cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kpy6crr94y.1
title: The Impact of Universal Basic Income on Health and Wellbeing: A Qualitative Realist Review

description: METHODOLOGY The review focuses on critical analysis of qualitative data on the CMOs of UBI/UCT-trials related to health inequalities and wellbeing in developed and developing countries. Following research sub-questions will be addressed: 1) How do context and underlying mechanisms influence social determinants and health outcomes of the population under investigation? 2) Is there a difference in perceived health outcomes between developed (HICs) and developing countries (LMICs) implementing a UBI or UCT? And if so, why? 3) Is there any difference in perceived health and wellbeing within countries (and for whom is it beneficial)? Data Synthesis Strategy and Coding Oliver (2012) suggests using a grounded theory approach (constructivism) as a framework for the realist review is lacking. Data analysis was performed on three levels within the 13 primary selected papers. First, the narrative data recorded by the researchers with stakeholders were coded through an inductive process which led to open coding. This was followed by axial and selective coding in creating themes (Castleberry and Nolen 2018). It is often argued one dataset should be represented by one theme; Gibbs (2018) counters this argument and proposes the use of several themes within a dataset whenever it is needed in clarifying and representing the data. In appreciating the data correctly, a re-code of the same data was performed one week after the initial coding (Miles, Huberman and Saldana 2013). The authors state this methodology to enhance the saturation of the data improving internal consistency. Researchers’ relevant discourse in their findings and discussions were coded line-by-line and analysed through the CMO-approach in retrieving the deeper social and health determinants involved (Jagosh 2019). The data selection, relevant CMOs and their relationships towards the outcomes were put in flowcharts facilitating the uncovering of patterns (Jagosh et al. 2014; Jagosh 2019). The interactions and relationships between the uncovered data are represented by arrows leading to a comprehensive framework creating insight in the deep-layers behind the intervention through ontological reasoning for the CMO (Dalkin et al 2015; Jagosh 2019). Ontological assumptions seek to understand reality (‘what is’) in which we objectified our own perception in recognising what and how things work (Rawnsley 1998; Scotland 2012). FINDINGS Overall, we can summarise the findings for beneficiaries of a UBI/UCT grant in three ontological themes arising prominently in relation to non-recipients or welfare dependent populations: less stigma and shame, financial stability, societal trust and improved health and wellbeing. Adding to this assertion, it was noticed the grant also had a positive effect on the community at large. More gender equity could not be retrieved as religion and tradition impose a patriarchal system.
DOI: 10.17632/c6yyc2hx5f.1
title: OR

description: Operational Research, R and Python programming
DOI: 10.17632/hrdycfbm4m.2
title: Calibration/validation time-period selection in hydrologic models leads to uncertainty in water balance simulations

description: The temporal split-sample approach is the most common method to allocate observed data into calibration and validation groups for hydrologic model calibration. Often, calibration and validation data are split 50:50, where a hydrologic model is calibrated using the first half of the observed data and the second half is used for model validation. However, there is no standard strategy for how to split the data. This may result in different distributions in the observed hydrologic variable (e.g., wetter conditions in one half compared to the other) that could affect simulation results. We investigated this uncertainty by calibrating Soil and Water Assessment Tool hydrologic models with observed streamflow for three watersheds within the United States. We used six temporal data calibration/validation splitting strategies for each watershed (33:67, 50:50, and 67:33 with the calibration period occurring first, then the same three with the validation period occurring first). We found that the choice of split could have a large enough impact to alter conclusions about model performance. Through different calibrations of parameter sets, the choice of data splitting strategy also led to different simulations of streamflow, snowmelt, evapotranspiration, soil water storage, surface runoff, and groundwater flow. The impact of this research is an improved understanding of uncertainties caused by the temporal split-sample approach and the need to carefully consider calibration and validation periods for hydrologic modeling to minimize uncertainties during its use. The file "Research_Data_for_Myers_et_al.tar.gz includes the water balances and observed data from the study.
DOI: 10.17632/mmnmbx3dxx.1
title: TPB RISK DATA

