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--- |
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license: cc-by-nc-4.0 |
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task_categories: |
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- image-classification |
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paperswithcode_id: medplanktonset |
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pretty_name: MedPlanktonSet - A dataset of labeled IFCB images from the Mediterranean |
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Sea |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': Akashiwo_sanguinea |
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'1': Alexandrium_spp |
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'2': Amphidinium_spp |
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'3': Appendicularia |
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'4': Asterionellopsis_cf._glacialis |
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'5': Asteromphalus_sarcophagus |
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'6': Asteromphalus_spp |
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'7': Azadinium_caudatum |
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'8': Bacteriastrum_spp |
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'9': Calciopappus_caudatus |
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'10': Calciosolenia_brasiliensis |
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'11': Centric_diatoms |
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'12': Cerataulina_pelagica |
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'13': Ceratoperidinium_margalefii |
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'14': Chaetoceros_anastomonsans |
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'15': Chaetoceros_curvisetus_Chaetoceros_pseudocurvisetus |
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'16': Chaetoceros_danicus |
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'17': Chaetoceros_decipiens |
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'18': Chaetoceros_diversus |
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'19': Chaetoceros_peruvianus |
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'20': Chaetoceros_protuberans_Chaetoceros_didymus |
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'21': Chaetoceros_socialis |
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'22': Chaetoceros_spp |
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'23': Chaetoceros_tortissimus |
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'24': Chrysochromulina_lanceolata |
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'25': Chrysochromulina_parkeae |
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'26': Ciliates |
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'27': Cladopyxis_cf._brachiolata |
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'28': Copepod_copepodites |
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'29': Copepod_eggs |
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'30': Copepod_nauplii |
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'31': Corythodinium_constrictum |
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'32': Corythodinium_milneri |
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'33': Cryptophyceae |
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'34': Cylindrotheca_closterium-like |
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'35': Dactyliosolen_blavyanus |
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'36': Dactyliosolen_fragilissimus |
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'37': Dictyocha_fibula |
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'38': Dictyocysta_spp._Codonaria_spp |
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'39': Dinobryon_coalescens |
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'40': Dinophysis_caudata |
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'41': Dinophysis_parva |
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'42': Dinophysis_sacculus |
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'43': Dinophysis_spp |
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'44': Dinophysis_tripos |
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'45': Discosphaera_tubifera |
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'46': Eucampia_cornuta |
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'47': Euglenophyceae |
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'48': Gonyaulax_polygramma |
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'49': Gonyaulax_spp |
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'50': Guinardia_flaccida |
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'51': Guinardia_striata_Dactyliosolen_phuketensis |
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'52': Gyrodinium_spirale_Gyrodinium_fusiforme |
