cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24639387.v1
title: Cybersecurity research publications, authors, and datasets 2015-2019. Data package for the paper "Data Sharing and Use in Cybersecurity Research".

description: The dataset supports the publication "Data Sharing and Use in Cybersecurity Research" by I. Kouper and S. Stone (in the CODATA <i>Data Science Journal</i>).<b>Paper abstract:</b> Data sharing is crucial for strengthening research integrity and outcomes, and for addressing complex problems. In cybersecurity research, data sharing can enable the development of new security measures, prediction of malicious attacks, and increased privacy. Understanding the landscape of data sharing and use in cybersecurity research can help to improve both the existing practices of data management and use and the outcomes of cybersecurity research. To this end, this study used methods of qualitative analysis and descriptive statistics to analyze 171 papers published between 2015 and 2019, their authors' characteristics, such as gender and professional title, and datasets' attributes, including their origin and public availability. The study found that more than half of the datasets in the sample (58%) and an even larger percentage of code in the papers (89%) were not publicly available. By offering an updated in-depth perspective on data practices in cybersecurity, including the role of authors, research methods, data sharing, and code availability, this study calls for the improvement of data management in cybersecurity research and for further collaboration in addressing the issues of cyberinfrastructure, policies, and citation and attribution standards in order to advance the quality and availability of data in this field.The dataset consists of four files:codebook.xlsx - the codebook of the study that contains coding categories, coding variables and their descriptions and specific codes developed to describe the data.publications.xlsx - metadata and coded content for 171 publications collected for the study.first authors.xlsx - metadata and coded content for first authors of the analyzed publications. Emails and web_links (links to CV or individual homepage) were removed for privacy reasons.datasets.xlsx - metadata and coded content for 387 unique datasets identified in the examined publications.<b>Suggested citation for the dataset:</b> Kouper, I. & Stone S. (2023). Cybersecurity research publications, authors, and datasets 2015-2019. [Figshare.] DOI: 10.6084/m9.figshare.24639387
DOI: 10.6084/m9.figshare.25018745.v1
title: Original raw data of each step of the drug screening.

description: Original raw data of each step of the drug screening supporting the findings of this study.
DOI: 10.6084/m9.figshare.25680153.v1
title: Supplementary Material for: Colonic tubular adenoma with clear cell change – case report with whole exome sequencing and updated review of the literature

description: Introduction: Colorectal tubular adenomas displaying clear cell change are rare entities, with unknown clinical relevance, prognosis, immunohistochemical, and molecular features. 
Case presentation: Hereby we report a case of a 43-year-old female patient with a rectosigmoid polyp. Histologically, conventional dysplasia was visible with scattered areas displaying clear cell change. Whole exome sequencing (WES) was carried out and revealed high tumour mutation burden, and 7 pathogenic mutations, including TP53, APC, FGFR4, EHBP1, IL4R, TYR, and ACTN3.
Conclusion: Clear cell change may only be present in less than 0,1% of adenomas. Aetiology is not well understood, additionally, few authors suggest autolysis or fixation problems. Our WES resulted in newly found pathogenic mutations, and high mutation burden, proving the lesion’s neoplastic origin. Hitherto, neither special stainings, nor immunohistochemical markers proved to be useful in the diagnostic process. From a differential diagnostic perspective, enteroblastic differentiation, primary and secondary clear cell adenocarcinoma has to be excluded.
DOI: 10.6084/m9.figshare.27645786.v1
title: "Green AI: Which Programming Language Consumes the Most?": Replication Package

description: Companion package of the study "Green AI: Which Programming Language Consumes the Most?", submitted for revision at the 9th International Workshop on Green and Sustainable Software (GREENS’25).<br><br>This package was developed to support the independent reproduction of the results presented in the paper, and the scrutiny of the experimental data collection procedure.
DOI: 10.17632/n6g74dcgvm
title: Graphene nanoengineered fiber reinforced concrete compressive strength dataset

description: This dataset accompanies the article titled "Assessment of Hybrid Fiber Reinforced Graphene Nano-Engineered Concrete Composites: From Experimental Testing to Explainable Machine Learning Modeling". It includes experimental data on the properties of concrete composites that incorporate hybrid fibers and graphene nano-engineering. The dataset contains key parameters such as:

