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Fig. 3 in LED grow lights alter sorghum growth and sugarcane aphid (Hemiptera: Aphididae) plant interactions in a controlled environment
Fig. 3. Number of true leaves on 4 different sorghum entries grown under conventional and LED light sources.
Fig. 4 in LED grow lights alter sorghum growth and sugarcane aphid (Hemiptera: Aphididae) plant interactions in a controlled environment
Fig. 4. Plant height (cm) for 2 different sorghum entries grown under conventional and LED light sources.
Fig. 1 in LED grow lights alter sorghum growth and sugarcane aphid (Hemiptera: Aphididae) plant interactions in a controlled environment
Fig. 1. Light emission spectrum of the W2238 LED grow panel over the visible spectrum and into the near infrared. The inset spectrum is zoomed vertically to show details of any weaker emissions.
Fig. 2 in Halyomorpha halys (Stål) (Hemiptera: Pentatomidae) nymph survival and adult feeding preferences for crop plants in Florida
Fig. 2. Mean (± SE) number of Halyomorpha halys adults resting or feeding on various plant species in choice tests. Means with the same letter are not significantly different (Tukey-Kramer test, P ≤ 0.05, 6 replicates of 4 adults).
Fig. 1 in Halyomorpha halys (Stål) (Hemiptera: Pentatomidae) nymph survival and adult feeding preferences for crop plants in Florida
Fig. 1. Mean (± SE) survival of second instar Halyomorpha halys to the adult stage on various plant species. Means with the same letter are not significantly different (Tukey-Kramer test, P ≤ 0.05, 3 replicates of 6 nymphs).
Fig. 1 in Attraction of Sitophilus zeamais (Coleoptera: Curculionidae) to four host plants
Fig. 1. Weevils reared on corn, barley, brown rice, and milo, and presented a choice of 4 host plants. (a) Mean (SE) number of S. zeamais located on maize, oat, rice, and milo plants; (b) mean (SE) number of S. zeamais located on the soil surrounding maize, oat, rice, and milo plants; (c) mean (SE) number of S. zeamais located on the roots of maize, oat, rice, and milo plants. Means with the same letter are not significantly different.
Fig. 2 in Bugs carry pollen too: pollination efficiency of plant bug Pseudatomoscelis seriatus (Hemiptera: Miridae) visiting cotton flowers
Fig. 2. Pollination of cotton, Gossypium hirsutum, by cotton fleahopper, Pseudatomoscelis seriatus: (A) number of seeds per fruit among pollination treatments; (B) seed mass per fruit among pollination treatments; (C) lint weight per fruit among pollination treatments. Bars represent treatment means and error bars represent ± standard error of the mean. Treatment means listed with the same letter are not significantly different (P> 0.05).
Fig. 1 in Bugs carry pollen too: pollination efficiency of plant bug Pseudatomoscelis seriatus (Hemiptera: Miridae) visiting cotton flowers
Fig. 1. Photographs of a cotton fleahopper, Pseudatomoscelis seriatus, taken under a dissecting microscope (A) foraging on a cotton, Gossypium hirsutum, stigma, and (B) carrying cotton pollen grains.
Fig. 1. Portable chamber. Bottoms A and B in A portable chamber for experimental observations of Bactericera cockerelli on plant seedlings and leaves
Fig. 1. Portable chamber. Bottoms A and B of chamber, with holes (a) and (b); cryovial cap (C) positioned in hole b; cap C with perforation (c); cryovial tube (D). Two chambers complete with plants, with water (E) or substrate (F) and modeling clay (yellow arrows) sealing the plant in tube. Adults (G) and eggs (H, I) (black and white arrows, respectively) of Bactericera cockerelli, and tomato leaflet inside chamber.
