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.
6,782
datasets available to search
ShareScore release 0.9.0
Dataset results
6,782 results for “project”
Improvement of Insulin self-injection accuracy in patients with diabetes mellitus by a nursing project
<p>Supplementary material of manuscript <strong>Improvement of Insulin self-injection accuracy in patients with diabetes mellitus by a nursing project</strong></p>
Dataset for "Linking water markets with payments for watershed services: the eastern route of China's South-North Water Transfer Project".
<p>This dataset is the program for the article "Linking water markets with payments for watershed services: the eastern route of China's South-North Water Transfer Project".</p>
PRECINCT Project Video
<p>A video that briefly describes the PRECINCT Project</p>
Universities of Applied Sciences' EU research project participation through the lens of differentiation (dataset)
<p>Dataset of the publication "Universities of Applied Sciences’ EU research project participation through the lens of differentiation" (DOI: <a href="https://doi.org/10.1093/scipol/scad048">10.1093/scipol/scad048</a>)</p>
SENG 480B - Final Project
<p>SENG 480B final project files described in 'Appendix A' section of final report.</p>
Data for the project: Climatic impacts on the availability and transfer of chemical elements through Arctic terrestrial food-chains: a pilot study
<p>Uploaded data contain trace element concentrations measured in various biological samples collected at Zackenberg Research station (northeast Greenland) in August 2021</p> <p>Fifty (50) sample plots were visited to collect invertebrates (using pitfalls) and sample soil, vegetation, muskox feces and wool.</p> <p>The sheet PlotInfo provides information on the sample plots, which were placed using a stratified random placement procedure across 5 vegetation types and the elevational gradient</p> <p>The sheet Soil contains trace element concentrations (ppm) as well as N and C (%) measured in the soil samples across all 50 sample plots</p> <p>The sheet Vegetation contains trace element concentrations (ppm) as well as N and C (%) measured in the vegetation samples across all 50 sample plots</p> <p>The sheet Insects contains trace element concentrations (ppm) measured in the various insect groups captured in pitfall traps in 9 sample plots</p> <p>The sheet Muskox feces contains trace element concentrations (ppm) measured in the feces samples collected at all 50 sample plots</p> <p>The sheet Muskox Wool contains trace element concentrations (ppm) measured in 25 wool samples collected throughout the sampling area (not at specific sample plots).</p> <p> </p> <p>Trace element concentrations were measured at the ICP-MS platform at the Observatoirie Midi-Pyrenees, Toulouse, France</p> <p>N and C analyses were done at Department of Biology, University of Copenhagen, Denmark</p> <p> </p> <p>For further information on the project, samples, methods used contact flbe@ecos.au.dk</p>
Photographs of borehole cores from project STIMTEC and STIMTEC-X
<p>Photographs of the cores of the various boreholes drilled in Reiche Zeche (Freiberg, Germany) during the projects STIMTEC and STIMTEC-X</p>
InTheMED WP3 Data Archive - Climate Projections in the Case Studies -
<p>The data archive InTheMED_WP3_DS_ClimateData is part of Task 3.3 “Downscaling of future climate projections at the case-study scale and their transfer to the Partners” and contains the climate projections at the five pilot sites under two emission scenarios (RCP4.5 and RCP8.5).</p>
CFW Sergio, D. Z. Project
<p>Monitoring data project, Water quality, rainfall, solar radiation, temperature, macrophyte grow.</p> <p>01/10/2022 to 30/04/2023.</p>
Dataset for PT-OCT ANN Project
<p>This dataset contains files for training and validation of the ANN in PT-OCT</p>
Fig. 3. Newman projections for C-2 in Trikoveramides A-C, cyclic depsipeptides from the marine cyanobacterium Symploca hydnoides
Fig. 3. Newman projections for C-2/C-3 of the Hmoya unit in trikoveramide A (1). Labels below projections denote predicted size of the 3J(C, H-3) and 2J(C-3,H- Me9 2) coupling constants. Predicted values highlighted by a box are consistent with observed coupling constant values. Double-headed arrows indicate NOE correlations.
