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774 results for “glacier”
Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia
<p><span>Data for "Recent ice-contact delta formation in front of Pio XI glacier controls sedimentary processes in Eyre Fjord, Patagonia"</span></p>
Supplementary data for the publication: 'Impact of ice topography, basal channels and subglacial discharge on basal melting under the floating ice tongue of 79N Glacier, northeast Greenland'
Open the record for dataset details and reuse information.
Rapid Glacier Retreat in Arctic Canada: Terminus Migration Patterns on Bylot Island
<p>These shapefiles represent the glacier terminus positions on Bylot Island, Arctic Canada, tracked from 1985 to 2020, as part of our study submitted to the Journal of Glaciology on the spatial-temporal changes in glacier terminus dynamics over this period. </p>
Graph neural network emulator for modeling of ice dynamics and calving in the Pine Island Glacier, Antarctica
<p>These files include the following codes and datasets for developing graph neural network (GNN) emulators for the Ice-sheet and Sea-level System Model (ISSM) for modeling ice sheet dynamics and calving in the Pine Island Glacier, Antarctica</p> <ul> <li>ISSM_DGL_PIG2.py: Python file for training GNN models (*single.py: code for single GPU environment)</li> <li>ISSM_CNN_PIG.py: Python file for training convolutional neural network (CNN) models</li> <li>*.mat: Datasets of the ISSM transient simulation results (graphs for GNNs)</li> <li>*.pkl: Datasets of the ISSM transient simulation results (grids for CNNs)</li> </ul>
Trans-CAUNet: A Swin Transformer-Based Network for Automated Extracting Mountain Glaciers with Multisource Remote Sensing Imagery
<p>Trans-CAUNet: A Swin Transformer-Based <a>Network</a> for Automated Extracting Mountain Glaciers with Multisource Remote Sensing Imagery</p> <p>Original remote sensing images</p> <div> </div>
MAGs from Glacier-Fed Streams
<p>The biofilm mode of life contributes to the success of microorganisms in extreme environments. Glacier-fed streams feature among Earth’s most extreme aquatic ecosystems because of marked oligotrophy and environmental fluctuations. Here, leveraging 156 metagenomes from the Vanishing Glaciers project, we report thousands of assembled genomes (MAGs) encompassing prokaryotes, algae, fungi, and viruses, and which are involved in biotic interactions within glacier-fed stream biofilms. Bacterial community composition varied regionally and was partially driven by environmental conditions. Bacterial MAGs were characterized by various strategies to exploit inorganic and organic energy sources, functional redundancy and mixotrophy, altogether possible adaptive responses to the glacier-fed stream environment. Our findings suggest that biofilms become more complex and switch from chemoautotrophy to heterotrophy as algal biomass increases in glacier-fed streams owing to glacier shrinkage. Our MAG compendium sheds light on the success of microbial life in glacier-fed streams and provides a resource for future research on a microbiome potentially imperiled by climate change.</p>
Data for "Creep enhancement and sliding in a temperate, hard-bedded alpine glacier"
<p>This folder contains the data and ice flow simulation output used in:</p> <p>Creep enhancement and sliding in a temperate, hard-bedded alpine glacier which is submited to "The Cryosphere".</p> <p>The python script "Generate_dudz_and_ud.py" processes raw tiltometer data to generate .csv files containing deformation velocity and deformation rate time series. The timescale over which the data are averaged is specified by the DX parameter, and the time window of interest can be selected. The script also calculates the average profile as a function of depth.</p> <p>Python scripts to create the manuscript figures are also provided (if Python was used).</p>
Northern Hemisphere marine-terminating glaciers coastline gained/lost between 2000 and 2020
<p>final version of the dataset with some additional information available from: https://zenodo.org/records/14538245 </p>
Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach
<p>This repository comprises data and statisticial analysis from the paper Schenone et al. 2020 entitled "Modelling the Consequence of Glacier Retreat on Mixotrophic Nanoflagellate Bacterivory: A Bayesian Approach" which was accepted for publication in Oikos. The main contribution of this paper is a model for mixotrophic nanoflagellate bacterivory as a function of light availability and the presence of non edible particles such as glacial clay. The dataset consists in results from eight bacterivory experiments carried out during November 2018 and January-February 2019 using natural mixotrophic nanoflagellate community of six moutain lakes from north Patagonia, Argentina. A Bayesian approach was adopted to estimate relevant parameters from the model using our experimental data. The analysis was performed using JAGS interfaced through R Studio, the script is available in this repository.</p>
MITgcm model setup and output for "Antarctic Slope Current modulates ocean heat intrusions towards Totten Glacier"
<p>MITgcm model setup and output for "Antarctic Slope Current modulates ocean heat intrusions towards Totten Glacier</p> <p>Here, it contains the results of the East Antarctic simulation from 1992-2016. Model grid is lat-lon similar to LLC1080 grid resolution roughly 3-4 km in the region. See Nakayama et al., submitted to GRL for detail. </p> <p><strong>(Contents)</strong><br> code.zip (code to run this simulation)<br> input.zip (input file required for this simulation)<br> results_zenodo.zip (due to size limit of 50GB, please check <a href="https://ecco.jpl.nasa.gov/drive/files/ECCO2/LatLon_East_Antartic">https://ecco.jpl.nasa.gov/drive/files/ECCO2/LatLon_East_Antarctic</a> for complete model output. Complete datasets can also be obtained by rerunning the simulation.)</p> <p><strong>(How to build and run)</strong><br> mkdir build<br> ./../../tools/genmake2 -of ../../../tools/build_options/linux_amd64_ifort+mpi_ice_nas -mpi -mods ../code/<br> make depend<br> make -j 16<br> cd ..<br> mkdir test<br> cd test<br> ln -sf ../input/* .<br> ln -sf /nobackup/hzhang1/forcing/era_xx/ .<br> cp ../build/mitgcm_uv .<br> qsub run_omp_high_t1.pbs</p>
Figure 10 in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 10. Map of China showing the topography and localities where Scoparia spp. are recorded, the coloured dots indicate the recorded localities and species numbers.
