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92 results for “Globe”
Deer Group - Snow Globe
# Happy Holidays to Sketchfab Community! Enjoy this wintery photogrammetry scan from Copenhagen :) In the King's Garden you can find many sculptures, one of them is this beautiful Deer Group by Arthur Jacques Le Duc (1848-1918). It was bought in 1910 by brewer Carl Jacobsen and erected the same year.  Source: Objaverse 1.0 / Sketchfab
Data from: Climate warming and sea turtle sex ratios across the globe
<p><span>Climate warming and the feminisation of populations due to temperature-dependent sex determination may threaten sea turtles with extinction. To identify sites of heightened risk, we examined sex ratio data and patterns of climate change over multiple decades for 64 nesting sites spread across the globe. Over the last 62 years the mean change in air temperature was 0.85 °C per century (SD = 0.65 °C, range = -0.53 to +2.5 °C, n = 64 nesting sites). Temperatures increased at 40 of the 64 study sites. Female-skewed hatchling or juvenile sex ratios occurred at 57 of the 64 sites, with skews > 90% female at 17 sites. We did not uncover a relationship between the extent of warming and sex ratio (r62 = -0.03, p = 0.802, n = 64 nesting sites). Hence, our results suggest that female-hatchling sex ratio skews are not simply a consequence of recent warming but have likely persisted at some sites for many decades. So other factors aside from recent warming must drive these variations in sex ratios across nesting sites, such as variations in nesting behaviour (e.g., nest depth), substrate (e.g., sand albedo), shading available and rainfall patterns. While overall across sites recent warming is not linked to hatchling sex ratio, at some sites there is both is a high female skew and high warming, such as Raine Island (Australia; 99% female green turtles; 1.27 °C warming per century), nesting beaches in Cyprus (97.1% female green turtles; 1.68 °C warming per century), and in the Dutch Caribbean (St Eustatius; 91.5% female leatherback turtles; 1.15 °C warming per century). These may be among the first sites where management intervention is needed to increase male production. Continued monitoring of sand temperatures and sex ratios are recommended to help identify when high incubation temperatures threaten population viability.</span></p>
Cradle Globe (Game Ready / 4K PBR)
Support the Free 3D Model Library for only $1 per month: https://www.patreon.com/meerdigital Check out more cool 3D art from Meerschaum Digital: https://linktr.ee/meerdigital A low poly model of a cradle style globe. This model weighs in at only 7,234 polygons, making it perfect for any real-time applications. A full set of high quality PBR textures were used to detail the model. Features: * Only 7,234 polygons (7,054 quads, 180 tris) * Clean topology; easily subdivide or decimate geometry * High quality textures for PBR workflows (4k Albedo/Color, 4k Normal, 4K Ambient Occlusion, 2k Roughness & 2k Metalness) * Organized, non-overlapping UV Mapping * World scale set to centimeters Cradle Globe, by Daniel R. Strebe, used under CC BY-SA 3.0. Cradle Globe is licensed under CC BY-SA 3.0 by Meerschaum Digital. Link to license: https://creativecommons.org/licenses/by-sa/3.0/ Link to globe texture: https://upload.wikimedia.org/wikipedia/commons/8/82/American_Polyconic_projection.jpg_ Source: Objaverse 1.0 / Sketchfab
Plasma globe
Wanted to put sketchfab viewer to the test and see if it's possible to create animated plasma globe. I'm happy how it turned out. good amount of flickering and randomish'likeness etc. :) Source: Objaverse 1.0 / Sketchfab
Globe
Scanned with Scenario and the iPhone. Capture 3D models, build 3D scenes and connect with other creators, all from your phone. Try it today (it's free): https://apple.co/3PZVG1e. Feel free to follow my collections of daily scans ([link](https://skfb.ly/6YuwK)) as well as my scans in San Francisco, Paris, or in the catacombs ([link](https://sketchfab.com/edemaistre/collections)). Follow me on [Twitter](https://twitter.com/emmanuel_2m) Source: Objaverse 1.0 / Sketchfab
Elizabethan Nautical Globe
Globes in Renaissance Europe https://www.press.uchicago.edu/books/HOC/HOC_V3_Pt1/HOC_VOLUME3_Part1_chapter6.pdf Source: Objaverse 1.0 / Sketchfab
GLOBE Mosquito Habitat Mapper Citizen Science Data 2017-2020
