cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/zv6fdn2ysv
title: Social media usage in Qatar

description: The dataset examines how social media influencers' characteristics impact followers' parasocial relationship. A 5 points Likert scale survey containing 35 items was used to measure seven concepts (Homophily, Popularity, Leverage, Fashionable, Affinity, Parasocial relationship, WOM, and purchase intentions). The dataset contains 574 valid responses gathered from Instagram users in Qatar during the winter of 2020.
DOI: 10.6084/m9.figshare.12971075.v2
title: 20-CR Surge Reconstruction

description: A daily maximum storm surge reconstruction for 882 tide gauge locations around the globe. The surge reconstruction is based on the 20-CR atmospheric reanalysis product
DOI: 10.6084/m9.figshare.28122221.v1
title: Genome assembly and annotation files of the sea cucumber (Colochirus anceps)

description: Chromosome-level genome assembly and annotation files of the sea cucumber (Colochirus anceps)
DOI: 10.6084/m9.figshare.7314728.v1
title: All mtDNA raw contigs

description: All mtDNA raw contigs
DOI: 10.17632/hxvvdnz4pd
title: Newspaper Reference Data on Development and Ecological Change in Tanzania, 1965-1985

description: This dataset contains reference information for newspaper articles on development policies and planned sustainability communities instituted in Tanzania between 1965 to 1985. The dataset also contains quantitative content analysis data related to the frequency and distribution of articles across key concepts and ideologies about societal reorganization, and the political, ecological, and economic transformations that endured in Tanzania’s immediate post-independence era. The dataset does not provide the actual articles themselves as the historical articles are copyrighted material. Creating a dataset of newspaper reference information is essential for various research and practical purposes. Particularly as it relates to Tanzania’s Ujamaa development policy during the mid-1960s to mid-1980s, the dataset offers insights into historical, social, and political contexts that enable researchers to track the evolution of news coverage and public discourse over time. This dataset further supports the analysis of the evolution of media perspective on the Ujamaa policies and communities. This allows for the identification of trends and patterns in public discourse on topics of interest or historical significance. The dataset also contains reference information on news articles that cover inter-state conflicts, tribal politics, and social, economic, environmental, and diplomatic issues related to Tanzania at that time. This dataset could help researchers quickly locate news articles when searching the archives of news companies or major third-party digital archives/repositories such as ProQuest, which helps academic research and media literacy education. It can also be used to develop search algorithms and natural language processing models, enhancing information retrieval and analysis in various digital archives. The dataset also provides analyzed data from a content analysis aimed at deducing eco-conscious best practices (or lessons) on how to approach present and future green transitions and sustainability in Africa, using the Ujamaa development experiment as a case study. This contributes to a further understanding through public and news-media history of Tanzania’s Ujamaa development policy and its implications for future sustainable development agendas in Africa. 

The Newspaper_Reference_Data.zip consists of the following files: 

1) Newspaper_Reference_Data_Master_2024.xlsx: provides all the reference information for newspaper articles and coding, as well as the input data variables and analysis results for the archival search and related content analysis. 

2) Data_Description_2024.pdf: describes the data, rationale, and value of the newspaper sources referenced in the dataset.

3) Methodology_Description_2024.pdf: describes the quantitative content analysis method conducted on the newspaper sources.
DOI: 10.6084/m9.figshare.19436120.v1
title: Supplementary File 1 from Bioinformatic prediction of putative metallothioneins in non-ciliate protists

description: Sequence alignment of the putative metallothioneins found in this study
DOI: 10.6084/m9.figshare.14534784.v1
title: Hypoxylaceae BGCs

description: biosynthetic gene cluster identified from 13 fungal species of the family Hypoxylaceae and Xylaria hypoxylon
DOI: 10.6084/m9.figshare.14617706.v1
title: Epigenome-wide scan identifies differentially methylated regions for lung cancer using pre-diagnostic peripheral blood

