This dataset includes polygons that describe areas of rock outcrop in the area of the Stillwater Complex, Montana. The Stillwater Complex is an Archean, ultramafic to mafic layered intrusion exposed in the Beartooth Mountains in south-central Montana. This igneous intrusion contains magmatic mineralization that is variably enriched in strategic and critical commodities such as chromium, nickel, and the platinum-group elements (PGE). Polygons representing rock outcrops were digitized in a Geographic Information System (GIS) using georeferenced maps and orthophoto imagery from published reports and field mapping sheets. This is a compilation of both legacy data and outcrops from recent field mapping. This dataset contains overlapping polygons, as some areas had mapping from different sources that overlapped the same locations.

This dataset contains a list of volcanoes, and for each volcano, a list of 5 major and minor rocks, per material (WR = whole rock, GL = volcanic glass, INC = inclusion, all = whole rock + volcanic glass + inclusion), with percentages. A rock is called minor if its percentage is < 10% . Only samples for which FEOT>0, NA2O>0, K2O>0, and 35 < SIO2 < 80 are considered. Rock names are given according to two terminologies: according to the TAS classification (first csv), and according to GVP classification (2nd csv). These datasets were computed using the data from GEOROC (2021), also available in this dataverse, including the manual datasets for Fuji, Merapi and Rinjani. If a sample has two materials (e.g. WR/GL), then by convention we chose the first material. If two rocks have the same percentage, no convention is used to rank them, they are ranked arbitrarily. The dataset uploaded on Dec 19 improves on the previous datasets by separating major and minor rocks, and by giving the percentages. The dataset uploaded on March 20 2023 normalizes by the main oxides instead of normalizing by all oxides.

This U.S. Geological Survey (USGS) data release provides whole rock major, minor, and trace element geochemical data, mineral chemistry, and monazite and xenotime geochronology for Proterozoic rocks in the Needle Mountains of southwestern Colorado and for Proterozoic rocks sampled from drill cores from Colorado, North Dakota, Nevada, Wyoming, Montana, and Nebraska. Samples from the Needle Mountains were collected in order to constrain the polyphase tectonic evolution of the area. Additionally, multi-scale compositional mapping, petrologic modeling and in-situ geochronology constrain the pressure-temperature-time paths from basement gneisses and quartzites. Drill core samples are part of a larger characterization of the age and geochemical character of basement terranes in the United States.

From the site: "Geochemical analysis of rock samples collected and analyzed by the USGS. This dataset includes and supersedes rock data formerly released as "Geochemistry of igneous rocks in the US extracted from the PLUTO database". The database contains 414,304 records."

This data release presents geologic map data for the bedrock geology of the Blanca Peak, Walsenburg, Trinidad, and Alamosa 30' x 60' quadrangles, Colorado. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the bedrock geology; deposits of unconsolidated, surficial materials that are typically, but not exclusively, Quaternary in age, are not included in this database. Bedrock in the context of this database includes all metamorphic, sedimentary, and igneous rocks regardless of age. Bedrock geology is continuous to the extent that map units and structures can ...

This dataset provides geochronologic and geochemical data for selected metasedimentary and associated rock samples collected in the Lane Mountain area about 20 kilometers northeast of Barstow, California. Geochronologic data were obtained for 24 samples, and geochemical data were obtained for 5 of these. The dataset consists of four tables in comma separated values (CSV) format: (1) sample localities and lithology; (2) LA-SF-ICPMS (Laser Ablation Sector Field Inductively Coupled Plasma Mass Spectrometry) U-Pb (uranium-lead) zircon geochronologic data; (3) SHRIMP-RG (Sensitive High-Resolution Ion Microprobe-Reverse Geometry) U-Pb zircon geochronologic data; and (4) whole-rock geochemical data determined by ICP-AES-MS (Inductively Coupled Plasma Atomic Emission Spectroscopy-Mass Spectrometry) and WDXRF (Wavelength Dispersive X-ray Fluorescence).

The Source Rock and Fluids Atlas delivery and publication services provide up-to-date information on petroleum (organic) geochemical and geological data from Geoscience Australia's Organic Geochemistry Database (ORGCHEM). The sample data provides the spatial distribution of petroleum source rocks and their derived fluids (natural gas and crude oil) from boreholes and field sites in onshore and offshore Australian basins. The services provide characterisation of source rocks through the visualisation of Pyrolysis, Organic Petrology (Maceral Groups, Maceral Reflectance) and Organoclast Maturity data. The services also provide molecular and isotopic characterisation of source rocks and petroleum through the visualisation of Bulk, Whole Oil GC, Gas, Compound-Specific Isotopic Analyses (CSIA) and Gas Chromatography-Mass Spectrometry (GCMS) data tables. Interpretation of these data enables the characterisation of petroleum source rocks and identification of their derived petroleum fluids that comprise two key elements of petroleum systems analysis. The composition of petroleum determines whether or not it can be an economic commodity and if other processes (e.g. CO2 removal and sequestration; cryogenic liquefaction of LNG) are required for development.

