cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6083888.v1
title: Electronic supplementary material tables and figures from Genome-wide single nucleotide polymorphism scan suggests adaptation to urbanization in an important pollinator, the red-tailed bumblebee (<i>Bombus lapidarius</i> L.)

description: Urbanization is considered a global threat to biodiversity; the growth of cities results in an increase in impervious surfaces, soil and air pollution, fragmentation of natural vegetation and invasion of non-native species along with numerous environmental changes, including the heat island phenomenon. The combination of these effects constitutes a challenge for both the survival and persistence of many native species, while also imposing altered selective regimes. Here, using 110 314 single nucleotide polymorphisms generated by restriction site-associated DNA sequencing, we investigated the genome-wide effects of urbanization on putative neutral and adaptive genomic diversity in a major insect pollinator, <i>Bombus lapidarius</i>, collected from nine German cities and nine paired rural sites. Overall, genetic differentiation among sites was low and there was no obvious genome-wide genetic structuring, suggesting the absence of strong effects of urbanization on gene flow. We, nevertheless, identified several loci under directional selection, a subset of which was associated with urban land use, including the percentage of impervious surface, surrounding each sampling site. Overall, our results provide evidence of local adaptation to urbanization in the face of gene flow in a highly mobile insect pollinator.
DOI: 10.17044/scilifelab.28661375.v1
title: Recruitment to Retirement Workshop 2024

description: Workshop materials from the 2024 SciLifeLab Facility Forum - Recruitment to Retirement.Survey questions - contains the questions and response architecture for the pre-workshop survey administered via Google Form to workshop participants, as well as Mentimeter questions and response architecture administered during the in-person workshop.Survey data - contains de-identified aggregate responses to both the pre-workshop survey and the in-person workshop Mentimeter responses. For short text answer responses, responses were coded into the bins used in creating a graph.These questions and data were used to create the figures and article From Recruitment to Retirement: Research Infrastructure Staff Views on the Diversification of Scientific Career Paths at Universities in Sweden in 2024 (conditionally accepted at F1000)
DOI: 10.17632/r3y43cdd3x
title: Marine Debris Dataset in Coastal Areas in Indonesia

description: The dataset contains information about macro litter (>2.5 cm) in 13 locations with a total of 121 points sampling collected from 2013 to 2018 —includingTourism activities characterize the beach sites, coastal ecosystem, remote beaches included the small island, fisheries activities, and Marine Protected Area (MPA). 

The site stations are located in Seribu Islands (30 sites), Banten (17), South Java (22), Biawak Islands (9), West Papua (12) and East Nusa (29) .
DOI: 10.6084/m9.figshare.12994073.v1
title: Fish mitochondrial cytochrome b (Freshwater origin), Partial sequence

description: Identification of freshwater and marine fish species sampled from a local market based on <i>Cyto b </i>gene sequence homology
DOI: 10.6084/m9.figshare.9462446.v3
title: Depth-to-bedrock observations in China

description: This is a dataset of depth-to-bedrock observations in China. The dataset contains 6328 observations distributed all over the China.
DOI: 10.17632/47z79nw2wz
title: Death from infection among cancer patients

description: Source data for "Death from infection among cancer patients"
DOI: 10.6084/m9.figshare.21444783.v7
title: Supporting data for: The European way of West Nile Virus spread - phylogeographic pattern analysis and key drivers

description: The file folder includes the source data and R script for the main figures in the paper.
DOI: 10.17632/f48rxnrnw6
title: OCT Volume Images of Ex-Vivo Human Cochleae

description: OCT volume data in Tiff format.
DOI: 10.21942/uva.22567918.v1
title: Data and script for "A framework for post-processing bird tracks from automated tracking radar systems"

description: Dataset and post-processing script for the manuscript "A framework for post-processing bird tracks from automated tracking radar systems".
DOI: 10.6084/m9.figshare.21347721.v4
title: Carbon-water flux datasets of Eurasian meteorological stations

