cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bpnyssjtnc.1
title: E-wallet Study Dataset from 1984 to 2019

description: The e-wallet or electronic wallet research & publication dataset, which was indexed by Scopus from1984 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/frbg5sbhbk.1
title: SEM-WDS x STEM-EDS: Improving how we measure Mn partitioning in retained austenite in medium-Mn TRIP steels

description: Data available for the article entitled "SEM-WDS x STEM-EDS: Improving how we measure Mn partitioning in retained austenite in medium-Mn TRIP steels"
DOI: 10.17632/nbtp99bd76.1
title: Random uniform distributions of 2D circles and 3D spheres

description: This dataset contains random uniform distributions for a large number of 2D and 3D balls, along with the description files and examples of usage. It provides the possibility for fast pick up of the random sets of smaller subsamples, with the guaranteed statistical properties such as random uniform distribution of balls, the predefined expected volume ratio of balls, and also the minimum distance between them. The main data is contained in two files 'kernels2D.npy' and 'kernels3D.npy' which are the arrays of centers of the balls with unitary radius (r=1). Data is stored in NumPy format (https://numpy.org). The shape of these arrays is (nc, nd, N, D), where 'nc' is the number of considered void ratios, 'nd' - number of considered distances, 'N - maximum number of generated centers, and 'D' - space dimension. The 'kernels2D.json' and 'kernels3D.json' files are the description files stored in JavaScript Object Notation format. They can be previewed in the Firefox web browser and edited in any text editor. The most important entries in the description files are: * 'c' - list of considered expected volume ratios of balls (of length 'nc'); * 'd' - list of considered additional distances between balls (of length 'nd'); the final distance is guaranteed to be not less than 2*r + d; * 'Ncd' - numbers of ball centers generated for all (c, d) pairs; * 'nsamples' - a dictionary containing numbers of subsets of different sizes (given by radius 'R' or equivalently by the expected number of balls) required to obtain a mean value of the ball volume ratios at the required accuracy ('rmargin') with assumed 'confidence'; this dictionary contains also the precomputed estimates of the standard errors for the ball volume ratio values ('sigma'). In order to use this data first decide which volume ratio you are interested in and what are the minimum distances between balls required. Then establish the indices 'i', 'j' of your values in 'c' and 'd' lists, respectively. Next, get the number of centers generated for chosen geometric configuration from 'Ncd' array and finally retrieve centers from .npy file. Consider this python code snippet as an example: """ import numpy as np import json description = json.load(open('kernels3D.json', 'r')) kernel = np.load('kernels3D.npy') c = 0.065; i = 11 d = 0.025; j = 5 N = description['Ncd'][i][j] centers = kernel[i, j, :N]` """ The directories 'example2D' and 'example3D' contain the sets of subsamples of different sizes picked up from kernels for specific volume ratio and ball distances. Names of subdirectories are just the expected numbers of balls in the subsamples. Subdirectories contain the self-explanatory description files (.json), the array of centers retrieved form from kernels (.npy file), and the geometry and finite element files for all subsamples (.brep and .msh files) to be used in computations. Description files contain also the results of computations performed in the research paper [to be published].
DOI: 10.17632/mpjzbtfgfr.1
title: Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front

description: A previously established highly multiplexed tissue cytometry platform called CO-Detection by indEXing (CODEX) was re-engineered here here to create multidimensional imaging datasets of human colorectal cancer (CRC) tissue microarrays from archival, paraffin-embedded samples and tissue microarrays (TMAs). In this procedure, DNA-barcoded antibodies bound to antigens present in the tissue were iteratively rendered visible by hybridizing complementary fluorescent DNA oligonucleotides. An algorithmic pipeline was used to process raw imaging data, segment and identify single cells and their localizations within tissues, and quantify their marker expression. Unsupervised clustering, followed by manual curation of clusters based on marker expression, morphology and tissue localization, was used to call out specific cell types. Expression of selected markers per cell were manually gated in CellEngine (https://cellengine.com). Cellular neighborhoods were algorithmically identified. We identified nine conserved, distinct cellular neighborhoods (CNs)–a collection of components characteristic of the CRC iTME. Enrichment of PD-1+CD4+ T cells only within a granulocyte CN positively correlated with survival in a high-risk patient subset. Coupling of tumor and immune CNs, fragmentation of T cell and macrophage CNs, and disruption of inter-CN communication was associated with inferior outcomes. This study provides a framework for interrogating how complex biological processes, such as antitumoral immunity, occur through the concerted actions of cells and spatial domains. CRC_clusters_neighborhoods_markers.csv table contains cell types annotation, expression profiles, coordinates, neighborhood affiliation of all segmented objected identified in the TMAs analyzed in this study. In addition, it contains information on the expression of selected markers Ki-67, PD-1 and ICOS on macrophage populations and T cell subsets.
DOI: 10.17632/mzjvzv69p2.1
title: List of Scopus Indexed Journals_May 2021

