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:T6a6,

Survival was measured from nauplius 1 (N1) stage to copepodid 6 (adult) stage. For a given generation, all adults from the previous generation were removed from the culture and allowed to lay eggs in food-replete media for 48 h. Resulting nauplii were chosen for tracking survival. Unhatched eggs and any nauplii not chosen for survival analysis were returned to their respective replicate cultures for continued population maintenance. To measure survival for all generations where life-history traits were evaluated, three 250-mL beakers for each replicate culture were supplied with 25 randomly chosen N1 nauplii each and housed in the plexiglass enclosure described above (n = 21 per treatment). Copepods were checked every 48-72 h. The number of dead, live, and missing copepods were logged for each beaker along with general stage (i.e. nauplius, copepodite, adult female, or adult male). Nauplii were grown with media at levels of 500 μg C L-1 to prevent overgrowth of phytoplankton and allow for adequate nauplii grazing. Following the naupliar stages, copepods were grown with food-replete (800 μg C L-1) media as described earlier. Food was replaced with fresh media on monitoring days. The target (actual ± standard deviation) conditions were as follows: ambient (AM) temperature = 18 °C (18 ± 0.34, N = 330), AM pCO2= 400 μatm (379 ± 36, N = 18; pH = 8.26 ± 0.1, N = 330); high temperature = 22 °C (22 ± 0.81, N = 336); and high pCO2= 2,000 µatm (2,301 ± 215, N = 18; pH = 7.55 ± 0.08, N = 330). AM target levels represented extant conditions for this species in northeast Atlantic estuaries.

1b:Tb2e,NSF Award Abstract: Over time, our oceans are becoming both warmer and higher dissolved carbon dioxide. The latter condition is called ocean acidification. The consequences of these simultaneous changes for populations of marine organisms are not well understood. For this project, the investigators will conduct a series of laboratory experiments to determine how two closely-related, common species of Acartia copepods will respond to the interactive effects of warming and acidification and also how well these species can adapt over multiple generations to changing ocean conditions. Since these copepods are key species in coastal food webs, results will have important implications for understanding and predicting how marine ecosystems may respond to future climate change. The investigators will share results from the research through traditional print media, case studies, and video mini lectures. The goal will be for educators of all levels to easily access material on climate change and ocean acidification to include in teaching curricula, in alignment with recommendations for universal design for learning. The project is a collaborative effort between an established professor at the University of Connecticut and an early-career female scientist at the University of Vermont. It will provide training and opportunities for collaborative, interdisciplinary research for two postdoctoral investigators, two graduate students and an undergraduate student. The project's main goals are: 1) to test the simultaneous effects of temperature and carbon dioxide under current and future conditions on life history traits throughout the life cycle for two key copepod species, warm-adapted Acartia tonsa and cold-adapted Acartia hudsonica; 2) to test for adaptive capacity of both copepod species to a warmer and carbon-dioxide-enriched ocean; 3) to measure the genetic and maternally-induced changes across multiple generations of experimental selection in future conditions in both copepod species, and to identify the genes and pathways responding to selection. The investigators will use experiments encompassing current and projected temperature and carbon-dioxide conditions, will determine the roles of each variable and their interaction on traits that affect the fitness of both copepod species. They will also determine which life stages are most sensitive to individual or simultaneous stress conditions. Through multigenerational selection experiments, the investigators will identify and characterize the mechanisms of copepod evolutionary adaptation. Finally, they will measure genomic changes across the generations under all four experimental conditions to quantify the relative contributions of genetic and maternally-induced change in the physiological and life history traits of copepods in response to near-future climate conditions.6:["$","$L19",null,{"dataset":{"_id":"906222","description":"

These data are part of at multigenerational experiment of Arcatia tonsa exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments.

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The fraction of survived individuals (lx) was calculated as nx/ni where nx represents the number of live individuals on day x, and ni represents initial individuals. Average survival was calculated per each replicate culture at each generation measured. Differences in day-specific survival between replicates and treatments was assessed using the ‘survival’ package in R.

