cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bh7tvrym35
title: Comprehensive Deepfake Detection Dataset: Real and Synthetic Frames from Roop and Akool AI Technologies

description: This dataset is a cutting-edge resource for deepfake detection, containing 110,694 frames extracted from 480 videos. It features two primary categories: deepfake and real frames. The deepfake frames (106,948) were generated from 450 videos using advanced AI tools such as Roop Faceswapper and Akool AI, while the real frames (3,746) were derived from 30 authentic videos. The dataset is meticulously curated to ensure diversity, balance, and high-quality representation, making it an invaluable resource for training and evaluating deepfake detection models.

The dataset collection process was conducted with ethical approval from Daffodil International University, ensuring adherence to ethical standards for data collection and research in deepfake detection systems.

Key Features:
Total Videos: 480 (450 deepfake, 30 real).
Frame Distribution: 106,948 deepfake frames and 3,746 real frames.
Deepfake Generation Tools: Leveraged state-of-the-art technologies like Roop Face-Swapper and Akool AI for synthetic video creation.
Demographic Diversity: Includes frames from 15 males and 15 females, ensuring varied representation across facial features, lighting conditions, and environments.
Balanced Dataset: Carefully curated for fair model training and evaluation.
Applications: Ideal for developing scalable, real-time detection systems in cybersecurity, digital forensics, and media integrity verification.

This dataset offers an unparalleled opportunity to explore and enhance deepfake detection models, addressing the challenges posed by synthetic media with a diverse and high-quality benchmark.
DOI: 10.17632/bvpzvn5sbg
title: Telomerase RNA component knockout exacerbates S. aureus pneumonia by extensive inflammation and dysfunction of T cells

description: RNA sequencing data of murine lungs from young (8-12 weeks old) and old WT (2 years old) mice, as well as young third generation Terc knockout mice (8-12 weeks old). The mice were infected intranasally for 24 hours with Staphylococcus aureus USA300.
DOI: 10.6084/m9.figshare.24517054.v1
title: Estonian Valence Corpus / Eesti valentsikorpus

description: The Estonian Valence Corpus consists of paragraphs (4,088) from newspaper articles and comments in "Postimees" and "Õhtuleht," whose emotional tone (positive, negative, mixed, neutral) has been determined by readers. The dominant opinion method was employed to determine the tone (Pennebaker, James W.; Mayne, Tracy J.; Francis, Martha E. 1997. Linguistic predictors of adaptive bereavement.<i> Journal of Personality and Social Psychology</i> 72(4), 863-871).The Estonian Valence Corpus is primarily intended for training statistical models but can also be used for other purposes."Postimees" sections/categories: Opinion (ARVAMUS), Culture (KULTUUR), Sports (SPORT), International (VÄLISMAA), Crime (KRIMI), Estonia (EESTI), comments on Estonia (KOMM-P-EESTI)"Õhtuleht" sections/categories: Life (ELU-O), comments on Life (KOMM-O-ELU)For more information about the corpus: Pajupuu, Hille; Altrov, Rene; Pajupuu, Jaan (2016). Identifying polarity in different text types. <i>Folklore: Electronic Journal of Folklore</i>, 64, 25−42. https://doi.org/10.7592/FEJF2016.64.polarity.***Eesti valentsikorpus koosneb "Postimehe" ja "Õhtulehe" artiklite ja kommentaaride ortograafilistest lõikudest (4088), mille emotsionaalsuse (positiivne, negatiivne, vastuoluline, neutraalne) on määranud lugejad. Kasutatud on domineeriva arvamuse meetodit (Pennebaker, James W.; Mayne, Tracy J.; Francis, Martha E. 1997. Linguistic predictors of adaptive bereavement. <i>Journal of Personality and Social Psychology</i> 72(4), 863-871).Valentsikorpus on mõeldud eeskätt statistiliste mudelite treenimiseks, kuid seda saab kasutada ka muudel eesmärkidel."Postimehe" rubriigid: ARVAMUS, KULTUUR, SPORT, VÄLISMAA, KRIMI, EESTI, KOMM-P-EESTI (Eesti kommentaarid)"Õhtulehe" rubriigid: ELU-O (Elu), KOMM-O-ELU (Elu kommentaarid)Korpusest täpsemalt: Pajupuu, Hille; Altrov, Rene; Pajupuu, Jaan (2016). Identifying polarity in different text types. <i>Folklore: Electronic Journal of Folklore</i>, 64, 25−42. https://doi.org/10.7592/FEJF2016.64.polarity.<br>
DOI: 10.6084/m9.figshare.28143995.v1
title: Gaslighting at Work scale development

description: Gaslighting at Work scale development
DOI: 10.6084/m9.figshare.c.3789499_d1.v1
title: Additional file 1: of Genomic adaptation to agricultural environments: cabbage white butterflies (Pieris rapae) as a case study

description: Phenotyping data for MN and ND individuals. Table containing the wing and development time measurements for all phenotyped individuals. (XLSX 18 kb)
DOI: 10.17632/bgm2k6gt3j
title: ZooMS Spectra 2 (Brown et al.)

