cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wvt649xnvw
title: SUS Analysis- Participants rating data

description: For the usability analysis, we have utilized the System Usability Scale (SUS) [22]. The scale is used to assess the system usability from a user’s perspective. The SUS questionnaire provides a structured rating system for judging the usability of the system according to the standardized questions. Table 5 provides the list of questions of SUS asked to rate the system usability. SUS is a 10 item Likert scale through which the users subjectively rate their experience with the system on a scale of 1 (Strongly Disagree) to 5 (Strongly Agree). The participants were provided a brief description of an operation customization task with a visual cue related to the task. The participants were asked to implement the task using the RDM interface. No prior training was provided to the participants. Participants could interact with the system to complete the task. A supervisor checked the progress of the participant and recorded the information if the task was successfully completed without any errors or otherwise. Table 5: System Usability Scale items No. SUS Item Q1. I think that I would like to use this system frequently. Q2. I found the system unnecessarily complex. Q3. I thought the system was easy to use. Q4. I think that I would need the support of a technical person to be able to use this system. Q5. I found the various functions in this system were well integrated. Q6. I thought there was too much inconsistency in this system. Q7. I would imagine that most people would learn to use this system very quickly. Q8. I found the system very cumbersome to use. Q9. I felt very confident using the system. Q10. I needed to learn a lot of things before I could get going with this system.
DOI: 10.6086/d1ft3h
title: Dryad dataset awaiting publication

description: :unas
DOI: 10.17632/wk7nv8sz98
title: Popularity of surgical and pharmacological obesity treatment methods searched by Google users: the retrospective analysis of Google Trends statistics in 2004-2022

description: Background
Many individuals search for obesity treatment options on the Internet. We aimed to analyze the popularity of pharmacological and surgical obesity treatment methods searched by Google users.
Methods
We used Google Trends to identify topics representing: recommended surgical methods (n=9), recommended pharmacological methods (n=10), and not recommended pharmacological methods (n=34). The data was generated for 2004-2022 and 2020-2022. Relative Search Volume (RSV) was adjusted using "Gastric bypass surgery" as a benchmark. We analyzed the geographical and temporal trends of the topics.
Results
In 2004-2022, the topics representing recommended surgical methods numerically gained the most popularity among Google users, but in 2020-2022 the recommended drugs exceeded other obesity treatment methods. The most popular individual topics since 2004 were "Flaxseed", "Spirulina", "Carnitine", "Bariatric surgery", and "Orlistat". The most dynamic increases of searches since 2004 were observed for "Sleeve gastrectomy", "Curcumin", "Psyllium" and "Bupropion / Naltrexon". Since 2018, topics representing GLP-1 analogs such as "Semaglutide" and "Saxenda" revealed exponential increases in RSV, causing that "Semaglutide" to become the 4th most popular topic in 2020-2022.
Conclusions
Google users across the world were the most interested in topics representing bariatric surgery, but recently recommended drugs for the treatment of obesity gained the most attention. The most popular individual topics were dietary supplements with uncertain effects on weight loss. Professionals should recommend reliable Internet sources about obesity.
DOI: 10.17632/82k8x5tpkn
title: Black-box Dynamic Modeling of Smart Inverters : Dataset and Models

description: A significant amount of converter-based generation is being integrated into the bulk electric power grid to fulfill the future electric demand through renewable energy sources, such as wind and photovoltaic. The dynamics of converter systems in the overall stability of the power system can no longer be neglected as in the past. Numerous efforts have been made in the literature to derive detailed dynamic models, but using detailed models becomes complicated and computationally prohibitive in large system level studies.

This work drives the data-driven using the black-box approach to model the dynamics of a power electronic converter. A set of linear dynamic models for the converters including three-phase, two-phase, and single-phase grid following inverters are derived, which can be employed for system level studies of converter-dominated electric grids.
DOI: 10.17632/9rh4tdwy57
title: Raw data on the phytochemical content of banana leaf (Musa x paradisiaca) and Betta splendens rearing water containing Brown Banana leaf (Musa x paradisica) along with main water quality data of the rearing water

