cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hytsjn9zbv.1
title: Degradation of nuclear and mitochondrial DNA after gamma-irradiation and its effect on forensic genotyping

description: Forensic genotyping can be impeded by gamma-irradiation of biological evidence in the event of radiological crime. Oxidative effects within the mitochondria elicit greater damage to mitochondrial DNA (mtDNA) than nuclear DNA (nuDNA) at low doses. This study presents a novel approach for the assessment of nuDNA versus mtDNA damage from a comparison of genotype and quantity data, while exploring likely mechanisms for differential damage after high doses of gamma-irradiation. Liquid (hydrated) and dried (dehydrated) whole blood samples were exposed to high doses of gamma-radiation (1-50 kilogray, kGy). The GlobalFiler PCR Amplification Kit was used to evaluate short tandem repeat (STR) genotyping efficacy and nuDNA degradation; a comparison was made to mtDNA degradation measured using real-time PCR assays. Each assay was normalised before comparison by calculation of integrity indices relative to unirradiated controls. For nuDNA, a subset of autosomal STR markers were selected for relative size consistency with three mtDNA targets (86, 190 and 452 bp), including loci of low molecular weight (D2S441, ~75-110 bp), intermediate molecular weight (vWA and D1S1656, ~150-210 bp), and high molecular weight (TPOX and SE33, ~310-450 bp). For STR size groups containing multiple loci, the average peak heights of alleles for each marker were determined. Integrity indices were calculated from the peak height or quantity ratios of increasing amplicon size difference, comprising intermediate/short (Index A), long/intermediate (Index B), and long/short loci (Index C). Full STR profiles were attainable up to the highest dose, although DNA degradation was noticeable after 10 and 25 kGy for hydrated and dehydrated blood, respectively. This was manifested by heterozygote imbalance more than allele dropout. Degradation was greater for mtDNA than nuDNA, as well as for hydrated than dehydrated cells, after equivalent doses. Findings suggest that oxidative effects due to water radiolysis and mitochondrial function are dominant mechanisms of differential damage to nuDNA versus mtDNA after high-dose gamma-irradiation. While differential DNA damage was reduced by cell desiccation, its persistence after drying indicates innate differences between nuDNA and mtDNA radioresistance and/or continued oxidative effects within the mitochondria. Degradation of mtDNA is more severe after gamma-irradiation than nuDNA; this does not adversely impact on genotyping success of blood samples up to 50 kGy.
DOI: 10.17632/n2dgh7dvpw.1
title: Data for: Estimating the Armington Elasticity: The Importance of Study Design and Publication Bias

description: More details are available at meta-analysis.cz/armington.
DOI: 10.17632/yhs329pd7d.1
title: Global Fear Index Data for the COVID-19 Pandemic

description: The COVID-19 Global Fear Index (GFI) seeks to measure daily concerns and emotions on the spread and severity of COVID-19 since the pandemic declaration. Excessive fears could have significant implications on investment sentiments and decisions, and as such affecting prices such as stocks and oil prices. Relying on the official reports of COVID-19 cases and deaths across the globe, the GFI is a composite index of two factors; Reported Cases and Reported Deaths, on a scale of 0 to 100, respectively indicating no fear to extreme fear/panic. An index value of 50 is considered neutral, while anything higher signals more fear than usual. We employed what we referred to as the incubation period expectation (EPE) in daily reported cases and deaths in constructing the index. The EPE is defined as the time expectation between when a person could be exposed to the Coronavirus and the emergence of symptoms of the disease. According to the World Health Organization (WHO), most estimates of the incubation period for COVID-19 range from 1-14 days (WHO, 2020). The first component of GFI is the Reported Cases Index (RCI) which measures how far peoples’ expectations on reported cases in the preceding 14-days period veered from the present day’s reported case. The choice of 14-day expectations represents the highest number of days for COVID-19 incubation period as defined by the WHO. The RCI for a given day is computed as the ratio of COVID-19 reported cases globally on the day under consideration and the sum of reported cases from the start of the incubation period to the current day. The ratio is then multiplied by 100 to give the index on a scale between 0 and 100. The second component is the Reported Deaths Index (RDI) and measures how far peoples’ expectations from reported deaths in the preceding 14-days period veered from the present day’s reported deaths. The RDI, just as the RCI, is computed as the ratio of COVID-19 related reported deaths across the world and the sum of reported deaths on the day under consideration day and the start of its incubation period (14 days ago). The ratio is also multiplied by 100 to give an index between 0 and 100. Finally, the construct of the GFI pulls the two indexes together with equal weights assigned to obtain the composite index. The composite index is given as the simple average of RCI and RDI defined above. The higher the value of GFI, the higher the global fear of the COVID-19 pandemic. Steps to reproduce the data (optional) The codes used to produce the data are contained the excel spread sheet. With basic MS excel skills, the data can easily be reproduced. Nonetheless, we hope to provide regular updates to encourage the use of the data for empirical analyses. References https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200402-sitrep-73-covid-19.pdf Cited by this dataset https://www.who.int/emergencies/diseases/novel-coronavirus-2019/situation-reports Is related to this dataset
DOI: 10.17632/9ws98g4npw.4
title: ANTS--ant detection and tracking

