cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15459438
title: Observation Database for High-Contrast Imaging with VLT/SPHERE IFS and IRDIS (v2.0.0)

description: This dataset contains curated and structured metadata tables for all VLT/SPHERE IFS and IRDIS high-contrast imaging observations available from the ESO archive, as generated by version v2.0.0 of the spherical Python package (complete until: 2025-04-28). The tables support advanced data analysis workflows including target identification, observation filtering, and pipeline automation for high-contrast imaging studies (e.g., exoplanet detection and circumstellar disk studies).

The dataset includes:





File Table: All science and calibration frames with relevant FITS header metadata (csv)




Observation Table: Per-night, per-mode summaries of observations linked to each target, including summary statistics such as observing conditions, total exposure time, and field-of-view rotation (FITS table).



This version corresponds to all data processed with spherical v2.0.0. See the GitHub repository for pipeline details and usage instructions.

The tables are suitable for reuse in astrophysical analyses, reproducible research, or as input to automated pipelines for spectral cube extraction and post-processing.

 

Changelog:

For the full changelog see: https://github.com/m-samland/spherical/blob/main/CHANGELOG.mdv2.0.0:





Added IRDIS dual-band imaging and IRDIS polarimetric imaging metadata tables.




ROTATION column of observation tables containing the total parallactic angle change of a sequence has been fixed.


FAILED_SEQ flag has been replaced with HCI_READY flag, showing which observations should be complete and not cause issues when post-processing with high-contrast imaging (HCI) pipelines.


v1.1.0:





Initial release containing IFS metadata tables and observation summaries.



 

Compatibility Note:This dataset is incompatible with spherical v1.x.x due to database restructuring and expanded instrument support. Users should upgrade to spherical v2.0.0 or later to fully utilize the new IRDIS tables and improved download mechanisms.
DOI: 10.15468/dl.9hnjqz
title: Occurrence Download

description: A dataset containing 13986 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Species of plants, fungi and animals from separate territories of Podesinnia"
 ]
}

 The dataset includes 13986 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005287-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tucrwr
title: Occurrence Download

description: A dataset containing 667 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Anisodactylus dulcicollis (LaFerté-Sénectère, 1841)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 667 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005288-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15147730
title: Observation Database for High-Contrast Imaging with VLT/SPHERE IFS and IRDIS (v2.0.0)

description: This dataset contains curated and structured metadata tables for all VLT/SPHERE IFS and IRDIS high-contrast imaging observations available from the ESO archive, as generated by version v2.0.0 of the spherical Python package (complete until: 2025-04-28). The tables support advanced data analysis workflows including target identification, observation filtering, and pipeline automation for high-contrast imaging studies (e.g., exoplanet detection and circumstellar disk studies).

The dataset includes:





File Table: All science and calibration frames with relevant FITS header metadata (csv)




Observation Table: Per-night, per-mode summaries of observations linked to each target, including summary statistics such as observing conditions, total exposure time, and field-of-view rotation (FITS table).



This version corresponds to all data processed with spherical v2.0.0. See the GitHub repository for pipeline details and usage instructions.

The tables are suitable for reuse in astrophysical analyses, reproducible research, or as input to automated pipelines for spectral cube extraction and post-processing.

 

Changelog:

For the full changelog see: https://github.com/m-samland/spherical/blob/main/CHANGELOG.mdv2.0.0:





Added IRDIS dual-band imaging and IRDIS polarimetric imaging metadata tables.




ROTATION column of observation tables containing the total parallactic angle change of a sequence has been fixed.


FAILED_SEQ flag has been replaced with HCI_READY flag, showing which observations should be complete and not cause issues when post-processing with high-contrast imaging (HCI) pipelines.


v1.1.0:





Initial release containing IFS metadata tables and observation summaries.



 

Compatibility Note:This dataset is incompatible with spherical v1.x.x due to database restructuring and expanded instrument support. Users should upgrade to spherical v2.0.0 or later to fully utilize the new IRDIS tables and improved download mechanisms.
DOI: 10.5281/zenodo.15147731
title: Observation Database for High-Contrast Imaging with VLT/SPHERE IFS (v1.1.0)

description: This dataset contains preprocessed and curated metadata tables for all VLT/SPHERE IFS high-contrast imaging observations available from the ESO archive, as generated by version v1.1.0 of the spherical Python package (complete until: 2025-04-03). The tables support advanced data analysis workflows including target identification, observation filtering, and pipeline automation for high-contrast imaging studies (e.g., exoplanet detection).

The dataset includes:





File Table: All science and calibration frames with relevant FITS header metadata (csv)




Target Table: Cross-matched astrophysical targets with identifiers and astrometry from SIMBAD (FITS table).




Observation Table: Per-night, per-mode summaries of observations linked to each target, including summary statistics such as observing conditions, total exposure time, and field-of-view rotation (FITS table).



