Datasets:
metadata
license: cc-by-nc-4.0
task_categories:
- image-classification
paperswithcode_id: planktonset1
pretty_name: >-
PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in
Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National
Data Science Bowl (NCEI Accession 0127422)
dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': acantharia_protist
'1': acantharia_protist_big_center
'2': acantharia_protist_halo
'3': amphipods
'4': appendicularian_fritillaridae
'5': appendicularian_s_shape
'6': appendicularian_slight_curve
'7': appendicularian_straight
'8': artifacts
'9': artifacts_edge
'10': chaetognath_non_sagitta
'11': chaetognath_other
'12': chaetognath_sagitta
'13': chordate_type1
'14': copepod_calanoid
'15': copepod_calanoid_eggs
'16': copepod_calanoid_eucalanus
'17': copepod_calanoid_flatheads
'18': copepod_calanoid_frillyAntennae
'19': copepod_calanoid_large
'20': copepod_calanoid_large_side_antennatucked
'21': copepod_calanoid_octomoms
'22': copepod_calanoid_small_longantennae
'23': copepod_cyclopoid_copilia
'24': copepod_cyclopoid_oithona
'25': copepod_cyclopoid_oithona_eggs
'26': copepod_other
'27': crustacean_other
'28': ctenophore_cestid
'29': ctenophore_cydippid_no_tentacles
'30': ctenophore_cydippid_tentacles
'31': ctenophore_lobate
'32': decapods
'33': detritus_blob
'34': detritus_filamentous
'35': detritus_other
'36': diatom_chain_string
'37': diatom_chain_tube
'38': echinoderm_larva_pluteus_brittlestar
'39': echinoderm_larva_pluteus_early
'40': echinoderm_larva_pluteus_typeC
'41': echinoderm_larva_pluteus_urchin
'42': echinoderm_larva_seastar_bipinnaria
'43': echinoderm_larva_seastar_brachiolaria
'44': echinoderm_seacucumber_auricularia_larva
'45': echinopluteus
'46': ephyra
'47': euphausiids
'48': euphausiids_young
'49': fecal_pellet
'50': fish_larvae_deep_body
'51': fish_larvae_leptocephali
'52': fish_larvae_medium_body
'53': fish_larvae_myctophids
'54': fish_larvae_thin_body
'55': fish_larvae_very_thin_body
'56': heteropod
'57': hydromedusae_aglaura
'58': hydromedusae_bell_and_tentacles
'59': hydromedusae_h15
'60': hydromedusae_haliscera
'61': hydromedusae_haliscera_small_sideview
'62': hydromedusae_liriope
'63': hydromedusae_narco_dark
'64': hydromedusae_narco_young
'65': hydromedusae_narcomedusae
'66': hydromedusae_other
'67': hydromedusae_partial_dark
'68': hydromedusae_shapeA
'69': hydromedusae_shapeA_sideview_small
'70': hydromedusae_shapeB
'71': hydromedusae_sideview_big
'72': hydromedusae_solmaris
'73': hydromedusae_solmundella
'74': hydromedusae_typeD
'75': hydromedusae_typeD_bell_and_tentacles
'76': hydromedusae_typeE
'77': hydromedusae_typeF
'78': invertebrate_larvae_other_A
'79': invertebrate_larvae_other_B
'80': jellies_tentacles
'81': polychaete
'82': protist_dark_center
'83': protist_fuzzy_olive
'84': protist_noctiluca
'85': protist_other
'86': protist_star
'87': pteropod_butterfly
'88': pteropod_theco_dev_seq
'89': pteropod_triangle
'90': radiolarian_chain
'91': radiolarian_colony
'92': shrimp-like_other
'93': shrimp_caridean
'94': shrimp_sergestidae
'95': shrimp_zoea
'96': siphonophore_calycophoran_abylidae
'97': siphonophore_calycophoran_rocketship_adult
'98': siphonophore_calycophoran_rocketship_young
'99': siphonophore_calycophoran_sphaeronectes
'100': siphonophore_calycophoran_sphaeronectes_stem
'101': siphonophore_calycophoran_sphaeronectes_young
'102': siphonophore_other_parts
'103': siphonophore_partial
'104': siphonophore_physonect
'105': siphonophore_physonect_young
'106': stomatopod
'107': tornaria_acorn_worm_larvae
'108': trichodesmium_bowtie
'109': trichodesmium_multiple
'110': trichodesmium_puff
'111': trichodesmium_tuft
'112': trochophore_larvae
'113': tunicate_doliolid
'114': tunicate_doliolid_nurse
'115': tunicate_partial
'116': tunicate_salp
'117': tunicate_salp_chains
'118': unknown_blobs_and_smudges
'119': unknown_sticks
'120': unknown_unclassified
splits:
- name: train
num_bytes: 68042054
num_examples: 60736
download_size: 111682933
dataset_size: 68042054
description: >
Data presented here are subset of a larger plankton imagery data set
collected in the subtropical Straits of
Florida from 2014-05-28 to 2014-06-14. Imagery data were collected using the
In Situ Ichthyoplankton Imaging
System (ISIIS-2) as part of a NSF-funded project to assess the biophysical
drivers affecting fine-scale
interactions between larval fish, their prey, and predators. This subset of
images was used in the inaugural
National Data Science Bowl (www.datasciencebowl.com) hosted by Kaggle and
sponsored by Booz Allen Hamilton.
