cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d3w8s3zcnd.1
title: Characterization of phenotypic traits associated with anthracnose resistance in selected common bean (Phaseolus vulgaris L.) breeding material

description: Anthracnose caused by Colletotrichum lindemuthianum is the major common bean disease worldwide causing complete yield loss under favourable disease conditions. This study aimed to determine phenotypic traits associated with anthracnose resistance for future use in breeding programmes. Twenty-two common bean varieties (CBVs) were selected basing on susceptibility to anthracnose, advanced breeding lines, improved variety resembling advanced breeding lines and the farmer variety widely grown in Tanzania. Selected varieties were planted in anthracnose hotspot fields and the same CBVs were planted in a screen house to validate resistance to anthracnose. Anthracnose infection score, leaf length, leaf width, length of fifth internode, length of petiole, plant vigour, canopy height and canopy width were recorded. Data on number of plants emerging; days to flowering; days to maturity; plant stands at harvest; and grain yield were also collected and analysed using R software. Phenotypic traits evaluated differed significantly among genotypes, environment and genotype by environment interaction. Seventy-five percent of phenotypic traits evaluated were positively correlated to anthracnose resistance. 
Highly-strong correlations to anthracnose were observed on number of days to maturity, plant stands at harvest, plant vigour and grain yield. Leaf length, leaf width, length of fifth internode, length of petiole and number of stands emerging were strongly correlated to anthracnose resistance. Additive main effects and multiplicative interaction analysis (AMMI) revealed highest contribution of environment on anthracnose infection-58.9% and grain yield -84.9% compared to genotype effects on anthracnose infection -32.7% and grain yield-15.7%. Based on these results, four traits – plant vigour, number of days to maturity, number of plant stands at harvest and grain yield – are recommended for selecting anthracnose-resistant varieties. NUA 48, NUA 64 and RWR 2154 were superior varieties, resistant to anthracnose and high yielding, while Sweet Violet and VTT 923-23-10 were most stable varieties across environments. Further on-farm research is suggested to assess their performance and identify traits preferred by farmers.
DOI: 10.17632/t8tbk9gdt2.1
title: Photoionization cross sections and photoelectron angular distributions of molecules with XCHEM-2.0

description: The XCHEM code was introduced in 2017 [1] to provide an accurate description of electron correlation and exchange in the electronic continuum of molecules at the same level as complete or restricted active-space self-consistent field (CASSCF or RASSCF) methods. This has allowed for an accurate description of molecular photoionization in the region of Feshbach resonances, shake up processes in which ionization is accompanied by excitation of one or several of the remaining electrons, and interchannel couplings. The success of XCHEM for small molecules has led us to improve its performance in several aspects, which now allows for the description of resonant molecular photoionization in larger systems. In addition, we have incorporated the possibility to calculate photoelectron angular distributions in the laboratory and molecular frames, which are essential to interpret angularly resolved photoionization experiments. Here we show its performance in the N2 and pyrazine molecules. The new version of the code, XCHEM-2.0, is freely available at https://gitlab.com/xchem/xchem_public.
DOI: 10.17632/srbrfx8k74.1
title: RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics

description: The rise of neural network-based machine learning ushered in high-level libraries, including TensorFlow and PyTorch, to support their functionality. Computational fluid dynamics (CFD) researchers have benefited from this trend and produced powerful neural networks that promise shorter simulation times. For example, multilayer perceptrons (MLPs) and Long Short Term Memory (LSTM) recurrent-based (RNN) architectures can represent sub-grid physical effects, like turbulence. Implementing neural networks in CFD solvers is challenging because the programming languages used for machine learning and CFD are mostly non-overlapping, We present the roseNNa library, which bridges the gap between neural network inference and CFD. RoseNNa is a non-invasive, lightweight (1000 lines), and performant tool for neural network inference, with focus on the smaller networks used to augment PDE solvers, like those of CFD, which are typically written in C/C++ or Fortran. RoseNNa accomplishes this by automatically converting trained models from typical neural network training packages into a high-performance Fortran library with C and Fortran APIs. This reduces the effort needed to access trained neural networks and maintains performance in the PDE solvers that CFD researchers build and rely upon. Results show that RoseNNa reliably outperforms PyTorch (Python) and libtorch (C++) on MLPs and LSTM RNNs with less than 100 hidden layers and 100 neurons per layer, even after removing the overhead cost of API calls. Speedups range from a factor of about 10 and 2 faster than these established libraries for the smaller and larger ends of the neural network size ranges tested.
DOI: 10.17632/v4kfhzw7sf.1
title: Analytical solution of the fractional neutron point kinetic equations using the Mittag-Leffler function