Data and analyses for Perkowski et al. (2024) manuscript accepted to AoB Plants: "Symbiotic nitrogen fixation reduces belowground biomass carbon costs of nitrogen acquisition under low, but not high, nitrogen availability"
<p>This repository contains data and scripts for analyses and plots in Perkowski et al. (2024), titled "Symbiotic nitrogen fixation reduces belowground biomass carbon costs of nitrogen acquisition under low, but not high, nitrogen availability".</p> <p>v2.0 updates code and scripts per reviewer comments and is the final release prior to manuscript proofing.</p>
Power Plant Siting Results for GODEEEP
<h3>Introduction</h3> <p>This dataset contains power plant infrastructure siting information modeled by the Capacity Expansion Regional Feasibility (<a href="https://github.com/IMMM-SFA/cerf" target="_blank" rel="noopener">CERF</a>) model for the <a href="https://godeeep.pnnl.gov/">GODEEEP</a> project for the purpose of studying power plant landscape evolution under alternative capacity expansion scenarios. </p> <p>CERF is an open-source geospatial Python package for evaluating and analyzing future electricity technology capacity expansion feasibility.</p> <p>Summaries of each of the two siting scenarios included are provided below. For additional information, see <a href="https://doi.org/10.1016/j.egycc.2023.100117">Ou et al. 2023</a>and the <a href="https://godeeep.pnnl.gov/">GODEEEP website</a>.</p> <h3>Scenario Descriptions</h3> <ul> <li><strong>business_as_usual_ira_ccs_climat</strong>e : <ul> <li>This scenario does not include any long-term federal policies requiring decarbonization.</li> <li>It does include the US Inflation Reduction Act (IRA) incentives.</li> <li>It assumes that CCS technologies are available.</li> </ul> </li> <li><strong>net_zero_ira_ccs_climate</strong>: <ul> <li>This scenario includes a clean electricity grid in the U.S. by 2035 and a net-zero economy by 2050.</li> <li>It does include US IRA incentives.</li> <li>It assumes that CCS technologies are available.</li> </ul> </li> </ul> <h3>Climate and Socioeconomic Assumptions</h3> <ul> <li><strong>Climate:</strong> These scenarios include the dynamic effects of a climate pathway (<a href="https://www.nature.com/articles/s41597-023-02485-5">RCP8.5</a>) on heating and cooling degree days (HDD/CDD) in the period 2020-2050. </li> <li><strong>Socioeconomic</strong>: <a href="https://doi.org/10.1016/j.gloenvcha.2015.01.004">Shared Socioeconomic Pathway 2</a>. A "middle of the road" socioeconomic pathway where population and economic growth trends follow historical patterns.</li> </ul> <h3>Data Information</h3> <ul> <li>Coordinates provided in each of the data files follows the NAD 1983 Albers contiguous USA Coordinate Reference System (ESRI:102003).</li> <li>New infrastructure sitings are provided for the 11 states in the Western Interconnection including: Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, Oregon, Washington, and Wyoming.</li> <li>The file type represents a specific spatial resolution of infrastructure sitings: <ul> <li> 1 km level data: <br> <ul> <li>Includes new power plant sitings by year at a 1 km-squared resolution.</li> <li>For technologies where a representative power plant facility can be sited within the area of a single square km (e.g., natural gas, biomass), coordinates provided at this resolution are representative of the entire plant location where the facility is sited. </li> <li>For Solar PV, Solar CSP, Onshore Wind, and Offshore Wind technologies, representative power plants (i.e., farms) are typically larger than a single square km. Therefore, coordinates provided at the 1 km-squared resolution in this file represent the total capacity (MW) of these technologies that was sited within a 1 km x 1km grid cell and does not represent a standalone wind or solar farm facility or an individual wind turbine.