cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8n2ymkttkp.1
title: Mr. Gerson Tapia Nieto

description: This research aims to measure the level of Building Information Modeling (BIM) adoption in urban building projects in Lima city and Callao by the end of 2017. This level helped us to determine in what category of adopter Lima city, Peru most important city in terms of urban buildings, is located according to the Diffusion of Innovations theory: innovators, early adopters, early majority, late majority or laggards (Rogers, 2003) The level of adoption is estimated through sampling principles and the population data (N=1218) can be found in the publication “Urban buildings market in Lima city and Callao 2017: edition 22” (CAPECO, 2017). The survey (docx file) is divided in five sections: general data of the interviewee, BIM perception, BIM acceptance, BIM adoption and general data of the project. The final data (xlsx file) provides the results of the survey that was answer by 323 professionals related to the building industry (Civil engineers, architects and others) and each answer corresponded to a unique project. As it was mentioned the population was based on all new urban building projects in the geographical area of study and under construction process during the period of data collection. A project was considered under construction process when it was found at the beginning of earthworks or preliminary works until the delivery of the unoccupied project. In addition, remodeling projects that involved expanding their built-up area were also considered, but this expansion had to be at least 500 sm. On the other hand, all single family houses and multi-family buildings that do not had a public construction license were excluded. The data collection was carried out by a research manager and two research assistants. Each research assistant was assigned a certain number of clusters within the designed sample. The sampling frame used in this research is one of an area type which are geographical surfaces well-defined. These surfaces are clusters and in this case were districts of Lima city and Callao. The data collection was taken from October to December of 2017. The method to reach the sample size (n=323) was through an emailed virtual survey (52 answers) and by visiting building projects site (271 answers). Projects visited were found aleatory, with the only requirement to be inside a designed sample cluster. It has been considered that a project has adopted BIM if it has used any of its applications: 3D models visualization; 3D modeling; material quantification and budgets made from 3D models; structure, MEP or HVAC model coordination; 4D construction simulation; control of construction progress with BIM; procurement of precast components; or the generation of 2D drawings from 3D models. The main notable finding is that the BIM adoption level in urban building projects in Lima city and Callao in 2017 was 21.6% (70/323), which places this analyzed region in the category of “early majority” adopters (Rogers, 2003).
DOI: 10.17632/t576ydh9v8.1
title: Cracks and Potholes in Road Images

description: This database contains images of defects in paved roads in Brazil. The database was developed using images provided by DNIT (National Department of Transport Infrastructure), through the Access to Information Law - Protocol 50650.003556 / 2017-28. The database contains: * 2235 images from highways in the states of Espirito Santo, Rio Grande do Sul and the Federal District, caught between 2014 and 2017; and * Each image has 3 masks - binary images in png format - separated for each type of annotation: road, crack and pothole. The annotation of the road consisted of demarcating the total region corresponding to the vehicle's road. The annotation of cracks and potholes consisted of the selection of the defect as a whole, maintaining its shape as much as possible.
DOI: 10.17632/c8fzztg59w.1
title: data availability for journal of energy policy

