cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rf9byw2fgv
title: Prevalence of Plantar fasciitis in opd vs icu nurses

description:      ABSTRACT
Background :This study is about to Prevalence of planter fasciitis in OPD vs ICU nurses.Nurses at hospitals have long-standing plantar fasciitis discomfort.Nurses at hospitals have long-standing plantar fasciitis pain.  . This is a condition of heel due to prolong standing on duty hours .   
Methodology:.The research design was survey study .Total 107 partcipants included only hospital nurses in present study .The demographic characteristics [Name , Age ,Gender ,Height ,Weight ]
Result: Out of 107 participants ,54 OPD nurses and 53 ICU nurses was participate in the study in which 63.26 %OPD nurses as well as 60.71% ICU nurses has symptoms of planter fasciitis .
Conclusion: According to the result obtained from the present study it states that the prevalence of planter fasciitis is more in OPD nurses [63.26%]as compare to ICU nurses [60.71%].As a result ,nurses was educated on planter fasciitis precaution and prevention . 
Key words: Planter fasciitis4r ,ICU ,OPD ,Pain
DOI: 10.6084/m9.figshare.1577530.v1
title: Internationalization of scientific publishing over time: Analyzing publishers and fields differences

description: The changes in journal internationality in mainstream science using 1,398 journals and 2,557,229 papers during 1991-2014 were examined.
DOI: 10.6084/m9.figshare.16689310.v1
title: BD_Acadie_completa.csv

description: Dataset with soil physics
DOI: 10.6084/m9.figshare.28790849.v1
title: Appendix S1-15

description: Hyldahl E, Schliephake H, Jensen SS. Dental Implant Therapy in Patients With Autoimmune Diseases: A Scoping Review. Clin Oral Implants Res. 2025 Apr 3. doi: 10.1111/clr.14440. Epub ahead of print. PMID: 40181226.https://onlinelibrary.wiley.com/doi/full/10.1111/clr.14440
DOI: 10.6084/m9.figshare.29067596.v1
title: Scopus Design Thinking & Creative Thinking.csv

description: Design thinking and creative thinking skills have a significant impact on fostering innovation across various fields, especially education and technology development. However, the mapping of research related to these two concepts still requires a comprehensive understanding to identify global collaboration trends and patterns. This study aims to examine the thematic trends, evolution of concepts, and collaborative connections between countries through a bibliometric method. To map keyword, author, and international collaboration networks, keywords were analyzed using Scopus database and VOS viewer software. Design thinking relates more to innovation, design education, and sustainability, whereas creative thinking relates more to problem solving, active learning, and critical thinking according to the analysis. Trends include the United States, China and Indonesia as being dominant in terms of international scientific collaboration, and a prospective strengthening of ties between European and East Asian countries. The visualization of knowledge networks and the mapping of international collaborations is the second key contribution of this research and providing opportunities for fure research. It is anticipated that this finding will be a reference for researchers and practitioners in conducting more integrated and useful research in the future.
DOI: 10.17605/osf.io/ub5ms
title: Data

description: This component contains the data from the project
DOI: 10.17632/23ktn6yynb
title: A 300 MW circulating fluidized bed boiler (CFBB) dataset from a power plant

description: The dataset was collected from the supervisory information system (SIS) of a 300 MW circulating fluidized bed boiler (CFBB) in a power plant. The dataset has 5760 observations with 26 Attributes and 3 prediction labels.
DOI: 10.17632/dwfgxrh7tn
title: County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access

description: This repository includes data from the Health Resources & Services Administration's Area Health Resources Files (years 2000-2001, 2004-2022), CDC Wonder, National Conference of State Legislatures, and the Drug Enforcement Agency's Automation of Reports and Consolidated Orders System (ARCOS). 

AHRF data are updated annually, and are also provided in R (*.RDS) and Stata-friendly (*.dta) formats.

