AndreaBozzo/ceres-open-data-index huggingface dataset:
New methods for linking science objectives to remote sensing observations: a concept study using single and dual-pair satellite gravimetry architectures

The datafiles contain root-mean-square (RMS) values of 1, 3, 7, 14, and 30-days of consecutive satellite gravity field solutions in terms of different types of gravity field retrieval errors in cm equivalent water height (EWH) derived from simulations over 1 year. Simulations were executed using 3 different satellite architectures. Every file contains information related to a dedicated satellite architecture, type of retrieval error, time span of gravity field retrieval (e.g., 14 days), and related to dedicated spatial scales, which are the same in all datafiles.

Tags: gravity-field, next-generation-gravity-field-mission, satellite, space-vs.-time-vs.-accuracy-grid
Organization: open.bydata
SEN12MS

The SEN12MS dataset contains 180,662 patch triplets of corresponding Sentinel-1 dual-pol SAR data, Sentinel-2 multi-spectral images, and MODIS-derived land cover maps. The patches are distributed across the land masses of the Earth and spread over all four meteorological seasons. This is reflected by the dataset structure. All patches are provided in the form of 16-bit GeoTiffs containing the following specific information:

Tags: classification, data-fusion, deep-learning, land-cover, optical-imagery, remote-sensing, synthetic-aperture-radar-imagery
Organization: open.bydata
SSL4EO-S12: A Large-scale Multimodal Multitemporal Dataset for Self-supervised Learning in Earth Observation

The SSL4EO-S12 dataset is a large-scale dataset for unsupervised/self-supervised pre-training in Earth observation. The dataset consists of unlabeled patch triplets (Sentinel-1 dual-pol SAR, Sentinel-2 top-of-atmosphere multispectral, Sentinel-2 surface reflectance multispectral) from 251079 locations across the globe, each patch covering 2640mx2640m and including four seasonal time stamps. The raw dataset is provided in GeoTiff format, with each band being one single file.

Tags: earth-observation, remote-sensing, self-supervised-learning, sentinel-12
Organization: open.bydata
Optically Induced Long-Lived Chirality Memory in the Color-Tunable Chiral Lead-Free Semiconductor (R)/(S)‑CHEA4Bi2BrxI10−x (x = 0−10)

Hybrid organic-inorganic perovskites are optoelectronic materials with tunable chemical and electronic structures. Incorporating chiral organic molecules into perovskite networks has attracted great attention due to their potential in lighting applications and optical communication. Here, we introduce chiral organic molecules (R)/(S)-1-cyclohexylethylamine (R/S-CHEA) into bismuth-based materials with a perovskite-related motif, to synthesize chiral lead-free (R)/(S)-CHEA4Bi2BrxI10-x crystals and thin films. We perform single-crystal XRD measurements and density-functional theory (DFT) calculations to identify their crystal and electronic band structures. We investigate their optical properties, and find circular dichroism, which we tune over a wide wavelength range from 300 - 500 nm by changing the bromide-to-iodide ratio. Further, we employ transient absorption and time-resolved PL spectroscopy to investigate charge carrier dynamics, which show long-lived excitations with optically-induced chirality memory up to microsecond timescales. Our demonstration of color-tunable and chiral lead-free perovskites opens a new avenue for the discovery of high performance lead-free spintronic materials with optical functionalities.

Tags: chirality, circular-dichroism, lead-free, perovskite, spintronics
Organization: open.bydata
Simultaneous Magnetic Resonance Imaging of pH, Perfusion and Renal Filtration using Hyperpolarized 13C-labelled Z-OMPD

This dataset contains raw data and analysis outputs of magnetic resonance imaging, NMR spectroscopy, mass  spectrometry and histology being performed within the studies for the respective publication. The datasets are grouped into folders according to the respective figures in the manuscript and the supplement. descriptions of data collection and analysis procedures can be found in the manuscript. 

Tags: hyperpolarized-13c-mri, kidney, z-ompd
Organization: open.bydata
Dataset of "Network Traffic Characteristics of Machine Learning Frameworks Under the Microscope"

Network traffic collection (PCAP) of three widely-used state-of-the-art Distributed Machine Learning (DML) frameworks (Tensorflow, Horovod, KungFu). The collection contains distributed training runs of four models (MobileNetV2, ResNet50, Resnet101, DenseNet201) with varying configurations of the frameworks. Varied parameters are the communication topology and backend, the distributed optimizer, the batch size and the packet loss in the network.

