cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gh56wbsnj5
title: Coconut Tree Disease Dataset

description: The "Coconut Tree Disease Dataset" is a comprehensive collection of 5,798 labeled images, encompassing five distinct disease categories prevalent in coconut trees: "Bud Root Dropping," "Bud Rot," "Gray Leaf Spot," "Leaf Rot," and "Stem Bleeding."
DOI: 10.17632/pc69rcs94y
title: Optimizing Submersible Pump Regulation of a Clogging Prone Groundwater Heat Pump System in Melhus, Norway

description: Monitoring data between 2019 and 2022 from the Lena terrasse groundwater heat pump (GWHP) system in Melhus, Norway, including hydraulic and thermal monitoring data (daily median), COP, step discharge tests and water quality data. 
Please refer to the technical note below for metadata:
Stenvik, L. A., Ramstad, R. K., & Frengstad, B. S. (accepted). Optimizing Submersible Pump Regulation of a Clogging Prone Groundwater Heat Pump System in Melhus, Norway. Science and Technology for the Built Environment. doi:10.1080/23744731.2022.2136901
DOI: 10.6084/m9.figshare.12941747.v1
title: Data for lithology identification from well log curves

description: Source data used to train model. Original dataset can be downloaded at https://www.geolink-s2.com.
DOI: 10.17632/2xwknznwx7
title: Data for: Indoor thermal comfort review: The tropics as the next frontier

description: • The datasets presented here can be useful to identify gaps of research and opportunities for further development on indoor thermal comfort in tropical regions. • The data allows statistical analysis of volume, origin, emphasis, and impact of representative documentation in this subject. • The tables provided facilitate the comparison of research from different countries and cities concerning their climate and demographics. • The reader can easily visualise the content, impact and number of citations of different studies on ITC and the presence of tendencies and data patterns. • This data can be combined with similar data from other regions for further insights into state-of-the-art research worldwide.
DOI: 10.17632/77rpf3xkbn
title: Bangladeshi Sign Language (Bdsl) Words dataset

description: In this data repository two zip files: one contains the primary data, and the other contains augmented data. This dataset consists of images related to Bangladeshi Sign Language, focusing on 10 common words used in daily life. These words are categorized into 10 classes: myself, you, they, think, friend, salam (hello), color, surprise, request, and promise.

- Primary Data: Contains 1000 images in total, with each class having 100 images.
- Augmented Data: Through augmentation techniques, the dataset has been expanded to 6000 images. Augmentation methods include:
 - Flipping (vertical and horizontal)
 - Rotation (0-45 degrees)
 - Adding 3-7% blur in the background
 - Hue saturation adjustments (hue shift 0-5, saturation 0-50)
 - Conversion to grayscale

This dataset aims to facilitate the recognition and understanding of Bangladeshi Sign Language gestures through machine learning and computer vision applications.
DOI: 10.17632/dd7ht5k5pn
title: Data for "Coupled task scheduling with exact delays: Literature review and models"

description: Data includes sets of benchmark instances for the Coupled task Scheduling Problem. The benchmarks are divided into single machine and flow shop data. The single machine part include 11 sets of benchmark, each one containing 240 instances. The two main benchmarks are the General Set and the Restricted Set. The description for other sets (available in the folder named special cases) are available in the source paper. Each instance file (in .txt format) contains three columns, representing initial tasks, delays and completion tasks respectively. The flow shop data includes three files per instance, containing processing times, delays and due dates. Weights files are also available. The data is related to the paper published in the European Journal of Operational Research with the title: Coupled task scheduling with exact delays: Literature review and models Mostafa Khatami, Amir Salehipour, T.C.E. Cheng
DOI: 10.17632/8m84swkfyp
title: Data for Experiments 1-3: Differences in time-based task characteristics help to explain the age-prospective memory paradox

description: The data supporting all analyses presented in the results of each experiment for manuscript "Differences in time-based task characteristics help to explain the age-prospective memory paradox" (Accepted for publication in Cognition on 31st March, 2020) are provided here as supplementary online material. For each experiment, we provide each participant’s demographic data; proportion correct score for event, time-of-day, and time-interval cued tasks for each setting (i.e., Virtual Week and MEMO); and contextual data (MEMO). The contextual data for Experiment 1 includes reported location and activity; for Experiment 2 and 3: location, activity, and retrospective memory test (recognition of quiz type). Note: odd quiz numbers (e.g., “quiz 1.1”; day 1 quiz 1] are always time-of-day quizzes; and even quiz numbers (e.g., “quiz 1.2”; day 1 quiz 2) are always time-interval quizzes.
DOI: 10.6084/m9.figshare.24501310.v5
title: Datasets and codes - Insect acoustic activity, Do Nascimento et al. 2024

