cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5bzh52txpn.1
title: Data for: Machine Learning based Heterogeneous Web Advertisements Detection Using a Diverse Feature Set

description: Advertisement identification and filtering in web pages gain significance due to various factors such as accessibility, security, privacy, and obtrusiveness. Current practices in this direction involve maintaining URL-based regular expressions called filter lists. Each URL obtained on a web page is matched against this filter list. While effectual, this procedure lacks scalability as it demands regular continuance of the filter list. To counter these limitations, we devise a machine learning based advertisement detection system using a diverse feature set which can distinguish advertisement blocks from non-advertisement blocks. The method can act as a base to provide various accessibility-related features like smooth browsing and text summarization for persons with visual impairments, cognitive impairments, and photosensitive epilepsy. The results from a classifier trained on the proposed feature set achieve 93.4% accuracy in identifying advertisements.
DOI: 10.7910/dvn/c0dbae/asarmt
title: A.1.1_twelve_obs_example.tar

description: 12 obs simulation
Run the script here: ~\archive_psnot\A.1.1_twelve_obs_example\twelve_obs_example_11jan2018.R
Run-time is on the order of 10 seconds.
DOI: 10.7910/dvn/c0dbae/iqf0zl
title: A.2_large_simulation.tar

description: Appendix Section 2
Large Simulation-see readme file for instructions.
DOI: 10.7910/dvn/c0dbae/t2irq4
title: 5.2_bias_simulations.tar

description: Run the script here: ~\archive_psnot\5.2_bias_simulations\5.2_bias_simulations.R
Run-time is on the order of 6 hours.
DOI: 10.7910/dvn/c0dbae/tqr5kd
title: 5.3_Nielsen_et_al_example.tar

description: Nielsen et al. replication
Run the script here: ~\archive_psnot\5.3_Nielsen_et_al_example\nielsen_et_al_10jan2018.R
Run-time is on the order of 10 minutes.
DOI: 10.7910/dvn/c0dbae/udxpw5
title: A.3_second_example.tar

description: Run the script: ~\archive_psnot\A.3_second_example\pscore_sims.R
Run time is on the order of 15 hours (estimate less precise on this one)
DOI: 10.7910/dvn/c0dbae/yacw7l
title: 4.3_find_hidden_experiments.tar

description: Run the script here: ~\archive_psnot\4.3_find_hidden_experiments\find_hidden_experiments_code_10jan2018.R
Run-time is on the order of 6 hours.
DOI: 10.7910/dvn/c0dbae/4akyvi
title: readme.txt

description: This archive provides code and saved data files in various formats to
reproduce the results in the King and Nielsen working paper on propensity
score matching.
DOI: 10.7910/dvn/c0dbae/cmnykc
title: A.3_paradox_with_mdm.tar

description: Run the script: ~\archive_psnot\A.3_second_example\paradox_with_mdm_29jun2018.R
Run time is approx. 15 mins.
DOI: 10.7910/dvn/c0dbae/kd5bfe
title: readme.txt

description: This archive provides code and saved data files in various formats to
reproduce the results in the King and Nielsen working paper on propensity
score matching.
DOI: 10.7910/dvn/c0dbae/tbcjhr
title: A.3_paradox_with_mdm.tar

description: Run the script: ~\archive_psnot\A.3_second_examplepscore_sims.R
Run time is on the order of 15 hours (estimate less precise on this one)
DOI: 10.7910/dvn/c0dbae/wu3llz
title: 5.3_Finkel_et_al_example.tar

description: Finkel et al. replication
Run the script here: ~\archive_psnot\5.3_Finkel_et_al_example\finkel_15mar2015.R
Run-time is on the order of 10 minutes.
DOI: 10.5281/zenodo.1302049
title: Benchmarking Tree And Ancestral Sequence Inference For B Cell Receptor Sequences

description: Simulation data used and described in associated article.
DOI: 10.5517/ccdc.csd.cc1p85y2
title: CCDC 1557004: Experimental Crystal Structure Determination

description: Related Article: Malledevarapura Gurumurthy Prabhudeva, Karthik Kumara, Achutha Dileep Kumar, Mylarappa B. Ningappa, Neratur K. Lokanath, Kariyappa Ajay Kumar|2018|Res.Chem.Intermed.|44|6453|doi:10.1007/s11164-018-3501-2
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.
DOI: 10.18169/papdeott006929
title: Integration of a Baggage Chute in the Auxiliary Ladder of a Passenger Boarding Bridge
DOI: 10.5061/dryad.4nn33b2/1
title: Dataset

