cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/69by6zfknv
title: Peer Scaffolding Using WhatsApp

description: This study explored the Omani EFL learners’ perception of WhatsApp as a peer scaffolding tool, in online teaching and learning (henceforth OTL). Using a questionnaire, the data was collected from 138 Omani undergraduate EFL learners majoring in English. The questionnaire targeted the learners’ overall perception of the usefulness of using WhatsApp and their preference for peer scaffolding strategies when using WhatsApp during OTL. The participants have an increasing appreciation for using WhatsApp as a platform for peer interaction and collaboration especially during and after the OTL. The students use a variety of peer scaffolding strategies via WhatsApp with procedural strategies on-task completion being the most preferred. The findings indicate that WhatsApp is an affordable, accessible, and easy-to-use social media platform that offers students a virtual ZPD for language learning. In addition, peer scaffolding via WhatsApp is equally multidimensional as face-to-face peer scaffolding.
DOI: 10.17632/47vh45h6f3
title: Data for: Seismic demand amplification in earth dam by dynamic dam-reservoir interactions (DRI) under near fault pulse type ground motions

description: The dataset contains files bearing seismic response data and other allied data used to investigate the seismic demand amplification in an earth dam due to pulse-type ground motions considering dynamic dam-reservoir interactions. The data is obtained from the non-linear finite element analyses of the dam subjected to various pulse and non-pulse type earthquake ground motions. The finite element analysis is performed using the commercially available finite element code ABAQUS (Version 2020).
DOI: 10.17632/c52yytk5sj
title: Workisa Temesgen

description: Executive Summary
Poultry production plays a vital role in Ethiopia's economy, contributing significantly to the GDP and employment rates. The sector provides income and food security for many Ethiopians, making it a engine of economic development in the country. The poultry industry in Ethiopia is poised for growth and offers opportunities for further development and investment. By understanding the key characteristics of poultry production in the country and identifying successful practices and also our company and government provides ''Yelemat Tirufat" program that aims to boost productivity and production of dairy, eggs, chicken and honey and related hive products we are also eagerly passionate to play our crucial role in participating the program towards enhancing the sector's contribution to the economy and improving food security for the population. The project is written on the establishment of a poultry farm that will specialize in the production of egg and breeding of broilers for both household and industrial use. The project (firm) will require an initial capital of Br. 1,539,400.00 million that will be used for poultry house construction, purchasing of pullets, buying of equipment, feeds chicks etc. while the payback period is 4.7 year so with all this we can proudly say that this project is feasible and viable. The management team is made up of qualified persons who had working experience and have attended tertiary institution. This project will provide employment the communities and food for the region as well as for Nation.
DOI: 10.17632/r4v7gsvmsx
title: Semiparametric Least Squares Estimation of Binary Choice Panel Data Models with Endogeneity

description: The replication package accompanying
"Semiparametric Least Squares Estimation of Binary Choice Panel Data Models with Endogeneity",
by Anastasia Semykina, Yimeng Xie, Cynthia Fan Yang, and Qiankun Zhou,
January 2024
DOI: 10.17632/g47f2f5gxh
title: Data for: Study of the permeability in the Opalinus clay series (Mont Terri - Switzerland) using the steady state method in Hassler cell

description: Please find below the data used in this study (measurements, plot parameters, hydraulic conductivity...)
DOI: 10.17632/jtd3khfznw
title: Study of sulfoglycolysis in Enterococcus gilvus reveals a widespread bifurcated pathway for dihydroxypropanesulfonate degradation

description: Biochemical experiments and growth experiments
DOI: 10.17632/tn3bb6gtxt
title: Data for 'Precision Oncology, Signaling Pathways Reprogramming and Targeted Therapy: A Holistic Approach to Molecular Cancer Therapeutics'

description: Cancer is a fatal genetic disease with different aspects of complexity, including cancer immune evasion, treatment resistance and recurrence, requiring optimized treatment for proper cure. Molecular studies have revealed that tumors are extremely heterogeneous in nature, leading to the complexity of cancer progression that is ultimately linked to its genetic machinery. It is important to note that patients with the same types of cancer respond differently to cancer treatments, indicating the need for treatment options specific to each patient. Thus, in-depth genomic study of patient's tumor will be needed to fully understand the determinants of cancer initiation and progression for effective targeted therapy. Precision oncology has evolved as a form of cancer therapy focused on genetic profiling of tumors to identify molecular alterations involved in cancer manifestation for tailored individualized treatment of the disease. There has been a deluge of formulation and mass production of anticancer agents in recent years, mainly due to advances in genomic technologies enabling precise targeting of oncogenic pathways involved in disease. This article aims to briefly explain the foundations and frontiers of precision oncology in the context of advancements in the tools and techniques exploited in the process in order to assess its scope and importance to realize the intended goals.
DOI: 10.17632/9rj7nd4j7g
title: Landslide Susceptibility Prediction

