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126 results for “rice field”
Fig. 1 in Potential of unmanned aerial sampling for monitoring insect populations in rice fields
Fig. 1. Rotary-wing unmanned aerial vehicle equipped with remote-controlled insect net openings (a). Layout of double-layered insect net designed to prevent loss of insect samples during aerial sampling (b). Representative flight path of unmanned aerial vehicle for aerial sampling over rice field (c).
Figs 2, 3 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Figs 2, 3. Aquatic Oligochaeta in wetlands and irrigated rice fields in the state of Rio Grande do Sul, Brazil: 2, taxonomic richness; 3, species composition.
Fig. 1 in Aquatic Oligochaeta (Annelida: Clitellata) in wetlands and irrigated rice fields in the state of Rio Grande do Sul (Southern Brazil)
Fig. 1. Location of the study regions and study sites in Rio Grande do Sul state, Brazil. Abbreviations of the study regions: FV = 'Foz do Vacacaí' study region; SD = 'São Donato' study region; SG = 'southwestern' study region. Numbers indicate the study sites and follow Table I.
Setting up Methane Mitigation Measures for Indian Rice Fields: Representative Emissions and New Interpretations
<p>Setting up Methane Mitigation Measures for Indian Rice Fields: Representative Emissions and New Interpretations</p> <p>Fida Mohammad Sahil, Mukund Narayanan and Idhayachandhiran Ilampooranan*</p> <p>Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India – 247667.</p> <p>*Corresponding Author (Email: idhaya@wr.iitr.ac.in)</p> <p>This repository contains the code and datasets generated in this study accepted in Global Biogeochemical Cycles Journal.</p>
Are rice fields less diverse and more invaded by non-native species than less impacted habitats? A test with wetland microcrustaceans
<p>Raw data of environmental variables and microcrustacean abundance community matrix</p> <p>R scripts used in the study</p>
Data for: Improvements in the Land and Crop Modeling over Flooded Rice Fields by Incorporating the Shallow Paddy Water (Submitting to the Journal of Advances in Modeling Earth Systems)
<p>We incorporated the shallow paddy surface water layer into the Noah-MP land surface model to improve its performance of surface heat fluxes over flooded rice paddies. Field measurements from two crop sites, i.e., SAITO (early rice) and SAGA (late rice), were used to initialize and evaluate the modified Noah-MP model (Maruyama, 2021). Additionally, we investigated the roles of some key parameters in the land and crop modeling. </p> <p>Note that, all numerical experiments in this study were conducted at the field scale using the offline version of Noah-MP (Niu et al., 2011) running within the High-Resolution Land Data Assimilation System (HRLDAS v3.9; Chen et al., 2007). Please refer to the official HRLDAS/Noah-MP unified Github repository (<a href="https://github.com/NCAR/hrldas">https://github.com/NCAR/hrldas-release</a>) for the original model codes.</p> <p>The related model code modifications and model outputs were included in this dataset. Surface observations for the nearest AMeDAS or meteorological observatory stations were obtained from the Japan Meteorological Agency website (<a href="https://www.jma.go.jp/jma/indexe.html">https://www.jma.go.jp/jma/indexe.html</a>), and were also provided in this dataset.</p> <p> </p> <p>References</p> <p>Chen, F., Manning, K. W., LeMone, M. A., Trier, S. B., Alfieri, J. G., Roberts, R. D., et al. (2007). Description and evaluation of the characteristics of the NCAR high‐resolution land data assimilation system. <em>Journal of Applied Meteorology and Climatology</em>, 46(6), 694-713. <a href="https://doi.org/10.1175/JAM2463.1">https://doi.org/10.1175/JAM2463.1</a></p> <p>Maruyama, A. (2021). Data for: Coupling land surface and crop models to estimate the effects of changes in the growing season on energy balance and water use of rice paddies (version 2) [Data set]. Mendeley Data. <a href="https://doi.org/10.17632/tv23z95r5g.2">https://doi.org/10.17632/tv23z95r5g.2</a></p> <p>Niu, G., Yang, Z., Mitchell, K., Chen, F., Ek, M., Barlage, M., et al. (2011). The community Noah land surface model with multiparameterization options (Noah‐MP): 1. Model description and evaluation with local‐scale measurements. <em>Journal of Geophysical Research, </em>116, D12109. <a href="https://doi.org/10.1029/2010JD015139">https://doi.org/10.1029/2010JD015139</a></p>
Data from: Compositional shifts in root-associated bacterial and archaeal microbiota track the plant life-cycle in field-grown rice
Open the record for dataset details and reuse information.
