cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/pg8s42f7b5.1
title: Li-ion battery voltage data under ripple current excitation

description: Li-ion battery voltage data under high frequency ripple current excitation. The naming principle for individual files is "HF current frequency - SOC of the cell at the beginning of the data - SOC of the cell at the end of the data". data is truncated from the full data, so the average current does not start at 0.
DOI: 10.6084/m9.figshare.20026873
title: Lime-based restoration paints: characterization and evaluation of formulations using a native species from the Amazon flora and PVA-based glue as additives

description: Abstract Based on historic documents, two lime-based paint formulations were produced in laboratory in order to evaluate their basic characteristics as restoration materials for historic buildings with lime-based components. The paints were made basically with hydrated lime, clay, water and linseed (Linum usitatissimum L.) oil, and one formulation had PVA (polyvinyl acetate)-based glue as fixative, and the other one, Couma guianensis' latex. Each paint component was characterized by XRD and FTIR, and color and specular gloss measurements were performed on both paints. A preliminary assessment of the paints was conducted using the Pipe Method, the salt crystallization test, visual analysis for dustiness, and analysis of microbiological growth. The results showed that the laboratory-produced paints are theoretically and technologically compatible with lime-based coatings, however, their superficial performance can be improved to achieve greater durability. This study also brings to light local materials from the Amazon region that have great potential to be used and recognized as raw materials for paints and which could also be investigated for other uses.
DOI: 10.6084/m9.figshare.20026873.v1
title: Lime-based restoration paints: characterization and evaluation of formulations using a native species from the Amazon flora and PVA-based glue as additives

description: Abstract Based on historic documents, two lime-based paint formulations were produced in laboratory in order to evaluate their basic characteristics as restoration materials for historic buildings with lime-based components. The paints were made basically with hydrated lime, clay, water and linseed (Linum usitatissimum L.) oil, and one formulation had PVA (polyvinyl acetate)-based glue as fixative, and the other one, Couma guianensis' latex. Each paint component was characterized by XRD and FTIR, and color and specular gloss measurements were performed on both paints. A preliminary assessment of the paints was conducted using the Pipe Method, the salt crystallization test, visual analysis for dustiness, and analysis of microbiological growth. The results showed that the laboratory-produced paints are theoretically and technologically compatible with lime-based coatings, however, their superficial performance can be improved to achieve greater durability. This study also brings to light local materials from the Amazon region that have great potential to be used and recognized as raw materials for paints and which could also be investigated for other uses.
DOI: 10.17632/k259tfgbzj.1
title: Data for: Health-promoting spaghetti-type pastas based on doubly modified corn starch: Starch oxidation via wet chemistry followed by organocatalytic butyrylation by reactive extrusion

description: These files provide the transparent date of this article.
DOI: 10.17632/kgcthpzfpt.1
title: Nanostring dataset 

description: The nanoString nCounter(Tsang et al. 2017) Myeloid Innate Immunity Panel (nanoString Technologies, Seattle, WA) was used to quantify the expression of 180 genes associated with innate and adaptive immune responses. RNA was isolated from four 5 μm thick formalin-fixed and paraffin-embedded skin sections of 14 confirmed BP, 12 confirmed NBP, and 10 pruritus patients using the RNeasy mini kit (Qiagen) according to suppliers instructions. RNA (100ng as measured by Qubit (ThermoFisher)) was hybridized with the nanoString reporter and capture probes overnight at 65 degrees Celsius. Each probe set (reporter and capture probe) is designed to bind an unique mRNA target, and has an unique color-coded molecular tag. The RNA-probe complexes were loaded on an nCounter cartridge, and washed and read on a SPRINT platform.
DOI: 10.6084/m9.figshare.20026875
title: Numerical and experimental analysis of the shear capacity of interconnected concrete block walls

