cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/kget-zd49
title: UAV Attack Dataset

description: This dataset was created for the following paper: https://dlnext.acm.org/doi/10.1145/3416013.3426446Simulation of multiple UAV platforms with both benign flights and malicious flights where UAV experiences GPS spoofing attack. Simulation environment follows standard Gazebo/PX4 setup (https://dev.px4.io/v1.9.0/en/simulation/gazebo.html). When the attack starts, normal GPS messages are stopped and injected messages are created and sent from the Gazebo environment to the autopilots GPS sensor for 30 seconds. An autonomous survey flight is conducted over the University (~20min flight time). Full flight plan is located in the dataset package as "OTU-Survey.plan". The following UAV platforms are used:3DR IRIS+ - Quadcopter, SITLHolybro S500 - Quadcopter, HITLYuneec H480 - Hexacopter, SITLDeltaQuad VTOL - VTOL, SITLPX4 Standard Tailsitter - Tailsitter, SITLPX4 Standard Plane - Plane, SITL
DOI: 10.21227/0d9t-pe95
title: 25 kVA Wind -Part 1

description: This dataset is in support of my 2 original Research Papers - (i) " -Connected Wind - Part 1 " and (ii) Part 2 ", submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)These experiments are different from the exisiting approaches in the following ways(a) Simulation takes into account non-linearity viz, damper is non- linear, torque is not constant, backlash from the gears(b)(c)(d)(e)This dataset is related toThis simulation is designed taken into consideration the standards for the India, Delhi conditions, where this wind turbine will get conneced to the substation of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply) Rajdhani Power Limited.Abstract of the above submitted paper
DOI: 10.21227/j6pd-3z60
title: 6.66 kVA Solar

description: This dataset is in support of my original research paper " 6.66kVA Solar " submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60). Paper is under review.This is not connected to the grid. The other related dataset " " , where this will be connected to the inverter which in turn will be connected to grid.Though few similar kind papers are there, this paper is original and different from them as eviddent from the abstract and the transaction paper , and is based on the actual submitted project for funding. ( project didn't got any funding, though from self finances, submission was acceptable !)Abstract of the above submitted paper
DOI: 10.21227/ftjf-r711
title: 6.66 kVA Solar Inverter

description: This dataset is in support of my original research paper " 6.66 kVA Solar Inverter " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63)This experiment is different from the exisiting approaches in the following waysAbstract of the above submitted paper
DOI: 10.21227/vntx-g096
title: 25 kVA Wind-Part 2

description: This dataset is in support of my 2 original Research Papers - (i) " Grid-Connected Wind - Part 1 " and (ii) - Part 3 , submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)This dataset is related toThis experiment is different from the exisiting approaches in the following ways(a)(b)(c)(d)(e)Abstract of the above submitted paper
DOI: 10.21227/0w6m-y491
title: 25 kVA PFC

description: This dataset is in support of my original research paper " Grid-Connected Wind " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63). Abstract of the above submitted paper
DOI: 10.5281/zenodo.4273765
title: Co-seismic and post-seismic differential Interferograms and displacement maps for the 2020 M6.5 Monte Cristo Range, Nevada earthquake

description: Differential interferograms for the Mw 6.5 Monte Cristo, Nevada earthquake, processed with SNAP and CNR-IREA P-SBAS in the Geohazards Exploitation Platform. USGS event page for the Monte Cristo earthquake: https://earthquake.usgs.gov/earthquakes/eventpage/nn00725272/ Co-seismic and post-seismic (May 16 - May 23) interferograms are included. For each interferometric pair, three products are included: coherence, phase interferogram and unwrapped interferogram (LOS displacement). Decomposition.zip files includes the processed East-West and Vertical deformation maps from combining ascending and descending interferograms.
DOI: 10.21227/c634-1256
title: SRNE 4

description: SRNE4
DOI: 10.13140/rg.2.2.28293.78566
title: Smartphone-Based Optical Fiber Sensor for the Assessment of a Fed-Batch Bioreactor. 7th International Electronic Conference on Sensors and Applications, 15–30 November, 2020 - Supplementary Information 2 - Projected Case
DOI: 10.13140/rg.2.2.21582.89920
title: Smartphone-Based Optical Fiber Sensor for the Assessment of a Fed-Batch Bioreactor. 7th International Electronic Conference on Sensors and Applications, 15–30 November, 2020 - Supplementary Information 2 - Projected Case
DOI: 10.21227/9rs5-g082
title: 25 kVA Wind-Part 2

