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).

Data e Risorse

Campo Valore
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
identifier https://doi.org/10.23719/1393857
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2017-09-06
programCode {020:095}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1007/s11538-017-0379-x}
resource-type Dataset
source_datajson_identifier true
source_hash 7596a2d39f8d29789c08e7f49508d07e927f86ef
source_schema_version 1.1
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • amerigeo
  • amerigeoss
  • ckan
  • deconvolution
  • disaggregation
  • endocrine-disruption
  • fathead-minnow
  • fish
  • geo
  • geoss
  • inverse-problems
  • maximum-likelihood
  • mode-of-action-moa
  • national
  • north-america
  • reproduction
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Gerald Ankley
maintainer_email ankley.gerald@epa.gov
metadata_created 2025-11-22T23:43:41.361557
metadata_modified 2025-11-22T23:43:41.361562
notes 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).
num_resources 1
num_tags 17
title Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data