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'53': Haslea_silbo |
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'54': Helicotheca_tamesis |
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'55': Hemiaulus_hauckii_Hemiaulus_sinensis |
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'56': Heterocapsa_niei-like |
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'57': Kapelodinium_vestifici |
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'58': Karenia_papilionacea |
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'59': Karenia_spp |
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'60': Lauderia_annulata |
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'61': Leptocylindrus_spp |
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'62': Licmophora_spp |
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'63': Lioloma_pacificum |
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'64': Lithodesmium_variabile |
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'65': Meringosphaera_mediterranea |
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'66': Mesodinium_spp |
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'67': Naked_dinoflagellates |
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'68': Neobrightwellia_alternans |
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'69': Octactis_octonaria |
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'70': Oltmannsiellopsis_viridis |
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'71': Ophiaster_spp |
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'72': Ornithocercus_spp._Histioneis_spp |
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'73': Oxytoxum_cf._caudatum |
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'74': Oxytoxum_cf._scolopax |
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'75': Oxytoxum_cf._variabile |
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'76': Oxytoxum_spp |
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'77': Pennate_diatoms |
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'78': Phaeocystis_jahnii |
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'79': Phalacroma_oxytoxoides |
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'80': Phalacroma_spp |
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'81': Plagiotropis_spp |
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'82': Pleurosigma spp._Gyrosigma_spp |
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'83': Podolampas_palmipes |
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'84': Polykrikos_kofoidii |
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'85': Proboscia_spp._Rhizosolenia_spp |
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'86': Prorocentrum_cf._gracile |
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'87': Prorocentrum_redfieldii |
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'88': Protoceratium_reticulatum |
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'89': Protoperidinium_cf._divergens |
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'90': Protoperidinium_diabolus |
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'91': Pseliodinium_fusus |
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'92': Pseudo-nitzschia_spp._2_cells |
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'93': Pseudo-nitzschia_spp._3_cells |
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'94': Pseudo-nitzschia_spp._4_cells |
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'95': Pseudo-nitzschia_spp._5_cells |
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'96': Pseudo-nitzschia_spp._6_cells |
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'97': Pseudo-nitzschia_spp._7_cells |
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'98': Pseudo-nitzschia_spp._single_cell |
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'99': Pseudosolenia_calcar-avis |
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'100': Pterosperma_spp |
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'101': Pyramimonas_spp |
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'102': Pyrocystis_cf._lunula |
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'103': Pyrophacus_horologium |
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'104': Radiolaria |
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'105': Rhabdosphaera_clavigera |
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'106': Scrippsiella_acuminata_like |
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'107': Scyphosphaera_apsteinii |
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'108': Skeletonema_menzelii |
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'109': Skeletonema_pseudocostatum_Skeletonema_tropicum |
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'110': Sourniaea_diacantha |
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'111': Syracosphaera_pulchra |
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'112': Tenuicylindrus_belgicus |
