Find research datasets worth reusing

The impact of individual variation on abrupt collapses in mutualistic networks

R Data and R scripts for the paper in Ecology Letters "The impact of individual variation on abrupt collapses in mutualistic networks" Contact: <a href="mailto:gbaruahecoevo@gmail.com">gbaruahecoevo@gmail.com</a>

opengpl-2.0Sep 2021View details →

Dataset: Impact of salinization on lake stratification and spring mixing v1.0 L&O Letters

Scripts, model configurations and outputs to process the data and recreate the figures from Ladwig, R., Rock, L.A, Dugan, H.A. (-): Impact of salinization on lake stratification and spring mixing. This repository includes the setup and output from the lake model ensemble (GLM, GOTM, Simstrat) ran on the lakes Mendota and Monona. Scripts to run the models are located under /numerical and the scripts to process the results for the discussion of the paper are in the top main repository. The scripts to derive the theoretical solution are located under /analytical. Buoy monitoring data are located under /fieldmonitoring. The final figures are located under /figs_HD.

Dataset - Impact of 3D radiative transfer on airborne NO2 imaging remote sensing over cities with buildings

This dataset was created by Marc Schwaerzel (marc.schwaerzel@empa.ch) and is intended to get along with the Schwaerzel et al. (2021) AMT publication (amt-2020-146) . The data and the data structure is described in the readme.md text file. The dataset contains: - libRadtran output (radiances and AMFs) - Synthetic SCDs

data sets for the article Short‑term impact of crop diversifcation on soil carbon fuxes and balance in rainfed and irrigated woody cropping systems under semiarid Mediterranean conditions

Diversifcation practices such as intercropping in woody cropping systems have recently been proposed as a promising management strategy for addressing problems related to soil degradation, climate change mitigation and food security. In this study, we assess the impact of several diversifcation practices in diferent management regimes on the main carbon fuxes regulating the soil carbon balance under semiarid Mediterranean conditions.

opencc-by-4.0Oct 2020View details →

The impact of biological sex on alternative splicing

These files were pulled from the results obtained through the execution of the <a href="https://www.nextflow.io">Nextflow</a> workflow <a href="https://github.com/lifebit-ai/rmats-nf">rmats-nf</a> and through numerous notebooks. How the data were generated are noted for each file. <ol> <li>fromGTF.tar.gz - One for each splicing type, generated within <a href="https://github.com/lifebit-ai/rmats-nf">rmats-nf</a>: fromGTF.A3SS.txt, fromGTF.A5SS.txt, fromGTF.MXE.txt, fromGTF.RI.txt,fromGTF.SE.txt.</li> <li>gtex.tar.gz.  This is a a tar'd and gzipped version of the corrected gtex.corrected.rds file that is constructed by the `differentialGeneExpressionAnalysis.ipynb` jupyter notebook.  A cautionary note, the latest version of GTEx is through AnViL -- see note regarding latest access ability to (GTEx data)[GTEx.md].</li> <li>rmats_final.tar.gz.   For each splicing type, we have 5 files for there is a matrix of all included junction (ijc) counts, inclusion lengths (inclen), percent spliced in as calculated by rMATS 3.2.5, skipped junction counts (sjc) and skipped junction lengths (skiplen) for each junction and for each sample (SRR) generated by <a href="http://github.com/lifebit-ai/rmats-nf">rmats-nf</a>.</li> <li>SraRunTable.txt.gz.  Old way of obtaining GTEx accessions.</li> <li>srr.tar.gz - This file contains the Sequence Run (SRR) data merged with phenotype data, generated by <a href="http://github.com/TheJacksonLaboratory/sexBiasedAlternativeSplicing/jupyter/differentialGeneExpressionAnalysis.ipynb">differentialGeneExpressionAnalysis.ipynb</a></li> </ol>

Model output for "Impact of intensifying nitrogen limitation of ocean net primary production is fingerprinted by nitrogen isotopes"

