cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7668251
title: EMG hand gesture dataset

description: This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by eight subjects. The data is store in a folder for each one of the subjects, each folder, contains 5 files, one for each gesture. The files contain the sEMG data of 4 sEMG channels placed on the forearm. The gestures are: open hand, closed hand, lateral pinch, signaling sign, rock sign. A file with a demo Recurrent Neural Network is also included. The reader may refer to the following articles for more information about the dataset: LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals and A Proposal of Bioinspired Soft Active Hand Prosthesis.
DOI: 10.5281/zenodo.1213175
title: The Causal Role Of The Somatosensory Cortex In Prosocial Behavior - Pain Localizer

description: Participants with no reported neurological, psychiatric, or other medical problems or any contraindication to fMRI, underwent a total of 40 electrical and 40 mechanical stimulations, split in 8 runs (4 electrical and 4 mechanical) of 10 (5 high intensity and 5 low intensity) stimulations each on their right hand. For more information about task please refer to the pubblication. See the associated readme file for more details.
DOI: 10.5281/zenodo.7641890
title: Wind-driven hydrodynamic characteristics of Lake Taihu, a large shallow lake in China

description: Measured hydrological data of Lake Taihu in 2017.
DOI: 10.5281/zenodo.4647907
title: GHUB

description: For the latest version, see: https://zenodo.org/record/5168383
DOI: 10.5281/zenodo.1287912
title: Input Data Of Matrace Global Model

description: Complete set of model data for the MaTrace Global model of metal cycles, published in Resources Conservation and Recycling with the DOI 10.1016/j.resconrec.2016.09.029
DOI: 10.5281/zenodo.5770289
title: DDoS Attacks Data Set - Consolidated from CICDDOS2019 and CICIDS2017

description: This dataset is a transformation of the CICDDOS2019 collection of datasets by Iman Sharafaldin et al. (2019). All datasets have been combined and have had their labels standardised. Infinity values have been removed. A supplement of Benign tuples has been introduced from CICIDS2017, another collection of datasets by Iman Sharafaldin et al. (2018), to increase the proportion of Benign tuples within the dataset. Our paper: source1, source 2 (preprint).
description: {"references": ["Sharafaldin, I., Lashkari, A.H., Hakak, S. and Ghorbani, A.A., 2019, October. Developing realistic distributed denial of service (DDoS) attack dataset and taxonomy. In 2019 International Carnahan Conference on Security Technology (ICCST) (pp. 1-8). IEEE.", "Sharafaldin, I., Lashkari, A.H. and Ghorbani, A.A., 2018. Toward generating a new intrusion detection dataset and intrusion traffic characterization. ICISSp, 1, pp.108-116."]}
DOI: 10.57760/sciencedb.space.00526
title: The active region of EUV multi-wavelength images
title: EUV活动区多波段图像

description: We generated a dataset consisting of EUV images of the active regions observed by the Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) from 2010 to 2016.
description: We generated a dataset consisting of EUV images of the active regions observed by the Solar Dynamics Observatory (SDO)/Atmospheric Imaging Assembly (AIA) from 2010 to 2016.
DOI: 10.5281/zenodo.3936247
title: Acoustic emission characterization of coral sands during drained triaxial shearing

description: These dataset was derived from saturated coral sands subjected to drained triaxial shearing, combing with a high-performance AE measurement system.
DOI: 10.5281/zenodo.4495536
title: Machine Learning Dataset for Poultry Diseases Diagnostics

description: The annotated dataset of poultry diseases diagnostics for small to medium scale poultry farmers consists of poultry fecal images. The poultry fecal images were taken in Arusha and Kilimanjaro regions in Tanzania between September 2020 and December 2020 using Open Data Kit (ODK) app on mobile phones. The typical normal fecal material which is the ‘healthy’ class and Coccidiosis disease, the ‘cocci’ class were taken from poultry farms. The chickens were inoculated for Salmonella disease and fecal images taken from the diseased chickens for the ‘salmo’ class after one week. All images are in the <strong>.zip files</strong>; “cocci.zip” has 2103 images, “healthy.zip” has 2057 images, “salmo.zip” has 2276 images. A total of 6,436 image files are labeled. The “imgObjDet_Yolo.zip” and “imgSegmentation.zip” files consist of the corresponding annotations for object detection on YOLO framework and JSON files for semantic segmentation tasks respectively.
DOI: 10.5281/zenodo.4263971
title: PEMS-BAY

