Species occurrence records are vital data streams in marine conservation with a wide range of important applications. From 2001–2020, the Monterey Bay Aquarium led an international research collaboration to understand the life cycle, ecology, and behavior of white sharks (Carcharodon carcharias) in the southern California Current. The collaboration was devoted to tagging juveniles with animal-borne sensors, also known as biologging. Here we report the full data records from 59 pop-up archival (PAT) and 20 smart position and temperature transmitting (SPOT) tags that variously recorded pressure, temperature, and light-level data, and computed depth and geolocations for 63 individuals. Whether transmitted or from recovered devices, raw data files from successful deployments (n = 70) were auto-ingested from the manufacturer into the United States (US) Animal Telemetry Network’s (ATN) Data Assembly Center (DAC). There they have attributed a full suite of metadata, visualized within their public-facing data portal, compiled for permanent archive under the DataONE Research Workspace member node, and are accessible for download from the ATN data portal.
animal migration, animal movements, environmental data
biologging, telemetry tags, satellite transmitters
depth • temperature • longitude • latitude
Sample Characteristic - Organism
Sample Characteristic - Environment
ocean, nearshore marine environment, coastal aquatic habitat
Sample Characteristic - Location
State of Baja California • State of California • North East Pacific Ocean
Background & Summary
The biologging and biotelemetry revolution that began with isolated, descriptive case studies1,2,3,4,5 has since grown into wide-ranging research disciplines with applications across marine science6,7,8. The Monterey Bay Aquarium (“Aquarium”) has been active in biologging research, helping to pioneer studies across diverse marine taxa, including tunas, sharks, devil rays, sunfish, sea otters, and jellyfish3,4,9,10,11. Over two decades ago, the Aquarium initiated the Juvenile White Shark Project (“Project”), spurred on by the first successful deployment of a satellite transmitting tag on a juvenile white shark (Carcharodon carcharias) in 200012. At this time there were several active research programs devoted to understanding adult white sharks, however, none were focused on the juvenile demographic of these apex ocean predators during this important developmental phase. As a result, the Aquarium began an international collaboration devoted to the comprehensive study of juvenile white sharks in the northeastern Pacific.
This collaboration to date has resulted in many scientific publications and graduate student projects13,14,15,16,17,18,19,20,21,22, each study arising from the analysis of a subset of the overall dataset presented here. The published findings about the biology and ecology of juvenile white sharks initially provided vital insights to the Aquarium’s husbandry team that enabled their successful white shark exhibition (2004–2011). The Aquarium’s exhibitions of juvenile white sharks aimed to inspire ocean conservation through promoting public awareness of the important ecological role played by white sharks as well as the threats sharks face in the wild. Through 2020, the Project deployed 79 electronic tags on 63 juvenile white sharks that have helped document their seasonal migrations and oceanographic preferences, fisheries interactions, nursery locations, ontogenetic shifts, and habitat shifts arising from ocean warming.
Beyond its own programmatic and scientific achievements, through knowledge sharing and funding, the Project helped launch additional juvenile white shark research programs in Australia (Commonwealth Scientific and Industrial Research Organization, principal investigator Barry Bruce), Mexico (Centro de Investigación Científica y de Educación Superior de Ensenada, principal investigator Oscar Sosa-Nishizaki), and southern California (California State University Long Beach, principal investigator Chris Lowe). This collaborative network, within the region and beyond, contributed significantly to the Project’s success and longevity. Beyond the scientific community, the trust and support of countless commercial fisherman was a key element that contributed immeasurably to the Project, particularly in the program’s early development. Throughout, this Project was a privately funded research program, whose present and future status was adversely affected by the economic hardships arising from the COVID-19 pandemic and resulting budgetary reductions.
Here, we provide an extensively curated dataset from electronic tags affixed to juvenile white sharks in the northeast Pacific Ocean. These data were collected from two biotelemetry platforms (details below) that potentially recorded pressure, temperature, and light-level data and additionally computed depth and geolocation information. These data were auto-ingested, post-processed, annotated, and hosted on the United States (US) Animal Telemetry Network (ATN) Data Assembly Center (DAC), where they are publicly accessible. The ATN DAC is an essential part the Integrated Ocean Observing System (IOOS) network of the National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS).
