cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/muemqr
title: Replication data for: The Limits and Consequences of Population Policy: Evidence from China's Wan Xi Shao Campaign

description: Replication data for Babiarz, Ma, Miller, Song, "The Limits and Consequences of Population Policy: Evidence from China's Wan Xi Shao Campaign"
description: Volume XX, Issue X
DOI: 10.15468/dl.qz36f4
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Mississippi Entomological Museum",
 "StateProvince is Alabama",
 "TaxonKey is one of (Bombus pensylvanicus, Bombus pennsilvanicus umbratus, Bombus impatiens, Bombus bimaculatus, Bombus griseocollis, Bombus fervidus, Bombus auricomus, Bombus fraternus, Bombus affinis, Bombus variabilis)"
 ]
}

 The dataset includes 578 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000239-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18316357
title: Sphaeralcea A.St.-Hil. 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 16:55
DOI: 10.5281/zenodo.18316356
title: Sphaeralcea A.St.-Hil. 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 16:55
DOI: 10.5281/zenodo.18314594
title: SuperDARN data in netCDF format (2001-Dec)

description: 2001-Dec SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6798273
title: SuperDARN data in netCDF format (2001-Dec)

description: 2001-Dec SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18317273
title: Spergula arvensis L. 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 16:55
DOI: 10.5281/zenodo.18317272
title: Spergula arvensis L. 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 16:55
DOI: 10.5066/p9sfzb4k
title: National Assessment of Oil and Gas Project - Illinois Basin Province (064) Total Petroleum Systems

description: The Total Petroleum System is used in the National Assessment Project and incorporates the Assessment Unit, which is the fundamental geologic unit used for the assessment of undiscovered oil and gas resources.  The Total Petroleum System is shown here as a geographic boundary defined and mapped by the geologist responsible for the province and incorporates not only the set of known or postulated oil and (or) gas accumulations, but also the geologic interpretation of the essential elements and processes within the petroleum system that relate to source, generation, migration, accumulation, and trapping of the discovered and undiscovered petroleum resource(s).
DOI: 10.5281/zenodo.18317279
title: Spermacoce L. 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 16:55
DOI: 10.5281/zenodo.18317280
title: Spermacoce L. 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 16:55
DOI: 10.5281/zenodo.18317290
title: Tillandsia virescens Ruiz & Pav. 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 16:55
DOI: 10.5281/zenodo.18317291
title: Tillandsia virescens Ruiz & Pav. 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 16:55
DOI: 10.15468/dl.xryuk8
title: Occurrence Download

description: A dataset listing the 42 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xerces Society - Bumble Bee Watch"
 ]
}

 The dataset's 42 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000207-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18216547
title: Shared signatures of adaptation and structural variation across a primate genus
DOI: 10.5281/zenodo.18216548
title: Shared signatures of adaptation and structural variation across a primate genus
DOI: 10.5281/zenodo.18317296
title: Torilis arvensis (Huds.) Link. 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 16:55
DOI: 10.5281/zenodo.18317297
title: Torilis arvensis (Huds.) Link. 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 16:55
DOI: 10.5281/zenodo.17875056
title: The Role of Digital Maturity in Achieving the Quality of E-Services: An Analytical Study at Al-Rafidain Bank – Fallujah Branch
DOI: 10.5281/zenodo.17875057
title: The Role of Digital Maturity in Achieving the Quality of E-Services: An Analytical Study at Al-Rafidain Bank – Fallujah Branch
DOI: 10.15468/dl.yqc96u
title: Occurrence Download

description: A dataset containing 56801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lynx lynx",
 "Year 2010-2026"
 ]
}

 The dataset includes 56801 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000168-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka7sbh
title: Occurrence Download

description: A dataset containing 5628 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Hawaii, United States (ver.2.0, 2022)"
 ]
}

 The dataset includes 5628 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000241-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317189
title: Atomic Quantum Structure from Emission Spectra Data

description: Datesets used in Recoverability of Atomic Quantum Structure from Emission Spectra in conjunction with scripts in 10.5281/zenodo.18317232.
DOI: 10.5281/zenodo.18317190
title: Atomic Quantum Structure from Emission Spectra Data

description: Datesets used in Recoverability of Atomic Quantum Structure from Emission Spectra in conjunction with scripts in 10.5281/zenodo.18317232.
DOI: 10.5281/zenodo.16414472
title: Rasterized Experimental Data: Vapor Advection Plumes for Open Research

description: Rasterized Experimental Data: Vapor Advection Plumes for Open Research (Rᴇᴅ:Vᴀᴘᴏʀ)

About this Dataset

This dataset contains timeseries and voxelmap reconstructions of the response of various gas sensors to a synthetic gas plume. This plume was systematically scanned in a dense 3D grid pattern, complemented by additional sampling trajectories. 

