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.
2,225
datasets available to search
ShareScore release 0.9.0
Dataset results
2,225 results for “reversal”
FIGURE 5 in Re-description of Orchestia stephenseni Cecchini, 1928: designation of neotype and senior synonym to Orchestia constricta A. Costa, 1853 (Crustacea: Amphipoda: Talitridae) by Reversal of Precedence
FIGURE 5. Linear regression between body length and number of antenna 2 flagellar articles for each Morphotype.
FIGURE 4 in Re-description of Orchestia stephenseni Cecchini, 1928: designation of neotype and senior synonym to Orchestia constricta A. Costa, 1853 (Crustacea: Amphipoda: Talitridae) by Reversal of Precedence
FIGURE 4. Frequency of Morphotypes along body-length (the length has been rounded to the nearest integer).
FIGURE 1 in Re-description of Orchestia stephenseni Cecchini, 1928: designation of neotype and senior synonym to Orchestia constricta A. Costa, 1853 (Crustacea: Amphipoda: Talitridae) by Reversal of Precedence
FIGURE 1. Sample site: banquette of Posidonia oceanica (L.) Delile, at the Stagnone of Marsala (western Sicily, southern Italy, central Mediterranean Sea).
FIGURE 3. Orchestia stephenseni Cecchini, 1928 in Re-description of Orchestia stephenseni Cecchini, 1928: designation of neotype and senior synonym to Orchestia constricta A. Costa, 1853 (Crustacea: Amphipoda: Talitridae) by Reversal of Precedence
FIGURE 3. Orchestia stephenseni Cecchini, 1928. Example of Bifid setae on peraeopods (see text). SEM (Scanning Electron Microscope) photograph.
Dataset for: Heat wave-induced microbial thermal trait adaptation and its reversal in the Subarctic
<p>Climate change predictions suggest that arctic and subarctic ecosystems will be particularly affected by rising temperatures and extreme weather events, including severe heat waves. Temperature is one of the most important environmental factors controlling and regulating microbial decomposition in soils; therefore, it is critical to understand its impact on soil microorganisms and their feedback to climate warming. We conducted a warming experiment in a subarctic birch forest in North Sweden to test the effects of summer heat waves on the thermal trait distributions that define the temperature dependencies for microbial growth and respiration. We also determined the microbial temperature dependences 10 and 12 months after the heat wave simulation had ended to investigate the persistence of the thermal trait shifts. As a result of warming, the bacterial growth temperature dependence shifted to become warm-adapted, with a similar trend for fungal growth. For respiration, there was no shift in the temperature dependence. The shifts in thermal traits were not accompanied by changes in α- or β-diversity of the microbial community. Warming increased the fungal-to-bacterial growth ratio by 33% and decreased the microbial carbon use efficiency (CUE) by 35%, and both these effects were caused by the reduction in moisture the warming treatments caused, while there was no evidence that substrate depletion had altered microbial processes. The warm-shifted bacterial thermal traits were partially restored within one winter but only fully recovered to match ambient conditions after one year. To conclude, summer heat waves in the Subarctic resulted in (i) shifts in microbial thermal trait distributions; (ii) lower microbial process rates caused by decreased moisture, not substrate depletion; and (iii) no detectable link between the microbial thermal trait shifts and community composition changes. </p>
Hormone profiles of the African pygmy mouse Mus minutoides, a species with XY female sex reversal.
Open the record for dataset details and reuse information.
FIGURE. 1. Cancer lactatus Linnaeus, 1758 in Identification of Cancer lactatus Linnaeus, 1758 with Lophozozymus pictor (Fabricius, 1798) and reversal of precedence (Crustacea: Decapoda: Brachyura: Xanthidae)
FIGURE. 1. Cancer lactatus Linnaeus, 1758, syntype (Linnaeus Collection UUZM no. 244): A, whole specimen in cardboard storage box; B, dorsal aspect of carapace; C, frontal view; D, dorsal aspect of right P5, dactylus missing. Photographs by S. H. Tan.
