Matches in Nanopublications for { ?s <http://schema.org/description> ?o ?g. }
- a7079779-ea87-43ca-a840-a2a7a0cf246d 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.
- eb1a3994-a796-41c8-8673-80b74c6e3a81 description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
- b62e5267-8fe1-4fe1-ada2-47e484c2b107 description "Overview of the NICEST2 project and reflection on the successes, failures and possible improvements for follow-up projects." assertion.
- 11abb7ab-2460-4e5b-af6b-900db4b91209 description "This folder contains NICEST2 deliverables." assertion.
- 276acff4-68ff-400d-85a2-097207db5a84 description "Folder containing training material developed and delivered within the NICEST2 projects (either as training or hackathons)." assertion.
- 12382455-7efc-4d3c-b5b8-f87a9c73731e description "Poster on experiences from the NICEST2 project for NeIC All hands meeting 2023." assertion.
- 157eb0cc-5cdb-4d27-8114-d20afdd0b12c 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.
- 233a51da-555e-4cd7-bdf7-abf520e25233 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.
- 2f28386c-47b3-4f81-af82-36c254651b43 description "First NICEST2 hackathon to understand the FAIR concept and how they can apply to the Nordic Earth System Modelling Community." assertion.
- 565cfd17-f309-4a85-9bdd-c0161f486c55 description "Overall view of the NICEST2 poster for the NeIC all-hands meeting. It is mostly used for the sketch." assertion.
- 59ce9d14-002d-43bb-97e6-8877dbeff3da 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.
- ba3dbbdc-f9a0-47c0-9780-8bb3378732b9 description "Link to the NICEST2 project plan." assertion.
- d9d2391c-f778-4bfb-bbd9-2ae1dbb8fb3d 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.
- ede5a914-2af7-46ae-a527-159247db42fb 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.
- 395893ed-5770-4027-a1ba-468b82d6de4a description "Simulations of magma injection into a shallow reservoir, driven by either buoyancy or pressure. Source code, paper, presentations." assertion.
- 4770 description "" assertion.
- 4770 description "" assertion.
- 9df7b289-2ac1-4c50-aa42-184df24dcafa description "Marine litter, in particular plastics, is a significant and growing marine contaminant that has become a global problem. Macro-litter is subject to fragmentation and degradation due to physical, chemical and biological processes, leading to the formation of micro-litter, the so-called microplastics. The purpose of this research is to evaluate the concentrations of microplastics in different environmental matrices: water, sediment and biota (i.e. mussels and fish) and to contribute to the European project MAELSTROM (Smart technology for MArinE Litter SusTainable RemOval and Management). The aim is to monitor the presence of micro-litter at two sites of the Venice coastal area: an abandoned mussel farm at sea and a lagoon site near the artificial Island of Sacca Fisola; both sites are subject to strong anthropogenic pressure. The results showed that both study areas are characterised by the presence of microplastics in all the analysed matrices and in both sites. Generally, higher microplastics concentrations were found in the Lagoon site (i.e. in surface waters, mussels and fish). Moreover, some differences were also observed in shapes and colours comparing the two sites. These differences are related to the different types of macro-litter that characterised the two areas. The distribution of marine litter is therefore related to the main anthropogenic activities of the two areas such as fishery, aquaculture, tourism and waste management." assertion.
- ais-decoder description "Library used for decoding AIS messages." assertion.
- nmea2hdf5.git description "Source code for NMEA decoding and storing into HDF5." assertion.
- d69df778-182b-4a58-b948-9e22073a7671 description "Read name AIS messages, decode and store the results in an HDF5 file to improve interoperability." assertion.
- 7d9ba129-a730-4f16-a46b-832c8dcbdb9a description "plot showing location of AIS messages from input dataset." assertion.
- nmea-sample.txt description "AIS nmea messages used for testing purposes. Examples: ``` !AIVDM,1,1,,A,13HOI:0P0000VOHLCnHQKwvL05Ip,0*23 !AIVDM,1,1,,A,133sVfPP00PD>hRMDH@jNOvN20S8,0*7F !AIVDM,1,1,,B,100h00PP0@PHFV`Mg5gTH?vNPUIp,0*3B !AIVDM,1,1,,B,13eaJF0P00Qd388Eew6aagvH85Ip,0*45 !AIVDM,1,1,,A,14eGrSPP00ncMJTO5C6aBwvP2D0?,0*7A !AIVDM,1,1,,A,15MrVH0000KH<:V:NtBLoqFP2H9:,0*2F ```" assertion.
