cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d6krnkfz9m.1
title: Disability inclusive disaster risk reduction with culturally and linguistically diverse (CALD) communities in the Hawkesbury-Nepean region

description: This project was a collaboration between Infrastructure NSW (INSW), SSI, and NSW State Emergency Services (NSW SES) to deliver Person-Centred Emergency Preparedness (PCEP) workshops to CALD communities in the Hawkesbury-Nepean Valley. After attending training on PCEP conducted by the second author and INSW in collaboration with Penrith and Hawkesbury Local Councils in 2018, SSI management adopted the PCEP toolkit (Villeneuve et al., 2018) as a key resource for developing awareness and preparedness in CALD communities. SSI collaborated with the third and fourth authors to develop capacity in SSI-AL staff in using PCEP with the goal of leveraging the community development and engagement role of SSI-AL staff to increase personal emergency preparedness of the CALD communities they serve. Three key products were co-produced from these capacity development sessions with SSI-AL staff for engaging with their communities: 1. A PowerPoint presentation overviewing the PCEP in simple terms for CALD communities; 2. A Flyer about PCEP that directed service users to the open access, online resources; 3. An interactive discussion-based activity about preparedness, capabilities and support needs. The intent of the project was to focus on CALD communities living in the Hawkesbury-Nepean valley floodplain, including people with disability. Co-production of the PCEP workshops for this population emerged from this collaboration. Data was drawn from both the service providers and workshop attendees. In order to understand the service provider’s experience of implementing the PCEP workshops, semi structure interviews were conducted with all five SSI-AL staff. Questions related to the process undertaken to engage communities for PCEP workshops, motivations of community groups for participating, if outcomes were achieved, challenges experienced, sustainability of ongoing workshops and training needs. These interviews were analysed thematically. Workshop participant interviews and evaluation questions were related to PCEP and included preparedness for emergency and natural disasters in their area, challenges they may experience in the event of a disaster in their community, and assets and resources they could rely on/require if there is an emergency. The demographic data and workshop evaluations were analysed from tabulation of the data, and responses to open questions were analysed thematically. Co-production has proven to be a useful approach for collaborating with service providers of CALD communities to raise awareness of disaster risk reduction. SSI provided links to culturally diverse community groups and were instrumental in the planning and implementation of workshops using the PCEP tool for DIDRR. However, as part of the process of collaborating with community agencies, shortcomings in recruitment were identified.
DOI: 10.17632/x8psbz3f6x.2
title: MILimbEEG: An EEG Signals Dataset based on Upper and Lower Limb Task During the Execution of Motor and Motorimagery Tasks

description: In this work, an experimental methodology for the acquisition of EEG signals from volunteer subjects was developed. The volunteers are colleagues and research fellows from ESPOL and patients of the Hospital Luis Vernaza for participating as test subjects. This dataset consists of over 8680 four-second EEG recordings obtained from 60 volunteers.

Equipment:
We use the OpenBCI Cyton + Daisy (www.openbci.com) Biosensing Board for EEG signal recording. The OpenBCI equipment has an active bandpass filter in the 5 to 50Hz range, additionally, a notch filter at 60Hz. This non-invasive device operates within a sampling frequency of 125Hz and has 16 dry electrodes with two ground references, distributed in the international 10-10 system. All 16 EEG electrodes were recorded in monopolar configuration, in which the potential of each electrode is compared with a neutral electrode located in both lobes of the ears.

Data Description:
Each recording was recorded in a CSV file format, the values of each electrode are in microvolts (uV). In total, each subject generates 124 CSV files in each experiment (run). Some subjects perform two experiments, one executing the motor tasks and the other imagining doing them. The tasks are described below:
- Recording a Baseline with Eyes Open (BEO) without any task command: only once at the beginning of each run.
- Closing Left Hand (CLH): five times per run.
- Closing Right Hand (CRH): five times per run.
- Dorsal flexion of Left Foot (DLF): five times per run.
- Plantar flexion of Left Foot (PLF): five times per run.
- Dorsal flexion of Right Foot (DRF): five times per run.
- Plantar flexion of Right Foot (PRF): five times per run.
- Resting in between tasks (Rest): after each task, in total 31 files.

