual data. In a complementary way, the SPSS Statistics 17 software was used to treat the survey data.
DOI: 10.17632/wynv6kmz4b.1
title: Dataset Showing the Procedures for Order Amount Prediction For Manufacturing System with Stochastic Process and Make-to-order Strategy

description: This Dataset contains Raw sales data and cleaned Sales data for prediction of order amount for an alluminium rolling mill company with Stochastic and Make-to-Order Strategy.The Raw Dataset contains the original/raw extraction from SAP Database of University Affiliated Manufacturing Company.Extraction was done using Sql Program.while data cleaning and feature Engineering operation was done Using Python Programming langauage Libraries(Pandas,Numpy,MLP) The Data set was used for: Various descriptive Analysis like:Company With Highest Sales, Predictive Analysis like:Prediction of Order Amount,sales prediction Raw Sales Data:Sales Details 2010new - 18122015.xls Cleaned Data:SalesDataset Features:18 Records:77896
DOI: 10.17632/y7v5623rt9.1
title: Raw data for "Data describing expression of formyl peptide receptor 2 in human articular chondrocytes"

description: Raw data from experiments in article "Data describing expression of formyl peptide receptor 2 in human articular chondrocytes".
DOI: 10.5281/zenodo.3870914
title: CPU Benchmarking data collected on CloudLab

description: This dataset includes over 2.4M CPU performance measurements collected on the CloudLab testbed. For more information about *how* and *why* it is collected, please refer to the "Taming Performance Variability" paper (https://www.usenix.org/system/files/osdi18-maricq.pdf). For additional information about CPU measurements, you can refer to: https://www.flux.utah.edu/download?uid=288. All these records were exported from the live database dedicated to this benchmarking project on 05/31/2020.
DOI: 10.17632/75c2xrtgj2.1
title: Tesistas_FMVZ-UNAMBA

description: Esta es la data de las tesis sustentadas en la FMVZ-UNAMBA
DOI: 10.17632/nnxh5d35nd.1
title: Genome-wide CRISPR-Cas9 screen identified KLF11 as a druggable suppressor for sarcoma cancer stem cells

description: The original, unprocessed data alongside the paper
DOI: 10.17632/svsb3rhhsp.1
title: Datasets of NIRS spectra and Biochar properties actual data

description: This datasets contained Near infrared spectral data as absorbance spectrum for biochar samples produced from agricultural residues. Actual data properties of biochar also available as fixed carbon, volatile matter and ash contents.
DOI: 10.17632/9mwkcwkjh8.1
title: A bibliometric review of global research on management and public policy dataset

description: This research utilizes bibliometric review of global management and public research in 2000-2019, through co-word analysis, co-author analysis, journal analysis, institution analysis, and country analysis. A total of 19,050 bibliographic records from Scopus core collection databases were selected and analyzed. The findings reveal an evolution of the research field on the management and public policy. The purpose of this data article
DOI: 10.17632/s9sdxddnnx.1
title: Labor stressors influencing disability in Adult Attention Deficit/Hyperactivity

description: Objective to investigate the role of social and laboral stress in the functionality and adaptability of adults screened as ADH(+) by the Adult ADHD Self report Scale in different professional settings. Design. We conducted an online survey with convenience sampling about economic and academic performances (dysfunctionality) and self-perception of health problems and work-related subjective suffering (maladaptation), following a screening for ADHD using Adult Self Report Scale (ASRS). The subjects were naïve about the aim of this assessment. Among analyses, we realized a random stratified subsampling to mitigate the bias by convenience sampling. Main Findings. There were 2173 participants, of which 28.06% were ADH(+). Even regarding only subjects with extreme ASRS scores (&lt;1.0 and &gt;2.5), ADH(+) and (-) groups did not shown difference in functionality. We grouped subjects by professional career. The highest ADH(+) prevalence was found in publicity, where almost no difference in subjective suffering between the groups was observed. Conclusions. High ADH(+) prevalence can be due convenience recruitment. Our results indicate that ADH(+) people can show equivalent functionality and adaptability than ADH(-) ones when they live in their preferred labor/social settings, arguing that dysfunctionality and mental suffering in adult ADHD could be secondary to social stress.
DOI: 10.17632/tdws9sdfzz.3
title: Icequakes on the Urumqi Glacier No. 1, China and their relations with solid tide and environmental changes

