cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/w9rn6ct78j.1
title: Extended Dataset Generated by the OEIS Integer Sequence A376895: Primes of the Form 3^k*k^3 + 2.

description: This integer sequence was registered and published in the On-Line Encyclopedia of Integer Sequences (OEIS.org) Database on October 08 - 2024, under the OEIS code: A376895.

This sequence can be expressed with the help of a general formula that uses the OEIS-indexed sequence A366997
which are the integers n such that a(n) = 3n *n3 + 2 is a prime number. This general formula is such that:

a(n) = 3^A366997 * A366997^3 + 2.

Some interesting properties of this sequence are:

◼ The next term a(8) = ∼2.20847 x10143 is too large to include in the standard OEIS format.
◼ a(9) = ∼8.66244 x10153.
◼ a(10) = ∼9.21872 x10433.
◼ This sequence is constituted by primes of the forms A002145 and A002144, with the exception of 2.
◼ The last known integer k in A366997 is 20803 and corresponds to a(13) = ∼3.21988 x109938.

The numerical data showed on this dataset was generated by the following Mathematica program:

Select[Table[3^k*k^3+2, {k, 0, 10000}], PrimeQ]

The previous program was builded on Mathematica v13.3.0.

Note: More mathematical details, graphics and technical information can be found in the notebook (.nb) & pdf files provided in this data pack.
DOI: 10.17632/d87vg86zd8.3
title: Risom et al., Cell 2022, "Transition to invasive breast cancer is associated with progressive changes in the structure and composition of tumor stroma"

description: Single channel MIBI images for each patient, annotated single-cell data, tissue feature results, and code to perform the analyses in the manuscript "Transition to invasive breast cancer is associated with progressive changes in the structure and composition of tumor stroma".
DOI: 10.17632/xw7w5ns649.3
title: Global Database of Foraminiferal Organic Linings: ForamL Version 1.2

description: This database is a collection of references to illustrations of Foraminiferal Organic Linings (FOLs) published in available scientific literature. FOLs are extracted from recent marine samples and sedimentary rocks worldwide. The analysis of the publications led to the collection of 155 scientific reports that illustrate 614 foraminiferal organic linings. All linings have been assigned to supraordinal groups of Foraminifera (Pawlowski et al. 2013), as well as to basic morphologic types of chamber arrangements. The database consists of three tables that cover the whole Phanerozoic split to the Cenozoic, Mesozoic, Paleozoic, and then to systems/periods, i.e. Quaternary, Neogene, Paleogene, Cretaceous, Jurassic, Triassic and older intervals. For each system, scientific publications are referenced chronologically, according to a publication year. The main principle to collect the data was the preparation method based on palynological procedures. The procedures included treating samples with hydrochloric acid (HCl) to remove carbonates, following with hydrofluoric acid (HF) to remove silicates from the sample. The next step was to sieve the extracted organic matter through a 10 or 15 or 20 μm sieve to separate larger organic particles, including palynomorphs with foraminiferal organic linings, for further preparation of palynological slides. Most researchers identified organic residues in palynological slides under optical microscopes equipped in either analogue or digital cameras. Some authors used a scanning electron microscope (SEM) as a supplementary method of documentation. The purpose of gathering the data is to extend scientific knowledge on the origin, taphonomy, and phylogenetic patterns of these fossilizable organic foraminiferal structures. The most recent review of the knowledge on foraminiferal organic linings is presented by Tyszka et al. (2021). The ForamL database will be further supplemented by available records of foraminiferal organic linings, therefore, any new graphic contribution of published and unpublished specimens of FOLs is welcome.
DOI: 10.17632/f2d39nsfwk.1
title: Assembly statistics

description: Statistics of de novo assembly using Velvet. Whole genome sequence data was obtained from the SRA and the original study for the data was Kapatai et al. 2017 peerJ doi: 10.7717/peerj.3226.
DOI: 10.17632/7kj4s38rvn.1
title: R code and Y-tube olfactometer data from: Floral and bird excreta semiochemicals attract western carpenter ants 

description: This data set described here is supplementary to a published paper titled: “Floral and bird excreta semiochemicals attract western carpenter ants”. Few studies have examined if ants use odours to locate food resources. Using Western carpenter ants, Camponotus modoc, as a model organism, we tested the hypotheses that ants would be generally attracted to all food resources (aphid honeydew, floral, carrion and animal (bird) excreta) tested. As floral resources have overlapping odourant chemicals in their odours, we further hypothesized ants would be attracted to shared semiochemicals between floral resources. The full methodology, results and their interpretation can be found in the publication.
DOI: 10.17632/bzr2rxttvz.3
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/dmdzm5cbgp.1
title: Data for: Elimination of systematic error in digital image correlation caused by intensity interpolation by introducing position randomness to subset points

