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.
20,299
datasets available to search
ShareScore release 0.9.0
Dataset results
20,299 results for “Systematic”
Figure 4 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 4. Ventral view of Megophrys oropedion
Figure 2 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 2. Femoral glands of Megophrys major
Figure 1 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 1. Dorsal view of Megophrys major
Figure 3 in Systematic list of Genus Megophrys Kuhl and van Hasselt, 1822 (Amphibia: Anura: Megophryidae) in Meghalaya, North-East India with a discussion on the distribution of M. wuliangshanensis Ye and Fei, 1995 in India
Figure 3. Dorsal view of Megophrys oropedion
data_Systematic review and best practices for drone remote sensing of invasive plants
<p>We generated this dataset to compile a review article titled "Systematic Review and Best Practices for Drone Remote Sensing of Invasive Plants." </p>
Dataset: Computational resources in the development of e-health IoT applications: A systematic mapping study
<p>Files related to systematic mapping titled Computational resources in the development of e-health IoT applications: A systematic mapping study</p>
T1.1 Systematic literature review dataset
<p>This document presents the T1.1 Systematic Literature Review Dataset, which was collected for the VERITY project, on the topic of ‘trust in science’, based on a total of <strong>83 articles which provide empirical results</strong> from various scientific disciplines (e.g., social and educational psychology, medicine, science education, science communication).<br>The methodology for the completion of the Systematic Literature Review was based on the <strong>PRISMA protocol</strong>, which provides an evidence-based minimum set of criteria for reporting in systematic reviews and meta-analyses.<br>To identify the most appropriate studies for our research questions, the eligibility of the articles to be included in the systematic literature review was determined by the <strong>following two main criteria</strong>:</p> <ol> <li>Only studies directly examining the correlation and causal relationship of various factors to the levels of public trust in science were considered.</li> <li>The factors correlated and affecting the public’s trust in science had to be investigated empirically, without any restrictions on the methodology. </li> </ol> <p>Moreover, to ensure the credibility, integrity, and feasibility of the literature review, three criteria were added: The surveys are based on participants aged at least 16 years old (research based on young children was excluded). The study is written in English. The study appears in a peer-reviewed journal as an article.</p> <p>The review began with a comprehensive search for articles in three electronic databases: <strong>Scopus, Web of Science and PsycInfo</strong>. The selection of Scopus and Web of Science was based on their widely recognized impact indices containing high-calibre scholarly literature published worldwide and across a wide range of scientific fields. PsycInfo was selected as the premier abstracting and indexing database covering the behavioural, social, and psychological sciences. The selected search strategy was based on the two core concepts of our main research question, namely, ‘trust’ and ‘science’.</p> <p>After careful consideration, the following query string was established utilizing Boolean operators (AND, OR): (trust* OR distrust* OR mistrust* ) AND ( scien* ) in TITLE</p>
Estimation of Unfactorizable Systematic Uncertainties
<p>Dataset for the "Efficient Estimation of Unfactorizable Systematic Uncertainties" paper. </p> <p>The dataset consists of 30,000 simulated three-jet events. </p> <p>Keys and datasets:</p> <ul> <li>j1_threeM: Dataset of shape (30000, 3) containing the three-momenta of the hardest jets in the events.</li> <li>j2_threeM: Dataset of shape (30000, 3) containing the three-momenta of the second hardest jets in the events.</li> <li>j3_threeM: Dataset of shape (30000, 3) containing the three-momenta of the softest jets in the events.</li> </ul>
Automatic User Story Generation: A Comprehensive Systematic Literature Review - Data Extraction
<p>This document presents the data extraction performed for the Systematic Literature Review in Automatic User Story Generation.</p>
Dataset for paper: The Promise and Challenges of Using LLMs to Accelerate the Screening Process of Systematic Reviews
Open the record for dataset details and reuse information.
Can Machine Learning Replace a Reviewer in the Selection of Studies for Systematic Literature Review Updates?
<p>Appendix of the M.Sc. dissertation "Can Machine Learning Replace a Reviewer in the Selection of Studies for Systematic Literature Review Updates".</p> <p>This appendix contains the files with the results obtained by the evaluation performed in our study. </p> <p>File used to answer RQ1:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ1-RF-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RF-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ1-RQ3-best-configuration-RF.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RQ3-best-configuration-RF.csv</a></li> </ul> <p>File used to answer RQ2:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ2-SVM-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ2-SVM-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ2-best-configuration-SVM.csv/content">RQ2-best-configuration-SVM.csv</a></li> </ul> <p>File used to answer RQ3:</p> <ul> <li><a href="../api/records/11019279/draft/files/RQ3-RF-normalized-predictions.csv/content" target="_blank" rel="noopener noreferrer">RQ3-RF-normalized-predictions.csv</a></li> <li><a href="../api/records/11021614/draft/files/RQ1-RQ3-best-configuration-RF.csv/content" target="_blank" rel="noopener noreferrer">RQ1-RQ3-best-configuration-RF.csv</a></li> </ul>
Antibiotic Resistance in Hospital Wastewater in West Africa: A Systematic Review and Meta-Analysis
Open the record for dataset details and reuse information.
