cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/4c02-3q98
title: Energy Management for EV Charging in Software-Defined Green Vehicle-to-Grid Network

description: Vehicle-to-grid (V2G) networks are expected to balance the supply and demand in smart grid by reducing the peak-to-average ratio of power grid load curve. We are entering the era of wireless communication, where we can enjoy various advantages such as lower cost, lower battery consumption, and lower access latency. We believe advanced wireless communication techniques have great potential to further promote the economical deployment of V2G network and lower energy consumption. In this article, we address the green V2G network for efficient energy management. However, we still face many challenging issues even if we exploit the promising wireless communication technique in green V2G networks. For example, it becomes more and more challenging to achieve the efficiency and economy of renewable energy resource allocation due to the increasing number of electric vehicles and limited capacity of local aggregators (LAGs). To address the issues, we consider a software-defined green V2G network for energy management, which consists of three planes: management plane, control plane, and data plane. Specifically, the control plane is aimed at guiding both data flow and energy flow to implement an efficient and economic strategy for energy scheduling, while the data plane collects the information through LAGs for the customized services in the management plane. Additionally, we present an energy management scheme of charging stations as a case study. Simulation results reveal that our proposals could achieve delightful performance on global optimization in the software-defined green V2G network.
DOI: 10.21227/9za0-9a16
title: Energy Management for EV Charging in Software-Defined Green Vehicle-to-Grid Network

description: Vehicle-to-grid (V2G) networks are expected to balance the supply and demand in smart grid by reducing the peak-to-average ratio of power grid load curve. We are entering the era of wireless communication, where we can enjoy various advantages such as lower cost, lower battery consumption, and lower access latency. We believe advanced wireless communication techniques have great potential to further promote the economical deployment of V2G network and lower energy consumption. In this article, we address the green V2G network for efficient energy management. However, we still face many challenging issues even if we exploit the promising wireless communication technique in green V2G networks. For example, it becomes more and more challenging to achieve the efficiency and economy of renewable energy resource allocation due to the increasing number of electric vehicles and limited capacity of local aggregators (LAGs). To address the issues, we consider a software-defined green V2G network for energy management, which consists of three planes: management plane, control plane, and data plane. Specifically, the control plane is aimed at guiding both data flow and energy flow to implement an efficient and economic strategy for energy scheduling, while the data plane collects the information through LAGs for the customized services in the management plane. Additionally, we present an energy management scheme of charging stations as a case study. Simulation results reveal that our proposals could achieve delightful performance on global optimization in the software-defined green V2G network.
DOI: 10.21227/80f6-9h39
title: Sensor Fault Detection, Isolation and Identiﬁcation Using Multiple Model-based Hybrid Kalman Filter for Gas Turbine Engines*

description: In this paper, a novel sensor fault detection, isolation and identiﬁcation (FDII) strategy is proposed by using the multiple model (MM) approach. The scheme is based on multiple hybrid Kalman ﬁlters (HKF) which represents an integration of a nonlinear mathematical model of the system with a number of piecewise linear (PWL) models. The proposed fault detection and isolation (FDI) scheme is capable of detecting and isolating sensor faults during the entire operational regime of the system by interpolating the PWL models using a Bayesian approach. Moreover, the proposed multiple HKF-based FDI scheme is extended to identify the magnitude of a sensor fault by using a modiﬁed generalized likelihood ratio (GLR) method which relies on the healthy operational mode of the system. To illustrate the capabilities of our proposed FDII methodology, extensive simulation studies are conducted for a nonlinear gas turbine engine. Various single and concurrent sensor fault scenarios are considered to demonstrate the effectiveness of our proposed on-line hierarchical multiple HKF-based FDII scheme under different ﬂight modes. Finally, our proposed HKF-based FDI approach is compared with various ﬁltering methods such as the linear, extended, unscented and cubature Kalman ﬁlters (LKF, EKF, UKF and CKF, respectively) corresponding to both interacting and non-interacting multiple model (MM) based schemes. Our comparative studies conﬁrm the superiority of our proposed HKF method in terms of promptness of the fault detection, lower false alarm rates, as well as robustness with respect to the engine health parameters degradations.
DOI: 10.5281/zenodo.3665280
title: MiRoR5 - P2- Overcoming Barriers to Mobilizing Collective Intelligence in Research: Qualitative Study of Researchers With Experience of Collective Intelligence.

