The 2012 Triangulated irregular network (TIN) product is a mesh composed of irregular triangles. The dataset is freely downloadable as a zipped file.

The INSPIRE Elevation TIN data are harmonised according to INSPIRE Implementing Rules. This dataset of the elevation of the Czech Republic therefore has the unified design with other data created for this INSPIRE theme in frame of whole Europe. Data were derived from the Digital Terrain Model of the Czech Republic – 5th generation (DMR 5G). For compliance with the data specification data were transformed to coordinate reference system ETRS89-TM33N and ETRS89-TM34N and heigh reference system EVRS. Data are provided in GML format, version 3.2.1. Export units are defined by the grid SM5. The file consists mainly from coordinates of descrete points, that are supplemented by addtition information. For the entire Czech Republic data are provided in ETRS89-TM33N coordinate system, for the east territory (from 17° longitude) data are provided in ETRS89-TM34N coordinate system on request.

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

These toronto contours are zipped files which contain both AutoCAD and shapefile format files. Originals held on DVD along with composite file for contours at 1m and 2m intervals as well as elevation points (DEM), TIN, breaklines and hulls. DVD also includes data for Brampton and Mississauga.See DVD for all data. Please note that the contour files are listed as open data. All other layers remain restricted to use by the University of Toronto community.

DVD available at the Map and Data Library. DVD #379.

This location is part of the Arizona Mineral Industry Location System (AzMILS), an inventory of mineral occurences, prospects and mine locations in Arizona. Greenlee108 is located in T4S R31E Sec 36 NE in the Big Lue Mts - 15 Min quad. This collection consists of various reports, maps, records and related materials acquired by the Arizona Department of Mines and Mineral Resources regarding mining properties in Arizona. Information was obtained by various means, including the property owners, exploration companies, consultants, verbal interviews, field visits, newspapers and publications. Some sections may be redacted for copyright. Please see the access statement.

This ZIP file contains the digital elevation model, soil grading and the initial SSSPAM parameter set for the Tin Camp Creek study catchment.

This is a excel file of Supplementary tables for “Experimental determination of tin partitioning between titanite, ilmenite and granitic melts using improved capsule designs”

The INSPIRE Download Service for the theme Elevation-TIN (EL_TIN) is the service that allows registered users to download repeatedly data using WFS 2.0.0 technology. The Download Service provides INSPIRE harmonised data for the theme Elevation-TIN (EL_TIN) corresponding with INSPIRE xml schema in version 4.0. Data are provided in format GML 3.2.1, in coordinate system ETRS 33N and EVRS. For easy access to data one map sheet of SM5 is considered as one feature type ElevationTIN. A link to this file is a part of the feature ElevationTIN.

List of 10 low RIN/medTIN mCRPC and 10 higher RIN/medTIN mCRPC samples used for differential expression analysis. “N” = Metastatic bone site, “V1” = Visit 1. Whole datasets are available with accession # GSM1722952. (XLS 97 kb)

This dataset provides a representation of ground elevation (in NAVD 88 feet). Spot elevations are evenly spaced every 50 feet. Points on a regular grid were derived from LiDAR LAS files (flown in 2007 as part of the Statewide Regional Evacuation Study) using QChoherent's LP360 software. ASCII XYZ coordinates exported from a "Surface " using Triangulation (TIN) and a cell size of 50 feet were used to generate the points in this dataset.

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) conducted research to identify areas of seafloor elevation stability and instability based on elevation changes between the years of 2016 and 2019 along the Florida Reef Tract (FRT) from Miami to Key West within a 939.4 square-kilometer area. USGS SPCMSC staff used seafloor elevation-change data from Fehr and others (2021) derived from an elevation-change analysis between two elevation datasets acquired in 2016/2017 and 2019 using the methods of Yates and others (2017). Most of the elevation data from the 2016/2017 time period were collected during 2016, so as an abbreviated naming convention, we refer to this time period as 2016. Due to file size limitations, the elevation-change data was divided into five blocks. A seafloor stability threshold was determined for the 2016-2019 FRT elevation-change datasets based on the vertical uncertainty of the 2016 and 2019 digital elevation models (DEMs). Five stability categories (which include, Stable: 0.0 meters (m) to ±0.24 m or 0.0 m to ±0.49 m; Moderately stable: ±0.25 m to ±0.49 m; Moderately unstable: ±0.50 m to ±0.74 m; Mostly unstable: ±0.75 m to ±0.99 m; and Unstable: ±1.00 m to Max/Min elevation change) were created and used to define levels of stability and instability for each elevation-change value (total of 235,153,117 data points at 2-m horizontal resolution) based on the amount of erosion and accretion during the 2016 to 2019 time period. Seafloor-stability point and triangulated irregular network (TIN) surface models were created for each block at five different elevation-change data resolutions (1st order through 5th order) with each resolution becoming increasingly more detailed. The stability models were used to determine the level of seafloor stability at potential areas of interest for coral restoration and 14 habitat types found along the FRT. Stability surface (TIN) models were used for areas defined by specific XY geographic points, while stability point models were used for areas defined by bounding box coordinate locations. This data release includes ArcGIS Pro map packages containing the binned and color-coded stability point and surface (TIN) models, potential coral restoration locations, and habitat files for each block; maps of each stability model; and data tables containing stability and elevation-change data for the potential coral restoration locations and habitat types. Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068. Coral restoration locations were provided by Mote Marine Laboratory under Special Activity License SAL-18-1724-SCRP.

