cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5286025.v1
title: SBSB 2015 adolescentes dataset

description: Stata 8.0 format SBSP -2015 survey database of a representative sample of the adolescent population living in the state of São Paulo, Brazil.
DOI: 10.6084/m9.figshare.7467401.v2
title: Triple Negative Breast Cancer Data

description: vcf data from whole exome sequencing of tumor from Thai patients with triple negative breast cancer between 2014 and 2017.<br>
DOI: 10.6084/m9.figshare.c.3625724_d2.v1
title: Additional file 1: of Reductions in hypothalamic Gfap expression, glial cells and α-tanycytes in lean and hypermetabolic Gnasxl-deficient mice

description: RNAseq list of gene expression changes in hypothalamus samples from Gnasxl m+/p- mice versus WT littermates. Genes are listed by their log2(fold change) from most up-regulated to most down-regulated. (XLSX 5507 kb)
DOI: 10.17632/844jnnbpdw
title: LINF_190016000

description: Diacylglycerol kinase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/kjgrct2yn3
title: Fitness-gym and Living-room Occupancy Estimation Data

description: This dataset comprises the environmental information (pressure, altitude, humidity and temperature) and corresponding occupancy level of two different locations: (1) a fitness-gym and (2) a living-room. The fitness-gym data were collected over six days between September 18 and October 02 of 2019. The living-room data were collected over 11 days be-tween May 14 and June 4 of 2020. Additionally, the number of mechanic ventilators is provided for the living-room data.
DOI: 10.17632/nwcbbzzhvy
title: Data for: The Effects of Leadership Change on Team Escalation of Commitment

description: Data for Study 1 and Study 2 (The Effects of Leadership Change on Team Escalation of Commitment)
DOI: 10.6084/m9.figshare.28358720.v1
title: Genotypic data of the garden rose association panel (2023).

description: Genotypic data of the garden rose panel (2023). WagRhSNP Chip and fitTetra were used for analysis. SNP data was related to the <i>Rosa chinensis</i> Genome v1.0 (Hibrand Saint-Oyant et al., 2018).
DOI: 10.6084/m9.figshare.4555513.v1
title: Köppen’s climate classification map for Brazil

description: This set of files contains the original paper "Köppen’s climate classification map for Brazil", the climate map in rasterfile format and a spreadsheet with climate database for each of Brazilian municipalities. The values ​​of altitude, temperature, and rainfall represent the average of the pixels (100 m) within the perimeter of each municipality. Only the most representative Köppen climate type was considered in each municipality.
DOI: 10.17632/d6385g6kv6
title: POLB SNPs Dataset

description: Research Hypothesis: 
Our study focuses on the critical role of DNA polymerase β (Polβ), encoded by the POLB gene, in the base excision repair process. This DNA repair is important for maintaining genomic stability. We hypothesize that Single Nucleotide Polymorphisms (SNPs) within the POLB gene may influence the enzyme's ability to repair DNA, affecting the likelihood of cancer development. By employing bioinformatics tools to extract significant features from SNPs and utilizing machine learning algorithms, we aim to predict cancer development associated with specific POLB gene mutations.

Data Overview: 
The dataset comprises SNPs within the Polymerase Beta (POLB) gene, significant for studying genetic variations related to cancer. It includes raw and processed data:
• Positive SNPs: 232 known cancer-related SNPs from the COSMIC and NCI databases, within the human genome (hg19).
• Unknown SNPs: Around 12,000 SNPs (hg19) obtained from dbSNP, not yet determined to be positive or negative in cancer association.
• Processed Data: A matrix of 813 SNPs with bioinformatics features, prepared for classification via machine learning.


Data Interpretation:
The classification code available via GitHub facilitates further research and study replication. Researchers can use the processed data for immediate machine learning classification or explore the raw data for more in-depth study.

Summary of Findings:
Our study highlights the critical role of the POLB gene in DNA repair and cancer prevention. Highlighting the potential of combining bioinformatics tools and machine learning to develop predictive models for genetic and cancer research using Single Nucleotide Polymorphisms (SNPs) within the POLB gene.
DOI: 10.17632/gxwhctjcy8
title: Dataset on Self-Employed Youths’ Financial and Retirement Literacy

description: This dataset captures self-employed youth’s financial and retirement literacy levels, including their awareness, knowledge, and capability levels, on top of demographics. The data is available in Excel format. A total of 300 responses were recorded where 54 questions were asked in the survey ranging from demographic information to savings behaviour. The data is rich and usable to analyse relationships that govern financial literacy and retirement readiness in a still niche but rapidly expanding group of workers in an emerging economy like Malaysia. Further, the data can also be compared across countries given that the survey questions were adapted from OECD’s 2011 Measuring Financial Literacy: Questionnaire and Guidance Notes for Conducting an Internationally Comparable Survey of Financial Literacy.
DOI: 10.6084/m9.figshare.5419216.v4
title: Painters network