Description. The data included in this repository is output of simulations performed with the NEMO-PISCESv2 global ocean-biogeochemical model. Simulations involved forcing the NEMO-PISCESv2 with global warming associated with historical and future emissions, as well as the historical and future trends in atmospheric nitrogen deposition. Future climate change was according to the Representative Concentration Pathway 8.5 scenario (Dufresne et al., 2013; Riahi et al., 2011), which sees rapid warming during the 21st century. Historical and future atmospheric nitrogen deposition fields were created via linear interpolation of fields produced by Hauglustaine et al. (2014) at years 1850, 2000, 2030, 2050 and 2100. To represent the amplification of deposition since 1950 (Galloway 2014), 60 % of the increase between 1850 and 2000 occurred from 1950 onwards. In this study, we quantified the effect anthropogenic climate change and anthropogenic increases in atmospheric nitrogen deposition on the marine nitrogen cycle. The response of the marine nitrogen cycle to these combined stressors is highly uncertain, and we therefore employed this complex model with a strong representation of nitrogen cycling in an attempt to constrain the global behaviour of this important cycle. In addition, through the addition of nitrogen isotopes to the ocean-biogeochemical model, we also explored and described how the isotopes responded to these anthropogenic forcings, and if the isotopes uniquely fingerprinted the response for potential monitoring/detection purposes. Our abstract reads: “The open ocean nitrogen cycle is being altered by increases in anthropogenic atmospheric nitrogen deposition and climate change. How the nitrogen cycle responds will determine long-term trends in net primary production (NPP) in the nitrogen-limited low latitude ocean, but is poorly constrained by uncertainty in how the source-sink balance will evolve. Here we show that intensifying nitrogen limitation of phytoplankton, associated with near-term reductions in NPP, causes detectable declines in nitrogen isotopes (δ15N) and constitutes the primary perturbation of the 21st century nitrogen cycle. Model experiments show that ~75% of the low latitude twilight zone develops anomalously low δ15N by 2060, predominantly due to the effects of climate change that alter ocean circulation, with implications for the nitrogen sources-sink balance. Our results highlight that δ15N changes in the low latitude twilight zone may provide a useful constraint on emerging changes to nitrogen limitation and NPP over the 21st century.”   Coordinates Spatial resolution is global (90°S-90°N, 180°W-180°E, surface ocean to 5000 metres depth) and temporal resolution runs from years 1801 to 2100.   Citation. Buchanan PJ, Aumont O, Bopp L, Mahaffey C, and Tagliabue A (2021): An isotopic fingerprint of increasingly nitrogen-limited phytoplankton in a changing oceanic nitrogen cycle. Nature Communications.   Files provided. The data files provided are those that are required to create the figures for this study and/or perform key analyses (i.e. the time of emergence calculations). In the following, each figure or analysis has an associated python script and we list the data files needed to run that script. Python scripts can be found the lead authors GitHub at <a href="https://github.com/pearseb/PISCESiso_Ncycle_analysis">https://github.com/pearseb/PISCESiso_Ncycle_analysis</a>.     Put δ15NNO3 observations on model grid (process-d15Nno3_observations_on_model_grid.py): <ul> <li>“RafterTuerena_watercolumn_d15N_no3.txt”</li> </ul> Model assessment (process-model_assessment.py): <ul> <li>“ETOPO_spinup_d15Nno3.nc”</li> <li>“ETOPO_ORCA2.0_Basins_float.nc”</li> <li>“ETOPO_ORCA2.0.full_grid.nc”</li> <li>“RafterTuerena_watercolumn_d15N_no3_gridded.npz”</li> </ul> Time of emergence calculations (process-compute_toe.py): <ul> <li>“ETOPO_picontrol_1y_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_1y_nst_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_1y_d15n_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_1y_d15n_pom_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_ndep_1y_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_ndep_1y_nst_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_ndep_1y_d15n_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_ndep_1y_d15n_pom_ez_utz_ltz.nc”</li> <li>“ETOPO_future_1y_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_future_1y_nst_ez_utz_ltz.nc”</li> <li>“ETOPO_future_1y_d15n_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_future_1y_d15n_pom_ez_utz_ltz.nc”</li> <li>“ETOPO_future_ndep_1y_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_future_ndep_1y_nst_ez_utz_ltz.nc”</li> <li>“ETOPO_future_ndep_1y_d15n_no3_ez_utz_ltz.nc”</li> <li>“ETOPO_future_ndep_1y_d15n_pom_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_1y_temp_ez_utz_ltz.nc”</li> <li>“ETOPO_future_1y_temp_ez_utz_ltz.nc”</li> <li>“ETOPO_picontrol_1y_npp.nc”</li> <li>“ETOPO_picontrol_ndep_1y_npp.nc”</li> <li>“ETOPO_future_1y_npp.nc”</li> <li>“ETOPO_future_ndep_1y_npp.nc”</li> <li>“ETOPO_picontrol_1y_nfix.nc”</li> <li>“ETOPO_picontrol_ndep_1y_nfix.nc”</li> <li>“ETOPO_future_1y_nfix.nc”</li> <li>“ETOPO_future_ndep_1y_nfix.nc”</li> </ul> Figure 1 (fig-main1.py): <ul> <li>“ncycle_changes.nc”</li> <li>“sources_and_sinks.nc”</li> </ul> Figure 2 (fig-main2.py): <ul> <li>“figure2D_ndep_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_ndep_d15npom_signal_usingPAR.nc”</li> <li>“figure2D_cc_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_cc_d15npom_signal_usingPAR.nc”</li> <li>“figure2D_picdep_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_picdep_d15npom_signal_usingPAR.nc”</li> <li>“ETOPO_ToE_futndep_depthzones.nc”</li> <li>“ETOPO_ToE_fut_depthzones.nc”</li> <li>“ETOPO_ToE_picndep_depthzones.nc”</li> <li>“ToE_futndep_curves.txt”</li> <li>“ToE_fut_curves.txt”</li> <li>“ToE_picndep_curves.txt”</li> </ul> Figure 3 (fig-main3.py): <ul> <li>“figure2D_cc_d15npom_signal_usingPAR.nc”</li> <li>“ETOPO_fluxanalysis_results.nc”</li> <li>“figure2D_cc_din_e15n.nc”</li> </ul> Figure 4 (fig-main4.py): <ul> <li>“ETOPO_direct_indirect_effects.nc”</li> </ul> Supp Figure 1 (fig-supp1.py): <ul> <li>“figure_d15Nmaps.nc”</li> </ul> Supp Figure 2 (process-model_assessment.py): <ul> <li>Produced by process-model_assessment.py (see data above)</li> </ul> Supp Figure 3 (fig-supp3.py): <ul> <li>“d15nstats.txt”</li> </ul> Supp Figure 4 (fig-supp4.py): <ul> <li>“ndep_Tg_yr.nc”</li> </ul> Supp Figure 5 (fig-supp5.py):y <ul> <li>“ncycle_changes_climatechangeonly.nc”</li> </ul> Supp Figure 6 (fig-supp6.py): <ul> <li>“ncycle_changes_ndeponly.nc”</li> </ul> Supp Figure 7 (fig-supp7.py): <ul> <li>“figure_depthzones.nc”</li> </ul> Supp Figure 8 (fig-supp8.py): <ul> <li>“figure2D_ndep_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_ndep_d15npom_signal_usingPAR.nc”</li> <li>“figure2D_cc_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_cc_d15npom_signal_usingPAR.nc”</li> <li>“figure2D_picdep_d15nno3_signal_usingPAR.nc”</li> <li>“figure2D_picdep_d15npom_signal_usingPAR.nc”</li> <li>“BGCP_ETOPO_merged_alt.nc”</li> <li>“ETOPO_ToE_futndep_depthzones.nc”</li> <li>“ETOPO_ToE_fut_depthzones.nc”</li> <li>“ETOPO_ToE_picndep_depthzones.nc”</li> <li>“BGCP_ETOPO_merged_alt.nc”</li> <li>“ToE_fut_curves.txt”</li> <li>“ToE_futndep_curves.txt”</li> <li>“ToE_picndep_curves.txt”</li> </ul> Supp Figure 9 (fig-supp9.py): <ul> <li>“figure2D_ndep_no3_utz.nc”</li> </ul> Supp Figures 10 and 11 (process-0D_model_phyto_frac.py): <ul> <li>Produced by process-0D_model_phyto_frac.py and no data required.</li> </ul> Supp Figure 12 (process-compute_toe.py): <ul> <li>Produced by process-compute_toe.py (see data above)</li> </ul>   References. Dufresne, J. L., Foujols, M. A., Denvil, S., Caubel, A., Marti, O., Aumont, O., et al. (2013). Climate change projections using the IPSL-CM5 Earth System Model: From CMIP3 to CMIP5. Climate Dynamics (Vol. 40). https://doi.org/10.1007/s00382-012-1636-1 Galloway, J. N. (2014). The Global Nitrogen Cycle. In Treatise on Geochemistry (2nd ed., Vol. 10, pp. 475–498). Elsevier. https://doi.org/10.1016/B978-0-08-095975-7.00812-3 Hauglustaine, D. A., Balkanski, Y., & Schulz, M. (2014). A global model simulation of present and future nitrate aerosols and their direct radiative forcing of climate. Atmospheric Chemistry and Physics, 14(20), 11031–11063. https://doi.org/10.5194/acp-14-11031-2014 Riahi, K., Rao, S., Krey, V., Cho, C., Chirkov, V., Fischer, G., et al. (2011). RCP 8.5—A scenario of comparatively high greenhouse gas emissions. Climatic Change, 109(1–2), 33–57. https://doi.org/10.1007/s10584-011-0149-y

