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13,117 results for “Maps”
Data from: A map-based approach to assessing genetic diversity, structure, and connectivity in the seagrass Halodule wrightii
Seagrass cover has declined in many areas of the world in a trend that has accelerated over the past several decades. This raises concern for both the impact the decline in cover has on coastal ecosystems and the effect it may have on seagrass evolutionary potential, as genotypic and genomic variation is lost. We used 8 microsatellite loci to investigate genetic diversity, structure, and connectivity in the seagrass Halodule wrightii from the Gulf of Mexico (Texas, USA) and western Atlantic (Bermuda). We examined how estimates correlated with changes in H. wrightii abundance and distribution on the Texas Gulf coast over the past 50 yr. Results show that, compared to other species, H. wrightii from this region exhibits variable clonal diversity (R = 0.02-0.81), moderate allelic diversity (mean AR = 4.09), and relatively high heterozygosity (mean He = 0.56). The patterns of genetic diversity and structure, however, do not entirely coincide with either geography or recent historical trends in seagrass distribution in this region. Results from a basin in which seagrasses have recently been expanding were consistent with expectations, as they were for an isolated site near the limit of H. wrightii's range. Results from basins in which seagrasses have been experiencing decline and/or fragmentation, however, were mixed. Genetic structure on the Texas coast was relatively weak and coincided more strongly with tidal range than with geographic barriers or distance. Rapid expansion and the discovery of identical multi-locus genotypes at several sites raises the possibility of migration via drifting vegetative fragments, as the geographic distance among certain multi-locus genotypes cannot be explained by rhizome growth models.
Using cumulative impact mapping to prioritise marine conservation efforts in Equatorial Guinea
<p>Marine biodiversity is under extreme pressure from anthropogenic activity globally, leading to calls to protect at least 10% of the world's oceans within marine protected areas (MPAs) and other effective area-based conservation measures by 2020. Fulfilling such commitments, however, requires a detailed understanding of the distribution of potentially detrimental human activities, and their predicted impacts. One such approach that is being increasingly used to strengthen our understanding of human impacts is cumulative impact mapping; as it can help identify economic sectors with the greatest potential impact on species and ecosystems in order to prioritise conservation management strategies, providing clear direction for intervention. In this paper, we present the first local cumulative utilisation impact mapping exercise for the Bioko-Corisco-Continental area of Equatorial Guinea's Exclusive Economic Zone – situated in the Gulf of Guinea one of the most important and least studied marine regions in the Eastern Central Atlantic. This study examines the potential impact of ten direct anthropogenic activities on a suite of key marine megafauna species and reveals that the most suitable habitats for these species, located on the continental shelf, are subject to the highest threat scores. However, in some coastal areas, the persistence of highly suitable habitat subject to lower threat scores suggests that there are still several strategic areas that are less impacted by human activity that may be suitable sites for protected area expansion. Highlighting both the areas with potentially the highest impact, and those with lower impact levels, as well as particularly damaging activities can inform the direction of future conservation initiatives in the region.</p>
Data from: Mapping tropical dry forest succession using multiple criteria spectral mixture analysis
Tropical dry forests (TDFs) in the Americas are considered the first frontier of economic development with less than 1% of their total original coverage under protection. Accordingly, accurate estimates of their spatial extent, fragmentation, and degree of regeneration are critical in evaluating the success of current conservation policies. This study focused on a well-protected secondary TDF in Santa Rosa National Park (SRNP) Environmental Monitoring Super Site, Guanacaste, Costa Rica. We used spectral signature analysis of TDF ecosystem succession (early, intermediate, and late successional stages), and its intrinsic variability, to propose a new multiple criteria spectral mixture analysis (MCSMA) method on the shortwave infrared (SWIR) of HyMap image. Unlike most existing iterative mixture analysis (IMA) techniques, MCSMA tries to extract and make use of representative endmembers with spectral and spatial information. MCSMA then considers three criteria that influence the comparative importance of different endmember combinations (endmember models): root mean square error (RMSE); spatial distance (SD); and fraction consistency (FC), to create an evaluation framework to select a best-fit model. The spectral analysis demonstrated that TDFs have a high spectral variability as a result of biomass variability. By adopting two search strategies, the unmixing results showed that our new MCSMA approach had a better performance in root mean square error (early: 0.160/0.159; intermediate: 0.322/0.321; and late: 0.239/0.235); mean absolute error (early: 0.132/0.128; intermediate: 0.254/0.251; and late: 0.191/0.188); and systematic error (early: 0.045/0.055; intermediate: −0.211/−0.214; and late: 0.161/0.160), compared to the multiple endmember spectral mixture analysis (MESMA). This study highlights the importance of SWIR in differentiating successional stages in TDFs. The proposed MCSMA provides a more flexible and generalized means for the best-fit model determination than common IMA methods.
Data from: Early treatment response in non-small cell lung cancer patients using diffusion-weighted imaging and functional diffusion maps - a feasibility study
Objective: The aim of this study was to prospectively evaluate the feasibility of monitoring treatment response to chemotherapy in patients with non-small cell lung carcinoma using functional diffusion maps (fDMs). Materials and Methods: This study was approved by the Cantonal Research Ethics Committee and informed written consent was obtained from all patients. Nine patients (mean age = 66 years; range = 53–76 years, 5 females, 4 males) with overall 13 lesions were included. Imaging was performed within two weeks before initiation of chemotherapy and at one, two, and six weeks after initiation of chemotherapy. Imaging included a respiratory-triggered diffusion-weighted sequence including three b-factors (100, 600, and 800 s/mm2). Treatment response was defined by change in tumor diameter on computed tomography (CT) after two cycles of chemotherapy. Changes in the apparent diffusion coefficient (ADC) on a per-lesion basis and the percentages of voxel with significantly increased or decreased ADCs on fDMs were analyzed using repeated measures analysis of variance (ANOVA). Changes in tumor size were used as covariate to examine the ability of ADCs and fDM parameters to predict treatment response. Results: Repeated measures ANOVA revealed that the percentage of voxels with increased ADCs on fDMs (p = 0.002) as well as the mean ADC increase (p = 0.011) were significantly higher in good responders with a large reduction in tumor size on CT. Conclusion: Our results indicate that the percentage of voxels with significantly increased ADCs on fDMs seems to be a promising biomarker for early prediction of treatment response in patients with non-small cell lung carcinoma. Contrary to averaged values, this approach allows the spatial heterogeneity of treatment response to be resolved.
