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:T432,

The temporal series involved sampling from one site in the Arabian Peninsula, Saadiyat. We used NOAA's Environmental Research Division Data Access Program (ERDDAP) website to collect sea surface temperature data. The temperature data was downloaded using a bounding box that covered the study area on the day of collection at 12:00:00 UTC (temperature was averaged over one day).

In addition, a temperature logger (Onset Hobo Tidbit V2) was deployed on the reef substrate at Saadiyat reef which recorded at 60-minute intervals for the temporal series (Figure S1 of Ketchum et al., 2021). Chlorophyll concentrations were obtained from MODIS AQUA (https://oceancolor.gsfc.nasa.gov) level 3 monthly averaged data, and salinity data were obtained from a numeric ocean model: the 1/12 Global Hybrid Coordinate Ocean Model (HYCOM; https://www.hycom.org/data/glbu0pt08/expt-91pt2) at 12:00:00 UTC on the day of collections.

1b:Tece,NSF Award Abstract: Future increases in sea temperatures are expected to have far-reaching and detrimental consequences for marine organisms. Organisms must either move to more favorable environments, acclimate to maintain homeostasis, or adapt through genomic changes to the new thermal regime, otherwise local extinction will occur. For marine benthic organisms that are largely and completely sedentary, their capacity to migrate is dependent on larval dispersal, which is hypothesized to be limited under warming conditions. In this project, the research team studies populations of four marine invertebrate species (coral, sea urchin, oyster, ascidian) across the substantial thermal gradient along the northeastern Arabian Peninsula as a natural system to quantify the effects of elevated temperatures on dispersal, genetic connectivity and adaptation. The team will use an integrative approach that consists of experimental larval assays, biophysical modeling and high throughput sequencing technologies. This study provides a comprehensive assessment of the potential impacts of climate change on economically and ecologically important organisms, while enriching the understanding of core ecological and evolutionary concepts. The success of this project results from a synergistic international collaboration with New York University at Abu Dhabi, United Arab Emirates. This research project provides mentoring and training for a postdoctoral scholar, a graduate student, and four undergraduate students from underrepresented minority groups who are interested in pursuing graduate education. Each of these scholars is provided access to cutting-edge science, international and collaborative research opportunities, and experience disseminating their science to different audiences. Furthermore, the broader impacts extend to the Charlotte community and wider public in this region of North Carolina through the implementation of two outreach exhibits at a local science museum. Understanding the interplay between dispersal, genetic connectivity and adaptation will be key to forecasting the impacts on future sea temperature increases on marine benthic invertebrates. This project uses the world's warmest reefs in the Persian/Arabian Gulf, that currently experience temperatures not anticipated on reefs elsewhere within the next century, as a model system to study the effects of elevated temperatures on these ecologically and evolutionary important processes. Populations of four invertebrate species from the Persian/Arabian Gulf are compared to populations in the neighboring Gulf of Oman that experiences a more benign thermal environment. The first aim characterizes the impact of elevated temperatures on the survival, pelagic duration, and settlement responses of larvae from different populations of the four focal species along the thermal gradient. These results are additionally compared with potential shifts in egg investment strategies by females from each location. The second aim uses these population-specific responses gleaned from the larval experiments to parameterize models of present day and future dispersal and compares them against existing patterns of genetic connectivity. The final aim analyzes the genomic basis for thermal adaptation in these populations through a combination of whole genome comparisons and single-generation selection experiments, with the goal to ascertain whether there is evidence for convergent/parallel evolution in the taxonomically distinct invertebrate species. This project is expected to advance our knowledge of adaptation to climate change by providing new insights into the impacts of temperature on a key life cycle stage and elucidate the genomic processes governing thermal adaptation in marine invertebrates.6:["$","$L19",null,{"dataset":{"_id":"858366","description":"","problem":"","acquisition":"$1a","processing":"

BCO-DMO Processing:
\n- changed date format to YYYY-MM-DD;
\n- replaced 'NA' with 'nd' (no data).

