cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vm2b5mfhbw
title: Data, MATLAB codes and R codes for "Kernel partial least-squares (KPLS) for multivariate calibration. A tutorial."

description: Two folders are provided. The MATLAB folder contains MATLAB codes for running Kernel PLS cross-validation, calibration and prediction of properties in various data sets: corn, yerba, wheat and meat.
The R folder contains the same data with R codes for the same activities.
DOI: 10.17632/yxfr8jyr5t
title: VVSCND

description: Viable vaccine supply chain network design by considering risk and robustness
DOI: 10.6084/m9.figshare.28596020.v1
title: Code for the article "Sequence-dependent biomolecular phase separation driven by short-ranged interaction: From material properties to coarsening dynamics"

description: Liquid-liquid phase separation (LLPS) of biomacromolecules drives the formation of biomolecular<br>condensates, which possess material properties crucial for various biological functions. While recent<br>studies have primarily focused on LLPS driven by long-ranged, non-specifc interactions, the role of<br>short-range, one-to-one specifc interactions in sequence-dependent behavior still remains elusive. In<br>this study, we combined theoretical analysis and coarse-grained molecular dynamics simulations to<br>systematically investigate the sequence-dependent material properties of biomolecular condensates.<br>By introducing the sequence descriptor ϕ∗, we identifed strong correlations between ϕ∗ and key<br>material or structural properties, such as the single-chain radius of gyration, critical temperature,<br>density, surface tension, viscosity, and diﬀusion coefcient. Notably, near critical points, surface<br>tension and viscosity exhibit distinct scaling relationships with temperature, with viscosity showing<br>much greater sensitivity. Additionally, we found that sequences with high ϕ∗ may impede the<br>efcient growth of droplets. Our fndings provide a framework for understanding sequence-dependent<br>material properties and oﬀer valuable insights into designing biomolecular condensates with tailored<br>stability and dynamic functionality.<br>
DOI: 10.6084/m9.figshare.16677283.v1
title: ILS curriculum of Chiang Mai Rajabhat University

description: ILS curriculum of Chiang Mai Rajabhat University
DOI: 10.17632/r3z55hdt89
title: Datasets for Sustainability Reporting Index of Agricultural & Plantation Companies in Malaysia

description: The dataset contains detailed information on sustainability reporting index in agriculture and plantation companies in Malaysia to assess firms’ adherence to SRG and GRI guidelines.
DOI: 10.17632/3p4j86hwx3
title: Heat stress affects milk yield, milk quality, and gene expression profiles in mammary cells of Girolando cows

description: Heat stress is a noted risk factor affecting dairy producers, animal welfare, and food security. Recently, Girolando cows might be encountering increased challenges in maintaining their homeothermy due to a rise in milk production. This study explores the impact of heat stress on physiological parameters, milk yield, milk quality, and mammary cell gene expression in Girolando cows. Results indicate that heat stress causes a decrease in dry matter intake, rumination frequency, and milk yield. It also leads to elevated vaginal temperature, cortisol release, and changes in mammary cell gene expression. However, the heat stress imposed did not affect milk quality.
DOI: 10.17632/f8p8jtc8rg
title: Data for: Mineral dissolution and precipitation reactions and their net balance controlled by mineral surface area: An experimental study on the interactions between continental flood basalts and CO2-saturated water at 80 bars and 60 °C

description: Raw analytical data of secondary precipitation and aqueous modeling data
DOI: 10.17632/k9r2d9z999
title: Reddit r/AskScience Flair Dataset

description: Reddit is a social news, content rating and discussion website. It's one of the most popular sites on the internet. Reddit has 52 million daily active users and approximately 430 million users who use it once a month. Reddit has different subreddits and here We'll use the r/AskScience Subreddit.

The dataset is extracted from the subreddit /r/AskScience from Reddit. The data was collected between 01-01-2016 and 20-05-2022. It contains 612,668 Datapoints and 25 Columns. The database contains a number of information about the questions asked on the subreddit, the description of the submission, the flair of the question, NSFW or SFW status, the year of the submission, and more. The data is extracted using python and Pushshift's API. A little bit of cleaning is done using NumPy and pandas as well. (see the descriptions of individual columns below).

