Find research datasets worth reusing

opencc-by-4.0Dec 2017View details →

Fig. 2 in Morphological keys to advance the understanding of protostrongylid biodiversity in caribou (Rangifer spp.) at high latitudes

Fig. 2. Identification guide for differential diagnosis of dorsal spine larvae of Parelaphostrongylus andersoni and Varestrongylus eleguneniensis.

opencc-by-4.0Dec 2017View details →

Fig. 1 in Morphological keys to advance the understanding of protostrongylid biodiversity in caribou (Rangifer spp.) at high latitudes

Fig. 1. Dorsal spine larva of Parelaphostrongylus andersoni at 400× magnification in differential interference contrast, depicting important anatomical features.

opencc-by-4.0Jan 2019View details →

Ocean model fields shown in paper titled "E3SMv0-HiLAT: A Modifed Climate System Model Targeted for the Study of High Latitudes"

These files contain ocean model climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format, with fields described within the file (and subsequently compressed).

opencc-by-4.0Jan 2019View details →

Sea ice model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes

These files contain the full climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format, with fields described within the file (and subsequently compressed).

opencc-by-4.0Feb 2019View details →

More atmospheric model fields shown in paper titled "E3SMv0-HiLAT: A Modified Climate System Model Targeted for the Study of High Latitude Processes

These files contain atmospheric climatology, averaged over years 234-253 of the E3SMv0-HiLAT model preindustrial simulation, as generated by the CESM diagnostic package. Files are in netcdf format (subsequently compressed), with fields described within those files.

opencc-by-4.0Aug 2024View details →

Weather Station-Scale Photosynthetic Phenology Dataset in the Middle and High Latitudes of the Northern Hemisphere

This dataset includes the start, peak, and end times of the growing season (SOS, POS and EOS), extracted from GPP time series data estimated at weather stations. It covers a total of 57,829 site-years. The dataset provides valuable information for large-scale phenology analysis, ecosystem model validation, and other studies in the carbon cycle and ecology fields.

opencc-by-4.0Sep 2024View details →

MITgcm simulations of sea level response to freshwater injected at the surface and at depth in southern high latitudes: Model output and analysis code

Model output (netcdf) and python code (included in both py and ipynb formats) to create the figures in Eisenman et al. (2024). <div> See https://eisenman-group.github.io for further details. </div>

opencc-by-4.0Jul 2021View details →

Model fields supporting the publication "Integrated Assessment of the Risks to Ocean Acidification in the Northern High Latitudes: Regional Comparison of Exposure, Sensitivity and Adaptive Capacity of Pelagic Calcifiers"

These are the model outputs supporting the described manuscript. They include monthly averaged output of aragonite saturation state for each year during the 10-year hindcast. Also included is the particle tracking output, for both the Bering Sea and the Gulf of Alaska, as described in the manuscript.

opencc-by-4.0Nov 2022View details →

Super resolution enhancement of Landsat imagery and detections of high-latitude lakes

