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917 results for “Theorie”
Data from: The evolution of sexes: a specific test of the disruptive selection theory
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Can evolutionary theories of dispersal and senescence predict postrelease survival, dispersal, and body condition of a reintroduced threatened mammal?
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Density functional theory study of Mobius boroncarbon-nitride as potential CH4, H2S, NH3, COCl2 and CH3OH gas sensor
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Empirically estimated electron lifetimes in the Earth's radiation belts: 2. Comparison with theory
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The theory and applications of measuring broad-range and chromosome-wide recombination rate from allele frequency decay around a selected locus
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Testing the Kinship Theory of Intragenomic Conflict in Honey Bees (Apis mellifera)
GEO Series GSE76164. Apis mellifera. 25 samples. Type: Expression profiling by high throughput sequencing.
Beyond the polymerase-gamma theory: Respiratory chain inhibition and production of ROS as modes of NRTI induced mitochondrial toxicity
GEO Series GSE100482. Caenorhabditis elegans. 30 samples. Type: Expression profiling by high throughput sequencing.
DATASET: Hierarchical Bayesian Operational Modal Analysis: Theory and Computations
<p>Inquiries about these data sets should be addressed to <strong>Dr. Omid Sedehi</strong> at <strong>osedehi@connect.ust.hk</strong>.</p> <p>To cite this data set, you may refer to <strong>https://doi.org/10.1016/j.ymssp.2020.106663</strong></p>
"Lay theories of peace" Leshen & Halperin 2020 - Materials
<p>Codebook, dataset (sta. format and csv. format), do file (for stata), and cfa outputs for "Lay theories of peace and their influence on policy preferences during violent conflict".</p>
Data for Kinetic Entropy-Based Measures of Distribution Function Non-Maxwellianity: Theory and Simulations
<p>*************************************************<br> Data for Fig. 1:<br> *************************************************<br> nonmax_bimax_kp_1.csv is a CSV file with the data for the black curve in Figure 1. There are 1000 lines, and each line contains two numbers - the analytic value of Kaufmann and Paterson non-Maxwellianity for a bi-Maxwellian distribution and T_perp / T_parallel.</p> <p>nonmax_bimax_kp_2.csv is a CSV file with the data for the red curve in Figure 1. There are 1099 lines, and each line contains two numbers - the analytic value of Kaufmann and Paterson non-Maxwellianity for a bi-Maxwellian distribution and T_perp / T_parallel.</p> <p>*************************************************<br> Data for Fig. 2:<br> *************************************************<br> Below are the general instructions which might be useful for reproducing Fig 2 plots<br> 1. read in the .csv files and associate the variable according to the file names<br> 2. To plot Fig 2 (a), do a 2D plot of (b,Phi) vs s_Eg. b corresponds the column of s_Eg and Phi corresponds to the row of s_Eg.<br> Similarly, to plot Fig 2 (d), do a 2D plot of (b,Phi) vs Mbar_KP. Again, b corresponds the column of Mbar_KP and Phi corresponds to the row of Mbar_KP.<br> 3. Fig 2 (b) and (c) are cuts of (a) at particular values of Phi and b respectively.<br> Similarly,Fig 2 (e) and (f) are cuts of (d) at particular values of Phi and b respectively.</p> <p>*************************************************<br> Data for Fig. 3:<br> *************************************************<br> Below are the general instructions which might be useful for reproducing Fig 3 plots<br> 1. read in the .csv files and associate the variable according to the file names. Here, n_norm = n/n_infinity.<br> 2. To plot Fig 3 (a), do a 2D plot of (b,n_norm) vs s_Eg. b corresponds the column of s_Eg and n_norm corresponds to the row of s_Eg.<br> Similarly, to plot Fig 3 (d), do a 2D plot of (b,n_norm) vs Mbar_KP. Again, b corresponds the column of Mbar_KP and n_norm corresponds to the row of Mbar_KP.<br> 3. Fig 3 (b) and (c) are cuts of (a) at particular values of n_norm and b respectively.<br> Similarly, Fig 3 (e) and (f) are cuts of (d) at particular values of n_norm and b respectively.</p> <p>*************************************************<br> Data for Fig. 4:<br> *************************************************<br> nonmax_bimax_1.csv is a CSV file with the data for the black curve in Figure 4. There are 1000 lines, and each line contains two numbers - the analytic value of the non-Maxwellianity for a bi-Maxwellian distribution and T_perp / T_parallel.</p> <p>nonmax_bimax_2.csv is a CSV file with the data for the red curve in Figure 4. There are 399997 lines, and each line contains two numbers - the analytic value of non-Maxwellianity for a bi-Maxwellian distribution and the base 10 logarithm of T_perp / T_parallel.