cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kpygrf9fg6.2
title: A Raman database of microplastics weathered under natural environments

description: Raman spectroscopy can effectively analyze submicron- to microsized microplastics, but Raman spectra of weathered microplastics vary and are often affected by fluorescence. A Raman database of weathered microplastics (RDWP) is necessary for accurately identifying microplastics in various environments. We used Raman spectra of weathered microplastics from sediments around waste plastics processing and recycling industries in Laizhou City, Shandong Province, to build the RDWP. This dataset contains 20 Raman spectra of standard samples and 155 Raman spectra of weathered microplastics. 135 Raman spectra of weathered microplastics can be identified. Among these 135 Raman Spectra, we selected 124 spectra with distinct peaks to build the Raman database of weathered microplastics (RDWP). The KnowItAll Informatics System 2018 (Bio-Rad Laboratories) was used to analyze the Raman spectra. The software can perform spectral searches, spectral identification, functional group analysis, etc., and has spectral data management, allowing users to build spectral databases by themselves. First, the spectra of the standards are built as a Raman Database of Standard Microplastics (RDSP) separately in KnowItAll. Then, the RDSP is used as one of the searched databases, and the spectra of weathered microplastics are matched and identified. Finally, the spectra of weathered microplastics are built as the Raman database of weathered microplastics (RDWP).
DOI: 10.17632/dj67wj2syj.1
title: Data for: Can People Accurately Estimate the Calories in Food Images? An Optimised Set of Low- and High-Calorie Images from the Food-pics Database

description: Average calorie estimations, average weight estimations, recognisability, liking, and healthiness ratings of 178 high and 182 low calorie foods from the Food-pics database (Blechert et. al, 2014). Rated by eight hundred and forty psychology undergraduate students studying in Australia (aged 16-60, 64% female).
DOI: 10.17632/79j788ychw.2
title: Performance of Islamic and SRI mutual funds: Evidence from Asia-Pacific and European Markets

description: Islamic.dat: Stata Data file of Islamic mutual funds. ISR.dat: Stata Data file of SRI mutual funds. Table3.do: Stata do file for table 3 estimations. Table4.do: Stata do file for table 4 estimations. Table5.do: Stata do file for table 5 estimations. Table6_part1.do and Table6_part2: Stata do files for table 6 estimations.
DOI: 10.17632/vs8m5gkyfn.1
title: Brugge_Breast_Atlas_CyTOF_Primary_Processed

description: A Breast Atlas Integrating Single-Cell Proteomics and Transcriptomics, Developmental Cell, 2022

Processed and final primary breast CyTOF data (relating to Figures 1/S1 and 3/S3)
DOI: 10.17632/89849t3ngk.1
title: GPU-accelerated red blood cells simulations with transport dissipative particle dynamics

description: Mesoscopic numerical simulations provide a unique approach for the quantification of the chemical influences on red blood cell functionalities. The transport Dissipative Particles Dynamics (tDPD) method can lead to such effective multiscale simulations due to its ability to simultaneously capture mesoscopic advection, diffusion, and reaction. In this paper, we present a GPU-accelerated red blood cell simulation package based on a tDPD adaptation of our red blood cell model, which can correctly recover the cell membrane viscosity, elasticity, bending stiffness, and cross-membrane chemical transport. The package essentially processes all computational workloads in parallel by GPU, and it incorporates multi-stream scheduling and non-blocking MPI communications to improve inter-node scalability. Our code is validated for accuracy and compared against the CPU counterpart for speed. Strong scaling and weak scaling are also presented to characterizes scalability. We observe a speedup of 10.1 on one GPU over all 16 cores within a single node, and a weak scaling efficiency of 91% across 256 nodes. The program enables quick-turnaround and high-throughput numerical simulations for investigating chemical-driven red blood cell phenomena and disorders.
DOI: 10.17632/mmf4hnsm2n.1
title: Common Swahili Stop-words

description: Common Swahili stop-words dataset consist a list of words which does not add much meaning to a sentence, hence can be ignored without sacrificing the meaning of the sentences.
DOI: 10.17632/2fxz4px6d8.1
title: Augmented COVID-19 X-ray Images Dataset

