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125
datasets available to search
ShareScore release 0.9.0
Dataset results
125 results for “Data attribute”
Data from: Habitat attributes associated with short-term settlement of Ozark hellbender (Cryptobranchus alleganiensis bishopi) salamanders following translocation to the wild
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Data from: Abandoned pastures cannot spontaneously recover the attributes of old-growth savannas
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Data from: Food availability and predation risk, rather than intrinsic attributes are the main factors shaping the reproductive decisions of a long-lived predator
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Data from: Sperm competition accentuates selection on ejaculate attributes
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Data from: Experimental evidence that intruder and group member attributes affect outgroup defence and associated within-group interactions in a social fish
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Data from: Genome-wide identification of host-segregating epidemiological markers for source attribution in Campylobacter jejuni
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Data from: Identifying ‘vital attributes’ for assessing disturbance-recovery potential of seafloor communities
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Supplementary data for: Abducens nerve palsy with ipsilateral excessive eye tearing attributed to internal carotid artery sympathetic plexus schwannoma
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Data from: Cross-biome metagenomic analyses of soil microbial communities and their functional attributes
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Data from: Neural signatures for sustaining object representations attributed to others in preverbal human infants
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Data from: Habitat attributes similarities reduce impacts of land-use conversion on seed removal
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Data from: Reproductive sharing in relation to group and colony-level attributes in a cooperative breeding fish
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Data from: Motivation and moral attributes in sport
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Data from: Mountain Plover habitat selection and nest survival in relation to weather variability and spatial attributes of Black-tailed Prairie Dog disturbance
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Supporting fire regime attributes data
<p>Dataset contains linear mixed modelling coefficients for all models and fire regime attributes for all replicates, study areas and climate models </p>
Attributing agnostically-detected large reductions in road CO2 emissions to policy mixes (code and data)
<p>Data and code to reproduce the main results of the paper.</p>
Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant
<p class="MsoNormal"><span>Artificial intelligence (AI) has come to human life in various forms. As external activities decrease after COVID-19, people treat voice intelligent assistant (VIA) as a friend or secretary. This study suggests a conceptual model to identify the contributors to the continuance intention of VIA users. Data is collected from 262 users who use VIAs in their daily life for validating the model. The current research conducted partial least square structural equation modeling to validate the proposed model. The findings indicated that cabin fever syndrome significantly affects both utilitarian motivation and hedonic motivation. Loneliness in COVID-19 causes utilitarian motivation. The results verified that utilitarian motivation is the determinant of perceived usefulness, interaction, and voice attractiveness. The findings of the study figured out that hedonic motivation has a significant influence on interaction, parasocial interaction, and voice attractiveness. The analysis uncovered that interaction impacts satisfaction and continuance intention. The findings validated that voice attractiveness is significantly associated with satisfaction. Satisfaction is the determinant of continuance intention.</span></p>
Supporting fire regime attributes data
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Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant
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Synthetic Datasets from the Article titled Privacy-preserving Ground-truth Data for Evaluating Additive Feature Attribution in Regression Models with Additive CBR and CQV
<p>Synthetic datasets were generated as benchmarks capturing the intrinsic characteristics of original data to investigate the performance of additive feature attribution methods for regression tasks. The synthetic datasets were generated based on 2, 6 and 8 clusters formed with the original data. The 6-cluster dataset was used for primary analysis and the other two were used for sensitivity analysis.</p><p>The synthetic dataset was generated from the original data acquired from <a href="https://www.eurocontrol.int/dashboard/rnd-data-archive">Aviation Data for Research Repository</a>, which was collected and processed by <a href="https://www.eurocontrol.int/">EUROCONTROL</a> from the Enhanced Tactical Flow Management System (ETFMS) flight data messages containing all flights in Europe throughout the year 2019, from May to October. The original dataset consisted of fundamental details of the flights, flight status, preceding flight legs, ATFM regulations, weather conditions, calendar information, etc. </p><p>A brief description of the columns in the synthetic data files is presented in the file 'data_description.pdf' and a more detailed discussion on features can be found in the works of Koolen and Coliban [1] and Dalmau et al. [2].</p><p> </p><p><strong>References</strong><br>[1] H. Koolen and I. Coliban, <a href="https://www.eurocontrol.int/sites/default/files/2020-06/flight-progress-msg-update-230620.pdf">Flight Progress Messages Document</a>, EUROCONTROL, Brussels, Belgium, Tech. Rep., 2020.<br>[2] R. Dalmau, F. Ballerini, H. Naessens, S. Belkoura, and S. Wangnick, <a href="https://www.sciencedirect.com/science/article/pii/S0969699721000739">An Explainable Machine Learning Approach to Improve Take-off Time Predictions</a>, Journal of Air Transport Management, vol. 95, p. 102 090, Aug. 2021. doi: 10.1016/j.jairtraman.2021.102090.</p><p><br> </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.