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5,023 results for “landing”
Figure 10 in Larval development and emigration behaviour during sea-to-land transition of the land hermit crab Coenobita brevimanus Dana, 1852 (Crustacea: Decapoda: Anomura: Coenobitidae) under laboratory conditions
Figure 10. The proportions of Coenobita brevimanus carrying three different sizes of gastropod shells. The small (S) and large (L) gastropod shells were Littoraria undulata and the medium (M) size shell was Littorina brevicula.
Figure 3 in Larval development and emigration behaviour during sea-to-land transition of the land hermit crab Coenobita brevimanus Dana, 1852 (Crustacea: Decapoda: Anomura: Coenobitidae) under laboratory conditions
Figure 3. Coenobita brevimanus, first zoea: (A) antennule; (B) antenna; (C) mandibles; (D) maxillule; (E) maxilla; (F) first maxilliped; (G) second maxilliped; (H) third maxilliped; (I) telson. Scale bars: 100 μm (A–C, F, G, I), or 50 μm (D, E, H).
Figure 4 in Predation on invasive land gastropods by a Neotropical land planarian
Figure 4. Obama ladislavii capturing Deroceras laeve: (A) planarian encountering the slug; (B) planarian attaching its anterior end to the slug; (C, D) planarian moving towards the slug's head to prevent escape; (E–H) slug surrounded by the planarian and pressed against the substrate.
Figure 1 in Predation on invasive land gastropods by a Neotropical land planarian
Figure 1. Experimental design for determining prey tracking behaviour. Solid line indicates outline of the slime trail. Dashed line indicates a possible path taken by the planarian, and X the planarian's initial position.
Snow depth and land surface cover in Tuolumne basin (California) from Pléiades images
<p>This dataset contains products calculated from Pléiades images.</p> <p>Details about the products are available in https://doi.org/10.5194/tc-2020-15.</p> <p>These products were used in Figure 4.</p> <p>- pleiades_elevation_difference_raw_winter_minus_summer.tif : raw difference of digital elevation models (DEMs) calculated from Pléiades stereo images.</p> <p>- pleiades_snow_depth_winter.tif : difference of DEMs on snow terrain only (where pleiades_land_surface_cover_winter.tif==1 with morphological erosion)</p> <p>- pleiades_land_surface_cover_winter.tif : land cover surface in the winter images (1= snow, 2=forest, 3= stable terrain, 4=water)</p> <p>- pleiades_land_surface_cover_summer.tif : land cover surface in the summer images (1= snow, 2=forest, 3= stable terrain, 4=water) </p> <p>- elevation_difference_style.qml : qgis style used for elevation difference and snow depth.</p> <p>- land_surface_cover_style.qml : qgis style used for land cover surface.</p> <p> </p>
Data from: Linking land use and the nutritional ecology of herbivores: a case study with the Senegalese locust
1) Access to high-quality food is a main driver of population dynamics. For herbivores protein and carbohydrates are key nutrients that are notoriously variable in plants and are affected by land use. However, few studies have linked foraging decisions and performance in the laboratory to the nutritional landscape available in the field. 2) <i>Oedaleus senegalensis</i> is a nonmodel locust, a grass-feeder, and the main pest of millet, a subsistence crop in the Sahel. In this study, we examined dietary preference and locust performance across a range of protein:carbohydrate ratios using the Geometric Framework methodology. We then applied a fitness landscape approach to visualize these results with the plant nutrient contents available across four land-use types: millet, groundnut, fallow, and grazed fields. Finally, we contrasted our results with locust distribution in the field. Several locust species (<i>O. senegalensis</i> included) exhibit density dependent color polymorphism thus we also reported individual coloration (brown or green). 3) We found that <i>O. senegalensis</i> preferred moderately carbohydrate-biased food 1:1.6 protein: carbohydrate ratio. All traits recorded (mass gain, development time, growth rate, molt success, and performance index) were best near that ratio and declined on either side presenting a "hump-shape". Fallow fields contained more plants, particularly grasses, that were both abundant and closer to the optimal protein:carbohydrate ratio recorded from the lab experiments. 4) When we surveyed <i>O. senegalensis</i> abundance and proportion, we found that they were more numerous in the fallow fields. Brown morph individuals, the ones associated with high density, were proportionally more abundant in fallow fields than green individuals. 5) Our study provides evidence that variation in nutritional landscapes—relative to an herbivore's optimal nutrient balance—is a key driver of herbivore population distribution and abundance, and can be used to predict bottom-up effects on herbivore species. protein:carbohydrate ratio recorded from the lab experiments.
