cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rw54cf
title: Occurrence Download

description: A dataset containing 173 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.113481 -33.9907, 148.113481 -33.992946, 148.120218 -33.992946, 148.120218 -33.995191, 148.122464 -33.995191, 148.122464 -34.001929, 148.129201 -34.001929, 148.129201 -34.00642, 148.12471 -34.00642, 148.12471 -34.008666, 148.122464 -34.008666, 148.122464 -34.010912, 148.131447 -34.010912, 148.131447 -33.999683, 148.12471 -33.999683, 148.12471 -33.992946, 148.129201 -33.992946, 148.129201 -33.995191, 148.131447 -33.995191, 148.131447 -33.992946, 148.138184 -33.992946, 148.138184 -33.9907, 148.113481 -33.9907)), ((148.131447 -33.999683, 148.135939 -33.999683, 148.135939 -33.995191, 148.131447 -33.995191, 148.131447 -33.999683)))"
 ]
}

 The dataset includes 173 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059732-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xayeas
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron araiophyllum Balf.fil. & W.W.Sm."
 ]
}

 The dataset includes 63 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059734-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2chzx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.065699 -34.00642, 149.065699 -34.008666, 149.067945 -34.008666, 149.067945 -34.010912, 149.074683 -34.010912, 149.074683 -34.008666, 149.072437 -34.008666, 149.072437 -34.00642, 149.065699 -34.00642))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059735-240626123714530/datasets/export for details.
DOI: 10.15468/dl.dyg5rn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.256592 -34.00642, 149.256592 -34.008666, 149.258838 -34.008666, 149.258838 -34.00642, 149.256592 -34.00642))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059736-240626123714530/datasets/export for details.
DOI: 10.15468/dl.b2x5eg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.070811 -34.008666, 148.084285 -34.008666, 148.084285 -34.010912, 148.091023 -34.010912, 148.091023 -34.008666, 148.088777 -34.008666, 148.088777 -34.00642, 148.070811 -34.00642, 148.070811 -34.008666)), ((148.070811 -34.008666, 148.066319 -34.008666, 148.066319 -34.010912, 148.070811 -34.010912, 148.070811 -34.008666)), ((148.091023 -34.008666, 148.093269 -34.008666, 148.093269 -34.00642, 148.091023 -34.00642, 148.091023 -34.008666)), ((148.093269 -34.00642, 148.09776 -34.00642, 148.09776 -34.001929, 148.093269 -34.001929, 148.093269 -34.00642)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059738-240626123714530/datasets/export for details.
DOI: 10.15468/dl.c9e3f7
title: Occurrence Download

description: A dataset containing 7868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (April, May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalacrocorax fuscescens (Vieillot, 1817)",
 "Year 1000-2017"
 ]
}

 The dataset includes 7868 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059739-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.93ju5y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.625523 -34.008666, 148.625523 -34.010912, 148.630014 -34.010912, 148.630014 -34.008666, 148.625523 -34.008666))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059740-240626123714530/datasets/export for details.
DOI: 10.15468/dl.bm9bjm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.65921 -34.001929, 148.65921 -34.008666, 148.652472 -34.008666, 148.652472 -34.010912, 148.661456 -34.010912, 148.661456 -34.00642, 148.665947 -34.00642, 148.665947 -34.001929, 148.65921 -34.001929))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059742-240626123714530/datasets/export for details.
DOI: 10.15468/dl.vv5wqn
title: Occurrence Download

description: A dataset containing 1357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlaenius tristis (Schaller, 1783)"
 ]
}

 The dataset includes 1357 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059743-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vb9zxf
title: Occurrence Download

description: A dataset containing 5416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Phalacrocorax fuscescens (Vieillot, 1817)",
 "Year 1000-2017"
 ]
}

 The dataset includes 5416 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059741-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hj7vn3
title: Occurrence Download

description: A dataset containing 3902200 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corvus corone Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3902200 records from 4947 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059737-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17192051
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part1: Precipitation Data]

description: Systematic biases and the coarse spatial resolution of global climate model (GCM) outputs limit their applicability for regional-scale studies. To address this, we present a daily bias-corrected climate projection dataset for India developed using a non-stationary multivariate bias correction method, rank resampling for distributions and dependences (R2D2). Unlike traditional univariate approaches (e.g., QM, CDF-t), R2D2 corrects model biases while preserving inter-variable dependence. Using precipitation and temperature outputs from 13 CMIP6 GCMs, we generate a 0.25° resolution dataset covering the historical period (1951–2014) and future projections (2015–2100) under four SSP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The dataset is evaluated against observations using multivariate statistical properties that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron relationship between precipitation and temperature, and the frequency of Compound Hot and Dry Events (CDHEs). This resource supports diverse applications in climate impact research, particularly studies of precipitation–temperature dependence, compound extremes, hydrological modelling, and drought risk assessment.
DOI: 10.5281/zenodo.17192050
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part1: Precipitation Data]

