cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14712313
title: (14)-Strobl2025A-DS0034 – SLICE-1 – Tribolium castaneum AGOC{ATub'Lamin°NB-mEmerald} #4 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

description: (14)-Strobl2025A-DS0034 – SLICE-1 – Tribolium castaneum AGOC{ATub'Lamin°NB-mEmerald} #4 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
DOI: 10.15468/dl.7ce94k
title: Occurrence Download

description: A dataset containing 201 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron anthopogonoides Maxim."
 ]
}

 The dataset includes 201 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012825-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y53bnw
title: Occurrence Download

description: A dataset containing 3946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "KingdomKey is Animalia",
 {
 "or" : [
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.33.23_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.39.35_1"
 ]
 },
 {
 "and" : [
 "Year is 2021",
 "GadmGid is USA.4.23_1"
 ]
 }
 ]
 }
 ]
}

 The dataset includes 3946 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009076-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15468856
title: Code for unified approach, figures and tables of "Unified approach for inverting mixing state and optical properties of coated black carbon using bulk-volume variables"
DOI: 10.5281/zenodo.15468857
title: Code for unified approach, figures and tables of "Unified approach for inverting mixing state and optical properties of coated black carbon using bulk-volume variables"
DOI: 10.15468/dl.naxc5c
title: Occurrence Download

description: A dataset containing 28977 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galeorhinus galeus (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28977 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003753-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbutvv
title: Occurrence Download

description: A dataset containing 19960 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gunnera tinctoria"
 ]
}

 The dataset includes 19960 records from 166 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002080-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/8cka-w043
title: "Acintobacter Baumanni Raw Genomic Sequence Data"

description: "The sequence data of the Acinetobacter baumannii genome was retrieved from the primary databases . A total of twenty different strains were used to produce a large dataset. Accurate taxonomic classification and assignment of organism names is still a crucial issue in keeping the integrity of sequence databases. Recent approaches to bacterial species annotation have been developed based on deep learning and are capable of solving the problems of correct taxonomic classification, with accuracies of more than 89% at species level. The ePath platform provides essential gene predictions with accuracies from 75-91% in diverse prokaryotic genomes. Overall, there were 73,802 labelled gene sequences: 20,287 essential genes (Class 1) and 53,515 non-essential genes (Class 0). "
DOI: 10.34740/kaggle/dsv/13816255
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.5281/zenodo.17632486
title: Evaluation der Auswirkungen von Qualitätsanpassungen des CARLA Autopiloten und dessen Auswirkungen auf die Scenario-Coverage - Dataset

description: This .zip archive contains all data used in the bachelorthesis "Evaluation der Auswirkungen von Qualitätsanpassungen des CARLA Autopiloten und dessen Auswirkungen auf die Scenario-Coverage" of Kasimir Lindemann:



Raw recording data of CARLA simulations

Transformed recording data

STARS analysis results

STARS analysis results as json


The thesis was written under supervision of the https://aqua.cs.tu-dortmund.de/ of the Technische-Universität Dortmund.
DOI: 10.5281/zenodo.17632487
title: Evaluation der Auswirkungen von Qualitätsanpassungen des CARLA Autopiloten und dessen Auswirkungen auf die Scenario-Coverage - Dataset

description: This .zip archive contains all data used in the bachelorthesis "Evaluation der Auswirkungen von Qualitätsanpassungen des CARLA Autopiloten und dessen Auswirkungen auf die Scenario-Coverage" of Kasimir Lindemann:



Raw recording data of CARLA simulations

Transformed recording data

STARS analysis results

STARS analysis results as json


The thesis was written under supervision of the https://aqua.cs.tu-dortmund.de/ of the Technische-Universität Dortmund.
DOI: 10.15468/dl.d6rgtd
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glomeris annulata"
 ]
}

 The dataset includes 310 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002082-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17670283
title: MASA V2X RSU Dataset (network traces, from 03-07-2025 to 21-11-2025)

description: MASA Road Side Units (RSUa) network traces dataset, collected from real urban traffic in the Modena Automotive Smart Area from 03-07-2025 to 21-11-2025 (dd-MM-yyyy).
DOI: 10.5281/zenodo.17670282
title: MASA V2X RSU Dataset (network traces, from 03-07-2025 to 21-11-2025)

description: MASA Road Side Units (RSUa) network traces dataset, collected from real urban traffic in the Modena Automotive Smart Area from 03-07-2025 to 21-11-2025 (dd-MM-yyyy).
DOI: 10.15468/dl.c8dr7q
title: Occurrence Download

description: A dataset containing 683 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "TaxonKey is Rhododendron arboreum"
 ]
}

 The dataset includes 683 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002085-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30310
title: Chandra X-ray Observatory ObsId 30310

description: The sounds of feedback: deep and wide imaging of the cool core of the Perseus cluster
DOI: 10.15468/dl.hxxegn
title: Occurrence Download

description: A dataset containing 6499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus whistleri",
 "Year 2024-2025"
 ]
}

 The dataset includes 6499 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3yp96
title: Occurrence Download

description: A dataset containing 16551 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20 30,36 30,36 40,20 40,20 30))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Bivalvia",
 "Year 1993-2023"
 ]
}