description: This dataset is in support of my 2 original Research Papers - (i) " -Connected Wind - Part 1 " and (ii) Part 2 ", submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)These experiments are different from the exisiting approaches in the following ways(a) Simulation takes into account non-linearity viz, damper is non- linear, torque is not constant, backlash from the gears(b)(c)(d)(e)This dataset is related toThis simulation is designed taken into consideration the standards for the India, Delhi conditions, where this wind turbine will get conneced to the substation of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply) Rajdhani Power Limited.Abstract of the above submitted paper
DOI: 10.21227/28xs-0683
title: 25 kVA PFC

description: This dataset is in support of my original research paper " Grid-Connected Wind " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63). Abstract of the above submitted paper
DOI: 10.21227/mwf2-dd77
title: 25 kVA Wind -Part 1

description: This dataset is in support of my original research paper " Grid-Connected Wind " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63). Abstract of the above submitted paper
DOI: 10.13140/rg.2.2.19905.17761
title: Smartphone-Based Optical Fiber Sensor for the Assessment of a Fed-Batch Bioreactor. 7th International Electronic Conference on Sensors and Applications, 15–30 November, 2020 - Supplementary Information 2 - Projected Case
DOI: 10.5281/zenodo.4274639
title: Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging

description: Data repository for: <strong>Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging</strong> <em>DataDescription.pdf</em><strong><em>: </em></strong>describes the uploaded data <em>Data (folder): </em>folder containing <em>data.xlsx</em>, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets <em>Code (folder): </em> contains Matlab code for converting and plotting certain data sets
description: We gratefully acknowledge financial support through the NCCR QSIT (Grant No. 185902), the Swiss Nanoscience Institute, the EU Quantum Flagship Project ASTERIQS (Grant No. 820394), and through the Swiss NSF Project Grants No. 188521 and No. 155845, and Spark Grant No. 190592.
DOI: 10.5281/zenodo.4274638
title: Replication Data for: "Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging

description: Data repository for: <strong>Parabolic Diamond Scanning Probes for Single-Spin Magnetic Field Imaging</strong> <em>DataDescription.pdf</em><strong><em>: </em></strong>describes the uploaded data <em>Data (folder): </em>folder containing <em>data.xlsx</em>, which summarizes all the data plotted in the paper as well as additional imaging and simulation data sets <em>Code (folder): </em> contains Matlab code for converting and plotting certain data sets
description: We gratefully acknowledge financial support through the NCCR QSIT (Grant No. 185902), the Swiss Nanoscience Institute, the EU Quantum Flagship Project ASTERIQS (Grant No. 820394), and through the Swiss NSF Project Grants No. 188521 and No. 155845, and Spark Grant No. 190592.
DOI: 10.5281/zenodo.4270352
title: SALAMI - Subjective Assessments of Legibility in Ancient Manuscript Images

description: We introduce a novel dataset of Subjective Assessments of Legibility in Ancient Manuscript Images (SALAMI) to serve as a ground truth for the development of quantitative evaluation metrics in the field of digital text restoration.<br> This dataset consists of 250 images of 50 manuscript regions with corresponding spatial maps of mean legibility and uncertainty, which are based on a study conducted with 20 experts of philology and paleography. <strong>Description of files:</strong> images input - rated test images mean_score_maps - spatial maps of mean legibility std_maps - spatial maps of uncertainty (standard deviation of legibility) src images.json - definition of source images contained in the dataset users.json - list of participants with their respective properties assessments.json - the main data generated by our experiments. salami_proc.py - contains python functions to process the .json files named above salami_proc_usage.py - uses the functions from salami_proc.py to reproduce the output images and statistical results described in the accompanying paper salami_llm.R - documents the linear mixed models analysis performed in R
DOI: 10.5281/zenodo.3751713
title: SALAMI - Subjective Assessments of Legibility in Ancient Manuscript Images

