Northern Rockhopper penguin Eudyptes moseleyi GLS data from Nightingale Island, Tristan da Cunha, 2016-2017
GB/NERC/BAS/PDC/01113
Abstract:
Geolocators (Global Location Sensing - GLS) were attached to northern rockhopper penguins breeding on Nightingale Island (37 deg 25 S, 12 deg 28 W: 4 km2) with the aim to study the species' dispersal in the inter-breeding period, 2017. This data successfully augments and complements existing datasets for the species breeding on Nightingale Island and enhances understanding of the species' distribution at sea throughout their annual cycle.
There are four different data types for each penguin a) the unprocessed light sensor data, b) the unprocessed activity (wet/dry) data, c) the unprocessed temperature data and d) the estimated positions using the BAStag and SGAT packages in R.
Data were collected as part of the Darwin Plus funded Project Pinnamin (grant DPLUS 053), 2016 - 2018.
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License
| Access: | This data is under embargo. |
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| Use: | This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ |
Basic Information
| Creation Date: | 2018-10-29 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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Additional Information
| Reference: | Green, C.-P., Green, D. B., Ratcliffe, N., Thompson, D., Lea, M.-A., Baylis, A. M. M., Bond, A. L., Bost, C.-A., Crofts, S., Cuthbert, R. J., Gonzalez-Solis, J., Morrison, K. W., Poisbleau, M., Putz, K., Rey, A. R., Ryan, P. G., Sagar, P. M., Steinfurth, A., Thiebot, J.-B. ... Hindell, M. A. (2023). Potential for redistribution of post-moult habitat for Eudyptes penguins in the Southern Ocean under future climate conditions. Global Change Biology, 29, 648-667. https://doi.org/10.1111/gcb.16500 | |
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| Quality: | Data were corrected for any clock drift over time using BAStrack software 'decompressor'. | |
| Lineage/Methodology: | GLS tags were attached to animals' legs during the breeding season or at the end of moult with purpose-designed bands. These were recovered when the birds returned to their colonies to breed. Devices recorded light levels as well as sea surface temperature. Tracks were analysed using BAStag and SGAT in R where processed files are included in this dataset. Processing estimated coordinate locations at 12h regular intervals. |
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Extent
| Temporal Coverage: | |
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| Start Date | 2016-09-11 |
| End Date | 2017-10-03 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | -51 |
| Northernmost | -31 |
| Longitude | |
| Westernmost | -42 |
| Easternmost | 15 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Location: | |
| Location | South Atlantic Ocean |
| Detailed Location | Nightingale Island, Tristan da Cunha |
Instrumentation
| Data Collection: | Positions during the non-breeding season were estimated from Global Location Sensing (GLS) loggers, which allows for the estimation of latitude and longitude from daylight measurements. Data were downloaded from MigrateTech GLS tags using proprietary MigrateTech software. Subsequently data were decompressed using the BAStrack software 'decompressor'. Clock drift was accounted for using the start time of each tag. Loggers measured light levels every 60 seconds recording the maximum light level in a 10 minute period. Salt-water immersion was assessed and the number of positive tests in each 10 min interval recorded: an immersion value of 0 indicates that the logger was completely dry and 200 that it was completely wet. Processed Estelle data was created from the light data using the BAStag and SGAT packages in R. |
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Storage
| Data Storage: | There are four different data types for each penguin a) the unprocessed light sensor data .lux, b) the unprocessed activity (wet/dry) data .ral, c) the unprocessed temperature data .deg and d) the estimated positions using the BAStag and SGAT packages in R (.csv). |
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