Material Composition: Quantities of cement, sand, aggregate, and supplementary cementitious materials (SCM).
Additives: Information on water-to-binder ratio (W/B), superplasticizer (SP), and types of fibers used, including steel fiber (SF), polypropylene fiber (PP), and glass fiber (GF).
Experimental Conditions: The age of the concrete samples (in days) and the corresponding compressive strength (CS) values.
References: A column for source references providing additional details on the experimental setups.
This data supports the development and validation of machine learning models to predict the behavior of hybrid fiber reinforced graphene nano-engineered concrete composites.
DOI: 10.6084/m9.figshare.20452773.v2
title: Questionnaire data

description: Questionnaire data
DOI: 10.6084/m9.figshare.21984989.v1
title: LIBS spectra: Fe-Co certified sample set

description: This repository contains data (LIBS spectra) measured from a unique sample set with a certified composition. The set contains 11 samples, covering the transition from pure iron to pure cobalt with a step of 10% (composition change). Samples were measured on several distinct systems under selected conditions. The dataset was designed as a benchmark to test and compare distance metrics.
DOI: 10.6084/m9.figshare.28892231.v1
title: Data that are presented in the paper

description: Data that are used in the PRA paper
DOI: 10.6084/m9.figshare.3551742.v1
title: Appendix C. Calculating the proportion of variance in λs associated with including the effects of wild ungulates on each vital rate.

description: Calculating the proportion of variance in λs associated with including the effects of wild ungulates on each vital rate.
DOI: 10.17632/gz4xvwbvhs
title: UBQLN4 Represses Homologous Recombination and Is Overexpressed in Aggressive Tumors

description: high-content screening (HCS) microscopy data
DOI: 10.17632/r2y8z6bzg8
title: Mutual Adaptation for Human-Robot Co-Learning - USAR task

description: This data was gathered in an experiment with the aim of studying mutual adaptations in a human-robot collaborative task. Human participants were presented with a virtual (Urban-Search-and-Rescue inspired) task and robot. They were given limited information about the behavior of the robot, which was driven by a Reinforcement Learning algorithm. The goal for the human-robot team was to learn how successfully collaborate on this task over the course of eight rounds of performing the task. We wanted to gain insight into the following: - What kind of interaction patterns emerged as a result of the mutual adaptivity of the human and the robot; - What behavior the robot learned as a result of this; - What behavior the human learned as a result of this; - How the learning process of the human might have influenced the learning process of the robot. To achieve this, we include a file that summarizes the behavior and interactions of the human-robot team in a qualitative manner. Important to note here is that participants were asked to think aloud, giving us more details about their behavior. Moreover, we include an excel file that contains the following data: - Robot Macro-Actions: the robot used a Q-learning algorithm to choose between 3 macro-actions in each of 4 phases of the task. This file shows which macro-action had the highest Q-value for each phase at the end of each round, for each participant. - Human Clusters: we clustered the human participants into three large clusters based on their behavior. - Human Strategies: we coded the behavior of the participants for each round of the task. - Collaboration Fluency Scores: we measured subjective collaboration fluency through 3 short questions asked to each participant after each round in the experiment. Our most important findings from this data were a set of interaction patterns, as well as the suggestion that the level of adaptivity of the human influenced which macro-actions the robot chose to use. The details of the research for which this data was collected and the experiment can be found here: https://www.frontiersin.org/articles/10.3389/frobt.2021.692811/abstract
DOI: 10.6084/m9.figshare.13365218.v1
title: Supplementary Material for: Infantile Pyknocytosis: End-Tidal CO, %Micro-R Measurements, Next-Generation Sequencing, and Transfusion Avoidance with Darbepoetin

description: Infantile pyknocytosis is a rare, self-limited, hemolytic condition of unknown pathogenesis. It is diagnosed when a neonate with Coombs-negative hemolytic anemia has abundant pyknocytes and a characteristic clinical course after other hemolytic disorders has been excluded. Previous reports suggest that transfusions might be avoidable in this condition by administering recombinant erythropoietin. We cared for a patient with this disorder where we employed novel diagnostics and therapeutics. Despite these, and a good outcome free of transfusions, we continue to consider the condition to be idiopathic.
DOI: 10.6084/m9.figshare.14414528.v1
title: Supplementary data.xlsx

description: Data regarding the collection of skin surface temperatures using infrared thermography, in order to predict core temperatures.
DOI: 10.6084/m9.figshare.22128503.v1
title: Spaceborne LiDAR reveals the effectiveness of European Protected Areas in conserving forest height and vertical structure