description: Icequakes, micro-seismicity caused by glacier deformation and motion, provide important information to study glacier dynamics and its responses to environmental changes at various temporal and spatial scales. In this study, we apply a multi-dimensional autoregressive maximum-likelihood algorithm to obtain 12 icequake templates on the Urumqi Glacier No. 1, China, and detect 65,363 icequakes through template matching. Centroid location of the 12 templates indicate that most icequakes are caused by surface crevasses inside the glacier, which are characterized by dominant surface waves. The icequakes show seasonal variation with more events in summer because of faster ice flow due to high temperature and precipitation. In winter, however, the icequakes, on par with those in summer, suggest considerable glacier growth in cold weather. Because of higher ice flow velocity due to low tide, the number of icequakes has two daily peaks which seems to negatively correlate with semi-diurnal solid tide.
DOI: 10.17632/rdwz62m66w.1
title: Complete mitochondrial genome of Scythris sinensis (Lepidoptera: Scythrididae)

description: Phylogenetic tree for Gelechioidea. The tree was constructed using nucleotide sequences of 13 protein-coding genes, two rRNA genes, and 22 tRNA genes via the Bayesian inference method. The numbers at each node indicate the Bayesian posterior probabilities. The scale bar indicates the number of substitutions per site. Two species belonging to the family Gracillariidae in Gracillarioidea were used as outgroups. GenBank accession numbers are as follows: Perimede sp., KJ508041 (Timmermans et al. 2014); Ethmia eupostica, KJ508047 (Timmermans et al. 2014); Helcystogramma macroscopa, KT354968 (Ma et al. 2016); Dichomeris ustalella, KU366706 (Park et al. 2016b); Pectinophora gossypiell, KM225795 (Zhao et al. 2016); Tecia solanivora, KT326187 (Ramírez-Ríos et al. 2016); Mesophleps albilinella, KU366707 (Park et al. 2016b); Promalactis suzukiella, KM875542 (Park et al. 2016c); Stathmopoda auriferella, KX138529 (Jeong et al. 2016); Hieromantis kurokoi, KU605775 (Park et al. 2016a); Atrijuglans hetaohei, KT581634 (Wang et al. 2016); Endrosis sarcitrella, KJ508037 (Timmermans et al. 2014); Oegoconia novimundi, KJ508036 (Timmermans et al. 2014); Phyllonorycter froelichiella, KJ508048 (Timmermans et al. 2014); and Cameraria ohridella, KJ508042 (Timmermans et al. 2014).
DOI: 10.17632/w973rt25pc.1
title: Is White Always the Standard? Replication of Rosette et al. (2008)

description: Raw data, syntax, output and codebooks of Studies 1-4 of replication effort.
DOI: 10.17632/x22mm7bh34.1
title: America Addresses Two Epidemics Dataset – Cannabis and Coronavirus and their Interactions: Combined Geospatial and Causal Inference Study

description: Research Hypothesis - That cannabis may predispose to COVID-19 viral infection due to its immunomodulatory, envorinmental contaminants, vaping and smoking inhalation actions. Data was analyzed by geospatial and causal inference techniques in R. Data was gathered from publicly available on line sources including: Data were downloaded from Publicly available datasets including: • US Census bureau 2019 • Five Year American Community Survey 2013-2018 • National Survey of Drug Use and Health (NSDUH) • NSDUH Resticted Use Data Analysis System (RDAS) • US Department of Transport International Flight Data • Worldometer Covid -19 Dataset Data were collected in the six domains of: • COVID numbers • Fights – numbers of flights and numbers of overseas destionations • Median household income • State ethnic composition • Population and population density • Drug use Inverse probability weights were constructed by inverse probability weighting conducted in package ipw in R. Geospatial weights were constructed in package spdep in R.
DOI: 10.17632/j2ky9mj2bd.1
title: Data for: Psychological Distress, Misconception and Commuting Tendency among Greater Jakarta Area Residents during COVID-19 Pandemic and Community Containment

description: Data acquired from an online survey, conducted from 5-20 May 2020. This data aimed to evaluate psychological wellbeing among Greater Jakarta Area residents using DASS-21, where we implemented linear regression to estimate such score using sociodemographic data. We also addressed misconception regarding COVID-19 and estimate correct / incorrect responses using Poisson regression models. Finally, we confirm the presence of communities with different commuting tendency using a graph-based analysis.
DOI: 10.17632/tmrs92j7pv.6
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since 24th March 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . [Dataset is updated After Thrice a Week]
DOI: 10.17632/f2dpgzb84c.1
title: Full bibliography numbered - MH PRU Covid-19 international document analysis

description: Bibliography for the MH PRU's rapid review and international document analysis of impact of Covid-19 on Mental Health care
DOI: 10.17632/j37gr8585v.1
title: Investigating the damage evolution of sandstone using electrical impedance spectroscopy

description: The data contains all the basic data of this study, including EIS, loading data, CT data.
DOI: 10.5281/zenodo.3870926
title: Spherical harmonic model of the planet Venus: VenusTopo719

description: <strong>VenusTopo719.shape</strong> is a spherical harmonic model of the shape of the planet Venus. This model makes use of 4-pi normalized spherical harmonic functions that exclude the Condon-Shortley phase factor of (-1)<sup>m</sup>. The description of how this spherical harmonic model was constructed can be found in Wieczorek (2015).
description: {"references": ["M. A. Wieczorek, Gravity and Topography of the Terrestrial Planets, Treatise on Geophysics, 2nd edition, Oxford, 153-193, doi:10.1016/B978-0-444-53802-4.00169-X, 2015."]}
DOI: 10.17632/drkpr3mhpx.1
title: Management options against pod borer (Maruca testulalis Geyer) and pod sucking bugs (Riptortus dentipes) of Cowpea (Vigna unguiculata (L.) Walp.)

description: The data depicts the effect and efficacy of different treatments on pod borer and pod sucking bugs of cow pea. Spinosad was the most effective among all the treatments.
DOI: 10.17632/mhjyy5xv4z.1
title: Psychometric Properties and Cut-Off Points of Persian Version of PPRI 12-Items among Older Veterans in Iran

description: Background: Aging and retirement are a passaging to a new course of life for veterans. Population aging has made significant changes in the composition of families and it affects the health of the family members. The role of army grandparents in relationships with their adult children is important in providing for their living needs and the need for research into grandparent-adult children interactions during retirement. There was no Iranian version of an instrument to measure this interaction. Therefore, the study was aimed to evaluate the psychometric properties of the Persian version of the Perceived Parenting Roles Inventory (PPRI-2019). Methods. The process of translating was conducted based on WHO’s guidance of instruments translation and adaptation. A total of 251 grandparents were randomly selected from Iranian Veterans Association. The PPRI and demographic questionnaire were used to gather data at the end of 2019. The scale structure was evaluated by using confirmatory factor analysis (CFA). Internal consistency was assessed by Cronbach’s alpha and the optimal cut-off points were obtained by calculating the area under the curve (ROC). Data were analyzed using IBM-SPSS version 26 and AMOS version 24 Results: The construct validity of PPRI based on CFA showed that the two subscales explained a total of 73.017 % of the variance. The PPRI scale demonstrated excellent reliability and the Cronbach’s alpha obtained 0.792 for the entire scale (p&lt; 0.000). The optimal cut-off point of PPRI was 19.50, with a sensitivity of 100%, a 1-specificity of 0.127. Conclusions: Based on the results, the Persian version of PPRI is a valid and reliable tool that can be utilized by other researchers to measure perceived parenting roles. But further investigations are suggested.
DOI: 10.17632/tpnpn4nxb2.1
title: CooperationRoleDivision

description: The current data of research "Peripheral members create and core members support: Role comparison of different positions in cooperation network during creative behaviour cooperation" The file included two parts: the data used to draw the figures and the raw data of the current analysis. The description of the raw data can be found in the "Description.txt" file in every folder.
DOI: 10.5281/zenodo.3870931
title: predicted microRNA target sites (miRanda)

description: Target predictions based on the miRanda algorithm. The target sites are scored for likelihood of mRNA downregulation using mirSVR, a regression model that is trained on sequence and contextual features of the predicted miRNA::mRNA duplex. Expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This collection contains the following datasets from the August 2010 release of microRNA.org: 16228619 predicted microRNA target sites in 34911 distinct 3'UTR from isoforms of 19898 human genes 7459149 predicted microRNA target sites in 28287 distinct 3'UTR from isoforms of 19231 mouse genes 586068 predicted microRNA target sites in 6865 distinct 3'UTR from isoforms of 6256 rat genes 345671 predicted microRNA target sites in 12285 distinct 3'UTR from isoforms of 10532 fruitfly genes
description: This collection was created to provide machine-access to the uncompressed version of the datasets available at microrna.org.
description: {"references": ["Betel D, Koppal A, Agius P, Sander C, Leslie C. Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome Biology 2010 11:R90"]}
DOI: 10.5281/zenodo.3870932
title: predicted microRNA target sites (miRanda)

description: Target predictions based on the miRanda algorithm. The target sites are scored for likelihood of mRNA downregulation using mirSVR, a regression model that is trained on sequence and contextual features of the predicted miRNA::mRNA duplex. Expression profiles are derived from a comprehensive sequencing project of a large set of mammalian tissues and cell lines of normal and disease origin. This collection contains the following datasets from the August 2010 release of microRNA.org: 16228619 predicted microRNA target sites in 34911 distinct 3'UTR from isoforms of 19898 human genes 7459149 predicted microRNA target sites in 28287 distinct 3'UTR from isoforms of 19231 mouse genes 586068 predicted microRNA target sites in 6865 distinct 3'UTR from isoforms of 6256 rat genes 345671 predicted microRNA target sites in 12285 distinct 3'UTR from isoforms of 10532 fruitfly genes
description: This collection was created to provide machine-access to the uncompressed version of the datasets available at microrna.org.
description: {"references": ["Betel D, Koppal A, Agius P, Sander C, Leslie C. Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome Biology 2010 11:R90"]}
DOI: 10.21227/3nhr-fh30
title: EnergyNow | IoT aplicada ao fomento da Indústria 4.0

description: A Indústria enfrenta desafios graves e fracassa sem competitividade. Atacando esta problemática, conferiu-se o oferecimento de maior eficiência a processos industriais para promover a produtividade, elevar a qualidade e impulsionar mudanças. A solução desenvolvida incluiu dispositivos com sensores não invasivos, simples de instalar, que contabilizam os itens sendo transportados em linhas de produção. De qualquer lugar e em tempo real, a plataforma conectada permite acesso a informações claras e confiáveis sobre a produtividade, mostram indicadores e métricas em gráficos com design intuitivo que aceleram a tomada de decisão. O profissional certo recebe alertas para resolver problemas específicos e algoritmos avançados apontam quando máquinas ou equipamentos possam interferir na produtividade. Acompanhando as tendências de digitalização de processos na manufatura avançada e da Indústria 4.0, o impacto compreende um mercado-alvo inicial de mais de seis mil fábricas; na região nordeste, o mercado possível tem mais de 75.000 fábricas; e o mercado disponível no Brasil soma mais de 600.000 fábricas. De fato, atendendo a um segmento que movimenta 907 bilhões de dólares no mundo. Com um modelo de acesso flexível, nas implantações, permite que seja possível incorporar evoluções contínuas dos serviços, com a adesão incluindo instalação dos dispositivos e treinamento especializado. A equipe dedicada tem ampla competência em uma variedade de metodologias de desenvolvimento de tecnologia, oportunamente, dispondo de engenheiros eletricistas e de produção, gerentes administrativos e de TI, arquitetos de nuvem, designer industrial, desenvolvedores full-stack, cientistas de dados especializados em inteligência artificial, além de consultores em produtividade. A proposição de valor do projeto tornou viável o fornecimento de uma solução de gerenciamento baseada em Internet das Coisas para impulsionar a produtividade, melhorar a competitividade e maximizar a eficiência da Indústria 4.0.
DOI: 10.17632/z5mhfckr29.1
title: TRACES pilot pharmacokinetic study

