cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29925965
title: murcia_2020_ph.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.3535/dt0-q69-2jh
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29925950.v1
title: murcia_2010_ph.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.6084/m9.figshare.29925959.v1
title: murcia_2010_phosphorus.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.6084/m9.figshare.29925968.v1
title: murcia_2020_phosphorus.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.3535/27z-jvk-5hn
title: †Lophocythere (Lophocythere) Sylvester-bradley, 1948

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t3l-7ts-wcy
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29925965.v1
title: murcia_2020_ph.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.14469/hpc/15481
title: N2O2 as strong dimer TS as biradical TS from biradical to NN triple bond? IRC Reverse cis isomer, G = -259.785500

description: Gaussian 16 (C01) calculation
DOI: 10.3535/7l0-r8f-k7l
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fy3-8dq-s48
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29925971
title: murcia_2020_potassium.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.6084/m9.figshare.29925971.v1
title: murcia_2020_potassium.zipSiora Open Soil Nutrient Dataset – Murcia (2000, 2010, 2020)

description: <strong>Title:</strong><br>
Murcia Soil Nutrient Datasets (2000, 2010, 2020) – Nitrogen, Phosphorus, Potassium, Organic Carbon, pH
<br>
<strong>Description:</strong><br>
This record contains open satellite-derived soil nutrient maps for the Region of Murcia, Spain. The datasets provide estimates of <strong>Nitrogen, Phosphorus, Potassium, Organic Carbon, and pH</strong> at ~30 m spatial resolution for the years <strong>2000, 2010, and 2020</strong>.
<br>
The nutrient values were generated using calibrated multispectral sensing models that detect how soils reflect sunlight across spectral bands. This method parallels laboratory spectroscopy but is applied remotely from Earth-observation satellites. Each dataset is distributed as a single-band GeoTIFF with accompanying heatmaps and documentation.
<br>
<strong>Primary DOI (Zenodo citation):</strong><br>
10.5281/zenodo.16889684<br>
(Please use this Zenodo DOI when citing the dataset.)
<br>
<strong>Key features:</strong>

 Region: Murcia, Spain
 Parameters: Nitrogen (N), Phosphorus (P), Potassium (K), Organic Carbon (OC), pH
 Temporal coverage: 2000, 2010, 2020
 Spatial resolution: 30 m
 Format: GeoTIFF (.tif), PNG previews, metadata JSON, README, license
 Coordinate system: WGS 84 (EPSG:4326)
 License: Creative Commons Attribution 4.0 (CC-BY 4.0)

<strong>Comparable laboratory references:</strong>

 Nitrogen – ISO 11261:1995 (Modified Kjeldahl)
 Phosphorus – ISO 11263:1994 (Spectrometric)
 Potassium – USDA–NRCS (Atomic absorption, NH₄OAc extraction)
 Organic Carbon – ISO 10694:1995 (Dry combustion)
 pH – ISO 10390:2005 (Glass electrode method)

<strong>Suggested applications:</strong>

 Soil fertility and nutrient trend research
 Agricultural management and fertilization planning
 Environmental monitoring and sustainability analysis
 Machine learning model training and validation for remote sensing

<strong>Attribution:</strong><br>
Dataset created and released by Siora, provider of satellite-based soil analysis. If you use this dataset, please credit:<br>
<em>“Siora (2025). Murcia Soil Nutrient Dataset (2000–2020). Zenodo DOI: 10.5281/zenodo.16889684.”</em>
DOI: 10.3535/g6n-jye-t99
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zrr-j2g-k5s
title: Globobulimina Cushman, 1927

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.14469/hpc/15482
title: N2O2 as strong dimer TS as biradical TS from biradical to NN triple bond? IRC Forward cis isomer G = -259.785500

description: Gaussian 16 (C01) calculation
DOI: 10.3535/g1d-460-s5e
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.14469/hpc/15483
title: N2O2 as strong dimer TS as biradical cis, G = -259.785500

description: Gaussian 16 (C01) calculation
DOI: 10.3535/jyg-fck-cbj
title: Teschenites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wza-2wg-vtd
title: Pseudobelus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.b92r6u
title: Occurrence Download

description: A dataset containing 3625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3625 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014842-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cqv-rr8-atv
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p79-3sm-a02
title: Hibolithes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.14469/hpc/15484
title: N2O2 as strong dimer triplet biradical state RP to dissociation TS?

description: Gaussian 16 (C01) calculation
DOI: 10.3535/cbp-wr7-5z1
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z2k-mqj-2mb
title: Lachlanella carinata (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.14469/hpc/15485
title: N2O2 as strong dimer triplet biradical state RP to dissociation TS? IRC Forward

description: Gaussian 16 (C01) calculation
DOI: 10.3535/mfm-j4b-9e4
title: Flintinoides labiosa (d'Orbigny, 1839)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mp6-e27-jst
title: Gaudryina curta Cushman, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.14469/hpc/15486
title: N2O2 as strong dimer triplet biradical state RP to dissociation TS? IRC Reverse

description: Gaussian 16 (C01) calculation
DOI: 10.3535/e3d-pce-50j
title: Trochammina Parker & Jones, 1859

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j26-fa7-e8m
title: Operculina ammonoides (Gronovius, 1781)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.pduhb4
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bimeria vestita",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014844-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/jh9-3np-vsp
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vl2-6hq-h30
title: Rosalina bradyi (Cushman, 1915)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8a4-m64-l94
title: Bolivina lanceolata Parker, 1954

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fw0-vjw-lnc
title: Discammina compressa (Goës, 1882)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/c5y-29j-pwn
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l18-dz9-f0c
title: Crinoidea Miller, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ml1-cmm-w4a
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6mx-m8c-191
title: Duvalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d3y-le3-8p3
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/18s-4c7-mzh
title: Hormosina globulifera Brady, 1879

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jzh-1jj-42v
title: Globocassidulina subglobosa (Brady, 1881)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gbm-b89-f93
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3mv-jg9-w99
title: Grigelis pyrula (d'Orbigny, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/47v-8ln-wwd
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f4v-cj3-nrj
title: Planulina foveolata (Brady, 1884)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hve-kp4-pd3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b96-lkl-cyh
title: †Belemnitida

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e0d-6aa-5kg
title: Miliolidae Ehrenberg, 1839

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qzt-3t7-vqa
title: †Orbitolites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.ahhc3g
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014841-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/prm-3db-sjd
title: †Macrodentina foveata Malz, 1958

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