Find research datasets worth reusing

opencc-by-4.0Aug 2022View details →

Supplementary data for: "The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia"

This repository contains supplementary information and data for the paper: ""The influence of reef isostasy, dynamic topography, and glacial isostatic adjustment on the Last Interglacial sea-level record of Northeastern Australia", submitted to Communications Earth & Environment. This version (1.1) was produced to answer comments from reviewers.

opencc-by-4.0Jan 2020View details →

Cordilleran ice sheet glacial cycle simulations continuous variables

These data contain a subset of time-dependent glacier model output variables: Reference: <ul> <li>J. Seguinot, I. Rogozhina, A. P. Stroeven, M. Margold, and J. Kleman. Numerical simulations of the Cordilleran ice sheet through the last glacial cycle, The Cryosphere, 10(2):639–664, <a href="https://doi.org/10.5194/tc-10-639-2016">10.5194/tc-10-639-2016</a>, 2016.</li> </ul> File names: <pre><code>ciscyc4.{10km|5km}.{forcing}.{ex.100a|ex.1ka|ts.10a}.nc</code></pre> <ul> <li>Horizontal resolution: <ul> <li>10km: 10 km horizontal resolution</li> <li>5km: 5 km horizontal resolution</li> </ul> </li> <li>Temperature forcing: <ul> <li>epica: EPICA ice core temperature forcing</li> <li>grip: GRIP ice core temperature forcing</li> <li>ngrip: NGRIP ice core temperature forcing</li> <li>odp1012: ODP 1012 ocean core temperature forcing</li> <li>odp1020: ODP 1020 ocean core temperature forcing</li> <li>vostok: Vostok ice core temperature forcing</li> </ul> </li> <li>Variable types: <ul> <li>ex.100a: spatial diagnostics every hundred years</li> <li>ex.1ka: spatial diagnostics every thousand years</li> <li>ts.10a: scalar time-series every ten years</li> </ul> </li> </ul>   Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (*.ex.*.nc) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL: <pre><code>gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif</code></pre> The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with: <pre><code>gdalinfo NETCDF:filename.nc:variable</code></pre> Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Changelog: <ul> <li>Version 2: <ul> <li>Add spatial diagnostics every hundred years (*.ex.100a.nc)</li> </ul> </li> <li>Version 1: <ul> <li>Initial version.</li> </ul> </li> </ul>

opencc-by-4.0Sep 2018View details →

Alpine ice sheet glacial cycle simulations continuous variables

These data contain a subset of time-dependent glacier model output variables. Reference: <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, The Cryosphere, 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> File names: <pre><code>alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.{ex.100a|ex.1ka|ts.10a}.nc</code></pre> <ul> <li>Horizontal resolution: <ul> <li>1km: 1 km horizontal resolution</li> <li>2km: 2 km horizontal resolution</li> </ul> </li> <li>Temperature forcing: <ul> <li>epic: EPICA ice core temperature forcing</li> <li>grip: GRIP ice core temperature forcing</li> <li>md01: MD01-2444 core temperature forcing</li> </ul> </li> <li>Precipitation forcing: <ul> <li>cp: constant precipitation</li> <li>pp: palaeo-precipitation reduction</li> </ul> </li> <li>Variable types: <ul> <li>ex.100a: spatial diagnostics every hundred years</li> <li>ex.1ka: spatial diagnostics every thousand years</li> <li>ts.10a: scalar time-series every ten years</li> </ul> </li> </ul> Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (*.ex.*.nc) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL: <pre><code>gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif</code></pre> The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with: <pre><code>gdalinfo NETCDF:filename.nc:variable</code></pre> 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.1423159">aggregated</a> variables. Changelog: <ul> <li>Version 3: <ul> <li>Add spatial diagnostics every hundred years (*.ex.100a.nc)</li> </ul> </li> <li>Version 2: <ul> <li>Add age coordinate in kiloyears (ka) before present.</li> <li>Replace NCO by Xarray workflow (no effect on the results).</li> </ul> </li> <li>Version 1: <ul> <li>Initial version.</li> </ul> </li> </ul>

opencc-by-4.0May 2023View details →

Supporting data for manuscript "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within "