description: This dataset contains sequence images of ant colony in indoor and outdoor environments. Used to train multi-target tracking models and test its performance.
DOI: 10.17632/58d95h7wkc.1
title: Stratum corneum ceramide profiles provide reliable indicators of remission and potential flares in atopic dermatitis

description: This dataset is supporting information for the original article entitled "Stratum corneum ceramide profiles provide reliable indicators of remission and potential flares in atopic dermatitis." The dataset includes the information of SC ceramide profiles analyzed in our study.
DOI: 10.17632/j7mrbgt3hh.1
title: The Ladies HMEC - Cell Reports - Vatter et al 2018

description: Mass cytometry data for 44 HMEC and 6 immortalized HMEC.
DOI: 10.17632/3j3tmghw33.2
title: Endoscopic real-synthetic over- and underexposed frames for image enhancement

description: ------------------------------------------------------------------------------------------------------------------------------------------------------
For more information about this dataset please refer to our paper: https://arxiv.org/pdf/2207.02396.pdf
------------------------------------------------------------------------------------------------------------------------------------------------------

In endoscopy examinations, it is very common to come across with exposure errors due to light reflexions in the inner walls of the hollow organs. For instance, when the tip of the endoscope  (which has a light) points to folds, these structures reflect the light, provoking overexposure, and whereas, an underexposed region at the other end of the frame can appear. This can be a big problem for physicians since they are fully responsible of detecting anomalies, blood, or even polyps, that could be translated in warning cases. Currently, methods for enhancing exposure errors need paired data, i.e., corrupted frames and their respective ground-truth (i.e., non-corrupted or clean image). For instance, for natural images the LOL or MIT-Adobe FiveK datasets, which contain common real life images have been proposed. These paired datasets allow researchers to both train and evaluate their models making use of standardized ground-truth images. To the best of our knowledge, in endoscopic domain,  there are not publicly available in the literature. This is due to the difficulty of producing the same frame with and without exposures errors, naturally or with the help of a photo editing expert. Hence, our work aimed to create, through the use of GANs, a paired dataset of real images without any exposure error and the same image with an exposure error, that is a corrupted frame and its ground-truth. 

This dataset consists of three separate datasets containing i) normal endoscopic frames (without exposure errors), ii) synthetic overexposed frames, and iii) synthetic underexposed frames. Therefore, we have 1,231 real-overexposed pairs and 985 real-underexposed pairs; 2,216 paired frames in total, i.e., 4432 frames. Since our method for creating the synthetic data was stochastic, the distribution through the data varied in exposure intensity.
DOI: 10.17632/bzr2rxttvz.2
title: Credit scoring with class imbalance data: An out-of-sample and out-of-time perspective.

