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751 results for “geology”
Dataset on surface peat stoichiometry and physical properties in boreal undrained peatlands in Finland, Natural Resources Institute Finland (Luke) and Geological Survey of Finland (GTK)
<p><strong>Dataset on surface peat stoichiometry and physical properties in boreal undrained peatlands in Finland </strong></p><p><strong>Creators: </strong>Larmola T, Anttila J, Turunen J, Laine-Petäjäkangas A, Ovaskainen J, Laatikainen M </p><p>The dataset consists of peat properties in a subset of 16 undrained peatland sites (32 peat samples) in Geological Survey of Finland (GTK) national peatland inventory. These sites were sampled between 2002 and 2017 and the subset selected from GTK peat sample archives. These 16 sites represented two pine-<i>Sphagnum-</i> dominated site types (IR, KR) and two treeless sedge fen types (VSN, RhSN) all in 4 replicates and sampled in 2 depths 20-40, 40-60cm). </p><p><strong>Peat analyses</strong> The peat samples were analyzed for C:H:N:S and ash concentration with Leco 628 CHNS analyzer following standard SFS EN13039 with FINAS accredited adjustments JOK3023. The dry matter content was analyzed after drying the sample at 105 ℃ and ash content based on loss on ignition at 550 ℃. The O concentration was determined by difference: %O = 100 - % (ash + total C + N + H + S).</p><p><strong>Stoichiometric calculations</strong>The O concentration was determined by difference: %O = 100 - % (ash + total C + N + H + S). Atomic ratios of C:N, H:C and O:C were calculated based on the individual sample mass values. The C oxidation state (Cox), the oxidative ratio (OR), and the degree of unsaturation (DU) were calculated following equations in the study by Masiello et al. (2008). The analyses are described in more detail in Turunen et al. (manuscript). </p><p>Related datasets used in the same publication are:</p><p>Larmola T, Anttila J, Alm J Dataset on surface peat stoichiometry and physical properties in boreal forestry-drained peatlands in Finland</p><p>Turunen J. (2023). Surface peat data, Geological Survey of Finland (Version 1) [Data set]. Zenodo. <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.5281%2Fzenodo.8434148&data=05%7C01%7Cluke.tuula.larmola%40valtion.mail.onmicrosoft.com%7Cc48ffad4c0e341d0fa5808dbcaff0289%7C7c14dfa4c0fc47259f0476a443deb095%7C0%7C0%7C638326968887189768%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=AyYOxR7Mas2ef8y3wI7oCrzHWSyqBzt%2FJB0CMN%2BJUiU%3D&reserved=0">https://doi.org/10.5281/zenodo.8434148</a></p><p> </p><p><strong>Data column description </strong></p><p>ID - Site identifier</p><p>site - undrained peatland (UDP) for all rows</p><p>ncoord - North coordinate (latitude), degrees.</p><p>depth - Sampling depth. 20: 0-20 cm, 40: 20-40cm, 60: 40-60cm.</p><p>type - Site type classification according to the Finnish peatland site type system.</p><p>origin - UDP site type. I: treed peatland (peat typically Sphagnum-wood), II: treeless peatland (or sparsely treed, peat typically Sphagnum-sedge)</p><p>type_num - Nutrient level according to site type. 1 is the most nutrient rich and 4 is the least.</p><p>Cmol - Molar carbon concentration in the sample</p><p>Hmol - Molar hydrogen concentration in the sample</p><p>Nmol - Molar nitrogen concentration in the sample</p><p>Omol - Molar oxygen concentration in the sample</p><p>Smol - Molar sulphur concentration in the sample</p><p>bd - Bulk density, kg/m3</p><p>cox - C oxidation state</p><p>or - Oxidative ratio</p><p>du - Degree of unsaturation</p><p>hc - H:C ratio</p><p>cn - C:N ratio</p><p>oc - O:C ratio</p><p><strong>References</strong></p><p>Masiello CA, Gallagher ME, Randerson JT, Deco RM, Chadwick OA (2008) Evaluating two experimental approaches for measuring ecosystem carbon oxidation state and oxidative ratio, Journal of Geophysical Research 113, G03010, <a href="https://doi.org/10.1029/2007JG000534">https://doi.org/10.1029/2007JG000534</a></p><p>Turunen J, Anttila J, Laine-Petäjäkangas A, Ovaskainen J, Laatikainen M, Alm J, Larmola T 2023. Impacts of forestry drainage on surface peat stoichiometry and physical properties in boreal peatlands in Finland. <i>manuscript.</i></p>
Copper mineralization at Carajás mineral province - Brazil: geological, structural, and geophysical data
<p>Gridded geological, structural, and geophysical data at the Carajás mineral province. A number of known Cu occurrences are provided. This dataset is suitable for experimenting with machine learning methods.</p>
Inventory maps of hazardous geological processes_Transcarpathia, Ukraine
