cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z4ry54hccb.1
title: Extreme thunderstorm ground enhancements registered on Aragats in 2023

description: We present the catalog of thunderstorm ground enhancements (TGEs) collected by 24/7 monitoring of various particle fluxes, environmental parameters, and near-surface electric fields on the slopes of Mt. Aragats in Armenia in 2023. Previously, we published in Mendeley the catalog of TGE events registered in 2013-2022. In the posted dataset are shown 12 parameters of 55 TGEs observed in 2023. From the links to each TGE event, all multivariate measurements from the hundreds of registration channels are available. We present our measurements on a user-friendly site, allowing further correlation analysis by colleagues worldwide. The users are provided with multivariate data to continue the research and come to new interesting physical results. The survey of TGE physics and TGE selection procedure users can be found in the paper attached to the dataset, the details of Aragats station facilities, and data analysis methods in the WiKI section of ADEI, accessible from links in the dataset.

EXEL file description: TGE dataset for 2023

In the first column of the table, we put the date of the TGE. In the second - the links to the TGE picture at the ADEI data analysis platform. From these links whole database with hundreds of measuring channels operated from 2008 (in 2008-2013 without electric sensors and weather stations) is available. In the third to fifth columns of the table, we show the TGE significance - the percent of flux enhancement relative to fair weather value measured just before TGE. 3 particle detectors were used, plastic scintillators with 1 m2 area and thicknesses of 1,3 and 5 cm. In the sixth and seventh columns, we post the outside temperature and the dew point. In the eighth column, we show the distance to the cloud base in meters. In the ninth column, we show the strength of the near-surface electric field (NSEF) measured on the maximum of the TGE by the EFM-100 sensor of BOLETEK company. In the tenth column, we post the minimum and maximum NSEF values measured during TGE. In the eleventh column, we show the distance to the nearest lightning flash that occurred during TGE. In the twelfth column, we put the code 1 if a lightning flash abruptly terminated TGE and 0 if it didn’t. In the 13th column is the time of the TGE start, and in the 14th is - the TGE duration.
DOI: 10.17632/55wmmr8j3g.1
title: Facial Recognition Dataset FULL (part 3 of 4)

description: Includes face images of 11 subjects with 3 sets of images: one of the subject with no occlusion, one of them wearing a hat, and one of them wearing glasses. Each set consists of 5 subject positions (subject's two profile positions, one central position, and two positions angled between the profile and central positions), with 7 lighting angles for each position (completing a 180 degree arc around the subject), and 5 light settings for each angle (warm, cold, low, medium, and bright). Images are 5184 pixels tall by 3456 pixels wide and are saved in .JPG format.
DOI: 10.17632/zwwf46dydh.1
title: Ethical decision-making dynamics

description: Data used for PLS-SEM analysis
DOI: 10.17632/vyczny2r4w.1
title: A New Benchmark Dataset Towards Ubiquitous P300 ERP-based BCI Applications

description: This dataset contains the data of 18 subjects participated in a P300-based BCI speller experiment
with the row column paradigm. Each subject spelled 160 characters throughout 10 blocks. EEG data of each block
is stored in an eeg file.
DOI: 10.17632/7kv3rctx7m.1
title: EHR Dataset for Patient Treatment Classification

description: The dataset is Electronic Health Record Predicting collected from a private Hospital in Indonesia. It contains the patients laboratory test results used to determine next patient treatment whether in care or out care patient. The task embedded to the dataset is classification prediction.
DOI: 10.17632/d5bkrw57vn.1
title: Transcripts from group interview

description: Group interviews were conducted among university staff (administrative, academic, cleaning and catering staff) and students First year undergraduate, post-graduate taught masters, post-graduate PhD and international students) at the University of Derby to understand their perceived enablers and barriers to physical activity. 

