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.
66
datasets available to search
ShareScore release 0.9.0
Dataset results
66 results for “Geochemical data”
Supporting data for manuscript "Geochemical Characterization of Insoluble Particle Clusters in Ice Cores Using Two-dimensional Impurity Imaging"
<p>Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) offers micron-resolution 2D chemical imaging, which has been adapted recently to ice core analysis. The datasets are supporting information for the manuscript "Geochemical Characterization of Insoluble Particle Clusters in Ice Cores Using Two-dimensional Impurity Imaging" accepted for publication at Geochemistry, Geophysics, Geosystems (10.1029/2022GC010595). Measurements were performed at the Ca’Foscari University of Venice, considered as analytes are 23Na, 24Mg, 27Al, 29Si, 43Ca, 56Fe and 88Sr. Background and drift correction as well as image construction were performed using the software HDIP (Teledyne Photon Machines, Bozeman, MT, USA). Impurity maps are acquired as a pattern of lines, without overlap in the direction perpendicular to that of the scan, and without any further spatial interpolation. In a sample of the EGRIP Greenland ice core (from about 1256.95 m depth), maps were obtained over 3 adjacent areas. For each of the maps, for every chemical channel the intensities (in counts, after background and drift correction) are provided as a separate file, named as “ds01_Area1_Na.csv”, etc. These maps were obtained using a 20 µm square spot. This data can be used to obtain the images shown in the manuscript. For the additional map shown as Figure 9 in the manuscript, data were obtained using a LA-ICP-TOFMS for imaging a sample of the last glacial period in the EPICA Dome C (EDC) ice core, bag 1065. The maps were acquired using a 35 µm square spot, with 50% overlap between neighboring pixels to increase the spatial resolution horizontally.</p>
Geochemical data from Little Comfort and Keewahtin Lakes, Minnesota 2023-2024.
Depth profiles of water column chemical and physical properties were assessed with seasonal-scale frequency from Little Comfort from September 2023 to June 2024 and from Keewahtin Lake in September 2023. The data were collected to assess mixing status, major geochemical constituents within the lake, and mineral precipitation reactions. Several parameters were routinely measured with deployable probes at meter or sub-meter resolution at the deepest location in each lake. Water samples were also collected for laboratory analysis.
Geochemical, physicochemical, and genomic data from a continental-scale survey of microbial diversity in Antarctic soils (2003-2023)
This data package offers comprehensive insights into Antarctic soil microbial diversity and composition. From 2003 to 2023, a total of 186 samples were collected from diverse locations spanning the Antarctic Peninsula to East Antarctica, representing a wide range of environmental gradients and climatic conditions. Soils were stored at -20°C to preserve their integrity for downstream analyses. This data package integrates cultivation-independent sequencing of prokaryotic and fungal communities alongside a robust cultivation-dependent culture collection to enable direct comparisons across microbial diversity assessment methods. Accompanying geochemical, physicochemical, and environmental parameters provide critical context for biogeographical analyses, offering a valuable resource for studying microbial adaptations and community dynamics in extreme Antarctic environments.
Leopard Cave ochres description and geochemical data
<p>The datasets present the macroscopic description and ICP-OES and ICP-MS geochemical data of archaeological ochres recovered at Leopard Cave rock art site (Erongo, Namibia). </p>
Sulfate Isotope and geochemical ice core data from Dronning Maud Land over the penultimate glacial termination
<p>Sulfur isotope data over the penultimate termination from the EPICA Dronning Maud Land (EDML) ice core as published in Fischer et al., Nature Geosciences, 2024. The file contains:</p> <ul> <li>measured geochemical and sulfur isotope data from the EDML ice core over the time interval 112-153 kyr before present</li> <li>deconvolution of different sulfur sources for the EDML ice core over the time interval 112-153 kyr before present</li> <li>reconstruction of atmospheric sulfate aerosol concentrations from the EDML ice core over the time interval 112-153 kyr before present</li> <li>measured geochemical and sulfur isotope data data from the shallow coastal B38 ice core over the time interval 1964-1968</li> </ul>
Geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna, Italy.
