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2,774 results for “Agent”
Complete workflow for the prediction of the secretome of Fusarium oxysporum f. sp. albedinis, the causal agent of palm dieback
<p>Custom scripts for mining the secretome of <em>Fusarium oxysporum</em> f. sp. <em>albedinis</em>, the causal agent of date palm dieback disease. </p>
Data from: The success of a habitat specialist biological control agent in the face of disturbance
<p class="MsoNormal">A field study was conducted in alfalfa fields in the Arlington Agricultural Research Station, Dane County, Wisconsin, USA.</p> <p class="MsoNormal">Three fields were studied. Each field was divided into three sections and in each section a one of three treatments was implemented:</p> <p class="MsoListParagraphCxSpFirst"><span><span>1.<span> </span></span></span>Control – harvesting normally, once a month (medium disturbance)</p> <p class="MsoListParagraphCxSpMiddle"><span><span>2.<span> </span></span></span>Insecticide – harvesting as in the control + implementing insecticide spray (permethrin insecticide Pounce 32 EC (8 oz/ac)) immediately after harvest (high disturbance)</p> <p class="MsoListParagraphCxSpLast"><span><span>3.<span> </span></span></span>Strips – harvesting in strips (low disturbance)</p> <p class="MsoNormal">In each field and each section insects were collected during the summer of 2001 (exact dates are in the files). Insects were collected with sweep nets, the number of sweeps changed in according to the number of aphids in the field, and is given in the files for each sample. Mummies of Apidius ervi were collected by visual searches of three minutes.</p>
Behavioral analysis for market anomalies with heterogeneous agent model
<p>This paper investigates the effect of heterogeneity and bounded rationality on market anomalies in price formation. We establish a heterogeneous agent model under prospect theory, where asset price fluctuation is determined by evolutionary dynamics system embedded in the model. Specifically, our model includes three types of expectation schemes related to different decision-making progresses: the rational scheme, the emotional scheme and the noise scheme. Agents under emotional scheme make decisions based on the cumulative prospect theory framework, which makes psychological factor tractable. By analyzing the distribution of return rate under selected parameters, we show that the model return shares the same pattern as those of SSE 50 Index. Furthermore, we investigate the factors of option implied volatility smile based on dynamic system, and the results suggest that the smile anomaly may be associated with the tail risk of the underlying asset's return distribution, which is effected by market stability and psychological factors.</p>
Does the presence of the biological control agent, Hypena opulenta (Lepidoptera: Erebidae) on Swallow-Worts deter Monarch oviposition?
<p>Abstract Invasive black and pale swallow-worts (Vincetoxicum nigrum (L.) Moench, and Vincetoxicum rossicum Kelopow), which are related to milkweeds, can act as ecological traps for monarch butterflies (Danaus plexippus L. (Lepidoptera: Nymphalidae)) as they lay eggs on them that fail to develop. A recently approved biological control agent against swallow-worts, Hypena opulenta Christoph, occupies the same feeding guild on swallow-worts as monarch larvae and could be perceived as a competitor to monarchs. We tested how the presence of this defoliating moth on swallow-worts may influence monarch host selection. In a two-year field experiment, we placed pale swallow-wort plants that were either infested with H. opulenta or noninfested as well as common milkweed (Asclepias syriaca L.), into monarch habitats to assess oviposition rates. In the laboratory, monarchs were either given a choice or not between milkweeds and black swallow-worts with or without H. opulenta. While monarchs strongly preferred common milkweed in the field, up to 25% of the eggs we observed were laid on pale swallow-wort, without preference for swallow-wort with (10.7%) or without (14.3%) H. opulenta. In laboratory choice and no-choice tests, monarchs did not lay any eggs on black swallow-wort, likely because of the long-term laboratory rearing on common milkweeds. Our results confirm that pale swallow-wort may act as an oviposition sink to monarchs in Michigan as well. Since the biological control program is still in its infancy, the nature of interactions between monarchs and H. opulenta may change as the biocontrol agent becomes more widespread.</p>
