Source: https://zenodo.org/record/7369478

This data set covers global extraction of coal and metal ores on an individual mine level. It covers 1171 individual mines in 80 different countries, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products, as well as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective source documents. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.

The data set, found in the "data" sub-folder, consists of 12 tables. The table “facilities” contains descriptive and spatial information of mines and processing facilities, and is available as a GeoPackage (GPKG) file. All other tables are available in comma-separated values (CSV) format. If you are working in Excel or have problems handling the GeoPackage file, it can be converted to Excel with an online tool, such as https://mygeodata.cloud/converter/gpkg-to-xlsx.

A schematic depiction of the database is provided in the file database_model.pdf. A description of all variables of all tables is provided in the Excel file variables_descriptions.xlsx, and all materials for which production is reported in the database are listed in the file materials_covered.xlsx.

For convenience, global and national coverage shares for every material and country with recorded production in the database is provided in the file coverage_table.pdf. These coverage shares were calculated by comparing the production values of this database to official production statistics reported in the UNEP IRP Global Material Flows Database, to be found under https://www.resourcepanel.org/global-material-flows-database. For significant raw material producing countries, these coverage shares are also visualised in the file coverage_national_area_charts.pdf.

This data set covers global extraction and production of coal and metal ores on an individual mine level. It covers
1171 individual mines, reporting mine-level production for 80 different materials in the period 2000-2021. Furthermore, also data on mining coordinates, ownership, mineral reserves, mining waste, transportation of mining products, as well
as mineral processing capacities (smelters and mineral refineries) and production is included. The data was gathered manually from more than 1900 openly available sources, such as annual or sustainability reports of mining companies. All datapoints are linked to their respective sources. After manual screening and entry of the data, automatic cleaning, harmonization and data checking was conducted. Geoinformation was obtained either from coordinates available in company reports, or by retrieving the coordinates via Google Maps API and subsequent manual checking. For mines where no coordinates could be found, other geospatial attributes such as province, region, district or municipality were recorded, and linked to the GADM data set, available at www.gadm.org.

The data set consists of 12 tables. The table “facilities” contains descriptive and spatial information of mines and processing facilities, and is available as a GeoPackage (GPKG) file. All other tables are available in comma-separated values (CSV) format. A schematic depiction of the database is provided as in PNG format in the file database_model.png.

Materials database of Curie and Néel magnetic phase transition temperatures.

Each record contains a field indicating the type of phase transition (Curie or Néel), a compound or label, extracted and normalised values and units, the article title, journal, DOI, and authors of the source article. Furthermore, if the record was retrieved using the modified Snowball quaternary relationship extraction stage, the record contains the associated confidence score.

The database can be downloaded in MongoDB, CSV or JSON formats.

This is a condensed version of HTEM database downloaded via HTEM API from National Renewable Energy Laboratory. Due to network constraints, all entries without XRD entries are discarded.

Dataset Overview

The index file contains experiment conditions of 1400+ experiments performed by the high-throughput experiment platform in NREL. Each experiments contains 44 samples, whose associated data are stored in the samples folder. The 44 samples in each experiment all have different thin film thickness and composition. Depending on the experiment setup, the sample data files may contain data from X-ray Fluorescence (thin film composition), X-ray Diffraction (crystalline structure), electronic measurement (thin film conductivity), and optical spectra (light absorption).

This dataset provides a complete record of experimental condition, structural characterization, and properties measurement, making it a valuable resource for data-mining for a better understanding of complex process-structure-property relationships in thin film materials.

Please cite: A. Zakutayev, N. Wunder, M. Schwarting, J. D. Perkins, R. White, K. Munch, W. Tumas and C. Phillips, Sci Data 5, 180053 (2018).

We propose a named entity recognition model for material text, called SciBERT-Fasttext-BiLSTM-CRF (SFBC). We used this model to identify named entities from texts in the stainless steel scientific literature and shared data on the frequency of occurrence of selected entities in this database between 2012 and 2021. By analysing the data in this dataset, researchers are able to understand the top research trends in stainless steel materials over the last decade.

Slides of the talk "Using data mining to identify new research avenues", given by Adam Stevenson at the NSF Ceramics Workshop on September 12, 2016.

