cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bkhyga
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus mutabilis",
 "Country is Libya",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017136-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xf6bjc
title: Occurrence Download

description: A dataset containing 27910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hippobroma longiflora, Muehlenbeckia platyclada, Ceropegia hislopii, Hydnocarpus pentandrus, Hydrangea macrophylla, Hydrilla verticillata, Hymenaea verrucosa, Hymenocallis littoralis, Hymenocallis speciosa, Hyophorbe lagenicaulis)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 27910 records from 598 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017135-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkzxqw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Minutanemertes adiverticulata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017222-251025141854904/datasets/export for details.
DOI: 10.34658/rdb.bitqc5/3syg3q
title: S1_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/9fs7ie
title: S2_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/9fccya
title: S1_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/qprpaa
title: S2_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/oomm1u
title: S8_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/tzxav8
title: S10_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/0vl3x0
title: S11_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/mr7bc6
title: S6_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/ikfa5s
title: S7_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/jjzqi2
title: S7_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/heqvhr
title: S3_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/d0akhi
title: S4_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/hov81d
title: S5_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/1qmvhq
title: S9_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/ujeegu
title: S8_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/mohius
title: S13_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/fuv5mq
title: S5_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/v2yp3x
title: S4_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/cc1bv6
title: S9_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/byuc2f
title: S10_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/2mghu3
title: S13_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/xqhgog
title: S12_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/hse1ga
title: S3_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/n1l0td
title: S6_2N3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/pwf4al
title: S12_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5/5rt0dj
title: S11_2P3.TXT

description: :unav
DOI: 10.34658/rdb.bitqc5
title: Switchable Behavior of Ru–TiO2 Catalysts in HMF Conversion

description: This work was financially supported by a grant from the National Center of Science (NCN) in Krakow OPUS-LAP (2020/39/I/ST4/02039).
DOI: 10.17632/kwb3by5tk9
title: 人工智能与内卷

description: 人工智能与内卷水平研究，使用微观数据集CGSS
DOI: 10.17632/kwb3by5tk9.1
title: 人工智能与内卷

description: 人工智能与内卷水平研究，使用微观数据集CGSS
DOI: 10.17632/rkrx7f36gt
title: CANShield

description: The CANShield_V2 dataset has been developed to support research in Automotive Cybersecurity, particularly in Intrusion Detection Systems (IDS) for Controller Area Network (CAN) environments. It represents real-world and simulated CAN traffic collected from both legitimate and fuzzed (malicious) communication scenarios.

This dataset is designed to enable machine learning and deep learning–based anomaly detection, fuzzing pattern recognition, and payload-level behavioural studies for in-vehicle networks.

Each entry in the dataset corresponds to a single CAN frame and includes the following key features:
1. timestamp --&gt; Packet capture timestamp in microsecond precision.
2. interface --&gt; The virtual CAN interface (e.g., vcan0) used during traffic capture.
3. can_id --&gt; Unique CAN message identifier in hexadecimal format.
4. dlc --&gt; Data Length Code: denotes the size of the data field (0–8 bytes).
5. data_bytes --&gt; Raw payload bytes transmitted within the CAN frame.
6. decoded_signal --&gt; Reverse-engineered interpretation of the payload bytes. This field was generated by decoding CAN signals to human-readable parameters such as vehicle speed, door status, or unknown signal references. It adds semantic richness to the dataset by linking raw bytes to real-world vehicle functionalities.
7. Class --&gt; Target label representing the traffic type – either Legitimate or Fuzzing.
DOI: 10.17632/rkrx7f36gt.1
title: CANShield

description: The CANShield_V2 dataset has been developed to support research in Automotive Cybersecurity, particularly in Intrusion Detection Systems (IDS) for Controller Area Network (CAN) environments. It represents real-world and simulated CAN traffic collected from both legitimate and fuzzed (malicious) communication scenarios.

This dataset is designed to enable machine learning and deep learning–based anomaly detection, fuzzing pattern recognition, and payload-level behavioural studies for in-vehicle networks.

Each entry in the dataset corresponds to a single CAN frame and includes the following key features:
1. timestamp --&gt; Packet capture timestamp in microsecond precision.
2. interface --&gt; The virtual CAN interface (e.g., vcan0) used during traffic capture.
3. can_id --&gt; Unique CAN message identifier in hexadecimal format.
4. dlc --&gt; Data Length Code: denotes the size of the data field (0–8 bytes).
5. data_bytes --&gt; Raw payload bytes transmitted within the CAN frame.
6. decoded_signal --&gt; Reverse-engineered interpretation of the payload bytes. This field was generated by decoding CAN signals to human-readable parameters such as vehicle speed, door status, or unknown signal references. It adds semantic richness to the dataset by linking raw bytes to real-world vehicle functionalities.
7. Class --&gt; Target label representing the traffic type – either Legitimate or Fuzzing.
DOI: 10.15468/dl.jbqmmv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Minutanemertes alba",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017224-251025141854904/datasets/export for details.
DOI: 10.15468/dl.xtkzkr
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnoliopsida",
 "Geometry POLYGON ((-70.98569 42.21049, -71.01844 42.21049, -71.01844 42.23309, -70.98569 42.23309, -70.98569 42.21049))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 56 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017225-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p9bpx9ctcv
title: CADICA: a new dataset for coronary artery disease

