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.
48
datasets available to search
ShareScore release 0.9.0
Dataset results
48 results for “Glacier change”
Data from: Compositional turnover and ecological changes related to the waxing and waning of glaciers during the Late Paleozoic ice age in ice-proximal regions (Pennsylvanian, western Argentina)
The late Paleozoic ice age (LPIA) had a profound effect on the biota. Despite much research having been focused on paleotropical regions or global-scale analyses, regional ecological changes have seldom been studied in ice-proximal basins. Here, I study the compositional turnover and diversity structure across the main Carboniferous glacial event recorded in western Argentina and the subsequent nonglacial interval. Brachiopod and bivalve data from western Argentina suggest that the transition from glacial to nonglacial climates caused major compositional changes. Turnover, however, was not uniform across the bathymetric gradient, being higher in deep environments. Because extirpation was concentrated in brachiopods, but immigration was similar in both clades, the taxonomic structure of the region was significantly modified. Although regional hierarchical diversity structure and occupancy distributions remained stable, dissecting the analysis in brachiopods and bivalves underscores that both clades had different responses to climate change. Brachiopods, on the one hand, show stability in the diversity structure and a very slight decrease in occupancies of intermediate genera, while bivalves show an important rise in diversity, both at the environment and regional scale, and an increase in genera with intermediate occupancies. The bathymetric diversity gradient was also modified from hump shaped with maximum diversity in the deep subtidal to a linear gradient with maximum values toward the offshore. However, relative compositional differences within environments remained stable, with maximum values at intermediate depths both in glacial and nonglacial intervals. Moreover, local-scale coexistence between brachiopods and bivalves changed in the nonglacial interval, showing significant segregation, which indicates relevant modifications in community assembly dynamics. Results from western Argentina highlight the magnitude of regional-scale ecological changes during the LPIA in ice-proximal regions, suggesting that the waxing and waning of glaciers was able to cause regional taxonomic turnover and medium-scale ecological changes even during intervals of relative macroevolutionary quiescence.
2020-2022-glacier-elevation-change-data-in-Muztag-Ata-and-Western-Nyainqentanglha-from-Pleiades-DEMs
<p>This data set provides outlier removed, gap filled elevation change values (in meters) of the glaciers in the Muztagh Ata and Western Nyainqentanglha massif in High Mountain Asia from 2020 to 2022.</p>
Data products from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska"
<p>DEMs, orthophotos, glacier outlines, historical velocity, model outputs, and ice-penetrating radar data from "An 85-year record of glacier change and impacts on future projections for Kennicott and Root Glaciers, Alaska". File structure is shown in the readme file.</p>
Databases and scripts for Calvo, et al. Assessing the effect of glacier runoff changes on basin runoff and agricultural production in the Indus, Amu Darya, and Tarim Interior Basins.
