cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/z9t3x4p5kk.1
title: Current Biology 2018 - Edsinger and Dölen

description: Supporting data for the Current Biology publication - A conserved role for serotonergic neurotransmission in mediating social behavior in octopus - by Edsinger and Dölen.
DOI: 10.17632/jbpsr4fvg9.2
title: Brazilian Vertical Traffic Signs and Lights Dataset

description: The Brazilian Vertical Traffic Signs and Lights Dataset is a curated collection of annotated files containing images and information related to vertical traffic signs and lights in Brazil. This dataset is designed to facilitate research and development in the field of computer vision, machine learning, and intelligent transportation systems.

Contents:
1. Image Data:
 - High-resolution images capturing various scenarios of Brazilian roadways.
 - Images feature a diverse range of vertical traffic signs and lights in different environmental conditions, lighting, and weather.

2. Annotation Files:
 - XML files containing detailed annotations for each image.
 - Annotations include bounding boxes around individual traffic signs and lights, along with corresponding class labels and other relevant attributes.

3. Classes:
 - Comprehensive taxonomy of Brazilian vertical traffic signs and lights.
 - Classes include regulatory signs, warning signs, guide signs, traffic lights, and other relevant categories as per Brazilian traffic regulations.

4. Metadata:
 - Additional metadata, such as geolocation, date, and time of image capture.
 - Information on road types, conditions, and any other contextual data that enhances the dataset's utility.

Potential Applications:
 - Traffic sign and light recognition algorithms.
 - Intelligent transportation systems development.
 - Road safety and traffic management research.
 - Autonomous vehicle navigation and decision-making.

Citation:
When using this dataset, please cite the dataset as follows:
\[Pierre, Monhel Maudoony (2023), “Brazilian Vertical Traffic Signs and Lights Dataset”, Mendeley Data, V2, doi: 10.17632/jbpsr4fvg9.2\]

Acknowledgments:
This dataset is compiled with data from some YouTube videos, and we acknowledge the contributions of the original data providers.

Disclaimer:
This dataset is provided for research purposes only. Users are encouraged to adhere to ethical guidelines and respect privacy regulations when using this data.
DOI: 10.17632/9gmn6gsb6p.1
title: gVOF: An open-source package for unsplit geometric volume of fluid methods on arbitrary grids

description: The gVOF package implements several accurate and efficient geometric volume of fluid (VOF) methods on arbitrary grids, either structured or unstructured with convex or non-convex cells, based on multidimensional unsplit advection and piecewise linear interface calculation (PLIC) schemes, with the purpose of facilitating and extending the use of advanced unsplit geometric VOF methods in new or existing computational fluid dynamics codes. The package includes a complete and self-contained set of routines for VOF initialization, interface reconstruction and fluid advection, and uses as external libraries a set of publicly available in-house tools to perform several analytical and geometrical operations. These operations may involve handling of high-complex non-convex flux polyhedra, even with self-intersecting faces, which are robustly and efficiently treated in this work without the need of costly techniques based on convex decomposition. Results for the accuracy, computational efficiency, and volume (local and global) conservation properties of different combinations of the implemented advection and reconstruction methods are presented for several numerical tests on structured and unstructured grids. An extensive comparison with results obtained by other authors using advanced geometric VOF methods shows the outstanding performance of the gVOF package in terms of efficiency and accuracy. To demonstrate the performance of the package in solving complex two-phase flow problems, the implemented methods are combined with an existing in-house code to simulate the impact of a water drop on a free surface.
DOI: 10.17632/3y496txbc6.1
title: Microtremor Data

description: Raw Microtremor Data
DOI: 10.17632/hpc4rpv6j8.1
title: Efficacy and safety of the oral Janus kinase 1 inhibitor povorcitinib (INCB054707) in patients with hidradenitis suppurativa in a phase 2, randomized, double-blind, dose-ranging, placebo-controlled study

description: Supplementary appendix for an article "Efficacy and safety of the oral Janus kinase 1 inhibitor povorcitinib (INCB054707) in patients with hidradenitis suppurativa in a phase 2, randomized, double-blind, dose-ranging, placebo-controlled study" for The Journal of the American Academy of Dermatology
DOI: 10.17632/bn26f4px6y.3
title: A Bangla Dataset to Detect Racism or Body Shaming from Sentence

