cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7221753
title: Quantitative NMR interpretation without reference

description: The publication describes the quantitative interpretation of the 1D Proton NMR experiment using only absolute signal intensities with the variation of common experimental parameters and their application. The data provided contains all NMR data (raw, processed and integrated) and the Apple Numbers v12.1 spreadsheet used for the interpretation and graph creation.
DOI: 10.5281/zenodo.7221752
title: Quantitative NMR interpretation without reference

description: The publication describes the quantitative interpretation of the 1D Proton NMR experiment using only absolute signal intensities with the variation of common experimental parameters and their application. The data provided contains all NMR data (raw, processed and integrated) and the Apple Numbers v12.1 spreadsheet used for the interpretation and graph creation.
DOI: 10.17632/t3f3w77fjk.2
title: Dataset: BASIN: a workflow for objective statistical analysis of bioimage datasets

description: This dataset include output from BASIN workflow on over 500 image pairs involving four biomedical science problems and nine research labs’ use cases. The analysis result was manually curated with subject matter experts using a double-blind survey.
DOI: 10.17632/t3f3w77fjk.1
title: Dataset: BASIN: a workflow for objective statistical analysis of bioimage datasets

description: This dataset include output from BASIN workflow on over 500 image pairs involving four biomedical science problems and nine research labs’ use cases. The analysis result was manually curated with subject matter experts using a double-blind survey.
DOI: 10.17632/t3f3w77fjk.3
title: Dataset: BASIN: A semi-automatic workflow for objective statistical analysis of bioimage datasets

description: This dataset includes output from BASIN workflow on about 500 image pairs involving five different bioscience topics. The analysis result was manually curated with subject matter experts using a double-blind survey. This dataset also contains supplementary figures and tables associated with the article of the same title.
DOI: 10.17632/797f2kfgbp.1
title: Multivariate Hyperspectral Data Analytics Across Length Scales to Probe Compositional, Phase, and Strain Heterogeneities in Electrode Materials

description: This dataset accompanies the peer-reviewed manuscript entitled "Multivariate Hyperspectral Data Analytics Across Length Scales to Probe Compositional, Phase, and Strain Heterogeneities in Electrode Materials" by Santos et al.

This repository includes:
-Hyperspectral imaging datasets collected for V2O5 nanoparticles
-Reference X-ray absorption data for several LixV2O5 compositions
-Source code for workflows which generate composition and stress maps from hyperspectral imaging datasets
DOI: 10.17632/xjzjfp2z8y.1
title: The dimensionless Nusselt number data pertaining to a catalytic process of steam-methanol reforming for the production of hydrogen

description: The dimensionless Nusselt number data are obtained for a catalytic process of steam-methanol reforming for the production of hydrogen. In fluid dynamics, the Nusselt number is the ratio of convective to conductive heat transfer at a boundary in a fluid. Convection includes both advection and diffusion. The conductive component is measured under the same conditions as the convective but for a hypothetically motionless fluid. It is a dimensionless number, closely related to the fluid's Rayleigh number. A Nusselt number value of zero represents heat transfer by pure conduction. A Nusselt number value between zero and 10 is characteristic of slug flow or laminar flow. A larger Nusselt number corresponds to more active convection, with turbulent flow typically in the 100-1000 range. A similar non-dimensional property is the Biot number, which concerns thermal conductivity for a solid body rather than a fluid. The mass transfer analogue of the Nusselt number is the Sherwood number. The Nusselt number is the ratio of convective to conductive heat transfer across a boundary. The convection and conduction heat flows are parallel to each other and to the surface normal of the boundary surface, and are all perpendicular to the mean fluid flow in the simple case. Selection of the characteristic length should be in the direction of growth or thickness of the boundary layer; some examples of characteristic length are: the outer diameter of a cylinder in external cross flow perpendicular to the cylinder axis, the length of a vertical plate undergoing natural convection, or the diameter of a sphere. For complex shapes, the length may be defined as the volume of the fluid body divided by the surface area. The thermal conductivity of the fluid is typically evaluated at the film temperature, which for engineering purposes may be calculated as the mean-average of the bulk fluid temperature and wall surface temperature. In contrast to the definition given above, known as the mean Nusselt number, the local Nusselt number is defined by taking the length to be the distance from the surface boundary to the local point of interest. The mean Nusselt number is obtained by integrating the expression over the range of interest. The Nusselt number may be obtained by a non-dimensional analysis of Fourier's law since it is equal to the dimensionless temperature gradient at the surface.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.17632/msss8mwfm2.1
title: Serum 1H NMR-based metabolomics of sole lesion development in Holstein cows

