cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/55dhw8stks.1
title: Quantification of surgical margin involvement and extraprostatic extension as a marker of progression of prostate adenocarcinoma

description: Much research has been conducted on the relationship between surgical margin (SM) involvement or extraprostatic extension (EPE) and increased postoperative PSA levels in patients prostatectomized. In order to estimate the risk of progression, SM involvement and EPE may be quantified in different ways, in addition to Gleason grading at positive margins, but so far no consensus exists regarding method.
DOI: 10.25386/genetics.12727991.v1
title: Supplemental Material for Devi and Jain, 2020

description: Sec. S1 describes the discrete and continuous time models.<br><br>Sec. S2 and S3 represent the supplemental figures for the fixation probability of a mutant that is beneficial and neutral on-average, respectively.<br><br>Sec. S4 explains the fixation of a mutant in a transiently varying environment.
DOI: 10.25386/genetics.12727991
title: Supplemental Material for Devi and Jain, 2020

description: Sec. S1 describes the discrete and continuous time models.<br><br>Sec. S2 and S3 represent the supplemental figures for the fixation probability of a mutant that is beneficial and neutral on-average, respectively.<br><br>Sec. S4 explains the fixation of a mutant in a transiently varying environment.
DOI: 10.17632/5ys9dmmcck.1
title: Data for: The incorporation of graphene to enhance mechanical properties of polypropylene self-reinforced polymer composites
DOI: 10.17632/mmy4v3gkxb.1
title: A Learning-based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. ZHENG et al

description: The additional supplemental items show the list of eligible literatures that is retrieved from the World Health Organization COVID-19 database, the difference in clinical variables between severe and nonsevere COVID-19 cases, definition of the evaluation metrics and the performance of a previously validated single-tree XGBoost model for identification of severe COVID-19 risk. The supplemental video is the t-SNE visualization.
DOI: 10.17632/2nb9pnht9v.1
title: Questionnaire for Digital Orientation, Digital Capability, Digital Innovation and Business Sustainability

description: This questionnaire contains items for measuring digital orientation, digital capability, digital innovation and small business sustainability. The questionnaire was adapted from several previous research to suit small business in the Indonesian context.
DOI: 10.17632/795f86f3gj.1
title: Dynamics of Quantum Devices

description: ISBN 973-685-777-8 ; Book published in Romanian (Wallachian) language in 2004; The uploaded version includes a translation in English of the Contents and Preface.
DOI: 10.17632/499vtcykvw.1
title: COVID-19 Datasets for predicting the number of new cases of COVID-19 ahead of 1 day, 3 days, and 10 days

description: Four datasets are presented here. The original dataset is a collection of the COVID-19 data maintained by Our World in Data. It includes data on confirmed cases, and deaths, as well as other variables of potential interest for ten countries such as Australia, Brazil, Canada, China, Denmark, France, Israel, Italy, the United Kingdom, and the United States. The original dataset includes the data from the date of 31st December in 2019 to 31st May in 2020 with a total of 1.530 instances and 19 features. This dataset is collected from a variety of sources (the European Centre for Disease Prevention and Control, United Nations, World Bank, Global Burden of Disease, Blavatnik School of Government, etc.). After the original dataset is pre-processed by cleaning and removing some data including unnecessary and blank. Then, all strings are converted numeric values, and some new features such as continent, hemisphere, year, month, and day are added by extracting the original features. After that, the processed original dataset is organized for prediction of the number of new cases of COVID-19 for 1 day, 3 days, and 10 days ago and three datasets (Dataset-1, 2, 3) are created for that.
DOI: 10.17632/pzp26k9fy7.1
title: kwose

description: Responses on Quality of Life of People living with HIV/AIDS in Northern Ghana
DOI: 10.17632/jb98r7hx8x.1
title: Supplementary Figure 1. The most frequent dermatologic conditions depicted in skin of color

