cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1096/254
title: 00005397.JPG

description: :unav
DOI: 10.18419/darus-1096/255
title: 00005628.JPG

description: :unav
DOI: 10.18419/darus-1096/256
title: 00005379.JPG

description: :unav
DOI: 10.18419/darus-1096/257
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description: :unav
DOI: 10.18419/darus-1096/258
title: 00005432.JPG

description: :unav
DOI: 10.18419/darus-1096/259
title: 00005581.JPG

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DOI: 10.18419/darus-1096/260
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DOI: 10.18419/darus-1096/261
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DOI: 10.18419/darus-1096/262
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DOI: 10.18419/darus-1096/263
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description: :unav
DOI: 10.18419/darus-1096/264
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DOI: 10.18419/darus-1096/265
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DOI: 10.18419/darus-1096/266
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DOI: 10.18419/darus-1096/267
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DOI: 10.18419/darus-1096/268
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DOI: 10.18419/darus-1096/269
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DOI: 10.18419/darus-1096/270
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description: :unav
DOI: 10.18419/darus-1096/271
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description: :unav
DOI: 10.18419/darus-1096/272
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description: :unav
DOI: 10.18419/darus-1096/273
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description: :unav
DOI: 10.18419/darus-1096/274
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description: :unav
DOI: 10.18419/darus-1096/275
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description: :unav
DOI: 10.18419/darus-1096/276
title: 00005556.JPG

description: :unav
DOI: 10.5281/zenodo.12804420
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-11-01/2022-12-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-11-01/2022-12-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.12804421
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-11-01/2022-12-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-11-01/2022-12-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.18419/darus-1096/277
title: 00005508.JPG

description: :unav
DOI: 10.18419/darus-1096/278
title: 00005430.JPG

description: :unav
DOI: 10.18419/darus-1096/279
title: 00005650.JPG

description: :unav
DOI: 10.5281/zenodo.12805648
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-09-01/2022-10-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-09-01/2022-10-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.12805649
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-09-01/2022-10-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-09-01/2022-10-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.18419/darus-1096/280
title: 00005436.JPG

description: :unav
DOI: 10.18419/darus-1096/281
title: 00005457.JPG

description: :unav
DOI: 10.5281/zenodo.12805507
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-07-01/2022-08-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-07-01/2022-08-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.12805508
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-07-01/2022-08-31): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-07-01/2022-08-31.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.18419/darus-1096/282
title: 00005435.JPG

description: :unav
DOI: 10.18419/darus-1096/283
title: 00005417.JPG

description: :unav
DOI: 10.18419/darus-1096/284
title: 00005511.JPG

description: :unav
DOI: 10.18419/darus-1096/285
title: 00005472.JPG

description: :unav
DOI: 10.18419/darus-1096/286
title: 00005654.JPG

description: :unav
DOI: 10.18419/darus-1096/287
title: 00005382.JPG

description: :unav
DOI: 10.5281/zenodo.12804062
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-03-01/2022-04-30): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-03-01/2022-04-30.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.12804063
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-03-01/2022-04-30): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-03-01/2022-04-30.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.18419/darus-1096/288
title: 00005415.JPG

description: :unav
DOI: 10.18419/darus-1096/289
title: 00005468.JPG

description: :unav
DOI: 10.18419/darus-1096/290
title: 00005371.JPG

description: :unav
DOI: 10.5281/zenodo.12805806
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-01-01/2022-02-28): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-01-01/2022-02-28.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.5281/zenodo.12805807
title: Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2022-01-01/2022-02-28): Reflectance bands

description: Data Information
            
This dataset includes seven reflectance bands: blue, green, red, nir, swir1, swir2, and thermal, for the period 2022-01-01/2022-02-28.

            
As a Part of a Data Cube
            
This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.
            

                
To cite this dataset, refer to the DOI available on the landing page.
                
To access other data layers in the data cube, use the navigation catalog on the landing page as well.
            

