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3,121 results for “Resources”
Figure 4 in The first genomic resource for the 'near threatened' Neotropical otter Lontra longicaudis (Carnivora: Mustelidae): mitochondrial genome characterisation and insights into phylomitogenomic relationships in the family Mustelidae
Figure 4. tRNAs in the mitochondrial genome of Lontra longicaudis usually display 'cloverleaf̍ secondary structures; however, in Serine 1 (tRNA-Ser(AGY) or trnS1), the DHU loop (3–4bp) was absent. The truncation of this tRNA is a conserved trait in metazoans.
FIG. 3 in Immediate skin-to-skin contact for low birth weight infants is safe in terms of cardiorespiratory stability in limited-resource settings.
FIG. 3. Map of home ranges using 95% kernel density estimates (KDE-href) for radio-tracked turtles at the study site in the Ten Thousand Islands National Wildlife Refuge and Rookery Bay National Estuarine Research Reserve, Florida, USA.
FIG. 1. Study site for the 2016–2017 in Immediate skin-to-skin contact for low birth weight infants is safe in terms of cardiorespiratory stability in limited-resource settings.
FIG. 1. Study site for the 2016–2017 Terrapene bauri home range assessment located in southwestern Florida within the Ten Thousand Island National Wildlife Refuge (TTINWR) and Rookery Bay National Estuarine Research Reserve (RBNERR), Collier County, Florida, USA. TTINWR boundaries are delineated in green and RBNERR are delineated in blue.
FIG. 2 in Immediate skin-to-skin contact for low birth weight infants is safe in terms of cardiorespiratory stability in limited-resource settings.
FIG. 2. Map of home ranges using 100% minimum convex polygons (MCP) for radio-tracked turtles at the study site in the Ten Thousand Islands National Wildlife Refuge and Rookery Bay National Estuarine Research Reserve, Florida, USA.
Open Science resources by research discipline
<p>This is the underlying data set to our map of Open Science resources by discipline: <a href="https://kumu.io/access2perspectives/open-science#disciplines">https://kumu.io/access2perspectives/open-science#disciplines</a></p> <p>For context and related resources please refer to <a href="https://access2perspectives.pubpub.org/open-science">https://access2perspectives.pubpub.org/open-science</a></p> <p>Explore the map by clicking on individual nodes and see descriptions, related websites, and other information about the resources.<br> With the navigation buttons to the right, you can zoom in and out, and select and focus on specific elements.</p> <p>Learn more about our work at <a href="http://access2perspectives.org">access2perspectives.org</a><br> If you have comments, questions or suggestions for improvements on this map email us at info@access2perspectives.org.</p> <p>LICENSE: <strong>Creative Commons <a href="https://creativecommons.org/licenses/by-sa/4.0/">Attribution-ShareAlike 4.0 International</a></strong></p>
Resources and datasets for automated high-throughput droplet screening by iSort
<p>Contains the design files and source data linked to the following publication in Cell Reports Methods (2023, https://doi.org/10.1016/j.crmeth.2023.100478)</p> <p><strong><em>iSort </em></strong><strong>enables automated complex microfluidic droplet sorting in an effort to democratize technology.</strong></p> <p><strong>Abstract: </strong><br> Fluorescence activated droplet sorting (FADS) is a widely used microfluidic technique for high throughput screening. However, it requires highly trained specialists to determine optimal sorting parameters, resulting in a large combinatorial space that is challenging to optimize systematically. Additionally, there is currently no way to track every single droplet within a screen, leading to compromised sorting and “hidden” false positive events. To overcome all these limitations, we have developed a setup in which the droplet frequency, spacing and trajectory at the sorting junction are monitored in real time using impedance analysis. The resulting data is used to continuously optimize all parameters automatically and to counteract perturbations, resulting in higher throughput, higher reproducibility, increased robustness and a beginner-friendly character. We believe this provides a missing piece for the spreading of phenotypic single-cell analysis methods, similar to what we have seen for single-cell genomics platforms.</p> <p><strong>To cite:</strong> https://doi.org/10.1016/j.crmeth.2023.100478</p>
Dataset for Energy Resource Management Considering Participation in the Wholesale Day-Ahead Market
