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1,868 results for “Spatial Data”
FIGURES 19–24 in Taxonomy of spatially disjunct alpine Teleiopsis albifemorella s. lat. (Lepidoptera: Gelechiidae) revealed by molecular data and morphology — how many species are there?
FIGURES 19–24. Segment VIII of male Teleiopsis. 19–21, T. albifemorella: 19, Austria (North Tyrol), slide GEL 1166; 20, Austria (Upper Austria), slide GEL 1167; 21, Slovenia, slide GEL 1163. 22–24, T. paulheberti sp. nov.: 22, holotype, Italy (Cuneo), slide GEL 1159; 23, paratype, Italy (L´Aquila), slide GEL 1169; 24, paratype, France (Hautes-Alpes), slide GEL 1172.
FIGURES 15–18 in Taxonomy of spatially disjunct alpine Teleiopsis albifemorella s. lat. (Lepidoptera: Gelechiidae) revealed by molecular data and morphology — how many species are there?
FIGURES 15–18. Male genitalia of Teleiopsis paulheberti sp. nov. 15, holotype, Italy (Cuneo), slide GEL 1159; 16, paratype, Italy (L´Aquila), slide GEL 1169; 17, paratype, France (Hautes-Alpes), slide GEL 1172; 18, as 17, diagnostic details of uncusgnathos region.
FIGURES 1–6 in Taxonomy of spatially disjunct alpine Teleiopsis albifemorella s. lat. (Lepidoptera: Gelechiidae) revealed by molecular data and morphology — how many species are there?
FIGURES 1–6. Adults of Teleiopsis albifemorella, males. 1–2, Austria (North Tyrol); 3, Austria (Upper Austria); 4, Italy (Udine); 5, Italy (South Tyrol); 6, Italy (Verona).
FIGURES 11–14 in Taxonomy of spatially disjunct alpine Teleiopsis albifemorella s. lat. (Lepidoptera: Gelechiidae) revealed by molecular data and morphology — how many species are there?
FIGURES 11–14. Male genitalia of Teleiopsis albifemorella. 11, Austria (North Tyrol), slide GEL 1166; 12, Austria (Upper Austria), slide GEL 1167; 13, Slovenia, slide GEL 1163; 14, as 13, diagnostic details of uncus-gnathos region.
Data: Spatially consistent microbial biomass and future cellular carbon release from melting Northern Hemisphere glacier surfaces
<p>Hydrology, flow cytometry and upscaling data for the manuscript "Spatially consistent microbial biomass and future cellular carbon release from melting Northern Hemisphere glacier surfaces". Each .zip file includes an individual 'readme' document.</p>
Data and code for "Spatial evolution of human cultures inferred through Bayesian phylogenetic analysis."
<p>Data and code for "Spatial evolution of human cultures inferred through Bayesian phylogenetic analysis."</p>
Data from: Application of Spatial-ID to large field mouse brain hemisphere dataset measured by Stereo-seq
<p>The application of Spatial-ID on the large field mouse brain hemisphere dataset measured by Stereo-seq technology. Briefly, three adjacent coronal sections along the anterior-posterior axis were cut from the brain 5-week-old male mouse. It fully proves the innovation and applicability of Spatial-ID.</p>
Data for: Depth and temperature drive patterns of spatial overlap among fish thermal guilds in lakes across Ontario, Canada
<p>Aim: As fishes are ectothermic, their spatial distributions are strongly dependent on the temperature of their environments. In temperate lakes, fishes with different thermal optima can become spatially segregated during summer stratification. This habitat partitioning, or niche complementarity, may play a role in the coexistence of trophically similar species; however, the extent of partitioning is dependent on the resources available within each habitat. Although habitat partitioning of fish thermal guilds has been studied in individual lakes, broad-scale patterns of spatial overlap and segregation are not yet understood. In this study, we explore the patterns and drivers of spatial overlap among thermal guilds (cold-, cool-, and warm-water) at a broad scale.</p> <p>Location: Ontario, Canada.</p> <p>Methods: We explored patterns of spatial overlap among three thermal guilds, estimated from standardized gillnetting, in 438 lakes. We used a multivariate regression tree to identify such patterns, as well as the environmental factors that drive these patterns.</p> <p>Results: We identified five clusters of lakes exhibiting different patterns of spatial overlap among the three thermal guilds. Temperature (growing degree days) and maximum lake depth were strong drivers of the spatial overlap patterns. The proportional abundance of each thermal guild was similar among the clusters but there was some evidence of species turnover within the warm-water guild.</p> <p>Main conclusions: These findings not only provide a better understanding of broad-scale patterns of spatial overlap, but also allow us to predict how spatial overlap, and ultimately species interactions and competition, may change under a warming climate.</p>
Processed data used for spatial analysis of DMD mouse models
