cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/63z5ptzwh3
title: Fault reactivation and earthquakes with magnitudes of up to Mw4.7 induced by shale-gas hydraulic fracturing in Sichuan Basin, China

description: The data set contains five files, "ETAS.eqt" for catalogue of earthquakes with a magnitude ≥ 1.25, "hypoDD.reloc" for relocated hypocenters, "Lei_SR_2017.cmt" for centroid moment tensors, and three files of velocity models used in Lei et al. (2017), Fault reactivation and earthquakes with magnitudes of up to Mw4.7 induced by shale-gas hydraulic fracturing in Sichuan Basin, China, Scientific Reports, 7(1), 7971: 7971-7912, doi:10.1038/s41598-017-08557-y.
DOI: 10.17632/jdr7v3cfkj
title: BIOTC: An open-source CFD code for simulating biomass fast pyrolysis

description: Abstract The BIOTC code is a computer program that combines a multi-fluid model for multiphase hydrodynamics and global chemical kinetics for chemical reactions to simulate fast pyrolysis of biomass at reactor scale. The object-oriented characteristic of BIOTC makes it easy for researchers to insert their own sub-models, while the user-friendly interface provides users a friendly environment as in commercial software. A laboratory-scale bubbling fluidized bed reactor for biomass fast pyrolysis was sim... Title of program: BIOTC-2.1.x Catalogue Id: AESJ_v1_0 Nature of problem Computational fluid dynamics (CFD) simulation of biomass fast pyrolysis at reactor scale can help reveal the details of the process and develop an understanding of the underlying mechanisms for reactor operation and optimization. However, the existing CFD codes, commercial or open-source, still pose difficulties for users to carry out an efficient simulation. Therefore, an open-source CFD code that integrates the merits of mainstream commercial and open-source codes, i.e., user-friendly interfac ... Versions of this program held in the CPC repository in Mendeley Data AESJ_v1_0; BIOTC-2.1.x; 10.1016/j.cpc.2014.02.012 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.5281/zenodo.14909600
title: AI Cube data and models

description: Data and models used in the manuscript "Towards an AI Cube: Enriching Geospatial Data Cube with AI Inference Capabilities".
DOI: 10.5281/zenodo.14909601
title: AI Cube data and models

description: Data and models used in the manuscript "Towards an AI Cube: Enriching Geospatial Data Cube with AI Inference Capabilities".
DOI: 10.17632/xd7777kvdn
title: DATASET ON CAGE FISH FARMING_UG

description: Raw dataset on Knownledge, Attitudes and Perceptions (KAP), collected from the survey on Smallholder cage farmers around Lake Victoria in Uganda.
DOI: 10.17632/5mtjg3drj5
title: Student Dataset v1

description: The Student Data Set contains 9000 records of students and forteen attributes.
The dataset is freely available for research purposes and for building and training AI and ML models. 
This dataset will only be used for the purpose of academic research.
DOI: 10.17632/6px2ns6spc
title: Supplemental Table 1. Effects of heat stress and dietary organic acid and plant botanical supplementation on clinical assessments of lactating multiparous Holstein cows.

description: Forty-six pregnant multiparous and lactating Holstein cows were randomly assigned to one of four treatments at enrollment: unsupplemented thermoneutral conditions (TN-Con, n = 12), heat-stress with no organic acids and pure botanicals (OA/PB) supplementation (HS-Con, n = 12), thermoneutral conditions pair-fed to HS-Con (TN-PF, n = 12), HS supplemented with OA/PB (75 mg/kg of body weight [BW]; AviPlus R; VetAgro S.p.A., Italy; HS-OAPB, n = 10). Control cows (not supplemented with OA/PB) received a matching dose of the lipid matrix.
DOI: 10.17632/958ygp2sb4
title: TROPIC: A program for calculating reduced transition probabilities