description: Background: DNA methylation markers have been associated with lung cancer risk and may identify aetiologically relevant genomic regions, or alternatively, be markers of disease risk factors or biological processes associated with disease development. Methods: In a nested case–control study, we measured blood leukocyte DNA methylation levels in pre-diagnostic samples collected from 430 participants (208 cases; 222 controls) in the 1989 CLUE II cohort. We compared DNA methylation levels with case/control status to identify novel genomic regions, both single CpG sites and differentially methylated regions (DMRs), while controlling for known DNA methylation changes associated with smoking using a previously described pack-years-based smoking methylation score. Stratification analyses were conducted over time from blood draw to diagnosis, histology, and smoking status. Results: We identified 16 single CpG sites and 40 DMRs significantly associated with lung cancer risk (q Conclusion: The single CpG sites and DMRs that we identified represented significant measurable differences in lung cancer risk, providing potential biomarkers for lung cancer risk stratification. Future studies will need to examine whether these regions are causally related to lung cancer.
DOI: 10.6084/m9.figshare.5216545.v1
title: Supplementary Material for: Second- to Third-Trimester Longitudinal Growth Assessment for the Prediction of Largeness for Gestational Age and Macrosomia in an Unselected Population

description: <b><i>Background:</i></b> Prenatal detection of excessive growth remains inaccurate. Most strategies rely on a single cross-sectional evaluation of fetal size during the third trimester. <b><i>Objectives:</i></b> To compare second- to third-trimester longitudinal growth assessment with cross-sectional evaluation at the third trimester in the prediction of largeness for gestational age (LGA) and macrosomia. <b><i>Methods:</i></b> A cohort of 2,696 unselected singleton pregnancies scanned at 21 ± 2 and 32 ± 2 weeks was created. Abdominal circumference (AC) measurements were transformed to <i>z</i> values according to the INTERGROWTH-21st standards. Longitudinal growth assessment was performed by calculation of <i>z</i> velocity and conditional growth. Both methods were compared to cross-sectional assessment at 32 ± 2 weeks. Predictive performance for LGA and macrosomia was determined by receiver operating characteristic curve analysis. <b><i>Result:</i></b> A total of 188 (7%) newborns qualified for LGA and 182 (6.8%) for macrosomia. The areas under the curve (AUCs) for 32-week AC <i>z</i> score, AC <i>z</i> velocity, and conditional AC were 0.78, 0.61, and 0.55, respectively, for the prediction of LGA, and 0.75, 0.61, and 0.55, respectively, for the prediction of macrosomia. Both AUCs of AC <i>z</i> velocity and conditional AC were significantly lower (<i>p</i> &lt; 0.001) than the AUC of cross-sectional AC <i>z</i> scores. <b><i>Conclusions:</i></b> In the general population, second- to third-trimester longitudinal assessment of fetal growth is inferior to third-trimester cross-sectional evaluation of size in the prediction of LGA and macrosomia.
DOI: 10.17632/4y5x75jtft
title: Comparative assessment of genotyping-by-sequencing and whole-exome sequencing for estimating genetic diversity and geographic structure in natural jaguar populations

description: Abstract
Biologists currently have an assortment of high-throughput sequencing techniques allowing the study of population dynamics in increasing detail. The utility of genetic estimates depends on their ability to recover meaningful approximations while filtering out noise produced by artifacts. In this study, we empirically compared the congruence of two reduced representation approaches (genotyping-by-sequencing, GBS, and whole-exome sequencing, WES) in estimating genetic diversity and population structure using SNP markers typed in a small number of wild jaguar (Panthera onca) samples from South America. Due to its targeted nature, WES allowed for a more straightforward reconstruction of loci compared to GBS, facilitating the identification of true polymorphisms across individuals. We therefore used WES-derived metrics as a benchmark against which GBS-derived indicators were compared, adjusting parameters for locus assembly and SNP filtering in the latter. We observed significant variation in SNP call rates across samples in GBS datasets, leading to a recurrent miscalling of heterozygous sites. This issue was further amplified by small sample sizes, ultimately impacting the consistency of summary statistics between genotyping methods. Recognizing that the genetic markers obtained from GBS and WES are intrinsically different due to varying evolutionary pressures, particularly selection, we consider that our empirical comparison offers valuable insights and highlights critical considerations for estimating population genetic attributes using reduced representation datasets. Our results emphasize the critical need for careful evaluation of missing data and stringent filtering to achieve reliable estimates of genetic diversity and differentiation in elusive wildlife species.

Description
This dataset comprises seven subsets of SNPs generated using the populations module in Stacks.

