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493 results for “glacial”
Arctic-boreal bryophyte dynamics since the last glacial from ancient DNA metabarcoding
<p>A total of 26 lake-sediment cores collected from 26 study sites spanning the glacial and interglacial transition are used in this study. These sites are distributed across Siberia, Beringia, and Alaska regions, with a gradient of vegetation types dominated by tundra in the northern region and transitioning to boreal forest in the southern extents. DNA samples from the sediment core were analysed with a standard sedimentary ancient DNA metabarcoding pipeline (see additional description), which resulted in a raw dataset of all DNA plant sequences, which were then filtered for Bryophytes (Bryophyte DNA dataset). The Bryophyte DNA dataset contains 120 unique ASV. Samples in the Bryophyte DNA dataset are then grouped into 1000-year time slices and are subsequently resampled to a base count of 500 read counts for each time slice. After that, a Bryophyte trait datastet is assigned to the Bryophyte DNA dataset. </p> <p> </p> <h3>Input files</h3> <ul> <li><strong>Excel file with all data used in the R-Script:</strong> "Bryophytes_data.xlsx"</li> <li><strong>WorldClim 2.0 dataset with mean temperatures of Warmest Quarter</strong> (https://www.worldclim.org/; Fick, S.E. and R.J. Hijmans, 2017. WorldClim 2: new 1km spatial resolution climate surfaces for global land areas. <a href="https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.5086">International Journal of Climatology 37 (12): 4302-4315</a>): "wc2.1_30s_bio_10.tif"</li> </ul> <h3>R script</h3> <ul> <li><strong>R-Script:</strong> "2025-01-14_R-Script_ arctic_boreal_bryophyte_dynamics_DNA_metabarcoding.R"</li> </ul> <h3>R outputs</h3> <ul> <li><strong>resampled Bryophyte metabarcoding percentage dataset with ASV:</strong> "2025-01-14_bryophyta_resampled_percentages_mean_100runs_sequences.csv"</li> <li><strong>resampled Bryophyte metabarcoding percentage dataset with unique scientific names: </strong>"2025-01-14_bryophyta_resampled_percentages_mean_100runs_scientific_names.csv"</li> <li><strong>GBIF taxa occurrences with WorldClim temperature data: </strong>"2025-01-14_gbif_taxa_occurrences_seqtypes_climate.csv"</li> </ul> <p> </p>
Methane concentrations and oxidation rates in land-terminating glacial runoff: measurements from three glacial rivers and a paraglacial lake in Iceland and a literature review
<div> <p>This dataset contains methane measurements from Icelandic lakes and rivers during the summer of 2018 and 2019. This includes data from net methane oxidation assays with sediment and overlying water from one paraglacial lake and one glacial river, and surface methane concentration data from grab samples in 3 glacial streams and 15 Icelandic lakes (1 of which is paraglacial). The dataset also contains methane concentration data from a synthesis of relevant aquatic ecosystems, used to compare against the original measurements collected. </p> </div> <div> <p>Data and Literature Review Synthesis is supplement to Strock et al. 2024 <em>Oxidation is a potentially significant methane sink in land-terminating glacial runoff</em> published in Nature Scientific Reports. </p> <div> <p>This study was funded by: National Geographic Society Changing Polar Systems grant (CP4-162R-18); In-kind support from the U.S. Geological Survey; Dickinson College Research and Development; Churchill Exploration Fund at Dickinson College </p> </div> </div>
PALEODEM/Late Glacial and Early Holocene human demographic responses to climatic and environmental change in Atlantic Iberia
<p>This data files and R markdown scripts have been used in the meta-analysis of chronological and subsistence patterns of Atlantic hunter-gatherer groups between Late Glacial and Early Holocene in Atlantic Iberia.</p> <p>They correspond to the following reference: </p> <p>McLaughlin, T.R., Gómez-Puche, M., Cascalheira, J., Bicho, N.F., Fernández-López de Pablo, J. 2020. Late Glacial and Early Holocene human demographic responses to climatic and environmental change in Atlantic Iberia. <em>Phil. Trans. R. Soc. B. </em>(revised submitted version 29/04/2020)</p> <p>We specify the content of each file further down:</p> <ol> <li>Analysis_markdown.Rmd – R markdown file with the scripts to reproduce the analyses.</li> <li>Analysis_markdown.pdf – R markdown file in pdf format to reproduce the analyses.