Tags: distributed-machine-learning, network-traffic-measurement
Organization: open.bydata
Data for "Storage of mechanical energy in DNA nanorobotics using molecular torsion springs"

Data for the paper “Storage of mechanical energy in DNA nanorobotics using molecular torsion springs”. The data is structured by figure. The hdf5 files can be opened with the “Picasso” software package (<a href=" https://github.com/jungmannlab/picasso" target="_blank"> https://github.com/jungmannlab/picasso</a>). The localizations in the hdf5 files show the tip position of the picked DNA robotic arms in each video frame with the “group” column representing the particle number. Accepted particles used for the analysis are specified in accompanying txt files. Frame times of the camera acquisition are written in the metadata txt file.

Organization: open.bydata
So2Sat GUL - So2Sat Global Urban LCZs

So2Sat GUL consists of the local climate zones classification maps of 1692 cities whose population are larger than 300,000 according to the United Nations' World Urbanization Prospects: The 2014 Revision.

Tags: convolutional-neural-network, local-climate-zones, machine-learning, sentinel-1, sentinel-2, so2sat
Organization: open.bydata
Geometry data of a sensor envelope for the hygrometric method to determine material moisture content

The cylindrical body serves as a sensor casing for the Humidity Bricklet by TinkerForge. It can be used for the hygrometric method to determine equilibrium moisture content within any depth of a building element.

Tags: 3d-model, equilibrium-moisture-content, hygrometric-method, in-situ-measurement, moisture-monitoring, relative-humidity, sorption-isotherm, structural-health-monitoring
Organization: open.bydata
Cloudy with a Chance of Short RTTs: Analyzing Cloud Connectivity in the Internet

Cloud datacenter to user connectivity dataset collected over Speedchecker platform. The dataset accompanies research article “Cloudy with a Chance of Short RTTs: Analyzing Cloud Connectivity in the Internet” accepted at ACM Internet Measurements Conference (IMC) 2021

Tags: cloud, cloud-connectivity, cloud-reachability, edge-computing, internet-measurements, speedchecker
Organization: open.bydata
Image analysis algorithm + raw and analyzed images

The dataset provides all 157,202 acquired and analyzed images of the study "Inline imaging reveals evolution of the size distribution and the concentration of microbubbles in dissolved air flotation" along with the applied image analysis algorithm (MATLAB code). The images were acquired in both the flotation tank and the pipe between the decompression valve and the tank. The pixel lenth is 0.87 µm and the field of view is 1500 x 1024 pixels.

Tags: dissolved-air-flotation, endoscope, image-analysis, inline-analysis, inline-microscopy, micro-bubbles
Organization: open.bydata
Requirements of a Digital Twin in Order Processing

Environmental factors, such as the high number of product variants, increase the complexity of Order Processing. Holistic decision-making presents a challenge due to the lack of transparency in Order Processing, an inadequate data basis, and the unknown effects of decision alternatives. As a result, producing companies need a tool to support effective and efficient decision-making in Order Processing of complex production and logistics networks. Therefore, we present a Digital Twin in Order Processing at the 54th CIRP Conference on Manufacturing Systems. Because existing literature recommends identifying requirements as a first step and a prerequisite in implementing software, the present document provides the entire list of all identified requirements of a Digital Twin in Order Processing. 

