cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22193401.v1
title: Supplementary Material for: Psychometric properties of food frequency questionnaires used in dentistry: a systematic review

description: The objective of this systematic review was to analyze the quality of the food frequency instruments/scales used in dentistry while considering their psychometric properties. The databases consulted were PubMed (07/08/2020), Scopus (08/27/2020), Web of Science (08/27/2020), Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Dentistry and Oral Sciences Source (via EBSCO) (28/ 08/2020 ), LILACS and BBO (25/08/2020), Gray Literature: Proquest (01/10/2020), Capes Theses Bank (01/10/2020), Brazilian Digital Library of Theses and Dissertations (01/01 10/2020), Google Scholar (02/10/2020), and proceedings of the International Association for Dental Research (IADR) (10/10/2020). All data bases were updated on 12.12.2022. Articles were initially selected by reading the 6421 titles and 13 abstracts selected, followed by reading the 8 articles included for full text reading to confirm the eligibility criteria, with the aid of Rayyan software. databases the construction and/or validation of instruments/scales for assessing food consumption for use in dentistry (in clinical contexts and/or epidemiological studies), with or without assessment of their psychometric properties, were included. Review studies, letters to editors, and research protocols were excluded. Risk of bias assessment was performed according to the COnsensus-based Standards for the selection of health Measurement Instruments (COSMIN) checklist. The extracted data were: author, country, instrument language, sample, assessment instrument, instrument structure, type of food, instruments compared with the clinical condition, adaptation of an existing instrument, and psychometric properties evaluated. The selection, risk of bias analysis, and data extraction processes were performed by two independent evaluators. Seven studies were identified. The instruments available in the literature were in English, Japanese, Creole and Malay. Only one study performed translation and cross-cultural validation of an instrument, whereas the others were construction studies. One study did not assess psychometric properties. Regarding the quality assessment and general classification of the studies by the COSMIN checklist, all were considered “inadequate,” with reliability (test-retest) being the most validated psychometric property; only one study carried out the validation of all psychometric properties measured in COSMIN. Regarding the quality of the instruments presented, all the studies were classified as “inadequate” in the general assessment. Advances are needed in the validation process.
DOI: 10.6084/m9.figshare.c.3645431_d9.v1
title: Additional file 1: Table S1. of Bipartite structure of the inactive mouse X chromosome

description: Summary of allele-specific contacts. (XLSX 10 kb)
DOI: 10.17632/rfdz6wfzn4
title: RBCdataset 

description: The RBCdataset is a single erythrocyte dataset collected from thalassemia's peripheral blood smear. This dataset will be a source of data for computer application researchers related to RBC classification in thalassemia cases.
DOI: 10.6084/m9.figshare.28216991.v1
title: Agrometeorological Hazard Warning Dataset

description: The meteorological disaster warning signal, which is triggered and graded using a predefined threshold, provides information close to the time of disaster occurrence. The associated Agrometeorological Hazard Warning Dataset is compiled by extracting key information, i.e., the date and time, affected county, disaster type, warning level, and the timeliness and details of the information from the text description of the publically issued warning signal associated with agriculture. It is quality controlled and structured. The dataset covers the black soil area of northeast China from 2021–2023.<br>
DOI: 10.6084/m9.figshare.17139683.v1
title: Athlete Sub518

description: EEG and ET mat format data of one Modern Pentathlon Athlete Sub518 in ABT and CCT experiments.
DOI: 10.17632/jycyj6dxyy
title: Bond Enthalpies in 975 Binary Intermetallic Compounds

description: This dataset reports the bond strengths between atoms in condensed intermetallic compounds. The concept of a bond energy between a pair of atoms is well-established in chemistry and physics. In materials science, it’s a fundamental parameter in thermodynamic models such as the regular, quasi-chemical and sub-regular solution models and the central atoms model. Accurate bond dissociation enthalpies are available for gaseous molecular compounds, but these values are likely to differ significantly from single bond strengths between atoms in liquids and solids. Interatomic potential functions have been developed for a range of atomic pairs by fitting to observed quantities. However, these functions often contain invariant transformations that can give bond energies that differ significantly (by up to a factor of four in some systems) from values provided by other potentials for the same system, even though both may produce the same physical properties. The present dataset gives the bond strengths between like atom pairs for nearly all elements, and for bonds between both like and unlike atom pairs in 975 intermetallic, covalent and ionic compounds drawn from 458 diferent binary systems. Typical errors in the values reported here (from enthalpy measurements) are ±4%, and larger errors of about ±10-30% occur for a small subset of values where the number of bonds in the structure are difficult to establish. Used appropriately, these bond enthalpies enable classical approximations that—to first order—can capture critical properties and phenomena. Validations have already been performed in the earlier work by estimating elemental fusion enthalpies and surface energies, as well as formation enthalpies for ternary intermetallic compounds. A wide range of other estimates are possible, including the energies of vacancies and other atomic defects, solution enthalpies for complex, concentrated solid solution alloys (CCAs), formation enthalpies of higher-order compounds, and metallic glass stability. These bond enthalpies may also be useful for establishing trends in systematic studies that cover many systems, thus narrowing the scope of subsequent experimental measurements or computations which are more accurate, but are also more difficult and time consuming.
DOI: 10.17632/mrvmsrn9r6
title: MICRO-GO study: transcriptional profiling of orbital tissues in Graves’ orbitopathy & microbiome composition

