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9,152 results for “Networking”
Sap Flux and Microclimate Data for Co-Occurring White Spruce and Paper Birch at an Intermediate Aged Stand in the Bonanza Creek LTER Regional Site Network 2013-2018
This dataset contains hourly mean sap flux density and microclimate data for co-occurring white spruce and Alaska paper birch from early June of 2013 to mid-September of 2018. The data were published as part of a 2021 article in Journal of Ecology.
National Phenology Network tree phenology: Phenology, the timing of biological events such as bud break, plant flowering times and bird migration
Phenology is the study of recurring plant/animal phenophases. Environmental changes will likely impact phenological events at the species level and above. Most of the phenological changes are unknown at the species level and may have large impacts on natural ecosystems in the future. As part of a long term phenological experiment on forest ecosystems, since spring 2009 phenophases were observed on strategically selected forest species. This experiment is part of the National Phenology Network (USA-NPN).
Plant Species Composition percent cover:Nutrient Network: A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Light Availability:Nutrient Network: A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Aboveground Standing Crop Biomass:Nutrient Network A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Plant and soil organic matter responses to ten years of nutrient enrichment in the Nutrient Network:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Plant above and belowground biomass across an N fertilization gradient after 13 years of fertilization:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Net ecosystem exchange measurements throughout the 2020 growing season across an N fertilization gradient:Nutrient Network. A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function.
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Coweeta LTER Environmental Sensor Station Network
Coweeta LTER maintains a network of more than 60 environmental sensor stations at locations throughout the Coweeta Hydrologic Laboratory, western North Carolina, and Georgia. The stations provide long-term monitoring of various environmental parameters. This dataset provides various files with location descriptions, coordinates, and other information about the sites. The data is split between the sites inside and outside of the lab boundaries.
Drought Impact on Desert Ecosystems, Drought Network precipitation manipulation experiment in desert grasslands
Climate change amplifies the global water cycle, making droughts more frequent and more severe. The hot deserts of the U.S. rely on the stability and frequency of water availability in order to sustain biological communities, making these ecosystems incredibly vulnerable to anticipated alterations in the water cycle. This project seeks to understand which biotic and abiotic variables are principle in determining desert ecosystem sensitivity to drought? To answer these questions, we have installed a drought manipulation that will simulate an extreme drought event by reducing annual precipitation by 66% in seven desert sites. Plant abundance data are collected annually to track changes in the plant community. Data collection began in Spring 2018. Treatments at three Sevilleta sites began in Fall 2018 after data collection in October 2018. Treatments started at four sites in Arizona and California in March and April of 2019 and spring pretreatment data collection. The treatments will last for four years.
Keywords and Terms from the LTER Network - 2006
This dataset contains a list of keywords and keyterms used in U.S. LTER documents and datasets. It was jointly created by the Information Management Committee of the U.S. LTER.
Network analysis of nitrogen cycling in Hog Island Bay, VA and Sacca di Goro, IT
This data was used in a Network Analysis of Nitrogen Cycling in two shallow coastal lagoons: Hog Island Bay in Virginia, USA and Sacca di Goro in Italy. This dataset consists of data in the Excel spreadsheet formatted for use with the WAND software package (http://www.dsa.unipr.it/netanalysis/?Software).
Neuroimaging evidence for network sampling theory of human intelligence
Open the record for dataset details and reuse information.
In-scanner head motion and structural covariance networks
Open the record for dataset details and reuse information.
Preliminary catalogue of High Agri Valley seismicity (southern Italy) recorded by the temporary INSIEME network.