description: PEMS-BAY dataset <pre><code>@inproceedings{li2018dcrnn_traffic, title={Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting}, author={Li, Yaguang and Yu, Rose and Shahabi, Cyrus and Liu, Yan}, booktitle={International Conference on Learning Representations (ICLR '18)}, year={2018} }</code></pre>
DOI: 10.5281/zenodo.4471357
title: Traffic Detection Datasets

description: <em>Public (anonymized) road traffic detection datasets from Huawei Munich Research Center.</em> Traffic detection datasets from a variety of traffic sensors (i.e. induction loops). The data is useful for traffic indexing, dominant flows detection, forecasting traffic patterns, and adjusting stop-light control parameters, i.e. cycle length, offset and split times. There are three datasets: <strong>RM </strong>is a real-life dataset collected in the period of March 2020 from traffic detectors in an area of a Chinese city. The detectors were located in 6 intersections monitoring the traffic on 44 road edges. Each detector was collecting data every 1 second for all the road edges in its radius. In total, 2894174 detections were collected, from 337089 different vehicles. <strong>COM </strong>is a synthetic dataset that generated in the same road network as the real-life data RM and RD, with the difference that we included detectors in the 2 intersections where the real scenario didn’t have. Then, we generated equally random trips over the road network. In total we generated 18910 detections from 7500 vehicles. <strong>GRID </strong> was created using the SUMO Simulation of Urban Mobility [2]. We randomly generated trips on a 10𝑥10 intersections grid road network using a utility from SUMO that equally generates trips over the road network. Then, running the simulation and using TraCI Traffic Control Interface library [3] we read the simulation data and collect the detections. The simulation collected data include 1806141 detections from 135618 different vehicles. The datasets were used in the Querying Top-k Dominant Traffic Flows on Large Urban Road Networks [1] paper. [1] Stella Maropaki, Paolo Sottovia, and Stefano Bortoli. 2021. Querying Top-k Dominant Traffic Flows on Large Urban Road Networks. In 2021 24th International Conference on Extending Database Technology (EDBT).
description: {"references": ["Daniele Foroni, Paolo Sottovia, Stella Maropaki, & Stefano Bortoli. (2021). Traffic Detection Datasets. (Version v1.0.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4471357"]}
DOI: 10.5281/zenodo.5873773
title: Normal Retinotopy in Primary Visual Cortex in a Congenital Complete Unilateral Lesion of Lateral Geniculate Nucleus in Human: A Case Study

description: The data set contains .nii files for each condition of retinotopic mapping in fMRI. (Meridians, Wedges and concentric rings). It also contains DTI data files with .bvec and .bval files. Psychophysics data is in two excel files for motion and orientation discrimination.
DOI: 10.5281/zenodo.5094937
title: Training material - NBC- newspapers FR CH

description: List of articles used to training a naive Bayes classifier, selected from French language Swiss newspapers, extracted from the impresso app.
DOI: 10.5281/zenodo.154737
title: Evaluation Of Android Malware Detection Based On System Calls - Dataset

description: This is a data set accompanying a paper "Evaluation of Android Malware Detection Based on System Calls" published in the proceedings of the International Workshop on Security and Privacy Analytics, New Orleans, USA, 2016.

See README.md for details of the data set.
DOI: 10.5281/zenodo.3874441
title: FLUID: Bio-optical water quality parameters (in-situ 2017-2019) in 4 Baltic lakes

description: The database consists bio-optical measurements done under FLUID<sup>1</sup> project in 4 different lakes (Burtnieks, Lubans, Razna and Võrtsjärv) during 2017-2019. The listed parameters are: LAKE (name) DATE TIME (local time) LAT (latitude) LON (longitude) Air T (air temperature in Celcius) Water T (water temperature in 0.5 m depth in Celcius) DO (dissolved oxygen in ppm) O2 (O2 saturation in %) Secchi (in meters) Chl a (chlorophyll-a in mg/m3) Pheo (pheopigments in mg/m3) TSS (total suspended sediments in mg/l) OSS (organinc suspended sediments in mg/l) MSS (mineral suspended sediments in mg/l) CDOM (absorption of coloured dissolved organic matter at 400 nm) TN (total nitrogen in mg/l) TP (total phosphorus in mg/l) CO2 (carbon dioxide in mg/l) <sup>1</sup>FLUID is funded by ERDF, Latvian state budget and IES proposal No.1.1.1.2/VIAA/1/16/137, Contract No. 1.1.1.2/16/I/001 “Innovative tool for lake monitoring using remote sensing data"
DOI: 10.1594/pangaea.859521
title: Current measurements at ADCP station ADCP_20130904
DOI: 10.5281/zenodo.10066877
title: Determination of borehole tiltmeter orientation using earth tides

