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518 results for “useful plants”
Figure 1 in Colotis lais (Butler, 1876) and Colotis euippe omphale (Godart, [1819]) use Cadaba aphylla (Thunb.) Wild LC as a host-plant at Tswalu Kalahari, Northern Cape Province, South Africa)
Figure 1 – Freshly emerged adult male of Colotis lais reared from a larva collected on 19 December 2021 on a Cadaba aphylla shrub, north of the Dedeben Research Centre, Tswalu Kalahari, South Africa. The CRG reference number for this rearing is RFT21H78. Photo: R.F. Terblanche.
Data used in manuscript Carbon sequestration potential of street tree plantings in Helsinki
<p>Data and model runs used in manuscript "Carbon sequestration potential of street tree plantings in Helsinki". This data set includes model runs for the Surface Urban Energy and Water balance Scheme (SUEWS) and soil carbon model Yasso.</p> <p><br> The data files are:</p> <p><strong>Met_Gapfilling</strong></p> <ul> <li>ConvertMeteorologyInput.m (MATLAB) is the main file and functions gapfilling.m (with other measurements) and gapfillingfill.m (with interpolations) are used in the gap filling</li> <li>Includes files for meteorological measurement data <ul> <li>Airport: Data from Helsinki-Vantaa airport; airportdata.m, where data is cleaned</li> <li>Precipitation: Data from multiple locations; Pres_Gap.m for gap filling precipitation and function PrecipitationGap.m</li> <li>Roof: Data from rooftop</li> <li>SMEARIII: Monthly meteorological data from Kumpula (2003-2016)</li> </ul> </li> <li>SUEWS_met file for the final gap filled meteorological files for SUEWS </li> </ul> <p><strong>Fits</strong></p> <ul> <li>Includes FitCO2_parameter.m for fitting CO2 parameters for SUEWS</li> <li>Includes functions Pho6.m and Resp0.m that have the function forms</li> <li>Includes data files for measurement data <ul> <li>CO2Data: Canopy photosynthesis and canopy respiration estimated with SPP model (KumpulaX.out for Tilia site and Kumpula2X.out for Alnus site)</li> <li>Met_2016: Meteorology from Kumpula for June to August in 2016</li> <li>SWCdata: Soil water content from two streets and three soil types</li> </ul> </li> </ul> <p><strong>ModelRuns</strong></p> <ul> <li>SUEWS model runs separately for Alnus and Tilia sites <ul> <li>Includes input and output files and model codes</li> <li>Alnus site includes both the Baserun and Finalrun</li> </ul> </li> <li>Yasso model runs <ul> <li>Model run in file yasso.f90</li> <li>Output files: DecRate...txt includes three soil types and values for each month from 2002 to 2016</li> <li>Yasso_meteorology_month.m creates meteorological input files for Yasso (Clim_month_xx.txt) using meteorology from SUEWS</li> <li>Lifetimerun: 30 year simulations that includes estimations for leaves and pruned branches</li> </ul> </li> </ul> <p><strong>FigCodes</strong></p> <ul> <li>Includes MATLAB codes for figures and statistics</li> <li>Includes measurement data for CO2, sap flow and SWC</li> </ul> <p> </p>
Data for: Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of in vitro and in vivo bioassays
<p>This repository contains research data linked to the following publication: Kienle, C., Werner, I., Fischer, S., Lüthi, C., Schifferli, A., Besselink, H., Langer, M., McArdell, C.S. and Vermeirssen, E.L.M. 2022. Evaluation of a full-scale wastewater treatment plant with ozonation and different post-treatments using a broad range of <em>in vitro</em> and <em>in vivo</em> bioassays. Water Research, 118084. https://doi.org/10.1016/j.watres.2022.118084</p> <p>Abstract: Micropollutants present in the effluent of wastewater treatment plants (WWTPs) after biological treatment are largely eliminated by effective advanced technologies such as ozonation. Discharge of contaminants into freshwater ecosystems can thus be minimized, while simultaneously protecting drinking water resources. However, ozonation can lead to reactive and potentially toxic transformation products. To remove these, the Swiss Federal Office for the Environment recommends additional "post-treatment" of ozonated WWTP effluent using sand filtration, but other treatments may be similarly effective. In this study, 48 h composite wastewater samples were collected before and after full-scale ozonation, and after post-treatments (full-scale sand filtration, pilot-scale fresh and pre-loaded granular activated carbon, and fixed and moving beds). Ecotoxicological tests were performed to quantify the changes in water quality following different treatment steps. These included standard <em>in vitro</em> bioassays for the detection of endocrine, genotoxic and mutagenic effects, as well as toxicity to green algae and bacteria, and flow-through <em>in vivo</em> bioassays using oligochaetes and early life stages of rainbow trout.