The dataset contains the following columns and descriptions:
author - Redditor Name
author_fullname - Redditor Full name
contest_mode - Contest mode [implement obscured scores and randomized sorting].
created_utc - Time the submission was created, represented in Unix Time.
domain - Domain of submission.
edited - If the post is edited or not.
full_link - Link of the post on the subreddit.
id - ID of the submission.
is_self - Whether or not the submission is a self post (text-only).
link_flair_css_class - CSS Class used to identify the flair.
link_flair_text - Flair on the post or The link flair’s text content.
locked - Whether or not the submission has been locked.
num_comments - The number of comments on the submission.
over_18 - Whether or not the submission has been marked as NSFW.
permalink - A permalink for the submission.
retrieved_on - time ingested.
score - The number of upvotes for the submission.
description - Description of the Submission.
spoiler - Whether or not the submission has been marked as a spoiler.
stickied - Whether or not the submission is stickied.
thumbnail - Thumbnail of Submission.
question - Question Asked in the Submission.
url - The URL the submission links to, or the permalink if a self post.
year - Year of the Submission.
banned - Banned by the moderator or not.

This dataset can be used for Flair Prediction, NSFW Classification, and different Text Mining/NLP tasks. Exploratory Data Analysis can also be done to get the insights and see the trend and patterns over the years.
DOI: 10.6084/m9.figshare.19158689.v4
title: Predicted Coronavirus Nsp5 Protease Cleavage Sites in the Human Proteome - supplementary data, tables, and figures

description: <b>Additional File 1:</b> This includes Supplementary Tables S1-S16 <b> </b> <b>Additional File 2:</b> human_all_proteins_netcorona.txt (108MB) This is the raw data output by NetCorona following analysis of the “All Human Proteins” dataset <b>Additional File 3:</b> human_one_gene_netcorona.txt (46MB) This is the raw data output by NetCorona following analysis of the “One Protein Per Gene” dataset <b>Additional File 4:</b> dataset human_w_PDB_netcorona.txt (16MB) This is the raw data output by NetCorona following analysis of the “Proteins With PDB” dataset <b>Additional File 5: Figure S1</b> interaction scores vs max NetCorona score.pdf Nsp5-human protein interaction data from Samavarchi-Tehrani <i>et al.</i>, plotted against the maximum NetCorona score for human proteins from the “One Protein Per Gene” dataset. <b>Additional File 6:</b> matching predicted motif to PDB.xlsx Raw data displaying how predicted cleaved motifs were matched to a PDB file <b>Additional File 7:</b> <b>Figure S2</b> ASA vs NetCorona score.pdf Accessible surface area (ASA) of a predicted and known Nsp5 motifs plotted against NetCorona scores, with data published by others highlighted, and the Nsp5 access score cut-off displayed.
DOI: 10.25377/sussex.7116842.v1
title: Research data for paper: 'The Role of Emergent Shared Identity in Psychosocial Support among Refugees of Conflict in Developing Countries'. Jordan survey data-set.

description: Data from survey of 156 Syrian refugees in Jordan, collected 2016, as part of Alfadhli's thesis and forming part of a paper published in International Review of Social Psychology, January 2019. (Expected date of publication)<br><br><b>Abstract</b>In spite of the harsh conditions that refugees of conflicts experience for many years in exile in developing countries, there is evidence showing that refugees of conflict help each other. This study aimed to explore one possible mechanism underlying such support and sought to answer three main research questions: Do refugees share an emergent identity that facilitates support among them (similar to people affected by disasters)? Does this identity-based support have an impact on their health? If so, does this positive impact help to mitigate the negative effect of exile stressors on refugees’ health? We carried out two questionnaire surveys among Syrian refugees, first in Turkey (n = 234) and then in Jordan (n = 156). The data were analysed using path analysis to test hypotheses and build a theoretical model. We found evidence suggesting a process of shared social identity-based support among the refugees. We found that the general health of refugees to be predicted mainly by stress, but we also found that collective efficacy has a positive association with health, which suggests a buffering effect. These results shed light on the process of social support among refugees of war and suggest the role of shared identity, which can have a limited buffering effect on the health of the refugees, though not enough to fully mitigate the negative effect of secondary stressors. However, we suggest that such a process can be utilised as base for interventions that approach refugees of war as a group (i.e., at community rather than individual level).<br>
DOI: 10.6084/m9.figshare.28031471.v1
title: Unveiling the Spatiotemporal Dynamics of Global Brain Circulation: A Comprehensive Corpus (2000-2024)

