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13,117 results for “Maps”
Counting areas and mapped craters for SPA basin and CE-6 landing area
<p>The datasets contain mapped craters in the SPA basin and CE-6 landing area.</p>
MAP 1 in Lectotypification and new data on the distribution of the Philippine endemic Liparis dumaguetensis (Orchidaceae)
MAP 1. Map showing the distribution of Liparis dumaguetensis. Prepared by: J.J. Ruales.
Drone-based geomorphology mapping of Borebreen in Svalbard, 2024
<p>This database contains drone-based mapping data of geomorphological areas in front of Borebreen, Svalbard, Norway. The dataset was generated using a structure-from-motion (SfM) method using drone-based imagery. The data was processed with Agisoft Metashape and the processed data consists of digital elevation models (DEMs) in georeferenced .TIF file format, orthomosaic maps in georeferenced .TIF file format, and textured 3D models in .STL file format. In addition, a process report in .PDF file format is included for each dataset. Mapping was conducted with a DJI Mavic 3 Pro Enterprise. The mapping was conducted August/September 2024. </p>
WRF met-data for generative diffusion model post-processing precipitation map
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GMDN-EMDN Mapping Project - Data Release
<h2>Description</h2> <pre>This release contains the datasets described in the paper "A Data-driven Algorithm Streamlining Medical Device Nomenclature Interoperability Through Large Language Models". The repository provides the necessary input data to reproduce the results presented in the paper, as well as all the output files described. Access to the files can be obtained, following a reasonable request, by contacting the Corresponding Author at <code>enrico.caiani@polimi.it</code>.</pre> <h2>Included in this release</h2> <div> <ul> <li><code>EMDN.csv</code>: EMDN dataset</li> <li><code>foiclass.zip</code>: FDA Product Code Classification Database</li> <li><code>GUDID_full_release.zip</code>: FDA GUDID data of American medical devices</li> <li><code>italian_medical_device_full_list.csv</code>: Italian medical devices dataset</li> <li>All output files described in the paper</li> <li>Additional files for further analysis</li> </ul> </div> <div> <h2>Acknowledgements</h2> </div> <div> <div> <pre>We thank the <a href="https://www.salute.gov.it/portale/home.html" target="_blank" rel="noopener">Italian Ministry of Health</a>, the <a href="https://www.fda.gov/" target="_blank" rel="noopener">U.S. Food and Drug Administration</a>, and the <a href="https://commission.europa.eu/index_en" target="_blank" rel="noopener">European Commission</a> for providing the datasets used in this project with public access.<br><br>For more information, please visit either this <a href="https://doi.org/10.5281/zenodo.13891146" target="_blank" rel="noopener">Zenodo repository</a> or the <a href="https://github.com/riccardogibello/md_nomenclature_mapping_project.git" target="_blank" rel="noopener">official GitHub repository</a>.</pre> </div> </div>
Daily Column average CO2 mapping combining OCO 3, GOSAT, and CAMS Data applying EOF and Deep learning from 2018 to 2023
<p>Reconstructed XCO2 dataset based on multisource geoinformation 2018-2023</p>
Figure S1: The expression of mapped genes across various tissues.
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Dataset related to article "Mapping Brain Small Metabolite Changes After Traumatic Brain Injury using AP-MALDI MSI"
<p>Raw data for figures 2,3 and 4 regarding mass spectrometry imaging dataset</p>
M3Net predicted saliency maps
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U2Net predicted saliency maps
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Linked collectors and determiners for: Lycopodiaceae of the Guianas: List of exsiccata and distribution maps.
Natural history specimen data linked to collectors and determiners held within, "Lycopodiaceae of the Guianas: List of exsiccata and distribution maps". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/8a5782ee-8260-4207-b59a-1498600db715">https://bionomia.net/dataset/8a5782ee-8260-4207-b59a-1498600db715</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/8a5782ee-8260-4207-b59a-1498600db715">https://gbif.org/dataset/8a5782ee-8260-4207-b59a-1498600db715</a>. Formatted as a Frictionless Data package.
The BASNet predicted saliency maps
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Cartoon: Achieving NetZero: Evaluating interventions to reduce carbon-emissions on the patient care pathway in secondary healthcare - A systematic review and evidence gap map
<p>These three cartoons provide a summary of findings from the systematic review entitled: "Effectiveness of interventions to reduce carbon-emissions within secondary healthcare: Systematic review and narrative synthesis.</p> <p>For further detail on the background, main results and recommendations arising from this systematic review, we recommend you consult the Full Repor and/or Briefing Paper linked below.</p> <p>This work is carried out by Exeter Policy Research Programme Evidence Review Facility [NIHR 200695]. Views expressed are those of the authors and not necessarily those of the NHS, NIHR, Greener NHS team or NHS England.</p> <p> </p> <p> </p>
Controlled Experiments with chatbots in education: a systematic mapping
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Fig. 7. Distribution maps. A in Cleotychini planthoppers from Perth region in Western Australia: The new genus Femotyche gen. nov., and more… (Hemiptera: Fulgoromorpha: Dictyopharidae)
Fig. 7. Distribution maps. A. Femotyche hortorum gen. et sp. nov. and F. kerryae gen. et sp. nov. B. Cleotychini gen. et sp. ind. from Western Australia.
