cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/724n-ke96
title: UAV Attack Dataset

description: Simulation 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". PX4 Autopilot (v1.10.1 stable) (https://px4.io) running on Pixhawk 4 flight controller. QGroundControl (v4.0.9) used for GCS (http://qgroundcontrol.com).Telemetry data is contained in TLOG files (https://ardupilot.org/copter/docs/common-mission-planner-telemetry-logs.html)Full flight data is contained in ULOG files (https://dev.px4.io/v1.9.0/en/log/ulog_file_format.html)It is useful to use ulog2csv to extract more information in CSV format: https://github.com/PX4/pyulog/blob/master/pyulog/ulog2csv.py
DOI: 10.34740/kaggle/dsv/1500023
title: Simpsons Main Characters
DOI: 10.21227/ncqe-6x65
title: UAV Attack Dataset

description: Simulation 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:
DOI: 10.21227/p4jn-tm22
title: UAV Attack Dataset

description: Simulation 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/r51r-hs43
title: UAV Attack Dataset

description: Simulation 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: 10.5281/zenodo.4038176
title: Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality

description: These four datasets accompany the original preprint "Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures", now revised to "Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality". URL to preprint before revisions: https://www.biorxiv.org/content/10.1101/2020.03.17.993444v2.<br> <br> Included are both Antibody Model Libraries and two further files generated during peer-review.
DOI: 10.5281/zenodo.4038175
title: Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality

description: These four datasets accompany the original preprint "Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures", now revised to "Public Baseline and Shared Response Structures Support the Theory of Antibody Repertoire Functional Commonality". URL to preprint before revisions: https://www.biorxiv.org/content/10.1101/2020.03.17.993444v2.<br> <br> Included are both Antibody Model Libraries and two further files generated during peer-review.
DOI: 10.6084/m9.figshare.9974609
title: Supplementary materials for: Sidorov et al., 2020

description: <b>Supplementary materials for: Sidorov D.A., Labay V.S., Gontcharov A.A. 2020. New species and records of the subterranean amphipod genus <i>Pseudocrangonyx</i> Akatsuka and Komai (Crustacea: Pseudocrangonyctidae), representing the northernmost distribution of the group. Journal of Natural History.</b> 1) SEM.ZIP - scanning electron microphotographs 2) script.zip - for GMT 4.5.14. with location of the sampling sites 3) seqs_Pseudocrangonyx.fas - FASTA alignment dataset 4) COI-tree(unrooted).pdf - BioNJ tree inferred from COI alignment dataset
DOI: 10.6084/m9.figshare.9974609.v1
title: Supplementary materials for: Sidorov et al.

description: <b>Supplementary materials for: Sidorov et al.</b><br>1) SEM.ZIP - scanning electron microphotographs2) script.zip - for GMT 4.5.14. with location of the sampling sites3) seqs_Pseudocrangonyx.fas - FASTA alignment dataset4) COI-tree(unrooted).pdf - BioNJ tree inferred from COI alignment dataset
DOI: 10.21227/v15f-2g73
title: UAV Attack Dataset

description: Simulation 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: 10.5281/zenodo.4036065
title: Resultados da Recolha de dados

description: Resultados da Recolha de dados para artigos sobre avaliação de informação de arquivo
DOI: 10.5281/zenodo.4036064
title: Resultados da Recolha de dados

description: Resultados da Recolha de dados para artigos sobre avaliação de informação de arquivo
DOI: 10.6084/m9.figshare.12979253
title: R0192_20171008a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979253.v1
title: R0192_20171008a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979250.v1
title: R0192_20171006a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979250
title: R0192_20171006a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979247
title: R0225_20180529a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979247.v1
title: R0225_20180529a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979856
title: Data - INFECTION FATALITY RATE OF COVID19 — A LOGISTIC MODEL

description: Data for IFR vs Age of the Patients are analysed by Best fit analysis . The data of Logistics regression like Sigmoid equation coefficians , Variance matrix , Residual table are stored in this collection .
DOI: 10.6084/m9.figshare.12979856.v1
title: Data - INFECTION FATALITY RATE OF COVID19 — A LOGISTIC MODEL

description: Data for IFR vs Age of the Patients are analysed by Best fit analysis . The data of Logistics regression like Sigmoid equation coefficians , Variance matrix , Residual table are stored in this collection .
DOI: 10.5281/zenodo.4038436
title: Homo species archaeological record

description: Raw data (fossil occurrences) for Homo species. These data were used in the paper: "<strong>How a <em>Homo</em> goes extinct. Climatic change and the demise of our ancestors" </strong>by Raia P. and colleagues
DOI: 10.5281/zenodo.4038435
title: Homo species archaeological record

description: Raw data (fossil occurrences) for Homo species. These data were used in the paper: "<strong>How a <em>Homo</em> goes extinct. Climatic change and the demise of our ancestors" </strong>by Raia P. and colleagues
DOI: 10.6084/m9.figshare.12979889
title: Raw data

description: Food choice, interannual variation, white-headed langurs; limestone forest
DOI: 10.6084/m9.figshare.12960131
title: Two ATAF-Family Transcription Factors ANAC102 and ATAF1 Contribute to the Suppression of Cytochrome P450-Mediated Brassinosteroid Catabolism in Arabidopsis

