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5 results for “support vector regression”

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zenodo36/100

RDF Dataset for article: A confidence predictor for logD using conformal regression and a support-vector machine

<p>RDF dataset described in article: &quot;A confidence predictor for logD using conformal regression and a support-vector machine&quot; (Manuscript in preparation).</p> <p>The dataset contains conformal logD values at 90% confidence level, computed for 91M compounds from PubChem, in RDF format.</p> <p>The .hdt.gz version contains the dataset in RDF HDT format (http://www.rdfhdt.org/), compressed with tar and gzip. The archive contains both the .hdt file, and an index file, generated by the hdtSearch C++ tool.</p> <p>The .ttl.gz file is a gzipped file in RDF Turtle format (https://www.w3.org/TR/turtle/).</p>

opencc-by-4.0Dec 2017View details →
zenodo32/100

Compound data sets for support vector machine and regression modeling

<p>Provided are compound data sets used for support vector machine and support vector regression modeling and associated information.</p>

opencc-by-4.0Oct 2018View details →
zenodo28/100

The support vector regression predicted nine PFTschla in the South China Sea and adjacent Taiwan Strait and East China Sea

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo24/100

Validation data: Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance

<p>Validation data used in the analysis presented by Legaard et al. (in review). Validation data are sufficient to replicate model comparisons presented in this paper. Note that model training data were provided by the USDA Forest Service, Forest Inventory and Analysis Program through a collaborative agreement,&nbsp;are maintained by the USDA Forest Service as confidential, and cannot be shared.</p> <p>Legaard, K.,&nbsp;Simons-Legaard, E., Weiskittel, A.,&nbsp;Multi-objective support vector regression reduces systematic error in moderate resolution maps of tree species abundance, Remote Sensing, in review.</p>

opencc-by-4.0Apr 2020View details →
geo20/100

Multi-level Support Vector Regression analysis to identify condition-specific regulatory networks

GEO Series GSE20700. Homo sapiens. 6 samples. Type: Expression profiling by array.

openGEO-OpenMar 2010View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record