description: This Dataset Contains augmented X-ray Images for COVID-19 for COVID-19 Disease Detection Using Chest X-Ray images. The dataset is collected from two online available datasets (https://github.com/ieee8023/covid-chestxray-dataset and https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia).
DOI: 10.17632/7w7trpg6v4.1
title: IMPACT OF CLIMATE CHANGE ON HEAT STROKE — AN INTERSTATE PANEL STUDY IN INDIA

description: Climate change has multi-dimensional effect among which effect on human health is most concerned. Farmers and workers of agricultural field are highly exposed to the vulnerability of climate change. In India 60 to 70% population is engaged directly or indirectly in agriculture, who is contributing 16 – 17% of the GDP. People engage in agriculture have to spend more than 6 to 7 hours in the field at day time, thus very much exposed to the sunlight. Sun stroke or heat stroke is one of the inevitable consequences of global warming. Present study tries to analyse the vulnerability of climate change on the basis of suffering from heat stroke by the people of different states of India. There is wide disparity among the states of India regarding heat stroke mortality but all are suffering from the harsh consequences of global warming. The study is to find out the effect of climate change on different states of India with respect to heat stroke mortality and to observe the effect of different heat indicators on human health. A 22 years interstate panel study compares this climate vulnerability in India in terms of death due to heat stroke. Descriptive study highlights state wise health hazard contemplating climate change. Index of death and heat intensity has been discussed by radars. Heat Intensity, Heat Intensity Square, Average Rainfall, Gross Sown Area Index etc. has significant effect on death. Few states like AP, UP, Odisha are very much exposed to the vulnerability. There is interstate heterogeneity in heat stroke mortality and other explanatory variables.
DOI: 10.17632/b754bk82r3.1
title: Self-Leadership and Associated Factors in Nursing Students

description: This dataset includes the raw data which its article published on Nurse Educator, titled "Self-Leadership and Associated Factors in Nursing Students: An Explanatory Sequential Mixed-Methods Study" (DOI:10.1097/NNE.0000000000001762). The research questions and findings can be found in the published article. As intended, the raw dataset is made public after its publication as an article.

The dataset comprises raw data derived from an extensive nationwide online survey distributed through two nursing student NGOs. The survey was conducted between June 2020 and Arpil 2022, involving 943 nursing students in Türkiye. Its objective was to assess self-leadership perceptions and the influencing factors among nursing students. The original dataset was in Turkish. To enhance accessibility, it was translated into English along with corresponding codifications. 

The survey covered the following key dimensions:

• Assessment of nursing students' self-leadership perceptions, with the utilization of Houghton and Neck's Revised Self-Leadership Questionnaire (RSLQ). 
• Compilation of descriptive attributes characterizing the nursing students, encompassing variables such as age, gender, place of residence, income level, grade, overall grade point average (GPA), and employment status.
• Diverse facets including previous participation in leadership or management training courses, affiliation with student clubs or non-governmental organizations (NGOs), assumption of managerial roles, involvement in scientific endeavors, and delineation of career aspirations.

In our research, an examination of the normal distribution was undertaken utilizing the Kolmogorov-Smirnov test, based on the available dataset. The quantitative data analysis encompassed the utilization of various statistical parameters such as percentages, frequencies, means, medians, standard deviations, and minimum-maximum values. These parameters were applied to ascertain the descriptive attributes of the student cohort as well as the scale scores. Additionally, a comparative assessment of scale scores across distinct groups was carried out through the application of the Mann Whitney U test. To assess potential associations, the Spearman correlation coefficient was employed to investigate the interplay between age, the quantity of scientific activities undertaken, and the resultant scale scores. The predetermined threshold for statistical significance was set at p &lt; 0.05.
DOI: 10.17632/9xkgn447vz.1
title: In vivo CRISPR Screens Identify E3 Ligase Cop1 as a Modulator of Macrophage Infiltration and Cancer Immunotherapy Target

