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.
1,880
datasets available to search
ShareScore release 0.9.0
Dataset results
1,880 results for “Dimensionality”
Wake vortices and dissipation in a tidally modulated flow past a three-dimensional topography
<p>LES simulation data of tidally modulated flow past an abyssal hill. Data used in the figures are available</p>
A case study of the dimensional effects in an additive manufacturing process with multiple operations
<p>This dataset provides a case study for the dimension changes of the prints in an additive manufacturing process with multiple operations. The operations are Stereolithography (SLA) printing and its two post-processing processes (washing and post-curing). The dataset contains the measured dimensions of the prints after each operation, which allows the modeling of each operation individually.<br> </p>
Simulation files to accompany the manuscript "Two-dimensional basin-scale seismic site effects in the Kitimat Valley, British Columbia, Canada: A practical example of using a fast hybrid FE/BE method"
<p>Simulation files to accompany the two-dimensional basin-scale seismic site effects investigation in the Kitimat valley, located in the northern coastal region of British Columbia, Canada.</p>
Dataset: Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography
<p>The ptychography datasets and processed wavefront data in support of the publication "Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication or thomas.moxham@eng.ox.ac.uk</p>
Shallow three-dimensional shear wave velocity model of Volcán de Colima
<p><strong>Velocity model presented in the paper:</strong></p> <p><strong>De Plaen, R.S.M., Mordret, A., Arámbula-Mendoza, R., Vargas-Bracamontes, D., Márquez-Ramírez, V.H., Lecocq, T., Ramírez Vázquez, C.A., González Amezcua, M. The shallow three-dimensional structure of Volcán de Colima revealed by ambient seismic noise tomography</strong></p> <p>Please cite the paper above when using this VS model.</p> <p><em>Description:</em></p> <ul> <li><strong>Colima_ANT_VSmodel.mat:</strong> Shallow 3D VS model of Volcán de Colima along with the corresponding velocity anomaly, error, and radial anisotropy. This version of the model has no vertical smoothing and no topographic correction.</li> <li><strong>Colima_AverageVSmodel.csv:</strong> Simple 1D VS model averaging over the entire study area.</li> <li><strong>Colima_CraterVSmodel.csv:</strong> Simple 1D VS model under the crater of Volcán de Colima.</li> <li><strong>3d plot.ipynb:</strong> Small jupyter notebook (in python) to plot, and understand the structure of the VS model.</li> </ul>
Training and validation datasets for "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network"
<p>This is training and validation datasets used in manuscript "Three-Dimensional Implicit Structural Modeling Using Convolutional Neural Network". In this manuscript, we propose an efficient deep learning method using a Convolutional Neural Network (CNN) to predict a scalar field from sparse structural data associated with multiple distinct stratigraphic layers and faults. The CNN architecture is beneficial for the flexible incorporation of empirical geological knowledge when trained with numerous and realistic structural models that are automatically generated from a data simulation workflow. It also presents an expressive characteristic of integrating various types of structural constraints by optimally minimizing a hybrid loss function to compare predicted and reference structural models, opening new opportunities for further improving geological modeling. </p>
Raw data files for "3D vs. turbostratic: controlling metal-organic framework dimensionality via N-heterocyclic carbene chemistry" manuscript
<p>Raw data files for a manuscript "3D vs. turbostratic: controlling metal-organic framework dimensionality via N-heterocyclic carbene chemistry" published in Chemical Science. <a href="https://doi.org/10.1039/D2SC01041K">https://doi.org/10.1039/D2SC01041K</a></p> <p>The files are organized by manuscript figure names and are in a simple text or CSV format. The headers contain the necessary information such as column designations, units, etc.</p> <p> </p> <p> </p> <p> </p>
Differences in neurotoxic outcomes of organophosphorus pesticides revealed via multi-dimensional screening in adult and regenerating planarians
