cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.117.v1
title: India Africa Asia HGDP HapMap frappe K15

description: These are the results of a structure analysis performed by FRAPPE, with default settings and K=15, on a combined dataset consisting in 3146 autosomal SNPs for 4025 individuals from 167 populations.Each line corresponds to an individual.The first column is the population identifier, the second column is the individual identifier, the last columns are the proportions of the different ancestry classes determined by FRAPP for the individual.The analyzed data consists in genome-wide SNPs that were obtained from 5 different sources, keeping the SNPs common to all 5 sources.
DOI: 10.6084/m9.figshare.22118468.v2
title: How good is TanDEM-X 50 m Forest/Non-Forest Map? Product Validation using Temporally Corrected Geo-Browser Supplied Imagery through Collect Earth

description: TanDEM-X Forest/Non-Forest (FNF) map(s) have been one such data focusing on the status of global forest coverage, which has played an essential role in combating climate change. Although the producers have carried out verification and comparison analyses, the need for accuracy assessments in a broader sense creates uncertainties for the users to approve the new data. For this purpose, TanDEM-X 50 m FNF maps were exclusively examined visually through 66,000 test grids within 30 geocells selected from temperate, boreal, and tropical forest zones. Thus, it was aimed to provide product accuracy utilizing visual inspections to the end users of TanDEM-X FNF maps. In addition, Collect Earth (CE) software was used to evaluate the dataset visually, and its advantages or disadvantages were compared with similarly designed studies. Consequently, even though the producers’ data sets were found to have an accuracy of around 85 percent, it was observed that there were some issues, especially in the definition of the “non-forest” class. CE software was found to be helpful in such studies. However, the dependence of the analyses on geo-browser supplied imagery had some limitations in estimating the accuracy of a new dataset.
DOI: 10.6084/m9.figshare.26039518.v3
title: ChronoCTI: Mining Knowledge Graph of Temporal Relations among Cyberattack Actions in the proceedings of International Conference on Data Mining 2024

description: Cyberthreat intelligence (CTI) reports on past cyberattacks describe the sequence of actions of attackers in terms of time. The sequence contains temporal relations among attack actions, such as \textit{a malware is first downloaded and then executed}. Information related to temporal relations enables cybersecurity practitioners to investigate past cyberattack incidents and analyze attackers' behavior. However, cybersecurity practitioners must extract such information automatically, in a structured manner, through a common vocabulary to reduce human effort and enable sharing and collaboration. \textit{The goal of this paper is to aid security practitioners in proactive defense against attacks by automatic information extraction of temporal relations among attack actions from cyberthreat intelligence reports}. We propose \textbf{ChronoCTI}, an automated pipeline for extracting temporal relations among attack actions from CTI reports. The attack actions are represented as MITRE ATT\&CK techniques, and the relations are represented as a knowledge graph. To construct \textbf{ChronoCTI}, we build a ground truth dataset of temporal relations and apply large language models, natural language processing, and machine learning techniques. \textbf{ChronoCTI} demonstrates higher precision but lower recall performance on a real-world dataset of 94 CTI reports. \textbf{ChronoCTI} achieves macro precision, recall, and F1 scores of 0.75, 0.46, and 0.54, respectively. ChronoCTI aids practitioners in analyzing large volumes of CTI reports, thinking like attackers, and knowing what malicious actions are likely to happen next, which enables the practitioners to assess imminent threats and strengthen their cybersecurity readiness.<br><br>
DOI: 10.6084/m9.figshare.28711058.v1
title: Comparative Genomic Analysis of Coronaviruses Across 2003–2025: Insights into CpG Dynamics and Mutation Profiles Relative to Wuhan-Hu-1 (NC_045512)

