Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
50
datasets available to search
ShareScore release 0.9.0
Dataset results
50 results for “mineralogy”
Bulk, biomarker and mineralogy data of grain size fractions along a land-sea transect offshore the Atchafalaya river, northern Gulf of Mexico
<p>This dataset comprises the bulk, biomarker and mineralogy data of partitioned surface sediments along a land-sea transect offshore the Atchafalaya River, northern Gulf of Mexico. It includes the total concentrations of the biomarkers and proxies as presented in the accompanied publication, as well as concentrations of single isomers. Supplement to: Yedema et al., (2024); Influence of Organo-mineral Associations on Terrestrial Particulate Organic Matter Dispersal in the northern Gulf of Mexico (doi.)</p> <p> </p> <p><strong>This research has been supported by the Netherlands Earth System Science Centre (grant no. 024.002.001)</strong></p> <p> </p>
Mapping mineralogical heterogeneities at the nm-scale by scanning electron microscopy in modern Sardinian stromatolites: Deciphering the origin of their laminations
<p>These are the raw or processed data used for a paper published in Chemical Geology by Debrie et al. (2022), entitled "Mapping mineralogical heterogeneities at the nm-scale by scanning electron microscopy in modern Sardinian stromatolites: Deciphering the origin of their laminations", <a href="https://doi.org/10.1016/j.chemgeo.2022.121059">https://doi.org/10.1016/j.chemgeo.2022.121059</a></p> <p>The data content is summarized in the List_description_of_data.xlsx file</p>
Environmental and Mineralogical Characteristics of Tourmaline-bearing localities in the United States
<p><strong>Background</strong></p> <p>This dataset contains the compiled mineralogical records of 458 tourmaline-bearing sites in the United States. Environmental parameters associated with each locality such as surface temperature, precipitation, and geothermal gradient have also been recorded. Geological processes were identified for each locality using site and mineral descriptions from mineral databases and they were also interpreted using machine learning algorithms. Market basket analysis algorithms were utilized to identify patterns within the mineralogical data and these patterns were attributed to the geological processes listed in the dataset.</p> <p><strong>Data Sources</strong></p> <p>Mineral occurrence data were retrieved from Mindat.org for the tourmaline minerals schorl, dravite, elbaite, uvite, and foitite. Mineral descriptions listed in the Handbook of Mineralogy (Anthony et al., 2004) web database aided in the identification of different geological processes. Geothermal gradient data are interpolated from values listed in geothermal temperature studies conducted by Batir et al. (2013), Kron and Stix (1982), and Nathenson and Guffanti (1987). Elevation data were retrieved from the USGS Elevation Point Query Service and the climatic data from the WorldClim dataset. Köppen-Geiger climatic zones were assigned to each locality using data published by Kottek et al. (2006) and made available at http://koeppen-geiger.vu-wien.ac.at/</p> <p><strong>Version Two</strong></p> <p>The second version of this dataset (TourmalineLocalitiesV2.csv) contains the initial tourmaline-bearing sites retrieved from the Mindat mineral database plus 389 randomly generated test localities. The randomly generated locations have all of the same parameters as the initial dataset with the mineralogy being extracted from mineral surface models. Natural neighbor interpolation was used to generate surface models for each individual mineral in the dataset and the mineralogy for each test locality was extracted from the models. The first version of the dataset also did not have coordinates for each site and those have been added in this version. </p>
Datasets for Wohlfarth et al. (2023) An advanced thermal roughness model for airless planetary bodies - Implications for global variations of lunar hydration and mineralogical mapping of Mercury with the MERTIS spectrometer
<p>This document describes the datasets and modeling results presented and discussed in our full research article.<br> <br> Wohlfarth, K., Wöhler, C., Hiesinger, H., Helbert, J. 2023, An advanced thermal roughness model for airless planetary bodies - Implications for global variations of lunar hydration and mineralogical mapping of Mercury with the MERTIS spectrometer, Astronomy and Astrophysics, 672<br> <br> <a href="https://doi.org/10.1051/0004-6361/202245343">https://doi.org/10.1051/0004-6361/202245343</a><br> <br> We provide several visualization scripts that read and display the results for convenience. Access to the original MATLAB® code for the thermal model implementation is available upon request (<a href="mailto:kay.wohlfarth@tu-dortmund.de">kay.wohlfarth@tu-dortmund.de</a>).<br> <br> More info in Dataproducts.pdf</p>
Modeling dust mineralogical composition: sensitivity to soil mineralogy atlases and their expected climate impacts. Soil and airborne mineral fraction datasets.
<p>These datasets correspond to soil and airbone mass mineral fractions as described and generated for "Modeling dust mineralogical composition: sensitivity to soil mineralogy" by Gonçalves Ageitos, M., Obiso, V., Miller, R.L., Jorba, O., Klose, M., Dawson, M., Balkanski, Y., Perlwitz, J., Basart, S., Di Tomaso, E., Escribano, J., Macchia, F., Montané, G., Mahowald, M.M., Green, R.O., Thompson, D.R. and Pérez García-Pando, C., ACP, 2023. </p> <p>There are 4 netCDF files that include the soil mass mineralogical fractions (0-1) in the clay (0-2 <span class="math-tex">\(\mu\)</span>m in diameter) and silt (2-63 <span class="math-tex">\(\mu\)</span>m in diameter) size classes as derived from the works of Claquin et al., (1999), and updated by Nickovic et al. (2012): <strong>C1999-SMA</strong>, and Journet et al. (2014): <strong>J2014-SMA</strong>. The data is mapped in a regular global grid with a horizontal resolution of 0.083º. Additional information on the FAO soil units, and soil texture data from HWSDv1.2 is provided in the J2014-SMA files. </p> <p>File details: </p> <ul> <li>C1999-SMA_CLAY_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction.</li> <li>C1999-SMA_SILT_minfrac_0.083deg.nc - Claquin et al. (1999), Nickovic et al. (2012) soil mineralogy data for the clay fraction.</li> <li>J2014-C2-SMA_CLAY_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction.</li> <li>J2014-C2-SMA_SILT_minfrac_0.083deg.nc - Journet et al. (2014) case 2 with the changes reported in Gonçalves Ageitos et al. (2023) soil mineralogy data for the clay fraction.</li> </ul> <p>There are 2 additional files that report the multiannual (2006-2010 period) monthly mean of the <strong>aerosol mass mineral fractions</strong> as obtained from the <strong>MONARCH model</strong> simulations described in Gonçalves Ageitos et al. (2023). The mass fractions are provided in each of the 8 size bins used in the model (ranging from 0.2 to 20 <span class="math-tex">\(\mu\)</span>m in diameter), and normalized so as to sum 1 (i.e., the sum of all minerals in all bins equals 1). Note that in order to reduce the size of these files, the variables have been compressed to short format and include an offset and scale factor as attributes. </p> <p>File details: </p> <ul> <li>20062010_monarch_minfrac_C1999.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH C1999 experiment. </li> <li>20062010_monarch_minfrac_J2014.nc - climatology (2006-2010 multiannual monthly mean) of size distributed mass mineral fractions as derived from the MONARCH J2014 experiment. </li> </ul> <p> </p> <p><em>Legend for the minerals:</em></p> <p>quar: quartz, feld: feldspars, calc: calcite, gyps: gypsum, illi: illite, mont: montmorillonite/smectite, kaol: kaolinite, verm:vermiculite, chlo: chlorite, mica: mica, hema: hematite, goet: goethite, irox:iron oxides (hematite and goethite). </p> <p>References:</p> <p>Claquin, T., Schulz, M., and Balkanski, Y. J.: Modeling the mineralogy of atmospheric dust sources, Journal of Geophysical Research<br> Atmospheres, https://doi.org/10.1029/1999JD900416, 1999.</p> <p>FAO-UNESCO: Soil Map of the World- Volume I Legend, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Paris, http://www.fao.org/3/as360e/as360e.pdf, 1974.</p> <p>FAO-UNESCO: Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization. Digital Soil Map of the World and Derived Soil Properties, Food and Agriculture Organization - United Nations Educational Scientific and Cultural Organization, Rome, 1995.</p> <p>FAO/IIASA/ISRIC/ISSCAS/JRC: Harmonized World Soil Database (version 1.2), Food and Agriculture Organization, FAO, Rome, Italy and IIASA, Laxenburg, Austria, 2012.</p> <p>Journet, E., Balkanski, Y., and Harrison, S. P.: A new data set of soil mineralogy for dust-cycle modeling, Atmospheric Chemistry and<br> Physics, 14, 3801–3816, https://doi.org/10.5194/acp-14-3801-2014, 2014.</p> <p>Nickovic, S., Vukovic, A., Vujadinovic, M., Djurdjevic, V., and Pejanovic, G.: Technical Note: High-resolution mineralogical database of dust-productive soils for atmospheric dust modeling, Atmospheric Chemistry and Physics, 12, 845–855, https://doi.org/10.5194/acp-12-845-2012, 2012.</p> <p> </p>