Data from: First-generation linkage map for the European tree frog (Hyla arborea) with utility in congeneric species
Background: Western Palearctic tree frogs (Hyla arborea group) represent a strong potential for evolutionary and conservation genetic research, so far underexploited due to limited molecular resources. New microsatellite markers have recently been developed for Hyla arborea, with high cross-species utility across the entire circum-Mediterranean radiation. Here we conduct sibship analyses to map available markers for use in future population genetic applications. Findings: We characterized eight linkage groups, including one sex-linked, all showing drastically reduced recombination in males compared to females, as previously documented in this species. Mapping of the new 15 markers to the ~200 My diverged Xenopus tropicalis genome suggests a generally conserved synteny with only one confirmed major chromosome rearrangement. Conclusions: The new microsatellites are representative of several chromosomes of H. arborea that are likely to be conserved across closely-related species. Our linkage map provides an important resource for genetic research in European Hylids, notably for studies of speciation, genome evolution and conservation.
Map 1 in A revision of the genus Morphostenophanes Pic, 1925 (Coleoptera, Tenebrionidae, Stenochiinae, Cnodalonini)
Map 1. Distribution of the Morphostenophanes species. A. Enlargement of Central and Western Yunnan Province.
Map of Medieval Settlements, So. Tuscany
A wooden map of the Medieval connections between castles in Ssouthern Tuscany. Wooden model of a map representing the network of medieval castles between Mount Amiata and the Thyrrenian sea. Museum of Medieval Landscape, castle of Arcidosso, 2014. Model was created in Reality Capture using 637 photographs. The Mt. Amiata Project is an ongoing GDH collaboration involving faculty and students at the University of Florence and the University of Siena. We could not have done this project without the considerable support of the Municipality of Arcidosso. Source: Objaverse 1.0 / Sketchfab
Treasure map - Inktober
Source: Objaverse 1.0 / Sketchfab
The Map of the World tablet
Clay tablet; map of the world. Production date: 6thC BC (approx) Museum number: 92687 © The Trustees of the British Museum. Shared under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) licence. See: https://www.britishmuseum.org/collection/object/W_1882-0714-509 Source: Objaverse 1.0 / Sketchfab
Old World Map
Old map Iceland - Viking - Sea Monsters Source: Objaverse 1.0 / Sketchfab
final scores of mind map strategy
<p>the data shows the total score of each student, the mean scores of vocabulary and morphemes, reading, listening, speaking, and writing, and the mean hours of self medical English learning per week.</p>
A global map of mean annual runoff based on discharge observations from large catchments
<p>This report describes the development of a global map of mean annual runoff (MAR) based on discharge observations from 1651 large catchments (10,003 to 4,691,000 km<sup>2</sup>) around the globe. The map was produced based on the assumption that the mean annual volumetric discharge difference between a station and its upstream neighbor(s) represents the MAR generated in the interstation region. The produced map represents a unique spatial estimate of MAR at a global scale useful for, among other things, the spatial evaluation of macro-scale hydrological models. Compared to an equivalent map developed at the University of New Hampshire, the new map (i) is based on substantially more catchments (1651 versus 663), (ii) has a higher resolution (∼0.04° versus 0.5°), (iii) covers a larger portion of the hydrologically-active, ice-free land surface (58.9 % versus 56.5 %), and (iv) agrees considerably better with a completely independent MAR map based on small catchments.</p>
Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Berlin, Germany (Map-1)
<p>Heat Stress Exposure Maps - Base Scenario 1986 - 2005: Berlin, Germany</p> <p>Map-1 (zip.file) ref. to DOI: 10.5281/zenodo.45015</p> <p> </p>
Presentation on Hadoop and the Map=-Reduce formalism
<p>This is a talk on Hadoop and Map-Reduce given at the ISI in Bangalore.</p>
Domain mapping of full-length huntingtin by limited proteolysis with chymotrypsin (2016/03/16)
<p>Huntingtin structure-function open lab notebook project</p>
Domain mapping of full-length huntingtin by limited proteolysis with chymotrypsin (2016/03/15)
<p>Huntingtin structure function open lab notebook project</p>
Mapping the domains of full-length huntingtin (2016/03/10)
<p>Open lab note book for huntingtin structure-function project</p>
Lepidium campestre 576. Map in Welten & Ruben Sutter, Verbreitungsatlas der Farn- und Blütenplflanzen der Schweiz vol 1
<p>uploaded by Plazi</p>
Lepidium campestre, Map, In In: Landolt E., 2001. Flora des Kantons Zurich, page 551
<p>uploaded by Plazi</p>
FIGURES 32–34. Discozantaena distribution maps. —32. D. tibiovela. —33. D. leleupi. —34. D in A revision of the South African endemic humicolous beetle genus Discozantaena Perkins and BalfourBrowne (Coleoptera: Hydraenidae)
FIGURES 32–34. Discozantaena distribution maps. —32. D. tibiovela. —33. D. leleupi. —34. D. sepiola.
ScienceDex guides
Understand access before you commit
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.