The group interview schedule was developed using the 14 domains of the Theoretical Domains Framework (TDF) (social influences; environment context and resources; social/professional role and identity; beliefs about capabilities; beliefs about consequences; Optimism; Intentions; goals; emotion and reinforcement; knowledge; cognitive and interpersonal skills; memory, attention and decision processes; behavioural regulation; and physical skills). The aim of the study was to understand the domains of the TDF that were perceived to be enablers and/or barriers to physical activity engagement among university staff and students.
DOI: 10.17632/vpvbx5hypr.1
title: Airbnb Places in Dominican Republic

description: This dataset has detailed information on 5038 Airbnb listings in several important tourist areas of the Dominican Republic: Santo Domingo, Punta Cana, Boca Chica, Juan Dolio, Puerto Plata, La Romana, Bayahibe, Cabarete, Sosua, and Samaná. The idea behind this research is that specific factors of the accommodations, like location, maximum guest capacity, user ratings, and additional features (like instant booking or pet-friendly options), significantly influence user preferences and accommodation prices in these regions.
This dataset is very useful for researchers, tourism professionals, and data analysts who want to understand what factors affect user preferences on Airbnb in the Dominican Republic. The data can be used to analyze the market, set pricing strategies, evaluate host quality and performance, research trends in traveler preferences, and develop models to predict accommodation prices.
In the file "Hospedajes_RD-CLEANED", you'll find the cleaned original dataset, while in "Hospedajes_RD-RAW," you'll find the dataset with missing values filled in using the K-Nearest Neighbor (KNN) model. I'm offering both the original and the filled-in datasets so users can choose the one that suits them best.
DOI: 10.17632/mzdwkb2t6d.1
title: SauDial: The Saudi Arabic Dialects Game Localization Dataset

description: SauDial: The Saudi Arabic Dialects Game Localization Dataset is a curated collection of parallel text samples designed for video game localization. It features content in English, Modern Standard Arabic (MSA), and four major Saudi dialects: Najdi, Hijazi, Janoubi, and Eastern. The dataset was initially generated using the OpenAI GPT-4o model and refined with pre-compiled dialect-specific resources.

Each entry in the dataset includes:
- Original English text
- MSA translation
- Dialectal translation
- Game context and age rating information
- Linguistic notes on dialect features

The content covers various game genres, scenario types, tones, and age ratings, making it versatile for different game development needs. The dataset underwent thorough cleaning and editing to ensure dialectal accuracy, tonal appropriateness, and cultural fidelity.

This resource is valuable for:
- Game developers and localization teams
- Researchers in translation, cultural, localization, and game studies
- Training and fine-tuning Large Language Models (LLMs)
- Educational purposes in translation and localization studies
- Professional translators and localizers as a specialized translation memory (TM)

The dataset aims to streamline game localization processes and enhance the authenticity of Arabic language representation in video games, particularly for the Saudi market.
DOI: 10.17632/3zkcvybvkz.2
title: Clinical and sociodemographic data on congenital syphilis cases, Brazil, 2013-2022

description: This data set presents clinical and sociodemographic data regarding antenatal care, pregnant women's outcomes, the result of the mother's first syphilis test, and their children's Venereal Disease Research Laboratory (VDRL) test results, which is a screening test for congenital syphilis at childbirth, from the cities served by the Mãe Coruja Pernambucana Program (PMCP) in the State of Pernambuco, Brazil, between the years of 2013 and 2022. There are 47,604 records and 27 attributes in the data set, including 1002 positive cases and 46,602 cases of congenital syphilis.

The PMCP is a social program created by the Brazilian government of the state of Pernambuco that aims to offer support to pregnant women before and after the birth of their children through Sistema Único de Saúde (SUS), the Brazilian public healthcare system, monitoring the evolution of children up to the age of 5 years and ensuring their healthy and harmonious development during the first years of life.

