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TwitterDatabase files for the MOSAIC database (See associated manuscript: MOSAIC: A Unified Trait Database to Complement Structured Population Models for more information and guidance). See, also, user guide and further information on the MOSAIC portal: https://mosaicdatabase.web.ox.ac.uk/ The primary key for linking databases is the species name. File #1 - Primary trait database file, organised by species name (csv). Filte #2 - ERA-5 climate data for all population models in COMADRE, COMPADRE, and PADRIN (csv). Organised by population model ID. File #3 - OTL phylogeny for species in the COMADRE and COMPADRE databases. Note that these data files are intended for loading and use in R using the ape package. (txt)
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TwitterThis zip file contains geodatabases with raster mosaic datasets. The raster mosaic datasets consist of georeferenced tiff images of mineral potential maps, their associated metadata, and descriptive information about the images. These images are duplicates of the images found in the georeferenced tiff images zip file. There are four geodatabases containing the raster mosaic datasets, one for each of the four SaMiRA report areas: North-Central Montana; North-Central Idaho; Southwestern and South-Central Wyoming and Bear River Watershed; and Nevada Borderlands. The georeferenced images were clipped to the extent of the map and all explanatory text, gathered from map explanations or report text was imported into the raster mosaic dataset database as ‘Footprint’ layer attributes. The data compiled into the 'Footprint' layer tables contains the figure caption from the original map, online linkage to the source report when available, and information on the assessed commodities according to the legal definition of mineral resources—metallic, non-metallic, leasable non-fuel, leasable fuel, geothermal, paleontological, and saleable. To use the raster mosaic datasets in ArcMap, click on “add data”, double click on the [filename].gdb, and add the item titled [filename]_raster_mosaic. This will add all of the images within the geodatabase as part of the raster mosaic dataset. Once added to ArcMap, the raster mosaic dataset appears as a group of three layers under the mosaic dataset. The first item in the group is the ‘Boundary’, which contains a single polygon representing the extent of all images in the dataset. The second item is the ‘Footprint’, which contains polygons representing the extent of each individual image in the dataset. The ‘Footprint’ layer also contains the attribute table data associated with each of the images. The third item is the ‘Image’ layer and contains the images in the dataset. The images are overlapping and must be selected and locked, or queried in order to be viewed one at a time. Images can be selected from the attribute table, or can be selected using the direct select tool. When using the direct select tool, you will need to deselect the ‘overviews’ after clicking on an image or group of images. To do this, right click on the ‘Footprint’ layer and hover over ‘Selection’, then click ‘Reselect Only Primary Rasters’. To lock a selected image after selecting it, right-click on the ‘Footprint’ layer in the table of contents window and hover over ‘Selection’, then click ‘Lock To Selected Rasters’. Another way to view a single image is to run a definition query on the image. This is done by right clicking on the raster mosaic in the table of contents and opening the layer properties box. Then click on the ‘Definition Query’ tab and create a query for the desired image.
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TwitterGet the latest USA Mosaic import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.
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Twitterhttps://data.csiro.au/dap/ws/v2/licences/1161https://data.csiro.au/dap/ws/v2/licences/1161
Data Mosaic is an advanced software solution which gives the exploration or mine geologist the ability to rapidly and accurately turn numerical drill hole data into useful geological information.
Using automated methods, Data Mosaic provides consistent interpretation of numerical drill hole data, overcoming inconsistent subjectivity inherent in human interpretation of large and complex data sets. Data Mosaic can process large data sets in a matter of seconds or minutes, replacing human interpretation, which may take many weeks. It uses an automated process controlled by the geologist so that their expert geological knowledge is incorporated into the workflow, resulting in geologically meaningful outputs targeted to solving deposit specific problems.
Data Mosaic uses boundary detection algorithms adapted from established and reliable image analysis techniques; these provide accurate detection of lithological boundaries down hole. The boundaries are used to segment the data stream into lithological units to which lithological classification is applied. This method overcomes noise and misclassification problems that result from applying machine learning to individual samples. Lineage: Data Mosaic is a variant on the "Wavelet Tessellation" (WT) method developed as part of the Deep Exploration Technologies (DET) CRC. The DET CRC assigned commercialisation rights for WT to their sponsor Imdex for inclusion in Imdex's IOGas software product.