Tags: decision-support, digital-twin, order-processing, production-and-logistic-network, requirements
Organization: open.bydata
Experimental Investigation of Shock-Induced Tandem Droplet Breakup

This dataset is related to the publication "Experimental Investigation of Shock-Induced Tandem Droplet Breakup" and contains images, videos and figure data files. For deeper insights into the dynamics of dense sprays, the present experimental work investigates the shock-induced breakup of two identically-sized water droplets in tandem formation. The breakup process is visualized in a shadowgraph system and captured by an ultra-high-speed camera. The experimental Weber number ranges from 13 to 180 and the separation distance between droplets is varied between 1.2 and 10.5 times of the droplet diameter. While the tandem formation exerts marginal influence on the lead droplet, the breakup intensity of the trailing droplet is consistently attenuated as the separation distance falls below critical levels. The time of initial deformation is postponed, the maximum cross-stream diameter is reduced, and the mean drag coefficient is lowered. These effects are more profound at lower Weber numbers and closer separation distances. The attenuation of the breakup intensity is also reflected by the formation of smaller bags in bag and bag-and-stamen morphologies and by the narrower cross-stream dispersion of fragments in multibag and shear stripping morphologies. When positioned in close proximity to the lead droplet, the trailing droplet fails to follow the conventional breakup morphologies. Instead, it either punctures or coalesces with the lead droplet.

Tags: dense-spray, droplet-breakup, secondary-atomization, tandem-formation
Organization: open.bydata
Humanoid Robot LOLA - Dynamic Multi-Contact Locomotion

This video shows our humanoid robot LOLA performing various multi-contact maneuvers. The robot is technically blind, not using any camera-based input. For these experiments the navigation module is disabled, thus the foothold positions and hand contact points are manually set according to the current environment setup. However, disturbances (pushing, uneven terrain, rolling board) are not known to the robot and are compensated by our online stabilization methods. Note that ALL algorithms run in real-time and onboard. The robot's joints are position-controlled.

Tags: control, humanoid, legged, locomotion, lola, multi-contact, planning, robot
Organization: open.bydata
CREAM: CoffeemakeR Electrical Activity Measurements for Condition Monitoring

The CREAM dataset: continuous voltage and current measurements at high sampling rates of two different industry-grade coffeemaker, mimicking industrial processes. We provide the data sampled at 6.4 kSps and additional event information: 370600 expert-labeled component-level electrical events, 1734 machine-generated product events and 3646 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
Quantifying the state of the art of electric powertrains in battery electric vehicles: Range, efficiency, and lifetime from component to system level of the Volkswagen ID.3

This dataset contains over 10 GB of measurement data recorded while performing extensive multiscale experiments using a VW ID.3 Pro Performance. The dataset serves as a reference for characterization of the individual powertrain components and the overall vehicle. This dataset includes (1) images of the teardown of the high-voltage lithium-ion battery pack to cell level, technical drawings and CAD files of the pack, module, and cell, (2) lithium-ion cell level tests (e.g., current rate tests, open-circuit voltage determination tests, high pulse power characterization, electrochemical impedance spectroscopy), and (3) vehicle level tests (e.g., open-circuit voltage determination tests, efficiency map determination dynamometer tests with constant load, dynamic load dynamometer tests, recorded real-world usage situations (e.g., urban, interurban, highway, AC charging, DC charging).

Tags: battery-aging, battery-electric-vehicle, electric-powertrain-efficiency, lithium-ion-battery, state-of-the-art, teardown-analysis
Organization: open.bydata
<b>So2Sat POP Part 1</b>

A comprehensive data set for population estimation in 106 European cities. The final data set consists of two parts: So2Sat POP Part 1 and So2Sat POP Part 2. So2Sat POP Part 1 comprises local climate zone, land use classifications, nighttime lights in combination with multi-spectral Sentinel-2 imagery, and data from the Open Street Map initiative. So2Sat POP Part 2 consists of the digital elevation model.

Tags: dasymetric-modelling, data-fusion, deep-learning, gridded-population-distribution-mapping, largescale-population-mapping, population-estimation, population-modelling, remote-sensing, sustainable-development
Organization: open.bydata
Agricultural Information System Agricultural Technology | Landtechnisches Informations-System Landtechnik (LISL)

Models for the determination of the working time requirements of many agricultural production processes for indoor and outdoor farming, as well as the determination of the workload according to the energy consumption method. Calculation based on manual input of the work processes to be examined in different aggregation from work time elements over partial operations and work processes up to total work processes with required influencing variables to be proven. Note: Programs and data in German language only! 

