cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cqbhn2
title: Occurrence Download

description: A dataset containing 6839 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Glaucium corniculatum (L.) Rudolph)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 6839 records from 245 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012943-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hbw2h3mh7z
title: SLE_IL17

description: SPSS file of 36 SLE patients and 40 healthy individuals
DOI: 10.17632/266vrryspz
title: We-VoltamoStat: A wearable potentiostat for voltammetry analysis with a smartphone interface

description: Abstract: Wearable technology, such as electronic components integrated into clothing or worn as accessories, is becoming increasingly prevalent in fields like healthcare and biomedical monitoring. These devices allow for continuous monitoring of important biomarkers for medical diagnosis, monitoring of physiological health, and evaluation. However, an open-source wearable potentiostat is a relatively new technology that still faces several design limitations such as short battery lifetime, bulky size, heavy weight, and the requirement for a wire for data transmission, which affects comfortability during long periods of measurement. In this work, an open-source wearable potentiostat device named  We-VoltamoStat is developed to allow interested parties to use and modify the device for creating new products, research, and teaching purposes. The proposed device includes improved and added features, such as wireless real-time signal monitoring and data collection. It also has an ultra-low power consumption battery estimated to deliver 15 mA during operating mode for 33 hours and 20 minutes and 5 mA during standby mode for 100 hours without recharging. Its convenience for wearable applications, tough design, and compact size of 67x54x38 mm make it suitable for wearable applications. Cost-effectiveness is another advantage, with a price less than 120 USD. Validation performance tests indicate that the device has good accuracy, with an R^2 value of 0.99 for linear regression of test accuracy on milli-, micro-, and nano-Ampere detection. In the future, it is recommended to improve the design and add more features to the device, including new applications for wearable potentiostats.
DOI: 10.17632/ztyk4h3v6s
title: Composed Encrypted Malicious Traffic Dataset for machine learning based encrypted malicious traffic analysis.

description: This is a traffic dataset which contains balance size of encrypted malicious and legitimate traffic for encrypted malicious traffic detection. The dataset is a secondary csv feature data which is composed of five public traffic datasets. 
Our dataset is composed based on three criteria: The first criterion is to combine widely considered public datasets which contain both encrypted malicious and legitimate traffic in existing works, such as the Malwares Capture Facility Project dataset and the CICIDS-2017 dataset. The second criterion is to ensure the data balance, i.e., balance of malicious and legitimate network traffic and similar size of network traffic contributed by each individual dataset. Thus, approximate proportions of malicious and legitimate traffic from each selected public dataset are extracted by using random sampling. We also ensured that there will be no traffic size from one selected public dataset that is much larger than other selected public datasets. The third criterion is that our dataset includes both conventional devices' and IoT devices' encrypted malicious and legitimate traffic, as these devices are increasingly being deployed and are working in the same environments such as offices, homes, and other smart city settings.

Based on the criteria, 5 public datasets are selected. After data pre-processing, details of each selected public dataset and the final composed dataset are shown in “Dataset Statistic Analysis Document”. The document summarized the malicious and legitimate traffic size we selected from each selected public dataset, proportions of selected traffic size from each selected public dataset with respect to the total traffic size of the composed dataset (% w.r.t the composed dataset), proportions of selected encrypted traffic size from each selected public dataset (% of selected public dataset), and total traffic size of the composed dataset. From the table, we are able to observe that each public dataset equally contributes to approximately 20% of the composed dataset, except for CICDS-2012 (due to its limited number of encrypted malicious traffic). This achieves a balance across individual datasets and reduces bias towards traffic belonging to any dataset during learning. We can also observe that the size of malicious and legitimate traffic are almost the same, thus achieving class balance.
The datasets now made available were prepared aiming at encrypted malicious traffic detection.
Since the dataset is used for machine learning model training, a sample of train and test sets are also provided. The train and test datasets are separated based on 1:4 and stratification is applied during data split. Such datasets can be used directly for machine or deep learning model training based on selected features.
DOI: 10.17632/bj5jgk878b
title: Vashantor: A Large-scale Multilingual Benchmark Dataset for Automated Translation of Bangla Regional Dialects to Bangla Language

description: The Vashantor dataset consists of 32,500 sentences from different regions, including Chittagong, Noakhali, Sylhet, Barishal, and Mymensingh. It is categorized into two language formats: "Bangla" and "Banglish." Each region and language combination has specified quantities for training, testing, and validation samples. The dataset details are as follows:

Specifics of the Core Data:
—-------------------------------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)
English: Train 1875, Test 375, Validation 250 (Total 2500)


Specifics of the Regional Data:
—--------------------------------------
Chittagong:
—------------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)

Noakhali:
—---------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)

