Find research datasets worth reusing

Fig. 8 in R K (1902-1946) und seine grundlegenden Arbeiten über Coccinellidae und die Larven der Coleoptera*

Fig. 8: Taf. 3 aus den Bestimmungstabellen der häufigsten deutschen Scarabaeidenlarven (1940).

Fig. 7 in R K (1902-1946) und seine grundlegenden Arbeiten über Coccinellidae und die Larven der Coleoptera*

Fig. 7: Taf. 1 aus den Bestimmungstabellen der häufigsten deutschen Scarabaeidenlarven (1940).

Fig. 9 in R K (1902-1946) und seine grundlegenden Arbeiten über Coccinellidae und die Larven der Coleoptera*

Fig. 9: Taf. 7 aus den Bestimmungstabellen der bekanntesten deutschen Elateridenlarven (1941).

Fig. 16 in R K (1902-1946) und seine grundlegenden Arbeiten über Coccinellidae und die Larven der Coleoptera*

Fig. 16: Taf. 4 aus "Platynaspis luteorubra GOEZE, ein neuer Larventypus der Coccinelliden" (1934).

opencc-by-nd-4.0Sep 2011View details →

FIGURE 3 in Comparative Morphological And Biological Studies Of Two Rhagidiid Mites: Robustocheles (R.) Deltacus And Rhagidia (R.) Qaliubiensis

FIGURE 3: Chaetotaxy of the dorsal and ventral leg surfaces of the larval, three nymphal and adult stages of a – R. (R.) qaliubiensis and b – R. (R.) deltacus.

opencc-by-nd-4.0Sep 2011View details →

FIGURE 2 in Comparative Morphological And Biological Studies Of Two Rhagidiid Mites: Robustocheles (R.) Deltacus And Rhagidia (R.) Qaliubiensis

FIGURE 2: Ventral chaetotaxy of the larval, three nymphal and adult stages of a – R. (R.) qaliubiensis and b – R. (R.) deltacus.

opencc-by-nd-4.0Sep 2011View details →

FIGURE 1 in Comparative Morphological And Biological Studies Of Two Rhagidiid Mites: Robustocheles (R.) Deltacus And Rhagidia (R.) Qaliubiensis

FIGURE 1: Genital male area of the two rhagidiid species: a – R. (R.) qaliubiensis and b – R. (R.) deltacus.

opencc-by-4.0Sep 2021View details →

R scripts for the practical exercises with QGIS in the book "Land Use Cover Datasets and Validation Tools"

This dataset includes a series of R scripts required to carry out some of the practical exercises in the book “Land Use Cover Datasets and Validation Tools”, available in open access. The scripts have been designed within the context of the R Processing Provider, a plugin that integrates the R processing environment into QGIS. For all the information about how to use these scripts in QGIS, please refer to Chapter 1 of the book referred to above. The dataset includes 15 different scripts, which can implement the calculation of different metrics in QGIS: <ul> <li>Change statistics such as absolute change, relative change and annual rate of change (Change_Statistics.rsx)</li> <li>Areal and spatial agreement metrics, either overall (Overall Areal Inconsistency.rsx, Overall Spatial Agreement.rsx, Overall Spatial Inconsistency.rsx) or per category (Individual Areal Inconsistency.rsx, Individual Spatial Agreement.rsx)</li> <li>The four components of change (gross gains, gross losses, net change and swap) proposed by Pontius Jr. (2004) (LUCCBudget.rsx)</li> <li>The intensity analysis proposed by Aldwaik and Pontius (2012) (Intensity_analysis.rsx)</li> <li>The Flow matrix proposed by Runfola and Pontius (2013) (Stable_change_flow_matrix.rsx, Flow_matrix_graf.rsx)</li> <li>Pearson and Spearman correlations (Correlation.rsx)</li> <li>The Receiver Operating Characteristic (ROC) (ROCAnalysis.rsx)</li> <li>The Goodness of Fit (GOF) calculated using the MapCurves method proposed by Hargrove et al. (2006) (MapCurves_raster.rsx, MapCurves_vector.rsx)</li> <li>The spatial distribution of overall, user and producer’s accuracies, obtained through Geographical Weighted Regression methods (Local accuracy assessment statistics.rsx).</li> </ul> Descriptions of all these methods can be found in different chapters of the aforementioned book. The dataset also includes a readme file listing all the scripts provided, detailing their authors and the references on which their methods are based.

opencc-by-4.0Jul 2016View details →

Figs 1-2 in Notes on Rhithrodytes BAMEUL, 1989, with the description of R. minimus nov.sp. from Algeria (Coleoptera, Dytiscidae. Hydroporini, Siettitiina)

