cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31048174.v1
title: Data for: Grasslands hidden choreography: fine-scale spatial reorganisation precedes diversity loss in response to anthropogenic nutrient enrichment in a Mediterranean grassland (southern Spain)

description: This repository contains the raw ecological data supporting the findings of the manuscript "Grasslands hidden choreography: fine-scale spatial reorganisation precedes diversity loss in response to anthropogenic nutrient enrichment in a Mediterranean grassland (southern Spain)". The dataset documents the temporal dynamics of a Mediterranean grassland plant community under anthropogenic nutrient enrichment.Study Site & Experimental Design: The study was conducted at La Algaida (Bahía de Cádiz Natural Park, southern Spain). The experiment follows the DRAGNet protocol.Design: 6 permanent 1 m × 1 m plots (3 Control, 3 Fertilised with NPK+μ).Resolution: Each plot was subdivided into 100 contiguous 10 cm × 10 cm subplots.Sampling: Spatially explicit sampling was conducted in 50 pre-selected subplots per plot.Timeline: Sampling was conducted annually from 2020 (Y0, Baseline) to 2025 (Y5). Nutrient addition commenced in 2021 (Y1).
DOI: 10.6084/m9.figshare.31135261
title: Cool Cities Heat Risk Index (HRI) Arnhem 100 x 100m shapefile

description: Dataset: Cool Cities Heat Risk Index (HRI) – Arnhem, The NetherlandsDescriptionThis dataset contains the Cool Cities Heat Risk Index (HRI) for the municipality of Arnhem, The Netherlands. The HRI identifies where heat is most likely to cause harm by integrating hazard, exposure, and vulnerability indicators within a single, spatially explicit index. It is intended as a screening and prioritization tool for urban heat adaptation rather than a predictive model.The Arnhem HRI is calculated at 100 by 100 meter grid resolution using open national datasets. Values range from 0 to 1 and indicate relative heat risk within the city.InputsHazard: Share of grid cell area exposed to PET values at or above the defined heat stress threshold.Exposure: Number of residents, women, children (0 to 15), elderly residents (65 plus), and dwellings per grid cell.Sensitivity: Single person households, residents receiving unemployment, social or disability benefits, rented dwellings owned by housing corporations, and residents with a migration background.Adaptive capacity: Percentage of owner occupied dwellings and average property value.Indicators are capped at mean plus two standard deviations and normalized to ensure comparability across the city.MethodsThe HRI is calculated as the product of hazard, exposure, and vulnerability. Vulnerability is defined as two times sensitivity minus adaptive capacity and subsequently normalized. Missing data are handled using neutral fallback values where possible. A fourth root transformation is applied to the final normalized HRI to enhance readability while preserving relative ranking.Intended useThe dataset is intended to support evidence-based prioritisation of cooling measures, development of local adaptation plans, and spatial comparison of heat risk within Arnhem.LimitationsResults depend on proxy indicators for social vulnerability and adaptive capacity. The index reflects relative risk patterns under extreme heat conditions and does not capture health outcomes, behavioural responses, or fine-scale microclimatic variation.
DOI: 10.6084/m9.figshare.31135261.v1
title: Cool Cities Heat Risk Index (HRI) Arnhem 100 x 100m shapefile

description: Dataset: Cool Cities Heat Risk Index (HRI) – Arnhem, The NetherlandsDescriptionThis dataset contains the Cool Cities Heat Risk Index (HRI) for the municipality of Arnhem, The Netherlands. The HRI identifies where heat is most likely to cause harm by integrating hazard, exposure, and vulnerability indicators within a single, spatially explicit index. It is intended as a screening and prioritization tool for urban heat adaptation rather than a predictive model.The Arnhem HRI is calculated at 100 by 100 meter grid resolution using open national datasets. Values range from 0 to 1 and indicate relative heat risk within the city.InputsHazard: Share of grid cell area exposed to PET values at or above the defined heat stress threshold.Exposure: Number of residents, women, children (0 to 15), elderly residents (65 plus), and dwellings per grid cell.Sensitivity: Single person households, residents receiving unemployment, social or disability benefits, rented dwellings owned by housing corporations, and residents with a migration background.Adaptive capacity: Percentage of owner occupied dwellings and average property value.Indicators are capped at mean plus two standard deviations and normalized to ensure comparability across the city.MethodsThe HRI is calculated as the product of hazard, exposure, and vulnerability. Vulnerability is defined as two times sensitivity minus adaptive capacity and subsequently normalized. Missing data are handled using neutral fallback values where possible. A fourth root transformation is applied to the final normalized HRI to enhance readability while preserving relative ranking.Intended useThe dataset is intended to support evidence-based prioritisation of cooling measures, development of local adaptation plans, and spatial comparison of heat risk within Arnhem.LimitationsResults depend on proxy indicators for social vulnerability and adaptive capacity. The index reflects relative risk patterns under extreme heat conditions and does not capture health outcomes, behavioural responses, or fine-scale microclimatic variation.
DOI: 10.15159/phytop.150
title: Kurtna lakes