Tagging deployments and study subjects
Table 1 contains an overview of the fields in the metadata file (JWS_metadata.xlsx) providing extensive background details on each of the 79 tag deployments and 63 study subjects. The data in this file give essential contextual information needed to understand the methodological, environmental, and demographic factors surrounding the deployments, which are critical for further examination and hypothesis testing of the sensor data. These metadata fall into several specific categories, but are not limited to, (i) information on the deployed electronic devices (platform, model, Platform Transmitter Terminal identifications), (ii) sharks (unique identifying numbers, sex, length), (iii) capture event (date, location, duration, methodology, interaction type), and (iv) the reporting period (duration, linear surface travel distance).
Figure 1 illustrates a typical C. carcharias tagging operation. This involves a contracted commercial fishing vessel with purpose-built gears to capture sharks (Fig. 1a) and a research crew to handle animals, monitor health (Fig. 1b) and attach electronic tags (Fig. 1c). More details on the tagging program and its methodologies are provided elsewhere14,19,20. Figure. 2 provides summaries of the deployment schedule, geographic locations, devices, and capture operations. Of note, 39.7% (25/64) of all tagging operations involved collaborations with commercial fishery operators (Fig. 2f–h), whose engagement was temporarily impacted (Fig. 2a) during the scientific review process when the population was under consideration for US Endangered Species Act listing. Figure 3 displays the demographic focus on small juvenile C. carcharias, with modest deployment durations and travel distances.
SPOT5 platform sensors and configuration
Smart position and temperature transmitting (SPOT) tag data included in this dataset were obtained from SPOT5 tags (Wildlife computers, Redmond, WA) deployed on juvenile White Sharks between 2006 and 2009. These tags generated the locations of tagged sharks when the fin-mounted tag broke the surface of the water and there were Argos satellites overhead (http://www.argos-system.org). Several factors will influence the frequency of Argos locations from SPOT tags (hourly to weekly), as well as the accuracy of the positions (<250 m to >10 km), including: the sea state, the shark’s surface-oriented behavior, and the satellite coverage23. These factors determine how many messages from the tag reach the Argos satellite system, and therefore the location quality class. For instance, location class Z does not allow for a valid location to be estimated, classes B and A are assigned when only 2 and 3 messages are received, respectively and cannot estimate the accuracy of the location. Class 0, 1, 2 and 3 all require 4 messages to be received and have estimated errors of, respectively, over 1500 m (sometimes much greater), between 500 m and 1500 m, between 250 m and 500 m, and below 500 m. For additional technical details on location classes and position accuracy, see the CLS Argos User Manual (available at https://bit.ly/3uuMbzt).
The SPOT tags were programmed to only transmit location (and not time at temperature histograms or haul out statistics). They were also programmed to check if the wet/dry sensor is dry (and therefore the tag is out of the water and able to transmit) every 0.25 seconds. Messages sent by the tag were received by the Argos satellite system and transferred to the Wildlife Computers data portal from which data files were downloaded. The file formats included the proprietary .DIAG and .PRV file formats as well as a series of .CSV files. Location data are available within the locations.csv file for each tag.
PAT platform sensors and configuration
Pop-up archival transmitting (PAT) tags deployed on juvenile White Sharks used to collect data for this dataset included MK10 (deployed 2003–2016), MiniPAT (deployed 2010–2020), PAT2 (deployed 2001–2003) or PAT4 (deployed 2004–2005) tags from Wildlife Computers (Redmond, WA). All PAT tag models included wet/dry, light level, pressure, and temperature sensors. These tags were programmed to collect light level, depth and temperature data while deployed on White Sharks, and at a pre-determined date, release from their anchor and float to the surface where they could transmit a subset of their data to the Argos satellite system.
Once at the surface, a final (pop-up) location of the tag is calculated by the Argos satellite system by measuring the “Doppler shift” of repeated transmissions received by the satellite as it moves over the tag. Multiple Argos locations are calculated in this way, and just as with SPOT tags described above, Argos quality classes are associated with each location. If tags reported on schedule, the first high quality location (class 1, 2 or 3) of the tag as determined by the Argos satellite is considered the final known location of the tagged shark.