description: The hypotheses in this study are as follow: a. As a result of central government policy implementation, that total SO2 emissions in Jakarta from 2000 to 2007 will increase. b. The Jakarta RUED-P scenario and central government policy implementation show that the total SO2 emissions from 2015 to 2050 in Jakarta will increase. c. According to the Jakarta RUED-P scenario, oil consumption will decrease, coal, and natural gas consumption will increase (Department of Industry and Energy of Jakarta Province, 2018). Coal’s primary energy is higher than natural gas in the 2050 energy mix (Department of Industry and Energy of Jakarta Province, 2018) in Jakarta. We can reduce total SO2 gas emissions in Jakarta from 2020 to 2050 by reducing the amount of sulfur in coal each year. This research has proven the first hypothesis. The first hypothesis, i.e., the implementation of central government policy, is that total SO2 emissions in Jakarta from 2000 to 2007 would rise. Likewise, with this study, the second hypothesis has been proven. The second hypothesis is the result of the Jakarta RUED-P scenario that total SO2 emissions from 2015 to 2050 in Jakarta will rise. Furthermore, in this study, the third hypothesis has been proven too. The third hypothesis is that we can reduce total SO2 emissions in Jakarta from 2020 to 2050 by reducing the amount of sulfur in coal each year. The data processing result showed that the first and second hypotheses are proven. The notable finding of this study is reducing total SO2 emission by reducing sulfur in coal. After calculating SO2 emission from its sources, we can plot SO2 emission versus year. From the resulted graph, we can understand the trend of the graph whether an increase or not. Data is fuel consumption, agricultural production, industrial goods products, municipal solid waste products, number of asphalt used, the average number of cigarettes smoked, production of crude oil and natural gas, number of motorized vehicles, population, Gross Domestic Product, area of burnt areas in Jakarta, SOx or SO2 emission coefficients, the sulfur content in fuel according to the government policy in Indonesia. These data were gathered from the book of "Jakarta in Figure", "Environment Statistics of Indonesia", " Basic Health Research", "Electricity Statistics", " Handbook of Indonesian Energy Economy Statistics 2004", "Handbook of energy & economic statistics of Indonesia", the results of data requests to the Jakarta Province's industry and energy department, Pertamina Marketing Operation Region III, the General Directorate of Oil and Gas of the Indonesia Republic, the web site of Jakarta province official portal, AP-42 Fifth edition. Anyone can get SO2 emission by multiplying the rate of activity with the emission factor. Here, the rate of activity is fuel consumption, and so on.
DOI: 10.17632/7x3x9sr2m5.3
title: Geosteering capability of the novel transient multicomponent electromagnetic logging while drilling method

description: The present dataset includes data and figures related to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.
DOI: 10.17632/3x39fjn945.2
title: Dataset and analysis conducted for the study: Factors associated with university and hospital mistreatment in medical students from seven Latin American countries

description: This is the analysis conducted and dataset for the study entitled "Factors associated with university and hospital mistreatment in medical students from seven Latin American countries".
DOI: 10.17632/pwnmg77wmb.2
title: Multivalent proteins rapidly and reversibly phase-separate upon osmotic cell volume change

description: Raw fluorescence images from figures in 2020 paper "Multivalent proteins rapidly and reversibly phase-separate upon osmotic cell volume change".
DOI: 10.17632/xvtr2js834.3
title: Modeling and pseudo-inversion of transient multicomponent electromagnetic logging while drilling measurements

description: The present dataset includes data and figures related to the submitted paper " Modeling and pseudo-inversion of transient multicomponent electromagnetic logging while drilling measurements " currently under review in Journal of Petroleum Science & Engineering.
DOI: 10.17632/2h87rzyjxn.1
title: Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance

description: Datasets related to this article.
DOI: 10.17632/2h87rzyjxn.2
title: Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance

description: Datasets related to this article.
DOI: 10.17632/2h87rzyjxn.3
title: Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance

description: Datasets related to this article.
DOI: 10.17632/2h87rzyjxn.4
title: Coordinated Control Strategy of Virtual Synchronous Generator Based on Adaptive Moment of Inertia and Virtual Impedance

description: Datasets related to this article.
DOI: 10.17632/n6m7rhct2h.1
title: Data for Certified Foods Dyes in Over the Counter Medicines and Supplements for Children and Pregnant Women

description: This dataset is raw data and summary of quantified FD&C dye levels in children’s gummy vitamins, children’s tablet vitamins, prenatal vitamins, children’s cough/cold/allergy tablets & syrups, and children’s pain reliever tablets & syrups determined by high performance liquid chromatography with a photometric diode array (HPLC-DAD). The data can further be interpreted against the dosage given by each brand in each category to evaluate the consumption of the FD&C dyes and ADIs suggested for each FD&C dye by the US FDA. Syrups have the highest levels for the dosage described on the label and can be a significant contributor to FD&C dye intake for children, while all tablets and gummy vitamins showed low enough levels to be an insignificant amount of dye contributed to the ADI for most children.
DOI: 10.17632/f4dxm3mb94.1
title: National Wet Waste Inventory (NWWI)

