Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data
In order to understand fish biology and reproduction it is important to know the fecundity patterns of individual fish, as frequently established by recording the output of mixed-sex groups of fish in a laboratory setting. However, for understanding individual reproductive health and modeling purposes it is important to estimate individual fecundity from group fecundity. A multi-stage method was developed that disaggregates group level data into estimates for individual-level clutch size and spawning interval distributions. The disaggregation technique was verified by combining data from fathead minnow pairs, and checking that the disaggregation method reproduced the original clutch sizes and spawning intervals.
This dataset is associated with the following publication:
Nishimura, J., R. Smith, K. Jensen, G. Ankley, and K. Watanabe. Estimating intermittent individual spawning behavior via disaggregating group data. BULLETIN OF MATHEMATICAL BIOLOGY. Elsevier Science Ltd, New York, NY, USA, 80(3): 687-700, (2018).
Resources
1 resource available
-
AnkleyGerald_A-9327_Dataset.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Gerald Ankley",
"hasEmail": "mailto:ankley.gerald@epa.gov"
}
|
| description | In order to understand fish biology and reproduction it is important to know the fecundity patterns of individual fish, as frequently established by recording the output of mixed-sex groups of fish in a laboratory setting. However, for understanding individual reproductive health and modeling purposes it is important to estimate individual fecundity from group fecundity. A multi-stage method was developed that disaggregates group level data into estimates for individual-level clutch size and spawning interval distributions. The disaggregation technique was verified by combining data from fathead minnow pairs, and checking that the disaggregation method reproduced the original clutch sizes and spawning intervals. This dataset is associated with the following publication: Nishimura, J., R. Smith, K. Jensen, G. Ankley, and K. Watanabe. Estimating intermittent individual spawning behavior via disaggregating group data. BULLETIN OF MATHEMATICAL BIOLOGY. Elsevier Science Ltd, New York, NY, USA, 80(3): 687-700, (2018). |
| distribution |
[
{
"title": "AnkleyGerald_A-9327_Dataset.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1393857/AnkleyGerald_A-9327_Dataset.xlsx"
}
]
|
| identifier | https://doi.org/10.23719/1393857 |
| keyword |
[
"deconvolution",
"disaggregation",
"endocrine disruption",
"fathead minnow",
"fish",
"inverse problems",
"maximum likelihood",
"mode of action (MOA)",
"reproduction"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2017-09-06 |
| programCode |
[
"020:095"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1007/s11538-017-0379-x"
]
|
| rights |
null
|
| title | Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data |