description: These data are used in the article Determination of borehole tiltmeter orientation using earth tides. LSBB 2012, LSBB 2021 and ETNA 2022 datasets are measured by optical borehole tiltmeters with a sampling frequency of 1 Hz. They contain four columns: number, channel d1, channel d2, and channel d3. ETNA 2023 dataset is measured by LILY tiltmeter, comprising three columns: time, ux, and uy.
DOI: 10.5281/zenodo.6757991
title: Lightning waveform data

description: The initials N and P in the name of each file represent negative and positive, respectively.
DOI: 10.1594/pangaea.704784
title: (Tables 5-6) Composition of apatites from DSDP Site 47-397A
DOI: 10.1594/pangaea.813677
title: Underway physical oceanography and carbon dioxide measurements during MINERVE cruise Minerve-07

description: Cruise QC flag: D (see further details)
DOI: 10.5281/zenodo.4471943
title: Data from: Output planning at the input stage in visual working memory.

description: Raw behavioral logfiles and EEG datasets of experiments 1 and 2 reported in the manuscript "Output planning at the input stage in visual working memory", by Sage E.P. Boettcher, Daniela Gresch, Anna C. Nobre, Freek van Ede
DOI: 10.1594/pangaea.906570
title: Collated apatite trace element data (ppm) from the literature

description: This database contains trace element compositional data for apatite from 23 published (cited) datasets on bedrock apatite trace element compositions.
description: IM = Mafic I-type granitoids and Mafic Igneous rocksS = Felsic Granitoids (i.e. Aluminium Saturation Index &gt; 1.1)LM = Low- and medium-grade metamorphic rocks (i.e. sub-upper-amphibolite facies) and eclogitesHM = High-grade (HT) metamorphic rocks and migmatitesUM = Ultramafic rocksALK = Alkali-rich igneous rocksAUT = Authigenic and fossil apatiteExplanation for this databaseThe intended use of this database is to support provenance studies by providing a database of apatite from known bedrocks of known composition against which detritus can be compared. This database will also find use for tephra vectoring and ore-deposit vectoring.The database incorporates apatite trace element data from almost all common lithologies on the Earth Surface, though data from orthogneisses is lacking.It is the authors' intention to update this database as more data become available or are deemed suitable for inclusion.The authors of this submission have added category labels to the data. These are derived partly from the results of K-means tests and PCA transformations previously performed upon the data, and are also simply derived from the names that the original authors of each of the constituent papers that constitute this database identified the rocks as. Users should feel free to use these categories or ignore them as they wish.Data were selectively incorporated into this dataset, not all data-points from the papers from which these data were collated are published here. In particular, rocks identified by the authors' of the original data that were identified as having been metasomatised were avoided, as they defy easy categorisation. Only the central values (in ppm) are provided.Some of the bedrocks were published with only mean values, others by each spot analysis, this is indicated in the database.All data were collected by ICPMS.
DOI: 10.5281/zenodo.3662152
title: ECG, PPG, RSP signals from athletes and non-athletes during exercise - iAMwell

description: A physiological signals database of electrocardiography (ECG), plethysmograph (PPG) and inductive plethysmography-respiration of athletes and non-athletes during an experiment, which includes stages of rest, exercise and rehabilitation
DOI: 10.5281/zenodo.6563153
title: Augmented Brain Tumor Multimodal Dataset Based on Reconstruction Consistency Loss

description: We solved the problem that the brain MRI data only has the T2 modality and the other three modalities are missing. The data synthesis of the missing modal I data was completed, and the missing modal data of Flair, T1, and T1ce were completed, and 10,685 pieces of data were generated for each group of modalities.
DOI: 10.5281/zenodo.7637557
title: EMG hand gesture dataset

description: This dataset contains surface electromyography (sEMG) data of 5 different hand gestures performed by eight subjects. The data is store in a folder for each one of the subjects, each folder, contains 5 files, one for each gesture. The files contain the sEMG data of 4 sEMG channels placed on the forearm. The reader may refer to the following articles for more information about the dataset: LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals and A Proposal of Bioinspired Soft Active Hand Prosthesis. The gustures are: open hand, closed hand, lateral pinch, signaling sign, rock sign.
DOI: 10.15468/dl.ebs4a3
title: Occurrence Download

description: A dataset containing 1384097 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rutilus rutilus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1384097 records from 678 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010938-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4556905
title: WACCM4 data

