Find research datasets worth reusing

opencc-by-4.0Jul 2024View details →

Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features

This dataset supports the study titled "Machine Learning Framework for High-Resolution Air Temperature Downscaling Using LiDAR-Derived Urban Morphological Features", published in Urban Climate (<a href="https://doi.org/10.1016/j.uclim.2024.102102" target="_new" rel="noopener">DOI: 10.1016/j.uclim.2024.102102</a>).   Content Overview: <ul> <li> Building Label Data for Footprint Detection: <ul> <li>Amsterdam_BDG_Label.rar</li> <li>MiamiDade_BDG_Label.rar</li> </ul> These are the label datasets used for training the building detection segmentation models. They have been instrumental in accurately detecting building footprints in Amsterdam. </li> <li> Amsterdam_3D_Buildings.rar:  CityGML file of 3D building models for Amsterdam, derived from LiDAR data and U-Net3+ model. </li> </ul> <ul> <li> Morphological Features.rar: Contains urban morphological features (in raster format) extracted from LiDAR data used in the study. </li> <li> Training and Test Data for Air Temperature Estimation: <ul> <li>Train_Test_AvgTemp_Amsterdam.rar</li> <li>Train_Test_MaxTemp_Amsterdam.rar</li> <li>Train_Test_MinTemp_Amsterdam.rar</li> </ul> This dataset includes training and testing data for estimating air temperatures in three scenarios: average daily temperature, minimum daily temperature, and maximum daily temperature for the city of Amsterdam. </li> </ul>

opencc-by-4.0Aug 2024View details →

Datasets supporting the paper 'City-scale high-resolution flood models and the role of topographic data: a case study of Kathmandu, Nepal.'

########################################################### Datasets supporting the publication: Watson, C.S., Gyawali, J., Creed, M., and Elliott, J.R. City-scale high-resolution flood models and the role of topographic data: a case study of Kathmandu, Nepal. Geocarto International. DOI: <a href="https://doi.org/10.1080/10106049.2024.2387073">https://doi.org/10.1080/10106049.2024.2387073</a> -Please refer to the publication for details on the production of each dataset. -Please cite the publication and this dataset repository when using the data. ########################################################### Contents: Stream centrelines: streams_fabdem.gpkg streams_GLO30.gpkg streams_kh9_1974.gpkg streams_merit.gpkg streams_merit_hydro.gpkg streams_pleiades.gpkg streams_reference.gpkg Flood maps: fastflood_1in100year_flood_depth_metres.tif flood_depth_difference__fastflood_Shrestha_et_al_2023_metres.gpkg Height_above_channel_metres.tif 1974 Orthoimage: KH9_1974_orthoimage_DZB1209_500101L007001_DZB1209_500101L008001.tif

opencc-by-4.0Mar 2024View details →

Multi-year high time resolution measurements of fine PM at 13 sites of the French Operational Network (CARA program)

These datasets correspond to long-term measurements of atmospheric aerosol components from Aerosol Chemical Speciation Monitor (ACSM) and multi-wavelength Aethalometer (AE33) instruments collected between 2015 and 2021 at 13 (sub)urban sites as part of the French CARA program.  The datasets contain the mass concentrations of major chemical species within PM1, namely organic aerosols (OA), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl-), and equivalent black carbon (eBC).  Rigorous quality control, technical validation, and environmental evaluation processes were applied, adhering to both the guidance from the French reference laboratory for air quality monitoring and the Aerosol, Clouds, and Trace gases Research Infrastructure (ACTRIS) standard operating procedures. These data are discussed in an article in submission, please cite it when using the data.

Aladdin: High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI

The uploaded files include high-resolution 3D images of the left atrium from 18 individuals—10 healthy volunteers and 8 patients with various cardiovascular diseases—along with their corresponding left atrium segmentation maps. Additionally, a deformation atlas based on the 10 healthy cases is also provided. For more information, visit: <a href="https://github.com/cgalaz01/aladdin_cmr_la" target="_new" rel="noopener">https://github.com/cgalaz01/aladdin_cmr_la</a>

opencc-zeroJul 2024View details →

Transwell-Based Microfluidic Platform for High-Resolution Imaging of Airway Tissues

<div> <div> <div> <div> This dataset contains original data collected during our study on the development and characterization of a transwell-based microfluidic platform designed for high-resolution imaging of airway tissues. It includes quantitative measurements of various features of live airway epithelium tissues, such as Trans-Epithelial Electrical Resistance (TEER), Cilia Beating Frequency (CBF), LDH Release (a cytotoxicity assay), tissue thickness, and cell number. Additionally, the dataset provides results from computational simulations modeling the shear stress in the microchannel generated by perfusion. </div> </div> </div> </div>

Collapse of a freestanding rock pillar at Matterhorn Hörnligrat: daily high-resolution images show kinematic precursor

Animated time series of manually selected pictures highlights the visible displacement of a freestanding rock pillar at Matterhorn Hörnligrat two weeks prior the collapse. Data used are available under https://doi.pangaea.de/10.1594/PANGAEA.967586 (Weber et al., 2024).