description: Measurements of level lifetimes and the extracted transition probabilities are one of the cornerstones of nuclear structure physics. The reduced transition probabilities, B(πλ; J_i → J_f) yield information about the structure, wavefunctions, and matrix elements of excited states connected by electromagnetic transitions in a given nucleus. The arsenal of techniques for measuring lifetimes continues to expand and presently includes a wide range of values from femtoseconds to microseconds. While lifetime measurement techniques vary, the extraction of transition probabilities remains the same. RULER is the program used by the National Nuclear Data Center (NNDC) and ENDSF evaluations, while TRANSNUCLEAR was developed at the University of Cologne and modified by a variety of groups. This paper presents a new program TROPIC (TRansitiOn ProbabIlity Calculator), which is the most modern and efficient way to extract transition probabilities B(πλ). TROPIC is a program written in Python 3 with the NumPy and SciPy libraries. This is in line with the advances that ENSDF and NNDC are making in moving away from the 80-character card punch input formats. Several design features were implemented to provide a streamlined process for the user and mitigate drawbacks that were present in other programs. The results from TROPIC have been compared with TRANSNUCLEAR and RULER. The answers are as expected identical, but the investment of input to output time is significantly reduced. TROPIC will be made available for public domain use, along with a user guide and example files.
DOI: 10.17632/bwxpc4wws4
title: Molecular mechanism of action of imidazolium carbosilane dendrimers on the outer bacterial membrane – from membrane damage to permeability to antimicrobial endolysin

description: The interaction of cationic imidazolium CBS dendrimers with three different bacterial membrane models (E. coli, P. aeruginosa, and A. baumannii) was determined. The results suggest that the mechanism of action strictly depends on the types of dendrimers, the charge distribution of groups capable of establishing interactions with membranes, and the lipid composition (Fig. 9). Dendrimer D1 with methylimidazolium groups, to which cationic moieties are more exposed, tends to aggregate, leading to a destructive interaction with the model membrane. The lipid bilayer is disrupted due to the increased concentration of D1 dendrimers on the membrane. Dendrimer D2, with pyridineimidazolium groups, does not destroy liposomes. Its mechanism of action is based on an affinity to the membrane and its penetration, which leads to changes in membrane fluidity and permeability. D2 dendrimer permeabilizes the membrane without completely destroying it, allowing the antimicrobial protein (endolysin) to be transported through the lipid membrane and reach the peptidoglycan. Thermodynamic analysis shows an increase in the affinity of D2 dendrimers to liposomes when the concentration of negatively charged lipids in the membrane increases (the reaction changes from endothermic to exothermic). This suggests that a high concentration of CL and DOPG in the membrane guarantees a higher affinity of antimicrobial dendrimers. The higher the composition of CL or DOPG, the greater disruption and changes in membrane permeability and fluidity are observed. This phenomenon allows us to use pyridineimidazolium D2 dendrimers not only as bacterial membrane disruptors but also as permeabilization agents for other antimicrobials, such as endolysin, to improve the antimicrobial effect without forming pores in the membrane. In this case, inactive concentrations of dendrimers, D2, together with endolysin, enhance the antimicrobial effect of this protein. The obtained results are very important for understanding the mechanism of action of antimicrobial agents against different strains of bacteria. They also clearly show that the mechanisms of action of positively charged systems are not the same for all Gram-negative bacteria. Knowledge of the relationship between the influence of lipid composition and the mechanism of action of dendrimers will allow the development of better antibacterial agents.
DOI: 10.17632/cvpgxnbk3v
title: Integrated Pest Management (IPM) of pigeon pea pests for improved yields in Kenya

description: The trial was to test whether pest management in pigeon pea production had effects on yields (quantity & quality). Results showed a highly significant difference (p&lt;.001) in the pigeon pea grain yields with (1.66±0.041; 0.91±0.042) tons per Ha for UM and LM agro ecological zones, respectively. An increase of 43.29% and 52.35% in the number of pods was recorded in IPM and FP managed plots, respectively. Further, pod weight (g) for IPM plot increased by 39.24% against a 48.22% in the FP managed plots. Records of 40.81% & 55.37% increase in number of grains in IPM and FP managed plots were established, respectively. Additionally, the grain weight (g) increased by 34.77% in the IPM and by 51.60% in the FP managed plots. An increase in percent protein content was recorded with 16.85%, 16.67% and 14.64% from FP, IPM and control managed plots, respectively. Higher yields were noted in UM compared to LM Agro Ecological Zone. Pest management is a key input in pigeon pea production and farmers need to manage pests for increased quantities and quality.
DOI: 10.17632/rsr8xsz67t
title: NKU_MAN

description: NKU_MAN
DOI: 10.17632/yrfp8srj7j
title: DMSV_JIE

description: The data files contains code and data to replicate the analysis in Doerr, Marin, Suverato and Verdier: "International Trade and the Allocation of Capital Within Firms", Journal of International Economics
DOI: 10.17632/scpvm2nbkm
title: KU-BdSL: Khulna University Bengali Sign Language dataset