opencc-by-4.0Oct 2021View details →

Set of cross sections presented in "Electronic excitation of benzene by low energy electron impact and the role of higher lying Rydberg states"

Contents: 117_ch_thresholds.txt: TCIS excitation energies obtained from the 117CH-B1 calculation. 305_ch_thresholds.txt: TCIS excitation energies obtained from the 305CH-B2 calculation. 117_ch_DCS.tar.gz: differential cross sections obtained from the 117CH-B1 calculation. 305_ch_DCS.tar.gz: differential cross sections obtained from the 305CH-B2 calculation. 305_ch_DCS_BC.tar.gz: differential cross sections obtained from the 305CH-B2 calculation with the Born-Closure procedure for the dipole-allowed transitions of band V. 305_ch_ICS_and_ICS_BC.tar.gz: elastic and summed electronic excitation integral cross sections and total cross sections, obtained from the 305CH-B2 calculation, with and without the Born-Closure procedure for the dipole-allowed transitions of band V.

Supplementary material for: RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding

Supplementary Material for the Article Santana-Garcia, W., Rocha-Acevedo, M., Ramirez-Navarro, L., Mbouamboua, Y., Thieffry, D., Thomas-Chollier, M., Contreras-Moreira, B., van Helden, J., Medina-Rivera, A., 2019. RSAT variation-tools: An accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. Comput. Struct. Biotechnol. J. 17, 1415–1428.

opencc-zeroNov 2022View details →

Data for: Brood parasitism of Hooded Warblers by Brown-headed Cowbirds: Severe impact on individual nests but modest consequences for seasonal fecundity and conservation

<div> <div> <div> <div> Brood parasitism by Brown-headed Cowbirds (Molothrus ater) often has pronounced negative effects on host nests. However, the extent to which parasitism reduces annual reproduction and presents conservation challenges for host species is unclear. We address this issue with data from a color-banded population of Hooded Warblers (Setophaga citrina) in Pennsylvania, where Hooded Warblers have increased dramatically despite frequent nest parasitism. Our analysis is based on both an extensive dataset (8 years, 847 nests) on the per-nest impacts of cowbird parasitism, and female-based stochastic simulations that accurately reflect the reproductive biology and parasitism rate (30%) of our study population. Cowbird parasitism has multiple negative consequences for Hooded Warbler nests, including: (1) reduced host clutch size, (2) increased nest abandonment, (3) increased risk of complete failure due to predation, and (4) in surviving nests increased egg loss, hatching failure, and nestling mortality. We estimate that parasitism reduces success of Hooded Warbler nests 68%, from 1.29 to 0.41 fledglings per nest. For females and populations, however, the consequences of nest parasitism are considerably less extreme; female annual fecundity decreases 25% for each nesting attempt parasitized, and population-level fecundity drops 5.6% for each 10% increase in the frequency of parasitism. These more modest impacts are attributable to: (1) steep declines in rates of cowbird parasitism as the nesting season progresses, (2) rapid re-nesting following abandonment or failure of parasitized nests, and (3) regular double brooding, with second broods initiated in late June and July when the incidence of cowbird parasitism is low. Our results help resolve the paradox of how cowbird parasitism can have both severe consequences for individual host nests but more modest and sustainable conservation impacts on the seasonal fecundity of females and populations. They further underscore the importance of determining population-level effects of brood parasites before investing in costly management efforts. </div> </div> </div> </div>

opencc-zeroDec 2021View details →

Data from: Fertiliser application modulates the impact of interannual climate fluctuations and plant-to-plant interactions on the dynamics of annual species in a Mediterranean grassland

