100+ datasets found
  1. o

    Scenes partitioning and annotations of Super Mario Bros. levels.

    • explore.openaire.eu
    Updated Mar 24, 2025
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    Yann Harel; Hugo Delhaye; Basile Pinsard; Pierre Bellec (2025). Scenes partitioning and annotations of Super Mario Bros. levels. [Dataset]. http://doi.org/10.5281/zenodo.14847565
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    Dataset updated
    Mar 24, 2025
    Authors
    Yann Harel; Hugo Delhaye; Basile Pinsard; Pierre Bellec
    Description

    Resources used to split Super Mario Bros. levels into succcessive "scenes" Each level map was first obtained from NesMaps and added to the mario_scenes_manual_annotations.pdf file. Using the stable-retro GUI, we obtained the X positions corresponding to the start and end of each scene. Then for each scenes, we identified game design patterns as described in Dahlskog & Togelius, 2012. We aggregated all these informations in the scenes_mastersheet.tsv file. Note : Underwater and Castle levels were ignored in our analysis because they have a slightly different gameplay than the regular level, and make use of different game design patterns. Bonus zones and water sections are annotated as such, but their patterns weren't identified. The scenes mastersheet This TSV file contains informations related to all the scenes identified in Super Mario Bros. levels. It contains one row per scene, 3 columns to identify the scene, an Entry and Exit point columns, and one columns per pattern. These columns contain the following information : - World : The world ID, an integer between 1 and 8.- Level : The level ID, an integer between 1 and 3.- Scene : The scene ID, an integer.- Entry point : The X position corresponding to the beginning of the scene. An integer.- Exit point : The X position corresponding to the ending of the scene. An integer. Design patterns (from Dahlskog & Togelius 2012). The values can be 0 (absence of the corresponding pattern) or 1 (presence of the corresponding pattern) : - Enemy : A single enemy- 2-Horde : Two enemies together- 3-Horde : Three enemies together- 4-Horde : Four enemies together- Roof : Enemies underneath a hanging platform making Mario bounce in the ceiling- Gap : Single gap in the ground/platform- Multiple gaps : More than one gap with fixed platforms in between- Variable gaps : Gap and platform width is variable- Gap enemy : Enemies in the air above gaps- Pillar gap : Pillar (pipes or blocks) are placed on platforms between gaps- Valley : A valley created by using vertically stacked blocks or pipes but without Piranha plant(s)- Pipe valley : A valley with pipes and Piranha plant(s)- Empty valley : A valley without enemies- Enemy valley : A valley with enemies- Roof valley : A valley with enemies and a roof making Mario bounce in the ceiling- 2-Path : A hanging platform allowing Mario to choose different paths- 3-Path : 2 hanging platforms allowing Mario to choose different paths- Risk/Reward : A multiple path where one path have a reward and a gap or enemy making it risky to go for the reward- Stair up : A stair going up- Stair down : A stair going down- Empty stair valley : A valley between a stair up and a stair down without enemies- Enemy stair valley : A valley between a stair up and a stair down with enemies- Gap stair valley : A valley between a stair up and a stair down with gap in the middle We added several patterns in order to annotate key sections of the level : - Reward : Rewards without immediate danger- Moving platform : Platform moving vertically or horizontally- Flagpole : End of the level- Beginning : Beginning of the level- Bonus zone : Hidden zone without enemies- Waterworld : A special hidden zone with Waterworld gameplay

  2. Public Rights of Way

    • mario-lancashirecounty.hub.arcgis.com
    • mariotest-lancashirecc3.hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
    + more versions
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    Lancashire County Council (2024). Public Rights of Way [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/items/1f514b522aa94e3fac39a13d4a2d795c
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Councilhttp://www.lancashire.gov.uk/
    Area covered
    Description

    The public rights of way information shown on this system has been copied from the Definitive Map of Public Rights Of Way, the legal record of public rights of way - footpaths, bridleways and byways open to all traffic. The digitised rights of way information is updated regularly to record changes to the rights of way network. The map has been produced to assist you in your visits to the Countryside. It is not a legal record. Some public rights of way may exist which are not shown on the Definitive Map.

