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42 results for “Ground ice”
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>
Ground ice content predictions for the Northern Hemisphere permafrost region at 1-km resolution, version 1.1
<p>Ground ice content is one of the least known characteristics of the permafrost-affected soils in the Northern Hemisphere. At the same time, ground ice content exerts a crucial effect on the thermal response of permafrost to changing climate and environmental conditions, and dictates the permafrost degradation-related geomorphic, hydrologic, and ecological processes, including thermokarst. This dataset presents numerical estimates of volumetric ice content over the permafrost region at a 1-km spatial resolution. The predictions are representative of pore and segregated ice contents in the topmost five meters of permafrost. We use compilations of field measurements of ground ice contents from across the permafrost region to train statistical models and to predict volumetric ice content with the aid of high-resolution geospatial data on climatic, soil and topography conditions. The dataset facilitates assessments of conditions of changing permafrost landscapes at an improved spatial and thematic resolution.</p>
Dataset for the paper "Ephemeral grounding on the Pine Island Ice Shelf, West Antarctica, from 2014 to 2023"
<p>This code and related datasets are used for generating the figures for the paper "Ephemeral grounding on the Pine Island Ice Shelf, West Antarctica, from 2014 to 2023". Includes corrected REMA DSM stripes at the central ice shelf region of Pine Island Ice Shelf, the double differential vertical displacement results from 2014 to 2023 which cazlculated from the offset tracking results output from GAMMA software. Other dataset for other analysis are also included in the ZIP file. Each MATLAB codes in MATLAB_function.zip includes the discriptions that guide the user how to used it and how to find the dataset that used for processing. Some sample files are provided in data_and_results.zip that can let user test the code easily. These data can be accessed after the paper is accepted.</p> <p> </p>
Antarctic Ice Sheet grounding line discharge from 1996 to 2024
<p>This dataset provides estimates of grounding line discharge from the Antarctic Ice Sheet and all of it's drainage basins, as described in the following pre-print (under review):</p> <p>Davison, B. J., Hogg, A. E., Slater, T., Rigby, R., and Hansen, N.: Antarctic Ice Sheet grounding line discharge from 1996–2024, Earth Syst. Sci. Data, 17, 3259–3281, https://doi.org/10.5194/essd-17-3259-2025, 2025.</p> <p>Check the README/UserGuide for summaries of what each .zip file includes</p> <p> </p> <p><strong>Update notes</strong></p> <ul> <li>Updated through November 2024</li> <li>Added BedMap3 </li> </ul> <p> </p> <p>Any questions, comments or suggestions, send them to: b.j.davison@sheffield.ac.uk</p> <h3> </h3> <p> </p>
Supplementary data for 'Melting and refreezing in an ice shelf basal channel at the grounding line of the Kamb Ice Stream, West Antarctica' Whiteford et al 2022
<p>These data are described in detail by 'Melting and refreezing in an ice shelf basal channel at the grounding line of the Kamb Ice Stream, West Antarctica' Whiteford et al 2022.</p> <p>'ApRES dataset.zip' contains raw ApRES data and processed results from a spatial survey of basal mass balance, detailed in Sections 2.2.4 and 3.2.2 of the above paper. README.md describes the file contents.</p> <p>'radar_dataset.tar.gz' contains raw data from a low frequency radar survey profiling ice thickness, detailed in Section 2.2.1 of the above paper.</p> <p> </p> <p>'channel_base_surface_map' contains six files. *_Ice_thickness is raster data of an estimation of ice thickness in the area. This is produced through processing radar data 'radar_dataset.tar.gz' and interpolation, described in Sections 2.2.2 and 3.1.2. *_REMA_surf is raster data of the ice surface, sampled a REMA strip from 9 November 2016 (Howat 2019). Ice_base is raster data calculated by subtracting the ice thickness from this surface. *_x_grid and *_y_grid are the x and y UTM coordinates accompanying the raster data, in Antarctic Polar Stereographic projection. *_extent is the x and y extent of the area covered by raster data.</p> <p>Reference:</p> <p>Howat, I. M., Porter, C., Smith, B. E., Noh, M.-J., & Morin, P. (2019). The Reference Elevation Model of Antarctica. Cryosphere, 13 (2)</p>