Urban Air Pollution and Child Neurodevelopmental Conditions: A Systematic Bibliometric Review
<p>The dataset for this research was compiled through an advanced PubMed search targeting publications from a one-year period, with keywords focused on air pollution, neurodevelopment, and associated disorders. From an initial pool of 450 publications, filtering based on the co-occurrence of relevant keywords reduced this to approximately 44 papers. The analysis was conducted using VOSviewer to generate a visual map of relationships between air pollution and child neurodevelopment. To ensure consistency, a thesaurus was applied to standardize terminology, refining the final network for a detailed examination of keyword clusters and their interactions. For those seeking to replicate this process, Appendix A provides an in-depth, step-by-step methodology for building the networks and utilizing the data files to recreate the visualizations.</p>
Artificial Intelligence and Educational Quality in Higher Education: A Systematic Review
<p><span><span lang="EN-US">This study examines the impact of artificial intelligence (AI) on educational quality in higher education. The objective was to evaluate how AI optimizes teaching-learning processes and to identify challenges and opportunities for its implementation. A systematic review was conducted using the PRISMA protocol, selecting 22 documents from databases such as Scopus, Web of Science, EBSCO, and ProQuest (2002–2024). Results indicate that AI enhances education through personalized learning, administrative automation, and automated assessment. However, challenges like technological infrastructure needs, data privacy concerns, and resistance to change remain. AI’s transformative potential depends on strategic implementation that considers ethical and social factors.</span></span></p>
The effect of wheelchair users on the egress time of pedestrian crowds: a systematic literature review and meta-analysis
<p>This dataset provides supplementary input data for a systematic literature review and meta-analysis, examining the effects of mobility-impaired individuals, specifically wheelchair users, on pedestrian egress times. It includes the following variables:</p> <ul> <li><strong>short_trial_name</strong>: A unique identifier for each trial.</li> <li><strong>independent variables</strong>: Factors such as the number of attendees, bottleneck width, and mobility profiles (e.g., individuals with or without wheelchair usage).</li> <li><strong>left_shifted_time</strong>: Standardized start time for egress, adjusted for comparability across trials.</li> <li><strong>lower_left_no_of_people</strong>: The number of individuals who passed through the bottleneck at the standardized start time.</li> <li><strong>right_shifted_time</strong>: Standardized end time for egress.</li> <li><strong>right_left_no_of_people</strong>: The number of individuals who passed through the bottleneck by the standardized end time.</li> </ul>
COVID-19 evidence syntheses with artificial intelligence: an empirical study of systematic reviews
<p><strong>Objectives</strong>: A rapidly developing scenario like a pandemic requires the prompt production of high-quality systematic reviews, which can be automated using artificial intelligence (AI) techniques. We evaluated the application of AI tools in COVID-19 evidence syntheses.</p> <p><strong>Study design</strong>: After prospective registration of the review protocol, we automated the download of all open-access COVID-19 systematic reviews in the COVID-19 Living Overview of Evidence database, indexed them for AI-related keywords, and located those that used AI tools. We compared their journals' JCR Impact Factor, citations per month, screening workloads, completion times (from pre-registration to preprint or submission to a journal) and AMSTAR-2 methodology assessments (maximum score 13 points) with a set of publication date matched control reviews without AI.</p> <p><strong>Results</strong>: Of the 3999 COVID-19 reviews, 28 (0.7%, 95% CI 0.47-1.03%) made use of AI. On average, compared to controls (n=64), AI reviews were published in journals with higher Impact Factors (median 8.9 vs 3.5, P<0.001), and screened more abstracts per author (302.2 vs 140.3, P=0.009) and per included study (189.0 vs 365.8, P<0.001) while inspecting less full texts per author (5.3 vs 14.0, P=0.005). No differences were found in citation counts (0.5 vs 0.6, P=0.600), inspected full texts per included study (3.8 vs 3.4, P=0.481), completion times (74.0 vs 123.0, P=0.205) or AMSTAR-2 (7.5 vs 6.3, P=0.119).</p> <p><strong>Conclusion</strong>: AI was an underutilized tool in COVID-19 systematic reviews. Its usage, compared to reviews without AI, was associated with more efficient screening of literature and higher publication impact. There is scope for the application of AI in automating systematic reviews.</p>
Data Set "Systematic QM Region Construction in QM/MM Calculations Based on Uncertainty Quantification"
<p>Data set accompanying the publication "Systematic QM Region Construction in QM/MM Calculations Based on Uncertainty Quantification"</p> <p>This dataset contains:</p> <p>- PDB files of the reactant and product starting structure</p> <p>- modified AMBER95 force field file</p> <p>- AMS fragment files for the ligands and ions</p> <p>- AMS input files for all geometry optimizations and single point calculations</p>
Figure 7 in Revision of the systematics of Babakina Roller, 1973 (Mollusca: Opisthobranchia) with the description of a new species and a phylogenetic analysis
Figure 7. Bremer support values for clades included in strict consensus tree.
Fig. 1 in Systematic Position of Trichadenotecnum enderleini (Roesler) (Psocodea: "Psocoptera": Psocidae)
Fig. 1. Forewing of Ptycta enderleini, male.
FIGURE 17 in Collohmannia Johnstoni N. Sp. (Acari, Oribatida) From West Virginia (U.S.A.), Including Description Of Ontogeny, Setal Variation, Notes On Biology And Systematics Of Collohmanniidae
FIGURE 17: Collohmannia johnstoni n. sp. immatures, light micrographs, DIC (A, B, E) and incident (C, D) illumination: A – protonymph, separated prodorsal shield, ventral view; B – larva, anterior part of prodorsum, lateral view; C-E – tritonymph: C – ventral view, D – lateral view, E – anterior part of separated prodorsum, lateral optical section. Abbreviations: AD – adanal segment, AG – aggenital region, AN – anal segment (paraproctal valves), c.fr – cheliceral frame (line bt of Grandjean 1966), GE – genital valves, gla – orifice of opisthonotal gland, pK – prodorsal condyle, nl – lateral rib (nervure), po – porose area, pa.a – postanal apodeme, pr.a – preanal apodeme, rb – rostral bulge, sa – sagittal apodeme; bo, in, le, ro, xa – prodorsal setae or their alveoli; e, h – gastronotic setae. Each image layered and color- and sharpness-enhanced (see Material and Methods).
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.