Figure 6. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 6. A–C, male genitalia of of Scoparia spp. A, Scoparia globosa Li sp. nov., holotype, prep. gen. no. LW12007; B–C, Scoparia annulata Li sp. nov.; B, holotype, prep. gen. no. LW12014; C, paratype, prep. gen. no. LW12026.
Figure 5. A–B in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 5. A–B, male genitalia of of Scoparia metaleucalis Hampson, 1907. A, prep. gen. no. LW12074; B, prep. gen. no. LW12088.
Figure 2. Minimum-evolution tree deduced from cytochrome c oxidase subunit I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 2. Minimum-evolution tree deduced from cytochrome c oxidase subunit I (COI) gene sequences. Sequences were corrected with the Kimura two-parameter substitution model. Codon positions included were 1st + 2nd + 3rd + noncoding. Values represented at the nodes of branches are bootstrap values (1000 replicates).
Figure 9. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 9. A–C, female genitalia of Scoparia spp. A, Scoparia brevituba Li, Li & Nuss, 2010, prep. gen. no. LW12032; B, Scoparia globosa Li sp. nov., paratype, prep. gen. no. LW12025; C, Scoparia annulata Li sp. nov., paratype, prep. gen. no. LW12022.
Figure 4. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 4. A–C, male genitalia of Scoparia spp. A, Scoparia simplicissima Li sp. nov., holotype, prep. gen. no. LW12094; B, Scoparia tribulosa Li sp. nov., holotype, prep. gen. no. LW12027; C, Scoparia longispina Li sp. nov., holotype, prep. gen. no. LW12044.
Figure 8. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 8. A–C, female genitalia of Scoparia spp. A–B, Scoparia metaleucalis Hampson, 1907; A, prep. gen. no. LW13044; B, prep. gen. no. LW12049; C, Scoparia jiuzhaiensis Li, Li & Nuss, 2010, prep. gen. no. LW12036.
Figure 1. Neighbour-joining tree deduced from the cytochrome c oxidase subunit I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 1. Neighbour-joining tree deduced from the cytochrome c oxidase subunit I (COI) gene sequences using MEGA 5. Sequences were corrected with the Kimura two-parameter substitution model. Codon positions included were 1st + 2nd + 3rd + noncoding. Values represented at the nodes of branches are bootstrap values (1000 replicates).
Figure 7. A–C in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 7. A–C, female genitalia of Scoparia spp. A–B, Scoparia tribulosa Li sp. nov., paratypes; A, prep. gen. no. LW12016; B, prep. gen. no. LW13020; C, Scoparia gibbosa Li sp. nov., holotype, prep. gen. no. LW12009.
Figure 3. A–I in DNA barcoding and morphology reveal exceptional species diversity of Scoparia (Lepidoptera: Crambidae) from the Hailuogou Glacier area, China
Figure 3. A–I, adults of Scoparia spp. A, Scoparia simplicissima Li sp. nov., male, paratype; B, Scoparia tribulosa Li sp. nov., female, paratype; C, Scoparia longispina Li sp. nov., male, paratype; D, Scoparia gibbosa Li sp. nov., female, paratype; E, Scoparia metaleucalis Hampson, 1907, female; F, Scoparia jiuzhaiensis Li, Li & Nuss, 2010, female; G, Scoparia brevituba Li, Li & Nuss, 2010, female; H, Scoparia globosa Li sp. nov., female, paratype; I, Scoparia annulata Li sp. nov., male, paratype. Scale bars: 5 mm.
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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.