<p>Organophosphorus pesticides (OPs) are a chemically diverse class of commonly used insecticides. Epidemiological studies suggest that low dose chronic prenatal and infant exposures can lead to life-long neurological damage and behavioral disorders. While inhibition of acetylcholinesterase (AChE) is the shared mechanism of acute OP neurotoxicity, OP-induced developmental neurotoxicity (DNT) can occur independently and/or in the absence of significant AChE inhibition, suggesting alternative targets. Moreover, different OPs can cause different adverse outcomes, suggesting that different OPs act through different mechanisms, emphasizing the importance of comparative studies of OP toxicity. Freshwater planarians are an invertebrate system that uniquely allows for automated, rapid and inexpensive testing of adult and developing organisms in parallel to differentiate neurotoxicity from DNT. Effects found only in regenerating planarians would be indicative of DNT, whereas shared effects may represent general neurotoxicity. We leverage this feature to investigate potential differential effects of these OPs on the adult and developing brain by performing a comparative high-throughput screen to test 7 OPs (acephate, chlorpyrifos, dichlorvos, diazinon, malathion, parathion and profenofos) across 10 concentrations in quarter-log steps. Neurotoxicity was evaluated using a wide range of quantitative morphological and behavioral readouts. AChE activity was measured using an Ellman assay. The toxicological profiles of the 7 OPs differed across the OPs and between adult and regenerating planarians. Toxicological profiles were not correlated with levels of AChE inhibition. Twenty-two "mechanistic control compounds" known to target pathways suggested in the literature to be affected by OPs (cholinergic neurotransmission, serotonin neurotransmission, endocannabinoid system, cytoskeleton, adenyl cyclase and oxidative stress) and 2 negative controls were also screened. When compared with the mechanistic control compounds, the phenotypic profiles of the different OPs separated into distinct clusters. The phenotypic profiles of adult vs regenerating planarians exposed to the OPs clustered differently, suggesting some developmental-specific mechanisms. These results further support findings in other systems that OPs cause different adverse outcomes in the (developing) brain and build the foundation for future comparative studies focused on delineating the mechanisms of OP neurotoxicity in planarians.</p>
Chiral flow in a binary mixture of two-dimensional active disks - Supplementary Data
<p>Supplementary data for the paper: "Chiral flow in a binary mixture of two-dimensional active disks"</p> <p> </p> <ol> <li>*_raw_trajectories.pkl.xz files contain tracking data for each experiment as a pickled Pandas DataFrame object (xz compression) in pixel units (particle diameter=77px)</li> <li>*_w.pkl.xz files contain self-rotation velocity for each experiment as a pickled Pandas DataFrame object (xz compression) in rad/s</li> <li>experiments_properties.dat is a summary table containing the average fields (including vorticity and kinetic energy) for all experiments. Also subdivided by species.</li> </ol>
Accounting for the three-dimensional nature of mountain waves: parametrizing partial critical level filtering
<p>This data is used in the production of figures and results presented in the paper 'Accounting for the three-dimensional nature of mountain waves: parametrizing partial critical level filtering', submitted to the Quarterly Journal of the Royal Meteorological Society.</p> <p> </p> <p>See README file for details.</p> <p> </p> <p> </p>
Three-dimensional stratification pattern in an old-growth lowland forest: how does height in canopy and season influence temperate bat activity?
<p class="PaperLauftext">The study of animal-habitat interactions is of primary importance for the formulation of conservation recommendations. Flying, gliding and climbing animals have the ability to exploit their habitat in a three-dimensional way and the vertical canopy structure in forests plays an essential role for habitat suitability. Forest bats as flying mammals may seasonally shift their microhabitat use due to differing energy demands or changing prey availability, but the patterns are not well understood.</p> <p>We investigated three-dimensional and seasonal habitat use by insectivorous bats in a temperate lowland old-growth forest, the <i>Belovezhskaya Pushcha</i> in Belarus. We acoustically sampled broadleaved and mixed coniferous plots in the forest interior and in gaps in three heights during two reproductive periods (pregnancy/lactation versus post-lactation). In canopy gaps, vertical stratification in bat activity was less pronounced than in the forest interior. Vertical activity patterns differed among species. The upper canopy levels were important foraging habitats for the open-space forager guild and for some edge-space foragers like the Barbastelle bat <i>Barbastella barbastellus</i> and the soprano pipistrelle <i>Pipistrellus pygmaeus</i>. <i>Myotis</i> species had highest activity levels near the ground in forest gaps. Moreover, we found species-dependent seasonal microhabitat shifts. Generally, all species and species groups considered except <i>Myotis</i> species showed higher activity levels during post-lactation. <i>Myotis</i> species tended towards higher activity in the forest interior during post-lactation. <i>P. pygmaeus</i> switched from high activity levels in the upper canopy during pregnancy and lactation to high activity levels near the ground during post-lactation. We conclude that a full comprehension of forest bat habitat use is only possible when height in canopy and seasonal patterns are considered.</p>
