cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5hx1625n
title: MassIVE MSV000094417 - O-GlcNAcome and Phosphoproteome
title: Liver circadian clock and daily rhythmic transcriptome are highly responsive to metabolic cues generated from daily feeding activity. The mechanisms that mediate metabolic inputs to the whole rhythmic transcriptome are still under investigation. Here, we explored the role of O-GlcNAcylation, a nutrient-sensitive post-translational modification (PTM) that integrates circadian and metabolic signals, in the diurnal regulation of nuclear proteins. We found daily oscillation of overall nuclear protein O-GlcNAcylation in the liver of mice subjected to natural night time-restricted feeding (NRF). O-GlcNAcomic analysis revealed that 11.54% of 719 O-GlcNAcylated proteins are rhythmically O-GlcNAcylated. Proteins involved in gene expression were enriched, suggesting rhythmic O-GlcNAcylation may directly shape diurnal transcriptome. Furthermore, we showed that rhythmic O-GlcNAcylation could indirectly modulate diurnal transcriptome by interacting with phosphorylation. Specifically, several proteins harboring O-GlcNAcylation-phosphorylation interplay motif exhibit rhythmic O-GlcNAcylation and phosphorylation. For example, O-GlcNAcylation may occur at a phosphor-degron of a key circadian transcriptional activator, circadian locomotor output cycles kaput (CLOCK), regulating the stability and transcriptional output of CLOCK. Lastly, unnatural day time-restricted feeding (DRF) dampens O-GlcNAcylation rhythm, suggesting the disruption of diurnal transcriptome could be mediated by protein O-GlcNAcylation. In summary, our results provide mechanistic insights into metabolic regulation of diurnal transcriptome at PTM level and shed light on the deleterious effects of improper mealtimes.
DOI: 10.6084/m9.figshare.25037369
title: VI scores and expert assessments of 111 box gum grassy woodland sites

description: Dataset to support "<b>Does the NSW Vegetation Integrity assessment underestimate the conservation values of derived native grasslands?</b>".Data for 111 Critically Endangered Box-gum grassy woodlands (BGGW) and associated DNG sites. VI scores are derived using the geometric mean of Composition, Structure, and Function sub-indices (V__Geometric, the default VI metric) which is contrasted with three alternatives: (1) the arithmetic mean of Composition, Structure, and Function (VI_Arithmetic); (2) the geometric mean calculated after applying a minimum value of 10 for Function (VI_Function_min10); and (3) using a grassland vegetation class benchmark (VI_Grassland_BM).
DOI: 10.6084/m9.figshare.25037369.v1
title: VI scores and expert assessments of 111 box gum grassy woodland sites

description: Dataset to support "<b>Does the NSW Vegetation Integrity assessment underestimate the conservation values of derived native grasslands?</b>".Data for 111 Critically Endangered Box-gum grassy woodlands (BGGW) and associated DNG sites. VI scores are derived using the geometric mean of Composition, Structure, and Function sub-indices (V__Geometric, the default VI metric) which is contrasted with three alternatives: (1) the arithmetic mean of Composition, Structure, and Function (VI_Arithmetic); (2) the geometric mean calculated after applying a minimum value of 10 for Function (VI_Function_min10); and (3) using a grassland vegetation class benchmark (VI_Grassland_BM).
DOI: 10.15468/dl.27h7aj
title: Occurrence Download

