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1,568 results for “slope”
MODIS-based GPP, PAR, fC4, and SANIRv estimates from SLOPE for CONUS, 2000-2019
This dataset contains estimated gross primary productivity (GPP), photosynthetically active radiation (PAR), soil adjusted near infrared reflectance of vegetation (SANIRv), the fraction of C4 crops in vegetation (fC4), and their uncertainties for the conterminous United States (CONUS) from 2000 to 2019. The daily estimates are SatelLite Only Photosynthesis Estimation (SLOPE) products at 250-m resolution. There are three distinct features of the GPP estimation algorithm: (1) SLOPE couples machine learning models with MODIS atmosphere and land products to accurately estimate PAR, (2) SLOPE couples gap-filling and filtering algorithms with surface reflectance acquired by both Terra and Aqua MODIS satellites to derive a soil-adjusted NIRv (SANIRv) dataset, and (3) SLOPE couples a temporal pattern recognition approach with a long-term Crop Data Layer (CDL) product to predict dynamic C4 crop fraction. PAR, SANIRv and C4 fraction are used to drive a parsimonious model with only two parameters to estimate GPP, along with a quantitative uncertainty, on a per-pixel and daily basis. The slope GPP product has an R2 = 0.84 and a root-mean-square error (RMSE) of 1.65 gC m-2 d-1.
Lake Bathymetry Maps derived from Landsat and Random Forest Modeling, North Slope, AK
This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to generate depths for each point identified as being part of a lake, creating depth prediction files for each Landsat scene available for the study period: 2016-07-01 to 2018-08-31. These products are fitted to the ABoVE standard projection and reference grid to make them easily scalable and geometrically compatible with other products in the ABoVE study domain. The data are provided in cloud-optimized GeoTIFF (COG) format.
Figure 8 from: Shaverdo H, Surbakti S, Sumoked B, Balke M (2020) Three new species of Exocelina Broun, 1886 from the southern slopes of the New Guinea central range, with introduction of the Exocelina skalei group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 1007: 129-143. https://doi.org/10.3897/zookeys.1007.59351
Figure 8 Habitus and colouration of Exocelina mimika sp. nov., holotype.
Figure 6 from: Shaverdo H, Surbakti S, Sumoked B, Balke M (2020) Three new species of Exocelina Broun, 1886 from the southern slopes of the New Guinea central range, with introduction of the Exocelina skalei group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 1007: 129-143. https://doi.org/10.3897/zookeys.1007.59351
Figure 6 Habitus and colouration of Exocelina amabilis sp. nov., holotype.
Figure 5 from: Shaverdo H, Surbakti S, Sumoked B, Balke M (2020) Three new species of Exocelina Broun, 1886 from the southern slopes of the New Guinea central range, with introduction of the Exocelina skalei group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 1007: 129-143. https://doi.org/10.3897/zookeys.1007.59351
Figure 5 Map of the western part of New Guinea showing the species distribution.
Figure 1 from: Shaverdo H, Surbakti S, Sumoked B, Balke M (2020) Three new species of Exocelina Broun, 1886 from the southern slopes of the New Guinea central range, with introduction of the Exocelina skalei group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 1007: 129-143. https://doi.org/10.3897/zookeys.1007.59351
Figure 1 Habitus and colouration of Exocelina brazza sp. nov., holotype.
Figure 3 from: Shaverdo H, Surbakti S, Sumoked B, Balke M (2020) Three new species of Exocelina Broun, 1886 from the southern slopes of the New Guinea central range, with introduction of the Exocelina skalei group (Coleoptera, Dytiscidae, Copelatinae). ZooKeys 1007: 129-143. https://doi.org/10.3897/zookeys.1007.59351
Figure 3 Habitat area of Exocelina brazza sp. nov., a view from the forest down into Brazza River.