<p>The preliminary catalogue is a comma-separated values (CSV) file which lists the preliminary location and magnitude estimation of 852 local natural and induced earthquakes occurred between September 2016 and March 2019. The catalogue has been produced with the Origin Locator Viewer (scolv) tool of the software SeisComP3 (<a href="https://www.seiscomp3.org">https://www.seiscomp3.org</a>) running on the server of the INSIEME seismic network (<a href="https://doi.org/10.7914/SN/3F_2016">https://doi.org/10.7914/SN/3F_2016</a>). The information included in this catalogue should be considered preliminary both in terms of earthquake location and local magnitude (ML) estimation.</p> <p>Each row of the CSV file indicates the following source parameters:</p> <p><em>ORIGIN TIME (UTC), LATITUDE </em>˚<em>N, LONGITUDE </em>˚<em>E, DEPTH (KM), MAGNITUDE (ML)</em></p> <p>---</p> <p>This file belongs to the Supplement of the article: Stabile, T. A., Serlenga, V., Satriano, C., Romanelli, M., Gueguen, E., Gallipoli, M. R., Ripepi, E., Saurel, J.-M., Panebianco, S., Bellanova, J., and Priolo, E.: The INSIEME seismic network: a research infrastructure for studying induced seismicity in the High Agri Valley (southern Italy), Earth Syst. Sci. Data, <a href="https://doi.org/10.5194/essd-2019-113">https://doi.org/10.5194/essd-2019-113</a>, 2020.</p>
SIMBED+ - Replicable Real Wireless Networking Experiments using ns-3
<p>Wireless networking R&D depends on experimentation to make realistic evaluations of networking solutions, as simulation is inherently a simplification of the real-world. However, despite more realistic, experimentation is limited in aspects where simulation excels, such as repeatability and reproducibility.</p> <p>Real wireless experiments may be difficult to repeat. For the same input they can produce very different output results, since wireless communications are influenced by external phenomena such as noise, interference, and multipath. Even if repeatable, experiments may still be difficult to reproduce. Namely, other researchers may be unable to reproduce an experiment and confirm previous experimental results right away, because either the testbed is unavailable – offline or running other experiments when using a community testbed –, or inaccessible at all when a custom testbed was originally used.</p> <p>Fed4FIRE+ testbeds such as w-iLab.t, although operating in controlled environment, do not fully address the problem. This is even more evident in testbeds running in non-controlled and very dynamic environments, such as CityLab, where they may suffer from radio interference and competition from existing networks sharing the same radio spectrum.</p> <p>What if we could make any wireless experiment repeatable and reproducible? What if we could share the same Fed4FIRE+ testbed execution conditions among an "infinite" number of users? What if we could run wireless experiments faster than in real time?</p> <p>INESC TEC has developed the Offline Experimentation (OE) approach that combines the best of simulation and experimentation to achieve the above-mentioned goals. By relying on Network Simulator 3 (ns-3) and its good simulation capabilities from the MAC to the Application layer, we have been exploring how ns-3 can be used to replicate real-world wireless experiments using real traces containing 1) position of nodes and 2) the quality of each radio link.</p> <p>The previous <strong>SIMBED </strong>project validated the OE approach for controlled environments and helped identifying some of its limitations. The OE approach was then improved to support experiments using Multiple-In-Multiple-Out (MIMO) and shared radio spectrum with concurrent networks. To further validate the improved OE approach, the <strong>SIMBED+</strong> project aimed at running a set of experiments on top of the controlled and non-controlled environments of w-iLab.t and CityLab Fed4FIRE+ testbeds. For that purpose, we configured different fixed experimental scenarios, representative of Wi-Fi range of operation, subjected to controlled and non-controlled interference from concurrent experiments. For each experiment the achieved network throughput was measured. Then, we repeated each experiment using, both, Pure Simulation (PS) and OE approaches (now with MIMO and channel occupancy information) based on ns-3, also measuring the network throughput for the same set of experiments.