Analyzing and predicting urban land use forms in East Africa using OpenStreetMap data, satellite imagery, and Convolutional Networks
<p>This multi-spectral satellite image data set is associated with our recent work on analyzing and predicting urban land use forms in East Africa using OpenStreetMap data, satellite imagery, and Convolutional Neural Networks.</p> <p>The images were extracted using an automated Python script from Google Maps Static API, based on sample locations in four East African capital cities namely Kampala, Nairobi, Dar es Salaam, and Kigali.</p> <p>Other data sets associated with this work, that is, ESRI shapefiles for administrative level 1 and OpenStreetMap data for the named cities may be downloaded directly from the respective URLs provided in the manuscript.</p>
Reconstructed remote sensing land surface temperature data in North America in 2002-2018
<p>In order to more accurately study the change trend of land surface temperature in North America in recent years, we combined remote sensing and meteorological station data and used various restoration models to generate more accurate and more complete remote sensing land surface temperature data. Our data covered the North American continent from 2002 to 2018, with a spatial resolution of 0.05°×0.05°. In order to facilitate the statistics of the data, we set the projection mode of the data as World_Cylindrical_Equal_Area. We collated the data from different time dimensions, including month, season and year.</p>
GLC_FCS30-2020:Global Land Cover with Fine Classification System at 30m in 2020
<p>The new GLC_FCS30-2020 products were produced based on Global 30-m land-cover product with fine classification system in 2015 (GLC_FCS30-2015) and combined with the 2019-2020 time series Landsat surface reflectance data, Sentinel-1 SAR data, DEM terrain elevation data, global thematic auxiliary dataset and prior knowledge dataset. </p>
Dataset on: Land slugs in plant nurseries, a potential cause of dispersal in Argentina
<p>Commercial plant nurseries may serve as causes of dispersal of land snails and slugs (native and non-native) through the trade of plants and the related transport of eggs and small individuals that may pass unnoticed. Studies on the possible role of plant nurseries as a potential cause of dispersal of slugs in South America are lacking. To explore the role of garden centers, we collected and identified slugs in 12 commercial nurseries in two cities in the province of Buenos Aires, Argentina. Eight species of slugs were found. Based on our findings we validate the existence of <em>Deroceras laeve</em> and <em>Belocaulus angustipes</em> for Argentina and confirm the existence of <em>Ambigolimax valentianus</em>, which was recently cited for Argentina. We recommend that plant nurseries be regularly monitored given that snail and slug species are accidentally spread through trade in plants.</p>
dh/dt data of the manuscript "Surface Elevation Change of Glaciers Along the Coast of Prudhoe Land, Northwestern Greenland from 1985 to 2018 "
<p>This is a dataset including dt/dt data for periods of T0–T2, T0–T1, and T1–T2, which used in the manuscript "Surface Elevation Change of Glaciers Along the Coast of Prudhoe Land, Northwestern Greenland from 1985 to 2018".</p>
Soil Dataset for Land evaluation in southwestern of Egyptian Delta
<p>Soil Dataset for Land evaluation in southwestern of Egyptian Delta</p>
Oso to Corine Land cover dataset
<p>Dataset used in the paper "Toward a yearly country-scale CORINE Land-Cover map without using images: a map translation approach".</p>
Global agricultural land use scenarios for estimating the potential of forest regeneration for climate mitigation to 2050
<p>The dataset includes 90 global food system and land use scenarios developed with the model BioBaM-GHG 2.0. The scenarios have been developed for assessing the global potential of forest regeneration for climate mitigation to 2050 under various food system pathways, i.e. diets, crop yield developments, land requirements for energy crops, and two variants of grassland use.</p> <p>The scenarios include the following data on country level: Land use and land-use change, cropland area by crop group, grazing area by quality classes, crop production by crop groups, crop consumption by crop groups and use types, crop wastes (losses), net imports/exports, production and consumption of animal products, grass supply and demand, GHG emissions from land-use change, GHG emissions from agricultural activities, and total cumulated GHG emissions.</p> <p>The main model result in this context, cumulative carbon sequestration from forest regeneration until 2050, is calculated as difference between the parameters "GHG emissions from land use change (cumulative) (Mt CO2e)" and "GHG emissions from land use change excluding C stock changes from natural succession (cumulative) (Mt CO2e)".</p> <p>Please refer to the related publication "Exploring the option space for land system futures at regional to global scales: The diagnostic agro-food, land use and greenhouse gas emission model BioBaM-GHG 2.0" (Kalt et al., 2021 - currently under review at Ecological Modelling) for further information.</p> <p>This work was funded by the Austrian Science Fund (FWF) within project P29130-G27 GELUC.</p>