description: We introduce a novel dataset of Subjective Assessments of Legibility in Ancient Manuscript Images (SALAMI) to serve as a ground truth for the development of quantitative evaluation metrics in the field of digital text restoration.<br> This dataset consists of 250 images of 50 manuscript regions with corresponding spatial maps of mean legibility and uncertainty, which are based on a study conducted with 20 experts of philology and paleography. <strong>Description of files:</strong> images input - rated test images mean_score_maps - spatial maps of mean legibility std_maps - spatial maps of uncertainty (standard deviation of legibility) src images.json - definition of source images contained in the dataset users.json - list of participants with their respective properties assessments.json - the main data generated by our experiments. salami_proc.py - contains python functions to process the .json files named above salami_proc_usage.py - uses the functions from salami_proc.py to reproduce the output images and statistical results described in the accompanying paper salami_llm.R - documents the linear mixed models analysis performed in R
DOI: 10.6084/m9.figshare.13238966
title: SEIR modeling

description: This dataset is used for SEIR model simulation for HFMD cases in Thailand
DOI: 10.21227/za6f-w160
title: 25 kVA Wind -Part 1

description: This dataset is in support of my original research paper " Grid-Connected Wind " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63). Abstract of the above submitted paper
DOI: 10.21227/vay6-h163
title: 25 kVA Wind-Part 2

description: This dataset is in support of my 2 original Research Papers - (i) " -Connected Wind - Part 1 " and (ii) Part 2 ", submitted to "IEEE Transactions on Energy Conversion". (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=60)These experiments are different from the exisiting approaches in the following ways(a) Simulation takes into account non-linearity viz, damper is non- linear, torque is not constant, backlash from the gears(b)(c)(d)(e)This dataset is related toThis simulation is designed taken into consideration the standards for the India, Delhi conditions, where this wind turbine will get conneced to the substation of the local DISCOM,viz., BSES (Bombay Suburban Electric Supply) Rajdhani Power Limited.Abstract of the above submitted paper
DOI: 10.6084/m9.figshare.13230803
title: Table S2. ASVs number, sequence identity (%), accession number of the closest matches sequences of uncultured eukaryotes from the environmental samples of Arctic seas.

description: Supplementary Materials to <b>The pico-sized Mamiellophyceae and a novel <i>Bathycoccus</i> clade among the summer plankton of Russian Arctic Seas and adjacent waters</b>
DOI: 10.6084/m9.figshare.13230803.v1
title: Table S2. ASVs number, sequence identity (%), accession number of the closest matches sequences of uncultured eukaryotes from the environmental samples of Arctic seas.

description: Supplementary Materials to <b>The pico-sized Mamiellophyceae and a novel <i>Bathycoccus</i> clade among the summer plankton of Russian Arctic Seas and adjacent waters</b>
DOI: 10.34740/kaggle/dsv/1647858
title: US counties COVID 19 dataset
DOI: 10.21227/9qyc-2t17
title: 25 kVA PFC

description: This dataset is in support of my original research paper " Grid-Connected Wind " submitted to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63). Abstract of the above submitted paper
DOI: 10.21227/2bzh-z512
title: Baseline 2c

