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.
2,021
datasets available to search
ShareScore release 0.9.0
Dataset results
2,021 results for “valley”
Water Erosion Risk Assessment in the Eastern Rift Valley: The Case of Kenya Great Rift Valley Region
<p>RUSLE Supplementary Materials </p> <p> </p> <p>Water Erosion Risk Assessment in the Eastern Rift Valley: The Case of Kenya Great Rift Valley Region</p>
Data from: Reconstructing the evolutionary history of an endangered subspecies across the changing landscape of the Great Central Valley of California.
Identifying historic patterns of population genetic diversity and connectivity is a primary challenge in efforts to re-establish the processes that have generated and maintained genetic variation across natural landscapes. The challenge of reconstructing pattern and process is even greater in highly altered landscapes where population extinctions and dramatic demographic fluctuations in remnant populations may have substantially altered, if not eliminated, historic patterns. Here, we seek to reconstruct historic patterns of diversity and connectivity in an endangered subspecies of woodrat that now occupies only 1-2 remnant locations within the highly altered landscape of the Great Central Valley of California. We examine patterns of diversity and connectivity using 14 microsatellite loci and sequence data from a mitochondrial locus and a nuclear intron. We reconstruct temporal change in habitat availability to establish several historical scenarios that could have led to contemporary patterns of diversity, and use an approximate Bayesian computation approach to test which of these scenarios is most consistent with our observed data. We find that the Central Valley populations harbour unique genetic variation coupled with a history of admixture between two well-differentiated species of woodrats that are currently restricted to the woodlands flanking the Valley. Our simulations also show that certain commonly used analytical approaches may fail to recover a history of admixture when populations experience severe bottlenecks subsequent to hybridization. Overall our study shows the strength of combining empirical and simulation analyses to recover the history of populations occupying highly altered landscapes.
Air Quality, Location, Time, Number of Passenger Data during commute in selected area of Klang Valley, Malaysia
<p>The dataset contains information on date/time, location names, periods, vehicle types, settlement patterns, commute elevation levels, latitude, longitude, air pollutant exposure data, along with temperature and relative humidity data, and passenger numbers for 40 trips conducted across various transport microenvironments in selected areas of the Klang Valley.</p>
Taylor Valley meteorological input data for ICEMELT model
<p>These input files were too large to be included in ICEMELT-Cross GitHub repository (https://doi.org/10.5281/zenodo.6808770). To run the ICEMELT model, copy and paste the contents of this repository into the 'input' directory.</p>
Aconitum specimens sampled in the Dolina Małej Łąki valley (ML) and Dolina Miętusia valley (DM) in the Tatra Mountains
<p><span>In this study, our objection was to identify the extent of introgression between <em>Aconitum</em> species in a narrow mountain hybrid zone in the Tatra Mountains (West Carpathians, Poland). We expected that mountain topography may affect the genetic structure of the populations and hampered the interspecific gene flow. We used inter-simple sequence repeat (ISSR) molecular markers and chloroplast DNA (cpDNA) sequencing. The results revealed that the diploid and tetraploid species have different cpDNA haplotypes, and the triploid hybrid has a tetraploid cpDNA marker. Populations in adjacent mountain valleys were genetically different (<em>F<sub>ST</sub></em> = 0.129, <em>p</em> < 0.001). Principal coordinate analysis (PCoA), neighbor-net clustering (NN), and Bayesian inference showed genetic introgression between the diploid species and its taxonomic hybrid within the same valleys. In introgressants, no morphological changes were observed compared to those of pure species. Three specimens of the tetraploid species (of a total of 9) had a genetic admixture of the diploids in an open subalpine/alpine landscape. Furthermore, in three diploids (of a total of 37) the introgression from the tetraploid was observed. We infer that the introgression between various levels of ploidy may have been through a triploid bridge. </span></p>
Petroglyphs - Valley of Fire, Nevada