description: A new analytical solution of the fractional point kinetic equations is developed in the present work, which considers one group of delayed neutrons as well as a constant reactivity. One of the main novelties and theoretical contributions of the developed solution is that it does not require approximating the Inverse Laplace transform by numerical means, as other solutions do, and instead it is obtained analytically using the Green and the Mittag-Leffler functions. A set of algorithms and MATLAB codes are developed with the purpose to implement and compute the developed solution in an adequate way, which represents the major computational contribution. Numerical experiments show that the developed solution is very accurate solving short-time dynamics phenomena, being able to reproduce, in a precise way, data that is reported in literature. The development of the proposed analytic solution represents an important contribution to validate numerical methods that are currently used to solve the neutron fractional point kinetic equations.
DOI: 10.17632/ydwvgx9yfw.1
title: The N6-methyladenosine demethylase ALKBH5 regulates the hypoxic HBV transcriptome.

description: Chronic hepatitis B is a global health problem and current treatments only suppress hepatitis B virus (HBV) infection, highlighting the need for new curative treatments. Oxygen levels influence HBV replication and we previously reported that hypoxia inducible factors (HIFs) activate the basal core promoter to transcribe pre-genomic RNA. Application of a probe-enriched long-read sequencing method to map the HBV transcriptome showed an increased abundance of all viral RNAs under low oxygen or hypoxic conditions. Importantly, the hypoxic-associated increase in HBV transcripts was dependent on N6-methyladenosine (m6A) modifications and an m6A DRACH motif in the 5’ stem loop of pre-genomic RNA defined transcript half-life under hypoxic conditions. Given the essential role of m6A modifications in the viral transcriptome we assessed the oxygen-dependent expression of RNA demethylases and bio-informatic analysis of published single cell RNA-seq of murine liver showed an increased expression of the RNA demethylase ALKBH5 in the peri-central low oxygen region. In vitro studies with a human hepatocyte derived HepG2 cell line showed increased ALKBH5 gene expression under hypoxic conditions. Silencing the demethylase reduced the levels of HBV pre-genomic RNA and host gene (CA9, NDRG1, VEGFA, BNIP3, FUT11, GAP and P4HA1) transcripts and this was mediated via reduced HIFα expression. In summary, our study highlights a previously unrecognized role for ALKBH5 in orchestrating viral and cellular transcriptional responses to low oxygen.
DOI: 10.17632/3hnht4j94k.1
title: TransROTA: A code for solving collisionality-extended Braginskii's closure formalism for toroidally-rotating plasmas with nonlinear successive overrelaxation

description: TransROTA (Transport analysis based on ROTAtions) is a code that solves the axisymmetric version of Stacey-Sigmar extended plasma rotation model based on a collisionality-extended Braginskii's closure formalism with realistic d-shaped flux surface geometry in toroidally-confined plasmas [Nucl. Fusion 53 (2013) 043,011]. The Stacey-Sigmar model is unique in rotation and transport calculations by retaining all the terms in the angular momentum balance and by considering the first-order poloidal asymmetries in density, velocity, and electrostatic potential, for a higher accuracy in rotation calculations. TransROTA code evolves out of an earlier two-ion code GTROTA [Comp. Phys. Comm. 184 (2013) 2571–2587] and is developed for more practical studies on rotation and transport of up to five ion species (including deuterium and carbon). The main practical application is focused on intrinsic rotation studies. TransROTA requires a well-calibrated radial velocity profile of carbon impurity as one of the 21 required inputs. Once provided, TransROTA stably converges its nonlinear iterations with locally-optimized Successive Overrelaxation (SOR) scheme only, which is a remarkable improvement from GTROTA. This stable convergence is achieved by both modified application of the model equations and improvement in the numerical method. The new numerical scheme successfully removes the numerical instability issues commonly observed in GTROTA to make TransROTA not only to robustly converge the solutions but also to be faster and user-friendly.
DOI: 10.17632/ym23p7mnf5.1
title: Educational television in school and preadolescents’ gender attitudes and beliefs