Data and code from: Factors influencing shorebird use of post-harvest flooded rice fields in California’s Sacramento Valley
Open the record for dataset details and reuse information.
FIGURE 29 in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 29. Heterocypris savatenalintonae sp. nov. A, detail of antenna, female (LBM 1430009544). B, detail of antenna, male (LBM 1430009542). C, detail of abnormal terminal segment of antenna, female (LBM 1430009545). D, fifth limb, female (LBM 1430009545). E, abnormal fifth limb palp, female (LBM 1430009545). F, abnormal fifth limb palp, female (LBM 1430009544). G, sixth limb, female (LBM 1430009545). H, sixth limb, male (LBM 1430009543). All specimens from sample 38 (see Table 1).
FIGURE 17 in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 17. Distribution map of Hemicypris posterotruncata and Hemicypris ovata.? indicates uncertain records. Abbreviations and colours of points refer to Köppen climatic zones, following Peel et al. (2007). Data from: 1, Akindele 2013. 2, Schöning (1994) as Hemicypris sp., identified as H. ovata by Karanovic (2012). 3, Deb (1972a). 4, Deb (1972b). 5, Savatenalinton (2014), Savatenalinton & Suttajit (2014). 6, Sars (1903) (approximate as no specific locality given). 7, Victor & Fernando, 1981. 8, Bate (1970; 1972). 9, Rasouli & Aygen (2017). 10, this study. 11, Kume (2013). 12, Okubo (1990). 13, this study. 14, Tanaka et al. 2015.
FIGURE 20. Hemicypris kliei Lindroth, 1953. A in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 20. Hemicypris kliei Lindroth, 1953. A, left valve, external view. B, right valve, external view. C, left valve, external view, detail of antero-ventral area. D, left valve, external view, detail of antero-ventral area. E, left valve, external ventral view. F, right valve, external ventral view. G, left valve, external ventral view of antero-ventral margin. H, left valve, external ventral view of postero-ventral margin. I, left valve, external ventral view, detail of ventral margin. Scale bar = 500 µm for A, B, E & F, 298 µm for I, 125 µm for C, G, H, and 31 µm for D. (All figures female topotype specimen UUZM Typ 603x.)
FIGURE 14. A–F in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 14. A–F, Hemicypris posterotruncata Bate, 1970. A, left valve, external ventral view (LBM 1430009522, sample 14; see Table 1). B, right valve, external ventral view (LBM 1430009522, sample 14). C, left valve, external ventral view, detail of ventral margin (LBM 1430009522, sample 14). D, right valve, external ventral view, detail of ventral margin (LBM 1430009522, sample 14). E, left valve, external ventral view, detail of antero-ventral margin (LBM 1430009522, sample 14). F, left valve, external ventral view, detail of denticles (LBM 1430009522, sample 14). H & I, Hemicypris ovata Sars, 1903. H, whole carapace, left view (paralectotype NHMO F12264c). I, detail of pits on anterior of left valve (paralectotype NHMO F12264c). All specimens female. Scale bar = 500 µm for A, B & H, 141 µm for C–E, 23 µm for F, 84 µm for I.
FIGURE 5 in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 5. Cyprinotus cassidula sp. nov. A, antennule, male (LBM 1430009504). B, antenna, male (LBM 090524-01-014). C, mandibular palp, male (LBM 1430009502). D, alpha, beta and gamma setae of mandibular palp, male (LBM 1430009502). E, mandibular coxa, male (LBM 1430009502). F, maxillula palp and endites (setae on endites not drawn) (LBM 1430009502). G, left fifth limb palp, male (LBM 1430009502). H, right fifth limb palp, male (LBM 1430009502). All specimens from type locality (Table 1, sample 4).
FIGURE 2 in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 2. Cyprinotus cassidula sp. nov. A, left valve, internal view, female (LBM 1430009506). B, left valve, internal view, male (LBM 1430009496). C, right valve, internal view, female, detail of antero-ventral area (LBM 1430009506). D, right valve, internal view, female, detail of postero-ventral area (LBM 1430009506). E, left valve, internal view, female, detail of posteroventral area (LBM 1430009506). F, left valve, internal view, female, detail of antero-ventral area (LBM 1430009506). G, right valve, internal view, female, detail of central ventral area (LBM 1430009506). All specimens from type locality (Table 1, sample 4). Scale bar = 500 µm for A & B, 108 µm for C–G.