description: This project analyzes the genomic features of coronaviruses, focusing on CpG dynamics and mutation profiles relative to the reference genome Wuhan-Hu-1 (NC_045512). Key findings include:CpG Analysis : Sliding window analysis was performed to calculate CpG counts and observed/expected (O/E) ratios across the genomes of multiple coronaviruses.Mutation Profiles : Sequences were aligned using MAFFT, and mutations relative to Wuhan-Hu-1 were identified.Visualization : Bar charts and line plots were generated to summarize CpG counts, O/E ratios, and mutation distributions.Dataset Includes:Combined FASTA file (`combined_sequences.fasta`) containing sequences from 11 coronaviruses.Aligned sequences (`aligned_sequences.fasta`) generated using MAFFT.Mutation analysis results (`mutations_analysis.txt`) showing mutations relative to Wuhan-Hu-1.- Visualizations:Bar chart showing the number of mutations per genome.Scripts used for converting GenBank files to FASTA, aligning sequences, identifying mutations, and generating visualizations.Input GenBank files.Methods:1. Converted GenBank files to FASTA format using Biopython.2. Aligned sequences using MAFFT.3. Identified mutations relative to Wuhan-Hu-1 using a custom Python script.4. Generated visualizations using Matplotlib.<br>Implications:This work contributes to understanding the genomic architecture and evolutionary relationships of coronaviruses. The findings align with broader trends observed in coronavirus genomics, highlighting shared mechanisms of CpG depletion and mutation patterns.<br>Published on Figshare:<br>
DOI: 10.6084/m9.figshare.28976774.v1
title: anti-anxiety-memory-test

description: ContextAn experiment on the effects of anti-anxiety medicine on memory recall when being primed with happy or sad memories. The participants were done on novel Islanders whom mimic real-life humans in response to external factors.Drugs of interest (known-as) [Dosage 1, 2, 3]:A - Alprazolam (Xanax, Long-term) [1mg/3mg/5mg]T - Triazolam (Halcion, Short-term) [0.25mg/0.5mg/0.75mg]S- Sugar Tablet (Placebo) [1 tab/2tabs/3tabs]*Dosages follow a 1:1 ratio to ensure validity *Happy or Sad memories were primed 10 minutes prior to testing *Participants tested every day for 1 week to mimic addictionBuilding the Case: Obstructive effects of Benzodiazepines (Anti-Anxiety Medicine):Long term adverse effects on Long Term Potentiation of synapses, metacognition and memory recall ability http://www.jstor.org/stable/43854146Happy Memories:research shown positive memories to have a deeper and greater volume of striatum representation under an fMRI https://www.sciencedirect.com/science/article/pii/S0896627314008484Sad Memories:research shown sad memories invokes better memory recall for evolutionary purpose whereas, happy memories are more susceptible to false memories http://www.jstor.org/stable/40064315<b>Participants</b> - all genders above 25+ years old to ensure a fully developed pre-frontal cortex, a region responsible for higher level cognition and memory recall.ContentFile contains information on participants drug treatment information along with their test scores.AcknowledgementsExperiment was executed under the supervision of Mr. Almohalwas at UCLA. All aspects of the experiment such as experimental design, data collection and preprocessing was done from myself.InspirationHow does anti-anxiety medicine affect you differently by age? Is there a level of plateauing in effectiveness of anti-anxiety medicine - if so, at what point? Effect of anti-anxiety medicine on memory recall? Effectiveness of placebos in a test environment?
DOI: 10.6084/m9.figshare.3385780.v4
title: Distributed Solar Photovoltaic Array Location and Extent Data Set for Remote Sensing Object Identification

description: Earth-observing remote sensing data, including aerial photography and satellite imagery, offer a snapshot of the world from which we can learn about the state of our environment, anthropogenic systems, and natural resources. The components of energy systems that are visible from above may be assessed with these remote sensing data when combined with machine learning methods. Here we focus on the information gap in distributed solar photovoltaic (PV) arrays, of which there is limited data on solar PV deployments at small geographic scales. We created a machine learning dataset to develop the process of automatically identifying solar PV locations through the use of remote sensing imagery.<br>This dataset contains the geospatial coordinates and border vertices for 19,433 solar panels across 601 high resolution images from four cities in California. Dataset applications include training object detection and other machine learning algorithms that use remote sensing imagery, developing specific algorithms for predictive detection of distributed PV systems, and analysis of the socioeconomic correlates of PV deployment.<br>Links to the aerial photographs from Fresno, Stockton, Oxnard, and Modesto can be found in the references.<br><i>Notes: this version of the dataset has been improved to increase the accuracy of polygon georeferencing so that the data can be more easily integrated with imagery other than than the original imagery from which the annotations were based. Additionally, a small number of polygons were found to be erroneous annotations and either corrected or removed.</i><i><br></i><i>Update July 30, 2020: </i><i>Panel area in pixels and area in square meters were labeled incorrectly in the original version; those labels were reversed. Updated files include:</i><i> 'polygonDataExceptVertices.csv', 'SolarArrayPolygons.geojson', 'SolarArrayPolygons.json'.</i>
DOI: 10.17632/9dzvw32h4r
title: Data for: Directional correction of modelled sea and swell wave heights using satellite altimeter data

