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.
2,271
datasets available to search
ShareScore release 0.9.0
Dataset results
2,271 results for “transporte”
AP-4-mediated axonal transport controls endocannabinoid production in neurons - Imaging data 1
<p>Imaging data from the article "AP-4-mediated axonal transport controls endocannabinoid production in neurons", published in Nature Communications by Davies et al., from Fig. 2, 3, 4, 6 and S2.</p> <p>Widefield images were captured on a Leica DMi8 inverted microscope equipped with an iTK LMT200 motorised stage, a 63x/1.47 oil objective (HC PL APO 63x/1.47 OIL) and a Leica DFC9000 GTC Camera, and controlled with LAS X (Leica Application Software X).</p> <p>HeLa_HADAGL_RUSC2_Fig_4: Widefield imaging of wild-type HeLa and HeLa cells stably expressing GFP-RUSC2, transiently expressing HA-DAGLB or HA-DAGLA, and labelled with anti-HA (Alexa Fluor 680), anti-ATG9A (Alexa Fluor 568) and DAPI.</p> <p>HeLa_KD_DAGLB_TGN_Fig_S2a,b: Widefield imaging of immunofluorescence double labelling of DAGLB (Alexa Fluor 568) and TGN46 (Alexa Fluor 680) in HeLa cells transfected with a non-targeting siRNA (control) or with siRNA to knock down AP-4. DAPI labelling of the nucleus is also shown. Note, the antibody used to label AP4E1 (Alexa Fluor 488) in replicate 1 had high non-specific background and so was not used in the analysis.</p> <p>HeLa_KO_DAGLB_TGN_Fig_2a,b: Widefield imaging of immunofluorescence double labelling of DAGLB (Alexa Fluor 568) and TGN46 (Alexa Fluor 680) in wild-type, AP4B1 knockout, and AP4B1 knockout HeLa cells stably expressing AP4B1 (functional rescue). DAPI labelling of the nucleus is also shown.</p> <p>HeLa_RUSC2_DAGLB_Fig_3: Widefield imaging of DAGLB (Alexa Fluor 568) labelling in wild-type and AP-4 knockout (AP4B1 KO or AP4E1 KO) HeLa cells, stably expressing GFP-tagged RUSC2. AP4B1 knockout HeLa expressing RUSC2-GFP were also transiently transfected with AP4B1 (rescue) or mock transfected without DNA as a negative control. DAPI labelling of the nucleus is also shown.</p> <p>iPSC_Neurons_DAGLB_TGN_Fig_6a,b: Widefield imaging of immunofluorescence triple labelling of DAGLB (Alexa Fluor 568), TGN46 (Alexa Fluor 680) and TUJ1 (Alexa Fluor 488; a marker to distinguish neurons from co-cultured astrocytes) in iPSC neurons from a patient with AP-4 deficiency syndrome (patient 1) and their matched control.</p> <p>SHSY5Y_DAGLB_TGN_Fig_2c,d_Fig_S2c,d: Widefield imaging of immunofluorescence double labelling of DAGLB (Alexa Fluor 568) and TGN46 (Alexa Fluor 680) in control (parental Cas9-expressing), AP4B1-depleted (BKO) and AP4E1-depleted (EKO) undifferentiated and neuronally-differentiated SH-SY5Y cells. DAPI labelling of the nucleus is also shown.</p> <p>See article for methods and further detail.</p>
Maritime entities of geographic transportation network of Acclimate
<p>maritime_entities.csv: Centroids of maritime entities and coordination of ports used by geographic transportation network of Acclimate</p> <p>XYZ_coordinates.csv: Polygon coordinates of maritime entites XYZ of the East Asian maritime trading route. Used to compute time tropical cyclone passed by based on observed trajectories from IBTrACS [http://ibtracs.unca.edu/]</p>
A closer look: High-resolution pore-scale simulations of solute transport and mixing through porous media columns
<p>This dataset contains the results of fluid flow (Navier-Stokes) and solute transport (Advection-Diffusion) simulations within columns of granular media generated by virtual gravitational settling of spherical grains. The experiments comprise three media with different degrees of grain-size variability; a range of grain-Peclet numbers is explored. See the homonymous research paper by Sole-Mari et al. (2022, Water Resources Research) for more information.</p> <p>Grains.zip: Positions and radii of the spherical grains for each value of grain-size variability sigma (Matlab's .mat format).</p> <p>ResultsCoarse.zip: Coarse-scale data presented in the aforementioned WRR paper (Matlab's .mat format).</p> <p>Link to the full micro-scale dataset: (soon available)</p> <p>We thankfully acknowledge the computer resources at MareNostrum and the technical support provided by the Barcelona Supercomputing Center (AECT-2019-3-0014).</p> <p> </p>