\n","bcodmoProcessing":"","title":"Acartia tonsa survival data for transgenerational ocean warming and acidification data","nickname":"Ocean warming & acidification experiment: Acartia tonsa survival","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"1","version_date":"2023-09-07T04:00:00.000Z","abstract":"These data include survivorship measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected as the proportion of surviving individuals on any day (x) relative to the starting number of individuals for an single experiment.","citation":"deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M. (2023) Acartia tonsa survival data for transgenerational ocean warming and acidification data. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-07 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.906222.1 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.906222.1","versionDate":"2023-09-07","versionId":"1","year":"2023","title":"Acartia tonsa survival data for transgenerational ocean warming and acidification data","authors":"deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.906222.1","release_date":null,"field_dataset_location":"","temporal_extent":{"start":null,"end":null},"temporal":{"resolution":"","type":"","start":{"value":"","label":""},"end":{"value":"","label":""}},"spatial_extent":{"shape":"","center":{"latitude":0,"longitude":0},"wkt":"","north":0,"east":0,"south":0,"west":0},"dataset_type":["experimental"],"keywords":["oceans"],"data_files":[{"id":"907843","title":"906222_v1_survival.csv","url":"https://datadocs.bco-dmo.org/dataset/906222/file/wnRM811U0WMoZr/906222_v1_survival.csv","showTableUrl":"https://www.bco-dmo.org/dataset/906222/data/view/907843","description":"Primary data file for dataset 906222","filename":"906222_v1_survival.csv","bytesize":120401,"checksum":{"value":"ee08914513f0ec4ffff3cf3d027bb4e1","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":"50606","name":"Hans G. Dam"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"528586","name":"Hannes Baumann"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"706033","name":"Michael Finiguerra"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"140","name":"Co-Principal Investigator"},"performedBy":{"_id":"706026","name":"Melissa H. Pespeni"},"performedAtOrganization":{"_id":"706025","name":"University of Vermont"}},{"role":{"_id":"130","name":"Scientist"},"performedBy":{"_id":"906197","name":"Reid Brennan"},"performedAtOrganization":{"_id":"706025","name":"University of Vermont"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"853808","name":"Gihong Park"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"128","name":"Student"},"performedBy":{"_id":"906193","name":"James A. deMayo"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"133","name":"Contact"},"performedBy":{"_id":"906193","name":"James A. deMayo"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"135","name":"Technician"},"performedBy":{"_id":"906195","name":"Lydia Norton"},"performedAtOrganization":{"_id":"85","name":"University of Connecticut"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"748773","name":"Karen Soenen"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[],"funding":[{"_id":"706022","name":"OCE-1559075","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1559075"},{"_id":"706029","name":"OCE-1559180","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1559180"}],"instruments":[{"_id":"906685","name":"Olympus SZH-ILLD stereoscope","description":"","type_id":"708","type_name":"Microscope - Optical","type_desc":"Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. 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The corresponding generation when survival was measured.

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text description or other traits of the sample collected

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The corresponding treatment evaluated.

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Experimental conditions applied to experimental units. In comparative experiments, members of the complementary group, the control group, receive either no treatment or a standard treatment.

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The target temperature in Celsius for each treatment.

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

Note: This is NOT water temp or sea surface temp

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The pH for each treatment

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pH: The measure of the acidity or basicity of an aqueous solution

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The biological culture replicate for each treatment.

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an identifier used to distinguish between one or more replicate samples

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The replicate 25mL beaker used in survival assays.

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text description or other traits of the sample collected

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The number of days after the start of the experiment.

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Elapsed time. Units can be seconds, minutes, etc.

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The number of surviving individuals.

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Number of items or individuals counted in sample or sample fraction

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The proportion of surviving individuals remaining.

","units":{"_id":"","name":"unitless"},"type":{"_id":"833208","name":"ratio","description":"

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"}}],"related_publications":[{"id":"906208","citation":"Dam, H. G., deMayo, J. A., Park, G., Norton, L., He, X., Finiguerra, M. B., Baumann, H., Brennan, R. S., & Pespeni, M. H. (2021). Rapid, but limited, zooplankton adaptation to simultaneous warming and acidification. Nature Climate Change, 11(9), 780–786. https://doi.org/10.1038/s41558-021-01131-5\r\n","relation_type":["Results"],"relation_desc":""}],"related_datasets":[{"_id":"906342","name":"Ocean warming & acidification experiment: Acartia tonsa body size","url":"","relation_type":"IsPartOf","type_desc":"

A collection of some sort, perhaps a series, and this dataset is a part of

\n","relation_desc":"Dataset is part of same experiment. ","citation":"deMayo, J., Dam, H. G., Park, G., Norton, L., Finiguerra, M., Baumann, H., Brennan, R., Pespeni, M. (2023) Acartia tonsa egg production rate and egg hatching success for transgenerational exposure to ocean warming and ocean acidification. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2023-09-07 doi:10.26008/1912/bco-dmo.906780.1"},{"_id":"906188","name":"Ocean warming & acidification experiment: Acartia tonsa development time","url":"","relation_type":"IsPartOf","type_desc":"

Other datasets that are a piece of this dataset.

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