description: Summary: Despite remarkable clinical efficacies of immune checkpoint blockade (ICB) in cancer treatment, ICB benefits in triple-negative breast cancer (TNBC) remain limited. Through pooled in vivo CRISPR knockout (KO) screens in syngeneic TNBC mouse models, we found that inhibition of the E3 ubiquitin ligase Cop1 in cancer cells decreases the secretion of macrophage-associated chemokines, reduces tumor macrophage infiltration, enhances tumor immunity and ICB response. Transcriptomics, epigenomics, and proteomics analyses revealed Cop1 functions through proteasomal degradation of the C/ebpδ protein. Cop1 substrate Trib2 functions as a scaffold linking Cop1 and C/ebpδ, which leads to polyubiquitination of C/ebpδ. Cop1 inhibition stabilizes C/ebpδ to suppress the expression of macrophage chemoattractant genes. Our integrated approach implicates Cop1 as a target for improving cancer immunotherapy efficacy by regulating chemokine secretion and macrophage infiltration in the TNBC tumor microenvironment.
DOI: 10.17632/sjc8s9nv9m.1
title: wind data

description: Data available for:-
PS              MERRA-2 Surface Pressure (kPa) 						
WS10M           MERRA-2 Wind Speed at 10 Meters (m/s) 						
WS10M_MAX       MERRA-2 Wind Speed at 10 Meters Maximum (m/s) 						
WS10M_MIN       MERRA-2 Wind Speed at 10 Meters Minimum (m/s) 						
WS10M_RANGE     MERRA-2 Wind Speed at 10 Meters Range (m/s) 						
WD10M           MERRA-2 Wind Direction at 10 Meters (Degrees) 						
WS50M           MERRA-2 Wind Speed at 50 Meters (m/s) 						
WS50M_MAX       MERRA-2 Wind Speed at 50 Meters Maximum (m/s) 						
WS50M_MIN       MERRA-2 Wind Speed at 50 Meters Minimum (m/s) 						
WS50M_RANGE     MERRA-2 Wind Speed at 50 Meters Range (m/s) 						
WD50M           MERRA-2 Wind Direction at 50 Meters (Degrees) 						
QV2M            MERRA-2 Specific Humidity at 2 Meters (g/kg) 						
RH2M            MERRA-2 Relative Humidity at 2 Meters (%) 						
PRECTOTCORR     MERRA-2 Precipitation Corrected (mm/day)
DOI: 10.17632/vr37ss8xm6.1
title: Gathered and generated database for crack detection on concrete and brick walls

description: Database was used for Master's thesis work "Identification of Asset Integrity Issues using Image Based Data Analysis and Deep Learning Methods" by Andrius Ambrutis and supervised by Mayur Pal.
Data contains pipeline model for cracks imitations, two classes of images (cracks and not cracks) as well as code and Matlbab .mat file with trained network on 40% of entire data.

Part of data in this dataset was generated using data gathered from:
1. ÖZGENEL, Ç.F. and GÖNENÇ SORGUÇ, A. Performance Comparison of Pretrained Convolutional Neural Networks on Crack Detection in Buildings. Surface Crack Detection. ISARC 2018, Berlin. Online. 2018. [viewed 2023-04-30]. Available from: <https://www.kaggle.com/datasets/arunrk7/surface-crack-detection>.
2. Pexels. Brick Wall Cracks Photos, Download The BEST Free Brick Wall Cracks Stock Photos & HD Images. Online. [viewed 2023-04-30]. Available from: <https://www.pexels.com/search/brick%20wall%20cracks/>.

In case of citation these sources should be mentioned as well (1 and 2) also usesage of these images should note violate lisences of earlier memtioned sources.

In addition to dataset, we include 3d pipeline model created in Blender which can be used to generate data for almost any environment.
DOI: 10.17632/pfpwcvzc9k.1
title: Dataset AI Influencer on Impulsive Buying

description: This dataset contains respondents' answers regarding A.I. Influencer Characteristics, Impulsive Buying, Perceived Value, and Positive Emotional Appeal.
DOI: 10.17632/xddh3cgswh.1
title: FWCI and RCR comparison dataset

description: This is the dataset belonging to the article "Comparison of two article-level, field-independent citation metrics: Field-Weighted Citation Impact (FWCI) and Relative Citation Ratio (RCR)"
DOI: 10.17632/x8v796pjsx.2
title: KU-HMG: A Dataset of a Hybrid Micro-Grid Coupled with Photovoltaic-panel, Wind-turbine and Natural Gas Generator