description: Dataset and codes for Do Nascimento et al. 2024.
DOI: 10.17632/fctghwx3r9
title: Utilizing domain knowledge: robust machine learning for building energy performance prediction with small, inconsistent datasets

description: The open data for Chen, Xia, Manav Mahan Sing, and Philipp Geyer. "Utilizing Domain Knowledge: Robust Machine Learning for Building Energy Prediction with Small, Inconsistent Datasets." arXiv preprint arXiv:2302.10784 (2023).

Credit for the dataset crafting: Manav Mahan Singh
DOI: 10.17632/kpxxc62pyz
title: Metagenomic sequencing of gut microbiota at the genus level in ketamine-addicted Sprague-Dawley rats

description: In this data, we hypothesize that ketamine addiction leads to significant changes in the composition and function of gut microbiota in rats, and these changes are associated with addictive behavior and related physiological indicators. By conducting metagenomic sequencing of gut microbiota in ketamine addicted rats, we obtained detailed microbiome data and revealed differences in microbial composition between different experimental groups. Important findings include significant changes in the abundance of certain key microbial genera in the gut of ketamine addicted rats. Data analysis suggests that ketamine addiction may affect brain function and addictive behavior by regulating gut microbiota, providing a new perspective for understanding the role of the gut brain axis in addiction mechanisms.
DOI: 10.17632/z2zfh673wy
title: Classification of Autism spectrum disorder severity using eye tracking data based on visual attention model

description: We proposed a supervised method to classify autism spectrum disorder in two groups (severe and nonsevere) by using eye-tracking data processed based on a computational Model of Visual Attention. The use of eye tracking to classify subgroups of ASD may contribute to aid in decision making from diagnosis to treatment definition. Further studies, using larger sample sizes, other phenotypic data, such as the presence of comorbidities, behavioral profile, as well as using more free viewing images are necessary so that the use of eye tracking technique could be used to subgroup patients in clinical practice.
DOI: 10.17632/xfnzd2c8v7
title: Nature-Inspired Algorithms

description: This data contains a comprehensive collection of all Nature-Inspired Algorithms that have been published to-date. This collection is a result of two corresponding surveys, where all nature-inspired algorithms were gathered and preliminary data have been acquired. Detailed description is given in the txt file. The data set consists of 43 variables, including the algorithm's name, the year presented, the name of the author(s), the name of the Journal or Conference where it has been published, the applications tackled in the initial study, etc. The full description of the dataset is given in https://doi.org/10.1016/j.dib.2020.105792 .
DOI: 10.6084/m9.figshare.20045645.v1
title: EFFECTS OF PHYSICAL ACTIVITY ON THE MOOD STATES OF YOUNG STUDENTS

description: ABSTRACT The objective of this research was to analyze the effect of level of physical activity on perception of mood states among young students in the final grades of high school. The sample consisted of a total of 216 students, of both sexes, with an average age of 16.89±1.48 years. This cross-sectional research was characterized as descriptive and of a quantitative nature. For data collection, the Brunel Mood Scale (BRUMS) and the Habitual Physical Activity Questionnaire were used. Normality was verified through the Kolmogorov-Smirnov test. Subsequently, inferential statistics for non-parametric data were applied, with the Kruskal-Wallis and Dunn’s Post-Hoc tests. Spearman’s correlation coefficient was used to check the relationship between level of physical activity and mood states. Significance was set at p&lt;0.05. From the results, we found that the perception of mood states reported by young students had significant differences when we consider this population’s level of physical activity. Young individuals classified as physically inactive reported a lower level of vigor, as well as a greater predisposition to negative mood aspects compared to physically active ones. In this case, physical activity can contribute to a better perception of psychological health.
DOI: 10.17632/p6txvpc7w8
title: Data for: Nationally Poor, Locally Rich: Income and Place in the 2016 Presidential Election