</li> </ul> </li> <li>Plant-level data <ul> <li>This file type includes all power plant locations at the plant level including both new additions and pre-existing facilities.</li> <li>Coordinates in this file represent the center of a power plant facility.</li> <li>For CERF-sited technologies where a representative power plant facility can be sited within the area of a single square km (e.g., natural gas, biomass), coordinates will match those provided in the CERF siting output file.</li> <li>For coodinates associated with CERF-sited Solar PV, Solar CSP, Onshore Wind, and Offshore Wind farms, the center coordinates of the farm are provided. Farms in this file are spatially-clustered aggregates of individual 1 km-squared solar and wind sitings from the CERF-siting output.</li> </ul> </li> </ul> </li> </ul> <h3>File Descriptions</h3> <table> <tbody> <tr> <td><strong>File Name</strong></td> <td><strong>File Type</strong></td> <td><strong>Scenario</strong></td> </tr> <tr> <td>power_plant_additions_1km_bau.csv</td> <td>1 km data</td> <td> <p>business_as_usual_ira_ccs_climate</p> </td> </tr> <tr> <td>power_plants_bau.csv</td> <td>Plant-level data</td> <td>business_as_usual_ira_ccs_climate</td> </tr> <tr> <td>power_plant_additions_1km_net_zero.csv</td> <td>1 km data</td> <td>net_zero_ira_ccs_climate</td> </tr> <tr> <td>power_plants_net_zero.csv</td> <td>Plant-level data</td> <td>net_zero_ira_ccs_climate</td> </tr> </tbody> </table> <h3>Data Descriptions</h3> <table> <tbody> <tr> <td><strong>Column Name</strong></td> <td><strong>Data Description</strong></td> <td><strong>Units</strong></td> </tr> <tr> <td>scenario</td> <td>Name of scenario</td> <td>N/A</td> </tr> <tr> <td>region_name</td> <td>US state name</td> <td>N/A</td> </tr> <tr> <td>tech_id</td> <td>Unique technology identifier</td> <td>N/A</td> </tr> <tr> <td>technology</td> <td>Type of generation technology with detailed information on cooling type, turbine type, hub-height, and carbon capture (as applicable)</td> <td>N/A</td> </tr> <tr> <td>technology_simple</td> <td>Type of generation technology with no additional detailed information</td> <td>N/A</td> </tr> <tr> <td>unit_size_mw</td> <td>Rated power plant capacity </td> <td>Megawatts (MW)</td> </tr> <tr> <td>xcoord</td> <td>x coordinate of siting location</td> <td>N/A</td> </tr> <tr> <td>ycoord</td> <td>y coordinate of siting location</td> <td>N/A</td> </tr> <tr> <td>buffer_in_km</td> <td>Buffer applied to siting location in CERF</td> <td>kilometers (km)</td> </tr> <tr> <td>sited_year</td> <td>Year power plant was sited</td> <td>N/A</td> </tr> <tr> <td>retirement_year</td> <td>Year power plant was retired</td> <td>N/A</td> </tr> <tr> <td>lifetime_yrs</td> <td>Technology lifetime</td> <td>Years</td> </tr> <tr> <td>operational_life_yrs</td> <td>Years technology operated for</td> <td>Years</td> </tr> <tr> <td>locational_marginal_price_usd_per_mwh</td> <td>Locational marginal price of energy</td> <td>USD/Megawatt-hour (MWh)</td> </tr> <tr> <td>generation_mwh_per_year</td> <td>Annual generation </td> <td>MWh</td> </tr> <tr> <td>capacity_factor_fraction</td> <td>Capacity factor</td> <td>Fraction</td> </tr> <tr> <td>carbon_capture_rate_fraction</td> <td>Rate of carbon capture </td> <td>Fraction</td> </tr> <tr> <td>fuel_price_usd_per_mmbtu</td> <td>Fuel price</td> <td>USD/million British thermal units</td> </tr> <tr> <td>heat_rate_btu_per_kWh</td> <td>Heat rate</td> <td>British thermal units/kilowatt-hour</td> </tr> <tr> <td>variable_om_usd_per_mwh</td> <td>Variable operations and maintenance cost</td> <td>USD/MWh</td> </tr> <tr> <td>cerf_sited</td> <td>Binary variable indicating whether the power plant was sited by CERF (value=1) or a pre-existing power plant (value=0)</td> <td>N/A</td> </tr> </tbody> </table> <h3> </h3> <h3>Acknowledgement</h3> <p>This research was supported by the Grid Operations, Decarbonization, Environmental and Energy Equity Platform (GODEEEP) Investment, under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL).</p> <p>PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.</p>
