cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cksmdjw8gy.2
title: Aloe Vera Diseases Dataset for Classification of Aloe Vera Diseases Using Machine Learning

description: This dataset serves as a valuable resource for researchers and practitioners in the fields of agriculture, machine learning, and computer vision, with a primary focus on the classification of diseases affecting Aloe vera plants. The dataset encompasses three main categories: Background Removed Aloe Vera Disease Dataset, Original Aloe Vera Disease Dataset, and Augmented Aloe Vera Disease Dataset. Each category contains images representing the diverse conditions of Aloe Vera plants, including Fresh, Rot, and Rust. By providing variations such as background removed images, original images, and augmented images, this dataset facilitates robust algorithm development and evaluation. Researchers can leverage these datasets to train and test machine learning models for accurate classification and early detection of Aloe Vera diseases. The dataset aims to accelerate advancements in agricultural technology, crop protection, and sustainable farming practices through innovative applications of computer vision and machine learning. 

A total of 2307 images of Fresh, Rust, and Rot Aloe Vera were collected from a rooftop garden in Jhenaidah and Munshigonj, Bangladesh, between November 2023 and January 2024. Subsequently, 9000 augmented images were generated from these originals using techniques such as flip, rotation, noise, shift, brighten, and zoom, aimed at increasing the dataset size while maintaining an image size of 800x800 pixels.

Folder Structure:
1. Augmented Aloe Vera Disease Dataset:
 Number of datasets: 9000
 Data format : .jpg

2. Background Removed Aloe Vera Disease Dataset:
 Number of datasets: 2450
 Data format : .png

3. Original Aloe Vera Disease Dataset:
 Number of datasets: 2307
 Data format : .jpg
DOI: 10.15468/dl.hyesq5
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ara rubrogenys Lafresnaye, 1847",
 "Year 2014-2024"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009247-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ms363bvgk2.2
title: Supplementary material - Topical Sodium Thiosulfate as Treatment of Calcinosis Cutis: Case Series and Systematic Review

description: Supplementary Fig 1 and Supplementary Tables 1 and 2 for the Journal of the American Academy of Dermatology (JAAD) submission JAAD-D-21-00430 - Topical Sodium Thiosulfate as treatment of Calcinosis Cutis: A Case Series and Systematic Review.
DOI: 10.17632/kvcdxnv6n3.1
title: PTSD and Test Anxiety

description: Data is concerning test anxiety and post traumatic stress symptoms in a sample of nontraditional college students. The two variables are correlated across the sample, but the correlation was not evident among students who have previously deployed to a combat zone. Both test anxiety and post traumatic stress symptoms were associated with lower grade point averages. There was also an indirect relationship between post traumatic stress symptoms and test anxiety on grade point average.
DOI: 10.17632/ncy8jrc444.1
title: Data for: THE EMOTIONAL IMPACT OF CORONAVIRUS 2019-NCOV (NEW CORONAVIRUS DISEASE)
DOI: 10.17632/5k5c2j8f6s.1
title: Data for: Explicit Instructions Facilitates Performance of OCD Participants but Impairs Performance of non-OCD Participants on a Serial Reaction Time Task

description: Abstract Previous studies have shown that individuals diagnosed with OCD tend to rely on explicit processing while performing implicit learning tasks. We sought to investigate whether individuals with OCD are capable of implicit learning, but would demonstrate improved performance when explicit processing strategies are enhanced. Twenty-four participants with OCD and 24 non-psychiatric control (NPC) participants performed an implicit learning task in which they responded to a single target stimulus that successively appears at one of four locations according to an underlying sequence. We manipulated the learning strategy by informing half of the participants that the target stimulus location was determined by an underlying sequence, which they should identify (intentional learning). The other half of the participants was not informed of the existence of the underlying sequence, and was expected to learn the sequence implicitly (standard learning). We predicted that OCD participants will exhibit inferior performance compared to NPC participants in the standard learning condition, and that intentional learning instructions would impair the performance of NPC participants, but enhance the performance of OCD participants. The results supported these predictions and suggest that individuals with OCD prefer controlled to automatic processing. We discuss the implications of this conclusion to our understanding of OCD.
DOI: 10.17632/z3vchf7yx6.1
title: Supplemental material - Treat-to-Target in the Management of Moderate-to-Severe Atopic Dermatitis in Adults: A Canadian perspective

