AndreaBozzo/ceres-open-data-index huggingface dataset:
Data underlying the publication: Dispersive transport dynamics in porous media emerge from local correlations

The dataset contains code and raw data used in the publication "Dispsersive transport dynamics in porous media emerge from local correlations". The provided code allows the generation of porous media patterns used in the publication and to run dispersive spread simulations in porous media. A mathematica notebook is included to allow the tracktability of the calculations performed in the publication. The data provided includes the microscopy data used to  measure the width of the dispersive front width increasing disoroder, the simulation results of the dispersive spread and the used porous media designs, and PIVlab data.

Tags: fluid-dynamics, microfluidics, porous-media, statistical-physics, transport
Organization: open.bydata
Dataset of the paper Erdogan et al. (2021) : Real-time monitoring of ionosphere VTEC using Multi-GNSS carrier-phase observations and B-splines

The dataset comprises global Vertical Total Electron Content (VTEC) products stored in daily files (in IONEX format) and covers the days October 17 to 21, 2019. The temporal sampling of the VTEC data is 30 seconds. The spatial resolution is 5 degrees in longitude and 2.5 degrees in latitude. The dataset was generated from target parameters of the ionosphere estimated from real-time GNSS observations.

Tags: b-splines, igs-real-time-service, ionosphere-modeling, kalman-filtering, real-time-vtec-maps, rtcm-data-streams
Organization: open.bydata
Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images

Data supplements for the paper “Dataset for Temporal Vegetation Modelling using Long Short-Term Memory Networks for Crop Identification from Medium-Resolution Multi-Spectral Satellite Images” containing training- and evaluation data, evaluation methodology and neural network models.

Tags: earthvision2017, field-identification, recurrent-neural-networks, remote-sensing, temporal-modelling
Organization: open.bydata
THE Benchmark: Transferable Representation Learning for Monocular Height Estimation

Generating 3D city models rapidly is crucial for many applications. Monocular height estimation is one of the most efficient and timely ways to obtain large-scale geometric information. However, existing works focus primarily on training and testing models using unbiased datasets, which don’t align well with real-world applications. Therefore, we propose a new benchmark dataset to study the transferability of height estimation models in a cross-dataset setting. To this end, we first design and construct a large-scale benchmark dataset for cross-dataset transfer learning on the height estimation task. This benchmark dataset includes a newly proposed large-scale synthetic dataset, a newly collected real-world dataset, and four existing datasets from different cities. Next, a new experimental protocol, few-shot cross-dataset transfer, is designed. For few-shot cross-dataset transfer, we enhance the window-based Transformer with the proposed scale-deformable convolution module to handle the severe scale-variation problem. 

Tags: benchmark, cross-dataset-transfer, remote-sensing, synthetic-data, transfer-learning, transformer
Organization: open.bydata
Parse Semantics from Geometry: A Remote Sensing Benchmark for Multi-modal Semantic Segmentation

Geometric information in the normalized digital surface models (nDSM) is highly correlated with the semantic class of the land cover. Exploiting two modalities (RGB and nDSM (height)) jointly has a great potential to improve the segmentation performance. Towards a fair and comprehensive analysis of existing methods, in this paper, we introduce a remote sensing benchmark for multi-modal semantic segmentation based on RGB-Height (RGB-H) data. The introduced RSMSS dataset contains 9340 tiles collected from three different cities, including the Oklahoma, Washington, D.C., and Philadelphia. Each RGB image tile has a corresponding nDSM map provided with the resolution of 1024x1024. We split all the image tiles into three subsets: the training set with 5,137 tiles, the validation set with 1,059 tiles and the test set with 3,144 tiles. All the image pixels are annotated with six different land cover types, including 1. ground; 2. low-vegetation; 3. building; 4. water; 5. road; 6. tree

Tags: earth-observation, multi-modal-learning, remote-sensing, semantic-segmentation
Organization: open.bydata
Characterization data of reference industrial polycarboxylate superplasticizer VP 2020/15.2 used for Priority Program DFG SPP 2005 “Opus Fluidum Futurum - Rheology of reactive, multiscale, multiphase construction materials”

An industrial polycarboxylate superplasticizer sample has been chosen to be used in the Priority Program 2005 of the German Research Foundation (DFG SPP 2005). The molecular properties such as molar masses (Mw, Mn), polydispersity index (PDI) and macromononmer conversion rate of this superplasticizer sample were determined via Size Exclusion Chromatography (SEC) and its specific anionic charge amount was obtained via charge titration. Furthermore, the dispersing effectiveness of this superplasticizer sample was assessed through ‘min-slump’ tests in pure OPC (CEM I 42.5 R) and in a limestone-calcined clay (LCC) cement. Moreover, adsorption of the superplasticizer on both cements and dosage-dependent development of the zeta potential of the cement suspensions were captured. The data shall be used for the ongoing research within the Priority Program.

