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BCO-DMO ERDDAP
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| log in | [Kelletia kelletii Pooled RADseq] - Restriction site-associated DNA sequence metadata of Kelletia kelletii collected in California, USA and Baja, Mexico in 2015 to 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) | Climate-driven warming and changes in major ocean currents enable poleward transport and range expansions of many marine species. Here, we report the population genetic structure for the gastropod Kelletia kelletii, a commercial fisheries species and subtidal predator with top-down food web effects, whose populations have recently undergone climate-driven northward range expansion. \n\nThis dataset includes sample id, collection site and year, tissue type, length, and extraction information for samples sequenced. We genotyped 598 adults from 13 locations across the species' historical and expanded range (∼800 km) using reduced representation genomic sequencing (RAD-seq). Analyses of 40,747 SNPs show evidence for long-distance larval dispersal of K. kelletii larvae from a central historical range site (Point Loma, CA) hundreds of km into the expanded northern range (Big Creek, CA), which seems most likely to result from transport during an El Niño Southern Oscillation (ENSO) event rather than consistent on-going gene flow. Furthermore, despite smaller geographic distances among some sampled expanded-range populations, their genetic divergence exceeds that among the historical range sampled populations, suggesting multiple origins of the expanded-range populations. Given the frequency and magnitude of ENSO events are predicted to increase with climate change, understanding the factors driving changes in population connectivity is crucial for establishing effective management strategies to ensure the persistence of this and other economically and ecologically important species.\n\ncdm_data_type = Other\nVARIABLES:\nCLNo (unitless)\nCapLabel (unitless)\nSiteDescription (unitless)\nSiteCode (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSiteCodeLetter_cap (unitless)\nWhelk_ID (unitless)\nTissueType (unitless)\n... (9 more variables)\n | BCO-DMO | bcodmo_dataset_958359_v1 | ||||||||||||
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955710_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955710_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955710_v1/ | public | [Kelletia kelletii size-frequency population survey data at 36 sites in 2015-17] - Kelletia kelletii size-frequency population survey data collected by scientific SCUBA divers at 36 kelp forest habitat sites across the species’ biogeographic range in 2015, 2016 and 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) | Sizes of Kellet's whelk (Kelletia kelletii) individuals in populations in the wild were obtained from subtidal benthic surveys conducted by scientific SCUBA divers at kelp forest habitat sites across the species' biogeographic range and over multiple years. The survey data was collected in 2015, 2016 and 2017 during summer months from 36 benthic kelp forest sites, from Monterey Bay, California, USA to Isla Asuncion, Baja California Sur, Mexico.\n\ncdm_data_type = Other\nVARIABLES:\nSiteNumber (unitless)\nIslandCode (unitless)\nIslandName (unitless)\nSiteCode (unitless)\nSiteName (unitless)\nH_E (unitless)\nx2017_1MPA_0Fished (unitless)\nMex0_US1 (unitless)\nNCI1_noNCI0 (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSurveyYear (unitless)\nSurveyDate (unitless)\nTransectNo (unitless)\nSize_mm (millimeter (mm))\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955710_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955710_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955710_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/955710
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955710_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955710_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_955710_v1 | |||
| log in | [Seagrass Microbiome Data] - (Collaborative Research: The role of a keystone pathogen in the geographic and local-scale ecology of eelgrass decline in the eastern Pacific) | This dataset includes sample collection information and sequence accessions for 16S rRNA amplicon sequencing of eelgrass leaf and surrounding water column bacteria from 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA802566 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566/)\n\nEelgrass, Zostera marina, is impacted by outbreaks of wasting disease caused by the opportunistic pathogen Labyrinthula zosterae. We investigated how Z. marina phyllosphere microbial communities vary with rising wasting disease lesion prevalence and severity relative to plant and meadow characteristics like shoot density, longest leaf length, and temperature across 23° latitude in the Northeastern Pacific. We sampled 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. This range included six regions (AK=Alaska, BC=British Columbia, WA=Washington, OR=Oregon, BB=Bodega Bay Northern California, SD=San Diego Southern California), with 5–6 meadows per region. The location of each region is AK: N 55° 32' 27.124” W 133° 11' 1.0546, BC: N 51° 48' 30.1469” W 128° 13' 27.2182, WA: N 48° 36' 4.9725” W 122° 59' 56.4203, OR: N 44° 69 43.717” W 124° 89 22.7337, BB: N 38° 14' 30.3218” W 122° 58' 32.5723, SD: N 32° 47' 37.5929” W 117° 12' 57.1071”. We selected eelgrass meadows within each region that had consistently high cover of eelgrass in recent years.\n\ncdm_data_type = Other\nVARIABLES:\nsample_title (unitless)\nSampleType (unitless)\nRegionName (unitless)\nSiteCode (unitless)\nTissueType (unitless)\nLesionStatus (unitless)\ncollection_date (unitless)\nLocationName (unitless)\nTidalHeight (unitless)\nTransect (unitless)\n... (8 more variables)\n | BCO-DMO | bcodmo_dataset_933635_v1 |