100+ datasets found
  1. d

    TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin,...

    • catalog.data.gov
    • data.usgs.gov
    • +2more
    Updated Nov 27, 2025
    + more versions
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    U.S. Geological Survey (2025). TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado [Dataset]. https://catalog.data.gov/dataset/tin-dataset-model-of-overburden-above-the-mahogany-bed-in-the-uinta-basin-utah-and-colorad
    Explore at:
    Dataset updated
    Nov 27, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Utah, Uinta Basin, Colorado
    Description

    An ESRI TIN data model of the overburden material above the Mahogany bed was needed to perform calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment.

  2. R

    Tin Dataset

    • universe.roboflow.com
    zip
    Updated Jan 12, 2025
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    TIN (2025). Tin Dataset [Dataset]. https://universe.roboflow.com/tin-gfhld/tin-xxlcd/model/6
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jan 12, 2025
    Dataset authored and provided by
    TIN
    License

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

    Variables measured
    Car Person Licenseplate Bounding Boxes
    Description

    TIN

    ## Overview
    
    TIN is a dataset for object detection tasks - it contains Car Person Licenseplate annotations for 1,800 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  3. d

    TIN Dataset Model of the Mahogany Zone Structure in the Piceance Basin,...

    • datasets.ai
    • data.usgs.gov
    • +3more
    55
    Updated May 31, 2023
    + more versions
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    Department of the Interior (2023). TIN Dataset Model of the Mahogany Zone Structure in the Piceance Basin, Colorado [Dataset]. https://datasets.ai/datasets/tin-dataset-model-of-the-mahogany-zone-structure-in-the-piceance-basin-colorado
    Explore at:
    55Available download formats
    Dataset updated
    May 31, 2023
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Colorado
    Description

    An ESRI TIN data model of the Mahogany Zone structure was needed to perform overburden calculations in the Piceance Basin, Colorado as part of a 2009 National Oil Shale Assessment.

  4. TINITALY, a digital elevation model of Italy with a 10 meters cell size,...

    • data.ingv.it
    + more versions
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    data.ingv.it, TINITALY, a digital elevation model of Italy with a 10 meters cell size, version 1.0 - Dataset - [Dataset]. https://data.ingv.it/dataset/185
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    Dataset provided by
    National Institute of Geophysics and Volcanologyhttps://www.ingv.it/
    License

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

    Area covered
    Italy
    Description

    The dataset is a 10 m-resolution DEM in grid format covering the whole Italian territory. The DEM is encoded as “ESRI ASCII Raster” obtained by interpolating the original DEM in Triangular Irregular Network (TIN) format. The TIN version benefited from the systematic application of the DEST algorithm. The projection is UTM, the World Geodetic System 1984 (WGS 84). To provide the dataset as a single seamless DEM, the sole zone 32 N was selected, although about half of Italy belongs to zone 33 N. The database is arranged in 193 square tiles having 50 km side. Data e Risorse Questo dataset non ha dati ambiente terremoti vulcani

  5. R

    Tin Can Detection Dataset

    • universe.roboflow.com
    zip
    Updated Jun 19, 2025
    + more versions
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    ReVoltiFi (2025). Tin Can Detection Dataset [Dataset]. https://universe.roboflow.com/revoltifi/tin-can-detection/model/1
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    zipAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    ReVoltiFi
    License

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

    Variables measured
    Tin Cans Bounding Boxes
    Description

    Tin Can Detection

    ## Overview
    
    Tin Can Detection is a dataset for object detection tasks - it contains Tin Cans annotations for 2,857 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  6. R

    Tin 300 Dataset

    • universe.roboflow.com
    zip
    Updated Sep 9, 2025
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    Hello World (2025). Tin 300 Dataset [Dataset]. https://universe.roboflow.com/hello-world-cwiyq/tin-300-6ewtc/model/3
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    zipAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Hello World
    License

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

    Variables measured
    Tin
    Description

    Tin 300

    ## Overview
    
    Tin 300 is a dataset for classification tasks - it contains Tin annotations for 606 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
    