Data from: Space and rank: infants expect agents in higher position to be socially dominant
<p>Social hierarchies exist throughout the animal kingdom, including among humans. Our daily interactions inevitably reflect social dominance relationships between individuals. How do we mentally represent such concepts? Studies show that social dominance is represented as vertical space (i.e., high=<span class="il">dominant</span>) by adults and preschool children, suggesting a space-dominance representational link in social cognition. However, little is known about its early development. Here, we present experimental evidence that 12- to 16-month-old <span class="il">infants</span> <span class="il">expect</span> <span class="il">agents</span> presented in a <span class="il">higher</span> spatial <span class="il">position</span> to be more <span class="il">socially</span> <span class="il">dominant</span> than <span class="il">agents</span> in a lower spatial <span class="il">position</span>. After <span class="il">infants</span> repeatedly watched the <span class="il">higher</span> and lower <span class="il">agents</span> being presented simultaneously, they looked longer at the screen when the lower agent subsequently outcompeted the <span class="il">higher</span> agent in securing a reward object, suggesting that this outcome violated their <span class="il">higher</span>-is-<span class="il">dominant</span> expectation. We first manipulated <span class="il">agents</span>' positions by presenting them on a podium (Experiment 1). Then we presented the <span class="il">agents</span> on a double-decker stand to make their spatial positions directly above or below each other (Experiment 2), and we replicated the results (Experiment 3). This research demonstrates that <span class="il">infants</span> <span class="il">expect</span> spatially <span class="il">higher</span>-positioned <span class="il">agents</span> to be <span class="il">socially</span> <span class="il">dominant</span>, suggesting deep roots of the space-dominance link in ontogeny.</p>
Registro discursivo de agentes que intervinieron en atentado subversivo en el Perú
<p>Esta es una ponencia expuesta y subida en formato audiovisual.</p>
Development of a mass production method for the smut fungus Doassansia niesslii , a potential biological control agent of the invasive weed Butomus umbellatus (IC_MScEA_Final project data)
<p>Data of my MSc final project (MSc Ecological Applications, Imperial College London). Student ID: 02175995.</p>
FIGURES 7–12 in A survey for potential biological control agents of Pereskia aculeata Miller (Cactaceae) in Brazil reveals two new species of Horismenus Walker (Hymenoptera: Eulophidae)
FIGURES 7–12. Horismenus elisae, female, paratypes: 7, head, frontal, with detail of malar sulcus (black arrow); 8, vertex, showing area of raised reticulation running from frontal suture to anterior ocellus (black arrows); 9, antenna, lateral; 10, mesosoma, dorsal, showing area of raised reticulation; 11, propodeum, showing anterolateral foveae with rounded sides almost reaching plicae (black arrow); 12, first gastral tergite, dorsal, showing a reticulate band close to posterior margin (black arrows) and petiole with a median carina (white arrow). Scale bars: 7–8, 10, 12 = 100 µm; 9, 11 = 50 µm.
FIGURES 13–18 in A survey for potential biological control agents of Pereskia aculeata Miller (Cactaceae) in Brazil reveals two new species of Horismenus Walker (Hymenoptera: Eulophidae)
FIGURES 13–18. Horismenus vitorinoi, female, paratypes: 13, head, frontal, with detail of malar sulcus (black arrow); 14, vertex, indicating area of raised reticulation running from frontal suture to anterior ocellus (black arrows); 15, antenna, lateral; 16, mesosoma, dorsal, showing area of raised reticulation; 17, propodeum, with detail of anterolateral foveae with rounded sides reaching plicae (black arrow); 18, first gastral tergite, dorsal, with detail of reticulation in posterior one–third (black arrows) and petiole with a median carina (white arrow). Scale bars: 13–14, 18 = 100 µm; 15, 17 = 50 mm; 16 = 200 µm.