  3. Mario Company profile with phone,email, buyers, suppliers, price, export...

    • volza.com
    csv
    Updated Jun 30, 2025
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    Volza FZ LLC (2025). Mario Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/mario-33497228
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    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Mario contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  4. N

    aristocles's temporary collection: Mario

    • neurovault.org
    nifti
    Updated Jan 27, 2016
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    (2016). aristocles's temporary collection: Mario [Dataset]. http://identifiers.org/neurovault.image:8765
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    niftiAvailable download formats
    Dataset updated
    Jan 27, 2016
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    glassbrain

    Collection description

    None

    Subject species

    homo sapiens

    Modality

    fMRI-BOLD

    Cognitive paradigm (task)

    instrumental learning task

    Map type

    F

  5. Mario De La Guardia Company profile with phone,email, buyers, suppliers,...

    • volza.com
    csv
    Updated Jun 24, 2025
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    Volza FZ LLC (2025). Mario De La Guardia Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/mario-de-la-guardia-21338223/
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    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Mario De La Guardia contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  6. a

    Bus Stops

    • mario-lancashirecounty.hub.arcgis.com
    • mariotest-lancashirecc3.hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
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    Lancashire County Council (2024). Bus Stops [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/maps/lancashirecounty::bus-stops
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Council
    Area covered
    Description

    Location of bus stops. This data covers bus stops in Lancashire, Blackburn with Darwen, and Blackpool (including Blackpool tram stops).

  7. a

    Multiple Deprivation Index

    • mario-lancashirecounty.hub.arcgis.com
    • mariotest-lancashirecc3.hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
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    Lancashire County Council (2024). Multiple Deprivation Index [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/datasets/multiple-deprivation-index
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Council
    Area covered
    Description

    Census Lower Super Output Area boundaries as of 2011, with indices of multiple deprivation statistics (2019)

  8. Z

    Maps of solar wind plasma precipitation onto Mercury's surface: a...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 2, 2023
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    D'Amore, Mario (2023). Maps of solar wind plasma precipitation onto Mercury's surface: a geographical perspective [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7927372
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    Dataset updated
    Sep 2, 2023
    Dataset provided by
    Califano, Francesco
    Savin, Daniel
    D'Amore, Mario
    Domingue, Deborah
    Henri, Pierre
    Jensen, Elizabeth
    Lindsay, Simon
    Raines, Jim
    Lavorenti, Federico
    Aizawa, Sae
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data Archive to accompany: "Maps of solar wind plasma precipitation onto Mercury’s surface: a geographical perspective." Federico Lavorenti, Elizabeth A. Jensen, Sae Aizawa, Francesco Califano, Mario D’Amore, Deborah Domingue, Pierre Henri, Simon Lindsay, Jim M. Raines, and Daniel Wolf Savin. Submitted 2023 May to Planetary Science Journal.

    The files contained in this archive comprise the values shown in Figures 3 & 5.

  9. a

    Assault with Less Serious Injury

    • mario-lancashirecounty.hub.arcgis.com
    • mariotest-lancashirecc3.hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
    + more versions
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    Lancashire County Council (2024). Assault with Less Serious Injury [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/maps/lancashirecounty::assault-with-less-serious-injury
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Council
    Area covered
    Description

    Assault with Less Serious Injury offences for the period 01/06/2024 to 31/05/2025 by ward, shown as the rate per 1000 population.

  10. a

    Serious Violent Crime

    • mariotest-lancashirecc3.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
    + more versions
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    Lancashire County Council (2024). Serious Violent Crime [Dataset]. https://mariotest-lancashirecc3.hub.arcgis.com/datasets/lancashirecounty::serious-violent-crime
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Council
    Area covered
    Description

    Serious Violent Crime offences for the period 01/06/2024 to 31/05/2025 by ward, shown as rate per 1000 population

  11. a

    Hospitals

    • mario-lancashirecounty.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
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    Lancashire County Council (2024). Hospitals [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/datasets/hospitals
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Council
    Area covered
    Description

    Locations of hospitals in Lancashire.