<p>This release is associated with a paper entitled "A Novel Framework for the Day-Ahead Market Clearing Process Featuring the Participation of Distribution System Operators and a Hybrid Pricing Mechanism".</p> <p>In this document, we provide the mathematical manipulation employed to linearize an MPEC problem that models the market-clearing process considering the participation of generation companies and distribution operators in the day-ahead market. Additionally, we provide a numerical example of the pricing mechanism designed for solving the optimization problem. </p> <p>Finally, we include information regarding the transmission and distribution power systems adopted to present the results shown in the paper. These systems are modified versions of the IEEE <a href="https://icseg.iti.illinois.edu/ieee-14-bus-system/">14-bus</a> and the IEEE <a href="https://cmte.ieee.org/pes-testfeeders/resources/">34-bus</a>, respectively. Three renewable non-dispatchable generators were added to the original 14-bus system, while 5 dispatchable generators and 3 non-dispatchable generators were added to the distribution system. 13 load shapes were considered as well as 5 scenarios for each uncertain variable (wind velocity, solar irradiance, distribution load oscillation, and transmission load oscillation). The data regarding the costs and physical parameters of each of the power system's elements are provided in this document.</p>
Model input 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 input files that were used to produce the model simulation presented in "A high-resolution physical-biogeochemical model for marine resource applications in the Northwest Atlantic (MOM6-COBALT-NWA12)".</p> <p>When using these files to run a model, most files should be placed inside a directory named INPUT/ that resides in the working directory where the model is being run. The following files should be at the top level in the working directory: data_table, diag_table, field_table, input.nml.</p> <p>For large files, a subset in time is provided for the first year of the simulation. This dataset does not include the ERA5 atmospheric data, which can be downloaded directly from https://doi.org/10.24381/cds.adbb2d47.</p> <p>Portions of the initial and boundary condition data were generated using E.U. Copernicus Marine Service Information: \url{https://doi.org/10.48670/moi-00021}, \url{https://doi.org/10.48670/moi-00148}. Refer to the manuscript for references to other data sources.</p>
Wyniki zawarte w Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey
<p>This resource contains the results included in Energy-Efficient OFDM Radio Resource Allocation Optimization With Computational Awareness: A Survey</p>
Density-dependent changes in elk resource selection over successional time scales following forest disturbance
<p>There is an increasing need to understand how animals respond to modifications of their habitat following landscape-scale disturbances such as wildfire or timber harvest. Such disturbances can promote increased use by herbivores due to changes in plant community structure that improve forage conditions, but can also cause avoidance if other habitat functions provided by cover are substantially reduced or eliminated. Quantifying the total effects of these disturbances, however, is challenging because they may not fully be apparent unless observed at successional timescales. Further, the effects of disturbances that improve habitat quality may be density dependent such that the benefits are 1) less valuable to high-density populations because the per-capita benefits are reduced when shared among more users, or alternatively, 2) more valuable to animals living in high densities because resources may be more depleted from greater intraspecific competition. We used 30 years of telemetry data on elk occurring at two distinct population densities to quantify changes in space use at diel, monthly, and successional timescales following timber harvest. Elk selected for logged areas at night only, with selection strongest during mid-summer, and peak selection occurring 14 years post-harvest but persisting for 26–33 years. This pattern of increased selection at night following a reduction in overhead canopy cover is consistent with elk exploiting improved nutritional conditions for foraging. The magnitude of selection for logged areas was 73% higher for elk at low population density, consistent with predictions from the ideal free distribution. Yet elk avoided these same areas during daytime up to 28 years post-logging and instead selected for untreated forest, suggesting a role for cover to meet other life history requirements. Our results demonstrate that while landscape-scale disturbances can lead to increased selection by large herbivores suggesting the improvement in foraging conditions can persist over short-term successional timescales, the magnitude of the benefits may not be equal across population densities. Further, the enduring avoidance of logging treatments during daytime indicates a need for structurally-intact forest and suggests that a mosaic of forest patches of varying successional stages and structural completeness will likely be most beneficial to large herbivores.</p>