Background: Climate and land-use changes, which include the application of various types of organic and inorganic fertilisers, have been reducing the species diversity of Mediterranean grasslands and threatening their conservation. Annual plants are one of the most diverse functional groups of species in these grasslands, despite suffering competitive pressure from perennial herbaceous and woody species, and they are essential for ecosystem functioning and stability. Aims: To quantify how fertilisation modulates the impact of plant-to-plant interactions and climate fluctuations on the dynamics of annuals in Mediterranean grasslands. We hypothesised that the application of sewage sludge would increase competition between functional groups, reducing the abundance of annuals in the long-term, but would buffer the negative impacts of drought on the year-to-year fluctuation of the diversity of annuals. Methods: In a semi-natural species-rich Mediterranean grassland in northern Spain, we analysed the changes in the taxonomical and functional composition and diversity of annuals over 14 years in response to variations in the abundance of perennial herbaceous and woody species, climate fluctuations, and fertilisation with sewage sludge. We quantified separately the patterns of year-to-year fluctuations and long-term trends. Results: The frequency and diversity of annuals decreased with a higher abundance of perennial herbaceous species, drought in June, and cold winters. The addition of sewage sludge decreased the abundance of annuals in the long-term, seemed to promote competition between annuals and other functional groups at an interannual scale, and mitigated the negative effects of drought and cold. Conclusions: Fertilisation influences differently the temporal response of annuals to climate fluctuations and plant-to-plant interactions.

opencc-zeroNov 2022View details →

Data from: Quantifying and linking mechanism scenarios to invasive species impact

Plant species invasion represents one of the major drivers of biodiversity change globally, yet there is confusion about the nature of non-indigenous species (NIS) impact. This stems from differing notions of what constitutes invasive species impact and the scales at which it should be assessed. At local scales, the mechanisms of impact on local competitors can be classified into four scenarios: 1) minimal impact from NIS inhabiting unique niches; 2) neutral impact spread across the community and proportional to NIS abundance; 3) targeted impact on a small number of competitors with overlapping niches; and 4) pervasive impact that is disproportionate to NIS abundance and caused by modifications that filter out other species. I developed a statistical test to distinguish these four mechanism scenarios based on plant community rank-abundance curves and then created a scale-independent standardized impact score. Using an example long-term dataset, that has high native plant diversity and an abundance gradient of the invasive vine, Vincetoxicum rossicum, I show that impact resulted in either targeted or pervasive extirpations. Regardless of whether NIS impact is neutral, targeted, or pervasive, the net outcome will be the homogenization of ecosystems and reduced biodiversity at larger scales, perhaps reducing ecosystem resilience. The framework and statistical evaluation of impact presented in this paper provide researchers and managers with an objective approach to quantifying NIS impact and prioritizing species for further management actions.

opencc-by-4.0Nov 2022View details →

Results from the FLEX Model for the paper "Impact of variable electricity price on heat pump operated buildings"

