Find research datasets worth reusing

openCC (other)Mar 2023View details →

Global dataset of plant diversity and the spatial variability of grassland biomass from NutNet

While there is strong evidence of diversity effects on temporal variability of productivity, whether this mechanism extends to variability across space remains elusive. Here, we present data from Nutrien Network (www.nutnet.org) that were used to determine the relationship between diferent scales of plant diversity and spatial variability of productivity in 83 grasslands worldwide, and to quantify the effect of experimentally increased spatial heterogeneity in environmental conditions on this relationship. There are two data sets, one for the pre-treatment (observational_data.csv) data, and other for the experimentally increased heterogeneity (increased heterogeneity.csv). In these data sets, study sites contained at least three replicates that originated from blocks each composed of ten 5 m × 5 m plots. In addition, pre-treatment data has a subset of sites in where soil conditions where measured (observational_data_soil.csv) and a version in which data for each site are sumarized and site-level climatic variables obtained from WorldClim (www.worldclim.org) are added. (observational_data_site_climate.csv). If you need any clarification or further information, please contact us.

openCustomFeb 2019View details →

Baseline Spatial Variability Study at the Kellogg Biological Station, Hickory Corners, MI (1988)

Dataset Abstract A spatial variability study conducted across the LTER Main Site area (45 ha) at KBS prior to dividing the site into 1-ha experimental plots. During the 1988 growing season a stratified unaligned sampling scheme was used to collect 400-600 geo-referenced samples across the site (uniformly planted to a single variety of soybeans) for: geomorphological characteristics (microtopography, soil horizon depths, bulk density, texture); soil chemical characteristics (pH, NO3, NH4, total C, total N, moisture, inorganic P, trace metals); soil biological characteristics (N mineralization potentials, microbial biomass C, microbial biomass N, fungal/bacterial ratios, nematodes and other soil invertebrates; seed bank size); plant weed species abundance, weed biomass at peak standing crop); and insect characteristics (major pest and predator species). Most soil samples were taken before crop emergence, plant phenology samples were taken throughout the growing season, biomass samples were taken at physiological maturity, and insect samples were taken continuously. Dried soil and plant samples are archived for potential future analysis. original data source http://lter.kbs.msu.edu/datasets/6

openOpenJan 2020View details →

SGS-LTER Spatial variability in seed production of the perennial bunchgrass Bouteloua gracilis on the Central Plains Experimental Range, Nunn, Colorado, USA 1992-2005, ARS Study Number 20

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Production of seeds of Bouteloua gracilis was evaluated for a semiarid grassland in northeastern Colorado. Ten locations were chosed to represent the range in soil textures and grazing intensities found at the Central Plains Experiemental Range research site. Number of flowering culms, inforescences and seeds, length of each flowering clum, total biomass or reproductive structures (culms, inforescences and seeds), and basal areas were assessed for each plant sampled. Community-level estimates of density of flowering culms and density of viable seeds are made for each location. Both soil texture and grazing intensity by cattle are important to spatial variability in seed production and other indicators of reproductive effort by B. gracilis. Additional information and referenced materials can be found: http://hdl.handle.net/10217/82281

openOpenJan 2020View details →

SGS-LTER CPER Hillslope Soil Spatial Variability on the Central Plains Experimental Range, Nunn, Colorado, USA 1983-1984

This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83515. CPER Hillslope Soil Spatial Variability - Pedons were characterized along three parallel transects, spaced at approximate 40 m intervals perpendicular to a hillslope at the CPER. Pedons were described at 7 landscape positions along each transect: summit, shoulder, upper backslope, middle backslope, lower backslope, footslope, and toeslope. Pedons were described by genetic horizon according to the standards of the National Cooperative Soil Survey. Analyses included: particle size; organic C; total N; organic and total P. Bulk Density was estimated using particle size and organic C data, according to: Rawls, W.J. 1983. Estimating soil bulk density from particle size analysis and organic matter content. Soil Sci. 135: 123-125.

opencc-by-4.0May 2020View details →

Spatial variability of the snowmelt-albedo feedback in Antarctica

This dataset accompanies the manuscript "Spatial variability of the snowmelt-albedo feedback in Antarctica" by C.L. Jakobs et al., submitted to JGR: Earth Surface. File naming convention: Modelversion_domain_parameter_timeresolution_beginyear_endyear_experiment.nc where "experiment" is optional.   Parameter names (note that precipitation and snowmelt are provided in units per second): <ul> <li>LWin: downward longwave radiation [W/m2]</li> <li>LWout: upward longwave radiation [W/m2]</li> <li>precip: precipitation (liquid and solid) [kg/m2/s]</li> <li>QG: ground heat flux [W/m2]</li> <li>QL: latent heat flux [W/m2]</li> <li>QS: sensible heat flux [W/m2]</li> <li>snowmelt: surface melt rate [kg/m2/s]</li> <li>SWin: incoming shortwave radiation [W/m2]</li> <li>SWout: reflected shortwave radiation [W/m2]</li> <li>T2m: 2-meter temperature [K]</li> </ul>   Note! This dataset might not represent the latest version of these data. Please contact the Institute for Marine and Atmospheric Research Utrecht (imau@science.uu.nl) for information about the latest available version of these data.

