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.
31
datasets available to search
ShareScore release 0.9.0
Dataset results
31 results for “artworks”
The influence of art expertise and training on emotion and preference ratings for representational and abstract artworks.
<p>Across cultures and throughout recorded history, humans have produced visual art. This raises the question of why people report such an emotional response to artworks and find some works more beautiful or compelling than others. In the current study we investigated the interplay between art expertise, and emotional and preference judgments. Sixty participants (40 novices, 20 art experts) rated a set of 150 abstract artworks and portraits during two occasions: in a laboratory setting and in a museum. Before commencing their second session, half of the art novices received a brief training on stylistic and art historical aspects of abstract art and portraiture. Results showed that art experts rated the artworks higher than novices on aesthetic facets (beauty and wanting), but no group differences were observed on affective evaluations (valence and arousal). The training session made a small effect on ratings of preference compared to the non-trained group of novices. Overall, these findings are consistent with the idea that affective components of art appreciation are less driven by expertise and largely consistent across observers, while more cognitive aspects of aesthetic viewing depend on viewer characteristics such as art expertise.</p>
Technical Details of the artworks of the Museo del Prado
<ul> <li>9,680 rows</li> <li>9 attributes (columns). <ul> <li><strong> ID:</strong> catalog number that the Museum gives to each work. This number is unique and unrepeatable, to be able to easily identify each work.</li> <li><strong>Title:</strong> the title of the work.</li> <li><strong>Date:</strong> year of creation of the work. Due to the antiquity of the works, some of them hold as closes “XII Century” or “Before 1489” (for example), it is very difficult to define a concrete year.</li> <li><strong>Author:</strong> author of the work.</li> <li><strong>Technique: </strong>type of painting or technique applied in the making of the artwork (fresh painting, oil, temple, salt paper, albumen…)</li> <li><strong>Height(cm):</strong> height of the frame in centimeters (cm).</li> <li><strong>Width(cm):</strong> width of the frame in centimeters (cm).</li> <li><strong>Support:</strong> the pictorial support is the base of the work, the surface on which the color is applied in a painting.</li> </ul> </li> </ul>
Text-fig. 2. The distinction between fossil plants (a) and plant fossils (b). a: Reconstruction of a late Carboniferous arborescent lycopsid, often referred to as the Lepidodendron-tree; artwork by A. Townsend (formerly of National Museum Wales, Cardiff, UK; see Townsend et al. 1998); b: Lepidodendron aculeatum STERNB.; Middle Coal Measures Formation (Duckmantian – upper Bashkirian), Brymbo, near Wrexham, UK (see Thomas et al. 2020: fig. 16b); National Museum Wales specimen 2013.43G.88. in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 2. The distinction between fossil plants (a) and plant fossils (b). a: Reconstruction of a late Carboniferous arborescent lycopsid, often referred to as the Lepidodendron-tree; artwork by A. Townsend (formerly of National Museum Wales, Cardiff, UK; see Townsend et al. 1998); b: Lepidodendron aculeatum STERNB.; Middle Coal Measures Formation (Duckmantian – upper Bashkirian), Brymbo, near Wrexham, UK (see Thomas et al. 2020: fig. 16b); National Museum Wales specimen 2013.43G.88.
Fig.. 3. Simocyon batalleri, MNCN B−3458, Batallones−1, Madrid Province, Spain, cranium in left lateral view. A. Photograph. B. Schematic drawing showing the main anatomical features of this view (artwork by M. Antón). in Ailurid carnivoran mammal Simocyon from the late Miocene of Spain and the systematics of the genus
Fig.. 3. Simocyon batalleri, MNCN B−3458, Batallones−1, Madrid Province, Spain, cranium in left lateral view. A. Photograph. B. Schematic drawing showing the main anatomical features of this view (artwork by M. Antón).