description: This files contains raw data of:  1) Raw data of tannin, saponin and flavonoid content of banana leaf (Musa acuminata x balbisiana) at different maturity level; 2) Raw data on the phytochemical content (tannins and flavanoid) of Betta splendens rearing water containing brown banana leaf at different weight recorded every 2 days for 2 weeks; 3) water quality (pH, Total Ammonia, Dissolved oxygen and temperature) data of Betta splendens rearing water containing brown banana leaf at different weight recorded every 2 days for 2 weeks
DOI: 10.17632/crrzx74gfr
title: EFECTIVIDAD DE LOS EXTRACTOS DE NEEM (Azadirachta indica) Y JABONCILLO (Sapindus saponaria) PARA EL CONTROL DE PULGÓN NEGRO (Toxoptera aurantii) EN EL CULTIVO DE NARANJA (Citrus sinensis), SITIO PAGUA - EL ORO

description: El uso combinado de neem y jaboncillo es una estrategia eficaz y sostenible para el control de pulgones en cultivos de naranja. El neem, derivado del árbol Azadirachta indica, contiene azadiractina, un compuesto que interfiere con los sistemas hormonales de los pulgones, impidiendo su alimentación y reproducción. El jaboncillo, por su parte, actúa como un insecticida de contacto que desintegra la capa cerosa que protege a los pulgones, causando su deshidratación y muerte. Al combinar ambos, se logra un efecto sinérgico: el neem debilita y reduce la población de pulgones a largo plazo, mientras que el jaboncillo proporciona un control más inmediato. Esta combinación es especialmente valiosa en un enfoque de manejo integrado de plagas, ya que es respetuosa con el medio ambiente y minimiza el impacto sobre insectos beneficiosos, asegurando un control efectivo de las plagas sin recurrir a productos químicos agresivos.
DOI: 10.17632/xms53fnz72
title: An Automatic Variogram Modeling Method with High Reliability Fitness and Estimates

description: AutoVarioModelingW_GV_WALKER.prj is a data project of SGeMS recording the classic Walker Lake Dataset, including 470 samples and 780 estimated points.
DOI: 10.17632/dfg449h2wt
title: Inflammatory potential of gut microbiota from monozygotic twin pair discordant for ulcerative colitis 

description: Gut microbiota perturbations are common in inflammatory bowel disease (IBD), including ulcerative colitis (UC), but it is unclear whether this is a result of the disease or a contributing factor. In twin pairs discordant for IBD, the healthy co-twin is at an increased risk of IBD and has a gut microbiota more similar to IBD patients than healthy individuals. Moreover, appropriate medical treatment may reduce the perturbations. We, therefore, transferred stool from a discordant twin pair, i.e. one healthy and one treated for UC, to germ-free mice by the inoculation of pregnant dams. Dextran sodium sulfate was used to induce colitis in the pups. Offspring of mice inoculated with stool from the UC twin had a lower disease activity index (DAI) and gut inflammation and microbiota with higher alpha diversity and a more anti-inflammatory profile, with the exclusive presence of the anti-inflammatory Akkermansia species, compared to offspring of mice inoculated with stool from the healthy co-twin. These results indicate that the healthy twin had a more inflammatory microbiota than the twin treated for UC. Our study suggests that individuals susceptible to IBD have a more inflammatory gut microbiota. Future studies should assess the potential use of individual gut microbiota inflammatory profiles in personalised medicine.
DOI: 10.17632/p6p6j3s3sn
title: Morphea &N Tofacitinib

description: Supplementary files for Morphea & Tofacitinib
DOI: 10.17632/yb9v8y2jgd
title: Fluoropolymer Coatings for Solar Cover Glass: Anti-Soiling Mechanisms in the Presence of Dew - Supplemental Material and Datasets

description: The dataset contains supplemental materials for Fluoropolymer Coatings for Solar Cover Glass: Anti-Soiling Mechanisms in the Presence of Dew. Table of Contents Fig. S1. Soiling rate using CDA (cloud deposition apparatus) measured by a decrease in %T at λ=550nm as a function of dust exposure time (open-door time). Fig. S2. Initial Direct Light Percent Transmittance (%T) Fig. S3. Atomic Force Microscopy (AFM) Images of Test Surfaces Fig. S4. Atomic Force Microscopy (AFM) Images of Test Surfaces Fig. S5. Soiling plots of all individual samples: Percent Transmittance at 550 nm Fig. S6. Soiling plots of all individual samples: Percent Surface Area Covered by Dust Fig. S7 Large Area View of Hydrophobic Coated Glass After One Dew-Dust-Dry Cycle Fig. S8. Effect of Soiling Sequence: Dust Deposited on Condensate vs Condensation onto a Dust-coated Surface. Fig. S9. No-Touch Cleaning after Dry Soiling Fig. S10. Photographs of Bare Glass and Hydrophobic Surfaces after soiling (before controlled cleaning) and after controlled cleaning Table S1. Contact Angle Hysteresis and Sliding Angles of the Test Substrates Table S2. Supplementary Videos
DOI: 10.17632/r28xxr6p92
title: ChEMU-Ref dataset for Modeling Anaphora Resolution in the Chemical Domain