Hesperomys Project v23.8.0
<p>An export of data from the <a href="https://hesperomys.com">Hesperomys Project</a> version 23.8.0. The Hesperomys Project is a database of taxonomy and nomenclature, focused on mammals but also covering some other groups, principally other fossil tetrapods. The database contains information such as:</p> <ul> <li>Taxonomic classification for all mammals, living and extinct</li> <li>References to original citations for the vast majority of names</li> <li>Type specimens and type localities for numerous names</li> </ul> <p>The full database is available online at hesperomys.com. This export contains:</p> <ul> <li>name.csv: Data on names, including taxonomic context, authority, citation, type locality, type specimen, and classification of the etymology.</li> <li>taxon.csv: Data on taxa, including classification and authority</li> <li>collection.csv: Data on collections that contain type specimens, including name, location, and number of type specimens in the database</li> </ul> <p>The code used to generate the exports is on <a href="https://github.com/JelleZijlstra/taxonomy/blob/9a68bec908264ddfcb1d623b4c427ebfb689396f/taxonomy/db/export.py">GitHub</a>.</p> <p>Release notes for version 23.8.0:</p> <ul> <li>Database <ul> <li>Add issue numbers to several hundred articles (mostly in <em>Annals and Magazine of Natural History</em> and <em>Proceedings of the Zoological Society of London</em>). Correct a few publication dates and issue numbers.</li> <li>Add original citations for all names described in the <em>Journal of the Bombay Natural History Society</em>.</li> <li>Add a few dozen missing type localities for synonyms of extant mammal species.</li> <li>Add numerous additional type specimens for extant mammals, based mostly on online collection databases.</li> <li>Add thousands of links to type specimen catalog entries, mostly in <a href="http://localhost:8080/c/BMNH_(mammals)">BMNH</a>, <a href="http://localhost:8080/c/MNHN_(ZM)">MNHN</a>, and <a href="http://localhost:8080/c/MCZ_(Mammalogy)">MCZ</a>.</li> <li>Numerous new taxonomic changes and newly examined old literature.</li> </ul> </li> <li>Backend <ul> <li>Add capability to mark the former repository of a type specimen (see e.g. <a href="http://localhost:8080/c/FMSM">FMSM</a>).</li> <li>Enforce a consistent format for the type specimen field.</li> <li>Add the capability to enforce a more precise format for individual collections.</li> <li>Enforce that names have only one value for e.g. the "age" tag for type specimens.</li> <li>Use the "IssueDate" mechanism to infer what issue papers were published in.</li> </ul> </li> <li>Frontend <ul> <li>Add new page listing the newest additions to the database (e.g., <a href="http://localhost:8080/new/n">new names</a>).</li> </ul> </li> </ul>
EU-Level Crowdsourced Survey Data on Biomass Communities – BECoop project
<p><strong><em>Activity Description:</em></strong></p> <p>In this initiative, an English survey was strategically linked to a crowdsourcing campaign with the goal of garnering 5,000 responses from a diverse range of stakeholders and the general public across the European Union (EU).</p> <p> </p> <p><strong><em>Purpose of the Survey:</em></strong></p> <p>A comprehensive questionnaire was developed with the primary aim of identifying the perceptions, needs, barriers, and misconceptions affecting the market adoption of community bioenergy at the EU level. The survey sought to gain a nuanced understanding of stakeholders' and the general public's perspectives, ultimately contributing to informed decision-making and policy formulation in this vital domain.</p> <p>Leveraging platforms such as Clickworker, this approach facilitated the engagement of an independent global workforce to address defined tasks, offering swift access to data from a broad spectrum of participants encompassing various demographics, backgrounds, and interests.</p> <p>The data collection phase was executed between mid-April and June 2021, spanned across multiple waves. This approach was aimed at meticulously monitoring responses and ensuring the integrity and quality of the collected data.</p> <p> </p> <p>This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.</p>
CROSMOD project "Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco" supported by ESA and AUC in the framework of EO AFRICA R&D Facility
