Rate and estimated precision of automated detections.
Rate and estimated precision of automated detections.
| Main Authors: | , |
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| Format: | Dataset |
| Language: | unknown |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://doi.org/10.1371/journal.pone.0260273.t001 |
| id |
ftsmithonian:oai:figshare.com:article/17207640 |
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| record_format |
openpolar |
| spelling |
ftsmithonian:oai:figshare.com:article/17207640 2023-05-15T15:36:20+02:00 Rate and estimated precision of automated detections. William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) 2021-12-15T18:23:25Z https://doi.org/10.1371/journal.pone.0260273.t001 unknown https://figshare.com/articles/dataset/Rate_and_estimated_precision_of_automated_detections_/17207640 doi:10.1371/journal.pone.0260273.t001 CC BY 4.0 CC-BY Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz Dataset 2021 ftsmithonian https://doi.org/10.1371/journal.pone.0260273.t001 2021-12-19T19:26:38Z Rate and estimated precision of automated detections. Dataset Balaenoptera musculus Unknown Pacific |
| institution |
Open Polar |
| collection |
Unknown |
| op_collection_id |
ftsmithonian |
| language |
unknown |
| topic |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz |
| spellingShingle |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) Rate and estimated precision of automated detections. |
| topic_facet |
Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Physical Sciences not elsewhere classified studying marine mammals passive acoustic monitoring ocean bottom seismometers many spurious solutions increasing sampling rates future experiments might div >< p balaenoptera musculus </ widely spaced network false positives must obtain tracks using least 20 locations earliest arrival time different b calls true positives large network b call vocalize extensively smooth paths seismic frequencies requiring groups pacific northwest obtained iteratively minimize changes localize calls including constraints important tool follow within first harmonic feasible time distance window detecting harmonics describe methods calls identified approaches lead 15 hz |
| description |
Rate and estimated precision of automated detections. |
| format |
Dataset |
| author |
William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) |
| author_facet |
William S. D. Wilcock (3749737) Rose S. Hilmo (4537330) |
| author_sort |
William S. D. Wilcock (3749737) |
| title |
Rate and estimated precision of automated detections. |
| title_short |
Rate and estimated precision of automated detections. |
| title_full |
Rate and estimated precision of automated detections. |
| title_fullStr |
Rate and estimated precision of automated detections. |
| title_full_unstemmed |
Rate and estimated precision of automated detections. |
| title_sort |
rate and estimated precision of automated detections. |
| publishDate |
2021 |
| url |
https://doi.org/10.1371/journal.pone.0260273.t001 |
| geographic |
Pacific |
| geographic_facet |
Pacific |
| genre |
Balaenoptera musculus |
| genre_facet |
Balaenoptera musculus |
| op_relation |
https://figshare.com/articles/dataset/Rate_and_estimated_precision_of_automated_detections_/17207640 doi:10.1371/journal.pone.0260273.t001 |
| op_rights |
CC BY 4.0 |
| op_rightsnorm |
CC-BY |
| op_doi |
https://doi.org/10.1371/journal.pone.0260273.t001 |
| _version_ |
1766366679164518400 |