description: The WACCM4 data.
DOI: 10.5281/zenodo.4662041
title: Result: Progression of Revenue and IMDb Score of Oscar "Best Picture" Winners From 1986 Until 2016

description: This dataset represents the results of the experiment <em>Progression of Revenue and IMDb Score of Oscar "Best Picture" Winners From 1986 Until 2016</em>. Its latest released version of source code can be found at https://doi.org/10.5281/zenodo.4661145.
description: {"references": ["Fontes, Raphael. (2020, February). The Oscar Award, 1927 - 2020, Version 7. Retrieved March 27, 2021 from https://www.kaggle.com/unanimad/the-oscar-award/version/7.", "Grijalva, Daniel. (2017, October). Movie Industry, Version 2. Retrieved March 27, 2021 from https://www.kaggle.com/danielgrijalvas/movies/version/2."]}
DOI: 10.5281/zenodo.6514945
title: Passive radar dataset

description: The data is collected using millimeter-wave radar IWR1642 in receiver-only configuration (passive mode) for four cases namely, single AWR1642 as an ECM jammer, and single AWR2944 as an ECM jammer, two AWR1642 as jammers, and three AWR devices as jammers at shorter distances. The data is useful for estimating the angle of arrival in single and multi-jammer scenarios.
DOI: 10.5281/zenodo.10392968
title: 2020-2022-glacier-elevation-change-data-in-Muztag-Ata-and-Western-Nyainqentanglha-from-Pleiades-DEMs

description: This data set provides outlier removed, gap filled elevation change values (in meters) of the glaciers in the Muztagh Ata and Western Nyainqentanglha massif in High Mountain Asia from 2020 to 2022.
DOI: 10.5281/zenodo.1341583
title: PRONTO heterogeneous benchmark dataset

description: The PRONTO heterogeneous benchmark dataset is based on an industrial-scale multiphase flow facility. It includes data from heterogeneous sources, including process measurements, alarm records, high frequency ultrasonic flow and pressure measurements, an operation log and video recordings. The study collected data from various operational conditions with and without induced faults to generate a multi-rate, multi-modal dataset. The dataset is suitable for developing and validating algorithms for fault detection and diagnosis (FDD) and data fusion. 

When using the dataset please cite the following publication:

A. Stief, R. Tan, Y. Cao, J. R. Ottewill, N. F. Thornhill, J. Baranowski, A heterogeneous benchmark dataset for data analytics: Multiphase flow facility case study, Journal of Process Control, 79 (2019) 41–55, DOI: https://doi.org/10.1016/j.jprocont.2019.04.009

The dataset has been used in the following works:

A. Stief, R. Tan, Y. Cao, J. R. Ottewill. Analytics of heterogeneous process data: Multiphase flow facility case study. IFAC-PapersOnLine, 51(18):363–368, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.327

A. Stief, J. R. Ottewill, R. Tan, Y. Cao. Process and alarm data integration under a two-stage Bayesian framework for fault diagnostics. IFAC-PapersOnLine, 51(24):1220–1226, 2018. DOI: https://doi.org/10.1016/j.ifacol.2018.09.696

A. Stief, J. R. Ottewill, J. Baranowski. Investigation of the diagnostic properties of sensors and features in a multiphase flow facility case study. in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019

M. Lucke, X. Mei, A. Stief, M. Chioua, N. F. Thornhill. Variable selection for fault detection and identification based on mutual information of multi-valued alarm series, in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019

R. Tan, T. Cong, N. F. Thornhill, J. R. Ottewill, J. Baranowski. Statistical monitoring of processes with multiple operating modes, in: 12<sup>th</sup> IFAC Symposium on Dynamics and Control of Process Systems (in press), 2019.
DOI: 10.5281/zenodo.6950532
title: Biotic and abiotic drivers of coalescence asymmetry between soil and manure microbiomes

description: The dataset includes bacterial and fungal OTU tables for all soil and manure samples after 180 days incubation, bacterial and fungal OTU abundance tables, the data for variance partitioning analysis, and the phylogenetic trees for calculating MNTD.
DOI: 10.5281/zenodo.6516954
title: mmWave IWR1642 dataset

description: Dataset consists of IQ data for multiple targets taken in the presence and in the absence of spot-jammer for ultra short range and short range mode of mmWave radar sensor IWR1642. AWR1642 is a spot-jammer. Each receiving elements data is in the form of number of ADC (analog to digital converter) samples by number of chirps by number of frames collected experimentally.
DOI: 10.5281/zenodo.4319722
title: Walkaway VSP data and image results

