cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pkj9kv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-115.7173 34.20443, -115.7175 34.207, -115.7201 34.20681, -115.7201 34.20434, -115.7173 34.20443))",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002524-251120083545085/datasets/export for details.
DOI: 10.15468/dl.t5jpsf
title: Occurrence Download

description: A dataset containing 864 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-117.16658 16.52814,-87.68151 16.52814,-87.68151 32.50354,-117.16658 32.50354,-117.16658 16.52814))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crotalus basiliscus"
 ]
}

 The dataset includes 864 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002525-251120083545085/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/13819909
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17674395
title: Volcanic eruption volumes of all worldwide volcanoes
DOI: 10.5281/zenodo.17674394
title: Volcanic eruption volumes of all worldwide volcanoes
DOI: 10.5281/zenodo.13991894
title: Snow melt out day in the French Alps and Pyrenees from SPOT, Landsat and Sentinel-2 data

description: This is the accompagnying dataset of the manuscript "Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986-2023)" submitted to The Cryosphere by Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler [1].

The dataset contains the annual snow melt out day (SMOD) in the French Alps and Pyrenees at 20 m resolution. The SMOD were computed with the let-it-snow software v1.10 from a collection of snow cover products (SPOT 1, SPOT 2, SPOT 3, SPOT 4, SPOT 5, Landsat 5, Landsat 7, Landsat 8, Sentinel-2A and Sentinel-2B). The snow cover products were computed following references [2] (SPOT), [3] (Sentinel-2) and [4] (Landsat).

Each file is named according to the following convention:

SMOD_${TILE}_{START_DATE}_{END_DATE}.tif

where TILE is the Sentinel-2 tile and START_DATE and END_DATE define the period of calculation.

For example :

SMOD_31TGM_19930901_19940831.tif

References

[1] Barrou Dumont, Z., Gascoin, S., Inglada, J., Dietz, A., Köhler, J., Lafaysse, M., Monteiro, D., Carmagnola, C., Bayle, A., Dedieu, J.-P., Hagolle, O., and Choler, P.: Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3505, 2024.

[2] Barrou Dumont, Z., Gascoin, S., and Inglada, J. (2024) Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13, https://doi.org/10.1109/JSTARS.2024.3361838.

[3] Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O. (2019) Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493-514, https://doi:10.5194/essd-11-493-2019. 

[4] Koehler J, Dietz AJ, Zellner P, Baumhoer CA, Dirscherl M, Cattani L, Vlahović Ž, Alasawedah MH, Mayer K, Haslinger K, et al. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 2022; 14(23):6091. https://doi.org/10.3390/rs14236091
DOI: 10.5281/zenodo.13991895
title: Snow melt out day in the French Alps and Pyrenees from SPOT, Landsat and Sentinel-2 data

description: This is the accompagnying dataset of the manuscript "Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986-2023)" submitted to The Cryosphere by Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler.

The dataset contains the annual snow melt out day (SMOD) in the French Alps and Pyrenees at 20 m resolution. The SMOD were computed with the let-it-snow software v1.10 from a collection of snow cover products (SPOT 1, SPOT 2, SPOT 3, SPOT 4, SPOT 5, Landsat 5, Landsat 7, Landsat 8, Sentinel-2A and Sentinel-2B). The snow cover products were computed following references [1] (SPOT), [2] (Sentinel-2) and [3] (Landsat).

Each file is named according to the following convention:

SMOD_${TILE}_{START_DATE}_{END_DATE}.tif

where TILE is the Sentinel-2 tile and START_DATE and END_DATE define the period of calculation.

For example :

SMOD_31TGM_19930901_19940831.tif

References

[1] Barrou Dumont, Z., Gascoin, S., and Inglada, J. (2024) Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13, https://doi.org/10.1109/JSTARS.2024.3361838.

[2] Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O. (2019) Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493-514, https://doi:10.5194/essd-11-493-2019. 