Comparison Metrics Microscale Simulation Challenge for Wind Resource Assessment - Perdigão
<p>Simulation results of the "Comparison Metrics Microscale Simulation Challenge for Wind Resource Assessment". Simulations with various models and tools were performed of the Perdigão site. The wind speed profiles for nine metmast positions and the AEP values for two metmast positions are made available. At each position the wind speed profiles and AEP values are given for twelve wind direction sectors.</p>
Data set and analytic codes supporting "Direct observation to assess the effects of habitat structure and complexity on resource-use behaviour of butterflies: a study case in smallholding oil palm plantations in Peninsular Malaysia"
<p>This deposit contains data set and analytic codes (with a meta data) supporting "Direct observation to assess the effects of habitat structure and complexity on resource-use behaviour of butterflies: a study case in smallholding oil palm plantations in Peninsular Malaysia".</p> <p>We investigated how habitat structure and complexity within smallholding oil palm plantations affected resource-use behaviours of two common butterfly species in the study areas (oil palm plantations in Banting, Selangor, Malaysia): Leptosia nina (Pieridae) and Ypthima spp. (Nymphalidae). Using direct-observation methods we developed, we followed seven and nine individuals of each species respectively, for three minutes in smallholder-owned immature monoculture and polyculture oil palm, and mature monoculture oil palm plantations. We recorded distance travelled by each individual from both straight line and the sums of distances between all perching points, and the position and characteristics of each perch location, where the individual landed. We compared our observations to control runs, generated by pairing observed distances travelled, but selecting the direction for each movement at random. By comparing the distance travelled and characteristics of locations used by butterflies and paired control points across habitats, we assessed how individuals in the two species used the local environment and whether this differed with habitat structure and complexity.</p> <p>Funding and research permission: Jardine Foundation, the Cambridge Trust, and Tim Whitmore Fund funded MFH, the Biotechnology and Biological Sciences Research Council (BBSRC) funded JS (USN: 304338625), and BBSRC (BB/T012366/1) funded the establishment of the plots and surveys of environmental parameters. Research permission was granted by the Economic Planning Unit (EPU) of Malaysia’s Prime Minister’s Department for MFH (Ref: EPU 40/200/19/3727) and JS (Ref: MEA 40/200/19/3705).</p>
Citrus genomic resources unravel putative genetic determinants of Huanglongbing pathogenicity
<p>Citrus HLB caused by Candidatus Liberibacter asiaticus is a pathogen-triggered</p> <p>immune disease. Here, we identified putative genetic determinants of HLB</p> <p>pathogenicity by integrating citrus genomic resources to characterize the pan</p> <p>genome of accessions that differ in their response to HLB. Genome-wide associ</p> <p>ation mapping and analysis of allele-specific expression between susceptible,</p> <p>tolerant, and resistant accessions further refined candidates underlying the</p> <p>response to HLB. We first developed a phased diploid assembly of Citrus sinensis</p> <p>‘Newhall’ genome and produced resequencing data for 91 citrus accessions that</p> <p>differ in their response to HLB. These data were combined with previous rese</p> <p>quencing data from 356 accessions for genome-wide association mapping of</p> <p>the HLB response. Genes determinants for HLB pathogenicity were associated</p> <p>with host immune response, ROS production, and antioxidants. Overall, this</p> <p>study has provided a significant resource of citrus genomic data and identified</p> <p>candidate genes to be further explored to understand the genetic determinants</p> <p>of HLB pathogenicity</p>
Data and Code for the Manuscript: Aquatic insects balance growth with future supply of algal food resources
<p>Some consumers depend on the contemporaneous growth of the resources they feed on. For example, <em>Tanytarsus gracilentus</em> midges feed on algae, and because midge generation time is much longer than that of algae, midges benefit not just from the standing stock but also from the growth of algae. This implies that an intermediate consumption rate maximizes midge somatic growth: low consumption rates constrain midge growth, whereas high consumption rates reduce algae and future food abundance. In an experiment, we manipulated midge presence and initial algal abundance. We found that midges could suppress algal growth, as measured by changes in algal primary production (GPP). We also found a positive relationship between GPP and midge growth. We then fit a consumer-resource model to the experimental data, which showed the expected hump-shaped relationship between midge consumption rates and their somatic growth. In the model, projected midge growth rates were only positively associated with GPP when midge consumption was below the value that optimized midge growth. Therefore, the observed relationship between instantaneous primary production and midge growth seen in the experiment suggests that midges did not overexploit algae. This work highlights the challenges faced by consumers that depend on contemporaneously growing resources.</p>
