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.
5,805
datasets available to search
ShareScore release 0.9.0
Dataset results
5,805 results for “Data model”
Data from: Phenomenological vs. biophysical models of thermal stress in aquatic eggs
[No abstract entered]
Deep learning models for generation of precipitation maps based on NWP Data
<p>Numpy arrays used in the paper "Deep learning models for generation of precipitation maps based on NWP".</p> <p>trn = training set<br> vld = validation set<br> tst = test set<br> x = COSMO-DE-EPS ensemble statistics<br> y = high definition radar precipitation<br> t = time<br> c = COSMO-DE-EPS precipitation prediction</p>
Data from: Sensory-Behavioral Deficits in Parkinson's Disease: Insights from a 6-OHDA Mouse Model
<table> <tbody> <tr> <td>Parkinson's disease (PD) is characterized by the degeneration of dopaminergic neurons in the striatum, predominantly associated with motor symptoms. However, non-motor deficits, particularly sensory symptoms, often precede motor manifestations, offering a potential early diagnostic window. The impact of non-motor deficits on sensation behavior and the underlying mechanisms remains poorly understood. In this study, we examined changes in tactile sensation within a Parkinsonian state by employing a mouse model of PD induced by 6-hydroxydopamine (6-OHDA) to deplete striatal dopamine (DA). Leveraging the conserved mouse whisker system as a model for tactile-sensory stimulation, we conducted psychophysical experiments to assess sensory-driven behavioral performance during a tactile detection task in both the healthy and Parkinson-like states. Our findings reveal that DA depletion induces pronounced alterations in tactile sensation behavior, extending beyond expected motor impairments. We observed diverse behavioral deficits, spanning detection performance, task engagement, and reward accumulation, among lesioned individuals. While subjects with extreme DA depletion consistently showed severe sensory behavioral deficits, others with substantial DA depletion displayed minimal changes in sensory behavior performance. Moreover, some exhibited moderate degradation of behavioral performance, likely stemming from sensory signaling loss rather than motor impairment. The implementation of a sensory detection task is a promising approach to quantify the extent of impairments associated with DA depletion in the animal model. This facilitates the exploration of early non-motor deficits in PD, emphasizing the importance of incorporating sensory assessments in understanding the diverse spectrum of PD symptoms.</td> </tr> </tbody> </table>
Screenshots of AGC-MAC: A Conceptual Model-based Platform for the Management and Analysis of Clinical Data of Retina-Macula Diseases
Open the record for dataset details and reuse information.
Data and scripts for "Unraveling the discrepancies between Eulerian and Lagrangian moisture tracking models in monsoon- and westerly-dominated basins of the Tibetan Plateau", to appear in Atmos. Chem. Phys.
Open the record for dataset details and reuse information.
Demonstration of ClinGenNBL v2: A Model-based Application for the Management of Data associated with Neuroblastoma
Open the record for dataset details and reuse information.
Modelling and mapping heavy metal accumulation in moss and natural surface soil throughout Norway (1990-2010), link to research data and scientific software
<p>Research data and scientific software related to an investigation of statistical relations between the accumulation of heavy metals in moss and natural surface soil and potential influencing factors such as atmospheric deposition. Data were collected in 1995, 2000, 2005 and 2010 throughout Norway. Statistical correlations of a set of potential predictors (elevation, precipitation, density of different land uses, population density, physical properties of soil) with concentrations of cadmium, mercury and lead in moss and natural surface soil were evaluated. Spatio-temporal trends were estimated by use of multivariate regression-kriging and generalized linear models.</p>
Integrative evaluation of biomonitoring data and modelings indicating atmospheric deposition of heavy metals, link to research data and scientific software
<p>Research data and scientific software related to integrative statistical analyses based on deposition data calculated with the model LOTOS-EUROS (LE) and the EMEP/MSC-East model (Germany, Europe) and Biomonitoring data on As, Cd, Cr, Cu, Ni, Pb, Zn concentrations in moss, leaves and needles and soil derived from the European Moss Survey (EMS), the German Environmental Specimen Bank (ESB) and the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests). The modelled HM deposition and respective concentrations in moss (EMS), leaves and needles (ESB, ICP Forests) and soil (ICP Forests) were investigated for their statistical relationships. Regression kriging was applied to calculate maps of Cd and Pb deposition across Germany.</p>
Random Forest models and maps of heavy metal and nitrogen concentrations in moss in 2010 across Europe, link to research data and scientific software
<p>Research data and scientific software related to a study exploring the statistical relations between the concentration of nine heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb, V, Zn) and N in moss specimens collected in 2010 throughout Europe and a set potential explanatory variables (such as the atmospheric deposition calculated by use of two chemical transport models, distance from emission sources, density of different land uses, population density, elevation, precipitation, clay content of soils). Statistical analysis and modelling relies on Random Forest (RF). RF-models in conjunction with a Geographical Information System (GIS) were then used for mapping spatial patterns of element concentrations in moss across Europe.</p>