            
Support
            
If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!
DOI: 10.18419/darus-1096/291
title: 00005604.JPG

description: :unav
DOI: 10.18419/darus-1096/292
title: 00005577.JPG

description: :unav
DOI: 10.18419/darus-1096/293
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DOI: 10.18419/darus-1096/294
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description: :unav
DOI: 10.18419/darus-1096/295
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description: :unav
DOI: 10.18419/darus-1096/296
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description: :unav
DOI: 10.18419/darus-1096/297
title: 00005615.JPG

description: :unav
DOI: 10.18419/darus-1096/298
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description: :unav
DOI: 10.18419/darus-1096/299
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DOI: 10.18419/darus-1096/300
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DOI: 10.18419/darus-1096/301
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DOI: 10.18419/darus-1096/302
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DOI: 10.18419/darus-1096/303
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DOI: 10.18419/darus-1096/304
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DOI: 10.18419/darus-1096/305
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DOI: 10.18419/darus-1096/306
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DOI: 10.18419/darus-1096/307
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DOI: 10.18419/darus-1096/308
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DOI: 10.18419/darus-1096/309
title: 00005319.JPG

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DOI: 10.18419/darus-1096/310
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description: :unav
DOI: 10.18419/darus-1096/311
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DOI: 10.18419/darus-1096/312
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DOI: 10.18419/darus-1096/313
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DOI: 10.18419/darus-1096/314
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DOI: 10.18419/darus-1096/315
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DOI: 10.18419/darus-1096/316
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DOI: 10.18419/darus-1096/317
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DOI: 10.18419/darus-1096/318
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DOI: 10.18419/darus-1096/319
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DOI: 10.18419/darus-1096/320
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description: :unav
DOI: 10.18419/darus-1096/321
title: 00005645.JPG

description: :unav
DOI: 10.15468/dl.xkmke6
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Afrotrewia kamerunica Pax & K.Hoffm."
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035909-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1096/322
title: 00005398.JPG

description: :unav
DOI: 10.18419/darus-1096/323
title: 00005626.JPG

description: :unav
DOI: 10.18419/darus-1096/324
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description: :unav
DOI: 10.18419/darus-1096/325
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description: :unav
DOI: 10.18419/darus-1096/326
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description: :unav
DOI: 10.18419/darus-1096/327
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description: :unav
DOI: 10.18419/darus-1096/328
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DOI: 10.18419/darus-1096/329
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description: :unav
DOI: 10.18419/darus-1096/330
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DOI: 10.18419/darus-1096/331
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DOI: 10.18419/darus-1096/333
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description: :unav
DOI: 10.18419/darus-1096/334
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description: :unav
DOI: 10.18419/darus-1096/335
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description: :unav
DOI: 10.18419/darus-1096/336
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description: :unav
DOI: 10.18419/darus-1096/337
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description: :unav
DOI: 10.18419/darus-1096/338
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description: :unav
DOI: 10.18419/darus-1096/339
title: 00005616.JPG

description: :unav
DOI: 10.18419/darus-1096/340
title: 00005454.JPG

description: :unav
DOI: 10.18419/darus-1096/341
title: 00005504.JPG

description: :unav
DOI: 10.18419/darus-1096/342
title: 00005367.JPG

description: :unav
DOI: 10.18419/darus-1096/343
title: 00005479.JPG

description: :unav
DOI: 10.18419/darus-1096/344
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description: :unav
DOI: 10.18419/darus-1096/345
title: 00005606.JPG

description: :unav
DOI: 10.18419/darus-1096/346
title: KK03-09.ply

description: :unav
DOI: 10.18419/darus-1096/347
title: KK03-09.las

description: :unav
DOI: 10.18419/darus-1096/348
title: KK03-09_u0_v0_diffuse_4.png

description: :unav
DOI: 10.18419/darus-1096/349
title: KK03-09_u0_v0_diffuse_6.png

description: :unav
DOI: 10.18419/darus-1096/350
title: KK03-09_u0_v0_diffuse_5.png

