Find research datasets worth reusing

opencc-by-4.0Jul 2022View details →

Modelling assumptions and input dataset for the case study of the paper "Societal Effects of Large-Scale Energy Storage in the Current and Future Day-Ahead Market: A Belgian Case Study"

This data package includes the modelling assumptions and input data to replicate the results of the case study included in the paper "Societal Effects of Large-Scale Energy Storage in the Current and Future Day-Ahead Market: A Belgian Case Study". This paper is part of the 18th International Conference on the European Energy Market (EEM22). The case study models the Belgian day-ahead electricity market, in which the existing storage is considered, in addition to large-scale battery energy storage systems of different sizes for varying renewable energy shares. A detailed description of the case study is provided in the readme file.  This supplementary data package includes the following files:      --Belgium Model Input Data.xlsx:  Dataset used as input in the case study of the mentioned paper     --Modelling Assumptions.pdf: Modelling assumptions considered in the case study     --readme.txt (this file): Includes a detailed description of the data package   The data included in this dataset was collected from public open sources [1]-[2]. Please notice that this dataset does not replace the original open access information. For accessing the data, please visit the following websites: [1] “ENTSO-E Transparency Platform.” [Online]. Available: https://transparency.entsoe.eu/dashboard/show. [Accessed: 06-Jul-2022]. [2] “Grid data.” [Online]. Available: https://www.elia.be/en/grid-data. [Accessed: 06-Jul-2022].

Fig. 5 in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 5. Parasitoid prevalence per shrubs (dots) and galls (triangles) as a function of rose shrub densities per 50 m × 50 m plot and gall densities per shrub (nested linear fixed effect ANCOVA)

Fig. 2. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 2. a) Parasitoid number per shrub; b) parasitoid prevalence per shrub; c) parasitoid number per gall; d) parasitoid prevalence per gall as a function of rose shrub density per 50 m × 50 m plot (linear regressions). The dotted lines represent the 95% CI, while the dashed lines the prediction intervals

Fig. 1 in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 1. Gall density per shrub as a function of rose shrub density per 50 m × 50 m plot (linear regression). The dotted lines represent the 95% CI, while the dashed lines represent the prediction intervals

Fig. 4. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 4. a) Parasitoid numbers per shrubs (dots) and galls (triangles); b) parasitoid prevalences per shrubs (dots) and galls (triangles) versus gall numbers per shrub (nested linear fixed effect ANCOVA)

Fig. 3. a in Parasitoids Of The Bedeguar Gall (Diplolepis Rosae): Effect Of Host Scale On Density And Prevalence

Fig. 3. a) Parasitoid numbers per shrubs (dots) and galls (triangles); b) parasitoid prevalences per shrubs (dots) and galls (triangles) versus rose shrub density per 50 m × 50 m plot (nested linear fixed effect ANCOVA)

opencc-by-4.0Sep 2019View details →

Figure 5. Broad-scale components RDA 1-3 in Effects of temperature patterns on the spawining phenology and niche overlap of fish assemblages in the water bodies of the Dnipro River basin

Figure 5. Broad-scale components RDA 1-3 of the annual temperature variation. Black line – the original data, colored lines – smoothed data. The abscissa axis – the number of days from 1 July of the previous year to June 31 of the next year

opencc-by-4.0May 2022View details →

Fig. 1 in Effects of small-scale anthropogenic alterations in Euglossini bees at eastern Amazon forest

Fig. 1. Sampling transects located in the CaxiuanÃ National Forest, northeastern of ParÁ State, Brazil.

opencc-by-4.0May 2022View details →

Fig. 2 in Effects of small-scale anthropogenic alterations in Euglossini bees at eastern Amazon forest

Fig. 2. Abundances of individuals (A), species richness (B) and species diversity (C) of the Euglossine bees between areas (altered and preserved) in the CaxiuanÃ National Forest, ParÁ, Brazil.

opencc-by-4.0May 2022View details →

Fig. 3 in Effects of small-scale anthropogenic alterations in Euglossini bees at eastern Amazon forest

Fig. 3. PCoA ordination showing differences in species composition of Euglossini bees sampled in transects of the preserved area (triangles) and transects of the altered area (circles) at CaixuanÃ National Forest, ParÁ, Brazil.

opencc-by-4.0Aug 2024View details →

GEOLAB-InstaLatPile-Deltares: Small-scale experiments on Influence of installation effects on the performance of laterally loaded pile groups

<h2>InstaLatPile</h2> This dataset includes measurements from six small-scale tests on a 3x3 pile group with fixed-headed conditions, conducted in the Deltares laboratory. The aim of the test program is to quantify the impact of the pile group installation effects on the performance of laterally loaded groups. Therefore, two types of piles were modelled, replacement piles and displacement piles.

Fig. 5 in Effect of soil treatments for cottony cushion scale (Hemiptera: Monophlebidae) control on Nylanderia fulva (Hymenoptera: Formidicae) survival and trailing activity

Fig. 5. Correlations between the mean numbers of I. purchasi and N. fulva in pots treated with (A) CoreTect® (r = 0.88; n = 8), (B) Merit® 2F (r = 0.88; n = 8), and (C) control (untreated) (r = 0.60; n = 8).

Fig. 1 in Effect of soil treatments for cottony cushion scale (Hemiptera: Monophlebidae) control on Nylanderia fulva (Hymenoptera: Formidicae) survival and trailing activity

Fig. 1. Mean (n = 8) numbers of Icerya purchasi per pittosporum plant counted on 3 branches of each plant. Different letters indicate significantly different (P <0.05) means by repeated measures analysis of variance and Tukey HSD test (R Development Core Team 2012).

