cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_4591138
title: Scéal

description: Story collected by Séamus Ó Caomhanaigh, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant an unidentified informant.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591142
title: Scéal

description: Story collected by Séamus Ó Caomhánaigh, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant an unidentified informant.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591143
title: Scéal

description: Story collected by Séamus Ó Caomhánaigh, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant an unidentified informant.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591145
title: Scéal

description: Story collected by Séamus Ó Caomhánaigh, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant an unidentified informant.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591146
title: Scéal

description: Story collected by Micheál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ní Ghiollachomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591147
title: Scéal

description: Story collected by Miceal Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ni Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591148
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591149
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Maire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591150
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Maire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591151
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591153
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591154
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Máire Ní Giollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591157
title: Historic Places Christian Times

description: Story collected by W. F. Savage, a student at Gort an Iomaire school (Gortanummera, Co. Galway) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Liam Sabhaois.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.5281/zenodo.10246797
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., name, description, color, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability.


Landing Page: https://green-db.calgo-lab.de
Source Code: https://github.com/calgo-lab/green-db 


Further Notes


For usability, we export two datatypes:



	
CSV
	
Parquet (using pyarrow python package)



Be careful with the columns' data types when using the CSV files! Use for example:


from ast import literal_eval
from datetime import datetime

import pandas as pd

products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes()
sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()
DOI: 10.5281/zenodo.7568712
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Landing Page: https://green-db.calgo-lab.de<br> Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908.", "Flick, A., J\u00e4ger, S., Garcia, J.A., Driesch, K.V., Brendel, K., & Biessmann, F. (2022). GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. ArXiv, abs/2207.10733."]}
DOI: 10.7925/drs1.duchas_4591159
title: Family Names - Present

description: Story collected by W. F. Savage, a student at Gort an Iomaire school (Gortanummera, Co. Galway) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Liam Sabhaois.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591160
title: Scéal

description: Story collected by Miceál Mac Giollacomáin, a student at Béal Átha Gearr school (Ballygar, Co. Galway) from informant Maire Ní Ghiollacomáin.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Labhrás Ó Síoráin.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.5281/zenodo.6078039
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
DOI: 10.5281/zenodo.6576662
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908."]}
DOI: 10.5281/zenodo.7884192
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Landing Page: https://green-db.calgo-lab.de<br> Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908.", "Flick, A., J\u00e4ger, S., Garcia, J.A., Driesch, K.V., Brendel, K., & Biessmann, F. (2022). GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. ArXiv, abs/2207.10733."]}
DOI: 10.5281/zenodo.8104552
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Landing Page: https://green-db.calgo-lab.de<br> Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908.", "Flick, A., J\u00e4ger, S., Garcia, J.A., Driesch, K.V., Brendel, K., & Biessmann, F. (2022). GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. ArXiv, abs/2207.10733."]}
DOI: 10.5281/zenodo.8399421
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Landing Page: https://green-db.calgo-lab.de<br> Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908.", "Flick, A., J\u00e4ger, S., Garcia, J.A., Driesch, K.V., Brendel, K., & Biessmann, F. (2022). GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. ArXiv, abs/2207.10733."]}
DOI: 10.7925/drs1.duchas_4591161
title: Industries

description: Story collected by W. F. Savage, a student at Gort an Iomaire school (Gortanummera, Co. Galway) from 2 informants.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Liam Sabhaois.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4591162
title: Industries

description: Story collected by W. F. Savage, a student at Gort an Iomaire school (Gortanummera, Co. Galway) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Liam Sabhaois.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.5281/zenodo.10064292
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., name, description, color, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability.


Landing Page: https://green-db.calgo-lab.de
Source Code: https://github.com/calgo-lab/green-db 


Further Notes


For usability, we export two datatypes:



	
CSV
	
Parquet (using pyarrow python package)



Be careful with the columns' data types when using the CSV files! Use for example:


from ast import literal_eval
from datetime import datetime

import pandas as pd

products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes()
sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()
DOI: 10.5281/zenodo.7225336
title: GreenDB: A Product-by-Product Sustainability Database

description: The publicly available open GreenDB is a product-by-product sustainability database. It contains product attributes, e.g., <code>name</code>, <code>description</code>, <code>color</code>, etc. and, on the other hand, information about the products' sustainability. Moreover, the sustainability information is transparently evaluated so that it is possible to rank products depending on their sustainability. Source Code: https://github.com/calgo-lab/green-db <strong>Further Notes</strong> For usability, we export two datatypes: CSV Parquet (using <code>pyarrow</code> python package) Be careful with the columns' data types when using the CSV files! Use for example: <pre><code class="language-python">from ast import literal_eval from datetime import datetime import pandas as pd products = pd.read_csv("products.csv", converters={"timestamp": datetime.fromisoformat, "image_urls": literal_eval, "sustainability_labels": literal_eval}).convert_dtypes() sustainability_labels = pd.read_csv("sustainability_labels.csv", converters={"timestamp": datetime.fromisoformat}).convert_dtypes()</code></pre>
description: Supported by the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety based on a decision of the German Bundestag. Förderkennzeichen: 67KI2022B
description: {"references": ["J\u00e4ger, S., Greene, J., Jakob, M., Korenke, R., Santarius, T., & Biessmann, F. (2022). GreenDB: Toward a Product-by-Product Sustainability Database. ArXiv, abs/2205.02908."]}