<p>Under the ImProDiReT Project running at Regional Transcarpathia level an Inventory maps of the hazardous geological processes’ manifestations for the Transcarpathia (landslides, mudflows, flooding and flash floods, karst) have been created.</p>
Data on ground ice, organic carbon and soluble cations in tundra permafrost and active-layer soils near Lac de Gras in the Slave Geological Province, N.W.T., Canada
<p>Data and computer code for producing figures for the manuscript:</p> <p>Subedi, R., Kokelj, S. V., and Gruber, S.: Ground ice, organic carbon and soluble cations <br> in tundra permafrost soils and sediments near a Laurentide ice divide in the Slave <br> Geological Province, N.W.T., Canada. The Cryosphere, accepted for publication in October 2020. </p> <p>Discussion paper and final version: https://doi.org/10.5194/tc-2020-33</p> <p> </p> <p>==========================================================================================<br> CONTENT OF DIRECTORIES<br> ==========================================================================================<br> -– data [input data to produce plots]<br> |–– BoreholesMeta.csv<br> |–– brackets_photos_ice.csv<br> |–– brackets_photos_thawed.csv<br> |–– Lac_de_Gras_permafrost_20200612.csv<br> |–– NordicanaD<br> <br> |–– ds_000582159 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_TCR.csv<br> |–– Cored_Drill_TCR.csv_ReadMe.txt<br> <br> |–– ds_000582163 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_Logs.csv_ReadMe.txt<br> |–– Cored_Drill_Logs.csv</p> <p>–– plot [R scripts write plots into this subdirectory]</p> <p>–– src [R scripts to generate plots]<br> |–– Combined_Plots.R [produces Figures 3–6]<br> |–– Eskers.R [helper function called by Combined_Plots.R]<br> |–– Organics.R [helper function called by Combined_Plots.R]<br> |–– plot_boreholes_DD_single.R [produces Figures S3]<br> |–– plot_boreholes_DD.R [produces raw Figure S2 for further graphic processing]<br> |–– Till.R [helper function called by Combined_Plots.R]<br> |–– Valley.R [helper function called by Combined_Plots.R]</p> <p><br> ==========================================================================================<br> RUNNING SCRIPTS<br> ==========================================================================================</p> <p>Adjust the variable 'path' in these scrips, then run: <br> Combined_Plots.R<br> plot_boreholes_DD_single.R<br> plot_boreholes_DD.R </p> <p>Tested with R version 3.6.3 (2020-02-29) -- "Holding the Windsock"</p> <p> </p> <p>==========================================================================================<br> REFRERENCE<br> ==========================================================================================<br> Please note that the data contained in data/NordicanaD is published as Gruber et al. (2018)<br> and only included here for convenience. The full reference for the authoritative copy is: <br> <br> Gruber, S., Brown, N., Stewart-Jones, E., Karunaratne, K., Riddick, J., Peart, C., <br> Subedi, R., Kokelj, S. 2018. Drill logs, visible ice content and core photos from 2015 <br> surficial drilling in the Canadian Shield tundra near Lac de Gras, Northwest Territories, <br> Canada, v. 1.0 (2015-2015). Nordicana D38, doi: 10.5885/45558XD-EBDE74B80CE146C6. <br> http://www.cen.ulaval.ca/nordicanad/dpage.aspx?doi=45558XD-EBDE74B80CE146C6 </p>
Supplementary Data for Wueller et al. (2024): Geologic History of the Amundsen Crater Region Near the Lunar South Pole: Basis for Future Exploration
<p>Supplementary Data for Wueller et al. (2024): Geologic History of the Amundsen Crater Region Near the Lunar South Pole: Basis for Future Exploration</p> <p>Data contains the georeferenced map plate of our geologic map that can be used in any geoinformation system (GIS).</p> <p><strong>If you use these data, please cite BOTH the Planetary Science Journal publication and the Zenodo dataset.</strong></p> <p>Wueller, L., Iqbal, W., Frueh, T., van der Bogert, C. H., & Hiesinger, H. (2024). Geologic history of the Amundsen crater region near the Lunar South Pole: Basis for future exploration. <em>The Planetary Science Journal</em>, <em>5</em>(6), 147. <a href="https://iopscience.iop.org/article/10.3847/PSJ/ad2c04">https://iopscience.iop.org/article/10.3847/PSJ/ad2c04</a></p> <p>Wueller, L., Iqbal, W., Frueh, T., van der Bogert, C. H., & Hiesinger, H. (2024). Supplementary Data for Wueller et al. (2024): Geologic history of the Amundsen crater region near the Lunar South Pole: Basis for future exploration. <em>Zenodo Dataset</em>. <a href="https://doi.org/10.5281/zenodo.10693820" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10693820</a></p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>Mapping Scale is 1:100,000</p> <p>Print Scale is 1:1,000,000</p> <p>-----------------------------------------------------------------------------------------------------------------------------------------</p> <p>For further questions contact lwueller@uni-muenster.de</p> <p>Lukas Wueller, Institut für Planetologie, Universität Münster, Germany, June 2024</p>