description: Systematic biases and the coarse spatial resolution of global climate model (GCM) outputs limit their applicability for regional-scale studies. To address this, we present a daily bias-corrected climate projection dataset for India developed using a non-stationary multivariate bias correction method, rank resampling for distributions and dependences (R2D2). Unlike traditional univariate approaches (e.g., QM, CDF-t), R2D2 corrects model biases while preserving inter-variable dependence. Using precipitation and temperature outputs from 13 CMIP6 GCMs, we generate a 0.25° resolution dataset covering the historical period (1951–2014) and future projections (2015–2100) under four SSP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The dataset is evaluated against observations using multivariate statistical properties that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron relationship between precipitation and temperature, and the frequency of Compound Hot and Dry Events (CDHEs). This resource supports diverse applications in climate impact research, particularly studies of precipitation–temperature dependence, compound extremes, hydrological modelling, and drought risk assessment.
DOI: 10.5281/zenodo.17202688
title: Table 4 in Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests

description: Table 4. Primer sequences, source and annealing temperatures for mitochondrial cytochrome c oxydase subunit I (COI).
ForwardSequenceReferenceAnnealing temperatureC1-J-1490 / LCO-14905’-GGTCAACAAATCATAAAGATATTGG-3’Folmer et al. (1994)42–45°CC1-N-2191 / Nancy5’-CCCGGTAAAATTAAAATATAAACTTC-3’Folmer et al. (1994)42–45°CLepF15’-ATTCAACCAATCATAAAGATATTGG-3’Hebert et al. (2004)40°C / 51°CM13F (-21)5’-TGTAAAACGACGGCCAGT-3’Messing (1983)40°C / 51°CReverseSequenceReferenceAnnealing temperatureC1-N-2198 / HCO-21985’-TAAACTTCAGGGTGACCAAAAAATCA-3’Folmer et al. (1994)42–45°CC1-N-2198 / HCO-21985’-TAAACTTCAGGGTGACCAAAAAATCA-3’Folmer et al. (1994)42–45°CLepR15’-TAAACTTCTGGATGTCCAAAAAATCA-3’Hebert et al. (2004)40°C / 51°CM13R (-27)5’-CAGGAAACAGCTATGAC-3’Messing (1983)40°C / 51°C
description: Published as part of Labarque, Facundo M., Piacentini, Luis N., Pons, Joan, Hormiga, Gustavo, Arnedo, Miquel A. & Ramírez, Martín J., 2025, Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests, pp. 22 in European Journal of Taxonomy 1010 on page 22, DOI: 10.5852/ejt.2025.1010.3021, http://zenodo.org/record/17202080
DOI: 10.5281/zenodo.17202687
title: Table 4 in Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests

description: Table 4. Primer sequences, source and annealing temperatures for mitochondrial cytochrome c oxydase subunit I (COI).
ForwardSequenceReferenceAnnealing temperatureC1-J-1490 / LCO-14905’-GGTCAACAAATCATAAAGATATTGG-3’Folmer et al. (1994)42–45°CC1-N-2191 / Nancy5’-CCCGGTAAAATTAAAATATAAACTTC-3’Folmer et al. (1994)42–45°CLepF15’-ATTCAACCAATCATAAAGATATTGG-3’Hebert et al. (2004)40°C / 51°CM13F (-21)5’-TGTAAAACGACGGCCAGT-3’Messing (1983)40°C / 51°CReverseSequenceReferenceAnnealing temperatureC1-N-2198 / HCO-21985’-TAAACTTCAGGGTGACCAAAAAATCA-3’Folmer et al. (1994)42–45°CC1-N-2198 / HCO-21985’-TAAACTTCAGGGTGACCAAAAAATCA-3’Folmer et al. (1994)42–45°CLepR15’-TAAACTTCTGGATGTCCAAAAAATCA-3’Hebert et al. (2004)40°C / 51°CM13R (-27)5’-CAGGAAACAGCTATGAC-3’Messing (1983)40°C / 51°C
description: Published as part of Labarque, Facundo M., Piacentini, Luis N., Pons, Joan, Hormiga, Gustavo, Arnedo, Miquel A. & Ramírez, Martín J., 2025, Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests, pp. 22 in European Journal of Taxonomy 1010 on page 22, DOI: 10.5852/ejt.2025.1010.3021, http://zenodo.org/record/17202080
DOI: 10.17026/ar/gstzev
title: PAN-00177568 - ring unspecified (period unspecified)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00177568&lt;/p&gt;
description: Modified: 2025-07-24T09:22:29+02:00
DOI: 10.15468/dl.nxz73n
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016203-250920141307145/datasets/export for details.
DOI: 10.5281/zenodo.17202691
title: Table 5 in Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests

description: Table 5. Summary of tree statistics and GMYC results for different codon partitions using different models. ML entity counts includes single taxa (e.g., Baalzebub albonotatus and GenBank entities), but excludes outgroups. AICc=Akaike information criterion corrected; AICw =Akaike information criterion weight; lk=likelihood; LRT=likelihood ratio test; ML= maximum likelihood. Bold = best-fitting model; –lnL = negative log-likelihood of the tree under the selected model.
Partition-lnLAICcAICwMethodlk nulllk GMYClk ratioLRTNumberConfidenceNumberConfidenceThreshouldmodelmodelML clustersIntervalML entitiesIntervaltimeGene10106.12811520214.30Single406.5638473.2875133.44740***2121–214343–44-0.017137Multiple406.5638473.8893134.6510***2121–214544–45-0.017137 -0.0067213 rd Codon9785.43228619574.90Single475.1251555.5367160.82320***2424–244342–44-0.012465Multiple475.1251557.0421163.83390***2624–264032–44-0.427075 -0.304391 -0.063662 -0.006629 -0.006186 -0.001988 -0.001766Codon9704.24809119414.61Single480.4394554.5957148.31260***2424–244342–44-0.012835specificMultiple480.4394555.1998149.52070***2423–254642–46-0.012835 -0.002678
description: Published as part of Labarque, Facundo M., Piacentini, Luis N., Pons, Joan, Hormiga, Gustavo, Arnedo, Miquel A. & Ramírez, Martín J., 2025, Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests, pp. 26 in European Journal of Taxonomy 1010 on page 26, DOI: 10.5852/ejt.2025.1010.3021, http://zenodo.org/record/17202080
DOI: 10.5281/zenodo.17202692
title: Table 5 in Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests

description: Table 5. Summary of tree statistics and GMYC results for different codon partitions using different models. ML entity counts includes single taxa (e.g., Baalzebub albonotatus and GenBank entities), but excludes outgroups. AICc=Akaike information criterion corrected; AICw =Akaike information criterion weight; lk=likelihood; LRT=likelihood ratio test; ML= maximum likelihood. Bold = best-fitting model; –lnL = negative log-likelihood of the tree under the selected model.
Partition-lnLAICcAICwMethodlk nulllk GMYClk ratioLRTNumberConfidenceNumberConfidenceThreshouldmodelmodelML clustersIntervalML entitiesIntervaltimeGene10106.12811520214.30Single406.5638473.2875133.44740***2121–214343–44-0.017137Multiple406.5638473.8893134.6510***2121–214544–45-0.017137 -0.0067213 rd Codon9785.43228619574.90Single475.1251555.5367160.82320***2424–244342–44-0.012465Multiple475.1251557.0421163.83390***2624–264032–44-0.427075 -0.304391 -0.063662 -0.006629 -0.006186 -0.001988 -0.001766Codon9704.24809119414.61Single480.4394554.5957148.31260***2424–244342–44-0.012835specificMultiple480.4394555.1998149.52070***2423–254642–46-0.012835 -0.002678
description: Published as part of Labarque, Facundo M., Piacentini, Luis N., Pons, Joan, Hormiga, Gustavo, Arnedo, Miquel A. & Ramírez, Martín J., 2025, Ray spider rush: Fast-tracking integrative taxonomy in Panama's cloud forests, pp. 26 in European Journal of Taxonomy 1010 on page 26, DOI: 10.5852/ejt.2025.1010.3021, http://zenodo.org/record/17202080
DOI: 10.6084/m9.figshare.30210033
title: Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling

description: Reinforcement Learning (RL) provides a framework for solving sequential decision-making tasks, yet limited and potentially unsafe data hinder its training process. Off-policy algorithms are commonly employed to mitigate these issues, but they face challenges in data-scarce or non-ergodic environments and often exhibit exploding variance over long trajectories. We propose a novel algorithm that integrates Thompson Sampling, originally developed for multi-armed bandit problems, to enable efficient and safe policy identification. By exploiting the structural properties of Structured Markov Decision Processes (SMDPs), our approach reduces the policy search space, enhances learning stability, and demonstrates superior performance compared to Q-learning, SOCU, and SOCU-v2.
DOI: 10.6084/m9.figshare.30210033.v1
title: Enhancing off-policy optimisation in structured Markov decision processes via Thompson Sampling

