cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16880590
title: TMY files for Norway based on CERRA data from 2006-2020

description: This dataset includes TMY files for all municipalities in Norway, based on CERRA data from 1991-2020, and using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology. But based on the same code base as the repository TMY files for Norway based on CERRA data from 1991-2020 that was made in collaboration with The Norwegian Meteorological Office (MET).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.An interactive map containing the data can be found at https://klimadataforbygninger.no/

When citing the data, please reference:

Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: 10.1080/19401493.2025.2573724
DOI: 10.15468/dl.xy69bx
title: Occurrence Download

description: A dataset containing 17334 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 Cnidaria",
 "Year 1993-2023"
 ]
}

 The dataset includes 17334 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002109-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14779899
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.

An interactive map containing the data can be found at https://klimadataforbygninger.no/

When citing the data, please reference:

Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: 10.1080/19401493.2025.2573724
DOI: 10.5281/zenodo.17670702
title: TMY files for Norway based on CERRA data from 1991-2020

description: This dataset includes TMY files for all municipalities in Norway, produced in conjunction with the Norwegian standard NS 3031:2025 Energy performance of buildings Calculation of energy and power demand. The files are based on CERRA data from 1991-2020, and produces using a TMY3 type methodology, where the FS weighing is skewed towards temperatures during the winter months (October to March).  The files represents a statistically typical year meant for energy calculations of buildings, and are therefore not suited for evaluating extreme conditions.

The repository contains:



EPW-files - zipped collection of .epw-files



The most common file format for climate data for energy simulations applicable to most programs



CSV-Files - zipped collections of .csv files 



Climate data on comma separated format as well as Excel for easy access

This format includes all the neccesary data for energy calculations, but less data than the EPW files. 

File headers are in Norwegian



NetCDF-files - a zipped collections of .nc files 



one for each location



Datasheets - a zip files of individual datasheets 



A collection of datasheets containing a comparison of TMYs with the data source as well as referance data

The datasheets contain Norwegian text



Overview of Error metrics - ZIP files containing plots of error metrics  



Error metrics mapped to a map of Norway, for visualization purposes



Changelog - a txt file



a overview of changes in the dataset since 1.0




The contents of the repository is produced by The Norwegian Meteorological Office (MET) and The Norwegian University og Life Science (NMBU), Department of Building- and Environmental Technology.

The funding for the project was provided in equal parts by Norwegian Building Authority (Direktoratet for byggkvalitet), ENOVA and the Norwegian Water Resources and Energy Directorate (NVE).

The data is provided 'as is', without warranty of any kind, express or implied. In no event shall the authors be liable for any claim, damages or other liability.

An interactive map containing the data can be found at https://klimadataforbygninger.no/

When citing the data, please reference:

Thiis, Petersen, Fuglestvedt, Hygen (2025) "Typical Meteorological Years Tailored for High Latitudes Based on High-Resolution Reanalysis data ", Journal of Building Performance Simulation, DOI: 10.1080/19401493.2025.2573724
DOI: 10.15468/dl.ue9jg2
title: Occurrence Download

description: A dataset containing 19736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is AIMSurv Aedes Invasive Mosquito species harmonized surveillance in Europe. AIM-COST Action",
 "Geometry POLYGON((-24.63900 29.65076,49.63900 29.65076,49.63900 59.34924,-24.63900 59.34924,-24.63900 29.65076))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 19736 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002110-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17670740
title: Table 1 in Characidium xanthopterum (Ostariophysi: Characiformes: Crenuchidae): a new species from the Central Brazilian Plateau