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'113': Thalassionema_spp |
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'114': Thalassiosira_gravida |
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'115': Thalassiosira_spp |
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'116': Tiarina_spp |
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'117': Tintinnids |
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'118': Torodinium_spp |
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'119': Trachymedusae |
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'120': Trieres_mobiliensis |
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'121': Tripos_arietinus |
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'122': Tripos_azoricus |
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'123': Tripos_cf._minutus |
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'124': Tripos_concilians |
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'125': Tripos_contortus |
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'126': Tripos_declinatus |
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'127': Tripos_euarcuatus |
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'128': Tripos_furca |
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'129': Tripos_fusus |
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'130': Tripos_horridus |
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'131': Tripos_macroceros |
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'132': Tripos_muelleri-like |
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'133': Tripos_pentagonus |
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'134': Tripos_spp |
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'135': Tripos_symmetricus |
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'136': Tripos_teres |
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'137': Umbilicosphaera_sibogae |
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'138': Warnowia_polyphemus |
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splits: |
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- name: train |
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num_bytes: 2571853497 |
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num_examples: 77271 |
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download_size: 1498523431 |
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dataset_size: 2571853497 |
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description: '' |
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dataset_name: MedPlanktonSet - A dataset of labeled IFCB images from the Mediterranean |
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Sea |
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citation: "@article{dataset:medplanktonset,\n author = {Mente MS \\& Houliez\ |
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\ E and\n Scalco E. and\n Roselli L. and\n\ |
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\ Sarno D.},\n title = {MedPlanktonSet - A dataset\ |
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\ of labeled IFCB images\n from the Mediterranean Sea\n \ |
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\ },\n month = jun,\n year = 2025,\n \ |
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\ publisher = {Stazione Zoologica Anton Dohrn},\n doi = {10.5281/zenodo.15471023},\n\ |
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\ url = {https://doi.org/10.5281/zenodo.15471023},\n }" |
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homepage: https://zenodo.org/records/15471023 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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dataset_description: '' |
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source_url: https://zenodo.org/records/15471023 |
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citation_bibtex: "@article{dataset:medplanktonset,\n author = {Mente MS \\\ |
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& Houliez E and\n Scalco E. and\n Roselli\ |
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\ L. and\n Sarno D.},\n title = {MedPlanktonSet - \ |
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\ A dataset of labeled IFCB images\n from the Mediterranean\ |
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\ Sea\n },\n month = jun,\n year = 2025,\n\ |
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\ publisher = {Stazione Zoologica Anton Dohrn},\n doi = {10.5281/zenodo.15471023},\n\ |
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\ url = {https://doi.org/10.5281/zenodo.15471023},\n }" |
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citation_apa: 'Mente MS & Houliez E, Scalco E., Roselli L., & Sarno D. (2025). MedPlanktonSet |
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- A dataset of labeled IFCB images from the |
