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9,882 results for “Scale”
FIG. 6 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 6. — Plesiacanthops tuberculata (Saussure, 1870), juvénile. Photo S. Hugel.
FIG. 5 in Les mantes (Dictyoptera, Mantodea) du massif du Mitaraka (Guyane), in Touroult J. (ed.), "Our Planet Reviewed" 2015 large-scale biotic survey in Mitaraka, French Guiana.
FIG. 5. — Paratithrone royi Lombardo, 1996, femelle. Photos S. Hugel.
IMPREX - TUC - Local scale seasonal hydrological and drought indices forecasts
<p>The compressed files are seasonal forecasts of discharge based on ECMWF System4 (1981-2003) and GLOSEA5 (1996-2003) for the Koutsoulidis catchment, Crete, Greece. The location of the Koutsoulidis catchment as well as the methodology of data development and validation are described in the open access publication by Grillakis et al., 2018 (<a href="https://www.mdpi.com/2073-4441/10/11/1593">https://www.mdpi.com/2073-4441/10/11/1593</a>). Seasonal forecasts of Standardized Precipitation Index (SPI) based on ECMWF System4 (1981-2009) and GLOSEA5 (1996-2009) for the Messara catchment are also included. A description of the study site and methodology is included in the poster attached in the compressed file (EGU201712072-Koutroulis).</p>
Supporting dataset underlying "Human cortical folding across regions within individual brains follows universal scaling law"
<p>This is the dataset underlying "Human cortical folding across regions within individual brains follows universal scaling law", the matlab scripts enable the user to direct reproduce the figures in the paper.</p> <p>2020 update: The matlab code for extraction of lobe-wise measures from Freesurfer subjects is now published on <a href="https://doi.org/10.5281/zenodo.3608675">Zenodo</a> and <a href="https://github.com/cnnp-lab/CorticalFoldingAnalysisTools">Github</a>.</p>
Large-scale purification of HTT domain constructs 2019/04/01
<p><strong>Project: </strong>High resolution structural analysis of purified HTT samples</p> <p><strong>Experiment: </strong>Large-scale purification of HTT domain constructs</p> <p><strong>Date completed:­ </strong>2019/04/01</p> <p><strong>Rationale: </strong>Domain fragments of the huntingtin protein are useful reagents for examining protein-protein interaction characteristics of huntingtin and to map interaction interfaces. Stable, monodisperse and pure samples may also be amenable to high resolution structure solution by X-ray crystallography. Previously huntingtin fragments were cloned and screened for expression in small-scale (3 mL) culture experiments. Positive hits were scaled for production as detailed in the table on the next page. All previous work is described in this post:<a href="https://zenodo.org/record/2600051#.XKU89aeZPOQ">https://zenodo.org/record/2600051#.XKU89aeZPOQ</a>.</p>
Thermal regimes, but not mean temperatures, drive patterns of rapid climate adaptation at a continent-scale: evidence from the introduced European earwig across North America
<p>Full data set + R script</p>
Data used in manuscript Spatial modelling of local-scale biogenic and anthropogenic carbon dioxide emissions in Helsinki
<p>This data set includes data used to develop and evaluate carbon dioxide emission modelling component in the Surface Urban Energy and Water balance Scheme (SUEWS). The data files are:</p> <ol> <li>CO2_Model_Parameter_Fitting.zip contains m-files (Matlab) used to calculate parameters for photosynthesis modelling <ul> <li>F_pho_data.mat includes meteorological and EC data used to fit photosynthesis model parameters in Kumpula</li> <li>FitKumpulaData.m calculates the model parameters in Kumpula</li> <li>FitViikkiData.m calculates the model parameters in Viikki</li> <li>Other m-files needed by the above two codes</li> </ul> </li> <li>Data.zip contains measured data used to develop and evaluate SUEWS <ul> <li>KumpulaData2012.txt and TorniData2012.txt