Results 171 to 180 of about 26,617 (215)

Building Trust: Validating Artificial Intelligence (AI) and Machine Learning in Agricultural Applications. [PDF]

J Agric Food Chem
Riter LS, Bienstock RJ, O'Sullivan W.
europepmc   +1 more source

Interoperable smart city transformation: Insights from European data space for smart communities. [PDF]

Data Brief
Meszaros S, Puura A, Thoeye T.
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From Film to Data: Automating Meta-Feature Extraction in Historical Aerial Imagery. [PDF]

J Photogramm Remote Sens Geoinform Sci
Dahle F, Liu Y, Lindenbergh R, Wouters B.   +3 more
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Health Data for Linguistic Minority Group Research in Canada: Proof-of-Concept Centralized Health Care Metadata Repository Development and Usability Study. [PDF]

JMIR Infodemiology
Martin-Schreiber V, Peixoto C, Batista R, Belanger C, Tanuseputro P, Hsu AT, Bjerre LM.   +6 more
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Harmonized geospatial data to evaluate the Electric Distribution Networks in the US Northeast. [PDF]

Sci Data
Salbanya B, Nin J, Gras Alomà R.
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Toward next-generation machine learning and deep learning for spatial omics. [PDF]

Brief Bioinform
Zirem Y, Fournier I, Salzet M.
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Global 1-km Coastal Bathymetry from Sentinel-2 Wave Inversion using the Satellite-to-Shores (S2hores) Toolbox. [PDF]

Sci Data
Almar R, Bergsma EWJ, Thoumyre G, Giros A, Marchesiello P, Lemai-Chenevier S, Artigues S, Loyer S, Delvit JM.   +8 more
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A curated dataset and web application for Integrative Analysis of Ancient DNA from Britain and Ireland

Metz S, Fischer C, Bleasdale M, Castells Navarro L, Büster L, Legge M, Reich D, Armit I.   +7 more
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Augmenting geospatial data provenance through metadata tracking in geospatial service chaining

Computers & Geosciences, 2010
In a service-oriented environment, heterogeneous data from distributed data archiving centers and various geo-processing services are chained together dynamically to generate on-demand data products. Creating an executable service chain requires detailed specification of metadata for data sets and service instances.
Peng Yue, Jianya Gong, Liping Di
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Mapping Geospatial Metadata to Open Provenance Model

IEEE Transactions on Geoscience and Remote Sensing, 2013
This paper maps the data lineage entities in ISO19115 and ISO19115-2, the metadata standards of the International Organization for Standardization for geographic information and for imagery and gridded data [ISO geospatial metadata (GMD)], to the entities in open provenance model (OPM). The term “map” refers to establishing a correspondence between the
Chen-Chieh Feng
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