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Mediterranean Sea [Data set]. Stazione Zoologica Anton Dohrn. https://doi.org/10.5281/zenodo.15471023 |
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' |
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hf_dataset_name: medplanktonset |
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hf_org_name: project-oceania |
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report_markdown: "**Samples per class for split `train`**\n ```────────────────────────\ |
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\ Label histogram for train split ─────────────────────────\n0: Akashiwo_sanguinea\ |
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\ 18.00\n1: Alexandrium_spp \ |
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\ 21.00\n2: Amphidinium_spp \ |
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\ 16.00\n3: Appendicularia 6.00\n\ |
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4: Asterionellopsis_cf._glacialis ▇▇▇▇▇▇▇▇ 5546.00\n5: Asteromphalus_sarcophagus\ |
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\ 26.00\n6: Asteromphalus_spp \ |
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\ 22.00\n7: Azadinium_caudatum \ |
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\ 5.00\n8: Bacteriastrum_spp ▇ 449.00\n9: Calciopappus_caudatus\ |
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\ 7.00\n10: Calciosolenia_brasiliensis \ |
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\ ▇ 371.00\n11: Centric_diatoms \ |
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\ ▇▇▇▇▇ 3098.00\n12: Cerataulina_pelagica ▇ 956.00\n\ |
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13: Ceratoperidinium_margalefii 1.00\n14: Chaetoceros_anastomonsans\ |
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\ 15.00\n15: Chaetoceros_curvisetus_Chaetoceros_pseudocurvisetus\ |
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\ ▇▇▇ 1690.00\n16: Chaetoceros_danicus ▇ 880.00\n\ |
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17: Chaetoceros_decipiens 248.00\n18: Chaetoceros_diversus\ |
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\ 6.00\n19: Chaetoceros_peruvianus \ |
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\ ▇ 540.00\n20: Chaetoceros_protuberans_Chaetoceros_didymus \ |
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\ ▇ 881.00\n21: Chaetoceros_socialis 40.00\n\ |
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22: Chaetoceros_spp ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 12695.00\n\ |
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23: Chaetoceros_tortissimus 87.00\n24: Chrysochromulina_lanceolata\ |
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\ ▇ 670.00\n25: Chrysochromulina_parkeae \ |
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\ ▇ 445.00\n26: Ciliates \ |
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\ ▇ 928.00\n27: Cladopyxis_cf._brachiolata 1.00\n28: Copepod_copepodites\ |
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\ 4.00\n29: Copepod_eggs \ |
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\ 1.00\n30: Copepod_nauplii \ |
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\ 94.00\n31: Corythodinium_constrictum 7.00\n32: Corythodinium_milneri\ |
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\ 5.00\n33: Cryptophyceae \ |
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\ ▇▇▇ 2022.00\n34: Cylindrotheca_closterium-like \ |
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\ ▇ 722.00\n35: Dactyliosolen_blavyanus ▇▇ 1101.00\n\ |
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36: Dactyliosolen_fragilissimus 220.00\n37: Dictyocha_fibula\ |
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\ ▇ 577.00\n38: Dictyocysta_spp._Codonaria_spp\ |
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\ 18.00\n39: Dinobryon_coalescens \ |
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\ ▇ 838.00\n40: Dinophysis_caudata 24.00\n\ |
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41: Dinophysis_parva 8.00\n42: Dinophysis_sacculus\ |
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\ 181.00\n43: Dinophysis_spp \ |
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\ ▇ 443.00\n44: Dinophysis_tripos \ |
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\ 1.00\n45: Discosphaera_tubifera 18.00\n\ |
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46: Eucampia_cornuta ▇▇ 1170.00\n47: Euglenophyceae\ |
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\ 162.00\n48: Gonyaulax_polygramma \ |
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\ 8.00\n49: Gonyaulax_spp \ |
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\ 14.00\n50: Guinardia_flaccida 32.00\n\ |
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51: Guinardia_striata_Dactyliosolen_phuketensis ▇▇ 1469.00\n52: Gyrodinium_spirale_Gyrodinium_fusiforme\ |
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\ 39.00\n53: Haslea_silbo ▇▇▇▇\ |
