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.
2,031
datasets available to search
ShareScore release 0.9.0
Dataset results
2,031 results for “transformation”
Scalable Bayesian divergence time estimation with ratio transformations
Open the record for dataset details and reuse information.
Data from: Oncogenic transformation by inhibitor-sensitive and resistant EGFR mutants
Open the record for dataset details and reuse information.
Fourier transform ion cyclotron resonance (FT ICR) mass spectrometry data
Open the record for dataset details and reuse information.
Differential expression of olfactory genes in Atlantic salmon (Salmo salar) during the parr-smolt transformation
Open the record for dataset details and reuse information.
Data from: Nitrogen-transforming microorganisms potentially facilitate the invasion of Moso bamboo (Phyllostachys edulis) into evergreen broadleaf forests
Open the record for dataset details and reuse information.
Reflectance transformation imaging files of a selection of fossil arthropods (Carboniferous from Kaiping, China)
Open the record for dataset details and reuse information.
Data from: Enantioselective and regiodivergent skeletal transformations of 1,2,3-thiadiazoles to alkylidene dihydrothiophenes
Open the record for dataset details and reuse information.
Evolution of trust in the N-player trust game with transformation incentive mechanism
Open the record for dataset details and reuse information.
Data from: Animal-mediated organic matter transformation: aquatic insects as a source of microbially bioavailable organic nutrients and energy
Open the record for dataset details and reuse information.
Data from: Transformation from NHx to NOy deposition aggravated China’s forest soil acidification
Open the record for dataset details and reuse information.
Data from: Evolution transforms pushed waves into pulled waves
Open the record for dataset details and reuse information.
Soil net nitrogen transformation rates for Saddle Catchment, 2017
In Spring/Summer 2017, Youchao Chen conducted three in-field soil core incubations (24-30 days each) to determine soil net N mineralization and net nitrification rates. He determined net N rates across 6 plant community types within the Niwot Ridge LTER Saddle Catchment: dry meadow, moist meadow, wet meadow, shrub, krummholz, and subalpine forest. These data are reported with soil moisture and bulk density.
Supplementary Material for "Updating and Extending an UV/Vis Spectroscopy-Based Assay for Monitoring of Transformations Between Nucleosides and Nucleobases"
<p>This is the supplementary material for our publication "Updating and Extending an UV/Vis Spectroscopy-Based Assay for Monitoring of Transformations Between Nucleosides and Nucleobases".</p> <p> </p> <p><strong>For a detailed description of this material, please see the "Notes on the Supporting Material".</strong></p> <p> </p> <p>Naturally, this publication builds on previous work. The Python code used for spectral unmixing is available on this platform (10.5281/zenodo.3243376) and has been described in our previous publication (10.3390/mps2030060, 10.5281/zenodo.3333469). Applications of this methodology are described in our recent article in <em>Adv. Synth. Catal.</em> (10.1002/adsc.201901230) and its supporting material (10.5281/zenodo.3568858).</p> <p>I wish to thank all authors of this publication for their contribution, using the method and generously sharing your experience and your data with me. This helped us develop robust protocols, learn about the potential and limits of the method and ultimately made this update article possible. While I have been the primary user of the method, your applications, questions and problems have spurred us to think outside of the box and find solutions that helped us expand our repertoire of "unmixable" reactions. This Supplementary Information contains some of our shared data and I thank each of you for contributing to this work.</p> <p> </p>
Data from: The effect of heat treatments on the phase composition and diffraction patterns of goethite to α-Fe2O3/γ-Fe2O3 transformation
<p class="Body"><span>Recovered iron hydroxides from Electro-coagulated (EC) sludge collected from the textile wastewater treatment plant and heat treated forms of iron oxides on phase composition properties and phase identification were reported. EC sludges containing iron hydroxides were examined with heat treatment at a temperature of 100, 300, 500 and 800 <sup>0</sup>C. The raw and analyzed data of the x-ray diffraction examinations of the raw iron hydroxides containing EC sludge and transformed iron oxides were reported. X- ray <em><span>Diffraction </span></em>(XRD) analytical techniques were used for both raw EC sludge and transformed iron oxides, hematite, characteristic determination. Iron oxide (Hematite) diffraction pattern as comparative to International Central Diffraction Data (ICDD) from heat treated at high temperature EC sludge were evaluated and confirmed. Raw and analyzed data of XRD analysis for both recovered iron hydroxides and transformed iron oxides is uploded in the data repository as PDF and XPS viewer.</span></p>
Transformation from TASISpec to Lundium