description: The netcfd files in this repository are the result of the correction procedure described in the article. The wave height related variables present both the original and the corrected values. The text files have the calculated directional coefficients for sea and swell. Fake sea and fake swell corrections are the values obtained by the linear regression model despite the statistical significance analysis.
DOI: 10.17632/mv24f39v9z
title: LogisticalRegressionDatasets

description: The SPSS files that contains the variables and the associated datasets.
DOI: 10.17632/yfvv3crnpy
title: Spectral Centroid Images for Multi-class Human Action Analysis : A Benchmark Dataset

description: This dataset contains a collection of spectral centroid images that represent various human actions. Spectral centroid images are time-frequency representations of audio signals that capture the distribution of frequency components over time. In this dataset, the audio signals correspond to different human actions, such as walking, running, jumping, and dancing. The spectral centroid images were generated using the short-time Fourier transform (STFT) of the audio signals, and each image represents a segment of the audio signal. The dataset is designed for tasks such as human action recognition, classification, segmentation, and detection. It can be used to train and evaluate machine learning models that analyze human actions based on audio signals. The dataset is suitable for researchers and practitioners in the fields of signal processing, computer vision, and machine learning who are interested in developing algorithms for human action analysis using audio signals. The dataset is annotated with labels indicating the type of human action represented in each spectral centroid image.
DOI: 10.6084/m9.figshare.27100615.v1
title: <b>Uncovering the Impacts of 2D and 3D Urbanization on Urban Heat Islands in 384 Chinese Cities</b>

description: We assessed the UHI trends at a 1000-m grid level to compare the impacts induced by 2D and 3D urbanization across 384 Chinese cities.
DOI: 10.17632/npc2c3m8ff
title: Data for: An Integrated Gaussian Graphical Model to Evaluate the Impact of Exposures on Metabolic Networks

description: Attached is a zip file containing codes for simulated data generation, Lasso implementation and accuracy measurement
DOI: 10.6084/m9.figshare.24717864.v1
title: A type VII-secreted lipase toxin with reverse domain arrangement

description: Raw microscopy data for figure 5 of Garrett <i>et al</i>. Nature Communications manuscript NCOMMS-23-35821B. Microscopy images for <i>S. aureus</i> cells expressing TslA, stained with Sytox Green and Disc3(5). Includes all steps in image analysis.
DOI: 10.6084/m9.figshare.754576.v1
title: Gaussian Job Archive for C18H23NO3

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.17632/b26nh9jdzk
title: Arabic-English Cross-Lingual Plagiarism Detection

description: this data collected for research in Arabic-English Cross-Lingual Plagiarism Detection. to cite this work: Aljuaid H. (2020) Arabic-English Corpus for Cross-Language Textual Similarity Detection. In: Kim K., Kim HY. (eds) Information Science and Applications. Lecture Notes in Electrical Engineering, vol 621. Springer, Singapore
DOI: 10.6084/m9.figshare.25866619.v2
title: <b>Recovery of 240 metagenome-assembled genomes</b><b> from offshore and nearshore mariculture environments in South Korea</b>

description: <b>Metagenome-assembled genomes fasta file and quality information</b>Representative metagenome-assembled genomes (MAGs) fasta fileProkka results of Data1AMRFinder results of Data1A newick file of prokaryotic MAG phylogenyA newick file of eukaryotic MAG phylogenyNon-representative MAGs fasta file from all samplesNon-representative MAGs information
DOI: 10.6084/m9.figshare.24453874.v1
title: Metadata variables from Progress towards the implementation of control programmes for strongyloidiasis in endemic areas: estimation of number of adults in need of ivermectin for strongyloidiasis