description: The KU-BdSL refers to a Bengali sign language dataset, which includes three variants of the data. The variants are - (i) Uni-scale Sign Language Dataset (USLD), (ii) Multi-scale Sign Language Dataset (MSLD), and (iii) Annotated Multi-scale Sign Language Dataset (AMSLD). The dataset consists of images representing single-hand gestures for BdSL alphabets. Several smartphones are taken into account to capture images from 39 participants (30 males and 9 females). These 39 participants associated with the dataset creation have not offered any financial benefit. Each version includes 30 classes that resemble the 38 consonants ('shoroborno') of Bengali alphabets. There is a total of 1,500 images in jpg format in each variant. The images are captured on flat surfaces at different times of the day to vary the brightness and contrast. Class names are Unicode values corresponding to the Bengali alphabets for USLD and MSLD.

Folder Names:
2433 -> ‘Chandra Bindu’
2434 -> ‘Anusshar’
2435 -> ‘Bisharga’
2453 -> ‘Ka’
2454 -> ‘Kha’
2455 -> ‘Ga’
2456 -> ‘Gha’
2457 -> ‘Uo’
2458 -> ‘Ca’
2459 -> ‘Cha’
2460-2479 -> ‘Borgio Ja/Anta Ja’
2461 -> ‘Jha’
2462 -> ‘Yo’
2463 -> ‘Ta’
2464 -> ‘Tha’
2465 -> ‘Da’
2466 -> ‘Dha’
2467-2472 -> ‘Murdha Na/Donto Na’
2468-2510 -> ‘ta/Khanda ta’
2469 -> ‘tha’
2470 -> ‘da’
2471 -> ‘dha’
2474 -> ‘pa’
2475 -> ‘fa’
2476-2477 -> ‘Ba/Bha’
2478 -> ‘Ma’
2480-2524-2525 -> ‘Ba-y Ra/Da-y Ra/Dha-y Ra’
2482 -> ‘La’
2486-2488-2487 -> ‘Talobbo sha/Danta sa/Murdha Sha’
2489 -> ‘Ha’

USLD:
USLD has a unique size for all the images that is 512*512 pixels. The intended hand position is placed in the middle of the majority of cases in this dataset. 
MSLD:
The raw images are stored in MSLD so that researchers can make changes to the dataset. The use of various smartphones yields us a wide variety of image sizes.
AMSLD:
AMSLD has multi-scale annotated data, which is suitable for tasks like localization and classification. From many annotation formats, the YOLO DarkNet annotation has been selected. Each image has an annotation text file containing five numbers separated by white space. The initial number is an integer, and the rest are floating numbers. The first number of the file indicates the class ID corresponding to the label of that image. Class IDs are mapped in a separate text file named 'obj.names'. The second and third values are the beginning normalized coordinates, while the fourth and fifth define the bounding box's normalized width and height.

This dataset is supported by Research and Innovation Center, Khulna University, Khulna-9208, Bangladesh and all the data from this dataset is free to download, modify, and use. The previous version (Version 1) of this dataset contains the oral permission of the volunteers, and the rest versions have written consent of the participants. Therefore, we encourage researchers to use these versions (Version 2 or Version 3 or Version 4) for research objective.
DOI: 10.17632/vh2k3nvsn9
title: Supplement to JAAD Letter: Risk of respiratory infection in patients with plaque psoriasis

description: Supplementary Appendices (i-iii) to the research letter Risk of respiratory infection in patients with plaque psoriasis published in Journal of the American Academy of Dermatology
DOI: 10.17632/nwj854ppyd
title: Combined ionizing radiation exposure by gamma-rays and carbon-12 nuclei increased neurotrophic factors content and prevent age-associated decrease in the sensorimotor cortex volume of rats

description: Here, we studied the effect of combined ionizing radiation exposure (0.4 Gy γ-rays and 0.14 Gy carbon-12 nuclei) on the locomotor and exploratory activity of Wistar rats, as well as assessed the sensorimotor cortex volume by magnetic resonance imaging-based morphometry at 1 week and 7 months post-irradiation. The sensorimotor cortex tissues were processed to determine whether the behavioral and morphologic effects were associated with changes in neurotrophins content.
DOI: 10.17632/z4jncwx9ks
title: A human pluripotent stem cell-based somitogenesis model using microfluidics

description: Supplementary Tables for the manuscript

Table S1. List of differentially expressed genes identified from scRNA-seq data of µSDM, related to Figures 3 and S3. Expression levels of the genes are used to generate the heatmap in Figure S3c.