description: In biochemistry, chemical compounds play an important role in pharmaceutical research and can help to save many lives from severe diseases. For chemical compound analysis, the discovery of compounds is usually first presented in chemical patents, which makes patent corpus analysis important for biochemical research. However, extracting actionable knowledge from corpus data has for some time been recognised as a bottleneck for drug discovery. To tackle this bottleneck, an information extraction system that automatically decomposes the research results, specifically chemical patents, into structured data, can be useful in facilitating the process of finding, relating, and reasoning for drug discovery. To build this kind of information extraction system, one of the most critical tasks is to extract reaction information, including chemical products, reaction conditions, the interaction of different products, etc. However, in natural language text, including biochemical literature, there are various referring relationships needed to be concerned among expressions and it is critical in understanding text. For instance, linguistic “short cuts" (pronouns, abbreviations, etc.) is applied to avoid redundancy in repeating names or complex descriptions. This is one of the major obstacles that limit the performance of information extraction systems since systems need to figure out which entity is referred to in a given context. In chemistry, figuring out the referring relations is more challenging as it needs not only common knowledge but also chemical knowledge. Therefore, to tackle anaphora resolution in the chemical domain, this ChEMU-Ref dataset is created.
DOI: 10.17632/6t6tjsk66d
title: Replication Files For The Paper Titled Welfare and Income Effects of Tuition Subsidies and Public Investment in Schooling (Economic Modelling)

description: The basic data and data for observables used in the paper along with Matlalb and Dynare files for replicating the results of the paper.
DOI: 10.17632/ctngczb9rp
title: “EFFECTIVENESS OF KINESIO-TAPING ADJUVANT TO KABAT PHYSICAL REHABILITATION TO REDUCE DISABILITY AND IMPROVE QUALITY OF LIFE IN PATIENTS WITH BELLS PALSY - A QUASI EXPERIMENTAL TRIAL” 

description: Bell’s palsy, named after the Scottish anatomist, Sir Charles Bell. It is the most common acute mono-neuropathy, it is a disorder affecting a single nerve involving sudden unilateral peripheral paralysis of the facial nerve. Bells palsy accounts for  about  75% of all acute facial palsies and about 30% of the bells palsy patients who do not receive appropriate treatment  may suffer from incomplete recovery. Reported annual incidence varies in different parts of the world varies between 11 to 40 per 100 000 people. The incidence of Bell's palsy is 20-30 cases for 100,000 in India and almost accounts for 70% of all cases of unilateral peripheral facial palsy It is an idiopathic form of lower motor neuron paralysis.,the objective of the study was to reduce the disability and improve the quality of life by the adjuvant use of kinesio taping and kabat physical rehabilitation on the patient with bells palsy , we concluded that the outcome tools HBS( house brackmann scale) , FDI (facial disability index) and FaCE (facial clinimetric evaluation scale) shows a significant results.
DOI: 10.17632/9bb6w2pg7z
title: Summer Sea Ice Concentration of Arctic from Passive Microwave Data (1988-2020)

description: This dataset includes Arctic sea ice concentration (SIC) from 1988 to 2020. It is based on a machine learning model trained using 2001-2020 MODSI SIC data, in which the influence of wet sea ice and melt pond on SIC is considered. The input data for the machine learning model is 25km SSMI/SSMIS passive microwave brightness temperature data from1988 to 2020, with a temporal resolution of 1 day.
The data is provided in GeoTiff format.
DOI: 10.6084/m9.figshare.20060213.v1
title: Production of pine sawdust biochar supporting phosphate-solubilizing bacteria as an alternative bioinoculant in Allium cepa L., culture

