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13 results for “Yield Mapping”
Text-fig. 1. Locality map with the approximate extent of Clarkia Lake during Miocene times in what is today northern Idaho, USA. Black dots mark three of the localities yielding the Miocene Clarkia flora; the fossil leaf of Nymphaea sp. described here comes from locality P-33. Other symbols: Dashed lines for county boundaries; a thin dotted line for Idaho State Hwy 3; a triangle for the local peak of Bechtel Butte; and a star for the town of Clarkia. Inset: Location of the map in northern Idaho. Abbreviations: WA – Washington state, OR – Oregon, ID – Idaho, MT – Montana. Map redrawn from Ladderud et al. (2015). in First Water Lily, A Leaf Of Nymphaea Sp., From The Miocene Clarkia Flora, Northern Idaho, Usa: Occurrence, Taphonomic Observations, Floristic Implications
Text-fig. 1. Locality map with the approximate extent of Clarkia Lake during Miocene times in what is today northern Idaho, USA. Black dots mark three of the localities yielding the Miocene Clarkia flora; the fossil leaf of Nymphaea sp. described here comes from locality P-33. Other symbols: Dashed lines for county boundaries; a thin dotted line for Idaho State Hwy 3; a triangle for the local peak of Bechtel Butte; and a star for the town of Clarkia. Inset: Location of the map in northern Idaho. Abbreviations: WA – Washington state, OR – Oregon, ID – Idaho, MT – Montana. Map redrawn from Ladderud et al. (2015).
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7). in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 4. Graphical visualization of Phytogeographic Reference Regions Assessment (PRRA) of nearest living relative genera of fossil-taxa from late Early Miocene Wiesa assemblage in eastern Germany. Analysis yields only NLRs which have modern distribution area (partly) in E and SE Asia. For relationships of fossil-taxa to nearest living relatives or ecological equivalents, see Tab. 6; taxa used for analysis marked with asterisks. Three geographic resolutions conducted: a – grid with 1.5° latitude/longitude resolution, b – grid with 2°, c – grid with 3°; similarity column indicates cooccurrences of genera of nearest living relatives in single grid box. Maximum value in our analysis: grid box marked with arrow in map a, located in western Yunnan Province, P. R. China and southern Kachin Province, NE Myanmar (east of Myitkyina city), area with 97.371 7–98.874 2° longitude and 24.586 7–25.837 5° latitude, yields 23 co-occurring species of 13 genera (Tab. 7).
Fig. 1. Map showing the localities where the analyzed South Korean pterosaur fossils were discovered. A, fossil locality yielding pterosaur teeth KPE 40001 and YCS 2001 in Geometric Morphometric Approach To Establish Phylogenetic Affinities Of Enigmatic Pterosaur Specimens From The Lower Cretaceous Of South Korea
Fig. 1. Map showing the localities where the analyzed South Korean pterosaur fossils were discovered. A, fossil locality yielding pterosaur teeth KPE 40001 and YCS 2001 (with YCS 2001 as an example); B, fossil locality where the second wing phalanx SNUVP 201901 was excavated. Images of YCS 2001 and SNUVP 201901 are modified from Yun et al. (2007) and Park et al. (2020), respectively, and the pterosaur silhouette is from phylopic.org (courtesy of FunkMonk, CC BY-SA 3.0).
Global gridded maps of yield potential of the Global Yield Gap Atlas (GYGA)
<p>A complete description of maps' methods, accuracy, strengths, and limitations is available in <a href="https://doi.org/10.1038/s43016-024-01029-3">Aramburu-Merlos et al. (Nat. Food, 2024)</a>. </p> <p>Briefly, we combined site-specific yield potential estimates of the <a href="https://www.yieldgap.org/">Global Yield Gap Atlas</a> with gridded environmental predictors in a machine-learning metamodel to generate global maps of yield potential at a 30-arc-second resolution for maize, wheat, and rice, separately for irrigated and rainfed conditions. Model predictions were restricted to their <a href="https://doi.org/10.1111/2041-210X.13650">area of applicability</a> and lands harvested with the given crop and water regime condition (harvested area > 0.5% according to <a href="https://doi.org/10.7910/DVN/PRFF8V">SPAM v2.0</a>).</p> <p> </p>
QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat
<p>The mapping population comprises of 180 RILs developed from a cross between GW322 and KAUZ.</p> <p><strong>Phenotypic data</strong><br>Phenotypic evaluation was conducted across two consecutive crop seasons (2021-22 and 2022-23) under late sown irrigation (LSIR) and late sown restricted irrigation (LSRI) conditions at ICAR-IARI, New Delhi. Various physiological and agronomic traits of importance were measured. The component traits of yield including days to heading (DH), normalized difference vegetation index (NDVI), SPAD chlorophyll content (SPAD), plant height (PH), spike length (SL), thousand-grain weight (TGW), grain weight per spike (GWPS), biomass (BM) and grain yield per plot (PY) were measured under heat and combined stress conditions.</p> <p><strong>Genotypic data</strong><br>DNA was isolated from 21-day-old seedlings using the CTAB method (Murray and Thompson, 1980). DNA quality check was done using 0.8% agarose gel electrophoresis. The Axiom Breeders' array containing 35K Single Nucleotide Polymorphism (SNP) was employed for the genotyping of RILs and parents.</p>
QTL mapping: insights into genomic regions governing component traits of yield under combined heat and drought stress in wheat
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SCYM Maize Yield Maps (Low Resolution) from Deines et al. 2021, Lobell et al. 2020
<p>Annual maize yield maps for the US Corn Belt for 1999-2018, aggregated to 10 km resolution. Yield maps are produced with the SCYM methodology at 30 m resolution using Landsat satellite data. The original high resolution yield maps are aggregated to a 10 km grid resolution to preserve privacy.</p> <p>Dataset creation is described in <a href="https://doi.org/10.1016/j.rse.2020.112174">Deines et al., 2020</a> in Remote Sensing of Environment (open access). The 2008-2018 map dataset described therein was extended back to 1999 for <a href="https://doi.org/10.1038/s43016-020-00165-w">Lobell et al. 2020</a> in Nature Food (<a href="https://rdcu.be/b9cXQ">read-only accessible version</a>). Maps for 2008-2018 use the USDA's Cropland Data Layers to identify maize pixels; maps for 1999-2007 use the Corn-Soy Data Layer produced by <a href="https://www.nature.com/articles/s41597-020-00646-4">Wang et al. 2000</a> (data + manuscript are open access).</p> <p><strong>Metadata</strong></p> <p>Yield values are provided in metric tons/hectare. </p> <p>No Data value = -999 (grid cells outside of the study area + cells with <1% coverage of SCYM 30 m yield maps)</p> <p>Map projection: EPSG:5070, CONUS Albers Equal Area</p> <p> </p> <p> </p> <p>Preferred citation(s):</p> <p>Deines, J.M., R. Patel, S. Lang, W. Dado, & D.B. Lobell. 2020. A million kernels of truth: Insights in to scalable satellite maize yield mapping and yield gap analysis from an extensive ground dataset in the US Corn Belt. <em>Remote Sensing of Environment. </em><a href="https://doi.org/10.1016/j.rse.2020.112174">https://doi.org/10.1016/j.rse.2020.112174</a></p> <p>D.B. Lobell, J.M. Deines, & S. Di Tomasso. 2020. Changes in the drought sensitivity of U.S. maize yields. <em>Nature F</em><em>o</em><em>o</em><em>d</em> 1:729-735. <a href="https://doi.org/10.1038/s43016-020-00165-w">https://doi.org/10.1038/s43016-020-00165-w</a></p> <p> </p>
Mapping the yields of lignocellulosic bioenergy crops from observations at the global scale
<p>This package contains the gridded yield data for lignocellulosic bioenergy crops developed from a global yield observation dataset using a random forest algorithm based on climatic and soil conditions. The data are global yield maps of five important lignocellulosic bioenergy crops (eucalypt, Miscanthus, poplar, switchgrass and willow) under current technology, climate and atmospheric CO<sub>2</sub> conditions at a 0.5° × 0.5° spatial resolution. A combined “best bioenergy crop” yield map is also provided by selecting the one of the five crop types with the highest yield in each of the grid cell. The yield unit is “ton DM ha<sup>-1</sup> yr<sup>-1</sup>”. Please see more details in the associated paper on ESSD.</p>
Data from: A FISH-based chromosome map for the European corn borer yields insights into ancient chromosomal fusions in the silkworm
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Genome-wide targeted methyl-seq: Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield of disease-associated regulatory SNPs
GEO Series GSE137287. Homo sapiens. 14 samples. Type: Methylation profiling by high throughput sequencing.
Whole Genome Bisulfite sequencing: Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield of disease-associated regulatory SN
GEO Series GSE137879. Homo sapiens. 85 samples. Type: Methylation profiling by high throughput sequencing.
Whole genome bisulfite sequencing and Genome-wide targeted methyl-seq: Allele-specific DNA methylation is increased in cancers and its dense mapping in normal plus neoplastic cells increases the yield
GEO Series GSE137880. Homo sapiens. 99 samples. Type: Methylation profiling by high throughput sequencing.
Dataset related to the article "Diagnostic yield of Electroanatomic Voltage Mapping in guiding Endomyocardial Biopsies"
<p>This record contains raw data related to the article “Diagnostic yield of Electroanatomic Voltage Mapping in guiding Endomyocardial Biopsies”</p>
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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.