New maps of global geologic provinces and tectonic plates: global tectonics data and QGIS project file
<p>The global tectonics data compilation is a set of raster and vector data that are useful for investigating tectonics past and present. The datasets are useful on their own or can be used in GIS software, which includes the QGIS project file for convenience. The datasets include our new models for tectonic plate boundaries and deformation zones, geologic provinces and orogens. Additional datasets include earthquake and volcano locations, geochronology, topography, magnetics, gravity, and seismic velocity.</p> <p>The global tectonics collection is suitable for research and educational purposes.</p>
Data from calculated radial neutron flux distributions in a KBS-3 type geological repository
<p>Data from calculations of radial distribution of neutron flux per emitted neutron from rods of spent nuclear fuel in a KBS-3 type geological repository. Reference (<em>Jansson, 2022</em>) contain a summary of the calculations and a description of the structure of this data.</p> <p>This data was computed on resources provided by Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX), National Supercomputer Centre at Linköping University (NSC) and the SNIC Cloud, partially funded by the Swedish Research Council through grant agreement no. 2018-05973, under projects SNIC 2021/5-299 and SNIC 2021/18-12.</p>
The tectonic evolution of the Arctic since Pangea breakup: Integrating constraints from surface geology and geophysics with mantle structure
<div>Description of Resources - Shephard et al. (2013)</div> <div> </div> <div>This file provides a detailed description of all of the files that make up the data collection associated with the publication: Shephard, G. E., Müller, R. D., & Seton, M. (2013). The tectonic evolution of the Arctic since Pangea breakup: Integrating constraints from surface geology and geophysics with mantle structure. Earth-Science Reviews, 124(0), 148-183. doi: <a href="https://doi.org/10.1016/j.earscirev.2013.05.012" target="_blank" rel="noopener">10.1016/j.earscirev.2013.05.012</a></div> <div> </div> <div>Note: For information on file formats and what programs to use to interact with various file formats, see "File Formats and Recommended Programs”.</div> <div> </div> <div>Note: This paper is based on a global model (Seton et al., 2012), which should also be referenced if looking globally or regions other than the Arctic or northern Panthalassa.</div> <div> </div> <div>The files that make up the tectonic reconstruction model include:</div> <div>• <strong>Rotations </strong>- This is a global rotation model (based on Seton et al., 2012) that includes the new rotations for the Arctic.</div> <div>* Shephard_etal_ESR2013.rot (373 KB)</div> <div> </div> <div>• <strong>Coastlines </strong>- These are present day coastlines that have been assigned plate reconstruction ids to allow them to be reconstructed using the rotation file.</div> <div>* Shephard_etal_ESR2013_Coastlines.gpml (34.1 MB)</div> <div>* Shephard_etal_ESR2013_Coastlines.txt (3.2 MB)</div> <div>* Shephard_etal_ESR2013_Coastlinesc.kml (6.3 MB; datum - WGS 1984)</div> <div>* Shephard_etal_ESR2013_Coastlines.shp (3.2 MB inc auxiliary files; datum - WGS 1984)</div> <div> </div> <div>• <strong>Static polygons </strong>- These are closed polygons that split present day Earth's surface into regions that can be assigned to a given plate id, and therefore reconstructed back through time using the rotation file. These polygons can be used to cookie-cut and assign plate ids to geometry and raster data (for more information on this feature please visit http://gplates.org or http://earthbyte.org).</div> <div>* Shephard_etal_ESR2013_staticpolygons.gpml (19.4 MB)</div> <div>* Shephard_etal_ESR2013_staticpolygons.txt (2.7 MB)</div> <div>* Shephard_etal_ESR2013_staticpolygons.kml (4.4 MB; datum - WGS 1984)</div> <div>* Shephard_etal_ESR2013_staticpolygons.shp (2.3 MB inc auxiliary files; datum - WGS 1984)</div> <div> </div> <div>• <strong>Plate boundary geometries and resolved topologies</strong> – Resolved topologies comprise ridges, transforms, subduction zones and other plate boundary geometries. These boundaries intersect to form closed plate polygons ('resolved topologies') that are valid at 1 Myr intervals (0-200 Ma). The plate boundary geometries and plate polygons have been assigned plate reconstruction ids to allow them to be reconstructed using the rotation file.