Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Nonparametric spectral methods for multivariate spatial and spatial–temporal data

Journal of Multivariate Analysis(2021)10.1016/j.jmva.2021.104823Source: DataRank Database

Nonparametric spectral methods for multivariate spatial and spatial–temporal data is a research paper published in Journal of Multivariate Analysis (2021). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: greenTopics (15)IDs (PubMed, PMC)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (1)

Joseph Guinness ORCID

Live enrichment

PubMed:34955568 PMC:PMC8694030

National Science Foundation

Grant: 1613219

National Science Foundation

Grant: 1916208

Spatial-Temporal Modeling and Computation for Physical Processes and Numerical Simulations

National Institutes of Health

Grant: R01ES027892

National Institutes of Health

Grant: 5R01ES027892-02

Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity

greenLicense: Elsevier Non-Commercial

repositoryhttps://arxiv.org/pdf/1811.01280

publisherhttps://api.elsevier.com/content/article/PII:S0047259X21001019?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0047259X21001019?httpAccept=text/plain

repositoryhttps://arxiv.org/pdf/1811.01280.pdf

repositoryhttps://doi.org/10.48550/arxiv.1811.01280

Fields of Study

01 natural sciences0101 mathematics

Keywords

CoherenceFast Fourier TransformCirculant EmbeddingFOS: Computer and information sciencesInference from spatial processesEstimation in multivariate analysisMeteorology and atmospheric physicsMethodology (stat.ME)Inference from stochastic processes and spectral analysisNonparametric estimationApplications of statistics to environmental and related topicsDirectional data; spatial statisticsStatistics - Methodology