Figures 7–8. Aporus hirsutus prey transport. 7 in Nesting behavior, ecology, and functional morphology of the trapdoor spider-hunting spider wasp Aporus (Plectraporus) hirsutus (Banks) (Hymenoptera: Pompilidae)
Figures 7–8. Aporus hirsutus prey transport. 7) Aporus hirsutus female dragging Aptostichus simus juvenile backwards across sand, grasping end of its right foreleg with her mandibles. Sandy coastal back dunes, Santa Barbara County, CA; 17 June 2015; A. Abela. Photograph © Alice Abela. 8) Aporus hirsutus female dragging Aptostichus simus juvenile backwards across sand, grasping tibia of its 2nd left leg with her mandibles. The wasp's wings are folded on her dorsum, sandy coastal back dunes, Santa Barbara County, CA; 17 June 2015; A. Abela. Photograph © Alice Abela.
A semi-analytical solution for heat transport in rock with parallel fractures and a heat source in both fracture and matrix
<p>In this study, we propose a two-dimensional semi-analytical solution framework based on a Green’s function approach for a flexible heat source definition, including source dimensions, energy delivery strength and duration, and the presence of a heat source in the matrix and/or fracture. The solution fully accounts for heat conduction, advection, dispersion and transient heat exchange between the mobile and immobile phases in a system of parallel fractures. The solution having a strip heat source extending from a fracture into the matrix indicates that one-dimensional heat conduction in the matrix underestimates and overestimates temperature responses at early and later times, respectively.</p> <p>The dataset is for the figures 2-7 in the journal paper. </p>
Supporting Data for Drift Phase Structure Implications for Radiation Belt Transport by T.P. O'Brien et al. submitted to J. Geophysical Res.
<p>Datasets used in Drift Phase Structure Implications for Radiation Belt Transport by T.P. O'Brien et al. submitted to J. Geophysical Res.</p>
Sea urchin transport data
<p>These data sets are from a series of transport trials conducted on the sea urchin <em>Strongylocentrotus droebachiensis</em></p>
Raw data for: "Vesicular Acetylcholine Transporter Alters Cholinergic Tone and Synaptic Plasticity in DYT1 Dystonia"
<p>Raw data for Supplemental Figure 2 - Patch-Clamp recordings of ChI firing activity after bath application of donepezil (Donep 50 μM, 5 minutes). The inhibition by donepezil was weaker in Tor1a+/− than in Tor1a+/+ neurons.</p>
Fluid Transport and Storage in the Cascadia Forearc inferred from Magnetotelluric Data
<p>The 3D electrical resistivity model derived from magnetotelluric data inversion. The model file is in netCDF format, which can be viewed using any standard netCDF plotting tools (e.g. <a href="https://www.giss.nasa.gov/tools/panoply/">Panoply</a>).</p>
Overview of PASTA Questionnaires: Physical Activity through Sustainable Transport Approaches (PASTA): protocol for a multi-centre, longitudinal study
<p>Overview of questionnaires used in the PASTA project (Physical Activity through Sustainable Transport Approaches (PASTA))</p> <p>English version</p>
UF & UAB's Phase 2 Demonstration Study: Developing a Model to Support Transportation System Decisions considering the Experiences of Drivers of all Age Groups with Autonomous Vehicle Technology (Project A3)
<p>Enclosed you will find the data collected during our STRIDE Phase II research project (A3) and a data dictionary.</p>
Analysis of regional CO2 contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ13C
<p>The data set complementary to manuscript "Analysis of regional CO<sub>2</sub> contributions at the high Alpine observatory Jungfraujoch by means of atmospheric transport simulations and δ<sup>13</sup>C" in <em>Atmospheric Chemistry and Physics</em> (<a href="https://acp.copernicus.org">https://acp.copernicus.org</a>).</p>
Model output data and code for Zhang et al., Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality
<p>Model output data and code for "Zhang et al., Cross-cutting scenarios and strategies for designing decarbonization pathways in the transport sector toward carbon neutrality" in Nature Communications.</p>