<p>Three Cases: Metadata and Procedures</p> <p>The data sets described here were used in an article submitted to the journal GeoHealth in 2021. The data files and further supplemental links (including general information about GLOBE data) can be accessed at https://observer.globe.gov/get-data/mosquito-habitat-data.</p> <p>Case 1: Removal of records with suspect geolocation data. A Python script was applied to remove records where the measured position (in decimal degrees) was identical to the GLOBE MGRS site position. GPS-obtained latitude and longitude coordinates are reported in decimal degrees, so records identified by whole numbers were also removed. This procedure removed 5704 (23%) of the 24983 records in the Mosquito Habitat Mapper database, with 19,279 records remaining. The secondary data sets cleaned only for geolocation anomalies were labeled Case 1.</p> <p>Case 2: Identifying suspected training events. For this test, we sought to identify groups of data that exceeded 10 records sharing these characteristics. Another Python script was employed to extract the photos for ease of visual inspection. Because we needed to manually review the photo records, we set the threshold for groups at >10, so that the analysis could be completed in the time allotted. Groups identified thought this procedure were outputted as case 2: groups. The resulting data set cleaned of groups >10 was labeled Case 2. The resulting data set included 20,006 records and identified 2,447 records found in clusters we postulated were training events.</p> <p>Case 3: The Case 3 secondary dataset result from applying the Python scripts used to create Cases 1 and 2. We used the Case 3 data sets, with improved geolocation and large groups eliminated, in the following analysis.</p> <p>Acknowledgments: These data were obtained from NASA and the GLOBE Program and are freely available for use in research, publications and commercial applications. When data from GLOBE are used in a publication, we request this acknowledgment be included: "These data were obtained from the GLOBE Program." Please include such statements, either where the use of the data or other resource is described, or within the acknowledgments section of the publication.</p>
Creating virtual forest around the globe and analysing their state space with the Forest Factory 2.0
<p>Dataset to the Article: Creating virtual forest around the globe and analysing their state space with the Forest Factory 2.0</p> <p>Abstract:</p> <p>Forests, as one of the most important carbon sinks on earth, are more and more under stress by environmental changes. The dynamics of forests and consequently their functions in general, begin to change. We therefore present a recent model development, called "Forest Factory 2.0", which generates various virtual forest stands for different biomes on earth. This approach allows to generate forests using the architecture and processes of forest models (here we use individual based gap model FORMIND). Using Forest Factory 2.0, we generated 700,000 forest stands in seven different ecoregions. In contrast to the tradition of investigating the development of individual forest stands over time, we used the Forest Factory 2.0 as a tool to gain knowledge about forests by analyzing the state space of forests. We conducted a structural sensitivity analysis to compare the relationships between structural properties and Biomass, productivity, as well as Species evenness of forests. In this study we analyse the state space of forests in different biomes and demonstrate the potential of this approach for theoretical ecology.</p>
The role of phylogenetic structure on Canidae lineage distribution and trait variation across the globe
<p>Aim: Understanding the spatial structuring of ecological communities requires us to consider the interplay between evolutionary history and environmental factors. In this study, we investigated the influence of Canidae phylogenetic structure on the distribution and trait patterns of lineages across the planet.</p> <p>Location: Americas, Africa, Eurasia.</p> <p>Time period: 12 million years ago - present.</p> <p>Major taxa studied: Canidae.</p> <p>Methods: Using distribution data and phylogenetic information for 37 Canidae species, we employed phylogenetic fuzzy-weighting to compare assemblages based on their phylogenetic similarity. </p> <p>Results: Our results revealed distinct global patterns of body size, body mass, range size, habitat type, and evolutionary distinctiveness among lineages. We also identified the shared contributions of phylogenetic structure and temperature to trait variation using variance partitioning analysis. The PCPS axes highlighted the influence of phylogenetic relationships on Canidae assemblages, particularly in South America.