cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gj5wx44jnz.1
title: Patch Testing Outcomes in Children at the Massachusetts General Hospital

description: Supplemental Table 1: Pediatric Baseline Patch Test Series Core
DOI: 10.17632/x6wyhmpj2v.2
title: Energy Efficiency Financing Dataset

description: Short description of the three Excel Files:

1. KPFI_Data on projects: 445 projects implemented under 11 tenders of the funded KPFI programme of the Republic of Latvia. Provides information: code number and name of tenders, project code number, CO2 reduction (in tons) as planned by each project, start/end date and project duration (in months), total costs and grant financing of each project.
2. KPFI_Data on activities: The following variables are listed: (a) The tenders’ code number, (b) the projects’ code number, (c) the building on which each project was implemented, (d) the detailed description of each implemented activity, (e) the CO2 reduction (in tons) per activity/building, (f) the energy reduction (in MWh) per activity/building and (g) the respective CO2 emission factor.
3. KPFI_Detailed implementation data: The following variables are listed: (a) General data information, including the reporting year, the tender’s code number, the project’s code number, and the planned CO2 reduction per year, (b) overall building data before project implementation, with reference to three sources of energy consumption, i.e., heating, hot water and electricity, (c) detailed data on the project implementation, i.e., for each source of energy consumption (heating, hot water and electricity) the dataset provides information on the total energy consumption (in MWh) and the CO2 emission (in tons) before the project and at the reporting year of implementation and (d) the reported monthly data for the temperature, the heating days and the energy consumption (MWh) of each source.
DOI: 10.17632/vsvvmsxn4g.1
title: Data for: Climate change awareness: Empirical evidence for the European Union

description: dataset
DOI: 10.17632/xbhcrdf95x.1
title: Temporal analyses of Starvation Responses in C. elegans_R scripts

description: R scripts
DOI: 10.17632/3f97sxn3n3.1
title: Elemental chemical composition bye EDS analysis of 4 orthodontic miniimplants 

description: This dataset provides the elemental chemical composition of 4 orthodontic miniimplas commonly used in Mexico: Dewimed®, Borgatta, Ormco™ and Forestadent®. . Ti6Al4V is the most common alloy used in miniimplants; so Ti, Al and V were semi-quantifed. An analysis of five miniimplants of each brand was performed. In each miniimplant, nine EDS were performed (three per area): head, neck and thread. A total of 45 EDS were obtained from each brand.
DOI: 10.17632/wmrjd7pjk2.2
title: Data for: A Novel Interval Optimization Method Using Feedforward Neural Network Differentiation and Interval Analysis

description: The files are the programs of the novel interval analysis approach and the new nonlinear interval number programming method.
DOI: 10.17632/3f88g2cb7x.2
title: Replication Package for "Robo Advisors and Access to Wealth Management"

description: This folder contains the code and data for the paper "Robo Advisors and Access to Wealth Management". Some of the datasets are not actual data, but pseudo data. Please see the read-me file for details.
DOI: 10.5061/dryad.7jn8t
title: Data from: Heritability and cross-sex genetic correlations of early life circulating testosterone levels in a wild mammal
DOI: 10.17632/s8x6jn5cvr.1
title: A Guava Fruits and Leaves Dataset for Detection and Classification of Guava Diseases through Machine Learning

description: (1) Plant diseases are the primary cause of reduced productivity in agriculture, which results in economic losses. Guava is a big source of nutrients for humans all over the world. Guava diseases, on the other hand, harm the yield and quality of the crop. (2) For the identification and classification of plant diseases, computer vision and image processing methods have been commonly used. (3) The dataset includes an image gallery of healthy and unhealthy Guava fruits and leaves that could be used by researchers to adopt advanced computer vision techniques to protect plants from disease. Dot, Canker, Mummification, and Rust are the diseases targeted in the data sets. (4) The dataset contains 306 images of healthy and unhealthy images for both Guava fruits and leaves collectively. Each image contains 6000 * 4000 dimensions with 300 dpi resolution. (5) All images were acquired from the tropical areas of Pakistan under the supervision of Prof. Dr. Ikramullah Lali. (6) All images were annotated manually by the domain expert such as For Guava fruits and leaves; Dot (76), Canker (77), Mummification (83), and Rust (70) Note: The data labeling was manual and can be updated by automatic labeling through machine learning. In the meantime, the authors can also use the data set for the clustering problem.
DOI: 10.17632/9xkyskfcxc.1
title: Journal of Islamic Education; No. 48

description: The main objective of Islamic Education is to provide an intellectual platform for national and international researchers to discuss their most recent findings related to educational psychology. 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. 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;