FIGURE 1. A in Cancer (Mantis) digitalis Herbst, 1793, an objective synonym of Oratosquillina quinquedentata (Brooks, 1886): neotype designation and reversal of precedence (Crustacea: Stomatopoda: Squillidae)
FIGURE 1. A, Cancer (Mantis) digitalis Herbst, 1793, holotype, East Indies, reproduced from Herbst, 1793, pl. 33, fig. 1. B, Oratosquillina quinquedentata (Brooks, 1886), female, total length 155 mm, northeast of Shelburne Bay, Queensland, Australia, colour faded in preservative (Australian Museum, P56920).
Date for Unveiling Pseudo-Inert Basal Plane for Electrocatalysis in 2D Semiconductors: Critical Role of Reversal-Activation Mechanism
<p>The dateset contains the crystal structures of monolayer CrP, CrAs, Cr2PAs and Cr2PSb, and the most stable adsorption configurations of NO, N2, O2 and CO on monolayer CrP, CrAs, Cr2PAs and Cr2PSb.</p>
T helper cells exhibit a dynamic and reversible 3'UTR landscape.
<p>This archive contains large files necessary to reproduce the related paper analysis.</p>
Demand-side flexibility enables cost savings in a Reversible pH-swing electrochemical process for Oceanic Co2 Removal
<p>Raw datasets and codes used in our manuscript of the same title. Figure numbers correspond with the figure numbers in the manuscript.</p> <p><strong>Figure 2: </strong>Process Overview(a) Steps of the proposed, reversible, oceanic CDR process, starting with acidification of the ocean water, followed by vacuum stripping of the CO2, basification of the oceanwater, and return to the ocean to equilibrate with the atmosphere. (b) Corresponding effects on pH and dissolved inorganic carbon (DIC) at each step in the oceanic CDR process. Oceanwater pH decreases from 8.1 during acidification to produce a shift in speciation from HCO3 todissolved CO2, which is phase-separated between step 2-3 to capture pure CO2 which decreases the DIC. Basification negates these changes through the addition of the same concentration of OH− ions as H+ ions added to ocean water during acidification, resulting in pH > 8.1 at the end of basification. CO2-starved ocean water will re-equilibrate with the atmosphere and get buffered back to a neutral-pH to re-enter acidification and the cycle continues.</p> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div><strong>Figure 3:</strong> Predicted Performance from 0-D Equivalent Circuit Modeling (Sec. Prediction of current-volatge behavior) for (a,c) acidification and (b,d) basification to determine (a,b) polarization behavior and (c,d) Faradaic efficiencies; including (c) power density produced during acidification.<br>Different mass-transfer conditions and therefore limiting currents are modeled by varying the liquid-side boundary layer thicknesses, (δl). Two different pH-shift conditions are modeled for the low and high pH values at the end of acidification and basification, that are respectively constrained by the concentration of H+ and OH− additions to be equal during both steps – (pHlow, pHhigh): (4,10.7) and (6,9) as described in Sec. S3. Baseline parameter values listed in Table S1 are used in the equivalent circuit models with consideration of desired and competing reactions. Note the differences in the current and potential ranges plotted between (a) acidification and (b) basification steps.</div> <div> </div> <div><strong>Figure 4: </strong>Energy Intensity Comparisons (a-c) Predictions for electrochemical energy intensity normalized by the amount of CO2 captured (Eq. (14)) in (GJ/tCO2 ) as a function of the current density when jbase = jacid (a) without and (b) with competing reactions modeled. Dashed lines on the plot indicates a baseline cell resistance of 2.18 Ω cm2 and the shaded areas are indica-tive of this ohmic resistance in the range of 0 - 5 Ω cm2; the shades of blue are indicative of theliquid-side boundary layer thicknesses, δl, modeled. Electrochemical energy intensities from (a)and (b) where δl = 50 μm are shown in (c), and compared with state-of-the-art ocean water CDRprocess intensities reported by Digdaya et al.,15 Kim et al.,23 and Yan et al.22 The gray filled areashows possible operational points with varying extents of competing reactions with the maximumbounded by competing reactions occurring at mass-transfer limited rates. (d) Overall energy inten-sity (GJ/tCO2 ) including electrochemical and parasitic loads (as described in Sec. Energy IntensityCalculations) for the proposed process without competing reactions, calculated at an industrially-relevant current density of 100 mAcm−2, the baseline cell resistance, and pH shift of 6 to 9.6,compared with electrochemical and thermally-driven direct air capture (DAC) processes with data obtained from Singh et al.;24 error bars for the thermal DAC processes are from Viebahn et al.