description: This is a do-file, which processes publicly available CCES and Census data available at the URL cited in the references. The second file is correct, it is not clear how to delete the duplicate.
DOI: 10.17632/fc6m4s2xfm
title: EFFECTS OF HANDEDNESS ON CERVICAL SIDE FLEXION IN ADULTS

description: Hand dominance decides the involvement of extremities during activities of daily living therefore each side of the body undergoes different amounts of stress and load which leads to varying degenerative changes. When diagnosing musculoskeletal problems and tracking prognosis, range of motion (ROM) assessments are frequently used. Therefore, ROM is a helpful clinical indicator of tailored treatment plans. Current rehabilitation literature suggests to goal for equal ROM at the effected joint as contralateral side which may differs greatly based on the dominance of the extremity. The aim of the project is finding the average readings for cervical range of motion (CROM) for lateral flexion in left and right-hand dominant population respectively. Demographic details of 308 participants of both genders (age 18-28 years) were documented which were divided into two groups based on their hand dominance i.e. left and right, subjects were informed about the procedure after which the ranges for cervical lateral flexion on both sides were recorded in degrees using a single inclinometer method. The normative reference value of left cervical lateral flexion (LCLF) & right cervical lateral flexion (RCLF) of participants with right hand dominance which is stated in Mean ± SD. The LCLF & RCLF’s-mean and ranges are expressed to be 42.272 (26.00-62.00) & 47.344 (31.00-71.00) degrees respectively. To get the precise evaluation, the geometric mean (95%CI) was employed, which is as follows: 41.616 (41.088-43.457) & 46.641 (46.045-48.642).
The normative reference value of LCLF & RCLF of participants with left hand dominance which is stated in Median (IQR). The LCLF & RCLF median and ranges are expressed to be 51.00 (32.00-70.00) & 47.00 (32.00-69.00) degrees respectively. To get the precise evaluation, the geometric mean (95%CI) was employed, which is as follows: 49.787 (49.175-51.421) & 47.866 (47.225-49.605). The research was effective in determining the normative reference value of cervical lateral flexion in subjects aged 18 to 28 with respect to hand dominance.
DOI: 10.17632/w73svj4xwr
title: 2D WAXD, SAXS data - mesophases in polymer fibers

description: This repository contains unwarped 2D WAXD and SAXS data of drawn melt-spun polymer fibers from amorphous materials (polycarbonate (PC), cyclo-olefin polymer (COP), copolyamide (coPA), polyethylene terephthalate glycol (PETG)) and 2D WAXD data of drawn melt-spun polymer fibers from semi-crystalline materials (polyethylene terephthalate (PET), poly-3-hydroxybutyrate(P3HB)) .
DOI: 10.17632/fnz5bt24st
title: Sermon_audio_and_text_dataset (SAT)

description: Sermon_audio_and_text_dataset (SAT) The Sermon Audio and Text (SAT) dataset addresses a significant gap in the realm of Islamic Friday Sermons (IFS) research. It offers a rich collection tailored for studies in theology, culture, and linguistics, especially pertinent to Arab and Muslim communities. Contents: Volume: Comprises 21,253 synchronized entries of audio and transcription. Coverage: The dataset captures the nuances of Friday sermons, pivotal in understanding the religious, cultural, and linguistic fabric of the Muslim world. Description of the data and file structure The SAT dataset is divided into folders (audio and text). Inside the Audio folder, separate subfolders for each sermon appeared, such as (sermon_1,sermon_2.. and so on). Also, inside each sermon folder, the wav files appeared named (0_sermon_1, 1_sermon_1, 2_sermon_1, and so on). Inside the text folder, for each corresponding audio sermon, the text transcript appeared which was divided into separate subfolders for each sermon, such as (sermon_1,sermon_2.. and so on). Inside each sermon folder, the txt files appeared named (0_sermon_1, 1_sermon_1, 2_sermon_1, and so on). The high-level metadata in the Excel file was provided, to help users read general information about each sermon such as (location, time, date, preacher name, ... so on). The low-level metadata (more details information for each sermon including the length for each chunk audio "sermon wav files", total number of chunks, silence threshold that is used for segmentation... and so on.
DOI: 10.6084/m9.figshare.17711108.v2
title: SSM_mon_1950-2014.nc

description: Monthly data of 7cm soil moisture in the surface layer of China. The time range includes the historical period 1850-2014 and the future period 2015-2100 (the future period includes four different shared socio-economic paths: ssp1-2.6, ssp2-4.5, ssp3-7.0 and ssp5-8.5). The spatial resolution is 0.25 °. This data is based on the deep learning method, taking the 7cm surface soil moisture data of era5 land as a reference, and integrating the surface soil moisture data of 25 scaled down cmip6 models. In the context of climate change, data can be used for drought and vegetation correlation analysis.
DOI: 10.17632/44rb34z8w7
title: Data set [Cover letter]

description: Highlights relevant to the journal include the study's goals, significant findings, novelty, and study scope.
DOI: 10.17632/5ns4gn8smy
title: Program for calculating transmittance of grating smart windows and calculated data

description: A program for calculating transmittance of grating smart windows and calculated data for all possible values and signs of calculated parameters are presented. Design of grating optical filter for smart windows and all equations for calculating its parameters are described in [Zakirullin RS, Odenbakh IA. Simulating annual autoregulation of daylight by grating smart window with angular-selective transmission. J Build Perform Simul. https://doi.org/10.1080/19401493.2023.2256690]. Results of numerical simulations are presented in 8 Microsoft Excel 2019 files named, for example: program+-35+-30.xlsx The first number in the file name means the slope angle of the gratings, the second number means the difference between the azimuths of the Sun and the window A-Aw. Combinations of signs of these angles in the file name mean, in this example: ++ or --. Each Microsoft Excel file contains next columns: Time (this column is empty, for real calculations it is necessary to set the time) h, deg (the elevation of the Sun at set the time) А, deg (the azimuth of the Sun at set the time) A-Aw, deg (the difference between the azimuths of the Sun and the window) , deg (the incidence angle of the solar beam) x, mm (the coordinate of the trace of the point of incidence solar beam onto the input gratings surface, left on the output gratings surface) y, mm (the coordinate of the trace of the point of incidence solar beam onto the input gratings surface, left on the output gratings surface) , deg (the projection of the incidence angle onto the plane orthogonal to the gratings orientation) , mm (the shift between the traces of the input gratings on the output gratings surface at the characteristic and arbitrary incidence angle) cor, mm (the corrected shift) teor#c (the theoretical transmittance of a filter with different strip widths) cor#c (the corrected transmittance of a filter with different strip widths) teor=c (the theoretical transmittance of a filter with equal strip widths) cor=c (the corrected transmittance of a filter with equal strip widths) teor-c (the theoretical transmittance of pure glass) cor-c (the corrected transmittance of pure glass)
DOI: 10.17632/t395bwcvbw
title: Image Dataset for Roadway Flooding

description: Flood-prone communities e.g. coastal areas experience frequent flooding due to storm surge, heavy rain and sea level rise. This dataset consists of 441 annotated roadway flood images that can be used as training samples to train computer vision based flood detection algorithms.
DOI: 10.6084/m9.figshare.5104675.v1
title: Supplementary Material for: Stromal-Derived Factor 1 Signalling Regulates Radial and Tangential Migration in the Developing Cerebral Cortex

description: Stromal-derived factor 1 (SDF-1), a known chemoattractant, and its receptor CXCR4 are widely expressed in the developing and adult cerebral cortex. Recent studies have highlighted potential roles for SDF-1 during early cortical development. In view of the current findings, our histological analysis has revealed a distinct pattern of SDF-1 expression in the developing cerebral cortex at a time when cell proliferation and migration are at peak. To determine the role of chemokine signalling during early cortical development, embryonic rat brain slices were exposed to a medium containing secreted SDF-1 to perturb the endogenous levels of chemokine. Alternatively, brain slices were treated with 40 µ<i>M</i> of T140 or AMD3100, known antagonists of CXCR4. Using these experimental approaches, we demonstrate that chemokine signalling is imperative for the maintenance of the early cortical plate. In addition, we provide evidence that both neurogenesis and radial migration are concomitantly regulated by this signalling system. Conversely, interneurons, although not dependent on SDF-1 signalling to transgress the telencephalic boundary, require the chemokine to maintain their tangential migration. Collectively, our results demonstrate that SDF-1 with its distinct pattern of expression is essential and uniquely positioned to regulate key developmental events that underlie the formation of the cerebral cortex.
DOI: 10.17632/gr3yyg7y7r
title: Work-Related Musculoskeletal Disorders among Clinical Physiotherapists in Ambala.