include eddy covariance data measured at the two sites in Helsinki</li> <li>SMEARIII_meteorology_2016MM_30.m meteorological data used to fit model parameters in Viikki street trees (see 00 ReadMe_SMEARIII_Meteorology.TXT for details)</li> <li>Viikki_SWC_2016.txt measured soil moisture from Viikki in 2016</li> <li>Kumpula_2016_HH_RLAI6_Output.out is SPP output used to fit model parameters in Viikki street trees</li> </ul> </li> <li>SUEWS_EC_Site_Model_runs: SUEWS input and output files for Kumpula and Torni model runs</li> <li>SpatialRun_input.zip: SUEWS input files for the spatial model run</li> <li>spatmatHel_final.mat: SUEWS output files for spatial model run in mat-format</li> </ol>
Large-scale stringent purification of HTT-HAP40 using heparin affinity chromatography 2019/05/12
<p><strong>Project: </strong>Biophysical investigation of purified HTT protein samples</p> <p><strong>Experiment: </strong>Large-scale stringent purification of HTT-HAP40 using heparin affinity chromatography</p> <p><strong>Date completed:­ </strong>2019/05/12</p> <p><strong>Rationale: </strong>Previous attempts to generate a much purer and homogenous HTT-HAP40 sample showed that the complex can bind heparin resin. In small-scale experiment, I also incorporated helpful suggestions from scientists at the CHDI Palm Springs meeting full-length HTT research breakout group i.e. ATP wash to remove HSP proteins. The experiment included 3 affinity chromatography steps with FLAG, heparin and NiNTA resin and finally a gel filtration step and yielded a highly pure HTT-HAP40 sample: <a href="https://zenodo.org/record/2628064">https://zenodo.org/record/2628064</a>. </p>
Large-scale stringent purification of Q23 HTT and HTT-HAP40 using heparin affinity chromatography 2019/05/22
<p><strong>Project: </strong>Biophysical investigation of purified HTT protein samples</p> <p><strong>Experiment: </strong>Large-scale stringent purification of Q23 HTT and HTT-HAP40 using heparin affinity chromatography</p> <p><strong>Date completed:­ </strong>2019/05/22</p> <p><strong>Rationale: </strong>Previous attempts to generate a much purer and homogenous HTT-HAP40 sample showed that the complex can bind heparin resin. In small-scale experiment, I also incorporated helpful suggestions from scientists at the CHDI Palm Springs meeting full-length HTT research breakout group i.e. ATP wash to remove HSP proteins. The experiment included 3 affinity chromatography steps with FLAG, heparin and NiNTA resin and finally a gel filtration step and yielded a highly pure HTT-HAP40 sample: https://zenodo.org/record/3234174.I now want to try this purification with apo HTT. </p>
Data set for: Nano-scale magnetic skyrmions and target states in confined geometries
<p>This data set contains the libraries and scripts to completely reproduce the simulations of the publication <em>"Nanoscale magnetic skyrmions and target states in confined geometries</em>". These simulations are based on the Fidimag code [1] which can perform discrete spin simulations.</p> <p> </p> <p>The latest version of this data set can be found at:</p> <p><a href="https://github.com/davidcortesortuno/paper-2019_nanoscale_skyrmions_target_states_confined_geometries">https://github.com/davidcortesortuno/paper-2019_nanoscale_skyrmions_target_states_confined_geometries</a></p> <p> </p> <p>[1] Bisotti, M.-A. et al., (2018). Fidimag – A Finite Difference Atomistic and Micromagnetic Simulation Package. Journal of Open Research Software. 6(1), p.22.</p>
figure above by Tracy Lee Ford, view of left side of reconstructed skull; scale bar = 10 cm in The origin and evolution of the Tyrannosaurids, Part 1
figure above by Tracy Lee Ford, view of left side of reconstructed skull; scale bar = 10 cm
WASHTREET. Runoff velocity data using different Particle Image Velocimetry (PIV) techniques in a full scale urban drainage physical model
