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Data · dataset · 2025

training_samples_zarr_multiscale_soil_v11.9

Listed in ScienceDB

The dataset used in the crop yield prediction model (covering the contiguous United States) integrates NDVI, ERA5 meteorological data, and soil moisture data.

Description

It calculates indicators including monthly average temperature, monthly total precipitation, downward shortwave radiation, accumulated temperature, number of heat stress days, number of extreme rainfall days, length of drought periods, surface soil moisture (0–7 cm), and subsurface soil moisture (7–28 cm).

For each indicator, three resolution channels are computed and stored to provide the model with a multi-scale receptive field.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Crop and pasture production 70%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.3412010 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:3004enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (70%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title