Tags: characterization, dfg-spp-2005, dispersing-effectiveness, fluidity, molecular-properties, polycarboxylate
Organization: open.bydata
The Humanoid Robot Lola walks Outside

This video shows our humanoid robot Lola walking on asphalt, grass, and cobblestone. All motions were generated online and on board of the robot. The cable is needed for power supply as the robot doesn't have a battery yet. Lola is safeguarded by a safety harness - this rope is loose during walking.

Tags: control, humanoid, legged, locomotion, lola, planning, robot
Organization: open.bydata
Field data of wet grassland experiment recording changes of Jacobaea aquatica, plant community composition and species abundances under different management practices

Collected data from three grassland experiments to assess the effects of different management intensities on the abundance of a native invader as well as on species richness and functional diversity. Data correspond to vegetation survey data of the grassland sites, to calculated change values of species abundance, abundance of monocots and dicots, species number, functional dispersion and redundancy and to environmental site conditions used for NMDS analysis. For details regarding each dataset, please refer to the readme file.

Tags: community-structure, cutting-management, functional-dispersion, functional-redundancy, jacobaea-aquatica, marsh-ragwort, native-invader, plant-diversity, weed-control, wet-grasslands
Organization: open.bydata
CREAM: CoffeemakeR Electrical Activity Measurements

The CREAM dataset: continuous voltage and current measurements at high sampling rates of an industry-grade coffeemaker, mimicking industrial processes. We provide the data sampled at 6.4 kSps and additional event information: 92449 expert-labeled component-level electrical events, 1476 machine-generated product events and 2868 machine-generated maintenance-related events.

Tags: appliance-identification, condition-monitoring, energy-consumption-data, industrial-like-machinery, non-intrusive-load-monitoring, predictive-maintenance
Organization: open.bydata
Data on “Which particles to select, and if yes, how many? Subsampling methods for Raman microspectroscopic analysis of very small microplastic.”

Simulated samples for microplastic analysis by Raman microspectroscopy used in the correlated publication to evaluate subsample selections.

Tags: automation, bootstrap, chemometrics, microplastic, nanoplastic, raman-microspectroscopy
Organization: open.bydata
Simulation Results from Multi-decadal Satellite Gravity Simulations on Recoverability of Climate Trends in Next Generation Gravity Missions (NGGMs)

The simulation results  are supplementary material to Schlaak et al. (in prep.) . The simulations are based on a modeled time series of global changes in soil moisture and snow coverage. The corresponding mass transport signal is obtained from future climate projections until the year 2100 following the shared socio-economic pathway scenario 5-8.5. For different mission concepts, including in-line single-pair missions and a Bender double-pair mission, the recoverability of a time variable mass signal is the time-variable signal is represented by the climate signal in terms of TWS. Here, the Geophysical Fluid Dynamics Laboratory (GFDL) model (H. Guo et al., 2018) is used as it has the best mean match compared with GRACE data and the Coupled Model Intercomparison Project Phase 6 (CMIP6) (L. Jensen et al., 2020)., considering realistic noise assumptions, simulated over several decades. 

Tags: first-multi-decadal-numerical-closed-loop-simulations, next-generation-gravity-mission-nggm, recoverability-of-long-term-climate-variability-in-tws, satellite-gravity-mission-simulations, simulations-on-observing-techniques-of-trends-in-total-terrestrial-water-storage-tws
Organization: open.bydata
Biomass production of native plant communities and invasive plant species under varying experimental environmental conditions  <br/>Files: <br/> (i) Duernast_experiment_biomass<br/> (ii) TUMmesa2017_experiment_biomass<br/> (iii) TUMmesa2018_experiment_biomass

Collected data from three experiments conducted in greenhouse and climate chambers to evaluate the biomass production of native plant communities and an invasive species submitted to particular environmental fluctuations (fertilization, heat and flood).

