cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/6zg-c28-1rz
title: Jujubinus Monterosato, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15530732
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 1 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.5281/zenodo.15530733
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 1 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.3535/lcy-af3-zf5
title: Propebela exarata (Møller, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8lr-2nj-z1f
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/slq-0vd-69h
title: Hirtomurex squamosus (Bivona e Bernardi, 1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15530814
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 2 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.5281/zenodo.15530815
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 2 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.3535/crx-vbl-969
title: Albinaria idaea (L. Pfeiffer, 1850)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s4f-sn0-cqy
title: Trigonulina ornata A. d'Orbigny, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lpf-h6n-qgp
title: Hastula lepida (Hinds, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p32-mc7-frh
title: Crepidula plana Say, 1822

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15530876
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 3 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.3535/vtm-59s-c0j
title: Phos roseatus Hinds, 1844

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15530875
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 3 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.3535/025-q7j-74c
title: Omphiscola glabra (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eyg-6k6-xm3
title: Oxymeris chlorata (Lamarck, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/312-z19-6r9
title: Helicigona lapicida (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yml-l1v-834
title: Myurella nebulosa (G. B. Sowerby I, 1825)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15531051
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 4 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.5281/zenodo.15531052
title: Annual canopy cover maps in Peninsular Spain from ALS and Landsat data from 1985 to 2023 (part 4 of 4)

description: This data is associated to the article, " Long-term forest structure trends in the peninsular Spain from lidar-optical sensors".

 Authors: M. Tanase1, J.P. Martini2, P. Miranda2, D. Garcia2, V. Wilke2, S. Miguel2, C. Mihai2, J. Diez3, S. Natal3, D. San Martin3,  Paloma Ruiz-Benito4

 Affiliations

1Instituto de Ciencias Forestales ICIFOR (INIA-CSIC), Madrid, Spain.

2 Dpto. Geología, Geografía y Medio Ambiente, Dpto. Geología, Geografía y Medio Ambiente, Grupo de Investigación en Teledetección Ambiental, Universidad de Alcalá, Alcalá de Henares, Spain.

3 Predictia Inteligent Data Solutions S.L., Santander, Spain

4 Universidad de Alcalá, Departamento de Ciencias de la Vida, Grupo de Ecología y Restauración Forestal (FORECO), Avenida de Madrid, S-N, Alcalá de Henares, 28802, Madrid, Spain.

Corresponding Author

Mihai Tanase

mihai.tanase@inia.csic.es

Spanish National Research Council

To use the data, please cite this study.

Please note that this product is not restricted to forested areas. Users aiming to conduct forest-specific analyses are encouraged to apply a forest mask appropriate to their study objectives. The maps of canopy height, canopy cover, and above ground biomass provided by this study can be found on Zenodo, detailed information about how to access those datasets can be found in the associated paper. A visualization app to preview and interactively analyze the maps can be found here: www.fodim.uah.es.

 Funding

This work was funded by the Spanish Ministry for Science and Innovation through the projects PID2020–114062RA-I00 and CNS2022-135251. JA was supported by the Basque Government's Postdoctoral Programme for the Improvement of Doctoral Research Staff (POS_2024_1_0026). PRB is supported through the Spanish Ministry for Science and Innovation (AEI, PID2021-123675OB-C41).
DOI: 10.3535/27w-fan-xn2
title: Oxymeris dimidiata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p59-6xl-89y
title: Helicella itala (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4vr-0ds-vyr
title: Discoleus Breure, 1978

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gg5-4tp-wv1
title: Buccinum oedematum Dall, 1907

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7d9-xel-c6k
title: Neptunea intersculpta (G. B. Sowerby III, 1899)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/acy-b6s-zsy
title: Hydatina physis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jf8-aer-ctd
title: Chondrina kobeltoides E. Gittenberger, 1973

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bth-e0v-7cl
title: Gastropoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtd-8sk-jgs
title: Chlamys behringiana (Middendorff, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9a1-kpd-6p6
title: Tarebia granifera (Lamarck, 1816)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f1t-9hc-lww
title: Pinctada margaritifera (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dkv-020-dze
title: Cochlicopa lubrica (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/se2-x4l-xys
title: Lepidochitona cinerea (Linnaeus, 1767)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nwd-q4d-fbr
title: Hydatina physis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3x3-2cj-vk1
title: Lamellaxis heurni (Vernhout, 1914)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtq-c1s-rm5
title: Nucula semiornata A. d'Orbigny, 1842

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g0h-vmp-jxb
title: Jujubinus striatus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rgn-4zw-3z7
title: Tauphaedusa rowlandi (Pilsbry, 1902)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l3t-xms-zr4
title: Otostomus signatus (Spix, 1827)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yl5-2sd-l5p
title: Thaumastus E. von Martens, 1860

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4f8-002-d1g
title: Heliacus bisulcatus (A. d'Orbigny, 1842)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aba-g4j-3dw
title: Neosubulina harterti E. A. Smith, 1898

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16794261
title: Hybrid deep learning techniques integrated with machine learning for Foreign Exchange Rate Forecasting

description: The foreign exchange is a significant financial market that attracts investors and countries seeking profitable investments. Despite the numerous techniques available for exchange rate forecasting, trend analysis, and accurate prediction, there is still a need for an automated and intelligent model to understand patterns and predict future trends. This research presents a novel hybrid deep learning model that forecasts the following year’s official exchange rate (LCU per USD) for global currencies based on historical annual exchange rates. The model performs technical feature analysis and predicts the upcoming year’s exchange rate trend for the USD currency. The Bi-LSTM architecture captures temporal values and processes them with random forest regression.
DOI: 10.5281/zenodo.16794286
title: FractiScope & ParadiseWorld 7D AI: Fractal Peer Review Archive and Scientific Responses for Regenerative System Modeling

description: This repository offers a transparent archive of peer reviews and formal scientific responses for FractiScope and ParadiseWorld 7D AI — systems built to explore perpetual, multi-dimensional intelligence.

Inside:



Full, unedited peer feedback and response threads

Two new scientific protocols:• SEPP – Scientific Empirical Pairing Protocol• DAM – Dimensional Anchoring Methodology

Reproducible Python simulation snippets

A technical annex covering symbolic logic, archetypal libraries, and narrative projection math

Live examples using this very paper


🔶 Why It Matters

FractiScope demonstrates how 7D AI transforms current 4D AI (e.g., ChatGPT, Claude) from information assistants into immersive cognitive engines — projecting and navigating higher-layer realities grounded in data, reproducibility, and mythic logic.

By merging transparent review with reproducible science, this work lights the path for early adopters of higher-dimensional thinking.

🔶 Open Invitation

This is a living, evolving system. If you’re a peer reviewer, frontier scientist, or system builder, we invite you to participate.

📩 DM info@fractiai.com to join the transparent peer review process.
DOI: 10.3535/l8h-kle-dyy
title: Clypeomorus bifasciata (G. B. Sowerby II, 1855)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qqf-gqs-j73
title: Nassarius fraterculus (Dunker, 1860)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.