This archive contains native resolution and super resolution (SR) Landsat imagery, derivative lake shorelines, and previously-published lake shorelines derived airborne remote sensing, used here for comparison. Landsat images are from 1985 (Landsat 5) and 2017 (Landsat 8) and are cropped to study areas used in the corresponding paper and converted to 8-bit format. SR images were created using the model of Lezine et al (2021a, 2021b), which outputs imagery at 10x-finer resolution, and they have the same extent and bit depth as the native resolution scenes included. Reference shoreline datasets are from Kyzivat et al. (2019a and 2019b) for the year 2017 and Walter Anthony et al. (2021a, 2021b) for Fairbanks, AK, USA in 1985. All derived and comparison shoreline datasets are cropped to the same extent, filtered to a common minimum lake size (40 m2 for 2017; 13 m2 for 1985), and smoothed via 10 m morphological closing. The SR-derived lakes were determined to have F-1 scores of 0.75 (2017 data) and 0.60 (1985 data) as compared to reference lakes for lakes larger than 500 m2, and accuracy is worse for smaller lakes. More details are in the forthcoming accompanying publication. All raster images are in cloud-optimized geotiff (COG) format (.tif) with file naming shown in Table 1. Vector shoreline datasets are in ESRI shapefile format (.shp, .dbf, etc.), and file names use the abbreviations LR for low resolution, SR for high resolution, and GT for “ground truth” comparison airborne-derived datasets. Landsat-5 and Landsat-8 images courtesy of the U.S. Geological Survey For an interactive map demo of these datasets via Google Earth Engine Apps, visit:  <a href="https://ekyzivat.users.earthengine.app/view/super-resolution-demo">https://ekyzivat.users.earthengine.app/view/super-resolution-demo</a> Table 1: File naming scheme based on region, with some regions requiring two-scene mosaics. <table> <tbody> <tr> <td> Region </td> <td> Landsat ID </td> <td> Mosaic name </td> </tr> <tr> <td> Yukon Flats Basin </td> <td> LC08_L2SP_068014_20170708_20200903_02_T1 </td> <td> LC08_20170708_yflats_cog.tif </td> </tr> <tr> <td> “ </td> <td> LC08_L2SP_068013_20170708_20201015_02_T1 </td> <td> “ </td> </tr> <tr> <td> Old Crow Flats </td> <td> LC08_L2SP_067012_20170903_20200903_02_T1 </td> <td> - </td> </tr> <tr> <td> Mackenzie River Delta </td> <td> LC08_L2SP_064011_20170728_20200903_02_T1 </td> <td> LC08_20170728_inuvik_cog.tif </td> </tr> <tr> <td> “ </td> <td> LC08_L2SP_064012_20170728_20200903_02_T1 </td> <td> “ </td> </tr> <tr> <td> Canadian Shield Margin </td> <td> LC08_L2SP_050015_20170811_20200903_02_T1 </td> <td> LC08_20170811_cshield-margin_cog.tif </td> </tr> <tr> <td> “ </td> <td> LC08_L2SP_048016_20170829_20200903_02_T1 </td> <td> “ </td> </tr> <tr> <td> Canadian Shield near Baker Creek </td> <td> LC08_L2SP_046016_20170831_20200903_02_T1 </td> <td> - </td> </tr> <tr> <td> Canadian Shield near Daring Lake </td> <td> LC08_L2SP_045015_20170723_20201015_02_T1 </td> <td> - </td> </tr> <tr> <td> Peace-Athabasca Delta </td> <td> LC08_L2SP_043019_20170810_20200903_02_T1 </td> <td> - </td> </tr> <tr> <td> Prairie Potholes North 1 </td> <td> LC08_L2SP_041021_20170812_20200903_02_T1 </td> <td> LC08_20170812_potholes-north1_cog.tif </td> </tr> <tr> <td> “ </td> <td> LC08_L2SP_041022_20170812_20200903_02_T1 </td> <td> “ </td> </tr> <tr> <td> Prairie Potholes North 2 </td> <td> LC08_L2SP_038023_20170823_20200903_02_T1 </td> <td> - </td> </tr> <tr> <td> Prairie Potholes South </td> <td> LC08_L2SP_031027_20170907_20200903_02_T1 </td> <td> - </td> </tr> <tr> <td> Fairbanks </td> <td> LT05_L2SP_070014_19850831_20200918_02_T1 </td> <td> - </td> </tr> </tbody> </table> References: Kyzivat, E. D., Smith, L. C., Pitcher, L. H., Fayne, J. V., Cooley, S. W., Cooper, M. G., Topp, S. N., Langhorst, T., Harlan, M. E., Horvat, C., Gleason, C. J., & Pavelsky, T. M. (2019b). A high-resolution airborne color-infrared camera water mask for the NASA ABoVE campaign. Remote Sensing, 11(18), 2163. <a href="https://doi.org/10.3390/rs11182163">https://doi.org/10.3390/rs11182163</a> Kyzivat, E.D., L.C. Smith, L.H. Pitcher, J.V. Fayne, S.W. Cooley, M.G. Cooper, S. Topp, T. Langhorst, M.E. Harlan, C.J. Gleason, and T.M. Pavelsky. 2019a. ABoVE: AirSWOT Water Masks from Color-Infrared Imagery over Alaska and Canada, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. <a href="https://doi.org/10.3334/ORNLDAAC/1707">https://doi.org/10.3334/ORNLDAAC/1707</a> Ekaterina M. D. Lezine, Kyzivat, E. D., & Smith, L. C. (2021a). Super-resolution surface water mapping on the Canadian shield using planet CubeSat images and a generative adversarial network. Canadian Journal of Remote Sensing, 47(2), 261–275. <a href="https://doi.org/10.1080/07038992.2021.1924646">https://doi.org/10.1080/07038992.2021.1924646</a> Ekaterina M. D. Lezine, Kyzivat, E. D., & Smith, L. C. (2021b). Super-resolution surface water mapping on the canadian shield using planet CubeSat images and a generative adversarial network. Canadian Journal of Remote Sensing, 47(2), 261–275. <a href="https://doi.org/10.1080/07038992.2021.1924646">https://doi.org/10.1080/07038992.2021.1924646</a> Walter Anthony, K.., Lindgren, P., Hanke, P., Engram, M., Anthony, P., Daanen, R. P., Bondurant, A., Liljedahl, A. K., Lenz, J., Grosse, G., Jones, B. M., Brosius, L., James, S. R., Minsley, B. J., Pastick, N. J., Munk, J., Chanton, J. P., Miller, C. E., & Meyer, F. J. (2021a). Decadal-scale hotspot methane ebullition within lakes following abrupt permafrost thaw. Environ. Res. Lett, 16, 35010. <a href="https://doi.org/10.1088/1748-9326/abc848">https://doi.org/10.1088/1748-9326/abc848</a> Walter Anthony, K., and P. Lindgren. 2021b. ABoVE: Historical Lake Shorelines and Areas near Fairbanks, Alaska, 1949-2009. ORNL DAAC, Oak Ridge, Tennessee, USA. <a href="https://doi.org/10.3334/ORNLDAAC/1859">https://doi.org/10.3334/ORNLDAAC/1859</a>

