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.
506
datasets available to search
ShareScore release 0.9.0
Dataset results
506 results for “assessment model”
Fig. 5 in Phylogenomic Variation at the Population-Species Interface and Assessment of Gigantism in a Model Wolf Spider Genus (Lycosidae, Schizocosa)
Fig. 5. Cluster analysis of unlinked SNPs using VAE and carapace length of (a) male and (b) female individuals from Davis, CA. Individuals with carapace length (a)>8.5 mm (male) and (b)>10.0 mm (female) are indicated as S. MaxiMa.
Fig. 4 in Phylogenomic Variation at the Population-Species Interface and Assessment of Gigantism in a Model Wolf Spider Genus (Lycosidae, Schizocosa)
Fig. 4. Cluster analysis of unlinked SNPs using VAE for "Western group" individuals. Individuals are assigned to clades from the concatenated analysis (see Fig. 1).
Fig. 8 in Phylogenomic Variation at the Population-Species Interface and Assessment of Gigantism in a Model Wolf Spider Genus (Lycosidae, Schizocosa)
Fig. 8. Waveforms from substrate-borne vibrations produced by males in response to female pheromone cues. Phylogeny is based on maximum likelihood analysis of the concatenated dataset generated with IQ-TREE (see Fig. 2).
Datasets for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"
<p>CMIP6-forced EcoOcean data for "A skill assessment framework for the Fisheries and Marine Ecosystem Model Intercomparison Project"</p> <p> </p>
Ammonia and ammonia/hydrogen combustion: Comprehensive quantitative assessment of kinetic models and examination of critical parameters
<p>This repository contains data on laminar burning velocity, ignition delay time, and species concentration measured in fundamental combustion experiments involving ammonia and ammonia/hydrogen mixtures. The data, compiled from literature sources, is used in the publication titled 'Ammonia and ammonia/hydrogen combustion: Comprehensive quantitative assessment of kinetic models and examination of critical parameters' in Combustion and Flame.</p>
Input files for elPaSo for the paper: Efficient Solution Strategies for Cabin Noise Assessment of wave-resolving Aircraft Fuselage Models
<div> <div>This dataset showcases the input and output data for the paper: "Efficient Solution Strategies for Cabin Noise Assessment of wave-resolving Aircraft Fuselage Models".</div> <div> </div> The model data are made available in the folder "models" and contain the three models corresponding to the frequency-dependent mesh of the aircraft fuselage model. <div>Three frequency-dependent meshes are placed in subfolders, where the number indicates up to which frequency in Hz the respective model can be used. Here, the ".cub5" files are the mesh files created by the meshing tool Coreform Cubit. For the application of the FEM elPaSo is used. Here, the ".hdf5" files serve as the elPaSo input.</div> <div>Once computed, the results are written in the "eGenOutput*.hdf5" files. The results for the degrees of freedom across the frequency domain can be found here.</div> </div>
Risk-of-bias v.2 assessment with large language models
<p>See https://bitbucket.org/aimedtech/fewshot_rob for more information.</p>
A non-invasive BCG skin challenge model for assessing tuberculosis vaccine efficacy
<p>Flow cytometry FCS files for Figure 3 days 7 and 14.</p>
"A Comprehensive Global Modelling Assessment of Nitrate Heterogeneous Formation on Desert Dust": Column loads monthly means per species.
<p>Column load monthly means of the different species traced with the MONARCH model. <br>The period is 201707 - 201712 (spin-up) and 201801 - 201812 (study period). <br><br>Files are distributed by type of mechanism (fTEQ, HYB and DBCLL) and species in the structure: <br><br><mechanism>_outputs/<methodology>/monthly_means/<species>/<species>_<YYYYMM>.nc</p>
Dataset for paper: Maturity assessment and maturity models in healthcare: a multivocal literature review
<p><strong>Pool of primary sources</strong><strong> studied in: Maturity assessment and maturity models in healthcare: a multivocal literature review</strong></p>
Supplemental material to 'Evaluation of force-based and displacement-based out-of-plane seismic assessment methods for unreinforced masonry walls through refined model simulations'
<p>This repository contains the results of discrete element simulations used to study the response of vertically-spanning unreinforced masonry walls under different wall configurations. The simulations are run using the software package UDEC 6.0 (<a href="https://www.itascacg.com/">Itasca</a>). The dataset has served as basis for the study conducted in the following paper:</p> <blockquote> <p>Godio M, Beyer K. Evaluation of force-based and displacement-based out-of-plane seismic assessmentmethods for unreinforced masonrywalls through refined model simulations. Earthquake Engng Struct Dyn. 2019;48:454-475. <a href="http://doi.org/10.1002/eqe.3144">DOI:10.1002/eqe.3144</a></p> </blockquote> <p>Version history:<br> V1: datasets '01_UDEC_VALIDATION' and '02_UDEC_RESULTS are added<br> V2: minor modifications to the datasets: deletion of unwanted temporary files from the datasets<br> V3: '00_CONTENT' PDF-file is added </p>
Datasets for "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations"
<p>This repository provides the datasets for the publication "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations".</p>
Data from: Advancing model-based ecosystem services assessments for policy support.
<p><span>Urban nature is increasingly recognized for its potential to address various societal challenges through the delivery of ecosystem services (ES). However, large-scale and comparative assessments quantifying this potential are hardly available. In this study, we modelled<span> </span>five ES (local temperature regulation, flood protection, global climate regulation, habitat protection, and interaction with nature) across 708 European urban areas. We quantified the ES based on a consistent supply-demand approach, using indicators representing the extent to which urban ecosystems’ capacity to provide a service was sufficient to meet societal demands. <span>We quantify each ES indicator using spatially explicit assessment methods, </span>building upon existing ES modelling tools (the urban InVEST model and GLOBIO-ES model) and publicly accessible data (e.g. Urban Atlas Land Use Land Cover from the European Urban Atlas dataset. </span></p>
Cultural diversity self-assessment model - Questionnaire dataset
Open the record for dataset details and reuse information.
Assessing the longwave components of the Earth's radiation budget from modeling and observational perspectives - coarse resolution datasets
Open the record for dataset details and reuse information.
High quality figures of "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations"
<p>This repository provides the figures for the publication "Global Assessment of Atmospheric Forcing Uncertainties in The Common Land Model 2024 Simulations" in their original resolution, ensuring clarity the high-quality visual representations for readers.</p>
Data from: A modelling framework to assess the effect of pressures on river abiotic habitat conditions and biota
River biota are affected by global reach-scale pressures, but most approaches for predicting biota of rivers focus on river reach or segment scale processes and habitats. Moreover, these approaches do not consider long-term morphological changes that affect habitat conditions. In this study, a modelling framework was further developed and tested to assess the effect of pressures at different spatial scales on reach-scale habitat conditions and biota. Ecohydrological and 1D hydrodynamic models were used to predict discharge and water quality at the catchment scale and the resulting water level at the downstream end of a study reach. Long-term reach morphology was modelled using empirical regime equations, meander migration and 2D morphodynamic models. The respective flow and substrate conditions in the study reach were predicted using a 2D hydrodynamic model, and the suitability of these habitats was assessed with novel habitat models. In addition, dispersal models for fish and macroinvertebrates were developed to assess the re-colonization potential and to finally compare habitat suitability and the availability / ability of species to colonize these habitats. Applicability was tested and model performance was assessed by comparing observed and predicted conditions in the lowland Treene River in northern Germany. Technically, it was possible to link the different models, but future applications would benefit from the development of open source software for all modelling steps to enable fully automated model runs. Future research needs concern the physical modelling of long-term morphodynamics, feedback of biota (e.g., macrophytes) on abiotic habitat conditions, species interactions, and empirical data on the hydraulic habitat suitability and dispersal abilities of macroinvertebrates. The modelling framework is flexible and allows for including additional models and investigating different research and management questions, e.g., in climate impact research as well as river restoration and management.