description: Phytoplankton biomass, diversity and abundance in samples collected from Kurtna lakes during the period 1953-2014. The folder contains: Aknajärv, Haugjärv, Jaala, Kihljärv, Konnajärv, Konsu, Konsu Peenjärv, Kulpjärv, Kuradijärv, Kurtna Ahnejärv, Kurtna Allikjärv, Kurtna Liivjärv, Kurtna Martiska, Kurtna Mustjärv, Kurtna Nõmmejärv, Kurtna Saarejärv, Kurtna Suurjärv, Kurtna Särgjärv, Kurtna Valgejärv, Laukasoo, Mätasjärv, Niinsaare, Nootjärv, Pannjärv, Peen-Kirjakjärv, Rääkjärv, Räätsma, Suur Kirjakjärv, Väike Niinsaare
DOI: 10.15468/dl.hmubcz
title: Occurrence Download

description: A dataset containing 1458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Angola",
 "GadmGid is AGO.5.7_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1458 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007041-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cb5ujf
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Polioptila dumicola [GBIF Backbone Taxonomy], Polioptilidae [GBIF Backbone Taxonomy], Polioptila plumbea plumbea [GBIF Backbone Taxonomy])",
 "InstitutionCode is one of (MNHN)"
 ]
 }
 ]
}

 The dataset includes 193 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007040-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2rq46
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.726392 24.053137, 88.649494 24.04756, 88.57450900000001 24.030968, 88.5033 24.003773, 88.437635 23.966652, 88.37914000000001 23.920526, 88.329257 23.86654, 88.28921200000001 23.806031, 88.259981 23.740499, 88.24227 23.671561, 88.236498 23.60092, 88.242788 23.530317, 88.260966 23.461487, 88.29056799999999 23.396122, 88.33085199999999 23.335826, 88.38081699999999 23.282074, 88.43922999999999 23.236183, 88.50465699999999 23.199273, 88.57549400000001 23.172247, 88.650012 23.155763, 88.726392 23.150223, 88.802772 23.155763, 88.87729 23.172247, 88.948127 23.199273, 89.013554 23.236183, 89.071967 23.282074, 89.121932 23.335826, 89.162216 23.396122, 89.191818 23.461487, 89.209996 23.530317, 89.216286 23.60092, 89.210514 23.671561, 89.192803 23.740499, 89.163572 23.806031, 89.123527 23.86654, 89.073644 23.920526, 89.01514899999999 23.966652, 88.949484 24.003773, 88.878275 24.030968, 88.80329 24.04756, 88.726392 24.053137))"},{"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/0007039-260120142942310/datasets/export for details.
DOI: 10.3535/7rc-hwb-4e5
title: Nassarius kirstenae H. H. Kool & Gili, 2021

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.9cyuzc
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Festuca nigricans, Festuca nigricans, Festuca nigricans, Festuca nigricans, Festuca norica, Festuca norica, Festuca melanopsis, Festuca puccinellii, Festuca violacea, Festuca violacea, Festuca violacea, Festuca violacea)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007038-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/0ps-wx8-wzh
title: Nassarius kirstenae H. H. Kool & Gili, 2021

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t62-4ma-xcp
title: Albinaria schuchii schuchii (Rossmässler, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n1l-7aw-vzb
title: Albinaria caerulea maculata (Rossmässler, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hk1-ky4-kv6
title: Kaliella W. T. Blanford, 1863

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qwt-3ll-tjk
title: Leptochiton bedullii Dell'Angelo & Palazzi, 1986

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rrw-vfm-xlj
title: Afropunctum F. Haas, 1934