Ground-penetrating radar and shallow firn cores from Devon Ice Cap, Canadian Arctic
<p>GPR data and firn cores were collected over Devon Ice Cap, Canadian Arctic in May 2015.</p> <p>-----------------------------------------------------------------</p> <p><strong>Firn cores</strong></p> <p>Six ~11 m long firn cores were drilled using a Kovacs drill (9 cm diameter) along the GPR profiles. Pictures were taken of the firn cores, which were subsequently used to log the firn facies. From each core, three sections at different depths that did not include ice layers were weighted with a digital scale and used to calculate the firn density. At each firn core location, the snow depth was recorded, as well as at an additional location where a snow pit was dug (SPB1).</p> <p><em>DIC_firn_cores_2015_density.xlsx</em>: Firn core density measurements. Three measurements were taken from each core, using ice-free sections. </p> <p><em>DIC_firn_cores_2015_stratigraphy.xlsx</em>: Firn stratigraphy for each core location, derived from the firn core pictures. F stands for firn, I for ice layer, and P for percolation pipe/feature (ice in the firn core that does not present as an ice layer throughout the core diameter).</p> <p><em>DIC_snowdepth_2015.xlsx</em>: Snow depth measurements at each core location.</p> <p><em>Firn_core_pictures.zip</em>: Pictures of the firn cores taken with infrared and visible light cameras.</p> <p>-----------------------------------------------------------------</p> <p><strong>GPR data</strong></p> <p>GPR data were collected with a PulseEKKO Noggin radar (Sensors & Software Inc.) with 500 MHz center frequency antennae (i.e., 0.6 m wavelength). The antennae were mounted on a plastic sled towed by snowmobile, generating a data set sampled every ~0.4 m along track. Positioning was obtained with a Leica Geosystems GPS system providing a 25 cm RMS accuracy.</p> <p>Processing of the GPR data was performed in Matlab and included dewow filtering, time-zero shift, background removal, Butterworth band-pass filtering and the application of a gain function.</p> <p><em>PulseEkko_RawData</em>: Folder containing the raw PulseEKKO GPR and GPS files.</p> <p><em>PulseEkko_ProcessedData</em>: Contains the processed GPR data as .mat files. Description of the data files can be found in <em>ProcessedData_readme.txt</em>.</p> <p> </p>
Circum-Antarctic data used in "Tipping point behaviour of ice-sheet grounding-zone melting due to ocean water intrusion" by Bradley and Hewitt
<p>The file 'Antarctica-data.mat' contains the following fields:</p><p>'x' [units: m] x position of grid points</p><p>'y' [units m] y position of grid points</p><p>'tf_max' [units: C] maximum thermal forcing from Adusumilli et al. 2020 (doi: https://doi.org/10.1038/s41561-020-0616-z)</p><p>'H' [units: m] ice thickness from Bedmachine V3</p><p>'B' [units: m] bed elevation from Bedmachine V3</p><p>'mask' [units: n/a] Bedmachine V3 mask</p><p>'isedge' [units: n/a] Logical array with 1 corresponding to edges of ice shelves and 0 otherwise</p><p>'isgl' [units: n/a] Logical array with 1 corresponding to grounding line points and 0 otherwise</p><p>'isfront' [units: n/a] Logical array with 1 corresponding to ice fronts and 0 otherwise</p><p>'vx' [units: m/a] Ice velocity in the x-direction from ITS_LIVE 240m mosaic</p><p>'vy' [units: m/a] Ice velocity in the y-direction from ITS_LIVE 240m mosaic</p>
Widespread seawater intrusions beneath the grounded ice of Thwaites Glacier, West Antarctica