  7. R

    Tin 200 Dataset

    • universe.roboflow.com
    zip
    Updated Sep 9, 2025
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    Hello World (2025). Tin 200 Dataset [Dataset]. https://universe.roboflow.com/hello-world-cwiyq/tin-200-lk0hx/model/2
    Explore at:
    zipAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset authored and provided by
    Hello World
    License

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

    Variables measured
    Tin
    Description

    Tin 200

    ## Overview
    
    Tin 200 is a dataset for classification tasks - it contains Tin annotations for 400 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  8. n

    3D model of a tea tin of the "Fram" Expedition

    • datarepository.nhm-wien.ac.at
    png, txt
    Updated Jun 30, 2024
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    Pauline Forsthuber; Anna Haider (2024). 3D model of a tea tin of the "Fram" Expedition [Dataset]. http://doi.org/10.57756/6e2rk6
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    txt(14467233 bytes), txt(243 bytes), txt(3410356 bytes), png(10678281 bytes), png(3957875 bytes), txt(242 bytes)Available download formats
    Dataset updated
    Jun 30, 2024
    Dataset provided by
    Naturhistorisches Museum Wien
    Authors
    Pauline Forsthuber; Anna Haider
    License

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

    Area covered
    Europe
    Description

    3D scan of a metal tea tin from the winter camp of the "Fram" expedition 1895/1896 on Franz Josef Land. The tea tin still contains black tea leaves. The expedition was led by the later Nobel Peace Prize laureate Fridtjof Nansen (1861–1930).

  9. R

    Tin Detect Dataset

    • universe.roboflow.com
    zip
    Updated Jul 27, 2025
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    Ewha SSK (2025). Tin Detect Dataset [Dataset]. https://universe.roboflow.com/ewha-ssk/tin-detect/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 27, 2025
    Dataset authored and provided by
    Ewha SSK
    License

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

    Variables measured
    Characters Bounding Boxes
    Description

    Tin Detect

    ## Overview
    
    Tin Detect is a dataset for object detection tasks - it contains Characters annotations for 293 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  10. n

    A digital terrain model of Antarctica in Triangulated Irregular Network...

    • cmr.earthdata.nasa.gov
    • researchdata.edu.au
    • +1more
    Updated Apr 5, 2019
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    (2019). A digital terrain model of Antarctica in Triangulated Irregular Network (TIN) format, derived from ERS Radar Altimetry. [Dataset]. http://doi.org/10.26179/5b6cef098c016
    Explore at:
    Dataset updated
    Apr 5, 2019
    Time period covered
    Jan 1, 2003 - Jan 31, 2003
    Area covered
    Antarctica,
    Description

    An ESRI formatted triangular irregular network (TIN) of the Antarctic continental terrain, derived from ERS radar altimeter data. The data is in a Polar Stereographic projection with true scale at 71 degrees South. The TIN is unreliable in latitudes south of 82 degrees South and steep areas of the continent, particularly along the coast.

    ESA's two European Remote Sensing (ERS) satellites, ERS-1 and 2, were launched into the same orbit in 1991 and 1995 respectively. Their payloads included a synthetic aperture imaging radar, radar altimeter and instruments to measure ocean surface temperature and wind fields.

    ERS-2 added an additional sensor for atmospheric ozone monitoring. The two satellites acquired a combined data set extending over two decades.

    The ERS-1 mission ended on 10 March 2000 and ERS-2 was retired on 05 September 2011.

  11. R

    Tin 100 Dataset

    • universe.roboflow.com
    zip
    Updated Oct 12, 2025
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    Hello World (2025). Tin 100 Dataset [Dataset]. https://universe.roboflow.com/hello-world-cwiyq/tin-100-udzir/model/1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 12, 2025
    Dataset authored and provided by
    Hello World
    License

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

    Variables measured
    Tin
    Description

    TIN 100

    ## Overview
    
    TIN 100 is a dataset for classification tasks - it contains Tin annotations for 201 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  12. U

    GRID Raster Dataset Model and TIN Model of Overburden Above the LaClede Bed...