description: Reinforcement Learning (RL) provides a framework for solving sequential decision-making tasks, yet limited and potentially unsafe data hinder its training process. Off-policy algorithms are commonly employed to mitigate these issues, but they face challenges in data-scarce or non-ergodic environments and often exhibit exploding variance over long trajectories. We propose a novel algorithm that integrates Thompson Sampling, originally developed for multi-armed bandit problems, to enable efficient and safe policy identification. By exploiting the structural properties of Structured Markov Decision Processes (SMDPs), our approach reduces the policy search space, enhances learning stability, and demonstrates superior performance compared to Q-learning, SOCU, and SOCU-v2.
DOI: 10.17026/ar/4sjequ
title: PAN-00154481 - Late Medieval/modern inscription ring

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00154481&lt;/p&gt;
description: Modified: 2025-05-07T13:54:20+02:00
DOI: 10.17026/ar/kwlvpa
title: PAN-00086997 - shield binding for rectangular or trapezoid shield

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00086997&lt;/p&gt;
description: Modified: 2025-06-05T18:19:11+02:00
DOI: 10.5281/zenodo.17192089
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part2: Temperature Data]

description: Systematic biases and the coarse spatial resolution of global climate model (GCM) outputs limit their applicability for regional-scale studies. To address this, we present a daily bias-corrected climate projection dataset for India developed using a non-stationary multivariate bias correction method, rank resampling for distributions and dependences (R2D2). Unlike traditional univariate approaches (e.g., QM, CDF-t), R2D2 corrects model biases while preserving inter-variable dependence. Using precipitation and temperature outputs from 13 CMIP6 GCMs, we generate a 0.25° resolution dataset covering the historical period (1951–2014) and future projections (2015–2100) under four SSP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The dataset is evaluated against observations using multivariate statistical properties that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron relationship between precipitation and temperature, and the frequency of Compound Hot and Dry Events (CDHEs). This resource supports diverse applications in climate impact research, particularly studies of precipitation–temperature dependence, compound extremes, hydrological modelling, and drought risk assessment.
DOI: 10.5281/zenodo.17192090
title: Non-stationary multivariate bias-corrected CMIP6 climate projections of daily precipitation and temperature over India [Part2: Temperature Data]

description: Systematic biases and the coarse spatial resolution of global climate model (GCM) outputs limit their applicability for regional-scale studies. To address this, we present a daily bias-corrected climate projection dataset for India developed using a non-stationary multivariate bias correction method, rank resampling for distributions and dependences (R2D2). Unlike traditional univariate approaches (e.g., QM, CDF-t), R2D2 corrects model biases while preserving inter-variable dependence. Using precipitation and temperature outputs from 13 CMIP6 GCMs, we generate a 0.25° resolution dataset covering the historical period (1951–2014) and future projections (2015–2100) under four SSP scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The dataset is evaluated against observations using multivariate statistical properties that capture dependence structures, including Pearson correlation, Kendall’s tau, the Clausius–Clapeyron relationship between precipitation and temperature, and the frequency of Compound Hot and Dry Events (CDHEs). This resource supports diverse applications in climate impact research, particularly studies of precipitation–temperature dependence, compound extremes, hydrological modelling, and drought risk assessment.
DOI: 10.15468/dl.cymn2p
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Taxodium distichum",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016204-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/c4ywpx
title: PAN-00041573 - rectangular/rhombic suspension mount (broad hip belt)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00041573&lt;/p&gt;
description: Modified: 2025-06-09T13:52:13+02:00
DOI: 10.15468/dl.tn4maw
title: Occurrence Download

description: A dataset containing 469781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sternula albifrons)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 469781 records from 608 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016157-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/w79obg
title: PAN-00173288 - figurine of equid

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00173288&lt;/p&gt;
description: Modified: 2025-04-25T10:52:27+02:00
DOI: 10.17026/ar/smcms5
title: PAN-00081365 - cast tubular lead net sinker

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00081365&lt;/p&gt;
description: Modified: 2025-07-10T14:22:26+02:00
DOI: 10.17026/ar/iaanb7
title: PAN-00104610 - coin/coin-related, Vespasianus (69-71), denarius

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00104610&lt;/p&gt;
description: Modified: 2025-04-28T12:12:08+02:00