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162 results for “invariability”
Climate-Invariant Machine Learning
<p>The "Climate-Invariant Machine Learning" manuscript's accompanying data is organized into two folders:</p> <ul> <li>"CIML_Fig_Data_v2.zip" contains the data necessary to reproduce all the manuscript's figures by running the Jupyter notebook <a href="https://github.com/tbeucler/CBRAIN-CAM/blob/master/notebooks/tbeucler_devlog/090_Climate_Invariant_Paper_Figures_v2.ipynb">at this link</a> and to train climate-invariant models by running the Jupyter notebook <a href="https://colab.research.google.com/github/tbeucler/CBRAIN-CAM/blob/master/Climate_Invariant_Guide.ipynb">at this link</a>.</li> <li>"CIML_SPCAM5_Initialization" contains the data necessary to intialize and re-run the three SPCAM5, Earth-like simulations used in the manuscript.</li> </ul> <p>See SI A of the manuscript and the notebooks for more details.</p> <p>This is a pre-release: The release will be final if the manuscript if accepted for publication after peer-review.</p>
Repeatable randomness, invariant properties, and the design of biological signatures of identity
<p>What makes a perfect signature? Optimal signatures should be consistent within individuals and distinctive between individuals. In defence against avian brood parasitism, some host species have evolved 'signatures' of identity on their eggs, comprising inter-individual variation in colour and pattern. Tawny-flanked prinia (<em>Prinia subflava</em>) egg signatures facilitate recognition and rejection of parasitic cuckoo finch (<em>Anomalospiza imberbis</em>) eggs. Here, we show that consistency and distinctiveness of pattern are negatively correlated in prinia eggs, perhaps because non-random, repeatable pattern generation mechanisms increase consistency but limit distinctiveness. We hypothesise that pattern properties which are repeatable within individuals but random between individuals ('invariant properties') allow hosts to circumvent this trade-off. To find invariant properties, we develop a method to quantify entire egg phenotypes from images taken from different perspectives. We find that marking scale (a fine-grained measure of size), but not marking orientation or position, is an invariant property in prinias. Hosts should therefore use differences in marking scale in egg recognition, but instead field experiments show that these differences do not predict rejection of conspecific eggs by prinias. Overall, we show that invariant properties allow consistency and distinctiveness to coexist, yet receiver behaviour is not optimally tuned to make use of this information.</p>
Informativeness, contingency and time scale invariance in associative learning
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Algebraic invariants for inferring 4-leaf semi-directed phylogenetic networks
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Repeatable randomness, invariant properties, and the design of biological signatures of identity
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Data from: View invariant representations in ancestral cortex
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Simple connected graph invariants up to order ten
<p>This is the database file for the <em>Encyclopedia of Finite Graphs</em> and the upcoming paper <em>Integer sequence discovery from small graphs</em>. It contains a collection of invariants for all simple connected graphs up to order 10 and the integer sequences one can make.</p>
Results of the paper "Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment"
<p>This repository contains the composition identification and tonic identification results along with the statistical significance values presented in the paper:</p> <p>Şentürk, S., & Serra X. (2016). <strong>Composition Identification in Ottoman-Turkish Makam Music Using Transposition-Invariant Partial Audio-Score Alignment.</strong> In Proceedings of 13th Sound and Music Computing Conference (SMC 2016), (pp. XX–XX)., Hamburg, Germany.</p> <p>Please cite the publication above in any work using this dataset.</p> <p>For the details of the results, please refer to the paper. For any further information please contact the authors.</p> <p>This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.</p>
Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in boost-invariant and non-boost-invariant systems
<p>Datasets of the figures of the paper "Far-from-equilibrium attractors with Full Relativistic Boltzmann approach in boost-invariant and non-boost-invariant systems'" available on <a href="https://arxiv.org/abs/2311.11921">arXiv:2311.11921.</a></p>
PLDI2024 Artifact: A HAT Trick: Automatically Verifying Representation Invariants Using Symbolic Finite Automata
<p>This artifact contains:</p> <ol> <li>README.md : the artifact guide.</li> <li>marple-original-submission.pdf: the original submitted paper.</li> <li>marple:pldi-2024.tar.gz: the docker image (optional, we recommend to pull from the docker hub, see README.md).</li> <li>Dockerfile: the docker file that can reproduce the docker image (optional, we recommend to pull from the docker hub, see README.md).</li> </ol>
Figure 18 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 18. Mean growth functions of row measurements.
Figure 16 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 16. Mean growth functions of chamberlet measurements.