Dataset - Vera San Martin et al (2024) Assessing Perceptions and Interpretations of Tsunami Maps: Insights from the Public and Risk Experts
<p>Supplementary materials to the manuscript titled: <strong>Assessing Perceptions and Interpretations of Tsunami Maps: Insights from the Public and Risk Experts</strong></p> <p>Authors: Teresa Vera San Martín, Gloria I. López, Carlos Mestanza-Ramón, Celene B. Milanés, and Fausto A. Canales</p> <p>Contains:</p> <ul> <li>Questionnaires for general users and experts (in English)</li> <li>JASP models</li> <li>Responses from participants (raw - in English and Spanish - and processed)</li> </ul>
Data from: Fine mapping of dominant X-linked incompatibility alleles in Drosophila hybrids
Sex chromosomes have a large effect on reproductive isolation and play an important role in hybrid inviability. In Drosophila hybrids, X-linked genes have pronounced deleterious effects on fitness in male hybrids, which have only one X chromosome. Several studies have succeeded at locating and identifying recessive X-linked alleles involved in hybrid inviability. Nonetheless, the density of dominant X-linked alleles involved in interspecific hybrid viability remains largely unknown. In this report, we study the effects of a panel of small fragments of the D. melanogaster X-chromosome carried on the D. melanogaster Y-chromosome in three kinds of hybrid males: D. melanogaster/D. santomea, D. melanogaster/D. simulans and D. melanogaster/D. mauritiana. D. santomea and D. melanogaster diverged over 10 million years ago, while D. simulans (and D. mauritiana) diverged from D. melanogaster over 3 million years ago. We find that the X-chromosome from D. melanogaster carries dominant alleles that are lethal in mel/san, mel/sim, and mel/mau hybrids, and more of these alleles are revealed in the most divergent cross. We then compare these effects on hybrid viability with two D. melanogaster intraspecific crosses. Unlike the interspecific crosses, we found no X-linked alleles that cause lethality in intraspecific crosses. Our results reveal the existence of dominant alleles on the X-chromosome of D. melanogaster which cause lethality in three different interspecific hybrids. These alleles only cause inviability in hybrid males, yet have little effect in hybrid females. This suggests that X-linked elements that cause hybrid inviability in males might not do so in hybrid females due to differing sex chromosome interactions.
Data from: Genetic mapping of novel loci affecting canine blood phenotypes
Since the publication of the dog genome and the construction of high-quality genome- wide SNP arrays, thousands of dogs have been genotyped for disease studies. For many of these dogs, additional clinical phenotypes are available, such as hematological and clinical chemistry results collected during routine veterinary care. Little is known about the genetic basis of variation in blood phenotypes, but this variation may play an important role in the etiology and progression of many diseases. From a cohort of dogs that had been previously genotyped on a semi-custom Illumina CanineHD array for various genome-wide association studies (GWAS) at Cornell University Hospital for Animals, we chose 353 clinically healthy, adult dogs for our analysis of clinical pathologic test results (14 hematological tests and 25 clinical chemistry tests). After correcting for age, body weight and sex, genetic associations were identified for amylase, segmented neutrophils, urea nitrogen, glucose, and mean corpuscular hemoglobin. Additionally, a strong genetic association (P = 8.1×10-13) was evident between a region of canine chromosome 13 (CFA13) and alanine aminotransferase (ALT), explaining 23% of the variation in ALT levels. This region of CFA13 encompasses the GPT gene that encodes the transferase. Dogs homozygous for the derived allele exhibit lower ALT activity, making increased ALT activity a less useful marker of hepatic injury in these individuals. Overall, these associations provide a roadmap for identifying causal variants that could improve interpretation of clinical blood tests and understanding of genetic risk factors associated with diseases such as canine diabetes and anemia, and demonstrate the utility of holistic phenotyping of dogs genotyped for disease mapping studies.
Data from: Model-based acceleration of Look-Locker T1 mapping
Mapping the longitudinal relaxation time T1 has widespread applications in clinical MRI as it promises a quantitative comparison of tissue properties across subjects and scanners. Due to the long scan times of conventional methods, however, the use of quantitative MRI in clinical routine is still very limited. In this work, an acceleration of Inversion-Recovery Look-Locker (IR-LL) T1 mapping is presented. A model-based algorithm is used to iteratively enforce an exponential relaxation model to a highly undersampled radially acquired IR-LL dataset obtained after the application of a single global inversion pulse. Using the proposed technique, a T1 map of a single slice with 1.6mm in-plane resolution and 4mm slice thickness can be reconstructed from data acquired in only 6s. A time-consuming segmented IR experiment was used as gold standard for T1 mapping in this work. In the subsequent validation study, the model-based reconstruction of a single-inversion IR-LL dataset exhibited a T1 difference of less than 2.6% compared to the segmented IR-LL reference in a phantom consisting of vials with T1 values between 200ms and 3000ms. In vivo, the T1 difference was smaller than 5.5% in WM and GM of seven healthy volunteers. Additionally, the T1 values are comparable to standard literature values. Despite the high acceleration, all model-based reconstructions were of a visual quality comparable to fully sampled references. Finally, the reproducibility of the T1 mapping method was demonstrated in repeated acquisitions. In conclusion, the presented approach represents a promising way for fast and accurate T1 mapping using radial IR-LL acquisitions without the need of any segmentation.
Map 2 from: Belousov IA, Kabak II (2021) Yalongaphaenops erwini gen. et sp. nov., the world's most high-altitude hypogean trechine beetle from China (Coleoptera, Carabidae, Trechinae). In: Spence J, Casale A, Assmann T, Liebherr JК, Penev L (Eds) Systematic Zoology and Biodiversity Science: A tribute to Terry Erwin (1940-2020). ZooKeys 1044: 197-220. https://doi.org/10.3897/zookeys.1044.62572
Map 2 Relief map of the area nearby the type locality of Y. erwini gen. et sp. nov. The yellow line shows the closest distance to the upper forest limit
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.