Fig. 4 in Effect of soil treatments for cottony cushion scale (Hemiptera: Monophlebidae) control on Nylanderia fulva (Hymenoptera: Formidicae) survival and trailing activity

Fig. 4. Mean numbers of Nylanderia fulva trails on the trunk of pittosporum plant. Different letters indicate significantly different (P <0.05) means by repeated measures analysis of variance and Tukey HSD test (R Core Team 2012).

Fig. 2 in Effect of soil treatments for cottony cushion scale (Hemiptera: Monophlebidae) control on Nylanderia fulva (Hymenoptera: Formidicae) survival and trailing activity

Fig. 2. Mean (n = 8) numbers of Nylanderia fulva counted from sausage samples placed near the base of the trunk of pittosporum plants. Different letters indicate significantly different (P <0.05) means by repeated measures analysis of variance and Tukey HSD test (R Core Team 2012).

opencc-zeroNov 2022View details →

dryad40/100

Input data to model multiple effects of large-scale deployment of grass in crop-rotations at European scale

This is the input dataset to a Python script (<a href="https://github.com/oskeng/MF-bio-grass">https://github.com/oskeng/MF-bio-grass</a>) used to model the effects of widespread deployment of grass in rotations with annual crops to provide biomass while remediating soil organic carbon (SOC) losses and other environmental impacts. For more information about the dataset and the study, see the original article: Englund, O., Mola-Yudego, B., Börjesson, P., Cederberg, C., Dimitriou, I., Scarlat, N., Berndes, G. Large-scale deployment of grass in crop rotations as a multifunctional climate mitigation strategy. GCB Bioenergy

dryad40/100

Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history

Parasitoids are small insects, (e.g., small wasps or flies) that reproduce by laying eggs on or within host arthropods. Parasitoids make up a large proportion of the world's biodiversity and are popular agents of biological control. Idiobiont parasitoids paralyze their hosts upon attack and thus are expected to only target hosts large enough to support offspring development. Host resources generally impact host attributes and life histories including size, development, and life span. Some argue slow host development in response to resource quality increases parasitoid efficacy (i.e., a parasitoid's ability to successfully reproduce on or within a host) due to longer host exposure to parasitoids. However, this hypothesis is not always supported and does not consider variation in other host traits in response to resources that may be important for parasitoids (e.g., variation in host size is known to impact parasitoid efficacy). In this study, we test whether trait variation within host developmental stages in response to host resources is more important for parasitoid efficacy and life histories than trait variation across host developmental stages. We exposed seed beetle hosts raised on a food quality gradient to mated female parasitoids and measured the number of hosts parasitized and parasitoid life history traits at the scale of host stage- and age-structure. Our results suggest host food quality does not cascade to impact idiobiont parasitoid life histories despite large food quality effects on host life history. Instead, variation in host life histories across host developmental stages better predicts parasitoid efficacy and life histories, suggesting finding a host in a specific instar is more important for idiobiont parasitoids than finding hosts on or within higher quality resources.

opencc-zeroMar 2023View details →

opencc-by-4.0Sep 2023View details →

Potassium fertilization effects on cereal yield and soil organic carbon in agricultural ecosystems at the global scale

This dataset includes the raw data of a global meta-analysis study on the responses of cereal yield and soil organic carbon to potassium fertilization in agricultural ecosystems.

opencc-by-4.0Aug 2023View details →

Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions

This dataset was used to run the analyses for Logghe et al. (2024). Unravelling arthropod movement in natural landscapes: small-scale effects of body size and weather conditions. Journal of Animal Ecology, 93(9), 1365-1379. <a href="https://doi.org/10.1111/1365-2656.14161">https://doi.org/10.1111/1365-2656.14161</a> "Arthropod_movement.csv" contains the results of experimental fieldwork, where movement speed and direction were recorded for individuals belonging to multiple arthropod species. Each row contains data on taxonomy, weather conditions, movement speed and movement direction of an individual measurement. Metadata is provided for the different columns. "Summary_observations.csv" gives an overview of the amount of individuals that were tested for each species. This dataset separates flying and cursorial movement, since several species were able to switch between these two modes. Abstract Background: Movement is a crucial life history component and holds direct significance to population dynamics, thereby influencing population viability. For arthropods in general, larger species achieve greater dispersal distances and large scale movements are influenced by weather conditions. However, many aspects of arthropod movement behaviour remain relatively unexplored, especially on small spatial scales. Studies on this topic are scarce and often limited to a few specific species or laboratory conditions. Consequently, it remains uncertain whether the effects of body size and weather conditions can be generalized across a wide range of arthropod species in natural environments. Methods: To help address this knowledge gap, we conducted a field study in two nature reserves in Belgium, focusing on both flying and cursorial arthropods. Over 200 different arthropod species were captured and released within a circular setup, allowing quantification of movement speed and direction. By analysing the relationship between these movement variables and morphological (body size) as well as environmental factors (temperature and wind), we aimed to gain insights into the mechanisms driving small-scale arthropod movement under natural conditions. Results: For flying species, movement speed is positively correlated with both body size and (tail)wind speed. In contrast, movement speed of cursorial individuals was solely positively related with temperature. Notably, movement direction was biased towards the vegetated areas where the arthropods were originally caught, suggesting an internal drive to move towards suitable habitat. This tendency was particularly strong in larger flying individuals, in smaller cursorial species and under tailwind conditions. Furthermore, both flying and cursorial taxa were hindered from moving towards the habitat by strong upwind. Conclusions: Body size can be used as a useful proxy for not only movement speed, but orientation capacity as well. This movement-size correlation is, at least at small temporal scales, conditional to the prevailing wind conditions.