[3] Koehler J, Dietz AJ, Zellner P, Baumhoer CA, Dirscherl M, Cattani L, Vlahović Ž, Alasawedah MH, Mayer K, Haslinger K, et al. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 2022; 14(23):6091. https://doi.org/10.3390/rs14236091
DOI: 10.5281/zenodo.15063934
title: Snow melt out day in the French Alps and Pyrenees from SPOT, Landsat and Sentinel-2 data

description: This is the accompagnying dataset of the manuscript "Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986-2023)" submitted to The Cryosphere by Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler [1].

The dataset contains the annual snow melt out day (SMOD) in the French Alps and Pyrenees at 20 m resolution. The SMOD were computed with the let-it-snow software v1.10 from a collection of snow cover products (SPOT 1, SPOT 2, SPOT 3, SPOT 4, SPOT 5, Landsat 5, Landsat 7, Landsat 8, Sentinel-2A and Sentinel-2B). The snow cover products were computed following references [2] (SPOT), [3] (Sentinel-2) and [4] (Landsat).

Each file is named according to the following convention:

SMOD_${TILE}_{START_DATE}_{END_DATE}.tif

where TILE is the Sentinel-2 tile and START_DATE and END_DATE define the period of calculation.

For example :

SMOD_31TGM_19930901_19940831.tif

References

[1] Barrou Dumont, Z., Gascoin, S., Inglada, J., Dietz, A., Köhler, J., Lafaysse, M., Monteiro, D., Carmagnola, C., Bayle, A., Dedieu, J.-P., Hagolle, O., and Choler, P.: Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3505, 2024.

[2] Barrou Dumont, Z., Gascoin, S., and Inglada, J. (2024) Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13, https://doi.org/10.1109/JSTARS.2024.3361838.

[3] Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O. (2019) Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493-514, https://doi:10.5194/essd-11-493-2019. 

[4] Koehler J, Dietz AJ, Zellner P, Baumhoer CA, Dirscherl M, Cattani L, Vlahović Ž, Alasawedah MH, Mayer K, Haslinger K, et al. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 2022; 14(23):6091. https://doi.org/10.3390/rs14236091
DOI: 10.5281/zenodo.15098635
title: Snow melt out day in the French Alps and Pyrenees from SPOT, Landsat and Sentinel-2 data

description: This is the accompagnying dataset of the manuscript "Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986-2023)" submitted to The Cryosphere by Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler [1].

The dataset contains the annual snow melt out day (SMOD) in the French Alps and Pyrenees at 20 m resolution. The SMOD were computed with the let-it-snow software v1.10 from a collection of snow cover products (SPOT 1, SPOT 2, SPOT 3, SPOT 4, SPOT 5, Landsat 5, Landsat 7, Landsat 8, Sentinel-2A and Sentinel-2B). The snow cover products were computed following references [2] (SPOT), [3] (Sentinel-2) and [4] (Landsat).

Each file is named according to the following convention:

SMOD_${TILE}_{START_DATE}_{END_DATE}.tif

where TILE is the Sentinel-2 tile and START_DATE and END_DATE define the period of calculation.

For example :

SMOD_31TGM_19930901_19940831.tif

References

[1] Barrou Dumont, Z., Gascoin, S., Inglada, J., Dietz, A., Köhler, J., Lafaysse, M., Monteiro, D., Carmagnola, C., Bayle, A., Dedieu, J.-P., Hagolle, O., and Choler, P.: Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3505, 2024.

[2] Barrou Dumont, Z., Gascoin, S., and Inglada, J. (2024) Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13, https://doi.org/10.1109/JSTARS.2024.3361838.

[3] Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O. (2019) Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493-514, https://doi:10.5194/essd-11-493-2019. 