This data set contains two CSV files: the "data_set.csv" file contains the pre-processed data set, and the "attributes.csv" file contains information about each attribute.
DOI: 10.15468/dl.ty6et7
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009189-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/r4fn4hbc8k.1
title: Dataset: Enterprise Resource Planning Survey for quality assessment

description: This dataset is designed to assess various aspects related to the usage and perception of Institutional ERP (Enterprise Resource Planning) systems. It provides valuable insights into user experiences, satisfaction levels, and system effectiveness.
The dataset includes the following parameters:
Usage of Institutional ERP: Indicates whether respondents are utilizing the institutional ERP or a similar system.
Data Availability: Determines if users are obtaining the required data from the ERP system.
Understanding of Generated Information: Assesses the ease of understanding information generated by the ERP system.
Data Format: Identifies the formats in which required data/reports are generated (e.g., PDF, Excel, graphs).
Hierarchy of Data Availability: Explores the existence of data availability hierarchy and user-level categories (e.g., Faculty level, HoD level).
User-Friendliness: Evaluates the system's user-friendliness and ease of use.
Improvement Needs: Determines if there's a need to enhance display or language within the ERP system.
Loading Time: Estimates the expected time for each page of the system to load.
Accessibility: Assesses if the ERP system should be accessible from any location outside the institutional campus.
Availability: Determines if the ERP system should be available 24*7.
Technical Support: Evaluates the empathy and timeliness of response from technical support staff.
Online Assistance Requirement: Explores the necessity of online assistance or help desk support.
Infrastructure Adequacy: Assesses if the system infrastructure adequately fulfills user requirements.
Data Quality: Evaluates the sincerity, genuineness, and confidentiality of data.
Response Quality: Rates the quality of responses and assistance provided by the ERP system.
Overall Experience: Allows users to rate their overall experience working with the ERP system.
Effectiveness and Efficiency: Assesses the overall effectiveness and efficiency of the ERP system.
User Comfort and Satisfaction: Rates the level of user comfort and satisfaction with the ERP system.
Report Generation Quality: Rates the quality of information and report generation through the ERP system.
User Interface Usability: Evaluates the usability and effectiveness of user interfaces within the ERP system.
ERP Aesthetic: Rates the appearance, color combination, and overall aesthetic of screens within the ERP system.
Timely Assistance: Rates the timeliness of assistance and support provided by the ERP team.
Preferred Training Mode: Identifies preferred modes of training for system usage.
These parameters collectively offer valuable insights into user experiences, satisfaction levels, and areas for improvement within Institutional ERP systems.
DOI: 10.17632/2yjwrft6nr.1
title: Household water consumption dataset

description: The experimental setup was installed in a house with a Solar water heater (capacity 300 Liters) that gets filled every midnight at 12.00 onwards from Tank 1. Hence, the level changes logged for Tank 1 during the hours 00.00 to 03.00 am are high. During the rest of the day, the consumption is that of a regular household. The household has four adult occupants, with three occupants leaving the house by 10.00 am every weekday and returning by 4.00 pm. Tank 1 is used for supplying all household needs. Tank 2 is used only for gardening purposes. The house chosen for the experiment has two tanks. Sump is underground, from which the water is pumped to the overhead tanks Tank 1 and Tank 2. An Ultrasonic distance sensor is mounted near the top of each tank that monitors and logs the distance of the water surface from the sensor at fixed intervals. There are 13 sets of data for Tank 1 and 16 sets of data for Tank 2. The description reg. these datasets are given in Tank 1-Data Description.xlsx and Tank 2-Data Description.xlsx, respectively. The data logged is the vertical distance of the water surface in the tank from the sensor's location. The minimum reading of sensor is 19 cm which indicates full tank and the maximum reading is 88cm which indicates an empty tank. So to calculate the percentage of tank that has been filled as of now, we use the formula: percent_full=100-(100*(data-19)/(88-19))) The data is logged once very 15 seconds. The data logged is the one adjusted with calibration equation. Hence, the logged value is: level(t)=p1*sensor_reading(t)+p2 The equation found using OLS regression. Sensor calibration results: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = 1.033 (1.024, 1.042) p2 = 1.187 (0.7033, 1.67) Goodness of fit: SSE: 7.109 R-square: 0.9995 Adjusted R-square: 0.9995 RMSE: 0.4951
DOI: 10.15468/dl.wwbkv5
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus brutia Ten.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 268 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009190-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3jdywv5jrv.3
title: Profiling B cell immunodominance after SARS-CoV-2 infection reveals antibody evolution to non-neutralizing viral targets, Dugan et al. 2021