Figure 9 in Objective identification of Lepidocyclina (Foraminifera) species from the Eocene of Cuba based on growth-invariant morphometric characters
Figure 9. Cluster analysis based on Ward's method. Sample locations indicated by colours.
Analysis data for location- and scale-invariant power transformations
<p>This repository contains various files and folders related to the machine learning experiments in a forthcoming manuscript on location- and scale-invariant power transformations.</p>
Geomorphic dating of across-fault gully incision reveals time-invariant late Quaternary slip-rates at the eastern termination of the Altyn Tagh Fault
<p>Interpretation of fault slip-rates inferred from tectonically offset fluvial landforms is often limited by uncertainties associated with difficulties to explicitly date fluvial incision across the fault. Here, we employed morphology-based modeling to ameliorate this universal dating limitation for gullies that were differentially offset in a sinistral sense across the Altyn Tagh Fault near its eastern termination at ~97°E. Using a stream-power erosion model with locally calibrated coefficients we calculated across-fault gully incision ages that decrease with offset magnitude, are up to threefold younger than the age of the terrace they incised and all-together point towards time-invariant sinistral slip. Luminescence dating of offset alluvial terraces at the same site suggests constant sinistral slip at 0.5±0.1 mm/yr since 52±4 ka. Our results are consistent with northeastward expansion of the Tibetan Plateau into stable parts of central Asia through an episodic, “stepwise” process punctuated by prolonged geologic time intervals of constant deformation rates.</p>
Data for "How to use scale invariant properties of imperviousness in urban areas to handle missing data ?"
<p>The data set corresponds the data presented in the data paper : “How to use scale invariant properties of imperviousness in urban areas to handle missing data ?“ which has been submitted to Water Resources Research ” (https://agupubs.onlinelibrary.wiley.com/journal/19447973).</p> <p>It corresponds to :</p> <p>- the rainfall data collected on 2019-06-02 with 5 min and 30 s time steps by a disdrometer installed on the roof of Ecole des Ponts ParisTech building.</p> <p>- land use distribution for the Jouy-en-Josas catchment (1 = forest, 2= road, 3=Grass, 4=building, 5=Gully, 6=missing data), with pixel size of 10 m and 2 m.</p> <p>More details can be found in the file and in the paper.</p>
Learning Broken Symmetries with Resimulation and Encouraged Invariance
<p>This dataset corresponds to "Learning Broken Symmetries with Resimulation and Encouraged Invariance" (2311.05952) and is meant for use with the code at <a href="https://github.com/Edwit4/learning_broken_symmetries">https://github.com/Edwit4/learning_broken_symmetries</a>.</p>
TACO: a benchmark for connectivity-invariance in shape correspondence
<div> <h1>TACO: a benchmark for connectivity-invariance in shape correspondence</h1> </div> <p>In real-world scenarios, a major limitation for shape-matching datasets is represented by having all the meshes of the same subject share their connectivity across different poses. Specifically, similar connectivities could provide a significant bias for shape-matching algorithms, simplifying the matching process and potentially leading to correspondences based on recurring triangle patterns rather than geometric correspondences between mesh parts. As a consequence, the resulting correspondence may be meaningless, and the evaluation of the algorithm may be misled.<br>To overcome this limitation, we introduce TACO, a new dataset where meshes representing the same subject in different poses do not share the same connectivity, and we compute new ground truth correspondences between shapes. We extensively evaluate our dataset to ensure that ground truth isometries are properly preserved. We also use our dataset to validate state-of-the-art shape-matching algorithms, verifying a degradation in performance when the connectivity gets altered.</p> <p> </p> <h2><strong>Dataset structure</strong></h2> <ul> <li>offs: a directory containing all the triangular meshes in the dataset in <a href="https://en.wikipedia.org/wiki/OFF_(file_format)#:~:text=OFF%20(Object%20File%20Format)%20is,higher%2Ddimensional%20objects%20as%20well." target="_blank" rel="noopener">OFF file format</a></li> <li>pairs.txt: a list of all the 420 possible pairs of shapes in the dataset</li> <li>gt_matches: a directory containing all the ground truth correspondences listed in `pairs.txt` and stored in <a href="https://it.mathworks.com/help/matlab/apiref/matfileapi.html">MAT file format</a></li> </ul>
Supporting data for the article "Continuing invariant solutions towards the turbulent flow"
<p>Supporting data for the article "Continuing invariant solutions towards the turbulent flow": numerical code and computed invariant solutions</p>
Model and the related code for gravity field determination from the third invariant of the GOCE gravity gradient tensors: I3GG V1.0th
<p>The model and the related code for gravity field determination from the third invariant of the GOCE gravity gradient tensors: I3GG V1.0th</p>
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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.