Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- bc9db7d0-c758-4202-995d-d6fef9df847d description "This figure shows all the services used within the RELIANCE project and how they are used together to build a user environment for Open Science and FAIR" assertion.
- 9b6b3145-db7c-4c38-ad4a-eeb0a8dc44f3 description "In the demo, a new executable Research Object is created with all the aggregated resources it uses e.g. input data from the ADAM datacube, outputs generated such as figures and intermediate results and the Jupyter notebook itself." assertion.
- 9b6b3145-db7c-4c38-ad4a-eeb0a8dc44f3 description "In the demo, a new executable Research Object is created with all the aggregated resources it uses e.g. input data from the ADAM datacube, outputs generated such as figures and intermediate results and the Jupyter notebook itself." assertion.
- 9b6b3145-db7c-4c38-ad4a-eeb0a8dc44f3 description "In the demo, a new executable Research Object is created with all the aggregated resources it uses e.g. input data from the ADAM datacube, outputs generated such as figures and intermediate results and the Jupyter notebook itself." assertion.
- zenodo.5906803 description "This demo shows what we have achieved on Open Science and FAIR." assertion.
- zenodo.5906803 description "This demo shows what we have achieved on Open Science and FAIR." assertion.
- zenodo.5906803 description "This demo shows what we have achieved on Open Science and FAIR." assertion.
- 1lH-y14ln2w description "This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- 1lH-y14ln2w description "This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- 1lH-y14ln2w description "This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- 36QuVTGJSds description "Video on extending the Reliance community. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- 36QuVTGJSds description "Video on extending the Reliance community. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- 36QuVTGJSds description "Video on extending the Reliance community. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- w39xvNrqTR8 description "Video on Reliance services for EOSC. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- w39xvNrqTR8 description "Video on Reliance services for EOSC. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- w39xvNrqTR8 description "Video on Reliance services for EOSC. This is a video that is part of a video series of 3 videos on Youtube explaining the RELIANCE project" assertion.
- w39xvNrqTR8 description "A short video to introduce the 3 RELIANCE services. RoHUB is a Research Object web portal to create and manage Research Objects. Text mining service aims at enriching Research Objects (AI service). And the ADAM platform is a datacube service that enables efficient access to large amount of Earth Observation data such as Copernicus Satellite observations." assertion.
- 01f1cd4f-f633-4d1e-afc7-c3e7e80707fd description "A demo given at the 3RD ESFRI-EOSC WORKSHOP ON RIS AND EOSC to show what the RELIANCE project has achieved on Open Science, FAIR and EOSC practice. Click on the links in the Research Object to access its different elements. The main resource of this Research Object is a video published on zenodo: https://doi.org/10.5281/zenodo.5906803" assertion.
- 110430fe-040d-4e65-ae38-bcacc8f8ecf4 description "Outputs generated" assertion.
- eb43e18b-c1f9-4824-972c-afe639e848a8 description "Folder where we will add links to documentation." assertion.
- b982c99a-2d1f-423e-b54f-a25813f45557 description "This figure shows all the services used within the RELIANCE project and how they are used together to build a user environment for Open Science and FAIR" assertion.
- Open_science description "open science wiki" assertion.
- 7997fd76-83f9-4e94-bfe7-f4677a6cd787 description "Automatic Identification System (AIS) - Ships positions - download - 12nm from baseline Data set from the Norwegian Coastal Administration Data can be downloaded directly from https://ais-public.kystverket.no/ais-download/ (free registration)." assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 description "This Research Object gathers information about publicly available AIS datasets." assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a description "This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset." assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a description "Research Object with sample AIS data (in-situ)" assertion.
