cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8088995.v1
title: datasets

description: This Database belongs to “A Database for Using Machine Learning and Data Mining Techniques for Coronary Artery Disease diagnosis” research paper. This database includes 15 tables. We chose to index papers related to CAD detection using machine learning and data mining approaches that are published between 1992 and 2018. These criteria result in 126 papers in which 490 authors contributed to these papers. These papers studied 68 different datasets with almost more than 360 distinct features collected in 18 countries from Asia, Europe, and America. In these papers, 140 different machine learning or data mining techniques were applied to diagnose CAD. To use csv file, open it in excel or import it in your database.
DOI: 10.17632/2jdy2wr2bz
title: Risk factors associated with cytomegalovirus infection in patients with drug-induced hypersensitivity syndrome/drug rash with eosinophilia and systemic symptoms (DIHS/DRESS): Comparison with a population with drug eruptions

description: Supplemental material for Miyagawa F et al. Risk factors associated with cytomegalovirus infection in patients with drug-induced hypersensitivity syndrome/drug rash with eosinophilia and systemic symptoms (DIHS/DRESS): Comparison with a population with drug eruptions. JAAD International, 2025
DOI: 10.17632/pr4bwy52j7
title: In the Zone: The Effects of 2002-2010 Upzoning on Urban Life in New York City Dataset

description: Data and results used in the paper In The Zone. 

Appendix A: Raw data covering zoning, demographic, housing, economic, social, transportation, and greenspace variables for NYC 2002-2018 on a census tract level. 
Appendix B: Complete list of model coefficients, connections, standard errors, and p-values
Appendix C: Complete list of all direct and indirect paths as well as their combined effects, with standard errors and p-values calculated.
DOI: 10.6084/m9.figshare.25046465.v1
title: Supplementary Material for: Seasonality of reproduction in a subtropical free living finch Amandava amandava: Plasticity of adenohypophyseal gonadotropes, lactotropes and thyrotropes

description: Introduction
This study sought to decipher the mechanism of transitions between life-history stages in a seasonally reproducing subtropical finch, Amandava amandava delineating the plasticity of the gonadotropes (LH cells), lactotropes (PRL cells) and thyrotropes (TSH cells) in the pituitary gland including the pars tuberalis (PT), with regard to the in-situ expression, morphological characteristics, and alteration in the plasma levels of hormones. 
Methods
Immunohistochemistry of LH, PRL, TSH cells, morphometry and densitometry of expressed hormones (Imge J software analysis), and ELISA for plasma hormonal levels were performed.
Results
LH, PRL and TSH cells showed remarkable plasticity during the annual seasonal reproductive cycle. In the PT, all the three cell types were detected during the breeding phase, with additional detection of the TSH immunoreactivity during the pre breeding and the PRL immunoreactivity during post breeding phases. Pars distalis (PD) expressions and the plasma levels of the LH and TSH were at the peak during the breeding phase, but the PRL peak was during the post-breeding phase. In addition to PRL in the neurohypophysis and in the median eminence, hypothalamic PRL and TSH were also elucidated. 
Conclusions
This study suggests activation of the gonadal axis by the PT TSH which might transduces seasonal cues, but not specifically photoperiod, in the birds of the tropics/subtropics. Post breeding phase sustained high plasma TSH and peak plasma PRL might coordinate the transition to the non-breeding phase including the trigger of parental care as the later hormone assigned with. Hypothalamic TSH and PRL might influence events of seasonality through central modulation.
DOI: 10.6084/m9.figshare.25406335.v1
title: Supplementary files belonging to Fungal Planet description sheets: 1614–1696 - Fungal Systematics and Evolution 13: 183–440

description: Alignments and phylogenetic trees processed through Mesquite and belonging to new species described in this Fungal Planet set contributed by the Westerdijk Fungal Biodiversity Institute, Utrecht, the Netherlands. See the figure legends associated with each file in the original publication for more details.In addition, supplementary tables and figures provided by other co-authors to this Fungal Planet set are also provided here. For all other supplementary material, see the repository links provided in the publication text.
DOI: 10.6084/m9.figshare.28704965.v1
title: Supplementary Material for: Autoimmune pancreatitis in children: a case report