<p>This repository contains seurat objects and .H5AD files that were used in the analysis described in the paper titled <strong>"Spatial transcriptomics reveal markers of histopathological changes in Duchenne muscular dystrophy mouse models"</strong> Authors: L.G.M. Heezen, T. Abdelaal, M. van Putten, A. Aartsma-Rus, A. Mahfouz and P. Spitali</p> <p>It contains datafiles obtained from spatial transcriptomics (Visium, 10x Genomics) experiments on skeletal muscle samples from two wildtypes: C57BL10 and DBA/2J and two DMD mouse models: mdx and D2-mdx. All ten weeks old male mice, 10micron thick sections of the quadriceps.</p>
Data and code for: Human density modulates spatial associations among tropical forest terrestrial mammal species
<p>The spatial aggregation of species pairs often increases with the ecological similarity of the species involved. However, the way in which environmental conditions and anthropogenic activity affect the relationship between spatial aggregation and ecological similarity remains unknown despite the potential for spatial associations to affect species interactions, ecosystem function, and extinction risk. Given that human disturbance has been shown to both increase and decrease spatial associations among species pairs, ecological similarity may have a role in mediating these patterns. Here, we test the influences of habitat diversity, primary productivity, human population density, and species' ecological similarity based on functional traits (i.e., functional trait similarity) on spatial associations among tropical forest mammals. Large mammals are highly sensitive to anthropogenic change and therefore susceptible to changes in interspecific spatial associations. Using two-species occupancy models and camera trap data, we quantified the spatial overlap of 1,216 species pairs from 13 tropical forest-protected areas around the world. We found that the association between ecological similarity and interspecific species associations depended upon surrounding human density. Specifically, aggregation of ecologically similar species was more than an order of magnitude stronger in landscapes with the highest human density compared to those with the lowest human density, even though all populations occurred within protected areas. Human-induced changes in interspecific spatial associations have been shown to alter top-down control by predators, increase disease transmission and increase local extinction rates. Our results indicate that anthropogenic effects on the distribution of wildlife within protected areas are already occurring and that impacts on species interactions, ecosystem functions, and extinction risk warrant further investigation. </p>
Data for: Multiple antipredator behaviors in red-tailed monkeys reveal spatially distinct landscapes of fear
<p>Foraging opportunity and predation risk act as opposing influences on an animal's habitat use. "Landscapes of fear" (LOF), whereby one predicts the spatial distribution of predators or perceived predator presence using prey responses, are an important tool for modeling this conflict. LOF models examining perceived predation risk are often generated using a single behavioral metric, even though individuals can respond to predation pressure with multiple potential behaviors. Here, we expanded traditional LOF approaches by measuring three antipredator behaviors in wild red-tailed monkeys (<em>Cercopithecus ascanius</em>): aggregation, alarm calling, and vigilance. We predicted that each behavior would reveal spatially explicit regions of high risk, as each behavior may attend to different aspects of perceived predation risk. The use of different behaviors may depend upon factors such as vegetation type, age/sex class of an individual, and which other antipredator behaviors are being exhibited by group members. We collected data on two troops of monkeys in the Issa Valley, Tanzania for over 19 months and conducted 3,189 group follows. We found that vegetation type varied in its effect on antipredator behavior. Monkeys conducted more antipredator behavior in more open vegetation types compared to more closed, riparian forests. The LOF models generated for each behavior mapped distinct and predominantly non-overlapping spatial regions of perceived predation risk, which was replicated across the two groups. This suggested that monkeys responded differently across their home range to specific perceived risks. Such spatially explicit behavior may indicate vegetation-specific predation risk or unique trade-offs in antipredator behavior throughout a heterogenous habitat.</p>
Data set for the journal article: The Spatial Distribution of Cobalt Phthalocyanine and Copper Nanocubes Controls the Selectivity towards C2 Products in Tandem Electrocatalytic CO2 Reduction