description: The National Wet Waste Inventory is a point spatial dataset containing &gt;56,000 modeled sources of municipal wastewater sludge; confined animal manure; industrial, institutional, and commercial (IIC) food waste; and fats, oils, and greases (FOG). These wastes are considered priority organic feedstocks for waste-to-energy conversion. While the dataset is spatially explicit to enable geospatial analysis, the point locations and the associated waste magnitudes are considered representative and are intended to be used for national scale resource assessment modeling and may not reflect current on the ground conditions at a given location.
DOI: 10.17632/k2yhbng5dw.4
title: Best Fit for Complex Peaks Version 3.0 (BFCP V3.0)

description: Best Fit for Complex Peaks (BFCP V3.0). BFCP Matlab application, BFCP Standalone Desktop App (Matlab Runtime), BFCP user manual for V3.0, BFCP scripts (Pseudo-Voigt only), and tested data. Detail is in the manuscript: Li et al. Best Fit for Complex Peaks (BFCP) in Matlab® for Quantitative Analysis of in situ 2D X-Ray Diffraction Data and Raman Spectra
DOI: 10.17632/c8fzztg59w.2
title: data availability for journal of energy policy

description: Data are fuel consumption, area of burnt areas, agricultural production, number of asphalt used, the average number of cigarettes smoked, Municipal Solid Waste production, industrial production, population, Gross Domestic Product, number of motorized vehicles, SOx or SO2 emission factors, and the sulfur content in fuel. These data were gathered from the book of "Jakarta in figure", "Environment Statistics of Indonesia", "Electricity Statistics", "Statistical Year of Indonesia", "Basic Health Research", “Energy Information Center Ministry of Energy and Mineral Resources, 2004”, “EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016”, “Handbook of energy & economic statistics of Indonesia”, the decree of general director of oil and gas of the Indonesia Republic, the web site of Downstream Regulatory Agency of Oil and Gas, the web site of Jakarta province official portal, the web site of Central Bureau of Statistics, Fifth edition of AP-42, request results data to the General Directorate of Oil and Gas of Indonesia Republic, request results data to the Jakarta Province's industry and energy department, results of data requests to Department of Highways of Jakarta of Indonesia Republic. To predict data from 2018 to 2050, the authors use data or SO2 emission as a function of time, population, or GDP. The authors calculated SO2 emission from its source by using equations in the theoretical basic section. By multiplying the rate of activity with factor emission, anyone can get SO2 emission. Here, the activity rate is fuel consumption, and so on. By plotting SO2 emission versus year, authors can know the trend of the graph.
DOI: 10.17632/5vvffh53r5.1
title: Smart Meter Data-Driven Evaluation of Operational Demand Response Potential of Residential Air Conditioning Loads

description: The ground truth data used in this paper are obtained from three different areas to verify the effectiveness and robustness of the proposed methods. The detailed data information is described as follows: 1) The ground truth data from the Pecan Street dataset are collected from real households in the Muller project in Austin, TX, USA. Muller project funded by the U.S. Department of Energy and the U.S. National Science Foundation are located on the site of the Austin’s former municipal airport, close to central Austin.The selected homes in the project received monitoring equipment that captures electricity use on less than or equal to 1 min intervals for the whole home and 6 to 22 major appliances. Data over one year from August 2015 to July 2016 are analyzed, which contain the application-level and the whole-house energy consumption data. The corresponding 1-hour level temperature data are collected from the nearest Mueller weather station. We down-sample the energy consumption data to the 1-hour level to maintain consistency with the resolution of the temperature data. After data cleaning, customers without air conditioners or with missing readings are omitted, and the data of 119 residential customers are selected for accuracy analysis. 2) The ground truth data from smart home dataset are collected from real households in the Smart Home project in the Western Massachusetts, USA. The goal of this project is to optimize home energy consumption. The project involves several different types of dataset, including apartment dataset of 114 single-family, home dataset of 7 household and solar panel dataset, etc. However, the apartment dataset only contains the aggregated electrical data which can not be used to verify the accuracy of the load decomposition. Therefore, data over one year from January 2016 to December 2016 of home B and home G with individual ACLs monitor are selected for robustness analysis. 3) The ground truth data from low voltage distribution area are collected from low voltage distribution boxes in a developed city, Jiangsu province, China. Power and corresponding temperature data over one year from 2017 to 2018 are used for local DR programs. The dataset involves different distribution areas (i.e., different aggregated DR customers), including garment factory, hotel, rural neighborhoods, etc. However, the sub-meter data of all the ACLs are unavailable, thus it will only be used for aggregated DR potential analysis.
DOI: 10.17632/srt4vr5k38.3
title: BWFLnet + data