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\ 2492.00\n54: Helicotheca_tamesis 4.00\n55: Hemiaulus_hauckii_Hemiaulus_sinensis\ |
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\ ▇▇▇▇ 2651.00\n56: Heterocapsa_niei-like \ |
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\ 221.00\n57: Kapelodinium_vestifici 103.00\n\ |
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58: Karenia_papilionacea 3.00\n59: Karenia_spp \ |
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\ 133.00\n60: Lauderia_annulata \ |
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\ ▇▇ 1475.00\n61: Leptocylindrus_spp \ |
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\ ▇▇▇▇▇▇ 4087.00\n62: Licmophora_spp \ |
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\ 31.00\n63: Lioloma_pacificum 5.00\n\ |
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64: Lithodesmium_variabile ▇ 456.00\n65: Meringosphaera_mediterranea\ |
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\ ▇ 698.00\n66: Mesodinium_spp \ |
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\ ▇▇ 1016.00\n67: Naked_dinoflagellates \ |
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\ 300.00\n68: Neobrightwellia_alternans 8.00\n69:\ |
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\ Octactis_octonaria 14.00\n70: Oltmannsiellopsis_viridis\ |
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\ 3.00\n71: Ophiaster_spp \ |
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\ 14.00\n72: Ornithocercus_spp._Histioneis_spp 7.00\n\ |
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73: Oxytoxum_cf._caudatum 23.00\n74: Oxytoxum_cf._scolopax\ |
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\ 7.00\n75: Oxytoxum_cf._variabile \ |
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\ 124.00\n76: Oxytoxum_spp \ |
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\ 12.00\n77: Pennate_diatoms ▇ 790.00\n78:\ |
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\ Phaeocystis_jahnii ▇ 630.00\n79: Phalacroma_oxytoxoides\ |
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\ 1.00\n80: Phalacroma_spp \ |
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\ 5.00\n81: Plagiotropis_spp \ |
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\ 267.00\n82: Pleurosigma spp._Gyrosigma_spp 87.00\n83: Podolampas_palmipes\ |
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\ 1.00\n84: Polykrikos_kofoidii \ |
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\ 4.00\n85: Proboscia_spp._Rhizosolenia_spp \ |
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\ ▇▇▇ 1877.00\n86: Prorocentrum_cf._gracile 204.00\n\ |
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87: Prorocentrum_redfieldii ▇▇▇ 1694.00\n88: Protoceratium_reticulatum\ |
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\ 2.00\n89: Protoperidinium_cf._divergens \ |
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\ 12.00\n90: Protoperidinium_diabolus 27.00\n\ |
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91: Pseliodinium_fusus 42.00\n92: Pseudo-nitzschia_spp._2_cells\ |
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\ ▇▇▇ 1952.00\n93: Pseudo-nitzschia_spp._3_cells \ |
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\ ▇▇ 1149.00\n94: Pseudo-nitzschia_spp._4_cells \ |
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\ ▇ 505.00\n95: Pseudo-nitzschia_spp._5_cells 132.00\n\ |
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96: Pseudo-nitzschia_spp._6_cells 22.00\n97: Pseudo-nitzschia_spp._7_cells\ |
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\ 3.00\n98: Pseudo-nitzschia_spp._single_cell \ |
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\ ▇ 955.00\n99: Pseudosolenia_calcar-avis 2.00\n\ |
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100: Pterosperma_spp 12.00\n101: Pyramimonas_spp\ |
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\ ▇▇ 1383.00\n102: Pyrocystis_cf._lunula \ |
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\ 3.00\n103: Pyrophacus_horologium \ |
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\ 18.00\n104: Radiolaria 86.00\n\ |
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105: Rhabdosphaera_clavigera 146.00\n106: Scrippsiella_acuminata_like\ |
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\ ▇▇ 1395.00\n107: Scyphosphaera_apsteinii \ |
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\ 1.00\n108: Skeletonema_menzelii ▇\ |
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\ 975.00\n109: Skeletonema_pseudocostatum_Skeletonema_tropicum 78.00\n110: Sourniaea_diacantha\ |
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\ 5.00\n111: Syracosphaera_pulchra \ |
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\ 291.00\n112: Tenuicylindrus_belgicus \ |
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\ ▇▇▇ 2221.00\n113: Thalassionema_spp ▇▇▇▇ 2945.00\n\ |
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114: Thalassiosira_gravida ▇▇▇▇ 2412.00\n115: Thalassiosira_spp\ |