</li> <li>database_references.docx –A separate text file that comprises the extended bibliographic references used as source of the archaeological radiocarbon archaeological and isotopic data sets analyzed.</li> <li>Datelist.csv – spreadsheet that contains the 371 radiocarbon dates used as raw data to run the scripts. The last column of the table includes the bibliographical reference of the archaeological data compiled.</li> <li>ngrip.csv – NGRIP GICC05 paleotemperature record based on oxygen isotope series from Rasmussen SO <em>et al.</em>2006 A new Greenland ice core chronology for the last glacial termination. <em>J. Geophys. Res. Atmos.</em><strong>111</strong>. (doi:10.1029/2005JD006079) and Andersen KK <em>et al.</em>2006 The Greenland Ice Core Chronology 2005, 15–42ka. Part 1: constructing the time scale. <em>Quat. Sci. Rev.</em>25, 3246–3257. </li> <li>Pailler_and_Bard_42.csv­­ – Sea surface temperature data of the Atlantic margin of Iberia based on the paper: Pailler D, Bard E. 2002 High frequency palaeoceanographic changes during the past 140 000 yr recorded by the organic matter in sediments of the Iberian Margin. <em>Palaeogeogr. Palaeoclimatol. Palaeoecol.</em>181, 431–452. (doi:https://doi.org/10.1016/S0031-0182(01)00444-8)</li> <li>Paleodiet.csv – spreadsheet containing the published palaeodietary isotopic information of the human remains considered in this study.</li> <li>src.r – source r code of custom functions called upon this analysis by the R.markdown files. </li> </ol> <p>To reproduce analyses reported in the McLaughlin et al Phil Trans paper, donwload R_scripts and csv_files into the same folder. Open the *.rmd scripts in RStudio (https://www.rstudio.com), and run the scripts. </p> <p>The csv files can also be imported into R and used by the scripts. </p> <p> </p> <p> </p> <p> </p>
Last Glacial Maximum (LGM) Run for UVic2.9.10 (MOBI2.2) Input Data
<p>Input data required for a simulation of the Last Glacial Maximum (LGM) simulation with the OSU version of the University of Victoria climate model (version 2.9.10) with the Model of Ocean Biogeochemistry and Isotopes (MOBI2.2).</p>
Supplementary files for Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach
<p>Model input and output files associated with the manuscript entitled "Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach" that will be submitted to Journal of Geophysical Research.</p>
Seismic profiles, diatom and microfossil assemblages, and radiocarbon ages for constructing a post-glacial sea level curve from Fiordland, New Zealand
Two research cruises (12PL027 and 13PL018) were conducted aboard the University of Otago RV Polaris II in 2012 and 2013 to collect marine sediment cores and 2d seismic data as part of a collaborative research effort to study late-Pleistocene and Holocene environmental change in New Zealand. Data includes 4 Boomer seismic profiles, 4 CHIRP seismic profiles, seismic line GPS tracks, diatom assemblages (raw counts and relative abundances) and microfossil assemblages (raw counts and relative abundances), and radiocarbon ages from 4 marine sediment cores. The data used to construct a post-glacial sea level curve for Fiordland, New Zealand are also included, as well as data from published literature plotted for global comparisons. These data accompany the publication: Dlabola. E.K., Wilson, G.S., Gorman, A.R., Riesselman, C.R., and Moy, C.M. 2015. A post-glacial sea-level curve from Fiordland, New Zealand. Global and Planetary Change, 131, 101-114. https://doi.org/10.1016/j.gloplacha.2015.05.010
Ion concentrations in glacial meltwater streams, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic aqueous geochemical sampling program has been undertaken. A series of terrestrial water samples have been collected and analyzed for major ion chemistry by ion chromatography. The concentrations of ions cover a wide range of total dissolved solids from the stream waters. This dataset shows concentrations of lithium, sodium, potassium, magnesium, calcium, iron, chlorine, bromine, silicon, fluorine, sulfate, and hydrogen ions found in various streams of the McMurdo Dry Valleys.
Nitrogen and phosphorus concentrations in glacial meltwater streams, McMurdo Dry Valleys, Antarctica (1993-2023, ongoing)
As part of the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, a systematic sampling program has been undertaken to monitor the glacial meltwater streams in that region. This table contains macronutrient concentrations (nitrate, nitrite, ammonium, soluble reactive phosphorus) found at specific locations in McMurdo Dry Valley streams.