Training and validation data for artificial neural networks using three-dimensional partial convolutions to fill gaps in satellite image time series
<p>This dataset contains training and validation data for artificial neural networks using three-dimensional partial convolutions to fill gaps in satellite image time series. The data have been derived from Sentinel-5P total column carbon monoxide observations, using the offline processing stream.</p> <p><strong>Preprocessing</strong></p> <p>The following operations have been applied on the original S5P imagery:</p> <ol> <li>Images have been resampled to 0.1 by 0.1 degree spatial resolution</li> <li>Pixels with quality assessment value less than or equal to 0.5 have been set to NA</li> <li>Images have been aggregated by day of observation</li> <li>Images have been cropped to -60 to 60 degrees latitude</li> <li>Images have been devided into spatiotemporal blocks of size 128 x 128 pixels and 16 days</li> </ol> <p>Imagery has been recorded between 2021-01-01 and 2021-11-25. Notice that both the training and the validation blocks have been randomly sampled from all available blocks.</p> <p><br> <strong>Data Format and Naming Conventions</strong></p> <p>Input and output data blocks are stored as GeoTIFF files, where bands represent time. Notice the following file naming conventions:</p> <ul> <li>Files starting with <em>X</em> represent input measurements for training, where artificial gaps have been added.</li> <li>Files starting with <em>Y</em> represent true measurements without artificially added gaps (but still containing gaps in many cases).</li> <li>Binary masks of input data where all pixels with valid measurements are 1 and others 0 are stored in files whose name starts with <em>MASK</em></li> <li>Files starting with <em>VALMASK</em> contain a binary mask where only pixels that are available in Y but not in X are 1. The latter is used for validation on artificially removed pixels only.</li> </ul> <p>Numbers in filenames encode spatial and temporal block indexes.</p> <p>In addition, the dataset contains prediction of the validation blocks from different models in the `predictions` directory. The subfolders contain output from different models:</p> <ul> <li>mean refers to simple block-wise mean predictions.</li> <li>timeseries refers to simple linear time series interpolation.</li> <li>gapfill refers to the method proposed in [1].</li> <li>stmra refers to the method proposed in [2].</li> <li>STpconv refers to predictions passed on an artificial neural netowork with three-dimensional partial convolutions.</li> </ul> <p><strong>References</strong></p> <p>[1] Gerber, F., de Jong, R., Schaepman, M. E., Schaepman-Strub, G., & Furrer, R. (2018). Predicting missing values in spatio-temporal remote sensing data. IEEE Transactions on Geoscience and Remote Sensing, 56(5), 2841-2853.</p> <p>[2] Appel, M., & Pebesma, E. (2020). Spatiotemporal multi-resolution approximations for analyzing global environmental data. Spatial Statistics, 38, 100465.</p>
THREE-DIMENSIONAL VOLUMETRIC EVALUATION OF ROOT RESORPTION IN MAXILLARY ANTERIORS FOLLOWING EN-MASSE RETRACTION WITH VARYING FORCE VECTORS - A RANDOMIZED CONTROL TRIAL
<p>To assess the severity of root resorption (RR) during retraction of maxillary anteriors with and without skeletal anchorage (three different force systems); and analyze it comprehensively using cone-beam computed tomography (CBCT) superimpositions.</p>
Three-dimensional mapping of carbon, nitrogen, and phosphorus in soil microbial biomass and their stoichiometry at the global scale
<p>R code, raw datasets, and predicted global maps of soil microbial biomass C, N, and P and their stoichiometric ratios at 0-30 cm depth.</p> <p>When using any of these layers, please cite: Gao et al., Three-dimensional mapping of carbon, nitrogen, and phosphorus in soil microbial biomass and their stoichiometry at the global scale (2022). Global Change Biology. DOI: 10.1111/gcb.16374</p>
Three-dimensional surface scans of tooth surfaces of Japanese wild boars.
