http://lod.bco-dmo.org/id/dataset/1009250
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2026-10-07
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Larval sablefish observations, environmental data, and associated analysis code from 1995-2018
2026-10-07
publication
2026-10-07
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2026-10-22
publication
https://doi.org/10.26008/1912/bco-dmo.1009250.1
Rebecca G. Asch
East Carolina University
principalInvestigator
Katherine Dale
East Carolina University
principalInvestigator
Toby Auth
National Marine Fisheries Service
principalInvestigator
Ian Perry
Department of Fisheries and Oceans Canada
principalInvestigator
Mercedes Pozo Buil
University of California-Santa Cruz
principalInvestigator
Lauren Rogers
National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center
principalInvestigator
Janie Sanborn
University of Virginia
principalInvestigator
Andrew Thompson
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
principalInvestigator
Martina Van Etten
University of North Carolina at Charlotte
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Asch, R. G., Dale, K., Van Etten, M., Auth, T., Perry, I., Pozo Buil, M., Rogers, L., Thompson, A., Sanborn, J. (2026) Larval sablefish observations, environmental data, and associated analysis code from 1995-2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-10-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1009250.1 [access date]
Sablefish larval geographic and seasonal shifts Dataset Description: Methods and Sampling: <p><strong>Sablefish larval data:&nbsp;</strong>We collated data from five long-term ichthyoplankton sampling programs covering the region between the Southern California Bight (35° latitude) to the Alaska Peninsula in the western Gulf of Alaska. From north to south, these surveys were the National Oceanic and Atmospheric Administration (NOAA) Ecosystems and Fisheries Oceanography Coordinated Investigations (EcoFOCI), multiple compiled surveys organized by Department of Fisheries &amp; Oceans Canada (DFO), the NOAA Pre-recruit Survey, Newport Hydrographic Line (NH-Line), and the California Cooperative Oceanic Fisheries Investigations (CalCOFI). Larval data includes samples taken by oblique and paired bongo tows with 236-505 µm mesh from throughout the study area, along with neuston tows from Alaska and southern California. Neuston tows had 505 µm mesh and net openings between 0.13-15 m<sup>2</sup>. Tows were subset to 1995 to 2018 within the 200 nmi Exclusive Economic Zone within ocean or estuarine waters (salinity ≥ 30 ppt). The northern geographic extent of the area examined was bounded by the latitudinal range of positive tows (59.8°N). We restricted the southern limit to be ≥ 35°N latitude. From north to south, these surveys were the National Oceanic and Atmospheric Administration (NOAA) Ecosystems and Fisheries Oceanography Coordinated Investigations (EcoFOCI), multiple compiled surveys organized by Department of Fisheries &amp; Oceans Canada (DFO), the NOAA Pre-recruit Survey, Newport Hydrographic Line (NH-Line), and the California Cooperative Oceanic Fisheries Investigations (CalCOFI).</p>
<p><strong>Environmental data:&nbsp;</strong>Environmental data were extracted from a 10-km Regional Ocean Modeling System (ROMS) configured for the eastern Pacific at a 10-km resolution from 1995-2020 (Pozo Buil et al. in prep). The model was forced with daily atmospheric fields from the ERA5 reanalysis produced by European Centre for Medium-Range Weather Forecasts (Hersbach et al. 2020) and with open-ocean boundary conditions from the 1/12° Global Ocean Reanalysis and Simulation (Lellouche et al. 2021) with a five-day resolution. We extracted sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS), and spiciness from ROMS. Spiciness was averaged over the upper 250 m of the water column, corresponding to the maximum depth sampled across the five programs. Empirical catch data collected from field sampling were matched to ROMS data using bilinear interpolation. Bottom depth (i.e., water depth at each sampling location) was extracted for each data point using R package ‘marmap’ (Pante and Simon-Bouhet 2013) which uses bathymetry 15 arc-second data from the 2022 NOAA Earth TOPOgraphy dataset (National Centers for Environmental Information [NCEI] 2022).&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2049626 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2049626
onGoing
Rebecca G. Asch
East Carolina University
252-328-6307
209 East 5th Street, Mail Stop 211
Greenville
NC
27858-1821
USA
ASCHR16@ECU.EDU
pointOfContact
Katherine Dale
East Carolina University
6109842710
kdale@ucsc.edu
pointOfContact
Toby Auth
National Marine Fisheries Service
toby.auth@noaa.gov
pointOfContact
Ian Perry
Department of Fisheries and Oceans Canada
ian.perry@dfo-mpo.gc.ca