  12. d

    Textural soil maps, Colombia, 0 - 100 cm

    • search.dataone.org
    • portal.edirepository.org
    Updated Sep 6, 2022
    + more versions
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    Viviana Marcela Varón-Ramírez; Gustavo A. Araujo-Carrillo; Mario Guevara (2022). Textural soil maps, Colombia, 0 - 100 cm [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fedi%2F972%2F3
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    Dataset updated
    Sep 6, 2022
    Dataset provided by
    Environmental Data Initiative
    Authors
    Viviana Marcela Varón-Ramírez; Gustavo A. Araujo-Carrillo; Mario Guevara
    Time period covered
    Feb 1, 1970 - Nov 30, 2009
    Area covered
    Variables measured
    No_layer, Name_layer, Description
    Description

    These are the first texture maps of Colombia, obtained from national and global digital soil mapping products. The maps were developed at five standard depths (0-5, 5-15, 15-30, 30-60, and 60-100 cm) and standardized with Additive log-ratio (ALR) transformation. The maps were harmonized at 1 square km of spatial resolution. The data packages include the following set maps: texture maps obtained through the Ensemble Machine Learning (EML) algorithms called landmap and MACHISPLIN; texture maps obtained from SoilGrids platform; residual maps of the texture of the algorithms referenced above; and finally texture maps obtained through spatial ensemble technique.

  13. Data from: Mapping Research Data at the University of Bologna: Dataset

    • zenodo.org
    • paperswithcode.com
    csv, pdf
    Updated Mar 26, 2025
    + more versions
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    Sara Coppini; Sara Coppini; Giulia Caldoni; Giulia Caldoni; Bianca Gualandi; Bianca Gualandi; Mario Marino; Mario Marino (2025). Mapping Research Data at the University of Bologna: Dataset [Dataset]. http://doi.org/10.5281/zenodo.14234555
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    csv, pdfAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Sara Coppini; Sara Coppini; Giulia Caldoni; Giulia Caldoni; Bianca Gualandi; Bianca Gualandi; Mario Marino; Mario Marino
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Dec 12, 2024
    Area covered
    Bologna
    Description

    This dataset was developed within an analysis of research data generated and managed within the University of Bologna, with respect to the differences and commonalities between disciplines and potential challenges for institutional data support services and infrastructures. We are primarily mapping the type (e.g., image), content (e.g., scan of a manuscript) and format (e.g., .tiff) of managed data, thus sustaining the value of FAIR data as granular resources.

    The analysis is based on data management plans (DMPs) produced by grantees of Horizon Europe and Horizon 2020 funding who are affiliated to the University of Bologna and are either project coordinators or partners in charge of the DMP. We are including in the study only the DMPs shared with us between May 2022 (when the data stewards team was created) and October 2023.
    In short, we have selected variables of interest to be headers of a table that is progressively filled with information garnered through a close reading of the DMPs.
    Computational analysis (R version 4.2.2) on the collected data produce graphs showing composition, relationship (bar graphs, pie charts and alluvial/sankey charts) and incidences (waterfall graph) of the different variables. Code for computational analysis on this data is "Mapping Reseach Data at the University of Bologna: Code" and it is also deposited on Zenodo (see Related Works).
  14. Mario Eimuth Company profile with phone,email, buyers, suppliers, price,...

    • volza.com
    csv
    Updated Jun 19, 2025
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    Volza FZ LLC (2025). Mario Eimuth Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/mario-eimuth-21943876
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    csvAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Mario Eimuth contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  15. z

