cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13925732
title: S3GM: Learning spatiotemporal dynamics with a pretrained generative model

description: Datasets of Kuramoto-Sivashinsky equation (KSE) and Kolmogorov flow.

Description of KSE data:

Each file for KSE datasets contains 4 dimensions in the following order: (B*V)*T*X*C. Details are listed in the following table:




B
number of varying initial conditions


V
number of varying parameters


T
number of temporal frames


X
spatial resolution


C
number of variables in solution (C = 1 for KSE)


values of parameter used to generate training dataset
1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, 3.6, 3.8, 4.0, 4.2, 4.4, 4.6, 4.8, 5.0


values of parameter used to generate test dataset
1.1, 2.5, 3.2




Description of Kolmogorov flow data:

Each file for Kolmogorov flow contains 5 dimensions inthe following order: (B*Re*K)*T*X*X*C. Details are listed in the following table:




B
number of varying initial conditions


Re
number of varying Reynolds numbers


K
number of varying source terms (controled by the value of k)


T
number of temporal frames


X
spatial resolution


C
number of variables in solution (C = 2 for Kolmogorov flow)


values of Reynolds number used to generate training dataset
100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1050


values of Reynolds number used to generate test dataset




50, 125, 575, 1100, 1500




values of k used to generate training dataset
2, 3, 4, 5, 6, 7, 8


values of k used to generate test dataset




2, 4, 6, 8






Pretrained checkpoints:

The .zip file contains the pretrained checkpoints for KSE and Kolmogorov flow. Within the .zip file, the folder'kse_v0' is the checkpoint for KSE, and 'kol_v0' is the checkpoint for Kolmogorov flow.

Source code:

The source code is upload as Github repository in https://github.com/lzy12301/S3GM
DOI: 10.5281/zenodo.14607274
title: S3GM: Learning spatiotemporal dynamics with a pretrained generative model

description: Datasets of Kuramoto-Sivashinsky equation (KSE) and Kolmogorov flow.

Description of KSE data:

Each file for KSE datasets contains 4 dimensions in the following order: (B*V)*T*X*C. Details are listed in the following table:




B
number of varying initial conditions


V
number of varying parameters


T
number of temporal frames


X
spatial resolution


C
number of variables in solution (C = 1 for KSE)


values of parameter used to generate training dataset
1.0, 1.2, 1.4, 1.6, 1.8, 2.0, 2.2, 2.4, 2.6, 2.8, 3.0, 3.2, 3.4, 3.6, 3.8, 4.0, 4.2, 4.4, 4.6, 4.8, 5.0


values of parameter used to generate test dataset
1.1, 2.5, 3.2




Description of Kolmogorov flow data:

Each file for Kolmogorov flow contains 5 dimensions inthe following order: (B*Re*K)*T*X*X*C. Details are listed in the following table:




B
number of varying initial conditions


Re
number of varying Reynolds numbers


K
number of varying source terms (controled by the value of k)


T
number of temporal frames


X
spatial resolution


C
number of variables in solution (C = 2 for Kolmogorov flow)


values of Reynolds number used to generate training dataset
100, 150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700, 750, 800, 850, 900, 950, 1000, 1050


values of Reynolds number used to generate test dataset




50, 125, 575, 1100, 1500




values of k used to generate training dataset
2, 3, 4, 5, 6, 7, 8


values of k used to generate test dataset




2, 4, 6, 8






Description of ERA5 data:

Training and testing dataset for ERA5 contains 5 dimensions inthe following order: 1*T*X*X*C, which is manually collected from https://cds.climate.copernicus.eu/datasets/reanalysis-era5-single-levels?tab=download. Note that the quantities in the datasets are already rescaled (the scale factors are saved in the scalar_era5.npy file, which is a 4x2 array recording the means and stds for the 4 quantities we used). Details are listed in the following table:




T
number of temporal frames


X
spatial resolution


C
number of variables in solution (C = 4 for ERA5)


time span for training dataset
1979-2022


time span for test dataset




2023






Pretrained checkpoints:

The .zip file contains the pretrained checkpoints for KSE, Kolmogorov flow and ERA5. Within the .zip file, the folder'kse_v0' is the checkpoint for KSE, 'kol_v0' is the checkpoint for Kolmogorov flow, and 'era5_v0' is the checkpoint for ERA5.

