This data release includes data and metadata containing estimated and predicted locations of radio telemetered Hawaiian forest birds. Radio telemetry data was collected using an automated radio telemetry network from 2014 to 2019 from birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species that varied in age and sex were studied: the nectarivorous ʻiʻiwi (Drepanis coccinea) and ʻapapane (Himatione sanguinea), the frugivorous ʻōmaʻo (Myadestes obscurus), and the generalist Hawaiʻi ʻamakihi (Chlorodrepani virens). Data were used in the analysis for the manuscript entitled "Landscape fragmentation alters movement behavior and space use of Hawaiian forest birds."

We used an automated radio telemetry network to document the activity of radio telemetered Hawaiian forest birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species were studied: the nectarivorous ʻiʻiwi (Drepanis coccinea) and ʻapapane (Himatione sanguinea), the frugivorous ʻōmaʻo (Myadestes obscurus), and the generalist Hawaiʻi ʻamakihi (Chlorodrepani virens; hereafter ʻamakihi). In the continuous forest we also tracked two non-native species: the frugivorous red-billed leiothrix (Leiothrix lutea), and the generalist warbling white-eye (Zosterops japonicus). Using sequential changes in radio signal strength we were able to estimate when birds were moving or resting. This data release consists of one tabular dataset with 2,026,289 records that contains the bird information, designated activity characterization, telemetry network information, and signal strength.

We used an automated radio telemetry network to document the activity of radio telemetered Hawaiian forest birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species were studied: the nectarivorous ʻiʻiwi (Drepanis coccinea) and ʻapapane (Himatione sanguinea), the frugivorous ʻōmaʻo (Myadestes obscurus), and the generalist Hawaiʻi ʻamakihi (Chlorodrepani virens; hereafter ʻamakihi). In the continuous forest we also tracked two non-native species: the frugivorous red-billed leiothrix (Leiothrix lutea), and the generalist warbling white-eye (Zosterops japonicus). Using sequential changes in radio signal strength we were able to estimate when birds were moving or resting. This data release consists of one tabular dataset with 2,026,289 records that contains the bird information, designated activity characterization, telemetry network information, and signal strength.

We tracked the movement of 15 ‘Io, or Hawaiian Hawks (Buteo solitarius) from 2019-2021. Individuals were tracked for up to 18 months across a diverse landscape on the eastern side of the Island of Hawai'i. GPS-GSM (global positioning system location with global system of mobile communications) tracking tags were placed on each bird, with locations obtained every 1 hour during diurnal hours, and every 3 hours during nocturnal hours, with two birds having locations obtained every 2 hours as a result of tag power issues. A total of 111,320 locations were obtained.

We tracked the movement of 15 ‘Io, or Hawaiian Hawks (Buteo solitarius) from 2019-2021. Individuals were tracked for up to 18 months across a diverse landscape on the eastern side of the Island of Hawai'i. GPS-GSM (global positioning system location with global system of mobile communications) tracking tags were placed on each bird, with locations obtained every 1 hour during diurnal hours, and every 3 hours during nocturnal hours, with two birds having locations obtained every 2 hours as a result of tag power issues. A total of 111,320 locations were obtained.

In this study, we employed several bio-logging technologies to track at-sea movement and behavior of five main Hawaiian Island (MHI) breeding seabird species (Brown Booby [Sula leucogaster], Laysan Albatross [Phoebastria immutabilis], Red-tailed Tropicbird [Phaethon rubricauda], Red-footed Booby [Sula sula], and Wedge-tailed Shearwater [Ardenna pacifica]) at multiple breeding colonies on or near the islands of Maui, O‘ahu, and Kaua‘i. We utilized Global Positioning System (GPS) tags to track seabird spatial movements, temperature-depth recorders (TDRs) to measure diving and immersion patterns, and accelerometry to identify behaviors. The Deployments table provides details of all deployment and ancillary information for birds on which bio-loggers were deployed and for which data were recovered. Each record in this table (represented by a unique “DeployID”) is a deployment event of a bio-logging tag (or combination of tags) on a bird. Each record includes information on: 1. Bird identification (i.e. species, band numbers, breeding stage/phenology, sex, age, nest location, colony/site location); 2. Bio-logger tag types deployed, settings, and data recovered; 3. Deployment and recovery date/time; 4. Morphometric measurements (i.e. mass, culmen) and samples collected (i.e. blood for stable isotope analysis, diet) made at the time of tag deployment and/or recovery. Deployment and ancillary information provided in this table can be joined by DeployID to all types of bio-logger data contained in the other sections of this data release. Note that, although rare, some individuals (represented by a common band number across multiple records) may have been tagged more than once across study years (represented by different DeployID’s across records).

