cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/sf43p48bj4.1
title: Smoke movement in high rise building under various ventilations

description: The research focused on determining the performance of natural and mechanical smoke control systems in a high rise building fire. Generally, it is known that the flow rate for mechanical ventilation is fixed and that of the natural ventilation depends on the fire size. Therefore in the initial stage, the flow rate of a mechanical ventilation system is greater than that of a natural ventilation system. As the fire grows the performance of the two smoke control systems is investigated through the neutral plane, smoke movement pattern and fire released heat as well as the heat transfer and temperature of the structure during the high rise building fires which are all controlled by the flow rate. The data shows the average smoke velocities and the average temperatures during the high rise building fire. The temperatures and velocities were measured using thermocouples and velocity sensors respectively. The thermocouples and velocity sensors were placed in the middle of each floor of the high rise building. Each floor consisted of a room and a stairwell therefore the average temperature or velocity for every floor was obtained by averaging the figures in the room and stairwell of each floor. The height of each floor was 3m high. The average temperatures in the lower floors near the fire origin were higher than those in the upper floors that were far away from the fire origin . There was a general decrease in temperature with corresponding height from the floor of fire origin . The reduction in smoke temperature could be attributed to cooling by the obstructions as well as air mixture during the upward movement process. For the natural ventilation system, the average temperatures in the floor of fire origin decreased with increasing fire heat release rates whereas the average temperatures of the floor of fire origin for mechanical ventilation increased with increasing fire heat release rates. The velocity of smoke could determine the smoke movement pattern and fire released heat. The smoke movement pattern was in a vortex, which is circular as it migrated upward the stairwell and the upper floor rooms. At the tread in each floor of the stairwell, the pattern of circular motion was observed. However, it was observed that the direction of smoke flow under the stairwell tread in the upper floors was changed from vertical to horizontal and then migrated upward. This flow pattern was repeated and the phenomenon was similar to other fire heat release rates. The velocity of smoke was greater in the vortices and many vortices were located in the lower floors as confirmed by the greater turbulence within those regions. It can be said that the smoke velocity is affected by temperature.
DOI: 10.17632/dnpbrh3nv7.1
title: Digital Entrepreneurship Study Dataset from 1993 to 2019

description: The digital entrepreneurship research & publication dataset, which was indexed by Scopus from 1993 to 2019. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, abstract, index keywords, references, Correspondence Address, editors, publisher, conference name, conference date, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/jj3tw8kj6h.3
title: Driving Behavior Dataset

description: Dataset for modeling risky driver behaviors based on accelerometer (X,Y,Z axis in meters per second squared (m/s2)) and gyroscope (X,Y, Z axis in degrees per second (°/s) ) data. 
Sampling Rate: Average 2 samples (rows) per second
Cars: Ford Fiesta 1.4,  Ford Fiesta 1.25, Hyundai i20
Drivers: 3 different drivers with the ages of 27, 28 and 37
Driver Behaviors: Sudden Acceleration (Class Label: 1), Sudden Right Turn (Class Label: 2), Sudden Left Turn (Class Label: 3), Sudden Break (Class Label: 4)
Best Window Size: 14 seconds
Sensor: MPU6050
Device: Raspberry Pi 3 Model B
Please See Summary Table for summary of the collected data.
DOI: 10.17632/knvjn4ns5m.1
title: “Indicadores Económicos Mensuales Seleccionados” de Puerto Rico del 2019.

description: Indicadores Economicos 2019 y su referencia.
DOI: 10.17632/nnw4z5dh4f.2
title: Industrialization of All-Solid-State Battery production technologies: Data of an online survey among battery experts

description: All correlated data were collected with the help of an online survey amongst battery experts in the year 2021. The main goal was the identification of technical and economic barriers for the mass production of all-solid-state batteries.
DOI: 10.17632/yv83mmg2fy.1
title: Multiparametric prognostic scores in chronic heart failure with reduced ejection fraction: a long-term comparison