description: Mining carbon-water flux information from more widely distributed meteorological stations has great potential to deal with the challenge of insufficient observational data on these fluxes. We constructed a new framework to assess the transferability of Eurasian carbon-water flux simulation models (random forest model, RFM) to meteorological stations. We used a combination of the determination coefficient (R<sup>2</sup>) and Euclidean distance to evaluate the match between these models and meteorological station data. Not all meteorological stations could be matched with suitable RFM. Results showed that 85.9% and 99.1% of the meteorological stations (N=4466) satisfying the transfer condition (R<sup>2</sup> ≥ 0.5) could produce the carbon and water fluxes when using remote sensing (RS) variables in RFM construction, respectively. Without the use of RS variables, 66.8% and 98.7% of the meteorological stations (N=6849) satisfying the transfer condition (R<sup>2</sup> ≥ 0.5) could produce the carbon and water fluxes, respectively. The 4 spatio-temporal carbon-water flux datasets with quasi-observational characteristics that we generated at meteorological stations have great potential to improve the accuracy of assessments of ecosystem carbon-water dynamics at regional and global scales.
DOI: 10.6084/m9.figshare.26840470.v1
title: Supplementary Material for: Severe Nodulocystic Acne Induced by Mercury-Containing Skin-Whitening Cream: A Case Report and Call for Public Awareness

description: Introduction
Skin-whitening products, often containing mercury, are used worldwide for cosmetic purposes but pose significant health risks. Mercury, a melanotoxin, can cause severe dermatological, renal, and neurological complications.

Case Presentation
We report the case of a 27-year-old woman who developed severe nodulocystic acne due to chronic use of a mercury-containing skin-whitening cream. Treatment with isotretinoin and prednisolone led to significant improvement within three months.

Conclusion
This case underscores the need for public awareness and stricter regulatory actions to prevent mercury-related health hazards from skin-whitening products.
DOI: 10.17632/8x4vxycp54
title: Data set [Analysis data]

description: The data show the results of questionnaire responses that classify demographic results, barrier factors, and the lecturer's perception.
DOI: 10.6084/m9.figshare.6858347.v1
title: Transcriptome analysis provides insights into the gingerol biosynthesis in ginger (Zingiber officinale)

description: <b>Transcriptome analysis provides insights into the gingerol biosynthesis in ginger (<i>Zingiber officinale)</i></b>
DOI: 10.6084/m9.figshare.25283341.v5
title: Quantifying U.S. air pollution policy: How political and regional factors influence pollutant mitigation

description: This dataset contains data and code for the paper:Guoxing Zhang, Zhanglei Chen, Jiexun Li, Bin Su, Yang Gao, Lean Yu, Quantifying U.S. air pollution policy: How political and regional factors influence pollutant mitigation, <i>PNAS Nexus</i>, 2024;, pgae199, https://doi.org/10.1093/pnasnexus/pgae199Please cite the paper if you find those resources helpful.
DOI: 10.17632/8xssxknvfx
title: Roaming in Highly Excited States: The Central Atom Elimination of Triatomic Molecule Decomposition

description: Roaming in Highly Excited States: The Central Atom Elimination of Triatomic Molecule Decomposition
DOI: 10.17632/bjgf3kcpgk
title: HbH Disease in Northern Iraq, Data Set

description: This is the encrypted data of 44 HbH disease patients from northern Iraqi Kurdistan who were included in a study to analyze their disease's genetic arrangements.
DOI: 10.17632/fgxw3b8j5d
title: Energy Poverty Questionnaire

description: The dataset investigates the role of sustainable supply chain practices in alleviating energy poverty in developing countries. It was collected through a structured survey targeting stakeholders, including supply chain managers, energy providers, policymakers, and community leaders, to explore the interplay between supply chain practices, community integration, and energy poverty alleviation. The data provides empirical insights into the implementation and sustainability of renewable energy systems, focusing on critical practices such as local sourcing, logistics efficiency, community engagement, and environmental sustainability.

Key constructs were measured using a validated 5-point Likert scale and analyzed through Exploratory and Confirmatory Factor Analysis (EFA and CFA) to ensure reliability and validity. The study employs Necessary Condition Analysis (NCA) to identify essential supply chain practices that are indispensable for achieving effective energy access. The analysis highlights the minimum thresholds required for factors such as efficient logistics, regular maintenance, community involvement, and training programs to significantly impact energy poverty outcomes.

