Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
7,274
datasets available to search
ShareScore release 0.7.1
Dataset results
7,274 results for “Comparative studies”
FIGURE 6 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 6. Box-plots of Von Mises stress distributions when Quasi-Ideal Meshes (QUIM) are assumed for the 20 Cingulata mandibles analysed. The 80% of the values of the Von Mises stress distribution are represented between the upper and lower whiskers
FIGURE 3 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 3. Evolution of the values of Arithmetic Mean (AM), Mesh-Weighted Arithmetic Mean (MWAM), Median (M), Mesh-Weighted Median (MWM), Percentage Error of the Arithmetic Mean (PEofAM) and Percentage Error of the Median (PEofM) in front of the size of the elements (1) and the uniformity of the mesh (2). Meshes from a Chlamyphorus truncates. S07 refers to Mesh S7 (mesh size), SE refers to Mesh SE (mesh homogeneity).
FIGURE S2 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE S2. Map of Von Mises stress distribution in the six meshes of Chlamyphorus truncates obtained when evaluating the influence of the homogeneity of the mesh.
FIGURE 2 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 2. Six meshes of Chlamyphorus truncates obtained when evaluating the influence of the homogeneity of the mesh.
FIGURE 1 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 1. Twelve meshes of Chlamyphorus truncates obtained when evaluating the influence of size of the elements in the mesh.
FIGURE 5 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 5. Evolution of the box-plots of the Von Mises stress distribution. X-axes refers to meshes S01 to S12: the size of the elements (1); and meshes SA to SF: the uniformity of the mesh (2). Meshes from a Chlamyphorus truncates.
FIGURE 4 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE 4. Evolution of the convergence error of each iteration of Arithmetic Mean (AM), Mesh-Weighted Arithmetic Mean (MWAM), Median (M), Mesh-Weighted Median (MWM) in front of the number of nodes (1) and the percentage of Refined Area (percent value of area with homogeneous mesh) (2). Meshes from a Chlamyphorus truncates. S07 refers to Mesh S7 (mesh size), SE refers to Mesh SE (mesh homogeneity).
FIGURE S1 in Accounting for differences in element size and homogeneity when comparing Finite Element Models: Armadillos as a case study
FIGURE S1. Map of Von Mises stress distribution in the 12 meshes of Chlamyphorus truncates obtained when evaluating the influence of size of the elements in the mesh.
Figure 11 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 11. The efficacy of RM of orange peels against human pathogenic bacteria. ****Extremely significant among compared groups at p <0.05 level. Test 1: RM of Valen-cia orange; Test 2: RM of Mandarin orange; Test 3: RM of African navel orange.
Figure 6 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 6. The structure of bioactive compounds of RM of African Navel orange peel (1) Limonene; (2) Hexadecanoic acid, 2-hydroxy-1- (hydroxymethyl) ethyl; (3) 9,12-Octadecadienoic acid (Z,Z)-, methyl ester; (4) Terephthalic acid, di(2-ethylhexyl) ester; (5) α-Sitosterol; (6) α-D-Glucopyranose, 4-O-α-D-galactopyranosyl-; (7) 2-Methoxy-4-vinylphenol; (8) Eugenol; (9) cis-Vaccenic acid; (10) De-canal; (11) Vitamin E; (12) Dichloroxylenol.
Figure 3 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 3. GC-MS chromatogram of the RMs of orange peels. (A) RM of Valencia orange; (B) RM of Mandarin orange; (C) RM of African Navel orange.
Figure 2 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 2. The morphology of orange fruits. (A) Valenica orange; (B) Madarin orange; (C) African Navel orange.
Figure 5 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 5. The structure of bioactive compounds of RM of Mandarin orange peel (1) Lim-onene; (2) Octadecanoic acid, 2-hydroxy-1- (hydroxymethyl) ethyl; (3) Hexadecanoic acid, 2-hydroxy-1-(hydroxymethyl) ethyl; (4) Tetradecanamide; (5) n-Hexadecanoic acid; (6) α-D-Mannofuranoside, 1-O-(10-undecenyl)-; (7) 3-Deoxy-d-mannoic lactone; (8) Desulpho-sinigrin; (9) 2-Methoxy-4-vinylphenol; (10) Decanal; (11) Vitamin E; (12) 1-Monolinoleoylglycerol trimethylsilyl ether.
Figure 4 in Spectral characterization and biological evaluation of biomolecules from the peels of three orange fruits: a comparative study
Figure 4. The structure of bioactive compounds of RM of Valencia orange peel (1) Limonene; (2) 9-Octadecenamide, (Z)-; (3) Hexadecanoic acid, 2- hy-droxy-1-(hydroxymethyl)ethyl; (4) Octadecanoic acid, 2-hydroxy-1-(hydroxymethyl)ethyl; (5) Tetradecanamide; (6) Hexadecanamide; (7) Ethyl iso-allocholate; (8) Ethyl α-d-glucopyranoside; (9) d-Glycero-d-galacto-heptose; (10) α-Sitosterol; (11) Vitamin E; (12) 4H-1-Benzopyran-4-one, 2-(3,4-dimethoxyphenyl)-5,6,7-trimethoxy-.