description: Supplementary Table 1. Details of the spectral bins selected as representative of each annotated metabolite and used in statistical analysis, including the Bovine Metabolome database identification number (BMDB ID).

Supplementary Table 2. Details of the unlabeled spectral bins (not annotated to a metabolite) used in the statistical analysis.

Supplementary Table 3. Results of univariable analysis with Wilcoxon signed-rank tests. Data were analyzed in 17 prespecified subsets split by time point, parity, and outcome definition; the control group in all cases were animals without sole lesions, outcomes were either cases of sole new hemorrhage (New SH), cases of new sole ulcers (New SU), those two groups combined (New SH/SU) or all cases of sole ulcers (All SU).

Supplementary Table 4. Variable selection stability results including the mean log (base 2) fold-change (Log2FC) and the baseline stability thresholds (T99 and T100, equivalent to an expected 1% and 0% false positive rate, respectively). Data were analyzed in 17 prespecified subsets split by time point, parity, and outcome definition; the control group in all cases were animals without sole lesions, outcomes were either cases of sole new hemorrhage (New SH), cases of new sole ulcers (New SU), those two groups combined (New SH/SU) or all cases of sole ulcers (All SU).
DOI: 10.17632/9md8g25gnx.1
title: Active caseinate/guar gum films incorporated with gallic acid: physicochemical properties and release kinetics

description: Composite active films based on sodium caseinate/guar gum were prepared by the incorporation of gallic acid at different concentrations to investigate its effect on the structure, physicochemical properties, and the release kinetics from the film. Water vapor permeability (WVP) of films decreased up to 21% after the incorporation of gallic acid in the film. The gallic acid released from the films GAI*60 ug.ml-1, GAII*250 ug.ml-1 and GAIII*650 ug.ml-1 was 67 %, 32 % and 30 % respectively. Similarly, the diffusion coefficient was also affected by an increase in the concentration and was: 8.10 ×10-12 m2s-1, 6.23 ×10-12 m2s-1, and 4.5 ×10-12 m2s-1 for GAI, GAII and GAIII films respectively.
DOI: 10.17632/m7pcjnsrc9.1
title: Active Biopolymer Coating Based on Sodium Caseinate: Physical Characterization and Antioxidant Activity

description: The objective of this work is to investigate the effect of sodium caseinate concentration on some physical-chemical properties of coating solutions and films obtained by casting as a starting point for the development of an active coating for minimally processed fruits or vegetables. Minimally processed fennels were considered as a study case to evaluate the effect of composition and viscosity of sodium caseinate solutions on coating thickness on fennel, after the dipping phases. The antioxidant properties of active sodium caseinate coating, added with gallic acid or rosemary oil, were also evaluated. Details on materials and methods are reported in Valentino et al., 2020 (doi.10.3390/coatings10080706)
DOI: 10.6084/m9.figshare.21357150.v1
title: Archive of analyses.