FIGURE 22. A–D in Taxonomic assessments of some Cyprinotinae Bronstein, 1947 species (Crustacea: Ostracoda) from Japanese and Korean rice fields, including (re-) descriptions of six species and a review of the type species of the subfamily
FIGURE 22. A–D, Hemicypris kliei Lindroth, 1953 (female topotype UUZM Typ 603t). A, left valve, internal view. B, left valve, external view. C, left valve, internal view, detail of antero-ventral margin. D, left valve, external view, detail of anteroventral margin. E & F, Hemicypris kliei Lindroth, 1953? (NHMUK PM Io 1451A-004). E, left valve, internal view. F, left valve, external view. Scale bar = 500 μm for A & B, E & F, 125 μm for C & D.
Data from: Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice
To ensure food security in the face of population growth, decreasing water and land for agriculture, and increasing climate variability, crop yields must increase faster than the current rates. Increased yields will require implementing novel approaches in genetic discovery and breeding. Here we demonstrate the potential of field-based high throughput phenotyping (HTP) on a large recombinant population of rice to identify genetic variation underlying important traits. We find that detecting quantitative trait loci (QTL) with HTP phenotyping is as accurate and effective as traditional labor-intensive measures of flowering time, height, biomass, grain yield, and harvest index. Genetic mapping in this population, derived from a cross of an modern cultivar (IR64) with a landrace (Aswina), identified four alleles with negative effect on grain yield that are fixed in IR64, demonstrating the potential for HTP of large populations as a strategy for the second green revolution.
FIGURE 5 Tanycypris eugenkempfi n in Species diversity of ostracods (Crustacea: Ostracoda) from rice fields in Northeast Thailand, with the description of a new Tanycypris species
FIGURE 5 Tanycypris eugenkempfi n. sp. (MSU-ZOC.230). A. T2; B. T3; C. CR; D. CR attachment. Scale bar = 117 µm for A; 100 µm for B–D.
FIGURE 4 Tanycypris eugenkempfi n in Species diversity of ostracods (Crustacea: Ostracoda) from rice fields in Northeast Thailand, with the description of a new Tanycypris species
FIGURE 4 Tanycypris eugenkempfi n. sp. (MSU-ZOC.230). A. Md-palp; B. Terminal Segment of Md-palp; C. Md-coXa; D. MX1 (apical Setae on enditeS not draWn, eXcept for a marginal Seta on firSt endite); E. T1; F. Protopod of T1. Scale bar = 59 µm for A–B, D; 50 µm for C, F; 100 µm for E.
FIGURE 1 in Species diversity of ostracods (Crustacea: Ostracoda) from rice fields in Northeast Thailand, with the description of a new Tanycypris species
FIGURE 1 PhotographS of Sampled rice fieldS in NortheaSt Thailand, With number of SpecieS found: A–E. In-SeaSon rice fieldS, F–G. Off-SeaSon rice fieldS, H–I. Rice fieldS after harveSt. A. Rice field number 13 (nine SpecieS); B. Rice field number 19 (Seven SpecieS); C. Rice field number 23 (10 SpecieS); D. Rice field number 29 (11 SpecieS); E. Rice field number 30 (18 SpecieS); F. Rice field number 34 (tWo SpecieS); G. Rice field number 10 (five SpecieS); H. Rice field number 37 (four SpecieS); I. Rice field number 39 (no oStracodS found). See appendiX for rice field numberS.
FIGURE 2 Tanycypris eugenkempfi n in Species diversity of ostracods (Crustacea: Ostracoda) from rice fields in Northeast Thailand, with the description of a new Tanycypris species
FIGURE 2 Tanycypris eugenkempfi n. sp. A. Carapace, right lateral vieW (MSU-ZOC.232); B. Carapace, dorSal vieW (ditto); C. Valve Surface (ditto); D. MuScle ScareS (MSU-ZOC.230); E. LV, internal vieW (ditto); F. RV, internal vieW (ditto). Scale barS: A–B, E–F = 100 µm; C = 10 µm; D = 53 µm.
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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)
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.