The dataset’s findings have significant implications for policy and practice, offering a robust framework to guide investments in supply chain logistics, capacity building, and community integration. By emphasizing indispensable supply chain elements and identifying critical bottlenecks, the research provides a foundation for targeted strategies to enhance the delivery and sustainability of renewable energy systems in underserved regions. This study contributes to the growing literature on sustainable supply chains by providing actionable insights into their role as catalysts for energy poverty alleviation.
DOI: 10.17632/m384hc7pc2
title: Dataset on the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks

description: This dataset provides a complete insight into the customers' perception of the Impact of CSR-Image on Customer Loyalty Creation in Indian Commercial Banks. the data were collected using a convenient sampling method from 308 customers of commercial banks. This dataset will be useful in designing CSR policies in commercial banks. further, it will be more helpful in understanding the CSR actions towards the Customer-Company identification process in the banking sectors.
DOI: 10.17632/sg3d5rkvzm
title: Data for: Exchange rate movements in Emerging Economies. Global vs Regional factors in Asia

description: The files are: - Base_TC is an Excel file corresponding to the database on nominal exchange rates used in the analysis; - Base_TCER is an Excel file corresponding to the database on real exchange rates used in the analysis; - factors is an Eviews workfile used for the estimation of VAR and ARDL models
DOI: 10.6084/m9.figshare.1590018
title: Anomaly Detection in Images With Smooth Background via Smooth-Sparse Decomposition

description: In various manufacturing applications such as steel, composites, and textile production, anomaly detection in noisy images is of special importance. Although there are several methods for image denoising and anomaly detection, most of these perform denoising and detection sequentially, which affects detection accuracy and efficiency. Additionally, the low computational speed of some of these methods is a limitation for real-time inspection. In this article, we develop a novel methodology for anomaly detection in noisy images with smooth backgrounds. The proposed method, named smooth-sparse decomposition, exploits regularized high-dimensional regression to decompose an image and separate anomalous regions by solving a large-scale optimization problem. To enable the proposed method for real-time implementation, a fast algorithm for solving the optimization model is proposed. Using simulations and a case study, we evaluate the performance of the proposed method and compare it with existing methods. Numerical results demonstrate the superiority of the proposed method in terms of the detection accuracy as well as computation time. This article has supplementary materials that includes all the technical details, proofs, MATLAB codes, and simulated images used in the article.
DOI: 10.6084/m9.figshare.28726595.v1
title: FemaleFinalGeneList_VlnPlot.pdf

description: Violin plot to support cluster generation for snRNAseq of female mouse kidneys
DOI: 10.6084/m9.figshare.7172885.v4
title: suppData1-OGs.txt | Massive Lateral Gene Transfer of genes involved in carbohydrate metabolism on the Contribution of Lateral Gene Transfer to the evolution of the eukaryotic fungus Piromyces sp. strain E2

description: Lateral Gene Transfer candidate set: Hydrogenosomal protein prediction. Set of predicted hydrogenosomal proteins that are candidates to have been horizontally transferred from Bacteria to the eukaryote Piromyces sp.<br> NOTE | This data file is also present in the <strong>Prok2EukLateralGeneTransfer</strong> data record (to be together with the other relavant files from the same publication).
DOI: 10.6084/m9.figshare.9744974.v1
title: Spectral library from TripleTOF 5600 instrument for inputing to Spectronaut Software

description: Spectral library from TripleTOF 5600 instrument for inputing to Spectronaut Software
DOI: 10.6084/m9.figshare.1552020.v1
title: Glass Dataset

description: Glass Dataset
DOI: 10.6084/m9.figshare.22032167.v1
title: Enformer Predicted Tracks for Fine-mapped Variants

description: This large compressed object contains eight numpy files reporting 5,313 Enformer predicted tracks for about 22,000 cis fine-mapped variants on GEUVADIS gene expression phenotypes (https://www.nature.com/articles/nature12531). Track predictions are made based on providing the Enformer (https://www.nature.com/articles/s41592-021-01252-x) with sequences centered at the gene Transcription Start Site.
DOI: 10.6084/m9.figshare.25011140.v1
title: Detecting and recognizing characters in Greek papyri with YOLOv8, DeiT and SimCLR