pointOfContact
Mercedes Pozo Buil
University of California-Santa Cruz
mpozobui@ucsc.edu
pointOfContact
Lauren Rogers
National Oceanic and Atmospheric Administration - Alaska Fisheries Science Center
206-526-4243
Alaska Fisheries Science Center 7600 Sand Point Way NE
Seattle
WA
98115
USA
lauren.rogers@noaa.gov
pointOfContact
Janie Sanborn
University of Virginia
janiesanborn19@gmail.com
pointOfContact
Andrew Thompson
National Oceanic and Atmospheric Administration - Southwest Fisheries Science Center
andrew.thompson@noaa.gov
pointOfContact
Martina Van Etten
University of North Carolina at Charlotte
martinavanetten4@gmail.com
pointOfContact
asNeeded
Dataset Version: 1
Unknown
year
month
program
date
timeblock
latitude
longitude
X
Y
gear
sst_roms
sst_scaled
ssh_roms
ssh_scaled
salinity_roms
salinity_scaled
spice_roms
spice_scaled
bottom_depth
bottom_depth_scaled
larvae_m3
presence
region
pdo
pdo_regime
oni
oni_regime
theme
None, User defined
year
month of year
project
date
date_range
latitude
longitude
sampling_method
sea surface temperature
sea surface height above mean sea level
sea surface salinity
No BCO-DMO term
depth_bottom
abundance
presence_absence
region
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Tradeoffs between phenology and geography constraints in response to climate change across species life cycles
https://osprey.bco-dmo.org/project/879511
Collaborative Research: Tradeoffs between phenology and geography constraints in response to climate change across species life cycles
<p><em>NSF Award Abstract:</em><br />
The investigators are using statistical and biophysical modeling techniques to examine the characteristics and drivers of timing (phenology) and distribution (geography) of fish eggs, larvae, and juveniles. They are focusing on the California Current and western Gulf of Alaska regions of the Northeast Pacific. Changes in phenology and geography are anticipated responses of marine organisms to global change in climate, with consequences for food web interactions, species abundance and productivity, and local extinctions. These responses, in turn, will have important implications for marine conservation, resource management, and the economies of coastal communities that depend on marine resources for sustenance and livelihoods. Data analysis is in collaboration with fisheries scientists at National Oceanic and Atmospheric Administration, and results will be of interest to resource managers. One of the investigators is an early-career female scientist, and the study provides training for REU students, other undergraduates, graduate students, and a postdoctoral scientist. Educational outreach includes development of online classroom and lab modules.</p>
<p>The overarching objective of this project is to examine the drivers and characteristics of phenology and geography of fish early life history stages (ELS) in the Northeast Pacific Ocean. Most research on how climate change impacts marine organisms has focused on adult life history stages, even though existing literature indicates that early life history stages may be more vulnerable to climate stressors. During ELS, marine fish and invertebrates can be limited in their ability to move in space and time due to strong ecological, physiological, physical, and evolutionary constraints. For these species, their ability to adapt to global change in climate through shifts in distribution and phenology depends on the events that occur during the early portion of their life cycle. Similarly, climate change impacts on organismal distribution and phenology have principally been studied separately, without any consideration of interactions between these two types of responses to changing oceanic conditions. The investigators are conducting modeling analyses based on ELS collected since the mid-1950s to test the null hypotheses that: 1) fish ELS will experience similar spatio-temporal variability in relation to ocean climate regardless of the life history strategy; 2) changes will be greater at the leading edge of a species' distribution and that the start of the spawning season will exhibit the greatest change in phenology; 3) species with large distribution changes will have smaller changes in phenology, and vice versa; and 4) historical and future projections of fish distribution that include life history information will be more skillful than those that do not include life history.</p>
<p>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.</p>
Pheno Geo Tradeoffs
largerWorkCitation
project
eng; USA
oceans
-161.9635
-120.7583
35.0133
59.7952
1995-01-20
2018-12-06
California Current System and Gulf of Alaska
0
BCO-DMO catalogue of parameters from Larval sablefish observations, environmental data, and associated analysis code from 1995-2018
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/1010245.rdf
Name: year