description: Anonymised data of respondents to an open-ended online survey on their experience with collective intelligence
DOI: 10.17632/wybbtfwcmb.1
title: Data for: Language disintegration in spontaneous speech in Huntington’s disease: fine-graining the linguistic-cognitive profile

description: Anonymised data test for all linguistic and neuropsychological variables used in the analysis of the above paper.
DOI: 10.5281/zenodo.3665281
title: List of licenses discovered in the study of Potential Code Borrowing and License Violations in Java Projects on GitHub

description: This is the list of licenses discovered in the study of Potential Code Borrowing and License Violations in Java Projects on GitHub. The licenses are ranged by the amount of files that they cover, there are a total of 94 different licenses. Where possible, the names are presented as identifiers at https://spdx.org/licenses/. "GitHub" stands for no license in the file or the project.
DOI: 10.5281/zenodo.3665282
title: List of licenses discovered in the study of Potential Code Borrowing and License Violations in Java Projects on GitHub

description: This is the list of licenses discovered in the study of Potential Code Borrowing and License Violations in Java Projects on GitHub. The licenses are ranged by the amount of files that they cover, there are a total of 94 different licenses. Where possible, the names are presented as identifiers at https://spdx.org/licenses/. "GitHub" stands for no license in the file or the project.
DOI: 10.17632/gnhjwsf6jf.1
title: Thermal and optical behaviour data of surfaces coated with high reflectance and common materials used in Brazil under different conditions

description: This dataset contains raw temperature measurement data of external, internal surfaces and air in the interior of a structure under different conditions. It has also surface thermographic images of different types of coatings and diffuses reflectance data for these materials. It has amplified images of the surfaces.
DOI: 10.17632/twfrzb95y9.1
title: Criterion of non monotonic magnetic relaxation

description: Origin 7.0 OPJ files for magnetic relaxations in the samples with thicknesses of thin layer tCo = 0.60 nm, 0.80 nm, 1.00 nm, hysteresis loops for all samples at various temperature and statistics of stochastically deeps on hysteresis loops obtained by MOKE technique.
DOI: 10.17632/x3tbphp6yn.2
title: Data for: Pavement Management Systems for Airports: a machine learning-based procedure for modeling runway friction decay

description: Nameplate data, configurations, and performance data for the spectrum of the 72 aircraft from 2004 to 2015
DOI: 10.17632/xfzjgct67v.2
title: Data for: Pavement Management Systems for Airports: a machine learning-based procedure for modeling runway friction decay

description: Database (92 alignments of raw data, which refer to 23 surveys made from 2004 to 2015)
DOI: 10.17632/288fj3gkkk.3
title: Data for: Pavement Management Systems for Airports: a machine learning-based procedure for modeling runway friction decay

description: Excerpt of the traffic data calculated using the estimates of the above weights in [kg], referring to the period between the surveys of 7/22/2009 and 10/14/2009
DOI: 10.17632/d7p7hk3zzv.1
title: Data belonging to: "Organization of the Escherichia coli chromosome by a MukBEF axial core."
DOI: 10.17632/288fj3gkkk.2
title: Data for: Pavement Management Systems for Airports: A broad-based procedure for monitoring and predicting runway friction decay

description: Excerpt of the traffic data calculated using the estimates of the above weights in [kg], referring to the period between the surveys of 7/22/2009 and 10/14/2009
DOI: 10.17632/t654gx7z74.3
title: Fish density estimation using unbaited cameras: accounting for environmental-dependent detectability.

description: Data from underwater video cameras and underwater visual census to obtain real fish densities considering the habitat characteristics in the individual detectability. In addition, simulation for demonstrating (1) how to calibrate the cameras for accounting for the effects of an "external" continuous variable on detectability and (2) how to apply such a cameras calibration for estimate fish density at new sites.
DOI: 10.17632/m3kg8p8cxf.1
title: Deep Learning-Based Style Transfer from Ultra-Widefield to Traditional Fundus Photography

description: This study included 368 anonymized UWF and 619 FP images. The ultra-widefield (UWF) images, which include both normal and pathologic retinal images, were based on Tsukazaki Optos Public Project. The traditional fundus photograph (FP) images were extracted from the publicly accessible database by using the Google image and Google dataset search that included English keywords related to retina. The search strategy was based on the following key terms: “fundus photography”, “retinal image”, and “fundus dataset”. The images were manually reviewed by two board-certified ophthalmologists, and blurred and low-quality images were removed to clarify the image domains. Duplicated images were also removed. Consequently, 368 images with artifacts and 619 images without artifacts were collected. The UWF images were cropped and masked after registration for CycleGAN.
DOI: 10.6084/m9.figshare.11835804.v12
title: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 1pctCO2 experiment r1i1p1f1