- dryad.5qg30sd description "Estimating impacts of offshore windfarm construction on marine mammals requires data on displacement in relation to different noise levels and sources. Using echolocation detectors and noise recorders, we investigated harbour porpoise behavioural responses to piling noise during the 10-month foundation installation of a North Sea windfarm. Current UK guidance assumes total displacement within 26 km of pile driving. In contrast, we recorded a 50 % probability of response within 7.4 km (95 % CI = 5.7 – 9.4) at the first location piled, decreasing to 1.3 km (95 % CI = 0.2 – 2.8) by the final location; representing 28 % (95 % CI = 21 – 35) and 18 % (95 % CI = 13 – 23) displacement of individuals within 26 km. Distance proved as good a predictor of responses as audiogram weighted received levels, presenting a more practicable variable for environmental assessments. Critically, acoustic deterrent device (ADD) use and vessel activity increased response levels. Policy and management to minimise impacts of renewables on cetaceans have concentrated on pile-driving noise. Our results highlight the need to consider trade-offs between efforts to reduce far-field behavioural disturbance and near-field injury through ADD use." assertion.
- zenodo.3754481 description "The schema of the dataset is provided below: · t: the time at which the message was received (UTC) · shipid: the anonymized id of the ship · lon: the longitude of the current ship position · lat: the latitude of the current ship position · heading: (see: https://en.wikipedia.org/wiki/Course_(navigation)) · course: the direction in which the ship moves (see: https://en.wikipedia.org/wiki/Course_(navigation)) · speed: the speed of the ship (measured in knots) · shiptype: AIS reported ship-type · destination: AIS reported destination" assertion.
- zenodo.5718284 description "Environmental and AIS data collected during the second phase of EUMR TNA experiments using the CMRE LOON testbed. Environmental data consists of temperature measured across the water column; sound velocity measured close to the surface and close to the sea bottom; meteorological data at the surface (i.e., pressure, temperature, wind speed and direction, humidity and rain). The environmental dataset is complemented with Automatic Identification System (AIS) data for the ships transiting close to the LOON area (Gulf of La Spezia, Italy)." assertion.
- zenodo.6323416 description "The advent of Big Data and streaming technologies has resulted in a swarm of voluminous, heterogeneous information, especially in the domains of Internet of Things (IoT) and transportation. Focusing on the maritime field, we present a dataset that contains vessel position information transmitted by vessels of different types and collected via the Automatic Identification System (AIS). The AIS dataset comes along with spatially and temporally correlated data about the vessels and the area of interest, including weather information. It covers a time span of over 2.5 years, from May 9th, 2017 to December 26th, 2019 and provides anonymised vessel positions within the wider area of the port of Piraeus (Greece), one of the busiest ports in Europe and worldwide. The dataset consists of over 244 million AIS records, an average of more than 10,000 records per hour, which makes it an ideal input for large-scale mobility data processing and analytics purposes." assertion.
- zenodo.6402160 description "With an ever-increasing number of vessels at sea, the modelling, analysis and visualisation of maritime traffic are of paramount importance to support the monitoring tasks of maritime stakeholders. Sensors have been developed in this respect to track vessels and capture the maritime traffic at the global scale. The Automatic Identification System (AIS) is transmitting maritime positional and nominative information at highest frequency rate, making it a valuable source for maritime traffic modelling. From an original AIS dataset covering the area of Brest, France, we extracted a set of 17 maritime routes, connecting ports in this area. Two different representations for the routes are provided: (1) clusters of AIS contacts, and (2) route prototypes, representing the nominal trajectory of the vessels following the route. Additionally, a set of tracklets (built by five consecutive AIS contacts from the same vessel trajectory) has been extracted from the set of routes and the original dataset, and labelled either with the route name to which they belong or as off-route tracklets. This dataset provides thus some ground truth on the routes followed by vessels and is aimed at testing and validating vessel-to-route or track-to-route association algorithms." assertion.
- Automatic_identification_system description "Definition of Automatic Identification System (AIS) given by Wikipedia." assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a description "Facing an increasing amount of movements at sea and daily impacts on ships, crew and our global ecosystem, many research centers, international organizations, industrials have favored and developed sensors, detection techniques for the monitoring, analysis and visualization of sea movements. Automatic Identification System (AIS) is one of these electronic systems that enable ships to broadcast their dynamic (position, speed, destination...) and static (name, type, international identifier…) information via radio communications. Having spatially and temporally aligned maritime dataset relying not only on ships' positions but also on a variety of complementary data sources is of great interest for the understanding of maritime activities and their impact on the environment. This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset." assertion.