Table S2. List of genes used for calculating correlations between cell clusters identified from µSDM and cy monkey embryo, related to Figures 3 and S3. 

Table S3. List of oligonucleotides used in this study, related to the STAR Methods.
DOI: 10.6084/m9.figshare.23993022.v1
title: Air Pollution MVPA Dataset India 2021

description: Data contains variables related to air pollution perceptions, built environment, sociodemographic variables, and physical activity levels of children and youth in India in 2021.
DOI: 10.17632/gjvrn32zbm
title: Air Quality Monitoring Data: PM10, PM2.5, O3, CO, Temp, Rel. Humidity - Jan 2022 to May 2023, Universidad Iberoamericana, Mexico City

description: This comprehensive dataset, provided in CSV format, captures detailed air quality monitoring data recorded hourly from January 2022 to May 2023 at Universidad Iberoamericana in Mexico City (Geo-location: 19.372292, -99.263679). It includes a wide range of environmental parameters such as particulate matter (PM10 and PM2.5), ozone (O3), carbon monoxide (CO), temperature, and relative humidity. The CSV file contains multiple columns representing each parameter, along with corresponding timestamps for each hour of recording. This extensive dataset offers valuable insights into air quality trends and variations over a significant period, making it a rich resource for environmental research and analysis.
DOI: 10.17632/mxwpkdx9jf
title: "Multi-organ Proteomic Landscape of COVID-19 Autopsies" A study of Nie et al

description: The molecular pathology of multi-organ injuries in COVID-19 patients remains unclear, preventing effective therapeutics development. Here, we report an in-depth multi-organ proteomic landscape of COVID-19 autopsy samples. By integrative analysis of seven-organ proteomes, namely lung, spleen, liver, heart, kidney, thyroid and testis, we quantified 11,394 proteins, in which 5336 were perturbed in theCOVID-19 patients compared to controls. Our data showed that CTSL, rather than ACE2, was significantly upregulated in the lung from the COVID-19 patients. Dysregulation of protein translation, glucose metabolism, fatty acid metabolism was detected in multiple organs. Our data suggested upon SARS-CoV-2 infection, hyperinflammation might be triggered, leading to hypoxia, angiogenesis, blood coagulation and fibrosis in the multiple organs. Evidence for testicular injuries includes reduced Leydig cells, suppressed cholesterol biosynthesis and sperm mobility. In summary, this study depicts the multi-organ proteomic landscape of COVID-19 autopsies, and uncovered dysregulated proteins and biological processes, offering potential therapeutic clues.
DOI: 10.17632/z7syhdk3kn
title: Carbon vs. cost option mapping: A tool for improving early-stage design decisions — supporting data

description: This data supports the paper "Carbon vs. cost option mapping: A tool for improving early-stage design decisions", by the same authors, submitted in 2021. 
It comprises:
- a list of anonymised span tables which are used as input data for the results presented in the paper
- the raw data (dataset of generated building designs) from which the figures in the paper were derived
DOI: 10.17632/nvy6hpy5nk
title: Older U.S. Adult Physical Activity

description: To understand the effects of barriers and facilitators of physical activity (PA) in older adults, U.S. participants (N = 667, age range 65-92) were surveyed using online research panels. The importance of fear of falling (FoF) was investigated among other previously identified determinants of PA behaviour. We hypothesised gender and health status to be linked to both threat appraisal (perceived vulnerability and severity) and coping appraisal (self-efficacy and response efficacy) constructs of Protection Motivation Theory. In turn, we expected those components to predict FoF, autonomous motivation, and the intention to be physically active. Further, we expected the latter to be a direct predictor of a change in PA behaviour, with the other constructs being indirect predictors of behaviour. Of the present sample, 19.3% indicated high FoF. Higher perceived vulnerability to falling was related to higher FoF and more perceived severity as well as worse physical health, PA-related self-efficacy, and lower PA-related response efficacy. Further, coping appraisal, intention, and PA behaviour significantly correlated with autonomous motivation to engage in PA. Using structural equation modelling, we found that self-efficacy and response efficacy have a stronger predictive role in older adults’ intention than FoF. The following measures were utilised: • Physical activity - Physical Activity Scale for the Elderly (PASE; Washburn et al., 1993). • Intention - ‘It is likely that I will be regularly physically active.’, ‘I intend to be regularly physically active.’, and ‘I expect to be regularly physically active.’ (Ajzen, 1991; Arnautovska et al., 2017). • Autonomous Motivation - Self-Regulation Questionnaire (Ryan & Connell, 1989). Results were scored in accordance with the Relative Autonomy Index (RAI). • Fear of Falling - Short Falls Efficacy Scale – International (FES-Ia) was used (Kempen et al., 2007). Full scores were utilised in addition to three distinct FoF groups based on cut-off points by Delbaere et al. (2010). • Perceived Severity - ‘Experiencing a fall would be a very bad thing to happen to me’, adapted from Plotnikoff and Higginbotham (2002). • Perceived Vulnerability - ‘My chances of falling are small’, adapted from Plotnikoff and Higginbotham (2002). • Self-Efficacy - Nine items with an 11-point Likert-type rating scale based on Resnick et al. (2000). • Response Efficacy - Four items adapted for falling from Plotnikoff and Higginbotham (2002). • Physical Health Status: Physical Component Summary scale (PCS) of the 12-item Short Form Health Survey (Ware et al., 1996).
DOI: 10.17632/skk2wn9j86
title: User Story NeoDataset