description: Simulated spectrum peak wave period (3-hourly, 150a) from FIO-ESM v2.0 1pctCO2 experiment (CO2 prescribed to increase at 1% per year) r1i1p1f1, which is branch from Jan 1, 301 of piControl experiment. The grid, named gx1v6, is the displaced pole (the North Pole displaced to the Greenland) grid with 1.1 degree in longitude and 0.27-0.54 degree in latitude.
DOI: 10.17632/5kdpm6z49y.1
title: Sawfish, Read in Tooth and Saw: Data
DOI: 10.17632/7kxwv8mtbp.3
title: cloud influence on UCRB runoff

description: Excel file for GRL paper consisting of 4 pages
DOI: 10.17632/wj6bgxxfd4.1
title: Glia promote synaptogenesis through an IQGAP PES-7 in C. elegans

description: Synapses are essential for the function of the nervous system. Glia play an important role in regulating synaptic formation. To address how glia regulate synaptic development, we use cima-1 mutant C. elegans as an in vivo model. In this data set, we provided data that support 1) Rho GTPase CDC-42 and IQGAP PES-7 are required in presynaptic neurons for VCSC glia-induced presynaptic formation; 2) cdc-42 and pes-7 are also required for normal synaptogenesis during postembryonic developmental stages; 3)PES-7 activated by CDC-42 promotes presynaptic formation most likely through regulating F-actin assembly.
DOI: 10.17632/2vn45wpddn.1
title: Ginger essential oil weight yield and chemical composition yield data

description: 1. Raw data of hydro-distilled ginger essential oil (GEO) weight yeilds 2. Raw data of GLC chemical intensities of chemical compounds in GEO 3. Gas chromatography profiles/ Typical ginger chromatography profile 4. Statistical analysis files 5. Statistical analysis main out puts 6. Clavenger light oil arm illustration
DOI: 10.17632/vxxxc7z9nz.1
title: Raw, uncropped supporting Western blot files for: Reynders M. et al. ... Pagano M. and Trauner D., PHOTACs enable optical control of protein degradation. Science Advances 2020
DOI: 10.17632/zn5s3n5y9z.1
title: INTERSECCIONALIDADE NAS PUBLICAÇÕES DOS ENCONTROS DA ASSOCIAÇÃO NACIONAL DE PÓS-GRADUAÇÃO E PESQUISA (EnAnpad)

description: O foco central desta pesquisa está em identificar a existência (ou não) de uma perspectiva interseccional nas pesquisas científicas apresentadas nos encontros da EnAnpad ao longo dos anos. Para tanto, não seria suficiente procurar apenas pela palavra “interseccional/interseccionalidade” nos trabalhos, mas, sim, levando em conta as considerações teóricas, avaliar se temas intersseccionais tem sido incorporadas nos trabalhos apresentados. Realizou-se uma avaliação qualitativa por meio da leitura de todos os títulos de todos os trabalhos apresentados no encontro dentro desde 1997 até o ano de 2018 e disponíveis na página da internet do evento, totalizando 16.690 títulos avaliados. A classificação dos títulos consistiu-se em um trabalho qualitativo objetivando a a identificação de termos associados aos seguintes eixos temáticos: 1) Gênero; 2) Raça; 3) Classe; 4) Sexualidade. A pesquisa aqui apresentada deve ser interpretada como um esforço exploratório e de mapeamento de um campo, procurando desde uma abordagem critica elaborar um quadro geral. Assim, a divisão em eixos temáticos consiste em uma estratégia de classificação dos trabalhos de pesquisa e possui duas limitações principais: A primeira, ligada ao fato de que as classificações foram realizadas à partir (e apenas) pelos títulos. A segunda, é fruto da natureza qualitativa do trabalho e de que a classificação nos eixos decorreu da perspectiva analítica das pesquisadoras. Em alguns casos, a leitura do resumo do trabalho foi necessária para a classificação, mas como um complemento e ratificação das classificações. Por meio da leitura dos títulos e sua classificação buscou-se traçar um quadro inicial sobre como gênero e seus intercruzamentos com classe, raça e sexualidade tem sido mobilizado na produção do conhecimento oriundo de pesquisas apresentadas nos encontros da EnAnpad. Tendo em vista a proposta da pesquisa, gênero foi o eixo central para a seleção dos trabalhos para então, a classificação e identificação dos demais eixos e seus intercruzamentos. Entre 1997 e 2018 foram apresentados 16.680 trabalhos na EnAnpad. Desse total foram encontrados 401 trabalhos em cujo os títulos tenham palavras relacionadas aos eixos da pesquisa: Gênero, Raça, Classe, Sexualidade. A perspectiva interseccional pressupõe o intercruzamento de fatores e categorias para o entendimento de realidades sociais específicas e desiguais, de tal forma que pesquisas que tratem de apenas um dos eixos temáticos não podem ser classificadas como pesquisas interseccionais. Não é possível afirmar de forma conclusiva que os trabalhos que mobilizam mais de um eixo, de fato, adotem uma perspectiva teórica interseccional, visto que para uma avaliação mais profunda seria necessário uma análise da bibliografia citada além de uma leitura dos argumentos mobilizados em cada pesquisa, uma vez que o compromisso com a interseccionalidade vai além de cruzamento de categorias
DOI: 10.5281/zenodo.3665302
title: MiRoR5 - P1 - A scoping review provided a framework for new ways of doing research through mobilizing collective intelligence