Tags: biotic-resistance, competition, ecological-restoration, environmental-fluctuation, grassland, invasibility, priority-effects, propagule-pressure, solidago-gigantea
Organization: open.bydata
Heat flux simulations for the insulation concept of the AM facade demonstrator "Breuer X AM"

The dataset consists of an extract of parametric heat flux simulations for the insulation concept of an additively manufactured (AM) facade element "Breuer X AM" using Selective Cement Activation (SCA) within the framework of TRR277. The thermal simulations calculate the heat flux through a horizontal section of the element for varying parameters for the internal cell structure and compare a) a solid element, b) air-filled cells, and c) perlite-filled cells. For the heat flux simulations, the software LBNL THERM 7.6 was used. As a comparison, one set of simulations for one geometric parameter set was chosen. For each variant, there´s a simulation file and, additionally, there are exported PDFs showing the heat flux as colored mesh, the resulting U-values are exported to text files, and there´s a summarizing visualization. 

Tags: additive-manufacturing, am, functional-integration, heat-flux-simulation, lightweight-concrete, sca, selective-cement-activation, thermal-insulation
Organization: open.bydata
LOLA v1.1 - An Upgrade in Hardware and Software Design for Dynamic Multi-Contact Locomotion

In this video we present our recent upgrades to the hard- and software of our humanoid robot LOLA. The changes were made in order to make LOLA capable of dynamic multi-contact locomotion (by which we mean additional hand-support during fast walking). This is meant to increase overall stability and robustness against model inaccuracies and disturbances.

Tags: control, humanoid, legged, locomotion, lola, multi-contact, planning, robot
Organization: open.bydata
Humanoid Robot LOLA - Vision Guided Autonomous Multi-Contact Locomotion

In this video we demonstrate fully autonomous multi-contact locomotion for our humanoid robot LOLA. In contrast to our previous multi-contact videos where contact points for the feet and hands had to be specified manually by the user, this time all contacts are autonomously planned by the robot itself based on the perceived environment. The only input by the user is the desired final goal position (a horizontal position and rotation around the vertical axis). The robot then automatically computes a feasible contact sequence (if possible) and connects the discrete poses with kinematically and dynamically feasible trajectories while considering multi-contact effects (external forces applied at the hands of the robot).

Tags: control, humanoid, legged, locomotion, lola, multi-contact, planning, robot
Organization: open.bydata
Stereomicroscopic and differential interference contrast (DIC) images of 48 h submerged cultivations of the filamentous fungus Aspergillus niger

The dataset provides 2694 stereomicroscopic 8-bit RGB JPEG images of 44 sampling times from two 48 h submerged cultivations of the filamentous fungus Aspergillus niger. The cultivations were performed in shake flasks with identical cultivation parameters. About 1300 images were taken for each cultivation flask. At least 24 images per culture and sampling time were taken. The stereomicroscopic images depict the development of Aspergillus niger pellets starting from the agglomeration of spores after inoculation followed by spore germination and outgrowth into a pellet population. The following pixel sizes and field of views (FoV) were used at the different sampling times: 0 h – 1.5 h, pixel size 0.82 µm, FoV 1.49 mm × 1.12 mm; 2 h – 2.5 h, pixel size 1.63 µm, FoV 2.97 mm × 2.22 mm; 3 h – 3.5 h, pixel size 3.33 µm, FoV 6.07 mm × 4.55 mm; 4 h – 48 h, pixel size 4.08 µm, FoV 7.44 mm × 5.58 mm.

Tags: aspergillus-niger, differential-interference-contrast, image-analysis, microscopy, morphology-development, pellet-growth, spore-agglomeration-aggregation, stereomicroscopy
Organization: open.bydata
How atmospheric conditions affect degradation mechanisms of high-efficiency perovskite solar cells

Supporting data from the above publication, including numerical source data files as the xlsx format, and image source data as jpg or tif format. Data underlying each Figure in the paper and the supplementary file are included and named as they are. The individual data behind the average values and raw data generated at the Deutsches Elektronen-Synchrotron radiation facility is included in the Image source data Fig. 2 file. 