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 "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within" accepted for publication in "The Cryosphere" (https://doi.org/10.5194/tc-2022-250). Measurements were performed at the Ca’Foscari University of Venice, considered as analytes are 23Na, 24Mg, 27Al, 48Ti, 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. For each of the maps, for every chemical channel the intensities (in counts, after background and drift correction) are provided as a separate file. These maps were obtained using a 20 µm square spot. Samples are referred to using the original identifier of the manuscript, e.g. S2 for sample 2 from 1367.05 m depth.

edi44/100

Dissolved organic carbon (DOC) concentrations in glacial meltwater streams, McMurdo Dry Valleys, Antarctica (1990-2023, 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 dissolved organic carbon levels. This dataset shows concentrations of dissolved organic carbon found in various streams of the McMurdo Dry Valleys.

openCC (other)Feb 2025View details →

edi44/100

Soil geochemistry and microbial community data from glaciated and potential glacial refugia sites in the McMurdo Dry Valleys, Antarctica (1993-2019)

A study was conducted to examine soil microbial communities and associated geochemical parameters at potential glacial refugia and glaciated control sites throughout the McMurdo Dry Valleys region of Antarctica. Soil samples were collected as part of ongoing long-term monitoring efforts by the McMurdo Dry Valleys Long Term Ecological Research program (MCM LTER). The oldest samples used in this study were collected during the 1993-1994 austral summer, and the newest from the 2018-2019 austral summer. "Refugia" sites were selected based on geographical positions and elevations indicative of potential glacial refugia status. Each refugia site was paired with a lower elevation "glaciated" site in the same dry valley that was not likely to have functioned as a refugium. Six replicate soils per sampling site were sequenced with 16S primers following Earth Microbiome Project protocols, filtered using the DADA2 pipeline, and clustered to amplicon sequence variant using the SILVA reference database to generate the microbial classification table included herein. Soil samples were also analyzed for various geochemical parameters as part of this study, which include P, K, NO3-, gravimetric water content, percent organic matter, pH, and electroconductivity.

openCC (other)Nov 2021View details →

dryad40/100

Data from: Differential patterns of floristic phylogenetic diversity across a post-glacial landscape

Abstract: Aim: In this study, we explored spatial patterns of phylogenetic diversity and endemism in the flora of Norway and tested hypothesized post-glacial environmental drivers of phylogenetic diversity, including temperature, precipitation, edaphic factors, and time since glacial retreat. Location: Norway. Taxon: Vascular plants (Trachaeophyta). Methods: We produced a multi-locus Maximum Likelihood (ML) phylogeny using a combination of newly produced DNA sequences from herbarium specimens and sequences available from public repositories. We combined the phylogeny with species occurrence data to estimate phylogenetic diversity and phylogenetic endemism across Norway, using a spatial randomization to judge statistical significance. We used multiple-model inference to identify environmental variables that contributed the most to the patterns of phylogenetic diversity. Finally, we estimated phylogenetic turnover and used this to identify Norwegian plant assemblages in terms of composition and evolutionary history. Results: Our ML phylogeny contained 87% of all currently described native Norwegian vascular plants. Assemblages were phylogenetically overdispersed in warmer and wetter regions of Norway, as well as in regions with a longer post-glacial history. In cold and dry regions, plant assemblages were phylogenetically clustered, and characterised by neo-endemism, while the mild and wet regions were characterised by both paleo- and neo-endemism. Phylogenetic diversity was positively correlated with summer temperature and habitat heterogeneity, and peaked in the southeast of Norway. Main conclusions: Both contemporary ecological factors (climate and habitat heterogeneity), and post-glacial history seem to have shaped the phylogenetic structure of the flora of Norway. The flora in the far north of Norway appear to be a result of recent diversification while the coastal regions are assemblages of deeper lineages. Our results suggest that there is an evolutionary signal in the distribution of the Norwegian vascular flora.

opencc-zeroMar 2020View details →

opencc-by-4.0Nov 2024View details →

Data for: Glacial and Periglacial Geomorphology of the Drang Drung, Haskira, and Pensilungpa glaciers, Trans-Himalayan Ladakh, India

The geopackage contains the glacial and periglacial geomorphological landforms/features of Drang Drung, Haskira and Pensilungpa glacier valleys mapped from a combination of Planetscope images and Pléiades data (images and digital surface model)

Supplement A. Wolf et al: 'Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum'

This repository contains all proxy data presented in A. Wolf et al, "Western Caucasus regional hydroclimate controlled by cold-season temperature variability since the Last Glacial Maximum". The data can be used to replicate figures and analyses presented in the main text. Additionally, data can be accessed in the supplement material and in the data availability statement.