description: Data of scoping review on methods of mobilizing collective intelligence includes list of included articles, data extraction form, spreadsheet of data extracted and R script for data analysis
DOI: 10.17632/zb6mnt2gsy.1
title: Simulation code and data set for article "Introducing Word's Importance Level-Based Text Summarization Using Tree Structure", International Journal of Information Retrieval Research (IJIRR), 10 (1), 13-33, 2020.
DOI: 10.5281/zenodo.3665296
title: Entrevistas transcritas

description: Entrevistas semiestruturadas transcritas e posteriormente analisadas pelo método de análise de conteúdo temático proposto por Laurence Bardin, que resultou na dissertação de mestrado "Hoje é dia de Branco": a branquitude de médicos de família de Juiz de Fora - MG e a equidade racial no cuidado em saúde.
DOI: 10.5281/zenodo.3665297
title: Entrevistas transcritas

description: Entrevistas semiestruturadas transcritas e posteriormente analisadas pelo método de análise de conteúdo temático proposto por Laurence Bardin, que resultou na dissertação de mestrado "Hoje é dia de Branco": a branquitude de médicos de família de Juiz de Fora - MG e a equidade racial no cuidado em saúde.
DOI: 10.17632/3ryv69dkhx.1
title: Data on the impact of Bitcoin price volatility on altcoin pricing

description: The paper presents data used to calculate the effect of Bitcoin’s price volatility on altcoin pricing for the period from December 2018 to December 2019. Particularly, the analysis includes data on the price for the following cryptocurrencies: Bitcoin, Litecoin, Ethereum, Bitcoin Cash, Dash and Monero. The data covers a total of one year and includes results of the coefficient of averages indicator, which is calculated for each altcoin individually with the use of data on the average growth rates and average decline rates of cryptocurrencies in relation to Bitcoin prices. Table 1 presents data on the correlation values of the selected cryptocurrencies to each other. Figure 2 is based on the data from Table 2, with the exception of altcoins’ correlation values. Based on the calculated average growth rates and average rates of decline of Litecoin, Table 2 presents statistical values of the relationship between Litecoin prices and Bitcoin prices. The diagram presented if Figure 3 is a visual representation of the data obtained from Table 2. Table 3 offers the end-result of the conducted analysis, which includes the values of the average positive and average negative indicators, the maximum and minimum indicators, and coefficient of averages indicators for the sampled cryptocurrencies. Figure 4 is a visualization of the end-result data.
DOI: 10.17632/zb6mnt2gsy.2
title: Simulation code and data set for article "Introducing Word's Importance Level-Based Text Summarization Using Tree Structure", International Journal of Information Retrieval Research (IJIRR), 10 (1), 13-33, 2020.
DOI: 10.17632/kft46wt5g6.1
title: RIOK3

description: Riok3 Inhibits the Antiviral Immune Response via Facilitating TRIM40-mediated RIG-I and MDA5 Degradation
DOI: 10.17632/k872jmjtgv.1
title: Common neuronal mechanisms underlying tics and hyperactivity