Keywords genetic diversity; genotyping-by-sequencing; exome capture; population structure; reduced-
representation genome sequencing; single nucleotide polymorphism
DOI: 10.17632/y53kbt9jss
title: RosePixels- The Dutch Rose Petals Classification Dataset

description: The RosePixels dataset is a detailed collection of high-quality images featuring Dutch rose petals, gathered straight from the Talegaon-Maval region—a place famous for growing these beautiful flowers. Unlike other datasets that tend to focus on just a few aspects, this one offers a broader view, capturing a wide range of petal colors and their health conditions. The dataset comprises images of petals in shades like red, yellow, pink, purple, white, orange, plus stunning bi-color and multi-color varieties. On top of that, it sorts them by health—whether they’re fresh, dry, or diseased. 
In total, RosePixels includes 1,906 images. Breaking it down by color, there are 298 red, 210 yellow, 218 white, 166 pink, 220 purple, 148 orange, 185 bi-color, and 135 multi-color petals. As for health, 913 are fresh, 667 are dry, and 326 are diseased. All these images were captured in a controlled setting, and each one has been pre-processed with a unique ID—like "FRESH_RED_001," where "FRESH" shows the petal’s condition, "RED" is the color, and "001" is a three-digit code to keep everything organized.
This dataset is perfect for training machine learning models, especially for quality checks or projects tied to agriculture, perfumes, edible products, flavors, or even cosmetics. It’s a treasure trove for anyone looking to explore the world of Dutch roses!
DOI: 10.25420/britishmuseum.26166184.v1
title: Interview with Samuel Rufuharuziviishe Mugabe

description: Shona transcript version of the interview with Samuel Rufuharuziviishe Mugabe, a village head and local community elder, knowledgeable about the oral history of Great Zimbabwe and the safegaurding of its spiritual values
DOI: 10.17632/yjydjzww2j
title: Pineapple classification images and measured properties

description: Pineapple classification images and measured properties
DOI: 10.6084/m9.figshare.5721079.v1
title: Understorey biomass and cover data for the EucFACE experiment between 20140801 - 20170331

description: The four files (.csv) contain data on understorey cover and biomass estimated at EucFACE between the 1st of August 2014 and the 31st of March 2017. Data was collected using time lapse photography (% cover) and stereo imagery (biomass). Data collection is ongoing. The data contained in the zip file was used in the associated manuscript. Further data information can be found in the embedded readme file.
DOI: 10.6084/m9.figshare.5241556.v1
title: Erratum: Down Syndrome: Genes, Model Systems, and Progress towards Pharmacotherapies and Clinical Trials for Cognitive Deficits

description: Down syndrome (DS) is caused by an extra copy of all or part of the long arm of human chromosome 21 (HSA21). While the complete phenotype is both complex, involving most organs and organ systems, and variable in severity among individuals, intellectual disability (ID) is seen in all people with DS and may have the most significant impact on quality of life. Because the worldwide incidence of DS remains at approximately 1 in 1,000 live births, DS is the most common genetic cause of ID. In recent years, there have been important advances in our understanding of the functions of genes encoded by HSA21 and in the number and utility of in vitro and in vivo systems for modeling DS. Of particular importance, several pharmacological treatments have been shown to rescue learning and memory deficits in one mouse model of DS, the Ts65Dn. Because adult mice were used in the majority of these experiments, there is considerable interest in extending the studies to human clinical trials, and a number of trials have been completed, are in progress or are being planned. A recent conference brought together researchers with a diverse array of expertise and interests to discuss (1) the functions of HSA21 genes with relevance to ID in DS, (2) the utility of model systems including <i>Caenorhabditis elegans</i>, zebrafish and mouse, as well as human neural stem cells and induced pluripotent stems cells, for studies relevant to ID in DS, (3) outcome measures used in pharmacological treatment of mouse models of DS and (4) outcome measures suitable for clinical trials for cognition in adults and children with DS.
DOI: 10.17632/8gy6g245sj
title: Supplementary Material 1 "Compliance details between the tree-ring chronology, the storm archives and the reanalysis data" of the paper Pouzet et al. in CATENA "Multi-proxy documentation of past storm events in a mid-latitude coastal environment"

description: This Excel sheet reefers to the Supplementary Material 1 of the paper Pouzet et al. "Multi-proxy documentation of past storm events in a mid-latitude coastal environment" actually (March 2025) under review in CATENA. It show the compliance between tree-ring and historical chronologies, with the support of reanalysis or meteorological data to document past storm events in the Pointe d'Arcay dune stand mid-latitude coastal environment.
DOI: 10.6084/m9.figshare.19233795.v3
title: supplementary table and raw images