description: Supplementary Figure 1 from " Skin of Color Representation in Medical Education: An Analysis of Popular Preparatory Materials Used for the United States Medical Licensing Examinations". In this study we aimed to evaluate the use of skin of color images in the dermatology sections of USMLE First Aid for STEP 1 2020, Fundamentals of Pathology 2019, UWorld Step 1, and UWorld Step 2 CK. Supplementary Figure 1 summarizes the top conditions depicted in skin of color across the 4 resources. The full details of the study are published in the Journal of the American Academy of Dermatology.
DOI: 10.17632/8n2ymkttkp.5
title: Use of Building Information Modeling (BIM) technology in urban building projects in Lima city and Callao 2017, Dataset

description: This research data aimed to estimate the diffusion of Building Information Modeling (BIM) technology in urban building projects of Lima city and Callao by the end of 2017. The level of diffusion is estimated through sampling principles. Population data (N=1218) can be find 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 answered 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 a census of new or under construction urban building projects of Lima city and Callao. A project was considered under construction 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 have a public construction license were excluded. The data collection was carried out by 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 that 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 a building project site (271 answers). Projects visited were found aleatory with the only requirement to be inside the designed sample. It has been considered that a project has adopted BIM technology if it has used some of these 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 and fabrication of precast components; project management in the cloud; or the generation of 2D drawings from 3D models. The main notable finding is that 21.6% of urban building projects of Lima city and Callao use BIM technology by the end of 2017.
DOI: 10.17632/4tmsmp98tr.1
title: KU-MG1: A Dataset for Hybrid Photovoltaic-Natural Gas Generator Microgrid Model of a Residential Area. (For Nirala residential area, Khulna, Bangladesh)

description: A renewable energy resource-based sustainable microgrid model for a residential area is designed by HOMER PRO microgrid software. A small-sized residential area of 20 buildings of about 60 families with 219 MWh and an electric vehicle charging station of daily 10 batteries with 18.3MWh annual energy consumption considered for Nirala residential area, Khulna (22°48.0'N, 89°33.4'E) is selected as our case study. Solar panels, natural gas generator, inverter and Li-ion batteries are required for our proposed model. The HOMER PRO microgrid software is used to optimize our designed microgrid model. Data were collected from HOMER PRO for the year 2007. We have compared our daily load demand 650KW with the results varying the load by 10%, 5%, 2.5% more and less to find out the best case according to our demand. We have a total of 7 different datasets for different load conditions where each dataset contains a total of 8760 sets of data having 6 different parameters for each set. Data file contents: Data 1:: original_load.csv: This file contains data for 650KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Data arrangement is given below: Column 1: Date and time of data recording in the format of MM-DD- YYYY [hh]:[mm]. Time is in 24-hour format. Column 2: Solar power output in KW unit. Column 3: Generator power output in KW unit. Column 4: Total Electrical load served in KW unit. Column 5: Excess electrical production in KW unit. Column 6: Li-ion battery energy content in KWh unit. Column 7: Li-ion battery state of charge in % unit. Data 2:: 2.5%_more_load.csv: This file contains data for 677KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 3:: 2.5%_less_load.csv: This file contains data for 622KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 4:: 5%_more_load.csv: This file contains data for 705KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 5:: 5%_less_load.csv: This file contains data for 595KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 6:: 10%_more_load.csv: This file contains data for the 760KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 7:: 10%_less_load.csv: This file contains data for 540KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset.
DOI: 10.17632/js5mtkf5yk.1
title: KU-MG2: A Dataset for Hybrid Photovoltaic-Natural Gas Generator Microgrid Model of a Residential Area. (For Padma residential area, Rajshahi, Bangladesh)

