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13,117 results for “Maps”
LA-ICP-MS/MS-based Rb-Sr isotope mappings for geochronology
<p>This is a complementary dataset to the publication LA-ICP-MS/MS-based Rb-Sr isotope mappings for geochronology by Martin Kutzschbach & Johannes Glodny.</p> <p>It contains both raw and corrected isotope ratios of reference materials and sample of all six sessions. Furthermore, the dataset includes Rb/Sr isotope ratios and Rb-Sr ages for every individual pixel within the mica segments outlined in the mappings. Additionally, high-resolution, unedited elemental maps, isotope ratio maps, and Rb-Sr age maps are provided for GER2B, Wil1A, and GÄD08</p>
Data from: Subspecies-level distribution maps for birds of the amazon basin and adjacent areas
<p>Available distribution datasets used to assess the range extantion of biological species are often at a species-level taxonomy. Because different taxonomy biases, many bird subspecies from the Neotropical region may deserve full species status. We provide range polygons for 3,990 subspecies of birds, representing 2,043 species from 65 families. All taxa are from the Amazon region, which includes the entire Amazon basin, the east slope of tropical Andes, French Guiana, Suriname, Guyana, south Venezuela (Bolivar and Amazonas departments), parts of the Brazilian Cerrado, and the Araguaia-Tocantins basin. These new maps of Amazonian bird subspecies distributions will improve and refine analyses on biodiversity studies (e.g. macroecology, evolution, conservation), and facilitate biogeographic, ecological, evolutionary, and conservation research on birds in the most biologically diverse region in the world.</p>
The data of "A comparison of citation-based clustering and topic modeling for science mapping"
<p>These files consist of the data used in "A comparison of citation-based clustering and topic modeling for science mapping". </p> <p> </p>
Enhanced Mapping of Small Molecule Binding Sites in Cells
<p>Selected docking poses for Wozniak et al manuscript. File name include the structure id (PDBID or Alphafold model) and the probe id, separated by an underscore (i.e., 6tjk_4.pdb, or AF-P10620-F1-model_6.pdb).</p>
Public database of multilingual map reading test
<p>The Excel file contains the filtered data records of the map-reading study of the Research Group on Experimental Cartography at the Eötvös Loránd University (ktk.elte.hu). The data collection started in the autumn of 2015 and lasted until April 2022. The file contains three sheets: demographic_questions; correct_answers; map_reading_database. The first two sheets contain the questions asked, the answer codes, and the correct answers. The third one has 511 records, which is the result of a filtering of the original 805 fills. The filtering excluded the unfinished tests, and the ones with fill time below 2.5 minutes and above 15 minutes.</p>
Brainwaves Monitoring via Human Midbrain Organoids Microphysiological Analysis Platform: MAP
<p>This dataset corresponds to the research manuscript entitled "Brainwaves Monitoring via Human Midbrain Organoids Microphysiological Analysis Platform: MAP"</p>
Satellite images and road-reference data for AI-based road mapping in Equatorial Asia
<p><span>1. </span><span>INTRODUCTION</span></p> <p><span>For the purposes of training AI-based models to identify (map) road features in rural/remote tropical regions on the basis of true-colour satellite imagery, and subsequently testing the accuracy of these AI-derived road maps, we produced a dataset of 8904 satellite image 'tiles' and their corresponding known road features across Equatorial Asia (Indonesia, Malaysia, Papua New Guinea).</span><span> </span></p> <p><span>2. </span><span>FURTHER INFORMATION</span></p> <p><span>The following is a summary of our data. Fuller details on these data and their underlying methodology are given in the corresponding article, under consideration by the journal Remote Sensing as of September 2023: </span></p> <p><span>Sloan, S., Talkhani, R.R., Huang, T., Engert, J., Laurance, W.F. (2023) Mapping remote roads using artificial intelligence and satellite imagery. Under consideration by Remote Sensing.</span></p> <p><span>Correspondence regarding these data can be directed to:</span></p> <p><span>Sean Sloan</span></p> <p>Department of Geography, Vancouver Island University, Nanaimo, B.C, Canada</p> <p><span><a href="mailto:sean.sloan@viu.ca"><span>sean.sloan@viu.ca</span></a></span>; </p> <p><span>Tao (Kevin) Huang</span></p> <p>College of Science and Engineering, James Cook University, Cairns, Queensland 4878, Australia</p> <p><a href="mailto:tao.huang1@jcu.edu.au">tao.huang1@jcu.edu.au</a><span> </span></p>
Shifts in Mapping, research project 2018–2021
<p>“Shifts in Mapping” (2018-2021) is a fundamental research project initiated by Dr. Christine Schranz with a focus on digital maps and critical mapping, carried at the FHNW Academy of Arts and Design in Basel, with the support from the Swiss National Science Foundation (SNSF).<br> <br> Principal Investigator, Book Editor, Exhibition Co-Curator: Dr. Christine Schranz<br> <br> Video Production: Maria Smigielska<br> Soudtrack: Vodovoz Music Production</p>
Handmade Data for Sketch Map Creation
<p>Handmade data created for automatic sketch map creation.</p>
Accelerated discovery and mapping of block copolymer phase diagrams