description: Table 1. Morphometric data of Characidium xanthopterum samples from the upper rio Paraná basin based on DZSJRP 6491 (n=3), DZSJRP 6508 (n=1), DZSJRP 6853 (n=2), DZSJRP 6980 (n=6), DZSJRP 7041 (n=1), DZSJRP 7060 (n=4), DZSJRP 10474 (holotype), DZSJRP 10797 (n=1), MNRJ 11481 (n=17), MNRJ 19729 (n=1), MNRJ 19842 (n=2), MNRJ 20256 (n=5), MNRJ 20257 (n=6), and NUP 4414 (n=15) and samples from the upper rio Tocantins basin based on MNRJ 11431 (n=18). N is number of specimens.
CharacterHolotypeUpper rio ParanáUpper rio TocantinsRangeMeanStandard DeviationNRangeMeanStandard DeviationNStandard length (mm)47.326.4-47.334.44.86225.6-38.032.03.818Percents of standard lengthPrepectoral distance23.423.4-27.925.71.16125.2-29.926.81.218Predorsal distance49.549.2-53.851.31.16051.1-56.752.81.418Prepelvic distance51.551.5-56.954.61.26155.2-59.256.91.218Preanal distance75.575.5-83.179.71.45974.1-84.181.82.218Anal to apex distance94.794.1-102.197.71.95899.2-103.6101.51.318Body width12.611.1-15.112.80.86212.2-14.312.90.618Body depth at dorsal-fin origin25.123.1-29.025.31.26022.6-27.025.31.118Body depth at anal-fin origin18.113.8-19.316.71.26115.2-18.317.10.818Body depth at caudal peduncle11.39.7-12.611.00.76211.2-13.612.60.718Head length23.223.2-27.625.51.06125.2-29.926.81.218Dorsal-fin base length15.813.7-18.615.71.16113.9-16.415.30.718Anal-fin base length8.76.3-10.88.30.9628.0-9.88.80.618Pelvic-fin length23.021.6-27.423.81.45922.9-26.624.41.018Pectoral-fin length24.724.7-33.228.62.05927.5-32.630.51.418Dorsal-fin length26.924.9-32.228.41.76226.1-29.227.70.818Anal-fin length19.916.6-22.118.81.16217.7-22.321.01.218Caudal-peduncle length27.422.1-29.525.71.94424.3-28.627.41.117Percents of head lengthSnout length27.722.5-29.425.61.65924.7-27.525.60.718Snout to maxillary tip28.024.3-33.027.72.25825.3-28.727.11.018Anterior naris to orbit15.310.5-15.312.71.15911.5-14.312.90.818Posterior naris to orbit9.64.4-9.66.71.1625.7-8.47.20.818Cheek depth10.510.4-19.815.13.0557.1-10.18.30.818Orbital diameter25.625.6-33.428.72.06025.7-31.828.51.818Interorbital distance32.127.1-35.131.32.05927.9-33.530.81.718
description: Published as part of Silveira, Luiz G. G., Langeani, Francisco, da Graça, Weferson J., Pavanelli, Carla S. & Buckup, Paulo A., 2008, Characidium xanthopterum (Ostariophysi: Characiformes: Crenuchidae): a new species from the Central Brazilian Plateau, pp. 173 in Neotropical Ichthyology 6 (2) on page 173, DOI: 10.1590/S1679-62252008000200003, http://zenodo.org/record/5419592
DOI: 10.5281/zenodo.17670739
title: Table 1 in Characidium xanthopterum (Ostariophysi: Characiformes: Crenuchidae): a new species from the Central Brazilian Plateau

