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171 results for “plant identification”
Plant image identification application demonstrates high accuracy in Northern Europe dataset
<p><strong>Images and data for the study "Plant image identification application demonstrates high accuracy in Northern Europe"</strong></p> <p><strong>Details: Jaak Pärtel, Meelis Pärtel, Jana Wäldchen, Plant image identification application demonstrates high accuracy in Northern Europe, <em>AoB PLANTS</em>, Volume 13, Issue 4, August 2021, plab050, <a href="https://doi.org/10.1093/aobpla/plab050">https://doi.org/10.1093/aobpla/plab050</a></strong></p> <p>The data table displays Flora Incognita's identification results together with species and observations characteristics. All (3199) used images are included.</p> <p>The study was conducted in two parts: database and field study.</p> <p>Database study images have been taken from eBiodiversity database (https://elurikkus.ee/en) under Creative Commons Attribution 4.0 International (CC BY 4.0) licence (https://creativecommons.org/licenses/by/4.0/). Please cite the original source for the images as well when using the dataset.</p> <p>Field study images were taken by Jaak Pärtel in 2020 in field conditions from different habitats across Estonia.</p>
Genome-wide identification of cell-surface and intracellular immune receptors in 350 plant species
<p>Here we identified cell-surface (LRR-RLKs, LRR-RLPs, LysM-RLKs and LysM-RLPs) and intracellular immune receptors (NB-ARCs) from the genomes of 350 plant species. </p> <p> </p> <p>Zip file contains:</p> <p>Folder 'Immune_receptor_sequences' - FASTA files of the identified LRR-RLPs, Lys-RLKs, LysM-RLPs and NB-ARCs.</p> <p>Folder 'RLK_sequences' - FASTA files of the identified LRR-RLKs (all and 20 individual subgroups).</p> <p>Folder 'RLK_trees' - Phylogenetic TREE files of the identified LRR-RLKs (all and 20 individual subgroups); classified according to their kinase domains.</p> <p>238.species - Phylogenetic tree of the 238 plant species used in the analyses (taken from <a href="https://doi.org/10.1093/jpe/rtv047">https://doi.org/10.1093/jpe/rtv047</a>).</p> <p>350.species - Phylogenetic tree of the 350 plant species used in the analyses.</p> <p>simple.to.original.ids- Translator file for the original ID of each gene. </p> <p> </p>
Supplementary material: Efficient in vivo screening method for the identification of C4 photosynthesis inhibitors based on cell suspensions of the single-cell C4 plant Bienertia sinuspersici
<p>Data described in Minges et al. (2019) Efficient <em>in vivo</em> screening method for the identification of C<sub>4</sub> photosynthesis inhibitors based on cell suspensions of the single-cell C<sub>4</sub> plant <em>Bienertia sinuspersici</em>. doi: <a href="https://doi.org/10.3389/fpls.2019.01350">10.3389/fpls.2019.01350</a></p> <p> </p>
Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences IX - Plant Identifications 2015
This data set was collected as a part of Brian Houseman's MS Thesis, Post-fire Variability in Siberian Alder in Interior Alaska: Distribution Patterns, Nitrogen Fixation Rates, and Ecosystem Consequences (December 2017). Data include plant voucher collections that were collected on study plots in 2015. Data were collected on study plots established across two burn scars (2004 Boundary Fire and 1971 Wickersham Dome Fire) within the Yukon-Tanana Uplands ecoregion of interior Alaska.
Plant remains (identifications) from Ballinglanna North 3, Co. Cork Ireland
<p>.csv file of identification and quantification of plant remains from Early Neolithic and Bronze Age site at Ballinglanna North 3 in north County Cork, Ireland.</p>
Plant remains (identifications) from Gortore 1b, Cork, Ireland
<p>.csv file with a record of plant remains retrieved from samples taken during excavations at Gortore 1b, CO. Cork, Ireland. Samples were taken from contexts dating to the Mesolithic, Early Neolithic and early medieval period.</p>
Peatland restoration in Norway – evaluation of ongoing monitoring and identification of plant indicators of restoration success
<p>Norway launched a national action plan on wetland restoration in 2016. So far, 90% of the restoration effort has been on peatland restoration, with about 140 mires restored so far. There are three main restoration goals stated in the action plan: 1) Limit greenhouse gas (GHG) emissions, 2) climate adaptation, and 3) improve ecological condition. Quantifying the outcome of the restoration actions is necessary to evaluate whether the goals of the action plan are met. A vegetation monitoring protocol was suggested before restoration started and has been implemented at five restoration sites. As the peatland restoration effort in Norway is increasing, it is timely to evaluate if the data currently collected can measure peatland restoration outcomes. We evaluate the monitoring protocol based on statistical analyses of the data collected at two sites, describe how indicator species can be identified using generalized composition data used as the basis for classifying habitats in Norway (EcoSyst framework), and suggest the way forward for peatland restoration monitoring in Norway. Data collected according to the monitoring protocol can document changes in species composition at restoration sites but has limitations when the ecological complexity at the sites increases and reference sites are unavailable. We argue that adjusting the monitoring protocol will: 1) Facilitate alignment with existing peatland research; 2) connect better with monitoring programs where data is collected applying EcoSyst framework principles; and 3) enable upscaling to cover the wide variation emerging in peatland restoration.</p>
Figure 1 in Identification of planthoppers (Hemiptera: Delphacidae) intercepted on aquarium plants in Florida and elucidation of a potential pathway for exotic aquatic and semiaquatic pests
Figure 1. Opiconsiva anacharsis (Fennah). A) Opiconsiva anacharsis on Echinodorus sp. plant as sold in stores. Photograph by Melanie Cain, DPI. B) Adult female dorsal habitus. Photograph by Jade S. Allen, DPI. C) Male genital capsule, lateral view. Photograph by Jade S. Allen, DPI. D) Male genital capsule, posterior view. Photograph by Susan E. Halbert, DPI.