description: Body shaming and Racism are very common thing in a society. Here there are more than a thousand Bangla sentences that are used by people to humiliate their haters, friends, family, or nearest one. Moreover, there is also word-based data that is directly used in a sentence. Those were collected from a Facebook post and individual users via a Google form without asking for any personal information so that they can feel free to share the sentences in which they are facing embarrassing situations like body shaming and racism. The sentences were labeled with the terms 'Racism' and 'Body Shaming.' Additionally, there is a list of Bangla stop words that will help to do data preprocessing and cleaning.
DOI: 10.17632/vch5d2ksjp.1
title: The reason behind clapping hands during Kirtan: An Interdisciplinary Exploration

description: This article delves into the therapeutic benefits of clapping hands during Kirtan, a form of devotional service. Drawing on insights from neuroscience, psychology, traditional medicine, and spiritual discourse, we explore the intricate sensorimotor connection underlying haptic perception. Additionally, we elucidate the physiological and psychological effects of clapping, while examining its role in fostering spiritual connection and overall well-being. Through a synthesis of empirical research, ancient wisdom, and cultural practices, we shed light on the profound implications of this age-old tradition in promoting holistic health and spiritual growth.
DOI: 10.17632/6jhz2vpxtt.1
title: Tactile Stimulation in a Healthy Mexican Sample: An EEG Database

description: Tecnologico de Monterrey
School of Engineering and Sciences
NeuroTechs Research Group 

Context:
This dataset includes electroencephalographic (EEG) recordings from 34 healthy, young adults in Mexico, collected to study the somatosensory system's responses to a range of tactile stimuli. The study employs innovative NeuroSense tactile stimulators to explore how the brain processes touch sensations when subjected to stimuli such as air, vibration, and caress at four distinct intensity levels.

Objective:
The objective of this database is to understand the cortical processing of tactile stimuli including air, vibration and carress using EEG.

Main Outcome Measure:
The main outcome measure is the EEG recordings which includes the evoked responses of the somatosensory system to each type of stimulus and intensities. These measurements allow for an in-depth analysis of the cortical dynamics involved in processing touch.

Limitations:
One limitation of the database is its focus on a relatively small and specific population, which could affect the generalizability of the findings. Additionally, the data is dependent on the accuracy and consistency of the stimulus delivery and EEG recording during the experimental sessions.

Generalizability:
While the findings provide significant insights into the neural processing of tactile stimuli within the central nervous sytem, their generalizability might be limited due to the specialized nature of the stimuli and the controlled experimental conditions. However, the dataset serves as a valuable resource for developing diagnostic and therapeutic strategies for somatosensory impairments and advancing research in neuroscience and somatosensory rehabilitation.
DOI: 10.17632/9vdv6k36hs.1
title: Low-Temperature Thermochronology of Ryoke Belt Granitoids, SW Japan: New Insights from Monazite Fission-Track Dating

description: Supporting data for the titled research
DOI: 10.17632/znkz9xdsdd.3
title: Data base of papers related to Knowledge management and Industry 4.0

description: We attached the Web of Science (WoS) file, which record the papers meta data (i.e. authors, title, source title,...). The papers indicated were analysed to support our review.
DOI: 10.17632/j3p84sb38k.1
title: MDC1 maintains active elongation complexes of RNA polymerase II

description: Current biochemical data indicate a functional interplay of MDC1 DNA damage response scaffold protein with the transcription and splicing machinery both in unchallenged conditions and upon DNA damage. The PDF file includes wider areas of scanned western blots which are already included in the main manuscript entitled ''MDC1 maintains active elongation complexes of RNA polymerase II''.
DOI: 10.17632/r3m4xdv3ys.1
title: All data files for the article "Orientation dependence of dislocations in Al layer of Mg/Al laminates: High-Resolution EBSD analysis"

description: All data files for the article "Orientation dependence of dislocations in Al layer of Mg/Al laminates: High-Resolution EBSD analysis"
DOI: 10.17632/kwdd5mbg4h.1
title: SAFmaps - Infrastructure

description: Developed in the context of SAFmaps, containing a georeferenced database on ethanol distilleries and soy processing plants, in Brazil. For ethanol distilleries, the information includes: identification, place, feedstock, products (ethanol/sugar/mix), sugarcane milling capacity (2020), the installed capacity of anhydrous and hydrated ethanol production (2020), and effective production of anhydrous and hydrated ethanol (2019-2020). Ethanol units are registered by ANP. For soy processing plants, the information includes: identification, place, and the status (in operation/not in operation) in 2018. SAFmaps is a database platform with information on the potential of promising feedstock for the production of Sustainable Aviation Fuels (SAF) in Brazil. SAFmaps includes a database of different feedstocks, background information and assessment results.
DOI: 10.17632/3832tx2cb2.1
title: Cassava Leaf Disease Dataset