description: Data for predicting default risk in performance windows ranging from 12 to 60 months. For example,  FM12 folder contains data on whether mortgage loan profiles with a credit score of less than 730 defaulted within 12 months of the loan origination date.  A training sample is provided for each outcome window, as well as out-of-sample (OOS) and out-of-time (OOT) testing samples. OOS is generated using the same timeline as the training sample, whereas OOT is created from a future timeline. The samples are all generated using common features.
DOI: 10.17632/stdwp2tmy4.1
title: Sex-dependent effects in the aged melanoma tumor microenvironment influence invasion and resistance to targeted therapy. Chhabra et al

description: Source western blots
DOI: 10.17632/mtj2mpfzz3.1
title: Research data.MG

description: table 1 major element table 2 trace element table3 grain size
DOI: 10.17632/65fjp9yymt.1
title: A gut commensal bacterium promotes mosquito permissiveness to arboviruses

description: Data presented with sequence in the manuscript
DOI: 10.17632/gj8d88h2g3.2
title: Multi-language Video Subtitle Dataset

description: The video subtitle images were collected from 24 videos shared on Facebook and Youtube. The subtitle text included Thai and English languages, including Thai characters, Roman characters, Thai numerals, Arabic numerals, and special characters with 157 characters in total.

In the data-preprocessing step, we converted all 24 videos to images and obtained 2,700 images with subtitle text. The size of the subtitle text image was 1280x720 pixels and it was stored in JPG format. Further, we generated the ground truth from 4,224 subtitle images using the labelImg program. Also, the labels were then assigned to each subtitle image. Note that the number before the label is the order of the subtitle text image.
DOI: 10.15468/dl.nwgdx3
title: Occurrence Download

description: A dataset containing 391429 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "not" : {
 "PublishingCountry" : [
 "is Norway"
 ]
 }
 },
 "Country is Svalbard and Jan Mayen",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
 },
 {
 "not" : {
 "DatasetKey" : [
 "is EBCC Atlas of European Breeding Birds"
 ]
 }
 }
 ]
}

 The dataset includes 391429 records from 716 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009198-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fzjyprkh3h.2
title: Graph datasets for clustering

description: The CORA dataset consists of seven distinct categories of scientific papers. It comprises 2708 papers, with each paper represented as a node in the network. There are 5429 citation links, each representing a directed edge from one paper (node) to another, indicating a citation relationship. Each paper is represented by a 1433-dimensional feature vector, where each value is 0 or 1, indicating the absence or presence of specific words from a predefined dictionary.

CITE is a citation network dataset consisting of papers from six distinct research categories: Agents, Artificial Intelligence (AI), Databases (DB), Information Retrieval (IR), Machine Learning (ML), and Human-Computer Interaction (HCI). The dataset comprises 3327 academic papers. Each paper is represented by a 3703-dimensional word vector, indicating the absence or presence of specific words from a predefined dictionary. Additionally, the dataset includes 4732 citation links between papers, reflecting the citation relationships among papers.

The DBLP dataset is derived from the DBLP computer science bibliography and represents a co-authorship network. Each node corresponds to an author, and an edge between two nodes indicates that the corresponding authors have co-authored at least one paper together. It contains 4058 nodes and 3528 edges, with each author represented by an 334-dimensional feature vector that describes their research areas.

The ACM dataset is a paper network, derived from the ACM database. It contains a total of 3025 papers categorized into three categories: database, wireless communication, and data mining. Each paper is represented by a 1870-dimensional vector based on the research area of the article. There is an edge between two papers if they are written by the same author.
DOI: 10.15468/dl.2hsghb
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus elliottii Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 592 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009214-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4sb82rzn76.1
title: academic procrastination, academic resilience, academic self-efficacy

description: academic procrastination, academic resilience, academic self-efficacy
DOI: 10.17632/ytkv9w92t6.1
title: Fake voice recordings (Imitation)