Easement_cost-effectiveness: Effects of disputes and easement violations on the cost-effectiveness of land conservation
<p>This repository includes the data and files for the example analysis of the following paper published in PeerJ:</p> <p>Schuster and Arcese (2015) Effects of disputes and easement violations on the cost-effectiveness of land conservation. PeerJ x:xxxx</p>
Supporting data: Grain-dependent responses of mammalian diversity to land-use and the implications for conservation set-aside
<p>Camera trap and live trap datasets underlying the analyses in an <em>Ecological Applications </em>paper (http://onlinelibrary.wiley.com/doi/10.1890/15-1363/abstract), provided in .csv format. Each row consists of a single trap night at a given location, with species in different columns. Old-growth forest, logged forest and oil palm plantation locations have the prefixes "Old", "Log" and "Palm", respectively. Values in each cell are the number of independent captures, as defined in the paper. </p>
Supplementary Information S1 - Detailed results of the CAPRI N-LCA and S2 - Quantification of the main N budget flows in the EU25 agriculture sector of Leip, A., Billen, G., Garnier, J., Grizzetti, B., Lassaletta, L., Reis, S., Simpson, D., Sutton, M. a, de Vries, W., Weiss, F., Westhoek, H. (2015). Impacts of European livestock production: nitrogen, sulphur, phosphorus and greenhouse gas emissions, land-use, water eutrophication and biodiversity. Environ. Res. Lett. 10, 115004. doi:10.1088/1748-9326/10/11/115004
<p>Table S1-1 Quantification of GHG and Nr flow intensities [kg CO2eq (kg product)<sup>-1</sup> yr<sup>-1</sup>] or [g N (kg product)<sup>-1</sup> yr<sup>-1</sup>] with the CAPRI N-LCA model for six main livestock products (BEEF: beef, PORK: pork, EGGS: eggs, POUM: poultry meat; DAIR: milk and dairy products, SGMP: meat from sheep and goats) and six main vegetable food groups (POTA: potatoes, SUGB: sugar beet before processing, OILP: oil seeds before processing; CERR: cereals, LEGU: leguminous crops) as well as other crops (OCRP) and aggregated livestock (ANIMP) and vegetable (CROPP) food. </p> <p>Table S2-1 Quantification of the main N budget flows in the EU25 agriculture sector</p>
Land-use on subbasins
Land use based on subbasin division. The data shows proportions of land-use for each land-use class and subbasin. Unit of measurement: %
Level A Pan Europe Land-use, E-HYPE 2.5
Land use is given as the percentage of one of 9 land use classes within a subbasin (i.e. subbasin level). The classes are Water, Glacier/Snow, Urban area, Forest, Agricultural land, Other and > 500 m, Wetland, Tundra/Permafrost, Extensive grassland/pasture. This is also given as percentage of each land use class upstream of (and including) a subbasin (i.e. catchment level, mean area 215 km2). Original data source: CORINE Land Cover (CLC2000), GLC2000 Northern Eurasia v4.0, GLC2000 Asia v1.0, GLC2000 Europe v2.0, Euroland SoilSealing 2009. Tools for repurposing: WHIST. Data format: Table (Excel file) with unique subID which could be linked to the shapefile EHYPE_polygons_v2pt5.shp.
Supporting data for "Mammalian species abundance across a gradient of tropical land-use intensity: A hierarchical multi-species modelling approach"
<p>Combined camera trap and live trap dataset underlying the analyses in a Biological Conservation paper (https://doi.org/10.1016/j.biocon.2017.05.007), provided in .csv format. This spatially- and temporally-replicated dataset is suitable for occupancy modelling.</p> <p>The first 3 columns in the dataset are:</p> <p>1) Trap location name – old-growth forest, logged forest and oil palm plantation locations have the prefixes "Old", "Log" and "Palm", respectively</p> <p>2) Sampling occasion number – camera trap and live trap occasions have the prefixes “Lvtrap” and “Ctrap”, respectively, and are defined in the paper</p> <p>3) Calendar year in which sampling took place (most locations were sampled in > 1 calendar years)</p> <p>Following these 3 columns, there are 66 columns for each of the mammal species detected during the study (species common names are used). The values for each species represent the number of independent captures, as defined in the paper. This can be reduced to detection/non-detection data (zeroes and ones), if needed, for occupancy modelling.</p>
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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.