cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18231599
title: Data of manuscript "Effect of cation's alkyl chain length of imidazolium-driven PVDF-based supported ionic liquid membranes on the CO2 separation performance from biogas and flue gas."

description: Data of manuscript

 



Title: Effect of cation’s alkyl chain length of imidazolium-driven PVDF-based supported ionic liquid membranes on the CO2 separation performance from biogas and flue gas 




Authors: Marco-Velasco G, Martínez-Soria V, Izquierdo M, Chafer A, Badia-Valiente JD

Journal: Carbon Capture and Technology, Elsevier (2026)




Affiliations:

Research Group in Materials Technology and Sustainability (MATS), Department of Chemical Engineering, School of Engineering, University of Valencia, Avda. Universitat s/n, 46100 Burjassot, Spain. 




* Correspondence: jose.badia@uv.es (J.D.B-V.)


Funding: This research was supported by project PID2021-1224950A-I00 and TED2021-131276A-I00, funded by Ministerio de Ciencia, Innovación y Universidades (MCIU, Spain) (MCIN/AEI/10.13039/501100011033) and by European Union NextGenerationEU/PRTR and ERDF/EU. The PhD grant of G. Marco-Velasco was also funded by MCIU (FPU23/02636).
DOI: 10.5281/zenodo.18312485
title: Simaroubaceae DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18312486
title: Simaroubaceae DC. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.hrqqe6
title: Occurrence Download

description: A dataset containing 52892 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "GadmGid is CHN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 52892 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002682-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312148
title: Replication Package for 'Understanding Open-Source AI Adoption: What Practitioners Discuss, Where Support Breaks Down, and Why Deployment Fails'

description: Replication Package: The Friction of Open-Source AI Adoption

Submission ID: 6916

Overview

This package contains the complete dataset and analytical pipeline used to examine 24,000 discussion threads from the Hugging Face ecosystem (2020–2025). The study identifies a "Semantic Drift" from theoretical inquiry to infrastructure engineering and documents a "Compute Divide" where hardware constraints act as a primary barrier to model adoption.

Repository Structure





code/: Contains the Jupyter notebooks required to replicate each phase of the study.





HFForumExtraction.ipynb: The asynchronous scraper used for initial data acquisition.




Validation.ipynb: Scripts for calculating Inter-Rater Reliability (IRR) between human annotators and the LLM agent.




Analysis_RQ1.ipynb: Quantitative tracking of semantic shifts over time.




Analysis_RQ2.ipynb: Analysis of the "Support Gap" and topic resolution rates.




Analysis_RQ3.ipynb: LLM-augmented root cause analysis and statistical modeling of adoption friction.






hf_forum_data/: The primary datasets.





hf_forum_dataset.parquet: The "Gold Master" corpus of ~24k threads.




hf_forum_autopsy_ultimate.parquet: The subset of 3,500 unsolved threads annotated for root cause analysis.





Quick Start





Environment: Ensure Python 3.9+ is installed.




Dependencies: Install required libraries: pandas, numpy, matplotlib, seaborn, scikit-learn, scipy, statsmodels, aiohttp, google-generativeai, and pyarrow.




Execution: The notebooks are designed to be run sequentially. While the raw data is provided, Analysis_RQ3.ipynb includes the LLM annotation logic which requires a Google Gemini API key to run from scratch. However, the provided autopsy dataset allows for full replication of the statistical results without further API costs.



📜 License

All code is provided under the MIT License. The dataset is intended for academic research purposes.
DOI: 10.5281/zenodo.18312149
title: Replication Package for 'Understanding Open-Source AI Adoption: What Practitioners Discuss, Where Support Breaks Down, and Why Deployment Fails'

description: Replication Package: The Friction of Open-Source AI Adoption

Submission ID: 6916

Overview

This package contains the complete dataset and analytical pipeline used to examine 24,000 discussion threads from the Hugging Face ecosystem (2020–2025). The study identifies a "Semantic Drift" from theoretical inquiry to infrastructure engineering and documents a "Compute Divide" where hardware constraints act as a primary barrier to model adoption.

