Community Research and Development Information Service - CORDIS

Horizon 2020 project information and now also report summaries are available on CORDIS. All H2020 projects can be downloaded from the EU Open Data Portal .

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Results 1 - 10 of 1327
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Modelos mejores para la pesca
[RESULT IN BRIEF] Modelos mejores para la pesca
Científicos europeos han desarrollado nuevos métodos y recursos para crear modelos pesqueros más precisos y realistas que les permitan evaluar con exactitud las poblaciones de peces.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
Better models for fisheries
[RESULT IN BRIEF] Better models for fisheries
European scientists have developed new methodologies and resources to create more accurate and realistic fisheries models to enable them to accurately assess fish stocks.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
De meilleurs modèles pour les pêcheries
Des scientifiques européens ont développé de nouvelles méthodologies et des ressources pour créer des modèles de pêcheries plus précis et réalistes pour leur permettre d'évaluer avec précision les stocks de poissons.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
Doskonalsze modele dla rybołówstwa
Naukowcy europejscy stworzyli nowe metody i zasoby do opracowania dokładniejszych i bardziej realistycznych modeli rybołówstwa, które mają poprawić sposób oceny zasobów rybnych.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
Modelli migliori per l’industria ittica
Scienziati europei hanno sviluppato nuove metodologie e risorse per creare dei modelli relativi alla pesca più accurati e realistici allo scopo di rendere possibile una stima corretta degli stock ittici.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
Bessere Modelle für die Fischerei
Europäische Wissenschaftler haben neue Methoden und Ressourcen entwickelt, um genauere und realistischere Fischereimodelle zu schaffen, mit deren Hilfe sie die Fischbestände genau beurteilen können.
Programme: FP7-KBBE
Record Number: 147336
Last updated on: 2016-02-16
Available languages: DE, EN, ES, FR, IT, PL
Final Report Summary - ECOKNOWS (Effective use of ecosystem and biological knowledge in fisheries)
The ECOKNOWS project produced 36 peer-reviewed published papers and 23 articles published in non-scientific press. The project reviewed and improved model assumptions in fisheries, including e.g. features of stock-recruit models, natural mortality and species...
Programme: FP7-KBBE
Record Number: 167772
Last updated on: 2015-08-05
Effective use of ecosystem and biological knowledge in fisheries
ID: 244706
Start date: 2010-09-01, End date: 2014-08-31
The general aim of the ECOKNOWS project is to improve the use of biological knowledge in fisheries science and management. The lack of appropriate calculus methods and fear of statistical overparameterisation has limited biological reality in fisheries models. This reduces bi...
Programme: FP7-KBBE
Record Number: 95519
Last updated on: 2015-11-23
Mini robots buscan contaminantes en el agua
El agua es un recurso vital que debe ser protegido con la tecnología más avanzada. Una iniciativa financiada por la UE utilizó una red de boyas y plataformas robóticas controladas remotamente para identificar y medir contaminantes en grandes masas de agua.
Programme: FP7-ENVIRONMENT
Record Number: 90299
Last updated on: 2015-09-29
Available languages: DE, EN, ES, FR, IT, PL
Mini robots seek out water pollutants
Water is a vital resource that should be protected with the latest technology. An EU-funded initiative used a network of buoys and remotely controlled robot platforms to identify and measure pollutants in large bodies of water.
Programme: FP7-ENVIRONMENT
Record Number: 90299
Last updated on: 2015-09-29
Available languages: DE, EN, ES, FR, IT, PL
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List retrieved on: 2017-02-21