This version corresponds to all data processed with spherical v1.1.0. See the GitHub repository for pipeline details and usage instructions.

The tables are suitable for reuse in astrophysical analyses, reproducible research, or as input to automated pipelines for spectral cube extraction and post-processing.
DOI: 10.5281/zenodo.15458266
title: ORCHIDEE simulated vegetation and soil COS fluxes

description: This dataset provides global simulations of vegetation and soil carbonyl sulfide (COS) fluxes produced with the ORCHIDEE land surface model. The data cover the period 2000-2019 at monthly temporal resolution and a 0.5° × 0.5° spatial resolution.

 

The COS fluxes are:



Vegetation COS uptake: Based on the model of Berry et al. (2013), as implemented in ORCHIDEE by Maignan et al. (2021).

Soil COS exhanges: Implemented in ORCHIDEE following Abadie et al. (2022), using two alternative approaches:



Empirical model: From Berry et al. (2013), assuming all soils are oxic.

Mechanistic-based model: From Ogée et al. (2016), distinguishing between oxic and anoxic soil grid cells. 




 

Atmospheric COS forcing:

Fluxes were computed using 3-hourly atmospheric COS concentrations from the lowest vertical level (33 m above surface) of the LMDz model. These concentrations were obtained from an atmospheric inversion using optimized surface fluxes, as described in Remaud et al. (2022).

 

Variables in the netcdf file:






Variable name

Description
Unit
Comments


lat
Latitude
Degrees North
0.5° resolution


lon
Longitude
Degrees East
0.5° resolution


time_counter
Time
Seconds since 2000-01-01 00:00:00
Monthly timestep


Areas
Mesh areas
m2
-


Contfrac
Continental fraction
-
-


veget
Vegetation types
-
15 plant functional types (PFT)


maxvegetfrac
Maximum fraction of vegetation
-
PFT-dependent


Fcos_veg
Vegetation COS flux
pmol/m2/s
PFT-dependent


Fcos_soil_oxic
Oxic soil COS flux from the mechanistic-based model
pmol/m2/s
PFT-dependent


Fcos_soil_anoxic
Anoxic soil COS flux from the mechanistic-based model
pmol/m2/s
-


Fcos_soil_empirical
Soil COS flux from the empirical model
pmol/m2/s
PFT-dependent
DOI: 10.5281/zenodo.15458267
title: ORCHIDEE simulated vegetation and soil COS fluxes

description: This dataset provides global simulations of vegetation and soil carbonyl sulfide (COS) fluxes produced with the ORCHIDEE land surface model. The data cover the period 2000-2019 at monthly temporal resolution and a 0.5° × 0.5° spatial resolution.

 

The COS fluxes are:



Vegetation COS uptake: Based on the model of Berry et al. (2013), as implemented in ORCHIDEE by Maignan et al. (2021).

Soil COS exhanges: Implemented in ORCHIDEE following Abadie et al. (2022), using two alternative approaches:



Empirical model: From Berry et al. (2013), assuming all soils are oxic.

Mechanistic-based model: From Ogée et al. (2016), distinguishing between oxic and anoxic soil grid cells. 




 

Atmospheric COS forcing:

Fluxes were computed using 3-hourly atmospheric COS concentrations from the lowest vertical level (33 m above surface) of the LMDz model. These concentrations were obtained from an atmospheric inversion using optimized surface fluxes, as described in Remaud et al. (2022).

 

Variables in the netcdf file:






Variable name

Description
Unit
Comments


lat
Latitude
Degrees North
0.5° resolution


lon
Longitude
Degrees East
0.5° resolution


time_counter
Time
Seconds since 2000-01-01 00:00:00
Monthly timestep


Areas
Mesh areas
m2
-


Contfrac
Continental fraction
-
-


veget
Vegetation types
-
15 plant functional types (PFT)


maxvegetfrac
Maximum fraction of vegetation
-
PFT-dependent


Fcos_veg
Vegetation COS flux
pmol/m2/s
PFT-dependent


Fcos_soil_oxic
Oxic soil COS flux from the mechanistic-based model
pmol/m2/s
PFT-dependent


Fcos_soil_anoxic
Anoxic soil COS flux from the mechanistic-based model
pmol/m2/s
-