The dataset allows direct comparison between low-cost metal oxide semiconductor gas sensors (MiCS-5524, MiCS-6814) and advanced photoionization detectors (PID-AH2), examining both their static and dynamic responses to the plume. Additionally, the industrial-like model landscape utilized enables the evaluation of gas dispersion models in complex settings under controlled wind conditions. The data support the comparison and evaluation of novel sampling strategies for mobile robotic sensor systems for gas distribution mapping and source localization, providing more realistic experimental data compared to computational fluid dynamics simulations. Meeting the need for objective comparability of approaches in robotic gas sensing, this experimental dataset can serve as a standard corpus and benchmark.

The experiments have been conducted in March 2023 in the DNW Low-Speed Tunnel (DNW LST, Marknesse, NL).
DOI: 10.5281/zenodo.18299926
title: Rasterized Experimental Data: Vapor Advection Plumes for Open Research

description: Rasterized Experimental Data: Vapor Advection Plumes for Open Research (Rᴇᴅ:Vᴀᴘᴏʀ)

About this Dataset

This dataset contains timeseries and voxelmap reconstructions of the response of various gas sensors to a synthetic gas plume. This plume was systematically scanned in a dense 3D grid pattern, complemented by additional sampling trajectories. 

The dataset allows direct comparison between low-cost metal oxide semiconductor gas sensors (MiCS-5524, MiCS-6814) and advanced photoionization detectors (PID-AH2), examining both their static and dynamic responses to the plume. Additionally, the industrial-like model landscape utilized enables the evaluation of gas dispersion models in complex settings under controlled wind conditions. The data support the comparison and evaluation of novel sampling strategies for mobile robotic sensor systems for gas distribution mapping and source localization, providing more realistic experimental data compared to computational fluid dynamics simulations. Meeting the need for objective comparability of approaches in robotic gas sensing, this experimental dataset can serve as a standard corpus and benchmark.

The experiments have been conducted in March 2023 in the DNW Low-Speed Tunnel (DNW LST, Marknesse, NL).
DOI: 10.5281/zenodo.15643705
title: Replication Package for 'Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost'

description: Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost

Replication Package

This repository contains the code, datasets, and metadata required to reproduce the findings presented in the paper: "Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost", submitted to Sustainable Computing: Informatics and Systems (SUSCOM).

This framework leverages MLPerf™ Inference (v4.1 and v5.1) data to build a recommender system that identifies Pareto-optimal hardware configurations, balancing throughput, energy efficiency, and hardware cost.

📂 Repository Structure





code/





Dataset_Extension.ipynb: Step 1: Data harmonization & enrichment pipeline




Data_Analysis.ipynb: Step 2: EDA, correlation analysis, and sensitivity checks (RQ1)




Optimization_Model.ipynb: Step 3: Predictive modeling & Pareto optimization (RQ2)




paper_metrics.ipynb: Step 4: Reproduces exact abstract/results statistics






datasets/





Inference_data_v4.1.csv: Raw input data (v4.1)




Inference_data_v5.1.csv: Raw input data (v5.1)




Inference_data_Harmonized_Merged.csv: Final enriched dataset (Output of Step 1)






metadata/





accelerators.yaml: Specifications (TDP, Memory, Pricing) for GPUs/ASICs




cpus.yaml: Specifications for Host CPUs




models.yaml: Task domain mappings for MLPerf models






figures/: Generated plots (PDFs) from analysis scripts




logs/: Generated textual logs and trained models




requirements.txt: Python dependencies
DOI: 10.5281/zenodo.18315146
title: Replication Package for 'Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost'

description: Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost

Replication Package

This repository contains the code, datasets, and metadata required to reproduce the findings presented in the paper: "Data-Driven Multi-Objective Optimization of ML Inference Hardware Configurations for Energy, Performance and Cost", submitted to Sustainable Computing: Informatics and Systems (SUSCOM).

