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TwitterAn 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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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## 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).
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TwitterAn 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## 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).
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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## 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).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## 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).
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TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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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).
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## 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).
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TwitterAn 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.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## 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).
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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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.
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Twitterhttps://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name TIN CAN MODELS.
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Twitter"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."
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TwitterDigitaal 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.
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Twitterhttps://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/
Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company TIN-CAN-MODELS.
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TwitterAttribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
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.
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Twitterhttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt
Yearly citation counts for the publication titled "A Simple Muffin‐Tin Model for Liquid Metals".
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## 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).
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TwitterData 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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TwitterAn 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.