</p> <p>*************************************************<br> Mbar for Figs. 5-9:<br> *************************************************<br> The Mbar_data.csv is a CSV file saving magnetic field Bx, By, the Kaufmann and Paterson non-Maxwellianity (Mbare_KP for electrons, Mbari_KP for ions) and the new defination of non-Maxwellianity (Mbare_norm for electrons, Mbari_norm for ions) as a function of location (x,y) in the simulation domain.</p> <p>The x consists of 4096 data points from 0.00625 to 51.19375.<br> The y consists of 2048 data points from 0.00625 to 25.59375.</p> <p>The x-point location is (x0,y0)=(11.15625,19.24375). The plots in Figures 5-6,7a,8a, and 9a are used relative coordinates (x-x0,y-y0). The magnetic field data can be used to plot the field lines as contours of vector potential Az(x,y) as a function of Bx(x,y) and By(x,y) in Figures 5-6. Figures 7a, 8a, 9a are cuts at x-x0=0,8,13 respectively.</p> <p>*************************************************<br> Distribution Functions for Figs 7-9:<br> *************************************************<br> The CSV files are named as "DF_X#_Y#.csv". The two "#" are the (x-x0,y-y0) coordinates of the distribution function. In each of the files, the data includes three columns. The first two columns are either the vx and vy for Figure 7b or v_par and v_perp1 for Figures 8b and 9b. The last column is the corresponding values of the distribution functions.</p>
Research Data Supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster"
<p>Research data supporting "Theory and Implementation of a Novel Stochastic Approach to Coupled Cluster". This dataset includes all outputs for diagrammatic Coupled Cluster Monte Carlo simulations on systems of noninteracting hydrogen square replicas, and the double dissociation of water. This dataset also includes all code used to generate, analyse and plot all diagCCMC results.</p>
Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality
<p>These four datasets accompany the original preprint "Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures", now revised to "Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality".</p> <p>URL to preprint before revisions: https://www.biorxiv.org/content/10.1101/2020.03.17.993444v2.<br> <br> Included are both Antibody Model Libraries and two further files generated during peer-review.</p>
Scaling in internally heated convection:a unifying theory
<p>The data contains dataset for the paper: Scaling in internally heated convection:a unifying theory. By Qi Wang, Detlef Lohse and Olga Shishkina.</p>
Data from: Miracle of light in evolution unravels panspermia theory of origin of life
<p>The hypothesis of origin of life is ancillary to how life evolved on earth based on the laws of astrophysics. Evolution of life on earth, based on the laws of Astrophysics, is the benchmark to unravel 'Panspermia Theory of Origin of Life' which is gaining momentum in recent years with sufficient scientific evidences. All these evidences are already found mentioned in the two categories of vedic knowledge, knowledge of material sciences (apara vidya) and knowledge of the inner world spiritual knowledge (para vidya). "Jyotish", a Vedānga, with explicit scientific proof advocates that evolution of all life is only on our planet in physical forms and nowhere else in the Universe. The underlying cause is that light does its magical trick: the magic of transformation of matter into life and the magic of transformation of light into living energy that transfers from plants to all animals. Advanced Panspermia Origin of life explains the plausible mechanism of connecting the inorganic chemistry available to us in the universe and that life arose from it as an emergent property of matter. Evolution of life on earth addresses the two critical areas of advanced complex life of 'Cambrian Explosion' and the development of even more complex and intricate human brain on earth. Electromagnetic force is the main criterion for encoding of DNA during origin of the cell, conserving and decoding of DNA in evolution. Solar disturbances and their particle emissions are the most probable link between biological and extra-terrestrial events.</p>
Data from: A resource-rational theory of set size effects in human visual working memory
Encoding precision in visual working memory decreases with the number of encoded items. Here, we propose a normative theory for such set size effects: the brain minimizes a weighted sum of an error-based behavioral cost and a neural encoding cost. We construct a model from this theory and find that it predicts set size effects. Notably, these effects are mediated by probing probability, which aligns with previous empirical findings. The model accounts well for effects of both set size and probing probability on encoding precision in nine delayed-estimation experiments. Moreover, we find support for the prediction that the total amount of invested resource can vary non-monotonically with set size. Finally, we show that it is sometimes optimal to encode only a subset or even none of the relevant items in a task. Our findings raise the possibility that cognitive "limitations" arise from rational cost minimization rather than from constraints.
