Plankton was imaged with the PlanktoScope in different oceanic regions using different nets and protocol of conservation. This dataset aims to serve as reference for taxonomic identification with the PlanktoScope across 256 plankton taxa from 20µm to 300µm. Reference dataset can also serve as learning set for prediction in Ecotaxa (https://ecotaxa.obs-vlfr.fr/prj/15535). 

The full images were processed and segmented with the PlanktoScope around each individual. A set of associated features were measured on the objects with skimage.measure. All objects were classified into 256 different classes using the web application EcoTaxa (http://ecotaxa.obs-vlfr.fr). The following dataset corresponds to the 169, 149 objects and their calculated features. The different files provide information about the features of the objects, their taxonomic identification as well as the raw images.

 

taxa.csv.gz

 

Table of the classification of each object in the dataset, with columns:

- object_id: unique object identifier in EcoTaxa.

- annotation_category: taxonomic name corresponding to the last level of hierarchy

- annotation_hierarchy: taxonomic lineage to the category 

- set: class of the image corresponding to the taxon 

- img_file_name: local path of the image corresponding to the taxon, named according to the object id

 

features_native.csv.gz

 

Table of morphological features computed by PlanktoScope. All features are computed on the object only, not the background. All area/length measures are in pixels. 

 

- object_id: unique object identifier in Ecotaxa

 

And 33 features:

 

- width: width of the smallest rectangle enclosing the object (pixel)

- height: height of the smallest rectangle enclosing the object (pixel)

- bx: X coordinates of the top left point of the smallest rectangle enclosing the object (pixel)

- by: Y coordinates of the top left point of the smallest rectangle enclosing the object (pixel)

- circ.: circularity of the object ((4∗π ∗Area)/Perim^2) [0-1]

- area_exc: Surface area of the object excluding holes (pixel2)

- area: Surface area of the object (pixel2)

- %area: Percentage of object’s surface area that is comprised of holes

- major: Length of the primary axis of the best fitting ellipse for the object (pixel)

- minor: Length of the secondary axis of the best fitting ellipse for the object (pixel)

- y: Y position of the center of gravity of the object (pixel)

- x: X position of the center of gravity of the object (pixel)

- convex_area: The area of the smallest polygon within which all points in the object fit (pixel2)

- perim.: The length of the outside boundary of the object (pixel)

- elongation: elongation index (major/minor) 

- perimareaexc: index of the relative complexity of the perimeter (perim/area_exc)

- perimmajor: Index of the relative complexity of the perimeter (perim/major)

- circex: Circularity of object excluding white pixels ((4 ∗ π ∗ Area_exc)/perim 2)

- angle: Angle between the primary axis and a line parallel to the x-axis of the image

- bounding_box_area: Area of the smallest box containing the object (pixel2)

- eccentricity: Eccentricity of the ellipse that has the same second-moments as the region. Ratio of the focal distance of the ellipse over the major axis length [0-1]

- equivalent_diameter: The diameter of a circle with the same area as the object (pixel)

- euler_number: Euler characteristic of the set of non-zero pixels. Computed as number of connected components subtracted by number of holes

- extent: Ratio of pixels in the object to pixels in the total bounding box

- local_centroid_col: Horizontal coordinate of the center of mass of the object (pixel)

- local_centroid_row: Vertical coordinate of the center of mass of the object (pixel)

- solidity: Ratio of pixels in the object to pixels of the convex hull image (area / convex_area)

- meanhue: Mean base color of the object in hue scale (0-360)

- meansaturation: Mean saturation of the object [0-100]

- meanvalue: Mean brightness of the object [0-100]

- stdhue: Standard deviation of base color

- stdsaturation: Standard deviation of saturation 

- stdvalue: Standard deviation of brightness

 

inventory.tsv

Tree view of the taxonomy and number of images in each taxon, displayed as text. With columns :

- annotation_hierarchy: taxonomic lineage

- annotation_category: name of the taxon 

- n: number of objects in each taxon group

map.png

Map of the sampling locations, to give an idea of the diversity sampled in this dataset.

imgs

Directory containing images of each object, named according to the object id object_id and sorted in subdirectories according to their taxon.