Please cite the following publication when using this dataset:

KN Griffith, Y Feyman, SG Auty, EL Crable, TW Levengood. (2021). County-level data on U.S. opioid distributions, demographics, healthcare supply, and healthcare access. Data in Brief 35: e106779. https://doi.org/10.1016/j.dib.2021.106779 

These data were originally collected for the following research article:

Griffith, KN, Feyman, Y, Crable, EL, & Levengood, TW. (2021). “Implications of county-level variation in U.S. opioid distribution.” Drug and Alcohol Dependence 219: e108501. https://doi.org/10.1016/j.drugalcdep.2020.108501

Special thanks to everyone who sent us historical AHRFs (Randy Ellis, Kimberley Geissler, Wenjia Zhu, and others) and to Monica Aswani for bringing a data error to our attention.
DOI: 10.17632/v5296z7nyp
title: COVID-19 with H1N1 dataset

description: COVID-19 and swine-origin influenza A (H1N1) are both pandemics that sparked significant concern worldwide. Since these two diseases have common symptoms, a fast COVID-19 versus H1N1 screening helps better manage patients at healthcare facilities. We present a novel deep model, called Optimized Parallel Inception, for fast screening of COVID-19 and H1N1 patients. We also present a Semi-supervised Generative Adversarial Network (SGAN) to address the problem related to the smaller size of the COVID-19 and H1N1 research data. To evaluate the proposed models, we have merged two separate COVID-19 and H1N1 data from different sources to build a new dataset. The created dataset includes 4,383 positive COVID-19 cases, 989 positive H1N1 cases, and 1,059 negative cases. We applied SGAN on this dataset to remove issues related to unequal class densities. The experimental results show that the proposed model's screening accuracy is 99.2\% and 99.6\% for COVID-19 and H1N1, respectively. According to our analysis, the most significant symptoms and underlying chronic diseases for COVID-19 versus H1N1 screening are dry cough, breathing problems, diabetes, and gastrointestinal.
DOI: 10.6084/m9.figshare.17113589.v1
title: 2021 - Global timetrend_mass_count_average_total.csv

description: This dataset of floating plastics in the global ocean extends 40 years from 1979 to 2019.
DOI: 10.6084/m9.figshare.26094025.v1
title: HSSCOMMS-23523 Differentiated secularism discourse shaping of immigrants from different religious backgrounds in the French media dataset.zip

description: This paper primarily employs qualitative research methods, analyzing articles from French media regarding Muslim and Ukrainian immigrants. This study utilized the Europresse media database, setting the filter category to domestic French media. By examining these texts, the study identifies relevant sentences and key terms that reveal the discursive characteristics of the French media itself, as well as the discursive images of Muslim and Ukrainian immigrants. These findings are then subjected to further interpretive analysis.
DOI: 10.6084/m9.figshare.28612238.v1
title: GEE metadata

description: GEE stata code
DOI: 10.6084/m9.figshare.14823138.v2
title: Data File 1

description: Data File 1 for Organelle-specific phase contrast microscopy enables gentle monitoring and analysis of mitochondrial network dynamicshttps://doi.org/10.1364/BOE.425848<br>
DOI: 10.6084/m9.figshare.8153474.v2
title: Samples, methods and clinical information

description: Samples, methods and clinical information for 197 canine mammary gland tumors
DOI: 10.17632/8pnt6nrd22
title: Replication Package for Price Ceilings, Market Structure, and Payout Policies

description: Replication package (Pseudo Data and Code) for “Price ceilings, market structure, and payout policies”
DOI: 10.6084/m9.figshare.12498056.v1
title: JVASP-8888 to JVASP-9674

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.13557923.v1
title: Data.xls

description: We analyzed the effect of elevated CO<sub>2</sub> on the host-selection behavior of western flower thrips (<i>Frankliniella occidentalis</i>) and studied how they were affected by the release of VOCs from kidney bean plants (<i>Phaseolus vulgaris</i>).<i> </i>
DOI: 10.6084/m9.figshare.14562312.v1
title: Raman Ovarian Cancer

description: The attached file consists of 3 folders, each one containing the Raman spectra (saved as .wdf and .txt files) for the 3 biofluids: plasma, serum and urine. Each of these folders contains 4 sub-folders including raw spectra for non- endometriosis benign patients (named as BENIGNS), endometriosis patients (named as ENDOMETRIOSIS), non-chemotherapy ovarian cancer patients (named as OC-NO CHEMO) and ovarian cancer patients who had received neo-adjuvant chemotherapy (named as OC-WITH CHEMO).
DOI: 10.6084/m9.figshare.21365835.v2
title: An Internal Wave Dataset from Sentienl-1 Imagery(IWs Dataset v1.0)