</p> <p>Results show that ozonation reduced a number of ecotoxicological effects of biologically treated wastewater by 66 - 93 %: It improved growth and photosynthesis of green algae, decreased toxicity to luminescent bacteria, reduced concentrations of hormonally active contaminants and significantly changed expression of biomarker genes in rainbow trout liver. Bioassay results showed that ozonation did not produce problematic levels of reaction products overall. Small increases in toxicity observed in a few samples were reduced or eliminated by post-treatments. However, only relatively fresh granular activated carbon (analyzed at 13,000 - 20,000 bed volumes) significantly reduced effects additionally (by up to 66 %) compared to ozonation alone. Inhibition of algal photosynthesis, rainbow trout liver histopathology and biomarker gene expression proved to be sufficiently sensitive endpoints to detect the change in water quality achieved by post-treatment.</p>
Viroplant Project - Microcosm studies on the effect of bacteriophages used as plant protection products on soil microbial communities
<p>This file contains the description, data and DNA analyses on the effect of bacteriophages with a potential to be used as plant protecction products on the structure and function of soil microbial communities. The objective was to evaluate two different microcsom incubation systems with phages and microbial cells from soil, or soil itself and to analyses in a time dependent manner how the phages affect the natural soil microbiomes. The microbial communities were quantified with qPCR and their diversity analyzed with PCR amplified 16S rRNA gene sequences. Bioinformatic analyses were used to evaluate microbial community responses</p>
ARCHIMED-φ simulation files for the simulation of Design A from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal
<p>Input files for the simulation of Design A in ARCHIMED-φ from the article "When architectural plasticity fails to counter the light competition imposed by planting design: an in silico approach using a functional-structural model of oil palm"; in silico Plants journal.</p> <p>See https://archimed-platform.github.io/archimed-phys-user-doc/ for more details on the model.</p> <p>Make a simulation by opening a terminal at the root of the folder and type: `java -jar .\archimed-phys.jar .\DesignA_MockUpA_seed1_MAP_72.yml`.</p>
Genetic structure in patchy populations of a candidate foundation plant: a case study of Leymus chinensis using genetic and clonal diversity
<p><strong>PREMISE</strong>: The distribution of genetic diversity on the landscape has critical ecological and evolutionary implications. This may be especially the case on a local scale for foundation plant species since they create and define ecological communities, contributing disproportionately to ecosystem function.</p> <p><strong>METHODS</strong>: We examined the distribution of genetic diversity and clones, which we defined first as unique multilocus genotypes (MLG), and then by grouping similar MLGs into multilocus lineages (MLL). We used 186 markers from inter-simple sequence repeats (ISSR) across 358 ramets from 13 patches of the foundation grass <em>Leymus chinensis</em>. We examined the relationship between genetic and clonal diversities, their variation with patch-size, and the effect of the number of markers used to evaluate genetic diversity and structure in this species.</p> <p><strong>RESULTS</strong>: Every ramet had a unique MLG. Almost all patches consisted of individuals belonging to a single MLL. We confirmed this with a clustering algorithm to group related genotypes. The predominance of a single lineage within each patch could be the result of the accumulation of somatic mutations, limited dispersal, some sexual reproduction with partners mainly restricted to the same patch, or a combination of all three.</p> <p><strong>CONCLUSIONS</strong>: We found strong genetic structure among patches of <em>L. chinensis</em>. Consistent with previous work on the species, the clustering of similar genotypes within patches suggests that clonal reproduction combined with somatic mutation, limited dispersal, and some degree of sexual reproduction among neighbors causes individuals within a patch to be more closely related than among patches.</p>