Created in RealityCapture by Capturing Reality from 196 images in 00h:35m:03s. Source: Objaverse 1.0 / Sketchfab
Esk Valley owl village
Sculpture by Steve Iredale https://en-gb.facebook.com/pages/category/Museum/Steve-Iredale-Sculpture-591351007569840/ Source: Objaverse 1.0 / Sketchfab
Point clouds (LAZ): Towards a spatial data repository for archaeological research in the Romanian Mostiștea Basin and Danube Valley
<p>Spatial data are crucial in archaeological research, where orthophotos, digital elevation models, and 3D models are widely used for mapping, documenting, and monitoring archaeological sites. The introduction of affordable and compact unmanned aerial vehicles (UAVs) has significantly advanced the use of UAV-based photogrammetry in the past 20 years. Recently, compact airborne systems have also enabled the capture of thermal, multispectral, and aerial laser scanning data. This study presents the data acquired with different platforms and sensors at Chalcolithic archaeological sites in Romania's Mostiștea Basin and Danube Valley. Since laser scanning and photogrammetry generate large data volumes, data storage and dissemination must also be carefully considered. Based on a thorough study of system performance, data acquisition and processing methods, and data outputs, a workflow for the systematic mapping and documentation of sites has been proposed. Given the experience obtained in the last 5 summer campaigns (2018-2023), 19 sites have been accurately mapped, of which 5 sites are mapped using airborne laser scanning. 18 sites are documented using multispectral photogrammetry, and for 17 sites, interactive image-based 3D models are acquired using true-color photogrammetry. All data are stored on a publicly accessible website for visualization, as well as on an open-data platform for data exchange. For the multispectral data, a raster tile service has been implemented, allowing the use of the data in a GIS environment.</p>
Fig. 1 in On The Study Of Fauna (Macroinvertebrates, Fish, Amphibians, Reptiles, Birds And Mammals) Of The Lower Course Of Shokhdara River Valley In Pamir, Mountain Bodakhshan, Tajikistan
Fig. 1. Study area and sampling station.
Figure 8 in An ethno-botanical study of indigenous medicinal plants and their usage in rural valleys of Swabi and Hazara region of Pakistan
Figure 8. Herbal therapies of indigenous plants in the study area.
Figure 1 in Breeding success of the Stone Curlew Burhinus oedicnemus in Nag Valley (1999-2001), Kharan, Pakistan
Figure 1. Laying dates of the Stone Curlew during different years in Nag Valley, Kharan Pakistan.
Figure 2 in First photographic evidence of Panthera tigris from Neora Valley National Park, Central Himalayas, India
Figure 2. Recorded tiger back view at Kattus Dara, Neora Valley National Park.
Figure 9 in The genus Macrocheles Latreille (Acari: Mesostigmata: Macrochelidae) from Kelkit Valley (Turkey), with three newly recorded mite species
Figure 9. Macrocheles subbadius (female): A. Dorsal view, B. Ventral view.
Figure 11 in The genus Macrocheles Latreille (Acari: Mesostigmata: Macrochelidae) from Kelkit Valley (Turkey), with three newly recorded mite species
Figure 11. Macrocheles robustulus (female): A. Dorsal view, B. Ventral view.
Figure 8 in The genus Macrocheles Latreille (Acari: Mesostigmata: Macrochelidae) from Kelkit Valley (Turkey), with three newly recorded mite species
Figure 8. Macrocheles merdarius (female): A. Dorsal view, B. Ventral view.
Figure 3 in The genus Macrocheles Latreille (Acari: Mesostigmata: Macrochelidae) from Kelkit Valley (Turkey), with three newly recorded mite species
Figure 3. Macrocheles glaber (male): A. Dorsal view, B. Ventral view, C. Chelicera.
Figure 1 in The genus Macrocheles Latreille (Acari: Mesostigmata: Macrochelidae) from Kelkit Valley (Turkey), with three newly recorded mite species
Figure 1. Macrocheles muscaedomesticae (female): A. Dorsal view, B. Ventral view.
Emerald Valley (RGB) - Piti, Guam
<p>This orthomosaic of Piti, Guam was created from 70 images taken on September 25 2024, at 200 ft AGL, with a M350. The mission was planned using the DJI Pilot application and post-processed using Drone Deploy.<br><br>This project was made possible through funding by the following grant(s): NASA Guam EPSCoR (80NSSC22M0052), NASA Guam Space Grant (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).</p>
Image 174 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 174. Asticopterus jama kada
Image 175 in Butterflies (Lepidoptera) of Dibang Valley, Mishmi Hills, Arunachal Pradesh, India
Image 175. Polytremis eltola
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.