description: This dataset contains 390 Synthetic Aperture Radar Imagery of Internal Waves acquired in Andaman Sea, Sulu Sea, Celebes Sea and South China Sea and the corresponding labels. These images are Sentienl-1 GRD downsampled images. Time from April 15, 2014 to December 15, 2021. labels indicate the IWs region in SAR imagery in YOLO format.
DOI: 10.17632/c3zh4k89nx
title: A new approach for estimating trade elasticities and measuring the productivity effects associated with trade (dataset and codes)

description: This dataset accompanies the paper "A New Approach for Estimating Trade Elasticities and Measuring the Productivity Effects Associated with Trade". It contains the data and Stata code used to replicate the analysis presented in the paper. These files include:
.dta files: Stata datasets used in the analysis.
.do files: Stata scripts containing the code to perform the estimations and obtain the tables and figures.
Readme file: Instructions and guidance for reproducing the results.

This paper provides a new method for estimating trade elasticities based on a production model where trade elasticities and technological parameters are estimated simultaneously. Using data from the World Input-Output Database, we obtain trade elasticities that align with those reported in the literature. Following the theoretical framework by Caliendo et al. (2018), we derive the benefits of international trade on total factor productivity (TFP). Our proposed production model is later used to understand the main determinants of the countries’ and sectors’ participation in international trade, as well as measuring the different factors affecting productivity changes due to the Covid-19 pandemic.
DOI: 10.6084/m9.figshare.21776366.v1
title: POCI N-Triples dataset of all the citation data

description: This dataset contains all the citation data (in N-Triples format) included in POCI, released on 27 December 2022. In particular, any citation in the dataset, defined as an individual of the class <em>cito:Citation</em>, includes the following information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]); <strong>[property "cito:hasCitingEntity"]</strong> the citing entity identified by its PMID URL (https://pubmed.ncbi.nlm.nih.gov/[PMID]); <strong>[property "cito:hasCitedEntity"]</strong> the cited entity identified by its PMID URL (https://pubmed.ncbi.nlm.nih.gov/[PMID]); <strong>[property "cito:hasCitationCreationDate"]</strong> the creation date of the citation (i.e. the publication date of the citing entity); <strong>[property "cito:hasCitationTimeSpan"]</strong> the time span of the citation (i.e. the interval between the publication date of the cited entity and the publication date of the citing entity); <strong>[type "cito:JournalSelfCitation"]</strong> it records whether the citation is a journal self-citations (i.e. the citing and the cited entities are published in the same journal); <strong>[type "cito:AuthorSelfCitation"]</strong> it records whether the citation is an author self-citation (i.e. the citing and the cited entities have at least one author in common). This version of the dataset contains: 717,654,703 citations; 26,024,862 bibliographic resources. The size of the zipped archive is 25 GB, while the size of the unzipped N-Triples file is 610 GB. Additional information about POCI can be retrieved in the official webpage.
DOI: 10.6084/m9.figshare.24329518.v1
title: Climate and Tuberculosis data.xlsx

description: The association between climate variables and tuberculosis in Kolaka District, Southeast Sulawesi Province, Indonesia, 2013–2020: a Bayesian autoregressive model
DOI: 10.17632/4jvmb3w8zy
title: Watershed conservation prioritization using morphometric parameters applied with principal component analysis approach | JBES 2021

description: The present study analyzed and quantified the different morphometric aspects of the Upper Pulangi Watershed in Bukidnon, the Philippines using a 10-m spatial resolution digital elevation model. The study was carried out using geospatial techniques to quantify morphometric parameters relative to the tendency of the watershed to erosion threat to provide a basis and guidelines in prioritizing watersheds that need an immediate rehabilitation and conservation. The morphometric analysis applied with Principal Component Analysis was used in prioritizing watersheds. Principal Component Analysis is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. It also decreases the dimensionality of the data set and identifies a new meaningful underlying variable. Results showed that the Nabalintungan sub-watershed with a compound ranking value (Cp = 4.17) was classified under very high priority followed by the Maapag sub-watershed with (Cp = 4.25) thus, implying more attention for conservation measures. The upper puling sub-watershed with (Cp = 6.75) was classified under very low priority followed by the Sawaga sub-watershed with (Cp = 6.00), signifying promising environmental conditions among the nine sub-watershed areas. The study provides significant information that is helpful to watershed managers and planners in coming up with an informed decisions and actions in relation to planning for watershed management, for soil and water conservation programs, and project implementation under limited resources.
DOI: 10.17632/gs8sh8h4ds
title: CAE model of Total Knee Replacement with Femur and Tibia bones at hyperflexion

