Find research datasets worth reusing

opencc-by-4.0Jun 2017View details →

Landslides from Space - Amyntaio Lignite Coal Mine Landslide (10th June 2017)

On Saturday, 10th of June 2017 a massive landslide occurred in a lignite pit in Amyntaio, Greece. It buried 25 million tons lignite worth about 500 Million Euro and caused the permanent evacuation of Anargyroi, a village nearby. The pre-event acquisition is from 1st June 2017 (Sentinel-2) and the post-event acquisition is from 24th June 2017 (Sentinel-2). A false colour composite with near-infrared, red and green band is visualised as RGB image. Contains modified Copernicus Sentinel data (2017)

opencc-by-4.0Sep 2022View details →

COALMOD-World 2.0 data, results, figures for: Stranded assets and early closures in global coal mining under 1.5°C

This dataset contains all COALMOD-World 2.0 data for Hauenstein (2023): Stranded assets and early closures in global coal mining under 1.5°C (doi.org/10.1088/1748-9326/acb0e5)  With the input data files and the GAMS scenario file the model (https://doi.org/10.5281/zenodo.7077678) can be run to reproduce the model results. Furthermore, the output.zip folder contains the results file, the R code to compile the figures, and PDFs of the figures.

opencc-by-4.0Jun 2024View details →

Supporting Movies from: Seismo-acoustic observations of crashing ocean waves: Investigating surf monitoring at Coal Oil Point Reserve, Santa Barbara, California

<div> <div> <div> This repository includes supplementary movies from the manuscript titled, "Seismo-acoustic observations of crashing ocean waves: Investigating surf monitoring at Coal Oil Point Reserve, Santa Barbara, California," submitted to the Journal of Geophysical Research: Solid Earth.   Movies S1 and S2. These two movies taken during array deployment 4 on October 20, 2023 show the NW tip of Coal Oil Point at the left of the field of view and Sands Beach northwest of that toward the right. Frames have the same figure layout as Figure 4 of the main text. Movie S3. Same as Movies S1 and S2 but with the NW tip of Coal Oil Point at the right of the field of view and Devereux Beach southeast of that toward the left. </div> </div> </div>

opencc-by-4.0Aug 2019View details →

Supplementary data to "Three scenarios for coal power in Vietnam"

This dataset includes the history of coal power generation in Vietnam, listing generation units capacity, creation date, and current status up to March 2019. It defines three scenarios for the future. “Blazing up” corresponds to the power development plan 7 revised and updated as of March 2019. “Closed window” tells what we think would happen under pure market forces. “Coal peak” tells what could happen if the State continues to steer the electricity system into the energy transition, decisively and without imposing high costs to stakeholders. Corresponds to Table 2 and 3 in the manuscript. #VIETSE

opencc-by-4.0Nov 2022View details →

Open database on global coal and metal mine production

See also the associated Data Descriptor published in Nature Scientific Data: <a href="https://www.nature.com/articles/s41597-023-01965-y">www.nature.com/articles/s41597-023-01965-y</a> 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 <a href="https://www.gadm.org">www.gadm.org</a>. 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 <a href="https://mygeodata.cloud/converter/gpkg-to-xlsx">https://mygeodata.cloud/converter/gpkg-to-xlsx</a>. 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 <a href="https://www.resourcepanel.org/global-material-flows-database">https://www.resourcepanel.org/global-material-flows-database</a>. For significant raw material producing countries, these coverage shares are also visualised in the file coverage_national_area_charts.pdf.

opencc-by-4.0Jan 2023View details →

Data set of German coal power stations for coal phase out auctions

This repository contains the coal power station data set used in the paper "Auctions to phase out coal power: Lessons learned from Germany" by Silvana Tiedemann and Finn Müller-Hansen, published in Energy Policy in 2023. All details about the data set are provided in the readme.md.

opencc-by-4.0Apr 2022View details →

COALMOD-World 2.0 data, results, figures for: Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin

This dataset contains all COALMOD-World 2.0 data for Hauenstein et al. (2023): New coal mines in the Australian Galilee Basin are not economically viable and are prone to become stranded assets (doi.org/10.1016/j.oneear.2023.07.005). With the input data files and the GAMS scenario file the model (https://github.com/chauenstein/COALMOD-World_v2.0) can be run to reproduce the model results. Furthermore, the output.zip folder contains the results file, the R code to compile the figures, and PDFs of the figures.

opencc-by-4.0Sep 2020View details →

Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework

Dataset for "Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework"

opencc-by-4.0Oct 2023View details →

Macroseismic intensity data points for shallow 20th century earthquakes in the Hainaut coal area and the 1983 Liège earthquake (Belgium)

This dataset contains macroseismic data points and source parameters for 28 shallow 20th-century earthquakes in the Hainaut area, as well as for the 1983-11-08 Liège earthquake, all in Belgium. For each earthquake, there is 1 CSV-file containing minimum and maximum evaluated macroseismic intensity, latitude, longitude, commune name, epicentral distance and azimuth. The source parameters (origin time, epicentral coordinates, hypocentral depth, magnitude, maximum intensity, macroseismic radius and number of observations) are listed in a XLSX file. The ID_EARTH column in this file corresponds to the first part of the CSV filenames. The most significant difference with respect to the original dataset is an update of the coordinates of several Belgian localities that are used to locate the IDPs, resulting mainly in insignificant changes (<1 km difference for 96% of the IDPs used here), but a few outliers up to a difference of 22 km occur as well. This can result in significantly higher or lower epicentral distances for a few IDPs. Other adjustments to the data include the addition of intensity 1 values (not felt) and the removal, addition or modification of some IDPs (>20 IDPs in total). For the 1983 Liège earthquake (ID_EARTH=651), more significant changes were made to the IDP dataset as part of a major update of the ROB traditional macroseismic database, such as the addition of 297 new IDPs (~90% not felt), the modification of intensity values of 19 IDPs and the removal of 3 IDPs that were previously assigned to the wrong municipality.

Figure 4 in Two new species of megasporangiate Sigillariostrobus Schimper (Sigillariostrobaceae) fructifications from the British Coal Measures

Figure 4. Sigillariostrobus barkeri sp. nov. No. 1971.I28, Barker collection, Sheffield City Museum, from the shales above the Shafton Coal, Brierly Colliery, Yorkshire (top of the Similis-Pulchra Zone, Bolsovian, Moscovian). (a) The remains of the cone showing the arrangement of the megaspores (scale bar 10 mm). (b) Camera lucida drawing of the cone in (a) (scale bar 10 mm). (c) Macerated in situ megaspore assigned to Tuberculatisporites mamillarius (Bartlett) Potonié and Kremp (scale bar 500 µm). (d) Contact face of the in situ megaspore (scale bar 150 µm). (e) Apiculi on the distal surface of the in situ megaspore (scale bar 10 µm). Figure previously published by Thomas (1980).

Figure 3 in Two new species of megasporangiate Sigillariostrobus Schimper (Sigillariostrobaceae) fructifications from the British Coal Measures

Figure 3. Second cone of Sigillariostrobus saltwellensis sp. nov. Specimen Pb. 707, Hunterian Museum, Glasgow. (a) The cone (scale bar 20 mm). (b) Detail of the upper part of the cone (scale bar 5 mm). (c) Detail of the mid-region of the cone, showing the megasporophyll impressions at the edge of the cone, often without the cuticle preserved (scale bar 5 mm). (d) Detail of (c), showing the megasporophylls with fissile compression and scattered megaspores (scale bar 5 mm). (e) Detail of (d), showing details of megaspores within the cone (scale bar 2 mm). (f) Megaspore referable to Laevigatisporites glabratus macerated from the spore mass shown in (e) (scale bar 2000 µm).