description: The global competition for human capital is fuelled by intricate brain circulation dynamics, where individuals with specialized skills traverse geographic, organizational, and national boundaries to address workforce demands. However, a comprehensive framework for integrating and interpreting heterogeneous data on global brain circulation remains elusive. Here we introduce the Global Brain Circulation Dynamics (GBCD) corpus, a longitudinally integrated repository of geo-information encompassing 223 countries/regions from 2000 to 2024. Garnered from diachronic narrative texts, the GBCD corpus provides granular insights into transnational brain circulation patterns and their interconnections with sociocultural progress. Continuously updated to reflect spatiotemporal dynamics, the GBCD corpus serves as a definitive reference for real-time and <i>ex-post</i> analysis of global brain circulation. Our analysis reveals two pivotal findings: (i) narrative brain circulation closely mirrors physical brain mobility, and (ii) geopolitical relations and spatiotemporal dynamics exhibit distinct patterns across countries/regions. The GBCD corpus establishes a novel benchmark for examining spatiotemporal brain circulation worldwide, empowering policymakers to develop evidence-based strategies for attracting and retaining human capital in rapidly evolving global landscape.
DOI: 10.17632/j9p6wfcnhk
title: BreastCancer2025_COC_JT

description: Data extracted from the hospital-based cancer registry of Cameroon Oncology Center from January 1, 2020 to March 30, 2025. The dataset is specific for breast cancer. The main findings from this dataset are summarized in two abstracts:
ABSTRACT 1
Background
Breast cancer (BC) is the most frequent cancer in sub-Saharan Africa and the leading cause of all cancer-related deaths. Late presentation at advanced stage of disease is characteristic of low- and middle-income countries (LMICs). The presence and specific sites of metastatic disease affects treatment planning, response and prognosis. Given the genetic heterogeneity of metastatic breast cancer (mBC), this study aspired to determine the prevalence, determinants and tropism in a Central African setting.
Methods
Data was extracted from a prospectively collected hospital-based cancer registry at a specialized university-affiliated oncology center. Multivariable logistic regression modeling was used to determine the predictors of tumor spread whilst the pattern of spread was illustrated using a Sankey diagram. All statistical tests were two-tailed and the threshold for significance was set at 0.05.
Results
Data was extracted from the medical records of 271 patients with breast cancer. The sex-ratio was 1:270 and median age (range) 47 (16-91) years. A total of 148/271 (54.6%) BC occurred at the left breast (p&lt;0.01). Invasive ductal carcinoma (IDC) accounted for 76.4% (204/267) of all histologic subtypes whilst triple negative breast cancer (TNBC) was the predominant molecular subtype (55.9%, 146/261). Tumor staging at baseline was as follows: stage I, 2.7% (17/271); stage II, 36.2% (98/271); stage III, 43.5% (118/271); stage IV, 14% (38/271). During follow-up there was imaging evidence of metastasis in 40.2% (109/271) of patients. mBC was independently associated to histologic (p=0.03) and molecular subtypes (p&lt;0.01), with IDC and TNBC representing 83.9% (89/106) and 72.4 % (76/105) of all cases of metastases respectively. In the multivariable modeling patient’s age &lt;42 years (aOR = 2.1, 95%CI: 1.1-4.1, p= 0.03) and TNBC (aOR = 2.4, 95%CI: 1.3- 4.5, p&lt;0.01) were associated to mBC. Right breast cancers were more likely to spread to the lungs and liver (p&lt;0.01).
Conclusion
TNBC is predominant in the study population and with young age are associated with mBC and thus poor outcomes. Strategies that improve the uptake of screening and facilitate access to quality care are likely to reduce BC disease burden in LMICs.
Keywords: breast cancer, metastasis, tropism
DOI: 10.6084/m9.figshare.14540391.v1
title: NCD focused implimentation research needs assessment_NCD BRITE.xlsx