Using soil eDNA for plant diversity assessments
<p>This data sets corresponds to a publication in Methods in Ecology and Evolution titled: <strong>Plant biodiversity assessment through soil eDNA reflects temporal and local diversity</strong></p> <p>In August 2018, a single soil eDNA sample was collected from the centre of each permanent plot (1m2) in the Solhomfjell Forest Reserve stablished by the Sommerfeltia program. The soil eDNA samples were stored in individual plastic bags for transportation to the lab and stored at -20 °C prior to freeze-drying under vacuum. Each soil eDNA sample was separately homogenized with ceramic beads and one gram was used for eDNA extraction. The latter was done in five rounds of two steps: (1) CTAB/chloroform pre-treatment to increase the separation of the organic phase and (2) aqueous phase and using the E.Z.N.A. soil DNA kit following the manufacturer’s protocol (Omega Bio-tek, Norcross, Georgia, USA). The chloroplast marker trnL (UAA) intron P6 loop was chosen as its short sequence can yield amplification of old DNA material degraded in eDNA samples. This marker was amplified for each sample with the g and h primers by PCR, using three technical replicates (Taberlet et al. 2007; 5'-GGGCAATCCTGAGCCAA-3', 5'-CCATTGAGTCTCTGCACCTATC-3'). Forward and reverse primers were tagged with a unique 12 bp oligonucleotide on the 5’ end (Fadrosh et al. 2014). Unique combinations of tagged primers were set up in panels for each PCR reaction for a total of 309 samples (100 samples with 3 PCR replicates each, 5 extractions blanks and 4 PCR negatives). The PCR negatives had no DNA template and were placed on the 96th well position in each panel. Composition of PCR reactions, final volumes and number of cycles can be found in Supporting Information Data S1. The PCR products were run on a 2% agarose gel, and the amplicon concentrations were measured via band intensity using ImageLab software (Bio-Rad, California, USA). The lowest concentration (μM) available for all PCR products and its relative volume was identified and the relative concentrations of the PCR products were adjusted to this same concentration. Amplicons were pooled in one library using a Biomek 4000 automated liquid handler (Beckman Coulter Life Sciences, Indianapolis, Indiana, USA). The library was cleaned using AMPure XP reagent beads (Beckman Coulter Life Sciences, Indianapolis, Indiana, USA). The length for all amplicons in the library was determined using a Fragment Analyzer (Agilent Technologies, Santa Clara, California, USA). The library was sequenced on an Illumina MiSeq platform with 150 bp paired-end reads (Illumina Inc., San Diego, California, USA).</p> <p>Sequence data was analyzed and curated using OBITools 2 (Boyer et al. 2016) following the wolf tutorial with adaptations for demultiplexing dual indexes from QIIME2 (Caporaso et al. 2010). Sequences were retained with both indexes for dereplication for further analysis. Similar sequences were clustered with obiclean (Boyer et al. 2016) only when the read count of the less abundant sequence was below 5% of the most abundant sequence. To reduce multiple identifications of the same sequence, taxonomic assignment of dereplicated and denoised sequences was done by matching to three reference sequences databases containing: (i) only taxa registered in the local Solholmfjell reference library; (ii) the complete arctic boreal database for vascular plants and bryophytes (Sønstebø et al.2010; Willerslev et al. 2014; Soininen et al. 2015); and (iii) taxa available in the EMBL database (downloaded on 7/02/2020) filtered to sequences with trnL (UUA) intron g-h primers using ecoPCR tool from OBITools (Boyer et al. 2016). Resulting identifications from the three databases were merged by sequence and duplicates were eliminated giving priority to reference databases (i), (ii), and (iii) in that order. To minimize erroneous taxonomic assignments, only taxa with a 100% match to a reference sequence were retained. We observed that below this threshold, sequences remained without a taxonomic rank assigned. Further, assigned taxa names were changed to the lowest taxonomic rank possible with trnL (UUA) intron and thus are identical to those registered in vegetation surveys. When different sequences were identified with identical taxa names, a unique entry was retained and the read counts within plots and replicates were summed. Read counts were averaged across all samples and negative controls (extraction + PCR).</p> <p>All analyses are plot-based, and coded using R v 1.4.17 (R Core Team, 2019) and with packages listed in the code. Separate analyses are made for vascular plants and bryophytes, and/or for spruce and pine data subsets, or combinations thereof, when relevant.</p>
