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Publication speed, impact, uncited share, self-citation, retractions and scale for Asian Journal of Materials Science and Journal of Mining and Geology, each metric with its unit and which direction is better.
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TwitterThe map service (WMS group) presents the digital map basics from the field of geology of the Saarland.:The map of near-surface raw materials 1: 50 000 (KOR 50) mining areas represent the distribution of usable industrial minerals, stones and earths and form the data basis for the map of near-surface raw materials 1:200 000 of the Federal Republic of Germany.
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Publication speed, impact, uncited share, self-citation, retractions and scale for Mining Technology: Transactions of the Institute of Materials, Minerals and Mining Section A and Journal of Mining and Geology, each metric with its unit and which direction is better.
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Survey data on the structure of raw materials education worldwide. Asking for skills, knowledge, topics, languages, countries, institutions. almost 200 answers.
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Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
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Since the end of the 1980ies the geological, areal and production data of operating mining sites have been
collected systematically by LGRB. The periodic update of this information is carried out every four or five years. Main reasons
are 1) the preparation of the periodic follow-up of the 12 regional development plans, 2) the work on the near-surface mineral
raw material maps published by LGRB, and 3) the periodical editing of the state report for near-surface mineral raw materials
published by LGRB at the start of each new election period.
The geological data include a detailed documentation of the thickness,
petrography and quality of mined rock(s) and the overburden as well as geochemical data gained from rock samples.
The areal
data refer both to the permitted mining area (zones of recultivation, work and expansion) and to possible areas for the mine
expansion (the latter are confidential). Due to the quick spatiotemporal variability of these data, here all mining sites
are shown as point data.
The confidential annual production data are the basis for the periodic raw material report.
In
addition, another data are collected, e.g. for the mining permission, the delivery area and the subsequent land use.
All
these data are stored in the mining site database of the LGRB (Rohstoffgewinnungs-stellendatenbank = RGDB). This one comprises
also the data for abandoned mining sites and mines. In total, actual (2021) about 14.000 data records are stored.
The name
of each mining site (e.g. RG 6826-3) consists of three parts. RG is the abbreviation for "Rohstoffgewinnungsstelle". the
following four-digit number means the number of the relevant topographic map 1 : 25.000. The last number means the serial
number of the mining site; serial numbers 1-99 mark operating mining sites gathered since the end of the 1980ies ( (today
partially already closed) , such > 100 mark abandoned mining sites collected before 1980 and such > 300 mark data of mining
sites and mines collected in the course of actual raw material mapping.
The mintell4eu data set comprises all mining
sites with serial numbers 1-99. In addition, the most important abandoned mines of former or probably still ongoing economic
importance.
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Supplementary Materials for "In-Situ Leaching in Fractured Sulfide-Bearing Rocks: A Digital Rock Assessment". Specimens in 360° Rotation
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Output, citations, h-index, reach, spread and citation timing for Materials Engineering, Worcester Polytechnic Institute and Geology, China University of Mining and Technology, each measure with its unit.
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This service provides data for the INSPIRE topic geology from near-surface raw material mining areas, the State Office for Environmental and Occupational Safety.
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MIN4EU DB Mining Waste - consists of mining waste data. This inventory covers mining wastes deposits (also called anthropogenic mineral occurrences) in Europe (onshore). This data presents general information, location of deposits, waste type and quantitative data (volume, tonnages, areas and ore grades). Given the dynamic nature of such data, regular updates of comprehensive, reliable and harmonized information across borders are required, as there are several sources of non-harmonized data with different coverages developed over the last decades by national and international projects for different purposes. Data have been prepared and collected in the projects ProMine, Minerals4EU, ProSUM, ORAMA, RESEERVE, MINTELL4EU, GSEU and FutuRaM and others and are shared in the European Geological Data Infrastructure (EGDI) and Urban Mine Platform. The following countries: Ireland, France, Germany, Sweden, Norway, Finland, Slovenia, Spain, Portugal, Romania, Cyprus, Ukraine, Czech Republic, Austria, Hungary, Croatia, Serbia, Bosnia, North Macedonia, Albania, Kosovo.
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Open dataset contains basic information on all registered reserved mineral deposits (B) and approved prognosticated mineral resources of reserved (P) and non-reserved (R) minerals in the territory of the Czech Republic. The Ministry of the Environment issues a certificate of reserved deposit if a reserved mineral is found in quantity and quality that allow its accumulation to be reasonably expected. The data of subregisters B, P, R are part of the Raw Materials Information System (SurIS) of the Czech Geological Survey.
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This dataset contains mercury intrusion porosimetry (MIP) and X-ray Diffraction (XRD) data of Permian carbonaceous shale from Southwest China, collected under controlled oxalic acid corrosion conditions. It aims to support mechanistic studies on the coupled chemical-mechanical degradation of carbonaceous shale weak interlayers—critical geohazard drivers in the region—by linking mineral dissolution and microstructural evolution. The data were obtained from shale samples exposed to oxalic acid solutions at concentrations of 0.005, 0.011, and 0.268 mol/L (plus a distilled water control) for 7, 14, and 21 days, capturing changes in mineral composition (e.g., calcite, illite) and pore-structure parameters (e.g., pore size distribution). This dataset enables validation of multi-scale kinetic models and informs sustainable geohazard mitigation strategies by quantifying the link between acid corrosion and shear strength degradation.