description: :unav
DOI: 10.18419/darus-1096/351
title: KK03-09.obj

description: :unav
DOI: 10.18419/darus-1096
title: 3D Photogrammetric-Data for KK03-09

description: Research data (*.las, *.ply and *.obj format) which was obtained by Photogrammetric/Computer Vision 3D digitization as well as original images which were the base for the 3D reconstruction process. Explanation about the 3D data format: Las (Is the normal data format for laser scanned point cloud data and also for photogrammetric 3D model.) Ply or Ply + jpg (The software RealityCapture encoded texture mesh in a single ply file while the software Agisoft metashape exported textured mesh in ply format + .jpg.) Obj + mtl + jpg (Obj stores a texture mesh together with mtl and jpg file. Obj file contains information of geometric vertices, texture vertices, vertex normal, polygon face element etc. The Mtl file defines the texture information of the faces. Mtl normally refers to a jpg for storing the actual texture.) Explanation about the mask image (if available): To avoid lots of background information in the 3D reconstruction process, well-aligned images to generate a rough model were applied. Afterwards a mask for each image could be calculated according to the 3D model. In the next step, original images together with the corresponding masks are applied to implement the reconstruction, which is free from the influence of the background information. This dataset is part of the digital gyroscope collection. For more information about the collection and its creation, please see the documentation dataset: Niklaus, Maria, 2021, "Information about the Gyrolog data repository", doi: 10.18419/darus-821, DaRUS.To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", doi: 10.18419/darus-gyrolog, DaRUS.
DOI: 10.18419/darus-1096/352
title: KK03-09.mtl

description: :unav
DOI: 10.15468/dl.gdfvpt
title: Occurrence Download

description: A dataset containing 1499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is Royal Botanic Gardens, Kew - Herbarium Specimens",
 "TaxonKey is Orchidaceae"
 ]
}

 The dataset includes 1499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035910-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1385/1
title: WK20_17.mtl

description: :unav
DOI: 10.18419/darus-1385/2
title: WK20_17_u0_v0.jpg

description: :unav
DOI: 10.18419/darus-1385/3
title: WK20_17.ply

description: :unav
DOI: 10.15468/dl.3tsvg9
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hydrocharis laevigata (Humb. & Bonpl. ex Willd.) Byng & Christenh.)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 518 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035911-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1385/4
title: WK20_17.obj.rcInfo

description: :unav
DOI: 10.18419/darus-1385/5
title: WK20_17.las

description: :unav
DOI: 10.18419/darus-1385/6
title: WK20_17.obj

description: :unav
DOI: 10.18419/darus-1385/7
title: WK20_17.las.rcInfo

description: :unav
DOI: 10.18419/darus-1385/8
title: WK20_17.ply.rcInfo

description: :unav
DOI: 10.18419/darus-1385/9
title: DSC08805.JPG

description: :unav
DOI: 10.18419/darus-1385/10
title: DSC08748.JPG

description: :unav
DOI: 10.18419/darus-1385/11
title: DSC08917.JPG

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title: DSC08837.JPG

description: :unav
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title: DSC08982.JPG

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title: DSC08850.JPG

description: :unav
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title: DSC08989.JPG

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title: DSC08880.JPG

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title: DSC08975.JPG

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DOI: 10.18419/darus-1385/18
title: DSC08804.JPG

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DOI: 10.18419/darus-1385/19
title: DSC08766.JPG

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DOI: 10.18419/darus-1385/20
title: DSC08861.JPG

description: :unav
DOI: 10.18419/darus-1385/21
title: DSC08914.JPG

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title: DSC08800.JPG

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title: DSC08822.JPG

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title: DSC08919.JPG

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title: DSC08753.JPG

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DOI: 10.18419/darus-1385/29
title: DSC09023.JPG

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DOI: 10.18419/darus-1385/30
title: DSC09039.JPG

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DOI: 10.18419/darus-1385/31
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title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
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