Repository Structure





code/: Contains the Jupyter notebooks required to replicate each phase of the study.





HFForumExtraction.ipynb: The asynchronous scraper used for initial data acquisition.




Validation.ipynb: Scripts for calculating Inter-Rater Reliability (IRR) between human annotators and the LLM agent.




Analysis_RQ1.ipynb: Quantitative tracking of semantic shifts over time.




Analysis_RQ2.ipynb: Analysis of the "Support Gap" and topic resolution rates.




Analysis_RQ3.ipynb: LLM-augmented root cause analysis and statistical modeling of adoption friction.






hf_forum_data/: The primary datasets.





hf_forum_dataset.parquet: The "Gold Master" corpus of ~24k threads.




hf_forum_autopsy_ultimate.parquet: The subset of 3,500 unsolved threads annotated for root cause analysis.





Quick Start





Environment: Ensure Python 3.9+ is installed.




Dependencies: Install required libraries: pandas, numpy, matplotlib, seaborn, scikit-learn, scipy, statsmodels, aiohttp, google-generativeai, and pyarrow.




Execution: The notebooks are designed to be run sequentially. While the raw data is provided, Analysis_RQ3.ipynb includes the LLM annotation logic which requires a Google Gemini API key to run from scratch. However, the provided autopsy dataset allows for full replication of the statistical results without further API costs.



📜 License

All code is provided under the MIT License. The dataset is intended for academic research purposes.
DOI: 10.15468/dl.8akcqg
title: Occurrence Download

description: A dataset containing 85 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acaena tenera"
 ]
}

 The dataset includes 85 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duazfg
title: Occurrence Download

description: A dataset containing 3698 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((104.03 2.11818, 103.95969 2.112611, 103.891112 2.096043, 103.825956 2.068884, 103.765829 2.031802, 103.71221 1.985712, 103.66642 1.931749, 103.629586 1.871243, 103.602615 1.805684, 103.58617 1.736686, 103.580654 1.665948, 103.586201 1.595214, 103.602676 1.526223, 103.629669 1.460675, 103.666517 1.400182, 103.712312 1.346235, 103.765926 1.300161, 103.826039 1.263093, 103.891172 1.235945, 103.959721 1.219384, 104.03 1.213818, 104.100279 1.219384, 104.168828 1.235945, 104.233961 1.263093, 104.294074 1.300161, 104.347688 1.346235, 104.393483 1.400182, 104.430331 1.460675, 104.457324 1.526223, 104.473799 1.595214, 104.479346 1.665948, 104.47383 1.736686, 104.457385 1.805684, 104.430414 1.871243, 104.39358 1.931749, 104.34779 1.985712, 104.294171 2.031802, 104.234044 2.068884, 104.168888 2.096043, 104.10031 2.112611, 104.03 2.11818))"},{"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 3698 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312498
title: Sinningia allagophylla (Mart.) Wiehler. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18312499
title: Sinningia allagophylla (Mart.) Wiehler. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.15468/dl.6c2jr5
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia hirsuta, Vicia hirsuta, Vicia hirsuta, Ervilia hirsuta)",
 "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 354 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002716-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18312507
title: Sinningia Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18312506
title: Sinningia Nees. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:54
DOI: 10.5281/zenodo.18312475
title: Enzymatic DNA synthesis
DOI: 10.5281/zenodo.18312476
title: Enzymatic DNA synthesis
DOI: 10.15468/dl.k24z9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((110.356 -1.265818, 110.28572 -1.271384, 110.217169 -1.287945, 110.152035 -1.315093, 110.091921 -1.35216, 110.038305 -1.398235, 109.992509 -1.452182, 109.95566 -1.512674, 109.928665 -1.578222, 109.91219 -1.647212, 109.906642 -1.717947, 109.912158 -1.788684, 109.928603 -1.857682, 109.955574 -1.923242, 109.992409 -1.983748, 110.0382 -2.037711, 110.09182 -2.083801, 110.15195 -2.120883, 110.217107 -2.148043, 110.285687 -2.164611, 110.356 -2.170179, 110.426313 -2.164611, 110.494893 -2.148043, 110.56005 -2.120883, 110.62018 -2.083801, 110.6738 -2.037711, 110.719591 -1.983748, 110.756426 -1.923242, 110.783397 -1.857682, 110.799842 -1.788684, 110.805358 -1.717947, 110.79981 -1.647212, 110.783335 -1.578222, 110.75634 -1.512674, 110.719491 -1.452182, 110.673695 -1.398235, 110.620079 -1.35216, 110.559965 -1.315093, 110.494831 -1.287945, 110.42628 -1.271384, 110.356 -1.265818))"},{"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/0002717-260119153935675/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14558842
title: Financial Risk Classification
DOI: 10.34740/kaggle/dsv/14558915
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.34810/data2917
title: Meteorological data, OpenFOAM files and processed data of: observational and numerical study of the combined effect of slope winds and sea breezes in the North-East coast of Spain