opencc-by-4.0Aug 2024View details →

High-resolution chain transform fault bathymetry from the PI-LAB experiment

Bathymetry data from PI-LAB, MGL1602 (<a href="https://doi.org/10.1029/2018JB015982">https://doi.org/10.1029/2018JB015982</a>). Format: Lat/Lon/Depth [m] For reference, please cite: Harmon, N., Rychert, C., Agius, M., Tharimena, S., Le Bas, T., Kendall, J. M., & Constable, S. (2018). Marine geophysical investigation of the Chain Fracture Zone in the equatorial Atlantic from the PI‐LAB experiment. Journal of Geophysical Research: Solid Earth, 123(12), 11-016

High-resolution figures of Buchner et al. 2024

High-resolution figures of Buchner et al. 2024 "New data indicate larger decline of morphological diversity in split-footed lacewing larvae than previously estimated" in Insects (MDPI).

Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS

InSAR Line-of-Sight (LOS) velocities and their associated uncertainties in the southeastern Tibetan Plateau, along with the strain rate fields. Citations: Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS. Geophysical Research Letters. Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS [Data set]. Zenodo.  https://doi.org/10.5281/zenodo.13731812

DCP-MTL: Vectorization of Agricultural Cultivation Field Parcels via Boundary-Parcel Multi-Task Learning Network in Ultra-High-Resolution Remote Sensing Images

This paper introduces the first UHR UAV dataset specifically for CFP, designed to evaluate the performance of the proposed model in identifying these parcels. The dataset offers ultra-high spatial resolution, various field parcel types, and broad geographic coverage. Figure 8 shows the spatial distribution of the study data. Jilin Province is the primary region for training and evaluating the model, while Hebei, Henan, Anhui, Zhejiang, and Hainan are auxiliary regions for testing the model's transferability.

opencc-by-4.0Jul 2024View details →

PAPILA: High resolution inventory of atmospheric emissions in Latin America.

Brief description PAPILA dataset is a collection of annual emission inventories of reactive gases (CO, NMVOC, SO2, NH3, NOx), Greenhouse gases (CO2, CH4), and particles (PM25, PM10, BC, OC) from anthropogenic sources in South America, for the period 2014–2020. Here is presented PAPILA version 2.0, The first version of this inventory is available <a href="https://data.mendeley.com/datasets/btf2mz4fhf/3">here.</a> PAPILA is the first AEI from anthropogenic sources covering the continental SA region, which combines local available information with a global database in a proper and rigorous way. For this purpose, global datasets were used as a basis, enriching it with locally developed inventories available in the literature until 2023 for Argentina, Chile, Colombia, Mexico and Ecuador. The Dataset consider emissions from 13 sectors  which are organized and denominated inspired mostly on the nomenclature given by CAMS: thermal power plants (ENE);  road transportation (TRO); non-road transportation (TNR); fugitive emissions (FEF); industries, including fuel consumption in manufacturing industries and construction industrial processes, (IND); solvents (SLV); refineries (REF); agricultural soils (AGS); agricultural livestock (AGL); domestic and international navigation (SHP); solid waste disposal   (including solid waste, wastewater, and incineration) (SWD); open biomass burning (OBB); residential , commercial and other sectors (RCO) To consult the main methodological considerations , review the methodological document available for download This inventory should contribute to the design of policies that seek to mitigate climate change and improve air quality by providing policy makers, stakeholders and scientists with qualified scientific spatial explicit emission information Metadata The inventories are presented as netCDF4 files, one for each year and specie, gridded  in WGS84 projection (lon-lat) with a spatial resolution of 0.1∘ × 0.1∘ covering the domain 32–120∘ W and 34∘ N–58∘ S. Each file contains 14 variables corresponding to the emissions in Tg yr−1 from the13 sectors estimated and the sum of all categories (SUM)

PSTN-High resolution images

PSTN-High resolution images

opencc-by-4.0Apr 2024View details →

Experimental data for the article "High Resolution Rovibrational Spectroscopy of the ν6 and ν3+v7 Bands of H2CCCH+"

data measured with COLTRAP apparatus 6th December - 11th December 2023  column 1 (x-axis) is frequency in cm-1, accuracy ~0.001 cm-1, precision ~0.0002 cm-1  column 2 (y-axis) are ion counts on mass 39u, integer  The data given here are original data with 14 concatenated data files.  Some spurious data points have been commented out by using "#"

Coherent structures of a hydrothermal buoyant plume in the near-field obtained through LES at ultra-high resolution.