description: RGB image dataset of cassava healthy leaves and leaves infected by Cassava Bacterial Blight (CBB) and Cassava Mosaic Virus (CMV). The field images were collected manually from different commercial agricultural fields in western Tamil Nadu, India, using a handheld camera. The size of the images is 512 × 512 pixels.
DOI: 10.17632/4yng756tnc.1
title: LINF_320013900

description: RNA binding protein | homologous to T. brucei DRBD18
Leishmania infantum (strain JPCM5)
DOI: 10.17632/fcdr3yvkjz
title: Compositional diversity of pelite- and psammite-derived granites may lead to misidentification of melt sources

description: Major and trace element compositions, U-Pb age, Hf-O isotope
DOI: 10.17632/ncfgz5xxyb.1
title: Lymph_node_panorama

description: This repository contains the raw and processed Imaging Mass Cytometry (IMC) data used in the manuscript "Optimizing multiplexed imaging experimental design through tissue spatial segregation estimation". Briefly, a large (>3mm2) region was imaged in two healthy human lymph node samples using IMC. Data were processed using the Steinbock pipeline and then analysed with an in-house script.
DOI: 10.17632/rn8t4mmvyd.1
title: PolyWeight: A free and open-source program for determination of molecular weight distribution of linear polymers

description: This paper introduces PolyWeight, a Python software featuring a user-friendly graphical user interface (GUI), which offers two distinct approaches for MWD determination: an analytical relation-based method and a parametric model-based method. By utilizing dynamic moduli, users can calculate MWD as well as molecular weight averages such as M_n, M_w, and M_z. The functionality of PolyWeight is validated using synthetic data and real data obtained from the literature, exhibiting good agreement. Log files and datasets used in this work are available on GitHub.
DOI: 10.17632/h7cj8bz4bd.1
title: ElecSus: Extension to arbitrary geometry magneto-optics

description: We present a major update to ElecSus, a computer program and underlying model to calculate the electric susceptibility of an alkali-metal atomic vapour. Knowledge of the electric susceptibility of a medium is essential to predict its absorptive and dispersive properties. In this version we implement several changes which significantly extend the range of applications of ElecSus, the most important of which is support for non-axial magnetic fields (i.e. fields which are not aligned with the light propagation axis). Supporting this change requires a much more general approach to light propagation in the system, which we have now implemented. We exemplify many of these new applications by comparing ElecSus to experimental data. In addition, we have developed a graphical user interface front-end which makes the program much more accessible, and have improved on several other minor areas of the program structure. The previous version of this program (AEVD_v1_0) may be found at http://dx.doi.org/10.1016/j.cpc.2014.11.023.
DOI: 10.17632/26zfwd5fd9.1
title: Psychological Profiles of Therapeutic and Mastery Exercisers

description: ABSTRACT: Most reasons for exercise can be grouped into health-related ‘therapeutic’ and challenge-related ‘mastery’ categories. Since these motives are not independent of personal needs and expectations, their associated psychological profiles may vary. In this preliminary cross-sectional investigation, we tested the possible differences in life-satisfaction, optimism, pessimism, and perceived stress between therapeutic and mastery exercisers as well as a non-exercising control group. Individuals who exercised for mastery reasons reported superior mental health profile in three out of the four dependent measures while those who exercised for therapeutic reasons did not differ from the non-exercising control group in any of the measures. Further, a composite score of mental health profile, derived from the difference between the sums of positive and negative measures, revealed that mastery exercisers reported the most favorable profile. Their mental health profile emerged to be superior to non-exercisers, but it did not differ statistically significantly from the profile of the therapeutic exercisers. The latter two groups did not differ from each other on this composite measure. These preliminary findings suggest that two very general motives for exercise might be associated with different psychological profiles, which merits future research attention.
DOI: 10.15468/dl.fv52t4
title: Occurrence Download

description: A dataset containing 6747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Populus tremula L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 6747 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009290-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7kmtsmsgfw.1
title: Dialysis database: sessions with valid data of clinical parameters

description: The datasets contain just sessions with valid data, extracted from clinical information of 98,015 hemodialysis sessions corresponding to 758 patients. 22 clinical parameters measured 5 times during the session, as well as the gender and age of the patient. Each dataset consists of a matrix where the rows are the sessions and the columns are the different clinical parameters (attributes), except for hypotension, which is the parameter to be classified and predicted (categorical response). It is important to point out that, to build this dataset, only the sessions where all the values of the clinical parameters are valid have been taken into account, that is, parameters that have been correctly measured (they do not contain null values or values outside their own ranges). There are 11 datasets, each of which consists of an increasing number of parameters (from only 2 parameters in the first dataset to 24 parameters in the last one).
DOI: 10.17632/npy96r94p2.1
title: Systematic review data

description: Secondary aggregate data for systematic review of pregnancy outcomes in PCOS
DOI: 10.17632/skfs55wx9h.1
title: Raw data of Nigeria's socio-economic variables' impact on Kwara State youths involvement in agriculture

description: Raw data of Nigeria's socio-economic variables' impact on Kwara State youths' involvement in agriculture.