description: The dataset contains meteorological data, OpenFOAM files, and processed data from the paper titled “Observational and numerical study of the combined effect of slope winds and sea breezes on the North-East coast of Spain.”
The dataset includes: (1) the “Numerical simulations” folder (divided into three parts), (2) observational data (wind speed and temperature) collected at a meteorological station during the study period (from 01/Mar/2023 to 29/Feb/2024), and (3) one video corresponding to the simulated base case.
The “Numerical simulations” folder contains all the numerical cases presented in the paper. It is organized into several subfolders that follow the structure of the paper: “MeshValidation”, “TimeStepValidation”, “DomainHeightStudy”, “MountainBaseLengthStudy”, and “SlopeStudy”.
Each case includes the required “0”, “system”, and “constant” directories to run the simulations in OpenFOAM. In addition, for each case we provide .txt files with post-processed data computed at 2 km from the sea (“data_at2km_fromSea”) and, when applicable, also at 2 km upslope ("data_at2km_upslope") from the mountain foot (projected distance).
description: Other funding agency:&gt;

Funding agency: RES, BSC in MareNostrum5<br>
Project number: IM-2025-1-0008


Funding agency: RES, BSC in MareNostrum5<br>
Project number: IM-2025-2-0012


Funding agency: RES, BSC in MareNostrum5<br>
Project number: IM-2025-3-0014
DOI: 10.15468/dl.yxkwp4
title: Occurrence Download

description: A dataset containing 16927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aedes albopictus, Aedes aegypti)",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16927 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002718-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2qhh4
title: Occurrence Download

description: A dataset containing 4020 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.859 2.14618, 103.788688 2.140611, 103.720109 2.124043, 103.654953 2.096883, 103.594824 2.059802, 103.541204 2.013712, 103.495414 1.959749, 103.45858 1.899242, 103.431609 1.833683, 103.415163 1.764685, 103.409647 1.693948, 103.415195 1.623213, 103.43167 1.554222, 103.458664 1.488674, 103.495513 1.428182, 103.541308 1.374235, 103.594923 1.328161, 103.655037 1.291093, 103.72017 1.263945, 103.78872 1.247384, 103.859 1.241818, 103.92928 1.247384, 103.99783 1.263945, 104.062963 1.291093, 104.123077 1.328161, 104.176692 1.374235, 104.222487 1.428182, 104.259336 1.488674, 104.28633 1.554222, 104.302805 1.623213, 104.308353 1.693948, 104.302837 1.764685, 104.286391 1.833683, 104.25942 1.899242, 104.222586 1.959749, 104.176796 2.013712, 104.123176 2.059802, 104.063047 2.096883, 103.997891 2.124043, 103.929312 2.140611, 103.859 2.14618))"},{"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 4020 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002719-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.456547
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vicia lathyroides, Vicia lathyroides)",
 "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 90 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002720-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18268765
title: PigReID: A benchmark dataset for pig reidentification in images: Part 2

description: The PigReID dataset was designed to support the benchmarking of individual pig recognition algorithms across different temporal points, as introduced in the "A Large-Scale Longitudinal Dataset for Pig Tracking and Re-Identification" article. The dataset focuses on the challenge of identifying the same individual pig across various days and developmental stages.