description: This dataset summarizes raw data used to build the pharmacokinetic model. Patients were included if they were undergoing haemorrhagic cesarean section (blood loss &gt; 800 mL) and receiving a single i.v dose of TA (0.5, 1 or 2 g over 1 minute). Non-inclusion criteria used were presented in the TRACES pilot study protocol.[1] The blood TDM samples were obtained from our patients at T0 (inclusion time, when bleeding ≥ 800 mL is diagnosed), T1 (at the end of injection), T15, T30, T60, T120, T180, and T360 (defined as 15, 30, 60, 120, 180 and 360 min after the injection). The urinary samples were collected within 6 hours after treatment.
DOI: 10.25345/c5qt3f
title: MassIVE MSV000085520 - UPLC-TripleTOF-MS analysis of Zaojiao fruits
title: Zaojiao fruit is an edible Chinese herbal product, originated from Gleditsia sinensis. We employed UPLC-MS/MS technology to analysis its chemical constituents.
DOI: 10.21227/2e1c-rd87
title: Data Rate Performance Measurements of NFV Cloud Native Scaling for a Media Application

description: This dataset accompanies a paper that discusses the advantages of a 3GPP-compliant service-based architecture platform that demonstrates the concept of cloud-native service orchestration and routing for a media vertical sector application. Cloud-native service orchestration and routing is a complete end-to-end approach that enables virtualisation and management of multiple layers in the OSI model, which provides considerable flexibility and control to achieve delivery of QoS to users in the face of varying demand, at reasonable cost. The discussion is motivated by a customer-facing trial conducted in Bristol, UK where the platform was deployed as virtual network functions and the vertical service using the cloud-native orchestrator. The architecture of the system is presented, together with an exemplary media application illustrating the benefits of dynamic control of the whole service function. Three scenarios are described: a baseline case, where a single service instance handles requests from multiple clients at different locations, which can become overloaded with a consequent degradation in user experience; a static horizontally scaled-out service scenario, where service instances serving content are placed closest to users on edge hosts with associated performance gains in terms of reduced response time and networking costs, but with increased hosting costs; and a dynamically-managed horizontal scaling case, where storage service instances are enabled automatically based on location-specific demands when needed. It is illustrated that dynamic service instances based on sensing QoS metrics provides an opportunity to achieve a balance between user experience benefits of edge service provisioning and acceptable costs through avoiding waste of cloud resources at the edge.
DOI: 10.21227/4wpd-me36
title: Data Rate Performance Measurements of NFV Cloud Native Scaling for a Media Application

description: This dataset accompanies a paper that discusses the advantages of a 3GPP-compliant service-based architecture platform that demonstrates the concept of cloud-native service orchestration and routing for a media vertical sector application. Cloud-native service orchestration and routing is a complete end-to-end approach that enables virtualisation and management of multiple layers in the OSI model, which provides considerable flexibility and control to achieve delivery of QoS to users in the face of varying demand, at reasonable cost. The discussion is motivated by a customer-facing trial conducted in Bristol, UK where the platform was deployed as virtual network functions and the vertical service using the cloud-native orchestrator. The architecture of the system is presented, together with an exemplary media application illustrating the benefits of dynamic control of the whole service function. Three scenarios are described: a baseline case, where a single service instance handles requests from multiple clients at different locations, which can become overloaded with a consequent degradation in user experience; a static horizontally scaled-out service scenario, where service instances serving content are placed closest to users on edge hosts with associated performance gains in terms of reduced response time and networking costs, but with increased hosting costs; and a dynamically-managed horizontal scaling case, where storage service instances are enabled automatically based on location-specific demands when needed. It is illustrated that dynamic service instances based on sensing QoS metrics provides an opportunity to achieve a balance between user experience benefits of edge service provisioning and acceptable costs through avoiding waste of cloud resources at the edge.