description: Abstract Predicting the behavior of interconnected masonry walls is a challenging issue, given the influence of a wide range of factors, such as the mechanical properties of the materials (blocks and mortar) and the way the walls are connected to each other. In this paper, experimental results in H-shaped walls subjected to shear at the vertical interface are introduced with a numerical representation. Concrete blocks and two types of connections (running bond and U-steel anchors) were considered in the tests. Computational modelling was carried out using the Diana® FEM software to complete the study and understand the structural behavior of the masonry panels. The influence of the bonding pattern on the experimental and numerical response was studied and good agreement between the results was found. Moreover, the numerical analysis showed that the computer models of the interconnected walls adequately represented the behavior of the physical models regarding load capacity and cracking patterns.
DOI: 10.6084/m9.figshare.20026875.v1
title: Numerical and experimental analysis of the shear capacity of interconnected concrete block walls

description: Abstract Predicting the behavior of interconnected masonry walls is a challenging issue, given the influence of a wide range of factors, such as the mechanical properties of the materials (blocks and mortar) and the way the walls are connected to each other. In this paper, experimental results in H-shaped walls subjected to shear at the vertical interface are introduced with a numerical representation. Concrete blocks and two types of connections (running bond and U-steel anchors) were considered in the tests. Computational modelling was carried out using the Diana® FEM software to complete the study and understand the structural behavior of the masonry panels. The influence of the bonding pattern on the experimental and numerical response was studied and good agreement between the results was found. Moreover, the numerical analysis showed that the computer models of the interconnected walls adequately represented the behavior of the physical models regarding load capacity and cracking patterns.
DOI: 10.6084/m9.figshare.20026876
title: The effectiveness of TiO2 additions to mortar to maintain initial conditions in terms of its reflectance to solar radiation

description: Abstract Contact of facades with degradation agents and direct incidence of ultraviolet radiation on external coatings make them more opaque over time, affecting their colour and reflectance characteristics. This study evaluated the effect of adding different TiO2 contents to mortars applied in concrete substrates in order to verify the reflectance maintenance on surfaces after exposure over time. Mortar with different concentrations of TiO2 (1%, 5%, 10%) were produced in relation to the total dry premix, added as a powder and compared to unpainted mortar without TiO2 (type "A") and painted mortar without TiO2 (type "B"), both used as a reference for colour and reflectance. Exposed over 16 months to climate conditions in São Paulo, regarding the maintenance of reflectance and solar radiation, the results showed that type "B" (0%TiO2) painted mortar presented the best performance. Type "C" (1%TiO2) and type "D" (5%TiO2) unpainted mortar remained more stable. Type "A" (0%TiO2) and type "E" (10%TiO2) unpainted mortar showed greater differences according to the Just Noticeable Difference (JND) range caused by dirt pick up.
DOI: 10.6084/m9.figshare.20026876.v1
title: The effectiveness of TiO2 additions to mortar to maintain initial conditions in terms of its reflectance to solar radiation

description: Abstract Contact of facades with degradation agents and direct incidence of ultraviolet radiation on external coatings make them more opaque over time, affecting their colour and reflectance characteristics. This study evaluated the effect of adding different TiO2 contents to mortars applied in concrete substrates in order to verify the reflectance maintenance on surfaces after exposure over time. Mortar with different concentrations of TiO2 (1%, 5%, 10%) were produced in relation to the total dry premix, added as a powder and compared to unpainted mortar without TiO2 (type "A") and painted mortar without TiO2 (type "B"), both used as a reference for colour and reflectance. Exposed over 16 months to climate conditions in São Paulo, regarding the maintenance of reflectance and solar radiation, the results showed that type "B" (0%TiO2) painted mortar presented the best performance. Type "C" (1%TiO2) and type "D" (5%TiO2) unpainted mortar remained more stable. Type "A" (0%TiO2) and type "E" (10%TiO2) unpainted mortar showed greater differences according to the Just Noticeable Difference (JND) range caused by dirt pick up.
DOI: 10.17632/szvrdg8268.1
title: Figure 1: Government intervention Indexes 

