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13,117 results for “Maps”
Code and data for "Mapping the natural disturbance risk to protective forests across the European Alps"
<p>This repository holds the code and output data for the publication entitled "Mapping the natural disturbance risk to protective forests across the European Alps",<br>accepted in the Journal of Environmental Management, see <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.jenvman.2024.121659" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.jenvman.2024.121659</span></a></p> <p>The output maps can be viewed online here: <a href="https://risiko-gebirgswald.shinyapps.io/maps/">https://risiko-gebirgswald.shinyapps.io/maps/ </a></p> <ul> <li><strong>lib</strong>: scripts used for data processing and analysis</li> <li><strong>Alps</strong>: output data (hazard, vulnerability and risk maps) for the European Alps</li> <li><strong>Bayern</strong>: output data (hazard, vulnerability and risk maps) for the Bavarian Alps</li> </ul> <p>All of the data used in this study are publicly available:</p> <ul> <li>GEDI Level 2A and 2B products can be downloaded at<a href="https://lpdaac.usgs.gov/products/gedi02_av002/"> https://lpdaac.usgs.gov/products/gedi02_av002/ </a>and <a href="https://lpdaac.usgs.gov/products/gedi02_bv002/">https://lpdaac.usgs.gov/products/gedi02_bv002/</a>, respectively. </li> <li>The European disturbance map (Senf & Seidl, 2021) is available at <a href="https://doi.org/10.5281/zenodo.3924381">https://doi.org/10.5281/zenodo.3924381 </a></li> <li>The attribution of disturbance agents for the disturbance map is available at <a href="../records/4607230">https://zenodo.org/records/4607230</a></li> <li>CHELSA climate data is available at <a href="https://www.chelsa-climate.org">www.chelsa-climate.org</a></li> <li>The Copernicus DEM can be downloaded from <a href="https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.">https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1.1.</a></li> <li>Wind data were obtained from <a href="https://map.neweuropeanwindatlas.eu/">https://map.neweuropeanwindatlas.eu/</a></li> <li>Soil data were obtained from <a href="https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data.">https://esdac.jrc.ec.europa.eu/content/european-soil-database-v20-vector-and-attribute-data. </a></li> <li>The boundary of the Alpine convention is available at <a href="https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2">https://www.atlas.alpconv.org/layers/geonode_data:geonode:Alpine_Convention_Perimeter_2018_v2 </a></li> </ul>
Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction
<p>Expression quantitative trait loci (eQTLs) provide a key bridge between noncoding DNA sequence variants and organismal traits. The effects of eQTLs can differ among tissues, cell types, and cellular states, but these differences are obscured by gene expression measurements in bulk populations. We developed a one-pot approach to map eQTLs in <em>Saccharomyces cerevisiae</em> by single-cell RNA sequencing (scRNA-seq) and applied it to over 100,000 single cells from three crosses. We used scRNA-seq data to genotype each cell, measure gene expression, and classify the cells by cell-cycle stage. We mapped thousands of local and distant eQTLs and identified interactions between eQTL effects and cell-cycle stages. We took advantage of single-cell expression information to identify hundreds of genes with allele-specific effects on expression noise. We used cell-cycle stage classification to map 20 loci that influence cell-cycle progression. One of these loci influenced the expression of genes involved in the mating response. We showed that the effects of this locus arise from a common variant (W82R) in the gene <em>GPA1</em>, which encodes a signaling protein that negatively regulates the mating pathway. The 82R allele increases mating efficiency at the cost of slower cell-cycle progression and is associated with a higher rate of outcrossing in nature. Our results provide a more granular picture of the effects of genetic variants on gene expression and downstream traits.</p>
Data for manuscript : Effect of spatial training on space-number mapping: A situated cognition account