description: These data are the results of an international survey on medical tourism. The survey and the analysis are described in the planned article: Perceived risk in Medical Tourism. Applying the Theory of Planned Behaviour.
DOI: 10.17632/n3ywbm3y2t.4
title: Estimating ground-level PM2.5 using micro-satellite images by a convolutional neural network and random forest approach

description: # note based on the PlanetLabs' terms of use (https://www.planet.com/terms-of-use/) and Weather Underground’s terms of use (https://www.wunderground.com/company/legal), we are not allowed to publish/distribute the images data from PlanetLabs or meteorology data from Weather Underground used in this study. However, we have provided a python script (“Image_Downloader.ipynb”) that can download the current study’s images from PlanetLabs and we have provided links (“Links_to_Download_Meteorology_Data.docx”) to direct readers to the corresponding Weather Underground webpages where they can download the meteorology data used in our study.# This dataset includes the following items: 1) raw 1 h PM2.5 mass concentration measurements of the 35 regulatory AQM stations and the US Embassy station in Beijing from January 1, 2017 to July 20, 2019; 2) raw 1 h PM2.5 mass concentration measurements of the 10 regulatory AQM stations in Shanghai from January 1, 2017 to July 20, 2019; 3) "Links_to_Download_Meteorology_Data.docx" links to direct readers to the corresponding Weather Underground webpages where they can download the meteorology data used in our study; 4) "Image_Downloader.ipynb" python code to download the Beijing and Shanghai stations' images used in our study from PlanetLabs; 5) "PM_Meteorology_Image_process_filter_match.ipynb" python code to process the raw PM2.5 data and the raw meteorology data; to process and filter the raw images data; to match the processed PM2.5 data and meteorology data with the filtered and processed images data; store the matched records for model training and evaluation purposes; 6) "Model_Training_and_Evaluation_updated.ipynb" python code to build, train, and evaluate the CNN-RF models used in our study; 7) "670m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 670 * 670 m; 8) "500m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 500 * 500 m; 9) "200m_model.hdf5" the CNN model trained on the Beijing training dataset at a spatial resolution of 200 * 200 m.
DOI: 10.17632/v8fhn6wsh2.1
title: Situation in Tunisia: 100 days after the COVID-19 first case in China

description: These data describes the situation in Tunisia 100 days after the COVID-19 first cases in China. Data includes for the period 02 March 2020-12 April 2020 (1) the Total Coronavirus Cases in Tunisia (TCCT), (2) The Daily New Cases in Tunisia (DNCT), (3) the Total Coronavirus Deaths in Tunisia (TCDT), (4)The Daily New Deaths in Tunisia (DNDT), (5) The Daily Tests (DT) and (6) The Total Coronavirus Recovered in Tunisia (TCRT). The Data are collected from three sources: (1) The Official Website of Ministry of Health (2) The Worldometer and 3) The World Health Organization daily Bulletin (WHO). Due to differences in reporting methods, retrospective data consolidation, and reporting delays, the number of new cases presents differences between the official source report and the two other sources of COVID-19 data using different inclusion criteria and different data cutoff.
DOI: 10.17632/d4yd7trhnx.1
title: DIETETICS STUDENTS DECLARING A PREFERENCE FOR DIRECT WORK WITH PATIENTS SHOW A POOR PERSONALITY PREDISPOSITION TO USE THE PATIENT-CENTERED COUNSELING APPROACH

description: The presented data refer to the study aimed to verify the assumption that a specific personality constellation allows one to predict a preference for the ways of practicing dietetics, which require direct work with the patient and building a therapeutic relationship. This cross-sectional survey study was conducted in a group of 390 dietetics students, aged 19-31 (M= 21.57, SD=1.92), studying at three purposively sampled Polish medical universities. Those declaring preference for the ways of practicing dietetics that entail direct contact with patients made up the criterion group (n=301; 77.2% of those analyzed). The control group was composed of students declaring preference for a professional path that does not imply direct work with patients. The study employed the Polish versions of the NEO-FFI Personality Inventory and the Schwartz Value Survey, as well as the authors’ own survey on the preferred career path in dietetics.
DOI: 10.17632/vp4bwt7d2c.1
title: Data set on the performance of VRFB cells with serpentine flow fields _Experiemntal and CFD approach