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gg5-b06-xnl
title: Subulina H. Beck, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15214827
title: Dataset 1 for "Solar-wind triggering of substorm onset during the May 2024 superstorm: coordinated global observations and simulations"

description: Global simulations data for the intense substorm near 17:15UT in the May 10, 2024 geomagnetic storm.
DOI: 10.5281/zenodo.15214828
title: Dataset 1 for "Solar-wind triggering of substorm onset during the May 2024 superstorm: coordinated global observations and simulations"

description: Global simulations data for the intense substorm near 17:15UT in the May 10, 2024 geomagnetic storm.
DOI: 10.3535/q51-tkf-ksb
title: Vexillum Röding, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.21227/k7xp-6f86
title: "IHP Open Dataset for Power and Electromagnetic Side-Channel Analysis of B-233 ECC Hardware Implementations"

description: "This dataset provides synchronized power consumption and electromagnetic emanation measurements of five hardware implementations of Montgomery scalar multiplication for elliptic curve cryptography over the B-233 binary field, realized on FPGA and ASIC platforms and measured under controlled, repeatable conditions. It contains traces for 31 combinations of input points and secret scalars. The dataset is designed to support a broad range of side-channel analysis scenarios, including non-profiled and profiling attacks, making it a reusable benchmark for evaluating leakage and developing new SCA techniques."
DOI: 10.3535/gle-rd4-0j2
title: Jujubinus rubioi Rolán & Templado, 2001

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ra-l85-csa
title: Crucibulum quiriquinae (Lesson, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cab-4af-qd1
title: Peringia ulvae (Pennant, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kql-els-fvc
title: Nassarius dekkeri H. H. Kool, 2001

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8rm-55l-8cr
title: Reticunassa poppeorum Galindo, H. H. Kool & H. Dekker, 2017

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xt3-baa-v7f
title: Conus suratensis Hwass, 1792

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5k7-3tq-hdf
title: Varicospira kooli Moolenbeek & H. Dekker, 2007

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/al5-d36-ljs
title: Lepidopleurus cajetanus (Poli, 1791)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nzg-bs6-xjj
title: Albinaria schuchii schuchii (Rossmässler, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eys-yw0-llb
title: Loligo vulgaris Lamarck, 1798

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xcj-psk-tpm
title: Systrophiella H. B. Baker, 1925

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dth-ll3-8nn
title: Trochozonites Pfeffer, 1883

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.yny6qd
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abbottina rivularis)",
 "Country is one of (Austria, Belgium, Denmark, Finland, France, Germany, Iceland, Ireland, Luxembourg, Netherlands, Norway, Sweden, Switzerland, United Kingdom of Great Britain and Northern Ireland, Albania, Andorra, Bosnia and Herzegovina, Croatia, Cyprus, Greece, Italy, Malta, Montenegro, North Macedonia, Portugal, San Marino, Serbia, Slovenia, Spain, Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Republic of, Poland, Romania, Slovakia, Ukraine, Armenia, Azerbaijan, Georgia, Russian Federation, Türkiye, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan)",
 "Year is greater than or equal to 1970",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007042-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2316563
title: NCBN Shoreline Monitoring, 2026 Cumulative Data Package

description: The dynamic nature of coastal areas is a defining characteristic, influencing nearly every aspect of their ecology. Fundamentally disturbance driven systems, coastal shorelines and their endemic biota are continually shaped by physical forces on a time scale vastly accelerated in comparison to mainland systems. Because of the rapid pace and scope of change, long term monitoring is crucial towards understanding natural shoreline conditions as well as anthropogenic influences. These data represent a series of mean high-water shorelines collected at Assateague Island National Seashore (ASIS), Cape Cod National Seashore (CACO), Fire Island National Seashore (FIIS), Gateway National Recreation Area (GATE), George Washington Birthplace National Monument (GEWA), and Sagamore Hill National Historic Site (SAHI). The features have been assembled/collected in support of the Northeast Coastal & Barrier Inventory and Monitoring Network's Ocean Shoreline Position Monitoring Program. Surveys along the ocean shoreline were collected by driving a 4-wheel drive vehicle or walking at a relatively constant speed along the identified high tide swash line. For the purposes of this monitoring program, the actual ocean "shoreline" was defined as the average position of the most recent high tide, evidenced by the obvious wet/dry sand line or deposited wrack. The GPS/GNSS receiver was configured to record positions at a very short interval (at least 1 position every 10 meters) for the best representation of the shoreline position. Depending on the time of year and intended purpose, some surveys contain ocean, inlet and bay shorelines, while some surveys only contain ocean shorelines.
DOI: 10.15468/dl.7cpuya
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amatitlania nigrofasciata, Asprocottus minor, Caspiomyzon graecus, Acipenser baerii, Aphanius fasciatus, Dallia admirabilis, Oryzias latipes, Pygocentrus nattereri, Syngnathus abaster)",
 "Country is one of (Austria, Belgium, Denmark, Finland, France, Germany, Iceland, Ireland, Luxembourg, Netherlands, Norway, Sweden, Switzerland, United Kingdom of Great Britain and Northern Ireland, Albania, Andorra, Bosnia and Herzegovina, Croatia, Cyprus, Greece, Italy, Malta, Montenegro, North Macedonia, Portugal, San Marino, Serbia, Slovenia, Spain, Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Republic of, Poland, Romania, Slovakia, Ukraine, Armenia, Azerbaijan, Georgia, Russian Federation, Türkiye, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan)",
 "Year is greater than or equal to 1970",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 755 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007044-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fegva3
title: Occurrence Download