opencc-zeroJan 2023View details →

Shifting environmental predictors of phenotypes under climate change: A case study of growth in high latitude seabirds

Climate change is altering species' traits across the globe. To predict future trait changes and understand the consequences of those changes, we need to know the environmental drivers of phenotypic change. In the present study, we use multi-decadal long datasets to determine periods of within-year environmental variation that predict growth of three seabird species. We evaluate whether these periods changed over time and use them to predict future growth under climate change. We find that predictions of trait change could be improved by considering that 1) the timing of environmental factors used to predict traits (predictive-environmental features) can change over time, and 2) the type of predictive-environmental features can change over time. We find evidence of changes in the timing of environmental predictors in all populations studied and evidence for a change in the type of predictor in the studied Arctic murre population. Environmental models of growth predict that warming conditions will decrease growth rates and bird body sizes in two species (black-legged kittiwakem Rissa tridactyla, and glaucous-winged gullm Larus glaucescens), but not the third (thick-billed murrem Uria lomvia). Consequently, climate change is likely to decrease fledging rates in the gulls and kittiwakes. Further, we find that ice-cover historically predicted murre chick growth well, but no longer does – instead air temperature is now a better predictor of murre growth. Our study highlights a need to investigate whether environmental determinants of trait variation commonly shift in a changing climate and whether such changes have implications for adaptation to novel environments.

opencc-zeroMar 2023View details →

High functional diversity in deep-sea fish communities and increasing intra-specific trait variation with increasing latitude