description: This mixed-design experimental study (N = 271, Mage = 10.34, SD = .77) contributes to the literature by examining the effects of watching and discussing an educational television program on gender in class on preadolescents’ gender attitudes and beliefs. Findings demonstrated that exposure to the program impacts preadolescents’ gender essentialism and their acceptance of and willingness to affiliate with gender nonconforming peers. Discussing the educational television content in class did not generate stronger findings. We further investigated the moderating role of gender typicality, gender role contentedness, and felt pressure from parents and peers.
DOI: 10.17632/ym23p7mnf5.2
title: Educational television in school and preadolescents’ gender attitudes and beliefs

description: This mixed-design experimental study (N = 271, Mage = 10.34, SD = .77) contributes to the literature by examining the effects of watching and discussing an educational television program on gender in class on preadolescents’ gender attitudes and beliefs. Findings demonstrated that exposure to the program impacts preadolescents’ gender essentialism and their acceptance of and willingness to affiliate with gender nonconforming peers. Discussing the educational television content in class did not generate stronger findings. We further investigated the moderating role of gender typicality, gender role contentedness, and felt pressure from parents and peers.
DOI: 10.17632/2pkxckwgs3.2
title: Arabic Punctuation Dataset

description: This is a curated dataset, specifically designed to facilitate the study of punctuation. It has undergone rigorous manual annotation and verification on the basis of sentence structure, with sentence boundaries clearly marked. The dataset is in three folders:

1. The ABC component of the Arabic Punctuation Dataset: This folder features the manually annotated punctuation gold standard. It consists of one chapter extracted from each of 45 non-fiction books by 36 authors from 19 different fields of study. It contains 45 text files with a total of 149K tokens in 13K sentences. 

2. The CBT component: This folder has 1085 text files in 60 sub-folders, the full text of complete book translations that had been rendered from English into Arabic independently of this project. Their punctuation, we found out, mirrors the English source language texts; i.e., the sentence terminals in these Arabic texts follow the rules of English. In this folder are close to 3M words in more than 170K properly punctuated sentences.

3. The SSAC-UNPC component: This folder constitutes the third part of the Arabic Punctuation Dataset. It has close to 12M disconnected, disordered, complete sentences in 79 text files. These scrambled sentences were extracted from the predominantly legal Arabic subcorpus of the United Nations Parallel Corpus (UNPC). The punctuation here is authentic. It was done by the UN translators as part of their work. We consider this to be an excellent punctuation corpus because it mirrors the rule-governed punctuation of the English source documents, especially in relation to sentence terminals. These scrambled sentences total more than 309M words.
DOI: 10.17632/5rzx547mgp.1
title: Nanoscale mechanisms of carboxyl carbon preservation during Fe(II)-induced ferrihydrite transformation

description: The research data used for the manuscript.
DOI: 10.17632/gzcgbm82mh.1
title: A study of Perceived Stress and Parental Stress among single mothers in the Ahafo-Ano North and Shai-Osudoku Districts of Ghana.