description: Dataset for the indicated paper.
DOI: 10.6084/m9.figshare.12960131.v1
title: Two ATAF-Family Transcription Factors ANAC102 and ATAF1 Contribute to the Suppression of Cytochrome P450-Mediated Brassinosteroid Catabolism in Arabidopsis

description: Dataset for the indicated paper.
DOI: 10.5281/zenodo.4038532
title: Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework

description: Dataset for "Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework"
DOI: 10.6084/m9.figshare.12979910
title: Chemically Programmable Microrobots Weaving a Web from Hormones

description: Data set related to Fig 3-Fig 5Data set related to Extended Data Fig 3 - Extended Data Fig 5
DOI: 10.34740/kaggle/dsv/1500377
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.3782581
title: Psoriasis is associated with elevated gut IL-1α and intestinal microbiome alterations

description: Background: Psoriasis is a chronic inflammatory condition that predominantly affects the skin and is associated with extracutaneous disorders, such as inflammatory bowel disease and arthritis. Changes in gut immunology and microbiota are important drivers of proinflammatory disorders and could play a role in the pathogenesis of psoriasis. Therefore, we explored whether psoriasis in a Central Asian cohort is associated with alterations in select immunological markers and/or microbiota of the gut. Methods: We undertook a case-control study of stool samples collected from outpatients, aged 30-45 years, of a dermatology clinic in Kazakhstan presenting with plaque, guttate or palmoplantar psoriasis (n=20), and age-sex matched subjects without psoriasis (n=20). Stool supernatant was subjected to multiplex ELISA to assess the concentration of 47 cytokines and immunoglobulins and to 16S rRNA gene sequencing to characterize microbial diversity in both psoriasis participants and controls. Results: The psoriasis group tended to have higher concentrations of most analytes in stool (29/47=61.7%) and gut IL-1α was significantly elevated (4.19-fold, p=0.007) compared to controls. Levels of gut IL-1α in the psoriasis participants remained significantly unaltered up to three months after the first sampling (p=0.430). Psoriasis was associated with alterations in gut Firmicutes, including elevated Faecalibacterium and decreased Oscillibacter and Roseburia abundance, but no association was observed between gut microbial diversity or Firmicutes/Bacteroidetes ratios and disease status.<br> Conclusions: Psoriasis may be associated with gut inflammation and dysbiosis. Studies are warranted to explore the use of gut microbiome-focused therapies in the management of psoriasis in this under-studied population.
DOI: 10.5281/zenodo.3782580
title: Psoriasis is associated with elevated gut IL-1α and intestinal microbiome alterations

description: Background: Psoriasis is a chronic inflammatory condition that predominantly affects the skin and is associated with extracutaneous disorders, such as inflammatory bowel disease and arthritis. Changes in gut immunology and microbiota are important drivers of proinflammatory disorders and could play a role in the pathogenesis of psoriasis. Therefore, we explored whether psoriasis in a Central Asian cohort is associated with alterations in select immunological markers and/or microbiota of the gut. Methods: We undertook a case-control study of stool samples collected from outpatients, aged 30-45 years, of a dermatology clinic in Kazakhstan presenting with plaque, guttate or palmoplantar psoriasis (n=20), and age-sex matched subjects without psoriasis (n=20). Stool supernatant was subjected to multiplex ELISA to assess the concentration of 47 cytokines and immunoglobulins and to 16S rRNA gene sequencing to characterize microbial diversity in both psoriasis participants and controls. Results: The psoriasis group tended to have higher concentrations of most analytes in stool (29/47=61.7%) and gut IL-1α was significantly elevated (4.19-fold, p=0.007) compared to controls. Levels of gut IL-1α in the psoriasis participants remained significantly unaltered up to three months after the first sampling (p=0.430). Psoriasis was associated with alterations in gut Firmicutes, including elevated Faecalibacterium and decreased Oscillibacter and Roseburia abundance, but no association was observed between gut microbial diversity or Firmicutes/Bacteroidetes ratios and disease status.<br> Conclusions: Psoriasis may be associated with gut inflammation and dysbiosis. Studies are warranted to explore the use of gut microbiome-focused therapies in the management of psoriasis in this under-studied population.
DOI: 10.6084/m9.figshare.12979865.v1
title: R0225_20180530a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979865
title: R0225_20180530a_videos

description: Rat 0225, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.3921901
title: Dateset of in silico investigations on protein_protein Interaction of GST isoforms with ASK1 and JNK1

description: Please refer to the description of the files document for details on the files in the zip folder. The dataset contains molecular dynamics simulation files, and other in silico investigation output files used to describe the protein-protein interactions of seven GST isoforms with that of MAPK8 (JNK1) and MAP3K5 (ASK1).
DOI: 10.5281/zenodo.3921900
title: Dateset of in silico investigations on protein_protein Interaction of GST isoforms with ASK1 and JNK1

description: Please refer to the description of the files document for details on the files in the zip folder. The dataset contains molecular dynamics simulation files, and other in silico investigation output files used to describe the protein-protein interactions of seven GST isoforms with that of MAPK8 (JNK1) and MAP3K5 (ASK1).
DOI: 10.34740/kaggle/dsv/1501472
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.12869267.v1
title: Minle Loess Proxies

description: Minle loess deposit to reflect late Pleistocene climate change in Asian monsoon margin
DOI: 10.6084/m9.figshare.12979868
title: R0192_20171009a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12979868.v1
title: R0192_20171009a_videos

description: Rat 0192, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12869267.v2
title: Minle Loess Proxies

description: Minle loess deposit to reflect late Pleistocene climate change in Asian monsoon margin
DOI: 10.5281/zenodo.4038480
title: fMRI data: Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis

description: This is the fMRI dataset described in "Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis", bioRxiv (2019). Note that the data consists of already pre-processed volumes, warped into the MNI152 template (see the paper for details) along with the stimulus set. Due to privacy concerns, we cannot provide raw data and access is public but restricted (see 'Conditions' below). <strong>Conditions</strong>: In accordance with EU privacy norms, access to the data is granted after submission of a Data Use Agreement (DUA). You can download the DUA here. Please, sign it and send it to the email adress found at the bottom of the DUA. A description of the aims of your project is appreciated but not required.
description: Each subject has 42 volumes, corresponding to the GLM fits (t stats) for each stimulus (averaged across repetitions). The order of the volumes follows that of the stimulus set (also included). For doubts or support: same email as for the DUA submission (see 'Conditions' above). This work has been supported by the Italian Ministry of Education, University and Research grants PRIN 2015WXAXJF and 2015AR52F9.
description: {"references": ["Papale, Leo et al. (2019) bioRxiv doi: https://doi.org/10.1101/814251"]}
DOI: 10.5281/zenodo.4038479
title: fMRI data: Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis

description: This is the fMRI dataset described in "Shape coding in occipito-temporal cortex relies on object silhouette, curvature and medial-axis", bioRxiv (2019). Note that the data consists of already pre-processed volumes, warped into the MNI152 template (see the paper for details) along with the stimulus set. Due to privacy concerns, we cannot provide raw data and access is public but restricted (see 'Conditions' below). <strong>Conditions</strong>: In accordance with EU privacy norms, access to the data is granted after submission of a Data Use Agreement (DUA). You can download the DUA here. Please, sign it and send it to the email adress found at the bottom of the DUA. A description of the aims of your project is appreciated but not required.
description: Each subject has 42 volumes, corresponding to the GLM fits (t stats) for each stimulus (averaged across repetitions). The order of the volumes follows that of the stimulus set (also included). For doubts or support: same email as for the DUA submission (see 'Conditions' above). This work has been supported by the Italian Ministry of Education, University and Research grants PRIN 2015WXAXJF and 2015AR52F9.
description: {"references": ["Papale, Leo et al. (2019) bioRxiv doi: https://doi.org/10.1101/814251"]}
DOI: 10.6084/m9.figshare.12965270.v2
title: Wind data repository

description: This is a comprehensive repository of spatially and temporally correlated wind velocity samples. The samples are classified based on the maximum sustained wind speed (maximum 1-min average) and the 3-sec gust wind speed (maximum 3-sec average), which are the intensity measures commonly used for structural analysis. The repository consists of 58,000 wind samples with 1-hour duration, as well as 110,847 samples with 2-min and 87,257 wind samples with10-min durations. This database is meant to facilitate researchers and engineers in readily selecting and using wind velocity time histories for many applications, such as the analysis of tall structures located in open terrain areas.
DOI: 10.21227/3v2t-5c54
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.21227/4pj4-bz65
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.21227/pnb2-5418
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.6084/m9.figshare.12980027
title: final_data.dta

description: this is Hospital based data of neonates after cesarean delivery
DOI: 10.6084/m9.figshare.12980027.v1
title: final_data.dta

description: this is Hospital based data of neonates after cesarean delivery
DOI: 10.21227/ngb0-dv74
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.21227/09s3-aw47
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.21227/h5fr-bf05
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.21227/swc8-q477
title: Cyber Influence Campaign Ontology dataset

description: The ASU/UNSW-CICMOD01 was developed to support the novel Cyber Influence Campaign (CIC) model and ontology. It contains full captures of specific tags (hashtags) regardling individual cyber influence campaings scrapped from Twitter and Instagram.
DOI: 10.6084/m9.figshare.12980030
title: Students' Responses to Mathematics Reading Assignments

description: This dataset is comprised of five interview transcripts. The research participants, all students, were interviewed about their reading and reading-related behaviors in introductory university mathematics courses.
DOI: 10.6084/m9.figshare.12979151.v3
title: equation_output.csv

description: The dataset includes all values of y variable which are generated from the equation y=3x+6 with all numbers in input dataset as x.
DOI: 10.6084/m9.figshare.12979139.v2
title: equation_input.csv

description: This dataset including 1000 random numbers is generated over the range 0-100.
DOI: 10.5517/ccdc.csd.cc1ywtqc
title: CCDC 1814204: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Colin L. Raston|2018|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.