description: The speckel images used for numerical simulations.
DOI: 10.17632/b957n6n3xm
title: Mental Imagery based Design coding

description: The design protocol data was analyzed based on the theory that object and spatial imagery are the two visual components of mental representation (Mental Imagery) in design. Since architectural design is mostly visual the black box of design thinking was demystified using the two Mental Imagery components i.e. Object Imagery and Spatial Imagery. This provided a neuroscientific understanding of the design process not explored before. The design protocol data was collected through video sessions with the subject during COVID-19 times. The design protocol explored the difference in activation of Object imagery and Spatial Imagery in two design mediums; Sketching and SketchUp. The design problems were isomorphic in nature and the design setting was kept similar for both the design mediums. The transcription of the design protocol is provided so that it can be utilized to analyze the differences in design medium with other design coding techniques.
DOI: 10.17632/mjzfskw9hh.1
title: cars

description: The car dataset is a comprehensive collection of various attributes related to cars, encompassing technical specifications, features, and performance metrics. It is widely used in numerous analyses such as machine learning, data visualization, and statistical evaluation. Key attributes within this dataset include the car's make and model, manufacturing year, engine size in liters, the number of cylinders, and the type of fuel used (e.g., petrol, diesel, electric). Additionally, it includes performance indicators like horsepower, type of transmission (automatic or manual), drivetrain (FWD, RWD, AWD), fuel efficiency measured in miles per gallon, market price in USD, and the car's total mileage.

This dataset serves multiple purposes, from predicting car prices based on various attributes to analyzing factors that influence fuel efficiency. It is also useful for understanding market trends and consumer preferences over different years and models, as well as classifying cars into different categories such as luxury, economy, or sports. Example entries might list a Toyota Corolla from 2020 with a 1.8-liter engine and an automatic transmission, highlighting the dataset's diversity.

Sources of such data typically include government databases, automotive websites, and industry research studies. In machine learning, the dataset can be employed for regression analysis to predict continuous outcomes like prices or fuel efficiency, classification tasks to categorize cars, and clustering to group similar cars for market segmentation. The car dataset's extensive range of attributes makes it a valuable tool for both practical and theoretical applications in automotive analysis.
DOI: 10.17632/ynghdr2msn.1
title: Systematics and evolution of predatory flower flies (Diptera: Syrphidae: Syrphinae ) based on exon-capture sequencing

description: Syrphidae, one of the most species-rich dipteran families, provides important ecosystem services such as pollination, biological control of pests, recycling of organic matter, redistributions of essential nutrients, among others. Flower fly adults show a common feeding strategy on pollen and nectar, but their larval feeding habits are strikingly diverse. In the present study high-throughput sequencing was used to capture and enrich exons as a genome reduction method for the first time for any Diptera group. With the help of the BaitFisher software, we developed a new bait kit (SYRPHIDAE1.0) to target 1945 CDS regions belonging to 1312 orthologous genes. This new bait kit was successfully used to exon-capture the targeted loci in 121 flower fly species across the different subfamilies of Syrphidae. We analyzed different amino acid and nucleotide data sets (1302 loci and 154 loci) with the Maximum Likelihood and the Multispecies Coalescent approaches. Our maximum-likelihood and coalescent-based analyses resolved highly supported similar topologies, although the degree of the SRH (global stationary, reversibility and homogeneity) conditions varied greatly between amino acid and nucleotide data sets. The sisterhood of Pipizinae and Syrphinae is recovered in all our analyses, confirming a common origin of taxa feeding on soft-bodied arthropods. Based on our results, we define Syrphini stat.rev. to include the genera Toxomerus and Paragus. Our divergence estimate analyses with BEAST inferred the origin of the Syrphidae in the Lower Cretaceous and the diversification of predatory flower flies occurred around the K-Pg boundary.
DOI: 10.17632/j26n3rjbv6.1
title: NMR data of isolated compounds (1-12)

description: NMR spectra of quercetin (1), kaempferol (2), rhamnetin (3), quercitrin (4), hyperoside (5), reynoutrin (6), guaijaverin (7), afzelin (8), astragalin (9), rutin (10), kaempferol-3-O-rutinoside (11), and rhamnetin-3-O-rutinoside (12)
DOI: 10.17632/ybxsttf2by.2
title: Seven years simulating hybrid energy systems with Homer Legacy

description: Homer Legacy software is a well-known software for simulation of small hybrid energy systems that can be used for both design and research. This dataset is a set of files generated by Homer Legacy bringing the simulation results of hybrid energy systems over the last seven years, as a consequence of the research work led by Dr. Alexandre Beluco, Federal University of Rio Grande do Sul, in southern Brazil. This dataset is being published in conjunction with a paper in Data Science Journal, which presents further explanations about the hybrid energy systems that were simulated and the papers that publish and discuss the results. The readme.pdf file included in this dataset and the associated article provide more details. These files are made available both for their educational nature, as case studies, and for the possibilities of research that can always be opened from the dissemination of research data. The next steps of this research point to the study of the influence of energetic complementarity on the performance of hybrid systems and to the study of hybrid systems equipped with hybrid storage,
DOI: 10.17632/4dsy9vxxgx.1
title: Airport Data for Artificial Intelligence Forecasting of Air Passenger Throughput