Petrophysical properties are key to populate numerical models of subsurface process simulations and for the interpretation of many geophysical exploration methods. They are characteristic for specific rock types and may vary considerably as a response to subsurface conditions (e.g. temperature and pressure). Hence, the quality of process simulations and geophysical data interpretation critically depend on the knowledge of in-situ physical properties that have been measured for a specific rock unit. Inquiries for rock property values for a specific site might become a very time-consuming challenge given that such data are (1) spread across diverse publications and compilations, (2) heterogeneous in quality and (3) continuously being acquired in different laboratories worldwide. One important quality factor for the usability of measured petrophysical properties is the availability of corresponding metadata such as the sample location, petrography, stratigraphy, or the measuring method, conditions and authorship. The open-access database presented here aims at providing easily accessible, peer-reviewed information on physical rock properties in one single compilation. As it has been developed within the scope of the EC funded project IMAGE (Integrated Methods for Advanced Geothermal Exploration, EU grant agreement No. 608553), the database mainly contains information relevant for geothermal exploration and reservoir characterization, namely hydraulic, thermophysical and mechanical properties and, in addition, electrical resistivity and magnetic susceptibility. The uniqueness of this database emerges from its coverage and metadata structure. Each measured value is complemented by the corresponding sample location, petrographic description, chronostratigraphic age and original citation. The original stratigraphic and petrographic descriptions are transferred to standardized catalogues following a hierarchical structure ensuring intercomparability for statistical analysis. In addition, information on the experimental set-up (methods) and the measurement conditions are given for quality control. Thus, rock properties can directly be related to in-situ conditions to derive specific parameters relevant for modelling the subsurface or interpreting geophysical data.

This database contains geochemical data created using an X-ray fluorescence spectrometer (XRF). The samples in the dataset are geological samples of rocks and stone tools from archaeological sites. The data was created at the Laboratoire de caractérisation des matériaux archéologiques of the Université de Montréal. Cette base de données contient des données géochimiques créées par un spectromètre de fluorescence aux rayons X. Les échantillons analysés sont des échantillons géologiques de roches et des outils en pierre provenant de sites archéologiques. Les données ont été créées au Laboratoire de caractérisation des matériaux archéologiques de Université de Montréal.

The automation of heavy-duty machinery and vehicles used in underground mines is a growing tendency which requires addressing several challenges, such as the robust detection of rocks in the production areas of mines. For instance, human assistance must be requested when using autonomous LHD (Load-Haul-Dump) loaders in case rocks are too big to be loaded into the bucket. Also, in the case of autonomous rock breaking hammers, oversized rocks need to be identified and located, to then be broken in smaller sections. In this work, a novel approach called Rocky-CenterNet is proposed for detecting rocks. Unlike other object detectors, Rocky-CenterNet uses ellipses to enclose a rock’s bounds, enabling a better description of the shape of the rocks than the classical approach based on bounding boxes. The performance of Rocky-CenterNet is compared with the one of CenterNet and Mask R-CNN, which use bounding boxes and segmentation masks, respectively. The comparisons were performed on two datasets: the Hammer-Rocks dataset (introduced in this work) and the Scaled Front View dataset. The Hammer-Rocks dataset was captured in an underground ore pass, while a rock-breaking hammer was operating. This dataset includes challenging conditions such as the presence of dust in the air and occluded rocks. The metrics considered are related to the quality of the detections and the processing times involved. From the results, it is shown that ellipses provide a better approximation of the rocks shapes’ than bounding boxes. Moreover, when rocks are annotated using ellipses, Rocky-CenterNet offers the best performance while requiring shorter processing times than Mask-RCNN (4x faster). Thus, using ellipses to describe rocks is a reliable alternative. Both the datasets and the code are available for research purposes.

The Geoscience Australia Rock Properties database stores the results measurements of scalar and vector petrophysical properties of rock and regolith specimens. Many are sourced from Geoscience Australia's mapping and research programs, but some are are compiled from published literature, university studies, the resources industry and State/Territory geological surveys. Measured properties include mass density, magnetic susceptibility, magnetic remanence, gamma, electrical conductivity and sonic velocity. The database also records analytical process information such as methods and instrument details wherever possible.