 The dataset includes 16551 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002087-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30675209.v1
title: The Data of Geophysical Research Letters [Paper #2025GL120324]

description: The Data of Geophysical Research Letters [Paper #2025GL120324]
DOI: 10.6084/m9.figshare.30675209
title: The Data of Geophysical Research Letters [Paper #2025GL120324]

description: The Data of Geophysical Research Letters [Paper #2025GL120324]
DOI: 10.15468/dl.xgvg3r
title: Occurrence Download

description: A dataset containing 239 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ottelia acuminata"
 ]
}

 The dataset includes 239 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002088-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15039806
title: Dimensjonerende døgn sommer og vinter for effektberegninger, vedlegg til NS 3031: 2025

description: Dette regnearket er produsert av Standard Norge komité SN/K 34 Bygningsers energiytelse og inneholder dimensjonerende døgn sommer og vinter ment til beregninger av termisk effektbehov til bygningsinstallasjoner.  Regnearket og datagrunnlag er utarbeidet i 2023-2024, og er ment som en overgangsløsning frem til at at nettbasert løsning for adgang til dimensjonerende døgn er på plass. 

Datagrunnlag for døgnmiddeltemperaturer og temperatur- og fuktvariasjon er basert på data for årene 1991-2020, hentet fra MET Nordic Long-Term Consistent analysis med nearest neighbour interpolation. Dette betyr at dataene for f.eks. Oslo er hentet fra bare ett grid point of MET Nordic.entet  

Data for døgnmiddeltemperaturer sommer og vinter er tatt ut for hvert kommunesenter for forskjellige varighet og returperioder basert på en Bayesisk GEV distribusjon.  Data for temperatur- og fuktvariasjon er tatt ut for de samme stedene, men er kun tatt ut for de 9 varmeste og kaldeste dagene. Fuktigheten og døgnvariasjon i temperatur er beregnet som et gjennomsnitt gjennom de 9 varmeste døgnene for sommer, og 9 kaldeste for vinter. Disse er vurdert til å være beskrivende for de mest vanlig forekommende returperioder og varighet, disse har en høy pålitelighet sommer, men kan tendere til for høye fuktighetsverdier vinterstid. 

Metodikken for utrekk av døgnmiddeltemperaturer er beskrevet i "Calculation of design temperatures  - Proposed use of Bayesian GEV to calculate design summer and design winter temperatures. Hans Olav Hygen, Lars Grinde and Helga Therese Tilley Tajet, 2023", vedlagt datasettet.
DOI: 10.5281/zenodo.15083334
title: Dimensjonerende døgn sommer og vinter for effektberegninger, vedlegg til NS 3031: 2025

description: Dette regnearket er produsert av Standard Norge komité SN/K 34 Bygningsers energiytelse og inneholder dimensjonerende døgn sommer og vinter ment til beregninger av termisk effektbehov til bygningsinstallasjoner.  Regnearket og datagrunnlag er utarbeidet i 2023-2024, og er ment som en overgangsløsning frem til at at nettbasert løsning for adgang til dimensjonerende døgn er på plass. 

Datagrunnlag for døgnmiddeltemperaturer og temperatur- og fuktvariasjon er basert på data for årene 1991-2020, hentet fra MET Nordic Long-Term Consistent analysis med nearest neighbour interpolation. Dette betyr at dataene for f.eks. Oslo er hentet fra bare ett grid point of MET Nordic.entet  

Data for døgnmiddeltemperaturer sommer og vinter er tatt ut for hvert kommunesenter for forskjellige varighet og returperioder basert på en Bayesisk GEV distribusjon.  Data for temperatur- og fuktvariasjon er tatt ut for de samme stedene, men er kun tatt ut for de 9 varmeste og kaldeste dagene. Fuktigheten og døgnvariasjon i temperatur er beregnet som et gjennomsnitt gjennom de 9 varmeste døgnene for sommer, og 9 kaldeste for vinter. Disse er vurdert til å være beskrivende for de mest vanlig forekommende returperioder og varighet, disse har en høy pålitelighet sommer, men kan tendere til for høye fuktighetsverdier vinterstid. 

Metodikken for utrekk av døgnmiddeltemperaturer er beskrevet i "Calculation of design temperatures  - Proposed use of Bayesian GEV to calculate design summer and design winter temperatures. Hans Olav Hygen, Lars Grinde and Helga Therese Tilley Tajet, 2023", vedlagt datasettet.
DOI: 10.15468/dl.p87wta
title: Occurrence Download

description: A dataset containing 2330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taxus baccata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "CoordinateUncertaintyInMeters is less than or equal to 30",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "Year is greater than or equal to 2014",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 2330 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002089-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nmxaj
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glomeris annulata"
 ]
}

 The dataset includes 310 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002091-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30675257
title: test

description: test
DOI: 10.6084/m9.figshare.30675257.v1
title: test

description: test
DOI: 10.15468/dl.h94rpb
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus whistleri nemoralis"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eps72w
title: Occurrence Download

description: A dataset containing 11842 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Erysiphales Collection at the Botanische Staatssammlung München"
 ]
}