description: Please cite the following paper when using CADICA:
Jiménez‐Partinen, A., Molina‐Cabello, M. A., Thurnhofer‐Hemsi, K., Palomo, E. J., Rodríguez‐Capitán, J., Molina‐Ramos, A. I., & Jiménez‐Navarro, M. (2024). CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography. Expert Systems, 41(12), e13708.

The CADICA dataset is an annotated dataset of Invasive Coronary Angiography (ICA) images from 42 patients, including manually labeled lesion bounding boxes and selected clinical features. In ICA imaging, lesion degree assessment is commonly visually estimated, which implies a subjective factor and interobserver variability. Accurate identification of lesions is crucial for correct diagnoses and treatment. This motivates the development of computer-aided systems that can support specialists in their clinical procedures. This dataset can be utilized by clinicians to refine their skills in angiographic assessment of coronary artery disease (CAD) severity, by computer scientists to develop computer-aided diagnostic systems, and to validate existing CAD detection methods, thereby approaching solutions for clinical settings.

The CADICA dataset is a directory that contains the "metadata.xlsx" file, which stores the clinical data, as well as two main folders that differentiate the videos selected by the medical team for each patient: "nonselectedVideos" and "selectedVideos". Inside each folder, there are several sub-directories with the naming convention "pX", where X is the ID of each patient, and "vY", where Y is the ID of the video of that patient. 

The folder "pX" contains the following information: 
 "vY": several sub-directories with the videos selected for that patient. 
 "lesionVideos.txt": includes the IDs of the videos chosen where appears at least one lesion which is labeled.
 "nonlesionVideos.txt": contains the IDs of the selected videos with no visible lesions.

The folder "vY" contains the following information:
 "input": a sub-directory containing a separate PNG file for each video frame.
 "pX_vY_selectedFrames.txt": includes the IDs of the keyframes for the medical team for all the selected videos. 
 "groundtruth": a sub-directory available only if there are lesions in that selected video.

The folder "groundtruth" contains the following information:
 "pX_vY_000ZZ.txt": contains the bounding boxes and their category in each row. There are such files as frames in "pX_vY_selectedFrames.txt". Bounding boxes are specified in the format [x,y,w,h], where (x,y) are the pixel coordinates of the top left corner, w is the width, and h is the height of the bounding box.
 "pX_vY_groundTruthTable.mat": contains a table with the ground truth information of that video. 

Inside the "selectedVideos" folder, you can find the "CADICAprojections.json" file, containing video projections. Please note that the total number of videos may not match the total number of selected videos, as manual discarding can be done.
DOI: 10.17632/p9bpx9ctcv.5
title: CADICA: a new dataset for coronary artery disease

description: Please cite the following paper when using CADICA:
Jiménez‐Partinen, A., Molina‐Cabello, M. A., Thurnhofer‐Hemsi, K., Palomo, E. J., Rodríguez‐Capitán, J., Molina‐Ramos, A. I., & Jiménez‐Navarro, M. (2024). CADICA: A new dataset for coronary artery disease detection by using invasive coronary angiography. Expert Systems, 41(12), e13708.

The CADICA dataset is an annotated dataset of Invasive Coronary Angiography (ICA) images from 42 patients, including manually labeled lesion bounding boxes and selected clinical features. In ICA imaging, lesion degree assessment is commonly visually estimated, which implies a subjective factor and interobserver variability. Accurate identification of lesions is crucial for correct diagnoses and treatment. This motivates the development of computer-aided systems that can support specialists in their clinical procedures. This dataset can be utilized by clinicians to refine their skills in angiographic assessment of coronary artery disease (CAD) severity, by computer scientists to develop computer-aided diagnostic systems, and to validate existing CAD detection methods, thereby approaching solutions for clinical settings.

The CADICA dataset is a directory that contains the "metadata.xlsx" file, which stores the clinical data, as well as two main folders that differentiate the videos selected by the medical team for each patient: "nonselectedVideos" and "selectedVideos". Inside each folder, there are several sub-directories with the naming convention "pX", where X is the ID of each patient, and "vY", where Y is the ID of the video of that patient. 

The folder "pX" contains the following information: 
 "vY": several sub-directories with the videos selected for that patient. 
 "lesionVideos.txt": includes the IDs of the videos chosen where appears at least one lesion which is labeled.
 "nonlesionVideos.txt": contains the IDs of the selected videos with no visible lesions.