</p> <p>Main conclusions: Notably, the study challenges the applicability of Bergmann's and Rapoport's rules in explaining canids' sizes and range sizes geographic variation across continents, emphasizing the importance of phylogenetic information. The unique diversification history of Canidae in South America and Africa and their diverse environmental conditions likely contribute to the observed trait patterns that make both continents so distinguished when compared to N. America and Eurasia. Our findings underscore the need to incorporate phylogenetic information in models assessing trait variation across geographic scales for unbiased estimations.</p>
GLOBE Observer Summary and Measurement Data
<p>Data accessed from GLOBE Advanced Data Access Tool, used protocols "Land Cover" and "Mosquito Habitat Mapper" data from 01/01/1995-07/20/23 in Virginia, Maryland, North Carolina, and Delaware. As a part of a SEES2023 project investigating the effects of urbanization on mosquito population dynamics, this dataset was used in tandem with another to analyze how consistent GLOBE citizen science data is for inference/predictions about relationships between urbanization and larvae counts</p>
A Study Assessing Arrhythmia Mapping With a Globe-Shaped, High-Density, Multi-Electrode Mapping Catheter
ClinicalTrials.gov study NCT05373862. IPD Sharing: YES. Countries: 3. Publications: 15.
Urbanisation is related to the prevalence of threatened species on islands across the globe
Open the record for dataset details and reuse information.
Code from: The retinal age gap: An affordable and highly accessible biomarker for population-wide disease screening across the globe
Open the record for dataset details and reuse information.
Data from: Climate warming and sea turtle sex ratios across the globe
Open the record for dataset details and reuse information.
Santa Rita Experimental Range site, station Pasture 12B at Santa Rita Experimental Range, study of plant cover of Mammillaria (globe cactus) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mammillaria (globe cactus) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Pasture 21 at Santa Rita Experimental Range, study of plant cover of Mammillaria (globe cactus) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mammillaria (globe cactus) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range burned treatment: pasture 21, study of plant cover of Mammillaria (globe cactus) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mammillaria (globe cactus) measurements in percent units and were aggregated to a yearly timescale.
Santa Rita Experimental Range site, station Santa Rita Experimental Range pastures where the existing mesquite were killed and the pastures were grazed: pastures 3, 5N, 5S, 6B and 12B, study of plant cover of Mammillaria (globe cactus) in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Santa Rita Experimental Range (SRE) contains plant cover of Mammillaria (globe cactus) measurements in percent units and were aggregated to a yearly timescale.
Sustainable Globe Image
<p>Image used to convey the TURAS project.</p>
Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2016: Globe
<p>Consolidated epoch 2016 from the Collection 3 of annual, global 100m land cover maps.</p> <p>Other available epochs: <a href="https://doi.org/10.5281/zenodo.3939038">2015</a> <a href="https://doi.org/10.5281/zenodo.3518036">2017</a> <a href="https://doi.org/10.5281/zenodo.3518038">2018</a> <a href="https://doi.org/10.5281/zenodo.3939050">2019</a></p> <p>Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets.</p> <p>The maps include</p> <ul> <li>a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System,</li> <li>a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes</li> <li>a forest type layer</li> <li>quality layers on input data density and on the confidence of the detected land cover change</li> </ul> <p><a href="https://land.copernicus.eu/global/lcviewer">Click here to view the maps</a></p> <p><a href="https://land.copernicus.eu/global/lcviewer">More information about the land cover maps</a></p> <p><a href="https://doi.org/10.5281/zenodo.3606295">Product User Manual</a></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.