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.
9,882
datasets available to search
ShareScore release 0.9.0
Dataset results
9,882 results for “Scale”
Dataset for evaluating rooftop photovoltaic solar panels impact on urban temperature at city scale
<p>This dataset contains simulation outputs from the WRF/BEP+BEM v4.3.3 model, evaluating the impact of rooftop photovoltaic solar panels on urban temperatures in five cities: Kolkata, Austin, Sydney, Athens, and Brussels. The model uses one parent domain and two nested domains with resolutions of 18 km, 6 km, and 2 km, focusing on the 2 km resolution. Simulations cover the summer periods of each city, including panel surface temperature and urban state variables data. The dataset represents diverse climate types: tropical wet and dry (Kolkata), Mediterranean (Athens), moderate oceanic<em> </em>(Brussels), and subtropical humid (Sydney and Austin).</p>
Permeable pavement hydraulic performance and clogging experiments using a full-scale urban drainage physical model
<p>This dataset contains the results from 15 tests conducted used a physical model in the Hydraulic Laboratory of the Centre for Technological Innovation in Construction and Civil Engineering (CITEEC) at the University of A Coruña (Spain) as part of the POREDRAIN project.</p> <p><br>The objective of the tests is to analyse the hydraulic performance of a porous asphalt layer of the PA-16 type and the impact of clogging on the hydrological behaviour and water quality of the effluent. The porous asphalt was used to retrofit an impervious concrete surface of a 36 m² full-scale street section physical model, which consist of a rainfall simulator placed over the street surface. The behaviour of the porous asphalt layer was assessed by adding surface sediment loads between simulated rainfall events. Stormwater flow discharges were collected from two gully pots and an outlet lateral channel. </p>
Data for "Entanglement Dynamics in Monitored Kitaev Circuits: Loop Models, Symmetry Classification, and Quantum Lifshitz Scaling"
<p>We provide the data and scripts used to produce the figures shown in our publication "Entanglement Dynamics in Monitored Kitaev Circuits:<br>Loop Models, Symmetry Classification, and Quantum Lifshitz Scaling".</p>
Displacement time series from Foamquake and Gelquake in single- and double asperity configurations: Supplementary material to "Scaled seismotectonic models of megathrust seismic cycles through the lens of dynamical system theory"
<p><span>This dataset includes displacement data from 4 experiments performed with Foamquake and Gelquake (Mastella et al. 2022, Corbi et al., 2013), two scaled seismotectonic models reproducing the megathrust seismic cycle running at the Laboratory of Experimental Tectonics LET (Univ. Roma Tre). These models enable the generation of hundreds of quasi-periodic cycles of stress accumulation and sudden release through the spontaneous nucleation of frictional instabilities within one or many analog seismic asperities. Models are monitored by the means of a high-resolution top-view monitoring camera acquiring images at 7.5 and 50 frames per second for Gelquake and Foamquake, respectively. This dataset has been created with particle image velocimetry (PIV, using MatPIV (Sveen 2004)) through the cross-correlation between consecutive images. The PIV provides us with velocity field time series. These are integrated to obtain displacement time series. From the whole model surface, in each experiment we selected data from a cross-section striking parallel to the trench and located at the downdip center of the asperities. Cross sections are discretized in 28 and 29 target points in Gelquake and Foamquake, respectively. </span></p> <p><span>Displacement time series have been normalized to zero mean and unit variance to ensure the same level of magnitude for comparison between different experiments. Linear and second order polynomial trends have been removed to make the stick-slip confined in a given range and avoid non-stationary behavior. Time series data are not passed through filters (e.g., smoothing or moving average).</span></p> <p><span>Filename informs about the nature of the analog upper plate (i.e., foam and gel) and geometrical configuration of asperities (i.e., mono and twin). Together with individual files for each experiment, this dataset includes a Matlab script (i.e., all_timeseries.m) that allows visualization of displacement time series from individual target points. </span></p> <p><span>This dataset is supplementary to the paper in SEISMICA "Scaled seismotectonic models of megathrust seismic cycles through the lens of dynamical system theory” by Corbi et al. (2024), where detailed descriptions of models and experimental results can be found.</span></p>
Data for manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"
<p>Relevant data shown in figures of the manuscript "Evidence for large-scale climate forcing of dense shelf water variability in the Ross Sea"</p>
Dataset (Part II) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part II of the dataset (from sub-06 to sub-09).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Dataset (Part III) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part III of the dataset (sub-10). </strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part I) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-01 to sub-05) and <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) </p>
Dataset (Part I) accompanying the paper "In the brain of the beholder: bi-stable motion reveals mesoscopic-scale feedback modulation in V1"
<p><strong>This is Part I of the dataset (from sub-01 to sub-05).</strong> Due to size constraints, the remaining subjects can be found in the following records: <em>Dataset (Part II) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (from sub-06 to sub-09) and <em>Dataset (Part III) accompanying the paper 'In the Brain of the Beholder: Bi-Stable Motion Reveals Mesoscopic-Scale Feedback Modulation in V1'</em> (sub-10)</p>
Figure 43. Cycloid teleost scale, hypotype UCMP 270032 in Miocene marine macropaleontology of the fourth bore Caldecott Tunnel excavation, Berkeley Hills, Oakland, California, USA
Figure 43. Cycloid teleost scale, hypotype UCMP 270032.