While the battery remains sufficiently charged, the tag transmits packets of information to the Argos satellite system with the archived data from the light, pressure, and temperature sensors. Due to the combination of deployment length, battery life and satellite availability over the location of the tag, only a small percentage of the archived data will be able to be transmitted. For this reason, PAT tags can be programmed by the user to prioritize which data to transmit and in what format (e.g., full time series of depth or temperature vs. binned histograms of time spent at depth and temperature). Table 2 contains an overview of the fields in the metadata file (PAT_programming.xlsx) that reveals how the PAT tags used in this study were programmed. When a tag that has popped up could be recovered, the full archived data set was downloaded. This provided fine scale data on the depth, temperature and light level experienced by the tag, which were then uploaded to the Wildlife Computers data portal.
One of the most useful outputs of the PAT tag platforms are estimates of the location of the tagged shark while at liberty (between the known position at the time of release, and the known position at pop-up directly through the Argos satellite system). To estimate position while on the shark, the tag records light levels and produces two light-level curves each day of deployment. Using the onboard clock set to UTC time, the times of the local dawn and dusk are compared to UTC, which provides an estimate of the longitude of the tag on that day. The time between dawn and dusk (i.e., the length of the day) is used to estimate the latitude of the tag based on the day of the year. Both the latitude and longitude estimates are very much dependent on the quality of the light curves, which in turn are very dependent on the environmental conditions experienced by the tag (cloud cover, depth water turbidity, etc.). Higher quality light curves will produce more accurate geolocation estimates. This approach has been used for decades19 and has been independently validated20.
To further refine these geolocation estimates, the light-level data are processed through a proprietary geolocation algorithm on the Wildlife Computer portal called GPE3. The user provides an estimate of the average swimming speed of the tagged animal, and the GPE3 process employs a discretized Hidden Markov model that uses light levels, sea surface temperatures from satellites to compare with the onboard temperature recordings, and any known locations (such as the deployment and pop-up locations) to reduce the uncertainty around each daily geolocation estimate. More information about the GPE3 can be obtained from Wildlife Computers (www.wildlifecomputers.com).
Data transmission and processing
Data from successful SPOT (n = 19) and PAT (n = 51) tag deployments were transmitted through Argos Services directly to the manufacturer and then decoded using their data analysis program (DAP; Wildlife Computers). Data from recovered archival tags (n = 26) were manually uploaded directly to the Wildlife Computers (WC) data portal by participating researchers and then decoded using DAP. Decoded raw telemetry data and when applicable processed GPE3 files (PAT tags only, see above) were then downloaded from the Wildlife Computers data portal to the ATN DAC via the Wildlife Computers API as .CSV files and in some cases in the proprietary WC file format using the unique manufacturer assigned deployment ids (Table 1). Downloaded data were zipped and maintained as is.
Researcher-assigned unique deploy identification numbers (i.e., Shark ID_PTT) were used to label each zip file (see Table 1). The subset of files included within each deployment folder are contingent on tag model, programming selections and whether a tag was successfully recovered. Individual data files, from successfully transmitted tags, regardless of tag type were prefixed by a tag’s assigned Platform Transmitter Terminal (PTT) id followed by the specific WC file type. Recovered archival PAT tag data files were prefaced with ‘out’ followed by the file type. Processed GPE3 files were prefixed with the deployments unique deploy identification number and the numerical suffix indicates researcher selected GPE3 file run. Unique deploy id, PTT id and tag type were provided within each individual data file to assist with future merging and reuse of these data. Blank cells contained within any of the provided data files signify attributes were not collected or determined. While data file and attribute descriptions are separately provided by the manufacturer, the full suite of animal and tag deployment metadata are fully described with an accompanying ISO 19115 metadata record for geospatial data.