description: The landslide susceptibility prediction of the integrated framework that combines different unit extraction methods, which is stratified into five landslide susceptibility levels: very high (value = 5), high (value = 4), moderate (value = 3), low (value = 2), and very low (value = 1).
DOI: 10.17632/zp93xwnykd
title: Data for: Fractional seroprevalence rates in common prey species can cause more than half of feral cats to be exposed to Toxoplasma gondii annually

description: R code to reproduce transmission model/equation and reproduce Figure 1
DOI: 10.17632/9yph9rdkwc
title: Red Beet Fiber NMR

description: The data provided here include the 1D and 2D NMR spectra of four red beet fiber fractions, the pomace (PF), water-soluble (WSF), water-insoluble (WIF), and microwave-extracted pectin (10/80 min/˚C).  The anomeric 1H-1H coupling constants and chemical shift resonances of the observed carbohydrate residues are reported.  Additional analyses can be found in the associated paper "Structural characterization of red beet fiber and pectin” (Hotchkiss et al., 2022, https://doi.org/10.1016/j.foodhyd.2022.107549).

The dominant anomeric resonances in the 1D-1H NMR spectrum of the WSF (Figure 1), as well as the PF (Figure 2) are at 5.42 ppm, with smaller intensity resonances at 5.23 and 5.09 ppm, followed by increasingly weaker resonances at 5.16, 5.26, 4.56, 5.31 and 5.13 ppm. The resonance at 5.42 ppm is an apparent doublet with a JH1H2 coupling constant of 2.8~3.42 Hz, which is consistent with H2 and H1 being in an axial-equatorial, or conformation.  These peaks are assigned as α-Glc(1) and α-Glc(2). Similarly, the weak resonance at 5.26 ppm is a doublet with JH1H=3.15 Hz, which is also conformation, and is assigned as α-Glc(3).  The weak doublet centered at 4.56 ppm has a JH1H2 = 7.51 Hz, which indicates an axial-axial orientation, or conformation, and is assigned as β-Glc(2).  

In the 1D-1H NMR spectrum of red beet WIS (Figure 3), the dominant resonance is at 4.65 ppm (doublet, JH1H2 = 8.1 Hz, conformation) and is assigned as β-Glc(1); this resonance is obscured by the water HOD peak in the water-soluble and pomace fractions. The next most intense peak in the water-insoluble fraction is at 5.24 ppm (doublet, JH1H2 = 3.8 Hz, conformation) which is assigned as α-Glc(3). Weaker peaks are found at 5.10 ppm (broad, JH1H2 = small, conformation), which is assigned as α-Ara, and at 4.52 ppm (doublet, JH1H2 = 7.5 Hz, conformation), which is assigned as β-Glc(2).  The weakest anomeric peak observed is at 5.42 ppm (doublet, JH1H2 = 4.4 Hz, conformation), arising from α-Glc(2).

All of the fractions contain many non-sugar resonances (0.5-3 ppm) of their 1D-1H spectra (Figures 1-3), that are primarily aliphatic, and comprise about 10% of the proton spectral intensity in WSF and PF, and about 13% of the proton spectral intensity in the WIF.  Comparing the sugar resonance regions of the 1D-13C NMR spectra (Figure 4) for WSF, PF and WIF, it is seen that WSF and PF have very similar spectra, both in terms of resonances and intensities.  The WIF 1D-13C spectrum, however, the resonances associated with Ara (~110 ppm) and Glc (~99 ppm) are not observed, as well as decreased sucrose resonances (Glc at ~95 ppm and Fru at ~84 ppm). All of these resonances can be weakly detected in the 2D spectra, however, indicating that while their concentration is diminished, they are still present.
DOI: 10.17632/cbcp37t8gf
title: MPI + OpenACC: Accelerating radiation transport mini-application, minisweep, on heterogeneous systems