description: This dataset is supplementary data for: Waldron, A., Pecci, F., Stoianov, I. (2020). Regularization of an Inverse Problem for Parameter Estimation in Water Distribution Networks. Journal of Water Resources and Planning Management, 146(9):04020076 (https://doi.org/10.1061/(ASCE)WR.1943-5452.0001273). The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence. Any use of this dataset must credit the authors by citing the above paper. BWFLnet is an operational network in Bristol, UK, operated by Bristol Water in collaboration with the InfraSense Labs at Imperial College London and Cla-Val Ltd. The data provided is a the product of a long term research partnership between Bristol Water, Infrasense Labs at Imperial College London and Cla-Val on the design and control of dynamically adaptive networks. We acknowledge the financial support of EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). All data provided is recorded hydraulic data with locations and names anonymised. The authors hope that the publication of this dataset will facilitate the reproducibility of research in hydraulic model calibration as well as broader research in the water distribution sector.
DOI: 10.17632/c8fzztg59w.3
title: data availability for journal of energy policy

description: Data are fuel consumption, area of burnt areas, agricultural production, number of asphalt used, the average number of cigarettes smoked, Municipal Solid Waste production, industrial production, population, Gross Domestic Product, number of motorized vehicles, SOx or SO2 emission factors, and the sulfur content in fuel. These data were gathered from the book of "Jakarta in figure", "Environment Statistics of Indonesia", "Electricity Statistics", "Statistical Year of Indonesia", "Basic Health Research", “Energy Information Center Ministry of Energy and Mineral Resources, 2004”, “EMEP/EEA air pollutant emission inventory guidebook 2016-Update Nov. 2016”, “Handbook of energy & economic statistics of Indonesia”, the decree of general director of oil and gas of the Indonesia Republic, the web site of Downstream Regulatory Agency of Oil and Gas, the web site of Jakarta province official portal, the web site of Central Bureau of Statistics, Fifth edition of AP-42, request results data to the General Directorate of Oil and Gas of Indonesia Republic, request results data to the Jakarta Province's industry and energy department, results of data requests to Department of Highways of Jakarta of Indonesia Republic. To predict data from 2018 to 2050, the authors use data or SO2 emission as a function of time, population, or GDP. The authors calculated SO2 emission from its source by using equations in the theoretical basic section. By multiplying the rate of activity with factor emission, anyone can get SO2 emission. Here, the activity rate is fuel consumption, and so on. By plotting SO2 emission versus year, authors can know the trend of the graph.
DOI: 10.17632/ps8jwmmnkv.1
title: SMASH evaluation dataset