description: <strong>1.supplementary table:Sequential examination of morphologic, cytogenetic and peripheral blood cell count in the patient.</strong> <strong>2.All microscopic images</strong> <br>
DOI: 10.6084/m9.figshare.27984506.v2
title: Freshness Score Analysis from Different Perspectives in Maven Ecosystem

description: The freshness score is a critical metric in dependency management. It reflects how recently a dependency has been updated relative to its latest available version. We try to focus on two research questions: i) Do projects with a large number of dependencies tend to have a higher “outdated time” or missed releases compared to those with fewer dependencies? In other words, is there any relationship or pattern between dependency counts and freshness?ii) To what extent are the dependencies in the latest software releases outdated?The files related to the first research question are inside the RQ1 folder, and those related to the second are inside the RQ2 folder.
DOI: 10.6084/m9.figshare.16815130.v1
title: Longitudinal dataset

description: Final longitudinal data used in analyses in the forthcoming publication<br>Sophie A. O’Brien, D. Matthias Dehling and Jason M. Tylianakis. The recovery of functional diversity with restoration. Ecology
DOI: 10.6084/m9.figshare.21362493.v1
title: SouthTRAC fligth 08. HALO-ALIMA data

description: Fligth number 8 during SouthTRAC campain. HALO (High Altitude and Long Range Research Aircraft) and ALIMA (airbone LIDAR)
DOI: 10.17632/9b4kkwf5g3
title: Data for: Life Cycle Assessment (LCA)-based tools for the eco-design of wooden furniture

description: Supplementary Material for the paper "Life Cycle Assessment (LCA)-based tools for the eco-design of wooden furniture". The ILCD file can be uploaded on LCA software, where an Ecoinvent database is available. This tool aims to support LCA of wooden furniture, as detailed in the paper.
DOI: 10.6084/m9.figshare.12006312.v1
title: Data to accompany "Medial knee cartilage is unlikely to withstand a lifetime of running without positive adaptation: a theoretical biomechanical model of failure phenomena"

description: Data and Matlab codes to accompany the manuscript. The necessary input gait data for running the codes are contained in the "20180723" directory.
DOI: 10.6084/m9.figshare.28943930.v2
title: Sequence information and Microbial community structure

description: Table 2 Table 2 describes 16S rRNA sequencing data quality across different cropping system.Figures 1A and 1B describe the bacteria and fungi diversity Phylum taxonomic classification under different cropping systems <br>
DOI: 10.6084/m9.figshare.27691290.v3
title: A large fraction of soil microbial taxa is sensitive to experimental warming

description: Fighsare for GCB manuscript
DOI: 10.6084/m9.figshare.28918607.v2
title: STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field

description: A multi-source integrated dataset covering science, technology, and industry information, named as STInt (<b>S</b>cience-<b>T</b>echnology-<b>I</b>ndustry i<b>nt</b>eractions) dataset is developed. This dataset will further promote systematic understanding of the linkages among science, technology, and industry.
DOI: 10.6084/m9.figshare.6561845.v1
title: dataset_Longo2015.zip

description: Subjective usability (System Usability Scale) and Subjective Mental Workload (Nasa-TLX and Workload Profile) of web-based tasks and interfaces
DOI: 10.17632/tzh9b7f2jz
title: Performance Results of Plant Disease Classification Pretrained Models

description: This dataset contains the performance results of five pre-trained deep learning models—EfficientNetV2B0, ResNet50, InceptionV3, DenseNet121, and VGG16—evaluated for plant disease classification tasks. The dataset includes metrics from experiments conducted on both training and testing datasets, focusing on key performance indicators such as accuracy, precision, recall, F1-score, and confusion matrices. The aim is to provide a comprehensive comparison of these models' capabilities for detecting and classifying plant diseases.
DOI: 10.6084/m9.figshare.19534810.v1
title: data for IRGPI