<p><span>From an embodied perspective of cognition, sensorimotor mechanisms play a crucial role in abstract processing, such as the understanding of Arabic numerals. For instance, spatial cognition can influence number processing. These </span><span>spatial–numerical</span><span> associations (SNAs) have been thoroughly investigated since the pioneering </span><span>spatial–numerical association of response codes (SNARC) effect</span><span>, which demonstrates faster left/right responses to small/large numbers, respectively. While there </span><span>has been</span><span> no systematic assessment of SNAs on other planes in three-dimensional space in the literature, recent primary </span><span>evidence has</span><span> revealed that SNAs along </span><span>the transverse and sagittal planes </span><span>are</span><span> mutually exclusive </span><span>with respect</span><span> </span><span>to the required spatial reference frames used by the participant.</span><strong><span> </span></strong><span>Specifically, under </span><span>egocentric</span><span> spatial reference frames</span><span>,</span><span> SNAs have been observed only along the sagittal plane, </span><span>whereas</span><span> under</span><span> allocentric reference </span><span>frames, </span><span>the </span><span>reverse</span><span> pattern has been observed</span><span>,</span><span> with SNAs present exclusively along the transverse plane of the body. Given </span><span>this</span><span> empirical </span><span>evidence</span><span>, we have hypothesized that the subject's ability to switch spatial reference frames to match that of another person could significantly </span><span>influence</span><span> the occurrence of SNAs according to the processed plane. Therefore, this study has two aims. The first is to replicate </span><span>previous</span><span> seminal findings. The second is to investigate how referential </span><span>frame</span><span> switching (RFS) training can affect this organization. </span><span>While the results of</span><span> the two experiments reveal a general replication, more importantly, we find that RFS training enables </span><span>the development of</span><span> new situated cognition strategies </span><span>from</span><span> egocentric perspectives and </span><span>the generalization of</span><span> transverse SNAs to other spatial planes </span><span>from</span><span> allocentric perspectives.</span></p>
Diffusion map objects of FACS-sorted (CD31+/CD45-) endothelial cells
<p><strong>Diffusion map objects of FACS-sorted (CD31+/CD45-) endothelial cells<br></strong></p> <p><em><span>-> part of the manuscript: Single-cell atlas of the human brain vasculature across development, adulthood and disease</span></em><span><br><em><span>https://www.nature.com/articles/s41586-024-07493-y</span></em></span></p> <p><strong> </strong></p> <p>-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------</p> <p> </p> <p><em>-i) Fetal CNS sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from fetal brain (Fetal CNS).<br><br><em>- ii) Adult control brain (temporal lobe) sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from adult/control brains (temporal lobes).<br><br><em>- iii) AVM sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain arteriovenous malformations (AVM) (a brain vascular malformation).<br><br><em>- iv) LGG sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from lower-grade gliomas (LGG) (a brain tumor)<br><br><em>- v) GBM sorted endothelial cells_diffusionmap.rds:</em> <br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from high-grade gliomas (glioblastoma (GBM)) (a brain tumor).<br><br><em>- vi) MET sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain metastasis (MET) (a brain tumor).<br><br><em>- vii) MEN sorted endothelial cells_diffusionmap.rds: </em><br> -> this is a diffusion map object of FACS-sorted (CD31+/CD45-) endothelial cells isolated from brain meningioma (MEN) (a brain tumor).</p>
Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study (supplementary material)
<p>This repository contains supplementary material for the manuscript "Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study":</p> <ul> <li>Gamification for Enhancing Soft Skills Development.CSV: Meta-data and raw data extracted from papers inlcuding in the mapping study</li> </ul>
FIGURE 48. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 48. Habitus and distribution maps. a: Stethorus cribripennis; b: S. tridens; c: S. utilis. Scale: 10 mm.
FIGURE 43. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 43. Habitus and distribution maps. a: Tenuisvalvae bisquinquepustulata; b: T. bromelicola; c: T. caucaensis; d: T. gnoma; e: T. notata; f: T. parenthesis; g: Thalassa glauca; h: T. korschefskyi; i: T. similaris. Scale: 10 mm.
FIGURE 28. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 28. Habitus and distribution maps. a: Jaguarita separata; b: J. vogli; c: Microneda perrisi; d: M. sicheli; e: Mononeda ostrina; f: Mulsantina mexicana; g: Naemia seriata; h: Neda aequatoriana; i: N. amandi. Scale: 10 mm.