FIGURE 19 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 19. Sinistral hemispermatophores of three species of Euscorpius Thorell, 1876, occurring in vicinity of Mount Olympus, Greece, ectal aspect (A–C) and detail of capsular region (D–F). A, D. Euscorpius olympus, sp. nov., paratype Ƌ (AMNH). B, E. Euscorpius kinzelbachi Tropea et al., 2014, Ƌ (AMNH). C, F. Euscorpius aff. sicanus, Ƌ (AMNH). Annotations: fl, flagellar lamina; f, foot; cr, capsule region; tf, truncal flexure; tr, trunk; cls, crown-like structure; ll, lateral lobe; lde, distal external lobe; ldi, distal internal lobe; bl, basal lobe. Scale bars = 1 mm (A–C); scale bars = 0.5 mm (D–F).

FIGURE 18 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 18. Euscorpius olympus, sp. nov., paratype Ƌ (AMNH), sinistral hemispermatophore. A. Ental aspect. B. Dorsal aspect. C. Ectal aspect. D. Ventral aspect. Scale bars: 1 mm.

FIGURE 9 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 9. Euscorpius olympus, sp. nov., paratype ♀ (AMNH), dextral pedipalp chela, dorsal (A), retrolateral (B), ventral (C) and prolateral (D) aspects. Scale bar = 2 mm.

FIGURE 12 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 12. Euscorpius olympus, sp. nov., paratype ♀ (AMNH), metasomal segments I–IV, dorsal (A, D), lateral (B, E) and ventral (C, F) aspects. Scale bar = 2 mm.

FIGURE 13 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 13. Euscorpius olympus, sp. nov., metasomal segment V, dorsal (A, D), lateral (B, E) and ventral (C, F) aspects. A–C. Holotype Ƌ (AMNH). D–F. Paratype ♀ (AMNH). Scale bar = 2 mm.

FIGURE 7 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 7. Euscorpius olympus, sp. nov., dextral pedipalp femur, dorsal aspect (A, B), and patella, dorsal (C, D), retrolateral (E, F) and ventral (G, H) aspects. A, C, E, G. Holotype Ƌ (AMNH). B, D, F, H. Paratype ♀ (AMNH). Scale bars = 2 mm.

FIGURE 6 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 6. Euscorpius olympus, sp. nov., carapace, dorsal aspect (A, B) and sternum and pectines, ventral aspect (C, D). A, C. Holotype Ƌ (AMNH). B, D. Paratype ♀ (AMNH). Scale bars = 2 mm.

FIGURE 3 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 3. Euscorpius olympus, sp. nov., live habitus, dorsal aspect. A. Holotype Ƌ (AMNH). B. Paratype ♀ (AMNH).

FIGURE 8 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 8. Euscorpius olympus, sp. nov., holotype Ƌ (AMNH), dextral pedipalp chela, dorsal (A), retrolateral (B), ventral (C) and prolateral (D) aspects. Scale bar = 2 mm.

FIGURE 4 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 4. Euscorpius olympus, sp. nov., habitat at type locality. A. Peaks and mixed forests on slopes of Mount Olympus, Greece. B. Microhabitat, crevices in limestone rocks in predominantly deciduous forest in northern foothills of Mount Olympus.

FIGURE 2 in Glacial Relicts? A New Scorpion from Mount Olympus, Greece (Euscorpiidae: Euscorpius)

FIGURE 2. Three-dimensional representation of Mount Olympus and vicinity, including Mount Ossa and coastline of Aegean Sea. Colored symbols represent locality records of Euscorpius olympus, sp. nov. (red triangle), Euscorpius kinzelbachi Tropea et al., 2014 (yellow square), and Euscorpius aff. sicanus (blue circle).