description: ABSTRACT Background. We evaluated the impact of a pharmacist-led Safety Medication dASHboard (SMASH) intervention on medication safety in primary care. Methods and findings. SMASH comprised: (1) training of clinical pharmacists to deliver the intervention; (2) a web-based dashboard providing actionable, patient-level feedback; and (3) pharmacists reviewing individual at-risk patients, and initiating remedial actions or advising general practitioners on doing so. It was implemented in 43 general practices covering a population of 235,595 people in Salford (Greater Manchester), UK. All practices started receiving the intervention between 18 April 2016 and 26 September 2017. We used an interrupted time series analysis of rates of potentially hazardous prescribing and inadequate blood-test monitoring, comparing observed rates post-intervention to extrapolations from a 24-month pre-intervention trend. The number of people registered to participating practices and having one or more risk factors for being exposed to hazardous prescribing or inadequate blood-test monitoring at the start of the intervention was 47,413 (males: 23,073 [48.7%]; mean age: 60 [standard deviation: 21]). At baseline, 95% of practices had rates of potentially hazardous prescribing (composite of 10 indicators) between 0.88% and 6.19%. The prevalence of potentially hazardous prescribing reduced by 27.9% (95% confidence interval [CI], 20.3% to 36.8%, p&lt;0.001) at 24 weeks and by 40.7% (95% CI, 29.1% to 54.2%, p&lt;0.001) at twelve months after introduction of SMASH. The rate of inadequate blood-test monitoring (composite of 2 indicators) reduced by 22.0% (95% CI, 0.2% to 50.7%, p=0.046) at 24 weeks; the change at 12 months (23.5%) was no longer significant (95% CI, -4.5% to 61.6%, p=0.127). After 12 months, 95% of practices had rates of potentially hazardous prescribing between 0.74% and 3.02%. Study limitations include the fact that practices were not randomized, and therefore unmeasured confounders may have influenced our findings. Conclusions. The SMASH intervention was associated with reduced rates of potentially hazardous prescribing and inadequate blood-test monitoring in general practices. This reduction was sustained over 12 months after start of the intervention for prescribing but not for monitoring of medication. There was a marked reduction in the variation in rates of high-risk prescribing between practices.
DOI: 10.17632/5987wkg4jd.2
title: Flame Quenching

description: The experimental tests data were collected on the counter burner. The fuel (Methane, Propane, and LPG) and air flow rates were measured at the inlet of the test section before mixing chamber. Images for a flame disc and the double disc with high contrast were recorded at changing the nozzle diameters for the burners and fuel type for wide ranges of equivalence ratios within range of 0.46 &lt; φ &lt; 1.57. Image processing algorithm was developed to extract information from the recorded images
DOI: 10.17632/zbbrf6r5zn.1
title: Dataset: The short-term costs of local content requirements in the Indian solar auctions
DOI: 10.17632/8v45kvdtw5.1
title: Datasets for manuscript entitled: Diversification of DNA-binding specificity via permissive and specificity-switching mutations in the ParB/Noc protein family

description: Bio-layer interferometry (BLI) traces (response vs. time), chromatin immunoprecipitation with qPCR (ChIP-qPCR) data, Bacterial one-hybrid (B1H-seq) fitness data, Bacterial one-hybrid plate-streak assays data (uncropped images), Curves+ data for DNA grooves widths/twist angle/roll angle, PDB validation reports.
DOI: 10.17632/vgxy5d9j93.1
title: Increased House Mice (Mus musculus) abundance in wetlands in response to Typha sp. flowering: implications for understanding wetland occupancy patterns of the Eastern Grass Owl (Tyto longimembris)

description: This data was gathered to test the hypothesis that house mice abundance in south-eastern Australian wetlands during austral summer is due to increased monocot seeds (grass seeds). Data is presented in long-form displaying house mice abundance per wetland per survey in Microsoft Excel. Observations of eastern grass owls (Tyto longimembris) and eastern barn owls (Tyto alba delicatula) are also tabulated. Calculation code is also included which summarises data per week and per Typha flowering period.
DOI: 10.17632/4wj8g5x5sk.1
title: knowledge , attitude and practice about breast self examination

description: The inadequacy of breast cancer early detection methods in Sudan, makes the implementations in breast cancer awareness and regular breast self examination worth doing. Among medical students, the level of knowledge, attitude and practice of breast self examination is worth questioning, being the potential professional health care providers on whom the awareness spread duty is laid. the knowledge, attitude and practice level of breast self-examination in female undergraduate students, faculty of medicine university of Khartoum were found to be low.
DOI: 10.17632/wxgdyr5ppd.2
title: Money, Finance and Growth in Cuba