Figs 1-2: Holotype of Rhithrodytes minimus nov.sp.: (1) habitus; (2) labels (scale bar 2 mm).

opencc-by-4.0May 2008View details →

Figure 2. R in Revision of Rogneda Uljanin, 1870 (Rhabditophora, Eukalyptorhynchia, Polycystididae) with the description of seven new species

Figure 2. R. minuta: prostate stylet type III (from the neotype).

opencc-zeroSep 2021View details →

Compiled comparative data and the R code from: "Why do some primate mothers carry their infant's corpse? A cross-species comparative study"

Non-human primates respond to the death of a conspecific in diverse ways, some of which may present phylogenetic continuity with human thanatological responses. Of these responses, infant corpse carrying by mothers (ICC) is the most frequently reported. Despite its prevalence, quantitative analyses of this behaviour are scarce and inconclusive. We compiled a database of 409 published cases across 50 different primate species of mothers' responses to their infants' deaths and used Bayesian phylogenetic regressions with an information-theoretic approach to test hypotheses proposed to explain between- and within-species variation in ICC. We found that ICC was more likely when the infant's death was non-traumatic (e.g. illness) versus traumatic (e.g. infanticide), and when the mother was younger. These results support the death detection hypothesis, which proposes that ICC occurs when there are fewer contextual or sensory cues indicating death. Such an interpretation suggests that primates are able to attain an awareness of death. In addition, when carried, infant age affected ICC duration, with longer ICC observed for younger infants. This result suggests that ICC is a by-product of strong selection on maternal behaviour. The findings are discussed in the context of the evolution of emotion, and implications for evolutionary thanatology are proposed.

opencc-zeroSep 2021View details →

Data and R code from: Nature calls: intelligence and natural foraging style predict welfare problems in captive parrots

Around half of all parrots (a highly threatened order) live in captivity. Here, some species thrive. Others, however, breed poorly or display stereotypic behaviours indicating stress. Using data on the prevalence of three types of stereotypic behaviour in pet (50 species; 1,378 individuals) and aviculture hatch rates (115 species; 10,255 breeding pairs), we applied Phylogenetic Comparative Methods (PCMs) to test hypothesised causes of this variation (relating to species' rarity and constraints on natural behaviour). In the first empirical evidence that high intelligence increases vulnerability to poor captive welfare, species with large relative brain sizes were found to be most at risk of oral and whole-body stereotypic behaviour. This suggests that if they are to be kept in private homes, such parrots must be offered substantially more cognitive stimulation. Self-harming behaviours involving feather damage were predicted by naturally relying on food items that require substantial handling, highlighting inadequacies in captive diets (often highly processed); while relatively low hatch rates in aviculture were predicted by small captive population sizes, potentially due to genetic bottlenecks, inbreeding, and/or low availability of compatible mates. These novel findings should help advance captive parrot husbandry, and inspire further research applying PCMs to understand and improve animal welfare.

opencc-zeroSep 2021View details →

Data and R scripts from: Assemblage reorganisation of South African dragonflies due to climate change

Aim: Climate change is expected to cause large shifts in species assemblages such as dragonflies and damselflies (Insecta: Odonata). Here we assess the influence of environmental drivers of turnover on Odonata assemblages. Secondly, we map the predicted spatial variation in species composition, first as a gradient of assemblage similarity, and then as discrete bioregions delineating major areas of odonate endemism. Finally, we map the magnitude of expected change in species turnover in response to climate change under two emission scenarios. Location: South Africa Methods: We used a spatial database comprising of 164 species of odonates and 20 covariates, to explore changes in compositional turnover using generalised dissimilarity models. Bioregions were compiled through various clustering techniques. Results: Present-day odonate bioregions correspond to climatic zones and are clearly separated by transitional zones with rapid spatial turnover. Present odonate bioregions are projected to undergo extensive reorganisation by 2050 and 2070. Temporal turnover in species composition is expected to reach up to 80% in the large arid interior and 64% along the coast. Half of all South Africa's protected areas are likely to experience climate-induced changes to dragonfly bioregions in the near future. Main conclusions: Species assemblages are rapidly changing. This work highlights future shifts in climate will result in complex and non-linear responses in Odonata communities. With ongoing climate change, current odonate bioregions are predicted to expand while others will contract considerably in size within the next thirty years. The current demarcated protected areas may be inadequate to protect dragonflies as climates change. Odonata can be used to track forefronts of climate change, which will likely affect a larger array of taxa as well.

opencc-by-4.0Dec 2020View details →

Data and R-Scripts: Predicting hotspots for invasive species introduction in Europe