description: Architectures are rapidly evolving, and exascale machines are expected to offer billion-way concurrency. We need to rethink algorithms, languages and programming models among other components in order to migrate large scale applications and explore parallelism on these machines. Although directive-based programming models allow programmers to worry less about programming and more about science, expressing complex parallel patterns in these models can be a daunting task especially when the goal is to match the performance that the hardware platforms can offer. One such pattern is wavefront. This paper extensively studies a wavefront-based miniapplication for Denovo, a production code for nuclear reactor modeling. We parallelize the Koch–Baker–Alcouffe (KBA) parallel-wavefront sweep algorithm in the main kernel of Minisweep (the miniapplication) using CUDA 9.0, OpenMP 4.0 (SIMD) and OpenACC 2.6. Our OpenACC implementation running on NVIDIA’s next-generation Volta GPU boasts an 85.06x speedup over serial code, which is larger than CUDA’s 83.72x speedup over the same serial implementation. We also explore the scalability of our solution using MPI to decompose our simulation domain, allowing us to run on many nodes and accelerators present in state-of-the-art HPC systems. Our parallelization effort across platforms also motivated us to define an abstract parallelism model that is architecture independent, with a goal of creating software abstractions that can be used by applications employing the wavefront sweep motif.
DOI: 10.17632/mc8gt35xb9
title: Rodent Cryptosporidium 18S DNA consensus sequences based on metabarcoding data

description: The present file contains rodent Cryptosporidium 18S DNA consensus sequences based on metabarcoding data. The data reflect Cryptosporidium-specific DNA identified in samples from wild murid and cricetid rodents sampled in Denmark.
DOI: 10.17632/mdrwc2nntp
title: LINF_070011300

description: Polynucleotide 5'-hydroxyl-kinase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mj5yhtj932
title: Data for: HIGH-VOLUME MARBLE SUBSTITUTION IN CEMENT-PASTE: TOWARDS A BETTER SUSTAINABILITY
DOI: 10.17632/s8kf3676dn
title: Data Paper Indonesian Media in Reporting on Policies to Prevent Sexual Violence in the Campus Environment: A Study of Critical Discourse Analysis

description: Appendix A
Appendix B
Table 1. 
Table 2.
Reference
DOI: 10.17632/m4yf4rzxbn
title: Data for: Volatility-of-Volatility Risk in Asset Pricing

description: VOV data. 1) VOV: For each day, we estimate VOV by calculating the realized bipower variance from a series of five-minute model-free implied market variance within the day, using the high-frequency S&P 500 index option data. 2) ΔVOV: The innovations in market volatility-of-volatility (ΔVOV) is computed as the ARMA(1,1) model residual of the market volatility-of-volatility (VOV). To calculate implied volatility, we use the tick-by-tick quote data for the S&P 500 index (SPX) options from CBOE’s Market Data Report (MDR) tapes over the time period from January 1996 to December 2015. Citation: Chen, Te-Feng, Tarun Chordia, San-Lin Chung, and Ji-Chai Lin. 2021. VOV Risk in Asset Pricing. Review of Asset Pricing Studies. (The VOV data is available at https://www.dropbox.com/s/es8sew1zpu9xciu/VOV-data-RAPS.xlsx?dl=0)
DOI: 10.17632/cgkghx79my
title: Mouse population genetics phenocopies heterogeneity of human Chd8 haploinsufficiency. Tabbaa et al.

description: Original dataset of trait values and strain, sex, and Chd8 genotype information for every subject included in the study.
DOI: 10.17632/bpsgb73r9p
title: Seismic reflection data of Ganyanchi basin, NE Tibet

description: Seismic reflection data for 3 sections in the Ganyanchi pull-apart basin, Haiyuan fault, NE Tibet
DOI: 10.17632/rvdnt639c2
title: Design of solar cell active layer through genetic algorithm

description: Microstructure design is a crucial part of developing organic solar cells. Organic solar cells have the potential to become ubiquitous amongst power generation due to their inexpensiveness and ease of fabrication. Although achievements in the chemical properties of the solar cells have been achieved in recent years, a lack of progress in morphology has greatly inhibited organic solar cell adoption. In this, it is illustrated how high-performance microstructures can be developed rapidly via a graph-based strategy. This is in stark contrast to the trial-and-error methods currently employed for organic solar cell microstructure optimization. Treating the microstructure of a material system as graphs allows modular and extensible models that are simple to query and evaluate. The graph surrogate model quickly maps the microstructures properties and integrates well with optimization algorithms while elegantly integrating prior domain knowledge into the microstructure design process. This use of graph-based modeling and probabilistic optimization results in a microstructure design with a 40.29% higher efficiency than conventional solar designs. Fractal analysis was also used to further prove the validity of the designed morphologies. This was accomplished through analyzing models analogous to the function of the solar cell and comparing their similarity with the designed fractal structure. To conclude, graph-based probabilistic optimization led to the identification of a class of microstructures that feature significantly higher efficiencies than currently leading solar cells. It is anticipated that coupling this method with fractal analysis techniques will be widespread for use in optimizing material morphologies. The following dataset includes all code used in microstructure design and fractal analysis, specifically: the creation of a weighted, undirected graph representing the microstructure configuration of chemicals in the solar cell; the approximation of solar cell efficiency through graph-based querying; the optimization of the system through a probabilistic genetic algorithm; and fractal dimension calculator.
DOI: 10.17632/2kd3hph7cd
title: Dataset on Analysis of Biological Activity of Sulfamide Derivatives as Antimicrobial Agents: An Insilico approach

description: The sulfamides derivatives were modeled using Spartan ‘14 and the basis set used was 6-31G*. The atoms present in the compounds were put under investigation. In addition to optimization, UV/Vis spectrometer, IR, NMR predicted properties obtained were analyzed and interpreted. Two amino acids with PDB IDs: 7p2m and 5hua were obtained from protein data bank and treated accordingly. The ligands were optimized and docked into the binding location of the receptors using Spartan ’14 software. The acquired outputs were stated and interpreted.
DOI: 10.17632/ktfndr7g9z
title: THE EFFECT OF IMPELLER BLADE GEOMETRY/INCLINATION ON MIXING/EMULSION

description: This study was conducted to investigate the effects of impeller blade geometry/inclination on mixing/emulsion. This study was conducted using a Gunt CE 320 Liquid mixing unit. The power consumption and mixing time were the two main focus in this research study using a relationship of Power Number to Reynolds Number and the Fox and Gex Equation respectively. Four different types of impellers were used: Impeller Type 1 (100mm, 3 Blade), Impeller Type 2 (100mm, 2 Blade), Impeller Type 3 (100mm, 10 Hole) and Impeller Type 4 (70mm, 3 Blade) The torque readings were taken at different impeller speeds for the power consumption part for all impeller types at four different positions experimented with (Centre, 5cm offset from the centre, at an inclined angle of 20 degrees and at the top). The conductivity method was used in obtaining the mixing time using a solution of potassium chloride (KCl) and water as the tracer in an open vessel system. This methodology was used for two mixtures, Mixture Type 1 (Tap Water Only) and Mixture Type 2 (Oil and Water).
DOI: 10.17632/zv2x8gpvd6
title: Data for: Racism Blame and Autonomy in HCI: Testing Perceptions of an AI Agent
DOI: 10.17632/kxzznmtsyc
title: Data for: The petrology, geochronology and tectono-magmatic setting of igneous rocks in the Suckling-Dayman metamorphic core complex, Papua New Guinea

description: Zircon and feldspar U-Pb LA-ICP-MS depth-profile and in-situ analyses from metaigneous and metasedimentary rocks of the Suckling-Dayman metamorphic core complex in Papua New Guinea
DOI: 10.17632/btmfvy8zt2
title: Data for: Organ-based tube current modulation in Chest CT. A comparison of three vendors

description: Dataset from radiation dose measurements by Thermo-Luminiscent dosimeters and from visual grading analysis (image quality assessment)
DOI: 10.17632/mjb586jfpx
title: Scopus dataset

description: dddddd
DOI: 10.17632/f5ttw4mygy
title: Skin Proteomic Analysis of Immune Activation Associated with Regression of Melanoma Metastases Induced by Diphencyprone

description: Supplementary Data for Skin Proteomic Analysis of Immune Activation Associated with Regression of Melanoma Metastases Induced by Diphencyprone
DOI: 10.17632/w7fjkfx245
title: Remediating the adverse effects of treated wastewater irrigation by repeated on-surface surfactant application 

description: This dataset contains data collected from field studies of water movement through the soil using electrical resistivity tomography (ERT), laboratory analysis of the soil chemical properties, and the measurement of the soil hydraulic properties. The field is irrigated with wastewater which has led to the development of soil water repellency. This study investigated if spraying the soil with 0,5 or 10 g/L of a non-ionic surfactant will remediate the soil water repellency.

***Objective of the study***

(1) Whether the application of a nonionic surfactant to TWW irrigated soil can eradicate soil water repellency (SWR), with regard to preferential flow pathways, (2)  if ameliorating SWR can homogenize soil moisture and chemical distribution, and (3) whether it offers any agronomic (yield) benefit to the trees.

***Instruments***
All ERT measurements were carried out using  SYSCAL Junior (Iris Instruments, France) multi-electrode resistivity meter. Soil analysis was done in a commercial lab according to standard procedures. The soil hydraulic property was determined using  HYPROP2 (UMS, Munich, Germany) system.

***Description of the data in this data set***

The data included in this data set has been organized into separate excel  sheets according to the figure list below:

Fig. 1. Percentages of mean soil water content (a), saturation degree (b), and soluble organic matter (c) as a function of sampling depths

Fig. 3. Spatial distribution of ER in TWW irrigated plots, treated with 0, 5 and 10 g/L surfactant #20.

Fig. 4. Temporal changes in ER measured before, during, and after irrigation, in the TWW irrigated plot, treated with 0 g/L surfactant #20 (2018). 

Fig. 5. Temporal changes in ER measured before, during, and after irrigation, in the TWW irrigated plot treated with 10 g/L surfactant #20 (2018).

Fig. 6. Temporal changes in ER measured before, during, and after irrigation. in the TWW irrigated plot treated with 0 g/L surfactant #20 (2019). 

Fig. 7. Temporal changes in ER measured before, during, and after irrigation, in the TWW irrigated plot treated with 10 g/L surfactant #20 (2019). 

Fig. 8. Average EC, Na, Cl, N-NO3, P-Olsen, K, Ca+Mg, SAR, and PAR levels, from the top (0 – 20 cm) and bottom (20 – 40 cm) sampling depths.

Fig. 9. Mean values for Saturation degree, EC, Na, Cl, Total N, P-Olsen, K, (solid lines) along the transect, at 25 cm intervals, for 0 - 40 cm depth.

Fig. 10. Average grapefruit yields (in kg) for the untreated, and for two surfactant-treated plots, and for the trees in the plots, for 2019 and 2020. 

Fig. S1 (same as Fig. 1)

Fig. S2 (same as Fig. 2)

Fig. S3. Temporal changes in ER measured before, during, and after irrigation in the TWW irrigated plot treated with 5 g/L surfactant #20 (2019). 

Fig. S4. Soil water retention curves for 0, 5, and 10 g/L surfactant #20 treated plots. Panels a-c represent 0 – 20 cm depth, while panels d-f represent 20 – 40 cm depth.
DOI: 10.17632/mvthtnb579
title: LINF_070016000

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zhpc8v9sbn
title: Dataset for Adaptive sampling-based surrogate modeling for composite performance prediction

description: This dataset contains the raw data for the paper titled "Adaptive sampling-based surrogate modeling for composite performance prediction" and the trained Gausssian process regression (GPR) model from adaptive sampling.
 Folder Summary:
The root folder contains a subfolder 'saved_model' and relevant files for training.
-The `saved_model` subfolder contains: Multiple versions of serialized models (`.joblib` and `.pkl`), reflecting variations in model configurations or training epochs.
 -'model_20_5_20.pkl' file contains the settings of a saved model with 20 seed data, 5 queries and 20 sampling size in Pickel format
 -'model_20_5_20.joblib' file contains the settings of a saved model with 20 seed data, 5 queries and 20 sampling size in Joblib format
- Training notebook (`AL_gp_training.ipynb`) to manage and execute training workflows.
- Dataset (`Data_all.csv`) in CSV format for training and testing purposes.
-Readme ('Readme.md') to run the code
DOI: 10.17632/r58wvpdhb3
title: MDOL paper dataset

description: Data related to the paper entitled "Even allocation of benefits stabilizes microbial community engaged in metabolic division of labor", including
1. Raw data of culture experiments of the synthetic consortia performing two-step MDOL;  
1. Raw data of culture experiments of the synthetic consortia performing four-step MDOL;  
3. Primers used in this study.
DOI: 10.17632/fn7bpwgg2m
title: Microstructure of remolded loess

description: The pore perimeter and other data of remolded loess with different dry densities are included in the set
DOI: 10.17632/gg7nnkjw55
title: Data for: Efficient and controllable growth of vertically oriented graphene nanosheets by mesoplasma chemical vapor deposition

description: Growth rate and Raman analysis
DOI: 10.17632/pg64b8wysh
title: HIFNI_COVID

description: Comparison of HFNC, Helmet and Face-mask NIV in Acute hypoxemic respiratory failure due to Covid-19
DOI: 10.17632/snr5gr9khn
title: Dataset Analysis of Factors Affecting Lending Patterns in Scheduled Commercial Banks under the CGTSME Scheme: An Empirical Study Integrating the Theory of Planned Behaviour.

description: This study presented a dataset analysis focused on understanding the factors that had influenced lending patterns in scheduled commercial banks under the Credit Guarantee Fund Trust for Micro and Small Enterprises (CGTSME) Scheme.