Data Mosaic differs from WT in that (1) it has multivariate capabilities, while WT is for univariate data only and (2) scale in Data Mosaic is measured using wavelet coefficient, while scale in WT is measured using wavelet scale. The development of Data Mosaic was wholly funded by CSIRO.
The methods behind Data Mosaic and WT have been published but code has not been made public.
The Data Mosaic name is a registered trademark belonging to CSIRO.
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Twitterhttps://www.neonscience.org/data-samples/data-policies-citationhttps://www.neonscience.org/data-samples/data-policies-citation
Surface directional reflectance (0-1 unitless, scaled by 10,000) computed from the NEON Imaging Spectrometer (NIS). Major corrections include: calibration, orthorectification, and atmospheric correction. Data are mosaicked into 1 km by 1 km tiles.
Starting with data collected in 2022 onward, bidirectional reflectance data (with BRDF and topographic corrections applied) will be available under a new data product ID revision number: "Spectrometer orthorectified surface bidirectional reflectance - mosaic" data product (DP3.30006.002). L3 reflectance derived from directional reflectance (DP3.30006.001) will still be available for earlier collections (pre 2022) until they are re-processed with all of the latest reflectance corrections, at which point they will be replaced by the .002 revision.
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TwitterThis repository contains all submissions made to the Mosaic Standards challenge from the period of the challenge opening through December 31st, 2019. The Mosaic Standards Challenge asked the microbiome research community to participate in determining the level of variation due to wet-lab protocols by sequencing a set of samples and providing the resulting files. Each participant ordered one or more kits, where each kit contained five fecal samples and two predetermined DNA mixtures. All samples were identical across all kits; in other words, the samples labled "#1" provided to each lab were identical to each other. Participants in the challenge sequenced any number of the provided samples and provided both the raw sequencing result files, and the details of their protocol. Protocol details were provided by answering a set of pre-specified questions in a metadata spreadsheet upon submission of each sample.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Comprehensive dataset containing 100 verified Mosaic locations in United States with complete contact information, ratings, reviews, and location data.
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This extensible dataset, MOSAIC, aggregates individual functional magnetic resonance imaging (fMRI) datasets by leveraging a shared preprocessing pipeline and stimulus curation procedure. This dataset aggregation procedure achieves the scale necessary for neural network training and the diversity needed for generalizable results.
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TwitterThe American Mosaic Project is a multiyear, multi-method study of the bases of solidarity and diversity in American life. The principal investigators of this project are Doug Hartmann, Penny Edgell and Joseph Gerteis at the "https://twin-cities.umn.edu/" Target="_blank">University of Minnesota. The survey portion of the project consists of a random-digit-dial telephone survey (N=2,081) conducted during the summer of 2003 by the "https://uwsc.wisc.edu/" Target="_blank">University of Wisconsin Survey Center. The survey was designed to gather data on attitudes about race, religion, politics and American identity as well as demographic information and social networks.
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/28821/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/28821/terms
The survey is from the American Mosaic Project, a multiyear, multimethod study of the bases of solidarity and diversity in American life. The survey contains items measuring the place of diversity in visions of American society and in respondents' own lives; social and cultural boundaries between groups and dimensions of inclusion and exclusion; racial and religious identity, belonging and discrimination; opinions about sources of advancement for Whites and African Americans; opinions about immigration and assimilation; diversity in respondents' close-tie network; political identity and demographic information. The survey also includes oversamples of African American and Hispanic respondents, allowing for comparisons across racial/ethnic categories. Demographic variables include race, age, gender, religion, level of education, United States citizenship status, partisan affiliation, and family income. See Appendix: Project Narrative for more information.
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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This data set contains the Magellan Full-resolution Mosaic Image Data Records (F-MIDR) which consists of SAR mosaics generated from F-BIDRs (i.e., with 75 meters / pixel). Each F-MIDR is in a sinusoidal equal area projection and has an origin at 0 degrees latitude, with the central meridian defined as the longitude bisecting the mosaic. Each F-MIDR has 7168 lines (aligned with latitude) by 8192 samples, arranged on the CD-ROM as 56 1024 x 1024 files. F-MIDRs have been generated for key terrains on the planet, regions where highest spatial resolution is required for analysis.
