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A machine learning approach for discriminating triploid and diploid Grass Carp (Ctenopharyngodon idella) by using microscopic images of hematologically stained blood cells
Microscopic images of hematologically stained whole blood cells from diploid and triploid Grass Carp (Ctenopharynngodon idella) were obtained by a laboratory microscope and field microscope.
| Author(s) |
Hannah G Boudreaux,
Addison L Marcus,
Kelly L Wood  ,
Lydia O. Duhon ,
Patrick T Kroboth ,
Robin D Calfee ,
Jill A Jenkins
|
| Publication Date | 2024-12-17 |
| Beginning Date of Data | 2024-05-29 |
| Ending Date of Data | 2024-07-22 |
| Data Contact | |
| DOI | https://doi.org/10.5066/P1GLVYXT |
| Citation | Boudreaux, H.G., Marcus, A.L., Wood, K.L., Duhon, L.O., Kroboth, P.T., Calfee, R.D., and Jenkins, J.A., 2024, A machine learning approach for discriminating triploid and diploid Grass Carp (Ctenopharyngodon idella) by using microscopic images of hematologically stained blood cells: U.S. Geological Survey data release, https://doi.org/10.5066/P1GLVYXT. |
| Metadata Contact | |
| Metadata Date | 2024-12-17 |
| Related Publication | There was no related primary publication associated with this data release. |
| Citations of these data | No citations of these data are known at this time. |
| Access | public |
| License | http://www.usa.gov/publicdomain/label/1.0/ |
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Harvest Source: ScienceBase
Harvest Date: 2025-01-07T16:23:15.254Z
Harvest Date: 2025-01-07T16:23:15.254Z