description: The data presented here is a Computer Aided Engineering (CAE) model of Total Knee Replacement (TKR) components with Femur and Tibia bones at hyperflexion (120 degrees of knee). This is the CAE model of the same CAD as published in [1]. The CAE model (ASSEMBLY.hm) presented here can be opened in Hypermesh, a CAE software for defining material properties, section definitions, boundary conditions, loads etc. Then the complete model can be imported in a supported format to a CAE software like Abaqus, Ansys etc. to execute a finite element analysis which might be very crucial for throwing light into knee kinematics and mechanics at hyperflexion of the knee.
DOI: 10.6084/m9.figshare.12368930.v2
title: Biochar

description: We collected 1080 crop yields under biochar addition experiments from 143 published literature, including 648 crop yields under B and 430 crop yields under BF treatments.
DOI: 10.6084/m9.figshare.21975272.v3
title: Fertilization control over SOC stocks

description: We synthesized a country-scale database to explore the fertilization control over crop yield and SOC stocks and identified the dominant drivers and pathways in upland and paddy systems.
DOI: 10.6084/m9.figshare.28204706.v1
title: Dataset postpartum hemorrhage

description: Dataset from a cohort study and a case-control study of severe postpartum hemorrhage. The data is here presented in spss, but analyzed in STATA. The data collection was approved by the Regional Ethics Comittee in the South-East Health Region of Norway
DOI: 10.6084/m9.figshare.28588679.v1
title: DATA: Response diversity increases functional but decreases compositional stability of grassland communities

description: Response diversity is assumed to underly ecosystem stability, but experimental evidence is lacking. We introduce a novel way to quantify response diversity based on performance-environment relationships. Using this approach, we show that response diversity increases the functional stability, but decreases the compositional stability and diversity of grassland ecosystems. We conclude that response diversity is an important component of biodiversity and discuss future research directions to refine and generalize the concept of response diversity and its role in ecosystem stability.
DOI: 10.17632/v73rp8t96s
title: Dataset Content Creation as a Catalyst for MSME Growth; Leveraging High-Quality Content to Achieve Sustainable Business

description: This dataset is the result of an in-depth interview analysis with 20 owners or managers of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia regarding the role of content creation in their business growth. This study aims to understand how MSMEs utilize content creation as a strategy to achieve sustainable business growth.
The dataset consists of six main sections:

Key Informant Profile: Provides an overview of the distribution of informants based on industry sector and business size.
Interview Guide: Presents key questions used in the interview, linked to the problem formulation and target information to be obtained.
Understanding Content Creation: Analyzes the level of understanding, perception, and implementation of content creation strategies among MSMEs.
Factors Influencing Content Creation Effectiveness: Explores perceptions of benefits, challenges, and resource readiness in content creation.
Impact of Content Creation on Business Growth: Assesses the influence of content creation on business growth and methods for measuring content effectiveness.
Effective Content Creation Strategy: Identifying the types of content considered most effective, the process of planning and executing content strategies, and future development plans.

Each section is presented in a table format that includes interview questions, open coding results, axial coding, and selective coding. This dataset provides in-depth insights into how MSMEs in Indonesia understand, implement, and plan content creation strategies to drive their business growth. This dataset can be used by researchers, business practitioners, and policy makers to further understand the role of content creation in the context of MSMEs in Indonesia, as well as to develop strategies and policies that support MSME growth through effective content utilization.
DOI: 10.6084/m9.figshare.29125811.v1
title: Questioner.csv

description: This is raw data of questioner result
DOI: 10.6084/m9.figshare.1015289.v1
title: Plastic Marine Pollution Global Dataset

description: This is a global dataset of 1571 locations where surface manta tows were conducted. Samples were divided into 4 size categories. Weights and particle counts were recoreded for each category.
DOI: 10.6084/m9.figshare.3530534.v1
title: Appendix C. Results of survival models for different shade-tolerance guilds.

