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.
870
datasets available to search
ShareScore release 0.9.0
Dataset results
870 results for “Model development”
Development of a multivariable risk model integrating urinary peptide metabolites and Extracellular Vesicle RNA data to detect significant prostate cancer
<p>The aim of this study was to investigate whether the robust integration of expression data from urinary extracellular vesicle RNA (EV-RNA) with urine proteomic metabolites can accurately predict PCa biopsy outcome. Urine samples were analyzed by mass spectrometry and NanoString gene-expression analysis. As a result, four classifiers were generated: ‘MassSpec’ (CE-MS proteomics), ‘EV-RNA’, ‘SoC’ (standard of care) and ‘ExoSpec’. The best prediction for Gs³3+4 at initial biopsy (AUC=0.83, 95% CI:0.77-0.88) was achieved by applying ‘ExoSpec’ classifier and he outperformed other predictive classifiers. In addition, the results showed that the performance of ‘ExoSpec’ could reduce unnecessary biopsies by 30%.</p>
Data for: A general framework for modelling thermal and hydric constraints on eggs developing in soil
<p>Data files to reproduce all the figures and appendices of "A general framework for modelling thermal and hydric constraints on eggs developing in soil".</p>
Blaschka Glass Model of Sponge Development
Micro CT scan of a Blaschka model of the sponge Sycandra Raphanus from the D'Arcy Thompson Zoology Museum at the University of Dundee. DUNUC 9319 - glass model (incomplete) of the development stage of a sponge (Sycandra raphanus). Width=9cm. D'Arcy Thompson acquired a set of Blaschka's exquistely delicate glass models in 1888. In Growth and Form, D'Arcy refers repeatedly to the art of the glass-blower, perhaps thinking of these very models. Scanned with a Nikon XT H 225ST micro CT scanner. The resulting file is exported as an stl. and imported in to Zbrush. We'd love to hear from you if you download or print our models, especially if you use them in education and outreach. Source: Objaverse 1.0 / Sketchfab
Raw data and correlation analysis of physiological data sampled from Atlantic halibut (Hippoglossus hippoglossus) for the development of a PBPK model
<p>Raw data sampled from Atlantic halibut <em>(Hippoglossus hippoglossus)</em> for the characterization of physiological parameters for the development of a species-specific physiology-based pharmacokinetic (PBPK) model. Additionally, the document containes imputed data for a PCA analysis and correlation coefficients and the related p-values from a correlation analysis. </p>
Developing epidemiological preparedness for a probable plant disease invasion: modelling citrus huánglóngbìng in the European Union
<p>Video 1: Spread of the vector in a single simulation in Region A (Valencia). Corresponds to Fig S10 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure.</p> <p>Video 2: Spread of the pathogen in a single simulation in Region A (Valencia). Corresponds to Fig 3 in main text. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction.</p> <p>Video 3: Spread of the pathogen in a single simulation in Region A (Valencia) using baseline parameters for detection and control. Corresponds to Fig 6 in main text. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell</p> <p>Video 4: Spread of the vector in a single simulation in Region B (Andalusia). Corresponds to Fig S13 in supplementary material. Maps show the measure of vector density within each cell and light grey shows initial exposure.</p> <p>Video 5: Spread of the pathogen in a single simulation in Region B (Andalusia). Corresponds to Fig S14 in supplementary material. Both vector and pathogen are introduced simultaneously at t=0 into a single 1km x 1km cell. Maps showing the density of infected citrus host units (E+C+I) within each cell at different times after introduction.</p> <p>Video 6: Spread of the pathogen in a single simulation in Region B (Andalusia) using baseline parameters for detection and control. Corresponds to Fig S17 in supplementary material. Maps show densities of infected citrus (E+C+I) in each 1km x 1km cell</p>
Identification of Potential Biomarkers for Cerebral Palsy and the Development of Prediction Models
Open the record for dataset details and reuse information.
Solar Wind - Venus Interaction during the Solar Maximum & Solar Minimum 1 Periods: A Newly Developed Multi-Fluid MHD Model
Open the record for dataset details and reuse information.
