A collection of 5 brain maps. Each brain map is a 3D array of values representing properties of the brain at different locations.

Collection description

MKDADensity meta analysis with FDRCorrector

Dataset Abstract:Sugarcane is an important source of food, biofuel, and farmer income in many countries. At the same time, sugarcane is implicated in many social and environmental challenges, including water scarcity and nutrient pollution. Currently, few of the top sugar-producing countries generate reliable maps of where sugarcane is cultivated. To fill this gap, we introduce a dataset of detailed sugarcane maps for the top 13 producing countries in the world, comprising nearly 90% of global production. Maps were generated for the 2019-2022 period by combining data from the Global Ecosystem Dynamics Investigation (GEDI) and Sentinel-2 (S2). GEDI data were used to provide training data on where tall and short crops were growing each month, while S2 features were used to map tall crops for all cropland pixels each month. Sugarcane was then identified by leveraging the fact that sugar is typically the only tall crop growing for a substantial fraction of time during the study period. Comparisons with field data, pre-existing maps, and official government statistics all indicated high precision and recall of our maps. Agreement with field data at the pixel level exceeded 80% in most countries, and sub-national sugarcane areas from our maps were consistent with government statistics. Exceptions appeared mainly due to problems in underlying cropland masks, or to under-reporting of sugarcane area by governments. The final maps should be useful in studying the various impacts of sugarcane cultivation and producing maps of related outcomes such as sugarcane yields.

USAGE: Users must mask the provided sugarcane map with the most appropriate crop mask from the ones provided. If none of the provided crop masks are suitable, users can use an external crop mask instead.

Validation results for the sugarcane maps are detailed in Section 4.3 of the paper. For Indonesia and Guatemala, no field-level data or raster datasets were available for validation of our sugarcane maps.

Dataset: 5 bandsb1: Number of tall monthsb2: Sugarcane Map: 0 = non-sugarcane, 1 = sugarcaneb3: ESA crop mask: 0 = non-cropland, 1 = croplandb4: ESRI crop mask: 0 = non-cropland, 1 = croplandb5: GLAD crop mask: 0 = non-cropland, 1 = cropland

The dataset can be accessed on Google Earth Engine (GEE) at https://code.earthengine.google.com/?asset=projects/lobell-lab/gedi_sugarcane/maps/imgColl_10m_ESAESRIGLADExample GEE script for visualizing and masking the sugarcane maps by country available at:https://code.earthengine.google.com/545a87ce9bc29f2b5ad180955d974f8c?asset=projects%2fl Bell-lab%2Fgedi_sugarcane%2 Maps%2FimgColl_10m_ESAESRIGLAD

Collection description

MKDADensity meta analysis with FDRCorrector

Subject species

homo sapiens

Modality

Other

Analysis level

meta-analysis

Map type

P

City Limits and ETJ

This dataset shows the location of sugar mills in Queensland.This dataset can be viewed in the web map AgTrends Spatial: https://qldspatial.information.qld.gov.au/AGTrendsSpatial/

Contained within the 4th Edition (1974) of the Atlas of Canada is a set of four maps. These maps show the size and extent as of 1961 of seeded acres, by census division, for tobacco, sugar beets and soybeans. Each map is accompanied by a supplementary text giving the total area for Canada, the provinces and the territories. The oilseeds map shows the combined value of farm sales for 1960 to 1961 for flax, soybean, sunflower, rape, mustard and safflower crops.

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FIA Modeled Abundance depicts current species abundance and distribution across the contiguous United States, modeled by using FIA field plot data. Although the absolute values associated with the maps differ from species to species, the highest values within each map are always associated with darker colors.

The Little's Range Boundaries show the historical tree species ranges across North America. This is a digital representation of maps by Elbert L. Little, Jr., published between 1971 and 1977. These maps were based on botanical lists, forest surveys, field notes and herbarium specimens.

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Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

City Limits and ETJ

213 Global import shipment records of Sugar with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Contained within the 4th Edition (1974) of the Atlas of Canada is a set of four maps. These maps show the size and extent as of 1961 of seeded acres, by census division, for tobacco, sugar beets and soybeans. Each map is accompanied by a supplementary text giving the total area for Canada, the provinces and the territories. The oilseeds map shows the combined value of farm sales for 1960 to 1961 for flax, soybean, sunflower, rape, mustard and safflower crops.

A map of banana and sugarcane plots was produced from scanned paper maps of Guadeloupe in 1969 published by the French National Geographic Institute. Paper maps have been digitized and georeferenced to be integrated into a Geographic Information System environment. Then, vectorization tools have been used to convert the scanned images (TIF format) into vector-based feature layers (shapefile format) (software: ESRI ArcMap and ArcScan Extension, Redlands, CA, USA). Une carte des parcelles de culture de banane et de canne à sucre a été produite à partir de cartes papier scannées de la Guadeloupe en 1969 publiées par l'Institut National Géographique. Les cartes papiers ont été scannées et géoréférencées pour être intégrées dans un Système d'Information Géographique. Des outils de numérisation ont ensuite été utilisés pour convertir les images scannées (format TIF) en couches vectorielles (format shapefile) (logiciel : ESRI ArcMap and ArcScan Extension, Redlands, CA, USA).

unigenes associated with amino sugar & nucleotide sugar metabolism

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

The uncertainty around the impacts of changing climate poses a significant challenge to sustaining forest ecosystems in the Northeast. Important work has been done downscaling projected changes in climate conditions, modeling shifts in suitable habitat, and mapping disturbance patterns across the region. The goal of this project is to aggregate these valuable but disparate spatial data sets to quantify relative exposure to climate change impacts at the species, and community level. The resulting climate exposure maps provide insight to how the degree of potential risk exposure vary across the landscape an across species. Results indicate that at the stand level, highest overall exposure to climate, disturbance, and limitations in suitable habitat for current species distributions occurs in mountainous regions throughout the region and southeastern Maine. Across the region relative exposure increases by 4 percent between low and high emission scenarios. Much of our current management is guided by the outcomes of decades of silviculture research, yet many of the conditions under which those results were generated are rapidly changing. These relative exposure maps can inform where climate adaptation management applications may be most necessary over time.

A map showing the location of the economic land concession proposed by Kampong Speu Sugar Group Co., Ltd in Oaral Wildlife Sanctuary in Kampong Speu.

URL: https://geoscience.data.qld.gov.au/dataset/cr042407

OBTAINING BETTER INFORMATION FOR PLANNING IN THE SUGAR LANDS: A PROJECT DEVELOPING A STATEWIDE INTEGRATED SPATIAL DATA INFRASTRUCTURE FOR QUEENSLAND`S SUGAR GROWING LANDS. - 34 MAPS

City map showing the location of each fire station along with their service areas or districts. Service areas include both in city limits as well as within the extra territorial jurisdiction.