Find research datasets worth reusing

INCYDE: A large scale cyclone detection and intensity estimation dataset using satellite infrared imagery

INCYDE (INSAT-based Cyclone Detection and Intensity Estimation) is a cyclone detection and intensity estimation dataset. The cyclone images in the dataset are captured from INSAT 3D/3DR satellites over the Indian Ocean. The proposed INCYDE dataset contains over 100k cyclone images with augmentations taken from cyclones over the Indian Ocean from the year 2013 to 2021. The dataset pertains to two specific tasks: cyclone detection as an object detection task, and intensity estimation as a regression task. In addition to the dataset, this study introduces baseline models that were trained on the newly presented dataset

Trinidad Zone 2008-2022 Template-Detected Earthquake Catalog & 2011-2012 Aftershock Array Catalog

This dataset contains two earthquake catalogs for the Trinidad zone in the Raton Basin on the Colorado-New Mexico, USA border. The excel spreadsheet has three tabs and each has a descriptor. The "aftershock_catalog" tab is an earthquake catalog following the 2011 Mw 5.3 mainshock earthquake in the Trinidad zone. It spans from August 2011 to May 2012. The "template" tab contains the earthquakes used as templates for the template-detection earthquake catalog. The "template_detected_catalog" is an earthquake catalog spanning May 30, 2008 to April 1, 2022 built using Transportable Array seismometer T25A.

Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection: datasets

This archive contains the datasets used for generating the plots shown in the paper entitled "Time/frequency-domain characterization of a mid-IR DFG frequency comb via two-photon and heterodyne detection", authored by Tecla Gabbrielli, Giacomo Insero, Michele De Regis, Nicola Corrias, Iacopo Galli, Davide Mazzotti, Paolo Bartolini, Jeong Hyun Huh, Carsten Cleff, Alexander Kastner, Ronald Holzwarth, Simone Borri, Luigi Consolino, Paolo De Natale, and Francesco Cappelli.  A README file describing the contained data and how to elaborate them is also provided.

opencc-by-sa-4.0Jun 2023View details →

Wrist-worn sensor validation for heart rate variability and electrodermal activity detection in a stressful driving environment

The current dataset contributes to assess the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Heart Rate Variability (HRV) and ElectroDermal Activity (EDA) signals were recorded over six experimental conditions (i.e., Baseline, Video Clip, Scream, No Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The raw quality of the physiological signals was enhanced by means of robust semi-automatic reconstruction algorithms. Heart Rate Variability time-domain parameters showed high accuracy in motion-free experimental conditions, while Heart Rate Variability frequency-domain parameters reported sufficient accuracy in almost every experimental condition.

opencc-by-4.0Jun 2021View details →

Covid_19 Misinformation Detection Dataset

This data contains tweets collected from fact-checking websites and reliable organizations with expertise relating to covid_19. It is useful for spotting misinformation among facts. <div class="chakra-portal"> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div> <div> </div> </div>

opencc-by-4.0Nov 2023View details →

Dataset Artifact for Prodigy: Towards Unsupervised Anomaly Detection in Production HPC Systems

The dataset contains a small set of application runs from Eclipse supercomputer. The applications run with and without synthetic HPC performance anomalies. More detailed information regarding synthetic anomalies can be found at: https://github.com/peaclab/HPAS. We have chosen four applications, namely LAMMPS, sw4, sw4Lite, and ExaMiniMD, to encompass both real and proxy applications. We have executed each application five times on four compute nodes without introducing any anomalies. To showcase our experiment, we have specifically selected the "memleak" anomaly as it is one of the most commonly occurring types. Additionally, we have also executed each application five times with the chosen anomaly. The dataset we have collected consists of a total of 160 samples, with 80 samples labeled as anomalous and 80 samples labeled as healthy. For the details of applications please refer to the paper. The applications were run on Eclipse, which is situated at Sandia National Laboratories. Eclipse comprises 1488 compute nodes, each equipped with 128GB of memory and two sockets. Each socket contains 18 E5-2695 v4 CPU cores with 2-way hyperthreading, providing substantial computational power for scientific and engineering applications.

Datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells

Different datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells. The repository contains .zip archives, mostly containing a readme file with additional information. <pre>Cell imaging experiments.zip contains the raw image files acquired on arrays of version 1 or version 2 using a Nikon TI inverted microscope and used in figures 4-6. </pre> Gla_0127_14.zip contains SEM images of the fabrication of arrays of version 1 Gla_29_Pd_1.zip contains SEM images of the fabrication of arrays of version 2 SM experiments.zip contains the raw single-molecule fluorescence data acquired on an array of version 1 using a PicoQuant Microtime microscope together with the analysis files. FDTD simulations.zip contains the simulation files for the use in the software Lumerical

A Spectroscopic Study of Mars-Analog Materials with Amorphous Sulfate and Chloride Phases: Implications for Detecting Amorphous Materials on the Martian Surface

This repository contains the raw and baseline or continuum corrected data associated with the manuscript entitled:  A Spectroscopic Study of Mars-Analog Materials with Amorphous Sulfate and Chloride Phases: Implications for Detecting Amorphous Materials on the Martian Surface This work is being submitted to The Planetary Science Journal ABSTRACT The Chemistry and Mineralogy X-ray diffraction (XRD) instrument aboard the Curiosity rover has consistently identified substantial amorphous material at Gale Crater. The amorphous component is compositionally variable, but often includes elevated sulfur and iron, suggesting that amorphous ferric sulfate (AFS) may be present. Understanding the spectral changes of common Martian materials exposed to ferric sulfate brines as they desiccate to AFS is a key step in bridging the gap between simple mixing studies and analyses of complex/realistic reaction assemblages. Visible and near-infrared reflectance (VNIR), mid-infrared attenuated total reflectance (MIR, FTIR-ATR), and Raman spectra, along with XRD data are presented for basaltic glass, hematite, gypsum, nontronite, and magnesite, each at three grain sizes (<25, 25-63, and 63-180 μm), mixed with ferric sulfate alone or also with NaCl, hydrated through deliquescence, and then rapidly desiccated in 11% relative humidity or via vacuum. All desiccated products are partially or completely XRD amorphous; crystalline phases include starting materials and trace precipitates, leaving the bulk of the ferric sulfate in the amorphous fraction. Due to considerable spectral masking, the detectability of AFS is highly dependent on spectroscopic technique and the observed mineral assemblage. This has strong implications for remote and in-situ observations of Martian samples which include an amorphous component. AFS is only identifiable in VNIR spectra for magnesite, nontronite, and gypsum samples; hematite and basaltic glass samples appear similar to pure materials. Sulfate features dominate Raman spectra for nontronite and basaltic glass samples; the analog material dominates Raman spectra of hematite and gypsum samples. MIR spectra reveal all end members most clearly except for basaltic glass samples, where the analog material is almost completely masked. NaCl leads to similar FTIR-ATR and Raman features, regardless of analog material. Associated photographs of samples in this project can be found at: https://www.lionsandlamms.com/ This research was supported by NSF award #1819209.

opencc-zeroJun 2023View details →

dryad40/100

Power of Bayesian and heuristic tests to detect cross-species introgression with reference to gene flow in the Tamias quadrivittatus group of North American chipmunks