</div> <div> </div> <div><strong>Figure 5: </strong>Operating Energy Profiles and Effects of Load Shifting (a) Integration of solar and wind electricity production in California, CAISO 2022-2023,40 with predicted energy demand for the proposed oceanic CO2 removal process as a function of varying extents of yearly CO2 captured, 0 – 16 MtCO2,year. (b) Hourly power demand to capture 1 tCO2 per day. The gray curve indicates the process shown in (a), while the red curves shows a constant power demand process occurring at an equivalent energy intensity, i.e., the area underneath both curves are the same. (c) Hourly cost to capture 1 tCO2 per day. The gray curve indicates the hourly cost associated with variable energy process shown in (b) if all produced electricity is sold at market value, while the red curve compares it to the hourly cost associated with constant power consumption process shown in (b). Operating conditions of the proposed, variable process shown in (a-c) include jacid = 75 mA cm−2 and jbase = 150 mA cm−2, while still constraining the same volume of ocean water being treated over a 24-hour day in the individual steps (i.e. tbase = 0.5tacid). The process switches between acidification (occurring early mornings and evenings/nights when electricity price is high) and basification (occurring mid-day when electricity price is low) based on the supply and the cost of electricity purchased from CAISO (Sec S8.5). (d) Electricity cost savings for the proposed process operation compared to a process with constant energy usage at different ratios of tbase to tacid, assuming a time-weighted average operating current density of 100 mA cm−2. Different line styles indicate different proportions of market value at which produced electricity can be sold (0%, 50%, and 100%). For all cases: competing reactions are not considered, a thin boundary layer is assumed (δl = 10 μm), and the pH shift is from 6 to 9.6. Parasitic energy costs are included for CO2 phase separation, but not for pumping as we assume co-location with a desalination plant. Parasitics are assumed to only operate during the basification process, at high enough power to remove all CO2 treated over the day.</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div>
Data for paper "Information flow between motor cortex and striatum reverses during skill learning"
<p>Simultaneous spiking activity and local field potential (LFP) recordings from motor cortex (M1) and dorsolateral striatum (DLS) during learning of a reach-to grasp task.<br>Deposited data include spiking activity and LFP recordings, reaching trajectories, andi single-trial success data for the 8 animals included in the paper "Information flow between motor cortex and striatum reverses during skill learning".</p>
Visualization of bipolar lightning discharge development revealing the reversal point dynamics
<p><span>This repository contains two video files corresponding to model realizations reported in the paper (for the cases of an upward and a downward positive leader) along with their textual description. </span></p>
Data from: Reversal learning and neophobia test results in Chimango Caracaras
<p>In this study, we analyzed the variation in cognitive flexibility in the Chimango Caracara (<em>Milvago chimango</em>), across areas with different levels of urbanization. To assess this, we utilized the reversal learning assay which measures the ability to adapt behavior in response to changes in environmental contingencies. We also investigated the impact of neophobia on this variation. All chimangos studied succeeded in acquiring a color-reward association and reverting this learned association when the contingencies changed. Urban chimangos were faster than their rural and suburban counterparts during the initial discrimination and reversal phases. The reversal phase proved to be the most challenging task. The analysis of the errors made during this phase revealed that acquiring a new association (i.e., regressive errors) was challenging for the individuals studied, in comparison to inhibiting a previously learned one (i.e., perseverative errors). Neophobia was found to be lower in urban individuals compared to suburban and rural raptors. Moreover, neophobia showed a correlation with regressive errors during the reversal phase among rural and suburban chimangos, while no such correlation was observed among city-dwelling chimangos. We suggest that neophobia acted as a regulating factor of cognitive flexibility, mainly for individuals expressing relatively high levels of this personality trait.</p>
Red rice bran polyphenols suppress invasive properties of HepG2 cells, possibly through Wnt/β-catenin-mediated EMT reversal.