FIGURES 1–6. Horismenus spp., females. 1–2, H in A survey for potential biological control agents of Pereskia aculeata Miller (Cactaceae) in Brazil reveals two new species of Horismenus Walker (Hymenoptera: Eulophidae)
FIGURES 1–6. Horismenus spp., females. 1–2, H. elisae, paratype: 1, habitus, lateral; 2, mesosoma, dorsal. 3–4, H. vitorinoi, paratype: 3, habitus, lateral; 4, mesosoma, dorsal. 5, H. elisae, paratype, vertex, showing two black areas (white arrows). 6, H. vitorinoi, paratype, vertex, showing two black areas (white arrows). Scale bars: 1, 3 = 500 µm; 2, 4–6 = 100 µm.
Dataset for publication "Comparative Analysis of the Pharmacokinetics of a New Migliol-Based Antiviral Agent Campecin and Investigation of Degradation Mechanisms"
Open the record for dataset details and reuse information.
Testing sunfish as zooplankton control agents for wastewater-algal cultivation: Nutrient, invertebrate, and algae data
<p>Wastewater-algal cultivation is a promising means of recovering polluting nutrients and converting them into useful algal biomass. However, open raceway ponds used for wastewater-algal cultivation are prone to contamination by zooplankton, which often severely reduces algal yields. We conducted an experiment to test the potential for bluegill sunfish to improve yields by suppressing zooplankton. We used cages to protect the fish from the paddlewheels in 230-L raceway ponds. In nine raceways, the cage surrounded the paddlewheel and fish, if present, had access to the remaining tank area. In another nine raceways, the cage was on the opposite side from the paddlewheel, and contained the fish when present. Six fishless controls were implemented across both cage placements. We filled the raceways with synthetic wastewater and local plankton, and one juvenile bluefill sunfish (aside from controls). After 19 days we sampled dissolved nutrients, algae, and invertebrates in each raceway. This dataset consists of four csv files containing data from laboratory analyses of these samples. The data include dissolved nutrients, algal dry weights, zooplankton and benthic invertebrate counts, algal biovolumes, and algal nutrient content for each of the 18 raceway ponds.</p>
Intravital microscopy contrasting agents for application - Database
<p>This is a set of databases containing published use of substances which can be applied to rodents in order to contrast specific structures for optical intravital microscopy.</p> <p>The first dataset contains applied final dosages, calculated for 25g-mice, as well as the orignally published amounts, concentrations and application routes of agents directly applied into the target organism.</p> <p>The second dataset contains dosages and cell numbers for the external contrastation and subsequent application of cells into the target organism.</p> <p>Filtering possible for organ system and contrasted structure/cell type in both datasets, substance class and fluorescent detection windows can be filtered in the dataset for direct agent application.</p> <p>Source publications are listed by DOI.</p> <p> </p>
Supplementary Data for "Molecular Docking, ADMET, Synthesis and Evaluation of New Indomethacin Hydrazide Derivatives as Antibacterial Agents"
<p>This supplementary data file contains additional information supporting the findings presented in the research article "<strong>Molecular Docking, ADMET, Synthesis and Evaluation of New Indomethacin Hydrazide Derivatives as Antibacterial Agents</strong>". The data includes:</p> <ul> <li>Infrared (IR) spectra of the synthesized compounds</li> <li>Proton nuclear magnetic resonance (H NMR) spectra of the synthesized compounds</li> <li>Minimum inhibitory concentration (MIC) and zone of inhibition (ZOI) data for the synthesized compounds against tested microorganisms</li> </ul>
Degradation of Total Petroleum Hydrocarbon (TPH) from Oil Sludge with Composting as Bulking Agent and Dosage Variation of Liquid Organic Fertilizer
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
Teachers as creative agents: How self-beliefs and self-regulation drive teachers' creative activity (Study 1, Dataset)
<p>Dataset for: Zielińska, A., Lebuda, I., Gop, A., & Karwowski, M. (2024, Study 1). Teachers as creative agents: How self-beliefs and self-regulation drive teachers’ creative activity. <em>Contemporary Educational Psychology, 77</em>, 102267. https://doi.org/10.1016/j.cedpsych.2024.102267</p>
Simulation results of the agent-based model of urban insurgence with the effect of gathering sites and Koopman mode analysis