description: This dataset includes User Story (or Issue) text descriptions, User Story titles, and Story Points from 33 software development projects, comprising a total of 20,479 User Stories (or issues) extracted from GitLab repositories, amounting to 12,262.7 Story Points. The mining process focused on GitLab’s top open-source projects that use agile software development methodologies and record task sizes in Story Points. Only tasks with the **State** attribute set to **Closed** and with the **Weight** attribute filled in were collected. The **Weight** field in GitLab is used to record the effort in Story Points. The data was mined between January 2023 and April 2023. The projects in the dataset have diverse characteristics, covering different programming languages, business domains, and geographic locations of the teams.

The paper below describe shortly this dataset in **section 4.1 Dataset** 
Citation Suggestion
Neo, G. S.; Moura, J.; Almeida, H.; Neo, A. and Freitas Júnior, O. (2024). User Story Tutor (UST) to Support Agile Software Developers. In Proceedings of the 16th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-697-2; ISSN 2184-5026, SciTePress, pages 51-62. DOI: 10.5220/0012619200003693
DOI: 10.6084/m9.figshare.28293089.v3
title: Stigma and health-related quality of life (HRQoL) in multi-drug-resistant tuberculosis (MDR-TB) outpatient in Indonesia: A cross-sectional study

description: Data was gathered at Labuang Baji Hospital, Makassar, South Sulawesi, Indonesia. The instrument employed in this research is the Indonesian version of the TB stigma instrument to assess MDR-TB stigma from the patient and community perspectives. HRQoL was measured using the instrument EQ-5D-5L.
DOI: 10.17632/9j9425mxgx
title: Comprehensive milk peptide profiling in regards to animal species and processing conditions

description: The data files uploaded show HR-MS data and the resulting PEAKS data html files of milk samples from different animal origin and processing, upon which a peptide profiling was based. Comparison of the peptides identified in the different mammalian species led to the determination of species-specific marker peptides. Furthermore, data evaluation was conducted in regards to the heat treatment to which the samples were subjected (ESL, extended shelf life; P, pasteurization; UHT, ultra-high temperature).
DOI: 10.17632/2yxpv6s4d7
title: Adverse childhood experience and type 2 Diabetes

description: This case-control study involved 137 patients with T2DM and 134 non-diabetic adults residing in the Sirajdikhan Upazila (sub-district) of the Munshiganj District. In addition to collecting socio-demographic, behavioral, and anthropological data, a 10-item adverse childhood experience (ACE) scale was utilized to gather information regarding childhood adversities, while perceived stress was assessed using the Perceived Stress Scale-4. Fasting and 2-hour post glucose load blood sugar levels, HbA1c, and fasting lipid profiles were measured. A bivariate logistic regression analysis was conducted to identify any potential causal link between ACE and T2DM, with a p-value of 0.05 considered statistically significant.
DOI: 10.17632/zc4vdgph9b
title: Moringa Tree Leaves Dataset for Botanical and Agricultural Analysis

description: This dataset contains images of Moringa oleifera (commonly known as the Moringa tree) leaves, categorized into two classes: healthy and unhealthy. The images are suitable for research in agriculture, botany, and machine learning applications such as plant health monitoring, disease detection, and image classification.

The dataset is particularly useful for developing and testing AI models focused on precision agriculture and sustainable farming practices. It provides a valuable resource for researchers, students, and professionals working on plant health analysis or environmental studies. Each image is carefully labeled to ensure accuracy and usability in academic and applied research.