Ash-free dry mass data from drift net experiments in glacial-melt streams of Fryxell Basin, McMurdo Dry Valleys, Antarctica, during the 2022-2023 austral summer
During the 2022-2023 austral summer, 12 drift net experiments were conducted in four glacial-melt streams—Aiken Creek, Green Creek, Lost Seal Stream, and Von Guerard Stream—to quantify particulate organic matter (POM) flux from streams to downstream lakes. Streams are located in Fryxell Basin, within Taylor Valley in the McMurdo Dry Valleys of Antarctica. Drift nets were deployed near the mouth of each stream and sampled every 4 to 12 hours to collect POM. Collected as part of the McMurdo Dry Valleys LTER project, these data provide insight into the temporal variability of organic material transport in polar desert ecosystems.
Alpine ice sheet glacial cycle simulations aggregated variables
<p>These data contain time-integrated and otherwise time-reduced glacier model output variables.</p> <p><strong>Reference:</strong></p> <ul> <li>Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, <em>The Cryosphere</em>, 12, 3265-3285, doi:<a href="https://doi.org/10.5194/tc-12-3265-2018">10.5194/tc-12-3265-2018</a>, 2018.</li> </ul> <p><strong>File names:</strong></p> <pre><code>alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.agg.nc</code></pre> <ul> <li>Horizontal resolution: <ul> <li><em>1km</em>: 1 km horizontal resolution</li> <li><em>2km</em>: 2 km horizontal resolution</li> </ul> </li> <li>Temperature forcing: <ul> <li><em>epic</em>: EPICA ice core temperature forcing</li> <li><em>grip</em>: GRIP ice core temperature forcing</li> <li><em>md01</em>: MD01-2444 core temperature forcing</li> </ul> </li> <li>Precipitation forcing: <ul> <li><em>cp</em>: constant precipitation</li> <li><em>pp</em>: palaeo-precipitation reduction</li> </ul> </li> </ul> <p><strong>Data format:</strong></p> <p>The data use compressed netCDF format. For quick inspection I recommend ncview. Conversion to GeoTIFF (and other GIS formats) can be achieved with e.g. GDAL::</p> <pre><code>gdal_translate NETCDF:filename.nc:variable filename.variable.tif</code></pre> <p>The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. To convert all variables to separate files use:</p> <pre><code>gdalinfo $filename | grep NETCDF | cut -d '=' -f 2 | egrep -v '(lat|lon|time_bounds)' | while read sub do gdal_translate $sub ${filename%.nc}.${sub##*:}.tif done</code></pre> <p>Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see <a href="https://doi.org/10.5281/zenodo.1423175">continuous</a> variables.</p> <p><strong>Changelog:</strong></p> <ul> <li>Version 2: <ul> <li>Add age coordinate in kiloyears (ka) before present.</li> <li>Use ka units for covertime, deglacage and maxthkage.</li> </ul> </li> <li>Version 1: <ul> <li>Initial version</li> </ul> </li> </ul>
Raw data for: Pressure and inertia sensing drifters for glacial hydrology flow path measurements
<p>Raw data for paper</p> <p>Title: Pressure and inertia sensing drifters for glacial hydrology flow path measurements</p> <p>Authors: A.Alexander, M.Kruusmaa, J.A. Tuhtan, A.J. Hodson, T.V. Schuler, A. Kääb</p> <p>Journal: The Cryosphere</p> <p>Year, 2020</p>
Glacial Lake Dataset for the Third Pole
<p>A complete glacial lake dataset compiled for the whole Third Pole, in which 63,727 glacial lakes (≥900 m<sup>2</sup>) with a combined area of 2,122.01 ± 1.26 km<sup>2</sup> were included. Please see data description document for more information.</p>
Model output from the Bern3D model of pre-industrial and Last Glacial Maximum
<p>The here presented datasets contain the model results of the Bern3D model to be published in Pöppelmeier et al. (2021) <em>Climate of the Past Discussions</em> (https://doi.org/10.5194/cp-2020-135).</p> <p>The datasets of the five performed simulations are presented: PI_CTRL, LGM_CTRL, LGM_BS, LGM_BS+wind, LGM_BS+wind+tidal. For detailed information on the model set ups please see section 2 and Table 1 of Pöppelmeier et al. (2021).</p>
Global glacial lake bathymetry data
<p>This dataset collects globally published bathymetric data for glacial lakes, recording attributes such as glacial lake name, location, type, year of survey, corresponding area, volume, maximum water depth, and source.</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>