Dataset of the paper "Machine learning for expert-level image-based identification of very similar species in the hyperdiverse plant bug family Miridae (Hemiptera: Heteroptera)"
<p>This dataset contains 3792 images of 26 plant bug (Insecta: Heteroptera: Miridae: Mirini) species used to test the performance of a CNN in species recognition. All jpg files are 1920 pixels on the long size and additionally available as an archive file to facilitate download of the entire dataset. </p> <p>Bar code labels (unique specimen identifiers or USIs) were attached to all examined specimens used for this study. Further information such as additional photographs of habitus and genitalic structures, georeferenced coordinates of each locality, specimens dissected, notes, collecting method can be obtained from the Heteroptera Species Pages (http://research.amnh.org/pbi/heteropteraspeciespage/) which assembles available data from a specimen database and are also provided as an Excel spreadsheet (file _Adelphocoris_CNN_label_data.xlsx).</p>
Figure 10 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 10. Nucleotide sequence alignment of the ITS (ITS1, 5.8S rDNA and ITS4) region of the C. sphaerospermum isolate 10 and the other isolates already recorded in NCBI.
Figure 8 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 8. Nucleotide sequence alignment of the ITS (ITS1, 5.8S rDNA and ITS4) region of the C. sphaerospermum isolate 9 and the other isolates already recorded in NCBI.
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)
Figure 3. A in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 3. A phylogenetic tree constructed by the neighbor-joining method depending on a comparison of the nucleotide sequences obtained from the C. sphaerospermum isolates (1-13).
Figure 2 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 2. The similarity and difference in the nucleotide sequences of the C. sphaerospermum isolates (1-13) identified in the present study. Similar nucleotides are stated in dots. Numbers given on the right side of the figure represent the nucleotide sequences obtained from the C. sphaerospermum isolates.
Figure 1. 1 in Morphological and molecular identification of Cladosporium sphaerospermum isolates collected from tomato plant residues
Figure 1. 1% Agarose gel electrophoresis of PCR products amplified using the primer pair ITS1 and ITS4 from the C. sphaerospermum isolates (1-13) obtained from tomato plant residues collected from different regions of Najaf and Karbala provinces. M: 1Kbp DNA Ladder (Promega, USA).
Fig. 7 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 7. Comparison of 3 characteristic forms of damage: (a) hole and feces coming from inside the pad, useful to distinguish pads with Cactoblastis cactorum; (b) typical damage observed in plants that were attacked by C. cactorum; (c) circular black spot fungal damage; (d) map black spot fungal damage.
Fig. 6 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 6. Proportion of Cactoblastis cactorum infected cladodes parasitized by Apanteles opuntiarum and proportion per cladode of C. cactorum larvae parasitized by A. opuntiarum throughout the yr for sites from Santiago del Estero, Córdoba, and Tucumán provinces. The average and standard deviation of the number of pupae of A. opuntiarum per C. cactorum larvae also is shown.
Fig. 2 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 2. Description of spots and setae from larval I to VI, shown in the pro- and meso-thoracic segment, and the seventh and anal abdominal segments: D1–2: dorsal setae; SD1–2: subdorsal setae; XD1–2: prothoracic setae; L1–3: lateral setae; SV1–2: subventral setae; PP1: posterior setae; spot "k" in prothorax, "h" in mesothorax, "a" and "c" in the seventh abdominal segment, and anal shield in the tenth and last abdominal segment.
Fig. 5 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 5. Number of larvae of Cactoblastis cactorum per mo from all sites of Tucumán and the proportion of those that were parasitized by Apanteles.
Fig. 1 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 1. (a) An eggstick oviposited on a pad of Opuntia ficus indica; (b) Anterior part of the larva exhibiting the cephalic capsule and prothorax starting to sclerotize; (c) Larva II has a dark shield on the prothorax and small macula at the base of each setae in the abdomen; (d) Larva III with bigger maculae with alternating color intensity on successive segments; (e) Larva IV with a white line between the head capsule and prothorax shield; (f) Larva V characterized by almost continuous black rings on the abdomen on an orange-brownish back- ground; (g) Typical bright orange larval VI with the prothorax shield fractured in 2 and apparently continuous black rings; (h) pupa within silk cocoon and naked pupa; Cactoblastis cactorum females (lef) and males (right); females have longer palps (i) than males (j). Both genders are characterized by a transverse line in the distal part of the wings (k, l).
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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)
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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.