Data for "Evaluation of Low Impact Development and Nature-Based Solutions for stormwater management: a fully distributed modelling approach"
<p>The data set corresponds the data used in the paper : “Evaluation of Low Impact Development and Nature-Based Solutions for stormwater management: a fully distributed modelling approach”, published in 2019 in the Journal “Hydrology and Earth System Sciences” (http://www.hydrol-earth-syst-sci.net/).</p> <p>More precisely it corresponds to the simulation input data that used in the Multi-Hydro model and the simulated discharge of the five scenarios investigated in the paper.</p>
Self-organized transport model of spark discharge development and its application to the process of lightning initiation in a thundercloud
<p>This video visualizes results obtained by a small-scale transport model of electrical discharge formation in a thundercloud. The model discharge tree is a dynamic graph, nodes and edges of which are capacitive and conductive elements, respectively, electrical parameters of which vary with time. In the framework of the used approach, a heated well-conducting lightning leader channel is formed by combining the currents of tens of thousands of streamers, each of which initially has a negligible conductivity and a temperature, which does not differ from the ambient value. The model leader has electrical characteristics, which are intermediate between the laboratory long spark and the developed lightning channel, which is expected for an “immature” lightning leader.</p>
A Model for the Development of Alzheimer's Disease
<p>Here is the code and supplementary data for the paper "A Model for the Development of Alzheimer’s Disease". The file Alzheimer-model.code.tar.gz contains the code. Supplementary Data.rar includes supplementary data S1 to S7. Supplementary data S1 contains all transcript sequences of the groups, supplementary data S2 contains the genome annotation file assembled by StringTie, supplementary data S3 contains the TPM expression files of all assembled transcripts, supplementary data S4 contains the differential transcripts files, supplementary data S5 contains the functional annotation files of protein-coding transcripts, supplementary data S6 contains the pathways enriched by all differential transcripts, and supplementary data S7 contains information of all samples.</p>
Improved cross-scale snow cover simulations by developing a scale-aware parameterization in the Noah-MP land surface model
<p>Noah-MP data used to support the analyses conducted by Abolafia-Rosenzweig et al.: <strong>Improved </strong><strong>cross-scale </strong><strong>snow cover simulations by developing a scale-aware parameterization in the Noah-MP land surface model</strong></p>
Data from: Developing state and transition models of floodplain vegetation dynamics as a tool for conservation decision-making: a case study of the Macquarie Marshes Ramsar wetland
1. Floodplain vegetation states (communities) exhibit spatiotemporal dynamics in vegetation structure and composition, which reflect unique hydrological and connectivity patterns. Shifts in inundation regimes can drive succession and establish new stable states, determined by the magnitude and duration of the hydrological perturbation. 2. We aimed to develop a modelling approach that is able to capture ecosystem dynamics, identify and quantify the main drivers of change, and provide a tool for conservation decision-making. We developed state and transition models for floodplain vegetation states based on surveys in 1991 and 2008 in the Macquarie Marshes (Australia), a Ramsar wetland of international importance. We used a Bayesian logistic regression approach to model state and transitions between vegetation states and investigated how flood frequency, distance to stream and fire frequency were associated with vegetation dynamics during this period. 3. During 1991–2008, significant transitions have occurred towards drier states. Semi-permanent wetland vegetation had the lowest persistence probability (ppsis = 0·456) and a significant threshold response of transitioning to terrestrial vegetation (ptran = 0·505). Transition to drier states was driven by lower inundation probabilities followed by increased fire probability, and distance to nearest stream. 4. Using developed models, we predicted persistence probabilities of vegetation states under an unregulated (i.e. no dams or diversions) and regulated water availability system. Under a regulated system, semi-permanent wetland vegetation had an average persistence of ppsis = 0. 67 and 0·08 in the northern and southern sections of the nature reserve, respectively. Under an unregulated system, the predicted persistence of semi-permanent wetland vegetation was considerably higher: ppsis = 0·87 and 0·38, respectively. 5. Synthesis and applications. Developing quantitative models of state transitions significantly improved our understanding of ecosystem dynamics, identifying sensitive indicators for monitoring and thus supporting conservation decision-making. This helps managers understand potential trajectories of change in ecosystems in response to management options. For example, increasing environmental flows in the Macquarie Marshes is predicted to shift the community towards more of a wetland than the terrestrial state, resulting from river regulation. State and transition models identified how key ecological assets respond to drivers of change, particularly where these can be managed. This is critical for ensuring that all ecosystem components are managed and that these do not shift into undesirable states.