</p> <p>To compare the network throughput of the real experiments with their PS and OE counterparts, Cumulative Distribution Function (CDF) curves were used, plotting all 1-second average throughput samples. For all the experiments performed in SIMBED+, using the improved OE approach resulted in network throughput considerably closer to real than using the PS approach. This is even more evident in non-controlled environments using MIMO and shared radio spectrum.</p> <p>These results were important for further validating the OE approach, producing two conference papers and one journal paper. The SIMBED+ results increased our confidence on the OE approach ability of reproducing past experiments, and are envisioned to foster the adoption of the OE approach by the networking community, in complement to the use of real experimentation.</p> <p> </p> <p>The following dataset presents the results of the SIMBED+ project, organized in different folders, for each subset of experiments carried on:</p> <ul> <li><strong><em>SubExp#1: </em></strong><em>Trace-based PHY rate with SISO support (802.11a, BW 20 MHz) </em></li> <li><strong><em>SubExp#2: </em></strong><em>Trace-based PHY rate with MIMO support (802.11n/ac, BW 20/40 MHz, MIMO 3x3) </em> <ul> <li><strong><em>SubExp#2.1: </em></strong><em>IEEE 802.</em><em>11n, 20 MHz, MIMO 3x3</em></li> <li><strong><em>SubExp#2.2: </em></strong><em>IEEE 802.</em><em>11n, 40 MHz, MIMO 3x3</em></li> <li><strong><em>SubExp#2.3: </em></strong><em>IEEE 802.</em><em>11ac, 40 MHz, MIMO 3x3</em></li> </ul> </li> <li><strong><em>SubExp#3: </em></strong><em>Shared radio spectrum support (occupancy at the sender)</em></li> <li><strong><em>SubExp#4: </em></strong><em>Shared radio spectrum support (occupancy at the receiver)</em></li> <li><strong><em>SubExp#5:</em></strong> <em>Trace-based PHY rate, MIMO and shared radio spectrum support</em></li> </ul> <p>Each experiment has an individual folder, named according to the date and time of the experiment and the nodes used. Inside, there’s a folder for the <strong>parsed</strong> experimental results, which contains</p> <p>This folder contains the details and parsed logs of the experiment, as follows:</p> <ul> <li><em>date_time</em><strong>.cfg </strong>– configuration details of the experiment</li> <li><em>date_time_NodeID<sup><a href="#_ftn1"><strong>[1]</strong></a></sup>_SenderID<sup><a href="#_ftn2"><strong>[2]</strong></a></sup>_ReceiverID<sup><a href="#_ftn3"><strong>[3]</strong></a></sup>_FlowType<sup><a href="#_ftn4"><strong>[4]</strong></a></sup>_Params<sup><a href="#_ftn5"><strong>[5]</strong></a></sup></em><strong>.snr </strong>– logs of the Signal/Noise ratio (1 file per node/flow) </li> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em><strong>.stats</strong> – logs of the packets received (1 file per node/flow) </li> <li><em>NodeID</em><strong>.</strong><strong>waypoints</strong> – coordinates of the static nodes</li> <li><em>date_time_MobileNodeID</em><strong>.</strong><strong>waypoints</strong> – waypoints of the mobile nodes (when applicable)</li> </ul> <p>The experiment’s folder also contains a folder for the simulations <strong>output</strong> with the simulations statistics files, for the multiple simulations approaches considered, as follows:</p> <ul> <li><em>date_time_NodeID_SenderID_ReceiverID_FlowType_Params</em>.<strong>simstats </strong>– logs of the packets received (simulation)</li> </ul> <p> </p> <p><sub><a href="#_ftnref1">[1]</a> ID of the node Logging node</sub></p> <p><sub><a href="#_ftnref2">[2]</a> ID of the Sender node</sub></p> <p><sub><a href="#_ftnref3">[3]</a> ID of the Receiver node</sub></p> <p><sub><a href="#_ftnref4">[4]</a> Flow type: Unidirectional, Bidirectional or Unidirectional with Multiple Access</sub></p> <p><sub><a href="#_ftnref5">[5]</a> Configurable parameters: Sender/Receiver Transmission Power and Data Rate (when applicable)</sub></p>