    [[Deprecated]] DIGITAL SOIL TEXTURE MAPS OF ARGENTINA

    • zenodo.org
    • data.niaid.nih.gov
    tiff
    Updated Jul 17, 2024
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    Guillermo A. Schulz; Darío M. Rodríguez; Marcos E. Angelini; Marcos E. Angelini; Lucas M. Moretti; Guillermo F. Olmedo; Guillermo F. Olmedo; Leonardo M. Tenti Vuegen; Juan C. Colazo; Mario Guevara Santamaria; Guillermo A. Schulz; Darío M. Rodríguez; Lucas M. Moretti; Leonardo M. Tenti Vuegen; Juan C. Colazo; Mario Guevara Santamaria (2024). [[Deprecated]] DIGITAL SOIL TEXTURE MAPS OF ARGENTINA [Dataset]. http://doi.org/10.5281/zenodo.5851411
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    tiffAvailable download formats
    Dataset updated
    Jul 17, 2024
    Dataset provided by
    Springer
    Authors
    Guillermo A. Schulz; Darío M. Rodríguez; Marcos E. Angelini; Marcos E. Angelini; Lucas M. Moretti; Guillermo F. Olmedo; Guillermo F. Olmedo; Leonardo M. Tenti Vuegen; Juan C. Colazo; Mario Guevara Santamaria; Guillermo A. Schulz; Darío M. Rodríguez; Lucas M. Moretti; Leonardo M. Tenti Vuegen; Juan C. Colazo; Mario Guevara Santamaria
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    A new version has been uploaded by Guillermo Schulz.

  16. Dataset: Multi-level network dataset of social-ecological interdependencies...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, pdf, zip
    Updated Jul 16, 2024
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    Martin Nicola Huber; Martin Nicola Huber; Mario Angst; Mario Angst; Manuel Fischer; Manuel Fischer (2024). Dataset: Multi-level network dataset of social-ecological interdependencies in ten Swiss wetlands based on qualitative interviews and quantitative surveys [Dataset]. http://doi.org/10.5281/zenodo.6907175
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    zip, bin, csv, pdfAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Martin Nicola Huber; Martin Nicola Huber; Mario Angst; Mario Angst; Manuel Fischer; Manuel Fischer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Switzerland
    Description

    The dataset originated from quantitative online surveys and qualitative expert interviews with organizational actors relevant to the governance of ten Swiss wetlands from 2019 till 2021. Multi-level networks represent the wetlands governance for each of the ten cases. The collaboration networks of actors form the first level of the multi-level networks and are connected to multiple other network levels that account for the social and ecological systems those actors are active in. 521 actors relevant to the management of the ten wetlands are included in the collaboration networks; quantitative survey data exists for 71% of them. A unique feature of the collaboration networks is that it differentiates between positive and negative forms of collaboration specified based on actors' activity areas. Therefore, the data describes not only if actors collaborate but also how and where actors collaborate. Further additional two-mode networks (actor participation in forums and involvement in other regions outside the case area) are elicited in the survey and connected to the collaboration network. Finally, the dataset also contains data on ecological system interdependencies in the form of conceptual maps derived from 34 expert interviews (3-4 experts per case).

  17. Road Works

    • mario-lancashirecounty.hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Feb 27, 2024
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    Lancashire County Council (2024). Road Works [Dataset]. https://mario-lancashirecounty.hub.arcgis.com/datasets/road-works
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Councilhttp://www.lancashire.gov.uk/
    Area covered
    Description

    Road works, both in progress and planned, in Lancashire.

  18. Mario Jpireslda Company profile with phone,email, buyers, suppliers, price,...

    • volza.com
    csv
    Updated Jan 7, 2025
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    Volza FZ LLC (2025). Mario Jpireslda Company profile with phone,email, buyers, suppliers, price, export import shipments. [Dataset]. https://www.volza.com/company-profile/mario-jpireslda-19026550
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2014 - Sep 30, 2021
    Variables measured
    Count of exporters, Count of importers, Sum of export value, Sum of import value, Count of export shipments, Count of import shipments
    Description

    Credit report of Mario Jpireslda contains unique and detailed export import market intelligence with it's phone, email, Linkedin and details of each import and export shipment like product, quantity, price, buyer, supplier names, country and date of shipment.

  19. Soil moisture and GPP trends across the Avocado "Green Gold" Belt in central...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated May 13, 2023
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    Aylin Barreras; Aylin Barreras; Mario Guevara; Sebastián Gutiérrez; Mario Guevara; Sebastián Gutiérrez (2023). Soil moisture and GPP trends across the Avocado "Green Gold" Belt in central Mexico (2001-2018) [Dataset]. http://doi.org/10.5281/zenodo.7926166
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    zipAvailable download formats
    Dataset updated
    May 13, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Aylin Barreras; Aylin Barreras; Mario Guevara; Sebastián Gutiérrez; Mario Guevara; Sebastián Gutiérrez
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data processing in RStudio for soil moisture and Gross Primary Productivity trends across the Avocado “Green Gold” Belt in central Mexico (2001-2018).

