| Nome |
# |
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An expert system based on fish assemblages for evaluating the ecological quality of streams and rivers, file e291c0d3-95a5-cddb-e053-3a05fe0aa144
|
927
|
|
A comparison of global estimates of marine primary production from ocean color, file e291c0d3-95aa-cddb-e053-3a05fe0aa144
|
886
|
|
Biological monitoring of wild thicklip grey mullet (Chelon labrosus), golden grey mullet (Liza aurata), thinlip mullet (Liza ramada) and flathead mullet (Mugil cephalus)(Pisces: Mugilidae) from different Adriatic sites: meristic counts and skeletal anomalies, file e291c0d4-0c05-cddb-e053-3a05fe0aa144
|
814
|
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Optimisation of artificial neural networks for predicting fish assemblages in rivers, file e291c0d4-bef3-cddb-e053-3a05fe0aa144
|
698
|
|
Genetic diversity of the genus Ostreopsis Schmidt: phylogeographical considerations and molecular methodology applications for field detection in the Mediterranean Sea., file e291c0d4-7ae2-cddb-e053-3a05fe0aa144
|
531
|
|
LAKE SHOREZONE FUNCTIONALITY INDEX (SFI)
A tool for the definition of ecological quality as indicated by Directive 2000/60/CE, file e291c0d3-c455-cddb-e053-3a05fe0aa144
|
474
|
|
Previsione della composizione della fauna ittica mediante reti neurali artificiali, file e291c0d4-0c21-cddb-e053-3a05fe0aa144
|
384
|
|
Patterning exergy of benthic macroinvertebrate communities using self-organizing maps, file e291c0d4-1044-cddb-e053-3a05fe0aa144
|
356
|
|
Valutazione dello stato ecologico dei sistemi lotici mediante analisi dei popolamenti ittici ai sensi della direttiva 2000/60CE: una proposta basata sulla ricostruzione del giudizio esperto con tecniche di intelligenza artificiale., file e291c0d4-0581-cddb-e053-3a05fe0aa144
|
351
|
|
Monitoring methods based on fish, file e291c0d4-0c09-cddb-e053-3a05fe0aa144
|
344
|
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Perspectives for development of low impact aquaculture in a Western Mediterranean lagoon: the case of the carpet clam Tapes decussatus, file e291c0d3-95b4-cddb-e053-3a05fe0aa144
|
334
|
|
Intraseasonal characterization of glass eel migration in the River Tiber: Space and time dynamics, file e291c0d6-b631-cddb-e053-3a05fe0aa144
|
311
|
|
Optimizing interpolation of shoot density data from a Posidonia oceanica seagrass bed, file e291c0d3-95af-cddb-e053-3a05fe0aa144
|
292
|
|
Long-term changes and recurrent patterns in fisheries landings from Large Marine Ecosystems (1950–2004), file e291c0d4-81bd-cddb-e053-3a05fe0aa144
|
266
|
|
A neural network approach to the prediction of benthic macroinvertebrate fauna composition in rivers, file e291c0d4-104e-cddb-e053-3a05fe0aa144
|
261
|
|
Coralligenous and maerl habitats: predictive modelling to identify their spatial distributions across the Mediterranean Sea, file e291c0d4-84c1-cddb-e053-3a05fe0aa144
|
258
|
|
Optimisation of artificial neural networks for predicting fish assemblages in rivers, file e291c0d4-104b-cddb-e053-3a05fe0aa144
|
253
|
|
Application of Ecological Informatics, file e291c0d4-0989-cddb-e053-3a05fe0aa144
|
245
|
|
Toxic Pseudo-nitzschia spp. in the northwestern Adriatic Sea: characterization of species composition by genetic and molecular quantitative analyses, file e291c0d4-7c4f-cddb-e053-3a05fe0aa144
|
244
|
|
Modelling community structure in freshwater ecosystems, file e291c0d4-0c10-cddb-e053-3a05fe0aa144
|
232
|
|
Spawning and rearing of Holothuria tubulosa: A new candidate for aquaculture in the Mediterranean region, file e291c0d8-4c99-cddb-e053-3a05fe0aa144
|
210
|
|
Un metodo basato sulla fauna ittica e su tecniche di Intelligenza Artificiale per la valutazione dello stato ecologico dei fiumi ai sensi della Direttiva 2000/60/CE, file e291c0d4-10c3-cddb-e053-3a05fe0aa144
|
207
|
|