description: Background: Graves’ disease (GD) and Graves’ orbitopathy (GO) result from ongoing stimulation of the TSH receptor due to autoantibodies acting as persistent agonists. Orbital pre-adipocytes and fibroblasts also express the TSH receptor, resulting in expanded retro-orbital tissue and causing exophthalmos and limited eye movement. Recent studies have shown that GD/GO patients have a disturbed gut microbiome composition, which has been associated with increased intestinal permeability. We hypothesize that enhanced intestinal permeability may aggravate orbital inflammation and, thus, increase myofibroblast differentiation and the degree of fibrosis. 
Methods: We used 2 distinct cohorts of GO patients to study intestinal permeability and its connection to inflammatory/fibrotic processes in the orbital tissues of GO patients. Intestinal permeability was assessed by measuring serum lipopolysaccharide-binding protein (LBP), zonulin, TLR5, and TLR9 ligands. The influx of macrophages and accumulation of T-cells and myofibroblast were quantified in orbital connective tissue. The NanoString digital spatial profiler RNA panel was used to determine the transcriptional profile of active fibrotic areas within orbital sections.
Results: GO patients displayed significantly higher LBP serum concentrations than healthy controls. Within the MicroGO cohort, patients with high serum LBP levels also showed higher levels of zonulin and TLR5 and TLR9 ligands in their circulation. The increased intestinal permeability was accompanied by augmented expression of genes marking immune cell infiltration and encoding key proteins for immune cell adhesion, antigen presentation, and cytokine signaling in the orbital tissue. Macrophage influx was positively linked to the extent of T cell influx and fibroblast activation within GO-affected orbital tissues. Moreover, serum LBP levels significantly correlated with the abundance of specific Gram-negative gut bacteria, linking the gut to local orbital inflammation. 
Conclusion: These results indicate that GO patients have enhanced intestinal permeability. The subsequent translocation of bacterial compounds to the systemic circulation may aggravate inflammatory processes within the orbital tissue and, as a consequence, augment the proportion of activated myofibroblasts, which actively secrete extracellular matrix leading to retro-orbital tissue expansion. 

Here, we share our data on fecal microbiota composition (assessed by 16S rRNA sequencing) and the transcriptional data obtaining with the GeoMx digital spatial profiling technology.
DOI: 10.6084/m9.figshare.12311315.v1
title: Metabolomic markers of colorectal tumor with different clinicopathological features

description: We obtained tumor tissues and adjacent mucosa tissues from 51 CRC patients and used them for metabolomics analysis.<br>The files named "LC-MS raw data (ESI-)" and "LC-MS raw data (ESI +)" are the raw data of UPLC-MS / MS.<br>The file named "sample groups" is the source and grouping information of the samples.<br>
DOI: 10.6084/m9.figshare.24305242.v1
title: Modifaction aware model

description: The modification aware model for nanopore R10.4.1 reads.
DOI: 10.17632/jfb9mbxm9j
title: Cross sectional Data for Economic effect of Covid 19 in Ethiopia

description: This is data for Research Article on Title: Economic effect of Covid-19 in Salale, Oromia Ethiopia
DOI: 10.6084/m9.figshare.14754207.v1
title: Analysis of e-LIS: an International Digital Repository for Library and Information Science

description: Open archive repositories have been assisting the researcher in getting the access to past research through archival repositories. Accesses to the open archive repositories are available freely on the Internet. The E-LIS open archive repository formulates LIS research more visible and accessible and increases its status and value. Here the researcher has tried to analyze an impact of E-LIS open archive digital repository of library and information science in the aspects of the annual growth of E-LIS publication index, primary subject coverage, types of documents indexing, country wise publication, and top downloads by country and highest downloaded articles, etc. The researcher also studied the top ten prolific authors, various file formats, internet browser and search engines used to access the E-LIS repository. This paper also discussed the author copyright policy, data preservation policy of repository. E-LIS is rapidly growing, and as on March 2018, there were over 20,000 full-text documents added from 124 countries around the world.<br>The Researchers have undertaken the case study method to analyze the impact of E-LIS open access repository. The relevant data and statistics are collected from the E-LIS official portal. The researchers systematically analyzed E-LIS repository by year-wise publications, subject coverage, country contributions, prolific authors, coverage, document type, formats, language coverage, most downloaded articles, most accessed countries, etc. Analyzed data is based on the data retrieved as of 29th March 2018 from E-LIS official website, i.e., http://eprints.rclis.org.<br>
DOI: 10.6084/m9.figshare.27080488.v1
title: Look-up table for WHO Income group at the country level