Data from: Plant richness, land use and temperature differently shape invertebrate leaf-chewing herbivory on plant functional groups
<p class="MsoNormal">Nutrient demands of leaf-chewing invertebrate herbivores change with temperature, which causes shifts in herbivores' diets. Temperature may act differently on herbivore species, so that factors shaping herbivore species richness may modulate temperature effects on invertebrate herbivory among plant functional groups with different nutrient composition (C:N ratio low to high: legumes, non-leguminous forbs, grasses). Global warming urges a deeper understanding of temperature effects on herbivory among plant functional groups in different habitats and landscapes. This study obtained measures on proportional leaf area loss to leaf-chewing invertebrate herbivores ('herbivory') on three plant functional groups on 80 plots of open herbaceous vegetation adjacent to different habitat types (forest, grassland, arable field, settlement) along climate and land-use gradients in Bavaria, Germany. Herbivory was analysed with regard to habitat characteristics (habitat type, plant richness at species and family level, local mean temperature), landscape characteristics (proportion of grassland, landscape diversity; 0.2–3.0-km), climate (multi-annual mean temperature, 'MAT') and interactive effects of plant functional group, temperature and habitat or landscape characteristics. Herbivory on plant functional groups changed differently in response to plant richness (family level only) and habitat type, but not to differences in landscape characteristics and temperature – only on grassland plots, multi-annual mean temperature differentially affected herbivory among plant functional groups. Thus, abiotic and biotic factors can differently affect leaf-chewing herbivory on plant functional groups. Under current conditions, plant richness and habitat type more strongly affected herbivory among legumes, forbs and grasses than temperature and landscape-scale land use.</p>
Satellite-derived chlorophyll-a concentrations for Western Water Treatment Plant (Melbourne, Australia) using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery
<p>This dataset contains satellite-derived chlorophyll-a data of the Western Water Treatment Plant (Melbourne, Australia) for the period 21 Mar. 2013 - 01 Feb. 2021. Chlorophyll-a concentrations have been calculated using Mixture Density Networks and Sentinel-2 and Landsat 8 imagery.</p> <p>Mixture Density Networks are a class of neural networks that tackle the inverse problem by modelling the multimodal distribution of target variables using a mixture of Gaussians. For more information, please refer to the following:</p> <ul> <li>Pahlevan, N., Smith, B., Alikas, K., Anstee, J., et al. (2022). Simultaneous retrieval of selected optical water quality indicators from Landsat-8, Sentinel-2, and Sentinel-3. <em>Remote Sensing of Environment, 270</em>, 112860</li> <li>Smith, B., Pahlevan, N., Schalles, J., et al. (2021). A Chlorophyll-a Algorithm for Landsat-8 Based on Mixture Density Networks. <em>Frontiers in Remote Sensing, 1</em></li> <li>Pahlevan, N., Smith, B., Schalles, J., et al. (2020). Seamless retrievals of chlorophyll-a from Sentinel-2 (MSI) and Sentinel-3 (OLCI) in inland and coastal waters: A machine-learning approach. <em>Remote Sensing of Environment, 240</em>, 111604</li> </ul>
Text-fig. 4. Lepidocarpon cone in the process of disaggregating as part of the dispersal strategy of the plants. When preserved isolated, the sporophylls are assigned to the fossil-genus Lepidostrobophyllum. Refigured from Thomas (1981). Grovesend Formation (upper Asrturian – lower Moscovian), Kilmersdon Tip, Radstock Coalfield, UK; Natural History Museum (London) specimen V.60431. in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 4. Lepidocarpon cone in the process of disaggregating as part of the dispersal strategy of the plants. When preserved isolated, the sporophylls are assigned to the fossil-genus Lepidostrobophyllum. Refigured from Thomas (1981). Grovesend Formation (upper Asrturian – lower Moscovian), Kilmersdon Tip, Radstock Coalfield, UK; Natural History Museum (London) specimen V.60431.