Data from: Enamel hypoplasia and dental wear of North American late Pleistocene horses and bison: an assessment of nutritionally-based extinction models
Approximately 50,000 – 11,000 years ago many species around the world became extinct or were extirpated at a continental scale. The causes of the late Pleistocene extinctions have been extensively debated and continue to be poorly understood. Several extinction models have been proposed, including two nutritionally-based extinction models: coevolutionary disequilibrium and mosaic-nutrient models. These models draw upon the individualistic response of plant species to climate change to present a plausible scenario in which nutritional stress is considered one of the primary causes for the late Pleistocene extinctions. In this study, we tested predictions of the coevolutionary disequilibrium and mosaic-nutrient extinction models through the study of dental wear and enamel hypoplasia of Equus and Bison from various North American localities. The analysis of the dental wear (microwear and mesowear) of the samples yielded results which are consistent with predictions established for the coevolutionary disequilibrium model, but not for the mosaic-nutrient model. These ungulate species show statistically different dental wear patterns (suggesting dietary resource partitioning) during preglacial and full-glacial time intervals, but not during the postglacial in accordance with predictions of the coevolutionary disequilibrium model. In addition to changes in diet, these ungulates, specifically the equid species, show increased levels of enamel hypoplasia during the postglacial indicating higher levels of systemic stress, a result which is consistent with the models tested and with other climate-based extinction models. The extent to which the increase in systemic stress was detrimental to equid populations remains to be further investigated, but suggests that environmental changes during the late Pleistocene significantly impacted North American equids.
Data for "Learning from mistakes - Assessing the performance and uncertainty in process-based models"
<p><strong>Data for the publication "Learning from mistakes - Assessing the performance and uncertainty in process-based models"</strong></p> <p>The corresponding python code can be found at <a href="http://github.com/MoritzFeigl/Learning-from-mistakes">github.com/MoritzFeigl/Learning-from-mistakes</a>.</p> <p>This dataset contains data of hydrological and meteorological observations of the Fortress Ski Area (Alberta, Canada) for August 8-26, 2019. It consists of input and output files for the HFLUX models calibration period (C) and the validation periods (V, V3). The input files containes additional data used in the learning from mistakes workflow. The meteorological data and part of the hydrological data were provided by John Pomeroy and the University of Saskatchewan’s Cold Water Laboratory.</p>
Intermediate data belonging to "Process-based climate change assessment for European winds using EURO-CORDEX and global models"
<p>This dataset contains the intermediate results of Wohland (2022) that are needed to redo the analysis und produce the figures. It allows to bypass those steps that rely on access to the supercomputers at the German Climate Computing Centre (DKRZ). When using this data in academic work, please reference</p> <blockquote> <p>Jan Wohland, Process-based climate change assessment for European winds using EURO-CORDEX and global models, Environmental Research Letters (provisionally accepted on 28/11/2022), 2022</p> </blockquote> <p><strong>Using this data to reproduce results</strong></p> <p>The data can be used together with the code provided in https://github.com/jwohland/kliwist_modelchain</p> <p>In the above mentioned github repository, there is a `run_all.py` script that repeats the analysis presented in Wohland (2022). After downloading and extracting this data, you can ignore the steps under "calculations", and begin with "plots".</p> <p><strong>Underlying data</strong></p> <p>The dataset draws on output from the CMIP5, CMIP6 and EURO-CORDEX initiatives. I thank the climate modeling groups for making their data openly available. In particular, I acknowledge the World Climate Research Programme’s Working Group on Regional Climate, and the Working Group on Coupled Modelling, former coordinating body of CORDEX and responsible panel for CMIP5. I also acknowledge the Earth System Grid Federation infrastructure an international effort led by the U.S. Department of Energy’s Program for Climate Model Diagnosis and Intercomparison, the European Network for Earth System Modelling and other partners in the Global Organisation for Earth System Science Portals (GO-ESSP). I also acknowledge the World Climate Research Programme, which, through its Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6.</p> <p><strong>Funding</strong></p> <p>This work is part of the project "The influence of climate change on wind energy site assessments – KliWiSt" funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK).</p> <p><strong>References to raw data journal articles</strong></p> <blockquote> <p>Jacob, D. <em>et al.</em> EURO-CORDEX: new high-resolution climate change projections for European impact research. <em>Reg Environ Change</em> <strong>14</strong>, 563–578 (2014).</p> </blockquote> <blockquote> <p>Taylor, K. E., Stouffer, R. J. & Meehl, G. A. An Overview of CMIP5 and the Experiment Design. <em>Bull. Amer. Meteor. Soc.</em> <strong>93</strong>, 485–498 (2012).</p> </blockquote> <blockquote> <p>Hurtt, G. C. <em>et al.</em> Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. <em>Climatic Change</em> <strong>109</strong>, 117–161 (2011).</p> </blockquote>
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.