opencc-by-4.0Apr 2015View details →

Figure 1 in Patterns of spatial variability of mobile macro-invertebrate assemblages within a Posidonia oceanica meadow

Figure 1. Map of Pianosa Island. Stars indicate the study areas.

opencc-by-4.0Oct 2023View details →

Lagain et al., (2023) - Icarus - Recalibration of the lunar chronology due to spatial cratering-rate variability - Data and Code

<ul> <li>CR_moon.csv: Relative cratering rate shown in Fig.3. The data are provided over the full range of latitudes and longitudes, with a 1-degree bin.</li> <li>SI_convert_age.m: Matlab code converting model ages of Plutarch and Kirkwood craters from Neukum et al. (2001) chronology into the one presented in this study. </li> </ul>

opencc-zeroMar 2024View details →

Data from: Drivers of intra-individual spatial variability in methane emissions from tree trunks in upland forest

CH4 emissions from tree trunks in upland forests should be scaled accurately in order to assess the role of tree trunks in the forest CH4 budget. As the chambers used to measure emissions cover only a small part of the tree trunks, it is necessary to understand the intra-individual spatial variability in trunk CH4 emissions. We measured trunk CH4 flux at nine locations per individual on four trees in a cool-temperate upland forest. To appreciate the origin of this variability and the underlying processes, we also measured the potential rate of CH4 production and CH4 concentration at sapwood and characterized wood and bark. Up to 15-fold spatial variation in CH4 fluxes were observed at the individual level. This variability can be highlighted by the variation in the sapwood CH4 concentration which was further explained by the variation in CH4 production rate. The radial CH4 diffusivity calculated from concentration gradients and emissions was not related to the measured characteristics of either wood or bark, raising the question of the diffusion pathway. We emphasized the importance of sampling trunk CH4 flux at multiple locations on the surface of a tree trunk to capture spatial variability, a prerequisite for estimating tree-level CH4 emissions.

opencc-zeroMar 2024View details →

A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean

The importance of scale when investigating ecological patterns and processes is recognised across many species. In marine ecosystems, the processes that drive species distribution have a hierarchical structure over multiple nested spatial and temporal scales. Hence, multi-scale approaches should be considered when developing accurate distribution models to identify key habitats, particularly for populations of conservation concern. Here, we propose a modelling procedure to identify the best spatial and temporal scale for each modelled and remotely sensed oceanographic variable to model harbour porpoise (Phocoena phocoena) distribution. Harbour porpoise sightings were recorded during dedicated line-transect aerial surveys conducted in the summer of 2016, 2021 and 2022 in the Northeast Atlantic. Binary generalised additive models were used to assess the relationships between porpoise presence and oceanographic variables at different spatial (5, 20 and 40 km) and temporal (daily, monthly and across survey period) scales. Selected variables included sea surface temperature, thermal fronts, chlorophyll-a, sea surface height, mixed layer depth and salinity. A total of 30,514 km was covered on-effort with 216 harbour porpoise sightings recorded. Overall, the best spatial scale corresponded to the coarsest resolution considered in this study (40 km), while porpoise presence showed stronger association with oceanographic variables summarised at a longer temporal scale (monthly and averaged over survey period). Habitat models including covariates at coarse spatial and temporal scales may better reflect the processes driving availability and abundance of prey resources at the large scales covered during the surveys. These findings support the hypothesis that a multi-scale approach should be applied when investigating species distribution. Identifying suitable spatial and temporal scale would improve the functional interpretation of the underlying relationships, particularly when studying how a small marine predator interacts with its environment and responds to climate and ecosystem changes.

opencc-by-4.0Nov 2024View details →

Temporal and spatial variation of zooplankton in relation to environmental variables in the upper Santos estuary, São Paulo, Brazil

Zooplankton samples were collected through oblique trawls with a 200 µm net with a flow meter during low tide, at 4 sampling sites with different degrees of salinity in the upper Santos estuary, in 28 campaigns carried out between 2014 and 2023, to analyze the spatial and temporal variations in the structure and abundance of zooplankton in relation to environmental variables using data from a long-term monitoring, in this way, contributing to the update of knowledge about the zooplankton community of the Santos estuary.

opencc-zeroMar 2022View details →

Biotic filtering by species' interactions constrains food-web variability across spatial and abiotic gradients

Despite intensive research on species dissimilarity patterns across communities (i.e. beta-diversity), we still know little about their implications for variation in food-web structures. Our analyses of 50 lake and 48 forest soil communities show that, while species dissimilarity depends on environmental and spatial gradients, these effects are only weakly propagated to the networks. Moreover, our results show that species and food-web dissimilarities are consistently correlated, but that much of the variation in food-web structure across spatial, environmental, and species gradients remains unexplained. Novel food-web assembly models demonstrate the importance of biotic filtering during community assembly by (1) the availability of resources, and (2) limiting similarity in species' interactions to avoid strong niche overlap and thus competitive exclusion. This reveals a strong signature of biotic filtering processes during local community assembly, which constrains the variability in structural food-web patterns across local communities despite substantial turnover in species composition.

opencc-by-4.0Mar 2022View details →

Supplementary data for 'Ferrofluid impregnation efficiency and its spatial variability in natural and synthetic porous media: Implications for magnetic pore fabric studies'

Supplementary data for the manuscript 'Ferrofluid impregnation efficiency and its spatial variability in natural and synthetic porous media: Implications for magnetic pore fabric studies'

opencc-zeroMay 2022View details →

Dispersal increases spatial synchrony of populations but has weak effects on population variability: a meta-analysis

The effects of dispersal on spatial synchrony and population variability have been well documented in theoretical research, and a growing number of empirical tests have been performed. Yet a synthesis is still lacking. Here, we conducted a meta-analysis of relevant experiments and examined how dispersal affected spatial synchrony and temporal population variability across scales. Our analyses showed that dispersal generally promoted spatial synchrony, and such effects increased with dispersal rate and decreased with environmental correlation among patches. The synchronizing effect of dispersal, however, was only detected when spatial synchrony was measured using the correlation-based index, but not for the covariance-based index. In contrast to theoretical predictions, the effect of dispersal on local population variability was generally non-significant, except when environment correlation among patch was negative and/or experimental period was long. At the regional scale, while low dispersal stabilized metapopulation dynamics, high dispersal led to destabilization. Overall, the sign and strength of dispersal effects on spatial synchrony and population variability were modulated by taxa, environmental heterogeneity, type of perturbations, patch number, and experimental length. Our synthesis demonstrates that dispersal can substantially affect the dynamics of spatially distributed populations, but its effects are context dependent on abiotic and biotic factors.

opencc-by-4.0May 2024View details →

Control of groundwater-lake interaction zone structure on spatial variability of lacustrine groundwater discharge

This is the paper "Control of groundwater-lake interaction zone structure on spatial variability of lacustrine groundwater. Data set of discharge ". The data includes various isotopes, water temperature and conductivity data for lake and groundwater, wind speed and air temperature data during the study period, and water depth measurements.

opencc-zeroMay 2024View details →

Light quality and spatial variability influences on seedling regeneration in Hawaiian lowland wet forests

Tropical forest understories tend to be light-limited. The red-to-far-red ratio (R:FR) is a useful and reliable index of light quality and its spatial variability can influence competition between native and non-native seedlings. While percent light transmittance has been quantified in some Hawaiian lowland wet forests (HLWF), no information exists on how the spatial distribution of understory light varies in relation to species invasion, or if patterns of seedling regeneration and light are linked. We measured the R:FR of light in the understory to assess light quality in three HLWF forest types: native-dominated, partially-invaded, and Psidium cattleyanum- (strawberry guava) dominated to quantify light quality in the understory (0-50 cm height). We also identified relationships between light quality and native and non-native seedling presence, diversity, and abundance. Together, these data can help to determine the restoration potential of HLWF. Linear mixed-effect modeling showed that native-dominated forests had significantly greater R:FR than P. cattleyanum-dominated forests, demonstrating a transformation in the light environment with increased invasion. Heterogeneity in R:FR varied more across sites than among forest types. In both native-dominated and partially-invaded forests, there were more native seedlings in the low-quality R:FR (0.0 – 0.40) category and fewer in the medium- (0.41 – 0.70), and high- quality (≥ 0.71) light categories than would be expected by chance, and there were no native seedlings in the P. cattleyanum-dominated forests. Native-dominated forests had greater species richness and abundance of native seedlings than the partially-invaded forests, likely due to propagule availability. However, the spatial clustering of seedlings, the mismatch of native seedlings in light environments less suitable, and a considerable proportion of open high-quality microsites, highlights that conditions are not optimal for native species in HLWF in the long-term. Synthesis and applications The native-dominated and partially-invaded forests still hold conservation value, despite variation among sites. Seedling additions could be targeted to different R:FR environments and at different spatial scales, but the lack of a strong relationship between R:FR and seedling number suggests that other factors besides light quality should be considered in seedling enrichment or other management activities.

opencc-by-4.0Jan 2024View details →

Spatial and temporal variability of freezing level in Patagonia's atmosphere

Deprecated version. Please review the latest version: <a href="../doi/10.5281/zenodo.11397841">10.5281/zenodo.11397841 </a>