- j.dib.2019.104141 description "Facing an ever-increasing amount of traffic at sea, many research centres, international organisations, and industrials have favoured and developed sensors together with detection techniques for the monitoring, analysis, and visualisation of sea movements. The Automatic Identification System (AIS) is one of the electronic systems that enable ships to broadcast their position and nominative information via radio communication. In addition to these systems, the understanding of maritime activities and their impact on the environment also requires contextual maritime data capturing additional features to ships' kinematic from complementary data sources (environmental, contextual, geographical, …). The dataset described in this paper contains ship information collected through the AIS, prepared together with spatially and temporally correlated data characterising the vessels, the area where they navigate and the situation at sea. The dataset contains four categories of data: navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ship positions over the Celtic sea, the North Atlantic Ocean, the English Channel, and the Bay of Biscay (France). The dataset is proposed for an easy integration with relational databases." assertion.
- 3003421.3003423 description "The main objectives of moving objects queries are to search for objects that either lie in some specific areas (i.e., range queries) or are close to one specific location (i.e., kNN queries). Such queries have been previously studied considering either offline database processes using some index techniques or online approaches where incoming data are processed to answer those queries "on the fly". The research presented in this paper considers hybrid queries applied to historical data as well as streaming data. When considering the specific context of the maritime domain and moving objects at sea, a key issue is to make a difference between covered and non covered areas (i.e., regions from where AIS positioning signals are either received or not received). This leads us to introduce the concept of "Black Holes" query where the objective is to identify regions respectively covered and non covered, this providing useful insights for maritime authorities in charge of the regulation of maritime transportation." assertion.
- zenodo.1167595 description "This dataset contains ships' information collected though the Automatic Identification System, integrated with a set of complementary data having spatial and temporal dimensions aligned. The dataset contains four categories of data: Navigation data, vessel-oriented data, geographic data, and environmental data. It covers a time span of six months, from October 1st, 2015 to March 31st, 2016 and provides ships positions within Celtic sea, the Channel and Bay of Biscay (France). The dataset is proposed with predefined integration and querying principles for relational databases. These rely on the widespread and free relational database management system PostgreSQL, with the adjunction of the PostGIS extension, for the treatment of all spatial features proposed in the dataset." assertion.
- zenodo.1182538 description "For an efficient and advanced spatio-temporal analysis, reported information of vessels locations and behaviours must be cross checked with others and cartographical data. Amongst cartographical information, the International Hydrographic Organisation (IHO) defined a vector interchange format used for maritime charts. From this format (S-57 or its revision S-100) ensues the ENC (Electronic Nautical Chart) product specification use in electronic chart display and traffic control visualisation. It provides a data structure and format that are used to implement a data model and characterises spatial entities and geometrical primitives. The dataset labelled 10.5281/zenodo.1167595 contains ships' information collected though the Automatic Identification System (AIS), prepared together with a set of related data having spatial and temporal dimensions aligned. This technical note provides additional information for the integration of S57 nautical charts in this dataset." assertion.
- edit?usp=sharing description "Poster on experiences from the NICEST2 project for NeIC All hands meeting 2023." assertion.
- plan.html description "Link to the NICEST2 project plan." assertion.
- intro.html description "Training material on containers for ESM. This training material uses the Norwegian Earth System Model (NorESM) and has been delivered in 2021 as part of the NorESM user meeting." assertion.
- nicest2-fair-hackathon description "First NICEST2 hackathon to understand the FAIR concept and how they can apply to the Nordic Earth System Modelling Community." assertion.
- e7c5bfac-0e6a-4691-9e52-f86975732218 description "Overview of the NICEST2 project and reflection on the successes, failures and possible improvements for follow-up projects." assertion.
- 2181f5bc-d86a-49e1-ac55-7b26b3603b23 description "Folder containing training material developed and delivered within the NICEST2 projects (either as training or hackathons)." assertion.
- 6dcf8f52-8b25-4ca0-8533-16b7b895cec0 description "This folder contains NICEST2 deliverables." assertion.
