Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,583
datasets available to search
ShareScore release 0.9.0
Dataset results
3,583 results for “elevations”
Fig. 2 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 2. Idiodonus wickhami Ball. (Hemiptera: Cicadellidae). (A) Dorsal view, (B) ventral view, (C) vertex, pronotum and scutellum, (D) Male genitalia, (E-G) I. wickhami nymphs.
Fig. 6. Electrophoresis agarose gel showing RFLP pattern comparison between the F2 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 6. Electrophoresis agarose gel showing RFLP pattern comparison between the F2nR2 sequences amplified from Dalbulus elimatus and Idiodonus wickhami digested with AluI, BstUI, HaeIII, HinfI, and Tsp509I. Molecular weight (MW) marker, 1 kb plus.
Fig. 1 in Detection of maize bushy stunt phytoplasma in leafoppers collected in native corn crops grown at high elevations in southeast Mexico
Fig. 1. Six of the 7 leafopper genera (Hemiptera: Cicadellidae) detected in this study. Dorsal view of: (A) Dalbulus, (B) Macrosteles, (C) Amblysellus, (D) Graphocephala, (E) Erythridula, (F) Empoasca.
Fig. 3 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 3. Local and overall elevational ranges for each amphibian species. For each species, the local elevational range is the maximum minus minimum elevation on Mount Emei (gray box or vertical line), and the overall elevational range size is the published elevational range covering the whole distribution range (the horizontal line).
Fig. 2 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 2. The numbers of total and threatened species (bars) and elevational patterns of species richness (curves). Regression lines show total species richness (black) and threatened species richness (red) based on the polynomial regression models, with threatened status counts referring to the IUCN Red List (A) and the China Biodiversity Red List (B).
Fig. 1 in Amphibian diversity and conservation along an elevational gradient on Mount Emei, southwestern China
Fig. 1. (A) Geographic location of Mount Emei; (B) topographic overview of sample sites; and dominant vegetation types and typical habitats along the elevational gradient at (C) 500 m, (D) 1,300 m, and (E) 3,050 m. Sampling sites are indicated with red stars (see Appendix 1 for details).
Fig. 2 in Geographical and elevational distributions of the Black-breasted Leaf Turtle, Geoemyda spengleri (Gmelin, 1789) (Testudines: Geoemydidae)
Fig. 2. Relationship between elevation and latitude of reliable Geoemyda spengleri occurrences with low positional error (n = 33).
Fig. 1 in Geographical and elevational distributions of the Black-breasted Leaf Turtle, Geoemyda spengleri (Gmelin, 1789) (Testudines: Geoemydidae)
Fig. 1. Geographical distribution of Geoemyda spengleri based on hydrologic unit compartments (Level 10 HUCs). Positions of the reliable occurrences (n = 77) are approximate, as the coordinates were generalized by rounding (see text for details). Multiple symbols may overlap and appear as a single point. Not all localities are shown to protect particularly sensitive populations. Inset: Adult male Geoemyda spengleri from Guangxi Autonomous Region, China. Photo by Jeffrey E. Dawson.
Fig. 3 in Thermoregulation in the Andean lizard Anolis heterodermus (Squamata: Dactyloidae) at high elevation in the Eastern Cordillera of Colombia
Fig. 3. (A) Average hourly variation of body temperature (Tb) and operative temperatures (T e) of light exposed, shaded and all models in function of time of the day. Striped area corresponds to preferred temperature interval. (B) Daily activity pattern of Anolis heterodermus (Duméril, 1851).
Fig. 2 in Thermoregulation in the Andean lizard Anolis heterodermus (Squamata: Dactyloidae) at high elevation in the Eastern Cordillera of Colombia
Fig. 2. Frequency of body (T b) and operative (T e) temperatures during wet and dry season in Anolis heterodermus (Duméril, 1851). Average values are shown by black arrows. Striped area corresponds to averaged preferred temperature (T pref) interval for both seasons.
Fig. 1 in Thermoregulation in the Andean lizard Anolis heterodermus (Squamata: Dactyloidae) at high elevation in the Eastern Cordillera of Colombia
Fig. 1. Thermal gradient scheme: (A) shrubs to create a suitable habitat for liZards in the gradient; (B) cooling packs.
Fig. 4 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 4. Changes in reproductive traits of female Heterandria bimaculata along an elevational gradient in Cusuco National Park, Honduras in summer 2013. Points represent actual values. Dashed lines represent fitted means from linear mixed models, accounting for nested effects of individual variability within sites, and total length of individuals. No fitted line is presented for reproductive allotment because this variable did not change significantly along the elevational gradient.
Fig. 3 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 3. Changes in physicochemical parameters of streams along an elevation gradient in Cusuco National Park, Honduras in summer 2013.
Fig. 2 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 2. Relationships between male and female body weights, embryo counts, ovary weights and total length of Heterandria bimaculata in Cusuco National Park, Honduras in summer 2013.
Fig. 1 in Reproductive life history of Heterandria bimaculata (Heckel, 1848) (Poeciliinae: Poeciliidae) in the Honduran interior highlands: trait variation along an elevational gradient
Fig. 1. (A) Mainland Central America, with a square representing the inset of (B), Cusuco National Park (gray) within the río Motagua (Guatemala) and río Chamelecón/Ulúa (Honduras) basins. (C) Sites (black dots) sampled from upstream to downstream on 6 tributaries to the río Motagua (west side) and río Ulua (east side) in Cusuco National Park, Honduras, Central America.