description: A dataset containing 27920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Brachymystax lenok, Ameiurus melas, Culaea inconstans, Alosa agone, Chelon saliens, Chanos chanos)",
 "Country is one of (Austria, Belgium, Denmark, Finland, France, Germany, Iceland, Ireland, Luxembourg, Netherlands, Norway, Sweden, Switzerland, United Kingdom of Great Britain and Northern Ireland, Albania, Andorra, Bosnia and Herzegovina, Croatia, Cyprus, Greece, Italy, Malta, Montenegro, North Macedonia, Portugal, San Marino, Serbia, Slovenia, Spain, Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Moldova, Republic of, Poland, Romania, Slovakia, Ukraine, Armenia, Azerbaijan, Georgia, Russian Federation, Türkiye, Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan)",
 "Year is greater than or equal to 1970",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 27920 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007043-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17867300
title: Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows - Replication Package
DOI: 10.5281/zenodo.17867301
title: Reliability of AI Bots Footprints in GitHub Actions CI/CD Workflows - Replication Package
DOI: 10.6084/m9.figshare.31135198
title: Dataset and R code for "Increased vulnerability of alert responses to combined call sequences under anthropogenic noise in bird communication".

description: This study showed that experimental noise exposure reduced the probability of approach more strongly for combined calls than for single calls in both Japanese tits and heterospecific tits, suggesting greater disruption of responses to complex call structures. Noise also increased latency to approach, with marginally stronger effects on heterospecific than conspecific receivers to combined calls. By contrast, noise exposure increased minimum approach distances to Japanese tits’ calls consistently across call types and receiver species. We have uploaded the dataset and R code supporting the above findings. "OriginalDataset" is the raw dataset that contains all response variables and explanatory variables. In the "species" column, "pm" indicates conspecifics, and "the others" indicate heterospecifics. In the "calltype" column, "p", "j", and "pj" indicate alert, recruitment, and alert-recruitment calls, respectively. The "Jpcall" column indicates the file ID of the Japanese tit calls. All R code for the GLMM analyses are included in the "FormalRscriptForSubmission.R" file.
DOI: 10.6084/m9.figshare.31135198.v1
title: Dataset and R code for "Increased vulnerability of alert responses to combined call sequences under anthropogenic noise in bird communication".

description: This study showed that experimental noise exposure reduced the probability of approach more strongly for combined calls than for single calls in both Japanese tits and heterospecific tits, suggesting greater disruption of responses to complex call structures. Noise also increased latency to approach, with marginally stronger effects on heterospecific than conspecific receivers to combined calls. By contrast, noise exposure increased minimum approach distances to Japanese tits’ calls consistently across call types and receiver species. We have uploaded the dataset and R code supporting the above findings. "OriginalDataset" is the raw dataset that contains all response variables and explanatory variables. In the "species" column, "pm" indicates conspecifics, and "the others" indicate heterospecifics. In the "calltype" column, "p", "j", and "pj" indicate alert, recruitment, and alert-recruitment calls, respectively. The "Jpcall" column indicates the file ID of the Japanese tit calls. All R code for the GLMM analyses are included in the "FormalRscriptForSubmission.R" file.
DOI: 10.3535/g9n-naj-v1p
title: Reticunassa annabolteae Galindo, H. H. Kool & H. Dekker, 2017

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