description: Introduction: Autoimmune pancreatitis (AIP) is a rare and distinct condition in children compared to adults. Despite being based on adult diagnostic criteria, several differences have been reported, making pediatric AIP a challenging diagnosis. 
Case presentation: A 14-year-old adolescent presented to the emergency department with abdominal pain, vomiting, and jaundice. A combination of biological and radiological assessments led to the diagnosis of AIP. The patient experienced a swift and complete recovery without intensive treatment. 
Conclusion: AIP in children is an intriguing diagnosis and should be considered when a child presents with abdominal pain, vomiting, and jaundice. The natural history and pathophysiology of the disease are still uncertain. Specific markers for the disease need to be established. Studies on larger sample sizes are necessary to address these questions and improve AIP diagnosis and management.
DOI: 10.6084/m9.figshare.4551682.v1
title: Refinement of pentobarbital euthanasia with local anaesthetic

description: Raw data for 'Local anaesthetic refinement of pentobarbital euthanasia reduces abdominal writhing without affecting immunohistochemical endpoints in rats', published in Laboratory Animals.<br>
DOI: 10.17632/4gbzk9sy24
title: Data for: See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning

description: The dataset includes 45 natural forest scan clips with manually labelled classes (1: stem, 2: branch, 3: other).
DOI: 10.17632/4jmv6p4355
title: Data for: The Minimum Wage and Annual Earnings Inequality

description: STATA dataset
DOI: 10.17632/shfzmm3j47
title: LINF_190010900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.24844692.v1
title: Raw data of fecal metabolites

description: Metabolites extracted from fecal samples of C57 mice and detected by liquid chromatography-mass spectrometry.
DOI: 10.17632/m9x5jgthk2
title: Thesis Appendix Tables

description: The data deposited here is the supplementary data that form part of a PhD thesis entitled "Comparative proteomic analyses of clinical Streptococcus pneumoniae isolates from invasive and non-invasive sites" submitted at the University of Aberdeen by Mustapha Bittaye. Detailed information about how the data was generated and what the data show are found within the Thesis.
DOI: 10.17632/z4bmv7bjrp
title: Metadados JP

description: Referentes aos artigos WO3
DOI: 10.6084/m9.figshare.16571103.v6
title: FABIO-CHN PSUTs and MRIO tables 1990-2013

description: This dataset records the time-series physical supply and use tables (PSUTs) and multi-regional input-output (MRIO) tables of 85 agricultural and food products of China during the time period of 1990-2013. For detailed methodological processes to create the PSUTs and MRIO tables (for the year 2012 ONLY), please refer to the article, <em>Ye, Q., Bruckner, M., Wang, R., Schyns, J. F., Zhuo, L. Yang, L., Su, H., and Krol, M. S. A hybrid multi-regional input-output model of China: integrating the physical agricultural biomass and food system into the monetary supply chain. Resources, Conservation & Recycling 177.</em> You will be more than welcome to contact the authors if you meet any problems or have any questions regarding the FABIO-CHN dataset. <br> Updated (2022-12-29): trade data has been adjusted.
DOI: 10.6084/m9.figshare.21724619.v1
title: Data of test systems

description: Test systems of "Distributed Optimal Dispatch of Linear Integrated Electricity and Gas System Based on Multi-Parameter Programming Modified ADMM"
DOI: 10.6084/m9.figshare.14782407.v1
title: Dataset_NER_Manufacturing - “FabNER”: Information Extraction from Manufacturing Process Science Domain Literature Using Named Entity Recognition

description: We compiled a manufacturing text document of 350,000+ words for training, testing and validating the neural network for Named Entity Recognition. The entire annotated dataset is made available as Supplemental Material. Please cite the paper (link: https://rdcu.be/cnaJ9) if you use the dataset.
DOI: 10.6084/m9.figshare.29109137.v1
title: SA1_prol_1

description: NU1 cells Chipseq data
DOI: 10.17632/ff94wp42wd
title: ePDF tools, a processing and analysis package of the atomic pair distribution function for electron diffraction

description: We present a new processing & analysis package of the atomic pair distribution function (PDF) for the electron diffraction (ED) pattern based on the total scattering theory which has been broadly used in the X-ray or neutron diffraction to reveal the local atomic structures, but PDF analysis based on the electron diffraction is still rarely used for the lack of an efficient PDF tool. The program was written as a package of DigitalMicrograph, a very popular software to record and analyze the data of transmission electron microscopes (TEM) in the most of TEM laboratories. The azimuthal rotation-average projection algorithm was implemented to enhance the signal-noise ratio of the intensity profile. In order to obtain the reduced structure function, the cubic spline fitting method was utilized to subtract the background scattering. The real-time displayed PDF makes data normalization easier and more accurate, and results of coordination numbers and averaged bond angles can be extracted from calibrated PDFs in real time.
DOI: 10.6084/m9.figshare.1200077.v1
title: Relative Food Prices and Obesity in U.S. Metropolitan Areas: 1976-2001