Data from: Sex allocation theory reveals a hidden cost of neonicotinoid exposure in a parasitoid wasp
Sex allocation theory has proved to be one the most successful theories in evolutionary ecology. However, its role in more applied aspects of ecology has been limited. Here we show how sex allocation theory helps uncover an otherwise hidden cost of neonicotinoid exposure in the parasitoid wasp Nasonia vitripennis. Female N. vitripennis allocate the sex of their offspring in line with Local Mate Competition (LMC) theory. Neonicotinoids are an economically important class of insecticides, but their deployment remains controversial, with evidence linking them to the decline of beneficial species. We demonstrate for the first time to our knowledge, that neonicotinoids disrupt the crucial reproductive behaviour of facultative sex allocation at sub-lethal, field-relevant doses in N. vitripennis. The quantitative predictions we can make from LMC theory show that females exposed to neonicotinoids are less able to allocate sex optimally and that this failure imposes a significant fitness cost. Our work highlights that understanding the ecological consequences of neonicotinoid deployment requires not just measures of mortality or even fecundity reduction among non-target species, but also measures that capture broader fitness costs, in this case offspring sex allocation. Our work also highlights new avenues for exploring how females obtain information when allocating sex under LMC.
Data from: The theory of island biogeography and soundscapes: species diversity and the organization of acoustic communities
Aim: On islands, species richness is reduced and interspecific competition relaxed in relation to the mainland, allowing species to use broader ecological niches. These factors are known to affect diet and morphology, but can also affect communication and acoustic signaling in particular. However, no study has ever compared insular and continental soundscapes to determine to which extent islands present reduced acoustic richness (number of co-vocalizing species) and fewer constraints for vocalizing species. Location: São Tomé Island, Mount Cameroon, Madeira Island, Southern France Taxon: Birds Methods: We compared two pairs of insular and continental soundscapes: one in a temperate zone, the other in the tropics. We recorded sounds produced in similar types of primary forests and measured acoustic richness and ambient noise profiles. We then assessed acoustic niche organization by computing, for each community, species turnover, temporal and frequency overlaps, and acoustic avoidance. Results: We found fewer species co-vocalizing on islands compared to mainland and in temperate compared to tropical region. Ambient noise was louder in the tropics and occupied a wider frequency range, especially on the mainland, thereby revealing a reduction in available acoustic space for tropical mainland birds. In this more crowded and noisy soundscape, species presented a higher acoustic turnover, overlapped less in time and in frequency with each other and acoustically avoided each other more when compared to the three other communities. Main conclusions: Soundscapes differed and imposed fewer constraints on vocalizing species along the species diversity gradient from tropical mainland to temperate island. Acoustic niche partitioning increased with species richness and was associated with increased levels of acoustic interference. Results set a scene for an effect of relaxed competition on song evolution on islands, especially in the tropics.
Data from: Phanerozoic diversity and neutral theory
Although Phanerozoic increases in the global richness, local richness, and evenness of marine invertebrates are well documented, a common explanation for these patterns has been difficult to identify. Evidence is presented here from marine invertebrate communities that there is a Phanerozoic increase in the fundamental biodiversity number (θ), which describes diversity and relative abundance distributions in neutral ecological theory. If marine ecosystems behave according to the rules of Hubbell's Neutral Theory of Biodiversity and Biogeography, the Phanerozoic increase in θ suggests three possible mechanisms for the parallel increases in global richness, local richness, and evenness: (1) an increase in the per-individual probability of speciation, (2) an increase in the area occupied by marine metacommunities, and (3) an increase in the density (per-area abundance) of marine organisms. Because speciation rates have declined over time and because there is no clear evidence for an increase in metacommunity area through the Phanerozoic, the most likely of these is an increase in the spatial density of marine invertebrates over the Phanerozoic, an interpretation supported by previous studies of fossil abundance. This, coupled with a Phanerozoic rise in body size, suggests that an increase in primary productivity through time is the primary cause of Phanerozoic increases in θ, global richness, local richness, local evenness, abundance, and body size.
Additional Data from ``Developments in Stochastic Coupled Cluster Theory: The initiator approximation and application to the Uniform Electron Gas''
<p>We describe further details of the Stochastic Coupled Cluster method and a diagnostic of such calculations, the shoulder height, akin to the plateau found in Full Configuration Interaction Quantum Monte Carlo. We describe an initiator modification to Stochastic Coupled Cluster Theory and show that initiator calculations can be extrapolated to the unbiased limit. We apply this method to the 3D 14-electron uniform electron gas and present complete basis set limit values of the CCSD and previously unattainable CCSDT correlation energies for up to $r_s=2$, showing a requirement to include triple excitations to accurately calculate energies at high densities.</p>
The simulation data for the paper: Modeling the inner part of the jet in M87: confronting jet morphology with theory
<p>"mad98.prim.02740.athdf" is the simulation data of the fiducial model MAD98, "mad98low.prim.03900.athdf" is the simulation of the low resolution of MAD98.</p>
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.