cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15303616
title: MTCPINet: A Unified Multi-Task Deep Learning Framework for Prediction of Compound-Protein Interaction in Drug Discovery

description: The accurate prediction of molecular interactions and binding affinities between compounds and their target proteins are a pivotal focus in the field of drug discovery. Traditional single-task models for predicting such compound-protein interaction (CPI) require chaining multiple specialized models to perform compound screening, which can lead to error accumulation and inefficiencies. In this study, we propose a novel multi-task deep learning framework MTCPINet, which integrates classification and regression tasks into a unified model, enabling simultaneous prediction of compound-protein interaction activity and the corresponding binding affinity. To address data heterogeneity between different tasks, this study employs a newly curated high-quality dataset of compound-protein pairs sourced from ChEMBL, paired with a “cold-start for compounds” data preparation strategy. In MTCPINet, the network architecture synergistically combines Graph Isomorphism Network Convolution (GINConv), Convolutional Neural Networks (CNN), a one-dimensional Convolutional Block Attention Module (1D CBAM), and residual modules. And a masking mechanism is incorporated during training to ensure that regression loss is applied exclusively to active compound-target pairs. This design streamlines the drug discovery process through the precise identification of high-quality effective target proteins. Leveraging robust data reutilization strategies, our MTCPINet not only demonstrates potential for drug repositioning, but also facilitates the prediction of target proteins for natural products from traditional Chinese medicine (TCM).
DOI: 10.5281/zenodo.15303617
title: MTCPINet: A Unified Multi-Task Deep Learning Framework for Prediction of Compound-Protein Interaction in Drug Discovery

description: The accurate prediction of molecular interactions and binding affinities between compounds and their target proteins are a pivotal focus in the field of drug discovery. Traditional single-task models for predicting such compound-protein interaction (CPI) require chaining multiple specialized models to perform compound screening, which can lead to error accumulation and inefficiencies. In this study, we propose a novel multi-task deep learning framework MTCPINet, which integrates classification and regression tasks into a unified model, enabling simultaneous prediction of compound-protein interaction activity and the corresponding binding affinity. To address data heterogeneity between different tasks, this study employs a newly curated high-quality dataset of compound-protein pairs sourced from ChEMBL, paired with a “cold-start for compounds” data preparation strategy. In MTCPINet, the network architecture synergistically combines Graph Isomorphism Network Convolution (GINConv), Convolutional Neural Networks (CNN), a one-dimensional Convolutional Block Attention Module (1D CBAM), and residual modules. And a masking mechanism is incorporated during training to ensure that regression loss is applied exclusively to active compound-target pairs. This design streamlines the drug discovery process through the precise identification of high-quality effective target proteins. Leveraging robust data reutilization strategies, our MTCPINet not only demonstrates potential for drug repositioning, but also facilitates the prediction of target proteins for natural products from traditional Chinese medicine (TCM).
DOI: 10.15468/dl.nuqp3r
title: Occurrence Download

description: A dataset containing 4935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma jeffersonianum (Green, 1827))"
 ]
}

 The dataset includes 4935 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004977-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-gtknz
title: The surface-topography challenge: Contact mode imaging - Sample P49

description: The roughness measurements for the received sample - P49, were meticulously executed using an Atomic Force Microscope (Nanosurf Drive AFM). The measurements were conducted utilizing contact mode under ambient conditions. For these measurements, we employed sharp diamond-like-carbon-coated ContAlG AFM probes. 

Spring constant of ContAlG AFM probe used: ~0.2 N/m

Methodology: 
• The initial step involved cleaning of the samples in ethanol through ultrasonication to make the contamination-free surface.
• The cleaned samples were, then, placed on an AFM stage to conduct the measurements.
• The sample surface was gently approached using the AFM software controller. 
• The desired area (2 µm x 2 µm) of the sample was scanned at an optimal set point to obtain accurate topographical information without causing any damage to the sample. The data were collected from about 6-7 different locations on the sample surface.
• The obtained topographical data were, then, processed using Gwyddion software to remove the artifacts in the data and analyzed to evaluate the area roughness measurements. 

All the raw data files have been named according to the sample ID and AFM mode used.
DOI: 10.15468/dl.zwrphg
title: Occurrence Download

description: A dataset containing 870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudacris ornata (Holbrook, 1836))"
 ]
}