description: Members of the Committee who developed this treat-to-target consensus on moderate-to-severe AD in adults.
DOI: 10.17632/s5djr2ppxn.2
title: Social marketing

description: Data set for social marketing research
DOI: 10.17632/r5db8gbgxs.1
title: Task-irrelevant visual perceptual learning in children and adults

description: Task-irrelevant visual perceptual learning (VPL) was examined in a group of elementary school age children (7 – 10 years old, n = 20 subjects) and a group of young adults (18 – 31 years old, n = 20 subjects). The experiment consisted of several sessions conducted on separate days. In the first session subjects’ thresholds for coherent motion detection were measured. In the second session subjects completed a pretest for discrimination performance of different coherent motion directions. From the third to the fourteenth session subjects performed a rapid serial visual presentation (RSVP) task at screen center while coherent motion in different directions was exposed as task-irrelevant in the visual periphery. Prior to the experiment each subject was randomly assigned to two different exposure conditions (n = 10 subjects for each age group for each exposure condition). There was a threshold exposure condition in which coherent motion was exposed at the individual threshold for coherent motion detection. There was also a suprathreshold exposure condition in which coherent motion was exposed at 4.0 x individual threshold for coherent motion detection. In each trial of the RSVP one coherent motion direction, termed the “task-irrelevant learning direction” was exclusively paired with RSVP targets, while other coherent motion directions were randomly paired with RSVP distractors (“untrained directions”). Finally, in the fifteenth session subjects completed a posttest in motion direction discrimination exactly as in the pretest. The results show that subjects in both age groups improved significantly on the RSVP over the course of the exposure sessions. In the threshold exposure condition subjects in each age group significantly improved discrimination performance for the task-irrelevant learning direction from pretest to posttest. In the suprathreshold exposure condition children significantly improved discrimination performance for the task-irrelevant learning direction from pretest to posttest, while young adults significantly decreased discrimination performance. Furthermore, subjects also completed the Useful Field of View (UFOV) subtests for processing speed, divided attention and selective attention. The discrimination performance increase in the suprathreshold exposure condition in children was significantly correlated with the selective attention ability, such that children with greater discrimination performance increase from pretest to posttest also tended to show greater selective attention ability. No such association was observed either for young adults or for any other UFOV subtest.
DOI: 10.17632/xjzztkh7gt.1
title: Data describing the relationship between world news and sustainable development goals

description: The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development goals. The Google BigQuery SQL scripts and the results of the related network analysis are attached to the data to provide a toolset for the strategic management of sustainability issues. The network formed based on how countries appear in the same news can be used to explore the potential international cooperation. The network formed based on how topics of World Bank taxonomy appear in the same news can be used to explore how the problems and solutions of sustainability issues are interlinked. Type of data: Statistics of sustainability news (Data table) Network for category analysis (Data table) Network for country co-occurrence analysis (Data table) World Bank taxonomy used for the categorisation of the news mapped to sustainable development goals by experts (Data table) Google Big Query SQL code (Program Code) How data were acquired: BigQuery SQL queries of the GDELT Global Knowledge Graph based on World Bank taxonomy matched to sustainable development goals
DOI: 10.17632/6x684vg2bg.1
title: Abdominal CT scans

description: Data set consisting of axial sections of abdominal CT scans taken as part of a diagnostic procedure to detect stomach cancer.
DOI: 10.17632/4h8cgjh87y.1
title: A Contextual Pathway to Measuring the Relationship Between Corporations’ Profitability and Social Responsibility of Businesses (SRoB): A Theoretical Equation

description: This research article (i.e., scholarly literature) continues prior research into analyzing how beneficial it is for firms to use nonfinancial social responsibility of businesses (SRoB) data as a method for profit generation. The prior research concluded that the extent of the relationship between corporations’ profitability and nonfinancial SRoB data (i.e., environmental, social, and governance [ESG] ratings) cannot be applied to the profitability measurement lens of how firms use their assets, shareholders’ equity, or how well corporations are in containing their operations and overhead costs. The increase or decrease of return on asset (ROA), return on equity (ROE), and net profit margin (NPM), plus the morally-framed nature of ESG ratings, are incomparable with that of ESG ratings. This research article continues the prior recommended research suggestion of involving accounting-based indicators and nonfinancial information by creating an instrument for social return. This article makes a theoretical equation to measure the relationship between corporations’ profitability and SRoB data.
DOI: 10.17632/gzd9r6ffcs.1
title: replication_data_for_The_Local_Technology_Spillovers_of_Multinational_Firms