description: Results of survival models for different shade-tolerance guilds.
DOI: 10.17632/fbxfhd34yj
title: Prediction of Obesity in University Students: Machine Learning and Deep Learning Approach Based on Nutrition and Sleep Habits

description: DII - ML and DL.sav is the file containing the data of the "Prediction of Obesity in University Students: Machine Learning and Deep Learning Approach Based on Nutrition and Sleep Habits" study.
DOI: 10.6084/m9.figshare.12363953.v1
title: Paleoclimate ocean conditions shaped the evolution of corals and their skeletons through deep time

description: Results and code from paper by Quattrini et al.
DOI: 10.17632/ptkz4bsmky
title: alkanesR: Calculations of n-alkanes and their related proxies

description: "alkanesR" is a R package for calculating n-alkanes and their related proxies. This dataset includes the source file of the package and a brief user guide. Please see our associated article for detailed informations. The software includes 4 functions including CPI, subtaction, bio_proxies, anthro_proxies, and 1 demo data (alkanes_demo_data). Please see help document for details. You can download the software to your computer. The package need to be installed mannually. In RStudio, You need to select "Tools"-&gt;"Install Packages..."-&gt;"Install from"-&gt;"Package Archive File". File lists: 1. alkanesR_0.1.0.tar.gz (Source Package, for Windows, Mac) 2. alkanesR_0.1.0.zip (Binary Package, for Windows) 3. Brief User Guide for alkanesR.Rmd (Open in RStudio) 4. Brief-User-Guide-for-alkanesR.pdf
DOI: 10.17632/w65243ywj6
title: Divergent opioid-mediated suppression of inhibition between hippocampus and neocortex across species and development

description: Raw data for manuscript figures: Caccavano et al. "Divergent opioid-mediated suppression of inhibition between hippocampus and neocortex across species and development" 2025. Data organized into individual zip files corresponding to each figure.
DOI: 10.17632/x6wyhmpj2v
title: Energy Efficiency Financing Dataset

description: Short description of the three Excel Files:

1. KPFI_Data on projects: 445 projects implemented under 11 tenders of the funded KPFI programme of the Republic of Latvia. Provides information: code number and name of tenders, project code number, CO2 reduction (in tons) as planned by each project, start/end date and project duration (in months), total costs and grant financing of each project.
2. KPFI_Data on activities: The following variables are listed: (a) The tenders’ code number, (b) the projects’ code number, (c) the building on which each project was implemented, (d) the detailed description of each implemented activity, (e) the CO2 reduction (in tons) per activity/building, (f) the energy reduction (in MWh) per activity/building and (g) the respective CO2 emission factor.
3. KPFI_Detailed implementation data: The following variables are listed: (a) General data information, including the reporting year, the tender’s code number, the project’s code number, and the planned CO2 reduction per year, (b) overall building data before project implementation, with reference to three sources of energy consumption, i.e., heating, hot water and electricity, (c) detailed data on the project implementation, i.e., for each source of energy consumption (heating, hot water and electricity) the dataset provides information on the total energy consumption (in MWh) and the CO2 emission (in tons) before the project and at the reporting year of implementation and (d) the reported monthly data for the temperature, the heating days and the energy consumption (MWh) of each source.
DOI: 10.5281/zenodo.15519877
title: mono-drag

description: This dataset contains all Computational Fluid Dynamics (CFD) files for the Messabih Mono-Drag Vertical Axis Wind Turbine (VAWT), including:- ANSYS mesh files (.msh) and solver setups (.cas/.dat) for each azimuth angle (0° to 180°, 10° increments)- Processed results (torque, drag coefficients) in CSV format- Raw pressure/velocity fields for post-processing

Simulations used the Spalart-Allmaras turbulence model in a 5m × 2m × 4m wind tunnel at 15 m/s wind speed. Files are organized by angle (e.g., `/angle_30/` contains mesh, solver, and results for 30°).

Format: ANSYS Fluent (.msh, .cas, .dat), CSV, and ZIP archives.License: CC-BY 4.0.