CT data and 3D models associated with: Palaeoneurology of the Early Cretaceous iguanodont Proa valdearinnoensis and its bearing on the parallel developments of cognitive abilities in theropod and ornithopod dinosaurs
<p><i>Proa valdearinnoensis </i>is a relatively large-headed and stocky iguanodontian dinosaur from the latest Early Cretaceous of Spain. Its braincase is known from three specimens. Similar to that of other dinosaurs, it shows a mosaic ossification pattern in which most of the bones seem to have fused together indistinguishably while a few bones (frontoparietal, basioccipital) might have remained loosely attached. The endocasts of the three specimens are described based on CT data and digital reconstructions. They show unmistakable morphological similarities with the endocast of closely related taxa, such as <i>Sirindhorna khoratensis </i>(which is close in age but from Thailand). This supports a high conservatism of the endocranial cavity. The issue of volumetric correspondence between endocranial cavity and brain in dinosaurs is analysed. Although a brain-to-endocranial cavity (BEC) index of 0.50 has been traditionally used, we employ instead 0.73. This is indeed the mid-value between the situation in adults of <i>Alligator mississippiensis</i> and <i>Gallus gallus</i>, which are members of the extant bracketing taxa of dinosaurs (Crocodilia and Aves). We thence gauge the level of encephalisation of <i>Proa valdearinnoensis</i> by the calculation of the Encephalisation Quotient (EQ), which remains valuable as a metric for assessing the degree of cognitive function in extinct taxa, especially those with fully ossified braincases like dinosaurs and other archosaurs. The EQ obtained for <i>Proa valdearinnoensis</i> (3.611) suggests that this species was significantly more encephalised than most if not all extant non-avian, non-mammalian amniotes. Our work adds to the growing body of data concerning theoretical cognitive capabilities in dinosaurs and supports the idea that increasing encephalisations were fostered not only once in theropods but also in parallel in the shorter-lived lineage of ornithopods. <i>Proa valdearinnoensis</i> was ill-equipped to respond to theropod dinosaurs and possibly lived in groups as a strategy to mitigate the risk of being predated upon. We hypothesize that group-living and protracted caring of juveniles in this and possibly many other iguanodontian ornithopods favoured a degree of encephalisation that was outstanding by reptile standards.</p>
Impacts of concentrated seepage flow on suffusion development in cohesionless soil: insight from a theoretical model
<p>The uploaded file is the original data of a paper submitted to the journal of " Water Resources Research"</p>
The moisture plasticizing effect on enzyme-catalyzed reactions in model and real systems in view of legume ageing and their hard to cook development
<p>Data used for the figures in the article</p>
KI Process Model Developed for SIAM Project
<p>Process Model Diagram for KI Development Process improved with practices from SCRUM, XP, Design Thinking, and UX Methods by using the Method Engineering Tools Developed in the SIAM Project. </p> <p>Updated with the source XMI file for Ki Process Specification (KiProcess.mprocesos) and the corresponding ecore metamodel (mprocesos.ecore)</p> <p> </p> <p>*The names of the elements in the process are in Spanish.</p>
Developers' Visuo-spatial Mental Model and Program Comprehension
<p>Dataset for the paper entitled: "Developers' Visuo-spatial Mental Model and Program Comprehension"</p>
Estradiol Enhances the Development of Addition-Like Features in a Female Rat Model of Opioid Use Disorder
<p>This dataset indicates that, as with findings with psychostimulants and alcohol, estradiol enhances vulnerability in females to developing opioid addiction-like features and serious opioid-related health complications in a rat model of opioid use disorder.</p>
Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X
<p>dataset for figures in the paper</p> <p> Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X</p>
SAMI3/WACCM-X Modeling of the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum
<p>Data set for figures in the paper ' Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X'</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.