description: I considered four policy indexes to control for the government response: stringency, government response, containment and health, and economic-support indexes from March 2, 2020 to July 23, 2021. I downloaded data for this from the Oxford COVID-19 Government Response Tracker (OxCGRT) database (Hale et al. 2020).
DOI: 10.17632/yjd5pbxdvm.1
title: Colorectal cancer and primary fibroblast, pericyte conditioned media

description: Proteomic profiling for 200 human cytokines of conditioned media samples as follows:
PM = pericyte-conditioned pericyte media
PCM = Caco2-conditioned pericyte media
PSM = SW480-conditioned pericyte media
PHM = HCT116-conditioned pericyte media
FM = fibroblast-conditioned fibroblast media
FCM = Caco2-conditioned fibroblast media
FSM = SW480-conditioned fibroblast media
FHM = HCT116-conditioned fibroblast media
DOI: 10.6084/m9.figshare.20026878
title: Proposition of a simplified method for predicting hourly indoor temperatures in test cells

description: Abstract Test cells can be used for testing the thermal performance of different passive systems and building components. Predictive methods for estimating indoor air temperatures can further enhance the number of configurations tested without increasing the amount of test cells to be built. Thus, direct comparisons can be drawn for identical background climatic conditions. In its most basic form, formulas are generated by linear regression from relatively short data sets, which provide daily indoor temperature conditions. However, for more detailed analyses, daily indoor temperature predictions may not suffice. In this paper, a method for obtaining hourly indoor air temperature predictions is proposed. It is based on rising and decreasing rates of the indoor temperature fluctuation relative to outdoors, which translates to warming or cooling trends of indoor thermal conditions. The applicability of the method is for test cells. It is a simple method yet capable of predicting the thermal behavior of complex physical processes. The method was tested using measured data from experiments in a test cell, built with conventional building materials in Brazil. Results showed high performance with mean bias of 0.27 °C to measured data and Pearson's r 0.99. When compared to traditional regression-based models, the method proposed showed better results.
DOI: 10.6084/m9.figshare.20026878.v1
title: Proposition of a simplified method for predicting hourly indoor temperatures in test cells

description: Abstract Test cells can be used for testing the thermal performance of different passive systems and building components. Predictive methods for estimating indoor air temperatures can further enhance the number of configurations tested without increasing the amount of test cells to be built. Thus, direct comparisons can be drawn for identical background climatic conditions. In its most basic form, formulas are generated by linear regression from relatively short data sets, which provide daily indoor temperature conditions. However, for more detailed analyses, daily indoor temperature predictions may not suffice. In this paper, a method for obtaining hourly indoor air temperature predictions is proposed. It is based on rising and decreasing rates of the indoor temperature fluctuation relative to outdoors, which translates to warming or cooling trends of indoor thermal conditions. The applicability of the method is for test cells. It is a simple method yet capable of predicting the thermal behavior of complex physical processes. The method was tested using measured data from experiments in a test cell, built with conventional building materials in Brazil. Results showed high performance with mean bias of 0.27 °C to measured data and Pearson's r 0.99. When compared to traditional regression-based models, the method proposed showed better results.
DOI: 10.6084/m9.figshare.20026879
title: Life cycle carbon emissions inventory of brick masonry and light steel framing houses in Brasilia: proposal of design guidelines for low-carbon social housing

description: Abstract This study evaluated the CO2eq emissions during the life cycle of two social housing projects in the city of Brasilia. A house of ceramic brick masonry was compared to a light steel framing one. The life cycle carbon emissions assessment (LCCO2A) with a cradle-to-grave approach was used. The relation between the thermal performance of the wall systems and CO2eq emissions in the operational phase of the houses were evaluated using the DesignBuilder software. In addition, six scenarios composed of three CO2eq emission factors from the Brazilian electrical grid and two schedules of occupation of houses (full and part time) were evaluated. The brick masonry house presented less CO2eq emissions than the light steel framing one. For both houses, the operational phase was the most significant regarding the total CO2eq emissions (50% to 70%), followed by the construction (20% to 30%), maintenance (11% to 20%) and end-of-life (lower than 1%) phases. The results also showed the importance of considering different CO2eq emission factors for the Brazilian context in the operational phase. Finally, based on the results obtained, design guidelines for low carbon social housing were proposed.
DOI: 10.6084/m9.figshare.20026879.v1
title: Life cycle carbon emissions inventory of brick masonry and light steel framing houses in Brasilia: proposal of design guidelines for low-carbon social housing