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TwitterThis public base layer imagery is a whole of State layer configured as a flattened and seamless single service. It can be used as a background in conjunction with other data services to provide a spatial reference. Locate uses the WA Now imagery service and comprises of 1:100k aerial imagery tiles, aboriginal community, regional and town site mosaics, as well as the Perth Metro 'metropolitan' mosaic. This service, particularly the large scale imagery (ie Perth metro, town sites, aboriginal communities) is a delayed deployment and a minimum of 300 days older than the subscription version of WA Now imagery. It is intended for non-commercial use only and not recommended for use by commercial entities or government agencies. © Western Australian Land Information Authority (Landgate) 2016. Access to Landgate’s publicly available data is subject to the terms and conditions of the SLIP Transaction - Personal Use Licence. © Western Australian Land Information Authority (Landgate). Use of Landgate data is subject to Personal Use License terms and conditions unless otherwise authorised under approved License terms and conditions.
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TwitterOpen Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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The High Resolution Digital Elevation Model Mosaic provides a unique and continuous representation of the high resolution elevation data available across the country. The High Resolution Digital Elevation Model (HRDEM) product used is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The mosaic is available for both the Digital Terrain Model (DTM) and the Digital Surface Model (DSM) from web mapping services. It is part of the CanElevation Series created to support the National Elevation Data Strategy implemented by NRCan. This strategy aims to increase Canada's coverage of high-resolution elevation data and increase the accessibility of the products. Unlike the HRDEM product in the same series, which is distributed by acquisition project without integration between projects, the mosaic is created to provide a single, continuous representation of strategy data. The most recent datasets for a given territory are used to generate the mosaic. This mosaic is disseminated through the Data Cube Platform, implemented by NRCan using geospatial big data management technologies. These technologies enable the rapid and efficient visualization of high-resolution geospatial data and allow for the rapid generation of dynamically derived products. The mosaic is available from Web Map Services (WMS), Web Coverage Services (WCS) and SpatioTemporal Asset Catalog (STAC) collections. Accessible data includes the Digital Terrain Model (DTM), the Digital Surface Model (DSM) and derived products such as shaded relief and slope. The mosaic is referenced to the Canadian Height Reference System 2013 (CGVD2013) which is the reference standard for orthometric heights across Canada. Source data for HRDEM datasets used to create the mosaic is acquired through multiple projects with different partners. Collaboration is a key factor to the success of the National Elevation Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.
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TwitterBathymetry is the measurement of the depth of the ocean floor, data that can be used for a variety of purposes such as: nautical charting, oceanographic research and modeling, habitat classification, maritime commerce, and recreational applications. The Multibeam Bathymetry Database (MBBDB) at NCEI collects and archives multibeam data from the earliest commercial installations (circa 1980) through today's modern high-resolution collections. Data are acquired from both U.S. and international government and academic sources (see individual cruise metadata records for source information) and consist of the raw (as collected) sonar data files. Datasets may also include processed or edited versions of the sonar data, ancillary data (i.e., sound velocity data), derived products (i.e., grids), and/or metadata for the data collection. The MBBDB provides data that span the globe and are discoverable and accessible via map interface or text-only search options. More information about the database can be found here.This ArcGIS image service provides a color shaded relief visualization of gridded multibeam data from the entire archive. Each individual survey has been gridded at a 3 arc-second cell size (~100m), divided into 10-degree tiles, then organized into an ArcGIS mosaic dataset. "Overviews" are then built upon the underlying tiles to provide a seamless raster that combines all the surveys. Where surveys overlap, the mean depth value of the contributing surveys is used.Note: NCEI's archive typically contains the raw, unedited multibeam data provided by the data contributors. There are some erroneous depth values and/or data artifacts visible in this service. These data should not be used for navigational purposes.There are three services providing access to the multibeam archive:Multibeam Bathymetry Mosaic (REST endpoint): provides depth values (default) or shaded-relief imagery. All surveys are combined together (using mean depth value) into "overviews".Multibeam Bathymetry Mosaic: Shaded Relief Visualization: tiled image service, provides rapid display of color shaded relief imagery.Multibeam Bathymetry Mosaic Subsets (REST endpoint): provides access to the individual surveys, and allows filtering by survey ID, platform name, source organization, survey date, etc. This service has slower performance than the others.This tiled service is also available as a downloadable tile package (.tpkx file) usable in ArcGIS Pro / ArcGIS Desktop software.For ship tracks of the multibeam surveys, along with additional metadata and links to obtain the data, see the corresponding Multibeam Bathymetric Surveys service.NCEI's Bathymetric Data Viewer (NOAA GeoPlatform entry) provides an interactive mapping interface to the multibeam database as well as other sources of bathymetric data.For visualization, the water depths are displayed using this color ramp:Mosaic last updated: Mar. 5, 2024.Metadata for the Multibeam Bathymetric Database
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TwitterThis data set contains thirty-seven fields simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing and range from Jan 1979 to the present. The temporal resolution is monthly. The file format is netCDF (converted from the GRIB format). The NLDAS-2 monthly Mosaic model data, containing thirty-seven fields, were generated from the NLDAS-2 hourly Mosaic model data, as monthly accumulation for rainfall, snowfall, subsurface runoff, surface runoff, total evapotranspiration, and snow melt, and monthly average for other variables. Monthly period of each month is from 00Z at start of the month to 23:59Z at end of the month, except the first month (Jan. 1979) that starts from 00Z 02 Jan 1979. Details about the NLDAS-2 configuration of the Mosaic LSM can be found in Xia et al. (2012).
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1131 Global export shipment records of Pebble Mosaic with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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TwitterThis data set, part of the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) program, contains a multi-year ice-sheet-wide velocity mosaic for Greenland, derived from Interferometric Synthetic Aperture Radar (InSAR), Synthetic Aperture Radar (SAR), and Landsat 8 optical imagery data.
See Greenland Ice Mapping Project (GIMP) for related data.
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TwitterThe MOSAICO database collects the available information on the reclamation procedures that affect the Italian territory, both local ones falling within the competence of the Regions or bodies delegated by them and those in the SINs (Sites of National Interest) within the competence of the MASE (Ministry of the Environment and Energy Safety). The object of the database is the remediation process, whether it is ongoing or completed. For each procedure, administrative – management information (type of procedure, competent authority, parties involved, progress of the procedure), technical information (matrices involved, type and degree of contamination, type of intervention) and costs are stored.The reclamation of contaminated sites is regulated at national level by Legislative Decree 152/06 and as amended. Part Four, Title V. The registry of the sites subject to the reclamation procedure is an instrument provided for by the rules on contaminated sites (first DM 471/99 now Legislative Decree 152/06 and as amended Article 251) prepared by the Regions and Autonomous Provinces. According to Article 251 of Legislative Decree 15/06 e smi, paragraph 3 “To ensure the effectiveness of the collection and transfer of data and information, the Higher Institute for Environmental Protection and Research (ISPRA) defines, in collaboration with the regions and regional agencies for the protection of the environment, the contents and the structure of the essential data of the registry, as well as the modalities of their transposition into information systems linked to the network of the National Environmental Information System (SINA) (SINA).
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2238 United States import shipment records of Mosaic tile from Italy with prices, volume & current Buyer’s suppliers relationships based on actual United States import trade database.
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Comprehensive dataset containing 19 verified Mosaic locations in Georgia with complete contact information, ratings, reviews, and location data.
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TwitterDatabase files for the MOSAIC database (See associated manuscript: MOSAIC: A Unified Trait Database to Complement Structured Population Models for more information and guidance). See, also, user guide and further information on the MOSAIC portal: https://mosaicdatabase.web.ox.ac.uk/ The primary key for linking databases is the species name. File #1 - Primary trait database file, organised by species name (csv). Filte #2 - ERA-5 climate data for all population models in COMADRE, COMPADRE, and PADRIN (csv). Organised by population model ID. File #3 - OTL phylogeny for species in the COMADRE and COMPADRE databases. Note that these data files are intended for loading and use in R using the ape package. (txt)