Protocollo di campionamento e analisi della fauna ittica dei sistemi lotici, file e291c0d3-c30b-cddb-e053-3a05fe0aa144
|
202
|
|
Fisheries yield and primary productivity in large marine ecosystems, file e291c0d3-98dd-cddb-e053-3a05fe0aa144
|
192
|
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Composition of arthropod species assemblages in Bt-expressing and near isogenic eggplants in experimental fields, file e291c0d3-8040-cddb-e053-3a05fe0aa144
|
190
|
|
Commentary: Statistical aspects of environmental risk assessment of GM plants for effects on non-target organisms, file e291c0d3-9971-cddb-e053-3a05fe0aa144
|
182
|
|
Environmental conditioning of skeletal anomalies typology and frequency in gilthead seabream (Sparus aurata L., 1758) juveniles., file e291c0d4-a400-cddb-e053-3a05fe0aa144
|
174
|
|
Optimization of artificial neural networks for predicting fish assemblages in rivers, file e291c0d4-03eb-cddb-e053-3a05fe0aa144
|
167
|
|
An evaluation of ocean color model estimates of marine primary productivity in coastal and pelagic regions across the globe, file e291c0d4-8489-cddb-e053-3a05fe0aa144
|
167
|
|
Challenges of modeling depth-integrated marine primary productivity over multiple decades: A case study at BATS and HOT, file e291c0d3-9a0d-cddb-e053-3a05fe0aa144
|
164
|
|
Marine Strategy, una sfida ed un'opportunità per la Biologia Marina italiana, file e291c0d4-83e6-cddb-e053-3a05fe0aa144
|
160
|
|
Applications of Self-Organizing Maps for Ecomorphological Investigations through Early Ontogeny of Fish, file e291c0d6-29c9-cddb-e053-3a05fe0aa144
|
160
|
|
Skeletal Anomaly Monitoring in Rainbow Trout (Oncorhynchus mykiss, Walbaum 1792) Reared under Different Conditions, file e291c0d6-2d80-cddb-e053-3a05fe0aa144
|
155
|
|
Small-scale perturbation on soft bottom macrozoobenthos after mechanical cleaning operations in a Central-Western Mediterranean lagoon, file e291c0d4-0fae-cddb-e053-3a05fe0aa144
|
137
|
|
Coastal benthic habitat mapping and monitoring by integrating aerial and water surface low-cost drones, file a939254e-e328-4090-9cfe-ffea95fa2edb
|
122
|
|
Use of neural network model to predict diatom assemblages in the Loire-Bretagne basin (France), file e291c0d4-0c17-cddb-e053-3a05fe0aa144
|
112
|
|
Linking shape, taxonomy and function in teleost fish: a machine learning approach, file e291c0d4-0c78-cddb-e053-3a05fe0aa144
|
106
|
|
Real time motion analysis as a useful tool to monitor behavioural rhythms and activity statuses in fishes, file e291c0d4-10c0-cddb-e053-3a05fe0aa144
|
98
|
|
Quantifying the impact of linear regression model in deriving bio-optical relationships: The implications on ocean carbon estimations, file e291c0d8-8bc4-cddb-e053-3a05fe0aa144
|
92
|
|
Predicting Fishing Footprint of Trawlers From Environmental and Fleet Data: An Application of Artificial Neural Networks, file e291c0d8-2147-cddb-e053-3a05fe0aa144
|
90
|
|
Previsione della fauna ittica mediante reti neurali artificiali., file e291c0d4-00d5-cddb-e053-3a05fe0aa144
|
89
|
|
Artificial reproduction of Holothuria polii: A new candidate for aquaculture, file e291c0d8-8bc7-cddb-e053-3a05fe0aa144
|
87
|
|
Preface, file e291c0d3-95c3-cddb-e053-3a05fe0aa144
|
84
|
|
Trends in Effort and Yield of Trawl Fisheries: A Case Study From the Mediterranean Sea, file e291c0d9-0258-cddb-e053-3a05fe0aa144
|
83
|
|
Trophic Requirements of the Sea Urchin Paracentrotus lividus Varies at Different Life Stages: Comprehension of Species Ecology and Implications for Effective Feeding Formulations, file e291c0d9-fa58-cddb-e053-3a05fe0aa144
|
78
|
|
An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models, file e291c0d8-620e-cddb-e053-3a05fe0aa144
|
77
|
|
Cascaded neural networks improving fish species prediction accuracy: The role of the biotic information, file e291c0d8-7240-cddb-e053-3a05fe0aa144
|
77
|
|
A model predicting the PSP toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the NW Adriatic Sea, file e291c0d8-6c76-cddb-e053-3a05fe0aa144