<p>This repository has the necessary script and databases to reproduce the figures and tables presented in Calvo et al. (in press) Assessing the effect of glacier runoff changes on basin runoff and agricultural production in the Indus, Amu Darya, and Tarim Interior Basins. Earth´s Future. Wiley.</p>
Supplementary code for: "Historical glacier change on Svalbard predicts doubling of mass loss by 2100"
<p>Code to perform the analysis in:</p> <p>Geyman, E.C., van Pelt, W., Maloof, A.C., Faste Aas, H., and Kohler, J., 2021. "Historical glacier change on Svalbard predicts doubling of mass loss by 2100." Nature.</p> <p>Abstract:</p> <p>The melting of glaciers and ice caps accounts for about one third of current sea level rise, exceeding the mass loss from the more voluminous Greenland or Antarctic Ice Sheets. The Arctic archipelago of Svalbard, which hosts spatial climate gradients that are larger than the expected temporal shifts over the next century, is a natural laboratory to constrain the climate sensitivity of glaciers and predict their response to future warming. Leveraging an archive of historical aerial images from 1936 and 1938, we use structure-from-motion (SfM) photogrammetry to reconstruct the 3D geometry of 1,594 glaciers across Svalbard. We compare these reconstructions to modern ice elevation data to derive the spatial pattern of mass balance over a >70-year timespan, allowing us to see through the noise of annual and decadal variability to quantify how variables such as temperature and precipitation control ice loss. We find a robust temperature dependence of melt rates, whereby a 1°C rise in mean summer temperature corresponds to a decrease in area-normalized mass balance of -0.27 m yr<sup>-1</sup> of water equivalent. Finally, we design a space-for-time substitution to make first-order predictions of 21st century glacier change across Svalbard. Even in the most modest scenario (a ~1.4°C rise in mean summer temperature by 2100), we predict average glacier thinning rates in 2010-2100 of -0.67 m yr<sup>-1</sup>, approximately twice the 1936-2010 rates.</p>
Derived products from "Beyond glacier wide mass balances: parsing seasonal elevation change into spatially-resolved patterns of accumulation and ablation at Wolverine Glacier, Alaska"
<p>Distributed mass balances, emergence velocities, firn compaction rates, and co-registered 10 m resolution DEMs from "Beyond glacier wide mass balances: parsing seasonal elevation change into spatially-resolved patterns of accumulation and ablation at Wolverine Glacier, Alaska" (in review) (Zeller et al., 2022).</p>
Monthly changes in glacier surface elevation on HMA
<p><a href="https://zenodo.org/api/files/5c8e256d-a2db-43aa-9f1f-d421b1881b58/Time_Series_Glacier_Surface_Elevation.rar">Time_Series_Glacier_Surface_Elevation.rar</a> is Monthly changes in glacier surface elevation on HMA by ICESat-2 from Oct. 2018 to Nov. 2020.</p> <p><a href="https://zenodo.org/api/files/5c8e256d-a2db-43aa-9f1f-d421b1881b58/F477_c.rar">F477_c.rar</a> is the software used to calculate the undulation between the WGS84 ellipsoid (GPS height) and the EGM96 geoid (mean sea level) in C code (namely, f477.f).</p>
Ground Freezing Index (GFI) and the relative change of the minimum seasonal velocity compared to the mean velocity between 2005 and 2017 at Becs-de-Bosson rock glacier in the Swiss Alps
<p>This dataset contains the Ground Freezing Index (GFI) and the relative change of the minimum seasonal velocity compared to the mean velocity between 2005 and 2017 at Becs-de-Bosson rock glacier in the Swiss Alps. Velocity data is measured by GNSS surveys. GFI is the sum of the daily negative GSTs during the entire freezing season, indicating the coldness of the winter temperature.</p>
Datasets on multiparameter glacier change dynamics for the Jankar Chhu Watershed, Lahaul Himalaya, India
<p>Characterization of glacier changes in the surface area, terminus, equilibrium line altitude (ELA), elevation, and velocity was worked out for the Jankar Chhu Watershed (JCW) of Lahaul Himalaya using freely available satellite remote sensing data and the limited number of field observations. We studied changes using Corona (1971), Landsat (1993‒2017), Sentinel 2A (2016), the SRTM Digital Elevation Model (DEM; 2000), and the global TanDEM‒X DEM (2014). Our results showed that changes in glacier area (‒14.7 ± 4.3 km²), terminus (‒4.7 ± 0.4 m a¯¹), and ELA (~ 20 m rise) between 1971 and 2016 are smaller than previously reported. Glacier lake area increased by ~0.3 km² during 1971‒2016. An intricate pattern of mass changes across the JCW was observed, with surface lowering on an average of ‒0.7 ± 0.4 m a¯¹ which equates to a geodetic mass balance of ‒0.6 ± 0.4 m w.e. a¯¹ during 2000‒14. The computed glacier surface velocities (1971‒2017) reveal nearly stagnant debris-covered ablation zone but the dynamically active main trunk. The present study provides valuable insights into the recent multiparameter glacier variations, which are of critical importance to assess the future glacier dynamics on a regional scale in areas like the present one.</p>
Projections of Greenland periphery glaciers and ice caps's change
<p>Scripts and data for Projections of Greenland periphery glaciers and ice caps’s change by using Open Global Glacier Model.</p>
Support Materials for Manuscript "Climate change induces rapid growth of dead ice in Asian glaciers" Review
<div>Description of support materials of paper "Climate change induces rapid growth of dead ice in Asian glaciers".</div> <div> </div> <div>The detailed description of files is below:</div> <div> </div> <div>· Total.csv</div> <div>The subregional statistics of HMA dead ice area and mass in 2100 under different SSPs.</div> <div> </div> <div>· Folder ./Inventory</div> <div>Interdecadal potential dead ice inventory in HMA.</div> <div> </div> <div>· Folder ./Individual</div> <div>Interdecadal statistics of individual glaciers' dead ice in HMA for their ablation (unit: Gt), area (unit: km2) and mass (unit: Gt).</div>
Data from: Compositional turnover and ecological changes related to the waxing and waning of glaciers during the Late Paleozoic ice age in ice-proximal regions (Pennsylvanian, western Argentina)
Open the record for dataset details and reuse information.