description: Pseudo-panel by race and gender
DOI: 10.6084/m9.figshare.13614311.v3
title: Annotation files for Longya-10 genome

description: These are the annotation files for the chromosome assembly of Longya-10 (Linum usitatissimum L.). The assembled genome has been deposited in NCBI database under project PRJNA449140.
DOI: 10.6084/m9.figshare.26103955.v4
title: 注意山体阴影 U-Net

description: We have provided the code, DEM data, and all figures used in the paper.
DOI: 10.6084/m9.figshare.14511657.v1
title: Integration of Internet search data to predict tourism trends using spatial-temporal XGBoost composite model

description: Tourism trend prediction is useful for tourism investment and tourism income estimation. Studies on tourism prediction have mostly relied on linear models and historical visitors; however, relationships between tourism trends and their influencing factors may be nonlinear. This study took internet search data as influencing factors and predicted tourism trends using a spatial-temporal framework based on the extreme gradient boosting (XGBoost) method. To incorporate the spatial characteristics, Baidu index data were divided according to locational attributes, and influencing factors were reconstructed via spatial cluster analysis and principal component analysis. Next, variables derived from dimension reduction were further processed based on the weighted moving average to reduce the lag effect between tourism internet search and actual tourism behavior. By using the above spatial-temporal method, Baidu index data can more accurately reflect changes in tourist source composition and tourist volumes. The spatial-temporal XGBoost composite model then applied to the empirical prediction of Beijing's tourism trends. A comparison of prediction results obtained using different models indicates that the spatial-temporal XGBoost composite model has excellent prediction ability. The findings also suggest that machine learning methods may not perform well if the essential characteristics of data, such as spatial autocorrelation and spatial heterogeneity, are ignored.
DOI: 10.6084/m9.figshare.24516988.v1
title: Supplementary Material for: Electronic Patient-Reported Outcomes in Hidradenitis Suppurativa: Content Validity and Usability of the Electronic Hidradenitis Suppurativa Symptom Daily Diary, Hidradenitis Suppurativa Symptom Questionnaire and Hidradenitis Suppurativa Quality of Life Questionnaire

description: Background: Hidradenitis suppurativa (HS), a chronic skin condition that causes pain and physical dysfunction, can impact significantly on quality of life. Disease‑specific tools have been designed to assess the patient impact of HS, including the HS Symptom Daily Diary (HSSDD), the HS Symptom Questionnaire (HSSQ) and the HS Quality of Life (HiSQOL©) questionnaire, which have been developed into electronic instruments (eHSSDD, eHSSQ and eHiSQOL©). Objectives: To establish the content validity of the electronic version of the HSSDD and HSSQ, and the acceptability and usability of the HSSDD, HSSQ and HiSQOL© using concept elicitation and cognitive debriefing interviews. Methods: This was a non‑interventional qualitative video interview study involving participants aged ≥18 years with moderate to severe HS recruited from a single clinical site in the USA. Interviews gathered feedback on participants’ symptom experience, followed by training and completion of the eHSSDD, eHSSQ, and eHiSQOL© questionnaires on electronic hand-held devices. Participants were then interviewed on the content of the eHSSDD and eHSSQ, and the acceptability and usability of all three instruments. Interviews were transcribed and qualitatively analysed. Results: Twenty participants with moderate to severe HS (median age: 41.5 [range: 20.0–64.0]; n=16/20 female) were included. All participants found the eHSSDD, eHSSQ and eHiSQOL© instructions clear, and described the instruments as ‘easy’, ’simple’ and ’self-explanatory’. Overall understanding of individual items within the eHSSDD and eHSSQ was high; however, 6/20 participants had difficulty in understanding the ‘average skin pain’ item in the eHSSDD. All participants were able to accurately recall their symptoms within the recall periods of the eHSSDD and eHSSQ, although 4/20 participants found the 24-hour recall period of the eHSSDD limiting. Completion time was quick across all instruments and usability was high, with the majority of participants reporting no difficulty in completing questionnaires on electronic devices. Conclusion: The concepts covered in the eHSSDD and eHSSQ are relevant and important to patients, supporting their content validity. The findings also provide evidence of acceptability and usability of the eHSSDD, eHSSQ, and eHiSQOL©. A limitation was that all participants were recruited from a single site, which may have introduced selection bias and thus limit the generalisability of results.
DOI: 10.6084/m9.figshare.c.3642353_d5.v1
title: Additional file 14: Table S9. of Identification of global regulators of T-helper cell lineage specification