description: The walkaway VSP data used in a submitted paper ("Fractured-basement imaging using random-space-shift reverse-time-migration: a vertical seismic profile survey in northeast China").
DOI: 10.5281/zenodo.5336611
title: Pre-processed Tweets by verified users, Elon Musk, Vitalik Buterin and CZ Binance

description: This dataset comprises of tweets from verified users, Elon Musk, Vitalik Buterin and CZ Binance that have keywords "bitcoin", "cryptocurrency", "btc" and "crypto"
DOI: 10.5281/zenodo.2652084
title: SIEVE dataset

description: SIEVE dataset
DOI: 10.5281/zenodo.803267
title: UVA Tibetan Spoken Corpus

description: This corpus of spoken Tibetan was compiled in Tibet in the early 2000s by the Tibetan and Himalayan Digital Library project based at the University of Virginia. Aligned video and audio files are available at the Shanti homepage of UVA (see shanti.virginia.edu).
DOI: 10.5281/zenodo.3734970
title: H2020 BuildHeat - Retrofit protocols

description: The high share of energy consumption of the residential sector and the low renovation rate of existing buildings move through the need of finding solutions that facilitate the retrofit process. In this context, a set of retrofit solutions packages are studied for different multi-family house typologies located through Europe. Intervention on the envelope follows the actual national minimum requirements for energy efficiency, different efficient heating and cooling systems are recommended for the different building typologies and renewable energies technologies are considered for contributing to the reduction of energy consumption. Energy performance of the retrofit packages, energy savings and running costs are assessed through dynamic simulations for all the studied cases. The available documents are: - <strong>BuildHeat_T4.3_Database_ONLINE.xlsx</strong>: dataset of the simulation-based results. The studied retrofit packages applied to the building typologies in different locations are modelled in the TRNSYS environment and dynamic simulations through one year are run. The file collects energy performance of the reference case, energy performance of the retrofit case, divided by energy use (space heating, space cooling, Domestic Hot Water use, mechanical ventilation), and energy cost. - <strong>D4.4_BuildHeat_Report on systemic retrofit packages.pdf</strong>: document where the modelling of the project case studies is described in detail. The report includes energy performance, energy savings and energy costs. These case studies are used as reference case for the retrofit protocols definition. - <strong>D4.5_BuildHeat_Retrofit_protocols.pdf</strong>: Description of the studied building typologies, locations, retrofit packages including intervention on the envelope, replacement of the HVAC system and adoption of renewable energy technologies. This document contains the results reported in the dataset.
DOI: 10.5281/zenodo.5770290
title: DDoS Attacks Data Set - Consolidated from CICDDOS2019 and CICIDS2017

description: This dataset is a transformation of the CICDDOS2019 collection of datasets by Iman Sharafaldin et al. (2019). All datasets have been combined and have had their labels standardised. Infinity values have been removed. A supplement of Benign tuples has been introduced from CICIDS2017, another collection of datasets by Iman Sharafaldin et al. (2018), to increase the proportion of Benign tuples within the dataset. Our paper: source1, source 2 (preprint).
description: {"references": ["Sharafaldin, I., Lashkari, A.H., Hakak, S. and Ghorbani, A.A., 2019, October. Developing realistic distributed denial of service (DDoS) attack dataset and taxonomy. In 2019 International Carnahan Conference on Security Technology (ICCST) (pp. 1-8). IEEE.", "Sharafaldin, I., Lashkari, A.H. and Ghorbani, A.A., 2018. Toward generating a new intrusion detection dataset and intrusion traffic characterization. ICISSp, 1, pp.108-116."]}
DOI: 10.57760/sciencedb.space.00492
title: MHD Modeling of the Background Solar Wind in the Inner Heliosphere from 0.1 to 5.5 AU: Comparison with In-Situ Observations"_dataSet
title: 0.1-5.5AU内日球层背景太阳风的MHD模拟：与现场观测的比较数据集（测试）

description: Simulation data for the publication "MHD Modeling of the Background Solar Wind in the Inner Heliosphere from 0.1 to 5.5 AU: Comparison with In-Situ Observations"en descriptionen descriptionen descriptionen descriptionen descriptionen descriptionen description
description: Simulation data for the publication "MHD Modeling of the Background Solar Wind in the Inner Heliosphere from 0.1 to 5.5 AU: Comparison with In-Situ Observations"en descriptionen descriptionen descriptionen descriptionen descriptionen descriptionen description