description: AIMS: Risk stratification in heart failure (HF) is crucial for clinical and therapeutic management. A multiparametric approach is the best method to stratify prognosis. In 2012, the Metabolic Exercise test data combined with Cardiac and Kidney Indexes (MECKI) score was proposed to assess the risk of cardiovascular mortality and urgent heart transplantation. The aim of the present study was to compare the prognostic accuracy of MECKI score to that of HF Survival Score (HFSS) and Seattle HF Model (SHFM) in a large, multicentre cohort of HF patients with reduced ejection fraction. METHODS AND RESULTS: We collected data on 6112 HF patients and compared the prognostic accuracy of MECKI score, HFSS, and SHFM at 2- and 4-year follow-up for the combined endpoint of cardiovascular death, urgent cardiac transplantation, or ventricular assist device implantation. Patients were followed up for a median of 3.67 years, and 931 cardiovascular deaths, 160 urgent heart transplantations, and 12 ventricular assist device implantations were recorded. At 2-year follow-up, the prognostic accuracy of MECKI score was significantly superior [area under the curve (AUC) 0.781] to that of SHFM (AUC 0.739) and HFSS (AUC 0.723), and this relationship was also confirmed at 4 years (AUC 0.764, 0.725, and 0.720, respectively). CONCLUSION: In this cohort, the prognostic accuracy of the MECKI score was superior to that of HFSS and SHFM at 2- and 4-year follow-up in HF patients in stable clinical condition. The MECKI score may be useful to improve resource allocation and patient outcome, but prospective evaluation is needed.
DOI: 10.17632/kdtcxsv8by.1
title: Data for: English only? Monolinguals in linguistically diverse contexts have an edge in language learning

description: Data for adult monolingual university students living in two different locations (central Pennsylvania: PSUM; southern California: UCRM) who were explicitly taught Finnish vocabulary and implicitly taught Finnish vowel harmony over the course of two sessions (Finnish2 and Finnish3), and then tested on how well they learned the studied items and how well they could generalize the vowel harmony rule to novel items at test. Behavioral (DPrime) and ERP measurements were taken.
DOI: 10.17632/y6m6srg7wp.1
title: Data for Seismic Traveltime Inversion Tomography beneath the Malay Peninsula

description: Input and some output data for the seismic traveltime inversion algorithm, VELMODE.
DOI: 10.17632/stvbwxr6s6.1
title: Data set for predicting student performance using bloom taxonomy

description: This dataset contains the examination records of students exams in online learning environment with bloom taxonomy.
This dataset is use to develop a predicting model to measure the student performance.
DOI: 10.17632/957mmypbjy.1
title: Benchmark for High precision Anomaly Detection

description: We selected and collected some datasets from MVTec AD, Visa AD, MDPP, etc., and processed them with white noise to make them more suitable for testing the performance of the model in real industrial scenarios. At the same time, threshold and other information have been set, and the threshold setting can be referred to anomaly_mask.json（ https://github.com/jzc777/MAPL ）
DOI: 10.17632/cdprjz73rz.1
title: Efficient degradation of high-concentration benzotriazole wastewater via UV/H2O2/O3 operation: degradation mechanism, toxicological evaluation, and economic analysis          

description: The original data of the paper named "Efficient degradation of high-concentration benzotriazole wastewater via UV/H2O2/O3 operation: degradation mechanism, toxicological evaluation, and economic analysis".
DOI: 10.17632/ydn9xmwn6w.1
title: Walkability item measurements Spanish cities

description: The public space in cities and towns, made up of lanes, squares and parks, is a continuous area that shapes a network that is the community’s responsibility.To a certain extent, it is the place where human beings are related, a shared place, and the social essence of cities. Among its most important missions, the public space is used to support different types of traffic, traditionally pedestrian and motor vehicle traffic, where moving around on bicycles and other vehicles of similar speed must be currently contemplated.The main reason to study the walkability in a city lies in the conflict that arises about the circulation of pedestrians with that of motor vehicles. Vehicle traffic requirements and circumstances have been well-studied. The number of vehicles that drive down streets, times waiting at traffic lights, the repercussion of paved roadway width and number of lanes, influence of speed, among others, all allow the traffic network to be assessed and measures to be taken to perfect its operation in those places that present deficiencies. Gener-ally speaking however, analysing a road system does not consider pedestrians. Urban designers work with certain design items at the most that work better or worse, but never stop to analyse the reasons why citizens choose to walk along some streets rather than others, even when pedestri-ans are the main users of urban areas.
DOI: 10.15468/dl.67utwg
title: Occurrence Download

