cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19242903.v2
title: Classification of bainitic microstructures in SEM image data

description: The trainingset contains 932 scanning electron microscopy images of a bainitic steel seperated into three classes (i,ii,iii). These classes represent characteristic bainitic microstructures originated from steels with a specific cooling strategy. Class i contains lower bainite with small and elongated M-A islands, class ii shows an inhomogeneous mix of large and small M-A islands, while the largest M-A islands are visible in class iii. Data augmentation was used to increase the number of training samples and to provide a balance between the classes.The testdataset contains additional 386 images.<br>model.zip represents the trained tensorflow model in h5 format.<br><br>
DOI: 10.15468/dl.xphyv7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salsola kali L.",
 "Country is Azerbaijan"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013006-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rw5k4pz44w
title: Efficient active-passive vehicle coordination in multimodal transportation networks

description: This dataset accompanies a study submitted to "Transportation Research Part E: Logistics and Transportation Review", focusing on a modular, demand-responsive transport system. The system uses passive, modular containers, or “pods,” that are transported across multiple vehicle types like trucks, trains, and boats to fulfill door-to-door customer requests. The study's main objective is to improve customer satisfaction and reduce operator costs, thus providing a more flexible alternative to traditional public transportation systems. The unique challenge lies in synchronizing the movements of both the pods and the vehicles they rely on, which creates interdependencies between routes. To address this, a mixed-integer linear program (MILP) and an adaptive large neighborhood search (ALNS) heuristic were developed, alongside a clustering approach to accelerate solution times for real-world applications. This dataset validates the performance of these optimization methods, providing a practical framework for testing advanced multimodal routing solutions.

Since no standard benchmark data existed for this novel system, the dataset consists of five custom instance sets - A to E - with increasing levels of complexity and sizes, containing 30 instances each. The instances include randomly generated hubs in a two-dimensional space, with minimum pairwise distances maintained for spatial realism. The transportation network is constructed by assigning edges randomly within each modality (e.g., road, rail) while ensuring full connectivity. Additionally, each base and pod is assigned a capacity, and time windows for customer requests vary, with each subsequent set having a longer time window range. Travel times are computed as the Euclidean distance between hubs divided by a constant speed factor, with adjustments for loading and boarding times to reflect real-world operational delays.
DOI: 10.6084/m9.figshare.23613804.v1
title: Artificial General Intelligence (AGI)

description: <b>Description</b>The experimental <i>AI Dialog</i> software application is able to build a mental model from a plain English dialogue using speech or textual input. Subsequently, comprehension and logical capability may be tested using plain English queries.<i>AI Dialog</i> is used to experimentally test the validity and utility of a novel software application design, as a path to <i>Artificial General Intelligence</i>, sometimes referred to as <i>Strong Artificial Intelligence</i> or <i>Conversational Artificial Intelligence</i>.The theory behind <i>AI Dialog</i> is fully described in the book: <i>Belch, Francis R. (2023) Artificial General Intelligence – A New Approach</i>, available from: Amazon.com (from September 2023).A short demonstration of the <i>AI Dialog</i> software application is available from <i>YouTube</i>®<i>,</i> and entitled:<i>Artificial General Intelligence – A New Approach – AI Dialog Demonstration.</i>There are also two <i>YouTube</i>® lectures each of about 1 hour duration describing the radical new approach to <i>Artificial General Intelligence</i> used to implement the <i>AI Dialog</i> software application. These are:<i>Artificial General Intelligence – A New Approach – Part I Sentence Semantics</i>.<i>Artificial General Intelligence – A New Approach – Part II Dialogues and Mental Models</i>.This is a free download of the executable of the <i>AI Dialog Software Application Version 4.1 Alpha</i> release. This version supersedes <i>Version 3.2</i> to allow speech as well as textual user input.The <i>AI Dialog</i> software is protected by international copyright, but is made available to use for non-commercial personal study purposes.The application will run on Windows 10® PC, Laptop and Tablet systems, and requires about 1 M byte of memory. The download file is zipped and needs to be unzipped. After this, the content of the folder <i>AI Dialog 4.1 Alpha Release</i> is:• Application Files (Folder)• Documentation (Folder)• NLP2016Autumn (Manifest)• Setup (Application)In the Documentation folder are two PDF files:• Copy Of Tuition Lessons (PDF)• Specification (PDF).The first is a hard copy of the tuition lessons. The second is a specification of a subset of English for use with the <i>AI Dialog</i> system. However, there is no need to consult either of these initially, as <i>AI Dialog</i> incorporates a quick start tuition module.To install <i>AI Dialog</i>, double click the Setup file. This starts <i>AI Dialog</i> immediately after installation, but places an application icon on the Windows 10® Start list for restarting later. After <i>AI Dialog</i> starts, just follow the speech or pop-up message instructions, which lead to quick start interactive tuition modules, fully describing how to use the application.
DOI: 10.6084/m9.figshare.28945844.v3
title: (Near-complete) T2T assembly of the Gila monster, data freeze (May 2025)