plant-pollinator-mpl-049
<h1>plant-pollinator-mpl-049</h1> <div><strong>Summary</strong></div> <div> </div> <div>This is a hypergraph dataset where nodes are plants species, and hyperedges are pollinator species that visit a given plant. </div> <div>Locality of study: Denmark (latitude: 56.066667, longitude: 10.216667).</div> <div> </div> <div><strong>Statistics</strong></div> <div> </div> <div>Some basic statistics of this dataset are:</div> <div> <ul> <li> <div>number of nodes: 37</div> </li> <li> <div>number of hyperedges: 225</div> </li> </ul> <p><strong>Changelog</strong></p> <ul> <li>v0.1: initial version</li> </ul> </div> <div><strong>Source of original data</strong></div> <div> </div> <div>Source: <a href="https://www.web-of-life.es/">web-of-life</a>, dataset ID: M_PL_049.</div> <div> </div> <div><strong>References</strong></div> <div> </div> <div>If you use this dataset, please cite these references:</div> <div>* Bek S (2006). A pollination network from a Danish forest meadow. MSc thesis (Univ of Aarhus, Aarhus, Denmark).</div> <p> </p>
plant-pollinator-mpl-015
<h1>plant-pollinator-mpl-015</h1> <div><strong>Summary</strong></div> <div> </div> <div>This is a hypergraph dataset where nodes are plant species, and hyperedges are pollinator species that visit a given plant. </div> <div>Locality of study: Daphní, Athens, Greece (latitude: 38.014466, longitude: 23.635043).</div> <div> </div> <div><strong>Statistics</strong></div> <div> </div> <div>Some basic statistics of this dataset are:</div> <div> <ul> <li>number of nodes: 131</li> <li>number of hyperedges: 666</li> </ul> <p><strong>Changelog</strong></p> <ul> <li>v0.1: initial version</li> </ul> </div> <div><strong>Source of original data</strong></div> <div> </div> <div>Source: <a href="https://www.web-of-life.es/">web-of-life</a>, dataset ID: M_PL_015.</div> <div> </div> <div><strong>References</strong></div> <div> </div> <div>If you use this dataset, please cite these references:</div> <div>* Petanidou, T. (1991).<a href="https://thesis.ekt.gr/thesisBookReader/id/10184#page/1/mode/2up"> Pollination ecology in a phryganic ecosystem</a>. Unp. PhD. Thesis, Aristotelian University, Thessaloniki.</div> <div> </div>
plant-pollinator-mpl-016
<h1>plant-pollinator-mpl-016</h1> <div><strong>Summary</strong></div> <div> </div> <div>This is a hypergraph dataset where nodes are plants species, and hyperedges are pollinator species that visit a given plant. </div> <div>Locality of study: Doñana Nat. Park, Spain (latitude: 37.016667, longitude: -6.55).</div> <div> </div> <div><strong>Statistics</strong></div> <div> </div> <div>Some basic statistics of this dataset are:</div> <div> <ul> <li> <div>number of nodes: 26</div> </li> <li> <div>number of hyperedges: 179</div> </li> </ul> <p><strong>Changelog</strong></p> <ul> <li>v0.1: initial version</li> </ul> </div> <div><strong>Source of original data</strong></div> <div> </div> <div>Source: <a href="https://www.web-of-life.es/">web-of-life</a>, dataset ID: M_PL_016.</div> <div> </div> <div><strong>References</strong></div> <div> </div> <div>If you use this dataset, please cite these references:</div> <div>* Herrera, J. (1988) <a href="https://www.jstor.org/stable/2260469)%20Journal%20of%20Ecology%2076:%20274-287">Pollination relatioships in southern spanish mediterranean shrublands</a>. Journal of Ecology 76: 274-287.</div> <p> </p>