<p>This dataset contains all raw geochemical data of bottom sediments from a network of drainage canals located in the low-lying coastal area of Ravenna. The dataset is divided in three separated excel worksheets: </p> <p>- <strong>Focus Area</strong>. Sediment composition of the 21 sediment samples collected in 2022 in the Focus Area. Refer to Figs. 1 and 2 in the manuscript Giambastiani et al., 2024 for the sample locations. Listed are also other information related to sampling, such as depositional facies (BR: beach ridge deposits; IF: Interfluvial floodplain deposits), distance from the sea, altimetry, amount of fertilizer applied based on the land use, and EC of drainage water. <br>The sediment samples were collected in March 2022 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by the authors.</p> <p>- <strong>LRC, Land Reclamation Consortium</strong>. PTEs composition of the sediment samples of the Land Reclamation Consortium dataset. Refer to Fig. 1 and 2 in the manuscript Giambastiani et al., 2024 for the location. Listed are also other information related to sampling, such as distance from the sea, altimetry, and amount of fertilizer applied based on the land use. <br>The sediment samples were collected since 2010 along the drainage system of the lowlying coastal aquifer of Ravenna (Italy) by The Land Reclamation Consortium of Romagna (Italy). No other uses apart from scientific purpose is allowed without notice to the authors.</p> <p>- <strong>Wells</strong>. Physical and chemical groundwater parameters of 4 wells localted within the Focus Area. Refer to Fig.2 in the manuscript Giambastiani et al., 2024 for the location. <br>Data were collected during previous studies by Greggio et al. (2020) and reprocessed to obtain vertical profiles of EC, pH, Eh, and chemical concentrations along the coastal aquifer depth.</p> <p>More informations regarding the source, ownership, collection methodologies and analytical techniques are in Giambastiani et al., 2024.</p>
Geochemical data from sediments and porewaters from ferruginous and meromictic Brownie Lake, Minnesota, U.S.A.
The dataset is comprised of analyses of sediment cores and sediment trap samples from ferruginous and meromictic Brownie Lake, Minnesota, U.S.A from January 2018 through February 2021. The dataset includes bulk sediment characteristics including water content, grain size, major and minor elements. Voltammetric scans were collected on porewaters and lake waters. Sediment porewaters were analyzed for pH, total alkalinity, ferrous iron, and dissolved sulfur species contents. Sediment samples were maintained under the exclusion of oxygen for analysis by synchrotron-based X-ray absorption spectroscopy.
CatVolc: A new database of geochemical and geochronological data of volcanic-related materials from the Catalan Volcanic Zone (Spain)
<p>The Catalan Volcanic Zone (CVZ) (NE Spain) consists of an intraplate alkaline volcanic zone associated with the opening of the Western Mediterranean and the development of the European Rift System. Volcanic activity in the CVZ started in the L’Empordà area (ca. > 12 - 8 Ma), extended to La Selva (7.9 - 1.7 Ma), and finally migrated to the Garrotxa Volcanic Field (< 0.7 - 0.01Ma). Despite the scientific interest in the CVZ since the early 19th century, certain aspects remain poorly constrained. These include a full understanding of the spatial and temporal evolution of the magma plumbing system and ascent mechanisms, as well as the chronology of volcanism across the CVZ. Addressing these unresolved questions requires geochemical, petrological, and geochronological data, which, in the case of the CVZ, are scattered and have never been integrated or analyzed within a unified framework. Here, we present the CatVolc (Catalan Volcanism) database, which compiles available geochemical and geochronological data of volcanic-related materials of the CVZ. For each sample, the CatVolc database lists general information about the sampling site, sample lithology, whole-rock analyses (including major and trace elements), isotopic ratios, mineral chemistry, and radiometric/thermoluminescence dating information, if available. A preliminary analysis of the information contained in the CatVolc database highlights the critical limitations of the current state of knowledge and allows suggesting potential future directions for volcanic-driven investigations in the CVZ. Additionally, the results obtained validate the CatVolc database as a key tool for comprehending the spatial and temporal evolution of the magmatic system(s) and volcanic activity in the CVZ, particularly in the Garrotxa Volcanic Field. This aspect is critical for advancing in the assessment of the volcanic hazards in the region and for gaining a comprehensive understanding of future volcanic activity.