description: The data set corresponds the data presented in the paper “GEDI spaceborne LiDAR reveals the effectiveness of European Protected Areas in conserving forest height and vertical structure” which has been submitted to Nature Communications Earth and Environment.
DOI: 10.6084/m9.figshare.22509829.v1
title: Replication files for "Poverty decompositions with counterfactual income and inequality dynamics" (Hartmann and Wacker, 2023)

description: STATA files to replicate Hartmann and Wacker (2023) and calculate the poverty counterfactuals discussed therein. An overview about the files is provided in a ReadMe file.
DOI: 10.6084/m9.figshare.26778772.v1
title: ASV table.xlsx

description: Transgenic glyphosate-resistant maize has emerged as a way to expand the use of glyphosate for weed control. Studying the microbiome in the tissues and rhizosphere soil of transgenic plant is vital for understanding the glyphosate-resistant mechanism and optimizing the transgenic design of crops. In our study, the expression of a mutant cp4epsps gene in transgenic maize, which confers tolerance to glyphosate, was performed using the maize variety Xianyu 335 as the genetically modified acceptor line. This transgenic modification did not affect the initial bacterial community in the leaf, stem, root of maize, but promoted an improved bacterial community in the rhizosphere soil. After glyphosate stimulation, the glyphosate-resistance transgenic maize recruited more beneficial bacteria involved in N fixation and P solubilization and less pathogens in plant tissues and the rhizosphere soil than glyphosate-sensitive maize. Notably, the re-inoculation of bacterial strains isolated from glyphosate-resistance maize into the leaf and rhizosphere soil of glyphosate-sensitive maize resulted in an enhanced photosynthetic capacity in response to glyphosate, demonstrating the vital role of specific bacteria for glyphosate resistance. Our study provides important evidence of transgenic maize tolerance to herbicides from a bacterial ecology perspective.
DOI: 10.6084/m9.figshare.6943361.v2
title: Earth Analytics Bootcamp | Data Structures Teaching Subset

description: This is a teaching data subset that contains data for monthly temperature (Celsius) for Boulder, CO. Data included:<br>1. Average monthly temperature (Celsius) derived from monthly temperature between 1961 and 1900 (avg-monthly-temp.txt). File is organized with 12 rows/records (one value for each month from January through December).<br>2. Average monthly temperature (Celsius) derived from monthly temperature between 1961 and 1900 with month and season names (avg-temp-months-seasons.csv). File contains headers for rows/columns as needed.<br>Source: NOAA.
DOI: 10.6084/m9.figshare.9744857.v1
title: Chen_GRL_2019

description: The data in this repository supports the analysis of Chen, Liu and Zhang (2019 submitted), Geophysical Research Letters.
DOI: 10.17632/ns8brpvb2v
title: Data For: Can Real Estate Booms Hurt Firms? Evidence on Investment Substitution: YJUEC-D-22-00395R2

description: Replication repository for "Can Real Estate Booms Hurt Firms? Evidence on Investment Substitution" by Harald Hau and Difei Ouyang for future publication in the Journal of Urban Economics, manuscript number YJUEC-D-22-00395R2. The repository includes raw data, intermediate data, and codes to generate tables and figures in the main text and appendix.
DOI: 10.17632/yctnptkmf6
title: Data for: A review of Gulf of Mexico shoreline erosion studies following the 2010 Deepwater Horizon oil spill and comparison to 4 years of shoreline loss data from 2011-2015

description: BP. Gulf Science Data, Coastal Wetland Vegetation Assessment Data File. Website: http://gulfsciencedata.bp.com/, directory: Shoreline; subdirectory: Coastal Wetland Vegetation Assessment; filename: ShorelineCWVA_SH-03v02-01.xlsx (zipped). Last modified March 2014. BP Gulf Science Data. 2014. Shoreline Erosion Staking Data at stations in Barataria Bay and Barrier Islands in Louisiana, Fall 2011 through Fall 2012. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University-Corpus Christi. https://doi.org/10.7266/N7CR5RR8
DOI: 10.25386/genetics.7399514.v1
title: Supplemental Material for Poe et al., 2018

description: Supplemental materials, including Supplemental Figures, Supplemental Tables, Methods, and Supplemental Reference.<br>
DOI: 10.6084/m9.figshare.22233292.v2
title: Plate 1