Text-fig. 2. The distinction between fossil plants (a) and plant fossils (b). a: Reconstruction of a late Carboniferous arborescent lycopsid, often referred to as the Lepidodendron-tree; artwork by A. Townsend (formerly of National Museum Wales, Cardiff, UK; see Townsend et al. 1998); b: Lepidodendron aculeatum STERNB.; Middle Coal Measures Formation (Duckmantian – upper Bashkirian), Brymbo, near Wrexham, UK (see Thomas et al. 2020: fig. 16b); National Museum Wales specimen 2013.43G.88. in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 2. The distinction between fossil plants (a) and plant fossils (b). a: Reconstruction of a late Carboniferous arborescent lycopsid, often referred to as the Lepidodendron-tree; artwork by A. Townsend (formerly of National Museum Wales, Cardiff, UK; see Townsend et al. 1998); b: Lepidodendron aculeatum STERNB.; Middle Coal Measures Formation (Duckmantian – upper Bashkirian), Brymbo, near Wrexham, UK (see Thomas et al. 2020: fig. 16b); National Museum Wales specimen 2013.43G.88.
Text-fig. 1. The pioneers of scientific palaeobotany whose ideas laid the foundations of how we now name plant fossil-taxa. a: Ernst von Schlotheim (1764 – 1821); b: Kaspar Maria von Sternberg (1761 – 1837), reproduced by permission from J. Kvaček (National Museum, Prague); c: Adolphe Brongniart (1801 – 1876). Adapted from Cleal and Thomas (2019: fig. 2.1). in Naming Of Parts: The Use Of Fossil-Taxa In Palaeobotany
Text-fig. 1. The pioneers of scientific palaeobotany whose ideas laid the foundations of how we now name plant fossil-taxa. a: Ernst von Schlotheim (1764 – 1821); b: Kaspar Maria von Sternberg (1761 – 1837), reproduced by permission from J. Kvaček (National Museum, Prague); c: Adolphe Brongniart (1801 – 1876). Adapted from Cleal and Thomas (2019: fig. 2.1).
Figure 1 in Use of homeophathic preparations for red spider mite, Tetranychus urticae (Acari: Tetranychidae) control in strawberry plants
Figure 1. Degree of a) Incidence, and b) severity caused by T. urticae in strawberry plants 30 and 60 days after applying the treatments: Distilled water (Ctl); 6 and 30 CH Strawberry leaves homeopathic (Agroh); 6 and 30 CH Bovista (Bov); 6 and 30 CH Belladonna (Bellad); 6 and 30 CH Arnica (Árni) and 6 and 30 CH Ferrum sulphuricum (FS). Treatments with the same letter are not significantly different between them (p <0.05) (n = 8).
Supporting data sets for "Estimating Carbon Fixation of Plant Organs for Afforestation Monitoring using a Process-based Ecosystem Model and Ecophysiological Parameter Optimization". (the survey of tree breast diameter and tree height in 11-year old Eucommia ulmoides plantation, values of simulation results used in figures and tables.)