</p> <p>The current database version consists of three MS Excel files dedicated to primary magmatic rocks (<em>CatVolc_magmatic_rocks.xlsx</em>), xenoliths (<em>CatVolc_xenoliths.xlsx</em>) and radiometric/thermoluminescence dating information (<em>CatVolc_dating.xlsx</em>). Each MS Excel file is structured around a main table (<em>Samples_general_info</em>) containing general information (e.g., location, age, sampling site) of the listed samples, and a certain number of secondary tables. Secondary tables included in the MS Excel files for magmatic rocks and xenoliths report: (i) whole-rock geochemistry (<em>Major_elements</em> and <em>Trace_elements</em>); (ii) isotopic relations data (<em>Isotopic_relations</em>); and (iii) mineral and volcanic glass chemistry (<em>Amphibole</em><strong>, </strong><em>Feldspar</em><strong>, </strong><em>Felspathoid</em><strong>, </strong><em>Glass</em><strong>, </strong><em>Mica</em><strong>, </strong><em>Olivine</em><strong>, </strong><em>Pyroxene</em><strong>, </strong><em>Oxides</em><strong>, </strong><em>Serpentines</em><strong> </strong>and<strong> </strong><em>Sulphides</em><em>)</em>. In addition to the <em>Samples_general_info </em>table, the <em>CatVolc_dating.xlsx </em>also includes radiometric/thermoluminescence dating information (<em>Dating</em>). Finally, in all three Excel files, we have incorporated a table with consulted references (<em>References</em><em>) </em>and a glossary of the acronyms used for the parameters included in the main and secondary tables (<em>Codes</em>). </p> <p> </p>
Geochemical and genomic data from the NEOM Brine Pool (Gulf of Aqaba)
<p>This workbook contains the raw data acquired from the sampling of cores and water collected at 1,800 m depth in the NEOM Brine Pool, Gulf of Aqaba. The file captures the geochronology of the long core (S1-S2), X-ray fluorescence scanning (S3), X-ray diffraction (S4), geochemical analyses of the core sediments and overlying bine, plus associated uncertainties, and measurement precision (S5), and genomics (S6).</p>
Rock magnetic data from IODP Exp. 382 Sites U1537 and U1538 to support Reilly et al. "A geochemical mechanism for >10 m offsets of magnetic reversals inferred from the comparison of two Scotia Sea drill sites"
<p>Rock magnetic data from IODP Exp. 382 Sites U1537 and U1538 to support Reilly et al. "A geochemical mechanism for >10 m offsets of magnetic reversals inferred from the comparison of two Scotia Sea drill sites"</p><p>Excel Files:</p><ul><li>U1537_CubeSummary_Zenodo.xlsx : Summary of NRM, ARM, IRM, and magnetic susceptibility investigations on U1537 cube samples</li><li>U1538_CubeSummary_Zenodo.xlsx : Summary of NRM, ARM, IRM, and magnetic susceptibility investigations on U1538 cube samples</li></ul><p>Zip Files:</p><ul><li>FORC_Data.zip : First order reversal curve data files in MicroMag format for samples discussed in paper</li><li>DCD_Data.zip : DC Demagnetization curve data files for samples discussed in paper</li><li>Hysteresis_Data.zip : Hysteresis Loops for samples discussed in paper</li><li>MPMS_Data.zip : Data collected on Magnetics Property Measurement System 3, including Field Cooled/Zero Field Cooled Curves, Low Temperature Cycling of Room Temperature IRM, and AC Susceptibility</li></ul><p> </p><p>NRM = Natural Remanent Magnetization; ARM = Anhysteretic Remanent Magnetization; IRM = Isothermal Remanent Magnetization</p>
geochemical data from UK and US produced water batch experiments
<p>Geochemical data set from batch experiments of UK and US shale gas produced water</p>
Geochemical evidence for high volatile fluxes from the mantle at the end of the Archean: Sample data
<p>This file describes the origin of samples and gives the original xenon data published in refs. 4, 5 and 8. The slopes of the fractionation lines are given in refs. 8 (Table S1), 5 (Tables 1 and S1) and 4 (Table S1). For the barite sample (Ref. 6, Table 1), Xe data were normalized to 132Xe since 130Xe could have been contributed by radioactivity products. In this case Δ129Xe was computed from 128Xe and 131,132Xe data. The Δ129Xe values were computed from the difference between the isotope fractionation slope (‰/u) and the 129Xe/130Xe values in deviation permil (‰) relative to the corresponding atmospheric isotope composition.</p>
Carbon-isotope, geochemical, and biostratigraphic data from the Anchor 3 well, Green Canyon protraction area, Gulf of Mexico
<p>Dataset that accompanies "Carbon-isotope chemostratigraphy, geochemistry, and biostratigraphy of the Paleocene-Eocene Thermal Maximum, deep-water Wilcox Group, Gulf of Mexico (U.S.A.)"</p> <p>To be submitted to <em>Climate of the Past</em></p>
LILBID spectra and geochemical data shown in article "Detection of Phosphates Originating from Enceladus' Ocean" by Frank Postberg et al. (2023)
<p>Laser Induced Liquid Beam Ion Desorption (LILBID) mass spectra of phosphates and data of geochemical experiments, shown in article "Detection of Phosphates Originating from Enceladus’ Ocean" by Frank Postberg et al. (2023), published in Nature.</p>
Magnetic susceptibility, geochemical data from SDL section