description: Authors’ have designed and simulated a hybrid AC-DC micro-grid for a geographical area of Bangladesh, Payra (22.1493° N, 90.1352° E) aiming to the economical electricity supply. The design was held using a popular simulation software, “Homer Pro”. In the micro-grid, solar photovoltaic panel, wind turbine, and Natural gas generator were used as sources and 100 household’s AC load, and 30 Electric vehicle’s DC load as consumers. Solar Global Horizontal Irradiance, wind speed, hourly annual load demand were the corresponding input parameters. In order to utilize the generated power, the load demand has been simulated differently by increasing and decreasing it to some extent, such as 10%, 5% and 2.5% more and less respectively. Finally, there arise 7 datasets including the original and the 6 varied load scenarios. The dataset has total 8761 instance of data where, each set has 14 data samples. Data file contents: Data 1:: Payra_Original_load.csv: Contains raw output data corresponds to the original load demand of Payra, collected from the micro-grid simulation. This file has 8762 set of data where, each set having 14 data samples from the simulation output. Data arrangement is described below: Column 1: Date and time of data recording in the format of DD-MM-YY [hh]:[mm]. Time is in 24-hour format. Column 2: Output power data of the flat plate photovoltaic panel in the "kW" unit. Column 3: Output power data of the Northern Power NPS 60-24 wind turbine in the "kW" unit. Column 4: Output power data of the Autosize Genset Natural gas generator in the "kW" unit. Column 5: Output power data of the Autosize Genset Natural gas generator Fuel consumption in the "m-3" unit. Power values have a maximum of seven decimal places. Column 6: Data for the total electrical load served in the "kW" unit. Column 7: Data for percentage penetration of renewable energy sources. Column 8: Output power data of the Excess Electricity Production in the "kW" unit. Column 9: Output power data of the total renewable energy sources in the "kW" unit. Column 10: Output power data of the Inverter used in the model in the "kW" unit. Column 11: Output power data of the Rectifier, used in the model in the "kW" unit. Column 12: Output power data of the CELLCUBEÂ® FB 20-130 Battery charge in the "kW" unit. Column 13: Output power data of the CELLCUBEÂ® FB 20-130 Battery discharge in the "kW" unit. Column 14: Data for percentage state of charge of the CELLCUBEÂ® FB 20-130 Battery. Data 2:: Payra_10%more_load.csv, Data 3:: Payra_10%less_load.csv, Data 4:: Payra_5%more_load.csv, Data 5:: Payra_5%less_load.csv, Data 6:: Payra_2.5%more_load.csv, and Data 7:: Payra_2.5%less_load.csv :: Contains raw output data that corresponds to the (10% more, 10% less, 5% more, 5%less, 2.5% more, 2.5% less load demand respectively) of Payra, collected from the micro-grid simulation, having the same shape and data arrangement as before.
DOI: 10.17632/g2z3562tv4.1
title: VMOMS — A computer code for finding moment solutions to the Grad-Shafranov equation

description: Abstract Title of program: VMOMS Catalogue number: ABSH Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland (See application form in this issue) Computer: PDP-10/KL10; Installation: ORNL Fusion Energy Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA Operating system: TOPS 10 Programming language used: FORTRAN High speed storage required: 9000 words No. of bits in a word: 36 Overlay structure: none Peripherals used: line printer, disk drive No. of ca... Title of program: VMOMS Catalogue Id: ABSH_v1_0 Nature of problem This code finds approximate solutions to the Grad-Shafranov equation describing scalar pressure-balance equilibria for axisymmetric tokamak plasmas. ... CORRECTION SUMMARY: Vol:Year:Page 30:1983:107 "000A CORRECTION 09/05/83" "VMOMS: a computer code for finding moment solutions to the Grad- Shafranov equation. (C.P.C. 27(1982)129)." L.L. Lao; R.M. Wieland; W.A. Houlberg; S.P. Hirshman Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABSH_v1_0; VMOMS; 10.1016/0010-4655(82)90069-8 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/mkjprydvst.1
title: Polymorphisms of SCN1A -A3184G among Egyptian children with epilepsy

description: A prospective observational study was carried out in Mansoura University including 489 children to screen for  SCN1A -A3184G polymorphism among epileptic patients and to detect possible associations with predictors to antiepileptic drug therapies using real time PCR.
DOI: 10.17632/n3gtgm9jxj.1
title: Waste Classification Dataset