Figure 1. Sigillariostrobus fructification with only a in Two new species of megasporangiate Sigillariostrobus Schimper (Sigillariostrobaceae) fructifications from the British Coal Measures

Figure 1. Sigillariostrobus fructification with only a few basal sporophylls (lower arrow), having shed most of its sporophylls exposing the upper part of the axis (upper arrow) as illustrated by Kidston (1897) (scale bar 50 mm). From the Kidston Collection at the British Geological Survey. Catalogue number: P686530. Reproduced with permission of the British Geological Survey ©NERC. All rights reserved.

Figure 2 in Two new species of megasporangiate Sigillariostrobus Schimper (Sigillariostrobaceae) fructifications from the British Coal Measures

Figure 2. Type specimen of Sigillariostrobus saltwellensis sp. nov. Specimen Pb. 53-C.203, Hunterian Museum, Glasgow. Alluvial coalbearing facies – upper Langsettian–Duckmantian. (a) Cone (scale bar 10 mm). (b) Detail of apical portion of the cone (scale bar 5 mm). (c) Detail of basal portion of the cone (scale bar 5 mm). (d) In situ glabrous megaspores (scale bar 2 mm). (e) Spore referable to Laevigatisporites glabratus macerated from the cone (scale bar 1000 µm).

opencc-by-4.0Mar 2024View details →

The Global and National Energy Systems Techno-Economic (GNESTE) Database: Economic and performance data for coal power in current and future electricity systems

Here, we present a database which collates historical, current, and future cost and performance data and assumptions for coal-fired power generation from the open literature. Coal supplies 35% of global electricity, but must be rapidly phased down to meet global decarbonisation objectives. The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 345 datapoints from 12 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability over time. Technoeconomic data on new-build coal-fired power generation was collected from websites, reports, academic articles and databases of national and international organisations.

Table 1 in Two new species of megasporangiate Sigillariostrobus Schimper (Sigillariostrobaceae) fructifications from the British Coal Measures

