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242 results for “distributed systems”
Figure 1 in Expansion of Lobate Lac Scale Distribution into Oahu Forest Systems
Figure 1. High density of lobate lac scale infestation can lead to branch dieback on Dodonaea viscosa (left) and Ficus spp. (right).
Allen et al., Similarity of stream width distributions across headwater systems, data 2017
<p>These files contain the results from Allen et al. "Similarity of stream width distributions across headwater systems".</p> <p>locationStreamSurveys.zip : contains stream hydromorphology data collected in seven headwater catchments in North America and New Zealand.</p> <p>repeatStreamSurveys.zip : contains stream hydromorphology data collected in six repeat surveys in the Stony subcatchment in Duke Forest, NC. </p> <p>streamWidthModelOutput.zip : contains stream width model parameters and output data presented in Allen et al. </p> <p>Note: the code used to analyze these data can be found at https://github.com/geoallen/streamWidthAnalysis2017/</p> <p> </p>
Fig. 42. Caridina tenuirostris from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 42. Caridina tenuirostris from the Malili lake system. A. Distribution. B. Colour pattern of living animal (not to scale). Picture courtesy of Rainer Masche.
Fig. 36. Caridina spongicola from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 36. Caridina spongicola from the Malili lake system. A. Distribution. B. Rostrum variability (ZMB 29027). C.-D. Colour pattern of living animals (not to scale). Figure from Zitzler & Cai (2006), i.e. by the same authors.
Fig. 13. Caridina lanceolata from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 13. Caridina lanceolata from the Malili lake system. A. Distribution. B. Colour pattern of living animal (not to scale). Picture courtesy of Chris Lukhaup.
Fig. 18. Caridina loehae from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 18. Caridina loehae from the Malili lake system. A. Distribution. B. Colour pattern of living animals (not to scale). Pictures courtesy of Chris Lukhaup.
Fig. 7. Caridina glaubrechti from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 7. Caridina glaubrechti from the Malili lake system. A. Distribution. B. Colour pattern of living animal (not to scale). Picture courtesy of Chris Lukhaup.
Fig. 30. Caridina profundicola from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 30. Caridina profundicola from the Malili lake system. A. Distribution. B. Colour pattern of living animal (not to scale). Picture courtesy of Rainer Masche.
Fig. 33. Caridina spinata from the Malili lake system. A. distribution. B,C in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 33. Caridina spinata from the Malili lake system. A. distribution. B,C. colour pattern of living animals (not to scale). Picture B. courtesy of Chris Lukhaup.
Fig. 15. Caridina lingkonae from the Malili lake system. A. Distribution. B in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 15. Caridina lingkonae from the Malili lake system. A. Distribution. B. Colour pattern of living animal (not to scale). Picture courtesy of Chris Lukhaup.
Fig. 46. Caridina woltereckae from the Malili lake system. A. Distribution. B.-C in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 46. Caridina woltereckae from the Malili lake system. A. Distribution. B.-C. Colour pattern of living animals (not to scale). Pictures courtesy of Chris Lukhaup.
Fig. 4. Caridina dennerli from the Malili lake system. A. Distribution. B.-C in Radiation Of Endemic Species Flocks In Ancient Lakes: Systematic Revision Of The Freshwater Shrimp Caridina H. Milne Edwards, 1837 (Crustacea: Decapoda: Atyidae) From The Ancient Lakes Of Sulawesi, Indonesia, With The Description Of Eight New Species
Fig. 4. Caridina dennerli from the Malili lake system. A. Distribution. B.-C. Colour pattern of living animals (not to scale). Pictures courtesy of Chris Lukhaup.