description: The dataset provide a collection of 25,077 images of solid household waste categorised into two classes: organic (13,966) and recyclable (11,111) . 
The data presented is a restructured and represented version of the original dataset by Sashaank Sekar available at https://www.kaggle.com/techsash/waste-classification-data
The restructured data has been used in a research study undertaken by academics and researchers at Computer Science Department, Edge Hill University, United Kingdom..
DOI: 10.17632/pmkbyjpf6k.1
title: BRACOT - A Brazilian Arabica Coffee Tree images dataset for instance segmentation of coffee leaves

description: The dataset constructed contains images of part of Arabica coffee trees affected by biotic stresses. The images were obtained using a smartphone Galaxy S8. The images were collected in September 2019 and March 2020 in the mountain regions of Santa Maria, Marechal Floriano, state of Espirito Santo, Brazil. The photos were taken in a coffee plantation. A total of 300 images of part of Arabica coffee trees were collected, including healthy leaves and diseased leaves, affected by one or more types of biotic stresses: leaf miner, rust, brown leaf spot, and cercospora leaf spot.
DOI: 10.17632/z8zh5rpthg.1
title: Small peptides in SMILES and three-dimensional formats for virtual screening campaigns

description: The data are structures of dipeptides, tripeptides and tetrapeptides constructed from all possible combinations of 20 natural and common amino acids. The data are related to a data article in Data in Brief.
DOI: 10.15468/dl.kkqkye
title: Occurrence Download

description: A dataset containing 365 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus pinea L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 365 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009234-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3mn9843tz2.4
title: Aruzz22.5K: An Image Dataset of Rice Varieties

description: This extensive dataset presents a meticulously curated collection of low-resolution images showcasing 20 well-established rice varieties native to diverse regions of Bangladesh. The rice samples were carefully gathered from both rural areas and local marketplaces, ensuring a comprehensive and varied representation. Serving as a visual compendium, the dataset provides a thorough exploration of the distinct characteristics of these rice varieties, facilitating precise classification.
#Dataset Composition#
The dataset encompasses 20 distinct classes, encompassing Subol Lota, Bashmoti (Deshi), Ganjiya, Shampakatari, Sugandhi Katarivog, BR-28, BR-29, Paijam, Bashful, Lal Aush, BR-Jirashail, Gutisharna, Birui, Najirshail, Pahari Birui, Polao (Katari), Polao (Chinigura), Amon, Shorna-5, and Lal Binni. In total, the dataset comprises 4,730 original JPG images and 23,650 augmented images.
#Image Capture and Dataset Organization#
These images were captured using an iPhone 11 camera with a 5x zoom feature. Each image capturing these rice varieties was diligently taken between October 18 and November 29, 2023. To facilitate efficient data management and organization, the dataset is structured into two variants: Original images and Augmented images. Each variant is systematically categorized into 20 distinct sub-directories, each corresponding to a specific rice variety.
#Original Image Dataset#
The primary image set comprises 4,730 JPG images, uniformly sized at 853 × 853 pixels. Due to the initial low resolution, the file size was notably 268 MB. Employing compression through a zip program significantly optimized the dataset, resulting in a final size of 254 MB.
#Augmented Image Dataset#
To address the substantial image volume requirements of deep learning models for machine vision, data augmentation techniques were implemented. Total 23,650 images was obtained from augmentation. These augmented images, also in JPG format and uniformly sized at 512 × 512 pixels, initially amounted to 781 MB. However, post-compression, the dataset was further streamlined to 699 MB.
#Dataset Storage and Access#
The raw and augmented datasets are stored in two distinct zip files, namely 'Original.zip' and 'Augmented.zip'. Both zip files contain 20 sub-folders representing a unique rice variety, namely 1_Subol_Lota, 2_Bashmoti, 3_Ganjiya, 4_Shampakatari, 5_Katarivog, 6_BR28, 7_BR29, 8_Paijam, 9_Bashful, 10_Lal_Aush, 11_Jirashail, 12_Gutisharna, 13_Red_Cargo,14_Najirshail, 15_Katari_Polao, 16_Lal_Biroi, 17_Chinigura_Polao, 18_Amon, 19_Shorna5, 20_Lal_Binni.
# Train and Test Data Organization
To ease the experimenting process for the researchers we have balanced the data and split it in an 80:20 train-test ratio. The ‘Train_n_Test.zip’ folder contains two sub-directories: ‘1_TEST’ which contains 1125 images per class and ‘2_VALID’ which contains 225 images per class.