As semiconductor devices are miniaturized, the importance of atomic layer deposition (ALD) technology is growing. When designing ALD precursors, it is important to consider the melting point, because the precursors should have melting points lower than the process temperature. However, obtaining melting point data is challenging due to experimental sensitivity and high computational costs. As a result, a comprehensive and well-organized database for the melting point of the OMCs has not been fully reported yet. Therefore, in this study, we constructed a database of melting points for 1,845 OMCs, including 58 metal and 6 metalloid elements. The database contains CAS numbers, molecular formulas, and structural information and was constructed through automatic extraction and systematic curation. The melting point information was extracted using two methods: 1) 1,434 materials from 11 chemical vendor databases and 2) 411 materials identified through natural language processing (NLP) techniques with an accuracy of 86.3%, based on 2,096 scientific papers published over the past 29 years. In our database, the OMCs contain up to around 250 atoms and have melting points that range from −170 to 1610 °C. The main source is the Chemsrc database, accounting for 607 materials (32.9%), and Fe is the most common central metal or metalloid element (15.0%), followed by Si (11.6%) and B (6.7%). To validate the utilization of the constructed database, a multimodal neural network model was developed integrating graph-based and feature-based information as descriptors to predict the melting points of the OMCs but moderate performance. We believe the current approach reduces the time and cost associated with hand-operated data collection and processing, contributing to effective screening of potentially promising ALD precursors and providing crucial information for the advancement of the semiconductor industry.

Malta Imports from Denmark of Worked Vegetable or Mineral Carving Materials was US$822 during 2023, according to the United Nations COMTRADE database on international trade. Malta Imports from Denmark of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on May of 2026.

Panama Imports from Mexico of Worked Vegetable or Mineral Carving Materials was US$36.62 Thousand during 2025, according to the United Nations COMTRADE database on international trade. Panama Imports from Mexico of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on May of 2026.

Applications shows results of SQL query to Minerals Occurrence database.

The following data was used in the paper "Schiller & Roscher (2023). Impact of Urbanization on construction material consumption: A global analysis" to calculate material consumption of non-metallic mineral construction materials.

This dataset provided data on the extraction of mineral construction materials that are used for further processes. The data represent the extraction of raw materials from the environment by country. They are based on reported data on the one hand and estimated data on the other. The specific assumptions and factors for the estimates can be found in Krausmann et al. (2009). Growth in global material use, GDP and population during the 20th century. Ecological Economics 68(10) 2696-2705. doi: 10.1016/j.ecolecon.2009.05.007. In the MFA methodology, some categories of materials are defined as "unused extraction" because they are not economically used or further processed. For example, unused materials include overburden from mining activities and unused residues from biomass extraction (OECD, 2008). These are not included in presented data.

The following materials belong to the group of construction minerals: asphalt, chert and flint, common clay, clay for bricks etc., crushed stone, igneous rock, lava sand, limestone, marl, shell, loam, marble, travertines, sand and gravel, sandstone, slate and turfaceous rock (see Lutter, S., Lieber, M., & Giljum, S. (2016). Global Materialflow database. Material extraction data. Technical Report, Version 2015.1. retrieved February 2018 from www.materialflows.net). The status of the given data is spring 2018 and was downloaded from www.materialflows.net at this time. Due to restructuring of the website, 2018 data is no longer available online. Current data on material extraction and consumption can be found on United Nations Environment Programme, International Resource Panel (IRP). (2023). Global Material Flows Database. https://www.resourcepanel.org/global-material-flows-database.

Peru Imports from Colombia of Worked Vegetable or Mineral Carving Materials was US$1.36 Million during 2024, according to the United Nations COMTRADE database on international trade. Peru Imports from Colombia of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Moldova Imports from Italy of Worked Vegetable or Mineral Carving Materials was US$2.68 Thousand during 2025, according to the United Nations COMTRADE database on international trade. Moldova Imports from Italy of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Armenia Imports from Russia of Worked Vegetable or Mineral Carving Materials was US$516.02 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Armenia Imports from Russia of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Netherlands Imports from China of Worked Vegetable or Mineral Carving Materials was US$11.53 Million during 2025, according to the United Nations COMTRADE database on international trade. Netherlands Imports from China of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Italy Imports from Switzerland of Worked Vegetable or Mineral Carving Materials was US$1.02 Million during 2025, according to the United Nations COMTRADE database on international trade. Italy Imports from Switzerland of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on May of 2026.

Chile Imports from Vietnam of Worked Vegetable or Mineral Carving Materials was US$212 during 2022, according to the United Nations COMTRADE database on international trade. Chile Imports from Vietnam of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on March of 2026.

Georgia Imports from Turkey of Worked Vegetable or Mineral Carving Materials was US$256 during 2024, according to the United Nations COMTRADE database on international trade. Georgia Imports from Turkey of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Montenegro Imports from China of Worked Vegetable or Mineral Carving Materials was US$2.39 Thousand during 2024, according to the United Nations COMTRADE database on international trade. Montenegro Imports from China of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.

Jamaica Imports from Colombia of Worked Vegetable or Mineral Carving Materials was US$4.67 Thousand during 2022, according to the United Nations COMTRADE database on international trade. Jamaica Imports from Colombia of Worked Vegetable or Mineral Carving Materials - data, historical chart and statistics - was last updated on April of 2026.