description: A dataset listing the 13 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-86.78876 21.14489,-86.7876 21.14651,-86.78873 21.14737,-86.79007 21.14795,-86.79295 21.15092,-86.7948 21.15178,-86.79973 21.15734,-86.80099 21.16102,-86.80364 21.16877,-86.80652 21.17968,-86.8066 21.18549,-86.80622 21.1901,-86.80501 21.19406,-86.80482 21.19878,-86.80457 21.20379,-86.80306 21.2086,-86.82957 21.21218,-86.85749 21.23255,-87.18078 21.06076,-87.15425 21.01059,-87.18611 20.99453,-87.19695 20.99053,-87.2125 20.98473,-87.2055 20.98355,-87.19782 20.98299,-87.19593 20.98211,-87.19514 20.9814,-87.19425 20.98092,-87.15856 20.96423,-87.14282 20.94613,-87.09274 20.89017,-87.08074 20.87682,-87.07193 20.86722,-87.07037 20.86547,-87.06866 20.86474,-87.06219 20.86419,-87.05627 20.86371,-87.04994 20.86156,-87.04151 20.86278,-87.02363 20.86085,-87.00398 20.85952,-86.98249 20.85834,-86.93689 20.85468,-86.9139 20.85338,-86.90353 20.84611,-86.89834 20.85546,-86.87464 20.84577,-86.87316 20.85061,-86.87056 20.85961,-86.86464 20.87069,-86.86351 20.88004,-86.86047 20.891,-86.85134 20.89791,-86.84699 20.90278,-86.8448 20.92051,-86.83595 20.92814,-86.83663 20.95484,-86.82914 20.96564,-86.82846 20.97645,-86.82404 20.99755,-86.81068 21.02892,-86.80137 21.03422,-86.79206 21.03497,-86.78841 21.03081,-86.78031 21.03081,-86.77707 21.03459,-86.78031 21.03837,-86.78274 21.05136,-86.76737 21.09002,-86.74933 21.12681,-86.73529 21.13616,-86.74866 21.14052,-86.75802 21.13741,-86.7647 21.13803,-86.7794 21.14613,-86.78876 21.14489))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Testudines"
 ]
}

 The dataset's 13 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045351-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10888665
title: UCQM (Universal Cognitive Quantum Motor)
DOI: 10.5281/zenodo.10888666
title: UCQM (Universal Cognitive Quantum Motor)
DOI: 10.5281/zenodo.10888715
title: UCQM (Universal Cognitive Quantum Motor)
DOI: 10.6084/m9.figshare.25476724
title: Base de Dados para monografia.

description: Dataset for empirical evaluation of Covered Interest rate Pairity.
DOI: 10.6084/m9.figshare.25476724.v1
title: Base de Dados para monografia.

description: Dataset for empirical evaluation of Covered Interest rate Pairity.
DOI: 10.15468/dl.wtqw5m
title: Occurrence Download

description: A dataset containing 26889752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26889752 records from 3611 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045327-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tn8tz
title: Occurrence Download

description: A dataset containing 695 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus, Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Chroicocephalus brunnicephalus (Jerdon, 1840), Larus brunnicephalus Jerdon, 1840, Larus brunnicephalus Jerdon, 1840, Larus brunnicephalus, Larus brunnicephalus Jerdon, 1840)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "StateProvince is one of (Qinghai)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 695 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083483-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s75h8a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.35277 -7.25579,145.64723 -7.25579,145.64723 7.25579,109.35277 7.25579,109.35277 -7.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus caerulivirens Ziegler, Böhme & Philipp, 1999",
 "Year 2004-2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083484-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w7ek3y
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.35277 -2.25579,144.64723 -2.25579,144.64723 12.25579,108.35277 12.25579,108.35277 -2.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus lirungensis Koch, Arida, Schmitz, Böhme & Ziegler, 2009"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083485-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5qfu29
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((106.35277 -8.75579,142.64723 -8.75579,142.64723 5.75579,106.35277 5.75579,106.35277 -8.75579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus melinus Böhme & Ziegler, 1997"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083488-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ypzhy
title: Occurrence Download

description: A dataset containing 13483 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptidea juvernica Williams, 1946",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 13483 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083486-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axhdkz
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083487-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26824318
title: Primary Survey Data in the MRT