CSV file encoding:
- Subject ID: Assigned ID to each test subject in order to hide their identity. e.g. Sx, such that x can be any number from 1 to 60.
- Repetition number: The participants may perform more than one repetition of the experiment. ExaOnly one subject volunteered to perform up to 4 repetitions. e.g. Rx, such that x can be any repetition number between 1 and 4.
- Motor or Motor Imagery Activity: For each repetition, participants are asked to perform first the motor tasks (M) and then the motor imagery tasks (I). & Mx and Ix, where x is the Label of the task performed.
- Label: Identifier of the performed task, where 1 is for BEO, 2 for CLH, 3 for CRH, 4 for DLF, 5 for PLF, 6 for DRF, 7 for PRF and finally 8 for Rest. e.g. M2 represents the CLH Motor task.
- Task repetition number: Ordinal number of the task repetition. Tasks are presented randomly up to 5 times per run. e.g. S24R1I6_5 is from subject 24, repetition 1, DRF Imagery task. Finally, the number five at the end represents the fifth task repetition in the record.

Additionally, this dataset includes the file "Test_Subject_Annotations.csv", with the demographic information of each of the 60 volunteers, respecting the confidentiality of each individual.
DOI: 10.17632/ydhvyy52wb.2
title: Particle is created by eight lights

description: Today's social progress is entirely a gift of science, but if we look closely, we can easily see that our progress has been made possible by the discovery of the great scientists of the past and the knowledge they have imparted. But the great scientists of the past have shown us only by mathematical solutions. They never imagined that humans would one day travel to space, or that they would actually reach different ‘PLANETS ORBITING THE SUN’. Even today no one has been able to scratch the mathematical or discovery given to them. I respect their contribution. Encouraged by the information that previous scientists have gone through here, I have written each of my articles. I have discussed the structure of atoms and the relationship of light with electrons, protons, neutrons in each of my previous articles. I look at each article from different angles and from different perspectives; I have tried to prove their authenticity by calculating the atomic and light constants, quantum etc. by mathematics. I here would like bring to your attention that whatever is my identity today as scientific inventor from a under developed town of India, where there is no any scope and support from any Govt. or social organization towards this type of research but has to done on my own sacrificing my day to day family needs, is due to Social Media’s (Blog, Twitter, Facebook, Google) and few number of great international organization’s (Like Mendeley data, datacite, Elsevier, narcis.nl. figshare, worldcat, ORCID etc.) kind attention towards my work on "Atomic mass energy primary colour" & “Atomic Mass Energy and Constant.” etc. I know all these discoveries of mine are now a matter of neglect but one day it will be very necessary in the world of science. It’s not an expression of my arrogance, it’s my belief.
DOI: 10.17632/729b2zpdjj.1
title: Diving into Diversity: Copepod Crustaceans in Octocoral Associations

description: This research provides an extensive analysis of the biodiversity and distribution patterns of copepod crustaceans associated with octocoral species. A comprehensive dataset comprising 966 records pertaining to 233 copepod species, encompassing 54 genera, 18 families, and 3 orders, was compiled from 92 scientific papers published between 1858 and 2023, and updated as open data to GBIF. These copepods were found to be closely associated with 183 octocoral species, representing 72 genera and 28 families. The analysis revealed a total of 393 distinct interspecific associations between copepods, classified under the orders Cyclopoida, Harpacticoida, and Siphonostomatoida, and diverse octocorals. Approximately 60% of these associations were reported only once in the literature, which poses challenges to assessing the level of host specificity among the majority of copepod species linked with octocorals. Notably, over 91% of the recorded copepod species were found at depths not exceeding 30 m, with only four copepod species reported at greater depths surpassing 500 m. The presence of these symbiotic copepods was documented across 215 sampling sites situated within 8 of the 12 defined marine ecoregions, with particular attention to the Western Indo-Pacific, Central Indo-Pacific, and Temperate Northern regions. Despite the comprehensive examination of available data, this study highlights substantial gaps in our comprehension of copepod crustacean diversity and distribution in association with octocorals. Moreover, crucial information concerning symbiotic copepods is conspicuously absent for approximately 94% of potential octocoral host species. These disparities emphasize the imperative need for further scientific inquiry to unveil the intricacies of symbiotic relationships and to contribute to a more holistic understanding of copepod–octocoral associations.
DOI: 10.17632/bwzdv623xn.2
title: Comparative proteome, transcriptome and co-expression network data set of six plant species