description: Archive of analyses.
DOI: 10.17632/h8crhcysvf.1
title: test

description: Gujarati is the formalized communication language in the state of Gujarat and united territory of Dadra and Nagar Haveli and Div and Daman in India predominantly spoken by the Gujarati. Gujarati language contained a wealthy set of characters that includes vowels, consonants, digits, various signs. This dataset contains 75,000 grayscale isolated handwritten character images with the size of 28 X 28 pixels. This dataset contains sample images for 34 consonants, 12 vowels, 12 vowel signs and 5 various signs. This dataset could be used for the Gujarati Handwritten Character recognition in the field of Natural Language Processing (NLP) and Deep Learning .
DOI: 10.6084/m9.figshare.21357150.v2
title: Log file: analysis.

description: Log file: output with results from the software that has been used for the analysis.
DOI: 10.6084/m9.figshare.21357147
title: 50 images used in experiment

description: Fifty images were selected from an online database representing ten types of architectural spaces: offices, residential spaces, educational spaces, indoor sports areas, retail stores, industrial spaces, restaurants, healthcare facilities, museums, and houses of worship. Forty naïve participants (17 male and 23 females, an average age of 27) took part in this study conducted in the Penn State University Lighting Lab. The visual preference ranged from “Extremely unpleasant” to “Extremely pleasant” in a 9-point scale. For the next three questions (visual complexity, visual clarity, and colorfulness), ranges of “Extremely simple” to “Extremely complex”, “Extremely unclear” to “Extremely clear”, and “Not colorful” to “Extremely colorful” were provided for each judgment. A separate “I do not know / I do not care” option was included to reduce bias and enhance the reliability of the scales.
DOI: 10.17632/b2ywnzvv82.1
title: RSV scripts and spreadsheets

description: This script package is intended to be used as supplementary material for the manuscript: 'Relative sensitivity value (RSV): a metric for measuring input parameter influence in LCA modeling' by Akul Bhatt and Bassim Abbassi. 

This script package can be used to calculate, plot and export RSV for any LCA model.

The MATLAB script 'RSVscript.m' is the main file used to calculate RSVs. It inputs the parameter space X using the script 'LCA_import_param.m' and runs the LCA model script 'livestock_LCA_model.m' to determine the impacts I for each local perturbation, from which the OAT sensitivity space is filled and RSVs are calculated. 

The script 'LCA_import_param.m' imports the parameter variables and their associated baseline values as a structure X into the workspace. The script 'livestock_LCA_model.m' uses the structure X to calculate the relevant impact scores and stores into an array I. Based on the parameter structure X and the impact array I (both stored in the workspace), the script 'RSVscript.m' calculates RSV for each parameter, life cycle phase and impact category. The script also exports the RSVs to the spreadsheet LCA Model 'LCA Model Input-Output.xlsx'. 

Note that an LCA practitioner can replace the current livestock LCA model script with their own LCA model script within 'RSVscript.m' to determine RSV for their own model. The only requirements are that variables X and I be used to represent the input parameter structure and output impact array in the workspace, respectively. 

The script 'OAT_plot.m' plots the local sensitivity of all input parameters to impacts across all life cycle phases and impact categories. This can be useful in visually verifying model linearity.
DOI: 10.17632/7c5c7mpvk6.1
title: A local hydraulic resistance-based pore-throat segmentation method for pore-network modeling

description: The relative permeability data by pore network modeling with different types of networks for Berea sandstone, Gildehauser sandstone, and Ketton limestone.
DOI: 10.17632/7c5c7mpvk6.2
title: A pore-throat segmentation method based on local hydraulic resistance equivalence for pore-network modeling

description: The absolute/relative permeability data by pore network modeling with different types of networks.
DOI: 10.6084/m9.figshare.21347628
title: PRISMA_2020_checklist.docx

description: Prisma check list for Genome wide association study, systematic analysis
DOI: 10.17632/ff4gfjf7vv.1
title: Data for: The impact of institutional investors’ corporate site visits on corporate social responsibility