<p>The transformation from TASISpec to Lundium is visualised in an animation. In the beginning of the animation, the full experimental hall <a href="https://www-win.gsi.de/tasca/facility/facility.html">TASCA</a> is shown. At the very right, an accelerated ion beam impinges on a target wheel and once a day or so, the beam and target nuclei fuse together creating a superheavy nucleus. Following this, the synthesised superheavy nucleus is transmitted through one dipole and two quadrupole magnets (red), the TASCA recoil separator, to the detection set-up on the very left of the image. In TASISpec and Lundium the superheavy nucleus is implanted in a Si-detector (mounted on green PCBs). In the silicon detectors (in total 5), α-particles, following the radioactive decays of the superheavy nuclei, are detected. Simultaneously, photons stemming from γ-ray deexcitations or X rays from highly converted transitions are detected in surrounding germanium detectors.</p> <p>To obtain the highest detection efficiency, the germanium detectors need to be placed as close as possible to the silicon detectors while at the same time covering as much of the solid angle as feasible. In TASISpec the composite germanium detectors have been accessible through European collaborations and were consequently not tailored for the application. In the Lundium upgrade, these germanium detectors will be replaced (as visualised in the animation) with a new type of detectors, denoted <em>Compex. </em>These are cubic shaped and offer the possibility for an incredibly compact and efficient decay station through operation in the same vacuum as the Si-detectors. As finally showed in the animation, the new Lundium vacuum chamber is to host all the silicon and germanium detectors.</p>
Data from: Species-habitat relationships and ecological correlates of butterfly abundance in a transformed tropical landscape
Tropical butterfly conservation strategies often focus on total and/or common species richness to assess the conservation value of a patch or habitat. However, such a strategy overlooks the unique dynamics of rare species. We evaluated the species-habitat relationships of 209 common, intermediate, and rare butterfly species (including morphospecies) across four habitat types (mature, degraded, or fragmented forest, and urban parks) and two patch sizes (<400 ha, ≥400 ha) in Singapore. Common species richness was consistent across habitat types. Intermediate species richness declined by more than 50 percent in urban parks (relative to all forest habitats), and rare species richness was reduced by 50 percent in degraded and fragmented forest and by 90 percent in urban parks (relative to mature forest). Large patches had comparable overall richness to small patches, but they supported more rare species and three times as many habitat-restricted species over a similar area. Importantly, a number of rare species were confined to single small patches. Mixed-effects regression models were constructed to identify habitat and ecological/life history variables associated with butterfly abundance. These models revealed that species with greater habitat specialization, rare larval host plants, few larval host plant genera, and narrow global geographic ranges were more likely to be rare species. Overall, these results demonstrate that the richness of habitat-restricted and rare species do not follow the same spatial distribution patterns as common species. Therefore, while conserving mature forests is key, effective butterfly conservation in a transformed landscape should take into account rare and habitat-restricted species.
Entorhinal-retrosplenial circuits for allocentric-egocentric transformation of boundary coding
<p>Spatial navigation requires landmark coding from two perspectives, relying on viewpoint-invariant and self-referenced representations. The brain encodes information within each reference frame, but their interactions and functional dependency remains unclear. Here we investigate the relationship between neurons in rat retrosplenial cortex (RSC) and entorhinal cortex (MEC) that increase firing near boundaries of space. Border cells in RSC specifically encode walls, but not objects, and are sensitive to the animal's direction to nearby borders. These egocentric representations are generated independent of visual or whisker sensation, but depend on inputs from MEC that contains allocentric spatial cells. Pharmaco- and optogenetic inhibition of MEC cells led to a disruption of border coding in RSC, but not vice versa, indicating allocentric-to-egocentric transformation. Finally, RSC border cells fire prospective to the animal's next motion, unlike those in MEC, revealing the MEC-RSC pathway as an extended border coding circuit that implements coordinate transformation to guide navigation behavior.</p>
A Transformative Edge: How Transformative Learning Can Benefit Open Science
<p>In this episode we talk to Ursel Biester and Marylin Mehlmann, two experts in adult education, about what Transformative Learning is and how it can be applied to creating meaningful change in the context of trainings, including those in the Open Science and RRI movement. </p> <p><strong>Episode Links</strong></p> <p><a href="http://www.hostingtransformation.eu/a-transformative-edge/">The Transformative Edge Book</a></p> <p><a href="http://www.hostingtransformation.eu/about/">Hosting Transformation Project</a></p>
Numerical model code, input files and output data for publication ``Mixing and Transformation in a Deep Western Boundary Current: a case study''
<p>Contains numerical model data (code, input files, selected output) to supplement publication ``Mixing and Transformation in a Deep Western Boundary current'', by Spingys and co-authors. All umerical model data, including any errors, is the responsibility of Sonya Legg. This data set will allow reproduction of simulations used in the above-referenced paper.</p>
Investigating Transformers as Context-aware Word Search Engines - Data and Code
<p>This is the review version, please use the published record: </p> <p> https://zenodo.org/record/6425595</p> <p> </p> <p>Data and code for the paper 'Investigating Transformers as Context-aware Word Search Engines' as submitted for review at ACL21. </p> <p> </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.