    • data.usgs.gov
    • catalog.data.gov
    Updated Mar 29, 2025
    + more versions
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    Tracey Mercier (2025). GRID Raster Dataset Model and TIN Model of Overburden Above the LaClede Bed in the Green River and Washakie Basins, southwestern Wyoming [Dataset]. http://doi.org/10.5066/P9ULOSO9
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    Dataset updated
    Mar 29, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Tracey Mercier
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    2011
    Area covered
    Wyoming
    Description

    An ESRI GRID raster data model and TIN model of the overburden material above the LaClede bed of the Laney Member of the Eocene Green River Formation was needed to perform calculations in the Green River and Washakie Basins, southwestern Wyoming as part of a National Oil Shale Assessment.

  13. w

    TIN CAN MODELS (Name) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, TIN CAN MODELS (Name) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/name/TIN-CAN-MODELS/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Nov 9, 2025
    Description

    Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name TIN CAN MODELS.

  14. a

    Arlington VCE TIN 2002

    • geospatial-data-repository-for-virginia-tech-virginiatech.hub.arcgis.com
    Updated Mar 1, 2021
    + more versions
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    Virginia Tech (2021). Arlington VCE TIN 2002 [Dataset]. https://geospatial-data-repository-for-virginia-tech-virginiatech.hub.arcgis.com/content/51f14e5976b247eebfe475231c5ef01b
    Explore at:
    Dataset updated
    Mar 1, 2021
    Dataset authored and provided by
    Virginia Tech
    Area covered
    Description

    "The digital terrain model was initially generated by Center for Geospatial Technology (CGIT) for the Virginia Geographic Information Network (VGIN) using the mass points and break lines from the 2002 VBMP aerial photography. This effort represents the most accurate digital terrain model (DTM) ever generated statewide for Virginia. The Triangulated Irregular Network (TIN) provides seamless coverage for each county in Virginia. TINs are used to ascertain landscape characteristics and to serve as a topographic model to support surface drapes (for imagery, etc.). Ancillary data sets are often generated from TINs. These data sets may include: slope, aspect, contours, digital elevation models, etc. Note that the DTM is appropriate for general planning purposes only. For more information on this data refer to the supplemental metadata pdf found at: https://secure-archive.gis.vt.edu/gisdata/public/UnitedStates/Virginia/VCE_2002_metadata/METADATA.pdfThis data has been curated by the Virginia Cooperative Extension at Virginia Tech and Virginia Tech University Libraries. This data is meant for general use only. Virginia Tech’s University Library is acting as a steward for this data and any questions about its use should refer to our Terms of Use Page."

  15. e

    Modèle numérique de terrain 1:10 000

    • data.europa.eu
    Updated Feb 3, 2024
    + more versions
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    NGI (2024). Modèle numérique de terrain 1:10 000 [Dataset]. https://data.europa.eu/data/datasets/782e5362-e941-4346-b891-3e7b7cb0c958?locale=es
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    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    NGI
    Description

    Digitaal terreinmodel, fotogrammetrisch opgemeten vanaf luchtfoto’s op schaal 1 :21.000 en opgesteld in een TIN-model (net van onregelmatige driehoeken). Voor de beschikbaarheid van deze dataset : zie afbeelding 1.

  16. w

    TIN-CAN-MODELS (Company) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, TIN-CAN-MODELS (Company) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/company/TIN-CAN-MODELS/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Nov 16, 2025
    Description

    Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company TIN-CAN-MODELS.

  17. f

    Data from: Decomposition Pathways for a Model TiN Chemical Vapor Deposition...