description: 1.从 GEO 数据库 (https://www.ncbi.nlm.nih.gov/geo/) 下载了 250 例 CRC 病例的生存和转录数据。使用了迈阿密大学莫菲特癌症研究中心于 2020 年 11 月上传的成绩单数据集 GSE161158 (10)。免疫相关基因列表从 ImmPort ( https://www.immport.org/home ) 和 Innate DB (https://www.innatedb.ca/) 下载。KEGG（http://www.gsea-msigdb.org/gsea/index.jsp）基因组和所有基因本体（GO）基因组被用作基因符号。从 cBioPortal (http://www.cbioportal.org/) 下载基因突变信息。 <br>
DOI: 10.17632/3tdp9h8hds
title: Power, corruption, and cultural orientation

description: These are materials and original data of the manuscript: Individualistic Powerfulness and Collectivistic Powerlessness Corrupts: How Power and Cultural Orientation Influence Corruption.
DOI: 10.17632/gpk4zn73xn
title: uCRM: undeflected Common Research Model

description: The zip files below contain the aerodynamics and structural geometries, meshes, and other data files for two open models for high-fidelity wing aerostructural studies. uCRM-9: A flexible version of NASA’s Common Research Model configuration (https://commonresearchmodel.larc.nasa.gov/) uCRM-13.5: A higher aspect ratio version for very flexible wing design studies A full explanation of how these models were developed can be found in reference [1]. If you use the model, please cite the paper. The goal of these models is to provide a common benchmark for aerostructural analysis and design optimization of transonic flexible wing aircraft. These models were already used in various studies [2-5]. The methods used in these optimizations were originally described in reference [6]. The flight conditions are actual flight conditions and not the CRM wind tunnel conditions, so the Reynolds number differs. The conditions are: M = 0.85 CL = 0.5 Altitude = 37,000 ft uCRM-9: Re = 43,130,072 (Re length 7.01 m) uCRM-13.5: Re = 35,524,500 (Re length 5.77m) The files include: Geometry files for the wing-body-tail configuration of each aircraft (IGES/TIN) Aerodynamic mesh files for the wing-body-tail configuration of each aircraft, both in multi-block and overset format (CGNS) Structural mesh files for the aluminum wingbox structure including material properties based on a smeared stiffness blade-stiffened panel approach, external control surface and engine masses, and aerodynamic loads for the nominal cruise (BDF) Reference solutions using the MACH framework and NASTRAN All units are in SI (kg/m/s) References: 1. Brooks TR, Kenway GKW, Martins JRRA. Benchmark Aerostructural Models for the Study of Transonic Aircraft Wings. AIAA Journal. 2018 ;56(7):2840-–2855. 2. Kenway GKW, Martins JRRA. Multipoint High-fidelity Aerostructural Optimization of a Transport Aircraft Configuration. Journal of Aircraft. 2014 ;51(1):144–160. 3. Burdette DA, Martins JRRA. Design of a Transonic Wing with an Adaptive Morphing Trailing Edge via Aerostructural Optimization. Aerospace Science and Technology. 2018 ;81:192–203. 4. Burdette DA, Martins JRRA. Impact of Morphing Trailing Edge on Mission Performance for the Common Research Model. Journal of Aircraft. 2019 ;56:369–384. 5. Brooks TR, Martins JRRA, Kennedy GJ. High-fidelity Aerostructural Optimization of Tow-steered Composite Wings. Journal of Fluids and Structures. 2019 . 6. Kenway GKW, Kennedy GJ, Martins JRRA. Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations. AIAA Journal. 2014 ;52(5):935–951.
DOI: 10.6084/m9.figshare.3512090.v1
title: confusion-2014-03-02.tbz2

description: Results from the Great Language Game, compiled by Lars Yencken as of 3/2/2014. It is used in the following publication:<br><br>Skirgard, Roberts & Yencken (2016) "Why are some languages confused for others? Investigating data from the Great Language Game", PLOS ONE.<br>
DOI: 10.17632/2tsnczd3rv
title: Supplementary Material - Graphic

description: Note: (1) Box plot indicates the lower and upper quartiles of the variable being plotted against a scale. The median is represented by a line subdividing the box, whose length represents the interquartile range (IQR). Lines are drawn to span data points within 1.5 IQR of the nearer quartile: one line extends to include all data points within 1.5 IQR of the upper quartile and stops at the largest such value, while the other extends to include all data within 1.5 IQR of the lower quartile and stops at the smallest such value. Any data points beyond the lines (outliers) are shown individually.
DOI: 10.6084/m9.figshare.25922440.v1
title: Climate anxiety

description: Dateset of polish young adults sample