19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T725,

We recorded body temperature at 8 sites across the geographic range: Bodega Marine Reserve, Dillon Beach, Fort Ross, Hopkins Marine Station, Kruse Ranch, Soberanes Point, Scripps Coastal Reserve, and Vandenberg. These sites included all sites from which we collected community data (except Seal Beach), plus Scripps Coastal Reserve. Note, we were unable to collect growth data from Scripps Coastal Reserve, because heavy barnacle recruitment obscured limpet tags and we did not deploy loggers at Seal Beach since friable rocky substrate made it difficult to secure loggers.

We estimated body temperature by deploying 6 biomimetic loggers at each site (ElectricBlue Robo Limpet). Loggers were set to record temperature every 30 minutes and were deployed in summer 2023 for 10-12 months. We attached the loggers to the substrate by filling a shallow depression in the rock with marine epoxy (Zspar Splash zone compound) and pressing the logger slightly into the epoxy. Loggers were deployed in gently sloping rocky shore habitats in the mid-intertidal zone, surrounded on 1-2 sides by mussel beds. Within 20-30 cm of each logger, we tagged 2-4 owl limpets (Shell length 30-45 mm) and recorded their growth rates to relate habitat temperature variation with performance.

From each logger, we calculated the upper 95^th percentile temperature in air, lower 5^th percentile temperature in air, mean immersion temperature, and the coefficient of variation for all recorded body temperature estimates. To determine aerial temperatures, we filtered logger readings for those recorded within 90 minutes of the largest daily low tide to ensure aerial exposure. To determine immersion temperatures, we filtered logger readings to include only those recorded within 90 mins of both daily high tides.