D-PLACE dataset derived from 'Global Multi-resolution Terrain Elevation Data 2010'
<p>Cite the source of the dataset as:</p> <blockquote> <p>Global Multi-resolution Terrain Elevation Data courtesy of the U.S. Geological Survey (Downloaded 14 Jul 2014)</p> </blockquote>
Digital Elevation Models from Planetary Flyby Images of Mercury and the Moon with Shape and Albedo from Shading
<p>Supplemantary material to Krüll, I., Wohlfarth, K., Tenthoff, M., Wöhler, C., Galluzzi, V., Wright, J., Benkhoff, J., and Zender, J.: Shape and Albedo from Shading with Planetary Flyby Images of Mercury and the Moon, Europlanet Science Congress 2024, Berlin, Germany, 8–13 Sep 2024, EPSC2024-247, https://doi.org/10.5194/epsc2024-247, 2024.</p> <p><strong>Abstract</strong></p> <p>Surface reconstruction of planetary bodies such as the Moon and Mercury is crucial for geomorphological analysis, reflectance normalization, thermal modeling, rover landing site planning, and outreach activities. Stereo algorithms and Shape-and-Albedo-from-Shading (SAfS) are well-established methods for planetary 3D reconstruction. SAfS refines the surface slopes of a stereo Digital Elevation Model (DEM) and typically yields 3D models at image resolution. This approach is well-validated for scientifically calibrated instruments that observe the planetary body under favorable conditions. This work applied the SAfS algorithm to more challenging planetary flyby images acquired with uncalibrated off-the-shelf cameras. We investigated three scenarios: a fly-by image of the Moon captured by a GoPro during the Artemis I mission, a fly-by image of Mercury which was obtained with a monitoring camera during BepiColombo’s third flyby, and a telescope image taken in Wetter, Germany. We qualitatively and quantitatively assessed the algorithm's performance. The results of the two flyby images indicate that, despite the challenging conditions, the SAfS algorithm could reconstruct the surface up to image resolution and increase the level of detail of the input DEM. The reconstructed DEM of the telescope image is the one with the lowest resolution. All in all, our flyby-derived DEMs are accurate. They provide excellent outreach products, as demonstrated by ESA's BepiColombo flyby movie: https://www.esa.int/Science_Exploration/Space_Science/BepiColombo/BepiColombo_s_third_Mercury_flyby_the_movie</p> <p><strong>Dataset<br></strong></p> <p>We applied the SAfS algorithm to different Regions of Interest (ROIs) in the flyby and telescope images. The ROIs are marked in Artemis_Flyby_ROIs.png, Bepicolombo_Flyby3_ROIs.png and Moon_Telescope_ROIs.png, respectively. For each ROI a DEM is provided centered on the latitude and longitude (0-360, positive east) in the filename. Furthermore a Red/ Blue Stereo anaglyph of the original image was created with the SAfS DEM (for this purpose the height has been exaggerated).</p> <p> </p>
Molecular insights into substrate translocation in an elevator-type metal transporter
<p>This dataset contains biased simulation trajectories for the paper entitled "Molecular insights into substrate translocation in an elevator-type metal transporter." The trajectories are named based on the information provided in the paper. The deposited trajectories contain only the protein and zinc metal ions; due to size constraints, we retained only these components and removed the rest. The entire systems and additional input files are available upon request to the authors. The dataset comprises four folders named as follows: </p> <p>First_scenario, Second_scenario, Third_scenario, and Last_scenario.</p> <p>To extract the contents of the compressed file (.tar.gz), use the following command line:</p> <p>tar -xzvf zip_transporter.tar.gz</p> <p>Each folder contains topology files and their corresponding trajectory files. The term "Rep" in the file names denotes the simulation replicates. For instance, "rep1" indicates the first simulation replicate mentioned in the paper. All analyses were performed using cpptraj and VMD software. Custom codes for performing the analyses are available at https://gitlab.msu.edu/jafarima/zip-transporter.git.</p>
Linked collectors and determiners for: New species of Dugdaleiella, gen. nov., Kozloviella, gen. nov., and Pfitzneriella Viette from upper elevation Andes of Ecuador and Peru (Lepidoptera: Hepialidae).
Natural history specimen data linked to collectors and determiners held within, "New species of Dugdaleiella, gen. nov., Kozloviella, gen. nov., and Pfitzneriella Viette from upper elevation Andes of Ecuador and Peru (Lepidoptera: Hepialidae)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/d5b94fdb-db02-4530-85aa-12d9757e3313">https://bionomia.net/dataset/d5b94fdb-db02-4530-85aa-12d9757e3313</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/d5b94fdb-db02-4530-85aa-12d9757e3313">https://gbif.org/dataset/d5b94fdb-db02-4530-85aa-12d9757e3313</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new pygmy squid, Idiosepius hallami n. sp. (Cephalopoda: Idiosepiidae) from eastern Australia and elevation of the southern endemic ' notoides' clade to a new genus, Xipholeptos n. gen..
Natural history specimen data linked to collectors and determiners held within, "A new pygmy squid, Idiosepius hallami n. sp. (Cephalopoda: Idiosepiidae) from eastern Australia and elevation of the southern endemic ' notoides' clade to a new genus, Xipholeptos n. gen.". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f">https://bionomia.net/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f">https://gbif.org/dataset/48a508ae-e2ef-460d-a2e8-ad76b4b5274f</a>. Formatted as a Frictionless Data package.
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.