<p>Warm water from the Southern Ocean has a dominant impact on the evolution of Antarctic glaciers and in turn on their contribution to sea level rise. Using a continuous time series of daily-repeat satellite synthetic-aperture radar interferometry data from the ICEYE constellation collected in March-June 2023, we document an ice grounding zone, or region of tidally-controlled migration of the transition boundary between grounded ice and ice afloat in the ocean, at the main trunk of Thwaites Glacier, West Antarctica, a strong contributor to sea level rise with an ice volume equivalent to a 0.6-m global sea level rise. The ice grounding zone is 6 km wide in the central part of Thwaites with shallow bed slopes, and 2 km wide along its flanks with steep basal slopes. We additionally detect irregular seawater intrusions, 5-10 cm in thickness, extending another 6 km upstream, at high tide, in a bed depression located beyond a bedrock ridge that impedes the glacier retreat. Seawater intrusions align well with regions predicted by the GlaDS subglacial water model to host a high-pressure distributed subglacial hydrology system in between lower-pressure subglacial channels. Pressurized seawater intrusions will induce vigorous melt of grounded ice over kilometers, making the glacier more vulnerable to ocean warming, and increasing the projections of ice mass loss. Kilometer-wide, widespread seawater intrusion beneath grounded ice may be the missing link between the rapid, past, and present changes in ice sheet mass and the slower changes replicated by ice sheet models. The dataset includes grounding line positions, all ICEYE radar interferograms and parameter files, files of tidal predictions and corrections for change in atmospheric pressure, and output products from the GlADS subglacial hydrology model.</p>
The Effect of Ground Ice Redistribution on the Martian Paleo-CO2 Cycle, David et al. 2024
<p>Dataset to produce plots for JGR paper "The Effect of Ground Ice Redistribution on the Martian Paleo-CO2 Cycle"</p> <p>1. Figure 2: "Ground ice distributions – MONS & modern MSIM" was produced using "icetable_gcm_GCM1182.mat" (ice table for Eq. case), "depth_static_H2OonMinDist_230723.mat" (ice table for MONS case), "InfH2OonCaps_grid_220623.mat" (perennial water ice cap distribution), "depth_data.mat" (depth vector) and "dimension_vars.mat" (different dimension vectors: Ls, Time, Longitude, Latitude, etc.).</p> <p>2. Figure 3: "Pressure with MONS, modern MSIM ground ice and Viking" was produced using "gcm1116_xpsol125.mat" (pressure with MONS GI, default TI case), "gcm1115_xpsol125.mat" (pressure with MONS GI, high TI case) "gcm1184_xpsol140.mat" (pressure with Eq. GI, default TI case), "gcm1182_xpsol140.mat" (pressure with Eq. GI, high TI case), "VL1_lmd.txt" (VL1 pressure) & "dimension_vars.mat".</p> <p>3. Figures 4-9: "Seasonal caps & GI areas at different obliquities", "Full grid maps of CO2 mass & time at obliquity 25", "Full grid maps of CO2 mass & time at obliquity 45", "CO2 ice and surface temperature at a low TI regions", " Surface pressure at different obliquities" and "Surface temperature at obliquities 25 and 45" were produced using "dimension_vars.mat", "co2_GCM1117-1121.mat" (CO2 from GCM simulations with Eq. GI, e = 0, obliquity = 25, 30, 35, 40, 45 respectively), "icetable_gcm_GCM1117-1121.mat" (Eq. GI ice table), "co2_GCM1050-1054.mat" (CO2 from GCM simulations with MONS GI, e = 0, obliquity = 25, 30, 35, 40, 45 respectively) and "depth_static_H2OonMinDist_230723.mat".</p> <p>4. Figures 10-12: "Contours of northern seasonal cap as function of orbital parameters", "Contours of southern seasonal cap as function of orbital parameters" and "Interpolation of surface pressure for past 20 MA" were produced using "CO2_Orbit_e0-012_eq/st.mat" (CO2 mass and pressure for e = 0, 0.04, 0.08, 0.12; Eq./MONS GI cases, respectively).</p> <p>5. Figure SM 1: "CO2 mass as a function of MSIM-GCM iteration" was produced using "run1050-1054.nc", "run1117-1021.nc", "run1185-1189.nc" (MONS/Eq. 1/Eq. 2 full GCM results for e = 0, obliquity = 25, 30, 35, 40, 45, respectively).</p>
Datasets and models for "No general stability conditions for marine ice-sheet grounding lines in the presence of feedbacks"