Extracted opinions from the French National Great Debate (Grand Débat National) about transport and socio-economic description of municipalities participating to the debate
<p>This data set contains :</p> <p>- motifs_with_geom.json : extracted propositions from the answers to the online public consultation related to the French National Great Debate (Grand Débat National) which took place in 2019. The propositions consist of automatically extracted patterns. The propositions are related to transport. Extracted propositions are also georeferenced by postal codes and associated coordinates (WGS 84).</p> <p>- communes_with_all_data.geojson : socio-economic features which describes municipalities in France (mainland + overseas territories). These data are also georeferenced by postal codes and associated coordinates (WGS 84). data_geo.zip are the source files to build this file. The features are described in data_cadrage_meta.csv</p> <p>- motifsxcommunes_without_geom.csv : joined file of extracted propositions and socio-economic features of municipalities, without coordinates. These data are used to performed statistic analysis.</p> <p>- transportonto4.owl : ontology describing transport in French, used to extract propositions related to transport.</p>
Transporte
<p>Este conjunto de datos incluye un directorio con los datos de los <strong>Transportes</strong> de Zaragoza, incluyendo las estaciones de autobús, de tren y el aeropuerto.</p> <p>El Ayuntamiento de Zaragoza pone a disposición una visualización en la que se muestran datos sobre Transporte. El conjunto de datos contiene información de localización (dirección, código postal, latitud y longitud), contacto (email y teléfono) , horario y url a la web de cada centro.</p> <p><a href="https://www.zaragoza.es/sede/servicio/catalogo/2682">Acceso a la ficha descriptiva del dataset</a></p>
Supporting data for the article "Charge-Induced Artifacts in Nonlocal Spin-Transport Measurements: How to Prevent Spurious Voltage Signals"
<p>Supporting data for the article "Charge-Induced Artifacts in Nonlocal Spin-Transport Measurements: How to Prevent Spurious Voltage Signals"</p> <p>If the design files are used to reproduce the current source, we ask to cite the peer-reviewed publication of our work in any publication in which the adjustable virtual ground feature is used for measurements.</p> <p>We provide the following data and design files:</p> <p>1.) Data used to create each figure both in the main manuscript and the supplementary material in the zip-folder "Data presented in figures".<br> The data is provided in two formats:<br> I.) Raw data in freely accessible file formats such as .dat, .txt, or .csv.<br> II.) Graphically processed data (figures as shown in the publication) in the proprietary file format .opju. Used program: OriginPro 2019</p> <p>2.) LTspice models in the zip-folder "LTspice models". The simulations were conducted with LTspice version XVII(x64).</p> <p>3.) Altium Designer files of the current source in the zip-folder "Altium Designer files".</p> <p>4.) Gerber X2 and NC drill files (dimensions in millimeters) for the manufacturing of the PCB that is used in our project in the zip-folder "Fabrication files". See the readme file in the directory for more information on the fabrication process.</p> <p>5.) A bill of materials.</p>
GENeSYS-MOD Transport Sensitivities: Data and model code for Hainsch (preprint): Identifying policy areas for the transition of the transportation sector
<p>This dataset contains all GENeSYS-MOD input data for Hainsch (preprint): Identifying policy areas for the transition of the transportation sector. doi: 10.5281/zenodo.6919452.</p> <p>With the input data files and the GAMS files, the model results presented in the preprint can be replicated.</p> <p>Furthermore, the output folder contains the result files for the base case and all sensitivities as well as the Tableau files which were used to generate the result figures.</p>
The Tracing Convective Momentum Transport in Complex Cloudy Atmospheres Experiment - Level 2