Three-dimensional coherent structures identified by iso-surfaces of lambda2 = -1 (a) and lambda2 = -10^(-2) (b) using the method by Jeong and Hussain (1995) for a buoyant forced plume (Gamma0 = 1.14, where Gamma is the flux balance parameter defined by B. Morton and Middleton, 1973). The colormap represents the absolute temperature anomaly. The time interval in the video corresponds directly to the simulation time of the plume. This is an output of a Large Eddy Simulation (LES) performed using the <a href="http://basilisk.fr/">Basilsk</a> code, an adaptive mesh refinement (AMR) code featuring a second-order accurate finite-volume solver for the Navier–Stokes equations. These equations are solved in their three-dimensional Boussinesq form for an incompressible fluid. The plume modeled here represents a typical hydrothermal vent, with source conditions set to 300 °C for temperature, 0.7 m/s for velocity, and a vent radius of 2.8 cm. <div> <div> <div>Source :</div> <div>Jeong J, Hussain F. On the identification of a vortex. Journal of Fluid Mechanics. 1995;285:69-94. doi:10.1017/S0022112095000462 <div>MORTON, B. R. et MIDDLETON, Jason. Scale diagrams for forced plumes. Journal of Fluid Mechanics, 1973, vol. 58, no 1, p. 165-176.</div> </div> </div> </div>

High-resolution spectral characterization of YSES 1 system with VLT/CRIRES+

This repository contains the extracted spectra of YSES 1 and its super-Jovian companions b and c observed with the high-resolution spectrograph VLT/CRIRES+ (R~100,000). The paper from <a href="https://doi.org/10.3847/1538-3881/ad7ea9">Zhang et al. (2024)</a> provides more details of the data analyses.

Raw images, video, and data file for the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials"

This dataset includes the raw images and data file in the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials", specifically: <ul> <li>Raw images for the optimized print with the PEGDA-glycerol-water resin (Figure 2 & Figure S2)</li> <li>Raw images for the optimized print with the PEGDA-glycerol-LB resin (Figure 2)</li> <li>Raw images for the optimized print with the BSA-PEGDA-water resin (Figure 3)</li> <li>Raw images and video for the spontaneous capillary flow of LB media in a PEGDA-glycerol-LB microfluidic chip (Figure 4)</li> <li>Raw data for the UV-vis spectrum of LB media (Figure S4)</li> </ul>

High-resolution (250x250m) gridded daily mean wind speed dataset for Austria spanning from 1961 to 2023

Overview: Resolution: 250x250 m Projection: EPSG 31287, Austria Lambert Extent: Austria Period : 1961-2023 Format: NetCDF Application: High-resolution gridded climate data derived from in-situ observations play a crucial role in global and regional climatology. The data are a valuable input for further climate impact studies, particularly in ecological and energy modelling, and can be subsequently used for wind power potential analysis. Moreover, policymakers can make informed decisions based on accurate climate information derived from this dataset, enhancing the effectiveness of climate-related policies and interventions. Additionally, the data can be used for model evaluation and bias adjustment. Methods: 1. Data homogenization Breaks in the station data time series were detected and corrected using the Standard Normal Homogeneity Test (SNHT), which identifies where the mean changes the most. If this change exceeds a certain threshold, the time series is adjusted by aligning the statistical distribution of values before the change to those after the change, assuming the most recent time series is correct. This adjustment is achieved using the Quantile Mapping (QM) approach. 2. Spatial interpolation All methods were tested in a nested 10-fold cross-validation (CV) scheme. This means that 10 % of the stations are left out (outer loop), and the other 90 % are used for training the model (inner loop). The outer loop is solely used for validating the model, whereas the inner loop serves for model optimization. A two-stage approach was applied. Initially, a background field - the climatology for each month - was calculated using Random Forest Regression (RFR) with a defined set of predictors. Subsequently, model residuals were spatially interpolated using the 3D Inverse Distance Weighting (3D IDW) method. Differences between daily values and corresponding monthly climatologies were also interpolated using 3D IDW. The final daily mean wind speed field is calculated by adding the monthly climatology fields to the interpolated daily residuals.

Dataset of High-Resolution Micro-CT Imaging of Tumor Invasion and Metastasis in a Murine Esophageal Cancer PDX Model

This dataset features high-resolution micro-CT imaging data capturing the progression of tumor invasion and metastasis in an orthotopic patient-derived xenograft (PDX) model of esophageal cancer. Using contrast-enhanced micro-CT, we visualized detailed patterns of tumor invasion, including budding, multicellular streaming, and expansive growth, across multiple abdominal organs such as the stomach, pancreas, liver, and spleen. The dataset includes two specimens, highlighting both the primary tumor site and extensive metastases throughout the abdominal cavity. Our imaging preserved the native tissue architecture, providing a unique three-dimensional view of tumor-host interactions. This collection offers valuable insights for researchers studying the dynamics of esophageal cancer invasion and metastasis. Detailed descriptions of the micro-CT scanning parameters, image analysis, and sample preparation are provided within the dataset archive.

The High-resolution 3D QP Model of the China Seismic Experiment Site

The CSES-Q1.0 is the highest resolution 3D QP model in the CSES to date.The first column of the file represents longitude, the second column represents latitude, the third column represents depth, and the fourth column represents QP values.