 Philosophy of Islamic education;
 Schools and approaches to Islamic education;
 Educational jurisprudence (Fiqh);
 Foundations, principles and methodology of Islamic education;
 History of Islamic education;
 Educational thoughts, views and ideas of Muslim scholars;
 Educational sciences such as educational management, curriculum planning and educational psychology with an Islamic approach;
 Comparative studies;
 The areas and dimensions of education in Islam include religious education, devotional education, moral education, sexual education, political education, and so on;
 Methodology of research in Islamic education;
 Examining different aspects of formal education with Islamic perspective;

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. This journal utilizes the Magiran and Noormags preservation systems to create a distributed archiving system for individual and libraries and to permit libraries stakeholders to create permanent archives of the journal.
DOI: 10.17632/3hx58k232n.1
title: EEG/EOG/EMG data from a cross sectional study on psychophysiological insomnia and normal sleep subjects

description: The data presented here were originally collected for a research project entitled “Sleep EEG spectral analysis in psycho-physiological insomnia and normal sleep subjects ”. This article describes data of 60 subjects referred to Sleep Disorders Research Center (SDRC). The study was conducted in psycho-physiological insomnia and normal subjects. The data includes 8 EEG, 6 EOG and 3 EMG channels by 256 Hz sampling rate. Also, it includes power spectral features of each band (δ, θ, α, β) in segment of 30 s for each channel and nonlinear analysis parameters. Moreover, the complete demographic and polysomnography specifications is attached.
DOI: 10.17632/wdmtpnwsrn.1
title: rbcL Gene in Global Molecular Data Repository

description: The data in this article gives an overview of the total number of plant species, families, with the rbcL gene sequence in the GenBank and the regions that have contributed to the growth of the rbcL sequence in the repository. The sequence data of the rbcL gene are used for the renewal of phylogenies among the seed plants. The rbcL gene is preferred among other plant genes for phylogenetic studies due to its slower rate of evolutionary changes and the lowest divergence among the plastid genes in flowering plants. The gene is suitable for solving intergeneric and interspecific relationships and has no difficulties in alignment. Some of the applications of the gene in the molecular investigations of plant species include: tracing of the molecular origin of plants, the biogeography origin of plants. The datasets used, in the study were collected as secondary data, and the Bio python code written for data collection can be assessed as Supplementary data, the rbcL gene data used was obtained from the first report till 2020.
DOI: 10.17632/hfhwmn8w24.3
title: Pasion et al. Location Data

description: This dataset accompanies the paper "Machine Learning Modeling of Horizontal Photovoltaics Using Weather and Location Data" submitted to the Journal of Renewable Energy. This file contains power output from horizontal photovoltaic panels located at 12 Northern hemisphere sites over 14 months. Independent variables in each column include: location, date, time sampled, latitude, longitude, altitude, year and month, month, hour, season, humidity, ambient temperature, power output from the solar panel, wind speed, visibility, pressure, and cloud ceiling.
DOI: 10.17632/3pbwkxjxg9.1
title: Mapping biological process relationships and disease perturbations within a pathway network - main results

description: Set cover The subset of pathways generated by the set cover, covering 100% of the genes and 99.95% of the genes are given in the tab delimited files are given by the set cover files. Semantic distances The 'all edges' file provides semantic distances in a text delimited file. One indicate the highest level of semantic similarity, lower numbers show reduced similarity. Disease/ drug strings list the terms used to filter for drug and disease terms Cancer pathways All cancer related pathways are supplied 'all cancer pathways.txt' The sample of cancers used in figure 9 are in 'cancer pathway nodes.txt'. The GI and leukemia pathways in figure 10 are in 'cancer GI pathways.txt' and 'cancer leukemia pathways.txt'. These files are formated as node annotations for use with the multicolored nodes plugin. Network files 'pathway network.cys' is a cytoscape file created in cytoscape 2.7 'edges bma wang.txt' contains the pathways used to generate the file 'functionally annotated in network.txt' contains the GO sample used in Figure 6. The file is formated as node annotations for use with the multicolored nodes plugin.
DOI: 10.17632/j8b9v4cb9d.1
title: A dataset for validation of artifical neural network models for SOFC