description: This study was designed to capture the single cell transcriptome and BCR sequence of B cells that were bait sorted using oligo-tagged viral antigens. Human B cells (viable/CD19+/antigen-PE+ or viable/CD19+/antigen-APC+) were bait sorted after initial magnetic enrichment and used in downstream sequencing. PROTOCOLS: PBMCs were isolated from whole blood (acute samples) or leukoreduction filters (convalescent samples) by use of a Lymphoprep Ficoll gradient and any contaminating red blood cells were lysed by ACK buffer. Cells were then frozen at -80 deg C in fetal bovine serum supplemented with 10% DMSO. On the day of sorting and sequencing cells were thawed and B cell were purified by human pan B cell EasySep enrichment kit from STEMCELL technologies. Cells were partitioned into nanoliter-scale Gel Bead-In-EMulsions (GEMs) to achieve single cell resolution for a maximum of 10,000 individual cells per sample. Utilizing the Chromium Single Cell A Chip Kit(10x Genomics, PN-120236) and Chromium Single Cell 5' Library & Gel Bead Kit (10x Genomics, PN-1000006) , poly-adenylated mRNA from an individual cell was tagged with a unique 16 base pair 10x barcode and 10 base pair Unique Molecular Identifier. Libraries were generated using the Chromium Single Cell 5' Feature Barcode Library Kit (10x genomics, 1000080) and the Chromium Single Cell V(D)J Enrichment Kit Human B Cell (10x Genomics, PN-1000016). The cDNA amplicon size for each library was optimized using enzymatic fragmentation and size selection and the concentration and average fragment size of each library was determined using an Agilent High Sensitivity DNA Kit (Agilent). Specifically, user guide CG000186 Rev D was used for all steps. All libraries were sequenced on an Illuina NextSeq550 or an Illumina NextSeq500 with 26 cycles apportioned for read 1, 8 cycles for the i7 index, and 134 cycles for read 2 using an NextSeq 500/550 High Output Kit v2.5 (150 Cycles). Some samples were sequenced using a NextSeq 550 housed within the Pritzker School of Molecular Engineering's Chicago Immunoengineering Innovation Center (Chicago, IL) and others on a NextSeq500 belonging to the University of Chicago Genomics Facility (Chicago, IL - RRID: SCR_019196) DATA PROCESSING PIPELINE: Demultiplexing the Illumina sequencer's base call files (BCLs) for each flowcell directory into FASTQ files was performed by "cellranger mkfastq" (cellranger version 3.02) Gene counts were calculated using "cellranger count" (cellranger version 3.02) under default setting， BCR sequences were assembled using "cellranger vdj" (cellranger version 3.02) under default setting. GRCh38-1.2.0 for transccriptome, cellranger-vdj-GRCh38-alts-ensembl-2.0.0 for V(D)J
DOI: 10.17632/swzhrt5x78.1
title: Menuju Perencanaan Lansekap Apartemen yang Berkelanjutan Setelah Covid-19:Perencanaan Berdasarkan Fenomena atau Hanya Atas Faktor Landasan Kebutuhan Kapitalisme?