    • acs.figshare.com
    html
    Updated Jun 1, 2023
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    Thomas R. Cundari; James M. Morse (2023). Decomposition Pathways for a Model TiN Chemical Vapor Deposition Precursor [Dataset]. http://doi.org/10.1021/cm950314z.s001
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    htmlAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    ACS Publications
    Authors
    Thomas R. Cundari; James M. Morse
    License

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

    Description

    A computational study of small-molecule elimination, modeling chemical vapor deposition (CVD) pathways, from a model single-source precursor of titanium nitride is reported. A comparison of possible multiply bonded intermediates is made. Calculated geometries for all species agree well with experiment. Transition states for energetically favorable 1,2-elimination to form multiply bonded intermediates are four-centered geometries with a “kite-shape” (i.e., one obtuse and three acute angles). Processes involving the transfer of H from an amido (NHR) ligand to the leaving group (X) are predicted to be the most favorable. In cases where a group other than H (in this case, methyl) is transferred from the amido (NMeR) to X, the TS has a square shape and a much higher barrier to 1,2-elimination. Pathways to cyclic intermediates and β-H elimination pathways are also compared with 1,2-elimination. The β-H elimination process to form an organic imine and a Ti-amido is found to be kinetically and thermodynamically disfavored versus the lower energy 1,2-elimination processes. Pathways to the formation of cyclic products (η2-imine complexes), recently suggested by experimentalists as a potential decomposition route for TiN precursors, have slightly higher barriers and may be competitive with 1,2-elimination processes under CVD conditions. Analysis of the data for all decomposition reactions suggests that interaction between the metal and the small molecule being eliminated plays an important role in stabilizing the transition state and making it energetically accessible. It is proposed that enhancing these interactions will result in lower activation barriers and potentially lower processing temepratures in CVD of transition-metal-containing materials in which such reactions are the rate-determining step.

  18. s

    Citation Trends for "A Simple Muffin‐Tin Model for Liquid Metals"

    • shibatadb.com
    Updated Aug 15, 1984
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    Yubetsu (1984). Citation Trends for "A Simple Muffin‐Tin Model for Liquid Metals" [Dataset]. https://www.shibatadb.com/article/BLP2JiFi
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    Dataset updated
    Aug 15, 1984
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    1985 - 1987
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "A Simple Muffin‐Tin Model for Liquid Metals".

  19. R

    Tin Ball Dataset

    • universe.roboflow.com
    zip
    Updated Nov 7, 2025
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    guetat (2025). Tin Ball Dataset [Dataset]. https://universe.roboflow.com/guetat/tin-ball-d2n0x/model/5
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    guetat
    License

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

    Variables measured
    Defect Bounding Boxes
    Description

    Tin Ball

    ## Overview
    
    Tin Ball is a dataset for object detection tasks - it contains Defect annotations for 283 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  20. s

    Topographic Layers Greater Toronto Area

    • geo2.scholarsportal.info
    Updated Feb 7, 2008
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    (2008). Topographic Layers Greater Toronto Area [Dataset]. http://geo2.scholarsportal.info/proxy.html?http:_giseditor.scholarsportal.info/details/view.html?uri=/NAP/UT/668.xml&show_as_standalone=true
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    Dataset updated
    Feb 7, 2008
    Time period covered
    Jan 1, 2002
    Area covered
    Description

    Data contains Breaklines (which include road / street widths), contours at 1 metre intervals and 2 metre intervals, and a (triangulated irregular network (TIN) model, and DTM points. Toronto contours.

    Available on DVD at the Map and Data Library. DVD #311.

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U.S. Geological Survey (2025). TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado [Dataset]. https://catalog.data.gov/dataset/tin-dataset-model-of-overburden-above-the-mahogany-bed-in-the-uinta-basin-utah-and-colorad

TIN Dataset Model of Overburden Above the Mahogany Bed in the Uinta Basin, Utah and Colorado

Explore at:
Dataset updated
Nov 27, 2025
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
Utah, Uinta Basin, Colorado
Description

An ESRI TIN data model of the overburden material above the Mahogany bed was needed to perform calculations in the Uinta Basin, Utah and Colorado as part of a 2009 National Oil Shale Assessment.

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