<p>Supporting data sets for Miyauchi et al., Ecology and Evolution, 2019 (accepted).</p> <p>The files store: </p> <p>(1) The survey of tree breast diameter and tree height in <em>Eucommia ulmoides</em> plantation<em>.</em> The ring and stem analysis and dry weight of seven harvested sample trees in the plantation.</p> <p>(2) Values of optimization result used fig.7.</p> <p>(3) Values of prediction result used fig.8. and table 4.</p> <p>(4) Values of optimized parameters by optimization methods, parameter range and constrain.</p>
Mimicking Natural Deterrent Strategies in Plants using Adhesive Spheres
<p>With a continuous increase in world population and food production, chemical pesticide use is growing accordingly, yet unsustainably. As chemical pesticides are harmful to the environment and pests develop resistance, sustainable and effective pesticide alternatives are needed. Inspired by nature, we mimic one defense strategy of plants, glandular trichomes, to shift away from using chemical pesticides by moving towards a physical immobilization strategy via adhesive particles. Through a controlled oxidation of a biobased starting material, triglyceride oils, an adhesive material is created while monitoring the reactive intermediates. After being milled into particles, nanoindentation shows these particles to be adhesive even at low contact forces. A suspension of particles is then sprayed onto chrysanthemum leaves and found to be highly effective at immobilizing a target pest, thrips, \textit{Frankliniella occidentalis}. Typical of small arthropod pests, thrips cause crop damage predominantly through virus transfer, which is prevented by their immobilization. We show that through this scalable fabrication process, biosourced materials can be used to create an effective, sustainable physical pesticide.</p>
Figure 4 in Use of commercial biostimulator in the ex situ cultivation of a native medicinal plant of Cerrado: Campomanesia adamantium
Figure 4. Two-dimensional graphic of the production data, chemical attributes of substrate, macro and micronutrients of dry mass of aerial parts in different doses of biostimulator. PC1 and PC2 correspond to the Principal Components Leaf dry mass (LDM); Stem dry mass (SDM); Total dry mass (TDM); Leaf area (LA); Dickson quality index (DQI); Root length (RL); Potential of hydrogen (pH); Organic matter (OM); Sum of bases (SB); Cation exchange capacity (CEC); Base saturation (V%); Phosphorus of substrate (P); Calcium of substrate (Ca); Calcium of root (R Ca); Magnesium of substrate (Mg); Copper of substrate (Cu); Copper of shoot (AP Cu); Copper of root (R Cu); Manganese of substrate (Mn); Iron of substrate (Fe); Iron of shoot (AP Fe); Zinc of substrate (Zn); Zinc of shoot (AP Zn) and Zinc of root (R Zn).
Figure 1 in Use of commercial biostimulator in the ex situ cultivation of a native medicinal plant of Cerrado: Campomanesia adamantium
Figure 1. Two-dimensional graphic of the chemical and microbiological attributes in different doses of biostimulator. PC1 and PC2 correspond to the Principal Components Potential of hydrogen (pH); Organic matter (OM); Phosphorus (P); Calcium (Ca); Magnesium (Mg); Copper (Cu); Manganese (Mn); Iron (Fe); Zinc (Zn); Sum of bases (SB); Cation exchange capacity (CEC); Base saturation (V%); microbial biomass carbon (Cmic); Basal respiration (BSR); Metabolic quocient (qCO ).
Figure 3 in Use of commercial biostimulator in the ex situ cultivation of a native medicinal plant of Cerrado: Campomanesia adamantium
Figure 3. Number of leaves of 'guavira' plants according to doses of the biostimulator and epochs of evaluation, * indicates significant difference (p <0.05).
Figure 2 in Use of commercial biostimulator in the ex situ cultivation of a native medicinal plant of Cerrado: Campomanesia adamantium
Figure 2. Photosynthetic activity of 'guavira' plants. A. Photochemical efficiency of photosystem II (Fv/Fm); B. absorbed energy conversion efficiency (F v /F 0); C. chlorophyll index and D. chlorophyll b of 'guavira' plants grown on substrate with different doses of biostimulator, *indicates significant difference (p <0.05) between biostimulator.
Figure 5. A phylogenetic tree was generated using the neighbor-joining method which shows the genetic relationship between C. sphaerospermum 2 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 5. A phylogenetic tree was generated using the neighbor-joining method which shows the genetic relationship between C. sphaerospermum 2 (as indicated in red circle) and the other C. sphaerospermum isolates deposited in GenBank (NCBI)
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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.