- 1b39529d-2d71-40a1-a360-9dea10a65d72 description "Overall view of the NICEST2 poster for the NeIC all-hands meeting. It is mostly used for the sketch." assertion.
- zenodo.4749515 description "Report on the bottlenecks that would hinder the efficient usage of Nordic ESMs on EuroHPC and possible remediation actions (I/Os, adding GPU support, etc.) with clear information on costs in terms of manpower. ESMs used in the Nordic countries are clearly not ready for EuroHPC and very little dedicated funding from the scientific community is used for porting existing codes to future architectures. Providers have hired several specialists to support the scientific community but the commitment from the scientific community is not there. Exchange of knowledge of involved staff (scientists, RSEs, technical support) would be very helpful. For instance, being able to organize meetings/hackathons (online or face to face) with both experts from NorESM and EC-EARTH has been highlighted as an important requirements by those involved in the GPU hackathon. Code refactoring and best software practices are the most important component for efficient usage of new architecture, including EuroHPC." assertion.
- zenodo.4944686 description "This report summarizes the first NICEST2 hackathon with FAIR experts and Earth System Model specialists to understand what needs to be done to make climate data FAIR. It will help us to define our roadmap for FAIR Climate in the Nordics." assertion.
- zenodo.5571344 description "The Earth System Model Evaluation Tool (ESMValTool) is a community diagnostics and performance metrics tool for the evaluation of Earth system Models (ESMs) that is not widely used in the Nordics yet. A hackathon/workshop was held on March 12, 2021 as a joint event between the INES, NICEST2 and IS-ENES3 projects. During this hackathon, we identified the needs for specific diagnostics for the Nordics that could help researchers to diagnose strengths and deficiencies of current ESMs. We also discussed how to better organize access to data and share resources within the Nordics." assertion.
- zenodo.5571416 description "The Nordic climate modeling community consists of research groups at universities, national meteorological institutes and research institutes, and holds demonstrable world class excellence in the field. Several of these groups contribute to the development of both global and regional climate models (GCMs and RCMs,respectively) in international projects with collaborations within Europe and the US. However, many users, including PhDs and postdocs, are developing and/or running Earth System Models (ESMs) for more fundamental scientific research and sensitivity studies, and/or cross-disciplinary research (economy & climate, biodiversity, etc.) and they do not always benefit from the advances, technologies or resources leveraged by these large projects/consortiums. One concrete example is IS-ENES project (https://is.enes.org/) where only one university, namely Linköpings Universitet (not part of the NICEST2 consortium) from the Nordics is involved; Nordic contributions are mostly from Meteorological services and Research Institutes. From a practical point of view this translates in a lot of time/energy wasted “reinventing the wheel”, repeated simulations, lack of transparency, suboptimal use of the infrastructures, etc. In this context, supporting these researchers and realizing the benefits of Open Science and EOSC are our priorities within NICEST2 and WP4." assertion.
- parting-the-sea-to-save-venice description "The natural-color Landsat images above show some of the MOSE engineering efforts that are visible above the water line near the Lido Inlet. The top image was acquired on June 20, 2000, by the Enhanced Thematic Mapper+ on Landsat 7. The second image, from the Operational Land Imager on Landsat 8, was collected on September 4, 2013. Turn on the image comparison tool to make the changes easier to see. (Note that Landsat 8 has a greater dynamic range than Landsat 7, so the Landsat 8 image is crisper the Landsat 7 image.)" assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa description "This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model." assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 description "The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 description "In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation." assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf description "In this study, we focusing on understanding changes in air and water quality during the Covid-19 lockdown in the Venice Lagoon. We are re-using existing Research Objects, and in particular Jupyter Notebooks that were created in previous studies." assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 description "## Description Jupyter Notebook to analyse the changes in NO2 during the Covid-19 Lockdown in the Venice Lagoon. Datasets are from Copernicus Atmosphere Monitoring Forecasts and in-situ measurement for water quality." assertion.
- 49c08d71-ef52-4ae1-9ddb-cd43bc204d84 description "Dataset shows monthly values and error bars." assertion.