Figure 1 in Molecular classification and comparative phylogeographic study of insectivorous bat species (Pipisitrellus coromandra) from Punjab, Pakistan
Figure 1. Mutation analysis of representative sequence of specimen collected from (Kahna/District Lahore KA-III) with first top BLAST search result of species Pipistrellus coromandra from India (Accession No: MG821188).
Figure 3 in Molecular classification and comparative phylogeographic study of insectivorous bat species (Pipisitrellus coromandra) from Punjab, Pakistan
Figure 3. Neighbour-joining tree of genetic similarity based on COI gene. Data consisted of sequences from this study (n=20) and sequence data of closely related and similar species from other countries (n=59). Numbers at nodes are bootstrap support percentages of 70 or greater. The evolutionary distances were computed using the Kimura 2-parameter method (Kimura, 1980) in MEGA7.
Figure 2 in Molecular classification and comparative phylogeographic study of insectivorous bat species (Pipisitrellus coromandra) from Punjab, Pakistan
Figure 2. Mutation analysis of representative sequence of specimen collected from (Kahna/District Lahore KA-III) with top second BLAST search result of species Pipistrellus tenuis from Vietnam (Accession No: HM541298).
A comparative study of the effectivity of MSC-based, NP-based and combined therapies in an experimental model of NaIO3-induced retinal degeneration
<div><strong>Background</strong></div> <div>Mesenchymal stem cells (MSCs) are currently tested as one of the promising options for the therapy of retinal diseases, due to their immunomodulatory and neuroprotective abilities. However, there are several limitations associated with this type of treatment. Therefore, combinations of MSCs with other therapeutic agents are being considered. One of such approaches is represented by the application of MSCs with nanoparticles (NPs), which are widely used in medicine for their antimicrobial and immunomodulatory properties. Nevertheless, there is a possibility of negative effects of NPs on MSCs.</div> <div><strong>Methods</strong></div> <div>In this study, we tested the <em>in vitro</em> and <em>in vivo</em> effect of silver (Ag) NPs on the properties of MSCs in an experimental mouse model of chronic retinal degeneration induced by sodium iodate.</div> <div><strong>Results</strong></div> <div>The results showed that simultaneous intravitreal administration of MSCs with AgNPs had no effect on the survival of MSCs in the eye, but a less effective regulation of Iba-1 (activated microglia/macrophages) and interleukin-1β expression in the retinal tissue compared to MSCs or AgNP only treated groups was observed. However, all treated groups had decreased expression of the gene for galectin-3 compared to the untreated control. In addition, MSCs applied alone or in combination with AgNPs and sorted from the degenerated retina on day 7 after application had increased expression of genes for specific retinal markers, and for transforming growth factor-β and insulin-like growth factor-1 compared to untreated naïve MSCs. On the contrary, the increased expression of the gene for glial cell-derived growth factor was observed only in the MSCs combined with AgNPs. However, the application of MSCs with AgNPs triggered increased expression for the IL-6 gene in the CD45 cells separated from the retina.</div> <div><strong>Conclusion</strong></div> <div>Overall, the results show that the application of MSCs or AgNPs has an immunomodulatory effect in chronic retinal degeneration, but the combined application of MSCs and AgNPs could decrease the effects of a single therapy.</div>
Assessing digital infrastructure in internet use: A comparative study of South East Asia and the Balkan Region
<p>Data used for assessing digital infrastructure in internet use - comparison of South East Asia and Balkan Region. Data on mobile cellular, fixed broadband, GDP, Key global ICT indicators . Data collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381)</p>
SENTIMENT ANALYSIS OF CUSTOMER FEEDBACK IN THE BANKING SECTOR: A COMPARATIVE STUDY OF MACHINE LEARNING MODELS
<p><span>This study investigates the application of sentiment analysis to customer feedback in the banking sector, utilizing natural language processing (NLP) techniques and machine learning models to classify customer sentiments into positive, neutral, and negative categories. Feedback was sourced from online platforms, including bank websites, social media, and third-party review sites. Data preprocessing steps, such as tokenization, stemming, and feature extraction using TF-IDF, were employed to prepare the text for analysis. Various machine learning algorithms, including Logistic Regression, Random Forest, Support Vector Machine (SVM), Long Short-Term Memory (LSTM), and Naïve Bayes, were implemented and evaluated using metrics such as accuracy, precision, recall, and F1-score. The results show that LSTM outperformed all models with a 91% accuracy, followed closely by SVM at 89%. These findings demonstrate the potential of advanced machine learning techniques in accurately classifying sentiments and provide valuable insights into customer satisfaction and areas for improvement within the banking sector. Future work aims to further optimize models for better classification of neutral feedback and explore more advanced deep learning models, such as BERT.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.