description: Spectra for samples identified using ZooMS from Denisova Cave. Brown et al., Zooarchaeology through the lens of collagen fingerprinting at Denisova Cave
DOI: 10.6084/m9.figshare.10259846.v1
title: Data (Part I) for 'Dynamic allometry in coastal overwash morphology'

description: These data accompany the article 'Dynamic allometry in coastal overwash morphology' (Lazarus <i>et al</i>., 2019).<br><b>Table 1</b> includes the trial number, image date, image number, image time, total elapsed time for trial, time as percentage of the overall trial duration, washover feature ID (for tracking individual features between images, washover area (m<sup>2</sup>), washover length (m), washover position alongshore (m), and spacing between adjacent washovers (m).<br><br><b>Table 2</b> includes an index reference, percent experimental run time, area (m<sup>2</sup>), and length (m) for five individual deposits in which we track morphometric change during an experimental trial. (See Fig. 5 of the corresponding article.)<br><b>Table 3 </b>includes year, washover area (m<sup>2</sup>), and washover length (m) for deposits along Core Banks, North Carolina, USA, measured in aerial imagery (via Google Earth) from 1993, 2005, and 2011. (See Fig. 1 of the corresponding article.)<br>See also [https://doi.org/10.6084/m9.figshare.10281902] for related data on Ria Formosa, Portugal.<br>
DOI: 10.6084/m9.figshare.17111108.v1
title: data_holz.csv

description: Data for the study: <b>How does migration background affect COVID-19 vaccination intentions? A complex relationship between general attitudes, religiosity, acculturation and fears of infection. </b>
DOI: 10.6084/m9.figshare.28560149.v1
title: Health Literacy and Physical Activity in Non-Communicable Disease Prevention and Management

description: The Korea Health Panel Study (KHPS) is a nationally representative longitudinal survey designed to support evidence-based health policy development and academic research. Established in 2008 through a collaboration between the Korea Institute for Health and Social Affairs (KIHASA) and the National Health Insurance Service (NHIS), the KHPS systematically gathers comprehensive longitudinal data on healthcare utilization, health behaviors, and health outcomes within the Korean population. Data collection employs a computer-assisted personal interviewing (CAPI) method, wherein trained interviewers visit households and administer surveys using computer-assisted questionnaires on laptops.
DOI: 10.6084/m9.figshare.29161532.v1
title: COMMSMED-24-0800_Numerical data.docx

description: Numerical data for a study on quality of life and mental health in children and adolescents with Pediatric Long COVID.
DOI: 10.17632/79z5v32nv2
title: Machine Learning Thermobarometry for Biotite-Bearing Magmas

description: These code and table files are supplementary to "Li X, Zhang C. Machine Learning Thermobarometry for Biotite-Bearing Magmas. Journal of Geophysical Research: Solid Earth."
DOI: 10.17632/bsm5r9j6vg
title: A track reconstruction program (TRP) for evaluation of nucleus-nucleus collisions in nuclear track emulsion chambers

description: Abstract Given are samples of points on several parallel sheets. Most of these are intersection points of straight lines originating from a common “vertex” outside the sheets. The TRP reconstructs these lines and their origin, the vertex. Title of program: VERT VER. 3.1, EMUFIT VER. 4.1 Catalogue Id: ABFU_v1_0 Nature of problem In high energy heavy ion physics nucleus-nucleus collisions produce particles moving in a narrow cone along the beam axis. In a typical experiment using emulsion chambers with gold targets there are multiplicities of singly charged particles observed of the order of 500. The beam was in this case 32S of 200 GeV/nucleon. Versions of this program held in the CPC repository in Mendeley Data ABFU_v1_0; VERT VER. 3.1, EMUFIT VER. 4.1; 10.1016/0010-4655(89)90080-5 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.6084/m9.figshare.10013021.v1
title: Raw data of ELSA and RT-qPCR

description: ELSA和RT-qPCR的原始数据
DOI: 10.6084/m9.figshare.14356754.v1
title: Original Scale Metabolomics data: COCOMO