Units: YYYY
Description: <p>Year in YYYY</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010246.rdf
Name: month
Units: MMMM
Description: <p>Month in MM</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010247.rdf
Name: program
Units: unitless
Description: <p>Name of long-term ichthyoplankton sampling program.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010248.rdf
Name: date
Units: YYYY-MM-DD
Description: <p>Date in YYYY-MM-DD format</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010249.rdf
Name: timeblock
Units: unitless
Description: <p>4- or 5 year time blocks were used to temporally aggregate points for better modeling. Character value, one of '1995-1999', '2000-2004', '2005-2009', '2010-2014', or '2015-2018'.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010250.rdf
Name: latitude
Units: Decimal degrees
Description: <p>Latitude in decimal degrees.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010252.rdf
Name: longitude
Units: Decimal degrees
Description: <p>Longitude in decimal degrees</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010254.rdf
Name: X
Units: kilometer (km)
Description: <p>Latitude in equidistant conic coordinates. Kilometer from 45 deg N</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010255.rdf
Name: Y
Units: kilometer (km)
Description: <p>Longitude in equidistant conic coordinates. Kilometer from -135 deg W</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010256.rdf
Name: gear
Units: unitless
Description: <p>Gear used in the survey. Character value, one of Manta" or "Ring/Bongo"."</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010257.rdf
Name: sst_roms
Units: Degrees Celsius (°C)
Description: <p>Sea surface temperature in degrees Celsius, from regional oceanographic model</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010258.rdf
Name: sst_scaled
Units: Degrees Celsius (°C)
Description: <p>Sea surface temperature centered (mean subtracted) and scaled (divided by the standard deviation)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010259.rdf
Name: ssh_roms
Units: Meters (m)
Description: <p>Sea surface height in meters, from regional oceanographic model</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010260.rdf
Name: ssh_scaled
Units: Meters (m)
Description: <p>Sea surface height centered (mean subtracted) and scaled (divided by the standard deviation)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010261.rdf
Name: salinity_roms
Units: Parts per thousand
Description: <p>Sea surface salinity in parts per thousand, from regional oceanographic model</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010262.rdf
Name: salinity_scaled
Units: Parts per thousand
Description: <p>Sea surface salinity centered (mean subtracted) and scaled (divided by the standard deviation)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010263.rdf
Name: spice_roms
Units: unitless
Description: <p>Spiciness (a measure of water density calculated from salinity and temperature), from regional oceanographic model</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010264.rdf
Name: spice_scaled
Units: unitless
Description: <p>Spiciness centered (mean subtracted) and scaled (divided by the standard deviation)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010265.rdf
Name: bottom_depth
Units: Meters (m)
Description: <p>Bottom depth in m (more negative values indicate deeper depths)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010266.rdf
Name: bottom_depth_scaled
Units: Meters (m)
Description: <p>Bottom depth centered (mean subtracted) and scaled (divided by the standard deviation)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010267.rdf
Name: larvae_m3
Units: Larvae per meters cubed
Description: <p>Larval density metric in abundance/meters cubed.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010268.rdf
Name: presence
Units: unitless
Description: <p>Presence (1) or absence (0)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010269.rdf
Name: region
Units: unitless
Description: <p>General geographic region. Character value, one of 'Continental US', 'Canada', or 'Gulf of Alaska'</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010270.rdf
Name: pdo
Units: unitless
Description: <p>Pacific Decadal Oscillation value</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010271.rdf
Name: pdo_regime
Units: unitless
Description: <p>PDO values above 0 are classified as 'Warm', values less than 0 are classified as 'Cool'.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010272.rdf
Name: oni
Units: unitless
Description: <p>Oceanic Niño Index values</p>
http://lod.bco-dmo.org/id/dataset-parameter/1010273.rdf
Name: oni_regime
Units: unitless