description: Musculoskeletal system disorders are a frequent occurrence for healthcare workers globally. They more often cause physical damage. Musculoskeletal disorders are abnormalities of the muscles, tendons, nerves, and joints (MSDs). Work-related musculoskeletal disorders are those in which the nature of the work and the surrounding environment play a role in the development of the disorder (WRMSDs).  so we are doing this study  To check the prevalence of Work-Related Musculoskeletal Disorders among Clinical physiotherapists in Ambala.
DOI: 10.17632/kzk3khxdz8
title: Eplorting arbuscular mycorrhizal fungi diversity among loquat varieties

description: The data is from the amplicon sequencing of the second generation of the soil rhizosphere of loquat, yielding sequences of Arbuscular Mycorrhizal Fungi (AMF).
DOI: 10.17632/vcnv6y9r6z
title: 3 Class Image Classification CNN Model

description: This CNN model has been written and tested on Google Collab. 
It can be used for classification of compositional patterns containing color. It has been trained and tested on datasets containing paintings, graphic patterns, photography, interior architecture and building facades providing reliable outcomes. 
The model employs a ResNet network and can be run in any system as it needs the least space for being loaded and run. It also functions quite fast.
The author suggests to use more than 10 epochs when training for better results. The model also can be merged with a similar structured MobileNet model.
DOI: 10.17632/vwp3xvp2x8
title: Data for "Within- and Between-Person Factor Structure of the Oldenburg Burnout Inventory: Analysis of a Diary Study using Multilevel Confirmatory Factor Analysis"

description: The study examined the factor structure of burnout, as measured with the Oldenburg Burnout Inventory, taking into account a hierarchical data structure: daily evaluations nested in persons. The participants were 235 employees of a public administration agency who assessed their burnout online immediately after office hours for 10 consecutive working days (from Monday to Friday). Two models were tested with multilevel confirmatory factor analysis, assuming the same one or two-factor structure tested at the within- and between-person levels. The results were ambiguous, as both models showed a reasonable fit to the data. However, since exhaustion and disengagement were strongly correlated at each level and within-person reliability for disengagement was rather low, a unidimensional model seems more valid. Nonetheless, cross-level invariance was not confirmed for either of the structures, showing that factor loadings for the same items differ significantly between the levels. These results suggest that burnout is not the same latent variable at each level; rather, there are factors other than daily burnout experiences that influence person-level scores on the items. Ignoring these across-level discrepancies may lead to biased conclusions, since individuals were found to be an unexpected source of construct variability in our study
DOI: 10.17632/r7d85yjd6f
title: PERBANDINGAN METODE PELAKSANAAN DINDING PENAHAN TANAH MENGGUNAKAN SECANT PILE DAN SHEET PILE
DOI: 10.17632/ss46bm9yby
title: The Effectiveness of an Educational Intervention to Introduce Adolescents From Marginalized Backgrounds to Dermatology

description: Supplemental Material of Brief Report.
DOI: 10.6084/m9.figshare.24217881.v1
title: LandEvol-PROV

description: The LandEvol-PROV is an approach to analysis and management of urban geospatial data, more specificaly, from the MapPLUTO dataset of New York City, in multiple papers.All the code was developed with <code>Python 3</code> and the dependencies can be resolved with each project <code>requirements.txt</code>. For more information, please refer to the apointed papers.<br><br>This is the Neo4J database obtained for the papers.
DOI: 10.17632/2r7t3m62dv
title: Blueberries bioactive compounds extraction data

description: This is the data for my researc.
DOI: 10.17632/cfb5tj5khc
title: Data for: Tensile strength of a FRP–aluminum cylindrical joint bonded using adhesive injection

description: Data collected from Zwick/Roell Z400 by means of tensile testing
DOI: 10.6084/m9.figshare.20456868.v1
title: 2018 Chinese Electriciy-focused Input-output Table with 166-commodity by 166-commodity

description: The most disaggregated table with 166 sectors. All data were calculated at producer prices in 2018 with a monetary unit of 10 thousand CNY. It is stored as an Excel file (available in English and Chinese) and a Matlab Data file.