description: The file contains data on institutional investors' corporate site visits, corporate social responsibility and other variables in our study.
DOI: 10.17632/syffvcc92s.1
title: Data for: Prevalence of breast cancers among women presenting with palpable breast lump in a tertiary care hospital - A cross-sectional descriptive study

description: 1. SPSS file with data of Breast Lump patients.
DOI: 10.6084/m9.figshare.21356205
title: Sample scRNA-seq data

description: Single cell RNA-seq subset from Lee et al.'s (https://doi.org/10.1016/j.neuron.2020.06.021) dataset
DOI: 10.6084/m9.figshare.21357168
title: Using epistemic instructional activities to support secondary science teachers’ social construction of knowledge of anthropogenic climate change during a professional learning experience

description: This article describes an innovative intervention used within a professional learning experience (PLE) for early-career high school science teachers. The intervention aimed to develop participants’ conceptual understanding of climate change while supporting engagement in learning via scientific practices through use of epistemic instructional activities. Participants were 18 teachers from 16 different public schools across the US, all serving historically underserved student populations. The intervention consisted of a sequence of three learning experiences, each of which engaged participants in learning through a unique epistemic tool or activity. We describe each activity and offer examples of our developed materials. Additionally, we use qualitative coding to analyze teacher-produced artifacts to evaluate the intervention. Results show: 1) a data analysis epistemic activity supported learner attention to variation in climate data; 2) an explanation-focused epistemic activity supported integration of several concepts within social constructions of mechanistic explanations; and 3) a claims evaluation epistemic activity supported participants’ linking of concepts about variation to mechanistic explanations of climate change, as well as their understanding of argumentation in general. We suggest that other educators could benefit from adapting our intervention to meet the needs of their contexts. Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.1986785 .
DOI: 10.6084/m9.figshare.21357168.v1
title: Using epistemic instructional activities to support secondary science teachers’ social construction of knowledge of anthropogenic climate change during a professional learning experience

description: This article describes an innovative intervention used within a professional learning experience (PLE) for early-career high school science teachers. The intervention aimed to develop participants’ conceptual understanding of climate change while supporting engagement in learning via scientific practices through use of epistemic instructional activities. Participants were 18 teachers from 16 different public schools across the US, all serving historically underserved student populations. The intervention consisted of a sequence of three learning experiences, each of which engaged participants in learning through a unique epistemic tool or activity. We describe each activity and offer examples of our developed materials. Additionally, we use qualitative coding to analyze teacher-produced artifacts to evaluate the intervention. Results show: 1) a data analysis epistemic activity supported learner attention to variation in climate data; 2) an explanation-focused epistemic activity supported integration of several concepts within social constructions of mechanistic explanations; and 3) a claims evaluation epistemic activity supported participants’ linking of concepts about variation to mechanistic explanations of climate change, as well as their understanding of argumentation in general. We suggest that other educators could benefit from adapting our intervention to meet the needs of their contexts. Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.1986785 .
DOI: 10.17632/832yk2zggp.1
title: Oxidation and reforming reaction rate data pertaining to micro-structured heterogeneous reaction systems under laminar flow conditions