description: Predicted GO terms of lineage-specific lncRNAs. (XLSX 380 kb)
DOI: 10.17632/ptykxhsx6t
title: Data for: Citizen scientists reveal nationwide trends and drivers in the breeding activity of a threatened bird, the malleefowl (Leipoa ocellata)

description: This folder contains malleefowl nest counts from 128 sites across Australia over 28 years. It also contains an R script to estimate trends and drivers of nest activity over this period while using interval censoring to account for uncertain nest counts.
DOI: 10.6084/m9.figshare.21056146.v2
title: Dataset S4 (Figshare). Novel ATP synthase subunit FASTA files for Types II-IV.

description: Sequences from novel structures were used to conduct BLAST and HMMER searches into closely related genomes and transcriptomes obtained from the EukProt v3 database. These hits were verified via reciprocal BLAST, phmmer, HHpred, Phyre2, SWISS-MODEL, and AlphaFold.
DOI: 10.6084/m9.figshare.5303092.v1
title: Symptom experience, cancer awareness, consulting and smoking status dataset.xlsx

description: This is the 'minimal data set' comprising the variables used to obtain the conclusions drawn in the PLOS One manuscript: 'Experience of, awareness of and help-seeking for potential cancer symptoms in smokers and non-smokers' Walabyeki, J; Adamson, J; Atkin, K ;Buckley, H; Sinclair, H; Whitaker, K; Graham, H; Wardle, J; Macleod, U. (accepted manuscript). The data set was obtained from a postal survey sent by the general practices to cancer-free people over 50 years old. The participants also provided their smoking status information and the amount smoked. For further information contact: Julie.Walabyeki@hyms.ac.uk
DOI: 10.6084/m9.figshare.7740071.v1
title: 1602_Gosens_RNAseq.expression.genelevel.v75.htseq.txt

description: p.p1 {margin: 0.0px 0.0px 0.0px 0.0px; text-align: justify; font: 12.0px 'Helvetica Neue'; color: #454545} Complete processed RNA Sequencing dataset containing all raw read counts per sample. Samples were primary human lung fibroblasts obtained from 4 donors, each treated with 1 of 4 conditions (Vehicle, CHIR99021, TGFβ, CHIR99021 + TGFβ) for 24 hours prior to RNA isolation and processing for RNA sequencing (see text for details).
DOI: 10.17632/nk6vy3vpsd
title: Black_Fungus

description: Black fungus is a dataset for image classification tasks
where it consists of several images for black fungus cases followed by the Covid-19 virus.
Please cite it 
Thanks :)
DOI: 10.6084/m9.figshare.25001837.v1
title: Opitical density of yeast isolates from Tella, Tej and Areke under various ethanol, sugar concentrations, temperatures, salt, and pH tolerance<b>.</b>

description: Opitical density of yeast isolates under various ethanol, sugar concentrations, temperatures, salt, and pH tolerance<b>.</b>
DOI: 10.6084/m9.figshare.26927536.v1
title: <b>Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models</b>

description: Leaf spectroscopy, combined with partial least squares regression (PLSR), is recognized as an efficient and precise tool for measuring plant leaf traits. However, the feasibility of developing a generalizable model remains unclear, primarily due to limited understanding of PLSR model transferability. Here, we provided the datasets and codes for investigating this issue using 1,967 samples of 349 tree species in eight forest sites across China.Researchers utilizing these datasets and codes should cite the following paper:Jiatong Wang, Xiaoqiang Liu, Xiaotian Qi, Xiaoyong Wu, Yilin Long,Yuhao Feng, Qi Dong, Jiabo Yan, Liwen Huang, Yue Luo, Mengqi Cao, Kai Xu, Changming Zhao, Yang Wang, Tianyu Hu, Jin Wu, Lingli Liu, Yanjun Su (2025) . Boosting leaf trait estimation from reflectance spectra by elucidating the transferability of PLSR models. Plant Phenomics. Accepted.
DOI: 10.6084/m9.figshare.27950625.v1
title: <b>Toxoplasma gondii Infection Induces Ferroptosis in vivo and in vitro</b>