Elevation change time series, Kjer and Hayes glacier drainage basins, NW Greenland
<p>This data set includes ice sheet elevation time series reconstructed at 19 locations in the Kjer and Hayes glacier drainage basins. Time series were derived from Digital Elevation Models (DEMs) and altimetry data collected from 1993 to 2015 by using the SERAC approach (Schenk and Csatho, 2012).</p> <p>Reference: Schenk, T. & Csatho, B. A New Methodology for Detecting Ice Sheet Surface Elevation Changes From Laser Altimetry Data. <em>Geoscience and Remote Sensing, IEEE Transactions on</em> <strong>50,</strong> 3302–3316 (2012).</p>
Surface elevation change for Khumbu Glacier, 1984–2015
<p>Digital Elevation Model (DEMs) of Difference showing the change in surface elevation of Khumbu Glacier, Nepal, between 1984–2015 and 2000–2015 derived through the differencing of high-resolution DEMs generated from 0.5 m ground resolution aerial photographs (1984 CE) and WorldView-1 and WorldView-2 imagery with a spatial resolution of 0.46 m (2015 CE).</p>
Predicting hydrologic responses to climate changes in highly glacierized and mountainous region Upper Indus Basin
<p><span>The Upper Indus Basin (UIB) is a major source of supplying water to different areas because of snow and glaciers melt and</span><span> is also enduring the regional impacts of global climate change. The expected changes in temperature, precipitation, and snowmelt </span><span>could be reasons for further escalation of the problem. </span><span>Therefore, estimation of hydrological processes </span><span>is </span><span>critical for UIB. The objectives of this paper were to estimate the impacts of climate change on water resources and future projection for surface water under different climatic scenarios using Soil and Water Assessment Tool (SWAT). The methodology includes</span><span>:</span><span> (i) development of SWAT model using </span><span>land cover, soil and meteorological data; (ii) calibration of the model using daily flow data from </span><span>1978-1993; (iii) model validation for the time 1994-2003; (iv) bias correction of Regional Climate Model (v) </span><span>utilization of </span><span>bias corrected RCM for future assessment under RCP4.5 and RCP8.5 </span><span>for mid (2041-2070) and late century (2071-2100). The results of the study revealed a strong correlation between simulated and observed flow </span><span>with R<sup>2</sup> and NSE equals 0.85 each for daily flow</span><span>. For validation, R<sup>2</sup> and NSE were found to be 0.84 and 0.80 respectively. Compared to baseline period (1976-2005), the result of RCM showed an increase in temperature ranging from 2.36°C to 3.50°C and 2.92°C to 5.23°C for RCP4.5 and RCP8.5 respectively, till the end of 21<sup>st</sup> century. Likewise, the increase in annual average precipitation is 2.4% to 2.5% and 6.0% to 4.6% (mid to late century) under RCP 4.5 and 8.5 respectively. The model simulation results for RCP4.5 showed increase in flow by 19.24% and 16.78% for mid and late century respectively. For RCP8.5, the increase in flow is 20.13% and 15.86% during mid and late century respectively. The model was more sensitive towards available moisture and snowmelt parameters. Thus, SWAT model </span><span>could </span><span>be used as effective tool for climate change valuation and for sustainable management of water resources in future.</span></p>
Thwaites and Pine Island Glacier change 2016-2021