description: Table 1. Morphometric data of Characidium xanthopterum samples from the upper rio Paraná basin based on DZSJRP 6491 (n=3), DZSJRP 6508 (n=1), DZSJRP 6853 (n=2), DZSJRP 6980 (n=6), DZSJRP 7041 (n=1), DZSJRP 7060 (n=4), DZSJRP 10474 (holotype), DZSJRP 10797 (n=1), MNRJ 11481 (n=17), MNRJ 19729 (n=1), MNRJ 19842 (n=2), MNRJ 20256 (n=5), MNRJ 20257 (n=6), and NUP 4414 (n=15) and samples from the upper rio Tocantins basin based on MNRJ 11431 (n=18). N is number of specimens.
CharacterHolotypeUpper rio ParanáUpper rio TocantinsRangeMeanStandard DeviationNRangeMeanStandard DeviationNStandard length (mm)47.326.4-47.334.44.86225.6-38.032.03.818Percents of standard lengthPrepectoral distance23.423.4-27.925.71.16125.2-29.926.81.218Predorsal distance49.549.2-53.851.31.16051.1-56.752.81.418Prepelvic distance51.551.5-56.954.61.26155.2-59.256.91.218Preanal distance75.575.5-83.179.71.45974.1-84.181.82.218Anal to apex distance94.794.1-102.197.71.95899.2-103.6101.51.318Body width12.611.1-15.112.80.86212.2-14.312.90.618Body depth at dorsal-fin origin25.123.1-29.025.31.26022.6-27.025.31.118Body depth at anal-fin origin18.113.8-19.316.71.26115.2-18.317.10.818Body depth at caudal peduncle11.39.7-12.611.00.76211.2-13.612.60.718Head length23.223.2-27.625.51.06125.2-29.926.81.218Dorsal-fin base length15.813.7-18.615.71.16113.9-16.415.30.718Anal-fin base length8.76.3-10.88.30.9628.0-9.88.80.618Pelvic-fin length23.021.6-27.423.81.45922.9-26.624.41.018Pectoral-fin length24.724.7-33.228.62.05927.5-32.630.51.418Dorsal-fin length26.924.9-32.228.41.76226.1-29.227.70.818Anal-fin length19.916.6-22.118.81.16217.7-22.321.01.218Caudal-peduncle length27.422.1-29.525.71.94424.3-28.627.41.117Percents of head lengthSnout length27.722.5-29.425.61.65924.7-27.525.60.718Snout to maxillary tip28.024.3-33.027.72.25825.3-28.727.11.018Anterior naris to orbit15.310.5-15.312.71.15911.5-14.312.90.818Posterior naris to orbit9.64.4-9.66.71.1625.7-8.47.20.818Cheek depth10.510.4-19.815.13.0557.1-10.18.30.818Orbital diameter25.625.6-33.428.72.06025.7-31.828.51.818Interorbital distance32.127.1-35.131.32.05927.9-33.530.81.718
description: Published as part of Silveira, Luiz G. G., Langeani, Francisco, da Graça, Weferson J., Pavanelli, Carla S. & Buckup, Paulo A., 2008, Characidium xanthopterum (Ostariophysi: Characiformes: Crenuchidae): a new species from the Central Brazilian Plateau, pp. 173 in Neotropical Ichthyology 6 (2) on page 173, DOI: 10.1590/S1679-62252008000200003, http://zenodo.org/record/5419592
DOI: 10.23708/ouzph4
title: Global Coastal Total Water Level Variability and Exceedance Statistics (1958–2023)

description: This dataset provides global monthly statistics of coastal total water levels (TWL) and associated exceedance metrics for the period January 1958 to December 2023. The Total Water Level (TWL) is defined as the sum of Sea Level Anomaly (SLA), wave runup (R), and tide (T). The dataset includes: Monthly means and monthly maxima of each component (SLA, R, T) and their sum (TWL). The variable hoursovertopmonthly, representing the number of hours per month during which the cumulative hourly TWL exceeds a given percentage (1–100%) of the maximum coastal elevation within the first kilometer inland. Spatial coordinates (lat, lon) for 14,140 global coastal sample points derived from the SamplePoints_coarse_mix dataset. Wave runup (R) is estimated using the Stockdon et al. (2006) empirical parameterization, and coastal elevation references are taken from multiple global elevation datasets (ALOS/JAXA, Panos, FLOPROS). This dataset is intended to support global and regional analyses of coastal flooding hazards, sea level variability, and wave-tide-surge interactions across multi-decadal time scales.
DOI: 10.15468/dl.66r45h
title: Occurrence Download

description: A dataset containing 22111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phylloscopus nitidus",
 "Year 2024-2025"
 ]
}

 The dataset includes 22111 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002114-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gta6yt
title: Occurrence Download

description: A dataset containing 199194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salamandra salamandra"
 ]
}

 The dataset includes 199194 records from 1903 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002097-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kcu6fr
title: Occurrence Download

description: A dataset containing 2514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persicaria capitata",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2514 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024467-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14712053
title: (14)-Strobl2025A-DS0033 – SLICE-1 – Tribolium castaneum AGOC{ATub'Lamin°NB-mEmerald} #3 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2

description: (14)-Strobl2025A-DS0033 – SLICE-1 – Tribolium castaneum AGOC{ATub'Lamin°NB-mEmerald} #3 subline long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy – Part 2/2
DOI: 10.6084/m9.figshare.28682839
title: Replication package for Exploring the relation between source code commit information and SonarQube issues

description: This item represents a replication package/dataset for the article `Exploring the relation between source code commit information and SonarQube issues`. The SonarQube issues are extracted using https://doi.org/10.6084/m9.figshare.25008653.v4 and the Python algorithm for linking issues to commits builts on top of the solution from https://doi.org/10.6084/m9.figshare.25239580.v1.
DOI: 10.15468/dl.dm6p6g
title: Occurrence Download

description: A dataset containing 25092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bison bison (Linnaeus, 1758)"
 ]
}