<p>The CROSMOD project “Crop Stress Monitoring in the semi-arid context of Doukkala, Morocco” supported by ESA and AUC in the framework of EO AFRICA R&D Facility, aimed at developing a procedure for crop yield estimates and extreme events crops shocks monitoring or pest and diseases by integrating multiple satellite data and water-energy-crop modelling, able to support farmers precision agriculture for the case of the Doukkala Irrigation area in Morocco. <strong>The project was run by: Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy); and Fatima-ezzahra Elghandour and Youssef Houali from Chouaib Doukkali University (Morocco).</strong></p> <p>The dataset report the results from the three case studies, which are cultivated fields with alfalfa, sugar beet and wheat in Morocco (LE, H, net radiation, land surface temperature, ET, potential irrigation, LAI, soil moisture) generated from FEST-EWB-SAFY model.</p> <p>The crop-energy-water balance FEST-EWB-SAFY model (Corbari et al., 2022) couples the distributed energy-water balance FEST-EWB (Corbari et al, 2011), which allows computing continuously in time and distributed in space both soil moisture and evapotranspiration fluxes, and the SAFY (Duchemin et al, 2008), simple model for yield prediction and plant development. FEST-EWB is based on the system of energy-water balances equations which are written in terms of a LST that allows closing the energy balance equation, so that this model internal variable can be directly compared with EO LST for model parameters calibration (Corbari & Mancini, 2014). The crop growth simple model (SAFY) (Duchemin et al, 2008) simulate yield and LAI prediction based on light-use efficiency theory with leaf partitioning function.</p> <p><strong>The code was developed by Chiara Corbari and Nicola Paciolla from Politecnico di Milano (Italy).</strong></p> <p>[1] Corbari, C., Ravazzani, G. and Mancini, M. (2011), A distributed thermodynamic model for energy and mass balance computation: FEST–EWB. Hydrol. Process., 25: 1443-1452. <a href="https://doi.org/10.1002/hyp.7910">https://doi.org/10.1002/hyp.7910</a></p> <p>[2] Corbari, C., Ben Charfi, I., Al Bitar, A., Skokovic, D., Sobrino, J.A., Perelli, C., Branca, G., Mancini, M. (2022), A fully coupled crop-water-energy balance model based on satellite data for maize and tomato crops yield estimates: The FEST-EWB-SAFY model, Agr. Wat. Man., 272: 107850. <a href="https://doi.org/10.1016/j.agwat.2022.107850%5Cn">https://doi.org/10.1016/j.agwat.2022.107850\n</a></p> <p>[3] Corbari, C., Mancini, M., 2014. Calibration and validation of a distributed energy water balance model using satellite data of land surface temperature and ground discharge measurements. J. Hydrometeorol. 15, 376–392. <a href="https://doi.org/10.1175/JHM-D-12-0173.1">https://doi.org/10.1175/JHM-D-12-0173.1</a></p> <p>[4] Duchemin, B., Maisongrande, P., Boulet, G., Benhadj, I., 2008. A simple algorithm for yield estimates: Evaluation for semi-arid irrigated winter wheat monitored with green leaf area index. Environ. Modell. Softw. 23(7), 876-892. <a href="https://doi.org/10.1016/j.envsoft.2007.10.003">https://doi.org/10.1016/j.envsoft.2007.10.003</a></p>
Breast cancer IITH project
<p>The dataset was curated for investigating imaging intratumor heterogeneity (IITH). In this setting, radiomics features from baseline dynamic contrast-enhanced MRI (DCE-MRI) of 711 breast cancer patients were extracted and clinical data was provided.</p>
Dataset for the project "Propagation of Subduction Initiation"
<p>The required code and data for the project "Propagation of Subduction Initiation "</p> <p>The open-source code Ellipsis3d is also available at https://geodynamics.org/resources/ellipsis3d</p> <p>Plate reconstruction models are also available at doi:10.1002/ 2016JB012923 and https://www.earthbyte.org/</p> <p> </p>
MULTIPLIERS project: Making school science relevant to real-world challenges
<p>MULTIPLIERS promotes Open Schooling across Europe, a new way to learn that makes science more meaningful and directly relevant to everyday life & real-world challenges.</p> <p>Find out more at: https://multipliers-project.org/</p> <p>Follow MULTIPLIERS on Twitter: https://twitter.com/MULTIPLIERS_</p> <p>Follow MULTIPLIERS on Instagram: https://www.instagram.com/multipliers_project/</p> <p>This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101006255.</p>
Associated results of Phase 1 of the Urban-PLUMBER model evaluation project