- 885820ec-21c6-4045-96cd-716e2ae42102 description "Compare air quality and water quality in the Venice Lagoon for two different dates." assertion.
- 9777f9c8-388f-49e7-b027-a1dc933c2398 description "Bar plot showing NO2 averaged between March and June for 2019 and 2020. The goal is to compare values before and during the covid-19 lockdown." assertion.
- da17f3c5-cc88-46fe-bd6e-3e7c278f8df0 description "The goal is to compare values of NO2 water quality before and during the covid-19 lockdown." assertion.
- c2c64bf9-7625-4442-9ca9-dcd978b1d38b description "Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown" assertion.
- 10.1016%2Fj.marpolbul.2021.112124 description "Reduction in the impact of human-induced factors is capable of enhancing the environmental health. In view of COVID-19 pandemic, lockdowns were imposed in India. Travel, fishing, tourism and religious activities were halted, while domestic and industrial activities were restricted. Comparison of the pre- and post-lockdown data shows that water parameters such as turbidity, nutrient concentration and microbial levels have come down from pre- to post-lockdown period, and parameters such as dissolved oxygen levels, phytoplankton and fish densities have improved. The concentration of macroplastics has also dropped from the range of 138 ± 4.12 and 616 ± 12.48 items/100 m2 to 63 ± 3.92 and 347 ± 8.06 items/100 m2. Fish density in the reef areas has increased from 406 no. 250 m−2 to 510 no. 250 m−2. The study allows an insight into the benefits of effective enforcement of various eco-protection regulations and proper management of the marine ecosystems to revive their health for biodiversity conservation and sustainable utilization." assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc description "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G description "CAMS NITROGEN DIOXIDE" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G description "CAMS OZONE" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
- full description "Although all the technical components supporting fully orchestrated Digital Twins (DT) currently exist, what remains missing is a conceptual clarification and analysis of a more generalized concept of a DT that is made FAIR, that is, universally machine actionable. This methodological overview is a first step toward this clarification. We present a review of previously developed semantic artifacts and how they may be used to compose a higher-order data model referred to here as a FAIR Digital Twin (FDT). We propose an architectural design to compose, store and reuse FDTs supporting data intensive research, with emphasis on privacy by design and their use in GDPR compliant open science." assertion.
- c797fdc7-0330-45de-8970-fedf5ee89cb1 description "Bibliography and other related articles and documents of interest for the Destination Earth Initiative." assertion.
- 1b43f352-a63c-4476-8ba7-8379e1dbde75 description "Web article about the collaboration between CINECA and the Destination Earth initiative for the adoption of new HPC technologies." assertion.
- 3ca945fa-c503-45bf-8d3d-930bdb0651c9 description "5 pillars for realising Destination Earth" assertion.
- 8d7ce936-46bc-4023-b06f-2198580f3802 description "Presentation given at ECMWF by Shainer Graham" assertion.
- 871a1786-bc6a-4e60-a160-3f57e3869d35 description "This Research Object aggregates all the different Research Objects and resources used for presenting the Environmental Data Science Book at AGU 2022. The Environmental Data Science book is a living, open and community-driven online resource to showcase and support the publication of data, research and open-source tools for collaborative, reproducible and transparent Environmental Data Science. The Environmental Data Science is: a book a community a global collaboration We target to make sense of: environmental systems environmental data and sensors innovative research in Environmental Data Science open-source tools for Environmental Data Science We hope you find the content in the resource helpful. The resource and executable notebooks are free under a CC-BY licence and OSI-approved MIT license, respectively." assertion.
- 4a2af672-c0f3-46f3-8eca-bdf08c8a1b8d description "Research Object demonstrating sea ice forecasting using IceNet. The corresponding Jupyter Notebook has been published in the Environmental Data Science book." assertion.
- 632fe6e6-78fc-4b1b-8c5f-0b991e854cf9 description "Open science communities are pushing the boundaries of how we approach scientific research. With advancements in computing, software, and data management, the tools are available to transform science into a truly open, collaborative, and inclusive space. By following open science practices, we can increase accessibility of scientific research and findings, improve collaboration, and facilitate high quality, reproducible science. This session will showcase success stories in the Earth and space sciences and highlight a range of open science platforms, datasets, and computational tools. Join this session for real-world examples of how open science practices have empowered and enabled scientists across disciplines to carry out successful research projects." assertion.