description: a renewable energy resource-based sustainable microgrid model for a residential area is designed by HOMER PRO microgrid software. A small-sized residential area of 20 buildings of about 60 families with 219 MWh and an electric vehicle charging station of daily 10 batteries with 18.3MWh annual energy consumption considered for Padma residential area, Rajshahi (24°22.6'N, 88°37.2'E) is selected as our case study. Solar panels, natural gas generator, inverter and Li-ion batteries are required for our proposed model. The HOMER PRO microgrid software is used to optimize our designed microgrid model. Data were collected from HOMER PRO for the year 2007. We have compared our daily load demand 650KW with the results varying the load by 10%, 5%, 2.5% more and less to find out the best case according to our demand. We have a total of 7 different datasets for different load conditions where each dataset contains a total of 8760 sets of data having 6 different parameters for each set. Data file contents: Data 1:: original_load.csv: This file contains data for 650KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Data arrangement is given below: Column 1: Date and time of data recording in the format of MM-DD- YYYY [hh]:[mm]. Time is in 24-hour format. Column 2: Solar power output in KW unit. Column 3: Generator power output in KW unit. Column 4: Total Electrical load served in KW unit. Column 5: Excess electrical production in KW unit. Column 6: Li-ion battery energy content in KWh unit. Column 7: Li-ion battery state of charge in % unit. Data 2:: 2.5%_more_load.csv: This file contains data for 677KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 3:: 2.5%_less_load.csv: This file contains data for 622KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 4:: 5%_more_load.csv: This file contains data for 705KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 5:: 5%_less_load.csv: This file contains data for 595KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 6:: 10%_more_load.csv: This file contains data for the 760KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset. Data 7:: 10%_less_load.csv: This file contains data for 540KW load demand. The dataset contains a total of 8760 sets of data having 6 different parameters for each set. Column information is the same for every dataset.
DOI: 10.17632/tmrs92j7pv.21
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 Twice a Week]
DOI: 10.17632/8zpt79rrkc.3
title: Data& Code for FRL submission
DOI: 10.17632/7xjthzzgks.1
title: Hu NJ et al. Data Contents of TOC in the bulk sediments; Ti, Al, Nd and Pb concentrations in the residues after HH leaching; major elemental and REEs concentrations in the leachate of OKI01.xlsx

description: Contents of TOC in the bulk sediments; Ti, Al, Nd and Pb concentrations in the residues after HH leaching; major elemental and REEs concentrations in the leachate of core OKI01 in middle Okinawa Trough
DOI: 10.17632/zmnkmktz4k.1
title: Prolonged Usage of an Adhesive Wound Closure Device in Postoperative Facial Scar Management: A Split-Wound, Randomized Controlled Trial

description: Supplement Figure 1 CONSORT flow diagram of this study.
DOI: 10.17632/bs8sdhg8h3.1
title: StarProtocol2020-1

description: This includes a circuit board CAD data and firmware for a microprocessor.
DOI: 10.17632/7jzgxvmfvy.2
title: FLAS dataset

description: This data repository includes the datasets used both for training of the predictive models and for the evaluation of the proposed solution (FLAS) as a whole. In addition, the processed quantitative data are attached, which are the result of the evaluation carried out and which have been used to generate the graphs that show these results.
DOI: 10.17632/g7msxkcg55.3
title: Russian Bank Data: Reasons of Bank Closure

description: For every closed Russian bank I collect its closure reasons. I divide these reasons into categories and report them in the form of tags. The data come from online sources. The dataset is further described in a Data in Brief article with the same title.
DOI: 10.17632/6xjc4c4nd9.1
title: WJTD-2020-0995

description: Data underlying the study entitled "The relationship between experiential avoidance and posttraumatic stress symptoms: A moderated mediation model involving dissociation, guilt, and gender".
DOI: 10.17632/4pc7mnmjdy.1
title: The E-money Literature Dataset (1968-2019)

description: The E-money or Electronic Money research & publication dataset, which was indexed by Scopus from 1968 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/82zsf2dbw5.6
title: File_S1

description: This document provides variables definitions on behalf of the study entitled "Hepatitis B vaccination uptake rate and predictors in healthcare professionals of Ethiopia"
DOI: 10.17632/gzdwt6g3zk.1
title: Rectal cancer SRT vs CRT
DOI: 10.17632/32ykppfxdn.1
title: The Linkedin Research Dataset from 2004 to 2019

description: The Linkedin research & publication dataset, which was indexed by Scopus from 2004 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/k4gs3bmx5k.4
title: Brazilian Sign Language Alphabet