Data were originally collected to examine the biophysical drivers affecting
fine-scale (spatial) interactions
between larval fish, their prey, and predators in a subtropical pelagic
marine ecosystem. Image segments
extracted from the raw data were sorted into 121 plankton classes, split
50:50 into train and test data sets,
and provided for a machine learning competition (the National Data Science
Bowl). There was no hierarchical
relationships explicit in the 121 plankton classes, though the class naming
convention and a tree-like diagram
(see file "Plankton Relationships.pdf") indicated relationships between
classes, whether it was taxonomic or
structural (size and shape). We intend for this dataset to be available to
the machine learning and computer
vision community as a standard machine learning benchmark. This ''Plankton
1.0'' dataset is a medium-size
dataset with a fair amount of complexity where image classification
improvements can still be made.
dataset_name: >-
PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in
Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015
National Data Science Bowl (NCEI Accession 0127422)
citation: |-
@dataset{dataset:planktonset1.0,
author = {Cowen, Robert K. and
Sponaugle, Su and
Robinson, Kelly L. and
Luo, Jessica and
Guigand, Cedric},
title = {PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National Data Science Bowl (NCEI Accession 0127422)},
year = {2015},
publisher = {NOAA National Centers for Environmental Information},
doi = {10.7289/v5d21vjd},
url = {https://doi.org/10.7289/v5d21vjd}
}
homepage: >-
https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/accession/download/127422
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_description: >
Data presented here are subset of a larger plankton imagery data set collected
in the subtropical Straits of
Florida from 2014-05-28 to 2014-06-14. Imagery data were collected using the
In Situ Ichthyoplankton Imaging
System (ISIIS-2) as part of a NSF-funded project to assess the biophysical
drivers affecting fine-scale
interactions between larval fish, their prey, and predators. This subset of
images was used in the inaugural
National Data Science Bowl (www.datasciencebowl.com) hosted by Kaggle and
sponsored by Booz Allen Hamilton.
Data were originally collected to examine the biophysical drivers affecting
fine-scale (spatial) interactions
between larval fish, their prey, and predators in a subtropical pelagic marine
ecosystem. Image segments
extracted from the raw data were sorted into 121 plankton classes, split 50:50
into train and test data sets,
and provided for a machine learning competition (the National Data Science
Bowl). There was no hierarchical
relationships explicit in the 121 plankton classes, though the class naming
convention and a tree-like diagram
(see file "Plankton Relationships.pdf") indicated relationships between
classes, whether it was taxonomic or
structural (size and shape). We intend for this dataset to be available to the
machine learning and computer
vision community as a standard machine learning benchmark. This ''Plankton
1.0'' dataset is a medium-size
dataset with a fair amount of complexity where image classification
improvements can still be made.
source_url: >-
https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/accession/download/127422
citation_bibtex: |-
@dataset{dataset:planktonset1.0,
author = {Cowen, Robert K. and
Sponaugle, Su and
Robinson, Kelly L. and
Luo, Jessica and
Guigand, Cedric},
title = {PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National Data Science Bowl (NCEI Accession 0127422)},
year = {2015},
publisher = {NOAA National Centers for Environmental Information},
doi = {10.7289/v5d21vjd},
url = {https://doi.org/10.7289/v5d21vjd}
}
citation_apa: >
Cowen, R. K., Sponaugle, S., Robinson, K. L., Luo, J., & Guigand, C. (2015).
PlanktonSet 1.0: Plankton imagery data
collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to
2014-06-06 and used in the 2015 National
Data Science Bowl (NCEI Accession 0127422) [PlanktonSet 1.0 (Version 2.3)].