description: These are the Cell Painting images from Plate 1. There are three channels: - DAPI (DNA/Nuclei) - GFP (ER) - RFP (Actin) There are two genotypes of cells (NF1+/+ and NF1-/-) that are split between columns 6 and 7, respectively. <br> Included in this dataset is the plate map file that contains all the metadata for this project. <br>
DOI: 10.6084/m9.figshare.24878421.v4
title: The creative tasks, corresponding datasets of performance ratings, and analysis scripts used in the study "Large Language Models show both individual and collective creativity comparable to humans"

description: The creative tasks, corresponding datasets of performance ratings, and analysis scripts used in the study "Large Language Models show both individual and collective creativity comparable to humans"
DOI: 10.6084/m9.figshare.28099247.v1
title: Social_Dataset-master.zip

description: Social_Dataset-master.zip
DOI: 10.6084/m9.figshare.29126885.v2
title: Generation of Genome-Wide Methylation Matrix from Bismark Coverage Files Using methylKit

description: This R script processes bisulfite sequencing coverage files generated by the Bismark methylation extractor and produces a comprehensive CpG methylation matrix using the <b>methylKit</b> package. The matrix reports the percentage methylation for each CpG site across all samples, formatted for downstream statistical analysis and visualization.The script includes two pipelines:Reads and filters raw <code>.cov</code> files from Bismark.Alternatively, loads a pre-processed methylKit object (<code>finalmeth.RData</code>) to regenerate the methylation matrix.<b>Process Overview:</b>Reads 40 <code>.cov</code> files (CpG coverage) using <code>methRead()</code>, specifying treatment group assignments and metadata.Applies coverage filtering to remove extreme or low-confidence sites.Unites the methylation calls across samples using <code>unite()</code>.Converts to a percent methylation matrix via <code>percMethylation()</code>.Exports the resulting matrix as a tab-delimited file <code>erindata.txt</code>.<b>Inputs:</b>40 Bismark coverage files named like <code>W1.CpG_report.merged_CpG_evidence.cov</code>.Optional input: <code>finalmeth.RData</code> containing a pre-constructed <code>methylBase</code> object (<code>methBase_ob</code>).<b>Outputs:</b><code>erindata.txt</code>: a tab-separated table with columns:Sample-specific percent methylation values<code>Row_ID</code>: unique CpG identifiers in the format <code>chr_pos</code><b>Software Requirements:</b>R (≥ 4.0)Package: <code>methylKit</code> (Bioconductor)<b>Usage Notes:</b>Ensure filenames in <code>file.list</code> match the actual file names in your working directory.The <code>treatment</code> vector must be aligned with sample IDs for correct experimental grouping.CpG context only is supported (<code>context = "CpG"</code>).The script is configured for Bismark coverage format (<code>pipeline = "bismarkCoverage"</code>).Percent methylation is reported without strand collapsing (<code>destrand = FALSE</code>).
DOI: 10.6084/m9.figshare.29131019.v1
title: TABLASPSSMASTER

description: TablaSPSSMASTER
DOI: 10.6084/m9.figshare.4585447.v2
title: RNAseq data - Capsaspora owczarzaki

description: FPKMs of Capsaspora owczarzaki<br>Sebé-Pedrós, A., Irimia, M., del Campo, J., Parra-Acero, H., Russ, C., Nusbaum, C., … Ruiz-Trillo, I. (2013). Regulated aggregative multicellularity in a close unicellular relative of metazoa. <i>eLife</i>, <i>2</i>, e01287. http://doi.org/10.7554/eLife.01287<br><br>www.multicellgenome.com
DOI: 10.6084/m9.figshare.5786439.v1
title: RHI_dataset

description: Results of Rubber Hand Illusion in 21 people with Parkinson's disease and 20 healthy controls
DOI: 10.17632/h3ps76s94y
title: Digital transformation

description: Useful information to address the issue of digital transformation both in companies and in the education sector
DOI: 10.6084/m9.figshare.12612833.v1
title: Mental Health, Sleep Quality and Quality of Life in Subjects with Multiple Health Conditions during Home Quarantine for COVID-19 Pandemic Attack: A Comparison with Healthy Subjects

description: According to the World Health Organization (WHO), the COVID-19 outbreak is a global pandemic that started at the end of November in China and then gradually spread all over the world. As neither a treatment nor vaccine has been discovered for this disease, it raises concerns among the public about the spread of infection from confirmed COVID-19 positive cases. The WHO suggests that social isolation helps to limit the growing number of cases of COVID-19, and this has also led to significant fear and anxiety related to the spread of infection in the general public. Excessive fear and apprehension about the spread of infection can lead to acute stress, anxiety, and low quality of sleep.The primary aim of this study was to test assess the psychological stress, sleep quality, and health-related quality of life (QoL) of individuals in subjects with multiple health issues during home quarantine because of caused by the COVID-19 pandemic attack. We recruited 50 subjects individuals who are have aging any history of systemic chronic health issues disease, and 50 individuals subjects with no health issues for this cross-sectional cross-sectional study. Three questionnaires were used to evaluate the Level of mental health was evaluated through the [depression anxiety stress scale (DASS-21)], sleep quality was evaluated through [Pittsburgh sleep quality index (PSQI)], and quality of life (QoL) was evaluated through a [short form of health-related questionnaire (SF-36)] of participants. Statistical analysis was carried out using with a Sstudent’s t-test, and using the Statistical Package for the Social Sciences (SPSS) software, version16. Baseline demographic characteristics were homogenous for both groups of participants. Intergroup analysis revealed statistically significant differences in mental health (p &lt; 0.001), sleep quality (p &lt; 0.001), and QoL (p &lt; 0.001) between the two groups. Our findings indicated that individuals subjects with chronic health issues exhibited higher mental health problems, lower quality of sleep and have a lower health-related (QoL) quality of health.
DOI: 10.6084/m9.figshare.28935197.v1
title: Data for Leveraging Citizen Science for Shieldtail Conservation

description: Data and code (R programming language) for <b>Leveraging Citizen Science for Shieldtail Conservation</b>This repository contains all data files and code used to carry out the analyses mentioned in Shinde et al. The code can be used to recalculate metrics and reproduce figures from the article. Please refer to the main text while using the repository and the code.Data sources:<b>GARD 1.7 Shieldtail range maps [9 species]</b> are a subset from Roll, U., & Meiri, S. (2022). GARD 1.7-Updated Global Distributions for all Terrestrial Reptiles [Dataset]. <i>Dryad</i>. published in Caetano, G. H. D. O., Chapple, D. G., Grenyer, R., Raz, T., Rosenblatt, J., Tingley, R., ... & Roll, U. (2022). Automated assessment reveals that the extinction risk of reptiles is widely underestimated across space and phylogeny. <i>PLoS Biology</i>, <i>20</i>(5), e3001544.<b>IUCN Shieldtail range maps [9 species]</b> were downloaded from the IUCN website. IUCN (2025). The IUCN Red List of Threatened Species. Version 2024-1. https://www.iucnredlist.org. Accessed on [22 March 2025].
DOI: 10.6084/m9.figshare.29005133.v1
title: Exobase temperatures at Venus, Earth, Mars, and Titan

description: Exobase temperature data used to study the exobase heating on Venus, Earth, Mars, and Titan
DOI: 10.17632/4s9nxvk7br
title: BXSB_mice_IgG_glycosylation_batch2

description: Batch 2.

The folder Batch2  contains mzXML files obtained in a  liquid chromatography-mass spectrometry (LC-MS) analysis of Fc-linked IgG N-glycosylation profiles of mouse immunoglobulin G in a BXSB mice cohort, batch 2.
First part of batch1 can be found in the following dataset: 10.17632/jygxpd7g7c.1
Second part of batch1 can be found in the following dataset: http://dx.doi.org/10.17632/kjfw7cwnxf.1
Male BXSB mice spontaneously develop an autoimmune disorder similar to systemic lupus erethematousus (SLE) which involves production of autoreactive antibodies. 
We have isolated IgG from serum sampled at 10 and 18 weeks of age in a cohort of sex-matched BXS mice, treated either with anti-CD20 specific antibody that transiently depletes B-cells during the pre-phase of the disease or with an isotype antibody (control). IgG was digested with trypsin, the glycopeptides desalted and enriched by reverse-phase solid phase extraction and analyzed on an LC-MS system. 

We observed higher abundance of sialylated IgG1 and IgG2b/IgG2c glycoforms in the male mice treated with CD20-specific antibody as compared to isotype-treated male mice,  while no major changes were observed in galactosylated IgG glycoforms between isotype and CD20-specific antibody treated male mice.

Information about glycoforms observed in the samples and corresponding m/z values of analytes can be found in the excel sheet: Supplementary Table S1.xlsx
Description of the samples could be found in the following excel sheet: Supplementary Table S2.xlsx