Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RAeTGIgzxGcrmWX8ShbtyYc6dN0CxVQmIaTZrIgwF5M9M/assertion>. }
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 type DataResearchObject assertion.
- Automatic_identification_system type Document assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 type ResearchObject assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a type ResearchObject assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 type LiveRO assertion.
- 1ad57e4e-8b6b-4950-aa09-5a6af102456a type Folder assertion.
- 69d86bee-681e-41dc-a90a-3b9eae647aa0 type Folder assertion.
- 06b5aca1-a83d-4c1f-a8d4-870857723913 type Lemma assertion.
- 29e289cf-e0d5-475d-928b-ed67277dfd4e type Lemma assertion.
- 48a3e057-a1c5-4877-a07b-bbf83c589652 type Lemma assertion.
- f3e26cab-b159-4e5e-ba11-c80ca2a96591 type Lemma assertion.
- 7997fd76-83f9-4e94-bfe7-f4677a6cd787 type Dataset assertion.
- dryad.5qg30sd type Dataset assertion.
- zenodo.3754481 type Dataset assertion.
- zenodo.5718284 type Dataset assertion.
- zenodo.6323416 type Dataset assertion.
- zenodo.6402160 type Dataset assertion.
- 7997fd76-83f9-4e94-bfe7-f4677a6cd787 type Resource assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a type Resource assertion.
- dryad.5qg30sd type Resource assertion.
- zenodo.3754481 type Resource assertion.
- zenodo.5718284 type Resource assertion.
- zenodo.6323416 type Resource assertion.
- zenodo.6402160 type Resource assertion.
- Automatic_identification_system type Resource assertion.
- 1586af9e-670d-46d5-b125-a835932de65c type Concept assertion.
- 277fedf7-f220-4a19-a006-15c0b2a69f66 type Concept assertion.
- 7e37d1e4-e3c9-4cac-978c-db44ff542868 type Concept assertion.
- a1fd8d24-ddea-4597-9b97-98e31a33e47f type FieldOfResearch assertion.
- b073e3ca-7592-484f-864c-1cddff7aad26 type FieldOfResearch assertion.
- 70abc21d-6f7d-404b-80df-ec3c29ac7168 type IPTC assertion.
- 6580db5a-e6ea-4421-829c-746ee2df1768 type NASA assertion.
- b3e8b5dc-7177-4ae9-b272-c8f333d93cc5 type NASA assertion.
- 161b1b17-b96a-4d51-8e28-6e96d7d5a827 type Phrase assertion.
- 3446b5a0-7c01-4680-9358-da07a30dde8d type Phrase assertion.
- 82eda5f9-2fd5-4b15-a0eb-daeafc9a65bd type Phrase assertion.
- 90567922-3c8b-4180-86fa-c413dc6ba4f8 type Phrase assertion.
- 995840ca-23e8-4959-bfa3-6837fc48395a type Phrase assertion.
- 43f87d40-16e1-42fb-9437-4e4442933a83 type Sentence assertion.
- 5d3499e2-f863-4d33-999e-de9f9eda165d type Sentence assertion.
- 3949 type DefinedTerm assertion.
- ro-crate-metadata.json type CreativeWork assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 type Dataset assertion.
- 1ad57e4e-8b6b-4950-aa09-5a6af102456a type Dataset assertion.
- 69d86bee-681e-41dc-a90a-3b9eae647aa0 type Dataset assertion.
- 7997fd76-83f9-4e94-bfe7-f4677a6cd787 type MediaObject assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a type MediaObject assertion.
- dryad.5qg30sd type MediaObject assertion.
- zenodo.3754481 type MediaObject assertion.
- zenodo.5718284 type MediaObject assertion.
- zenodo.6323416 type MediaObject assertion.
- zenodo.6402160 type MediaObject assertion.
- Automatic_identification_system type MediaObject assertion.
- 00vn06n10 type Organization assertion.
- faf24550-e757-429d-a522-b44933a1d725 type community assertion.
- mailto:service-account-enrichment type Agent assertion.
- 0000-0001-6489-8858 type Agent assertion.
- 0000-0002-7715-7052 type Agent assertion.
- 00vn06n10 type Agent assertion.
- 0000-0002-1784-2920 type Agent assertion.
- 3949 description "" 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.
- 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.
- 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.
- 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.
- 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.
- Automatic_identification_system description "Definition of Automatic Identification System (AIS) given by Wikipedia." 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.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 description "This Research Object gathers information about publicly available AIS datasets." 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.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 contentSize "22052" assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 contributor 0000-0001-6489-8858 assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 contributor 0000-0002-7715-7052 assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 dateCreated "2023-01-19 20:52:56.511892+00:00" assertion.
- 88fba8bd-f2f0-402e-8147-b73b71e8691a dateCreated "2023-01-19 20:59:22.716386+00:00" assertion.
- Automatic_identification_system dateCreated "2023-03-18 15:36:32.417130+00:00" assertion.
- zenodo.5718284 dateCreated "2023-03-18 15:41:41.912053+00:00" assertion.
- zenodo.3754481 dateCreated "2023-03-18 15:45:43.141299+00:00" assertion.
- dryad.5qg30sd dateCreated "2023-03-18 15:48:46.831143+00:00" assertion.
- zenodo.6402160 dateCreated "2023-03-18 15:50:58.144079+00:00" assertion.
- zenodo.6323416 dateCreated "2023-03-18 15:53:28.368823+00:00" assertion.
- 7997fd76-83f9-4e94-bfe7-f4677a6cd787 dateCreated "2023-03-18 16:04:04.650396+00:00" assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 creation_mode "MANUAL" assertion.
- 0000-0002-1784-2920 orcid "0000-0002-1784-2920" assertion.
- 0000-0001-6489-8858 orcid "0000-0001-6489-8858" assertion.
- 0000-0002-7715-7052 orcid "0000-0002-7715-7052" assertion.
- 0b1fcfe6-ab98-4df7-be19-e952de9776c6 cite-as "Fouilloux, Anne, Jørgen Schartum Dokken, and Thomas Roehr. "AIS public datasets." ROHub. Jan 19 ,2023. https://w3id.org/ro-id/0b1fcfe6-ab98-4df7-be19-e952de9776c6." assertion.
- 6580db5a-e6ea-4421-829c-746ee2df1768 normScore "100.0" assertion.
- a1fd8d24-ddea-4597-9b97-98e31a33e47f normScore "100.0" assertion.
- b073e3ca-7592-484f-864c-1cddff7aad26 normScore "100.0" assertion.
- b3e8b5dc-7177-4ae9-b272-c8f333d93cc5 normScore "100.0" assertion.
- 06b5aca1-a83d-4c1f-a8d4-870857723913 normScore "17.203219315895375" assertion.
- 82eda5f9-2fd5-4b15-a0eb-daeafc9a65bd normScore "2.80561122244489" assertion.
- 90567922-3c8b-4180-86fa-c413dc6ba4f8 normScore "27.45490981963928" assertion.
- 43f87d40-16e1-42fb-9437-4e4442933a83 normScore "32.53253253253253" assertion.
- f3e26cab-b159-4e5e-ba11-c80ca2a96591 normScore "32.99798792756538" assertion.
- 1586af9e-670d-46d5-b125-a835932de65c normScore "40.745192307692314" assertion.
- 48a3e057-a1c5-4877-a07b-bbf83c589652 normScore "42.354124748490946" assertion.
- 995840ca-23e8-4959-bfa3-6837fc48395a normScore "5.210420841683367" assertion.
- 3446b5a0-7c01-4680-9358-da07a30dde8d normScore "5.410821643286574" assertion.