Results of Rock Magnetic and Mineralogical Analyses of Ultramafic Cores from the Oman Drilling Project
<p>This dataset comprises of original rock magnetic data, microscope images, EPMA data, and EDS reports used for analysis of serpentinized ultramafic cores drilled during the Oman Drilling Project (OmanDP).</p> <p>Rock magnetic experiments have been performed onboard D/V Chikyu and in a shielded facility located at the University of Iceland. Results included in the dataset are as follows: Mass susceptibility, Natural remanence before and after alternating field (AF) and thermal demagnetization, and thermomagnetic measurements. </p> <p>Microscopic images and EDS reports are the results of backscatter electron microscopy that was held at Seoul National University with a JEOL JSM-7100F scanning electron microscope. EPMA results were produced using the JXA-8530F electron probe micro-analyzer at the National Center for Inter-University Research Facilities (NCIRF) of Seoul National University (SNU).</p> <p> </p>
Heterogeneous mineralogical composition and fault behaviour: A systematic study in ternary fault rock compositions.
<p>In this dataset the high resolution images of the microstructural analysis and the frictional strength, frictional healing and the rate and state parameters are reported. The data refer to a comprehensive study with 34 frictional experiments on fault gouges composed of three representative mineral phase:muscovite (platy phyllosilicate), quartz (granular silicate) and calcite (granular carbonate), known for their markedly distinct frictional properties. </p>
BC Ophiolitic UMR Mineralogy, Physical Properties, and ME Geochemistry
<p>This is dataset comprises: major-element geochemistry, physical properties (magnetic susceptibility, natural remanent magnetization, density, porosity), and mineralogy (XRD and TGA) for ophiolitic ultramafic rocks in British Columbia.</p>
Data and Supplemental Data from Radwin et al. "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy"
<p>These data are part of Radwin et al., "Southwestern Australia Acid-Saline Mineralogy: Observations from Reflectance Spectroscopy", submitted to IEEE TGRS in 2022. This work was supported in part by the National Aeronautics and Space Administration through the Solar System Workings program grant 80NSSC19K0552, and by the National Science Foundation grants from the Sedimentary Geology and Paleobiology Program (EAR-0719822, EAR-0719838 and EAR-0719892).</p> <p>Included in this dataset are ten separate downloadable files:</p> <p>1) RADWIN_2022_ACID_SALINE_SPECTRA.xlsx is an Excel spreadsheet containing all of the continuum-removed spectra utilized and an appendix organizing the data.</p> <p>2) RADWIN_2022_ACID_SALINE_POLYFIT_IRON_SPECTRA.xlsx is an Excel spreadsheet containing all of the polynomial fit continuum-removed iron spectra between ~800-1200 nm.</p> <p>3) RADWIN_2022_HYMAP_DATA.rar is a folder containing Envi files (with associated image metadata, such as bad-band-list) for the HyMap imagery of Lake Brown and the Twin Lakes region.</p> <p>4) RADWIN_2022_WA_SEDS_XRF_DATA.xlsx contains supplemental pXRF data.</p> <p>5) Radwin_Supplemental_XRD_LA1_Data.xlsx contains supplemental XRD data from the Lake Aerodrome LA2 core dataset (LA1 on filename is a typo).</p> <p>6) SAM Classification Maps.zip contains the classification map files.</p> <p>7) SAM Rule Images & Stats.zip contains rule images and class statistics from the SAM classification maps.</p> <p>8) SAM_Processing_Log.xlsx contains the specifications used for the SAM classification maps when using ENVI.</p> <p>9) SAM_Training_Data_Shapefiles.zip contains shapefiles that designate the training class data for the 7 classification map classes.</p> <p>10) XRF_Spectra_Matched_Sample_Photos_For_Reference.docx contains photos of the samples that were analyzed with pXRF.</p> <p> </p>
Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks
<p>PLEASE NOTE: There was an issue with some of the total porosity data in a previous version of the database (the decimal place was shifted). Please use this version of the database. Please contact samuelwarrenscott--at--gmail.com if there are any questions. </p> <p>The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.</p>
Metadata from: Rhizosphere bacteria and fungi are differentially structured by host plants, soil mineralogy and ectomycorrhizal communities in the Alaskan tundra
Open the record for dataset details and reuse information.
McMurdo Dry Valleys Mineralogic composition of cryogenic evaporites determined by low-temperature X-ray diffactometry
As part of a collaborative investigation between researchers at Rice University, Arkansas State University, University of Rochester, and Ohio State University, lakes of the McMurdo Dry Valleys were sampled at discreet depth intervals during the 2005-2006 field season.  Sample splits were subsequently analyzed for chemical and isotopic composition of both gases and dissolved  ions, as well as dissolved organic carbon. In addition, cryogenic salts were sampled in the surrounding lake shores in order to determine the salt sources. Gravity cores were also obtained and in the case of Lake Vanda, a white precipitate was recovered from the lake bottom.        Presented  in this file is the mineralogic composition of salt crusts that were collected on the surface of sediment and rocks surrounding the lakes, as well as the lake-bottom precipitate from Lake Vanda.  The results are based on low-temperature XRD determinations, and Rietveld refinement of whole peaks.       Â
Grain size and clay mineralogy data of the Esplugafreda sequence (Spain) with stable carbon, oxygen and clumped isotope data of soil carbonates
<p>This datasets contains 1) grain size distribution data of mudstone paleosols of the Esplugafreda sequence (Esplugafreda and Claret Formations) measured by laser diffraction, and 2) clay mineralogy measured by powder X-ray diffraction, as well as 3) stable carbon, oxygen and clumped (D47) isotope compositions of soil carbonates. The Esplugafreda sequence is found in the Tremp-Graus Basin in the southern forefront of the Pyrenees and consists of continental sediments formed in a coastal alluvial setting during the late Paleocene and early Eocene.</p> <p>In addition, a proxy dataset of late Paleocene and PETM continental temperatures of the northern hemisphere is also included.</p>
Code and Data for Examining the Quantification Capability of Automated Mineralogy System
<p>This package contains the code and data supporting a study that examined the quantification performance of automated mineralogy systems.</p>
Data from: Skeletal mineralogy of marine organisms shaped by seawater temperature and evolutionary history - a case study of cheilostome bryozoans
<p>The record of CaCO<sub>3</sub> biominerals serves as a valuable repository documenting Earth's evolutionary history and environmental changes. An in-depth understanding of the mineralogical diversity within calcifying organisms is essential for interpreting the evolutionary record of CaCO<sub>3</sub> and evaluating the adaptability of biomineralizers to past and future environmental change. To offer insights into the relative importance of environment vs. phylogenetic history in determining mineralogy, this study explores the modern-day global distribution of mineralogies in cheilostome bryozoans.</p> <p>Cheilostome bryozoans vary considerably in their mineral composition: in our dataset 65% of the species possess purely calcite skeletons, 15% exclusively employ aragonite, and 20% exhibit mixed (i.e., calcite and aragonite) mineralogies. Temperature is the predominant measured environmental factor influencing bryozoan skeletal mineralogy, accounting for 20% of its variability across species, when phylogenetic relatedness is unaccounted for. Bryozoans in lower latitudes, characterized by higher seawater temperatures, have higher aragonite concentrations. By accounting for phylogenetic structure using a subset of 87 species for which we have topological information, 40% of the observed mineralogical variability could be attributed to present-day temperature. In contrast, depth and salinity played minor roles, explaining less than 1% of the mineralogical variation each.