Survey and literature review dataset for: Fresh, salty, and still not talking? Assessing and addressing the limnology-oceanography research divide
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This dataset contains the complete raw data supporting the analyses presented in the paper in processing"Fresh, salty, and still not talking? Assessing and addressing the limnology-oceanography research divide" (Díaz-Torres et al., 2026). The dataset includes three Excel files: 1. RivertoOcean_Summary_English.xlsx: Anonymized survey responses from 78 English-speaking aquatic researchers (76% of total respondents) from 27 countries. The survey was conducted between October 2024 and January 2025 and collected information on research backgrounds, collaboration patterns, perceived barriers, and priorities for freshwater-marine interdisciplinary research. 2. RivertoOcean_Summary_Spanish.xlsx: Anonymized survey responses from 25 Spanish-speaking aquatic researchers (24% of total respondents), primarily from Latin America. The Spanish version of the survey enabled inclusion of perspectives often underrepresented in international assessments. 3. LO_26_0181_literature_review.xlsx: Systematic literature review of 320 papers published in Limnology & Oceanography between 2015-2025 (approximately 17% of all regular issue papers in that period_). Each entry includes classification by field (limnology, oceanography, coastal, estuary, both), whether the paper mentions the other field, and whether it demonstrates substantive interdisciplinary engagement (knowledge exchange or land-ocean aquatic continuum research). Together, these datasets provide the empirical foundation for identifying the "collaboration ceiling" between limnology and oceanography communities, revealing that while 49% of papers mention both fields, only 25% demonstrate meaningful interdisciplinary collaboration. The survey was approved by the University of Leeds Faculty of Environment Research Ethics Committee (reference: 1620). All data are anonymized with no personally identifiable information. Corresponding authors: Taylor Maavara (maavarat@caryinstitute.org), Osiris Díaz-Torres (osiris.diaz@udlap.mx)