<p>This repository contains datasets shown in figures (figs.tar.gz) of the manuscript "No general stability conditions for marine ice-sheet grounding lines in the presence of feedbacks" (doi: 10.1038/s41467-022-29892-3) and COMSOL<sup>TM</sup> models (model.tar.gz) used in the study. A folder “figures” contains data displayed on the corresponding figures. The data sets in folders “Fig1a’” and “Fig1b” are from Kittel et al. (2021) for Antarctica and Fettweis et al. (2017) for Greenland. All other data are outputs of numerical simulations with COMSOL models contained in a folder “model”. The models have been created with COMSOL Multiphysics version 5.6.0.401 and Optimization Module.</p> <p> </p> <p>Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere, 15, 1215–1236, https://doi.org/10.5194/tc-15-1215-2021, 2021.<br> Model output was downloaded from https://zenodo.org/record/4459259</p> <p>Fettweis, X., Box, J. E., Agosta, C., Amory, C., Kittel, C., Lang, C., van As, D., Machguth, H., and Gallée, H.: Reconstructions of the 1900–2015 Greenland ice sheet surface mass balance using the regional climate MAR model, The Cryosphere, 11, 1015–1033, https://doi.org/10.5194/tc-11-1015-2017, 2017.<br> Model output was downloaded from ftp://ftp.climato.be/fettweis/MARv3.5/Greenland/</p>
Grounding line remote operated vehicle (GROV) exploration of the ice shelf cavity of Petermann Glacier, Greenland
<p>The melting of ice by ocean waters along the periphery of ice sheets is a major physical process driving their evolution in a warming climate. Using the fiber-optic-tethered Grounding line Remote Operated Vehicle (GROV), we explored the ice shelf cavity of Petermann Glacier, in Northwestern Greenland, in May 2023, using a novel interferometric multibeam sonar operating at 117 KHz with 360° viewing capability. The seafloor depth is uniform at 820 m and 200 m deeper than anticipated. At the ice shelf base, we find a succession of terraces interrupted by 20-40 m ice cliffs that have no signature at the surface, but are consistent with double-diffusive convection. The central melt channel deviates by ± 80 m from flotation, is smoother than indicated by the surface, and reveals asymmetric melt. The results demonstrate the fundamental importance of surveying the geometry of ice shelf cavities to document ice-ocean interaction.</p>
Permafrost and Ground Ice Map of Switzerland
<p>Save the layer file (.lyr) together with the other files (Shapefiles) in a common folder and load the layer file in a GIS or geoviewer application to see the map.</p> <p>If your GIS-Application does not support .lyr files you can define the visualization of the map by yourself using the field “indicator” in the shapefiles attribute table. This field contain the numbers -3; -2; -1; 0; 1; 5 and 9 which have the following meaning:</p> <p>-3 = permafrost < -3°C</p> <p>-2 = permafrost -2 to -3°C</p> <p>-1 = permafrost < -1 to -2°C</p> <p>0 = permafrost < 0 to -1°C</p> <p>1 = Ground temperatures 0 to +1°C (possible patchy permafrost)</p> <p>5 = potential ice-rich permafrost</p> <p>9= glacier</p> <p> </p> <p>The PGIM and legends can also be accessed online at www.slf.ch\pgim</p> <p>The shapefile contain a countrywide permafrost distribution map of Switzerland, indicating ground temperatures and ice content. A new representation of ground temperatures is achieved by distinguishing ice-poor and ice-rich permafrost in the modelling process. There is a very strong correlation of ground temperatures with elevation and potential incoming solar radiation in ice-poor and ice-free ground. The distribution of ice-rich permafrost was defined by modelling mass wasting processes and the integration of snow and ice into the ground caused by them. This approach yields a relatively accurate and largely unambiguous map. Permafrost occurrence is represented by two clearly defined classes: Zone 1 representing modelled ground temperatures and zone 2 indicating excess ground ice outside of zone 1. 58% of 92 validation sites could be definitively classified as having permafrost or no permafrost. If only ice-poor or –free ground is considered, this value reaches 90%.</p>
Widespread seawater intrusions beneath the grounded ice of Thwaites Glacier, West Antarctica
Open the record for dataset details and reuse information.
Grounding line remote operated vehicle (GROV) exploration of the ice shelf cavity of Petermann Glacier, Greenland
Open the record for dataset details and reuse information.