<p><strong>Archive of: https://urban-plumber.github.io/AU-Preston/plots/</strong></p> <p>Files in this folder are associated with the manuscript:</p> <blockquote> <p>“Evaluation of 30 urban land surface models in the Urban-PLUMBER project: Phase 1 results”</p> </blockquote> <p>Files are an archive of the website https://urban-plumber.github.io/AU-Preston/plots/ as of 2nd December 2022.</p> <p>Use of any data must give credit through citation of the above manuscript, the data repository, and other site references as appropriate. </p> <p>Corresponding author: Mathew Lipson (mathew.lipson@bom.gov.au)</p> <p><strong>Usage</strong></p> <p>Load the "index.html" to navigate through plots and results subpages</p> <p><strong>Description</strong></p> <p>These files include results from Phase 1 of the Urban-PLUMBER model evaluation project for urban areas. </p> <p>Data includes:</p> <p> - individual model results (error metrics) and submission metadata <br> - individual model plots (timeseries, subsets, energy closure, distributions)<br> - collective timeseries for every submitted output in the baseline experiment<br> - collective timeseries for every submitted output in the detailed experiment<br> - supplementary material for the manuscript<br> - variable definitions</p> <p><strong>Authors</strong></p> <p>Mathew Lipson, Sue Grimmond, Martin Best, Gab Abramowitz, Andrew Coutts, Nigel Tapper, <br> Jong-Jin Baik, Meiring Beyers, Lewis Blunn, Souhail Boussetta, Elie Bou-Zeid, <br> Martin G. De Kauwe, Cécile de Munck, Matthias Demuzere, Simone Fatichi, <br> Krzysztof Fortuniak, Beom-Soon Han, Maggie Hendry, Yukihiro Kikegawa, Hiroaki Kondo, <br> Doo-Il Lee, Sang-Hyun Lee, Aude Lemonsu, Tiago Machado, Gabriele Manoli, Alberto Martilli, <br> Valéry Masson, Joe McNorton, Naika Meili, David Meyer, Kerry A. Nice, Keith W. Oleson, <br> Seung-Bu Park32, Michael Roth33, Robert Schoetter34, Andres Simon35, Gert-Jan Steeneveld, <br> Ting Sun, Yuya Takane, Marcus Thatcher, Aristofanis Tsiringakis, Mikhail Varentsov, <br> Chenghao Wang, Zhi-Hua Wang</p>
STEP UP project: the Weierbach dataset 2019-2020
<p>Understanding the interaction between topography and vegetation across different environments is important to assess how hydrological and climatic conditions affect tree physiological activity. This becomes especially important given the expected reduction in water availability and increase in water demand driven by climate change. These extremes could enhance the thermal and hydrologic gradients along slopes. Multiple studies that investigated the effect of water limitations on forest vulnerability have neglected landscape heterogeneity at fine spatial resolutions, even though soil properties and topography are important abiotic factors for forest health (<a href="https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.15274">Schwantes et al., 2018</a>).</p> <p>STEP-UP (Space-time patterns of tree water uptake at hillslopes with contrasting climate and geology) project aimed to investigate the spatio-temporal dynamics of water sources for beech trees (<em>Fagus sylvatica </em>L.). This species is abundant in many temperate European forest ecosystems, which could be strongly impacted by the predicted intensification of dry and wet spells (IPCC, 2023). The aim of the project is to get a better understanding of how climate, geology, and topography shape beech tree water uptake patterns along the catena by using a combination of hydro-meteorological observations, sap velocity measurements, and δ2H and δ18O measurements sampled in groundwater, soil water, and xylem water.</p> <p>For this purpose, we conducted a comparative study on a gentle (10 degrees) hillslope in the Weierbach catchment in Luxembourg (oceanic climate) (see <a href="https://onlinelibrary.wiley.com/doi/full/10.1002/eco.2382">Fabiani et al., 2022)</a> and a steep (30 degrees) hillslope in the Lecciona catchment in Italy (Mediterranean climate).</p> <p>In this dataset, we present the data collected over 2019 and 2020 in the Weierbach catchment only. This dataset encompasses the following files:</p> <p>- conceptual figure named “Conceptual_figure_Weierbach_Lecciona”</p> <p>- daily sap velocity from three beech trees named “Weierbach_sapvelocity_2019-2020”</p> <p>- isotopic database (d<sup>18</sup>O and d<sup>2</sup>H) of xylem water, soil, groundwater, stream and precipitation named "Weierbach_isotopes_dataset_2019-2020"</p> <p>Sapflow sensors installation, maintenance and data cleaning were performed by Ginevra Fabiani and Remy Schoppach in the framework of EFFECT and STEP UP projects (AFR/STEP-UP ID 12546983 and FNR/CORE/C17/SR/11702136/EFFECT). Xylem, soil and water samples were collected, treated and analyzed by Ginevra Fabiani. Soil samples of 2020 were analyzed by Adnan Moussa. Julian Klaus, Daniele Penna and Laurent Pfister were responsible for founding acquisition and project management.</p>
code and data for NCBA_BosT1.0 project
<p>This data represent all the code and data used to generate the figures in the NCBA_BosT1.0 project</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.