<p>The first field campaign from the Tracing Convective Momentum Transport in Complex Cloudy Atmospheres experiment project (CMTRACE) took place in Cabauw, the Netherlands, between September 13th and October 3rd 2021. During this field campaign, two cloud radars and one wind lidar were operated with a similar scanning strategy for deriving wind speed and direction profiles from near the surface up to cloud tops. Here we provide the daily Level 2 data from the campaign. At this level, several processing steps were applied to the Level 1 data from each instrument to minimize the differences between the sampled volumes resampled and temporal and spatial resolution to generate merged profiles of wind speed and direction. The raw dataset is available for the users on request from the corresponding author.</p>
Supporting Data: Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport
<p>Additional material for the paper:</p> <p>Victor von Loessl, Eva Weingärtner & Sonja Zitzelsberger (2022) Do spatial climate messages increase pro-environmental engagement? Evidence from a survey experiment on public transport, Journal of Environmental Economics and Policy, DOI: 10.1080/21606544.2022.2097960</p>
Aeolian saltation fieldwork: values for size-selective transport measurements
<p>This excel spreadsheet (‘SizeSelectiveTransport.xlsx’) contains the following information on surface and airborne particle size distributions (PSDs) for size-selective saltation transport analyses at our six field sites (Jericoacoara, Rancho Guadalupe, Oceano N1, Oceano S1, Oceano N2, Oceano S2):</p> <ul> <li><strong>“d_lower_mm”</strong> – Lower limit diameter for each particle size bin [mm].</li> <li><strong>“d_mid_mm”</strong> – Midpoint diameter for each particle size bin [mm].</li> <li><strong>“d_upper_mm”</strong> – Upper limit diameter for each particle size bin [mm].</li> <li><strong>“dVdlnd_bed”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for surface samples, <span class="math-tex">\(\frac{dV_{bed}}{d\ln(d)}\)</span>.</li> </ul> <p>The field measurements from which these values were calculated are described in Martin and Kok (2017).</p> <ul> <li><strong>“dVdlnd_air”</strong> – Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, <span class="math-tex">\(\frac{dV_{air}}{d\ln(d)}\)</span>.</li> <li>Site-averaged non-dimensionalized volume fraction in each size bin for airborne samples, conditioned on each non-dimensionalized shear stress range, <span class="math-tex">\(\frac{dV_{air}}{d\ln(d)}|_{\tau/\tau_{it}}\)</span>. Cases in which a PSD is lacking for a shear stress range are marked as “NaN”: <ul> <li><strong>“dVdlnd_air_taunorm_below_10”</strong> – for <span class="math-tex">\(\tau/\tau_{it} \leq 1.0\)</span></li> <li><strong>“dVdlnd_air_taunorm_10_15”</strong> – for <span class="math-tex">\(1.0 < \tau/\tau_{it} \leq 1.5\)</span></li> <li><strong>“dVdlnd_air_taunorm_15_22</strong>” – for <span class="math-tex">\(1.5 < \tau/\tau_{it} \leq 2.2\)</span></li> <li><strong>“dVdlnd_air_taunorm_22_30”</strong> – for <span class="math-tex">\(2.2 < \tau/\tau_{it} \leq 3.0\)</span></li> <li><strong>“dVdlnd_air_taunorm_30_40”</strong> – for <span class="math-tex">\(3.0 < \tau/\tau_{it} \leq 4.0\)</span></li> </ul> </li> <li><strong>“f_bed”</strong> – Fraction of bed surface particles in size bin <em>i</em>, <span class="math-tex">\(f_{bed,i}\)</span>. Fraction is computed only for bins with particle diameter <em>d</em> > 1.3 mm. Bins below this value are marked as “NaN”.</li> <li><strong>“f_air_bar”</strong> – Mean fraction of airborne particles in size bin <em>i</em>, <span class="math-tex">\(\langle f_{air,i} \rangle\)</span>. Fraction is computed only for bins with particle diameter <em>d </em>> 1.3 mm. Bins below this value are marked as “NaN”.</li> <li><strong>“f_air_sigma”</strong> – Uncertainty on mean fraction of airborne particles in size bin <em>i</em>, <span class="math-tex">\(\sigma_{\langle f_{air,i} \rangle}\)</span>. “NaN” values correspond to undefined values for f_air_bar.</li> </ul> <p>The Matlab file (‘GrainSizeData.mat’) includes further raw data, including number-based size distributions for individual samples.</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.