description: A dataset containing 3977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus persica (L.) Stokes",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 3977 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009338-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9s7mh7m8r3.1
title: Data for: Inertia in partnerships: The role of gender

description: Data is about to test inertia in partnerships.
DOI: 10.17632/2xf5v5pwkr.1
title: SAR despeckling filters dataset

description: The dataset consists of images downloaded from https://search.asf.alaska.edu/#/, without taking georeferencing into account. Specifically, 10 SAR images were taken from Sentinel-1 in Level 1 Detected High-Res Dual-Pol (GRD-HD), polarization VV. With this set of images provided by ASF DATA SEARCH, a rescaling to 8-bit integer images was performed, all of them were registered (aligned) with respect to one reference image, and then a multitemporal fusion was performed by averaging all of them. The averaging process integrates all ten images, pixel by pixel in a single one, resulting in one single image. Finally, one of the 10 downloaded images (noisy) is taken and split into 1600 data with dimensions of 512x512 pixels, and then this data set is separated into 1500 images (training) and 100 (validation). This process is also performed for the image resulting from the fusion of 10 images (noiseless), generating another 1600 images. The root folder includes the "Main folder" which contains four subfolders, namely: Noisy: 1500 SAR noisy images for training Noisy_val: 100 SAR noisy images for validation GTruth: 1500 noiseless images for training GTruth_val: 100 noisless images for validation The images are in TIFF (Tagged Image File Format) with values from 0 to 255 uint8.
DOI: 10.17632/745bpf597f.1
title: An annotated dataset for gene-melanoma relation extraction from scientific literature

description: Melanoma is the least common but the deadliest of skin cancers. This cancer begins when the genes of a cell suffer damage or fail, and identifying the genes involved in melanoma is crucial for understanding the melanoma tumorigenesis. To date, machine learning for gene-melanoma relation extraction from text has been limited by the lack of annotated resources.  To overcome this problem, we have exploited the information of the Melanoma Gene Database (a manually curated database of human melanoma related genes) to build an annotated dataset of binary relations between genes and melanoma entities mentioned in PubMed abstracts. The exploitability of the dataset was tested with both traditional machine learning, and neural network-based models. These models are then used to automatically extract gene-melanoma relations from the biomedical literature. Researchers can use the annotated dataset to develop and compare their own models. Moreover, the relations extracted from the literature can be integrated with existing structured knowledge to facilitate researchers in their data search.
DOI: 10.17632/mfjj4zknv8.2
title: Data from: 'Whole genome data confirm pervasive gene discordance in the evolutionary history of Coenonympha (Nymphalidae) butterflies'

description: Phylogenetic inference is challenged by genealogical heterogeneity amongst genetic markers. Such discordance is driven predominantly by incomplete lineage sorting (ILS) and interspecific gene flow, and bears attendant consequences for the accurate resolution of species relationships. Understanding the distribution of gene conflict in organismal genomes is, therefore, a key aspect of phylogenetic analysis. In the study associated with this repository, three large phylogenomic datasets (i.e., whole mitogenomes, conserved nuclear protein-coding loci, and genomic windows) were used to probe the extent to which discordance pervaded the unresolved phylogeny of Coenonympha (Nymphalidae) butterflies. Discordance was found to be elevated at multiple historically recalcitrant phylogenetic positions. In particular, species relationships near the crown of Coenonympha and within a rapidly diversifying subclade (the hero group) remained difficult to resolve, suggesting that ILS and gene flow have obscured the evolution of this genus. These findings have implications for the taxonomy of this butterfly group and the study of its diversification history. In addition, this work lended support to a growing body of evidence that gene conflict driven by biological processes stands to confound phylogeny, even when extensive data are used.
DOI: 10.17632/y872vhtfrc.2
title: SPEECh Model for Study on Grid Impacts of Charging Infrastructure Access

description: This data set accompanies the github repository - https://github.com/SiobhanPowell/speech-grid-impact - and supports the research paper, "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption", submitted in 2021. This paper uses a novel, data-driven model of electric vehicle drivers' charging behaviours to study the grid impacts of charging infrastructure access and control at deep levels of electric vehicle adoption. 