description: Used for Table 2 resultshttps://github.com/michaeldgarber/global-ndvi-pop/blob/main/scripts/figures-main-text.R
DOI: 10.6084/m9.figshare.27172758.v1
title: The simulations for NOSTRA validation

description: The data was created to validate the NOSTRA model of hospital infection detection. It contains all the data files required to replicate the validation study. It is to be used in conjunction with the data in the following github repo: https://github.com/dpascall/NOSTRA-modelThe zip file contains all the simulation files output from the agent-based hospital simulation model. There are csv two files per simulation run: one for patients, one for healthcare workers. The rows are ordered by time, with one row per agent per timepoint.The relevant columns are:Paramset - The particular parameter set that was used (1 of 20)Date - The date within the simulation at that stepID - The agent IDInfection.Status.CT - The current infection state of the individualCommunity.Infect - If the agent was infected, whether that infection was acquired outside the hospitalInfectedBy - If the agent was infected in the hospital, what is the agent ID of the person who infected themDetected - Whether the infection has been detected - Note: false positives are possible, so Detected can equal TRUE while Infection.Status.CT is NONE
DOI: 10.6084/m9.figshare.29133089.v1
title: Retention Outcomes of Advanced Practice Providers in Hospital Medicine Following Fellowship Completion

description: This dataset supports a retrospective cohort study evaluating the 1- through 5-year retention rates of Advanced Practice Providers (APPs) in hospital medicine. The study compares outcomes between providers who completed a 6-month post-graduate fellowship and those who completed general onboarding at a multi-hospital health system in Massachusetts.The data includes de-identified employment dates, training pathway designation, and year-based retention outcomes. A secondary file includes the SPSS cross-tabulation and chi-square output used to evaluate statistical differences across retention time points. These data were used to support findings reported in the manuscript submitted to <i>The Journal of Hospital Medicine</i>.<b>Files included</b>:APP_Hospital_Medicine_5_Year_RawData.xlsxAPP_Hospital_Medicine_SPSS_Output.xlsxREADME_APP_Fellowship_Retention.txt
DOI: 10.6084/m9.figshare.7210022.v1
title: SIEFORES BASIC 2 (SB2)

description: The objective of this data is to show the AFORES classification SB2 and the performance of the investment in the SIEFORES to quantify the value of the pension.
DOI: 10.17632/27c8pwsd6v
title: N-RDD2024:Road damage and defects

description: The RDD2022 dataset contains road images from six countries (India, Japan, Czech Republic, Norway, China, and USA). However, in the presented dataset, four damage types were considered. There are many road defects in road networks. The edited and updated dataset is called N-RDD2024. 10 different types of defects were considered in this dataset. The defect classes labeled are longitudinal cracks (D00), transverse cracks (D10), alligator cracks (D20), repaired cracks (D30), potholes (D40), pedestrian crossing blurs (D50), lane line blurs (D60), manhole covers (D70), patchy road sections (D80) and rutting (D90), respectively. The process of detecting and classifying all defects in road pavement will become more robust for institutions/organizations and researchers.
DOI: 10.17632/8m6v52sn89
title: Role of AI In Transforming User Experience in Libraries

description: Artificial intelligence (AI) is redefining the library system by increasing efficiency, accessibility, and user experience. The transformational potential of AI in libraries is examined in this editorial, with a special emphasis on how it may automate tedious chores like organising and cataloguing to improve operations and free up librarians' time for more thought-provoking pursuits. AI-powered systems facilitate seamless information retrieval, boost search capabilities, and analyse data more effectively. Virtual assistants and customised predictions can be generated for every user through the application of machine learning and processing of natural language, hence improving their engagement and library experience. AI also helps to ensure the longevity and accessibility of rare and historical materials by digitising and archiving them. The study's objectives are to evaluate the viability of AI applications in libraries, look at how they might affect administrative and technical processes, and pinpoint implementation difficulties. The study emphasises AI's ability to streamline workflows, customise services, protect collections, and guarantee ethical concerns through content analysis of pertinent literature. Successful AI solutions, including chatbots driven by AI, automated book retrieval, and predictive analytics for collection development, are demonstrated by case studies from Uttaranchal University. Future prospects for AI in libraries promise improved user experiences and operational efficiency, making libraries dynamic hubs of knowledge and education despite obstacles like technical competence and budgetary limits.
DOI: 10.6084/m9.figshare.19698352.v2
title: Data and R scripts used in Pouta et al. 2022. Partitioning of space among trees in an old-growth spruce forest in subarctic Fennoscandia. Front. For. Glob. Change 5:817248.