</p> <p>This study emphasizes the influence of evolutionary history on the mineralogical variability of calcifying organisms, even when it can be shown that a single environmental factor (temperature) explains a substantial amount of this variability. When confronted with changing temperature, calcifiers such as bryozoans are likely to respond in diverse ways, depending on the species, given their phylogenetic relatedness and the external conditions they meet.</p>
Paleohydrology on Mars constrained by mass balance and mineralogy of pre‐Amazonian sodium chloride lakes
<p>Included are the raw results obtained by running the numerical models and analyzing the remote sensing maps. Also included are the input data and output data for all CHIM-XPT and SOLVEQ-XPT geochemical models, so the user may reproduce the results from the paper. Programs CHIM-XPT and SOLVEQ-XPT ((c) Mark H. Reed, University of Oregon) are required to run the geochemical models. Please refer to the paper for details on methodology, and get in touch if clarification is required ("Paleohydrology on Mars constrained by mass balance and mineralogy of pre-Amazonian sodium chloride lakes", by M. Melwani Daswani and E. S. Kite, published in the Journal of Geophysical Research: Planets Volume 122, Issue 9 (2017), https://doi.org/10.1002/2017JE005319).</p> <p>Please get in touch if you notice any mistakes too. All data are backed up by M. Melwani Daswani. A lot of data were generated for this project, and it is possible something may have been missed while uploading.</p> <p>Mohit Melwani Daswani, 20 June 2018<br> melwani.mohit@gmail.com</p> <p>EOM</p>
Mineralogy v3
A collection, from the literature and from individual experts, of traits relating to mineralogy of hard parts of organisms, chiefly calcified tissues.<p></p>
Mineralogy and Geochemical Characteristics of Lateritic Nickel Deposit in Wiwirano District, North Konawe, SE Sulawesi, Indonesia
<p><span>XRF data of laterite was taken from 29 drilling points for each 1 m interval from top to bottom of the profiles.</span></p> <p><span>If you have any further questions, feel free to contact me at <a href="mailto:riocj@uho.ac.id">riocj@uho.ac.id</a></span></p>
(2) Correspondence-Henry Heuland-Natural History Museum London- DF1/7 Mineralogy correspondence
<p>Source:Correspondence-Henry Heuland-Charles Konig-Natural History Museum London- DF1/7 Mineralogy correspondence</p>
Temperature as a likely driver shaping global patterns in mineralogical composition in bryozoans: Implications for marine calcifiers under Global Change
<p><span>The Southern Ocean is showing one of the most rapid responses to human-induced global change, thus acting as a sentinel of the effects on marine species and ecosystems. Ocean warming and acidification are already impacting benthic species with carbonate skeletons, but the magnitude of these changes to species and ecosystems remains largely unknown. Here we provide the largest carbonate mineralogical dataset to date for Southern Ocean bryozoans, which are diverse, abundant and important as carbonate producers, thus making them excellent for monitoring the effects of ocean warming and acidification. </span><span>To</span><span> improve our </span><span>understanding of how bryozoans might respond to ocean warming and acidification,</span><span> we assess latitudinal and seafloor temperature patterns of skeletal mineralogy using bryozoan species occurrences together with temperature data for the first time. Our findings, combining new mineralogical data with published data from warmer regions, show that the proportions of high-Mg calcite and bimineralic species increase significantly towards lower latitudes and with increasing seawater temperature. These patterns are consistent with the hypothesis that seawater temperature is likely a significant driver of variations in bryozoan mineralogy at a global scale.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.