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 heigh reference system EVRS. Data are provided in GML format, version 3.2.1. Export units are defined by tiles 2 x 2 km. The file consists mainly from coordinates of descrete points, that are supplemented by addtition information.

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

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.

no abstract provided

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

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.

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.

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)

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.

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

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.

edgeR detected top 1000 differentially expressed genes (FDR cutoff = 0.01) in GBM samples without TIN correction. FC = Fold Change; CPM = Count Per Million; FDR = False Discovery Rate. (XLS 143 kb)

This dataset contains oceanographic data collected at a 4 m - 23 m coastal station off Tin Can Bay Queensland (lat. 25 deg. 58 min. S, long. 153 deg. 1 min. E) in December 1973. Station set up under the CSIRO coastal monitoring program in the 1970s and was sampled approximately monthly for temperature, salinity, dissolved oxygen, phosphate and nitrate. The data are stored on-line as part of the CMR hydrology archive in Hobart. Additional copies of the data are deposited with the NODC data archive (World Data Centre-A) in the U.S.A., and details of relevant data files can be viewed via their website by requesting the file inventory for this coastal station which is NODC platform code "09TC".

This is an Arizona Site Steward file for the Sand Tank Mine, located on Bureau of Land Management land. The site is comprised of historic artifact scatter and mine tailings.

The file consists of a site data form. The earliest dated document is from 2007.

Data obtained from computational DFT calculations on Hexagonal TiN is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.

Attached file provides supplementary data for linked article. The data includes optical images of liquid tin exposed to ambient atmosphere, optical images of centimeter sized SnO sheets, additional TEM Images, XPS and PL data, tabulated data relating to the DFT calculations, additional DFT calculations, chem-resistive NO2 sensing data, and a schematic of the preconditioning process used in the glovebox. Two videos of related experiments are also attached.

Atomically thin semiconductors are one of the fastest growing categories in materials science due to their promise to enable high-performance electronic and optical devices. Furthermore, a host of intriguing phenomena have been reported to occur when a semiconductor is confined within two dimensions. However, the synthesis of large area atomically thin materials remains as a significant technological challenge. Here we report a method that allows harvesting monolayer of semiconducting stannous oxide nanosheets (SnO) from the interfacial oxide layer of liquid tin. The method takes advantage of van der Waals forces occurring between the interfacial oxide layer and a suitable substrate that is brought into contact with the molten metal. Due to the liquid state of the metallic precursor, the surface oxide sheet can be delaminated with ease and on a large scale. The SnO monolayer is determined to feature p-type semiconducting behavior with a bandgap of ∼4.2 eV. Field effect transistors based on monolayer SnO are demonstrated. The synthetic technique is facile, scalable and holds promise for creating atomically thin semiconductors at wafer scale.

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.

Dataset

This dataset was created by Tin Aung Yin AI

Released under Data files © Original Authors

Contents

It contains the following files:

Data obtained from computational DFT calculations on Orthorhombic TiN is provided. Available data include crystal structure, bandgap energy, stability, density of states, and calculation input/output files.