description: Landscape design will always experience development following dynamic human needs and the demands of changing times. With the Covid-19 phenomenon, planning for apartment landscaping needs is a big question where to change, because big cities will always develop and the Covid-19 phenomenon makes disaster management landscape planning a basic consideration that needs to be the basis for breaking down. in which direction new concepts need to be developed. This analysis was carried out qualitatively, trying to analyze and take case examples as well and evaluate them so that elements that need to be considered in the landscape design of apartments in the future can be identified. The results of this study are in the form of a comparison between the 3 cases of apartments built in different periods between 2009-2016. Recommendations for this research are in the form of proposals for regulatory provisions on the ratio of the percentage between the function of housing and commercial infrastructure, implementing existing regulations regarding infrastructure (from the Ministry of Public Works) more consistently, regulatory provisions regarding vegetation rules that are in accordance with environmental rules and the degradation that occurs, the proportion child-friendly playrooms, and reviewing and implementing adaptations of spatial adaptations that occur as adaptations to spatial planning after a pandemic that is oriented towards long-term urban and community sustainability Perancangan lansekap akan senantiasa mengalami perkembangan mengikuti kebutuhan manusia yang dinamis dan tuntutan perubahan zaman. Dengan adanya fenomena Covid-19 juga menjadikan perencanaan kebutuhan lansekap apartemen menjadi pertanyaan besar ke mana akan mengalami perubahan, karena kota-kota besar akan senantiasa berkembang dan fenomena Covid-19 menjadikan disaster management perencanaan lansekap menjadi pertimbangan dasar yang perlu menjadi landasan dalam mem-breakdown ke arah mana konsep-konsep baru perlu dikembangkan. Analisis ini dilakukan secara kualitatif, berupaya menganalisis dan mengambil contoh-contoh kasus pula dan mengevaluasinya sehingga dapat diketahui elemen-elemen yang perlu diperhatikan dalam perancangan lansekap apartemen di masa mendatang. Hasil dari penelitian ini adalah berupa perbandingan antara ke-3 kasus apartemen yang dibangun pada periode berbeda antara tahun 2009-2016. Rekomendasi penelitian ini adalah berupa usulan ketetapan regulasi perbandingan prosentase antara fungsi perumahan dan sarana prasarana komersial, menerapkan regulasi yang ada mengenai sarana prasarana (dari Kementerian PU) secara lebih konsekuen, ketetapan regulasi mengenai aturan vegetasi yang sesuai kaidah lingkungan hidup dan degradasi yang terjadi, proporsi ruang bermain anak yang ramah anak, dan mengkaji serta menerapkan adaptasi adaptasi ruang yang terjadi sebagai adaptasi terhadap perencananaan ruang yang berorientasi keberlanjutan kota dan masyarakat secara jangka panjang.
DOI: 10.17632/4d55gzwt4f.1
title: Attitude toward marriage

description: SPSS and AMOS outputs
DOI: 10.17632/cx5sr2dgrr.1
title: Batik Nitik Sarimbit 120

description: Batik, deeply interwoven into the cultural tapestry of Indonesia, carries profound cultural and philosophical meanings within each intricately designed motif. This paper introduces the Batik Nitik Sarimbit 120 dataset, originating from the vibrant city of Yogyakarta, Indonesia. This dataset showcases 60 meticulously captured Nitik motifs, generously provided by the esteemed Paguyuban Pecinta Batik Indonesia (PPBI) Sekar Jagad Yogyakarta. Comprising a total of 120 images arranged in 60 pairs, the dataset was painstakingly captured using a Sony Alpha a6400 camera, meticulously adjusted under Godox SK II 400 lighting conditions, and subsequently formatted to jpg for standardization. This rich and comprehensive dataset serves as an invaluable resource for training and validating machine learning algorithms, particularly within the burgeoning field of generative adversarial networks (GANs). By leveraging this dataset, researchers and practitioners can delve into the intricate world of batik artistry, exploring avenues for computational creativity and innovation. The dataset's diversity and meticulous curation offer ample opportunities for studying the nuances of batik design and advancing the frontier of artificial intelligence in cultural heritage preservation. This scholarly contribution not only enriches our understanding of batik but also paves the way for future advancements in machine learning-driven creative endeavors.
DOI: 10.17632/mfd2vc9gjg.1
title: “Slowed down temporal vein refilling as diagnostic pearl in frontal fibrosing alopecia”

description: Video of the manuscript “Slowed down temporal vein refilling as diagnostic pearl in frontal fibrosing alopecia”