NOAA National Centers for Environmental Information.
https://doi.org/10.7289/v5d21vjd
hf_dataset_name: planktonset1.0
hf_org_name: project-oceania
report_markdown: >
**Samples per class for split `train`**
```─────────────────────── Label histogram for train split ───────────────────────
0: acantharia_protist ▇▇▇▇▇▇▇▇▇▇ 1795.00
1: acantharia_protist_big_center 31.00
2: acantharia_protist_halo ▇ 136.00
3: amphipods ▇ 111.00
4: appendicularian_fritillaridae 35.00
5: appendicularian_s_shape ▇▇▇▇▇▇▇▇ 1386.00
6: appendicularian_slight_curve ▇▇▇▇▇▇ 1068.00
7: appendicularian_straight ▇▇▇ 473.00
8: artifacts ▇▇▇▇▇ 818.00
9: artifacts_edge ▇▇ 329.00
10: chaetognath_non_sagitta ▇▇▇▇▇▇▇▇▇ 1640.00
11: chaetognath_other ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
3883.00
12: chaetognath_sagitta ▇▇▇▇▇▇▇▇ 1399.00
13: chordate_type1 ▇ 152.00
14: copepod_calanoid ▇▇▇▇▇▇▇▇ 1380.00
15: copepod_calanoid_eggs ▇▇ 325.00
16: copepod_calanoid_eucalanus ▇ 208.00
17: copepod_calanoid_flatheads ▇▇ 361.00
18: copepod_calanoid_frillyAntennae ▇ 136.00
19: copepod_calanoid_large ▇▇▇ 553.00
20: copepod_calanoid_large_side_antennatucked ▇ 186.00
21: copepod_calanoid_octomoms ▇ 104.00
22: copepod_calanoid_small_longantennae ▇ 175.00
23: copepod_cyclopoid_copilia 69.00
24: copepod_cyclopoid_oithona ▇▇▇▇▇▇▇▇▇▇ 1772.00
25: copepod_cyclopoid_oithona_eggs ▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2418.00
26: copepod_other 45.00
27: crustacean_other ▇▇ 441.00
28: ctenophore_cestid ▇ 225.00
29: ctenophore_cydippid_no_tentacles ▇ 92.00
30: ctenophore_cydippid_tentacles ▇ 112.00
31: ctenophore_lobate 74.00
32: decapods ▇ 127.00
33: detritus_blob ▇▇▇▇ 752.00
34: detritus_filamentous ▇▇▇▇ 774.00
35: detritus_other ▇▇▇▇▇▇▇▇▇▇ 1767.00
36: diatom_chain_string ▇▇▇▇▇▇ 1065.00
37: diatom_chain_tube ▇▇▇▇▇▇ 1070.00
38: echinoderm_larva_pluteus_brittlestar 73.00
39: echinoderm_larva_pluteus_early ▇ 178.00
40: echinoderm_larva_pluteus_typeC ▇ 157.00
41: echinoderm_larva_pluteus_urchin ▇ 179.00
42: echinoderm_larva_seastar_bipinnaria ▇▇▇▇ 780.00
43: echinoderm_larva_seastar_brachiolaria ▇▇▇▇▇▇ 1120.00
44: echinoderm_seacucumber_auricularia_larva ▇ 213.00
45: echinopluteus 60.00
46: ephyra 22.00
47: euphausiids ▇▇ 268.00
48: euphausiids_young 72.00
49: fecal_pellet ▇▇▇▇▇▇ 1029.00
50: fish_larvae_deep_body 22.00
51: fish_larvae_leptocephali 50.00
52: fish_larvae_medium_body ▇ 174.00
53: fish_larvae_myctophids ▇ 210.00
54: fish_larvae_thin_body ▇ 161.00
55: fish_larvae_very_thin_body 43.00
56: heteropod 21.00
57: hydromedusae_aglaura ▇ 236.00
58: hydromedusae_bell_and_tentacles ▇ 167.00
59: hydromedusae_h15 64.00
60: hydromedusae_haliscera ▇▇ 431.00
61: hydromedusae_haliscera_small_sideview 22.00
62: hydromedusae_liriope 43.00
63: hydromedusae_narco_dark 51.00
64: hydromedusae_narco_young ▇▇▇▇ 629.00
65: hydromedusae_narcomedusae ▇ 256.00
66: hydromedusae_other 20.00
67: hydromedusae_partial_dark ▇▇ 364.00
68: hydromedusae_shapeA ▇▇▇▇▇ 842.00
69: hydromedusae_shapeA_sideview_small ▇▇▇ 533.00
70: hydromedusae_shapeB ▇▇ 278.00
71: hydromedusae_sideview_big ▇ 151.00
72: hydromedusae_solmaris ▇▇▇▇▇▇▇▇ 1392.00
73: hydromedusae_solmundella ▇ 234.00
74: hydromedusae_typeD ▇ 106.00
75: hydromedusae_typeD_bell_and_tentacles ▇ 106.00
76: hydromedusae_typeE 26.00
77: hydromedusae_typeF ▇ 119.00
78: invertebrate_larvae_other_A 36.00