Variation in both inter- and intra-specific traits affect community dynamics, yet we know little regarding the relative importance of external environmental filters vs internal biotic interactions that shape the functional space of communities along broad-scale environmental gradients, such as latitude, elevation or depth. We examined changes in several key aspects of functional alpha-diversity for marine fishes along depth and latitude gradients by quantifying intra- and inter-specific richness, dispersion and regularity in functional trait space. We derived eight functional traits related to food acquisition and locomotion, and calculated seven complementary indices of functional diversity for 144 species of marine ray-finned fishes along large-scale depth (50 m – 1200 m) and latitudinal gradients (29° – 51° S) in New Zealand waters. Traits were derived from morphological measurements taken directly from footage obtained using Baited Remote Underwater Stereo-Video systems and museum specimens. We partitioned functional variation into intra- and inter-specific components for the first time using a PERMANOVA approach. We also implemented two tree-based diversity metrics in a functional distance-based context for the first time: namely, the variance in pairwise functional distance, and the variance in nearest-neighbour distance. Functional alpha diversity increased with increasing depth, and decreased with increasing latitude. More specifically, the dispersion and mean nearest-neighbour distances among species in trait space, and intra-specific trait variability all increased with depth, whereas functional hypervolume (richness) was stable across depth. In contrast, functional hypervolume, dispersion and regularity indices all decreased with increasing latitude; however, intra-specific trait variation increased with latitude, suggesting that intra-specific trait variability becomes increasingly important at higher latitudes. These results suggest that competition within and among species are key processes shaping functional multi-dimensional space for fishes in the deep sea. Increasing morphological dissimilarity with increasing depth may facilitate niche partitioning to promote coexistence, whereas abiotic filtering may be the dominant process structuring communities with increasing latitude.

opencc-zeroApr 2023View details →

High latitude ocean habitats are a crucible of fish body shape diversification

A strong decline in species richness from the equator to the poles is a common feature of Earth's biodiversity. However, little is known about how phenotypic diversity varies across the same latitudinal gradient. Here, we examine body shape diversity in marine fishes across latitudes and explore the role of time and evolutionary rate in explaining the diversity gradient. Marine fishes' occupation of upper latitude environments has increased substantially over the last 55 million years. Latitude strongly affects the rate of body shape evolution and its disparity. Fishes in the highest latitudes exhibit nine times the rate of body shape evolution and one and a half times the disparity compared to equatorial latitudes. The more dynamic evolution of body shape may be due to increased ecological opportunity in polar and subpolar oceans due to (1) the evolution of anti-freeze proteins in certain temperate clades that allowed them to invade regions of cold water, and (2) periodic environmental disturbances driven by cyclical warming and cooling in upper latitudes. Our results suggest that decreasing water temperature, through its effects on the activity levels of fishes, may have elevated the relative frequency of body shapes associated with less-active lifestyles.

publicFeb 2024View details →

Data from: The Fezouata Shale Formation biota is typical for the high latitudes of the early Ordovician – a quantitative approach

Open the record for dataset details and reuse information.

publicApr 2024View details →

High latitude ocean habitats are a crucible of fish body shape diversification

Open the record for dataset details and reuse information.

publicJan 2023View details →

Shifting environmental predictors of phenotypes under climate change: A case study of growth in high latitude seabirds

Open the record for dataset details and reuse information.

publicMar 2023View details →

High functional diversity in deep-sea fish communities and increasing intra-specific trait variation with increasing latitude

Open the record for dataset details and reuse information.

Energy feedbacks of northern high-latitude ecosystems to the climate system due to reduced snow cover during 20th century warming-I

This data file contains data for changes in atmospheric heating due to changes in snow melt, snow return, and total snow cover duration as modeled with the Terrestrial Ecosystem Model for the area north of 50 degrees north latitude around the entire globe for the years 1910-1940. See Euskirchen et al. (2007) for full study details.

Energy feedbacks of northern high-latitude ecosystems to the climate system due to reduced snow cover during 20th century warming-II

Energy feedbacks of northern high-latitude ecosystems to the climate system due to reduced snow cover during 20th century warming-III

This data file contains data for the pan-arctic vegetation map depicted in Figure 1 of Euskirchen et al (2007). See Euskirchen et al. (2007) for further details on the construction of this map.

Energy feedbacks of northern high-latitude ecosystems to the climate system due to reduced snow cover during 20th century warming-IV

This data file contains data for changes in snow melt, snow return, and total snow cover duration as modeled with the Terrestrial Ecosystem Model for the area north of 50 degrees north latitude around the entire globe for the years 1910-1940. See Euskirchen et al. (2007) for full study details.