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.
1,607
datasets available to search
ShareScore release 0.9.0
Dataset results
1,607 results for “art”
Schranz, C. (2023). Commons in Design – Recordings of the Conference. Academy of Art & Design Basel, Switzerland.
<p>The conference was organized as part of a 4-year SNSF research project “Commons in Design” carried out at the Institute of Contemporary Design Practices (ICDP), FHNW Academy of Art and Design, Basel, Switzerland.</p> <p>(SNF-Project: 179178)</p>
Abb. 7-8 in Eine neue Cryptophagus-Art aus dem Jemen und Saudi-Arabien nebst Anmerkungen zur Nomenklatur (Coleoptera, Cryptophagidae)
Abb. 7-8: Halsschild von Cryptophagus sp.: (7) C. brucki REITTER, 1875; (8) C. hauseri REITTER, 1890. Abb. 9-10: Halsschild von Cryptophagus sp.: (9) C. turcicus GILLERFORS & OTERO, 1993; (10) C. jemeniticus nov.sp. Abb. 11-12: Halsschild von Cryptophagus sp.: (11) C. fallax BALFOUR- BROWNE, 1953; (12) C. quercinus KRAATZ, 1852.
Abb. 4-6 in Eine neue Cryptophagus-Art aus dem Jemen und Saudi-Arabien nebst Anmerkungen zur Nomenklatur (Coleoptera, Cryptophagidae)
Abb. 4-6: (4) C. hauseri REITTER, 1890; (5) Cryptophagus fallax BALFOUR-BROWNE, 1953; (6) C. quercinus KRAATZ, 1852.
Abb. 13-14 in Eine neue Cryptophagus-Art aus dem Jemen und Saudi-Arabien nebst Anmerkungen zur Nomenklatur (Coleoptera, Cryptophagidae)
Abb. 13-14: Parameren von Cryptophagus sp.: (13) C. jemeniticus nov.sp.; (14) C. turcicus GILLERFORS & OTERO, 1993.
Abb. 1-3 in Eine neue Cryptophagus-Art aus dem Jemen und Saudi-Arabien nebst Anmerkungen zur Nomenklatur (Coleoptera, Cryptophagidae)
Abb. 1-3: (1) C. jemeniticus nov.sp. Holotypus; (2) Cryptophagus turcicus GILLERFORS & OTERO, 1993; (3) Cryptophagus brucki REITTER, 1875.
Requirements Quality Theory: State-of-the-Art
<p>This repository contains the replication package for evaluating state-of-the-art requirements quality research. Grounded in a harmonized theory of activity-based requirements quality, we assessed 57 primary studies from the research domain of requirements quality to determine which theory elements are neglected.</p>
Image dataset for GenerativeGI: Creating Generative Art with Genetic Improvement
<p>Full dataset of our results for our submission, "GenerativeGI: Creating Generative Art with Genetic Improvement," to the Special Issue on Genetic Improvement at the Automated Software Engineering journal. This zip archive contains the images and corresponding population data (including the genome that created each image) for all results reported in our submission.</p>
Figure 29 in Cave-dwelling gastropods (Mollusca: Gastropoda) of Brazil: state of the art and conservation
Figure 29. Map of Brazil highlighting the caves where the species listed here occur: (SP) São Paulo, square 1 shows caves located in the Upper Ribeira karst area; (MG) Minas Gerais, square 2 corresponds to caves in the municipalities of Pains and Pedro Leopoldo, and square 3 to caves in Presidente Olegário municipality; (BA) Bahia, square 4 shows caves in the Serra do Ramalho region. Other state abbreviations: (CE) Ceará, (GO) Goiás, (MS) Mato Grosso do Sul, (PI) Piauí.
Figures 23–28 in Cave-dwelling gastropods (Mollusca: Gastropoda) of Brazil: state of the art and conservation
Figures 23–28. Examples of caves where some of the species listed here inhabit: (23) Tapagem cave (Eldorado, São Paulo); (24) Gruna das Três Cobras cave (Carinhanha, Bahia; photo: Adriano Gambarini); (25) Aranhas cave (Apiaí, São Paulo); (26) Lapa Zé de Sidinei cave (Presidente Olegário, Minas Gerais); (27) Lapa da Fazenda São Bernardo cave (Presidente Olegário, Minas Gerais); (28) Teminina II cave (Apiaí, São Paulo cave; photo: Adriano Gambarini).