description: Toxoplasma gondii is an obligate intracellular protozoan parasite which seriously threatens the health of domestic animals and humans. However, its association with ferroptosis has not been fully elucidated. Taken together, our findings suggest that T.gondii infection has important effects on redox homeostasis, revealing a previously unappreciated role for GPX4 in toxoplasmosis progression. This novel mechanism provides a potential new target for the treatment of toxoplasmosis.
DOI: 10.17632/jwrdck627d
title:  Stata code: Additive and intersectional analyses for self-health concerns during the COVID-19 pandemic in Canada

description: This repository includes two files: 
(1) a secondary data file with an analytical sample, "Rahman_2022_Covid19 AnalyticalSample_StatCanadaData2020" and 
(2) a Stata code file, "Rahman_2022_Covid19_StataCode" .

Rahman (2022) wrote Stata code to analyse a sub-sample (N=239143) of Statistics Canada’s publicly available crowdsourcing data for findings presented in a book chapter. The purpose of this chapter was to showcase the contrast between additive and intersectional approaches to examine the COVID-19 impact on intersectional groups of Canadians. See Rahman's (2022) methods section and Supplemental Figure S1 in order to learn about this analytical sample.

Statistics Canada (2020a) collected crowdsourcing data online from April 3 to 23, 2020 to understand the impacts of the COVID-19 pandemic in Canada. Statistics Canada’s (2020a; 2020b) publicly available complete data set and their documentation can be downloaded from https://doi.org/10.25318/45250003-eng.

REFERENCES

Rahman, Laila. 2022. Concern for self-health during the COVID-19 pandemic in Canada: How to tell an intersectional story using quantitative data? In D. Woolford, D. Kotsopoulos, and B. Samuels (Eds.), Applied Data Science: Data Translators Across the Disciplines, Springer, Interdisciplinary Applied Sciences. (Accepted for publication).

Statistics Canada. (2020a, June 3). Crowdsourcing: Impacts of COVID-19 on Canadians. https://doi.org/10.25318/45250003-eng

Statistics Canada. (2020b). User guide for the crowdsourcing: Impacts of the COVID-19 on Canadians, public use microdata file. https://doi.org/10.25318/45250003-eng
DOI: 10.6084/m9.figshare.12030624.v2
title: Dataset_S1_MSA_files

description: Dataset S1: contains .txt files for all of the seed sequences used to construct the custom pHMMs for precision mode of RRE-Finder.<br>
DOI: 10.6084/m9.figshare.24051195.v1
title: Qualitative analysis of students' reflections

description: Thematic analysis codes from the analysis of the students' reflections. Open coding was first conducted by 4 researchers. Followed by axial coding and selective coding by the research team via multiple discussions.Codes were separated into 5 major themes (knowledge, skills, attitude, call to action and emotions) with 4 overarching themes (knowledge, skills, attitude and call to action) emerging from the thematic analysis.
DOI: 10.6084/m9.figshare.26741729.v1
title: Additional file 4 of Genome-wide identification and expression analysis of histone deacetylase and histone acetyltransferase genes in response to drought in poplars

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.9165359.v1
title: Proteins identified in all strains of <i>M. pneumonia</i> of interest from Reverse vaccinology and subtractive genomics reveal new therapeutic targets against <i>Mycoplasma pneumoniae</i>: a causative agent of pneumonia

description: The file contains the names of proteins common to all bacterial strains of interest, which were identified from the core genome.
DOI: 10.17632/jf6kbx3tms
title: Matlab implementation of a numerical strategy to study the onset of surface waves in flows of non-Newtonian liquids.

description: This data presents a MATLAB implementation for a numerical strategy to study the onset of surface waves in flows of non-Newtonian liquids in the presence of an inclined plane. In order to use the main code is necessary to install the Chebfun open-source software in the main folder.
DOI: 10.6084/m9.figshare.21280104.v1
title: emission images defect samples

description: The emission images are manually inspected in order to select 150 images as defected samples and used to create a dataset considered as the ground truth for machine learning <br> Acknowledgement : Thanks to Denis Dowling from I-Form Advanced Manufacturing Research Centre and his team member Darragh Egan based in University College Dublin for the provision of this data
DOI: 10.6084/m9.figshare.21760658.v3
title: NLFFF Dataset and Flare Label Database Archive

description: An archive of NLFFF dataset summary information in sqlite database format, which contains raw header file information, archive information of 3D magnetic fields extrapolated using Wiegelmann's Nonlinear Force-Free Field (NLFFF) extrapolation algorithm, flare information, and flare label of database samples.