description: This is the replication data for the published version of the paper entitled "The Local Technology Spillovers of Multinational Firms"
DOI: 10.17632/npygym5sf6.1
title: VLF sub-Ionospheric Data for the December 26, 2019 Solar Eclipse Observed Using Multi-stations VLF Radio Network in India

description: The VLF data attached here contain the low-latitude D-region (60-90 km) ionospheric disturbances due to the December 2019 annular solar eclipse observed using the multi-stations Very Low Frequency (VLF) radio network in West Bengal, India. VLF signals from communication transmitters were received from ten places using low-cost VLF radio receivers. The receivers were capable of recording the amplitudes of VLF signals mainly from the transmitters VTX, India at 18.2 kHz and NWC, Australia at 19.8 kHz. This file also contains standard reference signal obtained by averaging quiet day data around the solar eclipse day of December 26, 2019. The data was prepared by the Near-Earth Space and Atmospheric Observatory (NESAO), Kolkata, India. The first column is the time in UT (Hour) and the second column is the VLF amplitude data.
DOI: 10.17632/f89vg2dhtg.2
title: Farahat, Ashraf (2021), MAVEN GDS2018

description: MAVEN data during the 2018 global dust storm (GDS2018)
DOI: 10.17632/6ppkj2zrvd.1
title: Smart Economy Dataset (2011-2020)

description: The Smart Economy research & publication dataset, which was indexed by Scopus from 2011 to 2020. 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: 10.17632/8vsjk9jpdz.1
title: Native and introduced Australian grass (Poaceae) records

description: Cleaned and filtered Australian grass (Poaceae) occurrence records from the Atlas of Living Australia (ALA), downloaded 3 January 2020. The data file is in an R format (.RDS file). This can be converted and saved into a .csv file in R. I also assigned species photosynthetic pathway (either C3 or C4 photosynthesis) to each species in the data set.

I converted the cleaned record into species richness (the number of unique species in 100 x 100 km areas across Australia). I tied native and introduced C3 and C4 grass species richness to key environmental variables to build species distribution models. I expected native and introduced grasses to have similar responses to environmental gradients meaning native species richness patterns could provide a template for potential introduced species richness.
 
These records could be used for other SDM contexts (single-species or within States or Territories). Or for statistical analyses on the phylogenetic (species, generic) composition of grass records in Australia. The location tags on the records, however, provide use for assessing the geographic distribution of the records/species across Australia at different spatial scales and extents and with coupling to environmental data, as I did for these records. Nonnative = introduced (i.e. not native to Australia).
DOI: 10.17632/p2vyrmghyz.18
title: Dr Odysseas Kopsidas

description: BscEconomics Bsc Civil Engineering LLB Law Msc Industrial Management and Technology Msc Law and Economics PhD Industrial Management and Technology PhD Environmental Economics
DOI: 10.17632/3z7c4r52n3.1
title: Machine Learning Prediction of Side effects for Drugs in Clinical Trials - Galeano and Paccanaro

description: Supplementary Files of the paper "Machine Learning Prediction of Side effects for Drugs in Clinical Trials " by Diego Galeano and Alberto Paccanaro.

Supplementary Dataset 1. Contains the drug side effect associations used in our study.

Supplementary Dataset 2. It contains the drug similarity values used by GSEM to build the drug networks.

Supplementary Dataset 3. Contains the side effect similarity values used by GSEM to build the side effect network.

Supplementary Dataset 4. Contains the predicted scores of GSEM for every drug side effect pair.

Supplementary Dataset 5. Contains the learned H by GSEM using all the available data.