<p>The data set contains the simulation results of the agent-based model of urban insurgence with the effect of gathering sites and Koopman mode analysis. Some details on the agent-based model (without gathering sites) can be found in [Maria Fonoberova, Vladimir A. Fonoberov, Igor Mezic, Jadranka Mezic and P. Jeffrey Brantingham, Nonlinear Dynamics of Crime and Violence in Urban Settings, Journal of Artificial Societies and Social Simulation, 15(1), 2, http://jasss.soc.surrey.ac.uk/15/1/2.html, DOI: 10.18564/jasss.1921].</p> <p>Files in folder "0bar" are related to the case with 0 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "1bar" are related to the case with 1 preferential gathering site.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and average distance from the preferential gathering site. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "2bars" are related to the case with 2 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars2.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "3bars" are related to the case with 3 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars3.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "4bars" are related to the case with 4 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars4.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "5bars" are related to the case with 5 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars5.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "10bars" are related to the case with 10 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars10.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "20bars" are related to the case with 20 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars20.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "30bars" are related to the case with 30 preferential gathering sites.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars30.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "prob25" are related to the case with 5 preferential gathering sites and 25% probability of agents moving towards them.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars5_prob0.25.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "prob50" are related to the case with 5 preferential gathering sites and 50% probability of agents moving towards them.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars5_prob0.50.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "prob75" are related to the case with 5 preferential gathering sites and 75% probability of agents moving towards them.</p> <p>Each file with name starting with Actives has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens. The last value is not used. These files are provided for lattice sizes from 100x100 to 600x600 and for different random seeds.</p> <p>Each file with name starting with Day for each non-intimidated agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship, total number of days of being active and -1. Last two values are not used. If an agent is LEO, then last four values are -1. These files are provided for each time step of the simulation, each lattice size and the corresponding random seed used. For example, file "Day_10000_100_111_bars5_prob0.75.txt" provides information on the lattice situation at time step 10000 with lattice size 100 and random seed 111.</p> <p>Files in folder "KMD" have detailed information for the case with 3 preferetial gathering sites and lattice size 200x200.</p> <p>File "2016_Actives_LD200_seed111_bars3.txt" has one row for each time step of the simulation and has columns that are: number of active citizens, number of intimidated citizens, number of LEOs, number of non-intimidated citizens.</p> <p>Each file with name starting with Day for each active / intimidated (jailed) / non-intimidated (notjailed) agent has his/her x-coordinate, y-coordinate, agent's state, agent's risk aversion, agent's hardship. Each file with name starting with Day for each LEO (cop) has his/her x-coordinate, y-coordinate, agent's state and -1, -1, -1. Last 3 entrees are not used. These files are provided for each time step of the simulation.</p>
The process of HDAC11 Assay Development: Effect of reducing agent
<p>An effect of adding reducing agent on the HDAC11 activity was monitored.</p>
FIGURE 1 in A new species of Aculus mite (Acari: Eriophyidae), a potential biocontrol agent for Australian swamp stonecrop, Crassula helmsii (Crassulaceae)
FIGURE 1. Schematic drawings of Aculus crassulae sp. nov. AD. Dorsal view of anterior body region; AL. Lateral view of anterior body region; CG. Female coxigenital region; DPM. Dorsal vew of posterior opisthosoma; em. Empodium; GM. Male genital region; IG. Internal female genitalia; LO. Lateral view of annuli; PM. Lateral view of posterior opisthosoma; ω. Solenidion.
FIGURE 5 in A new species of Aculus mite (Acari: Eriophyidae), a potential biocontrol agent for Australian swamp stonecrop, Crassula helmsii (Crassulaceae)
FIGURE 5. Damage symptoms caused by Aculus crassulae sp. nov. A. Leaf stem of Crassula helmsii showing infected buds and B. Enlarged image of the mites inhabiting a deformed leaf bud. Scale bar = 5 mm -A; 2 mm -B.
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.