description: Curated genome assembly of a female Gila monster (<i>Heloderma suspectum</i>).Assembled from UL-ONT and phased with HiC data using Hifiasm and scaffolded with HiC data using Pretext.Gene annotations were produced using Liftoff from the Southern Alligator Lizard (<i>Elgaria multicarinata</i>) genome RefSeq annotations (GCF_023053635.1).<br><br>
DOI: 10.6084/m9.figshare.19076240.v1
title: cardiac arrest survey

description: To investigate and understand the determinants of decisions not to attempt resuscitation following out-of-hospital cardiac arrest, to contribute to establishing rules that are appropriate to China.<b></b>
DOI: 10.6084/m9.figshare.28099298.v1
title: validate

description: test upload
DOI: 10.17632/867g6wxs2y
title: microplastics

description: This data set contains the 1) information of sampling sites in the South China Sea and western pacific, 2) abundances and component of microplastics from seawater, 3) instrumental parameters for GC/MS analysis, 4) 7 PAH concentrations from these water columns, 4) comparison of our results with the literature.
DOI: 10.17632/9t3x4h48vz
title: EVasCu 2.0: Avanzando en la evaluación del riesgo cardiovascular

description: Seguimiento durante 2 años del Estudio EVasCu.
DOI: 10.17632/m6mngm6gb5
title: A Study to Assess the Effectiveness of Lamaze Breathing Technique in Pain Management During the First Stage of Labour in Apollo Women’s Hospital, Chennai.

description: Labor pain is a physiological phenomenon caused by the smooth muscles of the uterus contracting to assist the fetus down the birth canal. There are many causes of this pain, such as experience, fear and anxiety along with racial, cultural, social, and environmental factors and demographic and biological characteristics. Severe labor anxiety increases the likelihood of a cesarean section, which may be followed by cesarean delivery-related difficulties for both mother and fetus, putting financial strains on the family and the state and lengthening hospitalization time. Problem Statement: A study to assess the effectiveness of Lamaze breathing technique in pain management during the first stage of labour in Apollo Women’s Hospital, Chennai. Objectives: (a) To assess the pre and post test level of pain scores among mothers who are in the first stage of labour. (b) To evaluate the effectiveness of Lamaze breathing on the level of pain among mothers before and after who are in labour. (c) To associate the selected demographic variables with the mean differed score of pain among all mothers who are in labour. Methodology: Quantitative research approach with one group pre and post test design was adopted. The samples for this study consist of 30 samples selected by purposive sampling technique. Wong Bakers Pain scale was used to assess the pain level among mothers in the first stage of labour. Results: The pretest mean score of pain level among primigravida mothers was 6.6 and post test mean score of pain level among primigravida mothers was 1.57. The paired‘t’ value of the group was 14.631. Conclusion: The study shows that the Lamaze breathing technique is effective in reducing the level of pain.
DOI: 10.17632/454kxn8jrg
title: Quantified images plus videos of iron and manganese reduction of IRIS films in hypersaline soils