Supplementary Dataset 6. Contains the learned W by GSEM using all the available data.
DOI: 10.17632/475kmt7ysv.3
title: Data for: Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data

description: A national product of Surface Water Dynamics in France (SWDF) on a monthly temporal scale and 10-m spatial scale is generated using an automatic rule-based superpixel (RBSP) approach. The datasets include the monthly, seasonal, annual (permanent and maximum extents) and annual frequency maps of surface water bodies in France using Sentinel-2 imagery. Also, the datasets provide our validation data (200 sampling points and two local lakes). The detailed description and methodology can be found in the linked manuscript and its supplemental materials. If you have any additional questions, please contact xiuchengyang@163.com.
DOI: 10.17632/78v9wwg6dp.1
title: Evaluating Mental Health Impacts on At-Risk Communities in Disaster-Prone Areas in Bangladesh Using a Synthetic Dataset

description: Given the rising rate of natural catastrophes in Bangladesh, it is vital to comprehend their influence on one's mental health. This research provides a thorough examination of community sensations in places that are prone to disasters. A comprehensive dataset of 8,000 replies has been created by synthesizing the survey-based responses of 2,000 individuals. The purpose of the research is to provide information about mental health issues caused by environmental disasters. These findings emphasize the complex connection between economic instability and psychological well-being. This research signifies a remarkable advancement in comprehending and tackling mental health concerns in susceptible areas in Bangladesh.
DOI: 10.17632/w2zv6tdcn6.1
title: Journal of Methodology of Social Sciences and Humanities (MSSH);114

description: The main objective of Methodology of Humanities and Social Sciences (MSSH) is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to philosophical foundations and methodology of humanities and social sciences. By doing so, the Journal hopes to improve the status of the field in Iran and in the world and to find solutions to theoretical and practical problems the profession is faced with. Given the importance of the humanities and social sciences and the fundamental role of these sciences in the realization of a coherent and civilized intellectual system, investigating the philosophical and methodological foundations of these sciences and criticizing and evaluating them, as well as attempting to extract Islamic foundations and views in the field of humanities is of great importance. In this regard, the following objectives have been considered as a roadmap for MSSH. To serve this purpose, researchers are encouraged to submit their unpublished, original, full-length papers for potential publication in the journal. The journal is set to publish original articles on a wide range of issues including;

 Study of the relationship between philosophy, philosophy of social sciences and humanities, methodology and research method; 
 The role of philosophy and methodology of social sciences and humanities in the quantitative and qualitative improvement of the social sciences and humanities;
 Comparative study of philosophy and methodology of social sciences and humanities and natural sciences;
 Study of the evolution of philosophy and methodology of social sciences and humanities;
 Comparative examination of quantitative and qualitative research methods;
 Philosophical analysis of concepts used in the social sciences and humanities;
 The study of the philosophical and theological foundations of the production of religious and indigenous social sciences and humanities;
 Methodology of the production of religious and indigenous social sciences and humanities;
 Methodology of using religious texts in social sciences and humanities and social sciences;
 Methodology of Muslim scholars in social studies;
 The deficiencies of the social sciences and humanities in the field of goals, foundations, methods and achievements;
 Philosophical and methodological assessment of studies in the field of humanities and social sciences;
 Philosophical and methodological assessment of studies in the field of Islamic humanities and social sciences;
 Philosophical and methodological assessment of macro policies of the country in the scientific, economic, political, social and cultural fields

To let individual researchers and libraries have access to the most recent research findings in the field, the journal allows open-access to its articles.
DOI: 10.17632/f5sztdxg8j.1
title: Mechanical Performance Data of Ultra-High Toughness Brick-and-Mortar Geopolymer Composites: Polymer Stiffness Variation

description: Geopolymer composites combining a hard and a soft phase in a Brick-and-Mortar structure are tested. This dataset presents the results of varying the polymer stiffness. 

Data is organized as follows:

1. Mechanical testing data data:

1.1. Stress vs. strain data for bending performance

1.2. Stress vs. strain data for fracture performance

1.3. Mechanical data summary

2. Digital Image Correlation (DIC) videos (Code used:  Yang, Jin. Augmented Lagrangian Digital Image Correlation (2D_ALDIC). CaltechDATA, 2020, doi:10.22002/D1.1443.)
 
2.1. DIC videos for bending
2.1.1. DIC video for bending of low stiffness composite
2.1.2. DIC video for bending of medium stiffness composite
2.1.3. DIC video for bending of high stiffness composite

2.2. DIC videos for fracture
2.2.1. DIC video for fracture of low stiffness composite
2.2.2. DIC video for fracture of medium stiffness composite
2.2.3. DIC video for fracture of high stiffness composite
DOI: 10.17632/ghc889vfv9.1
title: Tourist Guide and Smartphone

description: List of research in Science Direct for Tourist Guide and Smartphone. Keyword used "tourist guide smartphone".
DOI: 10.17632/kggw362x4z.1
title: Soil moisture

description: The soil moisture data used in the study