79: invertebrate_larvae_other_B 49.00
80: jellies_tentacles ▇▇ 309.00
81: polychaete ▇ 244.00
82: protist_dark_center ▇ 238.00
83: protist_fuzzy_olive ▇▇▇▇ 736.00
84: protist_noctiluca ▇▇▇▇▇▇▇ 1258.00
85: protist_other ▇▇▇▇▇▇▇▇▇▇▇▇▇ 2347.00
86: protist_star ▇ 215.00
87: pteropod_butterfly ▇ 207.00
88: pteropod_theco_dev_seq 25.00
89: pteropod_triangle ▇ 123.00
90: radiolarian_chain ▇▇▇ 578.00
91: radiolarian_colony ▇▇ 318.00
92: shrimp-like_other ▇ 99.00
93: shrimp_caridean 86.00
94: shrimp_sergestidae ▇▇ 316.00
95: shrimp_zoea ▇▇ 321.00
96: siphonophore_calycophoran_abylidae ▇▇ 414.00
97: siphonophore_calycophoran_rocketship_adult ▇ 263.00
98: siphonophore_calycophoran_rocketship_young ▇▇▇▇▇▇ 981.00
99: siphonophore_calycophoran_sphaeronectes ▇▇ 368.00
100: siphonophore_calycophoran_sphaeronectes_stem ▇ 104.00
101: siphonophore_calycophoran_sphaeronectes_young ▇▇▇ 501.00
102: siphonophore_other_parts 68.00
103: siphonophore_partial 66.00
104: siphonophore_physonect ▇ 254.00
105: siphonophore_physonect_young 43.00
106: stomatopod 60.00
107: tornaria_acorn_worm_larvae 73.00
108: trichodesmium_bowtie ▇▇▇▇▇▇▇▇ 1379.00
109: trichodesmium_multiple ▇ 104.00
110: trichodesmium_puff ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇
3881.00
111: trichodesmium_tuft ▇▇▇▇▇▇▇▇ 1364.00
112: trochophore_larvae 49.00
113: tunicate_doliolid ▇▇▇▇▇ 894.00
114: tunicate_doliolid_nurse ▇▇▇▇▇ 799.00
115: tunicate_partial ▇▇▇▇ 706.00
116: tunicate_salp ▇▇▇ 474.00
117: tunicate_salp_chains ▇ 151.00
118: unknown_blobs_and_smudges ▇▇▇▇ 639.00
119: unknown_sticks ▇▇ 341.00
120: unknown_unclassified ▇▇▇▇▇ 866.00
```
dataset_means: '[0.9428176800405342]'
dataset_stds: '[0.16388216021309618]'
Dataset PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National Data Science Bowl (NCEI Accession 0127422)
Data presented here are subset of a larger plankton imagery data set collected in the subtropical Straits of Florida from 2014-05-28 to 2014-06-14. Imagery data were collected using the In Situ Ichthyoplankton Imaging System (ISIIS-2) as part of a NSF-funded project to assess the biophysical drivers affecting fine-scale interactions between larval fish, their prey, and predators. This subset of images was used in the inaugural National Data Science Bowl (www.datasciencebowl.com) hosted by Kaggle and sponsored by Booz Allen Hamilton. Data were originally collected to examine the biophysical drivers affecting fine-scale (spatial) interactions between larval fish, their prey, and predators in a subtropical pelagic marine ecosystem. Image segments extracted from the raw data were sorted into 121 plankton classes, split 50:50 into train and test data sets, and provided for a machine learning competition (the National Data Science Bowl). There was no hierarchical relationships explicit in the 121 plankton classes, though the class naming convention and a tree-like diagram (see file "Plankton Relationships.pdf") indicated relationships between classes, whether it was taxonomic or structural (size and shape). We intend for this dataset to be available to the machine learning and computer vision community as a standard machine learning benchmark. This ''Plankton 1.0'' dataset is a medium-size dataset with a fair amount of complexity where image classification improvements can still be made.