 The dataset includes 870 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004976-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15302168
title: Data supporting publication: Fabrication Optimization of van der Waals Metasurfaces: Inverse Patterning Boosts Resonance Quality Factor

description: Funded by the European Union (ERC, METANEXT, 101078018). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This project was also funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant numbers EXC 2089/1–390776260 (Germany’s Excellence Strategy) and TI 1063/1 (Emmy Noether Program), the Bavarian program Solar Energies Go Hybrid (SolTech) and the Center for NanoScience (CeNS). S.A.M. additionally acknowledges the Lee-Lucas Chair in Physics.
DOI: 10.5281/zenodo.15302169
title: Data supporting publication: Fabrication Optimization of van der Waals Metasurfaces: Inverse Patterning Boosts Resonance Quality Factor

description: Funded by the European Union (ERC, METANEXT, 101078018). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. This project was also funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant numbers EXC 2089/1–390776260 (Germany’s Excellence Strategy) and TI 1063/1 (Emmy Noether Program), the Bavarian program Solar Energies Go Hybrid (SolTech) and the Center for NanoScience (CeNS). S.A.M. additionally acknowledges the Lee-Lucas Chair in Physics.
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n.1
title: 5-bromoisoindoline-1,3-dione
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12), and canonical SMILES descriptor[cheminf_000007]: Brc1ccc2c(c1)C(=O)NC2=O, and by the IUPAC name[cheminf_000107]: 5-bromoisoindole-1,3-dione.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-52852

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001148 | 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/gnyiczvghulche-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (5-bromoisoindole-1,3-dione)
title: InChI=1S/C8H4BrNO2/c9-4-1-2-5-6(3-4)8(12)10-7(5)11/h1-3H,(H,10,11,12)

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.15468/dl.4rv7du
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ephedra sinica Stapf"
 ]
}

 The dataset includes 535 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004981-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9udvve
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entada pursaetha DC."
 ]
}

 The dataset includes 446 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004979-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15303882
title: Conjunto II

description: Dados de matrícula sobre o ensino especial, voltado para estudantes com necessidades educacionais especiais (2014-2024).Fonte: Censo escolar (INEP)
DOI: 10.5281/zenodo.15303883
title: Conjunto II

description: Dados de matrícula sobre o ensino especial, voltado para estudantes com necessidades educacionais especiais (2014-2024).Fonte: Censo escolar (INEP)
DOI: 10.15468/dl.6aqac3
title: Occurrence Download

description: A dataset containing 1776 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entada phaseoloides (L.) Merr."
 ]
}

 The dataset includes 1776 records from 117 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004978-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.td7k68
title: Occurrence Download

description: A dataset containing 42914 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mimosa nuttallii (DC.) B.L.Turner, Mirabilis jalapa L., Miscanthus ×longiberbis (Hack.) Nakai, Momordica charantia subsp. charantia, Monochasma sheareri (S.Moore) Maxim. ex Franch. & Sav.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 42914 records from 566 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004983-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9geksj
title: Occurrence Download

description: A dataset listing the 2563 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((12.55 44.9095,13.59 44.9095,13.59 45.2905,12.55 45.2905,12.55 44.9095))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 2563 records were derived from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004962-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-6gker
title: The surface-topography challenge: Contact mode imaging - Sample P48

description: The roughness measurements for the received sample - P48, were meticulously executed using an Atomic Force Microscope (Nanosurf Drive AFM). The measurements were conducted utilizing contact mode under ambient conditions. For these measurements, we employed sharp diamond-like-carbon-coated ContAlG AFM probes. 

Spring constant of ContAlG AFM probe used: ~0.2 N/m

Methodology: 
• The initial step involved cleaning of the samples in ethanol through ultrasonication to make the contamination-free surface.
• The cleaned samples were, then, placed on an AFM stage to conduct the measurements.
• The sample surface was gently approached using the AFM software controller. 
• The desired area (2 µm x 2 µm) of the sample was scanned at an optimal set point to obtain accurate topographical information without causing any damage to the sample. The data were collected from about 6-7 different locations on the sample surface.
• The obtained topographical data were, then, processed using Gwyddion software to remove the artifacts in the data and analyzed to evaluate the area roughness measurements. 

All the raw data files have been named according to the sample ID and AFM mode used.
DOI: 10.15468/dl.p7n682
title: Occurrence Download

description: A dataset containing 11214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Ambystoma laterale Hallowell, 1856)"
 ]
}

 The dataset includes 11214 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004984-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.49dx8s
title: Occurrence Download

description: A dataset containing 870 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Pseudacris ornata (Holbrook, 1836))"
 ]
}

 The dataset includes 870 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004985-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15298080
title: TABLE 1 in A new species of the tridentine Rhinotridens from the Amazon basin (Siluriformes: Trichomycteridae)