Source code:

The source code is upload as Github repository in https://github.com/lzy12301/S3GM
DOI: 10.5281/zenodo.15367450
title: Global retrieval of harmonized microwave land surface emissivity leveraging multi-sensor measurements from GMI, AMSR2 and MWRIs

description: This repository holds the monthly records of global clear-sky land emissivity retrieved using combined observations from five passive microwave sensors operating in GPM era, namely, `GPM-CO/GMI`, `Fengyun-3B/MWRI`, `Fengyun-3C/MWRI`, `Fengyun-3D/MWRI`, and `GCOM-W1/AMSR2`. The project uses cloud mask data six geostationary visible and infrared imagers onboard three geostationary platforms, i.e. `GOES-16/ABI`, `Himawari-8, -9/AHI`, and `MSG-1, -2, 3/SEVIRI`. Sophisticated intercalibrations were applied to scale all emissivity subsets to be aligned with the GMI retrievals. The data were aggregated into `0.25` degree global equal lat-lon grids, spaning 2014 - 2023.

Data description

The data is stored in HDF5 scientific data format. 

For all sensors except for GMI, data are averaged seperately for ascending and descending orbits, filename follows the regulations:

  `Xcal_Emissivity_{Sensor}_{Orbit}_CMG5KM_{YYYYMM}.HDF5`

 Here, placeholders are specified with:



Sensor: `AMSR2`, `FY3B`, `FY3C`, `FY3D`.

Orbit: `A` for ascending orbit, `D` for descending orbit.

YYYYMM: date like '202008'.

For instance: 'Xcal_Emissivity_AMSR2_A_CMG5KM_201407.HDF5'


For GMI, files are named like 'GMI_Emissivity_CMG5KM_202008.HDF5'.

Meta

The HDF5 data meta are listed as follows:

netcdf file:Xcal_Emissivity_FY3B_A_MWRI_CMG5KM_201401.HDF5 {
  variables:
    short emissivity(9, 720, 1440);
      :_FillValue = -9999; // int
      :desc = "Monthly mean emissivity, all samples";
      :scale_factor = 1.0E-4f; // float
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";

    short emissivity_snowfree(9, 720, 1440);
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";
      :_FillValue = -9999; // int
      :desc = "Snow-free (snowc<10%) emissivity";
      :scale_factor = 1.0E-4f; // float

    float latitude(720);
      :units = "degree_north";

    float longitude(1440);
      :units = "degree_east";

    short std(9, 720, 1440);
      :_FillValue = -9999; // int
      :scale_factor = 1.0E-4f; // float
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";
}

Cite the data: Hu, Jiheng, Rui Li, Peng Zhang, Yu Wang, Shengli Wu, Husi Letu, and Fuzhong Weng. 2026. “Global Retrieval of Harmonized Microwave Land Surface Emissivity Leveraging Multi-Sensor Measurements from GMI, AMSR2 and MWRIs.” Remote Sensing of Environment 334 (115169): 115169.
DOI: 10.5281/zenodo.15367451
title: Global retrieval of harmonized microwave land surface emissivity leveraging multi-sensor measurements from GMI, AMSR2 and MWRIs

description: This repository holds the monthly records of global clear-sky land emissivity retrieved using combined observations from five passive microwave sensors operating in GPM era, namely, `GPM-CO/GMI`, `Fengyun-3B/MWRI`, `Fengyun-3C/MWRI`, `Fengyun-3D/MWRI`, and `GCOM-W1/AMSR2`. The project uses cloud mask data six geostationary visible and infrared imagers onboard three geostationary platforms, i.e. `GOES-16/ABI`, `Himawari-8, -9/AHI`, and `MSG-1, -2, 3/SEVIRI`. Sophisticated intercalibrations were applied to scale all emissivity subsets to be aligned with the GMI retrievals. The data were aggregated into `0.25` degree global equal lat-lon grids, spaning 2014 - 2023.

Data description

The data is stored in HDF5 scientific data format. 

For all sensors except for GMI, data are averaged seperately for ascending and descending orbits, filename follows the regulations:

  `Xcal_Emissivity_{Sensor}_{Orbit}_CMG5KM_{YYYYMM}.HDF5`

 Here, placeholders are specified with:



Sensor: `AMSR2`, `FY3B`, `FY3C`, `FY3D`.