description: Non-targeted metabolomics data
DOI: 10.6084/m9.figshare.27094078.v1
title: Ran_et_al_Elymus nutans Griseb.xlsx

description: 植物生长促进根际细菌 （PGPR） 可以促进植物生长，增加养分吸收，提高作物产量。我们旨在检查温度对 PGPR 介导的作用或 PGPR 接种定植的影响。
DOI: 10.6084/m9.figshare.28682792.v1
title: Details of results of Animal models of Endometriosis

description: <b>Details of results of review article title "Sex Steroid Hormones and Hypothalamic-Pituitary-Gonadal Axis in Endometriosis: A Comprehensive Scoring-Based Analysis of Animal Models"</b>
DOI: 10.6084/m9.figshare.6969905.v1
title: Mycobacterial Homology Database with 50% Identity Cutoff

description: This is a table of results from comparison of the annotated proteins from nine different mycobacterial species. The goal of its creation was to suggest which proteins are likely to have identical functions between species. This table reports only those protein comparisons with greater than 50% amino acid identity. Each row is a different gene used to search for close matches, each column is the genome used for searching. In parentheses next to the name of each match is the percent identity between the sequences (query vs each match).
DOI: 10.17632/ymhb45z69f
title: supplementary material

description: Supplementary material A includes the mathematical models of the total water network optimization, and the data for the case study. Supplementary material B presents the full calculations of contaminants removal processes.
DOI: 10.17632/zpn6r2fw2s
title: Dataset of Educational Research in 2020 extracted from WOS

description: This dataset includes two sub-dataset: (i) A dataset of 2354 articles in education literature within 2020, with keyword "School"; and (ii) A dataset of 321 articles in education literature within 2020 related to COVID-19. This data achieved from Clarivate Web of Science on 20 Dec 2020 and is provided with both excel and plaintext formats. Researchers can use this dataset to have an overview of scholarly work in education in 2020.
DOI: 10.6084/m9.figshare.14211248.v1
title: mBio_Wang_etal_2020_supplement_TableS7

description: <b>Supplemental Table S7. Average 5’ UTR lengths for all detectable genes across the 21 <i>C. albicans </i>isolates.</b>
DOI: 10.6084/m9.figshare.23723922.v1
title: SEG-Y data

description: SEG-Y data  linked to the descriptor paper submitted to scientific data.
DOI: 10.6084/m9.figshare.956216.v1
title: Specimen citation data for natural history museums; no. of citations in papers, h-index, no. of sequences in GenBank and no. of records in GBIF

description: A table containing for several natural history museums, the number of papers citing their specimens, their h-index, the number of sequences in GenBank attributed to their specimens and the number of records they store in GBIF. The location of each museum is also recorded
DOI: 10.17632/2gkg7vvcrm
title: A Brazilian dataset for screening the risk of the Chronic Kidney Disease

description: We collected the medical data (60 real-world medical records) from physical medical records of adult subjects (age ≥ 18) under the treatment of University Hospital Prof. Alberto Antunes of the UFAL, Brazil. The data collection was approved by the Brazilian ethics committee of the Federal University of Alagoas, approval number 47350313.9.0000.5013. The 60 real-world medical records are related to the four risk classes: low risk (30 records), moderate risk (11 records), high risk (16 records), and very high risk (3 records). An experienced nephrologist, with more than 30 years of CKD treatment and diagnosis in Brazil, labeled the risk classification based on the KDIGO guideline. We only translated the dataset to English and converted the gender of subjects from string to a binary representation to enable the usage of different machine learning algorithms. We augmented the dataset to decrease the impact of imbalanced data and improve the data analysis (more 54 records) by duplicating real-world medical records and carefully modifying the attributes, i.e., increasing each CKD biomarker by 0.5. We selected the constant 0.5 with no other purpose than differ the instances and maintain the new one with the same label as the original. The augmented data was also reviewed by the experienced nephrologist to increase confidence in the data augmentation. The dataset does not contain duplicated and missing values. Therefore, we provide two datasets: original and augmented.
DOI: 10.17632/4gdpmmk2yy
title: Household Food waste in Delhi, India

description: The data pertains to a physical waste survey undertaken in Urban areas in South Delhi District, Delhi, India. The physical waste survey was undertaken to quantify avoidable food waste (AFW) and explore and understand the drivers of AFW at the household level. Household waste was collected for seven consecutive days from each of the 56 households. Subsequently, one participant from each of the 17 high AFW-generating households was engaged in a semi-structured interview to uncover the drivers of household AFW. A mixed methods approach was employed to understand the phenomenon of AFW in urban households. Descriptive and inferential analysis was undertaken on the physical waste data. The interview data was analyzed through thematic analysis. The following data files are attached
1. Physical waste survey data
2. Food categories: The FW items were categorized into 14 food categories. 
3. Participant and household data (Anonymized) 
4. Semi-structured interview guide/protocol
DOI: 10.6084/m9.figshare.21972170.v3
title: Digital Transformation and Digital Literacy SLR database.xlsx