1b:T736,This section documents curation actions performed prior to publication review with the submitter, and additional information relevant to understanding and reusing this dataset. It distinguishes changes made to the submitted (meta)data from unresolved issues and/or enhancements that improve future reuse and interoperability. CURATION ACTIONS PERFORMED ON DATA - Loaded two CSV files (air.temps.latitude.csv and water.temp.latitude.csv) as tables res1-1 and res1-2, with missing values defined as "", "nd", and "NA" - Converted time.pdt in res1-1 from format "%m/%d/%y %I:%M %p" (e.g., "8/3/23 1:12 PM") to ISO 8601 format "%Y-%m-%dT%H:%M" - Converted time.PDT in res1-2 from format "%m/%d/%y %H:%M" (e.g., "8/5/23 0:25") to ISO 8601 format "%Y-%m-%dT%H:%M" - Converted Date column in both res1-1 and res1-2 from M/D/YY format to ISO 8601 date format "%Y-%m-%d" - Renamed temp column to air_temp in res1-1 and to water_temp in res1-2 - Concatenated res1-1 and res1-2 into a single table named air_water, mapping time.PDT to time.pdt and Day to new_field; added a file_name column derived from the source filename - Renamed columns: time.pdt to time_local_pdt, new_field to day_of_week, file_name to logger_file - Converted time_local_pdt from America/Los_Angeles (PDT) to UTC, outputting a new ISO_DateTime_UTC column in "%Y-%m-%dT%H:%MZ" format - Reordered columns to: air_temp, water_temp, logger, Site, Date, time_local_pdt, ISO_DateTime_UTC, Latitude, Longitude, day_of_week, logger_file - Output as 1000461_v1_air_water_temps.csv CURATION ACTIONS PERFORMED ON METADATA - Standard metadata entry and text formatting steps were performed. - Added full list of spelled-out site names to methods ISSUES POTENTIALLY IMPACTING REUSE - Exact use of timestamps in the data processing steps would benefit from more detail.1c:T605,As the climate warms, species distributions are shifting poleward, but we have a limited understanding of how organisms perform in their expanded range and the environmental drivers that modulate performance across latitude during range expansions. The abundant center hypothesis (ACH) predicts that abundance and performance decline towards the edge of a species’ range and is the foundation for most predictive theory extended to the eco-evolutionary dynamics of range shifts. However, it is unclear how often these predictions are met during actual range shifts and under what contexts deviations are expected. Here, we use a poleward range expansion of an intertidal limpet (Lottia gigantea) to test predictions regarding patterns of performance and environmental drivers across the geographic range. We recorded body temperature using biomimetic loggers at eight intertidal sites along the California coast. This dataset includes the recorded temperature estimates made every 30 mins for the six loggers at each of the eight sites. Temperature estimates are separated into two parameters by tidal state (air_temp and water_temp): aerial body temperatures, comprising readings recorded within 90 minutes of the largest daily low tide, and immersion body temperatures, comprising readings recorded within 90 minutes of daily high tides. Mean body temperature and lower 5th percentile body temperature declined towards higher latitude sites, however, upper 95th percentile body temperatures varied as a mosaic across latitude. 1d:Tb91,NSF abstract: Anthropogenic climate change is shifting the distributions of species across the globe. Such contemporary shifts in species’ ranges may have cascading effects on entire ecosystems. This project disentangles the mechanisms underlying climate-driven species range shifts in marine systems using the intertidal owl limpet as a case study. During the recent marine heatwaves off the Pacific coast of North America, populations at the northern range limit in northern California have expanded, with ongoing reproduction even after termination of the heatwave events. This is therefore an ideal system to explore the dynamics of natural selection that occur as species occupy new regions. Broadly, this project deepens understanding of how range shifts occur in marine systems and furthers the ability to predict future species distributions in response to climate change. The project provides research experiences for high school and undergraduate students from historically underrepresented groups by engaging with existing, demonstrably-effective programs. The investigators host leadership and skill-building workshops for senior female graduate students and engage the public in partnership with the California Academy of Sciences, Bodega Marine Lab, and San Francisco Exploratorium. Finally, the project provides training for a postdoctoral scholar and two graduate students. Although phenomenological studies suggest that climate-associated range shifts are common in marine systems, to date, mechanistic studies of the climate-organism interactions that alter geographic distributions have largely focused on terrestrial systems. However, dispersal dynamics greatly differ in many marine systems, as currents may frequently transport planktonic larvae into new environmental regimes. This project integrates detailed demographic observations of the recent range expansion of the intertidal owl limpet, Lottia gigantea, with ecological, phenotypic, and genomic measurements of divergence across its range. Specifically, the work 1) documents phenotypic divergence in larval and juvenile traits across the zone of range expansion, 2) uses whole genome sequencing to estimate gene flow across the entire range, 3) identifies genomic patterns of selection across the zone of range expansion and through time, and 4) identifies drivers of variation in performance over latitudinal and microgeographic scales. The ability to monitor this range shift in real time, along with the suitability of this system for tracking individuals across multiple years, allows the investigators to examine the impact of selection in novel range-edge conditions at the phenotypic and genomic levels, and scale from individuals to species-level responses to ongoing environmental change. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.6:["$","$L19",null,{"dataset":{"_id":"1000461","description":"","problem":"","acquisition":"$1a","processing":"","bcodmoProcessing":"$1b","title":"Lottia gigantea body temperatures from biomimetic loggers collected from the eight California intertidal sites from Jul 2023 to May 2024","nickname":"Lottia gigantea body temperatures","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":false,"restricted":false,"version":"1","version_date":"2026-06-09T04:00:00.000Z","abstract":"$1c","citation":"Walkes, S., Bay, R., Sanford, E. (2026) Lottia gigantea body temperatures from biomimetic loggers collected from the eight California intertidal sites from Jul 2023 to May 2024. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-06-09 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1000461.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.1000461.1","versionDate":"2026-06-09","versionId":"1","year":"2026","title":"Lottia gigantea body temperatures from biomimetic loggers collected from the eight California intertidal sites from Jul 2023 to May 2024","authors":"Walkes, S., Bay, R., Sanford, E.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.1000461.1","release_date":null,"field_dataset_location":"California rocky intertidal zone","temporal_extent":{"start":"2023-07-04T04:00:00.000Z","end":"2024-05-04T04:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1688443200","label":"2023-07-04"},"end":{"value":"1714795200","label":"2024-05-04"}},"spatial_extent":{"shape":"polygon","center":{"latitude":35.73805,"longitude":-120.3114},"wkt":"POLYGON ((-123.3696 32.8719, -117.2532 32.8719, -117.2532 38.6042, -123.3696 38.6042, -123.3696 32.8719))","north":38.6042,"east":-117.2532,"south":32.8719,"west":-123.3696},"dataset_type":["Other Field Results"],"keywords":["biota","oceans"],"data_files":[{"id":"1007497","title":"1000461_v1_air_water_temps.csv","url":"https://datadocs.bco-dmo.org/dataset/1000461/file/7DgVWP3SV0AREo/1000461_v1_air_water_temps.csv","showTableUrl":"https://www.bco-dmo.org/dataset/1000461/data/view/1007497","description":"Primary data file for dataset ID 1000461, version 1","filename":"1000461_v1_air_water_temps.csv","bytesize":10337978,"checksum":{"value":"daf3e8013c9f31098f426ef7f8742424","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[{"id":"1007494","title":"air.temps.latitude.csv","url":"https://datadocs.bco-dmo.org/dataset/1000461/file/GwBWw2ji0R35rG/air.temps.latitude.csv","showTableUrl":"","description":"Body temperature estimates for data recorded when loggers were exposed to air during low tide","filename":"air.temps.latitude.csv","bytesize":1282309,"checksum":{"value":"5922ae648ccc9b742235ac38d95cdfc3","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false},{"id":"1007495","title":"water.temp.latitude.csv","url":"https://datadocs.bco-dmo.org/dataset/1000461/file/2GYDGo5CRxZl9/water.temp.latitude.csv","showTableUrl":"","description":"Body temperature estimates for data recorded when loggers were submerged during high tide","filename":"water.temp.latitude.csv","bytesize":4321986,"checksum":{"value":"f8448dbc3be3d4db61aab1b47195409a","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":false,"showTable":false,"restricted":false}],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"777106","name":"Rachael Bay"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"51064","name":"Eric Sanford"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"958655","name":"Samuel Walkes"},"performedAtOrganization":{"_id":"147","name":"University of California-Davis"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"924467","name":"Audrey Mickle"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"867542","name":"OCE-2023297","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=2023297"}],"instruments":[{"_id":"1000496","name":"ElectricBlue Robo Limpet","description":"We estimated body temperature by deploying 6 biomimetic loggers at each site (ElectricBlue Robo Limpet).\nLogger: ElectricBlue Robolimpet (T2.4)","type_id":"639396","type_name":"Temperature Logger","type_desc":"Records temperature data over a period of time.","type_acronym":""}],"parameters":[{"_id":"1000576","name":"air_temp","format":"","frictionlessType":"number","description":"

Biomimetic body temperature estimates recorded from the data logger when loggers were exposed to air during low tide

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"553763","name":"temperature","description":"

Temperature in degrees C of a sample or other item. A generic temperature measurement.