 The dataset includes 11842 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002094-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrqatk
title: Occurrence Download

description: A dataset containing 234004 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arabidopsis thaliana"
 ]
}

 The dataset includes 234004 records from 1630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002070-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kttjvx
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepus sinensis Gray, 1832"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013545-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyptpz
title: Occurrence Download

description: A dataset containing 63719 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Chinese Institute of Biology - Chinese Academy of Sciences"
 ]
}

 The dataset includes 63719 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013537-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbvccf
title: Occurrence Download

description: A dataset containing 1252523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Fulmarus glacialis (Linnaeus, 1761)"
 ]
}

 The dataset includes 1252523 records from 394 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000981-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/uqhfxw
title: Results of computational experiments: solving the (r|p)HCPuPW using a BVNS-based solution approach

description: The computational experiments are conducted using the instancesgenerated from the well-known CAB dataset, composed and published by O'Kelly in 1987. All mathematical programs were implemented in Python 3.8 (as a part of Anaconda package). The Gurobi Optimizer 9.0 was used as an integer linear programming solver, installed on the Windows 10 operating system. The hardware platform for computation was Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz with 24.0 GiB of DDR4 RAM.

When it comes to the size of instance, three batches were considered: 15, 20, and 25 node instances. The discount factors chi and delta were set to 1, and alpha took values from the set {0.2, 0.4, 0.6, 0.8}, as usual for the CAB data set. The price sensitivity factor Theta took values from a set {3, 6, 9, 12, 15}, which are modified values from. The difference is that the values are integer and equally separated in range from 3 to 15. 

When it comes to the hub backbone size, two cases were addressed:
1. the number of hubs for both competitors is equal (i.e., r = p);
2. the competitors locate unequal number of hubs (i.e., r &lt;&gt; p).

In the first case, the size of hub backbone in experiments was taken to be 2, 3, 4, and 5. The time limit t_max is set as:
+ when |N| = 15, t_max = 45 minutes;
+ when |N| = 20, t_max = 1.5 hours;
+ when |N| = 25, t_max = 2 hours.
In total, 240 instances were examined. For every one of them, the VNS algorithm has been executed for 10 times, i.e., 2400 tests were performed. 

In the second case, only extreme parameter values were considered, i.e., alpha from {0.2, 0.8}, Theta from {3, 15}, (r,p) from {(2, 5), (5, 2)}. In other words, the second case is presented just for illustration purposes, because such considerations are not presented in the majority of research literature. These data is stored in three csv files: different-15.csv, different-20.csv, different-25.csv.

Besides this, a situation in which leader ignores the follower is addressed. Two classic hub--location networks are considered as the leader's strategic option: p-HMLP and p -HCLP. For these networks, VNS algorithm has not been executes. Only the optimal follower's solution was determined. For this situation, 480 tests were performed. The corresponding filenames have prefix C, or suffix M.
description: Anaconda, 4.9.2
description: Python, 3.8
description: Gurobi Optimization, 9.0
DOI: 10.15468/dl.b2qn82
title: Occurrence Download

description: A dataset containing 97741 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus strobus L."
 ]
}

 The dataset includes 97741 records from 659 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015534-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwfaxk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.36 0.041185, 102.289737 0.035618, 102.221204 0.019054, 102.156088 -0.008099, 102.095993 -0.045172, 102.042399 -0.091252, 101.996624 -0.145206, 101.959796 -0.205704, 101.932821 -0.271257, 101.916365 -0.340251, 101.910831 -0.410987, 101.916357 -0.481724, 101.932807 -0.55072, 101.959775 -0.616276, 101.9966 -0.676777, 102.042374 -0.730735, 102.095969 -0.776819, 102.156068 -0.813896, 102.221189 -0.841051, 102.289729 -0.857617, 102.36 -0.863184, 102.430271 -0.857617, 102.498811 -0.841051, 102.563932 -0.813896, 102.624031 -0.776819, 102.677626 -0.730735, 102.7234 -0.676777, 102.760225 -0.616276, 102.787193 -0.55072, 102.803643 -0.481724, 102.809169 -0.410987, 102.803635 -0.340251, 102.787179 -0.271257, 102.760204 -0.205704, 102.723376 -0.145206, 102.677601 -0.091252, 102.624007 -0.045172, 102.563912 -0.008099, 102.498796 0.019054, 102.430263 0.035618, 102.36 0.041185))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001083-260120142942310/datasets/export for details.
DOI: 10.3535/q7d-h32-gqc
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tzx-yzg-8hh
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nfe-50z-646
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fjm-a2s-98n
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kbf-73m-f49
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ef4-ahg-k70
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lgx-aet-wqm
title: Sphingidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.18320086
title: Verbena stellarioides var. sessilis Cham. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18320087
title: Verbena stellarioides var. sessilis Cham. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.3535/3sd-etz-nx7
title: Sphingidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sbk-dps-7nm
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vcz-dz2-l6p
title: Sphingidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z2m-8zl-fdf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0g3-49b-jy2
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lba-n0h-79e
title: Lepidoptera Linnaeus, 1758

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