- Original dataset available online at: https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/accession/download/127422.
- Original dataset license: <cc-by-nc-4.0>.
Details
- train split means (RGB): [0.9428176800405342]
- train split standard deviations (RGB): [0.16388216021309618]
Samples per class for split train
0: acantharia_protist ▇▇▇▇▇▇▇▇▇▇ 1795.00
1: acantharia_protist_big_center 31.00
2: acantharia_protist_halo ▇ 136.00
3: amphipods ▇ 111.00
4: appendicularian_fritillaridae 35.00
5: appendicularian_s_shape ▇▇▇▇▇▇▇▇ 1386.00
6: appendicularian_slight_curve ▇▇▇▇▇▇ 1068.00
7: appendicularian_straight ▇▇▇ 473.00
8: artifacts ▇▇▇▇▇ 818.00
9: artifacts_edge ▇▇ 329.00
10: chaetognath_non_sagitta ▇▇▇▇▇▇▇▇▇ 1640.00
11: chaetognath_other ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 3883.00
12: chaetognath_sagitta ▇▇▇▇▇▇▇▇ 1399.00
13: chordate_type1 ▇ 152.00
14: copepod_calanoid ▇▇▇▇▇▇▇▇ 1380.00
15: copepod_calanoid_eggs ▇▇ 325.00
16: copepod_calanoid_eucalanus ▇ 208.00
17: copepod_calanoid_flatheads ▇▇ 361.00
18: copepod_calanoid_frillyAntennae ▇ 136.00
19: copepod_calanoid_large ▇▇▇ 553.00
20: copepod_calanoid_large_side_antennatucked ▇ 186.00
21: copepod_calanoid_octomoms ▇ 104.00
22: copepod_calanoid_small_longantennae ▇ 175.00
23: copepod_cyclopoid_copilia 69.00
24: copepod_cyclopoid_oithona ▇▇▇▇▇▇▇▇▇▇ 1772.00
25: copepod_cyclopoid_oithona_eggs ▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 2418.00
26: copepod_other 45.00
27: crustacean_other ▇▇ 441.00
28: ctenophore_cestid ▇ 225.00
29: ctenophore_cydippid_no_tentacles ▇ 92.00
30: ctenophore_cydippid_tentacles ▇ 112.00
31: ctenophore_lobate 74.00
32: decapods ▇ 127.00
33: detritus_blob ▇▇▇▇ 752.00
34: detritus_filamentous ▇▇▇▇ 774.00
35: detritus_other ▇▇▇▇▇▇▇▇▇▇ 1767.00
36: diatom_chain_string ▇▇▇▇▇▇ 1065.00
37: diatom_chain_tube ▇▇▇▇▇▇ 1070.00
38: echinoderm_larva_pluteus_brittlestar 73.00
39: echinoderm_larva_pluteus_early ▇ 178.00
40: echinoderm_larva_pluteus_typeC ▇ 157.00
41: echinoderm_larva_pluteus_urchin ▇ 179.00
42: echinoderm_larva_seastar_bipinnaria ▇▇▇▇ 780.00
43: echinoderm_larva_seastar_brachiolaria ▇▇▇▇▇▇ 1120.00
44: echinoderm_seacucumber_auricularia_larva ▇ 213.00
45: echinopluteus 60.00
46: ephyra 22.00
47: euphausiids ▇▇ 268.00
48: euphausiids_young 72.00
49: fecal_pellet ▇▇▇▇▇▇ 1029.00
50: fish_larvae_deep_body 22.00
51: fish_larvae_leptocephali 50.00
52: fish_larvae_medium_body ▇ 174.00
53: fish_larvae_myctophids ▇ 210.00
54: fish_larvae_thin_body ▇ 161.00
55: fish_larvae_very_thin_body 43.00
56: heteropod 21.00
57: hydromedusae_aglaura ▇ 236.00
58: hydromedusae_bell_and_tentacles ▇ 167.00
59: hydromedusae_h15 64.00
60: hydromedusae_haliscera ▇▇ 431.00
61: hydromedusae_haliscera_small_sideview 22.00
62: hydromedusae_liriope 43.00
63: hydromedusae_narco_dark 51.00
64: hydromedusae_narco_young ▇▇▇▇ 629.00
65: hydromedusae_narcomedusae ▇ 256.00
66: hydromedusae_other 20.00
67: hydromedusae_partial_dark ▇▇ 364.00