description: The dataset comprises 974 daily observations for each of the five selected major airports, namely Hartsfield-Jackson Atlanta International Airport (ATL), Denver International Airport (DEN), O'Hare International Airport (ORD), Los Angeles International Airport (LAX), and Dallas/Fort Worth International Airport (DFW), encompassing the period from February 15, 2020, to October 15, 2022.  Data observations include daily airport passenger flow from aggregated airport TSA security checkpoint throughput (pax).  Additionally, anonymized Google measured visitor numbers to retail & recreation, grocery & pharmacy stores, parks, transit stations, workplaces, and duration of stay in residential locations (retail, groc, park, transit, work, resident) for the immediate surrounding county where each of the sample airports are located (Fulton, GA for ATL; Denver, CO for DEN; Tarrant, TX for DFW; Los Angeles, CA for LAX; and Cook, IL for ORD) are included, which has been normalized by comparing relative change to baseline days before the pandemic outbreak.  Google Trends data denoting the airport's metropolitan statistical area's search intensity for the keywords "COVID", "flight" and "airport" (srch_cov, srch_flght, srch_airprt) are included.  Lastly, county data for each respective airport for daily COVID-19 related deaths and COVID-19 confirmed cases obtained from the COVID-19 Data Repository by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (cov_death, cov_case) are included.
DOI: 10.17632/y2px5tg92h.4
title: University of Ottawa Rolling-element Dataset – Vibration and Acoustic Faults under Constant Load and Speed conditions (UORED-VAFCLS) 

description: Each set of raw data is obtained at a constant nominal rotational speed and load. Four fault types are collected: inner race, outer race, ball, and cage (five of each type). A total of 20 bearings are tested, where each bearing has three states of data collection: healthy, developing fault, and faulty. As a result, 60 distinct sets of data are included. For all cases, data is collected at a sampling rate of 42,000 Hz for a total 10 seconds per set of data. Raw data is provided in the folders as comma separated values files (.csv), Excel files (.xlsx), and MATLAB files (.mat)

Spectrograms are created from the raw data by using the short-time Fourier transform (STFT), while using a Hanning window to convert the accelerometer and microphone values into 2D images. For each raw data file, 400 spectrogram images are created with a signal length of 512. A total of 24,000 spectrogram images are created, 12,000 images for each of the accelerometer and microphone data files. The processed data are provided in the zip files as portable network graphics files (.png).
DOI: 10.17632/8h488pj89w.2
title: Data for: Automatic calculation of Mercuri grades from CT and MR muscle images

description: This file contains pixel image values of MR and CT images. On this file, we determined the estimating function using Microsoft Excel Solver.
DOI: 10.17632/gtw8rwh3cx.1
title: Dataset on the structural damage from finite element model (FEM) of armour for flexible riser

description: This dataset is on study is on the for the structural damage of flexible riser's armour. It includes the raw data for the simulation conducted on the finite element model (FEM) using ANSYS Mechanical, images and video output from the simulation
DOI: 10.17632/j52xjybbhg.1
title: HS Comorbidity Guidelines JAAD Supplement

description: Supplementary material associated with the publication titled "Comorbidity screening in Hidradenitis Suppurativa: evidence-based recommendations from the US and Canadian Hidradenitis Suppurativa Foundations" by Garg et al.
DOI: 10.17632/jszd6bwvtw.1
title: Nuclear sensing of mitochondrial DNA breaks enhances immune surveillance

description: All data included in manuscript: Tigano et al., 2021. Nuclear sensing of mitochondrial DNA breaks enhances immune surveillance
DOI: 10.17632/w7z6yjkb3y.2
title: Persistent and Transitory Components of Firm Characteristics 6

description: Part 6 of Dataset for replicating Persistent and Transitory Components of Firm Characteristics
DOI: 10.17632/5gvznd2b3n.3
title: TCGA: A TROPICAL CORN GERMPLASM ASSEMBLY FOR GENOMIC PREDICTION AND HIGH-THROUGHPUT PHENOTYPING STUDIES