description: Study data and code used in the article "Common neuronal mechanisms underlying tics and hyperactivity" (Israelashvili et al., under review)
DOI: 10.17632/c28wbstg29.1
title: Twitter Data for Hurricane Harvey_4 Fridays in August 2017

description: Raw tweets of 4 Fridays in August 2017. This data has been gathered through Twitter API which covers a sample of all tweets available on Fridays 4, 11, 18 and 25 August 2017.
DOI: 10.17632/jm9mdznknf.1
title: Data on landlords decisions about their renters

description: This file includes data collected through a questionnaire technique in the city of Sarpol Zahab in 2019, two years after a massive earthquake. The questionnaire was distributed among those landlords who finished the reconstruction/repair of their buildings. Data on 142 rental units was collected and analysed, using the R software. For answering the question of which factors led the landlord to evict a renter, a logistic regression model was adopted. As dependent variables, 0 represented rental units where renters stayed and 1 where they had to leave. explanatory variables included: landlord's investment; number of rental units she/he owned; pre-earthquake rent; pre-earthquake renter's relationship with landlord; post-earthquake renter's social relationship with landlord; the level of damage to the unit; and neighbourhood housing price. For addressing the question of what factors affected the decision of landlords about the rental price, multivariate regression model was used. explanatory variables included pre-earthquake rent; investment of the landlord; number of rental unit he/she owned; pre-earthquake ad post-earthquake renter's relationship with the landlord; the rental unit's level of damage.
DOI: 10.17632/y5nhpv6ntv.1
title: Manuscript

description: Determining how the Hermanson's spatial dependent dielectric function affect the total energy of quantum dots.
DOI: 10.17632/f27ktnj354.1
title: Data accompanying "NAD+ repletion rescues female fertility during reproductive ageing" by Bertoldo et al 2019

description: Hyperspectral imaging data, uncut western blots, xml files for statistical analyses and raw data sets, mass spectrometry datasets, uncropped microscopy images
DOI: 10.17632/ck4kvbycfx.1
title: Time-dependent heat budget of a thrust from geological records and numerical experiments - Dataset

description: Data from microthermometric, geochemical analyses on fault rocks from Monte Frontè Thrust zone (Alps).
DOI: 10.17632/3ryv69dkhx.2
title: Data on the impact of Bitcoin price volatility on altcoin pricing

description: The paper presents data used to calculate the effect of Bitcoin’s price volatility on altcoin pricing for the period from December 2018 to December 2019. Particularly, the analysis includes data on the price for the following cryptocurrencies: Bitcoin, Litecoin, Ethereum, Bitcoin Cash, Dash and Monero. The data covers a total of one year and includes results of the coefficient of averages indicator, which is calculated for each altcoin individually with the use of data on the average growth rates and average decline rates of cryptocurrencies in relation to Bitcoin prices. Table 1 presents data on the correlation values of the selected cryptocurrencies to each other. Figure 2 is based on the data from Table 2, with the exception of altcoins’ correlation values. Based on the calculated average growth rates and average rates of decline of Litecoin, Table 2 presents statistical values of the relationship between Litecoin prices and Bitcoin prices. The diagram presented if Figure 3 is a visual representation of the data obtained from Table 2. Table 3 offers the end-result of the conducted analysis, which includes the values of the average positive and average negative indicators, the maximum and minimum indicators, and coefficient of averages indicators for the sampled cryptocurrencies. Figure 4 is a visualization of the end-result data.
DOI: 10.17632/h8vxj78pm9.2
title: Structural attributes, locational information and prices of 139750 apartment real estate listings in the city of Tehran, Iran

description: The dataset contains structural attributes, locational information and prices for more than 139 thousand apartments in the city of Tehran (Iran). The data was collected from the largest national real estate website using a web crawler. It contains submission date, exact location, neighborhood name, base area, floor level, age of building, price per square meter, and total price for the entries of the past four years.
DOI: 10.17632/5934h53htv.1
title: High Quality Scientific Outputs of Islamic Countries

description: my data is confidential for Elsevier because, it is my articles data
DOI: 10.17632/hx92v9jtm2.1
title: Cohesin causes replicative DNA damage by trapping DNA topological stress. Minchell et al

description: Individual 2D Southern blots, data of which was used in Figure 7, S6 and S7 of the paper Cohesin causes replicative DNA damage by trapping DNA topological stress. Figure S6 uses data from Figure 7.
DOI: 10.17632/phn96mbtzr.1
title: Masterarbeit

description: Cyber attacks