Script and data from: The best of two worlds: toward large-scale monitoring of biodiversity combining metabarcoding and optimised parataxonomic validation.
<h2>Description</h2> <div> <p>Zenodo linked to : Penel, B., Meynard, C.N., Benoit, L., Bourdonné, A., Clamens, A., Soldati, L., Migeon, A., Chapuis, M.-P., Piry, S., Kergoat, G. and Haran, J. (2025), The best of two worlds: toward large-scale monitoring of biodiversity combining COI metabarcoding and optimized parataxonomic validation. Ecography, 2025: e07699. <a href="https://doi.org/10.1111/ecog.07699">https://doi.org/10.1111/ecog.07699</a></p> <div> <div> <div> <div> <p><strong>Publication abstract </strong></p> </div> </div> </div> <p>In a context of unprecedented insect decline, it is critical to have reliable monitoring tools to measure species diversity and their dynamic at large-scales. High-throughput DNA-based identification methods, and particularly metabarcoding, were proposed as an effective way to reach this aim. However, these identification methods are subject to multiple technical limitations, resulting in unavoidable false-positive and false-negative species detection. Moreover, metabarcoding does not allow a reliable estimation of species abundance in a given sample, which is key to document and detect population declines or range shifts at large scales. To overcome these obstacles, we propose here a Human-Assisted Molecular Identification (HAMI) approach, a framework based on a combination of metabarcoding and image-based parataxonomic validation of outputs and recording of abundance. We assessed the advantages of using HAMI over the exclusive use of a metabarcoding approach by examining 492 mixed beetle samples from a biodiversity monitoring initiative conducted throughout France. On average, 23% of the species are missed when relying exclusively on metabarcoding, this percent being consistently higher in species-rich samples. Importantly, on average, 20% of the species identified by molecular-only approaches correspond to false positives linked to cross-sample contaminations or mis-identified barcode sequences in databases. The combination of molecular methodologies and parataxonomic validation in HAMI significantly reduces the intrinsic biases of metabarcoding and recovers reliable abundance data. This approach also enables users to engage in a virtuous circle of database improvement through the identification of specimens associated with missing or incorrectly assigned barcodes. As such, HAMI fills an important gap in the toolbox available for fast and reliable biodiversity monitoring at large scales.</p> <div> <h4><strong>File description: </strong></h4> <h4>MiSeq raw sequences of the COI barcode from 492 Coleoptera field samples :</h4> <div>The Raw_sequencage_data ZIP directory contains the FASTQ files of the paired-end reads (R1: reads 1; R2: reads 2) produced for each Coleoptera field samples in duplicate using the MiSeq platform GenSeq (ISEM - University of Montpellier)</div> <div> </div> <div>The HAMI_data_script_results_R zip directory contains Rmarkdown script files (.Rmd and .html) and associated data used to analyse the systemic errors of the metabarcoding approach (N= 492 Coleoptera field samples).</div> <div> </div> <div>The HAMI_pipeline zip directory contains all the codes associated with the HAMI pipeline, as well as a ReadMe file and a test data set.</div> <div> </div> <div>The Residual_chimera.zip directory contains lists of MOTUs associated to residual chimeric sequences that were not filtered using FROGS pipeline but secondarily detected with the <em>de novo</em> approach implemented in HAMI pipeline with ‘isBimeraDenovo’ R function from DADA2 v1.28.0. It contains two distinct files according to the two sequencing runs.</div> <div> </div> <div>The NUMTS_filtered.zip directory contains lists of MOTUs that were excluded of the final dataset according to the NUMTS filtering. File xxx_pseudogene_f1_deteled.csv corresponds to MOTUs that were excluded according to the first filtrering step based on DNA sequencing. File xxx_pseudogene_f2_deteled.csv corresponds to merged MOTUs that were excluded according to the second filter based on occurrence and percentage of identity. This folder contains files for the two sequencing runs.</div> </div> </div> </div>
Data set: Evidence for the validity of the Attitudes toward Sexual Behaviours Scale (ASBS) with Canadian young people
Open the record for dataset details and reuse information.