Table 1. Morphological comparison of Sigillariostrobus cones with in situ spores referable to Laevigatisporites glabratus.<table><tbody><tr><th></th><th>S. tieghemi</th><th>S. quadrangularis (Les-</th><th>S. czarnockii Bochen-</th><th>S. leiosporous Abbott,</th><th>Sigillariostrobus</th></tr></tbody><tbody><tr><th></th><td>Zeiller, 1884</td><td>quereux) White, 1903</td><td>ski, 1936</td><td>1963</td><td>saltwellensis sp.</td></tr><tr><th></th><td></td><td></td><td></td><td></td><td>nov.</td></tr><tr><th>Cone size</th><td>160 mm long</td><td>Up to 160 mm long, av-</td><td>ca. 180 mm long, 17–</td><td>Up to 180 mm long,</td><td>At least 86 mm</td></tr><tr><th></th><td>25–50 mm</td><td>erage width 11.6 mm</td><td>25 mm broad</td><td>20 mm broad</td><td>long, 17–20 mm</td></tr><tr><th></th><td>broad</td><td></td><td></td><td></td><td>broad</td></tr><tr><th>Cone axis</th><td></td><td>1 mm</td><td>7–8 mm</td><td>4–7 mm</td><td>1.2 mm</td></tr><tr><th>Sporophyll</th><td>Alternating</td><td>In whorls</td><td>Helical with sporo-</td><td>Alternating verticils</td><td>Helical</td></tr><tr><th>arrangement</th><td>whorls with</td><td></td><td>phylls lying above one</td><td>of 4–5 sporophylls;</td><td></td></tr><tr><th></th><td>8–10 per whorl</td><td></td><td>another</td><td>3–4 mm between</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>verticils</td><td></td></tr><tr><th>Sporophyll</th><td>With prominent</td><td>Sporophyll laminae</td><td>Sporophylls 20–25 mm</td><td>Pedicels: 5–7 mm long,</td><td>Laminae ca.</td></tr><tr><th>shape</th><td>heel</td><td>9 mm long</td><td>long; upper part</td><td>1 mm broad at attach-</td><td>6.5 mm long,</td></tr><tr><th></th><td></td><td></td><td>sharply pointed with a</td><td>ment point, widening to</td><td>spreading out-</td></tr><tr><th></th><td></td><td></td><td>hollowed-out deltoid</td><td>4 mm</td><td>wards from</td></tr><tr><th></th><td></td><td></td><td>shape, margin ciliate.</td><td>Laminae: broadly</td><td>cone</td></tr><tr><th></th><td></td><td></td><td></td><td>triangular, acuminate,</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>5–8 mm long, 4–6 mm</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>broad, margin ciliate</td><td></td></tr><tr><th>Sporangia</th><td>None observed</td><td>4 mm long, 5 mm high,</td><td>4–7 mm long, breadth</td><td>4–5 mm long, 2 mm</td><td>7 mm long,</td></tr><tr><th></th><td></td><td>4 mm broad</td><td>2–4.5 mm;</td><td>high, 4–4.5 mm wide;</td><td>2.5 mm high</td></tr><tr><th></th><td></td><td></td><td>contain three tetrads of</td><td>contains one tetrad of</td><td></td></tr><tr><th></th><td></td><td></td><td>megaspores</td><td>megaspores</td><td></td></tr><tr><th>Peduncle</th><td>Acicular leaves</td><td>None observed</td><td>At least 40 mm long</td><td>At least 65 mm long</td><td>None observed</td></tr><tr><th></th><td>or bracts</td><td></td><td>and 7–8 mm broad,</td><td>and 2–5 mm broad,</td><td></td></tr><tr><th></th><td>attached to the</td><td></td><td>uppermost 30 mm with</td><td>covered with minute</td><td></td></tr><tr><th></th><td>upper portion</td><td></td><td>long, triangular and</td><td>stiff spines up to 1 mm</td><td></td></tr><tr><th></th><td></td><td></td><td>pointed sterile leaves</td><td>long</td><td></td></tr><tr><th></th><td></td><td></td><td>25 mm long and 25 mm</td><td></td><td></td></tr><tr><th></th><td></td><td></td><td>wide at the base</td><td></td><td></td></tr><tr><th>Age and</th><td>Age unknown,</td><td>Brazil Formation,</td><td>Duckmantian, Upper</td><td>Upper Freeport (no.</td><td>Upper Langsettian–</td></tr><tr><th>locality</th><td>Valenciennes,</td><td>Upper Pottsville,</td><td>Silesian Basin, Poland</td><td>7) Coal Allegheny,</td><td>Duckmantian</td></tr><tr><th></th><td>France</td><td>Duckmantian/</td><td></td><td>mid-Pennsylvanian,</td><td></td></tr><tr><th></th><td></td><td>Bolsovian</td><td></td><td>Bolsovian/Asturian,</td><td></td></tr><tr><th></th><td></td><td>Indiana, USA</td><td></td><td>southeastern Ohio,</td><td></td></tr><tr><th></th><td></td><td></td><td></td><td>USA</td><td></td></tr></tbody></table>

opencc-by-4.0Jul 2024View details →

Model Inputs and Results - The role of coal plant retrofitting strategies in decarbonizing India's power system

These files are the model inputs and results for the submission based on GenX version v0.3.6 - The role of coal plant retrofitting strategies in decarbonizing India’s power system

opencc-by-4.0Jan 2022View details →

Chemical, optical, and oxidizing properties of three kinds of water-soluble organic matter in PM2.5 from biomass and coal combustion in rural areas in Northwest China

this data set is about the molecular carbon content, light absorption, infrared spectra, and oxidation activity in PM2.5

opencc-by-4.0Nov 2021View details →

Code for data and figures published in "Solar energy as an early just transition opportunity for coal-bearing states in India"

The following code and data were used to generate the figures in the article "Solar energy as an early just transition opportunity for coal-bearing states in India". The article was published in Environmental Research Letters (<a href="https://iopscience.iop.org/article/10.1088/1748-9326/ac5194">https://iopscience.iop.org/article/10.1088/1748-9326/ac5194</a>) The code is written in R. Before running the Rmd file, create a folder called "Data" and store all the files there, except the Rmd file.