Autonomous instrumentation and big data: New windows, knowledge, and breakthroughs in the aquatic sciences

Authors

Institutions

Publication Details

Journal
Limnology and Oceanography
Published
2025-04-23
DOI
https://doi.org/10.1002/lno.70040
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Autonomous instrumentation and big data: New windows, knowledge, and breakthroughs in the aquatic sciences

Steeve Comeau, Heidi M. Sosik, Werner Eckert, Yuichiro Takeshita et al.
Limnology and Oceanography
Big Data and Business Intelligence
article

Autonomous instrumentation and big data: New windows, knowledge, and breakthroughs in the aquatic sciences

Steeve Comeau, Heidi M. Sosik, Werner Eckert, Yuichiro Takeshita, C‐Elisa Schaum, Julia C. Mullarney, Kevin C. Rose, Dominique Lefèvre
article en

Abstract

No abstract available for this paper.
Limnology and OceanographyVol. 70(S1)
Centre National de la Recherche Scientifique (FR), Monterey Bay Aquarium Research Institute (US), Université de Toulon (FR), Universität Hamburg (DE), Rensselaer Polytechnic Institute (US), Aix-Marseille Université (FR), Sorbonne Université (FR), Israel Oceanographic and Limnological Research (IL), Institut Méditerranéen d’Océanologie (FR), Laboratoire d’Océanographie de Villefranche (FR), Institut de Recherche pour le Développement (FR), University of Waikato (NZ), Woods Hole Oceanographic Institution (US)
Life below water
Openalex Percentile: Top 87%
Big Data and Business Intelligence
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.