Description: <p>ONI values greater than 0.5 indicated an El Niño phase, values less than -0.5 indicated a La Niña phase, and values between -0.5 and 0.5 indicated a “Null” period.</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://osprey.bco-dmo.org/dataset/1009250/data/download
download
onLine
dataset
<p><strong>Sablefish larval data:&nbsp;</strong>We collated data from five long-term ichthyoplankton sampling programs covering the region between the Southern California Bight (35° latitude) to the Alaska Peninsula in the western Gulf of Alaska. From north to south, these surveys were the National Oceanic and Atmospheric Administration (NOAA) Ecosystems and Fisheries Oceanography Coordinated Investigations (EcoFOCI), multiple compiled surveys organized by Department of Fisheries &amp; Oceans Canada (DFO), the NOAA Pre-recruit Survey, Newport Hydrographic Line (NH-Line), and the California Cooperative Oceanic Fisheries Investigations (CalCOFI). Larval data includes samples taken by oblique and paired bongo tows with 236-505 µm mesh from throughout the study area, along with neuston tows from Alaska and southern California. Neuston tows had 505 µm mesh and net openings between 0.13-15 m<sup>2</sup>. Tows were subset to 1995 to 2018 within the 200 nmi Exclusive Economic Zone within ocean or estuarine waters (salinity ≥ 30 ppt). The northern geographic extent of the area examined was bounded by the latitudinal range of positive tows (59.8°N). We restricted the southern limit to be ≥ 35°N latitude. From north to south, these surveys were the National Oceanic and Atmospheric Administration (NOAA) Ecosystems and Fisheries Oceanography Coordinated Investigations (EcoFOCI), multiple compiled surveys organized by Department of Fisheries &amp; Oceans Canada (DFO), the NOAA Pre-recruit Survey, Newport Hydrographic Line (NH-Line), and the California Cooperative Oceanic Fisheries Investigations (CalCOFI).</p>
<p><strong>Environmental data:&nbsp;</strong>Environmental data were extracted from a 10-km Regional Ocean Modeling System (ROMS) configured for the eastern Pacific at a 10-km resolution from 1995-2020 (Pozo Buil et al. in prep). The model was forced with daily atmospheric fields from the ERA5 reanalysis produced by European Centre for Medium-Range Weather Forecasts (Hersbach et al. 2020) and with open-ocean boundary conditions from the 1/12° Global Ocean Reanalysis and Simulation (Lellouche et al. 2021) with a five-day resolution. We extracted sea surface temperature (SST), sea surface height (SSH), sea surface salinity (SSS), and spiciness from ROMS. Spiciness was averaged over the upper 250 m of the water column, corresponding to the maximum depth sampled across the five programs. Empirical catch data collected from field sampling were matched to ROMS data using bilinear interpolation. Bottom depth (i.e., water depth at each sampling location) was extracted for each data point using R package ‘marmap’ (Pante and Simon-Bouhet 2013) which uses bathymetry 15 arc-second data from the 2022 NOAA Earth TOPOgraphy dataset (National Centers for Environmental Information [NCEI] 2022).&nbsp;</p>
Specified by the Principal Investigator(s)
<p>We used R version 4.4.1 to collate and analyze data. Package | General purpose | Version | Citation blockCV | Analysis | 3.2-0 | Valavi et al. (2019) cmocean | Visualization | 0.3-2 | Thyng et al. (2016) corrplot | Visualization | 0.95 | Wei &amp; Simko (2024) cowplot | Visualization | 1.2.0 | Wilke (2025) dplyr | Data management | 1.2.1 | Wickham et al. (2014) fmesher | Analysis | 0.7.0 | Lindgren (2023) ggeffects | Analysis | 2.3.2 | Lüdecke (2018) ggplot2 | Visualization | 4.0.2 | Hadley Wickham (2016) ggpubr | Visualization | 0.6.3 | Kassambara (2026) httr | Data management | 1.4.8 | Wickham (2026) lubridate | Data management | 1.9.5 | Grolemund &amp; Wickham (2011) marmap | Analysis | 1.0.12 | Pante &amp; Simon-Bouhet (2013) mgcv | Analysis | 1.9-4 | Wood (2011) mgcViz | Visualization | 0.2.1 | Fasiolo et al. (2020) ncdf4 | Data management | 1.24 | Pierce (2025) nlme | Analysis | 3.1-169 | Pinheiro J, Bates D, DebRoy S, Sarkar D (2019) raster | Visualization | 3.5-32 | Fasiolo et al. (2020) readxl | Data management | 1.4.5 | Wickham &amp; Bryan (2026) rerddap | Data management | 1.2.3 | Chamberlain (2026) rerddapXtracto | Data management | 1.2.5 | Mendelssohn (2026) sdmTMB | Analysis | 1.0.0 | Anderson et al. (2022) sdmTMBextra | Analysis | 0.0.5 | Anderson et al. (2022) sf | Data management | 1.1-0 | Pebesma &amp; Bivand (2023) stringr | Data management | 1.6.0 | Wickham (2025) tidyr | Data management | 1.3.2 | (Wickham &amp; Bryan, 2026) writexl | Data management | 1.5.4 | Ooms (2025) xlsx | Data management | 0.6.5 | Dragulescu &amp; Arendt (2020)</p>
Specified by the Principal Investigator(s)
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
-
CURATION ACTIONS PERFORMED ON METADATA
-
ISSUES POTENTIALLY IMPACTING REUSE
NA
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact