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6,025 results for “Science of science”
Figure 6 from: Vohland K, Häuser C, Regan E, Hoffmann A, Wetzel F (2016) 2nd EU BON Stakeholder Roundtable (Berlin, Germany): How can a European biodiversity network support citizen science? Research Ideas and Outcomes 2: e8616. https://doi.org/10.3897/rio.2.e8616
Figure 6 - Participants at the 2nd EU BON Stakeholder Roundtable (credits: Carola Radtke, MfN)
Figure 5 from: Vohland K, Häuser C, Regan E, Hoffmann A, Wetzel F (2016) 2nd EU BON Stakeholder Roundtable (Berlin, Germany): How can a European biodiversity network support citizen science? Research Ideas and Outcomes 2: e8616. https://doi.org/10.3897/rio.2.e8616
Figure 5 - Key success factors for citizen science projects (Nils Valland, NBIC, 2014).
Figure 2 from: Vohland K, Häuser C, Regan E, Hoffmann A, Wetzel F (2016) 2nd EU BON Stakeholder Roundtable (Berlin, Germany): How can a European biodiversity network support citizen science? Research Ideas and Outcomes 2: e8616. https://doi.org/10.3897/rio.2.e8616
Figure 2 - Setting the scene for the roundtable on Citizen Science (credits: Carola Radtke).
RAFT synthetic tropical cyclones dataset for Balaguru et al. 2022 - Science Advances
<p>This is the RAFT synthetic tropical cyclone (TC) dataset generated for the paper "Increased US coastal hurricane risk under climate change" submitted to the journal Science Advances in 2022.<br> Each file contains 50,000 synthetic TCs from RAFT either for the historical period (1980-2014) or the future period (2066-2100) under “SSP585”, and from a CMIP6 global climate model.<br> intensity_model_output_corrVMPI_11vars_alltcs_cutoff15_CMIP6_{PERIOD} _{MODEL}.mat<br> To read a .mat file in Python, one can use “scipy.io.loadmat”.<br> There are several variables included in each file, and all have the same dimension [number of storms, number of timesteps]. Here are a list of variable names and what they represent:<br> ‘lat’: Storm latitude;<br> ‘lon’: Storm longitude;<br> ‘year’: year;<br> ‘jday_syn’: Julian day in the year;<br> ‘vs0_syn’: maximum surface wind (knot).<br> Please note that this version of synthetic TC dataset is only intended for assessing the large-scale change of hurricane risk under climate change (through statistical-dynamical downscaling of CMIP6 GCMs), which is addressed in the above mentioned paper. Due to the model biases in CMIP6 and the low temporal resolution (monthly) used for RAFT inputs, the synthetic TCs' life-time maximum intensity is underestimated. Therefore, the synthetic TCs here should not be treated directly as "example TCs of current or future climate" without bias correction on the TC intensity. The authors plan to release a separate version of RAFT simulated synthetic TCs with proper bias correction for localized TC impact assessment. Please email authors if you have questions.</p>
The Citizen Science White Paper survey dataset, 2020
<p>Data supporting the paper: Citizen science’s transformative impact on science, citizen empowerment and socio-political processes. Socio-Ecological Practice Research</p>
Gutenberg Fiction: Science Fiction 1900-1999 selection
<p>Subset of narrative fiction from Project Gutenberg: English-language Science Fiction, 1900-1999. </p> <p>The selection criteria were as follows:</p> <ul> <li>written in English</li> <li>published between 1900 and 1999</li> <li>has "Science Fiction" in the subject field</li> <li>does not have "Juvenile" in the subject field</li> <li>has at least 10 downloads from Gutenberg</li> </ul>
Data for: Novel Quantitative Methods to Enable Multispectral Identification of High-Purity Water Ice Exposures on Mars from High Resolution Imaging Science Experiment (HiRISE) Images
<p>This repository contains all the HiRISE UNFILTERED products used in the paper by Rangarajan et al. (2023) titled "Novel quantitative methods to enable multispectral identification of high-purity water ice exposures using High Resolution Imaging Science Experiment (HiRISE) images" published in Icarus. </p>
New data from Dai et al., Prolonged deep-ocean carbonate chemistry recovery after the Paleocene-Eocene Thermal Maximum, Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2023.118353
<p>New trace element and carbon isotope data from Dai et al., Prolonged deep-ocean carbonate chemistry recovery after the Paleocene-Eocene Thermal Maximum, Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2023.118353</p>
New trace element and carbon isotope data from Dai et al., Prolonged deep-ocean carbonate chemistry recovery after the Paleocene-Eocene Thermal Maximum, Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2023.118353
<p>New trace element and carbon isotope data from Dai et al., Prolonged deep-ocean carbonate chemistry recovery after the Paleocene-Eocene Thermal Maximum, Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2023.118353</p>
Datasets for Reassessing the Intrinsic Hydrogen Evolution Reaction Activity of Platinum using Scanning Electrochemical Cell Microscopy published in Cell Reports Physical Science.
<p>Data set for the publication '' Reassessing the Intrinsic Hydrogen Evolution Reaction Activity of Platinum using Scanning Electrochemical Cell Microscopy'' published in Cell Reports Physical Science.</p>
Diabetes Virtual Trek: Obesity and Diabetes Prevention Through Science Enrichment
ClinicalTrials.gov study NCT00542113. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Vaccine Observation to Include All Communities for Equitable Science
ClinicalTrials.gov study NCT04770649. IPD Sharing: NO. Countries: 1. Publications: 0.
Socializing a Science-Based Digital Therapeutic for Substance Use Disorders
ClinicalTrials.gov study NCT05648786. IPD Sharing: NO. Countries: 1. Publications: 0.
Integrated Basic Science Within the Instructional Design of Pattern Recognition Training
ClinicalTrials.gov study NCT05087485. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Application of Chinese Herbal Complementary and Alternative Medicine (CAM) to Improve Human Health and to Further Botanical and Horticultural Sciences
ClinicalTrials.gov study NCT04650256. IPD Sharing: NO. Countries: 1. Publications: 0.
Advanced Materials Science in XLIF Study
ClinicalTrials.gov study NCT03649490. IPD Sharing: NO. Countries: 1. Publications: 0.
National Translational Science Network of Precision-based Immunotherapy for Primary Liver Cancer
ClinicalTrials.gov study NCT04145141. IPD Sharing: YES. Countries: 1. Publications: 0.
Art and Science of Human Flourishing Microsupport Study
ClinicalTrials.gov study NCT06630897. IPD Sharing: NO. Countries: 1. Publications: 0.
Experimental Research Center of China Academy of Chinese Medical Sciences
ClinicalTrials.gov study NCT03459950. IPD Sharing: NO. Countries: 1. Publications: 0.
Youth Substance Use Prevention/Reduction Through Science-based Drug Abuse Education
ClinicalTrials.gov study NCT00612482. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
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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.