  20. Schools Geographical Priority Areas

    • mariotest-lancashirecc3.hub.arcgis.com
    • mario-lancashirecounty.hub.arcgis.com
    • +1more
    Updated Feb 27, 2024
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    Lancashire County Council (2024). Schools Geographical Priority Areas [Dataset]. https://mariotest-lancashirecc3.hub.arcgis.com/datasets/lancashirecounty::schools-geographical-priority-areas
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    Dataset updated
    Feb 27, 2024
    Dataset authored and provided by
    Lancashire County Councilhttp://www.lancashire.gov.uk/
    Area covered
    Description

    Geographical Priority Areas (GPAs) for Primary and Secondary Schools where their admissions policy includes priority areas.

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Yann Harel; Hugo Delhaye; Basile Pinsard; Pierre Bellec (2025). Scenes partitioning and annotations of Super Mario Bros. levels. [Dataset]. http://doi.org/10.5281/zenodo.14847565

Scenes partitioning and annotations of Super Mario Bros. levels.

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22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 24, 2025
Authors
Yann Harel; Hugo Delhaye; Basile Pinsard; Pierre Bellec
Description

Resources used to split Super Mario Bros. levels into succcessive "scenes" Each level map was first obtained from NesMaps and added to the mario_scenes_manual_annotations.pdf file. Using the stable-retro GUI, we obtained the X positions corresponding to the start and end of each scene. Then for each scenes, we identified game design patterns as described in Dahlskog & Togelius, 2012. We aggregated all these informations in the scenes_mastersheet.tsv file. Note : Underwater and Castle levels were ignored in our analysis because they have a slightly different gameplay than the regular level, and make use of different game design patterns. Bonus zones and water sections are annotated as such, but their patterns weren't identified. The scenes mastersheet This TSV file contains informations related to all the scenes identified in Super Mario Bros. levels. It contains one row per scene, 3 columns to identify the scene, an Entry and Exit point columns, and one columns per pattern. These columns contain the following information : - World : The world ID, an integer between 1 and 8.- Level : The level ID, an integer between 1 and 3.- Scene : The scene ID, an integer.- Entry point : The X position corresponding to the beginning of the scene. An integer.- Exit point : The X position corresponding to the ending of the scene. An integer. Design patterns (from Dahlskog & Togelius 2012). The values can be 0 (absence of the corresponding pattern) or 1 (presence of the corresponding pattern) : - Enemy : A single enemy- 2-Horde : Two enemies together- 3-Horde : Three enemies together- 4-Horde : Four enemies together- Roof : Enemies underneath a hanging platform making Mario bounce in the ceiling- Gap : Single gap in the ground/platform- Multiple gaps : More than one gap with fixed platforms in between- Variable gaps : Gap and platform width is variable- Gap enemy : Enemies in the air above gaps- Pillar gap : Pillar (pipes or blocks) are placed on platforms between gaps- Valley : A valley created by using vertically stacked blocks or pipes but without Piranha plant(s)- Pipe valley : A valley with pipes and Piranha plant(s)- Empty valley : A valley without enemies- Enemy valley : A valley with enemies- Roof valley : A valley with enemies and a roof making Mario bounce in the ceiling- 2-Path : A hanging platform allowing Mario to choose different paths- 3-Path : 2 hanging platforms allowing Mario to choose different paths- Risk/Reward : A multiple path where one path have a reward and a gap or enemy making it risky to go for the reward- Stair up : A stair going up- Stair down : A stair going down- Empty stair valley : A valley between a stair up and a stair down without enemies- Enemy stair valley : A valley between a stair up and a stair down with enemies- Gap stair valley : A valley between a stair up and a stair down with gap in the middle We added several patterns in order to annotate key sections of the level : - Reward : Rewards without immediate danger- Moving platform : Platform moving vertically or horizontally- Flagpole : End of the level- Beginning : Beginning of the level- Bonus zone : Hidden zone without enemies- Waterworld : A special hidden zone with Waterworld gameplay

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