<p>The Miocene Climatic Optimum (MCO) disrupted long-standing cooling trend with a significant temperature rise due to elevated greenhouse gases. However, the dynamics of hydrological circulation and orbital influences during this epoch in eastern Asia remain underexplored. Employing magneto-cyclostratigraphic chronology, we analyzed samples from a 120-meter-thick section in inland Asia. Our findings highlight the profound influence of two orbital cycles on the MCO: the dominant 405-kyr eccentricity and the subtler 173-kyr obliquity band. These patterns shifted the summer movement of the Intertropical Convergence Zone in East Asia, impacting northward moisture transport. Notably, we identified six drought events correlating with global phenomena like Antarctic cooling events and the Monterey Excursion. Enhanced by latitudinal insolation gradients, our results provide insights into climate variations on both regional and global scales, with implications for past and potential future scenarios.</p>
Eight Mile Lake Research Watershed, Thaw Gradient: Geochemical data from perched waters collected from boreholes on Gradient site during August-September 2019
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Geochemical analysis of water perched on the permafrost table complements the overarching aim of this study by targeting the organic component transported laterally from the soils. The association between DOC and mineral elements in the waters perched on the permafrost table was determined. These mineral element-organic carbon associations must be accounted for when considering the stability of organic carbon transported laterally from the catchment.
Eight Mile Lake Research Watershed, Thaw Gradient: Geochemical data collected daily in Panguingue Creek during spring thaw and summer rain events, 2018-2019
In this larger study, we are asking the question: Is old carbon that comprises the bulk of the soil organic matter pool released in response to thawing of permafrost? We are answering this question by using a combination of field and laboratory experiments to measure radiocarbon isotope ratios in soil organic matter, soil respiration, and dissolved organic carbon, in tundra ecosystems. The objective of these proposed measurements is to develop a mechanistic understanding of the SOM sources contributing to C losses following permafrost thawing. We are making these measurements at an established tundra field site near Healy, Alaska in the foothills of the Alaska Range. Field measurements center on a natural experiment where permafrost has been observed to warm and thaw over the past several decades. This area represents a gradient of sites each with a different degree of change due to permafrost thawing. As such, this area is unique for addressing questions at the time and spatial scales relevant for change in arctic ecosystems. Geochemical analysis of river waters complements the overarching aim of this study by targeting the organic component transported laterally from the catchment and understanding the association between this component and mineral elements. These mineral element-organic carbon associations must be accounted for when considering the stability of organic carbon transported laterally from the catchment.
Geochemical data for fluids collected in Acoculco Geothermal Field
<p>The dataset <strong>CO<sub>2</sub>_flux_measurements_Acoculco </strong>contains data on CO<sub>2</sub> fluxes, coordinates (UTM), air temperature, atmospheric pressure measured in selected sites belonging to the Acoculco Geothermal Field: in particular, the areas named Lagunilla, Alcaparrosa, Los Azufres and also the area between them were investigated. CO<sub>2</sub> flux measurements were performed using the accumulation chamber method.</p> <p>The dataset <strong>Field_meas_Acoculco_waters</strong> reports the ID, coordinates (UTM), Altitude (m.a.s.l.), temperature, flow rate, pH, Electrical Conductivity and Dissolved Oxygen for water samples collected in the central sector of the Acoculco geothermal field, but also in other sectors located inside and outside the Acoculco caldera. Total depth is also included for samples collected from water wells.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_waters</strong> reports major and minor chemical components and stable isotopic composition for hydrogen and oxygen determined in collected water samples in Acoculco geothermal field. Calculated partial pressures (in bars and log<sub>10</sub>-value) and CO<sub>2</sub> concentrations of dissolved CO<sub>2</sub> were also included.</p> <p>The dataset <strong>Chemical_isotopic_data_Acoculco_gas </strong>reports chemical and isotopic data for collected samples from Los Azufres and Alcaparrosa natural gas manifestations.</p>
Namibian reference ochres description and geochemical data
<p>The datasets present the macroscopic description and ICP-OES and ICP-MS geochemical data of Namibian reference ochres. </p>
Insights into the operation of the solid Earth system from analysis of compiled geochemical data (Video)
<p>This is the first session video recording of the Goldschmidt 2020 Virtual Workshop: Earth Science meets Data Science - Services & Systems, Policies & Procedures, Tools & Techniques for Geochemistry. Moderated by Kerstin Lehnert (Columbia University)</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.