description: These data belong to the research project (AQUASALT), EraNET that in Spain has been supported by grant PCI2018-09299 funded by MCIN/AEI/10.13039/50110 0 011033 and co-funded by the European Union. The data corresponds to the Spanish study area, the Salineta inland saline wetland (41°28'55.34"N, 0° 9'23.59"W) located 60 km far from Zaragoza city, in one of the most arid areas of the Central Ebro Basin, NE Spain. In this project we studied the redox conditions of the hypersaline soils in Salineta playa-lake, which are subjected to intermittent flooding, along a period of 17 months, in 2019 and 2020. The data were obtained during the monitoring of the soil redox conditions using IRIS (Indicators of Reduction in Soils) films and clear IRIS tubes coated with iron oxide and manganese oxide and supplied by the Prof. Martin Rabenhorst and Dr. Brian Scott, from the University of Maryland, USA. The monitoring of the IRIS films consisted on the quantification of the oxide-coating removed from the films. The oxide-coating of the films was reduced and then dissolved due to the microbial action. Firstly, the manganese-oxide coated films and later the iron-oxide coated films lost gradually their cover paint until showing the white underlying PVC film without paint.
Content: This dataset comprises 20 folders corresponding to the 10 iron plus 10 manganese IRIS film samplings in Salineta playa-lake. Each IRIS sampling includes also a video obtained with the clear IRIS tubes installed close to the IRIS films. We followed the method and camera instrument described in Scott et al. (2021) (DOI: 10.1002/saj2.20171). The videos of the soil allowed the direct monitoring of the oxide-paint removal and guided the successive sampling of the IRIS films. Each sampling included the video-image monitoring of the clear-IRIS tubes and the retrieval of three replicates of Fe and Mn IRIS films. Each folder contains the field photographs of the three iron or manganese films sampled. The photographs were processed: after cropping to the area of interest, they were binarized and the reduced (white) area of the film was then quantified. The numbering of the folders follows the order of sampling, from 1 to 10, and folders are labeled with F for iron and with M for manganese films.
The Excel worksheet included in the present dataset contains the quantification data of the oxide-coating removed from iron and manganese films, together with the quantification of the black sulfides deposited on the iron films. The film area under reducing conditions (white PVC film) is expressed in percentage of the total film area. This percentage of paint removed has been calculated: 1) for every cm of the film depth (50 cm), 2) in the upper 0-30 cm of the film, and 3) in the total length of the film (0-50 cm). The removal rate indicates the reducing conditions evolution and intensity in the studied soils of the saline wetland.
DOI: 10.17632/rjyftvrgfg
title: Readiness for Digital Transformation of Higher Education in the Covid-19 context: The dataset of Vietnam's students

description: This paper presents the data set of an investigation on the factors affecting the digital transformation readiness of Vietnamese students in the context of the Covid-19. The data is built based on the TAM model and sociological investigation method to collect multi-dimensional information from many different perspectives of different individuals, through the direct and indirect investigation with a view to assessing the level of influence. The survey includes some main question groups corresponding to the independent variables in the model: self-study, students' attitudes, perceived usefulness, perceived ease of use, and Covid-19. The authors distributed the questionnaire online and collected 913 valid answers. We believe that this data may be relevant to future studies of similar topics and can be used to make recommendations for the education sector.
DOI: 10.6084/m9.figshare.25375366.v1
title: Myricaria laxiflora genome and annotation files

description: Myricaria laxiflora genome sequence, CDS sequence, protein sequence and gff files.
DOI: 10.17632/6sh963jm64
title: Exploring low enthalpy geothermal energy in Costa Rica: A pilot project to improve tourism energy matrix efficiency

description: Data associated with manuscript "Exploring low enthalpy geothermal energy in Costa Rica: A pilot project to improve tourism energy matrix efficiency" published in European Geologist 54, 2022.
DOI: 10.17632/gcw965g795
title: World Waste Status

description: World Waste Status was a research and awareness-raising project implemented by the organization Let's Do It! and its Knowledge Team in 2012 - 2013. It was aimed at collecting, analyzing, and visualizing data on the state of the waste issue in the world and its connection to climate change. The project was funded by the Ministry of Environment of Estonia.

Key objectives of the World Waste Status project included:
1. Acquire the most recent data on the waste generation, accumulation, composition and management in all countries of the world;
2. Obtain the data on the characteristics of the major landfill sites and incinerators in each country: amount of waste there, its composition, sources, etc.;
3. Based on waste quantities estimate the amount of greenhouse gas (GHG) emissions (carbon dioxide and methane) generation in each country (including major landfills and incinerators) and their avoidance in case of moving towards the “zero waste world” vision (including assumptions about both legal and illegal landfills).