description: This data set consists of recordings of original voice and fake voice recordings obtained by imitation [1, 2]. The voice recordings provided in this dataset can be used to train a machine learning system to classify original and fake voice recordings obtained with the imitation algorithm. Each directory has the following composition: Fake_audios: 50 voice recordings of fake audios obtained by imitation Key_fake_audios: 50 keys to reverse the process and obtain the original voice recording Original_audios: 50 original voice recordings readme.txt: this Matlab code allows recovering the original voice recording from the fake voice recording. References: [1] DM Ballesteros L, JM Moreno A. Highly transparent steganography model of speech signals using Efficient Wavelet Masking. Expert Systems with Applications 39 (10), 2012, 9141-9149, https://doi.org/10.1016/j.eswa.2012.02.066 [2] DM Ballesteros L, JM Moreno A. On the ability of adaptation of speech signals and data hiding, Expert Systems with Applications 39 (16), 2012, 12574-12579, https://doi.org/10.1016/j.eswa.2012.05.027
DOI: 10.17632/fs4k2zc5j5.3
title: pinterest_dataset

description: Dataset with 70200 pins from 117 users in Pinterest. Each pin contains a short raw text and an image. The images are processed using a pretrained Convolutional Neural Network and each one is transformed into a vector of 4096 features. This dataset was used in the paper "User Identification in Pinterest Through the Refinement of a Cascade Fusion of Text and Images" to idenfity specific users given their comments. The paper is publishe in the Research in Computing Science Journal, as part of the LKE 2017 conference. The dataset includes the splits used in the paper. There are nine files. text_test, text_train and text_val, contain the raw text of each pin in the corresponding split of the data. imag_test, imag_train and imag_val contain the image features of each pin in the corresponding split of the data. train_user and val_test_users contain the index of the user of each pin (between 0 and 116). There is a correspondance one-to-one among the test, train and validation files for images, text and users. There are 400 pins per user in the train set, and 100 pins per user in the validation and test sets each one. There is an additional file images.rar, that contains the raw original images, split per user. Nevertheles, the images do not maintain the indexed order of the pins in the other data files. If you have questions regarding the data, write to: jc dot gomez at ugto dot mx Cite this dataset as: Gomez, J. C., Ibarra-Manzano, M. A., & Almanza-Ojeda, D. L. (2017). User Identification in Pinterest Through the Refinement of Cascade Fusion of Text and Images. Research in Computing Science, 144, 41-52.
DOI: 10.17632/62s9h9hdzw.1
title: CONFIRMATORY FACTOR ANALYSIS ON THE LEGAL ASPECTS OF BUSINESS FUNDING WITH SECURITIES CROWDFUNDING SCHEME ON SMEs IN MEDAN MUNICIPAL CITY

description: SMEs is one of the important pillars in the national economic development who to date, are still faced with its classical issue in obtaining additional capital funding. The securities crowdfunding concept that was introduced to be the solution for SMEs is yet to reach the 64,2 million SMEs in Indonesia due to SMEs’ difficulties in complying to the regulatory requirements. Therefore, the objective of this research is to analyze the legal factors that may affect SMEs’ interests in obtaining capital funding via the securities crowdfunding concept. This research is conducted by using quantitative approach and analyzed by using the confirmatory factor analysis and descriptive analysis methods based on the primary data collected from 50 SMEs in BPC HIPMI Medan on a purposive sampling basis. Based on the research findings, the implementation of the disclosure principle in POJK 57/2020 are mainly the cause of SMEs’ inability and affecting interests in the securities crowdfunding concept. Therefore, further development of POJK 57/2020 as the regulatory basis of the securities crowdfunding concept are essential in supporting SMEs’ exponential growth in the future.
DOI: 10.17632/zj9b9srhfh.1
title: Construction Safety Accidents

description: The OSHA accident database, which covers a three-year period from 2015 to 2017 and includes 5,000 records of fatality accidents in the United States in the construction is the basis of this database. Although some variables needed extraction and completion due to incomplete entries, the preprocessing stage resulted in 628 records deemed suitable for analyzing safety fatalities in the building projects.
DOI: 10.17632/wnx3n8vfch.1
title: Income inequality and household debt