description: Several life cycle experiments have been conducted on vanadium redox flow battery cells of size 400, 900 and 1500 cm2 active areas at various flow rates and current densities. Electrolyte of concentration 2M VOSO4 dissolved in 5M sulfuric acid is used for testing. Pressure drop measurements at various flow rates have also been measured with circulation of electrolyte solution through the cell. Graphite plates have been engraved with serpentine flow fields of the several flow-channel combinations given in Table 1 of the research article 2. Upon selecting the optimal channel configuration as (5,2,3) (channel width, rib width, channel depth), the same configuration has been extensively studied on three cell areas 416 cm2, 918 cm2 and 1495 cm2 for various flow rates and current densities. In order to interpret the macro performance of these studies, CFD simulations have also been carried out with measured intrusion depths and permeability of felt which gave the pressure drop, fractional split to porous felt and distribution of the electrolyte across the cell. Also, the pressure drop and the fractional split between the flow-channels and felt electrode is predicted by the parallel-path electrolyte circulation model (research article 2). [1] Ravendra Gundlapalli, Sreenivas Jayanti, Effect of Electrolyte Convection Velocity in the Electrode on the Performance of Vanadium Redox Flow Battery Cells with Serpentine Flow Field, Journal of Energy Storage [2] Ravendra Gundlapalli, Sreenivas Jayanti, Effect of channel dimensions of serpentine flow fields on the performance of a vanadium redox flow battery, Journal of Energy Storage, 23 (2019) 148–158, https://doi.org/10.1016/j.est.2019.03.014
DOI: 10.17632/tbspsppv9t.1
title: Performance of premium and free items in Free-to-play video games

description: The information in this dataset encompasses statistics about the performance of free and premium items in three different free-to-play video games (War Thunder, World of Tanks, and World of Warships). Data were extracted by web scraping from Thunderskill.com, Blitzstars.com, Noobmeter.com, Wows-numbers.com, and Wowstats.org between August 2019 and October 2019. Each observation is a vehicle in one of the three video games considered. For each video game, there are different sub-databases with information about the win ratio, status (premium or free), type, tier, and the number of battles for each vehicle. For some video games, databases encompass other variables, such as nation, spots ratios, or survival ratios. Data is either in Excel or Stata formats. The database is ready to use. It could be used to draw statistics and conclusions on vehicles’ performance, differences between performances in each game, compare the performance by nation or type of vehicle, or to test whether or not the games are equilibrated.
DOI: 10.18434/m32222
title: SHREC'12 Track: Sketch-Based 3D Shape Retrieval

description: The objective of this SHREC'12 track is to evaluate the performance of different sketch-based 3D model retrieval algorithms using both hand-drawn and standard line drawings sketch queries on a watertight 3D model dataset. Sketch-based 3D model retrieval is to retrieve 3D models using a 2D sketch as input. This scheme is intuitive and convenient for users to search for relevant 3D models and also important for several applications including sketch-based modeling and sketch-based shape recognition. However, most existing 3D model retrieval algorithms target the Query-by-Model framework, that is, using existing 3D models as queries. Much less research work has been done regarding the Query-by-Sketch framework. In addition, until now there was no comprehensive evaluation or comparison for available sketch-based retrieval algorithms. Considering of this, we organized this track to foster this challenging research area by providing a common sketch-based retrieval benchmark and soliciting retrieval results from current state-of-the-art retrieval methods for comparison. We also provide corresponding evaluation code for computing a set of performance metrics similar to those used in the Query-by-Model retrieval technique. Dataset: 3D target Models is 400, 2D query set comprises two subsets: (1) Hand-drawn sketches, and (2) Standard line drawings Please cite the paper: [1] B. Li, T. Schreck, A. Godil, M. Alexa, T. Boubekeur, B. Bustos, J. Chen, M. Eitz, T. Furuya, K. Hildebrand, S. Huang, H. Johan, A. Kuijper, R. Ohbuchi, R. Richter, J. M. Saavedra, M. Scherer, T. Yanagimachi, G. J. Yoon, S. M. Yoon, In: M. Spagnuolo, M. Bronstein, A. Bronstein, and A. Ferreira (eds.), SHREC'12 Track: Sketch-Based 3D Shape Retrieval, Eurographics Workshopon 3D Object Retrieval 2012 (3DOR 2012), 2012.
DOI: 10.5519/qd.yj0iot9n
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.17632/2j5x4h9t5b.2
title: Dataset for estimate fine root biomass in ecotone forests on the eastern of Maracá Island, northern Brazilian Amazonia