The .rar file comprises all data and R-scripts needed to replicate our study entitled "Predicting Hotspots for Invasive Species Introduction in Europe" published in Environmental Research Letters. The folder data holds all input data as well as the final datasets used for training the algorithms, in the subfolder A_ML_ready_datasets. The folder descriptives provides tables with descriptive statistics. The folder figures provides files for all figures displayed in the manuscript and the supplementary material as well as visualizations of descriptive statistics for all background approaches in the corresponding subfolders. The folder results holds all generated results. The folder scripts provides all R-scripts used for intermediate computations. The master and master_results scripts coordinate all computations and the generation of results, respectively. Notably, various spatial layers were used to extract point-values of features which subsequently were used to estimate the models and generate the predictions. Here, we only upload the extracted point-values in the data folder. If you are interested in using any of the raw spatial layers, please refer to section 2.1.3. of our publication to find the corresponding references. Alternatively, feel free to reach out to me and I will direct you to the original databases and/or send you the raw spatial layers.

opencc-zeroOct 2021View details →

Emergence and radiation of distemper viruses in terrestrial and marine mammals - Input files, bash and R codes for analysing PDV and CDV sequence data

Canine distemper virus (CDV) and phocine distemper virus (PDV) are major pathogens to terrestrial and marine mammals. Yet little is known about the timing and geographical origin of distemper viruses and to what extent it was influenced by environmental change and human activities. To address this, we i) performed the first comprehensive time-calibrated phylogenetic analysis of the two distemper viruses; ii) mapped distemper antibody and virus detection data from marine mammals collected between 1972-2018; iii) and compiled historical reports on distemper dating back to the 18th century. We find that CDV and PDV diverged in the early 17th century. Modern CDV strains last shared a common ancestor in the 19th century with a marked radiation during the 1930s-50s. Modern PDV strains are of more recent origin, diverging in the 1970s-80s. Based on the compiled information on distemper distribution, the diverse host range of CDV and basal phylogenetic placement of terrestrial morbilliviruses, we hypothesize a terrestrial CDV-like ancestor giving rise to PDV in the North Atlantic. Moreover, given the estimated timing of distemper origin and radiation, we hypothesize a prominent role of environmental change such as the Little Ice Age, and human activities like globalisation and war in distemper virus evolution.

opencc-by-4.0Oct 2021View details →

Dataset and R code for the manuscript:Interspecific facilitation drives coexistence by favouring rare sensitive species and reducing performance disparities

The following directory contains the data necessary  to replicate the results obtained in the manuscript entitled: Interspecific facilitation drives coexistence by favouring rare sensitive species and reducing performance disparities  We provided an R workspace containing the data "Dataset1.RData", a "ReadMe.txt" archive with detailed information of the variables included in "Dataset1.RData", and the R code necessary to replicate the results and figures ("Rcode1.txt")

opencc-by-3.0-usOct 2022View details →

CHiMaD Phase Field Benchmark 8a r=0.99r*

Testing out new PFHub upload mechanism

opencc-by-4.0Jan 2022View details →

Host phylogeny and elevation predict infection by avian haemosporidians in a diverse New Guinean bird community (R script for analyses, figures, and supplemental figures )

This script performs the glmm analysis of the elevation and infection prevalence data as well as the script required to generate the figures in the article.

opencc-by-4.0Nov 2022View details →

Materiały do warsztatów "Dane przestrzenne w uczeniu maszynowym - środowisko R"

Zbiór danych przygotowany do warsztatu "Dane przestrzenne w uczeniu maszynowym - środowisko R" przeprowadzonego podczas konferencji <a href="https://geoinformacja20uam.pl/">Geoinformacja: Nauka – Praktyka – Edukacja</a> (02.12.2022 r.). Repozytorium z materiałami szkoleniowymi znajduje się na GitHub: <a href="https://github.com/kadyb/GEOINF2022">https://github.com/kadyb/GEOINF2022</a>. W archiwum .zip znajdują się dwa katalogi: "dane" oraz "zadanie", w skład których wchodzi: <ul> <li>scena Landsat 8 i 9 (7 kanałów spektralnych);</li> <li>klasy pokrycia terenu <a href="https://s2glc.cbk.waw.pl/">S2GLC</a>;</li> <li>poligony z zasięgiem powiatu śremskiego oraz wągrowieckiego.</li> </ul> Dane satelitarne zostały pobrane z <a href="https://earthexplorer.usgs.gov/">EarthExplorer</a>, a klasy pokrycia terenu z <a href="https://finder.creodias.eu/">CREODIAS</a>.