Tags: agricultural-work-science, deterministic-simulation., work-practices, work-time-requirement-models, work-time-studies
Organization: open.bydata
PEACH: Proactive and Environment Aware Channel State Information Prediction with Depth Images - Dataset

PEACH dataset:  5G NR raw wireless measurements along with correlated videos of an indoor lab environment. The dataset contains 30 measurement runs obtained over 5 different days and each are taking about 3-4 minutes. The raw measurements are named after the receiver UHD models "X410" and "X310" resulting in total 60 raw measurement data. The dataset contains videos of each measurement for two cameras at different angles. Synchronized timestamps of cameras and transmitters are provided for further research. We  provide code example usage of how to read the data. This is the first 5G dataset with real wireless raw signals obtained over multiple software defined radios with mobility up to our best knowledge

Tags: 5g, indoor-wireless-measurement, software-defined-radio, wireless-iq-data
Organization: open.bydata
Survey Data from 75 Truck Drivers on their Mental Models of adaptive interfaces

This data repository contains a dataset of answers for a questionnaire on mental models with 37 items. The data was aquired in 2021 and contains answers of 75 german truck drivers, which filled out the survey after watching a brief explanation of the system.

Tags: adaptive-interface, human-factors-engineering, mental-model, questionnaire-construction, truck-drivers, user-study
Organization: open.bydata
Phase response of the cross-talk area in can-annular combustors for different gap geometries

Can-annular combustors exhibit a small gap in front of the turbine that allows acoustic communication between neighbouring cans. The dataset contains the equivalent reflection coefficients obtained with FEM Helmholtz simulations performed with COMSOL Multiphysics. For each azimuthal order, and for each geometrical configuration, the absolute value and the phase response of the gap is given as a function of frequency.

Tags: can-annular-combustor, fem, gap-modeling, helmholtz-simulation
Organization: open.bydata
Thermal conductivity assessement of SCA material with lightweight expanded glass aggregate

This dataset contains the results of an experimental assessment of thermal conductivity. Additive Tectonics GmbH developed the tested material for large-scale applications of the Additive Manufacturing (AM) process of Selective Cement Activation (SCA). This material was used collaboratively for a façade demonstrator project "Breuer x AM" within the framework of the DFG-funded TRR277. The material mixture consists of a dry particle bed with portland cement and lightweight aggregates (lightweight expanded glass), which is selectively activated with liquid. The experimental thermal conductivity of the tested material accounts for overall 0.646 W/mK.

Tags: additive-manufacturing, sca, selective-cement-activation, thermal-conductivity
Organization: open.bydata
Data for: Soil carbon sequestration by agroforestry systems in China: A meta-analysis

Data on soil organic carbon (SOC) storage in agroforestry systems (AFS) in China were gathered in February 2016 from publications in English and Chinese from five academic databases, namely Web of Science, China National Knowledge Infrastructure (CNKI), Springer, Elsevier’s Scopus, and Wiley.

Tags: agrosilvicultural-systems, ecosystem-services, random-forest-rf, shelterbelts, silvopastoral-systems, soil-organic-carbon
Organization: open.bydata
Self-attention for raw optical Satellite Time Series Classification

Dataset for crop type mapping in Bavaria. Contains raw (unpreprocessed) Sentinel 2 satellite time series acquired over the year 2018 associated with crop type labels of the field parcels. This dataset was used to compare several deep learning models on preprocessed satellite data to industry standards with raw satellite time series to assess the robustness of the tested deep learning models to noise in the data.

Tags: crop-type-mapping, deep-learning, machine-learning, multi-temporal-image-analysis, satellite-time-series-analysis, vegetation-classification
Organization: open.bydata
MITI: SLAM Benchmark for Laparoscopic Surgery

Our MITI Dataset provides all the necessary data by a complete recording of a handheld surgical intervention at Research Hospital Rechts der Isar of TUM. It contains multimodal sensor information from IMU, stereoscopic video, and infrared (IR) tracking as ground truth for evaluation. Furthermore, calibration for the stereoscope, accelerometer, magnetometer, the rigid transformations in the sensor setup, and time-offsets are available. We wisely chose a suitable intervention that contains very few cutting and tissue deformation and shows a full scan of the abdomen with a handheld camera such that it is ideal for testing SLAM algorithms. Intending to promote the progress of visual-inertial algorithms designed for MIS application, we hope that our clinical training dataset helps and enables researchers to enhance algorithms.