description: <b>Background</b>The Indonesian government built the Mass Rapid Transit (MRT) in Jakarta to reduce traffic congestion and carbon dioxide (CO<sub>2</sub>) emissions. The objective of this study is to estimate the CO<sub>2</sub> emissions reductions from switching from private transport to MRT by using a methodology proposed by the United Nations Convention on Climate Change (UNFCCC) for developing countries, namely the Clean Development Mechanism (CDM) methodology, which generates Certified Emission Reductions (CERs). This methodology is more comprehensive than other available methodologies. However, this method has not been widely used to calculate greenhouse gas (GHG) emission reductions in mass transit projects because it is complex enough to require a lot of data based on primary surveys. Therefore, this research simplifies the CDM formula to make it easier and applicable in Indonesia.<b>Methods</b>The primary data were collected using a questionnaire distributed to 480 MRT Jakarta Phase 1 user respondents in September 2019 (baseline); the secondary data were obtained from The MRT Jakarta. The data were processed using IBM SPSS Statistics 27. The simplified Clean Development Mechanism Approved Consolidated Methodology 0016 (CDM ACM 0016) was the analysis method used<b>Result</b>The results of this study indicate that 53.75% of MRT Jakarta Phase 1 users are shifting from private transportation, which has reduced CO<sub>2</sub> emissions by 2,732.7 tons in 2019 and 6,043.9 tons in 2023. Increasing the number of MRT passengers who switch from private transportation will further reduce CO<sub>2</sub> emissions.<b>Conclusion and implications</b>The simplified CDM ACM 0016 formula may be suitable for use in Indonesia. This would enable the measurement of CO₂ emission reductions through mitigation actions through MRT development to be certified by the UNFCCC. Applying this method in calculating CO₂ emission reductions, implementing strategies to increase MRT passengers, and using renewable energy electricity sources would increase CO₂ emission reductions
DOI: 10.6084/m9.figshare.26824318.v2
title: <b>Simplification of Clean Development Mechanism to Measure CO</b><sub><strong>2</strong></sub><b> Emission Reductions from Shifting Private Transportation to </b><b>Mass Rapid Transit</b><b> A Case Study of MRT Jakarta Phase 1</b>

description: <b>Background</b>The Indonesian government built the Mass Rapid Transit (MRT) in Jakarta to reduce traffic congestion and carbon dioxide (CO<sub>2</sub>) emissions. The objective of this study is to estimate the CO<sub>2</sub> emissions reductions from switching from private transport to MRT by using a methodology proposed by the United Nations Convention on Climate Change (UNFCCC) for developing countries, namely the Clean Development Mechanism (CDM) methodology, which generates Certified Emission Reductions (CERs). This methodology is more comprehensive than other available methodologies. However, this method has not been widely used to calculate greenhouse gas (GHG) emission reductions in mass transit projects because it is complex enough to require a lot of data based on primary surveys. Therefore, this research simplifies the CDM formula to make it easier and applicable in Indonesia.<b>Methods</b>The primary data were collected using a questionnaire distributed to 480 MRT Jakarta Phase 1 user respondents in September 2019 (baseline); the secondary data were obtained from The MRT Jakarta. The data were processed using IBM SPSS Statistics 27. The simplified Clean Development Mechanism Approved Consolidated Methodology 0016 (CDM ACM 0016) was the analysis method used<b>Result</b>The results of this study indicate that 53.75% of MRT Jakarta Phase 1 users are shifting from private transportation, which has reduced CO<sub>2</sub> emissions by 2,732.7 tons in 2019 and 6,043.9 tons in 2023. Increasing the number of MRT passengers who switch from private transportation will further reduce CO<sub>2</sub> emissions.<b>Conclusion and implications</b>The simplified CDM ACM 0016 formula may be suitable for use in Indonesia. This would enable the measurement of CO₂ emission reductions through mitigation actions through MRT development to be certified by the UNFCCC. Applying this method in calculating CO₂ emission reductions, implementing strategies to increase MRT passengers, and using renewable energy electricity sources would increase CO₂ emission reductions
DOI: 10.15468/dl.bmgwmp
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((109.85277 -7.25579,146.14723 -7.25579,146.14723 7.25579,109.85277 7.25579,109.85277 -7.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus rainerguentheri Ziegler, Böhme & Schmitz, 2007",
 "Year 2004-2024"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083489-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f8hmz
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((103.35277 -10.25579,139.64723 -10.25579,139.64723 4.25579,103.35277 4.25579,103.35277 -10.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Varanus togianus (Peters, 1872)",
 "Year 2004-2024"
 ]
}