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The Critical Minerals in Archived Mine Samples Database (CMDB) contains chemistry and geologic information for historic ore and ore-related rock samples from mineral deposits in the United States. In addition, the database contains samples from archetypal deposits from 27 other countries in North America, South America, Asia, Africa and Europe. Samples were obtained from archived ore collections under the U.S. Geological Survey's project titled Quick Assessment of Rare and Critical Metals in Ore Deposits: A National Assessment (2008 to 2013) in an effort to begin an assessment of the Nations' previously mined ore deposits for critical minerals. Mineralized and altered rock samples were provided by the Colorado School of Mines Ransome collection, Mackay School of Mines Stanford and Keck collections, and by the personal collections of Don Bryant and David Leach.
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TwitterMineral Land Classification studies are produced by the State Geologist as specified by the Surface Mining and Reclamation Act (SMARA, PRC 2710 et seq.) of 1975. To address mineral resource conservation, SMARA mandated a two-phase process called classification-designation. Classification is carried out by the State Geologist and designation is a function of the State Mining and Geology Board. The classification studies contained here evaluate the mineral resources and present this information in the form of Mineral Resource Zones. The objective of the classification-designation process is to ensure, through appropriate local lead agency policies and procedures, that mineral materials will be available when needed and do not become inaccessible as a result of inadequate information during the land-use decision-making process.
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Since 1999, the Geologic Survey of Baden-Württemberg publishes a statewide geological map series 1 : 50 000 "Karte der mineralischen Rohstoffe 1 : 50 000 (KMR 50)". On it, the distribution of near-surface mineral raw material prospects and occurrences (mainly) and deposits (subordinate) is shown. This continuously completed and updated map currently covers around 60% of the federal state. It is the base for the regional associations in the task of mineral planning.
The prospects and occurrences are classified according to different raw material groups (e.g. raw material for crushed stone (limestone, igneous rocks, metamorphic rocks, sand and gravel), raw materials for cement, dimension stone, high purity limestone, gypsum ...). Their spatial delineation is based on various group-specific criteria such as minimum workable thickness, minimum resources, ratio overburden/workable thickness, and so on. It is assumed that they contain deposits as a whole or in parts. In the vast majority of cases, the data is not sufficient for the immediate planning of mining projects, but it does facilitate the selection of exploration areas.
The name of each area (e.g. L 6926-3) consists of three parts. L = roman rnumeral fo 50, 6926 = sheet number of the topographic map 1 : 50 000, 3 = number of the area/mineral occurrence shown on this sheet.
Co-occurring land-use conflicts, e.g. water protection areas and nature conservation areas, forestry and agriculture, are not taken into account in the processing of KMR 50. Their assessment is the task of land use planning, the licensing authorities and the companies interested in mining.
The data is stored in the statewide raw material area database "olan-db" of the LGRB.
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TwitterMineral Land Classification studies are produced by the State Geologist as specified by the Surface Mining and Reclamation Act (SMARA, PRC 2710 et seq.) of 1975. To address mineral resource conservation, SMARA mandated a two-phase process called classification-designation. Classification is carried out by the State Geologist and designation is a function of the State Mining and Geology Board. The classification studies contained here evaluate the mineral resources and present this information in the form of Mineral Resource Zones. The objective of the classification-designation process is to ensure, through appropriate local lead agency policies and procedures, that mineral materials will be available when needed and do not become inaccessible as a result of inadequate information during the land-use decision-making process.
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TwitterThis Downloadservice contains point locations of near-surface mineral raw material occurrences and mining sites in Baden-Württemberg (BW), which is one of 16 states of the Federal Republic of Germany. The information is harmonized according to the specifications of the MIN4EU database model as part of the Mintell4EU project.
BW is rich in near-surface mineral raw materials. The most important are 1) Quaternary sands and gravels (Upper Rhine Graben Valley and glacial sediments of Upper Swabia), 2) Paleozoic rocks (mainly metamorphic rocks and granites, minor Permian volcanic rocks) in the Black Forest and the Odenwald, and 3) Middle Triassic (Southwest German scarplands) and Upper Jurassic (Swabian Alb) limestones.
The deep-lying raw materials (various gangue ores, barite, fluorite, uranium ores), which were mined mainly in the Black Forest, are currently of no importance, with the exception of the still ongoing extraction of barite and fluorite in the Clara mine. In the future, some deposits could regain importance as raw material prices rise.
Almost 100 million tons of mostly near-surface mineral raw materials are extracted annually in BW in currently about 500 mining sites (survey year: 2017). The annual raw material consumption is approx. 9 tons/inhabitant. At the beginning of the 2000s, there were still around 630 mining sites. This decline is due to both concentration processes and depletion of deposits. Since the end of the 1980ies the geological, areal and production data of operating mining sites have been collected systematically by LGRB. They are the basis for the periodic raw material report edited by LGRB and for the calculation of the need of mineral raw materials. Manly these pits, beside some important historic mines, are shown in the layer "MIN4EU LGRB-BW: mining sites - harmonized dataset".