|
75
|
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Effects of rearing conditions on skeletal anomalies typology and frequency in gilthead seabream Sparus auratus juveniles., file e291c0d4-c67a-cddb-e053-3a05fe0aa144
|
74
|
|
An assessment of phytoplankton primary productivity in the Arctic Ocean from satellite ocean color/in situ chlorophyll-a based models, file e291c0d8-612a-cddb-e053-3a05fe0aa144
|
69
|
|
Modelling the vertical distribution of phytoplankton biomass in the mediterranean sea from satellite data: A neural network approach, file e291c0d8-8bcb-cddb-e053-3a05fe0aa144
|
68
|
|
A Baseline for Skeletal Investigations in Medaka (Oryzias latipes): The Effects of Rearing Density on the Postcranial Phenotype, file e291c0da-09f3-cddb-e053-3a05fe0aa144
|
37
|
|
Trophic Requirements of the Sea Urchin Paracentrotus lividus Varies at Different Life Stages: Comprehension of Species Ecology and Implications for Effective Feeding Formulations, file 0cfac218-ea8c-4419-984a-d60ededc21be
|
22
|
|
Collection and analysis of a global marine phytoplankton primary-production dataset, file b6dd2a18-91f8-4cc1-a1ec-ddc08b261de0
|
20
|
|
Trophic Requirements of the Sea Urchin Paracentrotus lividus Varies at Different Life Stages: Comprehension of Species Ecology and Implications for Effective Feeding Formulations, file 93da4aa1-f7ed-43e2-99ca-1fee97f8b393
|
18
|
|
Modeling Posidonia oceanica shoot density and rhizome primary production, file 24087159-55a3-4747-8b3e-34effca5d0f6
|
12
|
|
An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models, file 71f5ec15-0d9b-4005-8e21-cac54a78bbf8
|
10
|
|
Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information, file 3078330e-3779-4e3d-a23b-b4b3e2c7688c
|
9
|
|
Population status, distribution and trophic implications of Pinna nobilis along the South-eastern Italian coast, file 9d572a23-b959-418c-b733-24b5f6ff938d
|
9
|
|
Quantifying the impact of linear regression model in deriving bio-optical relationships: The implications on ocean carbon estimations, file 5b606104-c1ea-4c71-b51e-697ee38b202a
|
7
|
|
Modelling the vertical distribution of phytoplankton biomass in the mediterranean sea from satellite data: A neural network approach, file 3087d499-b271-48fc-88b9-f55622021ef0
|
6
|
|
A model predicting the {PSP} toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the {NW} Adriatic Sea, file 73750571-0002-40be-8422-fa5115af4796
|
5
|
|
Modeling macroalgal forest distribution at mediterranean scale: Present status, drivers of changes and insights for conservation and management, file 3867930b-76bd-4d38-9826-ad61734ede87
|
4
|
|
Integrated Multi-Trophic Aquaculture (IMTA) system combining the sea urchin Paracentrotus lividus, as primary species, and the sea cucumber Holothuria tubulosa as extractive species, file c853ab8e-05c2-43f2-a4ae-a1f9c219b9a5
|
2
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|
Fractal dimension of Posidonia oceanica meadows for the assessment of their ecological condition, file 36b1db40-1b5b-4b94-94f7-a9062a09282a
|
1
|
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Monitoring toxic microalgae Ostreopsis (dinoflagellate) species in coastal waters of the Mediterranean Sea using molecular PCR-based assay combined with light microscopy, file e291c0d3-996c-cddb-e053-3a05fe0aa144
|
1
|
|
Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean, file e291c0d3-9a06-cddb-e053-3a05fe0aa144
|
1
|
|
A depth-resolved artificial neural network model of marine phytoplankton primary production, file e291c0d8-723e-cddb-e053-3a05fe0aa144
|
1
|
|
Integrated Multi-Trophic Aquaculture (IMTA) system combining the sea urchin Paracentrotus lividus, as primary species, and the sea cucumber Holothuria tubulosa as extractive species, file e291c0da-02a8-cddb-e053-3a05fe0aa144
|
1
|
| Totale |
12575 |