description: This data set is part of a national needs assessment that aimed to identify human, infrastructural, and systems required to support the response to NCD epidemic in Malawi. The needs assessment was a mixed methods study. The data in this data set was collected using a facility assessment checklist. Heads of facilities and departmental heads provided information on the available resources at each facility. Permission to conduct the study was obtained from the College of Medicine Research Ethics Committee (COMREC). <br>
DOI: 10.17632/5mhxtv8pn2
title: PAP900

description: The PAP900 dataset centers on the semantic relationship between affective words in Portuguese. It contains 900 word pairs, each annotated by at least 30 human raters for both semantic similarity and semantic relatedness. In addition to the semantic ratings, the dataset includes the word categorization used to build the word pairs and detailed sociodemographic information about annotators, enabling the analysis of the influence of personal factors on the perception of semantic relationships. Furthermore, this article describes in detail the dataset construction process, from word selection to agreement metrics.
Data was collected from Portuguese university psychology students, who completed two rounds of questionnaires. In the first round annotators were asked to rate word pairs on either semantic similarity or relatedness. The second round switched the relation type for most annotators, with a small percentage being asked to repeat the same relation. The instructions given emphasized the differences between semantic relatedness and semantic similarity, and provided examples of expected ratings of both. 
There are few semantic relation datasets in Portuguese, and none focusing on affective words. PAP900 is distributed in distinct formats to be easy to use for both researchers just looking for the final averaged values and for researchers looking to take advantage of the individual ratings, the word categorization and the annotator data.
DOI: 10.17632/js5yndr7pp
title: Numerical evaluation of the formal solution of radiative transfer problems in spherical geometries

description: Title of program: TRANSPHERE Catalogue Id: AAAB_v1_0 Nature of problem Given the opacity and source function on a discrete grid of radius and frequency points, this program evaluates the formal solution of the radiative transfer equation in a spherically symmetric atmosphere surrounding a central core, which may be hollow or may absorb and emit radiation in any manner specified by the user. In addition to the radiation intensity, the first three moments of the intensity (J, H and K) and the Eddington factors K/J and H/J are evaluated at radii and frequency of inter ... Versions of this program held in the CPC repository in Mendeley Data AAAB_v1_0; TRANSPHERE; 10.1016/0010-4655(73)90021-0 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/kkygc7n7ms
title: Supplementary Material - Efficacy and safety of oral JAK1 inhibitor upadacitinib monotherapy for papulopustular rosacea: A real-world study

description: Supplementary Material for paper "Efficacy and safety of oral JAK1 inhibitor upadacitinib monotherapy for papulopustular rosacea: A real-world study"
DOI: 10.17632/p6zc5g9bdy
title: Real-Time Recognition and Translation of Kinyarwanda Sign Language into Kinyarwanda Text (2023) Mediapipe NumPy array Hands and Pose extracted key points for 22 Sign Language

description: This research addresses the issue of real-time translation of sign language into text (focusing on Kinyarwanda Sign Language) concentrating on twenty-two common gestures in Kinyarwanda sign language. Through extensive exploration and evaluation of various machine learning algorithms, the study identifies the most effective approach for recognizing and translating these gestures. To validate the effectiveness of the developed system, real-world Kinyarwanda sign language video data is utilized for thorough training and testing. 
The data set contains Hands and Pose Mediapipe extracted key points for the 22 sign language and one additional sign ("---" sign stands for not signing) saved in the NumPy array. It can be used to train the LSTM model for the classification of the 22 signs.
DOI: 10.6084/m9.figshare.9204773.v5
title: Extended data on the study titled 'management and cost of snakebite injuries at a teaching and referral hospital in Western Kenya'