description: Data associated with paper: "Community detection with metadata in a network of influence between painters"
DOI: 10.15468/dl.vajwys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pappostipa major (Speg.) Romasch.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013030-250525065834625/datasets/export for details.
DOI: 10.17632/9wpnhty7zk
title: Data for: Matrix-fiber interface debonding in soft materials: Modeling and microstructural evolution

description: Movies showing the local stretch maps regarding the cyclic tensile tests on PDMS-GF composites with different material anisotropy captured via the digital image correlation (DIC) technique. The inhomogeneous evolutions of the damage reflected in the residual stretches in the composites after unloading are indicated. The tensile tests are conducted at a quasi-static rate of 5mm/min.
DOI: 10.17632/x4hgnjj5gv
title: ArsenicSkinImageBD

description: Type of data: Image file (Dimension: 244p x 244p) Data format: PNG Number of images: The dataset contains 8892 images in "Augmented" folder, and in the "original" folder, each of the healthy and affected folders contain 741 images, in total 1482 distinct images. Diseases considered: Arsenicosis Number of classes: Two (Affected and healthy). Distribution of instances: Both the affected and the healthy category has 4446 images. How data are acquired: Human subjects were photographed using four smartphones with different camera specifications. Data source locations: 1. Village: Betbaria, Ward:08, Union: Balidanga, 2. Village: Balubagan, Ward:08, Union: Maharajpur, 3. Village: Dole para, Ward:09, Union: Maharajapur, 4. Village: Ramchandrapur hat, Ward:08, Union: Dohilpara, Sadar, Chapainawabganj. Where applicable: Suitable in dermatology, to distinguish affected and healthy skin. Folder Structure: Provided in the readme file.
DOI: 10.6084/m9.figshare.27894102.v2
title: <b>The dataset is supplement data of the article</b><b> "High clay </b><b>content promotes </b><b>microbial necromass persistence by reducing</b><b> its </b><b>microbial mineralization and leaching"</b>

description: The dataset was used to characterize the impact of clay content on the decomposition of bacterial and fungal residues, with two main themes: the first contains R codes for PCA and PCOA analysis, the second contains data. The data in this dataset were obtained from an in-situ labeling decomposition experiment, which included three clay content treatments of 20%, 40% and 60%, and two residue types of bacterial and fungal residues, with a total of six treatments, each repeated three times, and three control treatments without adding residues, each repeated once.
DOI: 10.17632/np2fx99hn6
title: GutierrezBarragan_CB2021_awake_rsfMRI_mouse

description: Resting state fMRI data from n=10 awake mice from Gutierrez-Barragan et al. 2021  (DOI pending). Scans were acquired at the IIT laboratory in Rovereto (Italy) on a 7.0 Tesla MRI scanner (Bruker Biospin, Ettlingen) with a BGA-9 gradient set, a 72 mm birdcage transmit coil, and a four-channel  solenoid receive coil. Awake scans used a single-shot echo planar imaging (EPI) sequence with the following parameters: TR/TE=1000/15 ms, flip angle=60°, matrix=100 x 100, FOV=2.3 x 2.3 cm, 18 coronal slices (voxel-size 230 x 230 x 600 µm), slice thickness=600 µm and 1920 time points, for a total time of 32 minutes.  It is suggested to remove the first 120 scans (2 minutes) to account for thermal gradient equilibration.
DOI: 10.17632/42mzcbtk3h
title: Data for: An Environmental Scan of Online Resources for Informal Family Caregivers of ICU Survivors 

description: This set contains a table of results from our environmental scan, undertaken to identify and collate a comprehensive repository of online resources on subjects considered by experts and service users as important to family caregivers of ICU survivors. We searched for online resources using social media, professional society websites, and the internet using Google as well as contacting our professional networks to identify additional resources. Information categories identified by experts and service users were developed by the project team. Our search identified 301 online resources which were grouped into informational categories according to the content of each online resource. The online resources identified are listed and described. The information category each online resource fulfils is indicated by an ‘X’.
DOI: 10.25402/nnm.21353463.v1
title: Efficacy increase of lipid nanoparticles in vivo by inclusion of bis(monoacylglycerol)phosphate - Supplementary data

