Erddap: Providing Easy Access to Remote Sensing Data for Scientists and Students

Wilson, Cara; Robinson, David L.; Simons, Robert A.

doi:10.1109/igarss39084.2020.9323962

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…All layers were archived as NetCDF (network Common Data Form) and deposited into an ERDDAP (Environmental Research Division's Data Access Program) server to facilitate filtering and downloading of the layers in common data formats (Wilson et al., 2020). Additionally, Python (pyo_oracle) and R (biooracler) packages were developed for facilitated data retrieval and improved integration in available frameworks of bioclimatic modelling (Naimi & Araújo, 2016; Thuiller et al., 2009).…”

Section: Marine Data Layersmentioning

confidence: 99%

“…In this scope, the availability of the Shared Socioeconomic Pathway scenarios, comprising the mitigation strategies of the Paris Agreement, coupled with the ensemble of multiple ESMs, allows supporting international climate policies and agendas (Martins et al., 2021). The increased interoperability via the ERDDAP data server (Wilson et al., 2020) opens the door for Bio‐Oracle to be used in digital twinning, such as the European Digital Twin of the Ocean, or private initiatives like the Microsoft Planetary Computer. This aligns with the United Nations Decade of Ocean Science for Sustainable Development, which aims to boost the development of Digital Twins of the Ocean for supporting blue growth and global governance.…”

Section: Usage Notesmentioning

confidence: 99%

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Bio‐ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research

Assis,

Fernández Bejarano,

Salazar

et al. 2024

Global Ecol Biogeogr

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MotivationImpacts of climate change on marine biodiversity are often projected with species distribution modelling using standardized data layers representing physical, chemical and biological conditions of the global ocean. Yet, the available data layers (1) have not been updated to incorporate data of the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6), which comprise the Shared Socioeconomic Pathway (SSP) scenarios; (2) consider a limited number of Earth System Models (ESMs), and (3) miss important variables expected to influence future biodiversity distributions. These limitations might undermine biodiversity impact assessments, by failing to integrate them within the context of the most up‐to‐date climate change projections, raising the uncertainty in estimates and misinterpreting the exposure of biodiversity to extreme conditions. Here, we provide a significant update of Bio‐ORACLE, extending biologically relevant data layers from present‐day conditions to the end of the 21st century Shared Socioeconomic Pathway scenarios based on a multi‐model ensemble with data from CMIP6. Alongside, we provide R and Python packages for seamless integration in modelling workflows. The data layers aim to enhance the understanding of the potential impacts of climate change on biodiversity and to support well‐informed research, conservation and management.Main Types of Variable ContainedSurface and benthic layers for, chlorophyll‐a, diffuse attenuation coefficient, dissolved iron, dissolved oxygen, nitrate, ocean temperature, pH, phosphate, photosynthetic active radiation, total phytoplankton, total cloud fraction, salinity, silicate, sea‐water direction, sea‐water velocity, topographic slope, topographic aspect, terrain ruggedness index, topographic position index and bathymetry, and surface layers for air temperature, mixed layer depth, sea‐ice cover and sea‐ice thickness.Spatial Location and GrainGlobal at 0.05° resolution.Time Period and GrainDecadal from present‐day to the end of the 21st century (2000–2100).Major Taxa and Level of MeasurementMarine biodiversity associated with surface and epibenthic habitats.Software FormatA package of functions developed for Python and R software.

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Section: Marine Data Layersmentioning

confidence: 99%

Section: Usage Notesmentioning

confidence: 99%

Bio‐ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research

Assis,

Fernández Bejarano,

Salazar

et al. 2024

Global Ecol Biogeogr

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“…Submitted reports and their elaboration will be converted into an ERDDAP (a well established open-source data platform [11]) accepted format to promote data diffusion. The overall system will be kept alive after the timeframe of the projects involved to provide a valuable tool for reporting anomalous events or of particular interest that may occur at sea or coastal areas.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

A mobile crowdsensing app for improved maritime security and awareness

Moroni

Pieri

Reggiannini

et al. 2022

2022 IEEE International Conference on Pervasive Computing and Communications Workshops and Other Affiliated Events (PerCom Work

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The marine and maritime domain is well represented in the Sustainable Development Goals (SDG) envisaged by the United Nations, which aim at conserving and using the oceans, seas and their resources for sustainable development. At the same time, there is a need for improved safety in navigation, especially in coastal areas. Up to date, there exist operational services based on advanced technologies, including remote sensing and in situ monitoring networks which provide aid to the navigation and control over the environment for its preservation. Yet, the possibilities offered by crowdsensing have not yet been fully explored. This paper addresses this issue by presenting an app based on a crowdsensing approach for improved safety and awareness at sea. The app can be integrated into more comprehensive systems and frameworks for environmental monitoring as envisaged in our future work.

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Blue-cloud DAB: developing a platform to harmonize, assess and disseminate marine metadata collections

Boldrini,

Roncella,

Papeschi

et al. 2024

Int J Data Sci Anal

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The integration and harmonization of marine data from diverse sources are vital for advancing global oceanographic research and ensuring seamless discovery and access of critical datasets. This paper presents a comprehensive analysis of the metadata harmonization efforts within the Blue-cloud 2026 project, which brokers data from numerous Blue Data Infrastructures (BDIs), leveraging the Discovery and Access Broker technology. The platform enables discovery and analysis of marine data collections while facilitating interoperability with other components of the marine digital ecosystem, such as virtual laboratories and the Semantic Analyzer. It also supports the flow of Blue-cloud information to other initiatives like the Global Earth Observations System of Systems. For data managers, the findings emphasize the importance of enhancing metadata quality, revealing discrepancies in core metadata elements, and the need for more consistent use of controlled vocabularies. For cyberinfrastructure developers, the study details the challenges of accommodating a wide array of interfaces from different data systems, highlighting the adoption of an extensible brokering architecture that harmonizes metadata models and protocols. The study also emphasizes the importance of metadata analysis in ensuring effective searches for end users, highlighting challenges in aggregating diverse sources, where data providers may have structured the content with different objectives compared to those of the system of systems. End users will gain insights into the current metadata content of Blue-cloud, enabling them to search and access data from multiple BDIs with an understanding of the technical complexities behind the scenes.

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Erddap: Providing Easy Access to Remote Sensing Data for Scientists and Students

Cited by 4 publications

References 2 publications

Bio‐ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research

Bio‐ORACLE v3.0. Pushing marine data layers to the CMIP6 Earth System Models of climate change research

A mobile crowdsensing app for improved maritime security and awareness

Blue-cloud DAB: developing a platform to harmonize, assess and disseminate marine metadata collections

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