The sqlite database contains the results of the Flex model for the Austrian single family house building stock ( insert GITHUB LINK). The building stock is represented by 36 different representative building archetypes (“OperationScenario_Component_Building”). Each building is simulated in twice. In the "reference" mode the energy demand is simply met and indoor comfort is kept constant. In the "optimization" mode the indoor temperature can be varied and thermal storages are charged and discharged minimizing the households energy cost based on a variable electricity price. The sqlite database “Variable_Price_Paper” contains the results for the building stock without any storage implemented. In “Variable_Price_Paper_TS” all buildings have a 750l hot water buffer storage and a 400l DHW storage implemented. The sqlite files SFH_23/25/27 contain the results for a single building where the maximum inside room temperature was changed to 23, 25 and 27 °C respectively. Following columns were used for generating the results for the Paper: In the hourly results relevant parameters used in the publication were: <ul> <li>ID_Scenario: each building simulated under a different electricity price has a unique scenario number. “OperationScenario” gives an overview of the scenarios.</li> <li>Grid: describes the electricity demand from the grid by the household.</li> </ul> In the yearly results relevant parameters used in the publication were: <ul> <li>ID_Scenario</li> <li>TotalCost: represent the yearly operation cost</li> <li>Grid: electricity demand summed up for the whole year</li> </ul> 5 different electricity prices are used for scenario generation. The first price is constant, “electricity_2” is the real time price from 2021 plus a hypothetical grid fee of 20cents/kWh. “electricity_3, electricity_4, electricity_5” are prices generated for 2030 for Austria with the Balmorel model. Their profiles can be found under “OperationScenario_EnergyPrice”.

opencc-by-4.0Nov 2022View details →

The impact of cefuroxime prophylaxis on human intestinal microbiota in surgical oncological patients - Dataset (FASTQ FILES)

Dataset containing FASTQ files of the sequenced samples, generated by the Illumina MiSeq platform.  This data is freely available under a CC-BY license; if you use it in your work, please cite our paper, "The impact of cefuroxime prophylaxis on human intestinal microbiota in surgical oncological patients" (DOI 10.3389/frmbi.2022.1092771).

opencc-by-4.0Oct 2023View details →

Modeling the recent drought and thinning impacts on energy, water and carbon fluxes in a boreal forest

This dataset includes the data used for model calibration and validation, as well as the simulation files with accepted runs, which are available for the readers to re-generate the results of this work. The *.bin files are the data for driving the model and for calibration and validation. They are specifically in the format for the CoupModel. Therefore, to check the data the CoupModel software needs to be installed.  Additionally, we provide the software for CoupModel, which the readers could install on local computers to check the simulations. For detailed instructions on how to run CoupModel, please visit the CoupModel website www.coupmodel.com.

opencc-by-4.0Sep 2022View details →

Operator-Software Impact in Local Tie Networks: Case study at Geodetic Observatory Wettzell (Data set)

The operator-software impact describes the differences between results introduced by different operators using identical software packages but applying different analysis strategies to the same data. This contribution studies the operator-software impact in the framework of local tie determination, and compares two different analysis approaches. Both approaches are used in present local tie determinations and mainly differ in the consideration of the vertical deflection within the network adjustment. However, no comparison study has yet been made so far. Selecting a suitable analysis approach is interpreted as a model selection problem, which is addressed by information criteria within this investigation. A suitable model is indicated by a sufficient goodness of fit and an adequate number of model parameters. Moreover, the stiffness of the networks is evaluated by means of principle component analysis. Based on the date of a measurement campaign performed at the Geodetic Observatory Wettzell in 2021, the impact of the analysis approach on local ties is investigated. For that purpose, an innovated procedure is introduced to obtain reference points of space geodetic techniques defining the local ties. Within the procedure, the reference points are defined independently of the used reference frame, and are based on geometrical conditions. Thus, the results depend only on the estimates of the performed network adjustment and, hence, the applied network analysis approach. The comparison of the horizontal coordinates of the determined reference points shows a high agreement. The differences are less than 0.2 mm. However, the vertical components differ by more than 1 mm, and exceed the coverage of the estimated standard deviations. The main reasons for these large discrepancies are a network tilting and a network bending, which is confirmed by a residual analysis.

opencc-zeroNov 2022View details →

Data from: Metabarcoding of trap nests reveals differential impact of urbanization on cavity-nesting bee and wasp communities

Urbanization is affecting arthropod communities worldwide, for example by changing the availability of food resources. However, the strength and direction of a community's response are species-specific and depend on the species' trophic level. Here, we investigated interacting species at different trophic levels in nests of cavity-nesting bees and wasps along two urbanization gradients in four German cities using trap nests. We analyzed bee and wasp diversity and their trophic interaction partners by metabarcoding the DNA of bee pollen and preyed arthropods found in wasp nests. We found that the pollen richness increased with increasing distance from city centers and at sites characterized by a high percentage of impervious and developed surfaces, while the richness of pollinators was unaffected by urbanization. In contrast, species richness of wasps, but not their arthropod prey, was highest at sites with low levels of urbanization. However, the community structure of wasp prey changed with urbanization at both local and regional scales. Throughout the study area, the community of wasps consisted of specialists, while bee species were generalists. Our results suggest that Hymenoptera and their food resources are negatively affected by increasing urbanization. However, to understand the distribution patterns of both, wasps and bees in urban settings other factors besides food availability should be considered.