"These contours are represented as vector data (lines). Each contour line is associated with an elevation (number of feet above sea level) in the attribute database. Contours were generated from the TIN (see description under DTM on page 6 of the supplemental METADATA FILE). Note that these contours are suitable for general landscape planning and educational purposes only. They are not survey-grade quality, and are not intended to support applications that require survey-quality data. These contours should be used for general reference and educational purposes only. The contour interval is 20 feet for counties/localities that lie west of the fall line (I-95 corridor) and 10 feet for localities that lie east of the fall line (I-95). The supplemental METADATA file included with the data contains an illustration below the Contour section that shows contours (left) and contours draped over aerial photography (right).Contours are used as a visual tool to understand general topographic landscape characteristics. In addition, contours can be “queried” so that users can quickly identify areas above or below certain elevations. However, these contours have been interpolated, and are only approximate. Applications requiring precise elevation measurements will require the assistance of a professional surveyor.The Virginia Geospatial Extension Program developed the contour layer using the TIN (described under DTM on page 6 of the supplemental METADATA file). 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."

"These contours are represented as vector data (lines). Each contour line is associated with an elevation (number of feet above sea level) in the attribute database. Contours were generated from the TIN (see description under DTM on page 6 of the supplemental METADATA FILE). Note that these contours are suitable for general landscape planning and educational purposes only. They are not survey-grade quality, and are not intended to support applications that require survey-quality data. These contours should be used for general reference and educational purposes only. The contour interval is 20 feet for counties/localities that lie west of the fall line (I-95 corridor) and 10 feet for localities that lie east of the fall line (I-95). The supplemental METADATA file included with the data contains an illustration below the Contour section that shows contours (left) and contours draped over aerial photography (right).Contours are used as a visual tool to understand general topographic landscape characteristics. In addition, contours can be “queried” so that users can quickly identify areas above or below certain elevations. However, these contours have been interpolated, and are only approximate. Applications requiring precise elevation measurements will require the assistance of a professional surveyor.The Virginia Geospatial Extension Program developed the contour layer using the TIN (described under DTM on page 6 of the supplemental METADATA file). 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."

This file includes data of the determined cassiterite solubility and the raw data of Raman spectra presented in text.

This data set derives from a pilot plant campaign for the beneficiation of a complex tin bearing skarn ore, including different separation and classification steps. The aim of the pilot plant test work was to prove a flowsheet that had been developed based on detailed geometallurgical analysis and results from the research projects AFK (Aufbereitung feinkörniger Komplexerze, BMBF grant number 033R128) and FAME (European Union grant 641650) to produce a cassiterite concentrate for tin production, and further preconcentrates for iron, zinc, copper, indium, and arsenic. The tin mineralization is partially well localized in cassiterite, but also partially finely disseminated and thus unrecoverable as minor components in other minerals. The iron is located in magnetic and nonmagnetic iron oxides sometimes intergrown with cassiterite. Therefore, iron concentrates are recovered at larger grain sizes but need a further tin recovery step not implemented in the reported experiment. The other elements are mainly deported in sulfides, which are bulk recovered in a flotation step. A subsequent selective flotation is needed to recover them individually. This selective flotation is, however, not part of the reported experiment. The two tin concentrates recovered from the shaking table should be considered as preconcentrates, that can be enriched further e.g. through multi-stage gravity separation.

The motivation for this data set is to provide a consistent basis for the application of new particle based geometallurgical methods enabled by automated mineralogy (e.g. Buchmann et al. 2018; Schach et al. 2019; Buchmann et al. 2020; Pereira et al. 2020).

In addition, it should also allow for the comparison and evaluation of different analytical methods, which were used during the pilot plant experiments to generate a validated data set for the whole plant and to correlate different result from various methods. This is the basis for further investigations enabling the application of various analyzing methods in a synergetic way. Those synergies can help in the future to compensate drawbacks of certain methods by an adequate combination of multiple approaches.