description: The data set consists of a 1999-2015 state-year balanced panel of forty-eight states of the U.S. Except for Alaska, Hawaii and the District of Columbia, all U.S. states are included. Inequality is measured in four different ways that each captures a different aspect of inequality: Gini and Top-1, Top-5 and Top-10 income shares, labeled as Top1, Top5 and Top10 respectively. Values for these measures are provided by Frank et al. (2015) and are available up to 2015. 
 For household debt, three different measures are used: household debt/income ratio (D/I), total household debt per capita (totD), and credit card debt per capita (CC). The year-over-year changes of these debt levels are considered as household borrowing: D.D/I, D.totD and D.CC. The state level D/I is obtained from the Federal Reserve Board Enhanced Financial Accounts (EFA). totD and CC are obtained from FEBNY Consumer Credit Panel/Equifax. totD includes mortgage debt, student loans, auto loans, and credit card debt. All these debt measures are available from 1999 onward. Furthermore, GDP per capita (pgdp) data are obtained from Fed St. Louis and U.S. government spending websites. 
 The monetary policy indicators are referred to as MI.1 and MI.2. MI.1 is the difference between the shadow federal funds rate and inflation rate while MI.2 is calculated as the 10-year T-bond rate minus the 3-month T-bill rate. The credit market indicator—denoted as CSB—measures the yield difference between corporate BAA bonds and 30-year government bonds. All these indicators are from Fed St. Louis and are measured as interest rates in percentage terms.
DOI: 10.17632/tg68z9295b.1
title: Batting Strike Rate

description: The dataset provides the strike rate of batters by county, inning, count of fours, sixes, and strike rate.
DOI: 10.17632/2mzcn986jx.2
title: Data for: Catalytic co-pyrolysis of polycarbonate and polyethylene/polypropylene mixtures: Promotion of oil deoxygenation and aromatic hydrocarbon formation

description: Detailed GC-MS results of all pyrolysis oils. (Table S1)
DOI: 10.17632/s2jkdcc3s5.1
title: Emotional intelligence, job satisfaction and life satisfaction in Polish teachers during the second wave of the COVID-19 pandemic

description: The data include a sample of 322 teachers from Poland. The web-based survey was performed between November 2020 and January 2021, during the second wave of the COVID-19 pandemic in Poland. The survey included the Multi-Factor Emotional Intelligence Scale (MEIS), Minnesota Satisfaction Questionnaire (MSQ) - short form, and Satisfaction With Life Scale (SWLS). The mediating effect of job satisfaction on the relationship between emotional intelligence and life satisfaction was examined and partially confirmed in the study.
DOI: 10.17632/wdvjjy43st.1
title: EFFECTIVENESS OF AEROBIC EXERCISES ON SLEEP QUALITY, COGNITION AND QUALITY OF LIFE AMONG POST-MENOPAUSAL WOMEN

description: Background: Post-menopause is a cessation of menses that lasts for 12 months or longer. It induces many symptoms and alterations on women’s body such as poor sleep and insomnia which results in poor quality of life when it became severe. Exercises are said to be extremely important throughout the women’s life time and particularly when she gets old. A daily moderate exercise has shown benefits in treating women with insomnia. Aerobic exercise plays an important role in maintaining quality of life, so the purpose of study was to investigate the effects of aerobic exercise on sleep quality, cognition, & quality of life in post-menopausal women.
Methodology: In this study 49 post-menopausal women aged from 45-55 years were included. Subjects were selected according to the inclusion and exclusion criteria. Procedure was thoroughly explained to the subjects selected for the study. Selected subjects were received aerobics exercises protocol for 5 days/ week for 3 weeks. A pre & post sleep quality, cognition & quality of life of the selected subjects were assessed using Sleep quality scale(SSQ), Montreal cognitive assessment (MOCA), Menopause Specific Quality of Life questionnaire (MENQOL) respectively & results were analyzed statistically using paired t-test.
Result: Significant improvements were observed after aerobic training in sleep quality (p-value 0.000), quality of life (p-value of 0.000) and there was no significant improvement in cognitive function (p-value 0.093).
Conclusion: The post-menopausal women who aged from 45-55 years showed a beneficial effects on sleep quality and quality of life, but there was no significant improvement on cognitive function.