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.
14
datasets available to search
ShareScore release 0.9.0
Dataset results
14 results for “landscape evaluation”
Land cover, landscape metrics and typology of European cities for Urban Forest Ecosystem Services (UFES) evaluation
<p>The data refers to the paper "<em>Urban Forests as Regulating Ecosystems: Types and Ranking of European Cities</em>"</p> <p>The datasets provide a typology for 689 European urban areas, the land cover metrics and landscape metrics used to create the typology and the Urban Forest Ecosystem Services (UFES) indexes created from them.</p> <p>The typology of Urban Forest Ecosystem Services (UFES) presents 10 clusters of cities aggregated into 4 groups: Forest cities, Anthropogenic cities, Herbaceous cities and Standard European cities. The data can be used to support urban planning policies at local and regional scales; in urban forestry, urban form and ecosystem services work related at different spatial scales. The metrics used capture the spatial integration of different layers of natural, semi-natural and artificial land within functional urban areas.</p> <p> </p> <p>The datasets are a csv file (<code>Metrics.csv</code>) and a shapefile (<code>UFES.shp</code>) of polygons with attributes.</p> <ul> <li> <p><code>UFES.shp</code> attributes' are the following: FUA codes, country name, main city name, clusters and groups of FUAs resulting from the hierarchical cluster analysis (HCA), the R color codes used in the article, the five UFES budget indexes as well as an aggregated global UFES index for each FUA.</p> </li> <li> <p><code>Metrics.csv</code> contains the FUA codes, the land cover and landscape metrics used in the HCA.</p> </li> </ul> <p> </p>
Evaluating the summer landscapes of predation risk and forage quality for elk (Cervus canadensis)
<p>These data accompany the paper "Evaluating the summer landscapes of predation risk and forage quality for elk (<em>Cervus canadensis</em>)", and are the unscaled version of the second- and third-order resource selection data sets for elk. Each data set consists of 6 columns: elkid (a unique identifier for every individual), used (an indicator: 0 = available sample, 1 = used sample), year, de (modeled digestible energy), lion (predicted relative probability of selection for mountain lions) and wolf (predicted relative probability of selection for wolves).</p>
Hypothetical landscapes to evaluate connectivity metrics of protected area networks.
<p>This repo contains the raw datasets (as GIS shapefiles) useful to evaluate connectivity metrics of protected area networks. Please suggest if additional landscapes could be added that would be useful to evaluate an additional class or characteristic of protected area networks. They were created using Google Earth Engine script: <strong><a href="https://code.earthengine.google.com/d1a8dfa3202ac8b4e55657bd3b5a1160">https://code.earthengine.google.com/d1a8dfa3202ac8b4e55657bd3b5a1160</a>.</strong></p> <p>Two shapefiles are provided: (1) ProNet_connectivity_library_L1_26pa -- this contains polygons that represent the size and shape of protected areas (PAs); (2) ProNet_connectivity_library_L1_26pae -- this contains polylines that represent "edges" that do not represent any protected area but denotes that two PAs are connected. Note that these landscapes are fictitious, and represented at the global origin (i.e. 0.0 degrees latitude and 0.0 degrees longitude) -- and are quite small so zooming in will be required to see them in GIS software.</p>
Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes
<p>Refer to the <a href="https://github.com/fhalab/SSMuLA">SSMuLA Github repository</a> for the associated code</p> <p>See our <a href="https://doi.org/10.1101/2024.10.24.619774">paper</a> titled "Evaluation of Machine Learning-Assisted Directed Evolution Across Diverse Combinatorial Landscapes"</p> <p> </p>
Evaluation of the role of environmental, habitat and landscape heterogeneity for lizard communities along the island of Cyprus' riverbanks
<p><span>The raw data of the recorded species’ occurrence and abundance, as well as all the other variables examined for the PhD research "Evaluation of the role of environmental, habitat, and landscape heterogeneity for lizard communities along the island of Cyprus’ riverbanks,".</span></p>
Data from: Evaluating carbon storage, timber harvest, and habitat possibilities for a western Cascades (US) forest landscape
Open the record for dataset details and reuse information.
Data from: Evaluating metabarcoding to analyse diet composition of species foraging in anthropogenic landscapes using Ion Torrent and Illumina sequencing
Open the record for dataset details and reuse information.
Data from: Tangled banks: a landscape genomic evaluation of wallace's riverine barrier hypothesis for three amazon plant species
Open the record for dataset details and reuse information.
Data from: Using simulations to evaluate Mantel-based methods for assessing landscape resistance to gene flow
Mantel-based tests have been the primary analytical methods for understanding how landscape features influence observed spatial genetic structure. Simulation studies examining Mantel-based approaches have highlighted major challenges associated with the use of such tests and fueled debate on when the Mantel test is appropriate for landscape genetics studies. We aim to provide some clarity in this debate using spatially explicit, individual-based, genetic simulations to examine the effects of the following on the performance of Mantel-based methods: (1) landscape configuration, (2) spatial genetic nonequilibrium, (3) nonlinear relationships between genetic and cost distances, and (4) correlation among cost distances derived from competing resistance models. Under most conditions, Mantel-based methods performed poorly. Causal modeling identified the true model only 22% of the time. Using relative support and simple Mantel r values boosted performance to approximately 50%. Across all methods, performance increased when landscapes were more fragmented, spatial genetic equilibrium was reached, and the relationship between cost distance and genetic distance was linearized. Performance depended on cost distance correlations among resistance models rather than cell-wise resistance correlations. Given these results, we suggest that the use of Mantel tests with linearized relationships is appropriate for discriminating among resistance models that have cost distance correlations <0.85 with each other for causal modeling, or <0.95 for relative support or simple Mantel r. Because most alternative parameterizations of resistance for the same landscape variable will result in highly correlated cost distances, the use of Mantel test-based methods to fine-tune resistance values will often not be effective.
Study to Evaluate Chronic Myeloid Leukemia Treatment Landscape and Real-life Treatment Outcomes in Hungary: Analysis of National Health Insurance Fund Database
ClinicalTrials.gov study NCT05286528. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating the effects of land-use change and future climate change on vulnerability of coastal landscapes to saltwater intrusion
Open the record for dataset details and reuse information.
Data from: Using simulations to evaluate Mantel-based methods for assessing landscape resistance to gene flow
Open the record for dataset details and reuse information.
Glucose metabolic profiles evaluated by PET associated with molecular characteristic landscape of gastric cancer
GEO Series GSE164961. Homo sapiens. 53 samples. Type: Expression profiling by high throughput sequencing.
Localized Analysis of Normalized Distance From Scalp to Cortex and Personalized Evaluation (LANDSCAPE)
ClinicalTrials.gov study NCT05967390. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
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.