<p>Visualization of <a href="https://www.esa.int/Applications/Observing_the_Earth/Copernicus/Sentinel-1">Sentinel</a> 1 radar images using <a href="https://matplotlib.org/cmocean/">cmocean</a> ice colourmap, similar to the approach used by <a href="https://www.pnas.org/content/117/40/24735/tab-figures-data">Lhermitte</a>. Data from <a href="https://www.nasa.gov/mission_pages/Grace/index.html">GRACE</a> was processed by <a href="https://data1.geo.tu-dresden.de/ais_gmb/index.html#grid">TU Dresden</a>. Funded by Rijkswaterstaat KPP. </p>
Caucasus glacier mass balance and thickness changes in 2000-2019
<p>In this study, we used glacier mass balance and thickness data obtained from geodetic method by Hugonnet et al. (2021) to clarify the response of region wide glacier mass balance to climate change in the Greater Caucasus over the last two decades (2000‒2019). We also analyze the long-term spatio-temporal glacier surface elevation and specific mass change for the regional, river basin, and individual glaciers. Besides, we provide a key dataset (shp file) that can be useful for further studies, including for example, hydrological modeling of runoff changes, as well as for the implementation of water management plans in this region.</p>
Monthly glacier mass changes from CryoSat-2 radar altimetry
<p>We generate a record of ice loss across glaciers globally for the first time from CryoSat-2 swath interferometric radar altimetry. CryoSat-2’s orbital sub-cycle of 30 days allows us to resolve changes at high temporal resolution for Alaska, Arctic Canada North and South, Greenland periphery glaciers, Iceland, Svalbard, Franz Josef Land, Novaya Zemlya, Severnaya Zemlya, High Mountain Asia, Southern Andes and Antarctic periphery glaciers between 2010 and 2020.</p>
Svalbard marine-terminating glaciers change and related geoinformation (1936-2019)
<p>The dataset supports the results published in the paper Kavan & Strzelecki (2023) Glacier decay boosts formation of new Arctic coastal environments – perspectives from Svalbard" in Land Degradation & Development.</p> <p>This study is a contribution to the National Science Centre project ‘GLAVE’ (Award No. UMO-2020/38/E/ST10/00042).</p>
Map of the rate of elevation change of Mont-Blanc glaciers derived from Pléiades stereo-images
<p>This collection contains three map of elevation changes derived form Pléiades images acquired in 2012, 2021 and 2022 over the Mont-Blanc Massif (Alps) with a horizontal grid spacing of 4 m. They were derived from stereo-pairs acquired 19 August 2012, 15 August 2021, 12 October 2022, 8 August 2022 and 5 October 2022. No data are indicated by the -9999 value.</p> <p>We generated 4-m DEMs from five Pléiades stereo-pairs using the semi-global matching algorithm of the Ames Stereo Pipeline (Beyer et al., 2018) and the set of parameters defined in Deschamps-Berger et al. (2020). The DEMs were first coregistered on stable terrain, masking out glacierized areas using a glacier inventory from year 2015 (Paul et al., 2020). Spatially-coherent biases in the elevation difference maps were next corrected using a polynomial fit across-track and a spline fit in the along-track direction (Falaschi et al., 2023). </p> <p>Pléiades stereo-images were obtained thanks to DINAMIS Project, for “Dispositif Institutionnel National d’Approvisionnement Mutualisé en Imagerie Satellitaire”, a French platform that acquires and distributes very high resolution Earth satellite imagery for French and foreign institutional users under specific subscription conditions.</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.