Sylhet:
—------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)

Barishal:
—---------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)

Mymensingh:
—---------------
Bangla: Train 1875, Test 375, Validation 250 (Total 2500)
Banglish: Train 1875, Test 375, Validation 250 (Total 2500)
DOI: 10.6084/m9.figshare.23593203.v1
title: Data for the article "Histological and molecular glioblastoma, IDH-wildtype: A real-world landscape using the 2021 WHO classification of central nervous system tumors" published in Frontiers in Oncology

description: This spreadsheet presents the data for the article "Histological and molecular glioblastoma, IDH-wildtype: A real-world landscape using the 2021 WHO classification of central nervous system tumors" published in Frontiers in Oncology.
DOI: 10.6084/m9.figshare.24320806.v5
title: Universal Cell Embedding Model Files

description: Learning universal representations (embeddings) of single cell RNA-sequencing data is critical for drawing scientific conclusions from diverse omics datasets. Here we propose a foundation model that produces universal cell embeddings (UCE), which capture true biological variation despite experimental noise. This repository contains files needed to run the UCE model.
DOI: 10.17632/wdng2cjhmy
title: A2IR: Audio-to-Image Representation

description: A2IR is a dataset for synthetic audio detection using deep learning. It includes five audio-to-image representations for natural and synthetic audio: spectrograms, histograms, scatter plots, bispectrum phase plots and bispectrum magnitude plots. Each category is divided into 3 subsets: training 56.72% (11,400 images), validation 33.83% (6,800 images), and test 9.47% (1,900 images). In each subset, the images are separated into two folders, natural and synthetic, with a balanced classification (i.e. each class has the same number of images as the other or very similar).
DOI: 10.6084/m9.figshare.23301608.v1
title: CNVVE Dataset clean audio samples

description: The CNVVE Dataset clean audio samples encompassing six distinct classes of voice expressions.
DOI: 10.17632/x2pd23dv4n
title: DFT data on the elastic energy of graphene under uniaxial stretching

description: Calculations of the total energy of a deformed graphene layer were performed using the VASP code. The results can be used to compute the Poisson's ratio and effective Young's modulus of graphene under uniaxial stretching for elongations up to 3%. The data include: (1) energy dependences on strain in the direction perpendicular to the elongation applied in the armchair or zigzag direction, (2) energy dependences on the elongation applied in the armchair and zigzag directions with account of the Poisson's ratio estimated from (1), and (1) input and output files for (2). At step (2) it is assumed that the Poisson's ratio does not change in the intervals of elongations of 0.05% length. The Poisson's ratio at elongations close to 0 is taken the same as at 0.5%.
DOI: 10.17632/crb5tkbvpb
title: ROI extraction of chlorophyll Fluorescence wheat canopy images using  novel Curve Fit Based K- means segmentation Algorithm for automatic drought stress detection using machine learning 

description: The data consist of a file system-based data of Raj 3765  variety of wheat. There are twenty-four chlorophyll fluorescence images every day for each  (Control and Drought) have been captured for a period of sixty days. A total of (1440 x 2) images are in used  for this research work.

Created dataset is subjected to a novel segmentation algorithms called "Cfit k-means " to extract appropriate ROI.
Experimentation include analysis of seven segementation algorithms as follows:
1. Global Static Thresholding
2. Global K-means Thesholding
3. Otsu Thresholding
4. K-means 
5. Meanshift
6. Watershed
7. Cfit K-means Segmenetation

Results of the segmentation Process shared below for both control and drought experiments.
DOI: 10.6084/m9.figshare.5128198.v1
title: Supplementary Material for: Prenatal Diagnosis of DNA Copy Number Variations by Genomic Single-Nucleotide Polymorphism Array in Fetuses with Congenital Heart Defects

description: <b><i>Objectives:</i></b> To evaluate the usefulness of single-nucleotide polymorphism (SNP) array for prenatal genetic diagnosis of congenital heart defect (CHD), we used this approach to detect clinically significant copy number variants (CNVs) in fetuses with CHDs. <b><i>Methods:</i></b> A HumanCytoSNP-12 array was used to detect genomic samples obtained from 39 fetuses that exhibited cardiovascular abnormalities on ultrasound and had a normal karyotype. The relationship between CNVs and CHDs was identified by using genotype-phenotype comparisons and searching of chromosomal databases. All clinically significant CNVs were confirmed by real-time PCR. <b><i>Results:</i></b> CNVs were detected in 38/39 (97.4%) fetuses: variants of unknown significance were detected in 2/39 (5.1%), and clinically significant CNVs were identified in 7/39 (17.9%). In 3 of the 7 fetuses with clinically significant CNVs, 3 rare and previously undescribed CNVs were detected, and these CNVs encompassed the CHD candidate genes <i>FLNA</i> (Xq28 dup), <i>BCOR</i> (Xp11.4 dup), and <i>RBL2</i> (16q12.2 del). <b><i>Conclusion:</i></b> Compared with conventional cytogenetic genomics, SNP array analysis provides significantly improved detection of submicroscopic genomic aberrations in pregnancies with CHDs. Based on these results, we propose that genomic SNP array is an effective method which could be used in the prenatal diagnostic test to assist genetic counseling for pregnancies with CHDs.
DOI: 10.6084/m9.figshare.13140404.v1
title: USA state names and abbreviations