Figures 1–22 in Cave-dwelling gastropods (Mollusca: Gastropoda) of Brazil: state of the art and conservation
Figures 1–22. (1) Habeas corpus, holotype MZSP 110000, shell height H = 10.3 mm; (2) Habeas data, holotype MZSP 106810, H = 5.7 mm; (3) Habeastrum parafusum, holotype MZSP 134301, H = 1.4 mm; (4) Habeastrum omphalium, holotype MZSP 135583, H = 1.7 mm; (5) Habeastrum strangei, paratype MZSP 137432, H = 1.6 mm; (6) Habeastrum strangei, SEM image of holotype MZSP 151626, H = 2.8 mm; (7) Spiripockia puncata, holotype MZSP 105000, H = 4.6 mm; (8) Spiripockia umbraticola, paratype MZSP 151100, H = 4.8 mm; (9) Spiripockia umbraticola, SEM image of holotype MZSP 151099, H = 5.2 mm; (10) Potamolithus karsticus, paratype MZSP 27946, H = 1.2 mm; (11) Potamolithus troglobius, paratype MZSP 27948, H = 2.3 mm; (12) Lavajatus moroi, holotype MZSP 131060, H = 35.4 mm; (13) Streptartemon molaris, holotype MZSP 112451, H = 8.7 mm; (14) Gonyostomus elinae, holotype MZSP 106226, H = 48.0 mm; (15) Gastrocopta sharae, holotype MZSP 122725, H = 1.9 mm; (16) Gastrocopta sharae, SEM image of holotype; (17) Anctus prolatus, holotype MZSP 112450, H = 25.2 mm; (18) Kora nigra, holotype MZSP 106232, H = 30.1 mm; (19) Bahiensis ribeirensis, holotype MZSP 120774, H = 21.3 mm; (20) Clinispira insolita, holotype MZSP 111847, H = 14.6 mm; (21) Cyclodontina capivara, holotype MZSP 112448, H = 19.2 mm; (22) Rhinus gilbertus, holotype MZSP 112449, H = 21.9 mm.
The Air Listening Station: Bridging the gap between Sound Art and Sonification - Sonification examples
<p><strong>Example audio files:</strong></p> <p>1) aesthetic_direction_01.mp3 --> Initial aesthetic direction/proof of concept created using 1 hour of PM_10 and PM_2.5 data rendered at a 10:1 ratio (i.e. 60 minutes of air quality data results in 6 minutes of audio). Created using the Ultimate Grainer module of Ajax Sound Studio’s Cecilia 5 audio signal processing environment.</p> <p>2) sample sonification - original - good AQ - 5x bad AQ.mp3 --> contains several example outputs created using the sonification instrument created in Supercollider presented during the <a href="https://radioart.zone/sunday-28-august">radio art zone broadcast on August 28, 2022</a></p> <ul> <li>[0:00] - original field recording before processing</li> <li>[0:30] - example of "good" air quality data</li> <li>[1:02] - example of "bad" air quality data #1</li> <li>[2:10] - example of "bad" air quality data #2</li> <li>[2:45] - example of "bad" air quality data #3</li> <li>[3:08] - example of "bad" air quality data #4</li> <li>[3:38] - example of "bad" air quality data #5</li> </ul>
State-of-the-Art Review on the Aspects of Martensitic Alloys Studied via Machine Learning
<p>Description</p> <p>The dataset for the review paper titled "State-of-the-Art Review on the Aspects of Martensitic Alloys Studied via Machine Learning" consists of the four files with the names (i) alloy_names.csv, (ii) machine_learning_methods.csv, (iii) nomenclature.csv, and (iv) ptmc_terminologies.csv.</p> <p><strong>(i) alloy_names.csv </strong>: This file presents the summarized list of alloys' names which have been discussed in the review paper. The list thus provides the names of the alloys for which data-driven studies have been attempted to explore one of the effects - martensitic transformation, phase transformation or shape memory effect. </p> <p><strong>(ii) machine_learning_methods.csv</strong> : The machine learning methods that have been discussed in the review paper in relation to the simulation, modeling or prediction tasks in martensitic alloys are listed in this file. This csv file conssits of three columns. The first column "Methods" lists the names of the machine learning methods whereas the second column "Purpose" briefly reveals the objective of the use of the named machine learning method. The final column "Reference" provides the information about the original work (source) from which the data is obtained. </p> <p><strong>(iii) nomenclature.csv </strong>: This file lists all of the acronyms utilized in the review paper, and provides their corresponding full forms. </p> <p><strong> (iv) ptmc_terminologies.csv</strong> : One of the major theories considered significant in the study of martensitic alloys and shape memory effects is phenomenological theory of martensite crystallography (PTMC). The review paper discusses this theory. The different concepts that might be helpful in understanding PTMC , have been assembled in the form of terminologies. </p>
Connecting Youth and Young Adults to Optimize ART Adherence: YouTHrive Efficacy Trial
ClinicalTrials.gov study NCT03149757. IPD Sharing: YES. Countries: 1. Publications: 1.
Early ART to Limit Infection and Establishment of Reservoir
ClinicalTrials.gov study NCT02859558. IPD Sharing: YES. Countries: 6. Publications: 1.
Couples ART Adherence Intervention for PWID in Kazakhstan
ClinicalTrials.gov study NCT03555396. IPD Sharing: YES. Countries: 1. Publications: 1.
Vacc-4x + Lenalidomide vs. Vacc-4x +Placebo in HIV-1-infected Subjects on Antiretroviral Therapy (ART)
ClinicalTrials.gov study NCT01704781. IPD Sharing: NO. Countries: 1. Publications: 4.
Tenofovir-lamivudine-dolutegravir Combination as Second-line ART: a Randomised Controlled Trial
ClinicalTrials.gov study NCT03991013. IPD Sharing: YES. Countries: 1. Publications: 4.
Visual discomfort and variations in chromaticity in art and nature
Open the record for dataset details and reuse information.
Small mammal ARTS: Orion receiver data for site radiomapping and vole tracking, and scripts and results for localization and activity estimates
Open the record for dataset details and reuse information.
HEartS Professional Survey: Charting the effects of COVID-19 lockdown 1.0 on working patterns, income, and wellbeing among performing arts professionals in the United Kingdom (April–June 2020)
Open the record for dataset details and reuse information.
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.