In the past two decades genomic data have been widely used to detect historical gene flow between species in a variety of plants and animals. The Tamias quadrivittatus group of North America chipmunks, which originated through a series of rapid speciation events, are known to undergo massive amounts of mitochondrial introgression. Yet in a recent analysis of targeted nuclear loci from the group, no evidence for cross-species introgression was detected, indicating widespread cytonuclear discordance. The study used the heuristic method HyDe to detect gene flow, which may suffer from low power. Here we use the Bayesian method implemented in the program bpp to reanalyze these data. We develop a Bayesian test of introgression, calculating the Bayes factor via the Savage-Dickey density ratio using the Markov chain Monte Carlo (MCMC) sample under the model of introgression. We take a stepwise approach to constructing an introgression model by adding introgression events onto a well-supported binary species tree. The analysis detected robust evidence for multiple ancient introgression events affecting the nuclear genome, with introgression probabilities reaching 63%. We estimate population parameters and highlight the fact that species divergence times may be seriously underestimated if ancient cross-species gene flow is ignored in the analysis. We examine the assumptions and performance of HyDe, and demonstrate that it lacks power if gene flow occurs between sister lineages or if the mode of gene flow does not match the assumed hybrid speciation model with symmetrical population sizes. Our analyses highlight the power of likelihood-based inference of cross-species gene flow using genomic sequence data.

Research data supporting: "Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling"

This repository contains the set of data shown in the paper "Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling" published on PNAS (DOI: 10.1073/pnas.2300565120).

CEP-based Activity Detection Services generated from IoT Data

Data set accompanying the paper "Data-driven Generation of Services for IoT-based Online Activity Detection" submitted to the International Conference on Service-Oriented Computing (ICSOC) 2023. The data set has 6 automatically generated activity detection services (*.siddhi files) for 6 different types of activities executed by 6 different production stations in a smart factory. The *.siddhi files have to be deployed to and activated on an instance of the <a href="http://siddhi.io">Siddhi</a> complex event processing platform. The data set includes the corresponding low-level IoT data for each activity (activity signature) that was used to generate the activity detection service (*.txt files). It also includes a visual representation of the activity signature for each type of activity (*.png files). To test the activity detection services, the *.txt files have to be read line by line, each line has to be send as one MQTT message to an MQTT broker and topic that the activity detection service is also listening to (standard: localhost).

opencc-by-4.0Oct 2022View details →

Data from the manuscript 'Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context'

Data sets from the manuscript 'Accurate detection of shared genetic architecture from GWAS summary statistics in the small-sample context'. These include the test statistics from analyses of real and simulated data, and the data used to generate the figures relating to the goodness-of-fit of the generalised extreme value distribution to the GPS test statistics under the null. Please see the enclosed README for more details.

openother-openJun 2023View details →

Dataset of chemicals of emerging concern detected in streams and rivers of Central Chile

This repository encompasses the environmental concentrations of chemicals of emerging concern (CECs) occurring in surface water samples obtained from streams and rivers in Central Chile, specifically the River Aconcagua basin.

Supporting data for "Detection of single ions in a nanoparticle coupled to a fiber cavity"

Data for Fig. 2b, 2d, 3 and 4 of the paper "Detection of single ions in a nanoparticle coupled to a fiber cavity"