<p><strong>WASHTREET - Runoff velocity data using different Particle Image Velocimetry (PIV) techniques in a full scale urban drainage physical model.</strong></p> <p>This dataset contains raw data and runoff velocities results obtained using seeded and unseeded Particle Image Velocimetry (PIV) techniques in an urban drainage physical model, which is placed in the Hydraulic Laboratory of the Centre for Technological Innovation in Construction and Civil Engineering (CITEEC) at the University of A Coruña (Spain). The objective of this work is to obtain an accurate representation of the surface velocity distribution as part of the <a href="https://zenodo.org/communities/washtreet">WASHTREET project</a>, where a series of high-resolution experiments were performed measuring urban surface wash-off and sediment transport through gully pots and pipes under laboratory-controlled conditions. The experimental facility is a 36 m<sup>2</sup> full-scale street section and consists of a rainfall simulator placed over a concrete street surface with two gully pots that drain runoff into an underground pipe system. The dataset was used in the work developed in Naves et al. (2019) (DOI: <a href="https://doi.org/10.1016/j.jhydrol.2019.05.003">https://doi.org/10.1016/j.jhydrol.2019.05.003</a>).</p> <p>A detailed description of experimental setup, procedure, postprocessing and results can be consulted in ‘<em>1_TestsDescription.pdf’. </em>4K resolution and 25 fps raw videos from which frames are extracted for the PIV analysis are provided for each experiment performed in separated zip files (named as <em>‘2.</em>(test ID)<em>_RawVideos_</em>(configuration)<em>.zip’</em>). Experiments includes three different steady rainfalls of 30, 50 and 80 mm/h of rain intensity and were recorded with and without added fluorescent traces. Data to orthorectify frames from videos are provided in ‘<em>3_SpatialCalibration.zip</em>’. In addition, 60 seconds of steady conditions are extracted for each test and the frames are processed to obtain velocities from a PIV analysis. ‘<em>4_ProcessedFrames_SteadyFlow.zip’ </em>includes the 1500 rectified and processed frames for each experiment to perform the PIV analysis. Results of runoff velocity distributions are included in ‘<em>5_VelocityResults.zip’</em>.</p> <p>Further details of the rainfall simulator, physical model geometry and more hydraulic and sediment transport results can be consulted in <a href="http://doi.org/10.5281/zenodo.3233918"><em>WASHTREET hydraulic, wash-off and sediment transport experimental data</em></a>. In addition, data regarding the use of photogrammetry to obtain the elevation map of this physical model is included in <a href="http://www.doi.org/10.5281/zenodo.3241337">WASHTREET Structure from Motion data</a>.</p> <p>The WASHTREET project is being developed in the scope of the PhD thesis of the first author, which is in receipt of a Spanish Ministry of Science, Innovation and Universities predoctoral grant [FPU14/01778]. The project also receive funding from the Spanish Ministry of Science, Innovation and Universities under POREDRAIN project RTI2018-094217-B-C33 (MINECO/FEDER-EU)</p> <p>Derived publications:</p> <ul> <li>Naves, J., Anta, J., Puertas, J., Regueiro-Picallo, M., & Suárez, J. (2019). Using a 2D shallow water model to assess Large-Scale Particle Image Velocimetry (LSPIV) and Structure from Motion (SfM) techniques in a street-scale urban drainage physical model. <em>Journal of Hydrology</em>, <em>575</em>, 54-65. <a href="https://doi.org/10.1016/j.jhydrol.2019.05.003">https://doi.org/10.1016/j.jhydrol.2019.05.003</a></li> <li>Naves, J., Anta, J., Suárez, J., & Puertas, J. (2020). Hydraulic, wash-off and sediment transport experiments in a full-scale urban drainage physical model. <em>Scientific Data</em>, <em>7</em>(1), 1-13. <a href="https://doi.org/10.1038/s41597-020-0384-z">https://doi.org/10.1038/s41597-020-0384-z</a></li> <li>Naves, J., García, J. T., Puertas, J., & Anta, J. (2021). Assessing different imaging velocimetry techniques to measure shallow runoff velocities during rain events using an urban drainage physical model. <em>Hydrology and Earth System Sciences</em>, <em>25</em>(2), 885-900. <a href="https://doi.org/10.5194/hess-25-885-2021">https://doi.org/10.5194/hess-25-885-2021</a> </li> </ul>