Dataset for Service Restoration of Distribution Networks Considering Energy Storage System
<p>The power distribution system presented is composed with 53 node and 61 branches and can be employed in multi-time service restoration problem, islading operation and energy storage system optimal operation. The system was designed based on a 53 node system (available <a href="https://ieee-dataport.org/documents/optimal-service-restoration-active-distribution-networks-considering-microgrid-formation">here</a>). The dataset was modified to include 6 photovoltaic generation, 3 energy storage system and time-changing demand load nodes.</p>
Optimal Dynamic Service Restoration of Distribution Networks Considering Energy Storage System Data
<p>The power distribution system presented is composed with 53 node and 61 branches and can be employed in multi-time service restoration problem, islading operation and energy storage system optimal operation. The system was designed based on a 53 node system (available <a href="https://ieee-dataport.org/documents/optimal-service-restoration-active-distribution-networks-considering-microgrid-formation">here</a>). The dataset was modified to include 6 photovoltaic generation, 3 energy storage system and time-changing demand load nodes.</p>
Distributional employment challenges and opportunities of decarbonizing the US power system
<p>This dataset presents the results in the manuscript entitled "Distributional employment challenges and opportunities of decarbonizing the US power system". The Low Carbon Transition Employment Distribution (LoCaTED) model used to generate the results can be found on GitHub (<a href="https://github.com/judyjwxie/LoCaTED">https://github.com/judyjwxie/LoCaTED</a>). The suite of data files is based on the ReEDS 2022 Standard Scenarios and our employment calculation variations. Each file shows the job creation in the number of jobs disaggregated into the year, US state, technology, and economic sector (defined by the JEDI model). </p>
Cost Efficiency Assessment of Four Pressure Management Methods in Water Distribution Systems (WRENG-5984)
<p>EPANET_3-PMX input data files for Hadımköy Water Distribution System accessible from</p> <p><a href="https://github.com/MehmetMelihKosucu/EPANET_3-PMX/tree/v3.1.1">https://github.com/MehmetMelihKosucu/EPANET_3-PMX/tree/v3.1.1</a></p>
Geodatabase Dataset of the Distribution of Inland Water fish fauna of Freshwater Systems in Northern Greece
<p>Abstract</p> <p>The dataset is a geodatabase focusing on the distribution of freshwater fish species in Northern Greece. The study area encompasses various lakes and rivers within the regions of Thrace, Eastern, Central, and Western Macedonia, and Epirus. It classifies fish species into three categories based on their conservation status according to the IUCN Red List: Critically Endangered, Endangered, and Vulnerable. The data analysis reveals that the study area is characterized by high fish diversity, particularly in certain ecosystems such as the Evros River, Strymonas River, Aliakmonas River, Axios River, Volvi Lake, Nestos River, and Prespa Lake. These ecosystems serve as important habitats for various fish species. Mapping of the dataset shows the geographic distribution of threatened fish species, indicating that Northern Greece is a hotspot for species facing extinction risks. Overall, the dataset provides valuable insights for researchers, policymakers, and conservationists in understanding the status of fish fauna in Northern Greece and developing strategies for the protection and preservation of these important ecosystems.</p> <p>Methods</p> <p>Data Collection: The dataset was collected through a combination of field surveys, literature reviews, and the compilation of existing data from various reliable sources. Here's an overview of how the dataset was collected and processed:</p> <ul> <li>Freshwater Fishes and Lampreys of Greece: An Annotated Checklist </li> <li>The Red Book of Endangered Animals of Greece</li> <li>The "Red List of Threatened Species"</li> <li>The study "Monitoring and Evaluation of the Conservation Status of Fish Fauna Species of Community Interest in Greece"</li> <li>The international online fish database FishBase</li> </ul> <p>Data Digitization and Georeferencing: To create a comprehensive database, we digitized and georeferenced the collected data from various sources. This involved converting information from papers, reports, and surveys into digital formats and associating them with specific geographic coordinates. Georeferencing allowed us to map the distribution of fish species within the study area accurately.</p> <p>Data Integration: The digitized and georeferenced data were then integrated into a unified geodatabase. The geodatabase is a central repository that contains both spatial and descriptive data, facilitating further analysis and interpretation of the dataset.</p> <p>Data Analysis: We analyzed the collected data to assess the distribution of fish species in Northern Greece, evaluate their conservation status according to the IUCN Red List categories, and identify the threats they face in their respective ecosystems. The analysis involved spatial mapping to visualize the distribution patterns of threatened fish species.