description: The oxidation and reforming reaction rate data are obtained for micro-structured heterogeneous reaction systems under laminar flow conditions. The reactor system comprises two separate sets of flow channels, which are located between spaced, highly heat-conductive metal or ceramic separating walls. The medially located, bi-catalytic separating walls have different catalysts on opposed surfaces. These catalysts are selected for the particular reaction taking place in the adjacent reaction zone. The reactor provides for continuous and simultaneous reaction of two different process reaction streams in the channels defined between the walls, wherein a first process reaction stream undergoes a high temperature exothermic reaction in the first set of flow channels and a second process reaction stream undergoes an endothermic heat-consuming reaction in the second set of flow channels separated from the first set of flow channels by the heat transfer separating walls. More specifically, the reactor system includes a set of reforming channels for steam reformation of methanol and a set of oxidation channels for heating the reactor system to operating temperature. A separating wall therefore separates two adjacent reaction zones and also functions to transfer heat from the oxidation occurring at the catalyst surface in the oxidation zone directly to the reforming catalyst coated on the opposed surface. The reactor system is operated using excess air and water steam. Methanol and air are mixed homogeneously and the mixture is fed directly into the oxidation channels in a specific ratio. Preferably, excess water steam is provided to the reactor to increase efficiency and to maintain operability, for example, to prevent carbon formation. The heat release and consumption due to a surface reaction must be included in the model. Endothermicity or exothermicity of surface reactions contribute to the energy balance at an interface. Heat fluxes in the solid phase are balanced by chemical heat release at the surface. The porous media model is applied to the computational domains of the catalytically active layers. The porous media involve surface reactions. Each porous medium is modeled by adding a momentum source term to the standard momentum conservation equations. The source term is composed of two parts: a viscous loss term and an inertial loss term.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.17632/3mtsnpy3vt.1
title: Dataset for Financial Literacy and Mutual Fund Investment Behaviors: Evidence from South Korea during the Financial Crisis

description: The importance of financial knowledge on efficient investment behaviors is well known. However, few studies have examined the relationship between financial literacy and investment behaviors under different economies' conditions. Using the 2007-2016 Fund Investors Survey from South Korea, we investigate the heterogeneous effects of financial literacy on individual investment decisions during and after the 2008 financial crisis. While differentiating objective and subjective financial knowledge, we find that only subjective knowledge is positively related to participation in financial markets and negatively related to fund exit decisions during the financial crisis (2007-2008). However, in the post-crisis period (2009-2016), both subjective and objective financial knowledge affect fund investment behaviors. We further examine these results through a knowledge calibration mechanism. We present suggestive evidence that the effect of subjective knowledge during the financial crisis is not driven by the overconfident investors whose subjective knowledge level deviates from objective knowledge but by the group whose subjective and objective knowledge are highly calibrated.
DOI: 10.17632/dz79p56wbg.1
title: Does the Small Business Programme Benefit Self-Employed Workers? Evidence from Nicaragua

description: Business and skills training programmes have been a popular social policy intervention to promote self-employment and improve its performance in developing countries. We study the Small Business of the Family Economy (SBFE) programme, a government business training programme designed to support self-employed workers in Nicaragua. With data from three survey rounds of the Nicaragua Living Standards Measurement Survey, we use a difference-in-differences strategy exploiting variation across time and industry in terms of eligibility to the programme. Our estimates suggest that the SBFE programme does not increases self-employed workers’ income overall but we find strong heterogeneous treatment effects for female self-employed workers with low educational attainment, which could be channeled by formal business training, working months, and having a second job.
DOI: 10.17632/dz79p56wbg.2
title: Does the Small Business Programme Benefit Self-Employed Workers?  Evidence from Nicaragua

description: Business and skills training programmes have been a popular social policy intervention to promote self-employment and improve its performance in developing countries. We study the Small Business of the Family Economy (SBFE) programme, a government business training programme designed to support self-employed workers in Nicaragua. With data from three survey rounds of the Nicaragua Living Standards Measurement Survey, we use a difference-in-differences strategy exploiting variation across time and industry in terms of eligibility to the programme. Our estimates suggest that the SBFE programme does not increases self-employed workers’ income overall but we find strong heterogeneous treatment effects for female self-employed workers with low educational attainment, which could be channeled by formal business training, working months, and having a second job.
DOI: 10.17632/pbryhdgx9t.1
title: LINF_330015300

description: beta tubulin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/hw38xm77b6.1
title: LINF_330015200

description: beta tubulin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/25j62r27cd.1
title: LINF_330015100

description: beta tubulin
Leishmania infantum (strain JPCM5)
DOI: 10.17632/c2gxf2k5yc.1
title: LINF_330015000

description: beta tubulin
Leishmania infantum (strain JPCM5)