Thus, the World Waste Status dataset contains the following data up until the year 2012:
1. Comparative statistics of waste generation (per capita per day, total per day, per capita per year, total per year), composition (in % and in tones per year), collection and treatment (in % and in tones per year) in practically every country of the world;
2. Generation of greenhouse gas (GHG) emissions from landfilled waste in each country according to the two most used models for GHG emissions estimation: IPCC and LandGEM;
3. Locations of waste management facilities (open dumps, landfills, and waste incinerators) in each country.
DOI: 10.17632/rgby35488c
title: BANCO DE DADOS DA OCORRÊNCIA DAS ESPÉCIES Mesoclemmys perplexa, Mesoclemmys tuberculata E Phrynops geoffroanus NO BRASIL

description: Os bancos de dados oferecem organização e armazenamento das informações, sejam elas biológicas ou ecológicas, com o intuito de facilitar o acesso a dados sobre as espécies. Diante disso, o presente banco de dados apresenta informações sobre a distribuição das espécies de M. perplexa, M. tuberculata e P. geoffroanus. Para a construção do banco de dados, foram realizadas buscas iniciais nas principais bases de dados online, como o GBIF, ICMBio e SpeciesLink, utilizando critérios de filtragem e ordem de prioridade para selecionar as informações. Em seguida, os dados foram organizados em uma planilha do formato Excel, contendo 11 colunas com informações pertinentes. Foram obtido o total de 599 registros das espécies para o Brasil, sendo: 42 ara Mesoclemmys perplexa, 76 M. tuberculata e 481 Phrynops geoffroanus, das quais 254 foram provenientes de coleções zoológicas, 232 bancos de dados online e 113 de publicações. O conhecimento acerca da distribuição dessas espécies é de suma importância, uma vez que, contribuem para a elaboração de planos de manejo visando a conservação dessas espécies.
DOI: 10.17632/s5xwpt6wv7
title: Seborrheic Dermatitis is Associated with Primary Dysautonomias and Psychotropic Medications in a Large Population Study_Supplemental

description: Supplementary Table: Demographic and psychotropic drug exposure characteristics of seborrheic dermatitis patients and controls without seborrheic dermatitis
DOI: 10.6084/m9.figshare.17005681.v2
title: ALIGNN models on JARVIS-DFT dataset

description: ALIGNN models on JARVIS-DFT datasethttps://github.com/usnistgov/alignn<br>
DOI: 10.6084/m9.figshare.6857156.v1
title: A study of the metallic silver dissolution with the MEA-NH3-Cu system

description: ABSTRACT Leaching of silver from minerals has been studied for decades. Recently, research has been focused on the substitution of cyanide (because of its high toxicity) from hydrometallurgical operations. In this sense, the development of alternative-green leaching solutions for the recovery of metallic silver from minerals and urban mines is necessary. In this research, a thermodynamic-kinetic study of the alternative system “monoethanolamine (MEA)-ammonium sulfate-cupric sulfate” was performed for the dissolution of metallic silver, varying the pH and the cupric ion concentration at room temperature. Furthermore, this research aims to evaluate the silver dissolution behavior at a pH lower than 10.2, elucidating the rate determining step of the silver dissolution process at these conditions of pH and cupric ion concentration. Thermodynamic results confirm that the MEA and NH3 can complex silver generating the species: Ag(MEA)2+, AgMEA-, Ag(NH3)2+, AgNH3+ respectively. It was evaluated the effect of varying the pH (8.8, 9.9 and 9) and the cupric sulfate concentration (0.1, 0.15 and, 0.2 M at pH 9) on the kinetics of silver dissolution. The results revealed, the possibility to leach a 39% of silver using a leaching solution containing: 0.15 M cupric sulfate, 0.05 M MEA and 0.4 M ammonium sulfate at pH 9. The kinetic analysis showed that the silver dissolution is controlled by the diffusion of fluid species through a porous layer composed of copper oxides, which was ratified by SEM and EDS analysis. Finally the present paper, open the possibility to optimize the molar ratio MEA:NH3 to maximize the silver dissolution kinetics.
DOI: 10.6084/m9.figshare.7956023.v1
title: FASTQ files

description: FASTQ files used in this study. The name of each file matches the name used in the paper.
DOI: 10.17632/b7wbthz6hs
title: Database for the modeling of job satisfaction of basic education teachers in Peru (ENDO-2018)