<p>Three-dimensional surface scans of tooth surfaces of Japanese wild boars are saved in .sur format and surface analyses files in .mnt format, which are analyzed in:</p> <p>Miyamoto, K., Kubo, M. O. and Yokohata, Y. "Dental microwear texture of wild boars from Japan reflects inter- and intra-populational feeding preferences" submitted to Frontiers in Ecology and Evolution.</p> <p>Please see information in the paper for details.</p>
Supporting Information: Mapping conduits in two-dimensional heterogeneous karst aquifers using hydraulic tomography
<p>This file contains the supplementary data for a article submitted to Journal of Hydrology.</p>
Original data for publications: Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte, Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications, Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2
<p>Original data for the following papers (Only part of University of Geneva, synthesis part):</p> <p>Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte<br> Gigante, A.; Duchêne, L.; Moury, R.; Pupier, M.; Remhof, A.; Hagemann, H.<br> ChemSusChem 2019, 12, 4832-4837</p> <p>Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications<br> Romain Moury, Angelina Gigante, Arndt Remhof, Elsa Roedern and Hans Hagemann<br> Dalton Trans., 2020,49, 12168-12173, https://doi.org/10.1039/D0DT02170A</p> <p>Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2<br> Angelina Gigante, Noemi Leick, Andrew S. Lipton, Ba Tran, Nicholas A. Strange, Mark Bowden, Madison B. Martinez, Romain Moury, Thomas Gennett, Hans Hagemann, and Tom S. Autrey<br> ACS Appl. Energy Mater. 2021, 4,3737-3747. https://doi.org/10.1021/acsaem.1c00159</p> <p> </p>
Data for: Development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection
<p>This dataset was used for development of a method for the measurement of human scent samples using comprehensive two-dimensional gas chromatography with mass detection [<a href="https://doi.org/10.1016/j.forsciint.2016.09.011">https://doi.org/10.1016/j.forsciint.2016.09.011</a>].</p> <p>The dataset contains chromatograms of a model mixture of human scent and chromatograms of the human scent of one volunteer measured on different column setups. Each sample was processed in ChromaToF(version 4.72.0.0) by LECO corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500 (human scent samples chromatograms).</p>
Data set for "Inkjet-printed low-dimensional materials-based complementary electronic circuits on paper"
<p>Data set of the experimental results presented in the article "Inkjet-printed low-dimensional materials-based complementary electronic circuits on paper" published in npj-2D Materials and applications.</p>
Avoiding growing pains in reproductive trait databases: the curse of dimensionality
<p><strong>Aim: </strong>Reproductive output features prominently in many trait databases, but the metrics describing it vary and are often untethered to temporal- and volumetric-dimensions (e.g., fecundity-per-bout). Using such ambiguous reproductive measures to make broadscale comparisons across taxonomic groups will only be meaningful if they show a 1:1 relationship with a reproductive measure that explicitly includes both a volumetric and temporal component (i.e., reproductive mass-per-year). We sought to map the prevalence of ambiguous and explicit reproductive measures across taxa, and explore their relationships with one another to determine the cross-compatibility and utility of reproductive metrics in trait databases.</p> <p><strong>Location: </strong>Global.</p> <p><strong>Time period: </strong>1990-2021.</p> <p><strong>Major taxa studied:</strong> We searched for reproductive measures across all Metazoa, and identified 19,785 Chordata species, along with 440 species of Arthropoda, Cnidaria, or Mollusca.</p> <p><strong>Methods:</strong> We included 37 databases from which we summarised the commonality of reproductive metrics across taxonomic groups. We also quantified scaling relationships between ambiguous reproductive traits (fecundity-per-bout, fecundity-per-year and reproductive mass-per-bout) and an explicit measure (reproductive mass per-year) to assess their cross-compatibility.</p> <p><strong>Results: </strong>Most species were missing at least one temporal or volumetric dimension of reproductive output, such that reproductive mass-per-year could be reconstructed for only 4,786 vertebrate species. Ambiguous reproductive measures were poor predictors of reproductive mass-per-year – in no instance did these measures scale at 1:1.</p> <p><strong>Main Conclusions:</strong> Ambiguous measures systematically misestimate reproductive mass-per-year. Until more data are collected, we suggest authors use the clade-specific scaling relationships provided here to convert ambiguous reproductive measures to reproductive mass-per-year. </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.