description: Raw data supporting the paper submitted to Scientific Reorts. <br> Paper authors are: <br> Andrea Blanco-Vargas 1,2,3<strong>†</strong>, María A. Chacón-Buitrago 1, María C. Quintero-Duque 1, Raúl A. Poutou-Piñales 2, Lucia A. Díaz-Ariza 3, Carlos A. Devia-Castillo 4, Laura C. Castillo-Carvajal 5, Daniel Toledo-Aranda 5, Christiano da Conceição de Matos 6, Wilmar Olaya-González 3, Oswaldo Ramos-Monroy 7, Aura M. Pedroza-Rodríguez 1* 1 Laboratorio de Microbiología Ambiental y de Suelos, Unidad de Investigaciones Agropecuarias (UNIDIA). Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana. Bogotá, D.C., Colombia. 2 Laboratorio de Biotecnología Molecular, Grupo de Biotecnología Ambiental e Industrial (GBAI). Departamento de Microbiología. Facultad de Ciencias. Pontificia Universidad Javeriana. Bogotá, D.C., Colombia. 3 Laboratorio Asociaciones Suelo, Planta Microorganismo (LAMIC). Grupo de Investigación en Agricultura Biológica. Departamento de Biología. Facultad de Ciencias. Pontificia Universidad Javeriana. Bogotá, D.C., Colombia. 4 Facultad de Estudios Ambientales y Rurales. Departamento de Ecología y Territorio. Pontificia Universidad Javeriana. Bogotá, D.C., Colombia. 5 Facultad de Ciencias de la Salud. Universidad Anáhuac Campus Norte. México, D.F., México. 6 Departamento de Ciências Agrárias e Naturais. Universidade do Estado de Minas Gerais. Ituiutaba, Minas Gerais. Brazil. 7 Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas, Prolongación de Carpio y Plan de Ayala S/N, Col. Santo Tomás, México CDMX, C.P. 11340.
DOI: 10.17632/nfc4d4kj69
title: Energy density and power density data

description: Data set for predicting energy density and power density using biomass feedstock characteristics
DOI: 10.6084/m9.figshare.5394421.v1
title: Principal Components Analysis Results

description: res_pca_rotation is the rotation matrix that arose from a principal components analysis on our publication data from 2012-2017; it contains information about the correlation structure of each variable and each principal component. res_pca_summary contains information about the std. dev and cumulative variance for each component. This is the information we used to threshold our choice of components to 4.
DOI: 10.17632/m4kz5ygxrn
title: FAMILY FINGERPRINT DATASET

description: A DATASET CONTAINING FINGERPRINT OF 100 FAMILY OF WEST BENGAL INDIA. THE DATASET CONTAINS FINGERPRINT IMAGE OF FIVE FINGER OF RIGHT HAND OF FATHER, MOTHER AND CHILD. THE DATASET CONTAINS TOTAL 1500 FINGERPRINT IMAGE IN PNG FORMAT. THE SIZE OF THE FINGERPRINT IMAGES ARE 512 x 512 PIXELS.
DOI: 10.6084/m9.figshare.5794722.v1
title: Appendix_C

description: <b>Multi-Angle Spectroscopic Remote Sensing of Arctic Vegetation Biochemical and Biophysical Properties.</b><br><br>Appendix C: Machine Learning Regression Algorithms
DOI: 10.17632/n3sk27ggwf
title: Data for: A model to examine farm household trade-offs and synergies with an application to smallholders in Vietnam

description: FarmDESIGN Model with the case study farms and their data for the paper "A model to examine farm household trade-offs and synergies with an application to smallholders in Vietnam" Lenora Ditzler, Adam M. Komarek, Tsai-Wei Chiang, Stéphanie Alvarez, Shantonu Abe Chatterjee, Carl Timler, Jessica E. Raneri, Natalia Estrada Carmona, Gina Kennedy, Jeroen C.J. Groot
DOI: 10.17632/nc4cg9bdcd
title: Data for: Can we locate shrimp aquaculture ponds from space? – A case study for Thailand