description: Aim: To investigate the effect of incorporating bis(monoacylglycerol)phosphate (BMP) lipid into a
lipid nanoparticle and the functional transport of mRNA by the formulated nanoparticles in vivo.
Materials & methods: The nanoparticles were prepared from ionizable lipid, 1,2-distearoyl-sn-glycerol-3-
phosphocholine, cholesterol, 1,2-dimyristoyl-sn-glycerol PEG 2000, BMP and formulated mRNA encoding
human erythropoietin. We measured the effect of BMP on physicochemical properties and impact on
functional efficacy to transport mRNA to its target cells/tissue as measured by protein expression both in
vitro and in vivo. Results: Lipid nanoparticles composed of BMP displayed increased endosomalmembrane
fusion and improved mRNA delivery to the cytosol. Conclusion: The results establish the foundation for
future development of these nanoparticulated entities by designing new BMP derivatives and correlating
structures to enhanced pharmacokinetic profiles.
DOI: 10.6084/m9.figshare.17027099.v1
title: 1010i-CGATGT_S1_L001_R1_001.fastq.gz

description: DNA methylation data across 5x10^6 CpG loci, derived from buccal cells of 6-month-old infants. Method is bisulfite treatment followed by next-generation sequencing using Illumina SeqCap Epi Enrichment platform.
DOI: 10.17632/685vgp64sm
title: Non-Synthetic European Low Voltage Test System

description: In this work, a standard network made with real data obtained from the GIS (Geographical Information System) of the company, combined with real readings from smart meters is proposed. The authors not only provide (as additional material) the raw data obtained from the GIS and the Smart Meters but also the necessary MATLAB functions to automatically build the OpenDSS model, load it with the real data of the smart meters for 20 days and solve the power flow problem. The present system represents a real European low voltage urban distribution network with 10290 nodes, 8087 customers, 1138 power supplies, 136 fuses/breakers and 30 power transformers. The use and development of standard test systems has been critical for testing all kind of algorithms, operation procedures and planning purposes in transmission and distribution networks. With the irruption of the advance metering infrastructure based among others on smart meter technology, distribution systems suffered a drastic modernization in many regions of the world. The smart grid concept translated to the terminal distribution systems implies a drastic change of paradigm in the way these kind of systems have been planned and operated. Even when there exist several distribution test systems, most of them are synthetic and there is very few test feeder and networks representing European style distribution system. In this paper, a real comprehensive distribution test network representing a network of a typical town in Europe is presented. The model also has a provision to incorporate the smart meter data as obtained from the consumer's meter to study the distribution network states. This test network will provide the researchers a tool to work in algorithms and optimization of resources for European style distribution systems. The test network also includes the effect of neutral voltage in European style distribution network. The researchers provide together with the distribution company the raw data extracted from the GIS system and all the functions to convert the data into an OpenDSS model as well as the loads extracted from real smart meters representing 20 days. ' The function A_MakeNet.m is used prepare OpenDSS file and save it in folder RunDss The function B_MakeLoad.m is used to create the load-shape file from the smartmeter data extracted in file1, file2, etc. The OpenDSS code thus generated from raw-data is stored in folder /RunDss. The file 'Master.dss' is a default file and is also available in /RunMat/SrcDss. Power flow simulation can now be done by running C\_Run.m in MATLAB. It makes use of COM interface to do powerflow simulation in OpenDSS engine and stores the final result in /mat/bus.mat. The explanations about the data set, and all the functions are contained in a paper with the same title of the dataset that it is under review and will be linked to this dataset.
DOI: 10.17632/nrbzv2rg66
title: 2023 Student Affairs Assessment Leaders (SAAL) Survey of the Landscape

description: Second stage (NGT data already exists here, from first stage) of a research project. Exploratory study, no hypotheses.
Survey methodology, online questionnaire included mixed data; we used Minitab Statistical software and Observation Oriented Modeling (OOM) software for analysis. Data analysis indicated multiple impacts by Accreditor, Institution Type, and Institutional Designation. Qualitative data analyzed using MAXQDA and a legitimization framework adapted from Deephouse & Suchman, (2017).

IRB approval, West Texas A&M University.
DOI: 10.4121/14672715.v1
title: Qualitative data analysis of the field study of Grippy, PhD thesis - Get a grip on stress: Designing smart wearables as partners in stress management

description: Results of qualitative data analysis of a field study of a smart wearable system (Grippy) aiming to help people deal with daily stress. This dataset has been anonymized.
DOI: 10.6084/m9.figshare.19732560.v1
title: Trait measurements for "Global ecomorphological restructuring of dominant marine reptiles prior to the K/Pg mass extinction"

description: Trait measurements (functional / biomechanical ratios) calculated from each specimen of mosasaurid, species averaged and used in the current study
DOI: 10.6084/m9.figshare.22776251.v1
title: Further development of the reflective practice questionnaire (data)

description: Raw data for the article titled 'Further development of the Reflective Practice Questionnaire'
DOI: 10.6084/m9.figshare.22916858.v1
title: BCI-Net 2022: The Database of BCI Controlled Robot Contest in World Robot Contest 2022

description: The brain-computer interface (BCI) is a rapidly advancing technology that enables individuals to interact with external devices using their brain signals. This article introduces BCI-Net, a comprehensive database curated from the BCI Controlled Robot Contest in World Robot Contest, a prominent BCI competition in China. BCI-Net encompasses various BCI paradigms and applications, including steady-state visual evoked potential based BCI (SSVEP-BCI), motor imagery based BCI (MI-BCI), rapid serial visual presentation based based BCI (RSVP-BCI), affective BCI, and BCI Turing test. The database in the present study was curated from the final round of the contest and features real-world scenarios as well as extensive validations by participating teams. The introduction of the BCI-Net database in the BCI community holds promise to accelerate the development of BCIs and facilitate the design of cutting-edge BCI systems and decoding methods toward real-world applications. The BCI-Net database is freely accessible and available for download via the provided link http://bci.med.tsinghua.edu.cn/download.html.
DOI: 10.6084/m9.figshare.3482279.v1
title: Supplementary Material for: Inter-Rater Agreement in the Clinical Diagnosis of Cognitive Status: Data from the Neurological Disorders in Central Spain 2 Pilot Study

description: <i>Background:</i> To assess the diagnostic agreement of cognitive status (dementia, mild cognitive impairment (MCI), normal cognition) among neurologists in the field of neurological disorders in Central Spain 2 study. <i>Methods:</i> Full medical histories of 30 individuals were provided to 27 neurologists: 9 seniors, 10 juniors and 8 residents. For each case, we were asked to assign a diagnosis of dementia, MCI or normal cognition using the National Institute on Aging-Alzheimer's Association workgroup (NIA-AA) core clinical criteria for all-cause dementia, Winblad et al. criteria for MCI, and analyze intensity and etiology if dementia was diagnosed. Inter-rater agreement was assessed both with percent concordance and non-weighted ? statistics. <i>Results:</i> Overall inter-rater agreement on cognitive status was ? = 0.76 (95% CI 0.65-0.86), being slightly higher among junior neurologists (? = 0.85, 95% CI 0.73-0.95) than among seniors (? = 0.71, 95% CI 0.59-0.83) and residents (? = 0.69, 95% CI 0.54-0.81) but without statistical significance among groups. Dementia severity showed an overall ? of 0.34, 0.44 and 0.64 for mild, moderate and severe dementia respectively. <i>Conclusions:</i>Substantial agreement was demonstrated for the diagnosis of cognitive status (dementia, MCI and normal cognition) among neurologists of different levels of experience in a population-based epidemiological study using NIA-AA and Winblad et al. criteria. The agreement rate was lower in the diagnosis of dementia severity.
DOI: 10.17632/44pfnysy89
title: Gait Dataset for Knee Osteoarthritis and Parkinson's Disease Analysis With Severity Levels

description: Computer-vision seems to be the most focused area in order to perform efficient diagnosis in clinical applications. The direct connection among human brain and the musculoskeletal system directed our effort towards the analysis of such diseases that have the significant impact on a person's gait such as knee osteoarthritis (KOA) and Parkinson's Disease (PD). Previous research on these diseases based on gait involves certain drawbacks including unavailability of a vision-based public and authenticated dataset. Thus, we created and presented a new dataset namely "KOA-PD-NM" while keeping various factors into consideration (e.g. age, gender, disease severity levels, etc.). This dataset involves both normal/healthy (NM) and abnormal (KOA, PD) subjects and don't allow the analysis of only lower body (limbs) but the upper body (arm, posture) movement too. The key aim of this dataset is to analyze the deviations among patient's and normal's gait. The construction of this dataset will surely help the researchers and the society towards this area for prediction of diseases with different stages and the development of better techniques and strategies.
DOI: 10.17632/962wd8bch4
title: HemoData: A Comprehensive Dataset for Hemophilia Diagnosis and Research

description: Data Description:
This dataset provides comprehensive insights into the epidemiology of haemophilia in Bangladesh, encompassing data from 2,788 individuals. It includes demographic details, severity profiles (mild, moderate, and severe cases), regional distribution, and the prevalence of haemophilia types (A, B, and others). The data was collected in collaboration with the Hemophilia Society of Bangladesh to ensure accuracy and relevance.

Purpose:
The purpose of this dataset is to support research on haemophilia in Bangladesh, aiming to improve diagnosis, treatment accessibility, and healthcare outcomes. It seeks to guide healthcare policies and interventions for equitable care and enhanced quality of life for haemophiliacs.
DOI: 10.17632/j545x729m6
title: Nurse-Patients Data and Geographic Distances

description: The data contains information for the patients of a single nurse who is responsible to visit them. In each folder, there are different number of patients for the same nurse and further the data is divided as loose time windows and tight time windows in each folder. In each folder, there is a Data.csv file which contains patients' ID, their geographic information, the time windows in which they can be visited, the last visit date which represents the last visit date the nurse has visited the patients. The Distance file contains geographic distance matrix in terms of meters from nurse's home location to patients and from patients to patients.