[4] Koehler J, Dietz AJ, Zellner P, Baumhoer CA, Dirscherl M, Cattani L, Vlahović Ž, Alasawedah MH, Mayer K, Haslinger K, et al. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 2022; 14(23):6091. https://doi.org/10.3390/rs14236091
DOI: 10.5281/zenodo.15278242
title: Snow melt out day in the French Alps and Pyrenees from SPOT, Landsat and Sentinel-2 data

description: This is the accompagnying dataset of the manuscript "Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986-2023)" submitted to The Cryosphere by Zacharie Barrou Dumont, Simon Gascoin, Jordi Inglada, Andreas Dietz, Jonas Köhler, Matthieu Lafaysse, Diego Monteiro, Carlo Carmagnola, Arthur Bayle, Jean-Pierre Dedieu, Olivier Hagolle, and Philippe Choler [1].

The dataset contains the annual snow melt out day (SMOD) in the French Alps and Pyrenees at 20 m resolution. The SMOD were computed with the let-it-snow software v1.10 from a collection of snow cover products (SPOT 1, SPOT 2, SPOT 3, SPOT 4, SPOT 5, Landsat 5, Landsat 7, Landsat 8, Sentinel-2A and Sentinel-2B). The snow cover products were computed following references [2] (SPOT), [3] (Sentinel-2) and [4] (Landsat).

Each file is named according to the following convention:

SMOD_${TILE}_{START_DATE}_{END_DATE}.tif

where TILE is the Sentinel-2 tile and START_DATE and END_DATE define the period of calculation.

For example :

SMOD_31TGM_19930901_19940831.tif

References

[1] Barrou Dumont, Z., Gascoin, S., Inglada, J., Dietz, A., Köhler, J., Lafaysse, M., Monteiro, D., Carmagnola, C., Bayle, A., Dedieu, J.-P., Hagolle, O., and Choler, P.: Trends in the annual snow melt-out day over the French Alps and the Pyrenees from 38 years of high resolution satellite data (1986–2023), EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-3505, 2024.

[2] Barrou Dumont, Z., Gascoin, S., and Inglada, J. (2024) Snow and Cloud Classification in Historical SPOT Images: An Image Emulation Approach for Training a Deep Learning Model Without Reference Data, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1–13, https://doi.org/10.1109/JSTARS.2024.3361838.

[3] Gascoin, S., Grizonnet, M., Bouchet, M., Salgues, G., and Hagolle, O. (2019) Theia Snow collection: high-resolution operational snow cover maps from Sentinel-2 and Landsat-8 data, Earth Syst. Sci. Data, 11, 493-514, https://doi:10.5194/essd-11-493-2019. 

[4] Koehler J, Dietz AJ, Zellner P, Baumhoer CA, Dirscherl M, Cattani L, Vlahović Ž, Alasawedah MH, Mayer K, Haslinger K, et al. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022. Remote Sensing. 2022; 14(23):6091. https://doi.org/10.3390/rs14236091
DOI: 10.15468/dl.scggun
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphyrna gilberti Quattro, Driggers Iii, Grady, Ulrich & Roberts, 2013"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001021-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h5g8ye
title: Occurrence Download

description: A dataset containing 15309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senna siamea (Lam.) H.S.Irwin & Barneby)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15309 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009413-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110811646
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811632
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811520
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811744
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811839
title: Attic Red-Figure Plate with Kottabos Scene, BMC P.95

description: [Text Description:] Bryn Mawr Painter, Late Archaic-Early Classical ❧ [Text or Publication Number Note:] BMC P.95 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Plate ❧ [Physical Object Note:] 5 7/8 x 5 15/16 x 7/16 in. (14.9 x 15.1 x 1.1 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811860
title: Attic Red-Figure Hydria/Kalpis (Water Jar) with Nike, BMC P.103

description: [Text Description:] Attributed to the Shuvalov Painter, Classical ❧ [Text or Publication Number Note:] BMC P.103 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Hydria/Kalpis (Water Jar) ❧ [Physical Object Note:] 5 3/4 in. x 5 1/4 in. x 4 1/8 in. (14.61 cm x 13.34 cm x 10.48 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811852
title: Attic Red-Figure Hydria/Kalpis (Water Jar) with Nike, BMC P.103