description: Proteome: MS data was searched with the MaxQuant software (version 1.5.7.5). Searches were performed against the following UniProt protein sequence databases (v20150827): Medicago truncatula, Arabidopsis thaliana, Solanum tuberosum, Oryza sativa, Physcomitrella patens, and Zea mays. Searches used the default precursor mass tolerances (20 ppm first search and 4.5 ppm main search) and a product mass tolerance of 0.35 Da. The in silico digest was set to specific tryptic cleavage and a maximum of two missed cleavages. The fixed modification specified were carbamidomethylation of cysteine residues, and variable modifications were oxidation of methionine and acetylation of protein N-terminus. Peptides and proteins groups were both filtered to a 1% FDR. Label-free quantification was performed within MaxQuant using MaxLFQ. Protein groups were screened for "Reverse" and "Contaminant" identifications. The final protein levels are the LFQ intensity values. Transcriptome: The compendia of transcriptomic datasets for 6 plant species were created using publicly available RNA-seq dataset from Sequence Read Archive. We used the Curse and Prose suite (http://bioinformatics.psb.ugent.be/webtools/Curse/) to construct these expression compendia. First, we searched for datasets corresponding to "RNA-seq" and "Transcriptome analysis" for each species, and manually excluded the experiments which contained mutant, knock-out, and transgenic lines by curating the metadata in the Curse interface. We passed the chosen experiments and genomic sequence files to the Prose tool, which downloads data, performs quality control, and quantifies transcript expression to normalized TPM values. To change the transcript level expression to gene level, we summed up the multiple values of transcript expression for one gene. Co-expression network: We defined a species-specific graph as a fully-connected weighted graph, where the weight corresponds to the Gaussian kernel-based similarity between two gene expression profiles. First, we collected genes that are defined in the orthogroups of 6 species in the previous step (see method in the paper). Then we generated a distance matrix by calculating the pairwise Euclidean distance between two genes of the transcriptome compendium, and finally we transformed it to the similarity matrix using the Gaussian kernel to map the nearer distance to higher similarity.
DOI: 10.17632/72fvy4r3gj.2
title: Online repository for tertiary systematic review about code smells and refactoring

description: Online repository about the paper: "Code Smells and Refactoring: A Tertiary Systematic Review of Challenges and Observations"
DOI: 10.17632/fv3sshb8ph.1
title: Glutathione-S-transferase plays a regulatory role in the oxidative stress response of Megalurothrips usitatus under environmental stress conditions

description: The escalating environmental pollution, coupled with the degradation of the ozone layer, has led to an increase in ultraviolet radiation (UV) at the Earth’s surface. There is also a growing accumulation of pesticide residues in the environment. These stressors are exerting a profound impact on insect populations. When insects are subjected to adverse environmental stressors, their antioxidant enzymes can quickly respond with appropriate feedback adjustments, facilitating their adaptation to environmental changes. Glutathione S-transferases (GSTs), integral members of a multifunctional supergene family in insects, are pivotal in countering environmental stress and detoxifying chemical agents. Through transcriptomic screening and RT-qPCR, this investigation identified MuGSTS1 as a gene whose expression is significantly altered under UV stress. The application of RNAi confirmed the gene’s function in managing oxidative stress induced by UV and lambda-cyhalothrin. The research demonstrated that Megalurothrips usitatus, the M. usitatus caterpillar, adapts to these stressors by modulating the activity of antioxidant enzymes, thereby exhibiting a robust adaptability to UV light and lambda-cyhalothrin exposure. Experimental silencing of MuGSTS1 has been shown to impair the M. usitatus’s oxidative stress management, resulting in accelerated cellular apoptosis and an increased susceptibility to lambda-cyhalothrin, with sensitivity being augmented by a factor of 2.89. These findings provide a theoretical framework for understanding the adaptive mechanisms of insects to environmental stress.
DOI: 10.17632/9d55cttn5h.1
title: Lung X-Ray Image

description: Lung disease encompasses a wide range of conditions that affect the lungs and their ability to function effectively. These conditions can be caused by various factors, including infections, environmental factors, genetic predispositions, and lifestyle choices. Lung diseases can result in symptoms such as coughing, shortness of breath, chest pain, and reduced lung function. Detecting and diagnosing lung diseases is crucial for patient care, as they can have a significant impact on an individual's health and quality of life. Global Impact: Lung diseases have a substantial global impact. According to the World Health Organization (WHO), respiratory diseases, including lung diseases, are responsible for a significant portion of global mortality. In 2016, respiratory diseases were the fourth leading cause of death worldwide, with an estimated 3.0 million deaths attributed to them. Conditions like pneumonia, chronic obstructive pulmonary disease (COPD), and lung cancer contribute to this high mortality rate. Early detection and accurate diagnosis are essential for reducing the burden of lung diseases on public health. The Need to Detect Lung Diseases: Detecting lung diseases is vital for several reasons: Early Intervention: Early detection allows for timely medical intervention and treatment, increasing the chances of successful management and recovery. Disease Classification: Differentiating between various lung diseases, such as pneumonia, tuberculosis, and lung cancer, is crucial for appropriate treatment planning. Public Health: Effective disease detection and management can have a positive impact on public health by reducing the overall disease burden. Lung X-Ray Image Dataset: The "Lung X-Ray Image Dataset" is a comprehensive collection of X-ray images that plays a pivotal role in the detection and diagnosis of lung diseases. This dataset contains a large number of high-quality X-ray images, meticulously collected from diverse sources, including hospitals, clinics, and healthcare institutions. Dataset Contents: Total Number of Images: The dataset comprises a total of 3,475 X-ray images. Classes within the Dataset: Normal (1250 Images): These images represent healthy lung conditions, serving as a reference for comparison in diagnostic procedures. Lung Opacity (1125 Images): This class includes X-ray images depicting various degrees of lung abnormalities, providing a diverse set of cases for analysis. Viral Pneumonia (1100 Images): Images in this category are associated with viral pneumonia cases, contributing to the understanding and identification of this specific lung infection. In conclusion, the "Lung X-Ray Image Dataset" plays a crucial role in the healthcare sector by providing a diverse and well-documented collection of X-ray images that support the detection, classification, and understanding of lung diseases. This resource is instrumental in advancing the field of respiratory medicine and improving patient outcomes.
DOI: 10.17632/dhcf8jbhd4.2
title: Chen_et_al_Molecular_Cell

description: Raw_Images
DOI: 10.17632/f69njddj98.2
title: Replication Package for "Financial Inclusion, Economic Development, and Inequality: Evidence from Brazil"

description: Replication Package for "Financial Inclusion, Economic Development, and Inequality: Evidence from Brazil"
DOI: 10.17632/s5pp8kk52d.1
title: Data for: Fintechs: A Literature Review and Research Agenda

description: *** The file "20180220Fintechs.start" was an input file to StArt (StArt - Systematic Review (SR) is a technique used to search for evidence in scientific literature that is conducted in a formal manner, applying well-defined steps, according to a previously elaborated protocol. As the SR has many steps and activities, its execution is laborious and repetitive. Therefore, the support of a computational tool is essential to improve the quality of its application. Therefore, a tool called StArt (State of the Art through Systematic Review) was developed, which aims to help the researcher, giving support to the application of this technique. The StArt tool has being used by graduate students who have declared its positive support and its advantages in relation to other tools.) DOWNLOAD SITE: Available: "http://lapes.dc.ufscar.br/tools/start_tool" - Accessed 17 Sep 2018. *** The file "20180321AmostraWofSc & Scopus-UpdatedSample.xlsx" is an excel spreadsheet used to record the sample jobs and perform quantitative data searches and treatment especially to answer Research Question 1 and the questions derived from it.
DOI: 10.17632/j9773cyr3k.1
title: NIR-SC-UFES: A portable NIR spectral dataset to skin cancer in vivo