description: The data sets shown here include voltage and current values from polarization curves, which are gained from experimental tests performed on SOFCs as well as the data generated employing a multi-physic model for SOFCs. The same data set is used to validate the computed data from the publication "Artificial intelligence for time-efficient prediction and optimization of solid oxide fuel cell performances", volume 230, 113764, published in Energy Conversion and Management. If the researchers use these data to develop and validate new networks and models, please cite the following studies: (1) Artificial intelligence for time-efficient prediction and optimization of solid oxide fuel cell performances, Energy Conversion and Management (230), 2021, DOI: https://doi.org/10.​1016/​j.​enconman.​2020.​113764 (2) Performance assessment of industrial-sized solid oxide cells operated in a reversible mode: Detailed numerical and experimental study, International Journal of Hydrogen Energy 45 (53), 2020, DOI: https://doi.org/10.1016/j.ijhydene.2020.07.165. The data are available as .txt files, in which the operating current density, operating temperature, and voltage are presented. The temperature is varied between 750, 775, 800, and 825°C. The fuel used contains hydrogen, steam, and nitrogen. The volume fractions of the individual components are given in the document title.
DOI: 10.17632/tsnph5ttvx.1
title: Publications on the Access to Finance research

description: All 1175publications on the topic of the Access to Finance on Scopus for bibliometric analysis!
DOI: 10.17632/tjc4jx3srm.1
title: Supermarket Data

description: Data collected from supermarkets across the united states. Essential aspects are Quantitative Variables: Annual Income, No of units sold and Revenue.
DOI: 10.17632/zrjbtfhwh9.2
title: AirQo monitor Gen5RevB.2 

description: This repository contains AirQo monitor production files. Varying file type including STL, heic, dxl and pdf
DOI: 10.17632/79mg69dz98.3
title: Mapping Heat Vulnerability Index Considering Different Urbanization Levels In Nebraska, USA

description: This is datasets supporting an article with the same name submitted to journal Geohealth. It contains processed initial datasets of the research, that is calculating and mapping Heat Vulnerability Index (HVI) for state of Nebraska, USA, in Census Tract scale. We hypothesized that the construct of HVI is different for different urbanization levels of residence. We, therefore grouped the total 532 census tracts of Nebraska into four urbanization level groups and performed Factor Analyses for each of them. 
Description of data files:
The first three files contain all input datasets that are required to do all the analysis, and mapping. (GEOID is the unique identifier that can be used to connect different tables)

01_Tabulated_NE_Tract_NLCD_2016.csv : Contains number of 30mx30m squares of land cover types in each census tracts of Nebraska. GEOID is the key to connect these data to others.
02_all_tracts_with_RUCA : The ratios of vulnerable population in each census tract, calculated from ACS 2016 5-year estimate
03_NE_Census_Tracts_2016: Shapefile to create the maps
04_all_tracts_vulnerabilities: all 532 tracts of Nebraska are included with their ratios of vulnerable populations, also the ratio of  each four developed land areas to total land areas.

All other files are related to the outputs of the Factor Analyses for each of the urbanized levels considered in the study, and their related Figure number is the last part of each dataset's name.
DOI: 10.17632/kxt5sks9zs.1
title: mSLAb – an open-source masked stereolithography (mSLA) bioprinter