This repository includes raw data and processed data from November 19, 2018. The following data is included:

• X-ray fluorescence spectroscopy (XRF)
• X-ray diffraction (XRD)
• Automated Mineralogy (MLA)
• The balanced mass flows and element/mineral grades for the XRF- and the MLA data
• External certified analysis including different inductive coupled plasma (ICP) and XRF methods from ALS
• R scripts for the mass balance

Please find further information in the "supplementary information" file

"These contours are represented as vector data (lines). Each contour line is associated with an elevation (number of feet above sea level) in the attribute database. Contours were generated from the TIN (see description under DTM on page 6 of the supplemental METADATA FILE). Note that these contours are suitable for general landscape planning and educational purposes only. They are not survey-grade quality, and are not intended to support applications that require survey-quality data. These contours should be used for general reference and educational purposes only. The contour interval is 20 feet for counties/localities that lie west of the fall line (I-95 corridor) and 10 feet for localities that lie east of the fall line (I-95). The supplemental METADATA file included with the data contains an illustration below the Contour section that shows contours (left) and contours draped over aerial photography (right).Contours are used as a visual tool to understand general topographic landscape characteristics. In addition, contours can be “queried” so that users can quickly identify areas above or below certain elevations. However, these contours have been interpolated, and are only approximate. Applications requiring precise elevation measurements will require the assistance of a professional surveyor.The Virginia Geospatial Extension Program developed the contour layer using the TIN (described under DTM on page 6 of the supplemental METADATA file). 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."

Detailed mining information for mining in Devon and Cornwall gathered by George Dines (former BGS Geologist) for a period around 1921. Maps, plans and accompanying notes and documents provide detailed information on the metal mining ( mainly tin,copper,lead) at that time. A synthesis of this information was published in "The metalliferous mining region of south-west England" 3rd impression 1988.

This dataset contains the experimental data for the paper "XUV Absorption Spectroscopy and Photoconversion of a Tin-Oxo Cage Photoresist", by Najmeh Sadegh, Quentin Evrard, Peter M. Kraus and Albert M. Brouwer, The Journal of Physical Chemistry C, 2024, https://doi.org/10.1021/acs.jpcc.3c07480Files in the archivesdata_processing.zip:data_processing.pdf describes the processing of the data in more detail than in the Supporting Informationdata_high_energy.zip:data_high_energy.xlsx excel file with raw data and processed data for the energy range 42 - 70 eVreadme_data_high_energy.txt description of the content of data_high_energy.xlsxdata_low_energy.zip:readme_data_low_energy.txt explanation of the content of the filedata_low_energy.xlsx excel file with raw data for energy range 22 - 42 eVabsorbance vs. dose and vs. photons absorbed for 13 HHG peaksconversion_low_E.xslx fit parameters of the fits of the absorbance vs. dose on sample and vs. photons absorbed in the range 22 - 42 eVQuantum Yields vs. photon energy and number of photons absorbed; average quantum yield and number of butyl groups lostfigures.zip folder with the data that reproduce figures in the main text, as well as the cross section data retrieved from the CXRO database (https://henke.lbl.gov/optical_constants/)mol2.zip folder with the structures of relevant optimized structures (B3LYP/Def2SVP) in mol2 format

"These contours are represented as vector data (lines). Each contour line is associated with an elevation (number of feet above sea level) in the attribute database. Contours were generated from the TIN (see description under DTM on page 6 of the supplemental METADATA FILE). Note that these contours are suitable for general landscape planning and educational purposes only. They are not survey-grade quality, and are not intended to support applications that require survey-quality data. These contours should be used for general reference and educational purposes only. The contour interval is 20 feet for counties/localities that lie west of the fall line (I-95 corridor) and 10 feet for localities that lie east of the fall line (I-95). The supplemental METADATA file included with the data contains an illustration below the Contour section that shows contours (left) and contours draped over aerial photography (right).Contours are used as a visual tool to understand general topographic landscape characteristics. In addition, contours can be “queried” so that users can quickly identify areas above or below certain elevations. However, these contours have been interpolated, and are only approximate. Applications requiring precise elevation measurements will require the assistance of a professional surveyor.The Virginia Geospatial Extension Program developed the contour layer using the TIN (described under DTM on page 6 of the supplemental METADATA file). 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."

This draft dataset contains the output files of crystal structure prediction calculations (density-functional theory relaxations and phonon calculations) on the ternary K-Sn-P phase diagram. All calculations were performed with the CASTEP DFT package (https://www.castep.org/) and the "matador" Python library (https://github.com/ml-evs/matador).

Contents:

• "convergence_tests_*/": contains the results of convergence tests on the K-P system at two levels of accuracy "polish" and "searches" on the corresponding edge of the K-Sn-P ternary system
• "phonons_*/": contains CASTEP output files for phonon calculations on the predicted low-lying phases on the corresponding edge of the K-Sn-P phase diagram
• "polish_*/": contains CASTEP output files of relaxations on the corresponding edge of the K-Sn-P system at the "polish" level of accuracy using various different xc-functionals or external pressures.
• "searches_*/": contains ".res" files that provide the relaxed structure from each different crystal structure prediction method on the corresponding edge of the K-Sn-P system.