<p class="MsoNormal">Block copolymers are widely used in many applications due to their spontaneous self-assembly into a variety of nanoscale morphologies. However, a grand challenge in navigating this diverse and ever-growing array of possible structures is the accelerated discovery, design, and implementation of new materials. Here, we report a versatile and efficient strategy to accelerate materials discovery by rapidly building expansive, high-quality, and detailed block copolymer libraries through a combination of controlled polymerization and chromatographic separation. To illustrate the potential of this approach, a family of 16 parent diblock copolymers was synthesized and separated, leading to over 300 distinct and well-defined samples at the multigram scale. The resulting materials span a wide range of compositions with exceptional resolution in volume fraction and domain spacing that allows for the impact of monomer design on polymer self-assembly to be elucidated. Phase behavior that can be gleaned from these libraries includes the precise location of order–order boundaries and the identification of morphologies with extremely narrow windows of stability. This user-friendly, scalable, and automated approach to discovery significantly increases the availability of well-defined block copolymers with tailored molecular weights, molar-mass dispersities, compositions, and segregation strengths, accelerating the study of structure–property relationships in advanced soft materials.</p>
Block 73--63k scale--Survey of India Maps
<p>391 maps of the Survey of India covering block 73</p>
Block 58--63 scale--Survey of India Maps
<p>316 maps of the Survey of India covering block 58.</p>
Block 57--63k scale--Survey of India Maps
<p>349 maps of the Survey of India covering block 57.</p>
Block 56--63k scale--Survey of India Maps
<p>293 maps of the Survey of India covering block 56.</p>
Data from: High-resolution crossover maps for each bivalent of Zea mays using recombination nodules
<p>Recombination nodules (RNs) mark sites of crossing over along pachytene synaptonemal complexes (SCs). Thus, RNs provide the highest resolution cytological marker currently available for defining the frequency and distribution of crossovers along the length of chromosomes because they are observed by electron microscopy. Using the maize inbred line KYS, we have prepared an SC karyotype in which each SC was identified by relative length and arm ratio and related to the proper linkage group using inversion heterozygotes. We mapped 4272 RNs on 2080 identified SCs to produce high-resolution maps of RN frequency and distribution on each bivalent. Average RN frequency per bivalent is closely correlated with SC length. The total length of the RN map is about two-fold shorter than most linkage maps, but there is good correspondence between the relative lengths of the different maps when individual bivalents are considered. Each bivalent has a unique distribution of crossing over, but all bivalents share a high frequency of distal RNs and a severe reduction of RNs at and near kinetochores. The frequency of RNs at knobs is either similar to or higher than the average frequency of RNs along the SCs. These RN maps represent an independent measure of crossing over along maize bivalents.</p>
Updated Pinus lambertiana high-density linkage maps
<p>Sugar pine (<em>Pinus</em> <em>lambertiana</em>) is a five-needle pine of great economical and ecological importance in western North America. Genome-wide analyses in the species have been limited by the absence of a chromosome-scale reference genome. The genome of the species is one of the largest in any plant diploid species, with a size of 31 Gb, making assembly and annotation very challenging.</p> <p>Here we present high-density linkage maps that were used to help scaffolding a new chromosome-scale genome of sugar pine (assembly version 2.0, unpublished). </p>
Site entropy mapped to PB1 structure
<p>The influenza virus polymerase is central to influenza virus evolution. Adaptive mutations within the polymerase are often a prerequisite for efficient spread of novel animal-derived viruses in human populations. The polymerase also determines fidelity, and therefore the rate at which the virus will acquire mutations that lead to host range expansion, drug resistance, or antigenic drift. Despite its importance to viral replication and evolution, our understanding of the mutational effects and associated constraints on the influenza RNA-dependent RNA polymerase (RdRp) is relatively limited. We performed deep mutational scanning of the A/WSN/1933(H1N1) PB1, generating a library of 95.4% of amino acid substitutions at 757 sites. After accuracy filters, we were able to measure replicative fitness for 13,354 (84%) of all possible amino acid substitutions, and 13 were validated by results from pairwise competition assays. Functional and structural constraints were better revealed by individual sites involved in RNA or protein interactions than by major subdomains defined by sequence conservation. Mutational tolerance, as defined by site entropy, was correlated with evolutionary potential, as captured by diversity in available H1N1 sequences. Of 29 beneficial sites, many have either been identified in the natural evolution of PB1 or shown experimentally to have important impacts on replication and adaptation. Accessibility of amino acid substitutions by single nucleotide mutation was a key factor in determining whether mutations appeared in natural PB1 evolution. Our work provides a comprehensive map of mutational effects on a viral RdRp and a valuable resource for subsequent studies of influenza replication and evolution.</p>
