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13,117 results for “Maps”
Multi-parameter thematic maps for VRT
<p>"Optimization of VRT technology to the resilient tomato lines", during year 2020 an extensive set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>
Multi-parameter thematic maps for VRT (2019)
<p>“Optimization of VRT technology to the resilient tomato lines”, during year 2019 an additional set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>
Multi-parameter thematic maps for VRT (2018)
<p>"Optimization of VRT technology to the resilient tomato lines", during years 2017 and 2018 an extensive set of field surveys has been conducted by Casella using the MECS-CROP sensors made available to the TOMRES project, in order to describe and map spatial variability of field-grown tomato. All collected data have been statistically processed, analyzed and interpreted in order to assess the potential in increasing tomato stress resilience, production and quality by means of the tested smart farming techniques (variable rate fertilization, irrigation and spraying).</p>
Figures 165–166. Species distribution maps. 165 in Synopsis of the tribe Platynini in New Zealand (Coleoptera: Carabidae)
Figures 165–166. Species distribution maps. 165) Tuiplatynus libitus. 166) T. sophronitis.
Ground deformation map for the 2011 Hawthorne seismic swarm (Nevada, USA)
<p>This repository contains eight interferograms from RADARSAT-2 and ENVISAT satellites acquired over the March-September, 2011 Hawthorne seismic swarm, Nevada (USA).</p> <p>Five interferograms were obtained by processing the Canadian Space Agency RADARSAT-2 SAR data along one ascending track (incidence angle 35<sup>◦</sup> and heading angle 350<sup>◦</sup>) with GAMMA software.</p> <ul> <li>20110322_HH_20110415_HH.adf.unw.grd</li> <li>20110226_HH_20110415_HH.adf.unw.grd</li> <li>20110322_HH_20110720_HH.adf.unw.grd</li> <li>20110415_HH_20110626_HH.adf.unw.grd</li> <li>20110315_HH_20110526_HH.adf.unw.grd</li> </ul> <p>Three interferograms were obtained by processing the European Space Agency ENVISAT SAR data along one descending track (incidence angle 35<sup>◦</sup> and heading angle -166<sup>◦</sup>) with DORIS software and ISCE software.</p> <ul> <li>20110320_20110618.lld.grd</li> <li>20110419_20110618.lld.grd</li> <li>20110718_20110916_filt_topophase.unw.geo</li> </ul> <p>These interferogram were generated for figures in: Jiang, Y., Samsonov, S. V., and González, P. J. (2021). "Aseismic fault slip nucleation during a shallow normal-faulting seismic swarm constrained using a physically-informed geodetic inversion method. " JGR: Solid Earth.</p>
R/QTL datasets for fusiform rust resistance QTL mapping
<p>Fusiform rust disease, caused by the endemic fungus <i>Cronartium quercuum</i> f. sp. <i>fusiforme</i>, is the most damaging disease affecting economically important pine species in the southeast United States. In this report, we detail the genomic localization and sequence-level discovery of candidate race-nonspecific broad-spectrum fusiform rust resistance genes in <i>Pinus taeda </i>L. Two full-sib families, each with ~1000 progeny, were challenged with a complex inoculum consisting of over 150 pathogen isolates. High-density linkage mapping revealed three QTL distributed on two linkage groups. The two QTL on linkage group 2 were additive with respect to their effects on the probability of disease outcome. All three QTL were validated using a population of 2057 cloned pine genotypes in a six-year-old multi-environmental field trial. As a complement to the QTL mapping approach, bulked segregant RNAseq analysis revealed a small number of candidate nucleotide binding leucine rich repeat genes harboring SNP significantly associated with disease resistance. The results of this study demonstrate that single qualitative resistance genes can confer effective resistance against genetically diverse mixtures of an endemic pathogen.</p>
Quantitative trait locus mapping reveals an independent genetic basis for joint divergence in leaf function, life-history, and floral traits between scarlet monkeyflower (Mimulus cardinalis) populations
<p><b>PREMISE </b></p> <p>Across taxa, vegetative and floral traits that vary along a fast-slow life-history axis are often correlated with leaf functional traits arrayed along the leaf economics spectrum, suggesting a constrained set of adaptive trait combinations. Such broad-scale convergence may arise from genetic constraints imposed by pleiotropy (or tight linkage) within species, or from natural selection alone. Understanding the genetic basis of trait syndromes and their components is key to distinguishing these alternatives and predicting evolution in novel environments.</p> <p><b>METHODS </b></p> <p>We used a line-cross approach and quantitative trait locus (QTL) mapping to characterize the genetic basis of twenty leaf functional/physiological, life history, and floral traits in hybrids between annualized and perennial populations of scarlet monkeyflower (<i>Mimulus cardinalis</i>).</p> <p><b>RESULTS </b></p> <p>We mapped both single and multi-trait QTLs for life history, leaf function and reproductive traits, but found no evidence of genetic co-ordination across categories. A major QTL for three leaf functional traits (thickness, photosynthetic rate, and stomatal resistance) suggests that a simple shift in leaf anatomy may be key to adaptation to seasonally dry habitats.</p> <p><b>CONCLUSIONS </b></p> <p>Our results suggest that the co-ordination of resource-acquisitive leaf physiological traits with a fast life history and more selfing mating system results from environmental selection rather than functional or genetic constraint. Independent assortment of distinct trait modules, as well as a simple genetic basis to leaf physiological traits associated with drought escape, may facilitate adaptation to changing climates. </p>