description: Abstract This study evaluated the CO2eq emissions during the life cycle of two social housing projects in the city of Brasilia. A house of ceramic brick masonry was compared to a light steel framing one. The life cycle carbon emissions assessment (LCCO2A) with a cradle-to-grave approach was used. The relation between the thermal performance of the wall systems and CO2eq emissions in the operational phase of the houses were evaluated using the DesignBuilder software. In addition, six scenarios composed of three CO2eq emission factors from the Brazilian electrical grid and two schedules of occupation of houses (full and part time) were evaluated. The brick masonry house presented less CO2eq emissions than the light steel framing one. For both houses, the operational phase was the most significant regarding the total CO2eq emissions (50% to 70%), followed by the construction (20% to 30%), maintenance (11% to 20%) and end-of-life (lower than 1%) phases. The results also showed the importance of considering different CO2eq emission factors for the Brazilian context in the operational phase. Finally, based on the results obtained, design guidelines for low carbon social housing were proposed.
DOI: 10.17632/zm4kjbn5zh.1
title: SUPPLEMENTARY DATA OF THE PAPER: DPb-MOPSO: A Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization Algorithm

description: This study proposes a Dynamic Pareto bi-level Multi-Objective Particle Swarm Optimization (DPb-MOPSO) algorithm including two parallel optimization levels. At the first level, all solutions are managed in a single search space. When a dynamic change is successfully detected in the objective values, the Pareto ranking operator is used to enable a multiple sub-swarm’ subdivisions and processing which drives the second level of enhanced exploitation. A dynamic handling strategy based on random detectors is used to track the changes of the objective function due to time-varying parameters. A response strategy consisting in re-evaluate all unimproved solutions and replacing them with newly generated ones is also implemented.  The DPb-MOPSO system is tested on a set of DMOPs with different types of time-varying Pareto Optimal Set (POS) and Pareto Optimal Front (POF).  Inverted generational distance (IGD), mean inverted generational distance (MIGD), and hypervolume difference (HVD) metrics are used to assess the DPb-MOPSO performances.
DOI: 10.6084/m9.figshare.20026881
title: Optimized indoor daylight for tropical dense urban environments

description: Abstract Studies using metrics related to dynamic sky conditions for indoor daylight performance assessment in urban environment are rare in tropical latitudes. This study applied one of these metrics, the spatial Daylight Autonomy (sDA 300,50% ≥75%, IES LM 83-12) for Cuiabá (15ºS, 56ºW, Brazil), a savanna climate city with a high frequency of partly cloudy skies. Parametric simulations were used to investigate the availability of daylight in dense urban areas. So daylight conditions inside a reference room with varied depths located within a continuous urban canyon were simulated with Radiance/Daysim in Grasshopper/Honeybee. Dimensions of the street and heights of front buildings (obstructions) are also varied in order to observe the relation between the sky angle and the sDA, for the four main cardinal directions. The results of regression analysis for this case study showed that among all evaluated parameters, room depth tended to be the most relevant for the optimization of indoor daylight. Finally, limitations of this approach and opportunities for further investigations were discussed.
DOI: 10.6084/m9.figshare.20026881.v1
title: Optimized indoor daylight for tropical dense urban environments