description: A list of USA states and two-letter abbreviations for coding.
DOI: 10.6084/m9.figshare.29067788.v1
title: Genome‑wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits

description: GWAS summary statistics of "Genome-wide variance quantitative trait locus analysis suggests small interaction effects in blood pressure traits".
DOI: 10.6084/m9.figshare.10006637.v1
title: Plant_Chacklist_Caatinga

description: Appedices of the paper "An updated and taxonomically verified plant checklist of the Brazilian Caatinga seasonally dry forests and woodlands reveals high species richness and endemism"
DOI: 10.6084/m9.figshare.22310099.v1
title: The paleolandscape evolution of the southwestern coast of Sardinia (Italy) and its impact on Mesolithic settlements

description: We present a geomorphological map of the southwestern coast of Sardinia encompassing inland and offshore areas of the S’Omu e S’Orku Mesolithic site. The submerged area was documented by high-resolution multibeam bathymetry combined with Side-Scan Sonar data. The emerged coastal area was surveyed using Uncrewed Aerial Vehicle Remote Sensing and field surveys. The inland landforms were shaped by coastal, fluvial, and gravity-induced processes. Most of the submerged landforms appear be modeled in subaerial conditions during sea-level lowstands, and then sealed by the rising sea level. The coastal evolution has been characterized by the rapid cliff retreat facilitated intense linear erosion of watercourses, by debris flows, rockfalls and toppling. Geomorphological evidences of cliff retreat due to landslide was supported by a simplified analytic hydraulic model of the wave-cliff interaction. These processes and the sea level rise canceled any possible Mesolithic settlement along the coast. The survival of the S’Omu e S’Orku site is only due to a protected morphological position and to the distance from the Early Holocene coastline. The dearth of coastal Early Holocene prehistoric sites is likely the outcome of the presented coastal dynamics.
DOI: 10.17632/cdd37zdrty
title: Properties of Titanium Zirconium Molybdenum Alloy after Exposure to Indium at Elevated Temperatures

description: Raw and processed data: Properties of Titanium Zirconium Molybdenum Alloy after Exposure to Indium at Elevated Temperatures
DOI: 10.17632/f77whvccpk
title: Data for: Identifying and Disentangling the Impact of Fiscal Decentralization on Economic Growth

description: The dataset and the do-file is associated with Identifying and Disentangling the Impact of Fiscal Decentralization on Economic Growth paper submitted to World Development ((WD-13388).
DOI: 10.6084/m9.figshare.29146052.v1
title: The Impact of Absorptive Capacity on Business Model Innovation with Mediation Role of Strategic Flexibility

description: In a highly leading industry in the world, such as the automotive industry, innovation in the business model is one of the concerns of which Iran Khodro Company is no exception. The purpose of this study is to investigate the effect of absorption capacity on business model innovation with the mediating role of strategic flexibility. The statistical population of the present study is 95 managers of Iran Khodro Company in operational, intermediate and advanced levels that the whole statistical population was selected as a statistical sample by census method. The research method is descriptive-analytical, the method of data collection is field, and the data collection tool is standard questionnaires. The validity of the questionnaire was confirmed through face and content validity, factor analysis, convergent and divergent validity, and its reliability was confirmed through Cronbach's alpha. Structural equation modelling tests using Smart-PLS were used to test the research hypotheses. The results of data analysis showed that the absorption capacity has a significant effect on business model innovation in Iran Khodro Company. Absorption capacity has a significant effect on strategic flexibility in Iran Khodro Company. Strategic flexibility has a significant effect on business model innovation in Iran Khodro Company. Strategic flexibility mediates between the absorption capacity and innovation of the business model in Iran Khodro Company.<br>
DOI: 10.6084/m9.figshare.5853483.v2
title: The geography of references in elite articles - underlying data

description: The Excel file contains the underlying data for the paper "The geography of references in elite articles: What countries contribute to the archives of knowledge"<br>
DOI: 10.17632/bpf29cj2ny
title: Pore clogging growth behaviors in column scale experiment