FIGURE 25. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 25. Habitus and distribution maps. a: Siola garnieri; b: Eupalea aurantia; c: E. colombiensis; d: E. formosa; e: E. mniszechii; f: Anatis lebasii; g: Carpinchita devestita; h: Cheilomenes sexmaculata; i: Chloroneda metallica. Scale: 10 mm.
FIGURE 44. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 44. Habitus and distribution maps. a: Mimoscymnus howdenorun; b: M. pseudomacula; c: M. terminatus; d: Novius cardinalis; e: N. punicus; f: Zenoria formosa; g: Z. pilosula; h: Z. similaris; i: Z. stellaris. Scale: 10 mm.
FIGURE 31. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 31. Habitus and distribution maps. a: Psyllobora lata; b: P. lenta; c: P. liliputiana; d: P. luctuosa; e: P. lutescens; f: P. roei; g: P. vigintimaculata; h: Spilindolla vigintiduonotata; i: Spiloneda gilardini. Scale: 10 mm.
FIGURE 39. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 39. Habitus and distribution maps. a: Toxotoma azurea; b: T. cruciata; c: T. flavofasciata; d: T. hybridula; e: T. inserta; f: T. monovittata; g: T. murilloi; h: T. paracuta i: T. taeniola. Scale: 10 mm.
FIGURE 47. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 47. Habitus and distribution maps. a: Scymnobius imitator; b: S. obscurus; c: S. rotundus; d: Scymnus (Pullus) cerinotum; e: S.(P.) diekei; f: S.(P.) loewii; g: S.(P.) murilloi; h: S.(P.) rohdendorfi; i: S.(P.) rubicundus. Scale: 10 mm.
FIGURE 22. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 22. Habitus and distribution maps. a: Prodilis olivia; b: P. pallidifrons; c: P. ramona; d: P. sheryl; e: Chilocorus cacti; f: C. nigrita; g: Curinus coeruleus; h: C. colombianus; i: Harpasus ferrugineus. Scale: 10 mm.
FIGURE 35. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 35. Habitus and distribution maps. a: Epilachna cacica; b: E. caucaensis; c: E. cinctipennis; d: E. colombiana; e: E. consularis; f: E. cordula; g: E. darlingtoni; h: E. eximia; i: E. extrema. Scale: 10 mm.
FIGURE 21. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 21. Habitus and distribution maps. a: Serratitibia kelly; b: S. nancy; c: Neaporia hilda; d: N. laboulbenii; e: Prodilis belinda; f: P. isabel; g: P. madeline; h: P. maggie; i: P. molly. Scale: 10 mm.
FIGURE 19. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 19. Habitus and distribution maps. a: Dilatitibialis crystal; b: D. florifera; c: D. jucunda; d: D. luteola; e: D. mulsanti; f: D. norma; g: D. scenica; h: D. sheila; i: Hinda decas. Scale: 10 mm.
FIGURE 20. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 20. Habitus and distribution maps. a: Hinda decemverrucata; b: H. designata; c: Serratitibia arcualis; d: S. ashley; e: S. bisquatuorpustulata; f: S. brenda; g: S. galliardi; h: S. joan; i: S. judith. Scale: 10 mm.
FIGURE 34. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 34. Habitus and distribution maps. a: Adira richteri; b: A. subcincta; c: Damatula colombiana; d: D. porioides; e: Epilachna aculata; f: E. amplipunctata; g: E. bituberculata; h: E. bonplandi; i: E. boraustralis. Scale: 10 mm.
FIGURE 27. Habitus and distribution maps. a in Coccinellidae (Coleoptera: Coccinelloidea) from Colombia: A systematic and illustrated list
FIGURE 27. Habitus and distribution maps. a: Cycloneda decempunctata; b: C. sallei; c: C. tricolorata; d: Egleis adjuncta; e: Eriopis punicola; f: Erythroneda vigilans; g: Harmonia axyridis; h: H. quadripunctata; i: Hippodamia convergens. Scale: 10 mm.
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.