</p> <p>Data Validation: To ensure the accuracy and reliability of the dataset, we cross-referenced the information from different sources and validated it against known facts about the species and their habitats. This process helped to eliminate any discrepancies or errors in the dataset.</p> <p>Interpretation and Findings: Finally, we interpreted the analyzed data and derived key findings about the diversity and conservation status of freshwater fish species in Northern Greece. The results were presented in the research paper, along with maps and visualizations to communicate the spatial patterns effectively.</p> <p>Overall, the dataset represents a comprehensive and well-processed collection of information about fish fauna in the study area. It combines both spatial and descriptive data, providing valuable insights for understanding the distribution and conservation needs of freshwater fish populations in Northern Greece.</p> <p> </p> <p>Usage notes</p> <p>The data included with the submission is stored in a geodatabase format, specifically an ESRI Geodatabase (.gdb). A geodatabase is a container that can hold various types of geospatial data, including feature classes, attribute tables, and raster datasets. It provides a structured and organized way to store and manage geographic information.</p> <p>To open and work with the geodatabase, you will need GIS software that supports ESRI Geodatabase formats. The primary software for accessing and manipulating ESRI Geodatabases is ESRI ArcGIS, which is a proprietary GIS software suite. However, there are open-source alternatives available that can also work with Geodatabase files.</p> <p>Open-source software such as QGIS has support for reading and interacting with Geodatabase files. By using QGIS, you can access the data stored in the geodatabase and perform various geospatial analyses and visualizations. QGIS is a powerful and widely used open-source Geographic Information System that provides similar functionality to ESRI ArcGIS.</p> <p>For tabular data within the geodatabase, you can export the tables as CSV files and open them with software like Microsoft Excel or the open-source alternative, LibreOffice Calc, for further analysis and manipulation.</p> <p>Overall, the data provided in the submission is in a geodatabase format, and you can use ESRI ArcGIS or open-source alternatives like QGIS to access and work with the geospatial data it contains.</p>
Distribution System Environmental and Sequencing Datasets for Assessing the Impacts of Lead Corrosion Control on the Microbial Ecology and Abundance of Drinking Water Associated Pathogens in a Full-Scale Drinking Water Distribution System
<p>The dataset of environmental parameters and sequence fastqs used to create figures and do analysis in the paper <strong>Assessing the Impacts of Lead Corrosion Control on the Microbial Ecology and Abundance of Drinking Water Associated Pathogens in a Full-Scale Drinking Water Distribution System </strong>submitted to Environmental Science & Technology</p>
Palm fruit colours are linked to the broad-scale distribution and diversification of primate colour vision systems
A long-standing hypothesis in ecology and evolution is that trichromatic colour vision (the ability to distinguish red from green) in frugivorous primates has evolved as an adaptation to detect conspicuous (reddish) fruits. This could provide a competitive advantage over dichromatic frugivores which cannot distinguish reddish colours from a background of green foliage. Here, we test whether the origin, distribution and diversity of trichromatic primates is positively associated with the availability of conspicuous palm fruits, i.e. keystone fruit resources for tropical frugivores. We combine global data of colour vision, distribution and phylogenetic data for more than 400 primate species with fruit colour data for more than 1700 palm species, and reveal that species richness of trichromatic primates increases with the proportion of palm species that have conspicuous fruits, especially in subtropical African forests. By contrast, species richness of trichromats in Asia and the Americas is not positively associated with conspicuous palm fruit colours. Macroevolutionary analyses further indicate rapid and synchronous radiations of trichromats and conspicuous palms on the African mainland starting 10 Ma. These results suggest that the distribution and diversification of African trichromatic primates is strongly linked to the relative availability of conspicuous (versus non-conspicuous) palm fruits, and that interactions between primates and palms are related to the coevolutionary dynamics of primate colour vision systems and palm fruit colours.
Output data computed for the solution of Maxwell's equations on a distributed system using the FDTD method
<p>This is an example output dataset from the distributed computation to solve Maxwell's equations using the FDTD method. This is an example from the report describing the implementation of the computer program - Gillan and Fusco (1998). The example is based on the work reported in the book by Kunz and Leubbers on the FDTD method. It consists of scattering a Gaussian pulse from a sphere of dielectric defined with a 3D cube of size 34x34x34 Yee cells. </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.