plant-pollinator-mpl-062
<h1>plant-pollinator-mpl-062</h1> <p><strong>Overview</strong></p> <div>This is a hypergraph dataset where nodes are plants species, and hyperedges are pollinator species that visit a given plant. </div> <div>Locality of study: Carlinville, Illinois, USA (latitude: 39.278958, longitude: -89.8968771).</div> <p><strong>Statistics</strong></p> <div>Some basic statistics of this dataset are:</div> <div> <ul> <li>number of nodes: 456</li> <li>number of hyperedges: 1,044</li> </ul> <p><strong>Changelog</strong></p> <ul> <li>v0.1: initial version</li> </ul> </div> <div><strong>Source of original data</strong></div> <div>Source: <a href="https://www.web-of-life.es/">web-of-life</a>, dataset ID: M_PL_062.</div> <div> </div> <div><strong>References</strong></div> <div>If you use this dataset, please cite these references:</div> <div>* Robertson, C. 1929. "Flowers and insects: lists of visitors to four hundred and fifty-three flowers". Carlinville, IL, USA, C. Robertson.</div> <div> </div>
Plant responses to urban gradients: extinction, plasticity, adaptation
<p><span>Individual functional traits (LMA – leaf mass per area, plant height and flower length), population performance traits (seed mass and germination rate), as well as species frequency in the plant community, of four herbaceous plant species present in the metropolitan area of Strasbourg: Dactylis glomerata, Medicago lupulina, Plantago lanceolata, Trifolium pratense. Traits were measured <em>in situ</em> at 60 mesophilic herbaceous sites, and <em>ex situ</em> in a common garden experiment in the Botanical Garden of the University of Strasbourg. Environmental data include mowing frequency, soil characteristics (composition and structure), air temperature, air humidity, and surrounding landscape variables: mean building height, population density, NDVI, road density, and distance to the city center. <br></span></p>
Fig. 11 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 11.ɹPerineura pictipennis. A, Two larvae on Hydrangea serrata var. serrata, Wami, 30. V. 2020; B, larger larva in A, late instar, 7. VI. 2020; C, another smaller larva in A, matured, and cast skin, 23. VI. 2020; D, female adult, same individual as B, emerged, 30. III. 2021. Photographed by Ibuki.
Fig. 10 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 10.ɹPerineura okutanii. A–B, Late instar larva on Hydrangea macrophylla f. macrophylla, Oyamada, 31. V. 2016; C, two females, emerged, 11. IV. 2017. Photographed by Ibuki.
Fig. 8 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 8.ɹNematus yokohamensis. A, Lance; B–C, lancet; D–E, male genitalia in dorsal and ventral views; F, penis valve. Photographed by Hara.
Fig. 7 in Taxonomic Notes and New Distribution and Host Plant Records for Sawflies and Woodwasps (Hymenoptera, Symphyta) of Japan VIII
Fig. 7.ɹNematus yokohamensis. A, Head in dorsal view, female, B, ditto, male; C, frons in anterodorsal view, female (convexity arrowed); D, ditto, male; E, head and base of antenna in lateral view, female (convexity arrowed); F, ditto, male; G, ventral part of head in anterior view (lectotype); H, clypeus and mandibles in anterior view, female; I–J, right and left mandibles in outer views, female; K, posterior part of thorax in dorsal view, female; L, claw (lectotype); M, apex of female abdomen in dorsal view; N, apex of female abdomen in lateral view; O, apex of male abdomen in dorsal view. Photographed by Hara.
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.