description: The World Health Organization (WHO) has started a process to issue guidelines for the control of strongyloidiasis. The guidelines might recommend to implement preventive chemotherapy (PC) at community level (i.e. to all individuals above 5 years of age), over a defined prevalence threshold. We previously estimated the number of school-age children (SAC) who would need PC. Here we estimate the number of people above 15 years of age who might be included in PC for strongyloidiasis. Based on previous <i>Strongyloides</i> prevalence estimates and on countries' age distribution, we retrieved the number of adults in need of PC. We then subtracted the number of people already involved in ivermectin mass distribution for the elimination of onchocerciasis and lymphatic filariasis and people living in countries where <i>Loa loa</i> is endemic. The number of adults to be involved in PC was estimated from 994.2 (95% confidence interval [95% CI]: 571.6–1292.6), to 562.3 (95% CI: 303.1–790.1) million people, when the strongyloidiasis prevalence threshold for implementing PC was set to 10% and 20%, respectively. Estimates at country level are also provided.These estimates might help endemic countries wishing to implement PC for strongyloidiasis to allocate resources to include adults in addition to SAC in control programmes.This article is part of the theme issue ‘Theo Murphy meeting: Strongyloides: omics to worm-free populations’.
DOI: 10.6084/m9.figshare.28981649.v1
title: 第三组（新）

description: data
DOI: 10.17632/7hb33vd7sf
title: variantion dataset of tea plant

description: The VCF files contained all of cleaned SNPs and small InDels across the whole genome in Tea plant population.
DOI: 10.17632/nz5wh5dmm5
title: Food Addiction: Preferences & Dietary habits

description: This project was carried out with the aim of analyzing whether people with food addiction follow an eating pattern aligned with their preferences, or on the contrary, whether this alteration produces a distortion in their habits.
Data include information about sex, age, anthropometric parameters, food preferences and dietary habits. In addition, the R script to carry out statistical analysis is also included.
DOI: 10.6084/m9.figshare.20619868.v1
title: Additional file 27 of Single cell RNA-seq analysis reveals temporally-regulated and quiescence-regulated gene expression in Drosophila larval neuroblasts

description: Additional file 27.
DOI: 10.6084/m9.figshare.26981449.v1
title: Supporting Dataset S21

description: Files used to infer the phylogeny of the Spiralin genes shown in Supporting Figure S18. Contains alignment before and after masking, and IQTree input and output files.
DOI: 10.6084/m9.figshare.5021297.v1
title: R code

description: R code used for each data set to perform negative binomial regression, calculate overdispersion statistic, generate summary statistics, remove outliers
DOI: 10.6084/m9.figshare.7582181.v5
title: An improved high-quality genome assembly and annotation of Tibetan hulless barley

description: We reported an improved high-quality assembly of Tibetan hulless barley genome with 4.0Gb in size. We employed the falcon assembly package ,scaffolding and error correction tools to finish improvement using PacBio long reads sequencing technology, with contig and scaffold N50 lengths of 1.563Mb and 4.006Mb, respectively, representing more continuous than the original Tibetan hulless barley genome nearly two orders of magnitude. We also re-annotated the new assembly, and reported 61,303 stringent confident putative protein-coding genes, of which 40,457 is HC genes.
DOI: 10.6084/m9.figshare.7207514.v1
title: MacroPopGen Database: Geo-referenced population-specific microsatellite data across the American continents

description: Files associated with the MacroPopGenBase:<br>1) .XLSX file documenting references for associated reference IDs, and list of key terms used in meta-analytical searches.2) .XLSX with MacroPopGenBase data [24 columns, 9090 rows] as well as data file documenting all localities and distances between them [26 columns, 10921 rows]. Associated Read Me tabs also included.<br>3) .CSV file with subset of North American mammal data used for testing ascertainment bias associated with mirosatellite loci.4) All R code used to produce figures and analyses presented in Lawrence et al. (in revision) <i>Scientific Data</i><br>
DOI: 10.6084/m9.figshare.21076117.v1
title: Snow trade 2022

description: Snow trade codes
DOI: 10.17632/ppz3r5j2n2
title: EEG Raw Data from Binaural Beat Stimulation 

description: * Sample Description:
Twenty five subjects (9 women and 21 men) aged between 19-24 years were stimulated with three different personalized binaural beats (BB): theta BB, alpha BB, and beta BB. The participants reported no musical experience, no neurological disease, and no hearing impariment. 

* EEG Recordings:
EEG data were taken from 24 channels, with M1 and M2 as references and FCz as ground. Sample rate was 250 Hz. 