description: In recent advancements, computer-aided diagnostic (CAD) for skin lesions using images and metadata has grown, yet it lacks details on lesion molecular structure. NIR spectroscopy offers unseen insights for CAD. Given skin cancer's severity and the need for early detection, the absence of public datasets hampers machine and deep learning (MDL) applications in spectroscopy. Addressing this gap, UFES's Dermatology Assistance Program developed the NIR-SC-UFES dataset, capturing 714 NIR spectra spanning benign conditions and skin cancers. This resource aims to empower researchers in AI and Chemometrics for enhanced automated skin cancer diagnosis.
DOI: 10.17632/p9zt8dfx75.1
title: Spectrophotometric determinations of ∆pH/∆T

description: This data supports the findings in the manuscript titled "Predicting pH at in-situ temperature for aquatic environments". Experiments were performed to analyze how the pH of seawater changes with changing temperature conditions (∆pH/∆T) across a range of salinities. Data was collected by measuring pH spectrophotometrically with simultaneous temperature measurements via a mini surface temperature probe. The total alkalinity (AT) of the seawater sample and salinity were measured for each sample to fully define the marine CO2 system. ∆pH/∆T was determined for a pH (at 25°C) range of 7.2–8.2, a temperature range of 15–40°C and salinities 10.1, 20.2, 30.2, and 36.1.
DOI: 10.17632/dm45fcn69d.1
title: TB2J: A python package for computing magnetic interaction parameters

description: We present TB2J, a Python package for the automatic computation of magnetic interactions, including exchange and Dzyaloshinskii-Moriya, between atoms of magnetic crystals from the results of density functional calculations. The program is based on the Green’s function method with the local rigid spin rotation treated as a perturbation. As input, the package uses the output of either Wannier90, which is interfaced with many density functional theory packages, or of codes based on localized orbitals. One of the main interest of the code is that it requires only one first-principles electronic structure calculation in the non-relativistic case (or three in the relativistic case) and from the primitive cell only to obtain the magnetic interactions up to long distances, instead of first-principles calculations of many different magnetic configurations and large supercells. The output of TB2J can be used directly for the adiabatic magnon band structure and spin dynamics calculations. A minimal user input is needed, which allows for easy integration into high-throughput workflows.
DOI: 10.17632/nk3k3rdv7v.1
title: Understanding the determinants of household cooking fuel choice in sub-Saharan Africa: Evidence from Nigeria

description: This dataset was sourced from the fourth wave of the Nigerian Living Standard Measurement Survey (LSMS) datasets to examine the influence of remittances on cooking fuel choices, among other factors in Nigeria. 
The dependent variable is households’ cooking energy choice obtained by asking households to state their cooking energy preference. It consists of thirteen (13) unordered cooking energy options, categorised into traditional (wood, animal waste, sawdust, coal briquette), transitional (kerosene, coal, and charcoal), and modern (LPG gas, piped natural gas, biogas and electricity) energy sources consistent with energy ladder literature. Variables such as remittance, gender, marital status, access to electricity, access to credit, household location, ownership of dwelling and geopolitical zone were operationalised as categorical variables, while household head education, average household education, distance to road, distance to market, dependency ratio and wealth index are continuous.
DOI: 10.17632/fywnpsjfpc.1
title: OCV test Voltage and Current Data - Samsung-30T INR21700 Battery

description: Voltage and Current measurements during discharging and charging of a Samsung-30T INR21700 battery
DOI: 10.17632/rbyszyd6g7.1
title: ANÁLISIS BIBLIOMÉTRICO DE LA PRODUCCIÓN CIENTÍFICA SOBRE OBESIDAD INFANTIL

description: El presente archivo contiene:
1. Base de datos crudas o sin procesar
2. Procesamiento de datos
3.Criterios de búsqueda
4. Flujograma de selección de archivos
DOI: 10.15468/dl.ka9kac
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix dactylifera L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 422 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009156-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10863233
title: Coffee Sales