Skip to main content
Powered by ShareScore

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.

85

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

85 results for “Resource Modelling”

Learn how ShareScore rates datasets ↗
zenodo20/100

Temperature-dependence and genetic variation in resource acquisition strategies in a model freshwater plant

Open the record for dataset details and reuse information.

opencc-by-4.0Nov 2023View details →
ClinicalTrials.gov20/100

Pilot Psychoeducational Intervention Model to Improve Nutritional Status in Low Resource Settings

ClinicalTrials.gov study NCT02258802. IPD Sharing: NO. Countries: 0. Publications: 0.

closedIPD-NOFeb 2026View details →
zenodo16/100

Dataset for Water Resource / Forest Restoration Modeling in Tahoe-Central Sierra Region

<p>This dataset includes materials related to a water resource modeling project in the Tahoe-Central Sierra Initiative (TCSI) region. The project used the DHSVM and LANDIS-II models to predict the potential hydrological impacts of various forest management scenarios related to partial or full restoration of the historic forest disturbance return interval.</p> <p>This dataset includes:</p> <ol> <li>Folders for each figure in the submitted manuscript, including data and scripts needed to reproduce the figures.</li> <li>Model results, including CSV files of raw streamflow outputs from DHSVM, a combined CSV file of mass/energy balance outputs from DHSVM, and geoTIFF rasters of various snowpack states from DHSVM. Additionally, post-processed data are included, such as aggregated streamflow products and comparisons between management scenarios.</li> <li>Ancillary data related to the model setup, calibration, and scenario implementation, including meteorology, configuration files, watershed boundaries, output vegetation maps from LANDIS-II used as inputs to DHSVM, and calibration reference data.</li> </ol>

openOct 2024View details →
zenodo12/100

Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model

<p>Dataset from&nbsp;Barello S, Caruso R, Palamenghi L, Nania T, Dellafiore F, Bonetti L, Silenzi A, Marotta C, Graffigna G. Factors associated with emotional exhaustion in healthcare professionals involved in the COVID-19 pandemic: an application of the job demands-resources model. Int Arch Occup Environ Health. 2021 Nov;94(8):1751-1761. doi: 10.1007/s00420-021-01669-z. Epub 2021 Mar 3. PMID: 33660030; PMCID: PMC7928172.</p> <p>Abstract</p> <p><strong>Purpose:&nbsp;</strong>The purpose of the present cross-sectional study is to investigate the role of perceived COVID-19-related organizational demands and threats in predicting emotional exhaustion, and the role of organizational support in reducing the negative influence of perceived COVID-19 work-related stressors on burnout. Moreover, the present study aims to add to the understanding of the role of personal resources in the Job Demands-Resources model (JD-R) by examining whether personal resources-such as the professionals&#39; orientation towards patient engagement-may also strengthen the impact of job resources and mitigate the impact of job demands.</p> <p><strong>Methods:&nbsp;</strong>This cross-sectional study involved 532 healthcare professionals working during the COVID-19 pandemic in Italy. It adopted the Job-Demands-Resource Model to study the determinants of professional&#39;s burnout. An integrative model describing how increasing job demands experienced by this specific population are related to burnout and in particular to emotional exhaustion symptoms was developed.</p> <p><strong>Results:&nbsp;</strong>The results of the logistic regression models provided strong support for the proposed model, as both Job Demands and Resources are significant predictors (OR = 2.359 and 0.563 respectively, with p &lt; 0.001). Moreover, healthcare professionals&#39; orientation towards patient engagement appears as a significant moderator of this relationship, as it reduces Demands&#39; effect (OR = 1.188) and increases Resources&#39; effect (OR = 0.501).</p> <p><strong>Conclusions:&nbsp;</strong>These findings integrate previous findings on the JD-R Model and suggest the relevance of personal resources and of relational factors in affecting professionals&#39; experience of burnout.</p>

restrictedJan 2022View details →
zenodo12/100

Data and generating files for the manuscript "A Multi-Model Analysis of Solute Plume Behavior in a Synthetic Braided-River Deposit", submitted to Water Resources Research, August 2018.

<p>Data and generating files for the manuscript &quot;A Multi-Model Analysis of Solute Plume Behavior in a Synthetic Braided-River Deposit&quot;, submitted to Water Resources Research, August 2018.</p> <p>This zipped folder contains the codes and data generated for the manuscript. The main routine for generating the ensembles is fidelity/run_fidelity.py. The folders &#39;dtgeostats&#39;, &#39;flowtrans&#39;, and &#39;hyvr&#39; contain utilities for generating parameter fields and running flow-and-transport simulations. Note that the codes and data are provided as-is and relative pathways, etc. in the code may not function correctly. The data can be found in the fidelity/runfiles/braid005 directory and includes the outputs for the synthetic virtual reality (fidelity/runfiles/braid005/braid_vr) and the following model ensembles: object-based with no conditioning (fidelity/runfiles/braid005/braid_1a), object-based with soft conditioning (fidelity/runfiles/braid005/braid_1b), MPS&nbsp; (fidelity/runfiles/braid005/braid_2a/), isotropic multi-Gaussian (fidelity/runfiles/braid005/braid_3/isn/), and anisotropic multi-Gaussian (fidelity/runfiles/braid005/braid_3/ann/) .</p>

restrictedAug 2018View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.