Channels - PollinERA Deliverable - D7.1 Data Management Plan :: FRELIP Discovery

Similar Items: PollinERA Deliverable - D7.1 Data Management Plan

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PollinERA Deliverable - D6.3 Project branding and website
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PollinERA Deliverable - D6.1 PEDR, incl. Communication Strategy (CS)
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Deliverable D7.1 Project management guide
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Deliverable D7.2 Data Management Plan
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Deliverable D1.1 – Policy Landscape and Needs
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Deliverable D6.1 Project branding and website
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Deliverable D6.2 Communication Plan (CP) and Plan for Exploitation & Dissemination of Results (PEDR)
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Deliverable D3.1 Best practices for Detection Attribution Modelling
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Integration of novel technology in pollinator monitoring
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WildPosh: Pan-European assessment, monitoring, and mitigation of chemical stressors on the health of wild pollinators
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RestPoll: Restoring Pollinator habitats across European agricultural landscapes based on multi-actor participatory approaches
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Well-informed future generation as a factor to control the global pollinators’ decline - media literacy for ecological way of thinking
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Data Management Books for Researchers - An Annotated Bibliography
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Monitoring plan and set of indicators to assess network effectiveness
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LifeWatch ERIC Gender Equality Plan (2025-2027)
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LifeWatch ERIC Gender Equality Plan (2025-2027)
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California Statewide Action Plan for Asian Citrus Psyllid and Huanglongbing
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Action Plan for Asian Citrus Psyllid and Huanglongbing (Citrus Greening) in California
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Development of Pea Protein Isolate‐Tannic Acid Conjugates and Their Application in O/W Emulsions at pH 3 and pH 7
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D6.2 Geospatial data products of habitat metrics derived from LiDAR point clouds at national scales for multiple countries and time periods, findable and accessible through data portals, relevant catalogues or digital repositories
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D2.1 Good practice criteria for multi-hazard forecasting (including a multidisciplinary calibration) and application limits, as enablers for risk reduction through restoration, exportable to other coasts
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Interpreting 2D-NMR spectra using Grad-CAM
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D4.3 Guidelines for building adaptation-through-restoration pathways (tested at Pilots)
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Statistical Inferences and Predictions for Areal Data and Spatial Data Fusion with Hausdorff–Gaussian Processes