This data package was submitted to a staging environment for testing purposes only. Use of these data for anything other than testing is strongly discouraged.

This data package is not the most recent revision of a series.  (View Newest Revision)

Data Package Summary    View Full Metadata

  • Delta smelt (Hypomesus transpacificus) life cycle model input data used in the article "Combining multiple data sources with different biases in state-space models for population dynamics" appearing in Ecology and Evolution Volume13, Issue6, June 2023, e10154 with DOI:10.1002/ece3.10154.
  • United States Fish and Wildlife Service
    Polansky, Leo; United States Fish and Wildlife Service
    Mitchell, Lara; United States Fish and Wildlife Service
    Newman, Ken
  • 2024-04-15
  • United States Fish and Wildlife Service, L. Polansky, L. Mitchell, and K. Newman. 2024. Delta smelt (Hypomesus transpacificus) life cycle model input data used in the article "Combining multiple data sources with different biases in state-space models for population dynamics" appearing in Ecology and Evolution Volume13, Issue6, June 2023, e10154 with DOI:10.1002/ece3.10154. ver 2. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-28).
  • Synthesized data used for fitting delta smelt population dynamics models, essentially consisting of predictor variables (environmental conditions and indices of prey and predators) and response variables (abundance indices). Input data is sourced from a variety of both federal and California state government monitoring programs taking place within the San Francisco Estuary, California. These include California Department of Fish and Wildlife fish surveys, Interagency Ecological Program's Environmental Monitoring Program for zooplankton, California Department of Water Resources' Dayflow, and United States Geological Survey water monitoring data. The sourced data are recorded from sub-hourly to monthly time scales and at various spatial scales, aggregated at monthly or greater time scales using summary statistics (e.g. means) and are not spatially explicit but use spatial stratification approaches for statistic calculation as appropriate.

  • N: 38.601      S: 37.775      E: -121.289      W: -122.423
  • This information is released under the Creative Commons license - Attribution - CC BY (https://creativecommons.org/licenses/by/4.0/). The consumer of these data ("Data User" herein) is required to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or co-authorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is." The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
  • Analyze this data package using:           

EDI is a collaboration between the University of New Mexico and the University of Wisconsin – Madison, Center for Limnology:

UNM logo UW-M logo