description: Single parenthood is attended by a host of negative impacts on and stressful experiences on the part of custodial parents and the child(ren). Single parents find themselves under tremendous pressure as they deal with psychological, financial, and social challenges that partnered parents do not generally deal with (Whisenhunt et al., 2019). The elevated levels of stress and exhaustion among single parents, especially mothers, makes them more prone to physical and psychological distress and disorders than partnered mothers (Cairney et al., 2006; Lipman et al., 2001; Nkyi, 2013; Prayitno & Nastiti, 2023; Elena Rousou et al., 2019; Wade et al., 2011; Whisenhunt et al., 2019). Single mothers, more than their married counterparts, often find themselves grappling with poverty, behavioural challenges among children, and isolation resulting from reduced contact with their social network (Brady & Burroway, 2012; G. E. Kim et al., 2018; J. E. Kim et al., 2018; Kollmeyer, 2013; Kong et al., 2017; Subramaniam et al., 2014). These conditions may antecede fatigue, suicidal thoughts, suicide attempts, sleep apnea, depression, physical ailment, stress and burnout (Campbell et al., 2016; Collings et al., 2014; Shenoy et al., 2016). In general, the research evidence shows that single parents suffer circumstances that elevate their susceptibility to stress and conditions that antecede undesirable health problems, both mental and physical (Rousou et al., 2013). The ramifications of single motherhood on the development of children and on the welfare of society as a whole are potentially acute. However, single motherhood is largely understudied in Africa south of the Sahara despite that more families in this region are becoming single-mother situations. Furthermore, extant studies from sub-Saharan Africa have not given sufficient attention to stress and burnout among single mothers. In this proposed study, the researchers sought to measure stress among single mothers in two districts of Ghana, and to identify the factors that are closely associated with stress and burnout in that population, and to ascertain the coping strategies these mothers employ. Findings of this study may be beneficial for policy formulation and healthcare provision for single mothers.
DOI: 10.17632/bhmz4r6pbw.1
title: Citizens living close to the North of Tarragona petrochemical site

description: This database is made up of the answers given by citizens to a questionnaire with items that make up the representative constructs of the concepts considered. The questionnaire was addressed to a sample formed by the inhabitants of the closest towns (La Pobla de Mafumet, El Morell and Perafort-Puigdelfí) to the petrochemical complex in the north of Tarragona. 
Initially 390 valid responses were obtained through simple random sampling. The survey asked respondents to what extent they were familiar with existing environmental organisations in the area. If they were not familiar with such organisations, questions referring to them were discarded.
DOI: 10.17632/fs7sg7rx6n.1
title: LightGBM-EN Algorithm for Inverting Land Surface Temper-ature with Multiple Feature Combinations

description: The program and inversion result chart for surface temperature inversion using LightGBM-EN. This includes programs for SW and MW algorithms.
DOI: 10.17632/962fzmm7f7.1
title: High-order finite element method for atomic structure calculations

description: We introduce featom, an open source code that implements a high-order finite element solver for the radial Schrödinger, Dirac, and Kohn-Sham equations. The formulation accommodates various mesh types, such as uniform or exponential, and the convergence can be systematically controlled by increasing the number and/or polynomial order of the finite element basis functions. The Dirac equation is solved using a squared Hamiltonian approach to eliminate spurious states. To address the slow convergence of the κ = ±1 states due to divergent derivatives at the origin, we incorporate known asymptotic forms into the solutions. We achieve a high level of accuracy (10^-8 Hartree) for total energies and eigenvalues of heavy atoms such as uranium in both Schrödinger and Dirac Kohn-Sham solutions. We provide detailed convergence studies and computational parameters required to attain commonly required accuracies. Finally, we compare our results with known analytic results as well as the results of other methods. In particular, we calculate benchmark results for atomic numbers (Z) from 1 to 92, verifying current benchmarks. We demonstrate significant speedup compared to the state-of-the-art shooting solver dftatom. An efficient, modular Fortran 2008 implementation, is provided under an open source, permissive license, including examples and tests, wherein particular emphasis is placed on the independence (no global variables), reusability, and generality of the individual routines.
DOI: 10.17632/7d328dw325.1
title: English Language Learning using NLP induced mobile app's Instructors views and opinion

description: The survey was conducted over a period of four weeks with 50 high schools in Dhaka and Bogura districts of Bangladesh. It encompasses only English subject areas Teachers who teach in high schools from grade six to grade ten and teach regularly in the school. A questionnaire was distributed to teachers, allowing us to gather answers. During the survey, standard participants were chosen emphasizing infrastructure quality, teaching experience, class size, etc. At the beginning, 100 institutions were selected. Then half of them were excluded since the infrastructure's overall quality and condition were not above average. We have done extensive analysis with the survey data collected. In our data collection, the highest priority is given to the secondary class student teachers who teach between 6 and 10th grade, about 46%. High school, KG college, and KG high school. Details about the statistics are depicted in the following figures. Adjacent chart explains the percentage of teachers who teach in which class. Hence, from these two figures, we can get a vivid image of the collected dataset resources about the participating teachers.

A mobile application (Englisher) is being developed with content from the NCTB’s English Textbook for class 9. The extracted keywords are organized into lessons, and furthermore, a quiz is introduced as an exercise. Each sentence's and word's Bengali meanings are provided in accordance with the lesson. Students can take quizzes, and their results are recorded in history so that history can be reviewed and performance can be improved with more practice in the future. In the survey questions, it was indicated whether the students, teachers, and government organizations would find it acceptable and appreciated if textbook information were made available through a mobile app and presented in interactive format. To demonstrate the mobile app idea during the interrogation survey session, a prototype app, Englisher, is prepared. Participants were asked for suggestions on how to make the app better and to specify shortcomings. It provides an insight into teacher’s emotions about the inclusion of mobile technology in the higher secondary English education system.
DOI: 10.17632/4f2dvnyw59.1
title: Database of planetary gear trains suitable for the design of automatic transmission mechanisms

description: The complete databases of tree graphs and planetary gear trains suitable for the design of automatic transmission mechanisms are provided. Upper triangular elements of the adjacency matrix of each graph are stored in the database. If the value of an element exceeds 10, the number 10 is represented the letter A, and the number 11 is represented the letter B.
DOI: 10.17632/5yy475dbry.1
title: Thickness of the seasonal deposits by examining the shadow variations of the fallen ice blocks at Martian North Pole

description: HiRISE_1m_DEM is the generated 1/pixel DEM at the Martian scarp centered at (85.0°N, 151.5°E);
Snofall_thickness_in_MY31.py can be used to reproduce Figure 9 in Xiao et al. (2024);
Interannual_snowfall_variations_in_early_spring.py can be used to reproduce Figure 11 in Xiao et al. (2024);
Crown_depth_estimation.py can be used to reproduce Figure 13 in Xiao et al. (2024);
Total_thickness_of_snowfall_and_frost.py can be used to reproduce Figure 14 in Xiao et al. (2024).

Xiao, H., Xiao, Y., Su, S., Schmidt, F., Lara, L. M., & Gutiérrez, P. J. (2024). Thickness of the seasonal deposits by examining the shadow variations of the fallen ice blocks at Martian North Pole. Journal of Geophysical Research: Planets. In Revision.
DOI: 10.17632/kfggt5tv4d.1
title: HYDROL55267

description: Data and codes for HYDROL55267
DOI: 10.17632/x8vvch2sw9.1
title: Room-level data of Simulated Energy consumption and Ventilation dynamics (RSimEV)

description: This dataset offers simulated data that includes various parameters impacting energy consumption and ventilation across diverse building scenarios. The simulations encompass various room types within buildings of varying shapes and sizes.

Comprising a total of 312 CSV files, each file corresponds to simulations conducted in different rooms within buildings with random parameters. Each building undergoes 200 simulations for a one-month period, with the month randomly chosen to account for different weather conditions. Locations are randomly selected from three regions in the north hemisphere: 1) Dusseldorf, North Rhine-Westphalia, Germany; 2) Tehran, Tehran, Iran; and 3) Brockville, Ontario, Canada, representing three climate zones (mixed, warm, and cold). The simulations yield hourly results, resulting in file sizes ranging from 144,000 (representing 200 simulations over 24 hours for 30 days) to 148,800 data rows (for simulations spanning 31 days). Each CSV file is structured with 55 columns, capturing a comprehensive set of attributes relevant to energy consumption and ventilation dynamics. The collective dataset includes 45,562,639 rows, presenting a robust foundation for in-depth analysis and exploration of the intricacies of building performance across many conditions and configurations.

It's essential to note that users are accountable for any risks associated with the dataset's utilization, and the creators explicitly disclaim responsibility for specific applications or outcomes. Detailed information on dataset columns and their units is available in the accompanying "readme.txt" file.