A Layer Model for the Railway Infrastructure Design Process - Supplement Data
<p>This repository is the supplement data for the dissertation <em>"</em><em>A Layer Model for the Railway Infrastructure Design Process"</em>. The main result is the `schema/layer_model.json` file with the result of the dissertation in the <a href="https://json-schema.org">JSON Schema format</a>. The result was achieved by following the <a href="https://doi.org/10.2307/25148625">Design Science Research method</a>, which consists of cycles. The cycles are documented in the `DSR_cycles` folder and the git commits of this repository. The final result of the DSR cycles is an artefact in the `/` respectively the folders `data/layers`, `schema`, `src`, and `test`. <a href="https://julialang.org">Julia</a> and <a href="https://yaml.org">YAML</a> were used for data transformation and data input.</p>
Data for paper "Effects of Selective Simulated Seeding on the Lightning Potential Index in Northern Switzerland using the COSMO Model"
<p>This data is used in the paper "Effects of Selective Simulated Seeding on the Lightning Potential Index in Northern Switzerland using the COSMO Model". This data is supplemented by software, i.e. the code which was used to conduct the data analysis as well as plot the data, which is separately available on Zenodo. "LINET.nc" is the data for the observed lightning activity on 2019-07-06, provided by Nowcast GmbH. Additionally, there are 10 files "ens**_ctrl_lpi_fullcosmodomain.nc" which contain the simulated lightning activtiy corresponding to that date. These aforementioned files are used in the jupyter notebook "LINET_LPI_comparison.ipynb". The remaining 40 files "ens**_[ctrl or seedlow or seedmed or seedhigh].nc" are used in "data_analysis.ipynb".</p>
Data and code for: Modeling algal defenses under multiple stressors: impacts on explanatory and predictive performance
<p>First release for Zenodo</p>
Data from: Striatal lateral inhibition regulates action selection in a mouse model of levodopa-induced dyskinesia
<p>Data from: Twedell, Bair-Marshall, Girasole, Scaria, Sridhar, & Nelson (2024) <span>Striatal lateral inhibition regulates action selection in a mouse model of levodopa-induced dyskinesia </span><span>(preprint version).</span></p>
Data for publication "The impact of mesh size and microphysics scheme on the representation of mid-level clouds in the ICON model in hilly and complex terrain"
Open the record for dataset details and reuse information.
Fig. 4. Brachistosternus diaguita n in On the southernmost high Andean scorpion species, with the identification of a cryptic new species of Brachistosternus (Bothriuridae) through morphology, molecular data and species distribution models
Fig. 4. Brachistosternus diaguita n. sp. habitus. A, B. Male. A. Dorsal aspect, B. Ventral aspect. C, D. Female, C. Dorsal aspect. D. Ventral aspect. Scale bar: 1 cm.
Input Data for C-BREC Model v1.2.1
<p>This represents the necessary input data for running the <a href="https://schatzcenter.org/cbrec">California Biomass Residue Emissions Characterization (C-BREC) Model</a>. This is supplemental data for <a href="https://doi.org/10.5281/zenodo.5230273">C-BREC release v1.2.1</a>. The C-BREC Model code can be found on GitHub at <a href="https://github.com/schatzcenter/CBREC">https://github.com/schatzcenter/CBREC</a>.</p>
Model data
<p>The model data from three microphysics schemes (MORR, MY2, THOM) in the Meiyu Case</p>
Cloud-resolving modelling data from Fedorov et al. (2019)
<p>Here we investigate tropical cyclogenesis in warm climates, focusing on the effect of reduced equator-to-pole temperature gradient relevant to past equable climates and, potentially, to future climate change. Using a cloud-system resolving model that explicitly represents moist convection, we conduct idealized experiments on a zonally periodic equatorial β-plane stretching from nearly pole-to-pole and covering roughly one-fifth of Earth's circumference. To improve the representation of tropical cyclogenesis and mean climate at a horizontal resolution that would otherwise be too coarse for a cloud-system resolving model (15 km), we use the hypohydrostatic rescaling of the equations of motion, also called reduced acceleration in the vertical. The simulations simultaneously represent the Hadley circulation and the intertropical convergence zone, baroclinic waves in mid-latitudes, and a realistic distribution of tropical cyclones (TCs), all without use of a convective parameterization. Using this model, we study the dependence of TCs on the meridional sea surface temperature gradient. When this gradient is significantly reduced, we find a substantial increase in the number of TCs, including a several-fold increase in the strongest storms of Saffir–Simpson categories 4 and 5. This increase occurs as the mid-latitudes become a new active region of TC formation and growth. When the climate warms we also see convergence between the physical properties and genesis locations of tropical and warm-core extra-tropical cyclones. While end-members of these types of storms remain very distinct, a large distribution of cyclones forming in the subtropics and mid-latitudes share properties of the two.</p>
Modelling spatial patterns of correlations between concentrations of heavy metals in mosses and atmospheric deposition across Europe in 2010, link to research data and scientific software
<p>Research data and scientific software related to a study investigating the correlations between the concentrations of nine heavy metals in moss and atmospheric deposition within ecological land classes covering Europe. Additionally, it is examined to what extent the statistical relations are affected by the land use around the moss sampling sites.</p>
Data models and Revit models
<p>Data models and Revit models used for the article. </p>
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.