description: This research aimed to identify studies related to digital transformation and digital literacy in higher education institutions through a systematic study of literature. The searched resulted in 830 articles published in the Scopus and Web of Science databases from 2015 to 2022. Quality questions, inclusion and exclusion criteria were applied where 202 articles were selected for the study.
DOI: 10.6084/m9.figshare.5254426.v1
title: Raw Data.rar

description: This dataset includes ECG waveform data from 110 patients during during under anesthesia. And the corresponding five doctor's evaluation of anesthetic depth curve are uploaded together. These raw data is for PeerJ journal manuscirpt"<i>HRV derived data similarity and distribution index to measure anesthetic depth based on ensemble neural network</i>".
DOI: 10.6084/m9.figshare.13286231.v1
title: Supplementary Material for: Ultrasound-Based Indications for Thyroid Fine-Needle Aspiration: Outcome of a TIRADS-Based Approach versus Operators’ Expertise

description: <b><i>Background:</i></b> Thyroid nodule image reporting and data systems (TIRADS) provide the indications for fine-needle aspiration (FNA) based on a combination of nodule sonographic features and size. We compared the TIRADS-based recommendations for FNA with those based on the personal expertise of qualified US investigators in the diagnosis of thyroid malignancy. <b><i>Methods:</i></b> Seven highly experienced ultrasound (US) investigators from 4 countries evaluated, online, the US video recordings of 123 histologically verified thyroid nodules. Technical resources provided the operators with a diagnostic approach close to the real-world practice. Altogether, 4,305 TIRADS scores were computed. The combined diagnostic potential of TIRADS (TIRSYS) and the personal recommendations of the investigators (PERS) were compared against 3 possible goals: to recognize all malignant lesions (allCA), nonpapillary plus non-pT1 papillary cancers (nPnT1PCA), or stage II-IV cancers (st2-4CA). <b><i>Results:</i></b> For allCA and nPnT1PCA, TIRSYS had lower sensitivity than PERS (69.8 vs. 87.2 and 83.5 vs. 92.6%, respectively, <i>p &lt;</i>0.01), while in st2-4CA the sensitivities were the same (99.1 vs. 98.6% and TIRSYS vs. PERS, respectively). TIRSYS had a higher specificity than PERS in all 3 types of cancers (<i>p</i> &lt; 0.001). PERS recommended FNA in a similar proportion of lesions smaller or larger than 1 cm (76.9 vs. 82.7%; ns). <b><i>Conclusions:</i></b> Recommendations for FNA based on the investigators’ US expertise demonstrated a better sensitivity for thyroid cancer in the 2 best prognostic groups, while TIRADS methodology showed superior specificity over the full prognostic range of cancers. Thus, personal experience provided more accurate diagnoses of malignancy, missing a lower number of small thyroid cancers, but the TIRADS approach resulted in a similar accuracy for the diagnosis of potentially aggressive lesions while sparing a relevant number of FNAs. Until it is not clearly stated what the goal of the US evaluation is, that is to diagnose all or only clinically relevant thyroid cancers, it cannot be determined whether one diagnostic approach is superior to the other for recommending FNA<b>.</b>
DOI: 10.6084/m9.figshare.22028060.v1
title: Data230206