opencc-by-4.0Jun 2022View details →

CFAD: A Chinese Dataset for Fake Audio Detection

Fake audio detection is a growing concern and some relevant datasets have been designed for research. However, there is no standard public Chinese dataset under complex conditions. In this paper, we aim to fill in the gap and design a Chinese fake audio detection dataset (CFAD) for studying more generalized detection methods. Twelve mainstream speech-generation techniques are used to generate fake audio. To simulate the real-life scenarios, three noise datasets are selected for noise adding at five different signal-to-noise ratios, and six codecs are considered for audio transcoding. CFAD dataset can be used not only for fake audio detection but also for detecting the algorithms of fake utterances for audio forensics. Baseline results are presented with analysis. The results that show fake audio detection methods with generalization remain challenging. The CFAD dataset is publicly available on GitHub https://github.com/ADDchallenge/CFAD   CFAD dataset considers 12 types of fake audio, 11 of which are generated by different speech synthesis techniques and the remaining one is partially fake type. Partially fake audio is completely different from synthesis speech and thus can better evaluate the generalization of the detection model to unknown types. The real audio is collected from 6 different corpora to increase the diversity of real category distributions, which makes model less prone to artifact from a single database. For robustness evaluation, we additionally simulate background noise and media codecs that might occur in real life and provide detailed labels, including fake type, real source, noise type, signal noise ratio (SNR), and media codecs. Overall, CFAD dataset consists of three different versions, named clean, noisy, and codec versions. Each version of the dataset is divided into disjoint training, development, and test sets in the same way. There is no speaker overlap across these three subsets. Each test set is further divided into seen and unseen test sets. Unseen test sets can evaluate the generalization of the methods to unknown types. It is worth mentioning that both real audio and fake audio in the unseen test set are unknown to the model. For the noisy speech part, we select three noise databases for simulation. Additive noises are added to each audio in the clean dataset at 5 different SNRs. The additive noises of the unseen test set and the remaining subsets come from different noise databases. For the codec speech part, we select six different codecs. Two of them are applied for unseen test set. In each version (clean, noisy, and codec versions) of the CFAD dataset, there are 138400 utterances in training set, 14400 utterances in development set, 42000 utterances in seen test set, and 21000 utterances in unseen test set.   Clean Real Audios Collection From the point of eliminating the interference of irrelevant factors, we collect clean real audios from two aspects: 5 open resources from OpenSLR platform (http://www.openslr.org/12/) and one self-recording dataset.    Clean Fake Audios Generation We select 11 representative speech synthesis methods to generate the fake audios and one partially fake audios.   Noisy Audios Simulation Noisy audios aim to quantify the robustness of the methods under noisy conditions. To simulate the real-life scenarios, we artificially sample the noise signals and add them to clean audios at 5 different SNRs, which are 0dB, 5dB, 10dB, 15dB and 20dB. Additive noises are selected from three noise databases: PNL 100 Nonspeech Sounds, NOISEX-92, and TAU Urban Acoustic Scenes.   Audio Transcoding The Codec version aims to quantify the robustness of the methods under different format conversions. We select a total of six codecs. For the training, development, and seen test sets in codec version, mp3, flac, ogg, and m4a are used. For the unseen test set of the codec version, aac, and wma are used. Audio transcoding operation is operated on the audio in the clean version. Each clean audio will be randomly transformed with one of the candidate codecs and converted back to original WAV files using ffmpeg toolkits.     This data set is licensed with a CC BY-NC-ND 4.0 license. You can cite the data using the following BibTeX entry.

Whole-Genome Detection using Multivalent DNA-Coated Colloids

Data of confocal images  and DNA sequence of a E.coli bl21-de3 genome presented in a PNAS publication.

Land Water Transition Zone Change Detection - Hydroperiod Maps - WQeMS raster products

Within this dataset, Hydroperiod maps of the Polyphytos open surface water reservoir in Greece and Giaretta reservoir in Italy are available in GeoTIFF raster format. The maps provide information about the total number of days each pixel is inundated within a specific time period.They were generated by the Land Water Transition Zone Change Detection service of the WQeMS project. Each raster file in the dataset is named according to the water body and period during which the processing was performed. Copernicus Sentinel-2 data was utilized for the generation of the inundation maps which were provided as input for the production of the hydroperiod maps.

Land Water Transition Zone Change Detection - Transition Maps between two dates - WQeMS raster products

Within this dataset, land water transition zone maps, which indicate the land-water transition between two instances in time, of the Polyphytos open surface water reservoir in Greece and Giaretta reservoir in Italy, are available in GeoTIFF raster format. The maps depict the transition zones by indicating the change of the pixel status from non-inundated to inundated and vice versa between two provided dates. They were generated by the Land Water Transition Zone Change Detection service of the WQeMS project. Each raster file in the dataset is named according to the water body and the two dates during which the processing was performed. Copernicus Sentinel-2 data was utilized for the generation of the inundation maps on the two dates.

Bloom Events Detection - WQeMS Raster Products

This dataset contains samples of the Bloom Events Detection service of the WQeMS H2020 project.