68: hydromedusae_shapeA ▇▇▇▇▇ 842.00
69: hydromedusae_shapeA_sideview_small ▇▇▇ 533.00
70: hydromedusae_shapeB ▇▇ 278.00
71: hydromedusae_sideview_big ▇ 151.00
72: hydromedusae_solmaris ▇▇▇▇▇▇▇▇ 1392.00
73: hydromedusae_solmundella ▇ 234.00
74: hydromedusae_typeD ▇ 106.00
75: hydromedusae_typeD_bell_and_tentacles ▇ 106.00
76: hydromedusae_typeE 26.00
77: hydromedusae_typeF ▇ 119.00
78: invertebrate_larvae_other_A 36.00
79: invertebrate_larvae_other_B 49.00
80: jellies_tentacles ▇▇ 309.00
81: polychaete ▇ 244.00
82: protist_dark_center ▇ 238.00
83: protist_fuzzy_olive ▇▇▇▇ 736.00
84: protist_noctiluca ▇▇▇▇▇▇▇ 1258.00
85: protist_other ▇▇▇▇▇▇▇▇▇▇▇▇▇ 2347.00
86: protist_star ▇ 215.00
87: pteropod_butterfly ▇ 207.00
88: pteropod_theco_dev_seq 25.00
89: pteropod_triangle ▇ 123.00
90: radiolarian_chain ▇▇▇ 578.00
91: radiolarian_colony ▇▇ 318.00
92: shrimp-like_other ▇ 99.00
93: shrimp_caridean 86.00
94: shrimp_sergestidae ▇▇ 316.00
95: shrimp_zoea ▇▇ 321.00
96: siphonophore_calycophoran_abylidae ▇▇ 414.00
97: siphonophore_calycophoran_rocketship_adult ▇ 263.00
98: siphonophore_calycophoran_rocketship_young ▇▇▇▇▇▇ 981.00
99: siphonophore_calycophoran_sphaeronectes ▇▇ 368.00
100: siphonophore_calycophoran_sphaeronectes_stem ▇ 104.00
101: siphonophore_calycophoran_sphaeronectes_young ▇▇▇ 501.00
102: siphonophore_other_parts 68.00
103: siphonophore_partial 66.00
104: siphonophore_physonect ▇ 254.00
105: siphonophore_physonect_young 43.00
106: stomatopod 60.00
107: tornaria_acorn_worm_larvae 73.00
108: trichodesmium_bowtie ▇▇▇▇▇▇▇▇ 1379.00
109: trichodesmium_multiple ▇ 104.00
110: trichodesmium_puff ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 3881.00
111: trichodesmium_tuft ▇▇▇▇▇▇▇▇ 1364.00
112: trochophore_larvae 49.00
113: tunicate_doliolid ▇▇▇▇▇ 894.00
114: tunicate_doliolid_nurse ▇▇▇▇▇ 799.00
115: tunicate_partial ▇▇▇▇ 706.00
116: tunicate_salp ▇▇▇ 474.00
117: tunicate_salp_chains ▇ 151.00
118: unknown_blobs_and_smudges ▇▇▇▇ 639.00
119: unknown_sticks ▇▇ 341.00
120: unknown_unclassified ▇▇▇▇▇ 866.00
Reference
Cowen, R. K., Sponaugle, S., Robinson, K. L., Luo, J., & Guigand, C. (2015). PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National Data Science Bowl (NCEI Accession 0127422) [PlanktonSet 1.0 (Version 2.3)]. NOAA National Centers for Environmental Information. https://doi.org/10.7289/v5d21vjd
BibTEX
@dataset{dataset:planktonset1.0,
author = {Cowen, Robert K. and
Sponaugle, Su and
Robinson, Kelly L. and
Luo, Jessica and
Guigand, Cedric},
title = {PlanktonSet 1.0: Plankton imagery data collected from F.G. Walton Smith in Straits of Florida from 2014-06-03 to 2014-06-06 and used in the 2015 National Data Science Bowl (NCEI Accession 0127422)},
year = {2015},
publisher = {NOAA National Centers for Environmental Information},
doi = {10.7289/v5d21vjd},
url = {https://doi.org/10.7289/v5d21vjd}
}
Usage
from datasets import load_dataset
dataset = load_dataset("project-oceania/planktonset1.0")