quaqc: Efficient and quick ATAC-seq quality control and filtering at any scale
<p>This repository contains data and code necessary to replicate the analyses for the associated manuscript. Copies of the quaqc and quaqcr programs are also included.</p>
Dataset for Elastic Resource Scaling
<p>This project contains the data used in the conference paper entitled <a href="https://ieeexplore.ieee.org/document/10154358">V2N Service Scaling with Deep Reinforcement Learning</a>, which was presented at <a href="https://ieeexplore.ieee.org/servlet/opac?punumber=10574855">NOMS</a>.</p>
Computed data for the paper "Deciphering Faujasite Zeolite Dealumination at the Atomic Scale" by Z. Wang, T. Jarrin, [...], G. Pirngruber, C. Chizallet, A. Lesage, https://doi.org/10.1021/acscatal.4c03036
<p>The presented data correspond to NMR calculations done with the VASP code, for models of zeolite faujasite (bulk and external surfaces, possibly with defects), silica, and amorphous silica-alumina surfaces. For details on the format of the files, see https://www.vasp.at/wiki/index.php/The_VASP_Manual. </p> <p>The date correspond to the following paper: <span><em>ACS Catal.</em></span> <span>2024</span><span>, 14</span><span>, 24</span><span>, 18442–18456,</span> https://doi.org/10.1021/acscatal.4c03036 </p>
Regional-scale assessment of groundwater recharge and the water balance for Austria
<p><strong>Version 1.0 - This version is the final revised one. <br></strong></p> <p>This dataset accompanies the paper: Zeitfogel et al. (2025), Regional-scale assessmentof groundwater recharge and the water balance for Austria, published at Journal of Hydrology: Regional Studies.</p> <p>The dataset includes spatially distributed maps of groundwater recharge rates, precipitation, runoff, and actual evapotranspiration for Austria, resulting from an Austria-wide implementation of the rainfall-runoff model COSERO. By downloading these datasets, you acknowledge that neither the authors nor the providers of the source datasets can be held liable for the accuracy or completeness of the data.</p> <p>The model parameterization of soil information was based on regionalized soil hydraulic property maps.</p> <p>The basins_info file provides spatial information about the delinated model basins, the corresponding gauges, and the calibration stages. </p> <p>This study was funded by the Austrian Academy of Science (Project RechAUT), the Austrian Federal Ministry of Agriculture, Regions and Tourism (Project InfCapAT), and by the Austrian Climate Research Program (ACRP) - 14th call, under grant agreement No. KR21KB0K00001 (HyMELT-CC).</p>
Ab initio design of microbial communities from large-scale seed pools using deep learning and rapid ptimization
<h4>This repository contains the full results of our paper: <strong><em>Ab initio</em> design of microbial communities from large-scale seed pools using deep learning and rapid ptimization.</strong></h4> <p>Authors: Xiaoqing Jiang#, Jiaheng Hou#, Haoyu Zhang#, Jinyuan Guo, Shaohua Gu, Yulin Liao, Xinrun Yang, Peter X. Geng, Yiyan Zhou, Qian Guo, Chunhui Wang, Mo Li, Alexandre Jousset, Zhong Wei*, and Huaiqiu Zhu*</p> <p>The results including:</p> <p><strong>(1)</strong> <strong>GEM.tar.gz</strong>: The eBiota-GEM dataset, containing 21,514 Genome-Scale Metabolic Models (GEMs) constructed using CarveMe based on RefSeq complete genomes.</p> <p><strong>(2) Baterial_evaluation.tar.gz</strong>: The evaluation of the ability to uptake substrates and secret productions for all 21,514 GEMs.</p> <p><strong>(3) Community_results.tar.gz</strong>: The results calculated from eBiota-GEM includes various combinations for two-bacterial consortia, covering strain IDs, substrates, products, yields, dual-bacterial growth, single-bacterial growth, co-occurrence predictions, interactions and total production.</p> <p><strong>(4) DeepCooc_files.tar.gz</strong>: The parameter files of DeepCooc, required by eBiota platform.</p>