Note: This is NOT water temp or sea surface temp

"}},{"_id":"1000577","name":"water_temp","format":"","frictionlessType":"number","description":"

Biomimetic body temperature estimates recorded by the data logger when loggers were submerged during high tide

","units":{"_id":"","name":"degrees Celsius"},"type":{"_id":"553763","name":"temperature","description":"

Temperature in degrees C of a sample or other item. A generic temperature measurement.

Note: This is NOT water temp or sea surface temp

"}},{"_id":"1000578","name":"logger","format":"","frictionlessType":"string","description":"

logger identifier

","units":{"_id":"","name":"unitless"},"type":{"_id":"864","name":"instrument","description":"

instrument used to collect or process data, definition is specific to the data set in which it appears

"}},{"_id":"1000579","name":"Site","format":"","frictionlessType":"string","description":"

Site identifier; BMR = Bodega Marine Reserve, DB = Dillon Beach, FR = Fort Ross, HMS = Hopkins Marine Station, KR = Kruse Ranch, SBR = Soberanes Point, Scripps = Scripps Coastal Reserve, VBS = Vandenberg Santa Barbara

","units":{"_id":"","name":"unitless"},"type":{"_id":"1124","name":"site","description":"

Sampling site identification.

"}},{"_id":"1000580","name":"Date","format":"%Y-%m-%d","frictionlessType":"date","description":"

Date of recording, in Pacific Time (PT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"799","name":"date_local","description":"

local month, day and year, usually as a text string, e.g. feb10_1995. It is better to use one of the other forms of presenting date and time data so that the data can be used in computations and for comparisons. Note, if the string begins with numbers but also includes letters, there may be problems using the field name for retrieval.

"}},{"_id":"1000581","name":"time_local_pt","format":"%Y-%m-%dT%H:%M","frictionlessType":"datetime","description":"

Date and time of recording, in Pacific Time (PT)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1909","name":"ISO_DateTime_Local","description":"

Date/Time (Local) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\nYYYY-MM-DDTHH:MM:SS[.xx]
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Note the Time Zone (TZ) as +/-HH:MM
\nTime Zone signage is for conversion from local to UTC
\nWest Coast USA in summer is +7 (add 7 hrs to local time for UTC)

"}},{"_id":"1000582","name":"ISO_DateTime_UTC","format":"%Y-%m-%dT%H:%MZ","frictionlessType":"datetime","description":"

Date and time of recording (UTC)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1908","name":"ISO_DateTime_UTC","description":"

Date/Time (UTC) ISO formatted
\nThis standard is based on ISO 8601:2004(E) and takes on any of the following forms:
\n2009-08-30T09:05:00[.xx] (local time)
\n2009-08-30T14:05:00[.xx]Z (UTC time)
\n2009-08-30T14:05:00[.xx]-05:00
\nThe dashes and the colons can be dropped.
\nThe T can also be dropped \"by mutual agreement\", but one needs the trailing Z if the time is UTC.

Sample ISO_datetime_utc:
\n2009-08-30T14:05:00[.xx]Z (UTC time)

Format: YYYY-mm-ddTHH:MM:SS[.xx]Z (UTC time)

"}},{"_id":"1000584","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude of study site, positive is North

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"1000586","name":"Longitude","format":"","frictionlessType":"number","description":"

Longitude of study site, negative is West

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"1000588","name":"day_of_week","format":"","frictionlessType":"string","description":"

Day of the week, abbreviated; only provided for water_temp values

","units":{"_id":"","name":"unitless"},"type":{"_id":"894156","name":"day_of_week","description":"

Day of the week (Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday)

"}},{"_id":"1000589","name":"logger_file","format":"","frictionlessType":"string","description":"

Source file for logging data

","units":{"_id":"","name":"unitless"},"type":{"_id":"659543","name":"file_name","description":"

File name

"}}],"related_publications":[],"related_datasets":[],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/1000461/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/1000461/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/1000461/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/1000461/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"867543","name":"Evolutionary and ecological dynamics of a contemporary climate-driven range expansion","acronym":"LottiaRangeExp","description":"$1d"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.1000461.1","url":"https://doi.org/10.26008/1912/bco-dmo.1000461.1","date_assigned":"2026-09-10","version_date":"2026-06-09","archiver":"Woods Hole Oceanographic Institution (WHOI BCO-DMO)","archiver_id":"191"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":38},"downloads":{"count":74}}}}]