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References from Predicting species distributions in the open ocean with convolutional neural networks. Local targets link to admitted publications; unresolved targets remain external evidence.
Dissolved organic carbon pools and export from the coastal ocean
10.1002/2014gb005056 · 2015 · External reference
Nice weather for bettongs: using weather events, not climate means, in species distribution models
10.1111/j.1600-0587.2011.06871.x · 2012 · External reference
Fine-scale structures as spots of increased fish concentration in the open ocean
10.1038/s41598-021-94368-1 · 2021 · External reference
In search of relevant predictors for marine species distribution modelling Using the MarineSPEED benchmark dataset
10.1111/ddi.12668 · 2018 · External reference
A deep learning approach to species distribution modelling
10.1007/978-3-319-76445-0_10 · 2018 · External reference
Operation of zoogeographic barriers
10.1093/sysbio/23.2.248 · 1974 · External reference
Modelling the oceanic habitats of two pelagic species using recreational fisheries data
10.1111/fog.12122 · 2015 · External reference
Thermal preference predicts animal personality in Nile <span class="italique">Tilapia Reochromis niloticus</span>
10.1111/1365-2656.12555 · 2016 · External reference
Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network
10.1371/journal.pone.0235783 · 2020 · External reference
A simulation approach to assessing bias in a fisheries self-sampling programme
10.1093/icesjms/fsab242 · 2022 · External reference
Multi-label learning from single positive labels
10.1109/cvpr46437.2021.00099 · 2021 · External reference
Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment
10.1371/journal.pcbi.1008856 · 2021 · External reference
Explicitly integrating a third dimension in marine species distribution modelling
10.3354/meps12011 · 2017 · External reference
Novel methods improve prediction of species’ distributions from occurrence data
10.1111/j.2006.0906-7590.04596.x · 2006 · External reference
AI-based mapping of the conservation status of orchid assemblages at global scale. Version 1
10.48550/arxiv.2401.04691 · 2024 · External reference
Global ocean gridded L4 sea surface heights and derived variables NRT
10.48670/moi-00149 · 2017 · External reference
Global ocean biogeochemistry hindcast
10.48670/moi-00019 · 2018 · External reference
Global ocean biogeochemistry analysis and forecast
10.48670/moi-00015 · 2019 · External reference
Multi observation global ocean 3D temperature salinity height geostrophic current and MLD
10.48670/moi-00052 · 2020 · External reference
Global ocean gridded L4 sea surface heights and derived variables reprocessed (1993-ongoing)
10.48670/moi-00148 · 2021 · External reference
Global ocean L4 significant wave height from reprocessed satellite measurements
10.48670/moi-00177 · 2021 · External reference
Global ocean colour (Copernicus-GlobColour), bio-geo-chemical, L4 (monthly and interpolated) from satellite observations (1997-ongoing)
10.48670/moi-00281 · 2022 · External reference
PyTorchLightning/Pytorch-Lightning: 0.7.6 release. Version 0.7.6
10.5281/zenodo.3828935 · 2020 · External reference
The importance of temporal resolution for niche modelling in dynamic marine environments
10.1111/jbi.13080 · 2017 · External reference
Migration, residency, and homing of Bluefin Tuna in the western Mediterranean Sea
10.1093/icesjms/fst157 · 2014 · External reference
Oceanographic changes and exploitation drive the spatio-temporal dynamics of Atlantic Bluefin <span class="italique">Tuna Thunnus thynnus</span>
10.1111/fog.12050 · 2014 · External reference
Spatial and temporal variability in the trans-Pacific migration of Pacific Bluefin Tuna (<span class="italique">Thunnus orientalis</span>) revealed by archival tags
10.1016/j.pocean.2018.02.010 · 2018 · External reference
Atmosphere‐ocean ozone exchange: a global modeling study of biogeochemical, atmospheric, and waterside turbulence dependencies
10.1029/2008gb003301 · 2009 · External reference
Data quantity is more important than its spatial bias for predictive species distribution modelling
10.7717/peerj.10411 · 2020 · External reference
GBIF
2023 · External reference
The GEBCO_2022 grid - a continuous terrain model of the global oceans and land
10.5285/e0f0bb80-ab44-2739-e053-6c86abc0289c · 2022 · External reference
Global trends in ocean phytoplankton: a new assessment using revised ocean colour data
10.1080/2150704x.2017.1354263 · 2017 · External reference
Predicting species distribution: offering more than simple habitat models
10.1111/j.1461-0248.2005.00792.x · 2005 · External reference
Predictive habitat distribution models in ecology
10.1016/s0304-3800(00)00354-9 · 2000 · External reference
Deep residual learning for image recognition
10.1109/cvpr.2016.90 · 2016 · External reference
Summary for policymakers
10.1017/cbo9781107415416.005 · 2019 · External reference
Historical overfishing and the recent collapse of coastal ecosystems
10.1126/science.1059199 · 2001 · External reference