Orbit: `A` for ascending orbit, `D` for descending orbit.

YYYYMM: date like '202008'.

For instance: 'Xcal_Emissivity_AMSR2_A_CMG5KM_201407.HDF5'


For GMI, files are named like 'GMI_Emissivity_CMG5KM_202008.HDF5'.

Meta

The HDF5 data meta are listed as follows:

netcdf file:Xcal_Emissivity_FY3B_A_MWRI_CMG5KM_201401.HDF5 {
  variables:
    short emissivity(9, 720, 1440);
      :_FillValue = -9999; // int
      :desc = "Monthly mean emissivity, all samples";
      :scale_factor = 1.0E-4f; // float
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";

    short emissivity_snowfree(9, 720, 1440);
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";
      :_FillValue = -9999; // int
      :desc = "Snow-free (snowc<10%) emissivity";
      :scale_factor = 1.0E-4f; // float

    float latitude(720);
      :units = "degree_north";

    float longitude(1440);
      :units = "degree_east";

    short std(9, 720, 1440);
      :_FillValue = -9999; // int
      :scale_factor = 1.0E-4f; // float
      :Channel = "10v,10h,19v,19h,23v,37v,37h,89v,89h";
}

Cite the data: Hu, Jiheng, Rui Li, Peng Zhang, Yu Wang, Shengli Wu, Husi Letu, and Fuzhong Weng. 2026. “Global Retrieval of Harmonized Microwave Land Surface Emissivity Leveraging Multi-Sensor Measurements from GMI, AMSR2 and MWRIs.” Remote Sensing of Environment 334 (115169): 115169.
DOI: 10.15468/dl.mf43be
title: Occurrence Download

description: A dataset containing 10844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 59.085278",
 "DecimalLatitude is less than or equal to 64.085278",
 "DecimalLongitude is greater than or equal to 125.0",
 "DecimalLongitude is less than or equal to 130.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 10844 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039098-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mun7zv
title: Occurrence Download

description: A dataset listing the 2047 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Marine biodiversity atlas of the Balearic Sea"
 ]
}

 The dataset's 2047 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039092-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/qhgikc
title: PAN-00181794 - ring unspecified (Roman period)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181794&lt;/p&gt;
description: Modified: 2025-11-03T16:01:04+01:00
DOI: 10.15468/dl.99xrhf
title: Occurrence Download

description: A dataset containing 1933 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gorilla gorilla"
 ]
}

 The dataset includes 1933 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9n25et
title: Occurrence Download

description: A dataset containing 13006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laonice bahusiensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13006 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039100-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17860850
title: WikiArt_VLM
DOI: 10.15468/dl.wpdcgc
title: Occurrence Download

description: A dataset containing 4344 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 64.085278",
 "DecimalLatitude is less than or equal to 69.085278",
 "DecimalLongitude is greater than or equal to 125.0",
 "DecimalLongitude is less than or equal to 130.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 4344 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039101-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/srwohy
title: PAN-00127670 - coin/coin-related, Victorinus (269-271)/Tetricus I (271-274) ?, naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00127670&lt;/p&gt;
description: Modified: 2025-10-21T11:12:57+02:00
DOI: 10.5281/zenodo.16731673
title: WikiArt_VLM
DOI: 10.6073/pasta/00341116ab5c8eac60e641cb1b5c3468
title: Streamflow data for Albion camp, 1981 - ongoing.

description: This is a summary of discharges from the Green Lakes Basin (7.1 km2
 area) and is based on stage records from the control section in the
 channel, about 50 m downstream of the culvert under the road at the
 Albion camp, and consists of daily flow volumes. Initially,
 instrumentation consisted of a Leupold-Stevens A70 float recorder.
 The site was initially instrumented with an Omnidata EZ900 data
 logger system interfaced to a Keller 1 psi pressure transducer on 29
 June 1993. In order to establish cross-calibration between the 2
 forms of instrumentation, both were planned to be used through 1994.
 In 2005, a Campbell cr10x data logger was installed; it was replaced
 by a Campbell cr1000 in 2013.
DOI: 10.15468/dl.sr2d8j
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhinoceros sondaicus"
 ]
}