 The dataset includes 53 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083491-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37xfqw
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083492-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uawzvu
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083493-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8pcbw
title: Occurrence Download

description: A dataset containing 29824 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptinotarsa decemlineata (Say, 1824)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 29824 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083494-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67y5jc
title: Occurrence Download

description: A dataset containing 100873 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Leptidea sinapis (Linnaeus, 1758)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 100873 records from 1588 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083490-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10234691
title: Belchertown Cave Inscription 4

description: Belchertown Cave Inscription 5
Full Cave View
Mysterious void from a clacitic lens in the schist. In 2010 an employee of MA Fish and Wildlife stumbled upon it while seaching for rare plants. The location is difficult to reach, so the reason the individuals carved thier names there is unknown.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234686
title: Esfera de Piedra Precolombina

description: Esfera Precolombina ubicada en el Aerop. Daniel Oduber de Liberia, Guanacaste. El escaneo es un ejemplo nocturno, fue realizado a las 10pm. En la foto podemos ver la Placa conmemorativa y la esfera en su ubicación actual.

Precolombian Rock Sphere, at Liberia Airport Daniel Oduber in Guanacaste. This is an example of a Night scan. In the photo we can see the conmemorative plaque and a photo of the sphere on site.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234689
title: Ancre du 17 éme siécle - Photogrammétrie

description: Photogrammétrie sur une ancre du 17 éme siècle à Rochefort, France.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234696
title: Door with Armenian Engraving in Forshtat, Baku

description: The entrance to a building in the Forshtat neighborhood of Baku, Azerbaijan with an engraving in Armenian above the doorway.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234690
title: Ancre du 17 éme siécle - Photogrammétrie

description: Photogrammétrie sur une ancre du 17 éme siècle à Rochefort, France.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234694
title: Cambodian Bhikshatana, 12th C CE

description: Small bronze Cambodian Bhikshatana, 12th C CE, now in the collection of the Minneapolis Institute of Art.

More information about the object here:

https://collections.artsmia.org/art/8318/bhikshatana-cambodia


From the object's description on artsmia.org :

*In one of his many forms, the Hindu god Shiva wanders through the forest disguised as an ascetic, wearing only a loincloth and holding a walking stick and rosary. This small icon probably was destined for a family altar, and demonstrates that both Hindu and Buddhist deities were worshipped in Cambodia, though Shiva's crown indicates the artist's incorporation of Khmer Buddhist iconography.*

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234695
title: Door with Armenian Engraving in Forshtat, Baku

description: The entrance to a building in the Forshtat neighborhood of Baku, Azerbaijan with an engraving in Armenian above the doorway.

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234697
title: House8

description: Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234701
title: KAJ14 Sherd 5

description: A krater sherd from Khirbat al-Jariya, Jordan

Source: Objaverse 1.0 / Sketchfab
DOI: 10.5281/zenodo.10234700
title: Wooden tankard - 16th century

description: This wooden tankard has been found in the Mary Rose shipwreck, that sank in 1545. The model is an improved low poly version of the [3D digitisation made available by MicroPasts](https://sketchfab.com/3d-models/mary-rose-a-wooden-tankard-8721cf07e6e04a578df9626e1eb54ce6) from the [Mary Rose museum](https://maryrose.org/3d-artefacts/). This model has an inside and the lid can be [animated](https://www.youtube.com/watch?v=t_zxw_LOKGE&t=79s).  It is one of the objects in a virtual reconstruction of a [17th century pub](https://sketchfab.com/3d-models/the-swan-inn-17th-century-731e5a85379a40f1b1797ac43640da2a).

Source: Objaverse 1.0 / Sketchfab