description: The dataset provides information on fine root biomass (2-20mm ; 1m in depth) associated to edaphic factors (soil texture and fertility) in ecotone forests located on the eastern of Maracá Island, a fluvial island integrated to the Maracá Ecological Station, state of Roraima, northern Brazilian Amazonia. This area represents an ecotone zone of the southern region of the Guyana Shield, which is dominated by mosaics of ombrophilous and seasonal forests in contact with savanna areas. Our sampling took into consideration 30 permanent plots located in the PPBio (Biodiversity Research Program) 25-km2 research grid installed in the eastern of Maracá Island. The fieldwork was carried in July and October 2015 when we collected two soil cores (sub-samples) 1 m in depth for each plot. Each soil core was composed by 10 sections of 10 cm in length (000-010 cm; … ; 090-100 cm). All fine root (2-20 mm) found in each section was classified by diameter categories (2-5 mm; 5-10mm; 10-20mm), dried in electric stove (100±3oC) and weighted (0,0001g). Soil analysis were performed for each depth section taking into account a composite sample derived from both soil cores. We used the soil analysis methodology adopted by Embrapa (Embrapa. 2009. Manual de análises químicas de solos, plantas e fertilizantes. Embrapa Informação Tecnológica, 2. ed. rev. ampl. Brasília-DF. 627 p). Our dataset is presented in two files: (i) soil_analysis - sampling units codes (plotID) and their geographical reference (UTM, SAD69, Zone 20), associated with altitude (m a.s.l.), drainage (well/poor), section depth (cm), and soil analysis (mean of the edaphic variables for each section - texture, fertility, soil bulk density); (ii) fine_root – fine root biomass (g) for each soil section by root diameter category (2-5 mm; 5-10mm; 10-20mm), sampling date and sub-sample number. This dataset was supported by institutional project PPI/INPA 015/122 (Ecologia e manejo de savannas e florestas de Roraima). The Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) provided a fellowships for R.I. Barbosa (CNPq 304204/2015-3) and M.T. Nascimento (CNPq 308352/2015-7). L.C.S. Carvalho was supported by a fellowship from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES/PNPD). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study. This dataset is also available on the DataONE website (https://search.dataone.org/view/PPBioAmOc.135.9), as well as the soil bulk density data (https://search.dataone.org/view/PPBioAmOc.114.5).
DOI: 10.17632/5cpzngd93x.2
title: Dataset for estimate coarse root and root collar biomass in ecotone forests on the eastern of Maracá Island, northern Brazilian Amazonia