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\ ▇ 814.00\n116: Tiarina_spp \ |
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\ 14.00\n117: Tintinnids \ |
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\ 196.00\n118: Torodinium_spp 79.00\n\ |
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119: Trachymedusae 1.00\n120: Trieres_mobiliensis\ |
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\ ▇ 631.00\n121: Tripos_arietinus \ |
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\ 1.00\n122: Tripos_azoricus \ |
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\ 1.00\n123: Tripos_cf._minutus 15.00\n124:\ |
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\ Tripos_concilians 1.00\n125: Tripos_contortus\ |
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\ 1.00\n126: Tripos_declinatus \ |
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\ 2.00\n127: Tripos_euarcuatus \ |
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\ 1.00\n128: Tripos_furca 170.00\n129:\ |
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\ Tripos_fusus 103.00\n130: Tripos_horridus\ |
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\ 1.00\n131: Tripos_macroceros \ |
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\ 1.00\n132: Tripos_muelleri-like \ |
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\ 16.00\n133: Tripos_pentagonus 2.00\n134:\ |
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\ Tripos_spp 9.00\n135: Tripos_symmetricus\ |
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\ 1.00\n136: Tripos_teres \ |
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\ 96.00\n137: Umbilicosphaera_sibogae \ |
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\ 14.00\n138: Warnowia_polyphemus 34.00\n```\n" |
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dataset_means: '[0.6551923469316225]' |
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dataset_stds: '[0.08689574482674113]' |
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--- |
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# Dataset *MedPlanktonSet - A dataset of labeled IFCB images from the Mediterranean Sea* |
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[More Information Needed] |
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- **Original dataset available online at:** <https://zenodo.org/records/15471023>. |
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- **Original dataset license:** <cc-by-nc-4.0>. |
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## Details |
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- **train split means (RGB):** [0.6551923469316225] |
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- **train split standard deviations (RGB):** [0.08689574482674113] |
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**Samples per class for split `train`** |
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```──────────────────────── Label histogram for train split ───────────────────────── |
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0: Akashiwo_sanguinea 18.00 |
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1: Alexandrium_spp 21.00 |
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2: Amphidinium_spp 16.00 |
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3: Appendicularia 6.00 |
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4: Asterionellopsis_cf._glacialis ▇▇▇▇▇▇▇▇ 5546.00 |
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5: Asteromphalus_sarcophagus 26.00 |
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6: Asteromphalus_spp 22.00 |
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7: Azadinium_caudatum 5.00 |
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8: Bacteriastrum_spp ▇ 449.00 |
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9: Calciopappus_caudatus 7.00 |
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10: Calciosolenia_brasiliensis ▇ 371.00 |
|
|
11: Centric_diatoms ▇▇▇▇▇ 3098.00 |
|
|
12: Cerataulina_pelagica ▇ 956.00 |
|
|
13: Ceratoperidinium_margalefii 1.00 |
|
|
14: Chaetoceros_anastomonsans 15.00 |
|
|
15: Chaetoceros_curvisetus_Chaetoceros_pseudocurvisetus ▇▇▇ 1690.00 |
|
|
16: Chaetoceros_danicus ▇ 880.00 |
|
|
17: Chaetoceros_decipiens 248.00 |
|
|
18: Chaetoceros_diversus 6.00 |
|
|
19: Chaetoceros_peruvianus ▇ 540.00 |
|
|
20: Chaetoceros_protuberans_Chaetoceros_didymus ▇ 881.00 |
|
|
21: Chaetoceros_socialis 40.00 |
|
|
22: Chaetoceros_spp ▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 12695.00 |
|
|
23: Chaetoceros_tortissimus 87.00 |
|
|
24: Chrysochromulina_lanceolata ▇ 670.00 |
|
|
25: Chrysochromulina_parkeae ▇ 445.00 |
|
|
26: Ciliates ▇ 928.00 |
|
|
27: Cladopyxis_cf._brachiolata 1.00 |
|
|
28: Copepod_copepodites 4.00 |
|
|
29: Copepod_eggs 1.00 |
|
|
30: Copepod_nauplii 94.00 |
|
|
31: Corythodinium_constrictum 7.00 |
|
|
32: Corythodinium_milneri 5.00 |
|
|
33: Cryptophyceae ▇▇▇ 2022.00 |
|
|