description: Raw data including location of the plots (longitude, latitude and type of forest), forest structural features (stem density, basal area and canopy height) climatic variables (potential evapotranspiration, mean annual precipitation, mean annual temperature), human footprint index and cyclone regime variables (cyclone frequency and power dissipation index). Includes reference list.
DOI: 10.18169/papdeott007216
title: System and Method to Optimize the Computational Efficiency of a Deep Neural Network Using Densely Connected Networks and Group Sparse Regularization
DOI: 10.18169/papdeott007217
title: Motion-Controller als elektronische Person mit Blackboxarchivierung
DOI: 10.18169/papdeott007218
title: Sonderwerkzeugmaschine zum Heraustrennen von Rohrstücken von Innen
DOI: 10.18169/papdeott007219
title: Verbesserte SAR-Berechnung unter Einbezug verschiedener Sensorsysteme
DOI: 10.18169/papdeott007220
title: Automatische Desinfektion von Behandlungsräumen
DOI: 10.18169/papdeott007221
title: Nutzung von Umrichtern zur Teilremagnetisierung von PSM
DOI: 10.18169/papdeott007222
title: Automatic MR Sequence Optimization on MRI Scanner
DOI: 10.18169/papdeott007223
title: Deep Parsing Network for Dense Partitioning of Patient Body
DOI: 10.18169/papdeott007182
title: Optimierung der Modulenergie im AC-Fehlerfall
DOI: 10.18169/papdeott007184
title: Thermischer Energiespeicher
DOI: 10.18169/papdeott007193
title: Modularer Servo-Läuferaufbau
DOI: 10.18169/papdeott007196
title: Switching Voltage and Current Mode of Analogue Input
DOI: 10.18169/papdeott007225
title: Mehrbahnige Verpackungsmaschine für komplexe Verpackungen
DOI: 10.18169/papdeott007226
title: Novel Design of Cooling Fins for Optimized Air Cooling
DOI: 10.18169/papdeott007227
title: Verfahren zur Auswahl und Darstellung von Informationen
DOI: 10.18169/papdeott007228
title: Hast Vorrichtung und Optik zum Laserdraht-Löten an schwer zugänglichen Stellen von Heißgaskomponenten
DOI: 10.18169/papdeott007229
title: Zwei-Phasen-Kühlung für Bipolartransistoren mit isolierter Gate-Elektrode
DOI: 10.18169/papdeott007230
title: Method of Reducing Cogging Torque of Electric Motors
DOI: 10.18169/papdeott007231
title: Ablaufschema zur Ermittlung aller notwendigen Parameter zur automatischen Reglereinstellung
DOI: 10.18169/papdeott007232
title: Erhöhung der Festigkeitseigenschaften bei Druckbehältern aus einer Leichtmetallgusslegierung durch partielles Auftragschweißen
DOI: 10.18169/papdeott007233
title: Piezoresistive Druckmessung im Behälter
DOI: 10.18169/papdeott007234
title: Dichtigkeitsprüfung mit einem sich verflüchtigenden Spurengas
DOI: 10.18169/papdeott007235
title: Inverter with Sensorless Work Piece Counting
DOI: 10.17632/6zkpys8htv.1
title: Data for: Farm to Fork Quantitative Microbial Risk Assessment for Norovirus on Frozen Berries

description: Excel file containing @risk model
DOI: 10.5281/zenodo.1300512
title: Monroe Sometime Dataset

description: Dataset produced in the context of MONROE-SOMETIME project. Included are results of available bandwidth and achievable throughput experiments using MONROE during 3 experimental campaigns described in the paper "Available Bandwidth vs. Achievable Throughput Measurements in 4G Mobile Networks".

Results include log files and packet traces produced by the employed tools (Yaz and Pathload to measure available bandwidth and D-ITG to measure throughput) as well as processed files used to extract specific information.
DOI: 10.5281/zenodo.1301197
title: Google Categories (Productsservices) To Dmoz Mapping

description: This deposit contains the RDF version of a subset of the Google Categories dataset (named ProductsServices, available at https://developers.google.com/adwords/api/docs/appendix/productsservices.csv - last access: 2018-06-29) and the RDF version of a subset of the DMOZ categories dump.

Categories have been modeled as SKOS Concept in both datasets.

There is also a mapping file that contains links between instances described in these datasets. Links have been created manually (we adopted the SKOS vocabulary).
description: Namespaces used in all datasets are internal.
DOI: 10.5281/zenodo.1301198
title: Google Categories (Productsservices) To Dmoz Mapping

description: This deposit contains the RDF version of a subset of the Google Categories dataset (named ProductsServices, available at https://developers.google.com/adwords/api/docs/appendix/productsservices.csv - last access: 2018-06-29) and the RDF version of a subset of the DMOZ categories dump.