 The dataset includes 381 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039102-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exsn94
title: Occurrence Download

description: A dataset containing 3215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus oocarpa"
 ]
}

 The dataset includes 3215 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039103-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16728824
title: WikiArt_VLM
DOI: 10.15468/dl.perk5j
title: Occurrence Download

description: A dataset containing 8542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laonice cirrata",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8542 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039104-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we75qq
title: Occurrence Download

description: A dataset containing 13468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 69.085278",
 "DecimalLatitude is less than or equal to 74.085278",
 "DecimalLongitude is greater than or equal to 125.0",
 "DecimalLongitude is less than or equal to 130.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 13468 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039105-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmy3d3
title: Occurrence Download

description: A dataset containing 12955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plagiotremus"
 ]
}

 The dataset includes 12955 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039106-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14066112
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17026/ar/g47z70
title: PAN-00172212 - plank (undetermined, carvel, wood)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00172212&lt;/p&gt;
description: Modified: 2025-10-29T09:09:11+01:00
DOI: 10.6073/pasta/c3fa75cfe47c10fb61d866fe4d75a93a
title: Streamflow for Green Lake 4, 1981 - ongoing.

description: This is a summary of discharges from the upper Green Lakes Basin
 based on stage records from the outlet of Green Lake 4, and consists
 of daily flow volumes.
DOI: 10.15468/dl.vh7ry2
title: Occurrence Download

description: A dataset containing 259707 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Helmitheros vermivorum)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 259707 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039079-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/yhjjcr
title: PAN-00161389 - oval to halfround/D-shaped buckle, broadened front

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00161389&lt;/p&gt;
description: Modified: 2025-10-21T17:18:16+02:00
DOI: 10.15468/dl.wjbr4e
title: Occurrence Download

description: A dataset containing 16840 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laonice sarsi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16840 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039108-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14066119
title: Berita UNDIP
DOI: 10.15468/dl.94gcpj
title: Occurrence Download

description: A dataset containing 752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lycium boerhaaviaefolium, Lycium carolinianum, Lycium deserti, Lycium distichum, Lycium leiostemum, Lycium rachidocladum)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 752 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039109-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14066127
title: Berita UNNES
DOI: 10.17026/ar/hwo6fj
title: PAN-00181283 - dog badge

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181283&lt;/p&gt;
description: Modified: 2025-10-20T16:03:29+02:00
DOI: 10.15468/dl.em3z8g
title: Occurrence Download

description: A dataset containing 11451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacoceros fuliginosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11451 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039112-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/luouyh
title: Replication Data for: Local Taxes and Economic Voting: Evidence from City Ballot Measures

description: Do voters punish local politicians for raising taxes? In California, proposed tax increases must be approved via local ballot measures. Using a regression discontinuity design that exploits the narrow passage of local tax initiatives, we find that incumbents don't generally suffer a penalty when cities raise taxes, with the notable exception of business taxes. We explore several mechanisms behind this result and uncover suggestive evidence that business interests may be particularly likely to mobilize following a tax increase. These results suggest that interest groups likely play an important role in determining whether new taxes generate voter backlash.
DOI: 10.15468/dl.8vvc27
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Maihueniopsis archiconoidea, Maihueniopsis atacamensis, Maihueniopsis colorea, Maihueniopsis crassispina, Maihueniopsis darwinii, Maihueniopsis domeykoensis, Maihueniopsis grandiflora, Maihueniopsis nigrispina, Maihueniopsis ovata, Maihueniopsis rahmeri, Maihueniopsis wagenknechtii)",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039114-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/y4ooc7
title: PAN-00040790 - equal armed bow brooch with profiled edge on sculpted end plates (eye-hook)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00040790&lt;/p&gt;
description: Modified: 2025-10-30T16:17:41+01:00
DOI: 10.15468/dl.wpuy55
title: Occurrence Download

description: A dataset containing 860394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Limanda limanda"
 ]
}

 The dataset includes 860394 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039086-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ufthf
title: Occurrence Download

description: A dataset containing 2387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacoceros vulgaris",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2387 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039115-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/g2oxqp
title: PAN-00027651 - wall fragment (glass vessel)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00027651&lt;/p&gt;
description: Modified: 2025-11-03T12:39:51+01:00