Supporting data for: Quantitative visualization of two-phase flow in a fractured porous medium, Water Resources Research
<p>This dataset includes experimental images and data processing scripts used to generate the results detailed in the paper titled: Quantitative visualization of two-phase flow in a fractured porous medium and submitted to Water Resources Research.</p>
Combining Proofs for Description Logic and Concrete Domain Reasoning - RuleML+RR23 - Resources
<p><strong>experiment-RuleML+RR-2023.zip</strong> contains the materials used in the experiment described in the paper, and a README file with instructions on how to rerun the experiment.</p>
Dataset of the Kunbaja online resource
<p>Data of the Kunbaja online resource model built in QGIS as dataset in the .xlsx file format</p>
A new genomic resource to enable standardized surveys of SNPs across the native range of brook trout (Salvelinus fontinalis)
<p>Understanding how genetic diversity is distributed across spatiotemporal scales in species of conservation or management concern is critical for identifying large-scale mechanisms affecting local conservation status and implementing large-scale biodiversity monitoring programs. However, cross-scale surveys of genetic diversity are often impractical within single studies, and combining datasets to increase spatiotemporal coverage is frequently impeded by using different sets of molecular markers. Recently developed molecular tools make surveys based on standardized SNP panels more feasible than ever but require existing genomic information. Here, we demonstrate the utility of genome-wide SNPs reflective of range-wide genetic diversity for surveying populations across the native species range. These data can be leveraged to design SNP panels that allow datasets to be combined for large-scale analyses. We develop this resource for brook trout (<em>Salvelinus fontinalis</em>). We performed restriction site-associated DNA sequencing for wild brook trout from 82 locations spanning much of the native range and domestic brook trout from 24 hatchery strains used in stocking efforts. We identified over 24,000 SNPs putatively representing neutral and adaptive regions of the brook trout genome. We explored the ability of these SNPs to resolve relationships across spatial scales, including population structure, hatchery admixture, and outlier loci. Our dataset captures a wide spectrum of genetic diversity in native brook trout, offering a valuable resource for developing SNP panels. We highlight potential applications of this resource with the goal of increasing the integration of genomic information into decision-making for brook trout and other species of conservation or management concern.</p>
Trusting Information Systems in Everyday Work Events – Effects on Cognitive Resources, Performance, and Well-being
<p>This dataset contains raw data collected in an online study at the University of Muenster, Germany. The study is part of a larger research project and examined trust in information systems' associations with users' cognitive resources, performance, and well-being within everyday working events, making use of the event reconstruction method (Grube et al., 2008). It further investigated the moderating influence of contextual conditions of the usage event (i.e., users' accountability and workplace distractions), as well as user-related factors. Data collection was divided into two studies: a pre-study in which user-related factors (disposition to trust technology, technology competence, need for cognition, conscientiousness, need forcontrol) were collected; and a main study within which subjects were asked to put themselves back into their last information system usage event using the event reconstruction method and to indicate their trust in the system, assumed outcomes, as well as perceptions of accountability and workplace distractions.</p>
Chat-GPT MT: Competitive for High- (but not Low-) Resource Languages
<p>System outputs for the paper Chat-GPT MT: Competitive for High- (but not Low-) Resource Languages. Contains outputs for ChatGPT zero-shot and five-shot, GPT-4 five-shot, and Google Translate API</p>
ScienceDex guides
Understand access before you commit
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.