In this study, we employed several bio-logging technologies to track at-sea movement and behavior of five main Hawaiian Island (MHI) breeding seabird species (Brown Booby [Sula leucogaster], Laysan Albatross [Phoebastria immutabilis], Red-tailed Tropicbird [Phaethon rubricauda], Red-footed Booby [Sula sula], and Wedge-tailed Shearwater [Ardenna pacifica]) at multiple breeding colonies on or near the islands of Maui, O‘ahu, and Kaua‘i. We utilized Global Positioning System (GPS) tags to track seabird spatial movements, temperature-depth recorders (TDRs) to measure diving and immersion patterns, and accelerometry to identify behaviors. The Deployments table provides details of all deployment and ancillary information for birds on which bio-loggers were deployed and for which data were recovered. Each record in this table (represented by a unique “DeployID”) is a deployment event of a bio-logging tag (or combination of tags) on a bird. Each record includes information on: 1. Bird identification (i.e. species, band numbers, breeding stage/phenology, sex, age, nest location, colony/site location); 2. Bio-logger tag types deployed, settings, and data recovered; 3. Deployment and recovery date/time; 4. Morphometric measurements (i.e. mass, culmen) and samples collected (i.e. blood for stable isotope analysis, diet) made at the time of tag deployment and/or recovery. Deployment and ancillary information provided in this table can be joined by DeployID to all types of bio-logger data contained in the other sections of this data release. Note that, although rare, some individuals (represented by a common band number across multiple records) may have been tagged more than once across study years (represented by different DeployID’s across records).

Due to recent interest in developing offshore wind energy infrastructure around the main Hawaiian Islands (MHI), U.S. Geological Survey Western Ecological Research Center (USGS–WERC) partnered with the Bureau of Ocean Energy Management (BOEM) from 2013–2016 to study breeding Hawaiian seabird distributions, habitat utilizations, and ranging behaviors within near-island and outer continental shelf waters. In this study, we employed several bio-logging technologies to track at-sea movement and behavior of five MHI-breeding seabird species: Brown Booby (Sula leucogaster), Laysan Albatross (Phoebastria immutabilis), Red-tailed Tropicbird (Phaethon rubricauda), Red-footed Booby (Sula sula), and Wedge-tailed Shearwater (Ardenna pacifica). Studies were conducted at multiple breeding colonies on or near the islands of Maui, O‘ahu, and Kaua‘i. We utilized Global Positioning System (GPS) tags to track seabird spatial movements, temperature-depth recorders (TDRs) to measure diving and immersion patterns, and accelerometry to identify behaviors. This data release provides all data collected in this study, organized into the following sections: 1. Deployments – Summary of all deployment and ancillary information for birds on which bio-loggers were deployed and for which data were recovered. To be used in conjunction with compiled bio-logger data (2–5, below) in this data release. 2. GPS-e-obs – GPS and accelerometry data collected using e-Obs model tags 3. GPS-iGotU – GPS data collected using iGotu model tags 4. TDR FastLog – TDR data of potential dives 5. TDR WetDry – TDR data of wet (immersion) time periods All data are relatable by a unique “DeployID” used for every deployment of a tag (or combination of tags) on a bird. Summary information and file metadata for each section of this release provide specific details on data structure, formatting, and potential use.

Due to recent interest in developing offshore wind energy infrastructure around the main Hawaiian Islands (MHI), U.S. Geological Survey Western Ecological Research Center (USGS–WERC) partnered with the Bureau of Ocean Energy Management (BOEM) from 2013–2016 to study breeding Hawaiian seabird distributions, habitat utilizations, and ranging behaviors within near-island and outer continental shelf waters. In this study, we employed several bio-logging technologies to track at-sea movement and behavior of five MHI-breeding seabird species: Brown Booby (Sula leucogaster), Laysan Albatross (Phoebastria immutabilis), Red-tailed Tropicbird (Phaethon rubricauda), Red-footed Booby (Sula sula), and Wedge-tailed Shearwater (Ardenna pacifica). Studies were conducted at multiple breeding colonies on or near the islands of Maui, O‘ahu, and Kaua‘i. We utilized Global Positioning System (GPS) tags to track seabird spatial movements, temperature-depth recorders (TDRs) to measure diving and immersion patterns, and accelerometry to identify behaviors. This data release provides all data collected in this study, organized into the following sections: 1. Deployments – Summary of all deployment and ancillary information for birds on which bio-loggers were deployed and for which data were recovered. To be used in conjunction with compiled bio-logger data (2–5, below) in this data release. 2. GPS-e-obs – GPS and accelerometry data collected using e-Obs model tags 3. GPS-iGotU – GPS data collected using iGotu model tags 4. TDR FastLog – TDR data of potential dives 5. TDR WetDry – TDR data of wet (immersion) time periods All data are relatable by a unique “DeployID” used for every deployment of a tag (or combination of tags) on a bird. Summary information and file metadata for each section of this release provide specific details on data structure, formatting, and potential use.

We used an automated radio telemetry network to track the movement of two nectivorous Hawaiian honeycreepers, the ʻapapane (Himatione sanguinea) and ʻiʻiwi (Drepanis coccinea), collecting high temporal and spatial resolution data across the annual cycle. We identify movement syndromes using a multivariate analysis of multiple movement metrics and assessed seasonal changes in movement behavior. Birds made long-distance flights, including multi-day forays outside the tracking array, but exhibited a high degree of fidelity to a core use area, even in the non-breeding period. Both species visited forests at elevations where avian malaria potentially occurs, although overall exhibited very little seasonal change in elevation (< 150 m) and regularly returned to high-elevation roost sites at night. Birds were tracked from January 2014 to July 2016.