<p>Data collection in its raw form is performed in a specific sequence dictated by the manuscript.</p>
SPX - reverse
<p>.</p>
FIGURE. Conlarium sichuanense (HKAS 113024, holotype) a–c Colonies on dead branches. d–k Conidiogenous cells and conidia. l Germinated conidium. m, n Colony on PDA from surface and reverse. Scale bars: d-k = 10 μm, l = 20 μm. in Conlarium sichuanense sp. nov., on Ficus virens from Sichuan Province, China
FIGURE. Conlarium sichuanense (HKAS 113024, holotype) a–c Colonies on dead branches. d–k Conidiogenous cells and conidia. l Germinated conidium. m, n Colony on PDA from surface and reverse. Scale bars: d-k = 10 μm, l = 20 μm.
Data from: Reintroducing extirpated herbivores could partially reverse the late Quaternary decline of large and grazing species
<p><strong>Aim: </strong>Reinstating large, native herbivores is an essential component of ecological restoration efforts, as these taxa can be important drivers of ecological processes. However, many herbivore species have gone globally or regionally extinct during the last 50,000 years, leaving simplified herbivore assemblages and trophically downgraded ecosystems. Here, we discuss to what extent trophic rewilding can undo these changes by reinstating native herbivores.</p> <p><strong>Location: </strong>Global</p> <p><strong>Time Period: </strong>We report functional trait changes from the Late Pleistocene to the present, and estimated trait changes under future scenarios.</p> <p><strong>Major Taxa Studied: </strong>Wild, large (≥10 kg), terrestrial, mammalian herbivores</p> <p><strong>Methods: </strong>We use a functional trait dataset containing all late Quaternary large herbivores ≥10 kg to look at changes in the body mass and diet composition of herbivore assemblages, a proxy for species' ecological effects. First, we assess how these traits have changed from the Late Pleistocene to the present. Next, we quantify how the current body mass and diet composition would change if all extant, wild herbivores were restored to their native ranges (and if no functional replacements were used), exploring scenarios with different baselines.</p> <p><strong>Results: </strong>Defaunation has primarily removed large and grazing herbivores. Reinstating extant herbivores across their native ranges would reverse these changes, especially when reinstating them to their prehistoric distributions. It would partially restore herbivore body mass and diet composition to pre-anthropogenic conditions. However, in the absence of complementary interventions (e.g. introducing functional replacements), many herbivore assemblages would remain down-sized and browser dominated, relative to pre-anthropogenic conditions.</p> <p><strong>Main Conclusions: </strong>Many terrestrial herbivore assemblages - and hence ecosystems - would remain trophically downgraded, even after bringing back all extant, native herbivores. Therefore, complementary interventions would be required to achieve complete functional restoration. Nevertheless, our findings suggest that reintroducing the remaining native herbivores would diversify the herbivory and disturbances of herbivore assemblages.</p>
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm. in Fusarium chuoi R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous, R. Hill, Gaya, D.T. Vu, Sand.-Den. & Crous sp. nov.
Colour illustrations. Flowers, fruits, leaves and seeds of Musa itinerans (background photo by D.T. Vu); from top to bottom and left to right: colony on PDA after 14 d at 24 °C in darkness (left = obverse,right = reverse), sporodochia formed on CLA, aerial conidiophore, aerial conidiogenous cells, aerial conidia, sporodochial conidia. Scale bars: black = 20 µm, white = 10 µm.
Supplementary material for: nQMaker: estimating time non-reversible amino acid substitution models
<p><span>Amino acid substitution models are a key component in phylogenetic analyses of protein sequences. All commonly-used amino acid models available to date are time-reversible, an assumption designed for computational convenience but not for biological reality. Another significant downside to time-reversible models is that they do not allow inference of rooted trees without outgroups. In this paper, we introduce a maximum likelihood approach nQMaker, an extension of the recently published QMaker method, that allows the estimation of time non-reversible amino acid substitution models and rooted phylogenetic trees from a set of protein sequence alignments. We show that the non-reversible models estimated with nQMaker are a much better fit to empirical alignments than pre-existing reversible models, across a wide range of datasets including mammals, birds, plants, fungi, and other taxa, and that the improvements in model fit scale with the size of the dataset. Notably, for the recently published plant and bird trees, these non-reversible models correctly recovered the commonly estimated root placements with very high statistical support without the need to use an outgroup. We provide nQMaker as an easy-to-use feature in the IQ-TREE software (<a href="http://www.iqtree.org">http://www.iqtree.org</a>), allowing users to estimate non-reversible models and rooted phylogenies from their own protein datasets.</span></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.