Sea ice proxy data from "Sea ice fluctuations in the Baffin Bay and the Labrador Sea during glacial abrupt climate changes"
<p>Dataset s1: Sub-decadal sodium, bromine, and bromine enrichment data from NEEM ice core between 34-42 ka b2k.</p> <p>Dataset s2: Magnetic susceptibility, total organic carbon (TOC) and biomarkers data (IP25, brassicasterol, HBI-III) from the Eirik Drift core GS16-204-23CC, covering 31-42 ka b2k.</p>
Cuzzone2024: Ice sheet model simulations reveal polythermal ice conditions existed across the NE USA during the Last Glacial Maximum
<p>Here you will find model output associated with Cuzzone et al. (2024) for simulations conducted to reconstruct the Last Glacial Maximum conditions across the Northeast United States. Model output is available as: 1) Simulated Ensemble Mean LGM Ice Thickness, 2.) Simulated Ensemble Mean LGM Velocity 3.) Simulated Ensemble Mean LGM Velocity in X and Y direction, and 4.) The simulated LGM thermal state, shown as the Model ensemble agreement for warm and cold-based ice.</p> <p>These outputs are given for 3 model domains: 1) The Northeast USA (NE Domain), 2) The Adirondack Mountains (ADK), 3) The White Mountains (White), and 4) Mount Katahdin (Kat).</p> <p>Model output is given in .tif format, and the Map Projection is ESPG: 4326 , WGS 84</p> <p>Units for model output is:</p> <p>1) Ice Thickness: meters</p> <p>2) Velocity (vel, vx, vy): meters/yr</p> <p>3) Model Thermal Agreement: -5 to 5</p> <p>-5: All ensemble members agree cold-based ice</p> <p>-4: 4/5 ensemble members agree cold-based ice</p> <p>-3: 3/5 ensemble members agree cold-based ice</p> <p>-2: 2/5 ensemble members agree cold-based ice</p> <p>-1: 1/5 ensemble members agree cold-based ice</p> <p>0: 50% ensemble members either cold or warm-based</p> <p>1: 1/5 ensemble members agree cold-based ice</p> <p>2: 2/5 ensemble members agree cold-based ice</p> <p>3: 3/5 ensemble members agree cold-based ice</p> <p>4: 4/5 ensemble members agree cold-based ice</p> <p>5: 5/5 ensemble members agree cold-based ice</p>
Supplemental data for "The possible transition from glacial surge to ice stream on Vavilov Ice Cap"
<p>Data presented in the paper "The possible transition from glacial surge to ice stream on Vavilov Ice Cap".</p>
Database of Himalayan glacial lakes
<p>This dataset contains a shapefile of 2231 Himalayan glacial lakes ranging in size between 875 m<sup>2</sup> to 5.6 km<sup>2</sup>. The lakes were manually digitized using high-resolution imagery in GoogleEarth in 2015. The dataset has been mapped and used by <a href="https://doi.org/10.1088/1748-9326/11/7/074005">Schwanghart et al. (2016)</a>. In addition, the dataset contains a shapefile of the great circle that describes the Himalayan Arc (<a href="http://10.1130/dx.doi.org/0091-7613(2001)029<0791:HPITHA>2.0.CO;2">Bendick and Bilham, 2001</a>) as well as a polygon shape which segments the Himalayan arc along the the great circle into 99 polygon.</p> <p><strong>References</strong></p> <p>Bendick, R. and Bilham, R.: How perfect is the Himalayan arc?, Geology, 29, 791–794, <a href="https://doi.org/10.1130/0091-7613(2001)029<0791:HPITHA>2.0.CO;2">https://doi.org/10.1130/0091-7613(2001)029<0791:HPITHA>2.0.CO;2</a>, 2001.</p> <p>Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O.: Uncertainty in the Himalayan energy–water nexus: estimating regional exposure to glacial lake outburst floods, Environ. Res. Lett., 11, 074005, <a href="https://doi.org/10.1088/1748-9326/11/7/074005">https://doi.org/10.1088/1748-9326/11/7/074005</a>, 2016.</p>
Potential tree species distributions from the Last Glacial Maximum in North America
<p>Modern tree distributions modeled under current climate and predicted to past climate.</p> <p>Values of '2' represent presence.</p> <p>The column mark is current presence, while _20000 is 20 ka, _14000 is 14 ka, _13000 is 13 ka, etc.</p> <p>For quick download, the .dbf for each species can be joined to the shapefile (us_can_ecosub). Alternatively, download and use the zipped folder of shapefiles (glac_shapes)..</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.