Permafrost soil database with information on site, topography, geomorphology, hydrology, soil stratigraphy, soil carbon, ground ice isotopes, and vegetation at thermokarst features near Toolik and Noatak River, 2009-2013
This database contains soil and permafrost stratigraphy associated with thermokarst features near Toolik Lake and the Noatak River collected by Torre Jorgenson and Andrew Balser during summers 2009-2011. The Access Database has main data tables (tbl_) for site (environmental), soil stratigraphy, soil physical data, soil chemical data, soil isotopes (ground ice), soil radiocarbon dates, topography and bathymetry, and vegetation cover. The site data includes information of location, observers, geomorphology, topography, hydrology, soil summary characteristics, pH and EC, soil classification, and vegetation cover by species. Soil stratigrapy has information on soil texture and ground ice. Soil physical and chemical data includes lab data on bulk density, moisture, carbon, and nitrogen. The database has 37 reference tables (REF_) that have codes and descriptions for variables used in site, soil stratigraphy, and vegetation cover tables.
Raw Date of Manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography version 2 modeling》
<p>Raw date and materials of the manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography Version 2 modelling》</p>
Data from: Ground ice melt in the high Arctic leads to greater ecological heterogeneity
1. The polar desert biome of the Canadian high Arctic Archipelago is currently experiencing some of the greatest mean annual air temperature increases on the planet, threatening the stability of ecosystems residing above temperature-sensitive permafrost. 2. Ice wedges are the most widespread form of ground ice, occurring in up to 25% of the world's terrestrial near-surface, and their melting (thermokarst) may catalyze a suite of biotic and ecological changes, facilitating major ecosystem shifts. 3. These unknown ecosystem shifts raise serious questions as to how permafrost stability, vegetation diversity, and edaphic conditions will change with a warming high Arctic. Ecosystem and thermokarst processes tend to be examined independently, limiting our understanding of a coupled system whereby the effect of climate change on one will affect the outcome of the other. 4. Using in-depth, comprehensive field observations and a space-for-time approach, we investigate the highly structured landscape that has emerged due to the thermokarst-induced partitioning of microhabitats. We examine differences in vegetation diversity, community composition, and soil conditions on the Fosheim Peninsula, Ellesmere Island, Nunavut. We hypothesize that: (i) greater ice wedge subsidence results in increased vegetation cover due to elevated soil moisture, thereby decreasing the seasonal depth of thaw and restricting groundwater outflow; (ii) thermokarst processes result in altered vegetation richness, turnover, and dispersion, with greater microhabitat diversity at the landscape scale; (iii) shifts in hydrology and plant community structure alter soil chemistry. 5. We found that the disturbance caused by melting ice wedges catalyzes a suite of environmental and biotic effects: topographical changes, a new hydrological balance, significant species richness and turnover changes, and distinct soil chemistries. Thermokarst areas favour a subset of species unique from the polar desert and are characterized by greater species turnover (β-diversity) across the landscape. 6. Synthesis. Our findings suggest that projected increases of thermokarst in the polar desert will lead to the increased partitioning of microhabitats, creating a more heterogeneous high arctic landscape through diverging vegetation communities and edaphic conditions, resulting in a wetland-like biome in the high Arctic that could replace much of the ice-rich polar desert.
Importance of ice elasticity in simulating tide-induced grounding line variations along prograde bed slopes
<p>Maslennikova_data.zip contains the Differential Interferometric Synthetic Aperture Radar (DInSAR) interferograms and the manually mapped grounding lines utilized for short-term tide-induced grounding line migrations analysis.</p>
Ground ice contents and InSAR displacements from Adventdalen, Svalbard.
<p>The file contains ground ice content measurements of the active layer and uppermost permafrost from 12 coring sites in Adventdalen, Svalbard. The frozen sediment cores were collected in April 2023. Further, the file includes InSAR displacement timeseries for the thawing seasons 2021 and 2023 and the ALT of 2023 at the coring sites.</p>
Thwaites Glacier thins and retreats fastest where ice-shelf channels intersect its grounding zone, dataset+code
<p>Thwaites Glacier thins and retreats fastest where ice-shelf channels intersect its grounding zone, updated dataset+code submitted for publication in The Cryosphere. Dataset includes all data produced in this study, including velocity maps derived from speckle tracking of Sentinel 1 images, maps of rates of ice shelf change and the annual mosaic digital surface models from which they were derived, maps of the basal conditions at Thwaites glacier, shapefiles and masks of the annual hydrostatic boundary (grounding line proxy position), and shapefiles of all hydrostatic boundary features, ice shelf basal channels and surface depressions, intermediate polygons used to filter the features, and digital surface model strips with registration data included as attributes. </p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.