Tags: atmospheric-effects, operando-study, perovskite-solar-cells
Organization: open.bydata
Electric powertrain data of a Volkswagen ID.3 during real-world driving situations

This dataset contains 148 measurements recorded during real-world driving situations. The overall dataset contains measurements of (1) the high-voltage battery (e.g., current, voltages, temperatures, SOC), (2) the powertrain (e.g., rotation, torque, temperature), and (3) the vehicle (e.g., speed, mileage). Data availability may vary between the measurements as the general objectives of the measurements differed during the aquisition. All measurements are provided as .csv and .mat files for fast processing in downstream applications.

Tags: battery-aging, battery-electric-vehicle, electric-powertrain-efficiency, lithium-ion-battery, state-of-the-art, teardown-analysis
Organization: open.bydata
NEW: So2Sat LCZ42

So2Sat LCZ42 is a dataset consisting of corresponding synthetic aperture radar and multispectral optical image data acquired by the Sentinel-1 and Sentinel-2 remote sensing satellites, and a corresponding local climate zones (LCZ) label. The dataset is distributed over 42 cities across different continents and cultural regions of the world, and comes with a split into fully independent, non-overlapping training, validation, and test sets.

Tags: big-data, classification, data-fusion, deep-learning, local-climate-zones, optical-imagery, remote-sensing, synthetic-aperture-radar-imagery
Organization: open.bydata
Data underlying the publication: Alkaline vents recreated in two dimensions to study pH gradients, precipitation morphology and molecule accumulation

The dataset contains the raw data used in the publication “Alkaline vents recreated in two dimensions to study pH gradients, precipitation morphology and molecule accumulation”. The data provided includes the microscopy data and movie captured by black/white camera and by color camera.

Tags: alkaline-vents, concentration-problem, mineral-precipitation, origins-of-life, ph-gradients
Organization: open.bydata
MDAS: A New Multimodal Benchmark Dataset for Remote Sensing

In Earth observation, multimodal data fusion is an intuitive strategy to break the limitation of

Tags: benchmark-data-set, dlr-3k-dsm, enmap, hyspex, land-cover-classification, multihyper-spectral-image, multimodal-data-fusion, sentinel-1, sentinel-2, spectral-unmixing, super-resolution, synthetic-aperture--radar
Organization: open.bydata
Characteristics of neurocysticercosis in eastern Africa

This dataset includes data from four cross-sectional studies on neurocysticercosis and epilepsy in three eastern African countries (Tanzania, Malawi, Uganda). Data include demographic, clinical and radiological characteristics of 1,005 people with epilepsy.

Tags: epilepsy, epileptic-seizures, global-health, neurocysticercosis, screening
Organization: open.bydata
Hyperpolarized Pyruvate-Lactate bSSFP and Anatomical MRI of Mice

These are ParaVision 6.0.1 datasets for magnetic resonance images of three mice acquired in a 7T Bruker/Agilent preclinical scanner.

Tags: bssfp, hyperpolarized-13c, lactate, metabolism, pyruvate, tumor-heterogeneity
Organization: open.bydata
HVNet: Hardware-Assisted Virtual Networking on a Single Physical Host

Experiment results for analyzing HVNet. The data-set contains relevant data and figures from 100 random toplologies analyzed focusing on end-to-end-delay for the respective topologies. The experiment was performed using hardware-timestamping of every packet before and after traversing through HVNet resulting in detailed latency data for every flow in the network. 

Tags: emulation, single-root-io-virtualization, testbed, virtual-machines
Organization: open.bydata
Experimental results for mechanical and thermal properties of SCA material

This dataset contains the results of an experimental assessment of thermal conductivity as well as density and compressive strength of the same material. The material composition is currently under development within the DFG-funded TRR277 at TU Braunschweig. The group A01 at the Institute of Building Materials, Concrete Construction and Fire Safety is developing the tested material for large-scale applications of the Additive Manufacturing (AM) Selective Cement Activation (SCA) process. The material mixture comprises a dry particle bed with Portland cement, fine aggregates (quartz sand with a maximum diameter of 0.5 mm), and methyl cellulose granules selectively activated with liquid, in a volumetric mixture of sand/cement = 60/40 with the MC dosage being 1 wt.% of the total mixtures weight. The experimental thermal conductivity of the tested material without water treatment accounts for 1.319 W/mK, and the specimen with water treatment is 1.414 W/mK. The respective densities and compressive strength values are 1.70 g/cm³ and 19.37 MPa for the specimens without water curing and 1.78 g/cm³ and 24.40 MPa for specimens with water curing.