Captum: a unified and generic model interpretability library for PyTorch
10.48550/arxiv.2009.07896 · 2020 · External reference
FSLE - Finite-Size Lyapunov Exponents and orientations of the associated eigenvectors (Version DT2021). [Dataset]
10.24400/527896/a01-2022.002 · 2021 · External reference
Plantnet/Malpolon: Deep-SDM framework
2023 · External reference
Chapter 19 - Ocean Pollution
10.1016/b978-0-12-381475-3.10019-1 · 2011 · External reference
Temporal resolutions in species distribution models of highly mobile marine animals: recommendations for ecologists and managers
10.1111/ddi.12609 · 2017 · External reference
RSS Cross-Calibrated Multi-Platform (CCMP) 6-hourly ocean vector wind analysis on 0.25 deg grid, Version 3.0
10.56236/rss-uv6h30 · 2022 · External reference
Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence
10.1016/j.ecolmodel.2019.108837 · 2020 · External reference
Integrating dynamic environmental predictors and species occurrences: Toward true dynamic species distribution models
10.1002/ece3.5938 · 2019 · External reference
Species distribution modeling
10.1111/j.1749-8198.2010.00351.x · 2010 · External reference
Frequent locations of oceanic fronts as an indicator of pelagic diversity: application to marine protected areas and renewables
10.1016/j.marpol.2013.09.009 · 2014 · External reference
Delayed response of fish abundance to environmental changes: a novel multivariate time-lag approach
10.3354/meps09731 · 2012 · External reference
Deep-SDMs in the open oceans - OUTPUTS - World
10.5281/zenodo.8202261 · 2023 · External reference
Deep-SDMs in the open oceans - OUTPUTS - western Indian Ocean
10.5281/zenodo.8202056 · 2023 · External reference
Deep-SDMs in the open oceans - OUTPUTS - World +2°C
10.5281/zenodo.8202709 · 2023 · External reference
Deep-SDMs in the open oceans - MODEL CHECKPOINT
10.5281/zenodo.8202914 · 2023 · External reference
Deep-SDMs in the open oceans - CODE
10.5281/zenodo.10809445 · 2024 · External reference
GeoEnrich v0.5.8: a new tool for scientists to painlessly enrich species occurrence data with environmental variables
10.5281/zenodo.6458090 · 2023 · External reference
The potential of convolutional neural networks for modeling species distributions.
10.24072/pci.ecology.100584 · 2024 · External reference
An approach to consider behavioral plasticity as a source of uncertainty when forecasting species' response to climate change
10.1002/ece3.1519 · 2015 · External reference
GHRSST Level 4 MUR 0.25deg global foundation sea surface temperature analysis (v4.2)
10.5067/ghm25-4fj42 · 2019 · External reference
Resampling methods for a reliable validation set in deep learning based point cloud classification
10.5194/isprs-archives-xliii-b2-2022-617-2022 · 2022 · External reference
PyTorch: an imperative style, high-performance deep learning library
10.48550/arxiv.1912.01703 · 2019 · External reference
Right Whales
2009 · External reference
Do marine and terrestrial ecologists do it differently?
2005 · External reference
An application of satellite-derived sea surface temperature data to the Skipjack (<span class="italique">Katsuwonus pelamis</span> Linnaeus, 1758) and Albacore Tuna (<span class="italique">Thunnus \emphalalunga</span> Bonaterre, 1788) fisheries in the North-east Atlantic
10.1080/01431169608949042 · 1996 · External reference
PhytoBase: a global synthesis of open-ocean phytoplankton occurrences
10.5194/essd-12-907-2020 · 2020 · External reference
A review of Humpback Whales' migration patterns worldwide and their consequences to gene flow
10.1017/s0025315409000332 · 2009 · External reference
Pushing the limits in marine species distribution modelling: lessons from the land present challenges and opportunities: marine species distribution models
10.1111/j.1466-8238.2010.00636.x · 2011 · External reference
ESA Ocean Colour Climate Change Initiative: Version 5.0 Data
10.5285/1dbe7a109c0244aaad713e078fd3059a · 2021 · External reference
Mapping global human dependence on marine ecosystems
10.1111/conl.12617 · 2019 · External reference
Drivers and impacts of the most extreme marine heatwave events
10.1038/s41598-020-75445-3 · 2020 · External reference
Axiomatic attribution for deep networks
10.48550/arxiv.1703.01365 · 2017 · External reference
Top marine predators track Lagrangian coherent structures
10.1073/pnas.0811034106 · 2009 · External reference
Atlantic Bluefin Tuna (<span class="italique">Thunnus Thynnus</span>)
2009 · External reference
Facts and uncertainties about the genetic population structure of Atlantic Bluefin Tuna (<span class="italique">Thunnus thynnus</span>) in the Mediterranean. Implications for fishery management
10.1007/s11160-010-9174-6 · 2011 · External reference
Biodiversity's big wet secret: the global distribution of marine biological records reveals chronic under-exploration of the deep pelagic ocean
10.1371/journal.pone.0010223 · 2010 · External reference
Wedge-Tailed Shearwater (Ardenna pacifica)
10.2173/bow.wetshe.01 · 2020 · External reference
A flexible Bayesian framework for unbiased estimation of timescales
10.1038/s43588-022-00214-3 · 2022 · External reference