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Month correlations and contributions to correspondence analysis dimensions 1 and 2.

NIAID Data Ecosystem2026-03-12 收录

数据链接：

https://figshare.com/articles/dataset/Month_correlations_and_contributions_to_correspondence_analysis_dimensions_1_and_2_/13526974 数据链接链接失效反馈

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资源简介：

Month correlations and contributions to correspondence analysis dimensions 1 and 2.

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创建时间：

2021-01-06

语言学

对应分析

This dataset contains the database and statistical code used for a term paper in HIF-3082 Quantitative Methods in Linguistics, spring 2017. It includes two datasets (I and II)....

B2FIND100

Seasonal patterns in Chinese population: Validating the seasonal pattern assessment questionnaire and exploring associations with psychiatric diagnoses and biological rhythms

精神健康

季节性模式

Seasonal patterns (SP) exert a notable influence on the course and prognosis of patients with affective disorders, serving as a specifier in diagnosis. However, there is limited exploration of seasona

DataCite Commons2024-12-20 更新50

Aquarius Official Release Level 3 Wind Speed Standard Mapped Image Descending Seasonal Climatology Data V5.0

海洋表面风速

季节性模式

Aquarius Official Release Level 3 Wind Speed Standard Mapped Image Descending Seasonal Climatology Data V5.0

CMR Search30

Short-term movement and dispersal patterns of barramundi in a seasonally closed freshwater habitat in the Northern Territory

淡水鱼类生态学

季节性模式

Barramundi (Lates calcarifer) were captured by rod and reel angling using lures at Mission Billabong, a freshwater body within the Daly River catchment, southwest of Darwin, Northern Territory. The to

Research Data Australia70

Supplementary information for : "Trait matching without traits: using correspondence analysis to investigate the latent structure of interaction networks"

交互网络

对应分析

This repository contains the supplementary information (appendices A to E) from the following article:Nicvert, L., Fritz, H. & Dray, S. (in prep.). Trait matching without traits: using corresponde

DataCite Commons2025-07-09 更新40

Month correlations and contributions to correspondence analysis dimensions 1 and 2.

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