description: Data from a large (8.8 ha) fully mapped plot in a Norway spruce dominated old-growth forest, and R scripts used in the analyses of the data.
DOI: 10.6084/m9.figshare.28400333.v1
title: Calculation of provincial panel carbon emissions data in China from 2000 to 2021

description: China is an important contributor to global carbon emissions. With the United Nations Sustainable Development Goals and China's carbon neutrality strategy, accurate estimation of carbon emissions is crucial for carbon reduction and peaking. However, previous estimates of China's carbon emissions mainly focused on short-term data, which is insufficient to describe the evolution trend and carbon reduction effect. Therefore, we chose the basic energy consumption data from 2000 to 2021 as historical data, and then generated a carbon emission dataset using the internationally recognized carbon emission factor method. This dataset can be used to depict the spatiotemporal variations of carbon emissions in China. This study can provide Chinese strategies and wisdom for carbon reduction.
DOI: 10.6084/m9.figshare.28512464.v3
title: Carbon Mitigation Potential in Building Design: A Region-Specific LCA Approach for Nature-Based Construction

description: We conduct a transparent LCA comparing mid-rise housing typologies in Germany, Indonesia, and Bhutan, systematically assessing conventional and nature-based construction to reflect current practices and future material choices. The supplementary data for <i>Carbon Mitigation Potential in Building Design: A Region-Specific LCA Approach for Nature-Based Construction</i> includes a short explanation of the included LCA modules, detailed material layers for all typologies assessed, building-component-results per LCA module and whole-building results in different units for comparability.
DOI: 10.6084/m9.figshare.29093411.v1
title: source code for sose 2025 submission

description: these the source code for the research in sose 2025
DOI: 10.6084/m9.figshare.29178404.v2
title: <b>Improvement of endurance and compatibility </b><b>of</b><b> of organic ferroelectric polymer through inserting Al</b><sub><strong>2</strong></sub><b>O</b><sub><strong>3</strong></sub><b> interfacial layer</b>

description: data sharing
DOI: 10.17632/7jrzkpby63
title: Revisiting the phylogeny of Microsporidia

description: The dataset includes two alignment files in nexus format and supplementary figures and tables for the published paper. Title: Revisiting the phylogeny of Microsporidia Journal: International Journal for Parasitology https://doi.org/10.1016/j.ijpara.2021.02.005 1) An alignment of concatenated sequences (SSU rRNA + LSU rRNA) for the phylogeny of canonical Microsporidia 2) An alignment of SSU rRNA sequences for the phylogeny of Opisthosporidia. 3) Supplementary figures; all the full Bayesian and ML trees generated from the study 4) Supplementary tables; The lists of rRNA sequences used to infer the phylogenetic trees of canonical Microsporidia and Opisthosporidia
DOI: 10.6084/m9.figshare.19728619.v1
title: AnimalMetagenome DB: a database for animal metagenomes

description: The AnimalMetagenome DB current version of the data contains 5 Excel files, which are the metagenome metadata of pigs, horse, bovines, sheep and wild animals. <br>
DOI: 10.17632/7kmtsmsgfw
title: Dialysis database: sessions with valid data of clinical parameters

description: The datasets contain just sessions with valid data, extracted from clinical information of 98,015 hemodialysis sessions corresponding to 758 patients. 22 clinical parameters measured 5 times during the session, as well as the gender and age of the patient. Each dataset consists of a matrix where the rows are the sessions and the columns are the different clinical parameters (attributes), except for hypotension, which is the parameter to be classified and predicted (categorical response). It is important to point out that, to build this dataset, only the sessions where all the values of the clinical parameters are valid have been taken into account, that is, parameters that have been correctly measured (they do not contain null values or values outside their own ranges). There are 11 datasets, each of which consists of an increasing number of parameters (from only 2 parameters in the first dataset to 24 parameters in the last one).
DOI: 10.17632/m3gr9bsttt
title: Melting dynamics of Late Cretaceous lamprophyres in central Asia suggest a mechanism to explain many continental intraplate basaltic suite magmatic provinces

description: Data for the manuscript entitled Melting dynamics of Late Cretaceous lamprophyres in central Asia suggest a mechanism to explain many continental intraplate basaltic suite magmatic provinces
DOI: 10.17632/xj8b7hwkgs
title: Factores relevantes en la modalidad de escolarización del alumnado con trastorno del espectro autista

description: Datos alumnado ASD 2020/2021 en Almería (España) - ASD 2020/2021 student data in Almería (Spain)
DOI: 10.6084/m9.figshare.27810030.v1
title: Road.zip

description: 道路：简化的道路网络数据;Label_16：分割后的标签掩码数据;segmentation：分割结果向量数据