Indicative distribution map for Ecosystem Functional Group T3.4 Young rocky pavements, lava flows and screes
<p>This archive contains indicative distribution maps and profiles for <strong>T3.4 Young rocky pavements, lava flows and screes</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Data used, summary and codes: A validation standard for Area of Habitat maps for terrestrial birds and mammals
<p>Birds_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Birds .</p> <p>Mammals_AOH_Metadata: Logistic modelling and point validation summary along with pixel summary of AOH maps for Mammals.</p> <p>Column_Names_Index_AOH_Metedata: Description of column names of Birds_AOH_Metadata and Mammals_AOH_Metadata</p> <p>Point_localities_ebird: Latitude and longitude of points per species for birds downloaded from eBird used to validate the AOH maps. </p> <p>Point_localities_gbif: Latitude and longitude of points per species for mammals downloaded from GBIF used to validate the AOH maps. </p> <p>Logistic_Regression_Codes_AOH_Validation: R script for logistic modelling.</p> <p>Point_Validation_Codes_AOH_Validation: R script for point validation of AOH maps.</p> <p>Sample_AOH_Maps: Few sample AOH maps which were validated.</p> <p> </p>
Coverage data in males and females, and genetic markers used for genetic mapping of the guppy LG12 (sex chromosome pair)
<p>The study used genetic mapping and coverage data in genome sequences of multiple male and female individuals of <i>M. picta</i> from multiple natural populations to investigate genetic degeneration of the Y chromosome, and quantify gene loss from the Y. The files include coverage results from the sex chromosome that were (i) used for sexing the sequenced individuals, and (ii) combined with autosomal results to analyze M/F, M/A and F/A depth of coverage ratios. Genetic mapping was also used to validate sex linkage, and the data set includes files with genotypes of genetic markers.</p>
Systematic Mapping Study Results
<p>This is a CSV-file containing the results from a systematic mapping study tiltled "Edge computing for cyber-physical systems -- A systematic mapping study emphasizing trustworthiness" submittied for review to ACM Transactions on Cyber-Physical Systems.</p>
Indicative distribution map for Ecosystem Functional Group T1.2 Tropical/Subtropical dry forests and thickets
<p>This archive contains indicative distribution maps and profiles for <strong>T1.2 Tropical/Subtropical dry forests and thickets</strong>, a ecosystem functional group (EFG, level 3) of the <a href="https://global-ecosystems.org/">IUCN Global Ecosystem Typology</a> (v2.0). Please refer to Keith <em>et al.</em> (2020) for details.</p> <p>The descriptive profiles provide brief summaries of key ecological traits and processes, maps are indicative of global distribution patterns, and are not intended to represent fine-scale patterns. The maps show areas of the world containing major (value of 1, coloured red) or minor occurrences (value of 2, coloured yellow) of each ecosystem functional group. Minor occurrences are areas where an ecosystem functional group is scattered in patches within matrices of other ecosystem functional groups or where they occur in substantial areas, but only within a segment of a larger region. Given bounds of resolution and accuracy of source data, the maps should be used to query which EFG are likely to occur within areas, rather than which occur at particular point locations. Detailed methods and references for the maps are included in the profile (xml format).</p>
Resolving Organoid Brain Region Identities by Mapping Single-Cell Genomic Data to Reference Atlases
<p>Data underlying the figures in the publication “Resolving organoid brain region identities by mapping single-cell genomic data to reference atlases”, published in <em>Cell Stem Cell, </em><strong>2021</strong><em>, </em>28, 1148–1159.</p> <p><a href="https://www.sciencedirect.com/science/article/pii/S1934590921000655">https://www.sciencedirect.com/science/article/pii/S1934590921000655</a></p> <p>Table of contents:</p> <p><strong>1. patscreen_srt.rds</strong>; Numerical data for <em>Figure 7</em>: RNA-seq data of a patterning screen in organoids with an array of small molecules. The dataset is in the rds data format, which can be opened in the R programming language using the function `readRDS()`. Once opened, the dataset is a Seurat object (https://satijalab.org/seurat/) and contains both the transcript counts and the metadata for all samples in the screen. The raw data used in figure 7 was also deposited in ArrayExpress (<a href="https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-10037/">https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-10037/</a>)</p>
Dataset - An Analytical Hierarchy Process (AHP) model for mapping expectations
<p>This dataset contains detailed information about an Analytical Hierarchy Process (AHP) model developed in order to map actors' perceptions about their contributions to a gender policy. </p>
Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage) at a scale of 1:25 000. Digital phase 8 release.
<p>This is the digital dataset which was created by digitising the Soils of Scotland 1:25,000 Soil maps and the Soils of Scotland 1:25,000 Dyeline Masters. The Soils of Scotland 1:25,000 Soil maps were the source documents for the production of the Soils of Scotland 1:63,360 and 1:50,000 published map series. Where no 1:25,000 published maps exist 1:63,360 maps have been digitised for this data set, the field SOURCE_MAP describes the source of the data. The classification is based on Soil Associations, Soil Series and Phases which reflect parent material, major soil group, and soil sub-groups, drainage and (for phases), texture, stoniness, land use, rockiness, topography and organic matter. Phases are not always mapped. In general terms this dataset primarily covers the cultivated land of Scotland but also includes some upland areas. This data set is undergoing a phased revision, the latest (phase 8) was released in August 2021. The digitising of the recently added data was funded by the Rural & Environment Science & Analytical Services Division of the Scottish Government. The data can also be downloaded from or viewed at <a href="https://www.hutton.ac.uk/soil-maps/">https://www.hutton.ac.uk/soil-maps/ </a>or viewed at <a href="https://map.environment.gov.scot/Soil_maps/?layer=2">Scotland's Soils - soil maps (environment.gov.scot). </a> This map should be cited as: 'Soil Survey of Scotland Staff (1970-1987). Soil maps of Scotland (partial coverage) at a scale of 1:25 000. Digital phase 8 release. James Hutton Institute, Aberdeen. DOI 10.5281/zenodo.5159133.</p>
Figure 19. Distribution map for Revena plaumanni Bondar, 1943 in Biological aspects and redescription of the weevil Revena plaumanni Bondar (Coleoptera: Curculionidae)
Figure 19. Distribution map for Revena plaumanni Bondar, 1943.
Conformance Assessment of Architectural Design Decisions on the Mapping of Domain Model Elements to APIs and API Endpoints: Dataset and Code
<p>This is the dataset and related code artifact for the article "Conformance Assessment of Architectural Design Decisions on the Mapping of Domain Model Elements to APIs and API Endpoints".</p> <p><strong>Abstract of the article:</strong></p> <p> Microservice APIs are often identified and designed based on Domain-Driven Design (DDD). To help in the continuous analysis of mappings of domain model elements to APIs and API endpoints, we aim to automate the assessment of conformance to Architectural Design Decision (ADD) options. The ADDs, their decision options, and relevant decision drivers studied in this paper originate from an empirical study on the mapping of domain model elements to APIs and API endpoints in practice. We propose automated detectors to detect the decision options of the ADDs taken in a given microservice API model, and an assessment scoring scheme based on the empirical knowledge codified in the ADDs. We evaluate our work, by first manually creating a ground truth for 14 cases in a multi-case study, and then comparing the results of our automated detectors to the ground truth for each of the 14 cases. In the cases we were able to identify 86\% of the decision points correctly, and a statistical analysis of our data shows only a negligible effect size for differences to the ground truth.</p>
Map 3 in A revision of Geostiba of the West Palaearctic region. XXV. New species from Georgia and Greece, and additional records (Coleoptera: Staphylinidae: Aleocharinae)
Map 3: Distribution of G. cingulata in the Caucasus region, based on examined records.
Map 4 in On the Leptusa fauna of the Caucasus region (Coleoptera: Staphylinidae: Aleocharinae)
Map 4: Distribution of Leptusa venusta in the Caucasus region.
Map 3 in A revision of Trisunius V. Three new species and additional records, including the first records of the genus from Vietnam (Coleoptera: Staphylinidae: Paederinae)
Map 3: Distribution of Trisunius cultellatus.
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.