The files here include five folders: (1) a Data folder containing models of driver charging behaviour that should be downloaded to run the Github model; (2) normalized load profiles for each driver group, giving the per vehicle daily load profile in kW; (3) the charging profiles produced for each of the main WECC grid scenarios studied in the paper; (4) the control objects learned to model workplace charging control; and (5) objects needed to run the grid dispatch model. Note in (3) those with suffix _20220313 are the main estimate of WECC demand while those with suffix _20211119 give the demand as if there were one timezone in WECC (used for illustration).

Authors: Siobhan Powell (siobhan.powell@stanford.edu), Gustavo Vianna Cezar, Liang Min, Prof Ines Azevedo, and Prof Ram Rajagopal (ramr@stanford.edu).
DOI: 10.17632/4rn3srhdny
title: The Effect of Intercropping with Cocos nucifera L. on the Growth and Quality of Pandanus amaryllifolius Roxb. in Hainan island, China

description: This study contribute to the identification of key regulatory factors for improving the growth and quality of Pandan in Coconut intercropping system, providing a theoretical basis for optimizing and promoting the adoption of intercropping mode involving Coconut and Pandan.
DOI: 10.17632/r34sk3mg2r.1
title: SUPPLEMENTARY MATERIAL - Sustained hair regrowth with continued ritlecitinib treatment through Week 48 in patients with alopecia areata with or without early target responses: post hoc analysis of the ALLEGRO phase 2b/3 trial

description: Supplemental Data, Plain Language Summary, and Video Abstract to accompany article: Piliang et al., Sustained hair regrowth with continued ritlecitinib treatment through Week 48 in patients with alopecia areata with or without early target responses: post hoc analysis of the ALLEGRO phase 2b/3 trial
DOI: 10.17632/tjw3zwntv6.1
title: Retina Identification Database (RIDB)

description: Retina Identification DataBase (RIDB) is comprised of Retinal Fundus Images captured using the TOPCON-TRC camera. The dataset contains 100 images with 1504 x 1000 resolution compressed in JPEG format, captured from 20 individuals ( five samples per person ) with no retinal disease. RIDB has been used for training and testing of a retinal recognition system. Retinal recognition is amongst the most accurate mechanisms of biometrics and is being used for person authentication and identification.
DOI: 10.17632/8hxtgyyxrw.2
title: Railway Track Surface Faults Dataset

description: This dataset is related to railway track faults which includes different types of railway track surface faults. The data was acquired as a video through two EKEN-H9R cameras mounted on both sides of the railway inspection vehicle. The cameras were capable of recording videos at 120 FPS and with a FOV (field of view) of approximately 14 inches. Unnecessary parts of the collected videos were removed in the second step. Then, the necessary frames were extracted from the video. After extracting required frames out of videos manual labeling of the images was done. The established datasets includes classes: Grooves, Joints, Cracks, Flakings, Shellings, Spallings, and Squats.
DOI: 10.17632/f34pw8mf4y.1
title: Hydatigera

description: Revision of Hydatigera taeniaeformis species complex with a description of a new species (Lavikainen et al., IJP 2016): 1. Morphological data. A drawing (atypical segment). Morphological matrix. 2. DNA data. Nucleotide sequence alignments (18S rDNA; pold & pepck; mitochondrial protein-coding genes; cox1 complete haplotype data set).
DOI: 10.17632/t8bxg423yk.1
title: COVID-19 Twitter Word2Vec Model

description: This is a small Word2Vec Model n-gram (n= 1-3) built from Twitter chatter about COVID-19. The objective of this model is to capture semantic representations of COVID-19-related concepts. We will be updating this dataset over time. Please see the following script if you are having difficulty loading the model: https://bitbucket.org/asarker/lexexp
DOI: 10.17632/mgj29ndgrk.6
title: AHD: Arabic Healthcare Dataset

description: - Numerous language-centric research on healthcare is conducted day by day. To address shortcomings of Arabic natural language generation models, we introduce a large Arabic Healthcare Dataset (AHD) of textual data. For this motivation, we named our dataset ‘AHD’.
- The largest Arabic Healthcare Dataset (AHD) as we know was collected from altibbi website. 