description: This dataset describes the prediction outputs of the approach by Turnbull and Mannix (2024) to automate the transcription of scanned papyri fragments, on more than 4,500 images from the Oxyrhynchus Papyri.
DOI: 10.17632/8rgfbsnvpx
title: Zazania Image Dataset

description: The Zizania Image Dataset consisted of high quality and inferior quality Zazinia. Due to my account of the Mendeley Data only has 10GB storage space. We resize every image to 500*500 pixel. The quantity of high quality images is 2648. The quantity of inferior quality images is 2252.
DOI: 10.17632/c2b8mj2hsf
title: Optimizing Semantic Deep Forest for Tweet Topic Classification

description: The dataset includes: Dataset_1: Is a set of English labeled tweets as poltical or apolitical (Our manually labeled tweets + Weakly labeled tweets). Dataset_2: Is a set of English labeled tweets as discrimination or non discrimination published by [1] (Manually labeled tweets+ Weakly labeled tweets). Dataset_3: Is a set of Portuguese lableled tweets as political or apolitical published by [2] (Manually labeled tweets + Weakly labeled tweets). Please Read ---Read me---.txt files that have a description for each dataset. The files in the dataset includes the tweet content and their correponding class topic. References: [1] S. Yuan, X. Wu, Y. Xiang, Incorporating pre-training in long short-termmemory networks for tweet classification, Social Network Analysis and Mining 8 (1) (2018) 52. doi:10.1007/s13278-018-0530-1. [2] B. de Sousa Pereira Amorim, A. L. F. Alves, M. G. de Oliveira,C. de Souza Baptista, Using supervised classification to detect political tweets with political content, in: Proceedings of the 24th Brazil-675ian Symposium on Multimedia and the Web, ACM, 2018, pp. 245–252. doi:10.1145/3243082.3243113.
DOI: 10.6084/m9.figshare.25448269.v1
title: Supplement materials for Clinicopathological and Molecular Profile of Sellar Neurocytoma

description: To investigate the clinical features, imaging characteristics and molecular profile of Sellar neurocytoma (SN).
DOI: 10.6084/m9.figshare.96391.v1
title: life cycle of social network

description: Currently, social network owns the hottest topic in people’s life. The real system belongs to the complex physics model and data-mining area. Social network, like facebook.com, myspace.com and twitter.com, is a real-time complex system. Author tries to introduce a model [1] to predict the life cycle of the social network. A social network is a social structure made up of a set of actors (such as individuals or organizations) and the dyadic ties between these actors. The social network perspective provides a clear way of analyzing the structure of whole social entities. The study of these structures uses social network analysis to identify local and global patterns, locate influential entities, and examine network dynamics.
DOI: 10.17632/d8ycmh86zt
title: Reference of model risk management

description: This is a list of all relevant studies used in my master thesis, entitled "Model Risk Management in the Era of Artificial Intelligence".
DOI: 10.17632/g36zrks68z
title: Data Related to the Rwanda Quality Basic Education for Human Capital Development Project Impact Assessment: Upper primary and lower secondary Teachers’ performance and Pedagogical Beliefs in Mathematics and Science Cohort II

description: The Rwanda Quality Basic Education for Human Capital Development (RQBEHCD) is a World Bank Group financed project through the government of Rwanda to support Mathematics and Science teachers from upper primary and lower secondary schools. The project was confirmed in 2019 and initiated in 2020. The dataset deposited here comprises two types of data; (1) teacher performance scores per subject taught [Math (for both primary and secondary school teachers), Physics, Chemistry, Biology taught in secondary, and Science and Elementary Technology (SET) taught in upper primary school], (2) teacher belief scores. The data were collected before and after a continuous profession development (CPD) training program of five months starting from March to July 2023. The training program comprised four channels that are ICT integration in teaching math and science, content knowledge (SCK), Math and Science laboratory activities, and innovative pedagogy. The data are collected from seven districts of Rwanda that were involved in the second cohort of training (2022-2023).
DOI: 10.17632/hjc2dc4d2w
title: Wireless Sensor Dataset: Configuration and Properties

description: This dataset provides a comprehensive view of the configuration and properties of each wireless sensor, making it useful for network simulation, analysis, and optimization tasks. It is created using NS 14 version, three case scenarios with 64, 100, and 144 sensors are included.
DOI: 10.6084/m9.figshare.13204265.v1
title: AllStages_AllNuclei_obj.Rdata

description: The R object for the processed single nuclei RNA-seq data from "Single nuclei RNA-seq of the mouse placental labyrinth" containing the merged datasets from E9.5, E10.5, E12.5, E14.5 shown in Figure 1.<br>
DOI: 10.6084/m9.figshare.24132267.v1
title: Dataset - Computed Entropy Spectra for Grain Boundary Segregation in Polycrystals

description: Grain boundary segregation entropy database from embedded atom method potentials.
DOI: 10.6084/m9.figshare.27730617.v1
title: Obumneme Maduka Onyia Data

description: In this study, phytochemicals and mineral profiling, and the anti-inflammatory potential of the n-hexane leaf fraction of <i>Irvingia wombolu</i> (NHLFIW) were performed with phospholipase A<sub>2 </sub>and formalin-induced inflammation in rats.Thirty total of 30 rats (Ratus ratus) of either sex were housed in the Department of Biochemistry Animal House at the University of Nigeria, Nsukka. They were housed in cages with five rats per cage. One week before the start of the experiment, the rats were housed on a regular diet and water schedule and were acclimated to a 12-hour light and dark cycle. This research was approved by the University of Nigeria, Nsukka's, Biological Sciences Faculty Ethics and Biosafety Committee (UNN/FBS/PhD/18/8925)
DOI: 10.6084/m9.figshare.28112876.v1
title: Raw Data from Bioassays and R Code for Statistical Analyses in Manuscript Submitted to the <i>Journal of Chemical Ecology</i>

description: In nature, organisms are exposed to scents and tastes composed of multiple chemicals rather than single chemicals. The ability to sense and correctly identify different chemicals within these complex mixtures is essential for optimized behavior. However, when minor variations in chemical structure do not significantly impact the organisms, a generalized response to similar chemicals without discrimination might be more adaptive. In this study, we investigated the ability of ants to discriminate among methyl-branched alkanes. Ants recognize each other using cuticular hydrocarbons (CHCs), typically composed of a mixture of <i>n</i>-alkanes, <i>n</i>-alkenes, and methyl-branched alkanes. <i>Tetramorium tsushimae</i> ants have been shown to use the methylalkane fraction of CHCs to identify their mutualistic partners. We measured the behavioral responses of ant workers to dummies coated with various hydrocarbons, after presenting them with dummies treated with methylalkanes and a sucrose solution as a reward. The results showed that ants previously exposed to 2-methyltetracosane (2-MeC24) decreased their aggressiveness not only toward 2-MeC24 but also toward 2-MeC26, despite the difference in the chain lengths. Conversely, ants exposed to 13-MeC27 maintained high aggressiveness toward 5-MeC27, which has a different position of the methyl branch. These findings suggest that <i>T. tsushimae</i> ants can differentiate between methylalkanes with different methyl branch positions but are less able to discriminate between those with the same methyl branch position but different chain lengths.
DOI: 10.17632/6z6fjw8mhk
title: Raw data for " Using layered resin structure to model the interlaminar region of interleaved FRPs: evolution of gradient structure formed by layered resin structure induced by CNTs"

description: Raw data of micro-FTIR tests for " Using layered resin structure to model the interlaminar region of interleaved FRPs: evolution of gradient structure formed by layered resin structure induced by CNTs"
DOI: 10.6084/m9.figshare.27103864.v1
title: Brain fMRI data comparing pain responses to noxious heat in fibromyalgia syndrome (FMS)

description: Functional MRI data from a group of females with fibromyalgia syndrome (FMS). Corresponding data from a healthy control group is provided in separate collection for comparison. The data and method are described in Warren et al. Medical Research Archives, 2024, https://doi.org/10.18103/mra.v12i3.5206 . Data are original (unprocessed) in NIfTI format, with multiple runs per participant, and are organized by participant. The data structure and corresponding behavioral data, and the stimulation paradigm, are defined in an Excel file. The structure of the database file (Excel file) are in the form used with the Pantheon analysis software. Pantheon is available on GitHub ( https://github.com/stromanp/pantheon-fMRI )