Coral Artwork
I created this model of a piece of art in the harbor of Konstanz, Germany during the summer of 2016 under an internship with vaireco, GmbH. The model was created with 80 pictures taken with a Sony Nex-5N and processed with Pix4D Mapper Pro. Simplification of the model was accomplished with MeshLab. For more information, please email Dr. Ken Varner at ken.varner@vaireco.de Source: Objaverse 1.0 / Sketchfab
Text-fig. 4. Reconstruction of Quinquala obovata fruits; artwork by K. K. Pham. in Winged Fruits Of Rutaceous Affinity From The Eocene Of Western North America
Text-fig. 4. Reconstruction of Quinquala obovata fruits; artwork by K. K. Pham.
Ron English's artwork in Rome
Ron English's artwork in Rome 41.86614106955448, 12.546458664287144 Source: Objaverse 1.0 / Sketchfab
Dataset for the article 'Beyond Human Perception: Challenges in AI Interpretability of Orangutan Artwork'
Open the record for dataset details and reuse information.
Fig. 5 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 5 How to create a brush. a The pattern is saved as Art brush. b The options Stretch to Fit Stroke Length and the brush Direction are set in the Art Brush Options window
Fig. 2 The Brushes panel. a 3 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 2 The Brushes panel. a 3 pt. Round brush. b Create New Brush. c Selected object options. d The suggested size for a single stipple is 0.25 pt
Fig. 4 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 4 Steps for creating semi-automated stippling (not to scale). a Two stipples are the basis for a simple repetitive pattern, Stippling basic. b When the stippling brush is applied without using the proper type of dashed line, a stretched stippling brush appears. c After application of the corresponding action, the stretched brush is turned into a symmetric, repetitive pattern. d The end of the stroke may be distorted. This can be adjusted by extending or shortening the vector at the terminal anchor point
Fig. 8 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 8 Every type of stippling brush needs a corresponding Action. a Actions are saved to a New Set, which can be called Stippling. b For every New action that is recorded, a unique name and Function Key should be assigned. c To stop recording, press the Stop button. d To save or load an Action, open the Actions Options. e Then press Save Actions or f Load Action
Fig. 1 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 1 Overview over the AUTOMATION workspace in Adobe Illustrator. a The workspace selection panel is located near the top right corner of the window. b The Brushes menu. c The Actions panel. d The Layers menu. e The Stroke panel
Fig. 3 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 3 Example of how to build up shading through manual stippling. a Start with one row of equally-spaced dots. b, c Add second and third rows alternating to the previous row. d–g For a desaturation effect, add more rows but with increased distance between them. For a stronger desaturation, double the spacing between the dots in another (set of) row(s)—alternating with every second dot in the previous row. This pattern can be deliberately expanded
Fig. 7 in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 7 How to save and load a brush library. A click on the upper right corner of the Brushes panel opens a dropdown menu. a Save Brush Library opens an explorer window to select the proper location for storing the library. b Custom-made libraries can be loaded by clicking on Other Library
Fig. 9 The Stroke panel. a Checking this box change a line into a dashed line. b in Adding depth to line artwork by digital stippling-a step-by-step guide to the method
Fig. 9 The Stroke panel. a Checking this box change a line into a dashed line. b For stippling brushes, it is recommended to check Preserves exact dash and gap lengths. c The dash and gap distance is manually adjustable and proper values depend on the underlying stippling pattern
Artwork Joyride by Dan Rawlings
Ein Kunstwerk ausgestellt in dem Weltkulturerbe Völklinger Hütte von Dan Rawlings. Er rückt industriellen und zivilisatorischen Relikten zu Leibe, um sie in einem arbeitsaufwendigen, komplizierten Prozess in filigrane Laubsägearbeiten zu verwandeln. A work of art exhibited at the Völklingen Ironworks World Heritage Site by Dan Rawlings. He gets to grips with industrial and civilization relics to transform them into filigree fretwork in a labor-intensive, complicated process. Source: Objaverse 1.0 / Sketchfab
The Value of Integrating Visual Arts: Evaluating the Benefits of Hospital Room Artwork on Inpatient Wellbeing
ClinicalTrials.gov study NCT02357160. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Assessing the Influence of Personal Traits, Experiences, and Attitudes on the Perception and Evaluation of AI-generated Artworks
<p>data AI-image paper</p>
RYSE Air Quality Artworks
<p>RYSE Air Quality Artworks</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.