Tags: benchmark, inertial-measurement-unit, infrared-tracking, laparoscopy-surgery, localization, minimally-invasive, sfm, slam, stereoscopic, visceral, visual, visual-inertial
Organization: open.bydata
Overview Humanoid Robot LOLA 2018

This video gives an overview on the humanoid robot LOLA and the motion planning procedure required for biped walking. It shows the kinematic and the collision model of the robot and gives some insight to the planned trajectories of the ZMP and the feet. In addition, several experiments with LOLA from the year 2017 are shown.

Tags: control, humanoid, legged, locomotion, lola, planning, robot
Organization: open.bydata
Influence of the road profile accuracy on the performance of disturbance compensation in active suspension systems

This dataset contains the results of simulations of linear and non-linear quarter vehicle models with an active suspension system travelling on different road profiles. Three different disturbance feedforward controls were used to control the active suspension, assuming the road profile is known in advance. However, instead of the real profiles, falsified profiles were input to the disturbance feedforward controllers to simulate various inaccuracies. 

Tags: active-suspensions, disturbance-feedforward-control, quarter-vehicle, ride-comfort, ride-safety, road-profile-accuracy
Organization: open.bydata
R and Matlab Scripts used in the parameter study for the article: "On the Limitations and Implications of Modeling Heat Transport in Porous Aquifers by Assuming Local Thermal Equilibrium"

Heat transport in natural porous media, such as aquifers or streambeds, is generally modeled assuming local thermal equilibrium (LTE) between the fluid and solid phases. Yet, the mathematical and hydrogeological conditions and implications of this simplification have not been fully established for natural porous media. To quantify the occurrence and effects of local thermal disequilibrium during heat transport we systematically compared thermal breakthrough curves (BTCs) from a LTE with those calculated using a local thermal non equilibrium (LTNE) model, explicitly allowing for different temperatures in the fluid and solid phases. For the LTNE model we developed a new correlation for the heat transfer coefficient representative of the conditions in natural porous aquifers using six published experimental results. By conducting an extensive parameter study (>50,000 simulations), we show that LTNE effects do not occur for grain sizes smaller than 7 mm or for groundwater flow velocities that are slower than 1.6 m d-1. The limits of LTE are likely exceeded in gravel aquifers or in the vicinity of pumped bores. For such aquifers, the use of a LTE model can lead to an underestimation of the effective thermal dispersion by a factor of up to 30 or higher, while the advective thermal velocity remains unaffected for most conditions. Based on a regression analysis of the simulation results, we provide a criterion which can be used to determine if LTNE effects are expected for particular conditions.

Tags: local-thermal-nonequilibrium, numerical-modelling, porous-media
Organization: open.bydata
Tree insect pests and pathogens: a global systematic review of their impacts in urban areas

This dataset contains the information extracted from 100 selected studies from 28 different countries, spanning 1979-2021, on the impacts of tree insect pests and pathogens in urban settings. We extracted data on study locations, time frames, tree insect pests, tree pathogens, and tree species. Identified impacts were conceptualised into a three part framework: (1) environmental impacts, including tree mortality and damage, defoliation, and wilting; (2) social impacts, including on aesthetics, health, and safety; and (3) economic impacts, including on costs of pest management, economic losses, and structural damage. We also extracted relevant suggestions for policy, practice and future research.

Tags: economic-impacts, environmental-impacts, green-infrastructure, health-impact, pest-management, prisma, social-impacts, tree-insect-pests, tree-pathogens, urban-forests, urban-trees
Organization: open.bydata
Multistage rock-slope failures revealed in lake sediments in a seismically active Alpine region (Lake Oeschinen, Switzerland)

Dataset related to the article “Multistage rock-slope failures revealed in lake sediments in a seismically active Alpine region (Lake Oeschinen, Switzerland)” published in the Journal of Geophysical Research: Earth Surface. The dataset includes images of the sediment cores and seismic profiles of Lake Oeschinen.

Tags: geomorphic-work, lake-sediments, landslide-impact-wave, multistage-rock-slope-failures, recurrence-rates, rockfall-dating
Organization: open.bydata