Another important task of the LGRB is to advise the regional planning authorities on securing mineral raw material supply. Beside the calculation of the need of mineral raw materials supply for the two planning periods (2 x 15 or 2x 20 years), the knowledge of mineral occurrences of proven or estimated economic value is important. After some preliminary stages, the LGRB is producing the Map of Mineral Resources in Baden-Württemberg 1 : 50,000 (KMR 50) as a basis and planning map for this purpose. On it, the distribution of near-surface mineral raw material prospects and occurrences (mainly) and deposits (subordinate) is shown. This continuously completed and updated map currently covers actually around 60% of the federal state. These occurrences are the topic of the second layer theme "MIN4EU LGRB-BW: near-surface mineral raw material occurrences - harmonized dataset".
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Supplementary Materials for Specimens 360 Degree Rotation
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This dataset is a generated representation of an open-pit mining block model, designed to reflect realistic geological, spatial, and economic conditions found in large-scale mineral extraction projects. It contains 75,000 individual blocks, each representing a unit of earth material with associated attributes that influence decision-making in mine planning and resource evaluation.
The dataset includes essential parameters such as ore grade, tonnage, economic value, and operational costs. A calculated profit value and a corresponding binary target label indicate whether a block is considered economically viable for extraction. This setup supports various types of analysis, such as profitability assessments, production scheduling, and resource categorization.
🔑 Key Features Block_ID: Unique identifier for each block in the model.
Spatial Coordinates (X, Y, Z): 3D location data representing the layout of the deposit.
Rock Type: Geological classification of each block (e.g., Hematite, Magnetite, Waste).
Ore Grade (%): Iron content percentage for ore-bearing blocks; set to 0% for waste.
Tonnage (tonnes): Total mass of the block, used in volume and value calculations.
Ore Value (¥/tonne): Estimated revenue based on grade and market assumptions.
Mining Cost (¥): Estimated extraction cost per block.
Processing Cost (¥): Cost associated with refining ore-bearing blocks.
Waste Flag: Indicates whether a block is classified as waste material (1 = Waste, 0 = Ore).
Profit (¥): Net value after subtracting mining and processing costs from potential revenue.
Target: Label indicating whether a block is economically profitable (1 = Yes, 0 = No).
This dataset is ideal for applications related to mineral resource evaluation, production planning, and profitability analysis. It can also be used for teaching and demonstration purposes in mining engineering and resource management contexts.
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The Service géologique du Luxembourg (Geological Survey of Luxembourg) SGL, a division of the Administration des ponts et chaussées (Roads and bridges administration), collects information about past and current mineral resource occurrence and extraction sites in Luxembourg. This information is assembled in a spatial database (about 800 records). The majority of these are building and dimension stone quarries (sandstone, limestone) and iron ore mines. Accessorily, there are slate quarries and a few other metallic ore mines. In the context of MINTELL4EU, about 550 validated records on quarries, gravel pits and mines were extracted and harmonized according to the MINTELL4EU guidelines.
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URL: https://geoscience.data.qld.gov.au/dataset/ds000074
The Strategic Resources Exploration Program (SREP) was proposed to expand resource exploration and development for base metals and gas in North West Queensland. SREP forms a key component of the Strategic Blueprint for Queensland's North West Minerals Province, supporting exploration for the next round of mineral deposits to ensure economic longevity and community resilience in the North West. The program was active from 2017-2021.
Key outcomes of the SREP included:
Camooweal Deep Seismic - 2D seismic survey conducted in 2019 with a primary aim to improve understanding of basin architecture underlying the area and to provide data in an area with limited exploration.
Geochemistry Tool Kit - The Geochemistry tool kit reviews a range of techniques to enhance geochemical exploration practice and encourage exploration in north-west Queensland
The Domain Map of Northwest Queensland - A compendium to the Geochemistry Tool Kit that includes an updated Depth to Basement model and GIS of the geochemical domains
Mineral Chemistry for Mineral System Geochemical Vectoring - Undertaken by the Centre for Ore Deposit and Earth Sciences (CODES) in collaboration with the Geological Survey of Queensland, the first systematic study of the trace element chemistry of a suite of common hydrothermal minerals from mineralisation and alteration of many Iron Oxide Copper-Gold (IOCG) deposits in Queensland, including Ernest Henry, SWAN and Starra as well as sediment-hosted Cu deposits in the western Mount Isa Province.
Hydrogeochemistry of Undercover Areas in the Eastern Mount Isa Province - Review of the mineral prospectivity of the eastern Mt Isa Block using groundwater geochemistry, defining new areas of interest requiring further investigation.
https://gsq-prod-ckan-horizon-public.s3.ap-southeast-2.amazonaws.com/Dataset/DS000074/SREP_Datasets.jpg" alt="Map of SREP Dataset locations in North West Queensland">
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Publication speed, impact, uncited share, self-citation, retractions and scale for Asian Journal of Materials Science and Journal of Mining and Geology, each metric with its unit and which direction is better.