 The dataset includes 25092 records from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006516-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nsuhv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Portulaca grandiflora",
 "Country is Slovenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049031-250811113504898/datasets/export for details.
DOI: 10.15468/dl.zf3kk8
title: Occurrence Download

description: A dataset containing 1985815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "StateProvince is Jalisco"
 ]
}

 The dataset includes 1985815 records from 1050 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007015-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnhahe
title: Occurrence Download

description: A dataset containing 3526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Echinodermata"
 ]
}

 The dataset includes 3526 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011789-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15271485
title: Table 1 in New Cretaceous fossil mantispids highlight the palaeodiversity of the extinct subfamily Doratomantispinae (Neuroptera: Mantispidae)

description: Table 1 Species diversity of fossil raptorial Mantispoidea from Myanmar amber and other deposits
Myanmar amberOther depositsTotalRhachiberothidae141327Paraberothinae131023Rhachiberothinae022Incertae sedis in Rhachiberothidae112Dipteromantispidae7310Mantispidae242145Mesomantispinae099Symphrasinae415Doratomantispinae14014Drepanicinae6410Calomantispinae011Mantispinae066
description: Published as part of Li, Hongyu, Zhuo, De, Cao, Leran, Wang, Bo, Poinar, George, Ohl, Michael & Liu, Xingyue, 2022, New Cretaceous fossil mantispids highlight the palaeodiversity of the extinct subfamily Doratomantispinae (Neuroptera: Mantispidae), pp. 721 in Organisms Diversity & Evolution (New York, N. Y.) 22 (3) on page 721, DOI: 10.1007/s13127-022-00546-y, http://zenodo.org/record/13182163
DOI: 10.5281/zenodo.15271486
title: Table 1 in New Cretaceous fossil mantispids highlight the palaeodiversity of the extinct subfamily Doratomantispinae (Neuroptera: Mantispidae)

description: Table 1 Species diversity of fossil raptorial Mantispoidea from Myanmar amber and other deposits
Myanmar amberOther depositsTotalRhachiberothidae141327Paraberothinae131023Rhachiberothinae022Incertae sedis in Rhachiberothidae112Dipteromantispidae7310Mantispidae242145Mesomantispinae099Symphrasinae415Doratomantispinae14014Drepanicinae6410Calomantispinae011Mantispinae066
description: Published as part of Li, Hongyu, Zhuo, De, Cao, Leran, Wang, Bo, Poinar, George, Ohl, Michael & Liu, Xingyue, 2022, New Cretaceous fossil mantispids highlight the palaeodiversity of the extinct subfamily Doratomantispinae (Neuroptera: Mantispidae), pp. 721 in Organisms Diversity & Evolution (New York, N. Y.) 22 (3) on page 721, DOI: 10.1007/s13127-022-00546-y, http://zenodo.org/record/13182163
DOI: 10.15468/dl.7pz5qd
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crotalus simus"
 ]
}

 The dataset includes 486 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001095-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18320120
title: Trixis thrincioides (Griseb.) Hassl. 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.18320121
title: Trixis thrincioides (Griseb.) Hassl. 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: 10.15468/dl.s4vkn5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((102.822 3.656168, 102.751595 3.650599, 102.682926 3.634028, 102.617686 3.606864, 102.557484 3.569777, 102.503802 3.523681, 102.457962 3.469712, 102.421094 3.4092, 102.394103 3.343637, 102.377652 3.274638, 102.372144 3.203901, 102.377713 3.133169, 102.394219 3.064183, 102.421253 2.998641, 102.45815 2.938157, 102.503999 2.884218, 102.557671 2.838152, 102.617846 2.801092, 102.683042 2.773949, 102.751656 2.757392, 102.822 2.751828, 102.892344 2.757392, 102.960958 2.773949, 103.026154 2.801092, 103.086329 2.838152, 103.140001 2.884218, 103.18585 2.938157, 103.222747 2.998641, 103.249781 3.064183, 103.266287 3.133169, 103.271856 3.203901, 103.266348 3.274638, 103.249897 3.343637, 103.222906 3.4092, 103.186038 3.469712, 103.140198 3.523681, 103.086516 3.569777, 103.026314 3.606864, 102.961074 3.634028, 102.892405 3.650599, 102.822 3.656168))"},{"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 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001098-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/35f-dcp-59a
title: Lepidoptera Linnaeus, 1758

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