Field-scale rainfall-runoff experiments data
<p>This repository holds the data required to reproduce results in “Estimation of field-scale variability in soil saturated hydraulic conductivity from rainfall-runoff experiments” by Goyal et al. (2019). The data includes the experimental observations from 16 rainfall events near the University of Perugia, Italy, in the autumn/winter conditions of 2013/2014. Each text file includes:</p> <ul> <li>Event date</li> <li>Rainfall observations at 30-minute intervals</li> <li>Runoff observations at 30-minute intervals</li> <li>The average value of the initial moisture content in the study plot</li> <li>The soil-water potential at the wetting front</li> </ul> <p> </p> <p>Additional details about the experiments are provided in Flammini et al. (2018).</p> <p>Use of this data should be acknowledged appropriately.</p> <p> </p> <p><strong>References:</strong></p> <p>Goyal, A., Morbidelli, R., Flammini, A., Corradini, C., & Govindaraju, R. S. (2019). Estimation of field‐scale variability in soil saturated hydraulic conductivity from rainfall‐runoff experiments. <em>Water Resources Research</em>, 55, 7902-7915. <a href="https://doi.org/10.1029/2019WR025213">https://doi.org/10.1029/2019WR025213</a></p> <p>Flammini, A., Morbidelli, R., Saltalippi, C., Picciafuoco, T., Corradini, C., & Govindaraju, R. S. (2018). Reassessment of a semi-analytical field-scale infiltration model through experiments under natural rainfall events. <em>Journal of Hydrology</em>, 565(August), 835–845. <a href="https://doi.org/10.1016/j.jhydrol.2018.08.073">https://doi.org/10.1016/j.jhydrol.2018.08.073</a></p>
Text-fig. 1—Snout and jaws of the Jordan theropod (LACM 28471). Scale is 3 cm. in A new Theropod Dinosaur from the Upper Cretaceous of Central Montana
Text-fig. 1—Snout and jaws of the Jordan theropod (LACM 28471). Scale is 3 cm.
Biomass encounter rates limit the size scaling of feeding interactions: trial data
<p>Experimental trial data for the publication: Biomass encounter rates limit the size scaling of feeding interactions.</p>
Raw data on the validation of the Polish language version of THE BRIEF HEPATITIS C KNOWLEDGE SCALE
<p>Raw data on the validation of the Polish language version of THE BRIEF HEPATITIS C KNOWLEDGE SCALE.</p>
Agriculture erases climate constraints on soil nematode communities across large spatial scales
<p>Data supporting "Agriculture erases climate constraints on soil nematode communities across large spatial scales".</p>
Macro-scale analysis of biodiversity-ecosystem functioning relationships in lakes (github repository)
<p>National Lakes Assessment biodiversity-ecosystem functioning relationships across the continental United States. This is an archived version of a github repository, containing data and R code. The repository can also be found online https://github.com/cont-limno/NLA-Diversity-.</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>
Selected data from "Small-scale universality in the spectral structure of transitional pipe flows"
<p>Data from Figure 4 and Figure 6 of "Small-scale universality in the spectral structure of transitional pipe flows", Science Advances (2019). Included are spatial spectra normalized with the Kolmogorov scale and viscosity. The collapse of the normalized spectra is indicative of the small-scale universality predicted by Kolmogorov. The data are taken from turbulent and transitional pipe flows at different Re and different positions from the wall from both experiments and simulations (experiments are at the centerline only).</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.