opencc-by-4.0Dec 2022View details →

The Potential of UAV Imagery for the Detection of Rapid Permafrost Degradation: Assessing the Impacts on Critical Arctic Infrastructure

Dataset and Python code complementing the publication  Kaiser, S.; Boike, J.; Grosse, G.; Langer, M. The Potential of UAV Imagery for the Detection of Rapid Permafrost Degradation: Assessing the Impacts on Critical Arctic Infrastructure. Remote Sens. 2022, 14, 6107. https://doi.org/10.3390/rs14236107 <ul> <li>AROSICS.zip contains the orthomosaic of 2018 shifted to 2019 with the AROSICS algorithm. The .txt file contains the x-/y-shift in map units [m].</li> <li>CC_DistancePointClouds.zip contains the distance point clouds as calculated via Multiscale Model to Model Comparison (M3C2 after Lague et. al, 2013) at each post-processing level (I-IV) and the validation.</li> <li>CC_PointCloudProcessing.zip contains the point clouds at post-processing levels II-IV.</li> <li>ODM_Orthomosaics.zip contains the orthomosaics of 2018 and 2019 as processed in WebODM (based on OpenDroneMap).</li> <li>ODM_PointClouds.zip contains the raw point clouds of 2018 and 2019 (post-processing level I) as processed in WebODM (based on OpenDroneMap).</li> <li>PointCloudStatistics.zip contains the M3C2 distance statistics at each post-processing level (I-IV) and the validation for the whole point cloud and the two subsets.</li> <li>Python_ChangeDetection.zip contains the Python (v 3.6) script for calculating the displacement vectors Dx, Dy, Dz for each distance point cloud, rasterizing the attribute "vertical displacement (Dz)" of the distance point cloud with the highest accuracy (post-processing level IV), applying a Sobel edge detection filter to highlight high image gradients and clustering the image into two categories: change (high image gradient) and no change (low image gradient). Needed data input is CC_DistancePointClouds.zip.</li> <li>Subsets.zip contains shapefiles of the two subsets.</li> </ul>

opencc-by-4.0Dec 2022View details →

Ivercori Dataset and dictionary. Ivermectin impact in COVID-19 pneumonia mortality and need of respiratory support

Dataset of IVERCORI and variables dictionary. IVERCORI is a propensity matched score retrospective study that analyses the impact of ivermectin in COVID-19 pneumonia in-hospital mortality and need of respiratory support:

opencc-zeroDec 2022View details →

Data for: Herbivores' impacts cascade through the brown food web in a dryland

Food webs can be conceptualized as being powered by energy derived from living and dead vegetation, respectively. Most food web research has focused on "green food webs" which begin with the consumption of living vegetation by herbivores. However, "brown food webs" which stem from the consumption of senescent vegetation by detritivores are also an important channel of energy transfer. In theory, herbivores have the potential to disrupt brown food webs by consuming plant material before it has the opportunity to senesce and become available for detritivores. Here we investigate the effects that grazing by kangaroos whose population had irrupted in the absence of an apex predator has on the brown food web in an arid environment. We compared the cover of living and dead vegetation and the abundances of detritivorous termites and their predators inside one ha herbivore exclosures and nearby control plots. Results show there was more cover of living and dead vegetation inside the exclosures. Similarly, abundances of termites and small vertebrate predators of termites were greater inside the exclosures. Our study provides evidence that consumption of plant material by irruptive herbivores can disrupt the functioning of the brown food web by reducing the flow of energy from plant biomass to termites which in turn translates to reduced abundances of termites and small vertebrates that feed on termites. Our findings have implications for conservation and management because they shed light on a previously unconsidered threat to the functioning of arid ecosystems, disruption of brown food webs by irruptive herbivores.