- ais_metadata.yaml description "YAML file containing metadata information for converting this nmea input dataset into HDF5" assertion.
- requirements.txt description "requirements.txt files for Python dependencies." assertion.
- runtime.txt description "runtime info for binder" assertion.
- convert_AIS_nmea_to_HDF5.ipynb description "This Jupyter Notebook shows how to decode AIS name messages and create an HDF5 output for future processing." assertion.
- d9917937-2610-407d-bcdc-7b24d850c840 description "Presentation given at ESIP January meeting 2023 to the session entitled Bringing Cloud-Native Science "Down To Earth". For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of the January meeting is "Opening Doors to Open Science."" assertion.
- 3ad02242-fb9b-4c0d-9930-351bb7fa2daa description "Video that complements the presentation given at ESIP 23." assertion.
- 9fea9944-d499-45f5-a9aa-234ec1291e82 description "Google slides for the presentation given at ESIP 23 on ROHub (Research Object Hub)." assertion.
- d54c0cc8-39d8-4cbf-9c34-7a81dbf0cd57 description "Youtube video of the presentation given at ESIP 23 and explaining how ROHub, a Research Object Hub can be used to manage and preserve your research work, make it available and discover new knowledge." assertion.
- e744c06f-087a-4456-9007-fd130464a2ab description "Presentation given at ESIP January meeting 2023 to the session entitled Bringing Cloud-Native Science "Down To Earth". For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of the January meeting is "Opening Doors to Open Science."" assertion.
- 387f0a10-98d8-4170-ae17-6243283bd9d4 description "Youtube video of the presentation given at ESIP 23 and explaining how ROHub, a Research Object Hub can be used to manage and preserve your research work, make it available and discover new knowledge." assertion.
- 9796ec5c-1806-4380-9754-0e76945f9bae description "Video that complements the presentation given at ESIP 23." assertion.
- bringing-cloud-native-science-down-to-earth description "Link to the program of the ESIP23 session entitled "Bringing Cloud-Native Science "Down to Earth"." assertion.
- edit?usp=sharing description "Google slides for the presentation given at ESIP 23 on ROHub (Research Object Hub)." assertion.
- 7907dbf7-c03b-4e5c-b750-55410e82c5a1 description "Presentation given at ESIP January meeting 2023 to the session entitled Bringing Cloud-Native Science "Down To Earth". For over 20 years, ESIP meetings have brought together the most innovative thinkers and leaders around Earth science data, forming a community dedicated to making Earth science data more discoverable, accessible and useful to researchers, practitioners, policymakers, and the public. The theme of the January meeting is "Opening Doors to Open Science."" assertion.
- NV5VUpkL6yU description "Video that complements the presentation given at ESIP 23." assertion.
- vFS2oAk4R-I description "Youtube video of the presentation given at ESIP 23 and explaining how ROHub, a Research Object Hub can be used to manage and preserve your research work, make it available and discover new knowledge." assertion.
- quick_start.html description "Rohub API is a high-level, user-friendly Python API for working with Research Objects." assertion.
- quick_start.html description "Rohub API is a high-level, user-friendly Python API for working with Research Objects." assertion.
- quick_start.html description "Rohub API is a high-level, user-friendly Python API for working with Research Objects." assertion.
- rohub-portal-documentation description "To learn how to create new Research Object from the web interface or to explore existing Research Objects" assertion.
- rohub-portal-documentation description "To learn how to create new Research Object from the web interface or to explore existing Research Objects" assertion.
- rohub-portal-documentation description "To learn how to create new Research Object from the web interface or to explore existing Research Objects" assertion.
- 34d648b3-0014-4a19-8469-40b9380ca4c3 description "This research object details how to use the ADAM platform from a Jupyter notebook" assertion.
- 34d648b3-0014-4a19-8469-40b9380ca4c3 description "This research object details how to use the ADAM platform from a Jupyter notebook" assertion.
- 34d648b3-0014-4a19-8469-40b9380ca4c3 description "This research object details how to use the ADAM platform from a Jupyter notebook" assertion.
- 7ccf4296-0446-4813-acd4-d402f00389e6 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.
- 355c1990-38f2-4953-9a8d-8ce50d439e77 description "Outputs generated" assertion.
- dcbfc552-c96b-42ad-a307-43cbbd3696f6 description "Folder where we will add links to documentation." assertion.
- 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.
- Open_science description "open science wiki" 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.
- 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.
- 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.
- 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.
- plan.html description "Link to the NICEST2 project plan." 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.