description: Columns A through J are the explanatory variables and columns K through R are the objective variables. <br> Explanatory variables Slope Northness Eastness TpExp1000 TpExp200 Area Geology TmpSummer RainSummer SnowMax A 10 m DEM provided by the GSI was used to produce maps of slopes, aspects, and topographic exposure using GIS. The aspects were translated into continuous north-south gradients (northness) and an east-west gradients (eastness) using the following equations: northness = cosine (aspect); eastness = sine (aspect). The topographic exposure was defined as the total value of the horizontal angle within view from a given point to a given distance. This was calculated for the 200 m and 1,000 m radius cases (TpExp200 and TpExp1000). The terrain variables were calculated as the means of each of the 10 × 10 m cells making up each landslide-scarp polygon. <br> The 30-year average values (1981?2010) of the climate variables were obtained from the Mesh Climate Data 2010 dataset (Japan Meteorological Agency, 2012). The average summer temperature (July to September), total summer rainfall (July to September), and maximum snow depth were used as climate variables for each polygon (TmpSummer, RainSummer, and SnowMax). <br> The lithology of each polygon was defined as the most dominant lithology in that polygon according to a geological map of 1:200,000 scale (Geological Survey of Japan 2009). Abbreviations are as follows; g3 Late Pleistocene to Holocene fan deposits g190 Early Cretaceous non-marine sedimentary rocks g260 Early Jurassic marine and non-marine sedimentary rocks g410 melange matrix of Permian accretionary complex g441 sandstone of Middle to Late Jurassic accretionary complex g555 ultramafic rocks g807 Late Oligocene to Early Miocene non-alkaline felsic volcanic intrusive rocks g1010 Middle Pleistocene non-alkaline mafic volcanic rocks g1260 Late Miocene to Pliocene felsic plutonic rocks g1331 Late Cretaceous granite (Younger Ryoke Granite) g1670 Nagato and Hida Gaien Tectonic Belts (schist) g Others Objective variable Nmb, number of vegetation types within each landslide scarp Frs, presence of forest vegetation Cnf, presence of coniferous forest Brd, presence of broad-leaved forest Shr, presence of shrubland Ssg, presence of Sasa grassland Mdw, presence of meadow Rbl, presence of rubble field The number of vegetation types was binarized by a threshold value: the presence/absence of vegetation consisting of three or more types was used as the objective variable.
DOI: 10.6084/m9.figshare.28681187.v1
title: Geotechnical Properties of Soils: A Dataset from Literature

description: This dataset contains geotechnical properties of fine-grained soils, extracted from Günaydın et al. (2009). The dataset includes key soil parameters such as <b>Gravel Content (%), Sand Content (%), Fines Content (%), Liquid Limit (%), Plastic Limit (%), Optimum Moisture Content (%), and Maximum Dry Density (kN/m³)</b>. These parameters are essential for soil classification and geotechnical engineering applications, including soil stability analysis and foundation design.The dataset can be used for <b>machine learning applications, predictive modeling, and comparative soil studies</b>. It provides valuable reference data for researchers and engineers working on soil mechanics, geotechnical design, and civil engineering projects.
DOI: 10.6084/m9.figshare.5146576.v1
title: Indices of Rejected Trials

description: Indices of the noisy trials
DOI: 10.17632/g4hknxrz4c
title: An analysis of the effects of parental involvement in Philippine early childhood education and special education. .

description: This File is converted into XML to excel it contains data that I used in my research entitled An analysis of the effects of parental involvement in Philippine early childhood education and special education. .
DOI: 10.6084/m9.figshare.3520862.v1
title: Appendix A. Hand-held filter unit details.

description: Hand-held filter unit details.
DOI: 10.17632/zzcwjwxcmt
title: Replication Data: Is White Always the Standard?

description: This is original data collected for the article "Is White always the standard? Using replication to revisit and extend what we know about the leadership prototype" as accepted for publication in The Leadership Quarterly in June 2022. Upon publication, the research article can be accessed at williamobenauer.com/research.
DOI: 10.6084/m9.figshare.28839278.v1
title: Supplementary Material for: Is the risk of developing a Crohn’s disease increased after appendectomy? A systematic review of the literature and meta-analysis

description: Introduction
The effect of appendectomy on the development of Crohn’s disease (CD) is a matter of debate. The aim of this systematic review and meta-analysis is to gather the latest published data to determine whether patients with a history of appendectomy have an increased risk of developing CD or not.

Methods
MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials were searched for case-control and cohort studies assessing the risk of developing CD after appendectomy. The pooled adjusted and not adjusted Odds Ratio (OR) with 95% confidence intervals (CI) were calculated for case-control studies. Heterogeneity was assessed. Studies were ranked using the Newcastle-Ottawa Scale (NOS) and were all of good quality.

Results
Fourteen case-control studies and 6 cohort studies were included. Meta-analysis of case-control studies (33’243 patients) of raw Odds Ratio shows a positive association between appendectomy and CD (OR: 1.51, 95% CI: 0.97 to 2.36, I2=87%), which was not statistically significant (p=0.069). The meta-analysis of adjusted Odds Ratio shows that appendectomy represents a statistically significant risk factor for the development of CD (OR: 1.86, 95% CI: 1.01 to 3.45, p=0.047. I2=89%). 

Conclusion
Appendectomy appears to be a risk factor for the development of CD. However, the discrepant results obtained by meta-analysis of unadjusted OR, the heterogeneity between studies, and the lack of precision of the magnitude of the association mandate confirmation by a large epidemiological study.