We compile a new geochemical database (Icelandic Volcanic rocks Isotopic Database, IVID) which includes previously reported 87Sr/86Sr, 143Nd/144Nd, 176Hf/177Hf, 206Pb/204Pb, 207Pb/204Pb, 208Pb/204Pb, 187Os/188Os and 3He/4He data and major and trace element concentrations measured in Icelandic volcanic rocks. Isotopic compositions were evaluated, and filtered to identify the highest quality data and data most likely to represent mantle-derived compositions. The carefully filtered, comprehensive geochemical database is an important contribution to the geochemical community and can be used to put further constraints on the generation of geochemical heterogeneity in Iceland. We use the compiled database to examine the spatial distribution of geochemical components in the Icelandic mantle, and test whether melting processes control how source heterogeneity from the deep mantle is extracted on the surface. The PRIMELT software (which combines an inverse model for crystallization in the crust ...

PETROG, AGSO's Petrography Database, is a relational computer database of petrographic data obtained from microscopic examination of thin sections of rock samples. The database is designed for petrographic descriptions of crystalline igneous and metamorphic rocks, and also for sedimentary petrography. A variety of attributes pertaining to thin sections can be recorded, as can the volume proportions of component minerals, clasts and matrix.

PETROG is one of a family of field and laboratory databases that include mineral deposits, regolith, rock chemistry, geochronology, stream-sediment geochemistry, geophysical rock properties and ground spectral properties for remote sensing. All these databases rely on a central Field Database for information on geographic location, outcrops and rock samples. PETROG depends, in particular, on the Field Database's SITES and ROCKS tables, as well as a number of lookup tables of standard terms. ROCKMINSITES, a flat view of PETROG's tables combined with the SITES and ROCKS tables, allows thin-section and mineral data to be accessed from geographic information systems and plotted on maps.

This guide presents an overview of PETROG's infrastructure and describes in detail the menus and screen forms used to input and view the data. In particular, the definitions of most fields in the database are given in some depth under descriptions of the screen forms - providing, in effect, a comprehensive data dictionary of the database. The database schema, with all definitions of tables, views and indexes is contained in an appendix to the guide.

The Engineering Geology Database - Physical and Mechanical Properties of Soils and Rocks (BDGI-WFM) collects data on the physical and mechanical properties of soils and rocks occurring in Poland. BDGI-WFM contains information about the location, date and contractor of the documentation point, the number of samples taken, their category, type and measured parameters, along with an indication of the applicable classification standards.

OZCHEM is Geoscience Australia's national whole-rock geochemical database. This release of OZCHEM contains over 50000 analyses of rocks, regolith and stream sediments from many regions of Australia. Each analysis includes a geographic location and a geological description, which includes the host stratigraphic unit, where known, and the lithology. Most samples have been collected by Geoscience Australia's field parties. OZCHEM is stored in an ORACLE relational database and is available in comma-delimited flat ASCII format. The data set is also bundled with documentation explaining the database structure and includes definitions of the database tables and columns (attributes).

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This digital map database is compiled from unpublished data and new mapping by the authors, represents the general distribution of surficial and bedrock geology in the mapped area. Together with the accompanying pamphlet, it provides current information on the geologic structure and stratigraphy of the area. The database delineates map units that are identified by age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution of the database to 1:24,000 or smaller.

This data release presents geologic map data for the bedrock geology of the Durango 1-degree by 2-degree quadrangle. Geologic mapping incorporates new interpretive contributions and compilation from published geologic map data sources primarily ranging from 1:24,000 to 1:50,000 scale. Much of the geology incorporated from published geologic maps is adjusted based on digital elevation model and natural-color image data sources to improve spatial resolution of the data. Spatial adjustments and new interpretations also eliminate mismatches at source map boundaries. This data set represents only the bedrock geology; deposits of unconsolidated, surficial materials that are typically, but not exclusively, Quaternary in age, are not included in this database. Bedrock in the context of this database includes all metamorphic, sedimentary, and igneous rocks regardless of age. Bedrock geology is continuous to the extent that map units and structures can be appropriately constrained, includin ...

Geochronology is the science of determining the age of rocks, fossils, and sediments and other materials. This database contains geochronologic data in GIS point format for published geochronological dates on Precambrian rocks, acquired and published by the Minnesota Geological along with selected published dates from adjacent. Compiled by the MGS for distribution. The file contains a full reference for each sample. To view the data on the web just click on this link to the Geochronology sample locations with the Minnesota bedrock geology and topography web map.