description: Abstract Studies using metrics related to dynamic sky conditions for indoor daylight performance assessment in urban environment are rare in tropical latitudes. This study applied one of these metrics, the spatial Daylight Autonomy (sDA 300,50% ≥75%, IES LM 83-12) for Cuiabá (15ºS, 56ºW, Brazil), a savanna climate city with a high frequency of partly cloudy skies. Parametric simulations were used to investigate the availability of daylight in dense urban areas. So daylight conditions inside a reference room with varied depths located within a continuous urban canyon were simulated with Radiance/Daysim in Grasshopper/Honeybee. Dimensions of the street and heights of front buildings (obstructions) are also varied in order to observe the relation between the sky angle and the sDA, for the four main cardinal directions. The results of regression analysis for this case study showed that among all evaluated parameters, room depth tended to be the most relevant for the optimization of indoor daylight. Finally, limitations of this approach and opportunities for further investigations were discussed.
DOI: 10.17632/7g3jk4hc4k.1
title: Vol. 15(2), 2022

description: To visit webpage containing full articles (in Persian), please visit: https://escs.birjand.ac.ir/issue_294_307.html?lang=en
DOI: 10.17632/dx4w8ncdvn.1
title: Effects of Se on Tissue Culture Seedlings of Sophora tonkinensis

description: The raw data of Se treatment on Sophora tonkinensis
DOI: 10.17632/kj94z94s4r.3
title: Conceptual Understanding: What is Students’ Spatial Thinking Design in Geometry Learning?

description: Data for classification indicator of spatial thinking. 

The change of paradigms in national assessment began in 2021 became a particular issue for teachers in improving student competencies. The main issue encountered by teachers is the way to improve student competencies in mathematic learning, especially in geometry. This writing is aimed to outline spatial-thinking indicators with six relevant background components of realistic geometry, and to describe students’ spatial-thinking design to acquire a geometric comprehension by using google Sketch-Up. The spatial-thinking indicators are outlined with six background components of realistic geometry by using Explanatory Factor Analysis (EFA) with JAPS software version 0.15.0.0. The acquired research results show the correlations between sighting and projecting, orientating and locating, transforming, constructing and drawing, measuring and calculation, and spatial reasoning variables. Spatial-thinking indicators are outlined in six component groups of realistic geometry. The results can be used as the consideration for teachers in identifying students’ conceptual understanding to support the improvement of student competencies.
DOI: 10.17632/k36jbhrywb.1
title: Supplemental data by Ukita et al.

description: They are supporting data of the article entitled "Environmental factors affecting the conception rates of nulliparous and primiparous dairy cattle" in Journal of Dairy Science.
DOI: 10.17632/3jsh4y2bw4.1
title: Datasets of harmonized risk assessment of grapevine downy mildew and phenological observations in eight Italian regions (2012-2017) 

description: Phytosanitary bulletins released at weekly interval by eight Italian regional plant protection services in the growing seasons 2012-2017 were used to derive an harmonized dataset of grapevine downy mildew infection risk and phenological observations. The downy mildew infection risk (n = 8816) was classified using a 5-point Likert response item ranging from ‘very low’ (1) to ‘very high’ (5) by six independent evaluators with domain expertise in agronomy, phytopathology and agrometeorology. Common criteria were used in the risk assessment, considering i) the presence of disease symptoms in field surveys, ii) the host phenological susceptibility, iii) the weather forecasts in the next week from the bulletin release date, iv) the advice to apply a fungicide treatment and v) the outputs of epidemiological models. The phenological observations are provided as BBCH codes (n = 1689), which were either transcribed from the phytosanitary bulletins or derived from the narrative description of the visual observation. Phenological data refer to the main early and late grapevine varieties in the eight regions (NUTS-2 administrative unit). Each record is associated with the NUTS-2 and NUTS-3 (31 provinces) administrative unit of reference, to the growing season (2012-2017), and refers to the individual risk assessment by the six evaluators. The dataset is hosted by the Centre for Agriculture and Environment of the Italian Council for Agricultural Research and Economics. These data could be helpful to researchers who develop either grapevine phenological models or process-based epidemiological predictive algorithms in order to refine their calibration and evaluation, as well as being a valuable resource for stakeholders in charge of evaluating the effective implementation of Integrated Pest Management in the decision-making process of public plant protection services in Italy.