description: TABLE 1 | Morphometric data for holotype and paratypes of Rhinotridens britskii; range includes holotype. N = number of specimens; SD = Standard deviation.
HolotypeRangeMeanSDNStandard length (mm)15.213.4–16.5––12Percentage of standard lengthBody depth14.913.1–18.215.71.512Caudal peduncle length10.28.4–119.90.712Caudal peduncle depth8.07.4–8.98.30.412Predorsal length73.667.5–74.271.52.012Preanal length61.855.5–62.759.82.112Dorsal-fin base length8.46.9–10.28.91.012Anal-fin base length31.429–35.132.41.912Distance between dorsal-fin origin and caudal-fin base31.129.5–34.131.41.512Distance between anal-fin origin and caudal-fin base41.638.8–44.441.81.712Pectoral girdle width11.611.1–13.712.30.812Pectoral fin length7.97.1–10.48.80.812Prepelvic length47.442.7–47.445.21.312Percentage of head lengthHead length17.317.3–19.918.60.812Head width71.866.2–73.571.21.912Head depth56.543.2–56.550.43.412Interorbital distance32.931.2–39.434.91.912Snout length37.237.2–43.240.21.712Maxillary-barbel length-8.3–20.18.03.67Mouth width51.637.7–51.645.03.812Eye diameter28.826.1–29.728.10.912
description: Published as part of de Pinna, Mário, Reis, Vinícius, Pastana, Murilo N. L. & Datovo, Aléssio, 2024, A new species of the tridentine Rhinotridens from the Amazon basin (Siluriformes: Trichomycteridae), pp. 9 in Neotropical Ichthyology (e 240025) 22 (2) on page 9, DOI: 10.1590/1982-0224-2024-0025, http://zenodo.org/record/15297926
DOI: 10.5281/zenodo.15298082
title: TABLE 2 in A new species of the tridentine Rhinotridens from the Amazon basin (Siluriformes: Trichomycteridae)

description: TABLE 2 | Morphometric data for five non-type specimens of Rhinotridens britskii (MZUSP 72977; MZUSP 121256; MCZ 52186). N = number of specimens.
MZUSP 72977MZUSP 121256MCZ 52186 (N = 3)Standard length (mm)14.815.214.1–15.3Percentage of standard lengthBody depth14.812.712.8–13.8Caudal peduncle length11.99.67.9–11.9Caudal peduncle depth7.76.96.5–6.8Predorsal length69.667.370.2–72.1Preanal length59.056.859.5–61.4Dorsal-fin base length8.97.98.0–10.7Anal-fin base length30.732.929.6–32.6Distance between dorsal-fin origin and caudal-fin base33.030.830.2–31.6Distance between anal-fin origin and caudal-fin base43.042.139.5–40.8Pectoral girdle width12.49.711.1–11.8Pectoral fin length8.57.58.2–8.7Prepelvic length41.742.445.2–45.9Percentage of head lengthHead length19.018.718.9–19.5Head width70.162.663.8–65.7Head depth49.039.942.4–45.6Interorbital distance28.929.429.3–31.4Snout length38.340.241.7–42.7Maxillary-barbel length––8.7–10.8Mouth width45.442.534.5–37.3Eye diameter24.630.224.5–26
description: Published as part of de Pinna, Mário, Reis, Vinícius, Pastana, Murilo N. L. & Datovo, Aléssio, 2024, A new species of the tridentine Rhinotridens from the Amazon basin (Siluriformes: Trichomycteridae), pp. 18 in Neotropical Ichthyology (e 240025) 22 (2) on page 18, DOI: 10.1590/1982-0224-2024-0025, http://zenodo.org/record/15297926
DOI: 10.3535/kn3-0ft-mph
title: Nassarius fenistratus (Marrat, 1877)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/14r-0wb-5m8
title: Coralliophila salebrosa H. Adams & A. Adams, 1864

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tt4-lrf-stk
title: Nassarius horridus (Dunker, 1847)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lrs-7zg-7re
title: Imbricaria interlirata (Reeve, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vr9-6st-b57
title: Cerithium columna G. B. Sowerby I, 1834

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/axl-cxp-d61
title: Macoma nasuta (Conrad, 1837)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fm1-4qf-f84
title: Imbricaria bacillum (Lamarck, 1811)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gh3-pnp-0pm
title: Chondrina farinesii (Des Moulins, 1835)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/437-h59-ayt
title: Trapezium bicarinatum (Schumacher, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nb5-b56-f39
title: Acrosterigma maculosum maculosum (W. Wood, 1815)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m81-aqe-48y
title: Hemilepton nitidum (W. Turton, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/raj-jx4-sv4
title: Cellana ornata (Dillwyn, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aas-fm2-54t
title: Nebularia pellisserpentis (Reeve, 1844)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jhk-05f-bp1
title: Naticarius onca (Röding, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vtv-ssm-bkh
title: Conus martensi E. A. Smith, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/95k-jbx-5hm
title: Cardita calyculata (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n1v-cj7-zyz
title: Mitra mitra (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ztl-b12-4yq
title: Chicoreus brevifrons (Lamarck, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4ws-w0l-nlc
title: Mactrinula dolabrata (Reeve, 1854)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p0x-eq3-qt4
title: Spondylus spinosus Schreibers, 1793

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2c9-yn0-19e
title: Plectostoma salpidomon (van Benthem Jutting, 1952)

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