description: This data contains information on the ethical approval document issued for the study on management and cost of snakebite at a teaching and referral hospital in Western Kenya, the hospitals that referred snakebite victims, and the financial waiver issued to snakebite victims. <br>
DOI: 10.6084/m9.figshare.12115884.v1
title: Genotype MAP

description: MAP file for miRNA SNPs genotyped data
DOI: 10.17632/cwd4hrpm9c
title: Data for: Digestate treatment with algae-bacteria consortia: a field pilot-scale experimentation in a sub-optimal climate area

description: Raw data of chemical and microbiological data from raceway and bubble column monitoring campaign
DOI: 10.17632/9sg53d7j6d
title: Code: Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography

description: This code was used for dimensional metrology of additively manufactured nozzle parts scanned using X-ray computed tomography for "Large batch metrology on internal features of additively manufactured parts using X-ray computed tomography," by Davis J. McGregor, Miles V. Bimrose, Sameh Tawfick, and William P. King.
DOI: 10.17632/jz42th6t4t
title: Techno stress and Coping strategies

description: Techno Stress and Coping Strategies
DOI: 10.17632/nrb5sv5wpj
title: VR & Slings Manuscript Data

description: This data has been collected by Dr. Mondal and colleagues for the paper entitled, "Recent Demographic Trends and Clinical Insights in Pediatric Vascular Rings and Slings: A Retrospective Case Series Analysis". This study protocol was approved by the Hamilton Institutional Research Ethics Board (HiREB). Patient consent was waived due to the study's retrospective nature.
DOI: 10.17632/xvs9sx9t44
title: Empirical GPS velocity uncertainty in California

description: Published velocity values compiled in to a composite velocity data set that contains the station name, longitude, latitude, and north/east/up velocity with empirical uncertainty. The interpolated vertical velocity field with uncertainty includes the longitude, latitude, velocity, and error for the grid.
DOI: 10.6084/m9.figshare.13353236.v1
title: Multi-sample VCF of Klebsiella pneumoniae species-wide dataset

description: Multi-sample VCF file of the Klebsiella pneumoniae species-wide dataset used by PowerBacGWAS pipeline. The rest of files are in: https://github.com/francesccoll/powerbacgwas/tree/main/data<br>
DOI: 10.17632/2mzwg6p6bv
title: AVALIAÇÃO ANALÍTICA DA INFLUÊNCIA DA SEQUÊNCIA DE EMPILHAMENTO NA RESPOSTA MECÂNICA DE UM COPV NO ARMAZENAMENTO DE GNV

description: Trabalho apresentado ao III Simpósio Gaúcho de Engenharia Aeroespacial e Mecânica, Santa Maria, RS, Brasil.
DOI: 10.17632/34ssk4fxyj
title: Disease burden of cataract-related blindness and vision impairment

description: The "China.csv" file provides data on the disease burden of cataract-related blindness and vision impairment in China. The "Neighboring countries.csv" file presents data on the disease burden in countries neighboring China. The "Super regions.csv" file includes data on cataract-related blindness and vision impairment across seven global super regions.
DOI: 10.17632/btzfbjh49b
title: Input data for optimization

description: Excel file including all data related to wind, power curve, costs, algorithm operation, coast, forbidden zones, observers...
DOI: 10.17632/hwj7dj3xbb
title: Dataset on Predictors of Consumers' Augmented Reality Technology Adoption in the Vietnamese Fashion Sector

description: The data was collected through a survey questionnaire administered to 423 Vietnamese participants recruited randomly based on their relevance to identify factors influencing consumer adoption of augmented reality technology for online fashion shopping in Vietnam. The questionnaire contained 33 measurement items for 9 variables related to intentions and attitudes towards augmented reality technology usage.
Responses were screened for completeness and validity. The resulting dataset was analyzed using Partial Least Squares Structural Equation Modeling techniques in SPSS and SmartPLS software packages.
Demographic profiles of the sample were explored pertaining to gender, age, and location. The statistical analysis enabled assessment of scale validity and reliability regarding Vietnamese fashion consumers' augmented reality adoption.