Find research datasets worth reusing

opencc-by-4.0Feb 2020View details →

Water column changes under ice during diferent winters in a mid-latitude Mediterranean high mountain lake - Dataset

Dataset of the research article Water column changes under ice during diferent winters in a mid-latitude Mediterranean high mountain lake. Granados, I., Toro, M., Giralt, S., Camacho, A., Montes, C., 2020. Water column changes under ice during different winters in a mid-latitude Mediterranean high mountain lake. Aquatic Sciences 82, 30. <a href="https://doi.org/10/ggmkhv">https://doi.org/10/ggmkhv</a>

opencc-by-4.0Oct 2021View details →

Dataset from Holding et al. (2019)––Seasonal and spatial patterns of primary production in a high latitude fjord

Unprecedented melting of the Greenland Ice Sheet (GrIS) is impacting the coastal ocean, and its effects on fjord ecology remain understudied. It has been suggested that as glaciers retreat, primary production regimes may be altered, rendering fjords less productive. Here we present data from the paper Holding et al. (2019). Seasonal and spatial patterns of primary production in a high-latitude fjord affected by Greenland Ice Sheet run-off. Biogeosciences, 16(19), 3777-3792, /doi.org/10.5194/bg-16-3777-2019. This paper investigates patterns of primary productivity in a northeast Greenland fjord (Young Sound, 74°N), which receives run-off from the GrIS via land-terminating glaciers. This dataset includes measures of size fractioned primary production and chlorophyll a biomass, as well as CTD data and biochemical parameters. Furthermore, primary production was measured using photosynthesis v. irradiance (PI) curves, thus PI curve parameters are also available. The data were taken during the ice-free season along a spatial gradient of meltwater influence.   We thank Egon Frandsen, Kunuk Lennert, and Ivali Lennert for excellent assistance during fieldwork. This research has beensupported by the Danish Environmental Protection Agency’s programme for Arctic research (DANCEA) (grant no. MST-112-0023), The Carlsberg Foundation (grant no. 2013_01_0532), the Norwegian Research Council (Mi- croPolar) (grant no. RCN 225956), and the European Commission, H2020 Research Infrastructures (GrIS-Melt (grant no. 752325) and INTAROS (grant no. 727890)).

opencc-by-4.0Jul 2022View details →

Model output and analysis scripts for "High-latitude precipitation as a driver of multicentennial variability of the AMOC in a climate model of intermediate complexity"

Here, we provide annually averaged model output from a 3000-year control simulation of PlaSim–LSG, a climate model of intermediate complexity. Processed variables and a Jupyter notebook to reproduce all figures of the manuscript (Mehling et al.: "High-latitude precipitation as a driver of multicentennial variability of the AMOC in a climate model of intermediate complexity") can also be found in this repository. In addition, a Python implementation of the three-box model proposed in the manuscript can be found in the notebook boxmodel.ipynb.