<p>Data set for the journal article:</p> <p>The coupling of CO-generating molecular catalysts with copper electrodes in tandem schemes is a promising strategy to boost the formation of multi-carbon products in the electrocatalytic reduction of CO<sub>2</sub>. While the spatial distribution of the two components is important, this aspect remains underexplored, especially for molecular-based tandem systems. Herein, we address this knowledge gap by studying tandem catalysts comprising Co-phthalocyanine (CoPc) and Cu nanocubes (Cu<sub>cub</sub>). In particular, we identify the importance of the relative spatial distributions of the two components on the performance of the tandem catalyst by preparing CoPc-Cu<sub>cub</sub>/C, wherein the CoPc and Cu<sub>cub</sub> share an interface, and CoPc-C/Cu<sub>cub</sub>, wherein the CoPc is loaded first on carbon black (C) before mixing with the Cu<sub>cub</sub>. The electrocatalytic measurements of these two catalysts show that the faradaic efficiency towards C<sub>2 </sub>products almost doubles for the CoPc-Cu<sub>cub</sub>/C, whereas it decreases by half for the CoPc-C/Cu<sub>cub</sub>, compared to the Cu<sub>cub</sub>/C. Our results highlight the importance of a direct contact between the CO-generating molecular catalyst and the Cu to promote C-C coupling, which hints at a surface transport mechanism of the CO intermediate between the two components of the tandem catalyst instead of a transfer via CO diffusion in the electrolyte followed by re-adsorption.</p>
Data to reproduce the results presented in Lake et al. 2023. Science of The Total Environment, https://doi.org/10.1016/j.scitotenv.2023.162332 ("Use of a submersible spectrophotometer probe to fingerprint spatial suspended sediment sources at catchment scale")
<p>This repository contains the absorbance data measured on the water samples collected in all sampling sites, for the three campaigns, as described in Lake et al., 2023. </p> <p>Data consists of:</p> <p>- Absorbance data compensated for measured concentration and compensated for absorbance measured on filtered water </p> <p>- Absorbance data compensated for measured concentration</p> <p>Shown files are the input files for the MixSIAR modelling exercise as described in Lake et al., 2023.</p>
Data for "Plant trait-environment relationships in tundra are consistent across spatial scales"
<p>These data and code are associated with the publication Rissanen et al. (2023) "<strong>Plant trait-environment relationships in tundra are consistent across spatial scales</strong>" published in Ecography (doi:10.1111/ecog.06397). Modelling data are provided separately for each scale and contain community weighted mean traits and environmental variables. Raster stacks of the spatially continuous environmental predictors were used to produce spatial predictions of trait variation at each scale. </p> <p>Provided R codes were used to model trait-environment relationships at the local (LOC), regional (REG) and subcontinental (SUB) scale. The data and analyses are described in the linked publication. The data should be sited properly.</p> <p> </p>
Data for: Environmental filtering drives biodiversity‒spatial stability relationships in a large temperate forest region
<ol> <li>The assumption that greater biodiversity enhances ecosystem stability, commonly known as "portfolio effect", has attracted considerable research attention. However, the potential portfolio effects on spatial stability (the similarity of ecosystem functioning among forest communities) are still poorly examined especially at different spatial scales and under varying environmental stress conditions. Accordingly, this study investigates the biodiversity-spatial stability relationship among regional communities across different spatial scales and environmental conditions in a temperate forest region.</li> <li>We define spatial stability as the invariability of the productivity of woody plants among plots within a regional community. To test spatial stability, the N closest plots to a given plot were aggregated to form regional communities representing different spatial scales. Structural equation modeling was used to evaluate how biodiversity (including taxonomic (TD) and phylogenetic diversity (PD)) increases spatial stability via species asynchrony and/or population stability across spatial scales. Hierarchical Bayesian modeling was used to evaluate the environmental dependence of the portfolio effects on spatial stability.</li> <li>TD and PD both increased spatial stability by increasing asynchrony, but decreased population stability. The portfolio effect of TD on spatial stability became stronger and reached saturation at the intermediate scale and then decreased as regional communities became larger. The portfolio effects of TD were weaker under the stressful conditions of drought, high precipitation seasonality and high elevation but unchanged across temperature seasonality and human disturbance. PD showed no discernable effect on spatial stability and did not change across spatial scale and environmental condition.</li> <li>Our results suggest that the positive effect of biodiversity on species asynchrony overcomes the negative biodiversity effect on population stability to buffer the spatial change in productivity in diverse communities. Future research on the biodiversity–spatial stability relationship may thus benefit from incorporating different spatial scales and environmental conditions into the analysis. </li> </ol>