description: Abstract: 3D bioprinting is a tissue engineering approach using additive manufacturing to fabricate tissue equivalents for regenerative medicine or medical drug testing. For this purpose, biomaterials that provide the essential microenvironment to support the viability of cells integrated directly or seeded after printing are processed into three-dimensional (3D) structures. Compared to extrusion-based 3D printing, which is most commonly used in bioprinting, stereolithography (SLA) offers a higher printing resolution and faster processing speeds with a wide range of cell-friendly materials such as gelatin- or collagen-based hydrogels and SLA is, therefore, well suited to generate 3D tissue constructs. While there have been numerous publications of conversions and upgrades for extrusion-based printers, this is not the case for state-of-the-art SLA technology in bioprinting. The high cost of proprietary printers severely limits teaching and research in SLA bioprinting. With mSLAb, we present a low cost and open source high resolution 3D bioprinter based on masked SLA (mSLA). mSLAb is based on an entry level (€350) desktop mSLA printer (Phrozen Sonic Mini 4K), equipped with temperature control and humidification of the printing chamber to enable the processing of cell-friendly hydrogels. Additionally, the build platform was redesigned for easy sample handling and microscopic analysis of the printed constructs. All modifications were done with off-the-shelf hardware and in-house designed 3D printed components, printed with the same printer that was being modified. We validated the system by printing macroscopic porous scaffolds as well as hollow channels from gelatin-based hydrogels as representative structures needed in tissue engineering. ----------------------------------------------------- Files: Design file name File type Open source license • Base Plate CAD files CC-BY-SA 4.0 • Build Platform 30mm CAD files CC-BY-SA 4.0 • Cable Grommet CAD files CC-BY-SA 4.0 • Case Bottom CAD files CC BY-SA 3.0 • Case Stand CAD files CC BY-SA 4.0 • Case Top CAD files CC BY-SA 3.0 • Keypad Mold Bottom CAD files CC BY-SA 3.0 • Keypad Mold Top CAD files CC BY-SA 3.0 • Molding Stand CAD files CC-BY-SA 4.0 • Printable Petri Dish CAD files CC-BY-SA 4.0 • Sensor Seal Mold CAD files CC-BY-SA 4.0 • mSLAb Code Code CC-BY-SA 4.0 • Circuit Schematic Figures CC-BY-SA 4.0 • Molding Process Video CC-BY-SA 4.0 • Bioprinting Process Video CC-BY-SA 4.0 All CAD-type files consist of modifiable .step files, .stl files for slicing, and ready-to-print .ctb files. • Keypad Mold Top and Keypad Mold Bottom are unmodified parts of "Mmintbox 1 Enclosure" by Vector_Mayhem under CC BY-SA 3.0 • Case Top and Bottom are modified parts of "Mmintbox 1 Enclosure" by Vector_Mayhem under CC BY-SA 3.0. Modifications include holes for the LED, screw terminals, and magnets.
DOI: 10.17632/zxwc456xy9.5
title: Spatio-temporal Data on the air pollutant nitrogen dioxide derived from Sentinel satellite

description: Monitoring of air pollution is an important task in public health. Availability of data is often hindered by the paucity of the ground monitoring station network. We present here a new spatio-temporal dataset collected and processed from the Sentinel-5P remote sensing platform aiming at the monitoring of air pollution for public institutions. As an example application, we applied the full workflow to process measurements of Nitrogen dioxide (NO2) collected over the territory of mainland France from May 2018 to June 2019. The data stack generated is daily measurements at a 4×7km spatial resolution. The supplementary code package used to collect and process the data is made publicly available to ease the access and processing for any location and product. The dataset provided in this article is of value for policy-makers and health assessment. Please find the full dataset in a Dropbox shared repository using this link: https://drive.google.com/drive/folders/1t5vbQq1g0LtJa37Sc6NYoq45bkLP2EWp?usp=sharing The raw data file is zipped to save disk space. The original raw data have a size of 60 Gigabyte
DOI: 10.17632/ng4mk3xsx2.1
title: Woody stem composition and diameter at Natchez Trace State Forest

description: Natchez Trace State Park (NTSP) is in west-central Tennessee, part of the East Gulf Coastal Plain. The forest is composed of hardwoods and Pinus taeda. NTSP was impacted by a 1999 downburst; most of the damaged forest was salvaged by 2001. In 2001, 23 30x30m plots were established (15 salvaged, 8 unsalvaged) to characterize tree species and cm DBH for individuals ≥ 5 cm and sapling densities measured. Pre-disturbance composition was reconstructed from stumps in 2001. Tree sampling was repeated in 2020. Detailed information on sampling can be found in C.A. Oldfield and C.J. Peterson. 2021. Aboveground Biomass and Carbon Accumulation 19 Years Post-windthrow and Salvage Logging, published in Forests.
DOI: 10.17632/sjc7c6phmd.1
title: fMRI of vesitibular migraine

