eLTER PLUS Deliverable D2.5 - eLTER Collaborations with RIs and other peers

This report focuses particularly on efforts to concretize working relations of the emerging eLTER RI with European and global environmental peer RIs and networks, which are of highest relevance for the design and operations of eLTER RI according to the the eLTER Strategic Plan.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-15
DOI
https://doi.org/10.5281/zenodo.15011544
Primary Topic
Optics and Image Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

eLTER PLUS Deliverable D2.5 - eLTER Collaborations with RIs and other peers

Zenodo (CERN European Organization for Nuclear Research)
Optics and Image Analysis
article

eLTER PLUS Deliverable D2.5 - eLTER Collaborations with RIs and other peers

article en

Abstract

This report focuses particularly on efforts to concretize working relations of the emerging eLTER RI with European and global environmental peer RIs and networks, which are of highest relevance for the design and operations of eLTER RI according to the the eLTER Strategic Plan.

Zenodo (CERN European Organization for Nuclear Research)
University of Helsinki (FI), Helmholtz Centre for Environmental Research (DE), University of Bucharest (RO), Swedish University of Agricultural Sciences (SE), National Council for Scientific Research (LB), Environment Agency Austria (AT)
Partnerships for the goals
Openalex Percentile: Top 43%
Optics and Image Analysis
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.