Data from: Community Credit mapping of trust in consumer financial services
<p class="MsoNormal">The Community Credit research project explores pathways for trusted collaboration between credit unions and the communities they serve. To understand the experiences of people historically underserved by the consumer financial services industry, we focused in particular on the lived experience of low-income residents in Southern California. As part of a larger, mixed-methods study, in 2022 we mapped the landscape of financial services providers and advertisements in low-income neighborhoods in Orange County. Through documenting the presence of alternative financial services (AFS) providers and fringe financial advertisements, alongside traditional financial services providers, we investigated the spatial relationship between these businesses, as well as the factors that create consumers' sense of (dis)trust in them. This data set contains photographs taken as part of this mapping research.</p> <p class="MsoNormal">All study materials and procedures were approved by the University of California, Irvine Office of Human Research Protections and the Institutional Review Board (protocol ID 20216839). This material is based upon work supported by the National Science Foundation under Grant No. 2137567. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Integrating animal tracking datasets at a continental scale for mapping wildlife habitat
<div><em>Aim:</em></div> <div> </div> <div>The increasing availability of animal tracking datasets collected across many sites provides new opportunities to move beyond local assessments to enable detailed and consistent habitat mapping at biogeographic scales. However, integrating wildlife datasets across large areas and study sites is challenging, as species' varying responses to different environmental contexts must be reconciled. Here, we compare approaches for large-area habitat mapping and assess available habitat for a recolonizing large carnivore, the Eurasian lynx (Lynx lynx).</div> <div> </div> <div> <em>Location: </em>Europe</div> <div> </div> <div><em>Methods:</em></div> <div> </div> <div>We use a continental-scale animal tracking database (450 individuals from 14 study sites) to systematically assess modeling approaches, comparing (1) global strategies that pool all data for training vs. building local, site-specific models and combining them, (2) different approaches for incorporating regional variation in habitat selection, and (3) different modeling algorithms, testing nonlinear mixed effects models as well as machine-learning algorithms.</div> <div> </div> <div><em>Results:</em></div> <div> </div> <div>Both global and local modeling strategies allowed building transferable habitat models with overall similar predictive performance. Model performance was the highest using flexible machine-learning algorithms and when incorporating variation in habitat selection as a function of environmental variation. Our best-performing model used a weighted combination of local, site-specific habitat models. Our habitat maps identified large areas of suitable, but currently unoccupied lynx habitat, with many of the most suitable unoccupied areas located in regions that could foster connectivity between currently isolated populations.</div> <div> </div> <div><em>Main conclusions:</em></div> <div> </div> <div>We demonstrate that global and local modeling strategies can achieve robust habitat models at the continental scale and that considering regional variation in habitat selection improves broad-scale habitat mapping. More generally, we highlight the promise of large wildlife tracking databases for large-area habitat mapping. Our maps provide the first high-resolution, yet continental assessment of lynx habitat across Europe, providing a consistent basis for conservation planning for restoring the species within its former range.</div>
The superior frontal sulcus in the human brain – Morphology and probability maps
<p><span>The superior frontal sulcus (SFS) is a major sulcus on the dorsolateral frontal cortex that defines the lateral limit of the superior frontal gyrus. Caudally, it originates </span>near the superior precentral sulcus (SPRS) and rostrally, it terminates near the frontal pole. T<span>he advent of structural neuroimaging has revealed that this primary sulcus shows significant variability below the surface which is not captured by the classic sulcal maps. The present investigation examined the morphological variability of the SFS in 50 individual magnetic resonance imaging (MRI) scans of the human brain that were registered to the Montreal Neurological Institute (MNI) standard stereotaxic space. Two primary morphological patterns were identified: i) the SFS was classified as either a continuous sulcus or ii) the SFS was a complex of sulcal segments. Further, the SFS showed a high probability of merging with neighboring sulci on the superior and middle frontal gyri, and these patterns were documented. In addition, the morphological variability and spatial extent of the SFS were quantified using volumetric and surface spatial probability maps. The results from the current investigation provide an anatomical framework for understanding the sulcal morphology of the SFS, which is critical for the interpretation of structural and functional neuroimaging data in the dorsolateral frontal region, as well as for improving the accuracy of neurosurgical interventions. </span></p>
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.