Socio-economic characteristics of farmers on the southern slopes of Mount Kilimanjaro
<p>This dataset was collected using a questionnaire survey, conducted in summer/fall 2022. The survey was a collaborative effort involving several sub-projects (SPs) under the DFG-funded Kili SES project (https://kili-ses.senckenberg.de/). Data collection was carried out across 14 villages located on the southern slopes of Kilimanjaro in the Rombo, Moshi Rural, Hai, and Siha districts. The dataset includes responses from 306 participants and captures a wide range of variables related to agricultural practices, income sources, resource use, and household demographics.</p>
The impact of planting density on the morphological traits and peak pullout force of vegetation and slope stability
<p><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer">NC_morphological.xl</a>s and <a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer">MS_morphological.xls files include all morphological traits of two species, </a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">ms_force_space.RData</a><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer"> and nc</a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">_force_space.RData files include the uprooting force - time data.</a></p> <p><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">In ms_force_space.RData</a><a href="../api/records/10937858/draft/files/NC_morphological.xls/content" target="_blank" rel="noopener noreferrer"> and nc</a><a href="../api/records/10937858/draft/files/ms_force_space.RData/content" target="_blank" rel="noopener noreferrer">_force_space.RData, Time means sampling time, AI1.01 means uprooting force, sample means the sampling ID, test means different planting densities. </a></p> <p><span>This study examines the influence of planting density on the morphological traits and peak pullout force of two herbaceous plant species, <em>Medicago sativa</em> (MS) and <em>Nepeta cataria</em> (NC), and their collective impact on slope stability. Through field experiments across six planting densities (8, 11, 16, 25, 44, and 100 plants/m²), we evaluated changes in plant morphology, root and shoot biomass, and root anchorage strength. The peak pullout force was analyzed using the infinite slope stability model to assess its correlation with slope stability coefficients.</span></p>
Width_Area_slope_data
<p>An excel file with 12 sheets. Each sheet refers to a valley section that was analyzed in the study. </p>
Post-processed output for paper "Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model"
<p>This dataset contains processed output of the ACCESS-OM2-01 global ocean-sea ice model.</p> <p>The processed output was used for analyses of the paper:</p> <p>Huneke W. G. C., Morrison A. K., Hogg A. McC. Spatial and interannual variability of the Antarctic Slope Current in an eddying ocean-sea ice model, 2022, Journal of Physical Oceanography, doi:10.1175/JPO-D-21-0143.1</p> <p>The Github repository github.com/wghuneke/ASC_SpatialTemporalVariability contains Jupyter notebooks and instructions for how to produce these files from the raw model output.</p> <p>Contact wilma.huneke@anu.edu.au if you want access to the ACCESS-OM2-01 raw model output itself.</p>
Characterization of the organic matter in pockmark areas of the Southwestern Atlantic upper slope
<p>Complete data set of hydrocarbons, sterols, long-chain alcohols, stable isotopes of C and N, total organic carbon, and total nitrogen assessed on the pockmarks areas located in the Southwestern Atlantic Ocean. </p>
The Effect of Slope Gradient and Shape on the Formation Process of Climbing Dunes in a Wind Tunnel Experiment
<p>the data from the wind-tunnel experiments </p>
Miura Slope : 三浦坂
A slope in Yanaka, Taito-ku, Tokyo, Japan. It was named after the slope in front of the Miura family residence in the Edo period. 日本の東京都,台東区谷中に存在する坂。 江戸時代,三浦家下屋敷前の坂道だったのでこの名で呼ばれた。 https://goo.gl/maps/43foWDEadRBVHUdL9 Made with [Scaniverse](https://scaniverse.com). Source: Objaverse 1.0 / Sketchfab
Figure 1 from: Catenazzi A, Ttito A, Diaz MI, Shepack A (2017) Bryophryne phuyuhampatu sp. n., a new species of Cusco Andes frog from the cloud forest of the eastern slopes of the Peruvian Andes (Amphibia, Anura, Craugastoridae). ZooKeys 685: 65-81. https://doi.org/10.3897/zookeys.685.12152
Figure 1 - Map of Peru indicating the type localities of species of Bryophryne.
Validation Test of Landslide Prone Areas from the Weighting Results of Slope and Rainfall Parameters in Sragen Regency
<p>This material has presented on 2nd International Conference on Advanced Research in Engineering and Technology in October 25, 2023.</p>
FIGURE 1 in A new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Pacific slope of Ecuador
FIGURE 1 | Microglanis berbixae new species, MECN-DP-3944, holotype, male 54.2 mm SL.
FIGURE 2 in A new species of Microglanis (Siluriformes: Pseudopimelodidae) from the Pacific slope of Ecuador
FIGURE 2 | Microglanis variegatus, MECN-DP 4259, male, 37.9 mm SL.
Figure 10 from: Nefediev PS, Farzalieva GS, Tuf IH, Nedoev KK, Niyazov ST (2018) Millipede and centipede assemblages on the northern and southern slopes of the lowland Altais, southwestern Siberia, Russia (Diplopoda, Chilopoda). In: Stoev P, Edgecombe GD (Eds) Proceedings of the 17th International Congress of Myriapodology, Krabi, Thailand. ZooKeys 741: 219-254. https://doi.org/10.3897/zookeys.741.21936
Figure 10 The species diversity of centipedes on the southern and northern slopes.
Figure 13 from: Nefediev PS, Farzalieva GS, Tuf IH, Nedoev KK, Niyazov ST (2018) Millipede and centipede assemblages on the northern and southern slopes of the lowland Altais, southwestern Siberia, Russia (Diplopoda, Chilopoda). In: Stoev P, Edgecombe GD (Eds) Proceedings of the 17th International Congress of Myriapodology, Krabi, Thailand. ZooKeys 741: 219-254. https://doi.org/10.3897/zookeys.741.21936
Figure 13 The seasonal dynamics of Chilopoda density on study slopes.
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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.