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Replication Data for: Can the absolute configuration of cyclic peptides be determined with vibrational circular dichroism?
No full text This dataset contains output files for a conformational search (CREST 2.10), single point energies,optimized geometries, frequencies and VCD properties (Gaussian 16 Rev. B.01) for the eight molecules and their absolute configurations (AC):
Cyclo(Ala-bAla-Pro-bAla): SS, SR
Cyclo(Ala-Gly-Gly-Ser-Gly-Gly): SS, RS
Cyclo(Val-Gly-Gly-Ser-Gly-Gly): SS, RS
Cyclo(Boc-Cys-Pro-Gly-Cys-OMe): RSR, SRR, SSR, SSS
Cyclo(Val-Gly-Ser-Gly-Ala-Gly): RSS, SRS, SSR, SSS
Cyclo(Leu-Gly-Ser-Gly-Ala-Gly): RSS, SRS, SSR, SSS
Cyclo(Boc-Cys-Pro-Leu-Cys-OMe): RSRR, RSSR, SRRR, SRSR, SSRR, SSRS, SSSR, SSSS
Cyclo(Phe-D-Pro-Gly-Arg-Gly-Asp): RRSS, RSRS, RSSR, RSSS, SRSS, SSRS, SSSR, SSSS
The conformational search is done with CREST while the rest is done with GAUSSIAN 16.
And experimental IR and VCD spectra of:
Cyclo(Ala-Gly-Gly-Ser-Gly-Gly): SS
Cyclo(Val-Gly-Gly-Ser-Gly-Gly): SS
Cyclo(Val-Gly-Ser-Gly-Ala-Gly): SSS
Cyclo(Leu-Gly-Ser-Gly-Ala-Gly): SSS </p
Replication Data for: Climate Nags: Affect and the Convergence of Global Risk in Online Networks
No full textThis data set contains the IDs of the 1,186,322 tweets used in "Climate Nags: Affect and the Convergence of Global Risk in Online Networks" (published in Continuum, 2023). The data was collected from Twitter's Streaming API using the DMI-TCAT during the first four months of the Coronavirus pandemic; 2020 U.S. presidential race; and the early stages of the 2022 Russia–Ukraine War. These collections were then filtered based on key words related to climate change (see README file for more details)
Reference-case: μ-CT-based simulation of open porosities - input data
No full textAs attachment to publication "Voxel-based 3D reconstruction of additively manufactured open porous structures for CFD simulation" the following data are shared:
• The original μ-CT data are given as tif-file as Appendix 1.
• The STL data after voxelization with VoxTex is given as Appendix 2.
• The parameters for the mesh setup with Siemens Simcenter simulation software (Simcenter STAR-CCM+) are given as Appendix 3
Modernising sport psychology in football: Interview guides and supplementary data
No full textThe repository includes interview guides, focus group guides, and other supplementary data from the research study titled: Modernising Sport Psychology in Football. The Norwegian Centre granted the study ethical clearance for Research Data (NSD) with reference: 22024
Replication Data for: Small rodent population cycles and plants – after 70 years, where do we go?
No full textSmall rodent population cycles characterise northern ecosystems, and the cause of these cycles has been a long-lasting central topic in ecology. In the related publication, we present a systematic literature review on whether plants can cause rodent population cycles, dividing this idea into four different hypotheses with different pathways of plant impacts and related assumptions. We identified 231 studies from 150 publications covering studies from the temperate biome to the tundra, across various study systems, and different topics. The data on included and excluded publications are deposited here
Replication Data for: Adding density-independent breeding success reduce process error in a state space model of the population dynamics of Willow grouse (Lagopus lagopus)
No full textThe data contains three variables, that is, 1)YEAR, 2) estimates of ADULT DENSITY from line transect counts of willow grouse in central Sweden between 1964 and 2019, and 3) the standardized brood size in the same period. Note that data on brood size is missing between 1995 and 2003. Abstract of article
Decisions on management policies require insights in how populations respond to different actions. The form and strength of negative density feedback is central in understanding population response, but identifying the proper function can be challenging when the relative magnitude of stochastic variation is high. Observation error in addition to natural process error will bias population variability and estimate of density dependence. Hierarchical state-space models can be used to separate process and observation errors, and recent advances in Bayesian framework and MCMC methods have increased their popularity. Here we develop a hierarchical state-space model, where the process equation is a Gompertz model with per capita variation in breeding success added as a stochastic process. We use data from a 56 year line transect monitoring program of a willow grouse (Lagopus lagopus) population in south central Sweden. The model fit resulted in a carrying capacity of 8.608 adults per km2 and a λ_max of 3.20, which is close to the 4.5 based on maximum survival and fecundity values. Accounting for a stochastic density-independent per captita breeding success resulted in a substantially reduced processes error (standard deviation), 0.2410 compared to 0.1638. Maximum growth is expected to occur at 2.208 adults per km2. Combining both process and observation error resulted in a CV-value of 0.163 at carrying capacity, which is similar to previously reported range of CV-values of many bird populations. However, only using the reduced process error result in a CV of 0.076. A bootstrap test for monotonic trend was statistically insignificant, probably due to a steady increase in density the last six years of the time series. We conclude that state-space models to separate observation and process error can provide important information on population dynamics, but that effort should be made to estimate measurement error independently. There is a lack of data on population dynamics at low densities, and we suggest that additional experimental harvest should be considered to improve the understanding of negative density feedback in relation to stochastic processes at low densities.</p
Supplementary data to large-scale fire experiment with exposed cross-laminated timber in ceiling and wall - #FRIC-02.
No full textThis data set contains raw data, mainly temperature data, from the large-scale fire experiment, named #FRIC-02, with exposed cross-laminated timber on both the wall and the ceiling. This fire test is among the largest fire experiment conducted to date and gave valuable insights into fire spread rates, external heat fluxes to the facade, charring rates of the CLT. More information about the experiment is found in the open-access journal paper with name: "Fire spread in a large compartment with exposed cross-laminated timber and open ventilation conditions: #FRIC-02 - Exposed wall and ceiling"
Supporting data for: Isotopic turnover in polar cod (Boreogadus saida) muscle determined through a controlled feeding experiment
No full textThis dataset contains the environmental data (temperature in degrees celcius and oxygen saturation in percent) and isotopic data (d13C and d15N) collected during a controlled feeding experiment of polar cod to determine the isotopic turnover rate of carbon and nitrogen in muscle tissue. This experiment is associated with the Nansen Legacy project with funding from The Research Council of Norway (#276730) and UiT-The Arctic University of Norway Department of Arctic and Marine Biology
Search strategies for a review on Cross Sector Collaboration for Work Inclusion
No full textDATASET MIGRATED FROM FIGSHARE: This dataset consists of the search documentation for a review on cross sector collaboration for work inclusion. It contains strategies for the databases Scopus, Web of Science (Core Collection), Medline (Ovid), PsycInfo (Ovid), Business Source Elite (EBSCOhost). See the readme.txt for further documentation.</p
Replication data for: Testing foraging optimization models in brown bears: Time for a paradigm shift in nutritional ecology?
No full textDATASET MIGRATED FROM FIGSHARE: This data contains two data files. One contains stable isotope ratios for indiviudally marked brown bears in a monitored population in Sweden from 1993 to 2020. The second file contains the stable isotope values for five common foods of brown bears; ants, moose (derived from hair), bilberry, crowberry, and lingonberry. The data and code were used to estimate the dietary proportions of each food source.</p