description: [Text Description:] Attributed to the Shuvalov Painter, Classical ❧ [Text or Publication Number Note:] BMC P.103 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Hydria/Kalpis (Water Jar) ❧ [Physical Object Note:] 5 3/4 in. x 5 1/4 in. x 4 1/8 in. (14.61 cm x 13.34 cm x 10.48 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811831
title: Attic Red-Figure Plate with Kottabos Scene, BMC P.95

description: [Text Description:] Bryn Mawr Painter, Late Archaic-Early Classical ❧ [Text or Publication Number Note:] BMC P.95 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Plate ❧ [Physical Object Note:] 5 7/8 x 5 15/16 x 7/16 in. (14.9 x 15.1 x 1.1 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811623
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811627
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811662
title: Laconian Black-Figure Kylix (Drinking Cup) with Two Warriors, BMC P.81

description: [Text Description:] Hoplite Painter, Archaic ❧ [Text or Publication Number Note:] BMC P.81 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Kylix (Drinking Cup) ❧ [Physical Object Note:] 2 1/16 in. x 7 1/2 in. x 5 1/2 in. (5.3 cm x 19.05 cm x 13.97 cm) ❧ [Physical Object Note:] Kylikes
DOI: 10.25549/inscriptifact-ouc110811630
title: Italo-Corinthian Plate with Painted Boar and Stag, BMC P.45

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.45 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Plate ❧ [Physical Object Note:] 7/8 x 8 3/4 x 8 3/4 in. (2.3 x 22.3 x 22.2 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811661
title: Laconian Black-Figure Kylix (Drinking Cup) with Two Warriors, BMC P.81

description: [Text Description:] Hoplite Painter, Archaic ❧ [Text or Publication Number Note:] BMC P.81 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Kylix (Drinking Cup) ❧ [Physical Object Note:] 2 1/16 in. x 7 1/2 in. x 5 1/2 in. (5.3 cm x 19.05 cm x 13.97 cm) ❧ [Physical Object Note:] Kylikes
DOI: 10.25549/inscriptifact-ouc110811734
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811758
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811668
title: Laconian Black-Figure Kylix (Drinking Cup) with Two Warriors, BMC P.81

description: [Text Description:] Hoplite Painter, Archaic ❧ [Text or Publication Number Note:] BMC P.81 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Kylix (Drinking Cup) ❧ [Physical Object Note:] 2 1/16 in. x 7 1/2 in. x 5 1/2 in. (5.3 cm x 19.05 cm x 13.97 cm) ❧ [Physical Object Note:] Kylikes
DOI: 10.25549/inscriptifact-ouc110811470
title: Mirror, BMC M.114

description: [Text or Publication Number Note:] BMC M.114 ❧ [Medium:] Metal ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Bronze, Mirror ❧ [Physical Object Note:] 7 9/16 x 6 x 3/16 in. (19.2 x 15.2 x 0.5 cm)
DOI: 10.25549/inscriptifact-ouc110811715
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811828
title: Attic Red-Figure Plate with Kottabos Scene, BMC P.95

description: [Text Description:] Bryn Mawr Painter, Late Archaic-Early Classical ❧ [Text or Publication Number Note:] BMC P.95 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Plate ❧ [Physical Object Note:] 5 7/8 x 5 15/16 x 7/16 in. (14.9 x 15.1 x 1.1 cm) ❧ [Physical Object Note:] Plates
DOI: 10.25549/inscriptifact-ouc110811783
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae
DOI: 10.25549/inscriptifact-ouc110811713
title: Attic Black-Figure Hydria (Water Jar) with Mythological Scene, BMC P.87

description: [Text Description:] Archaic ❧ [Text or Publication Number Note:] BMC P.87 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Black-Figure Hydria (Water Jar) ❧ [Physical Object Note:] 13 x 8 3/4 x 11 1/2 in. (33 x 22.3 x 29.2 cm) ❧ [Physical Object Note:] Hydriae