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Data for Matsala et al. (2021) paper in Applied Vegetation Science journal

Name: Data for Matsala et al. (2021) paper in Applied Vegetation Science journal
Creator: Zenodo
Published: 2021-12-16T18:39:00+08:00

Zenodo2021-12-16 更新2026-05-25 收录

数据链接：

https://zenodo.org/record/5786962 数据链接链接失效反馈

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资源简介：

Data to run models described in Matsala et al. (2021) paper in Applied Vegetation Science journal.

应用场景：

提供机构：

Zenodo

创建时间：

2021-12-16

保护文化组学

生物多样性数字关注度分析

This archive contains the reproducibility package for the manuscript entitled “conCultuR: An R package for reproducible conservation culturomics across digital platforms.” conCultuR is an R package f

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Dolmen Hadzhoh - 3

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Weather station temperature exposure metadata and exposure bias estimates

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历史气温数据重建

Thermometer exposure metadata and monthly estimates of the exposure biases arising from the transition to Stevenson screens at mid-latitude weather stations in an extended version of the CRUTEM5 stati

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PEDAGOGICAL AND METHODOLOGICAL POSSIBILITIES OF USING PROBLEM-BASED LEARNING ELEMENTS IN TEACHING ENGLISH

英语教学法创新

问题导向学习课程设计

This study explores the pedagogical and methodological possibilities of using Problem-Based Learning (PBL) elements in English language teaching. The research focuses on how problem situations, intera

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Actinidia chinensis cv. 'Hayward' Flower Dataset 2023 (augmented version)

植物花朵视觉识别

农业对象检测

This dataset is an augmented version of an existing dataset (10.5281/zenodo.10790392), composed by images with flower annotations. The images were acquired in Quinta do Carrazedo (41.32170534304873, -

Zenodo2024-09-05 更新00

Data for Matsala et al. (2021) paper in Applied Vegetation Science journal

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