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.
986
datasets available to search
ShareScore release 0.9.0
Dataset results
986 results for “Classicism”
Map 7 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 7. Distribution of Pseudosaldula huamachuco.
Map 6 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 6. Distribution of Pseudosaldula chilensis.
Fig. 31 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Fig. 31. Area cladogram for implied weights tree for Pseudosaldula.
Fig. 27 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Fig. 27. Cladogram of relationships of Pseudosaldula spp. based on the use of implied weighting.
Map 15 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 15. Combined distributions of Pseudosaldula spp. and putative areas of endemism.
Fig. 4 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Fig. 4. Habitus of Pseudosaldula andensis, female.
Map 3 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 3. Distribution of Pseudosaldula aurea.
Map 4 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 4. Distribution of Pseudosaldula bergi.
Fig. 1 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Fig. 1. Parandria of 14 Pseudosaldula spp. and two Saldula spp.
Map 2 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 2. Distribution of Pseudosaldula antioquia.
Map 1 in Revision And Analysis Of Pseudosaldula Cobben (Insecta: Hemiptera: Saldidae): A Group With A Classic Andean Distribution
Map 1. Distribution of Pseudosaldula andensis.
Fig. 5 in First Records from Japan of European Vermi-composter Dendrobaena veneta (Rosa, 1886) and of "Classical" Lumbricus terrestris Linnaeus, 1758 (Annelida, Oligochaeta, Megadrilacea, Lumbricidae)
Fig. 5. Setal ratios provide simple differentiation.
Fig. 5 in Revision of the genus Thinophilus Wahlberg (Diptera: Dolichopodidae) from Singapore and adjacent regions: A long term study with a prudent reconciliation of a genetic to a classic morphological approach
Fig. 5. Thinophilus apicatus sp. nov. Phenology during a 2-year survey (MIP).
Fig. 2 in Revision of the genus Thinophilus Wahlberg (Diptera: Dolichopodidae) from Singapore and adjacent regions: A long term study with a prudent reconciliation of a genetic to a classic morphological approach
Fig. 2. Thinophilus apicatus sp. nov., male habitus.
Data and scripts for "Optical line shapes of color centers in solids from classical autocorrelation functions"
<p>This record contains data and code that accompany the paper "Optical line shapes of color centers in solids from classical autocorrelation functions". Specifically it includea databases in ase sqlite format (*<code>.db</code>) with reference data from density functional theory calculations. These data were used in the construction of the machine-learned potential model using the neuroevolution potential (NEP) methodology. The model (<code>nep.txt</code>) is included in a format suitable for the GPUMD package (https://gpumd.org).</p> <p>Note that the atom type information in the databases already includes the labeling of the defect environment that is expected by the NEP model, according to the following rules</p> <ul> <li>Si(gs) → P</li> <li>C(gs) → N</li> <li>Si(ex) → S</li> <li>C(ex) → O</li> </ul> <p>The "bulk" species (Si, C) remain unchanged.</p>
ML-Optimized QKD Frequency Assignment for Efficient Quantum-Classical Coexistence in Multi-Band EONs
<p>Abstract: Quantum key distribution (QKD) represents a cutting-edge technology that ensures unbreakable security. Coexisting quantum and classical signals on a multi-band (O+E+S+C+L-band) system offer a viable solution for secure, high-rate networks amidst growing classical traffic and address quantum signal sensitivity. In this study, we assume a dynamic classical traffic load and varying configurations of classical channels (CChs). Considering the varying behavior of Secure Key Rate (SKR) under different classical conditions, solving the integral noise equations are crucial for optimizing QKD implementation and enhancing resource efficiency. The complexity and time-consuming nature of this process challenge infrastructure providers in determining the optimal quantum channel (QCh) frequency in real time. To tackle these challenges, we propose a machine learning (ML) algorithm. By leveraging ML, QKD can be implemented efficiently, optimizing resource utilization while significantly reducing computation and processing time in dynamic classical traffic. We implement three ML algorithms at various fiber intervals, all of which estimate the optimal frequency for QCh with 99\% accuracy and perform computations on average in 0.09 seconds, which is significantly faster compared to integral computational methods that have a mean time of 637 seconds.<br><br>Information: In this file, the Excel sheet contains data for each fiber interval, including inputs such as fiber length in each interval, the overall classical loading factor percentage, the C-band loading factor percentage, the L-band loading factor percentage, the highest active classical frequency (which serves as input to the machine learning model), and the QCh frequency that resulted in the highest SKR.</p>
Ontology of Legal Bodies in Classical Athens v.1.0
<p><strong>Ontology of legal bodies in Classical Athens </strong></p> <p>This is version 1.0 of a dataset created in the context of a PhD thesis in "Semantic Annotation and Attic Oratory" that defines the primary legal bodies in Classical Athenian courts c. 419 BC to 323 BC. A legal body is defined as "an individual or group who either proceeds over or judges a legal proceeding". This work draws upon the corpus of Attic oratory and the Pseudo-Aristotelian <em>Athenian constitution</em>, as well as <em>The Law of Ancient Athens</em> by David D. Phillips.</p> <p>This dataset is authored by Rachel Milio (TALOS Ph.D. candidate, Department of Philology, University of Crete), under the supervision of Dr. Maria Papadopoulou (Department of Philology, University of Crete) and Prof. Christophe Roche (TALOS ERA Chair Professor, University of Crete).</p> <p>Acknowledgement: We gratefully acknowledge the generous funding of the European Commission under the ERA Chair Project TALOS AI for SSH (Grant agreement ID: 101087269).</p> <p>Contact: Rachel.Milio@outlook.com</p>
Fig. 6 in Fractal analysis of ostracod shell variability: A comparison with geometric and classic morphometrics
Fig. 6. Location of landmarks chose on Krithe valve for shape analysis.
Classic Snake Game
<p>The player's score in <a href="https://snake-game.io">Snake Game</a> is typically based on the number of food pellets the snake has eaten. The longer the snake grows, the higher the score.</p>
Scenario-tree model to estimate the sensitivity of a surveillance system for classical scrapie
<p>The supplementary files to the EFSA's scientific report on the "Evaluation of the application of Slovenia to be recognised as having a negligible risk of classical scrapie" include:</p> <p>R code of the scenario-tree model to estimate the sensitivity of the surveillance system of sheep and goats for scrapie in Slovenia.</p> <p>Read-me file with information and instructions on how to rum the model </p> <p>Input data from Slovenia. Surveillance data to be analysed usgin the model.</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.