description: Very simple baseline considering the median value per smartmeter, using all months available.
DOI: 10.25345/c53f66
title: MassIVE MSV000086457 - Targeted degradation of the enhancer lysine acetyltransferases CBP and p300
title: The enhancer factors CBP/p300 maintain gene expression programs through lysine acetylation of chromatin and transcriptional regulators and by scaffolding functions mediated by several protein-protein interaction domains. We have designed dCBP-1, a compound that induces degradation of CBP/p300, and profiled its activity inducing global proteome changes in HAP1 and MM1S cells. The proteome changes were mapped using multiplexed quantitative proteomics (TMT11) and applying the SPS-MS3 method on either an Orbitrap Fusion or an Orbitrap Lumos Fusion mass spectrometer. The proteome was mapped 3 hours and 6 hours upon drug treatment. Samples were covered over two TMT sets for both time points. Samples for the 3 hours time points (HAP1 and MM1S) were analyzed using a total of 48 fractions on an Orbitrap Lumos mass spectrometer. Samples for the 6 hours time point (MM1S) were analyzed using a total of 20 fractions on an Orbitrap Fusion mass spectrometer. Samples were analyzed in three replicates (rep1-rep3). Pooled tryptic digests were used as bridge channels to compare proteome profiles from the two TMT sets mapped per time point. Samples were labeled as described in the following: 3 hours: HAP1_DMSO_3h_rep1 (Ott_3hours_TMT1_129c); HAP1_DMSO_3h_rep2 (Ott_3hours_TMT1_130n); HAP1_DMSO_3h_rep3 (Ott_3hours_TMT1_130c); HAP1_dCBP1_3h_rep1 (Ott_3hours_TMT2_129c); HAP1_dCBP1_3h_rep2 (Ott_3hours_TMT2_130n); HAP1_dCBP1_3h_rep3 (Ott_3hours_TMT2_130c); MM1S_DMSO_3h_rep1 (Ott_3hours_TMT1_126); MM1S_DMSO_3h_rep2 (Ott_3hours_TMT1_127n); MM1S_DMSO_3h_rep3 (Ott_3hours_TMT1_127c); MM1S_dCBP1_3h_rep1 (Ott_3hours_TMT1_128n); MM1S_dCBP1_3h_rep2 (Ott_3hours_TMT1_128c); MM1S_dCBP1_3h_rep3 (Ott_3hours_TMT1_129n); Bridge channels (Ott_3hours_TMT1 and TMT2, 131n). 6 hours: TMT1_128c (Ott_6hours_TMT1_128c); TMT2_126 (Ott_6hours_TMT2_126); TMT2_129c (Ott_6hours_TMT2_129c); TMT1_129n (Ott_6hours_TMT1_129n); TMT2_127n (Ott_6hours_TMT2_127n); TMT2_130n (Ott_6hours_TMT2_130n); Bridge channels (Ott_6hours_TMT1 and TMT2, 131c).
DOI: 10.34740/kaggle/dsv/1647940
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.13227800
title: Conversation in elderly people

description: [data.txt]<br>We recorded conversations of groups of four or five with 65 older Japanese people between June and September 2018. There were 16 groups and they were fixed over 14 sessions. In addition, as a condition, eight groups were required to speak freely and the remaining eight groups were required to make a presentation. Each session took place once a week for approximately 30 minutes. We decomposed the raw conversation into words and lemmatized the words. All words have been replaced with numbers to exclude personal information. The word column in the data represents words; the id column represents participants from 1 to 65; session represents session numbers from 1 to 14; group represents 16 groups from A to P; condition represents either free conversation or presentation; and the word column represents the number of participants. The words are arranged in the order of time.<br>[data_heaps.txt]<br>This file contains the number of unique words when the number of words increases. Token and type means the number of words and the number of unique words, respectively. This files was transformed from data.txt.<br>[cognitive_score.csv]This file contains cognitive scores and other characteristics for 65 participants.
DOI: 10.6084/m9.figshare.13227800.v2
title: Conversation in elderly people

description: We recorded conversations of groups of four or five with 65 older Japanese people between June and September 2018. There were 16 groups and they were fixed over 14 sessions. In addition, as a condition, eight groups were required to speak freely and the remaining eight groups were required to make a presentation. Each session took place once a week for approximately 30 minutes. We decomposed the raw conversation into words and lemmatized the words. All words have been replaced with numbers to exclude personal information. The word column in the data represents words; the id column represents participants from 1 to 65; session represents session numbers from 1 to 14; group represents 16 groups from A to P; condition represents either free conversation or presentation; and the word column represents the number of participants. The words are arranged in the order of time.
DOI: 10.21227/qkra-7x72
title: Baseline 8b

description: Same as Baseline 8, using median values instead of mean values.
DOI: 10.21227/whp1-tp73
title: Baseline 7b

description: This is the same baseline as baseline 7, but I am computing median values instead of mean values.
DOI: 10.21227/km6b-2s67
title: Basline 8c

description: Same as baseline 8b, trying to improve the yearky accuracy by rescaling the ratios such as to sum up to 1.
DOI: 10.6084/m9.figshare.13239077
title: "Exploring the Relationship Between Mindfulness & Rock-Climbing: A Controlled Study" - Dataset

description: Full data set collected for the study, titled: "Exploring the Relationship Between Mindfulness & Rock-Climbing: A Controlled Study".<br><br>
DOI: 10.6084/m9.figshare.13239077.v1
title: "Exploring the Relationship Between Mindfulness & Rock-Climbing: A Controlled Study" - Dataset