description: Genomic prediction (GS) studies using diversity panels are essential to identify genetic variations associated with traits of interest in maize. Unfortunately, most of these studies have been conducted on temperate germplasm and on a global germplasm collection in which tropical genotypes are under-represented. Nonetheless, a continuous effort has been directed to improving the accuracy of GS. While genotyping is currently a precise and efficient mechanized process, phenotyping is still laborious, low-throughput, and highly sensitive to environmental variations. Also, extreme shifts in the weather pattern due to climate change complicates the selection of superior genotypes with broad adaptability. In this context, adopting GS models that account for genotypes x environments reaction norms, crop growth models, and environmental covariates should increase the accuracy of genomic predictions. Thus, the objective of this project is to develop a diversity panel of tropical maize for genomic prediction studies that incorporate high-throughput phenotyping, plant growth models, and environmental covariables. For that, 360 tropical maize lines from ESALQ-USP, IAPAR, IAC, and CIMMYT will be genotyped and phenotyped using traditional methods and multispectral imaging in eight environments (two locations, two years, and two seasons). With this data, several GS models will be tested and compared for prediction accuracy and selection coincidence. Besides the development of novel GS models and high-throughput phenotyping protocols in tropical maize, we will also organize, characterize, and publicize a panel of tropical maize lines (data and genetic material) to the scientific community that will serve as the benchmark for new studies of this nature in tropical maize.

FAPESP (2017/24327-0)
DOI: 10.17632/cnwyhh475s.1
title: Effects of Stochastic Wave Forcing on Equilibrium Shoreline Modelling Across the 21st Century Including Sea-Level Rise  

description: This repository gathers the data used to in the research article "Effects of Stochastic Wave Forcing on Equilibrium Shoreline Modelling Across the 21st Century Including Sea-Level Rise", and the resulting dataset.
DOI: 10.17632/jjnp5htfhk.1
title: Prototipo de la interfaz del Agente Conversacional Pedagógico y el algoritmo de su sistema dialógico para la tutoría en el desarrollo del Proyecto Integrador de Saberes

description: Prototipo de la interfaz del Agente Conversacional Pedagógico (ACP) y el algoritmo de su sistema dialógico para la tutoría en el desarrollo del Proyecto Integrador de Saberes (PIENSA) de la Universidad Nacional de Educación (UNAE) de Ecuador.
DOI: 10.17632/nmpysh32zm.1
title: Data for: Survey dataset on the prevalence of childhood maltreatment history among drug addicts in Malaysia

description: The dataset provides demographic information on 200 drug addicts recruited from two rehabilitation centres in Malaysia, the prevalence of different types of childhood maltreatment history measured by using the Childhood Maltreatment Questionnaire Short-Form (CTQ-SF).
DOI: 10.17632/k4gjpnj5hb.1
title: Detailed and Replicable Guide in Data

description: Detailed and Replicable Guide in Data
DOI: 10.17632/wmx9jj2htd.1
title: Towards Comprehensive Cyberbullying Detection: A Dataset Incorporating Aggressive Texts, Repetition, Peerness, and Intent to Harm

description: The increasing usage of social media networks has raised concerns about the growing frequency of cyberbullying incidents. Cyberbullying is characterized by aggressive, repetitive, and intentional communication among peers. However, most existing datasets for cyberbullying detection only focus on aggressive texts classified as aggressive or non-aggressive, disregarding the other three aspects of cyberbullying. This paper proposes a new dataset incorporating all four aspects of cyberbullying to address this gap. The text messages are sourced from a real dataset*, while the users' data is generated synthetically. The resulting dataset contains messages exchanged randomly among different pairs of users, thus inculcating repetition. Additionally, the degree of peerness, defined and calculated to measure the likelihood of two users being peers, is used. As a result, this dataset encompasses all four aspects of cyberbullying by providing repeated aggressive messages among users along with quantitative values of the degree of peerness and intent to harm.. Text Messages sourced from: Elsafoury, "Cyberbullying datasets," Mendeley. com, 2020. [Online]. Available: https://data. mendeley. com/datasets/jf4pzyvnpj/1.
DOI: 10.17632/3f6fn8343d.1
title: Replication files for "Macroprudential capital requirements, monetary policy, and financial crises"

description: Files allow to reproduce all tables, figures and further data in the article "Macroprudential capital requirements, monetary policy, and financial crises".
DOI: 10.17632/6bhm5zbs7f.1
title: Latvian Used-car Market Announcements Monitoring in 2023

description: Used-car market monitoring was started in 2018, 03 January, when Federal Administrative Court in Leipzig (Germany) allowed cities and communes in Germany to impose bans for diesel cars in order to reduce the level of nitric oxide in the air. This data-set represent 6th year of market monitoring, 2023. This research represent passenger vehicles only. Database represent main important used cars characteristics at the market such as price, motor type (diesel and so un), gearbox type, auto color, car body type, following technical inspection date, set of car. The 2023 year database analysis results shows changes in the used-car market taking into account pan-European trends towards increasing requirements for environmentally friendly cars. In subsequent years, the research will continue, given the increasing need to switch completely to zero emission transport in the EU.