The folder "vY" contains the following information:
 "input": a sub-directory containing a separate PNG file for each video frame.
 "pX_vY_selectedFrames.txt": includes the IDs of the keyframes for the medical team for all the selected videos. 
 "groundtruth": a sub-directory available only if there are lesions in that selected video.

The folder "groundtruth" contains the following information:
 "pX_vY_000ZZ.txt": contains the bounding boxes and their category in each row. There are such files as frames in "pX_vY_selectedFrames.txt". Bounding boxes are specified in the format [x,y,w,h], where (x,y) are the pixel coordinates of the top left corner, w is the width, and h is the height of the bounding box.
 "pX_vY_groundTruthTable.mat": contains a table with the ground truth information of that video. 

Inside the "selectedVideos" folder, you can find the "CADICAprojections.json" file, containing video projections. Please note that the total number of videos may not match the total number of selected videos, as manual discarding can be done.
DOI: 10.17632/y4pr5b5nyw
title: Molybdenum isotope fractionation during low-temperature alteration of the upper ocean crust at DSDP Sites 417 and 418

description: This dataset includes major and trace element abundances and Mo-Sr isotopic compositions of altered ocean crust samples from DSDP Sites 417A, 417D and 418A.
DOI: 10.17632/y4pr5b5nyw.2
title: Molybdenum isotope fractionation during low-temperature alteration of the upper ocean crust at DSDP Sites 417 and 418

description: This dataset includes major and trace element abundances and Mo-Sr isotopic compositions of altered ocean crust samples from DSDP Sites 417A, 417D and 418A.
DOI: 10.17632/tr8tppy9fz
title: Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes

description: Raw compiled and new relative abundance, pH, longitude and latitude, and brGDGTs for Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes. https://doi.org/10.5194/egusphere-2025-526, 2025.
DOI: 10.17632/tr8tppy9fz.1
title: Data for: Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes

description: Raw compiled and new relative abundance, pH, longitude and latitude, and brGDGTs for Utilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and Lakes. https://doi.org/10.5194/egusphere-2025-526, 2025.
DOI: 10.17632/hn4w79d3pc
title: When merit breeds luck (or not): An experimental study on distributive Justice

description: This dataset was generated as a result of the experiement described in the paper "When merit breeds luck (or not): An
experimental study on distributive Justice"
DOI: 10.17632/hn4w79d3pc.1
title: When merit breeds luck (or not): An experimental study on distributive Justice

description: This dataset was generated as a result of the experiement described in the paper "When merit breeds luck (or not): An
experimental study on distributive Justice"
DOI: 10.15468/dl.j8hbbp
title: Occurrence Download

description: A dataset containing 458585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Silene vulgaris"
 ]
}

 The dataset includes 458585 records from 2408 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017183-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/b7m-bft-8yy
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dxy-2mk-vvm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9b8-1b8-nqw
title: Heterostegina depressa d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fc6-2yl-1gk
title: Calcarina quoyi d'Orbigny in Fornasini, 1908

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/145-qzr-a8g
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xcj-cky-638
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3s9-mpf-53y
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8k4-bqh-dkc
title: Hoeglundina elegans (d'Orbigny, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cj9-qjr-fzj
title: Heterostegina depressa d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lsh-qe8-rpr
title: Archaias angulatus (Fichtel & Moll, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/13p-zjq-r9b
title: Anommonia Schmitz, 1917

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1lh-f7a-cj3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xsf-92y-q8k
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m9q-n9v-hd8
title: Pyrgo murrhina (Schwager, 1866)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/v47-eel-rpv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/aqh-ff9-lk8
title: Gyroidina orbicularis d'Orbigny in Parker, Jones & Brady, 1865

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jmd-h6n-avc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sl3-3sa-b99
title: Belemnites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x50-x3l-8py
title: Pseudothurmannia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fww-kjm-ksc
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0bs-ptx-6tr
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/k4f-fvy-h3j
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.48ub53
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterocarpa humilis",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018186-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/3rq-sjv-2hr
title: Amphicoryna rugosa (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mje-gek-ep0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w83-chf-zt5
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j6s-dra-3qg
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/la1-1m4-735
title: Gypsina Carter, 1877

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0a6-3d5-kf3
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n5g-m0s-yk1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c94-ef8-k8b
title: Astrononion hamadaense Asano, 1950

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s22-a4k-nbj
title: Neorotalia calcar (d'Orbigny in Deshayes, 1830)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/173-3xl-351
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.jxar65
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterocarpa humilis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 241 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018188-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sphnqt
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asterocarpa humilis",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018187-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9tz-8bm-7wt
title: Bivalvia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y75-zhn-4a2
title: †Lagena hauteriviana Bartenstein & Brand, 1951

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/84f-gyd-w7j
title: Amphistegina gibbosa d'Orbigny, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qfy-s40-dfx
title: Peneroplis (Peneroplis) carinatus d'Orbigny, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7rr-lap-plq
title: Pseudobelus

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