As part of this dataset, 58 unique individuals were randomly selected from the longitudinal study. For each selected pig, 250 images were randomly sampled for each imaging day in which the animal was present. To standardise the input and ensure only a single animal is present per image for re-identification models, each pig was cropped from the original high-resolution frames and scaled to fit within a 1,024 x 1,024 frame with black background. This centering and scaling process maintains the original aspect ratio of the animal while providing a consistent input size for deep learning architectures.

The resulting dataset contains an average of 2538 ± 1559 images per identity. The data is organised into directories named by the pig's group number and Electronic Identification (EID) assigned to the animal. Each image is provided in .png format, with the filename containing the camera metadata, date, time, and frame index to facilitate temporal tracking and cross-day validation.

The dataset has been split into groups for easier navigation and better size management. The first part of the dataset available at: https://zenodo.org/records/18224572
DOI: 10.5281/zenodo.18268766
title: PigReID: A benchmark dataset for pig reidentification in images: Part 2

description: The PigReID dataset was designed to support the benchmarking of individual pig recognition algorithms across different temporal points, as introduced in the "A Large-Scale Longitudinal Dataset for Pig Tracking and Re-Identification" article. The dataset focuses on the challenge of identifying the same individual pig across various days and developmental stages.

As part of this dataset, 58 unique individuals were randomly selected from the longitudinal study. For each selected pig, 250 images were randomly sampled for each imaging day in which the animal was present. To standardise the input and ensure only a single animal is present per image for re-identification models, each pig was cropped from the original high-resolution frames and scaled to fit within a 1,024 x 1,024 frame with black background. This centering and scaling process maintains the original aspect ratio of the animal while providing a consistent input size for deep learning architectures.

The resulting dataset contains an average of 2538 ± 1559 images per identity. The data is organised into directories named by the pig's group number and Electronic Identification (EID) assigned to the animal. Each image is provided in .png format, with the filename containing the camera metadata, date, time, and frame index to facilitate temporal tracking and cross-day validation.

The dataset has been split into groups for easier navigation and better size management. The first part of the dataset available at: https://zenodo.org/records/18224572
DOI: 10.57841/casdc.0006980
title: 铁基超导线材性能调控实验数据
DOI: 10.15468/dl.cxnjn2
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mytella strigata"
 ]
}

 The dataset includes 1008 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002721-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.72pxc3
title: Occurrence Download

description: A dataset containing 449282 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nardus stricta"
 ]
}

 The dataset includes 449282 records from 1092 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002617-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4wutf
title: Occurrence Download

description: A dataset containing 6432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-80.2902 44.33361,-80.36898 42.77312,-74.82798 42.36699,-74.64415 45.24679,-80.2902 44.33361))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Salvelinus namaycush (Walbaum, 1792)"
 ]
}

 The dataset includes 6432 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011684-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsm5jr
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Russian Federation)",
 "TaxonKey is Coccothraustes coccothraustes japonicus Temminck & Schlegel, 1848"
 ]
}

 The dataset includes 97 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000966-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110813750
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110813579
title: Neo-Assyrian Stamp Seal with Multi-figured Scene, BMC S.114

description: [Text Description:] Neo-Assyrian ❧ [Text or Publication Number Note:] BMC S.114 ❧ [Medium:] Stone ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Stone Stamp Seal ❧ [Physical Object Note:] 1 x 23/32 x 3/4 in. (2.5 x 1.8 x 1.9 cm)