</div> <div>* Shephard_etal_ESR2013_platebounds.gpml (27.7 MB) - contains both plate boundaries and resolved topological plate polygons</div> <div>* Resolved topologies:</div> <div>- topology_*.00Ma.txt (20.6 MB)</div> <div>- topology_*.00Ma.shp (12.5 MB inc auxiliary files; datum - WGS 1984)</div> <div> </div> <div> </div> <div>References</div> <div> </div> <div>M. Seton, R.D. Müller, S. Zahirovic, C. Gaina, T.H. Torsvik, G. Shephard, A. Talsma, M. Gurnis, M. Turner, S. Maus, M. Chandler, (2012). Global continental and ocean basin reconstructions since 200 Ma. Earth-Science Reviews, 113(3–4), 212-270. doi:<a href="https://doi.org/10.1016/j.earscirev.2012.03.002" target="_blank" rel="noopener">10.1016/j.earscirev.2012.03.002</a></div>
Geological Maps in the Syrtis Major Region, Mars
<p>The dataset is an ArcGIS geodatabase for the geological maps within the Syrtis Major region illustrated in Voigt et al., 2024. The geodatabase includes contacts as line features and geologic units as point features. Related publication: J.R.C. Voigt, V.Z. Sun, C.E. Viviano,<span> </span>M. Stack (2024): Investigating Hydrated Silica in Syrtis Major, Mars: Implications for the Longevity of Water–Rock Interaction. Geophysical Research Letters. </p>
PetroChron Antarctica – a geological database for interdisciplinary use
<p>PetroChron Antarctica is a relational database containing petrological, geochemical and geochronological datasets along with computed rock properties from sampled rocks across Antarctica. Dataset is associated with the submitted publication - PetroChron Antarctica – a geological database for interdisciplinary use.</p>
Geological map of the southern Red Sea & western Gulf of Aden region
<p><strong>Content</strong></p> <p>This dataset contains a geological map of the southern Red Sea & western Gulf of Aden region (1:3’100’000), including all the associated data.</p> <p>This dataset includes:</p> <ul> <li>The map in JPEG, PDF, and GeoTIFF format</li> <li>The shapefiles of the map</li> <li>One document listing all sources used for the compilation of this map (<em>Source_Material_GmsRSwGoAr.pdf</em>)</li> </ul> <p> </p> <p>This database is an additional complement to the paper ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a> ’<em>.</em></p> <p>Note that a larger-scale map of the Afar Depression is available as 'Rime, V., Foubert, A., Atnafu, B. and Kidane, T. (2022) Geological map of the Afar Depression. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.7351643">https://doi.org/10.5281/zenodo.7351643</a> '</p> <p> </p> <p><strong>References</strong></p> <p>The map was developed by compiling a large number of published maps, descriptions, datings and other studies, complemented by remote sensing. All sources and references are mentioned in the <em>Source_Material_GmsRSwGoAr</em>. Material and methods of mapping have been described in detail within the paper.</p> <p> </p> <p><strong>Citation</strong></p> <p>When using the data, please cite the data as ‘Rime, V., Foubert, A., Atnafu, B. & Kidane, T. (2022) Geological map of the southern Red Sea & western Gulf of Aden region. Zenodo’ and refer to the accompanying paper as ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a> ’<em>.</em></p> <p>The map and additional data are given without any guarantee of correctness. Any use of these are under the user’s full responsibility.The authors decline any responsibility.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>This study was funded by the Swiss National Science Foundation (SNF project SERENA – SEdimentary REcord of the Northern Afar 200021_163114). We are grateful to the University of Fribourg (Switzerland), the University of Addis Ababa (Ethiopia), the Ethiopian Ministry of Mines and Energy, the Ethiopian Geological Survey, Circum Minerals, former Allana Potash and Yara Dallol for their support. We particularly acknowledge Samuel Getachew that helped us to access some of the geological maps. We thank David Jaramillo-Vogel, Jean-Charles Schaegis, Haileyesus Negga, Addis Endeshaw, Ermias Gebru, Eva de Boever, Juan-Carlos Braga, Pia Wyler, Xenia Haberditz, the Ethioder team as well as the regional and local administration of the Afar for their help and support during fieldwork.</p>
Geological map of the Afar Depression
<p><strong>Content</strong></p> <p>This dataset contains a geological map of the Afar Depression (1:1’000’000), including all the associated data.</p> <p>This dataset includes:</p> <ul> <li>The map in JPEG, PDF, and GeoTIFF format</li> <li>The shapefiles of the map</li> <li>One document listing all sources used for the compilation of this map (<em>Source_Material_Afar Depression.pdf)</em></li> <li>One document describing the uncertainty of the map (<em>Reliability_geol_map.pdf</em>)</li> <li>One dating database compiling published datings from the literature in .txt and shapefile formats. This database has been reviewed and mistakes in coordinates were corrected (see comments column). The precision of the position is also evaluated (1 = poor - possibly up to more than 10km uncertainty; 2 = average - no precise GPS measurement of the coordinates but good localisation on map or description of the outcrop; 3 = very good - most of the time GPS measurement or very precise descriptions/map).</li> </ul> <p> </p> <p>This database is an additional complement to the paper ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a> ’<em>.</em></p> <p>Note that a smaller-scale map of the region is available as 'Rime, V., Foubert, A., Atnafu, B. and Kidane, T. (2022) Geological map of the southern Red Sea & western Gulf of Aden region. <em>Zenodo</em>. <a href="https://doi.org/10.5281/zenodo.7351765">https://doi.org/10.5281/zenodo.7351765</a> '</p> <p> </p> <p><strong>References</strong></p> <p>The map was developed by compiling a large number of published maps, descriptions, datings and other studies, complemented by fieldwork and remote sensing. All sources and references are mentioned in the <em>Source_Material_Afar_Depression</em>. Material and methods of mapping have been described in detail within the paper.</p> <p> </p> <p><strong>Citation</strong></p> <p>When using the data, please cite the data as ‘Rime, V., Foubert, A., Atnafu, B. & Kidane, T. (2022) Geological map of the Afar Depression. Zenodo, https://doi.org/10.5281/zenodo.7351643’ and refer to the accompanying paper as ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, <a href="https://doi.org/10.1016/j.earscirev.2023.104519">https://doi.org/10.1016/j.earscirev.2023.104519</a> ’<em>.</em></p> <p>The map and additional data are given without any guarantee of correctness. Any use of these are under the user’s full responsibility. The authors decline any responsibility.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>This study was funded by the Swiss National Science Foundation (SNF project SERENA – SEdimentary REcord of the Northern Afar 200021_163114). We are grateful to the University of Fribourg (Switzerland), the University of Addis Ababa (Ethiopia), the Ethiopian Ministry of Mines and Energy, the Ethiopian Geological Survey, Circum Minerals, former Allana Potash and Yara Dallol for their support. We particularly acknowledge Samuel Getachew that helped us to access some of the geological maps. We thank David Jaramillo-Vogel, Jean-Charles Schaegis, Haileyesus Negga, Addis Endeshaw, Ermias Gebru, Eva de Boever, Juan-Carlos Braga, Pia Wyler, Xenia Haberditz, the Ethioder team as well as the regional and local administration of the Afar for their help and support during fieldwork.</p>
Complementary data for Iqbal et al. (2023): Geological Mapping and Chronology of Lunar Landing Sites: Apollo 14
<p>Complementary data for Iqbal et al. (2023): Geological Mapping and Chronology of Lunar Landing Sites: Apollo 14</p> <p>Data contains the Geotiff of our geologic map that can be used in any geoinformation system (GIS), and map plate for interpreting the map.</p> <p><strong>If you use these data, please cite BOTH the Icarus publication and the Zenodo dataset</strong></p> <p>Iqbal, W., Hiesinger, H., Borisov, D., van der Bogert, C. H., & Head III, J. W. (2023). Geological mapping and chronology of lunar landing sites: Apollo 14. <em>Icarus</em>, <em>406</em>, 115732. <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.icarus.2023.115732" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.icarus.2023.115732</a></p> <p>Iqbal, W., Hiesinger, H., Borisov, D., van der Bogert, C. H., & Head III, J. W. (2023). Complementary data for Iqbal et al. (2023): Geological Mapping and Chronology of Lunar Landing Sites: Apollo 14 [Data set]. In Icarus (Bd. 406, S. 115732). Zenodo. <a href="https://doi.org/10.5281/zenodo.8124259" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.8124259</a></p> <p>--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p>For further questions contact <a href="mailto:lwueller@uni-muenster.de" rel="noopener noreferrer nofollow">iqbalw@uni-muenster.de</a></p> <p>Wajiha Iqbal, Institut für Planetologie, Universität Münster, Germany.</p>
Water chemistry, bedrock geology, and land cover data for Pennsylvania headwater streams: 2007-2022.
This data package contains all data necessary to run random forest and regression analyses featured in the article: 'Influence of bedrock geology on headwater stream pH' by G. Moyer, K. Frantz, and M. Shank. The data include water chemistry, land cover, and geologic formations for 271 headwater streams in Pennsylvania. Data from two previously published papers are also included: Ponce et al. (1979) and Lynch and Dise (1985), which were used as validation datasets.
CD_geology_35408_E-HYPE
Geological age and type in percentage of upstream area for all E-HYPE sub-basins outlets. 22 different combinations of age and type are used: Cenozoic (Cz), Cenozoic-Mesozoic (CzMz), Cenozoic-Mesozoic intrusive (CzMzi) ), Cenozoic-Mesozoic volcanic (CzMzv), Cenozoic volcanic (Czv), Mesozoic (Mz), Mesozoic-Paleozoic (MzPz), Mesozoic-Paleozoic metamorphic (MzPzm), Mesozoic intrusive (Mzi), Mesozoic metamorphic (Mzm), Mesozoic volcanic (Mzv), Paleozoic (Pz), Paleozoic intrusive (Pzi), Paleozoic metamorphic (Pzm), Paleozoic-Precambrian (PzpCm), Paleozoic-Precambrian metamorphic (PzpCmm), Paleozoic volcanic (Pzv), intrusive (i), metamorphic (m), Precambrian (pCm), Precambrian intrusive (pCmi), Precambrian volcanic (pCmv). The "Karst" column indicates the percentage of area which is marked as "carbonate outcrop area" according to the World Map of Carbonate Rock Outcrops V3.0. This data can be linked to the shapefile "MULTIHARO_TotalDomain_WGS84_20140428_2" available as a separate download. To do so, link the "SUBID_OUT" filed of the shapefile with the "SUBID" field of this dataset.
Geological Structure of the Sydney-Gunnedah-Bowen Basin
<p>Deep geological structure of the Sydney-Gunnedah-Bowen Basin, from borehole records and potential field modelling. Accompanying publications to cite if using:</p><p>Building 3D geological knowledge through regional scale gravity modelling for the Bowen Basin</p><p><a href="https://doi.org/10.1071/EG11028">https://doi.org/10.1071/EG11028</a></p><p>Gunnedah Basin 3D architecture and upper crustal temperatures</p><p><a href="https://doi.org/10.1080/08120099.2010.481353">https://doi.org/10.1080/08120099.2010.481353</a></p><p>Deep 3D structure of the Sydney Basin using gravity modelling</p><p><a href="https://doi.org/10.1080/08120099.2011.565802">https://doi.org/10.1080/08120099.2011.565802</a></p>
Geographical and geological GIS boundaries of the Tibetan Plateau and adjacent mountain regions
<p><strong>Introduction</strong></p> <p>Geographical scale, in terms of spatial extent, provide a basis for other branches of science. This dataset contains newly proposed geographical and geological GIS boundaries for the <strong>Pan-Tibetan Highlands </strong>(new proposed name for the High Mountain Asia), based on geological and geomorphological features. This region comprises the <strong>Tibetan Plateau</strong> and three adjacent mountain regions: the <strong>Himalaya</strong>, <strong>Hengduan Mountains</strong> and <strong>Mountains of Central Asia</strong>, and boundaries are also given for each subregion individually. The dataset will benefit quantitative spatial analysis by providing a well-defined geographical scale for other branches of research, aiding cross-disciplinary comparisons and synthesis, as well as reproducibility of research results.</p> <p>The dataset comprises three subsets, and we provide three data formats (.shp, .geojson and .kmz) for each of them. Shapefile format (.shp) was generated in ArcGIS Pro, and the other two were converted from shapefile, the conversion steps refer to 'Data processing' section below. The following is a description of the three subsets:</p> <p>(1) The GIS boundaries we newly defined of the Pan-Tibetan Highlands and its four constituent sub-regions, i.e. the Tibetan Plateau, Himalaya, Hengduan Mountains and the Mountains of Central Asia. All files are placed in the "Pan-Tibetan Highlands (Liu et al._2022)" folder.</p> <p>(2) We also provide GIS boundaries that were applied by other studies (cited in Fig. 3 of our work) in the folder "Tibetan Plateau and adjacent mountains (Others’ definitions)". If these data is used, please cite the relevent paper accrodingly. In addition, it is worthy to note that the GIS boundaries of Hengduan Mountains (Li et al. 1987a) and Mountains of Central Asia (Foggin et al. 2021) were newly generated in our study using Georeferencing toolbox in ArcGIS Pro.</p> <p>(3) Geological assemblages and characters of the Pan-Tibetan Highlands, including Cratons and micro-continental blocks (Fig. S1), plus sutures, faults and thrusts (Fig. 4), are placed in the "Pan-Tibetan Highlands (geological files)" folder.</p> <p>Note: <strong>High Mountain Asia</strong>: The name ‘High Mountain Asia’ is the only direct synonym of Pan-Tibetan Highlands, but this term is both grammatically awkward and somewhat misleading, and hence the term ‘Pan-Tibetan Highlands’ is here proposed to replace it. <strong>Third Pole</strong>: The first use of the term ‘Third Pole’ was in reference to the Himalaya by Kurz & Montandon (1933), but the usage was subsequently broadened to the Tibetan Plateau or the whole of the Pan-Tibetan Highlands. The mainstream scientific literature refer the ‘Third Pole’ to the region encompassing the Tibetan Plateau, Himalaya, Hengduan Mountains, Karakoram, Hindu Kush and Pamir. This definition was surpported by geological strcture (Main Pamir Thrust) in the western part, and generally overlaps with the ‘Tibetan Plateau’ <em>sensu lato</em> defined by some previous studies, but is more specific.</p> <p>More discussion and reference about names please refer to the paper. The figures (Figs. 3, 4, S1) mentioned above were attached in the end of this document.</p> <p> </p> <p><strong>Data processing</strong></p> <p>We provide three data formats. Conversion of shapefile data to kmz format was done in ArcGIS Pro. We used the <em>Layer to KML</em> tool in Conversion Toolbox to convert the shapefile to kmz format. Conversion of shapefile data to geojson format was done in R. We read the data using the <em>shapefile</em> function of the raster package, and wrote it as a geojson file using the <em>geojson_write</em> function in the geojsonio package.</p> <p> </p> <p><strong>Version</strong></p> <p>Version 2022.1.</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>This study was supported by the Strategic Priority Research Program of Chinese Academy of Sciences (XDB31010000), the National Natural Science Foundation of China (41971071), the Key Research Program of Frontier Sciences, CAS (ZDBS-LY-7001). We are grateful to our coauthors insightful discussion and comments. We also want to thank professors Jed Kaplan, Yin An, Dai Erfu, Zhang Guoqing, Peter Cawood, Tobias Bolch and Marc Foggin for suggestions and providing GIS files.</p> <p> </p> <p><strong>Citation</strong></p> <p>Liu, J., Milne, R. I., Zhu, G. F., Spicer, R. A., Wambulwa, M. C., Wu, Z. Y., Li, D. Z. (2022). Name and scale matters: Clarifying the geography of Tibetan Plateau and adjacent mountain regions. Global and Planetary Change, In revision</p> <p> </p> <p>Jie Liu & Guangfu Zhu. (2022). Geographical and geological GIS boundaries of the Tibetan Plateau and adjacent mountain regions (Version 2022.1). https://doi.org/10.5281/zenodo.6432940</p> <p> </p> <p><strong>Contacts</strong></p> <p>Dr. Jie LIU: E-mail: <a>liujie@mail.kib.ac.cn</a>;</p> <p>Mr. Guangfu ZHU: <a>zhuguangfu@mail.kib.ac.cn</a></p> <p>Institution: Kunming Institute of Botany, Chinese Academy of Sciences</p> <p>Address: 132# Lanhei Road, Heilongtan, Kunming 650201, Yunnan, China</p> <p> </p> <p><strong>Copyright</strong></p> <p>This dataset is available under the Attribution-ShareAlike 4.0 International (<a href="https://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>).</p>
Geologic time scale - log-spiral
<p>The geologic time scale proportionally represented as a log-spiral. Some key events in Earth's history are marked on the diagram, including major extinction events, global scale glaciations, the intiation of permanent atmospheric oxygen, the formation of the moon, and the formation of Earth's magnetic field. The outer spiral arcs show components of the evolution of life on Earth. There are three versions available each with a light/dark text variant. One version uses the official International Commission on Stratigraphy colour scheme for the time scale and the scientific colours batlow colour scheme for life evolution. The other two versions use scientific colour maps batlow/glasgow and glasgow/batlow for their time scale and history of life evolution respectively. The light variants have black text in transparent regions and should be used for light backgrounds, while the dark variants have white text in transparent zones and should be used on dark backgrounds.</p> <p>Version 1.0.1 corrects a spelling error</p> <p>Version 1.0.2 fixes transposed eon/era labels and adds PDF versions.</p> <p>Version 1.0.3 corrects a spelling error</p> <p>The julia code used to generate the base of the image is provided. Further editing was done in Inkscape.</p>
Public database of geological-paleontological mapping in the surroundings of Vălioara
<p>The database contains the coordinates of the geological-paleontological mapping sites and measurements in the area of V<span>ă</span>lioara (Romania) from 2019 onwards. The Excel format file data tables contain in separate worksheets the localities, the measurements and the explanation of the mapping units. The coordinates are given in UTM34 coordinate system and also with latitude-longitude data (WGS84 datum).</p>
3D geological models of dolomitized clinoforms and flow simulation results: scenario 2 in Teoh, C.P. et al (2021)
<p>3D geological models of dolomitized clinoforms (10 different realisations) and flow simulation results according to Scenario 2 in Teoh, C.P. et al (2021) doi:<a href="http://doi.org/10.1016/j.marpetgeo.2021.105344">10.1016/j.marpetgeo.2021.105344</a>.<br> Models are built using surface-based modelling approach (doi:<a href="https://doi.org/10.1007/s11004-018-9764-8">10.1007/s11004-018-9764-8</a>). Flow simulations are run with IC-FERST, using unstructured tetrahedral meshes that adapt to geological heterogeneity and flow behaviour throughout the simulation to improve simulation quality and performance.</p> <p>For each of the 10 stochastic realisations, 5 geological models are available with corresponding flow simulation results:<br> - Only clinoforms and facies boundaries<br> - 1 dolomite body per clinothem (~20% dolomite)<br> - 2 dolomite bodies per clinothem (~40% dolomite)<br> - 3 dolomite bodies per clinothem (~60% dolomite)<br> - 4 dolomite bodies per clinothem (~80% dolomite)<br> <br> Input model files for simulation are provided in Exodus (.e) and GMSH (.msh) formats.<br> Flow simulation settings are provided for IC-FERST in .mpml files (<a href="http://multifluids.github.io/">multifluids.github.io</a>)<br> Flow simulation results are provided as:</p> <ul> <li> 3D unstructured adaptive mesh in .vtu format, which can be opened with Paraview (www.paraview.org). Time interval between successive mesh outputs is 1 month.</li> <li> In- and outflow rates and volumetric proportions per phase in .csv</li> </ul> <p>Naming of files and folders:<br> <em>Sxxxxxx_yyyyz</em> where:<br> '<em>xxxxxx</em>' is the stochastic seed number used to sample the input statistics and create the geological model<br> '<em>yyyy</em>' is either 'clino' or 'dolo' to indicate if the model represents respectively only clinoforms, or contains dolomite bodies <br> '<em>z</em>' corresponds to the number of dolomite bodies per clinothem</p>
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