Fcos_soil_empirical
Soil COS flux from the empirical model
pmol/m2/s
PFT-dependent
DOI: 10.15468/dl.gn2j75
title: Occurrence Download

description: A dataset containing 2569 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Anisodactylus rusticus (Say, 1823)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 2569 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005291-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vvanvj
title: Occurrence Download

description: A dataset containing 139693 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phytomyza krygeri Hering, 1949, Ophiomyia aquilegiana Lundqvist, 1947, Anthocharis scolymus Butler, 1866, Euchloe olympia (Edwards, 1871), Lipaphis erysimi (Kaltenbach, 1843), Phytophthora brassicae De Cock & Man, Plectosphaerella cucumerina (Lindf.) W.Gams, Colletotrichum higginsianum Sacc., Alternaria brassicicola (Schwein.) Wiltshire, Hyaloperonospora arabidopsidis (Gäum.) Göker, Riethm., Voglmayr, Weiss & Oberw., Rhodococcus fascians (Tilford, 1936) Goodfellow, 1984, Hyaloperonospora parasitica (Pers.) Constant., Heterodera schachtii A.Schmidt, 1871, Xanthomonas campestris subsp. campestris, Xanthomonas campestris_B, Azorhizobium caulinodans Dreyfus et al., 1988, Bursaphelenchus xylophilus Steiner & Buhrer, 1934, Albugo laibachii Thines & Y.J.Choi, Ceutorhynchus atomus Boheman, 1845, Albugo candida (Pers. ex J.F.Gmel.) Roussel, Hauptidia distinguenda (Kirschbaum, 1868), Podosphaera drabae (Juel) U.Braun & S.Takam., Eurydema dominulus (Scopoli, 1763), Anourosorex squamipes Milne-Edwards, 1872, Apolygus lucorum (Meyer-Dur, 1843), Ara rubrogenys Lafresnaye, 1847, Nyctereutes procyonoides (Gray, 1834), Diabrotica speciosa Germar, 1824, Helicoverpa armigera (Hübner, 1808), Spodoptera littoralis (Boisduval, 1833), Elasmolomus pallens (Dallas, 1852), Helcystogramma melantherella (Busck, 1900), Tetranychus desertorum Banks, 1900, Tetranychus tumidellus Pritchard & Baker, 1955, Tetranychus gigas Pritchard & Baker, 1955, Latoia vivida (Walker, 1865), Spilarctia casigneta (Kollar, 1884), Spilosoma unipuncta Hampson, 1905, Pseudoradiarctia lentifasciata (Hampson, 1916), Athetis sincera Swinhoe, 1889, Etiella grisea Hampson, 1903, Opogona regressa Meyrick, 1916, Haplotinea ditella (Pierce et al., 1938), Astronauta stellans (Meyrick, 1922), Leguminivora ptychora (Meyrick, 1907), Morpho helenor Cramer, 1782, Aproaerema modicella, Spodoptera latifascia Walker, 1856, Anarsia ephippias Meyrick, 1908, Sophonia suturalis (Melichar, 1903))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 139693 records from 1004 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005270-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15453712
title: CornHub: Instance-Segmentation Dataset

description: 🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs

Version: 1.0.0  Date: 2025-05-18  License: CC BY 4.0Author: Sebastian Borukało  

📦 Description

CornHub is an instance-segmentation dataset of corn cobs in real field conditions. It contains 304 high-resolution RGB images in three variants:

- FULL (2432×2432 px)  - LITE (1024×1024 px)  - ULTRALITE (512×512 px)  

Captured at varying distances (close-up and wide-angle), lighting conditions (sunny, overcast), and viewpoints, each corn cob is annotated as its own grayscale mask (single channel):

- 0 = background  - 1, 2, 3… = individual corn cob instances  

Images and masks are provided in PNG format.

Use CornHub to train and evaluate instance-segmentation models in agriculture, field robotics, and computer vision research.

DataSet view:




Version
Filename
Resolution


Full
CornHub_FULL_2432.zip
2432×2432 px


Lite
CornHub_LITE_1024.zip
1024×1024 px


Ultra-Lite
CornHub_ULTRALITE_512.zip
512×512 px




📂 Download Options

Available on:

- Kaggle:                    https://www.kaggle.com/datasets/ciapserr/cornhub-instance-segmentation-dataset - Zenodo:                   https://doi.org/10.5281/zenodo.15453713- PapersWithCode:    https://paperswithcode.com/dataset/cornhub 

🤝 Credits

This dataset is free to use and you can use it in any project or paper, however I would be glad if you would cite me and give credit - as it is stated in the license.

CornHub: Instance-Segmentation Dataset of Corn Cobs Author: Sebastian Borukało 

DOI: https://doi.org/10.5281/zenodo.15453713DOI: 10.5281/zenodo.15453713
DOI: 10.5281/zenodo.15453713
title: CornHub: Instance-Segmentation Dataset

description: 🌽 CornHub: Instance-Segmentation Dataset of Corn Cobs

Version: 1.0.0  Date: 2025-05-18  License: CC BY 4.0Author: Sebastian Borukało  

📦 Description

CornHub is an instance-segmentation dataset of corn cobs in real field conditions. It contains 304 high-resolution RGB images in three variants:

- FULL (2432×2432 px)  - LITE (1024×1024 px)  - ULTRALITE (512×512 px)  

Captured at varying distances (close-up and wide-angle), lighting conditions (sunny, overcast), and viewpoints, each corn cob is annotated as its own grayscale mask (single channel):

- 0 = background  - 1, 2, 3… = individual corn cob instances  

Images and masks are provided in PNG format.