description: This shapefile (generated with ArcGis Desktop Version 10.8) contains the identified water areas in Thailand that have a high likelihood to be a shrimp pond and the identified land cover change. -9999 = NoData Pond 1= Shrimp water area 2= Non-Shrimp water area Farm_Unit = Identification number of the corresponding "farm unit" Water_Cat =Water category obtained from the global water surface explorer (Pekel, J.-F.; Cottam, A.; Gorelick, N.; Belward, A. S., High-resolution mapping of global surface water and its long-term changes. Nature 2016, 540, 418.) 1=Permanent 2=New permanent 4=Seasonal 5=New seasonal 7=Seasonal to permanent 8=Permanent to seasonal 9=Ephemeral permanent 10=Ephemeral seasonal Coastal = defines the location 1 = inland region 2 = costal region Area_km2 = Area of the related polygon in km2; measured by using the WGS 1984 World Mercator projection. Forest_km2 = “primary forested land” area in km2, that has potentially been converted by shrimp pond construction NFores_km2 = “primary non-forested” area in km2, that has potentially been converted by shrimp pond construction NPrima_km2 = “non-primary land” area in km2, that has potentially been converted by shrimp pond construction likelihood = Attributed shrimp pond water area likelihood class Class 1 has the comparably lowest likelihood to be a shrimp pond and class 3 has the comparably highest likelihood to be a shrimp pond.
DOI: 10.17632/x8nxfrp6x5
title: SEM Clay Characterization App

description: “SEM Clay Characterization App” is a deep learning-based app developed in MATLAB for typing and quantifying various clay minerals in SEM images of hydrocarbon-bearing rocks.
DOI: 10.17632/jcpfjnk5c2
title: UrduSER: A Dataset for Urdu Speech Emotion Recognition

description: Speech Emotion Recognition (SER) is a rapidly evolving field of research aimed at identifying and categorizing emotional states through the analysis of speech signals. As SER holds significant socio-cultural and commercial importance, researchers are increasingly leveraging machine learning and deep learning techniques to drive advancements in this domain. A high-quality dataset is an essential resource for SER studies in any language. Despite Urdu being the 10th most spoken language globally, there is a significant lack of robust SER datasets, creating a research gap. Existing Urdu SER datasets are often limited by their small size, narrow emotional range, and repetitive content, reducing their applicability in real-world scenarios. To address this gap, the Urdu Speech Emotion Recognition (UrduSER) was developed. This comprehensive dataset includes 3500 Urdu speech signals sourced from 10 professional actors, with an equal representation of male and female speakers from diverse age groups. The dataset encompasses seven emotional states: Angry, Fear, Boredom, Disgust, Happy, Neutral, and Sad. The speech samples were curated from a wide collection of Pakistani Urdu drama serials and telefilms available on YouTube, ensuring diversity and natural delivery. Unlike conventional datasets, which rely on predefined dialogs recorded in controlled environments, UrduSER features unique and contextually varied utterances, making it more realistic and applicable for practical applications. To ensure balance and consistency, the dataset contains 500 samples per emotional class, with 50 samples contributed by each actor for each emotion. Additionally, an accompanying Excel file provides detailed metadata for each recording, including the file name, duration, format, sample rate, actor details, emotional state, and corresponding Urdu dialog. This metadata enables researchers to efficiently organize and utilize the dataset for their specific needs. The UrduSER dataset underwent rigorous validation, integrating expert evaluation and model-based validation to ensure its reliability, accuracy, and overall suitability for advancing research and development in Urdu Speech Emotion Recognition.
DOI: 10.17632/yycfzxzrzh
title: Studying combined effects of neonicotinoid-fungicide mixture on wild bees

description: The effect of a plant protection product (PPP) mixture on bumble bees was tested. A novel method for quatering a bumble bee colony was developed to treat one colony with all four treatment solutions (control: sucrose water, fungicide: Cantus(R) Gold (non-SBI fungicide), insecticide: Mospilan(R) (neonicotinoid), mixture: fungicide + insecticide). The learning performance of bumble bees was tested in a free-flying learning experiment in flight arenas. The bumble bees were conditioned to colored artificial flowers (differential conditioning following a color preference test). The flight activity was measured with the help of the RFID system. Parameters such as foraging days, trips per foraging day and duration per trip could be analyzed. Additionally, the LD50 of the PPPs was determined in mortality studies.
DOI: 10.17632/9fmz65yczz
title: Code Repository for 'LTCM Redux? Hedge Fund Treasury Trading, Funding Fragility, and Risk Constraints'

description: This repository contains code used in "LTCM Redux? Hedge Fund Treasury Trading, Funding Fragility, and Risk Constraints" by Mathias S. Kruttli, Phillip J. Monin, Lubomir Petrasek, and Sumudu W. Watugala.
DOI: 10.17632/9yb6z5xn7b
title: Lumbosacral transitional vertebra

description: TRANSITIONAL VERTEBRA