This framework leverages MLPerf™ Inference (v4.1 and v5.1) data to build a recommender system that identifies Pareto-optimal hardware configurations, balancing throughput, energy efficiency, and hardware cost.

📂 Repository Structure





code/





Dataset_Extension.ipynb: Step 1: Data harmonization & enrichment pipeline




Data_Analysis.ipynb: Step 2: EDA, correlation analysis, and sensitivity checks (RQ1)




Optimization_Model.ipynb: Step 3: Predictive modeling & Pareto optimization (RQ2)




paper_metrics.ipynb: Step 4: Reproduces exact abstract/results statistics






datasets/





Inference_data_v4.1.csv: Raw input data (v4.1)




Inference_data_v5.1.csv: Raw input data (v5.1)




Inference_data_Harmonized_Merged.csv: Final enriched dataset (Output of Step 1)






metadata/





accelerators.yaml: Specifications (TDP, Memory, Pricing) for GPUs/ASICs




cpus.yaml: Specifications for Host CPUs




models.yaml: Task domain mappings for MLPerf models






figures/: Generated plots (PDFs) from analysis scripts




logs/: Generated textual logs and trained models




requirements.txt: Python dependencies
DOI: 10.5281/zenodo.17989725
title: Régi Magyar Költők Tára XVII. század, 2.
title: Pécseli Király Imre, Miskolczi Csulyak István és Nyéki Vörös Mátyás versei
DOI: 10.5281/zenodo.17989726
title: Régi Magyar Költők Tára XVII. század, 2.
title: Pécseli Király Imre, Miskolczi Csulyak István és Nyéki Vörös Mátyás versei
DOI: 10.15468/dl.r8fz2e
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.627 -0.993817, 103.556726 -0.999383, 103.488182 -1.015945, 103.423055 -1.043094, 103.362947 -1.080163, 103.309338 -1.126238, 103.263549 -1.180186, 103.226705 -1.24068, 103.199716 -1.306229, 103.183245 -1.37522, 103.1777 -1.445955, 103.183218 -1.516692, 103.199664 -1.58569, 103.226633 -1.651249, 103.263464 -1.711754, 103.309249 -1.765716, 103.362862 -1.811805, 103.422983 -1.848886, 103.48813 -1.876045, 103.556699 -1.892613, 103.627 -1.898181, 103.697301 -1.892613, 103.76587 -1.876045, 103.831017 -1.848886, 103.891138 -1.811805, 103.944751 -1.765716, 103.990536 -1.711754, 104.027367 -1.651249, 104.054336 -1.58569, 104.070782 -1.516692, 104.0763 -1.445955, 104.070755 -1.37522, 104.054284 -1.306229, 104.027295 -1.24068, 103.990451 -1.180186, 103.944662 -1.126238, 103.891053 -1.080163, 103.830945 -1.043094, 103.765818 -1.015945, 103.697274 -0.999383, 103.627 -0.993817))"},{"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 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000244-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4xj7y
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambystoma leorae"
 ]
}

 The dataset includes 91 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000243-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6keynk
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mesobaena huebneri"
 ]
}

 The dataset includes 27 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000242-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juadtg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ephippiger cavannai"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000245-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgq8qh
title: Occurrence Download

description: A dataset containing 100555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Greece, Iran (Islamic Republic of), Russian Federation, Azerbaijan, Belarus, Ukraine, Armenia, Turkmenistan, Kazakhstan, Georgia, Libya, Israel, Lebanon, Iraq, Syrian Arab Republic, Palestine, State of, Jordan, Afghanistan, Saudi Arabia, Egypt, Tunisia, Algeria, Morocco, Albania, Kosovo, Serbia, Bosnia and Herzegovina, Slovenia, Croatia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fagaceae"
 ]
}

 The dataset includes 100555 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000183-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g8q5ue
title: Occurrence Download

description: A dataset containing 1138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepedon aenescens",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1138 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000247-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5v8xs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centrocercus minimus",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048969-250811113504898/datasets/export for details.
DOI: 10.15468/dl.c87nbh
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, India, Nepal, Myanmar, Pakistan, Bhutan, Afghanistan, Bangladesh)",
 "TaxonKey is Pelopidas sinensis"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048968-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.twb4wj
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Electrona risso (Cocco, 1829)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 975 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000977-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110813362
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters
DOI: 10.25549/inscriptifact-ouc110813320
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters
DOI: 10.25549/inscriptifact-ouc110813396
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters