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3,121 results for “Resources”
Data from: Rhizodeposition through root senescence and root exudation of atmospheric C and N by legumes is controlled by traits indicative of resource acquisition and root development
<p><span>Legume crop production has many benefits for agricultural systems. Through the rhizodeposition process, they release a significant amount of C and N into the soil, increasing soil organic C and reducing the use of N fertilizer. Rhizodeposition is known as a dynamic process influenced by many factors. </span></p> <p><span>The aim of this study was to study the contribution of root exudation and root senescence to the rhizodeposition of atmospheric C and N during vegetative and reproductive growth in annual and perennial legumes and to understand how this is linked to the fixation capacities of C and N and root functional traits.</span></p> <p><span>An original approach that combined <sup>13</sup>CO<sub>2</sub> labeling and the <sup>15</sup>N dilution method was developed to measure the rhizodeposition of atmospheric C and N throughout plant growth by two annual grain legumes (pea and faba bean) and two perennial forage legumes (white and crimson clovers).</span></p> <p><span>C rhizodeposition was found to increase proportionally with N rhizodeposition during reproductive development and the differences observed between species were related to the C and N fixation abilities. The use of root traits such as specific root length, root tissue density, and root dry matter content suggests a strong contribution of root exudation to C rhizodeposition at vegetative growth and a strong contribution of root senescence to both C and N rhizodeposition during reproductive growth.</span></p> <p><span><em><strong>Synthesis:</strong></em> Both C and N rhizodeposition appeared to be controlled by traits indicative of resource acquisition and root development. </span></p>
Data from: Supplementation of seasonal natural resources with year-round anthropogenic resources by coyotes in natural fragments within a high-density urban area
<p>Coyotes (<em>Canis latrans</em>) in urban landscapes provide important food web functions and ecological services but can also trigger human-wildlife conflict when their diet includes anthropogenic resources or domestic pets. As adaptable omnivores, coyotes adjust their diet to their environment, routinely switching among food items to accommodate spatial and seasonal differences in availability. To evaluate coyotes' potential impacts within the food web of urban Long Beach, California where human-wildlife conflict involving coyotes may occur, we analyzed 115 scat samples collected once every two weeks from two open space fragments inside the urban matrix. We hypothesized that differences in scat composition would correlate with seasonal and site differences, with greater use of anthropogenic resources during the dry season supplementing lower prey availability, and greater consumption of wild mammal prey during the wet season when rabbits and small mammals reproduce. We found coyote diet was predominately composed of natural prey and vegetation year-round. Mammals made up more of the coyote diet in the wet season than the dry, while arthropods and vegetation occurred more in dry season scats. Coyotes relied on rabbits as their main prey year-round across all sites. Domestic cats (<em>Felis catus</em>) were the third most common individual prey species found in coyote scats; we did not find evidence of domestic dog (<em>Canis lupus familiaris</em>) consumption. The overall frequency of mammalian remains did not differ across sites but did differ across sites for other prey types. While there is a potential for human-wildlife conflict in coyote's consumption of feral or domestic cats, coyotes may also be providing an ecological service by reducing cats in natural habitat fragments.</p>
A Construction Classification System Database for Understanding Resource Use in Building Construction
<p>Welcome to the Construction Classification System Database for Understanding Resource Use in Buildings.</p> <p>This database provides a novel dataset and a building material data structure to facilitate study of resource use in building design and construction. The ontology developed for this database uses UniFormat (CSI and CSC, 2010) in conjunction with MasterFormat (CSI and CSC, 2016) for organizing and storing the building material data.</p> <p>The dataset was developed by collecting design or construction drawings for the studied buildings and performing material take-offs based on the drawings. The ontology is based on Uniformat and MasterFormat to facilitate interoperability with existing construction management practices, and to suggest a standardized structure for future MI studies. The structure of the database and these guidelines builds on the structure presented by (Heeren & Fishman, 2019).</p> <p>The initial database version is created by the research team supervised by Prof. Shoshanna Saxe at the University of Toronto and published in the journal Scientific Data (Guven et al. 2022) in February 2022 to describe the dataset and the associated methods and details.</p> <p>Thank you for considering contributing to the database. Data contributors must follow the steps detailed below and must ensure that their inputs do not infringe any intellectual property or copyright agreements.</p> <p>References</p> <p>i. CSI and CSC. (2010). UniFormat - A Uniform Classification of Construction Systems and Assemblies. Constructions Specification Institute (CIS) and Construction Specifications Canada (CSC).</p> <p><br> ii. CSI and CSC. (2016). MasterFormat Numbers & Titles (pp. 1–186). pp. 1–186. Constructions Specification Institute (CIS) and Construction Specifications Canada (CSC).</p> <p><br> iii. Guven, G., Arceo, A., Bennett, A., Tham, M., Olanrewaju, B., McGrail, M., Isin, K., Olson, A. W., and Saxe, S. (2022). “A construction classification system database for understanding resource use in building construction.” Scientific Data, Springer US, 9(1), 42.</p> <p><br> iv. Heeren, N., & Fishman, T. (2019). A database seed for a community-driven material intensity research platform. Scientific Data, 1–10. https://doi.org/10.1038/s41597-019-0021-x</p>
Resources for "Disaggregating the carbon exchange of degrading permafrost peatlands using Bayesian deep learning"
<p>This dataset contains all predictors, fluxes, and footprint weights used and described in our manuscript.</p>
Model output for "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)"
<p>This dataset contains the numerical model output files that were used in the analysis presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)", submitted to Geoscientific Model Development.</p>
Dataset of bioassays about resource selection in N. corniger
<p>Dataset of bioassays conducted with <em>Nasutitermes corniger</em> to test the effect of food resource and alarm signal on resource selesction. </p>
A Great Escape: resource availability and density-dependence shape population dynamics along trailing range edges
<p>Populations along geographical range limits are often exposed to unsuitable climate and low resource availability relative to core populations. As such, there has been a renewed focus on understanding the factors that determine range limits to better predict how species will respond to global change. Using recent theory on range limits and classical understanding of density dependence, we evaluated the influence of resource availability on the snowshoe hare Lepus americanus along its trailing range edge. We estimated variation in population density, habitat use, survival, and parasite loads to test the Great Escape Hypothesis (GEH), i.e. that density dependence determines, in part, a species' persistence along trailing edges. We found that variability in resource availability affected density and population fluctuations and led to trade-offs in survival for snowshoe hare populations in the northeastern USA. Hares living in resource-limited environments had lower and less variable population density, yet higher survival and lower parasitism compared to populations living in resource-rich environments. We suggest that density-dependent dynamics, elicited by resource availability, provide hares a unique survival advantage and partly explain persistence along their trailing edge. We hypothesize that this low-density escape from predation and parasitism occurs for other prey species along trailing edges, but the extent to which it occurs is likely conditional on the quality of matrix habitat. Our work indicates that biotic factors play an important role in shaping species' trailing edges and more detailed examination of non-climatic factors is warranted to better inform conservation and management decisions.</p>
Data set for Dynamic Service Restoration of Distribution Networks with Volt-Var Devices, Distributed Energy Resources, and Energy Storage Systems
<p>Two power distribution systems are presented. The first system consists of 53 nodes and 61 branches, while the second system consists of 404 buses and 430 branches. Both distribution systems offer extensive applications in problems related to multi-time service restoration, Volt/Var devices, and distributed energy resource operation.</p>
BIG DATA ANALYTICS IN DIGITAL HUMAN RESOURCES MANAGEMENT: IMPACT ON THE RECRUITMENT PROCESS
<p>This study investigates how HR employees experience the big data phenomenon in the recruitment function of HRM and how their perceptions of the phenomenon have evolved. This study also examines how BD will affect organizational and HRM and how it can be improved in other functions of HR. In this exploratory study, which comprehensively addresses the BD phenomenon in HRM, the phenomenological design approach, one of the qualitative research methods, was applied to test the research questions and a semi-structured interview form was used for research data. Using the snowball sampling method, in-depth interviews were conducted with 10 HR employees working in large and semi-structured organizations in Turkey and the interviews were analyzed with MAXQDA 20. The findings show that HRM employees are aware of BD. On the other hand, it is understood that BD technologies provide easy accessibility in recruitment, offer a strategic competitive advantage, and enable more effective management of information management, which saves HR employees' work in a facilitating way. They benefit from technology as a decision support assistant. Finally, the research results provide theoretical and practical implications for future researchers and practitioners for the development and effective use of BD technology in the field of HRM.</p>
Image bank to use with the Resource Flow Mapping tool when implementing the Clean and Green framework
<p>This image bank consists of a set of 116 images that can be used together with the Resource Flow mapping tool and other sensitization tools when implementing the Clean and Green framework as part of rural sanitation programs. The image bank consists of a wide range of images including everything from images depicting the use of various types of ecological sanitation toilets to the use of excreta-derived products in agriculture. All the images have a white background, and hence can be used in a variety of media and contexts. Each image has a descriptive file name. The images can be downloaded individually, or collectively by downloading the "Images.zip" file. The image bank was developed as part of the Clean and Green framework project at the Stockholm Environment Institute, in collaboration with WaterAid Burkina Faso. Learn more: https://www.sei.org/projects-and-tools/projects/clean-and-green/ </p> <p> </p>
Techno-economic evaluation and resource assessment of hydrogen production through offshore wind farms: A European perspective - Supplementary material
<p>This is the additional material provided with the journal article "Techno-economic evaluation and resource assessment of hydrogen production through offshore wind farms: A European perspective" published in Renewable and Sustainable Energy Reviews (<a href="https://doi.org/10.1016/j.rser.2023.113699">https://doi.org/10.1016/j.rser.2023.113699</a>).</p> <p>Datasets are provided as NetCDF files for European maps and CSVfor Economically Attractive Resource curves.</p> <p>European and National plots are provided as PDF files.</p>
Data from: Parasites, depredators, and limited resources as potential drivers of winter mortality of feral honeybee colonies in German forests
<p>Wild honeybees (<em>Apis mellifera</em>) are considered extinct in most parts of Europe. The likely causes of their decline include increased parasite burden, lack of high-quality nesting sites and associated depredation pressure, and food scarcity. In Germany, feral honeybees still colonize managed forests, but their survival rate is too low to maintain viable populations. Based on colony observations collected during a monitoring study, data on parasite prevalence, experiments on nest depredation, and analyses of land cover maps, we explored whether parasite pressure, depredation or expected landscape-level food availability explain feral colony winter mortality. Considering the colony-level occurrence of 18 microparasites in the previous summer, colonies that died did not have a higher parasite burden than colonies that survived. Camera traps installed at cavity trees revealed that four woodpecker species, great tits, and pine martens act as nest depredators. In a depredator exclusion experiment, the winter survival rate of colonies in cavities with protected entrances was 50% higher than that of colonies with unmanipulated entrances. Landscapes surrounding surviving colonies contained on average 6.4 percentage points more cropland than landscapes surrounding dying colonies, with cropland being known to disproportionately provide forage for bees in our study system. We conclude that the lack of spacious but well-protected nesting cavities and the shortage of food are currently more important than parasites in limiting populations of wild-living honeybees in German forests. Increasing the density and diversity of large tree cavities and promoting bee forage plants in forests will probably promote wild-living honeybees despite parasite pressure.</p>
Data from: Nitrogen reduction causes shifts in winter and spring phytoplankton composition and resource use efficiency in a large subtropical lake in China
<p>Aquatic ecosystems occasionally show ecological thresholds, defined as the point at which there is a sudden shift in production, trait or biomass or where changes in an environmental driver create nonlinear responses at the ecosystem level. Previous studies of lakes have mainly focused on how reduction in particularly phosphorus (P) concentrations helps to create a shift in lakes from a turbid to a clear state (re-oligotrophication), whereas the effect of nitrogen (N) reduction is less well studied. Here, by analysing a 28-year monthly monitoring dataset (from December 1991 to November 2019) from the subtropical, large eutrophic Lake Taihu, China, we identified a sudden shift in phytoplankton biomass and composition that coincided with a pronounced change in ecosystem functions, for example, resource use efficiency (RUE), during a period with reduction of the external nutrient loading. The changes were particularly strong in winter–spring where a sudden decrease in N concentrations was accompanied by a sudden increase in diatom biomass and phytoplankton RUE and a shift from green algae and flagellate co-dominance to dominance of diatoms. Structural equation modelling further indicated that ammonium reduction led directly to increases in winter–spring phytoplankton RUE and diatom biomass. Repeated fish stocking likely also contributed to the changes in biomass and RUE. Our study provides new insight into the ecological responses to N loading reduction and contributes to the understanding of lake responses to early re-oligotrophication, which was pronounced mainly in the colder seasons in subtropical Lake Taihu, similar to findings in the early phase of re-oligotrophication in numerous temperate lakes.</p>
Intelligent approach for the rational use of a shared resource using blockchain.
<p>This dataset was created in the <em>Intelligent approach for the rational use of a shared resource using blockchain</em> dissertation of Federal University of Technology - Paraná (UTFPR), campus Curitiba, by Evandro Sestrem supervised by Prof. Marco Aurélio Wehrmeister and cosupervised by Prof. Alécio Binotto.</p>
A novel preclinical secondary pharmacology resource illuminates target-adverse drug reaction associations of marketed drugs - Supplementary Material
<p>All Supplementary materials and source data for the manuscript.</p> <p>The reported analyses and results can be reproduced via the described IPython notebooks which can be found under www.github.com/Novartis/SPD</p>
Data from: Fission-fusion dynamics in sheep: The influence of resource distribution and temporal activity patterns
<p><span>Fission-fusion events, i.e. changes to the size and composition of animal social groups, are a mechanism to adjust the social environment in response to short-term changes in the cost-benefit ratio of group living. Furthermore, the time and location of fission-fusion events provide insight into the underlying drivers of these dynamics. Here, we describe a method for identifying group membership over time and for extracting fission-fusion events from animal tracking data. We applied this method to high-resolution GPS data of free-ranging sheep (<em>Ovis aries</em>). Group size was highest during times when sheep typically rest (mid-day and at night), and when anti-predator benefits of grouping are high while costs of competition are low. Consistent with this, fission and fusion frequencies were highest during early morning and late evening, suggesting that social restructuring occurs during periods of high activity. However, fission and fusion events were not more frequent near food patches and water resources when adjusted for overall space use. This suggests a limited role of resource competition. Our results elucidate the dynamics of grouping in response to social and ecological drivers, and we provide a tool for investigating these dynamics in other species.</span></p>
Data from: Virus community structuring is shaped by habitat heterogeneity and resource utilisation strategies
<p><span>After decades of disconcerted research, we still recognise large gaps in the understanding of mechanisms that govern disease dynamics in complex biological communities. To determine how spatial structuring of plant communities caused by anthropic disturbance affects resource utilisation traits of viruses, we combine high-throughput, network, and metacommunity approaches. We find that the disturbance gradient corresponded to network modules and habitat specificity exhibited by a majority of viruses. Communities were connected through key hub species of either generalist viruses or high potential host reservoirs. Spatial dependencies were evident in regression models of species richness and correlations between metacommunity structure and both host range and transmission mode at finer spatial resolutions. We propose that virus community assembly is influenced by variation in niche opportunities. Distinctions in virus community composition caused by resource compartmentalisation can be used to track ecological traits important in forecasting transmission risk.</span></p>
Data from: Soil microbes mediate the effects of resource variability on plant invasion
<p>A fundamental question in ecology is which species will prevail over others amid changes in both environmental mean conditions and their variability. Although the widely accepted fluctuating resource hypothesis predicts that increases in mean resource availability and variability therein will promote non-native plant invasion, it remains unclear to what extent these effects might be mediated by soil microbes. We grew eight invasive non-native plant species as target plants in pot-mesocosms planted with five different synthetic native communities as competitors and assigned them to eight combinations of two nutrient-fluctuation (constant vs pulsed), two nutrient-availability (low vs high) and two soil-microbe (living vs sterilized) treatments. We found that when plants grew in sterilized soil, nutrient fluctuation promoted the dominance of non-native plants under overall low nutrient availability, whereas the nutrient fluctuation had minimal effect under high nutrient availability. In contrast, when plants grew in living soil, nutrient fluctuation promoted the dominance of non-native plants under high nutrient availability rather than under low nutrient availability. Analysis of the soil microbial community suggests that this might reflect that nutrient fluctuation strongly increased the relative abundance of the most dominant pathogenic fungal family or genus under high nutrient availability, while decreasing it under low nutrient availability. Our findings are the first to indicate that besides its direct effect, environmental variability could also indirectly affect plant invasion via changes in soil microbial communities.</p>
Data for: Annotation resource for seven Botrytis cinerea isolates from greenhouses in Michigan
<p>Fungal plant pathogen <em>Botrytis cinerea</em> affects a variety of important agricultural systems, including greenhouse production. Seven isolates of B. cinerea were whole-genome sequenced to provide an additional resource providing insight regarding host specificity, fungicide resistance, and geographic relatedness in pathogen populations. Fasta files of each genome assembly, raw reads (fastq), and more information can be found under NCBI BioProject PRJNA984325. Annotation data is included here.</p>
Developing Kalanchoë blossfeldiana as a resource for comparatively studying C3 and crassulacean acid metabolism
<p>Reviewer Link</p> <p> </p> <p> </p> <p> </p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.