34: Cylindrotheca_closterium-like ▇ 722.00 |
|
|
35: Dactyliosolen_blavyanus ▇▇ 1101.00 |
|
|
36: Dactyliosolen_fragilissimus 220.00 |
|
|
37: Dictyocha_fibula ▇ 577.00 |
|
|
38: Dictyocysta_spp._Codonaria_spp 18.00 |
|
|
39: Dinobryon_coalescens ▇ 838.00 |
|
|
40: Dinophysis_caudata 24.00 |
|
|
41: Dinophysis_parva 8.00 |
|
|
42: Dinophysis_sacculus 181.00 |
|
|
43: Dinophysis_spp ▇ 443.00 |
|
|
44: Dinophysis_tripos 1.00 |
|
|
45: Discosphaera_tubifera 18.00 |
|
|
46: Eucampia_cornuta ▇▇ 1170.00 |
|
|
47: Euglenophyceae 162.00 |
|
|
48: Gonyaulax_polygramma 8.00 |
|
|
49: Gonyaulax_spp 14.00 |
|
|
50: Guinardia_flaccida 32.00 |
|
|
51: Guinardia_striata_Dactyliosolen_phuketensis ▇▇ 1469.00 |
|
|
52: Gyrodinium_spirale_Gyrodinium_fusiforme 39.00 |
|
|
53: Haslea_silbo ▇▇▇▇ 2492.00 |
|
|
54: Helicotheca_tamesis 4.00 |
|
|
55: Hemiaulus_hauckii_Hemiaulus_sinensis ▇▇▇▇ 2651.00 |
|
|
56: Heterocapsa_niei-like 221.00 |
|
|
57: Kapelodinium_vestifici 103.00 |
|
|
58: Karenia_papilionacea 3.00 |
|
|
59: Karenia_spp 133.00 |
|
|
60: Lauderia_annulata ▇▇ 1475.00 |
|
|
61: Leptocylindrus_spp ▇▇▇▇▇▇ 4087.00 |
|
|
62: Licmophora_spp 31.00 |
|
|
63: Lioloma_pacificum 5.00 |
|
|
64: Lithodesmium_variabile ▇ 456.00 |
|
|
65: Meringosphaera_mediterranea ▇ 698.00 |
|
|
66: Mesodinium_spp ▇▇ 1016.00 |
|
|
67: Naked_dinoflagellates 300.00 |
|
|
68: Neobrightwellia_alternans 8.00 |
|
|
69: Octactis_octonaria 14.00 |
|
|
70: Oltmannsiellopsis_viridis 3.00 |
|
|
71: Ophiaster_spp 14.00 |
|
|
72: Ornithocercus_spp._Histioneis_spp 7.00 |
|
|
73: Oxytoxum_cf._caudatum 23.00 |
|
|
74: Oxytoxum_cf._scolopax 7.00 |
|
|
75: Oxytoxum_cf._variabile 124.00 |
|
|
76: Oxytoxum_spp 12.00 |
|
|
77: Pennate_diatoms ▇ 790.00 |
|
|
78: Phaeocystis_jahnii ▇ 630.00 |
|
|
79: Phalacroma_oxytoxoides 1.00 |
|
|
80: Phalacroma_spp 5.00 |
|
|
81: Plagiotropis_spp 267.00 |
|
|
82: Pleurosigma spp._Gyrosigma_spp 87.00 |
|
|
83: Podolampas_palmipes 1.00 |
|
|
84: Polykrikos_kofoidii 4.00 |
|
|
85: Proboscia_spp._Rhizosolenia_spp ▇▇▇ 1877.00 |
|
|
86: Prorocentrum_cf._gracile 204.00 |
|
|
87: Prorocentrum_redfieldii ▇▇▇ 1694.00 |
|
|
88: Protoceratium_reticulatum 2.00 |
|
|
89: Protoperidinium_cf._divergens 12.00 |
|
|
90: Protoperidinium_diabolus 27.00 |
|
|
91: Pseliodinium_fusus 42.00 |
|
|
92: Pseudo-nitzschia_spp._2_cells ▇▇▇ 1952.00 |
|
|
93: Pseudo-nitzschia_spp._3_cells ▇▇ 1149.00 |
|
|
94: Pseudo-nitzschia_spp._4_cells ▇ 505.00 |
|
|
95: Pseudo-nitzschia_spp._5_cells 132.00 |
|
|
96: Pseudo-nitzschia_spp._6_cells 22.00 |
|
|
97: Pseudo-nitzschia_spp._7_cells 3.00 |
|
|
98: Pseudo-nitzschia_spp._single_cell ▇ 955.00 |
|
|
99: Pseudosolenia_calcar-avis 2.00 |
|
|
100: Pterosperma_spp 12.00 |
|
|
101: Pyramimonas_spp ▇▇ 1383.00 |
|
|
102: Pyrocystis_cf._lunula 3.00 |
|
|
103: Pyrophacus_horologium 18.00 |
|
|
104: Radiolaria 86.00 |
|
|
105: Rhabdosphaera_clavigera 146.00 |
|
|
106: Scrippsiella_acuminata_like ▇▇ 1395.00 |
|
|
107: Scyphosphaera_apsteinii 1.00 |
|
|
108: Skeletonema_menzelii ▇ 975.00 |
|
|
109: Skeletonema_pseudocostatum_Skeletonema_tropicum 78.00 |
|
|
110: Sourniaea_diacantha 5.00 |
|
|
111: Syracosphaera_pulchra 291.00 |
|
|
112: Tenuicylindrus_belgicus ▇▇▇ 2221.00 |
|
|
113: Thalassionema_spp ▇▇▇▇ 2945.00 |
|
|
114: Thalassiosira_gravida ▇▇▇▇ 2412.00 |
|
|
115: Thalassiosira_spp ▇ 814.00 |
|
|
116: Tiarina_spp 14.00 |
|
|
117: Tintinnids 196.00 |
|
|
118: Torodinium_spp 79.00 |
|
|
119: Trachymedusae 1.00 |
|
|
120: Trieres_mobiliensis ▇ 631.00 |
|
|
121: Tripos_arietinus 1.00 |
|
|
122: Tripos_azoricus 1.00 |
|
|
123: Tripos_cf._minutus 15.00 |
|
|
124: Tripos_concilians 1.00 |
|
|
125: Tripos_contortus 1.00 |
|
|
126: Tripos_declinatus 2.00 |
|
|
127: Tripos_euarcuatus 1.00 |
|
|
128: Tripos_furca 170.00 |
|
|
129: Tripos_fusus 103.00 |
|
|
130: Tripos_horridus 1.00 |
|
|
131: Tripos_macroceros 1.00 |
|
|
132: Tripos_muelleri-like 16.00 |
|
|
133: Tripos_pentagonus 2.00 |
|
|
134: Tripos_spp 9.00 |
|
|
135: Tripos_symmetricus 1.00 |
|
|
136: Tripos_teres 96.00 |
|
|
137: Umbilicosphaera_sibogae 14.00 |
|
|
138: Warnowia_polyphemus 34.00 |
|
|
``` |
|
|
|
|
|
|
|
|
## Reference |
|
|
Mente MS & Houliez E, Scalco E., Roselli L., & Sarno D. (2025). MedPlanktonSet - A dataset of labeled IFCB images from the |
|
|
Mediterranean Sea [Data set]. Stazione Zoologica Anton Dohrn. https://doi.org/10.5281/zenodo.15471023 |
|
|
|
|
|
|
|
|
### BibTEX |
|
|
```bibtex |
|
|
@article{dataset:medplanktonset, |
|
|
author = {Mente MS \& Houliez E and |
|
|
Scalco E. and |
|
|
Roselli L. and |
|
|
Sarno D.}, |
|
|
title = {MedPlanktonSet - A dataset of labeled IFCB images |
|
|
from the Mediterranean Sea |
|
|
}, |
|
|
month = jun, |
|
|
year = 2025, |
|
|
publisher = {Stazione Zoologica Anton Dohrn}, |
|
|
doi = {10.5281/zenodo.15471023}, |
|
|
url = {https://doi.org/10.5281/zenodo.15471023}, |
|
|
} |
|
|
``` |
|
|
|
|
|
## Usage |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
|
|
|
dataset = load_dataset("project-oceania/medplanktonset") |
|
|
``` |
