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Data · dataset · 2025

Estimating Dewpoint Temperature for Peru Potato Planting Locations Using an Anomaly Local Linear Regression Model

Listed in International Potato Center

Description

This dataset documents the tdew_estimation software repository, which shows how to estimate daily dewpoint temperature (td) for potato planting locations in Peru using an anomaly model with weighted local linear regression. Code repository: github.com/CENTRO-INTERNACIONAL-DE-LA-PAPA/tdew_estimation

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Agricultural Sciences
From keywords
Climate · Climatology · Life Sciences
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/P3/PDDETQ12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:agricultural-sciencessource · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[subject].local:topic:climatemapping · data cipotato orgvocabulary-mapper@1.0.0keywords['climatology']
created_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
descriptionsource · data cipotato orgconnector:data_cipotato_org@1.0.0/description
publication_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
titlesource · data cipotato orgconnector:data_cipotato_org@1.0.0/name
updated_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
version_labelsource · data cipotato orgconnector:data_cipotato_org@1.0.0