description: This database contains images of Brazilian Sign Language Alphabet - (BSL, also known as LIBRAS). The database was developed using images previously available in Kaggle¹. The characteristics of the data obtained are listed below: * The database consists of 3,000 images of each sign representing the alphabet of the American Sign Language - ASL - which are 200x200 pixels.; * The images show variations in scale, distance, lighting and execution; and * The catches have a homogeneous background. This database was developed using only the images available in Kaggle. In all, images of 15 ASL static signals were selected, which have the same representation in LIBRAS. The database contains 4411 images of signs representing the LIBRAS alphabet. The characteristics of the database are: * It contains images representing 15 signs of the LIBRAS alphabet: A, B, C, D, E, I, L, M, N, O, R, S, U, V and W; * Each class/sign of the alphabet has between 150 and 600 samples; * The images have homogeneous background; and * The images have annotations that delimit the area of the image belonging to the object/sign of the alphabet. The annotation of the object present in the image was performed with the aim of creating a ground truth for evaluating algorithms of object detection, as well as enabling the training of classifiers to perform the detection. The annotations were made with LabelImg² - a graphic tool that can be used to annotate images by creating a bounding box on the objects of interest. As a result a file in XML (Extensible Markup Language) format is generated containing the ROI (region of interest) coordinates of all the bounded objects, as well as their label. ¹ https://www.kaggle.com/grassknoted/asl-alphabet ² https://github.com/tzutalin/labelImg
DOI: 10.17632/7236xbw677.3
title: Research Data: Development of Ti-In alloys by powder metallurgy for applications as dental biomaterial

description: This dataset contains the raw data related to the research paper "Development of Ti-In alloys by powder metallurgy for applications as dental biomaterial".
DOI: 10.17632/9rb5y4hhfv.1
title: Data for: Approximation of heat capacities of potassium and some binary compounds by Einstein functions sum including temperatures below 5 K

description: This dataset contains input isobaric heat capacity and heat content data, assigned statistical weights, optimized parameters of thermodynamic models for solid potassium K, lead iodide PbI2, thorium sulphide ThS, thorium disulphide ThS2, uranium diboride UB2 and triuranium silicide U3Si. The models are based on the weighted sums of Einstein (Einstein-Planck) functions. It also contains tabulated values of standard thermodynamic functions for these compounds.
DOI: 10.17632/2h4bfz6sj7.2
title: DEVELOPMENT OF A PROBABILISTIC MODEL FOR QUANTITATIVE RISK ASSESSMENT OF COVID-19 IN BRAZIL DATASET

description: ramas files
DOI: 10.5281/zenodo.3964622
title: Ensembles for: Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins

description: Flexible Meccano and Campari conformational ensembles used in the publication "<em>Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins</em>" by Ahmed M.C., Crehuet R., Lindorff-Larsen K.. Paper available at: https://doi.org/10.1007/978-1-0716-0524-0_21
DOI: 10.5281/zenodo.3964621
title: Ensembles for: Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins

description: Flexible Meccano and Campari conformational ensembles used in the publication "<em>Computing, Analyzing, and Comparing the Radius of Gyration and Hydrodynamic Radius in Conformational Ensembles of Intrinsically Disordered Proteins</em>" by Ahmed M.C., Crehuet R., Lindorff-Larsen K.. Paper available at: https://doi.org/10.1007/978-1-0716-0524-0_21
DOI: 10.5517/ccdc.csd.cc213c7s
title: CCDC 1880064: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213c8t
title: CCDC 1880065: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213c9v
title: CCDC 1880066: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213c6r
title: CCDC 1880063: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213ccx
title: CCDC 1880068: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213cfz
title: CCDC 1880070: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213cg0
title: CCDC 1880071: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213ch1
title: CCDC 1880072: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc213cbw
title: CCDC 1880067: Experimental Crystal Structure Determination

description: Related Article: Saravanan Raju, Harkesh B. Singh, Ray J. Butcher|2020|Dalton Trans.|49|9099|doi:10.1039/D0DT01008A
DOI: 10.5517/ccdc.csd.cc22h02p
title: CCDC 1921041: Experimental Crystal Structure Determination

description: Related Article: Paola A. Forero-Cortés, Maximilian Marx, Nikolaos G. Moustakas, Fabian Brunner, Catherine E. Housecroft, Edwin C. Constable, Henrik Junge, Matthias Beller, Jennifer Strunk|2020|Green Chemistry|22|4541|doi:10.1039/D0GC01627F