- 7a09c382-3acd-4ee5-af4a-896b78da763a description "This research object is a fork from RO examplifying Sea ice forecasting using IceNet notebook published in the Environmental Data Science book. Its main purpose is to show how to make derivative work and keep all the history of contributions and contributors." assertion.
- 89f226c9-2b9b-4921-a3a5-e9f24bf82b64 description "Recording of the presentation given at AGU2022." assertion.
- 4691cb04-70c5-4c7b-aa76-65850ddd509c description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 15fac8f9-b9ec-4a0e-8d60-6d9563ecdd60 description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- 2b2bbff5-3a54-42f5-9889-123bacb66828 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.
- 551e4e13-b14a-42fe-b654-788dd2fa2220 description "Some examples of output files" assertion.
- 9424b92f-ac08-4c1d-b702-49f33508a9ca description "Map of stations with their coordinates" assertion.
- 94c1d183-c6a0-44db-8ec7-262cb699e822 description "The Jupyter notebook used to post process SPLs data and to create graphs/tables." assertion.
- c9bf4fa6-e56f-4ea4-b9ea-cd73c2c5fc26 description "20 and 60 seconds SPLs dataset" assertion.
- ca7bd76d-d492-45cd-a23a-1d7fb5903ca7 description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- dd76312c-945d-461f-9719-17d5abc73df6 description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to open the file in Notebooks, an environment based on Jupyter and the EGI cloud service: It allows to post process SPLs data and to create graphs/tables. A valid EGI account is required." assertion.
- SPL_PostProcessing_HDF5.ipynb description "Link to EGI Jupyer HUB: It allows to post process spl data and to create graphs/tables" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- continuous description "Continuous Noise Database (https://underwaternoise.ices.dk/continuous), 2022. ICES, Copenhagen" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- soundscape description "EU-Interreg Italy-Croatia 2014/2020 – CBC Program (Contract number 10043643)" assertion.
- 2f352829-b3e1-45f3-99f2-786c52587485 description "This RO provides the Jupyter notebook used to post process the Sound Pressure Levels (SPLs) data obtained within the Soundscape Project - SOUNDSCAPES IN THE NORTH ADRIATIC SEA AND THEIR IMPACT ON MARINE BIOLOGICAL RESOURCES (https://www.italy-croatia.eu/web/soundscape) where more of 1 year of continuos underwater noise data (march 2020 - june 2021) were recorded." assertion.
- 30ecc79b-fa5a-4f52-9e0c-043b972cc852 description "Map of stations with their coordinates" assertion.
- 5864b820-e87b-453e-974f-1c1046ce8156 description "Some examples of output files" assertion.
- 9b4f23a4-edd7-4088-b7f1-d750dc89af89 description "Example of SPLs input file. HDF5 format, according to to ICES (International Council for the Exploration of the Sea) continuous noise data portal specification (https://www.ices.dk/data/data-portals/Pages/Continuous-Noise.aspx)." assertion.
- f18af8df-aeb1-4c4e-9334-da5557f6b4ea description "The Jupyter notebook used to post process SPLs data and to create graphs/tables." assertion.
- zenodo.7472152 description "20 and 60 seconds SPLs dataset" assertion.
- 73e65f3b-c8eb-4aca-b7dc-af81e4ec9b4a description "This presentation has been given at the Data Managers Network meeting on Tuesday 22 November 2022. The topic of the meeting was "EOSC in practise" where different speakers gave their perspectives and experience with involvement in EOSC." assertion.
- 2cc72630-5f90-4284-9f30-ce8b647935b2 description "1st slide of Anne Fouilloux's presentation." assertion.
- 5c0b4dc8-8ddc-4377-8e10-88022bd34ddf description "Slides for Anne Fouilloux's presentation at UiO Data Manager Meeting on EOSC in practise." assertion.