Use CornHub to train and evaluate instance-segmentation models in agriculture, field robotics, and computer vision research.

DataSet view:




Version
Filename
Resolution


Full
CornHub_FULL_2432.zip
2432×2432 px


Lite
CornHub_LITE_1024.zip
1024×1024 px


Ultra-Lite
CornHub_ULTRALITE_512.zip
512×512 px




📂 Download Options

Available on:

- Kaggle:                    https://www.kaggle.com/datasets/ciapserr/cornhub-instance-segmentation-dataset - Zenodo:                   https://doi.org/10.5281/zenodo.15453713- PapersWithCode:    https://paperswithcode.com/dataset/cornhub 

🤝 Credits

This dataset is free to use and you can use it in any project or paper, however I would be glad if you would cite me and give credit - as it is stated in the license.

CornHub: Instance-Segmentation Dataset of Corn Cobs Author: Sebastian Borukało 

DOI: https://doi.org/10.5281/zenodo.15453713DOI: 10.5281/zenodo.15453713
DOI: 10.15468/dl.q3n72d
title: Occurrence Download

description: A dataset containing 3622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "TaxonKey is one of (Oreolalax liangbeiensis Liu & Fei, 1979, Gloydius shedaoensis (Zhao, 1979), Euprepiophis perlaceus (Stejneger, 1929), Achalinus jinggangensis (Zong & Ma, 1983), Dibamus bogadeki Darevsky, 1992, Gekko reevesii (Gray, 1831), Caprolagus hispidus (Pearson, 1839), Budorcas taxicolor whitei Lydekker, 1907, Naemorhedus griseus (Milne-Edwards, 1871), Budorcas taxicolor tibetana Milne-Edwards, 1874, Saiga tatarica (Linnaeus, 1766), Procapra przewalskii (Büchner, 1891), Elaphurus davidianus Milne-Edwards, 1866, Muntiacus muntjak nigripes G.M.Allen, 1930, Prionailurus viverrinus (Bennett, 1833), Manis crassicaudata É.Geoffroy Saint-Hilaire, 1803, Odorrana wuchuanensis (Xu, 1983), Onychodactylus zhaoermii Che, Poyarkov & Yan, 2012, Hynobius maoershanensis Zhou, Jiang & Jiang, 2006, Hynobius amjiensis Gu, 1992, Sacalia bealei (Gray, 1831), Neophocaena phocaenoides (G.Cuvier, 1829), Neophocaena sunameri Pilleri & Gihr, 1975, Cuora Gray, 1856)"
 ]
}

 The dataset includes 3622 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005292-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y4ms8
title: Occurrence Download

description: A dataset containing 246768 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphyrapicus nuchalis S.F.Baird, 1858"
 ]
}

 The dataset includes 246768 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005274-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hehwfq
title: Occurrence Download

description: A dataset containing 249842 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((97.62872 6.513746, 99.39439 6.513746, 99.39439 8.799133, 97.62872 8.799133, 97.62872 6.513746))"
 ]
}

 The dataset includes 249842 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005259-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/chj-7v8-lz0
title: Ammoglobigerina globigeriniformis (Parker & Jones, 1865)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gm7-8kv-tp5
title: Acervulina mabahethi (Said, 1949)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jw3-x5t-5w1
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ykb-6rv-d13
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6rt-28q-dgm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d6v-1v4-02p
title: Percultazonaria subaculeata (Cushman, 1923)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.644nnz
title: Occurrence Download

description: A dataset containing 950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 950 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023761-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/9bg-8g1-nz0
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p4f-003-39e
title: Pseudobelus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4td-xqh-k86
title: Quinqueloculina lamarckiana d'Orbigny, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gjy-qnf-6lw
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bfd-vls-nel
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ac9-knr-ngq
title: Crioceratites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z3t-m5k-4lq
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.qg4env
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata",
 "Country is Bhutan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 210 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023760-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/95h-5bk-67h
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/34l-rv2-b8r
title: Crioceratites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6c2-6nd-xaw
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ndw-e38-gdp
title: Spiroloculina d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w7s-7kb-3ew
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myy-tef-65n
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qfr-wmf-ady
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cwf-w6v-lsm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/066-24g-vmb
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/91m-pwa-h9f
title: †Orthonotacythere (Orthonotacythere) Alexander, 1933

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wz8-hfn-4zz
title: †Marginulinopsis batrakiensis (Myatlyuk, 1939)

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