description: From September 2023 to September 2024, 25 right-handed patients with VM and 17 patients with M were recruited from the Dizziness and Vertigo Outpatient Centre of the First Hospital of Harbin Medical University. All study subjects met the diagnostic criteria for VM according to the Headache Classification Committee of the International Headache Society (International Classification of Headache Disorders 3rd edition, ICHD-3); VM patients with concomitant neurological, psychiatric, auditory vestibular, or systemic diseases were excluded. MRI scans were performed on days 3-7 after a VM episode, and all patients were asked to be free of migraine and vertigo attacks on the day of the examination. All study subjects underwent routine neurological and neuro-otological examinations to rule out peripheral vestibular dysfunction. Demographic data were collected by face-to-face interviews with patients through standardised questionnaires. Headache patients were evaluated for migraine attacks using the HIT-6 score. Vertigo patients were evaluated for episodes of vestibular symptoms using the Dizziness Handicap Inventory (DHI scale) [24].
Recruitment of 5 age, gender, and education matched Hc group from the community, requiring no history of migraine, vestibular neuritis, Meniere's disease, secondary somatic vertigo, substance abuse, neurological, psychiatric, or systemic disorders, ischemic or hemorrhagic stroke, or severe head trauma involving any headache and dizziness. Volunteers with structural abnormalities on T1, lesions on T2, and moderate to severe white matter lesions on T2-FLAIR were excluded. This study was approved by the Ethics Committee of the First Hospital of Harbin Medical University. All participants voluntarily signed a written informed consent before entering the study.
next:Image acquisition
next:Image preprocessing
next: Calculation
DOI: 10.17632/b6fftwbr2v.2
title: FruitNet: Indian Fruits Dataset with quality (Good, Bad & Mixed quality)

description: High quality images of fruits are required to solve fruit classification and recognition problem. To build the machine learning models, neat and clean dataset is the elementary requirement. With this objective we have created the dataset of six popular Indian fruits named as “FruitNet”. This dataset consists of 14700+ high-quality images of 6 different classes of fruits in the processed format. The images are divided into 3 sub-folders 1) Good quality fruits 2) Bad quality fruits and 3) Mixed quality fruits. Each sub-folder contains the 6 fruits images i.e. apple, banana, guava, lime, orange, and pomegranate. Mobile phone with a high-end resolution camera was used to capture the images. The images were taken at the different backgrounds and in different lighting conditions. The proposed dataset can be used for training, testing and validation of fruit classification or reorganization model.
DOI: 10.17632/jtz9gzjgbp.1
title: DefacementAttackDataset

description: The dataset titled "DefacementAttackDataset" contains 3,400 entries with 18 columns, documenting social media defacement attacks. The key fields in the dataset include:
- User ID, Username, Account Status: Information about the affected users.
- Followers Count: The number of followers of each user.
- Post ID, Content Before and After Defacement: The original and altered content of the defaced posts.
- Post Timestamp, Defacement Method, Type of Attack: Details on when the post was made, the method used to deface it, and the type of attack.
- IP Address, Location, Device Information: Information about the attacker's IP address, location, and device.
- Time of Defacement, Detection, Recovery: Timelines of the attack, detection, and recovery efforts.
- Action Taken, Restoration Status: The actions taken after the attack and the current status of the defaced content.
** Note that this dataset can be used to analyze patterns in social media defacement attacks, focusing on attack methods, recovery times, and the effectiveness of response actions.
DOI: 10.17632/bx88ymgbbv.1
title: Biomass pyrolysis dataset

description: Dataset covering the bio-oil yield obtained by lignocellulosic biomass pyrolysis considering several input variables such as: biomass composition, heating rate, pyrolysis temperature, particle size and nitrogen flow rate. The dataset covers 34 biomasses.
DOI: 10.17632/t93x45rhrv.1
title: DEM and Meangrain size at Dadae beach in South korea

description: This data includes DEM data and surface sediment analysis results of Dadae Beach in the South Sea of Korea.
DEM data were acquired in the dry season of 2015, 2019, and 2021.