description: Full data set collected for the study, titled: "Exploring the Relationship Between Mindfulness & Rock-Climbing: A Controlled Study".<br><br>
DOI: 10.6084/m9.figshare.12152754
title: Excess pressures of the terrestrial and Elysium Fossae dike systems

description: All excess pressures calculated for the terrestrial and Martian dike data sets presented in the work 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars', as described in Section 3.3.
DOI: 10.21227/52a4-nk45
title: Baseline 8c

description: Same as baseline 8b, trying to improve the yearly accuracy by rescaling the ratios such as to sum up to 1.
DOI: 10.6084/m9.figshare.13239119
title: Identifiers and measurements (lengths and widths) of the mapped grabens at Elysium Fossae.

description: Identifiers and measurements (lengths and widths), for the grabens mapped in CTX images in the paper 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars'.
DOI: 10.6084/m9.figshare.13239119.v2
title: Identifiers and measurements (lengths and widths) of the mapped grabens at Elysium Fossae.

description: Identifiers and measurements (lengths and widths), for the grabens mapped in CTX images in the paper 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars'.
DOI: 10.6084/m9.figshare.13239119.v1
title: Identifiers and measurements (lengths and widths) of the mapped grabens

description: Identifiers and measurements (lengths and widths), for the grabens mapped in CTX images in the paper 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars'.
DOI: 10.6084/m9.figshare.13239131
title: Full results of the area balance calculations at Elysium Fossae

description: Area balance results for all the structures in the selected topographic profiles: graben width between fault scarps, graben width at the floor, area below regional, modeled top-dike depth from topography, elevation of the top-dike from datum, total fault heave = modeled dike width, and estimated dike height. Key results for the paper 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars'.
DOI: 10.6084/m9.figshare.13239131.v2
title: Full results of the area balance calculations at Elysium Fossae

description: Area balance results for all the structures in the selected topographic profiles: graben width between fault scarps, graben width at the floor, area below regional, modeled top-dike depth from topography, elevation of the top-dike from datum, total fault heave = modeled dike width, and estimated dike height. Key results for the paper 'Subsurface Geometry and Emplacement Conditions of a Giant Dike System in Elysium Fossae, Mars'.
DOI: 10.6084/m9.figshare.13239131.v1
title: Full results of the area balance calculations

description: Area balance results for all the structures in the selected topographic profiles: graben width between fault scarps, graben width at the floor, area below regional, modeled top-dike depth from topography, elevation of the top-dike from datum, total fault heave = modeled dike width, and estimated dike height.
DOI: 10.7910/dvn/kzquax
title: Replication Data for: "The Micro-Task Market for Lemons: Data Quality on Amazon's Mechanical Turk"

description: This is the public replication package for "The Micro-Task Market for Lemons: Data Quality on Amazon's Mechanical Turk." The package has been uploaded as a .zip file. For your convenience, please download the entire dataset. As per Dataverse: "When you download the contents of the dataset, this folder structure will be preserved and files will appear in their original locations." From there, start with the readme. Full replication data, including participant IP addresses, has been provided to Political Science Research Methods. Please contact Doug Ahler to inquire about these sensitive data.
DOI: 10.6084/m9.figshare.13239152
title: Land Value Map of Istanbul City

description: This dataset includes raster-based nominal land value data of Istanbul City. It is created using open-source QGIS software with several spatial analyses, such as proximity, terrain, and visibility. The dataset has 10 metres spatial resolution.
DOI: 10.21227/ve3n-8v90
title: Team13_5D_2020_SoCSE_KLETech

description: In the pre-processing:Observed the dirty data.Interpolated the missing valuesSince after the interpolation many NaN values were left in the dataset so we took out the mean of the consumption data entries for each meter_id and then replace the NaN values with it. Analysis:Observed the trend of the Energy Consumption from the datasetAs observed our data turned out to be stationary and seasonalOur dataset is huge Data Modelling:to model our data we chose the LSTM(Long Short-Term Memory) modelwe also tried using the other modelling methods such as ARIMA and SARIMALSTM works better as we are dealing with huge amount of data and enough training data is available, while ARIMA is better for smaller dataset ARIMA requires a series of parameters (p,q,d) which must be calculated based on data, while LSTM does not require setting such parameters.