- The AHD consists of more than 808k Question and Answer into 90 variety categories. The AHD contains one file, and the file description will be discussed here. One file is the actual data which is in Arabic language. 

 - AHD.xlsx file contains dataset in excel format, which includes the question, answer, and category in Arabic.

 - AHD_english.xlsx file contains dataset in excel format, which includes the question, answer, and category translated to English.

- Distribution of Question and Answer per category.xlsex shows the distribution of the data set by category.
DOI: 10.17632/wtk2p562k5.1
title: Jasons to MetOps Match-up in Tropical Cyclone
DOI: 10.17632/n56pn9fncw.1
title: A comprehensive dataset for successful recognition of Malabar Spinach diseases

description: (1) Malabar Spinach disease is a widespread problem affecting the productivity and quality of agricultural production. It has a detrimental impact on the quality of Malabar Spinach crops. Malabar Spinach is a leafy green vegetable frequently grown for its nutritional value and taste. However, under certain non-biological circumstances, diseases can severely harm the yield and quality of Malabar Spinach, resulting in significant economic losses for farmers. Traditional methods of diagnosing these diseases are often time-consuming, labor-intensive, ineffective, and subjective. (2) In recent years, computer vision approaches have shown great promise in addressing the challenges of disease classification and detection in Malabar Spinach crops. (3) To develop machine vision-based algorithms for detecting Malabar Spinach diseases, a comprehensive dataset has been curated. This dataset comprises images representing various Malabar Spinach diseases, including Anthracnose_leaf_spot, Straw_mite, and Healthy Malabar Spinach. The classification of Malabar Spinach diseases was accomplished with the collaboration of experts from agricultural research institutes. (4) A total of 603 images of Malabar Spinach plants were collected from real fields. Additionally, to expand the dataset, 5868 augmented images were generated from the original ones using techniques such as flipping, shearing, zooming, and rotation. This augmentation is crucial for enhancing the accuracy and robustness of the machine vision algorithms for detecting and classifying Malabar Spinach diseases.
DOI: 10.17632/shtwh4k483.1
title: EVs dataset in Denmark

description: Electric vehicle (EV) dataset in Denmark used to compute simulations performed on: T. Soares, C. Fonseca, H. Morais, S. Ramos and T. Sousa, "Assessment of Real-Time Tariffs for Electric Vehicles in Denmark," 2019 IEEE Milan PowerTech, Milan, Italy, 2019, pp. 1-6. doi: 10.1109/PTC.2019.8810747 The dataset includes general characteristics for 11088 EVs (1974 plug-in hybrid electric vehicles and 9114 battery electric vehicles), such as registration number, manufacturer, model, registration year, battery capacity and vehicle type. In addition, the dataset includes assumptions selected in the study, defining for each vehicle the average consumption in one day (kWh), distance driven in one day (kW), Initial state of charge and socioeconomic profile index.
DOI: 10.17632/bkw3xd3mgm.1
title: Automated UI Testing Data using Figma and Maze Apps

description: The dataset contains data from an automated UI testing using Figma and Maze. The dataset provides data on how much time a user needed to finish an UI task in each steps. The user was asked to conduct 7 different UI test case, and the time to complete each steps was recorded. The dataset also contains heatmap and clickmap for each UI involved in each test case. It show the accuracy of user's action on each step.
DOI: 10.17632/8f3tfgbdjx.1
title: Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune checkpoint inhibitors: A United States population-level analysis

description: Supplemental materials for manuscript titled: Epidemiology and risk factors for the development of cutaneous toxicities in patients treated with immune checkpoint inhibitors: A United States population-level analysis