Scaling the high latitudes: evolution, diversification, and dispersal of Coryphella nudibranchs across the Northern Hemisphere
<p>Supplementary material for the paper </p> <p>Irina A. Ekimova, Dimitry M. Schepetov, Brenna Green, Maria V. Stanovova, Tatiana I. Antokhina, Terrence Gosliner, Manuel Antonio E. Malaquias, Ángel Valdés,<br>Scaling the high latitudes: evolution, diversification, and dispersal of Coryphella nudibranchs across the Northern Hemisphere,<br>Molecular Phylogenetics and Evolution, 2024, 108214,https://doi.org/10.1016/j.ympev.2024.108214</p> <p>Table S1. Specimens used in the present study with information on vouchers and GB accession numbers.</p> <p>Table S2. Best-fit models for each gene dataset and fragment length (bp)</p> <p>Table S3. Results of model test in ancestral area reconstruction analysis implemented in RASP</p> <p>Table S4. Distribution and ecological traits of <em>Coryphella</em> species.</p> <p>Table S5. Results of population analyses: pairwise Gst, Dst and Fst for <em>Coryphella verrucosa</em> populations.</p> <p>Table S6. Morphological traits of all currently accepted <em>Coryphella</em> species</p> <p>Data S1. Protocols for DNA extraction, amplification, sequencing</p> <p>Data S2. Unedited ML and BI concatenated trees, alignment without <em>Coryphella verta</em></p> <p>Data S3. Unedited ML and BI concatenated trees, alignment with <em>Coryphella verta</em></p> <p>Figure S1. Molecular phylogenetic hypothesis based on the Maximum Likelihood analysis, concatenated dataset of five markers (COI + 16S + H3 + 28S + 18S), the dataset includes tropical Atlantic <em>Coryphella verta</em>. Species-level clades and outgroups are collapsed to a single branch. Numbers above branches indicate posterior probabilities from Bayesian Inference, numbers below branches – bootstrap support from Maximum Likelihood.</p> <p>Figure S2. Molecular phylogenetic hypothesis based on the Maximum Likelihood analysis, concatenated dataset of four markers (COI + 16S + H3 + 28S). Numbers above branches bootstrap support from Maximum Likelihood.</p> <p>Figure S3. Molecular phylogenetic hypothesis based on the Bayesian Inference, concatenated dataset of four markers (COI + 16S + H3 + 28S). Numbers above branches indicate posterior probabilities from Bayesian Inference.</p> <p>Figure S4. Results of phylogeographic analysis of trans-Arctic <em>C. verrucosa</em> <em>(a)</em>, <em>C. nobilis</em> <em>(b)</em>, <em>C. amabilis / C. gracilis</em> <em>(c)</em>, based on the Coalescent approach from BEAST for the COI dataset using the tentative group-specific divergence rates of 6.1% My−1 for gastropods. Coding of each collection locality is given on the upper left, same localities were tested in the Ancestral area reconstruction analysis (AAR). For respective deep nodes the results of AAR are given, and divergent time estimates are displayed on respective nodes with error bars for node ages of 95% highest posterior density intervals. Colored dots in respective terminals indicate the collection locality for each specimen. Grey-shaded blocks indicate interglacial periods HOL (Holocene, Marine Isotope Stage 1 (M1)): 0-10 Kya, LIG (Last Intergracial, M5): 115-130 Kya, LBI (La Bouchet Interglacial (M7): 190-205 and 230-242 Kya, PI (Purfleet Interglacial, M9): 300-337 Kya, HI (Hoxonian Interglacial, M11): 374-424 Kya, M13 (Marine Isotope stage 13): 474-524 Kya. X-axis shows dating in Kya on A, B and in Mya on C.</p>
45 Block--63k or 50k scale Maps of South Asia--additional 1--20241007
<p>80 new map files to add to the set of 63k/50k Maps of South Asia, Block 45. An updated Index Map for Block 45 is included in this set of maps.</p>
41 Block--63k or 50k scale Maps of South Asia--additional 1--20241007
<p>32 new map files to add to the set of 63k/50k Maps of South Asia, Block 41. An updated Index Map for Block 41 is included in this set of maps.</p>
49 Block--63k or 50k scale Maps of South Asia
<p>18 maps of the Survey of India covering block 49.</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.