opencc-by-4.0Jan 2019View details →

Database of Nightside, High-latitude Ionosphere Meso-scale Flow Characteristics

This database is a compilation of nightside, high-latitude ionosphere meso-scale flow characteristics built on those used in Gabrielse et al. [2018] (<a href="https://doi.org/10.1029/2018JA025440">https://doi.org/10.1029/2018JA025440</a>). It is the most complete version. If you would like to use the database, please contact Christine Gabrielse (cgabrielse@ucla.edu, cgabrielse@gmail.com, and/or christine.gabrielse@aero.org). Depending on how the results are used, the main authors request co-authorship on publications that utilize this database.  The methodology and selection criteria can be found in Gabrielse et al. [2018] (<a href="https://doi.org/10.1029/2018JA025440">https://doi.org/10.1029/2018JA025440</a>).  The following list describes the columns in each data file labeled, ***_FLOW-DATA-PCvsAO_YYYY.txt  The first three letters (RNK or SAS) designate the station used (Rankin Inlet or Saskatoon). Files named  ***_FLOW-DATA-PCvsAO_poleward_YYYY.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  AO=Auroral Oval for Rankin Inlet; equatorward of the auroral oval for Saskatoon (not used) PC=Polar Cap for Rankin Inlet; Auroral Oval for Saskatoon (Note: the data files for RNK and SAS have the same format, so the PC designator means flows above the pertinent boundary (polar cap boundary for RNK, auroral oval equatorward boundary at SAS) and the AO designator means flows below the pertinent boundary.)       time [YYYYMMDDhhmmss]       flagAO [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       flagPC [-1=flow could not be observed. 0=flow could be observed, but was not. 1=flow was observed]       FWHMavg_AO [degrees]       FWHMkmavg_AO=[km]       longtestranges=[ignore]       Velmaxavg_AO=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_AO=[m/s, determined from the Gaussian fits]       FWHMavg_PC=[degrees]       FWHMkmavg_PC=[km]       Velmaxavg_PC=[m/s, actual average of max V in each range gate used]       VelmaxFITavg_PC=[m/s, determined from the Gaussian fits] ;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;; For the bearings/orientation, see the orientation text files. The following four variables were calculated in a first step but are not those used in the paper. They were not found with the strict selection criteria. **Please do not use.**       mbearingAO=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       mbearingPC=[degrees in magnetic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]          gbearingAO=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)]       gbearingPC=[degrees in geographic coordinates, a negative value is South of East (clockwise from East), a positive value is North of East (CC)] ;;;;;;;;;;;;;;;       minlatAO=[degrees, min geographic latitude of the flow]       maxlatAO=[degrees, max geographic latitude of the flow]       minlatPC=[degrees, min geographic latitude of the flow]       maxlatPC=[degrees, max geographic latitude of the flow]       mltAO=[degrees (MLT)]       mltPC=[degrees (MLT)]       AE=[nT]       AL=[nT]       SYMH=[nT]       IMFBy=[nT]       IMFBz=[nT]             F107=[sfu] The following list describes the columns in each data file labeled, ***_orientation_YYYY.txt  Files named  ***_orientation_poleward_YYYY.txt are for poleward-directed flows.  Each text file is for a different year (YYYY).  The orientation was determined when enough bearings between RGs were available. See Gabrielse et al. [2018] for description.  https://doi.org/10.1029/2018JA025440  AO=auroral oval PC=polar cap       time [YYYYMMDDhhmmss]       mbearingAO [degrees clockwise from magnetic North]       gbearingAO [degrees clockwise from geographic North]       mbearingPC [degrees clockwise from magnetic North]       gbearingPC [degrees clockwise from geographic North] The following list describes the columns in each data file labeled, ***_SPEC_TEST_***_noRG1-2.txt       time [YYYYMMDDhhmmss]       RG [the range gate number at which the polar cap boundary was determined at RNK, or the auroral oval's equatorial boundary at SAS]

opencc-by-4.0Jun 2024View details →

Supplementary Information to: "Living on the edge: Response of rudist bivalves (Hippuritida) to hot and highly seasonal climate in the low-latitude Saiwan site, Oman"

This dataset contains supplementary information required to understand and reproduce the study detailed in our manuscript titled "Living on the edge: Response of rudist bivalves (Hippuritida) to hot and highly seasonal climate in the low-latitude Saiwan site, Oman" which was submitted for publication to Palaeogeography, Palaeoclimatology, Palaeoecology.

opencc-by-4.0Aug 2017View details →

Model Data for "Increased Ocean Heat Convergence into the High Latitudes with CO2-Doubling Enhances Polar-Amplified Warming."

This is the data repository for the following published study: Singh HA, Rasch PJ, and Rose BEJ.  "Increased Ocean Heat Convergence into the High Latitudes with CO2-Doubling Enhances Polar-Amplified Warming",  Geophysical Research Letters, Oct 2017, doi: 10.1002/2017GL074561. Please see 'README.txt' for further details on the data files included.