description: This data set is the result of the research entitled: Modeling job satisfaction of basic education teachers through machine learning techniques. It was obtained from the characteristic selection process using the filter methods: Chi-Square categorical variables and ANOVA F-Test for numerical variables, this filtering was carried out in order to obtain the most important variables in the prediction of job satisfaction. of basic education teachers in Peru. The raw database was obtained from the National Survey of Teachers (url: http://escale.minedu.gob.pe/documents/10156/c962628e-2123-4070-af11-50f4772ef7a2) developed by the Ministry of Education of Peru. during the year 2018. This filtered database can be used to predict the job satisfaction of basic education teachers.
Description of the columns.
Columns P401_12_No and P401_12_Yes, represent whether the teacher suffered depression problems, P501_A (total gross income for the previous month (scaled value)), P509 (Perception of living conditions), P818_1 (Satisfaction with his life), P818_6 (Satisfaction with their self-esteem), P818_8 (Satisfaction with their family relationships), P819_1 (Satisfaction with their pedagogical activity), P819_4 (Satisfaction with the relationship with their colleagues), P819_5 (Satisfaction with the relationship with the Director), P819_8 ( Satisfaction with their salary), JobSatisfaction (Teacher job satisfaction)
DOI: 10.17632/nthrjr322s
title: Dataset: Low-density microplastics (LD-MPs) in seven recreational parks of Al Ain, UAE isolated by density flotation method (DFM)

description: The LD-MPs from 104 soil samples collected from seven different recreational parks of Al Ain, UAE were isolated by DFM using saturated sodium chloride solution (1.2 g/cm3). A total of 10, 701 g of soil samples were processed for this study (Loc_Info_Micp_count.xlsx). Prior to extraction and isolation of MPs, the 10 ± 0.1 g of each sample were dried at 40 degrees Celsius for 24 hr and then filtered using a stack of 8" dm stainless steel sieves with aperture of 5 mm and 1mm. An aliquot of 5 ± 0.1 g were subjected for DFM. After that, the sample was filtered using a Whatman glass microfiber filter to separate LD-MPs from the liquid. The filter was then viewed under stereomicroscope. The physical characteristics of LD-MPs, such as size, color, and shape, were noted (Loc_info_Micp_count.xlsx). Microplastic concentration were determined and expressed as particles per kg of samples (Micp_conc_per_sampling_site.xlsx; Table 8). Statistical data of isolated LD-MPs sizes were computed (Stat_data_of_LD-MPs_size.xlsx; Table 9). The study also tried to correlate the LD-MPs concentrations with soil pH and moisture content. Results showed that there is a negative correlation in MPs concentrations and the two selected soil properties suggesting potential negative effects in soil health (Stat_data_soil_pH_moisture_content.xlsx; Tables 10 & 11). FTIR analyses were conducted to initially determine the possible polymers present in the isolated LD-MPs (SFig3_FTIR). Polymers identified were possibly polyethylene, polypropylene, polyethylene terephthalate, or polyvinyl chloride. These results found that the presence of LD-MPs in urban recreational parks might contribute to impending environmental negative effects.
DOI: 10.17632/wp8gw23kd2
title: Functional diversity of snakes is explained by the landscape composition at multiple areas of influence 

description: Roadkill and landscape compsition affect snakes at diferent spatial scales, depending on the functional trait value of the species, which is reflected in the functional diversity indices at the assemblage level. This study evaluated the effect of roads and landscape composition on snakes´functional diversity at different areas of incluence (250, 500, 1000, and 2000 m buffer areas). We surveyed snakes using transects on the road and adjacent areas on 13 landscapes along the road. We evaluated the effect of 16 landscape metrics at six land cover classes on the snake´s functional diversity at four different areas of influence (from 250 to 2000 m around the sampled sites).
DOI: 10.6084/m9.figshare.22193803.v1
title: Supporting Mental Health Self-Care Discovery Through a Chatbot: Dataset

description: This datasets presents the between-subjects research data for measuring the perceived trust between users interacting with an online mental health self-care recommendation system through a chatbot, versus a group doing it completely through a browser. We use the "trust in automation" scale by Jian et. al. for the analysis.