The study undertook a cross-sectional survey of three local government council areas in Kwara – State, Nigeria with 300 copies of a good structured questionnaire, needless to obtain the population of youths in the three local government council areas. The number of participants depended on the same number obtained from each of the local government council areas, A hundred copies of a structured questionnaire were used to collect relevant data in each of the local government council areas surveyed. For effectiveness, we had to train and later engaged some university graduates as research assistants to cover the three local government council areas selected via stratified sampling in each of three local government council areas involved in the study. All the research assistants concluded the data collection within a fourteen-day period that spanned through weekends after a test-retest validity of 89% was obtained.
The questionnaire was structured into six sections: demographic data; employability variables; awareness of agriculture as a veritable employer; challenges that youths face in agriculture; youth migration; and motivating youths’ into agriculture. A total of 32 questions were mildly drawn to harvest the needed data without stressing respondents. To ensure sincere job was done by the research assistants, the phone number of each respondent was requested on the questionnaire. The socio-economic variables of study as contained in [9] include investible funds into agriculture, agricultural policies, agriculture-oriented education or enlightenment campaigns, and amenities in place to boost farm yields.  The relevant data collected relate to the statistics of youths employed in agriculture or related business.

A total of 265 respondents took part in the survey, but only 135 (51%) responded to the question on identifying the actual type of agriculture that they particularly engage in. while 4 (1.5%) were missing, and there was no response by 126 (47.5%) of the study participants to the question. It is only 1 (i.e. 0.4%) that is involved in animal husbandry. Thus, in response to two of the specific study objectives: to investigate the rate of youths’ engagement in agricultural production, and to identify the agricultural activities that Kogi youths engage in, Finding shows that 51% of study participants engage in agriculture. None of the study participants engage in poultry keeping, fish farming, food processing, food packaging, or any other varieties. The inference that we could draw the study is that only it is about 51% of the study population engage in agriculture.
DOI: 10.17632/s6vnns86x5.1
title: Dataset of Interview and Survey on Software Testing

description: "Interview Data," which contains all of the information obtained through one-on-one interviews, and "Survey Data," which contains information obtained from surveys utilising data forms. Annotated transcripts of the interviews with time stamps are given in the "Interview Annotated Summary" spreadsheet file. A pointed summary of the questions asked during the interview on the topic of "Preventative Tests" is included in the "Interviews Preventative Tests Pointer" excel file. Each column represents a question, and the details provided in the rows indicate my interpretation of the information I received from the interviewers. Redme file provides details of dataset description.
DOI: 10.17632/z45txpdp7f.1
title: Graph-Based Social Media Data on Mental Health Topics

description: This dataset is structured as a graph where users are represented as nodes and their interactions, such as tweets, retweets, replies, and mentions, are represented as edges. Each node contains detailed information about the user, including their name, ID, number of followers and following, and tweet activity, offering insights into their identity, role, and influence within the mental health discourse. The edges illustrate the interactions between users, highlighting engagement patterns and the types of content that drive user interactions, such as tweet impressions. By analyzing these interactions, the dataset provides valuable insights for sentiment analysis, enabling researchers to explore public reactions to mental health topics, identify engagement trends, and understand which aspects of mental health resonate most with the audience.
DOI: 10.17632/v6437jt82w.2
title: TB REACH PATH Nagpur project data

description: TB register for TB REACH project with anonymized data which was used for the publication titled 'Implementing chest x-ray artificial intelligence tool to enhance tuberculosis screening, India: Lessons learnt '
DOI: 10.17632/76s26nrcpv.2
title: Supplementary materials - STB-VMM: Swin Transformer Based Video Motion Magnification

description: Reference benchmark videos showcased in STB-VMM: Swin Transformer Based Video Motion Magnification. This dataset contains the original benchmarks as well as the results obtained using STB-VMM and learning-based video motion magnification (LB-VMM) [10.48550/arXiv.1804.02684]. These videos serve as a qualitative comparison between both learning based methods' image quality. The dataset is intended to help researchers and practitioners in the field of video motion magnification to evaluate and compare the performance of different methods.

The code for STB-VMM is open source and available at: https://github.com/RLado/STB-VMM