dryad40/100

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

The Fezouata Shale Formation has dramatically impacted our understanding of early Ordovician marine ecosystems before the Great Ordovician Biodiversification Event (GOBE), thanks to the abundance and quality of exceptionally preserved animals within. Systematic work has noted that the shelly fossil sub-assemblages of the Fezouata Shale biota are typical of open-marine deposits from the Lower Ordovician, but no studies have tested the quantitative validity of this statement. We extracted 491 occurrences of recalcitrant fossil genera from the Paleobiology Database to reconstruct 31 sub-assemblages, to explore the paleoecology of the Fezouata Shale and other contemporary, high-latitude (66°S – 90°S) deposits from the Lower Ordovician (485.4 Ma – 470 Ma) and test the interpretation that the Fezouata Shale biota is typical for an Ordovician open-marine environment. Sørensen's dissimilarity metrics and Wilcoxon tests indicate that the sub-assemblages of the Tremadocian-aged lower Fezouata Shale are approximately 20 percent more heterogenous than the Floian-aged upper Fezouata Shale. Dissimilarity metrics and visualization suggests that while the lower Fezouata and upper Fezouata share faunal components, the two sections have distinct faunas. We find that the faunal composition of the lower Fezouata Shale is comparable with other Tremadocian-aged sub-assemblages from high latitudes, suggesting that it is typical for an early Ordovician open-marine environment. We also find differences in faunal composition between Tremadocian- and Floian-aged deposits. Our results corroborate previous field-based and qualitative systematic studies that concluded that the shelly assemblages of the Fezouata Shale are comparable with those of other Lower Ordovician deposits from high latitudes. This establishes the first quantitative baseline for examining the composition and variability within the assemblages of the Fezouata Shale which will be key to future studies attempting to discern the degree to which it can inform our understanding of marine ecosystems just before the start of the GOBE.

opencc-zeroFeb 2024View details →

opencc-by-4.0Feb 2022View details →

Genetic basis of growth reaction to drought stress differs in contrasting high-latitude treeline ecotones of a widespread conifer

Raw and filtered SNP data and raw tree ring data of the analysed trees. R scripts for SNP filtering, phenotypic data and genotype-phenotype association analysis.

opencc-by-4.0Sep 2022View details →

Investigation of the southern hemisphere mid-high latitude thermospheric ∑O/N2 responses to the Space-X storm

This data sets are the data used to plot the figures in the above mentioned paper (Figure 3 to 6) All files are in dimension 288*144*6, 288 stands for longitudes number from -180 to 180 with a resolution of 1.25 144 stands for latitude numbers fro -88.75 to 88.75 with a resolution of 1.25. 6 stands for the time, 0:20, 2:20, 4:20, 7:20, 10:20 and 13:20 UT on DOY 34. dON2 stand for the percentage diff of column density ratio of O to N2 between DOY 34 and 32 UN stands for zonal wind, VN stands for meridional wind, TN stands for neutral temperature QJO stands for Joule heating rate per unit mass near 160 km POTEN stands for ionosphere potential

Figure 5 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia

Figure 5: Partial m/z 178, 202 and 228 mass chromatograms showing the distribution of common polycyclic aromatic hydrocarbons (PAH) in the aromatic fraction.

Figure 4 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia

Figure 4: Partial m/z 191 and 217 mass chromatograms used in calculation of sterane/hopane ratio. A ratio of 0.03 indicates that a very significant proportion of overall biomass in the lake was derived from bacteria.

Figure 2 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia

Figure 2: An uncommon example of disarticulation of a fish carcass, collected during an excavation of the Koonwarra Fossil Beds led by Tom Rich in 2013. This specimen was collected approximately 5 m from the bottom of the unit (defined here as the first> 20 cm thick unit of green siltstone/mudstone; the underlying rocks are predominantly cross-bedded, fluviatile arkosic sandstone).

Figure 3 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia

Figure 3: Saturate fraction total ion chromatogram and m/z 85 mass chromatogram showing distribution and relative abundances of n-alkanes and isoprenoids pristane and phytane.

Figure 1 in Organic geochemistry of a high-latitude Lower Cretaceous lacustrine sediment sample from the Koonwarra Fossil Beds, South Gippsland, Victoria, Australia

Figure 1: Location of the Lower Cretaceous Koonwarra Fossil Beds in South Gippsland, Victoria, Australia

opencc-by-4.0Dec 2017View details →

Fig. 4 in Morphological keys to advance the understanding of protostrongylid biodiversity in caribou (Rangifer spp.) at high latitudes

Fig. 4. Line drawings of caudal extremities of Parelaphostrongylus andersoni and Varestrongylus eleguneniensis dorsal spine larvae from Prestwood (1972) and Verocai et al. (2014). The line drawings clearly show the characteristic morphological features identified in this study.