Tags: additive-manufacturing, compressive-strength, sca, selective-cement-activation, thermal-conductivity
Organization: open.bydata
Clinical characteristics and management of neurocysticercosis patients in Europe from 2000–2019: a retrospective assessment of case reports and aggregated data

This dataset includes data on cases of neurocysticercosis diagnosed in Europe between 2000 and 2019. Demographic, clinical, radiological and treatment-related data were extracted from published case reports and case series.

Tags: global-health, neurocysticercosis, taenia-solium
Organization: open.bydata
Heat flux simulations for the AM facade demonstrator "Marriage of two Materials"

The dataset consists of heat flux simulations for an additively manufactured (AM) facade demonstrator, "Marriage of two Materials,” within the framework of TRR277. The collaborative demonstrator project is based on Concrete Extrusion 3D Printing with the concept of Near Nozzle Mixing, enabling to grade material properties, here using natural sand mortar (NSM) and lightweight mortar (LWM). The thermal simulations, calculating the heat flux through a horizontal layer of the element and evaluating the U-value, were conducted with the simulation software LBNL THERM 7.6. There´s one folder with simulation files comparing a) a solid NSM element, b) a combination of solid NSM and solid LWM, and c) a solid NSM with a cell structure with LWM and air. The resulting U-values are listed in text files, and additionally, there´s a summarizing figure comparing the three variants. 

Tags: additive-manufacturing, am, ce3dp, concrete-extrusion-3d-printing, functional-integration, heat-flux-simulation, lightweight-concrete, thermal-insulation
Organization: open.bydata
"OE62-dataset" of molecular orbital energies

This download contains a diverse benchmark spectroscopy dataset of around 62k large molecules extracted from organic crystals of the Cambridge Structural Database. Equilibrium molecular structures were obtained at the PBE level of density functional theory (DFT) for all contained molecules. Additionally, total energies and orbital eigenvalues are included, computed at the (i) PBE and PBE0 level of DFT for all molecules in vacuum, (ii) PBE0 level of DFT for a subset of around 31k molecules in water and (iii) PBE0 level of the more accurate GW method for a subset of 5k molecules in vacuum. The dataset and its subsets are provided in pandas dataframes, accessable from the python programming language, as explained in the provided tutorial file. The dataset may be used to develop and benchmark machine learning methods in quantum chemistry. 

Organization: open.bydata
Multi-modal Supervised Change Detection Data

The Multi-modal Change Detection Data Set [1] provides Sentinel-1 dual-pol SAR measurements to complement the hand-labeled ONERA change detection data set of optical satellite observations [2]. Our data set consists of  bi-temporal and full-scene SAR images for 24 globally distributed regions of interest. The full-scene images are geo-referenced, time-aligned and co-registered to the optical ONERA data [2] and provided in the form of 16-bit GeoTiffs containing the following information:

Tags: change-detection, data-fusion, deep-learning, optical-imagery, remote-sensing, synthetic-aperture-radar-imagery
Organization: open.bydata
Klimadaten der Stadt Aschaffenburg

In diesem Ordner finden Sie von der Stadt Aschaffenburg erhobene Klimadaten. Die Daten einzelner Wetterstationen finden Sie im Unterordner "Wetterstationen". In diesem sind die Daten der einzelnen Wetterstationen mit einem Ordner pro Wetterstation enthalten. In diesen Ordnern werden CSV-Dateien täglich aktualisiert und pro Monat mit aktuellen Datenständen der jeweiligen Wetterstation fortgeschrieben. Die Anzahl der städtischen Wetterstationen wird sich in der Zukunft weiter erhöhen.

Tags: klima, klimadaten, stadt-aschaffenburg, wetterdaten, wetterstationen
Organization: open.bydata
Synthetic training dataset for LineMod objects

The dataset includes the synthetic data generated from rendering the 3D meshes of LM objects in Blender for training 6D pose estimation algorithms. The whole dataset contains the synthetic data for 13 objects with 20,000 data samples for each object. Each data sample includes an RGB  image in .png format and a depth image in .exr format. Each sample has the annotations of mask labels in .png format and the ground truth pose labels saved in .json files. Apart from the training data, the 3D meshes of the objects and the pre-trained models of the 6D pose estimation algorithm are also included. The whole dataset takes approximately 800 GB of storage memory.

Tags: 6d-pose-estimation, computer-vision, synthetic-dataset
Organization: open.bydata