description: The dataset provides information on coarse root (≥ 20mm) and root collar (area just below the soil line where the roots join the main stem) biomass, for trees (stem diameter ≥ 10cm) in ecotone forests located on the eastern of Maracá Ecological Station, northern Brazilian Amazonia. This area represents an ecotone zone dominated by mosaics of ombrophilous and seasonal forests. Our sampling took into consideration 65 trees characterized as natural treefalls (live trees toppled by wind or individuals that were physically felled by other trees that fell against them) observed in the PPBio (Biodiversity Research Program) 25-km2 research grid installed in the eastern of Maracá Island. The selection criteria for including trees in the sample took into consideration a careful inspection in order to choose only recently fallen individuals (live or dead) that were in a good state of preservation, discarding all individuals with hollow trunks, broken stems, broken canopies or with signs of rotting, as specified in Barbosa et al. (2019). Acta Amazonica 49: 81-90. The fieldwork was carried among July/2015 and October/2016 when we collected biometric measures (total height and stem diameter) and estimate the coarse root/collar root biomass by indirect measures for each individual tree. All sampled trees had most of the coarse roots exposed (≥ 20mm), being possible to measure each one (diameter and total lenght) and estimate its individual volume (m3). The sum of each individual volume (= total volume in m3) was multiplied by its specific gravity (g cm-3; roots) to estimate the coarse root biomass (Mg) by each tree. The root collar biomass was estimated using the measurements of the collar lenght (distance between the soil line and the first insertion of coarse roots) and the stem diameter. So, we calculated the individual volume (m3) of each tree and estimated its biomass applying the specific gravity (g cm-3; stem). Our dataset has one file (coarse_root) where are presented the code for each sampled tree (treeID), associated to its taxonomic identification (family; species), sampling date, altitude (m a.s.l.), drainage (well/poor), POM (point of measure of stem diameter), stem diameter (cm), total height (m), root collar lenght (cm), specific gravity (g cm-3; stems and roots), and estimates for coarse root and collar root biomass (Mg). The dataset was supported by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil), project “Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática” (Proc. CNPq n. 403591/2016-3). The CNPq also provided a fellowship for R.I. Barbosa (CNPq 304204/2015-3). P.N. Ramirez-Narvaez and C.D.A. Villacorta were supported by postgraduate fellowships from the Organization of American States (OAS). Instituto Chico Mendes de Conservação da Biodiversidade (ICMBio) provided authorization for the study (SISBIO n. 52017).
DOI: 10.17632/8ww2kxnbzv.2
title: Experimental dataset for the performance of VRFB cells with flow fields and different electrode compression ratios

description: The data presents charge-discharge life cycle behaviour of the vanadium redox flow battery along with pressure drop measurements at various flow rates and current densities for serpentine flow field and design variants of interdigitated flow fields over the three cell areas 400 cm2, 900 cm2 and 1500 cm2 assembled with different electrode compression ratios (20%, 35%, 50% and 70%). Contents include 12 excel sheets. The raw data recorded in BT-Lab software (Biologic) and Visual LCN software (Bitrode) is exported to excel format. Each operating condition consists three life-cycles and the average of them is presented in the excel sheet from which the other parameters like capacity, energy density and efficiency are calculated. Few excel sheets have original raw data exported from the data recording software and many of the sheets have averaged life cycles and processed data for the electrochemical parameters. [1] Ravendra Gundlapalli, Sreenivas Jayanti, Performance Characteristics of Several Variants of Interdigitated Flow Fields for Flow Battery Applications, Journal of Power Sources [2] Ravendra Gundlapalli, Sreenivas Jayanti, Effect of electrode compression and operating parameters on the performance of large vanadium redox flow battery cells, Journal Power Sources 427 (2019) 231-242
DOI: 10.17632/bcmn9cxyzs.4
title: Single molecule mRNA Fluorescent In Situ Hybridization combined to Immunofluorescence in S. cerevisiae: Dataset and quantification

description: Single molecule fluorescent in situ hybridization (smFISH) has emerged as a powerful technique that allows one to localize and quantify the absolute number of mRNAs in single cells. This approach has the potential to reveal the subcellular localization of mRNAs in individual cells, the cell-to-cell variability in gene expression and to precisely quantify the number of mRNAs in the cytoplasm and at the transcription site. In combination with immunofluorescence now smFISH can be used to correlate the expression on an mRNA of interest to the expression of a protein in single cells. The dataset provided here is described in the recently published smFISH-IF protocol “Simultaneous detection of mRNA and protein in S. cerevisiae by single molecule FISH and Immunofluorescence” [1]. We provide and quantify the smFISH-IF dataset detecting the cell cycle-controlled mRNA CLN2 and the cell cycle marker alpha-tubulin. In this article we analyse the smFISH data using the freely available Matlab-written software FISH-quant [2]. The provided datasets are meant to assist scientists interested in setting up smFISH-IF in their laboratory. Furthermore, software developers interested in creating imaging analysis tools for gene expression analysis in single cells, may find useful the provided the data.
DOI: 10.17632/g7rd93z4f2.1
title: Ogre datasets

description: This dataset contains the DFT calculation results of aspirin, tetracene and HMX surfaces.
DOI: 10.17632/46zycx87sz.1
title: Green Entrepreneur Research Dataset (2002-2019)

description: The green entrepreneur reseach & publication dataset, which was indexed by Scopus from 2002 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.