\n","bcodmoProcessing":"","title":"Temperature, salinity, and chlorophyll data used for analysis of urchin gut microbiota, Echinometra sp. EZ (Temporal Data Series)","nickname":"Temperature, Salinity, and Chlorophyll - Temporal Series","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2021-08-12T04:00:00.000Z","abstract":"Temperature, chlorophyll, and salinity data used for the analysis of urchin gut microbiota, Echinometra sp. EZ. Sea surface temperature data were obtained from NOAA. In addition, a temperature logger (Onset Hobo Tidbit V2) was deployed on the reef substrate at Saadiyat reef which recorded at 60-minute intervals for the temporal series. Chlorophyll concentrations were obtained from NASA MODIS AQUA. Salinity data were obtained from a numeric ocean model: the 1/12 Global Hybrid Coordinate Ocean Model.","citation":"Ketchum, R., Smith, E. G., Vaughan, G. O., McParland, D., Al-Mansoori, N., Burt, J. A., Reitzel, A. (2021) Temperature, salinity, and chlorophyll data used for analysis of urchin gut microbiota, Echinometra sp. EZ (Temporal Data Series). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-08-12 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.858366.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.858366.1","versionDate":"2021-08-12","versionId":"1","year":"2021","title":"Temperature, salinity, and chlorophyll data used for analysis of urchin gut microbiota, Echinometra sp. EZ (Temporal Data Series)","authors":"Ketchum, R., Smith, E. G., Vaughan, G. O., McParland, D., Al-Mansoori, N., Burt, J. A., Reitzel, A.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.858366.1","release_date":null,"field_dataset_location":"","temporal_extent":{"start":"2017-03-12T05:00:00.000Z","end":"2018-02-11T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1489294800","label":"2017-03-12"},"end":{"value":"1518325200","label":"2018-02-11"}},"spatial_extent":{"shape":"point","center":{"latitude":24.599,"longitude":54.4215},"wkt":" POINT (54.4215 24.599)","north":0,"east":0,"south":0,"west":0},"dataset_type":["Other Field Results"],"keywords":["oceans"],"data_files":[{"id":"903450","title":"temporal_series.csv","url":"https://datadocs.bco-dmo.org/dataset/858366/file/vmmwyJluWNmNBl/temporal_series.csv","showTableUrl":"https://www.bco-dmo.org/dataset/858366/data/view/903450","description":"Primary data file for dataset ID 858366","filename":"temporal_series.csv","bytesize":12834,"checksum":{"value":"0582b620be57e0fca4e95fa74c1ba962","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":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"560139","name":"Adam Reitzel"},"performedAtOrganization":{"_id":"560138","name":"University of North Carolina at Charlotte"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"859732","name":"John A. Burt"},"performedAtOrganization":{"_id":"859729","name":"New York University Abu Dhabi"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"859726","name":"Edward G. Smith"},"performedAtOrganization":{"_id":"560138","name":"University of North Carolina at Charlotte"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"859728","name":"Grace O. Vaughan"},"performedAtOrganization":{"_id":"859729","name":"New York University Abu Dhabi"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"859731","name":"Noura Al-Mansoori"},"performedAtOrganization":{"_id":"859729","name":"New York University Abu Dhabi"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"858389","name":"Remi Ketchum"},"performedAtOrganization":{"_id":"560138","name":"University of North Carolina at Charlotte"}},{"role":{"_id":"135","name":"Technician"},"performedBy":{"_id":"859730","name":"Dain McParland"},"performedAtOrganization":{"_id":"859729","name":"New York University Abu Dhabi"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"817792","name":"OCE-1924498","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1924498"}],"instruments":[{"_id":"858388","name":"Onset Hobo Tidbit V2","description":"","type_id":"553780","type_name":"Onset HOBO TidbiT v2 (UTBI-001) temperature logger","type_desc":"A temperature logger that measures temperatures over a wide temperature range. It is designed for outdoor and underwater environments and is waterproof to 300 m. A solar radiation shield is required to obtain accurate air temperature measurements in sunlight (RS1 or M-RSA Solar Radiation Shield). With an operational temperature range between -20 degrees Celsius and +70 degrees Celsius, the TidbiT v2 has an accuracy of +/-0.21 and a resolution of 0.02 degrees Celsius.","type_acronym":"HOBO TidBit v2"}],"parameters":[{"_id":"858371","name":"Sample","format":"","frictionlessType":"string","description":"

Sample ID. Format is either "month.sample#" or "month.sa.sample#."

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"858372","name":"season","format":"","frictionlessType":"string","description":"

Season is determined by temperature at time of collection and subsequently split into three groups: summer, winter, or overlap.

","units":{"_id":"","name":"unitless"},"type":{"_id":"964","name":"season","description":"

Season of the year. Could be text (i.e. Fall) or numerical (i.e. Winter = 1)

"}},{"_id":"858373","name":"site","format":"","frictionlessType":"string","description":"

Collection site ID. SA represents Saadiyat Reef.

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

Sampling site identification.

"}},{"_id":"858374","name":"gulf","format":"","frictionlessType":"string","description":"

The Gulf that samples were collected from. PAG is Persian/Arabian Gulf.

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

Sampling site identification.

"}},{"_id":"858375","name":"dataset","format":"","frictionlessType":"string","description":"

This study generated two datasets; the temporal series and the summer-winter spatial series.