* Data Description:
The EEG recordings were collected in four sessions: 
- Session 1: resting state -> 3 min with eyes closed and no task (25 .gdf files).
- Session 2: BB stimulation -> 25 min with eyes closed, while listening to theta BB (25 .gdf files). 
- Session 3: BB stimulation -> 25 min with eyes closed, while listening to beta BB (25 .gdf files).
- Session 4: BB stimulation -> 25 min with eyes closed, while listening to alpha BB (3 .gdf files). 

Session 1 and 2 were performed in the same day. Session 3 and 4 were carried out in different days, based on participant availability. For BB stimulation sessions, the EEG data from 0-20 min corresponds to neural activity when participants were just listening to personalized BB in order to induce brain entrainment. After that, an oddball paradigm was carried out where standard (240 pure tones of 1 kHz ) and deviant (60 pure tones of 2 kHz) auditory pitches were presented. 

* All sounds were supplied through open back headphones. 

* BB design:
Personalized theta BB, beta BB, and alpha BB were designed according to Brain-Body Coupling Theorem from Klimesch [1,2] , who established that brainwaves and other body oscillations are coupled among them at rest.

* Both personalized BB and pure tones were created with a sample rate of 44100 Hz.

* .txt files for channels list are provided:
- 24 channels list 
- 22 referenced-channels list  

References:
[1] Klimesch, Wolfgang. 2013. "An algorithm for the EEG frequency architecture of consciousness and brain body coupling." Frontiers in Human Neuroscience 7 (766). 
[2] Klimesch, Wolfgang. 2018. "The frequency architecture of brain and brain body oscillations: an analysis." European Journal of Neuroscience 48 2431-2453.
DOI: 10.6084/m9.figshare.14188862.v3
title: Multipurpose temporal GIS model for cadastral data management

description: The data, codes and queries to accompany the paper "Multipurpose temporal GIS model for cadastral data management". Full details of the designs and use of queries are explained in the paper
DOI: 10.6084/m9.figshare.16643287.v1
title: Supplementary Material for: Comparison of Outcomes between Percutaneous and Surgical Placement of Peritoneal Dialysis Catheters in Uremic Patients: A Meta-Analysis

description: <b><i>Background:</i></b> The optimal technique for inserting peritoneal dialysis catheters in uremic patients remains debated. This meta-analysis aimed to summarize the current evidence evaluating the efficacy and safety of percutaneous insertion methods compared to surgical methods. <b><i>Method:</i></b> A literature search was performed in the PubMed, EMBASE, Cochrane, and Web of Science databases. The primary outcome was defined as catheter survival. The secondary outcomes were mechanical and infectious complications related to catheter insertion. <b><i>Results:</i></b> Twenty studies were finally identified, including 2 randomized controlled trials. The pooled results of catheter survival, overall mechanical complications, and infectious complications were not significant (odds ratio [OR] = 1.10, 95% confidence interval (CI) = 0.76–1.57, <i>p</i> = 0.62; OR = 0.73, 95% CI = 0.48–1.11, <i>p</i> = 0.14; and OR = 0.64, 95% CI = 0.37–1.09, <i>p</i> = 0.14, respectively). Comparison stratified by the blind percutaneous method versus open surgery indicated a lower overall number of mechanical complications (OR = 0.54, 95% CI = 0.31–0.93, <i>I</i><sup>2</sup> = 72%) and malposition rate (OR = 0.56, 95% CI = 0.34–0.90, <i>I</i><sup>2</sup> = 0%). The leakage rate was higher in the blind percutaneous group than in the open surgery group (OR = 2.55, 95% CI = 1.72–3.79, <i>I</i><sup>2</sup> = 0%); the guided percutaneous method achieved a similar leakage risk to the surgical methods. <b><i>Conclusions:</i></b> The blind percutaneous method performed better with fewer overall mechanical complications and less malposition than open surgery. The leakage risk was higher in the blind percutaneous group, while the guided percutaneous placement group showed similar outcomes to the surgical method groups. Percutaneous methods also had a lower infection risk, which needs further evidence to be confirmed.
DOI: 10.17632/gw684hwcyb
title: Data for aggregate statistics in "Hundreds of extreme self-citing scientists revealed in new database"

description: Data supporting the charts in https://www.nature.com/articles/d41586-019-02479-7. Based on a snapshot of Scopus dated July 2019, across around the 7 Million author profiles that have 5 or more publications in Scopus. Information about the compilation of the dataset of which this aggregate is derived is available with the article dataset: https://data.mendeley.com/datasets/btchxktzyw/1