Public access to the full data records and metadata from these 70 successfully transmitted and/or recovered electronic tags deployed on juvenile C. carcharias from 2001–2020 are available through the ATN data portal (https://bit.ly/2ZTvbFS) as well as the Research Workspace (RW) Data Observation Network for Earth (DataONE) member node (https://search.dataone.org/portals/RW). These data have a standard CC-BY license and a standalone, upstream Digital Objective Identifier (https://doi.org/10.24431/rw1k6c3) specific to the dataset itself23. These deployment location files (i.e., location.csv or GPE3-X.csv) are also visualized within the ATN DAC data portal (project page, https://bit.ly/2YUlJ4P).
These data are publicly accessible and free to use without restriction, but we request future users of these data acknowledge the ATN as well as cite this data manuscript from which the data were obtained in any future publications and/or representations of these data.
Post-processing of raw data
Raw data files were harvested directly from the tag manufacturer by the ATN DAC and preserved as is. Files were reviewed for completeness, and to ensure proper ids were provided and correct folder and file labels applied. However, it is strongly encouraged that users carefully review provided data files as well as read and fully comprehend associated metadata prior to use. The accuracy and precision of Argos derived location estimates are known to vary and device sensors can drift over time or even report erroneous results (outliers) due to data transmission errors. It is essential that prudent actions are taken to ensure data used in any future analyses are biologically sound and only include data from within each tags reported deployment window (see Table 1). This applies to both individual use of these data and aggregated use with other data.
Seven juvenile white sharks that were captured and tagged, were not immediately released, and their transmissions should be interpreted accordingly. Five of these sharks (6_10, 07_05, 08_11, 09_11B, 11_06) were displayed on exhibit at the Aquarium for a period of 22–198 days24. Three of these sharks were released back into the ocean in Monterey Bay (6_10, 07_05, 09_11B), which at the time, was significantly north of their natural habitat18,20,25. The remaining two exhibited sharks were released near Goleta, California at the northern edge of their historical range. Sharks 04_02 and 07_03 were kept in floating coastal pens (see Fig. 1a) for 6–8 days before being released. Shark 09_11 and 09_11B are the same individual, but only the tag from 09_11B reports data from the wild environment. The tag deployed on shark 09_11 while in the pen was not programmed to transmit and acted as a control. No exhibited sharks carried tags while on display. Shark 09_09 and 09_09B are also the same individual. Shark was 09_09 was recaptured and tagged with a new PAT tag at which point it was also given an updated shark id (09_09B). Additional context on the future application of these data to understand animal movements, migrations, habitat preferences, niche modeling, mortality, and climate change impacts are provided in studies published with partial subsets of the present data13,14,15,16,17,18,19,20,21,22.
All the data and code used in this study are available open access from the ATN DAC Data Portal (https://portal.atn.ioos.us) and the Research Workspace DataONE member node (https://search.dataone.org/portals/RW) as well as at GitHub (https://bit.ly/3noJCJD). As we are providing the raw telemetry data and metadata from the platform manufacturer, the code we provide is for data visualization used to make the figures in this manuscript.
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K. Peterson, A. Copenhaver and two anonymous reviewers improved earlier versions of this manuscript, J. Packard provided continual support of the research and development of this program over two decades. This work would not have been accomplished without the many students, staff, and interns who assisted with the field programs and tag deployments, and the commercial fishery operators who partnered to safely tag and release bycaught sharks. Axiom Data Science (Anchorage, AK) designed and maintains the cyberinfrastructure components of the ATN DAC and assisted in the data archival and visualization process. This study was supported by the generous contributions of members, visitors, and donors to the Monterey Bay Aquarium.
J.O., C.L. and O.S. designed the research program and with K.V. conceived of the manuscript. J.O., C.L. and O.S. supervised the data collection and program administration, C.W. administered the commercial fishery partnership and in-water animal care infrastructure. All authors contributed, analyzed, and curated data. M.M. prepped dataset for archive and public release. K.V. generated the figures and drafted the manuscript with contributions from J.O., C.L., T.F. and M.M. All authors reviewed the manuscript.
The authors declare no competing interests.
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O’Sullivan, J., Lowe, C.G., Sosa-Nishizaki, O. et al. A biologging database of juvenile white sharks from the northeast Pacific. Sci Data 9, 142 (2022). https://doi.org/10.1038/s41597-022-01235-3