","units":{"_id":"","name":"unitless"},"type":{"_id":"796","name":"datatype","description":"

sampling method - instrument type, e.g. MOCNESS-10, CTD, etc.

"}},{"_id":"858376","name":"month","format":"","frictionlessType":"string","description":"

Month of collection

","units":{"_id":"","name":"unitless"},"type":{"_id":"1115","name":"month","description":"

Month of year; numeric 1 to 12.

"}},{"_id":"858377","name":"year","format":"","frictionlessType":"integer","description":"

Year of collection

","units":{"_id":"","name":"unitless"},"type":{"_id":"1062","name":"year","description":"

year, reported as YYYY, e.g. 1995

"}},{"_id":"858378","name":"Hycom_Salinity","format":"","frictionlessType":"number","description":"

Salinity data was obtained from a numeric ocean model: the 1/12 Global Hybrid Coordinate Ocean Model (HYCOM; https://www.hycom.org/data/glbu0pt08/expt-91pt2) at 12:00:00 UTC on the day of collections.

","units":{"_id":"","name":"PPT"},"type":{"_id":"955","name":"sal","description":"

Salinity: The amount (mass or quantity of matter) of salt per amount (volume or mass) of a body of water.

"}},{"_id":"858379","name":"Temp_CRW","format":"","frictionlessType":"number","description":"

NOAA’s Environmental Research Division Data Access Program (ERDDAP) website was used to collect sea surface temperature data. The temperature data was downloaded using a bounding box that covered the study area on the day of collection at 12:00:00 UTC (temperature was averaged over one day).

","units":{"_id":"","name":"Degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"858380","name":"Temp_Logger","format":"","frictionlessType":"number","description":"

Temperature logger (Onset Hobo Tidbit V2) was deployed on the reef substrate at Saadiyat reef which recorded at 60-minute intervals

","units":{"_id":"","name":"Degrees Celsius"},"type":{"_id":"733","name":"temperature","description":"

water temperature at measurement depth

"}},{"_id":"858381","name":"Mon_Ocean_Color_NASA_Chl","format":"","frictionlessType":"number","description":"

Chlorophyll concentrations were obtained from MODIS AQUA (https://oceancolor.gsfc.nasa.gov) level 3 monthly averaged data.

","units":{"_id":"","name":"milligrams per cubic meter (mg m-3)"},"type":{"_id":"766","name":"chlorophyll a","description":"

Total chlorophyll a pigment. See dataset for units of measurement; often reported in: milligrams per cubic meter (mg/m3); micrograms/liter (ug/L); nanograms/liter (ng/L).

CAUTION Within JGOFS MERGED water column products: this parameter is derived from HPLC methodology and the units are nanograms/liter; however; this parameter name is also used for a variety of water and nonwater column sampling; derived via the fluorometric method; units will also vary.

"}},{"_id":"858382","name":"Date_Collected","format":"%Y-%m-%d","frictionlessType":"date","description":"

Day of collection in YYYY-MM-DD format (UTC)

","units":{"_id":"","name":"unitless"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"858383","name":"Latitude","format":"","frictionlessType":"number","description":"

Latitude of collection site

","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":"858384","name":"Longitude","format":"","frictionlessType":"number","description":"

Longitude of collection site

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

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

"}}],"related_publications":[{"id":"859710","citation":"Ketchum, R. N., Smith, E. G., Vaughan, G. O., McParland, D., Al‐Mansoori, N., Burt, J. A., & Reitzel, A. M. (2021). Unraveling the predictive role of temperature in the gut microbiota of the sea urchin\r\n Echinometra\r\n sp.\r\n EZ\r\n across spatial and temporal gradients. Molecular Ecology, 30(15), 3869–3881. doi:10.1111/mec.15990\r\n","relation_type":["Results"],"relation_desc":""}],"related_datasets":[{"_id":"858398","name":"Temperature, Salinity, and Chlorophyll - Spatial Series","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"","citation":"Ketchum, R., Smith, E. G., Vaughan, G. O., McParland, D., Al-Mansoori, N., Burt, J. A., Reitzel, A. (2021) Temperature, salinity, and chlorophyll data used for analysis of urchin gut microbiota, Echinometra sp. EZ (Spatial Data Series). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2021-08-12 doi:10.26008/1912/bco-dmo.858398.1"}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/858366/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/858366/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/858366/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/858366/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[],"projects":[{"_id":"817793","name":"Dispersal, connectivity and local adaptation along an extreme environmental gradient","acronym":"Env Gradient Adaptation","description":"$1b"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.858366.1","url":"https://doi.org/10.26008/1912/bco-dmo.858366.1","date_assigned":"2021-08-30","version_date":"2021-08-12","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"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":179},"downloads":{"count":330}}}}]