description: List of Scopus Indexed Journals May 2021 Accepted titles May 2021 Discontinued titles May 2021 Serial Conf. Proc. with profile All Conf. Proceedings More info Medline ASJC classification codes
DOI: 10.17632/kxd48sck74.1
title: High-resolution X–ray diffraction datasets: Calcium Carbonates 

description: The dataset is a collection of Calcium Carbonate XRD spectra from samples collected from three countries namely, Spain, Italy and Saudi Arabia. The concentration of Calcium Carbonate in the samples vary   between 30-99%. The spectra were acquired on a Malvern PANalytical EMPYREAN Diffractometer system at two theta range 2- 70 and 0.01 step size. The dataset is shared in three formats .xy, .xrdml, .raw
DOI: 10.15468/dl.4b6syd
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus koraiensis Siebold & Zucc.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 384 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009222-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dy535k722r.1
title: Supplemental material - Multispecies pasture diet and cow breed impact the functional lipid profile of milk across lactation in a spring-calving dairy system

description: Supplemental material - Multispecies pasture diet and cow breed impact the functional lipid profile of milk across lactation in a spring-calving dairy system
DOI: 10.17632/g5nzp6j3bt.3
title: Effective Forest Fire Detection Data-set for Heterogeneous Wireless Multimedia Sensor Networks

description: Forest fire images for deep learning.

Please acknowledge the use of this dataset by referencing the following:

Kizilkaya, Burak, Enver Ever, Hakan Yekta Yatbaz, and Adnan Yazici. "An Effective Forest Fire Detection Framework Using Heterogeneous Wireless Multimedia Sensor Networks." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 18, no. 2 (2022): 1-21.
DOI: 10.17632/mnr2zx92h3.1
title: Monte Carlo-calculated depth distributions of K and L x-ray fluorescence generated by keV electrons incident upon thick targets made of Au, W, Rh, Mo, Cu, and Cr

description: Provided is the following: (1) Monte Carlo-calculated (PENELOPE [v. 2014]) K and L x-ray fluorescence differential in electron penetration depth scaled by the continuous slowing down approximation (CSDA) range. (2) Radiative transition data and photon mass attenuation coefficients extracted from the PENELOPE materials database. (3) An example MATLAB code that implements the provided data in an analytical model for the prediction of characteristic x-ray emission from a thick tungsten target.
DOI: 10.17632/3hbcscwz44.1
title: HUPA-UCM Diabetes Dataset

description: This dataset provides a collection of Continuous Glucose Monitoring (CGM) data, insulin dose administration, meal ingestion counted in carbohydrate grams, steps, calories burned, heart rate, and sleep quality and quantity assessment acquired from 25 people with type 1 diabetes mellitus (T1DM). CGM data was acquired by FreeStyle Libre 2 CGMs, and Fitbit Ionic smartwatches were used to obtain steps, calories, heart rate, and sleep data for at least 14 days. This dataset could be utilized to obtain glucose prediction models, hypoglycemia and hyperglycemia prediction models, and research on the relationships among sleep, CGM values, and the rest of the mentioned variables. This dataset could be used directly from the preprocessed version or customized from raw data.
DOI: 10.17632/tzjzkyrrvh.1
title: Data: White and amber light at night disrupt sleep physiology in birds
DOI: 10.17632/vmjphkthn8.1
title: Dataset accompanying PhD thesis: Who benefits most? Evaluating and understanding clinical and biomechanical outcomes following structured education and exercise therapy interventions for people with knee osteoarthritis

description: This statistical code was generated for the data analysis of three research studies as part of a PhD thesis titled: Who benefits most? Evaluating and understanding clinical and biomechanical outcomes following structured education and exercise therapy interventions for people with knee osteoarthritis.

Study 2 (Chapter 5) was a methods paper titled " A statistical model of agreement in subjective rating scales—an exploration of the Kellgren-Lawrence radiological grading system." This paper outlines a workflow for a statistical modelling approach for defining radiological knee OA severity and rater agreement from the Kellgren-Lawrence (KL) system. The analysis utilises the cumulative-link model as implemented in 'brms' (https://doi.org/10.1177/2515245918823199). The data generated were used in study 3 and 4. 

Study 3 (Chapter 6) was a clinical outcomes study titled " The relationship between radiological OA severity or body weight and outcomes following a structured education and exercise therapy program (GLA:D®) for people with knee osteoarthritis." This pre-post study of 33 participants with knee OA evaluated the relationship between a person's body weight or radiological knee compartment severity and short-term outcomes following the GLA:D® program. The data and workflow for this study have been provided which includes the R code for all models and graphics. 

Study 4 (Chapter 7) was a biomechanical study titled " Knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following a structured education and exercise intervention (GLA:D®) for knee osteoarthritis". This pre-post study of 31 participants with knee OA evaluated knee joint moment changes during walking and chair-rise and the relationship to radiological knee OA severity and body weight following the GLA:D® intervention. The documents provided includes the preprocessing workflow that imports the original csv files generated from VICON and the code to generate the secondary parameters (such as peak values and total areas under the curve).
DOI: 10.17632/7cz7mch4bz.2
title: A dataset of cognitive tests with various variables for dyslexic children, Iran 2023

description: The primary hypothesis posited that the Program for Attentive Rehabilitation of Inhibition and Selective Attention (PARISA) would significantly improve inhibitory control and reading abilities in students with dyslexia. This study's dataset shows all the test results of various cognitive tests measuring inhibitory control, cognitive flexibility, and reading ability. This data shows that PARISA significantly improves aspects of inhibition control, cognitive flexibility, and reading ability in students with dyslexia. The Excel file of the dataset neatly presents all of the variables and related data for the active control group and the experiment group in the pretest and posttest stages. There are also several separate notepads with raw data for each test and participant. 
This study employed a semi-experimental design, specifically a pre-test-post-test format with an active control group. The research population comprised Iranian elementary school students aged 8 to 11 years old with dyslexia, sampled in 2023. Using purposive sampling, 30 students (16 girls and 14 boys) from the Tehran metropolitan area were selected. These participants were randomly assigned to either the intervention or active control group. Participants were excluded if they had any documented history of psychiatric, neurological, or developmental disorders, as reported by the admitting institution. The assessment tools utilized in both the pre-test and post-test phases included the Farsi Apra reading test, WCST, the go/no-go test, and the Stroop task.
Any willing researcher can interpret this dataset by entering pretest and posttest data for each variable in a data analysis tool. The data is stored in a concise and clear manner for any user. Further, you can check the raw data from notepads and compare it manually with the data stored in the Excel file. 
For the reading ability test, since the test materials were paper-based and in Farsi, therefore, no analysis can be derived from the data. However, I have put all the data required in the Excel file.
DOI: 10.17632/yfnrkc7r9x.2
title: Supplemental Information: Androgenic Alopecia - Crosstalk between Cell Signal Transduction Pathways

description: Supplemental tables to the article "Androgenic Alopecia - Crosstalk between Cell Signal Transduction Pathways". Results of pathway analysis of GEO GSE66664 microarray data.
DOI: 10.17632/2hby8s8kv6.2
title: Experts values, Cronbach Alpha and CITC for DEMATEL model

description: Questionnaire. The 12 failure modes served as indices in the development of the DEMATEL questionnaire. A 7-point scale was adopted for the scoring system, where 6 represented the highest effect and 0 represented no effect. The respondents to the DEMATEL questionnaire were the 9 experts that participated in the FMEA survey. The content was explained to the respondents before the questionnaires were administered. All the questionnaires were retrieved, for a retrieval rate of 100%.
The table 3 shows the direct relation matrix, which is the same as pairwise comparison matrix of the experts. Before we create Initial direct-relation matrix, we calculated Cronbach's alpha and CITC based on questionnaires from experts.
Cronbach’s alpha was applied to test the reliability of the data collected from the questionnaires in this research. The test results revealed that the questionnaires used in the DEMATEL analyses are reliable (since exceeds 0.7). The Cronbach’s alpha value in this research was 0.9971.
In this research, the consistency between the survey results will be examined when a group of experts are invited to participate in the DEMATEL survey. Corrected item-total correlation was applied to evaluate the internal consistency of the questionnaire, and it was considered acceptable for the standard of 0.30 (Bernstein, 1994). There are total of 9 experts who joined and shared their opinions regarding this research. The value of corrected item-total correlation can be computed by the Pearson product-moment correlation coefficient. In general, the respondent with the smallest corrected item-total correlation value below 0.30 will be removed and the values of corrected item-total correlation will be calculated again until all the values of corrected item-total correlation for the remaining items are above 0.3. However, all the corrected item-total correlation values are above 0.3 in this research, which means the survey results are very consistent. Thus, no respondent has been removed. The values of corrected item-total correlation for the 9 experts were listed in Table 2 below.
DOI: 10.17632/2w656ppw8f.1
title: Universal Basic Income Literature Dataset (1996-2019)

description: The universal basic income research & publication dataset, which was indexed by Scopus from 1996 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/3j3tmghw33.1
title: Endoscopic real-synthetic over- and underexposed frames for image enhancement

description: In endoscopy examinations, it is very common to come across with exposure errors due to light reflexions in the inner walls of the hollow organs. For instance, when the tip of the endoscope  (which has a light) points to folds, these structures reflect the light, provoking overexposure, and whereas, an underexposed region at the other end of the frame can appear. This can be a big problem for physicians since they are fully responsible of detecting anomalies, blood, or even polyps, that could be translated in warning cases. Currently, methods for enhancing exposure errors need paired data, i.e., corrupted frames and their respective ground-truth (i.e., non-corrupted or clean image). For instance, for natural images the LOL or MIT-Adobe FiveK datasets, which contain common real life images have been proposed. These paired datasets allow researchers to both train and evaluate their models making use of standardized ground-truth images. To the best of our knowledge, in endoscopic domain,  there are not publicly available in the literature. This is due to the difficulty of producing the same frame with and without exposures errors, naturally or with the help of a photo editing expert. Hence, our work aimed to create, through the use of GANs, a paired dataset of real images without any exposure error and the same image with an exposure error, that is a corrupted frame and its ground-truth. 

This dataset consists of three separate datasets containing i) normal endoscopic frames (without exposure errors), ii) synthetic overexposed frames, and iii) synthetic underexposed frames. Therefore, we have 1,231 real-overexposed pairs and 985 real-underexposed pairs; 2,216 paired frames in total, i.e., 4432 frames. Since our method for creating the synthetic data was stochastic, the distribution through the data varied in exposure intensity.
DOI: 10.17632/43sfz58vn7.1
title: Dataset: Air Quality Index (AQI) of Major Indian Cities and Stations 4/5/2024

description: The dataset contains air quality information for various cities across India. It includes parameters such as Air Quality Index (AQI), concentrations of particulate matter (PM2.5 and PM10), ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), as well as geographical coordinates and time stamps. This dataset enables analysis and comparison of air quality levels among different cities, aiding in understanding environmental health impacts and informing policy decisions.
DOI: 10.17632/mcsh4hnb8b.1
title: EV field datasets Tsinghua

description: Three real-world large-scale electric vehicle datasets from 464 EVs of 3 types, including over 1.2 million charging snippets.
DOI: 10.17632/m9kwyp7y22.1
title: Tape strips detect molecular alterations and cutaneous biomarkers in skin of patients with hidradenitis suppurativa

description: Supplementary data to article "Tape strips detect molecular alterations and cutaneous biomarkers in skin of patients with hidradenitis suppurativa"
DOI: 10.17632/phmd4bbv6p
title: CONHECIMENTO DOS ENFERMEIROS - TRAUMA

description: DADOS RELATIVOS AO ESTUDO SOBRE ATENDIMENTO À VÍTIMAS DE VIOLÊNCIA
DOI: 10.17632/m2prrm7c3g.1
title: Online Learning versus Face to Face Learning toward Students: Which can be an effective way of Learning Methodology to our current Educational System?

description: Over the past many decades, Face to Face teaching and learning are the main source of education in the Philippines. These were brought up many years ago by all academic institutions in the community. Many of us learners and educators progressed on how physical classes becomes successful because of its direct and onset teaching-to-learning education. But when the global academe status struck by a health crisis known as the Covid-19 Pandemic dated back the year 2020 until now, many of its educational workforce such as DepEd and CHED decided to transition its academic strategy from face to face learning into online and virtual classes. Thats why every Schools, Colleges, and Universities adjust the way that online learning will transform and managed every cornerstone of our educational management compared with Face to Face Learning.
DOI: 10.17632/7pfzrjpct7.1
title: IT Incidents

description: For the sake of this repository, data have been stripped out of any sensitive information and anonymized (encrypted). In the original solution we worked on a full dataset without any encryptions.
DOI: 10.17632/2n8m8k6b2g.1
title: Molecular logic for cellular specializations that initiate the auditory parallel processing pathways

description: A multimodal cell census and atlas of the mouse cochlear nucleus
DOI: 10.17632/xpsng72kfk.1
title: DATA SPSS

description: TABLES AND FIGURES DYSMENORHEA
DOI: 10.17632/33dz6pk9rg.1
title: Influence of work safety and work stress on productivity

description: This study analyzes the influence of work savety and work stress on work productivity. This research was conducted by Daswir Lelo and Jan Horas Veryady Purba in 2019, and presented at the International Cemference on IEOM.
DOI: 10.17632/sccbx9jzp5.2
title: Operating Theatre Data

description: This data contains six instances based on a case study of an Australian hospital. The data contains an initial elective surgery waiting list, a set of elective requests, and a set of non-elective arrivals. The data also contains randomly generated operating room breakdowns. A set of standard static parameters regarding surgeon availability, surgeon-specialty affiliations, and operating room suitability is also provided.
DOI: 10.17632/fnn7n9vd5n
title: f and o survey report

description: It is describing about losses and profits of traders