Data of Bayesian inference of non-linear multiscale model parameters accelerated by a Deep Neural Network
<pre>Data from title = "Bayesian inference of non-linear multiscale model parameters accelerated by a Deep Neural Network", journal = "Computer Methods in Applied Mechanics and Engineering", pages = "112693", year = "2020", issn = "0045-7825", doi = "https://doi.org/10.1016/j.cma.2019.112693", author = "Wu, Ling and Zulueta, Kepa and Major, Zoltan and Arriaga, Aitor and Noels, Ludovic" </pre>
Crown network datasets of Caatinga´s tree Cenostigma pyramidale (Tul.) Gagnon & G.P.Lewis (Leguminosae - Caesalpinoideae)
<p>Properties of woody crown networks of <em>Cenostigma pyramidale</em> (Tul.) Gagnon & G.P.Lewis (Leguminosae - Caesalpinoideae) growing under natural conditions in Caatinga vegetation area. The data are useful in plant ecophysiology, plant functional ecology by researchers investigating the woody crown traits. We obtained the data directly from a skeletonized representation of the woody crown in a two-dimensional space by hand drawing. Subsequently, the nodes counted, and their proportions (decomposition), the distances between the different types of nodes (topology), and the values of network properties (the combination of decomposition and topology) were obtained.Properties of woody crown networks of <em>Cenostigma pyramidale</em> (Tul.) Gagnon & G.P.Lewis (Leguminosae - Caesalpinoideae) growing under natural conditions in Caatinga vegetation area. The data are useful in plant ecophysiology, plant functional ecology by researchers investigating the woody crown traits. We obtained the data directly from a skeletonized representation of the woody crown in a two-dimensional space by hand drawing. Subsequently, the nodes counted, and their proportions (decomposition), the distances between the different types of nodes (topology), and the values of network properties (the combination of decomposition and topology) were obtained.</p>
Simulated trajectories of city population: Levy walks along Buffalo, NY, street network
<p>Simulated trajectories of the full 2000 census population of Buffalo, New York. Each simulated person was placed randomly along a road within his or her census tract of residence and then independently performed road-network-constrained, truncated Lévy walks for 8 hours of simulated time, moving at 4 km per hour. The trajectories were then sampled at 30 minute intervals. The original dataset was created for studying indexes of activity-space segregation. It is archived at <a href="https://zenodo.org/record/2865830#.XpYviKsza00">https://zenodo.org/record/2865830#.XpYviKsza00</a> and described more fully in Palmer (2013), Activity-Space Segregation: Understanding Social Divisions in Space and Time (http://arks.princeton.edu/ark:/88435/dsp01k643b130h).</p> <p>This version has been created to aid in testing contact-tracing apps and mobility analysis tools. The fields are:</p> <p>latitude: latitude</p> <p>longitude: longitude</p> <p>time: UNIX time in milliseconds</p> <p>ID: random ID assigned to each individual</p>
Dataset for publication "Spectral graph theory efficiently characterises ventilation heterogeneity in airway networks".
<p>This directory contains files for the tree networks used in the manuscript "Spectral graph theory efficiently characterises ventilation heterogeneity in airway networks" by C Whitfield et al. Publication details to follow.</p> <p>Each folder contains the network as labelled in the paper in two formats:<br> - .vtk format<br> - plain text format where it is split into 3 files with suffixes .branches .nodes and .termnodes<br> - The .nodes file has 4 columns, the first is the node index and the other 3 are the (x,y,z) node coordinates in mm<br> - The .branches file has 4 columns (ignoring extra info in following columns), which are the edge index, node in index, node out index and radius (mm)<br> - The .termnodes file contains a list of node indices corresponding to terminal nodes of the tree.</p> <p>Each folder also contains the CT centerline data (identified by the suffix _CT) in .vtk format.</p>
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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.