description: This dataset consists of X-ray images that capture the growth process of pore clogging and data analyzed to visualize it. Suspended fine particles(powdered activated carbon; Yakuri co., Kyoto, Japan) with water are flown through a water-saturated sand pack(Ottawa 20/30 sand; U.S. Silica, Frederick, MD, U.S.A.). Clogging growth behaviors in uniformly packed beds are monitored with X-ray CT. A series of column experiments are conducted with X-ray computed tomography (X-ray CT) imaging while varying the flow velocity. The experiment consisted of 6 groups, 3 of which were named LS group, and three were named HS group. Throughout clogging growth, the patterns of clogging are visualized with X-ray CT image analysis. Each longitudinal and horizontal clogging growth behavior is presented as the spatial distribution of mass in the column.
-This includes the X-ray CT images for Test1, and links to the datasets of the remaining Test2 to Test6 images.
DOI: 10.17632/pytpn3v8pw
title: Mediation Analysis of the Relationship between health-related knowledge and attitudes and health risk behaviors among Portuguese university students

description: This cross-sectional study has examined, by resorting to a self-reporting questionnaire, the relationship between health-related knowledge and attitudes and health risk behaviors among of 840 Portuguese university, using a stratified sampling depending on the academic year and the scientific area of study. The analysis of structural equations was used to analyze the relationship between all variables that constitute the study. Results arising from this research have shown that university students do indeed engage in behaviors that constitute a risk for their health, revealing poor knowledge about health and moderately favorable attitudes towards the adoption of engagement in risk behaviors. The mediation analysis indicated that the degree or quality of knowledge about health and the attitudes regarding health were statistically significant predictive factors for identifying risk behaviors. Furthermore, it has been demonstrated and revealed that the attitudes towards health have a mediating effect between knowledge about health and the risk behaviors for one’s health. Findings from this study indicate that public health and education policies should promote healthy behaviors among university students. The interventions may take advantage of and expand upon the positive health behaviors and consider individual differences.
DOI: 10.6084/m9.figshare.11300369.v1
title: MOESM3 of Transcriptional profiling of long noncoding RNAs associated with leaf-color mutation in Ginkgo biloba L

description: Additional file 3: Data S1. Full-length sequences of lncRNAs.
DOI: 10.15468/dl.vx77be
title: Occurrence Download

description: A dataset containing 2020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Ononis minutissima L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2020 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012944-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gx9smdm6m4
title: Hydrolysis and preparation of anhydrous magnesium nitrate

description: XRD, Raman, DSC, Hydrolysis product content
DOI: 10.17632/w59pnm88xx
title: Fermentation characteristics and post-acidification of yogurt by Streptococcus thermophilus CICC 6038 and Lactobacillus delbrueckii subsp. bulgaricus CICC 6047 at optimal inoculum ratio

description: This study aimed to investigate the symbiosis between Streptococcus thermophilus CICC 6038 and Lactobacillus delbrueckii subsp. bulgaricus CICC 6047. In addition, the effect of their different inoculum ratios was determined, and comparison experiments of fermentation characteristics and storage stability of milk fermented by their mono-cultures and co-cultures at optimal inoculum ratio were performed. We found the time to obtain pH 4.6 (tpH4.6) and ∆pH during storage varied among six inoculum ratios (1:1, 2:1, 10:1, 19:1, 50:1, 100:1). By the statistical model to evaluate the optimal ratio, the ratio of 19:1 was selected which exhibited high acidification rate and low post-acidification with pH values remaining 4.2 – 4.4 after a 50-day storage.
DOI: 10.6084/m9.figshare.27368574.v3
title: Dataset for wetland plant elemental homeostasis

description: The dataset shows the raw data for our paper ' Plant elemental homeostasis enhances species performance and community functioning in wetlands: looking beyond nitrogen and phosphorus', and contains a series of stoichiometric traits at the species and community levels, and community biomass of wetalnd plants.<b>**data：Dataset for wetland plant elemental homeostasis**</b>Sheet 1, named "Metadata" contains a detailed description of the abbreviations that appear in the dataset.Sheet 2, named "species-level stoichiometry", we have a 1059*35 matrix, represents the data at the species-level in the analysis of this study;Sheet 3, named "community-level stoichiometry", we have a 225*34 matrix, represents the data at the community-level in the analysis of this study;Sheet 4, named "element_homeostasis_variation ", represents the concentration, coefficient of variation and homeostasis coefficient of 16 elements at the species and community levels;Sheet 5, named "species_H_performance", includes regional abundance, dominance, biomass, stability, elemental concentration and elemental homeostasis coefficient of 12 common species;Sheet 6, named "community biomass-homeostasis", includes community biomass, community-weighted mean (CWM) elemental concentration, elemental homeostasis coefficient and environmental factors at plant community level.