Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/37036Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2022-03-28T12:16:18Z | - |
| dc.date.available | 2022-03-28T12:16:18Z | - |
| dc.date.issued | 2021 | - |
| dc.date.submitted | 2022-03-21T15:32:33Z | - |
| dc.identifier.citation | Zenodo. 10.5281/zenodo.4973492 https://zenodo.org/record/4973492 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/37036 | - |
| dc.description.abstract | This data set contains prediction of ten dipole localisation algorithms computed using a simulated artificial lateral line (potential flow). | - |
| dc.description.sponsorship | Sensors for LArge scale HydrodynaMic Imaging of ocean floor. European Commission. awardNumber:635568. https://doi.org/10.13039/501100000780 | - |
| dc.language.iso | en | - |
| dc.publisher | Zenodo | - |
| dc.subject.classification | Analysis of algorithms and complexity | - |
| dc.subject.classification | Visual data analysis | - |
| dc.subject.classification | General topology | - |
| dc.subject.other | hydrodynamic imaging; dipole localisation; artificial lateral line; neural networks | - |
| dc.title | Dipole localisation predictions data set | - |
| dc.type | Dataset | - |
| local.bibliographicCitation.jcat | DS | - |
| dc.description.version | 2.0 | - |
| dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
| dc.identifier.doi | 10.5281/zenodo.4973492 | - |
| dc.identifier.url | https://zenodo.org/record/4973492 | - |
| local.provider.type | datacite | - |
| local.contributor.datacreator | BOT, Jelmer | - |
| local.contributor.datacreator | WOLFS, Davy | - |
| local.contributor.datacreator | van Netten, S.M. | - |
| local.contributor.datacurator | BOT, Jelmer | - |
| local.contributor.rightsholder | BOT, Jelmer | - |
| local.format.extent | 448.6 Mb | - |
| local.format.mimetype | Comma-separated values (CSV) | - |
| local.contributororcid.datacreator | 0000-0001-5495-4502 | - |
| local.contributororcid.datacreator | 0000-0002-8024-5352 | - |
| local.contributororcid.datacreator | 0000-0001-8855-8022 | - |
| local.publication.doi | 10.3390/s21134558 | - |
| dc.rights.access | Open Access | - |
| item.fulltext | No Fulltext | - |
| item.contributor | BOT, Jelmer | - |
| item.contributor | WOLFS, Davy | - |
| item.contributor | van Netten, S.M. | - |
| item.fullcitation | BOT, Jelmer; WOLFS, Davy & van Netten, S.M. (2021) Dipole localisation predictions data set. Zenodo. 10.5281/zenodo.4973492 https://zenodo.org/record/4973492. | - |
| item.accessRights | Closed Access | - |
| crisitem.license.code | CC-BY-4.0 | - |
| crisitem.license.name | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
| crisitem.discipline.code | 01020801 | - |
| crisitem.discipline.code | 01020505 | - |
| crisitem.discipline.code | 01010504 | - |
| crisitem.discipline.name | Analysis of algorithms and complexity | - |
| crisitem.discipline.name | Visual data analysis | - |
| crisitem.discipline.name | General topology | - |
| crisitem.discipline.path | Natural sciences > Information and computing sciences > Theoretical computer science > Analysis of algorithms and complexity | - |
| crisitem.discipline.path | Natural sciences > Information and computing sciences > Information systems > Visual data analysis | - |
| crisitem.discipline.path | Natural sciences > Mathematical sciences > Geometry > General topology | - |
| crisitem.discipline.pathandcode | Natural sciences > Information and computing sciences > Theoretical computer science > Analysis of algorithms and complexity (01020801) | - |
| crisitem.discipline.pathandcode | Natural sciences > Information and computing sciences > Information systems > Visual data analysis (01020505) | - |
| crisitem.discipline.pathandcode | Natural sciences > Mathematical sciences > Geometry > General topology (01010504) | - |
| Appears in Collections: | Datasets | |
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