Data set for "Spatially explicit ecological modeling improves empirical characterization of dispersal"
<p>Data set used and created in the simulations, analysis and figures of the associated paper.</p>
Data for: Spatial heterogeneity and infection patterns on epidemic transmission disclosed by a combined contact-dependent dynamics and compartmental model
<p>Epidemics, such as COVID-19, have caused significant harm to human society worldwide. A better understanding of epidemic transmission dynamics can contribute to more efficient prevention and control measures. Compartmental models, which assume homogeneous mixing of the population, have been widely used in the study of epidemic transmission dynamics, while agent-based models rely on a network definition for individuals. In this study, we developed a real-scale contact-dependent dynamic (CDD) model and combined it with the traditional susceptible-exposed-infectious-recovered (SEIR) compartment model. </p>
IMPROVING THE AVAILABILITY AND USABILITY OF PLANETARY SPATIAL DATA RESEARCH BY SPATIAL DATA INFRASTRUCTURE OF CELESTIAL BODIES MODELING
<p>The rapid development of space technology and the increased interest in space exploration have resulted in the intensifying of observation of celestial bodies, mostly in the solar system, over the past decade with the prospect of an upward trend in the future. Data collected by space missions are stored and provided to users for use through the archives of individual space agencies and specialized portals of space missions. Users often encounter many problems when searching and retrieving data of interest, despite the fact that access to data is open for all groups of users. Current ways of storing and shearing this valuable data set are focused on their long-term archiving and are largely adapted for space scientists with inadequate access and search functionalities that do not meet the needs of a wider group of users. To search for data, users must have some prior knowledge and invest a lot of time and effort, and the available functionalities gives too many of the same or similar data filtering results that, in most cases, cannot be visualized before downloading. For this reason, the data remains unused, and in order to solve this problem, large amounts of collected data on space bodies, of which most are spatially defined, impose the need to develop the spatial data infrastructure of celestial bodies (SDICB) at the general level in order to enable standardized organization and storage of these data, and their efficient use and exchange. In order to approach to the development of such an infrastructure, it is necessary to investigate what data, as well as how and to what extent, are collected through the space observation, either from Earth, Earth orbit or from space probes. It is also necessary to investigate how this data can be obtained and to explore concepts of spatial data infrastructure, the possibilities of its establishment and operationalization. This doctoral dissertation provides a detailed overview of current ways of storing and distributing space research data and their shortcomings and explores the possibility of modeling the establishment of SDICB. In order to adequately approach the development of the model, user needs assessment and analysis of the current data archiving situation was conducted. These results served as input parameters for modeling SDICB and the adoption of guidelines (recommendations) for the establishment. The proposed model is focused on user needs and improving the functionality of data access by applying international standards of spatial data and open-source technologies to make space data available to the general public and enable their easy search, download and interpretation. For the proposed model, an implementation project with a five-year implementation period was created, for which a feasibility study was conducted, and the benefits of SDICB implementation for all involved stakeholders were investigated.</p>
Example spatial single-cell data
<p>This is an example data set of spatially resolved single cell RNA-seq from the anterior region of sagittal mouse brain, which is generated by 10X Genomics Visium. It is stored in the <em>Seurat</em> class and contains clustering information generated by the <em>Seurat</em> package.</p>
A new method for runoff forecasting in ungauged areas based on the Xinanjiang model incorporating multiple spatial geographical distribution data
<p>This dataset includes two parts:</p> <p>(1) The SHP format layer data of 256 watersheds in North America and 2 watersheds in ChinaThe SHP format layer data of 256 watersheds in North America and 2 watersheds in China.</p> <p>(2) A reference meta-watershed database of spatial data was established, covering a spatial database of 256 watersheds. This provides a data foundation for runoff forecasting in other ungauged watersheds.</p>
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.