Categories have been modeled as SKOS Concept in both datasets.

There is also a mapping file that contains links between instances described in these datasets. Links have been created manually (we adopted the SKOS vocabulary).
description: Namespaces used in all datasets are internal.
DOI: 10.5281/zenodo.1291759
title: DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Evaluation dataset

description: The dataset is a derivative of the SINS dataset and is meant to be used as an evaluation set for the DCASE2018 Task 5 challenge. The development set to be used can be found here. The dataset is a derivative of the SINS database.

The SINS database contains a continuous recording of one person living in a vacation home over a period of one week. The recordings were manually annotated on daily activity level: "Cooking", "Dishwashing", "Eating", "Social activity (visit, phone call)", "Vacuum cleaning", "Watching TV", "Working", "Presence" and "Absence". More information can be found on (please cite this papers when using the dataset):

G. Dekkers, S. Lauwereins, B. Thoen, M. W. Adhana, H. Brouckxon, T. van Waterschoot, B. Vanrumste, M. Verhelst, and P. Karsmakers, “The SINS database for detection of daily activities in a home environment using an acoustic<br>
sensor network,” in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32–36.

G. Dekkers, L. Vuegen, T. van Waterschoot, B. Vanrumste, and P. Karsmakers, “DCASE 2018 Challenge - Task 5: Monitoring of domestic activities based on multi-channel acoustics,” KU Leuven, Tech. Rep., July 2018.

The derivative of the SINS database, 'DCASE 2018 – Task 5 evaluation dataset' consists of data collected by 7 microphone arrays in the combined living room and kitchen area. The continuous recordings were split into audio segments of 10s. These audio segments are provided as individual files. In total 72972 segments are made available, leading to approximately 200 hours of data with annotations.

More information about the challenge and the specific dataset can be found here. Information solely related to the content of the dataset is available in 'DCASE2018-task5-eval.doc.zip'.

By accessing or using this database, the user accepts the provided EULA (available in DCASE2018-task5-eval.doc.zip).
description: {"references": ["Dekkers G., Lauwereins S., Thoen B., Adhana M., Brouckxon H., Van den Bergh B., van Waterschoot T., Vanrumste B., Verhelst M., Karsmakers P. (2017). The SINS database for detection of daily activities in a home environment using an Acoustic Sensor Network. Detection and Classification of Acoustic Scenes and Events 2017 (accepted). DCASE Workshop. M\u00fcnchen, Germany, 16-17 November 2017."]}
DOI: 10.5281/zenodo.1302330
title: Dataset From The Study: "Brain Haemorrhage Detection Using A Svm Classifier With Electrical Impedance Tomography Measurement Frames"

description: This repository contains the scripts and other resources used in:

“Brain Haemorrhage Detection using a SVM Classifier with Electrical Impedance Tomography Measurement Frames”, McDermott B et al. 10.1371/journal.pone.0200469

 

&gt;&gt; THIS DATA IS FREE FOR USE IN ANY SCIENTIFIC RESEARCH WITH CITATION (PLEASE USE THE DOI FOR PRECISE CITATION): DOI 10.1371/journal.pone.0200469

 

&gt;&gt; IF YOU USE THESE RESOURCES, CITE!!!

 

The repository contains the code and resources to generate the EIT Measurement Frames used in Numerical Models (STL models, code to mesh, code to generate frames)

 

Also included are the Measurement Frames generated from the Phantom Studies.

 

<strong>=&gt; This is all the data (how to replicate it for numerical studies and the actual data for the phantom part) used in the study</strong>

 

Classifier generation, training, testing, cross validation etc uses standard MATLAB methods and resources: fitcsvm() etc.

 

The subfolders are ordered numerically in the logical order of use

The subfolders contain text files with more details and description relevant to the contents of the respective subfolder.

 

Note:

 

Software used in this study:

At a minimum the first 2 will be needed to be installed on your computer

(other methods etc needed are detailed within the folders)

 

<strong>MATLAB 2017B</strong> (https://uk.mathworks.com/products/matlab.html):

The primary software tool used throughout

 

<strong>EIDORS </strong>(http://eidors3d.sourceforge.net/index.shtml)<strong>: </strong>

Open Source software package, compatible with MATLAB, with tools for use in Electrical Impedance Tomography studies.

 

<strong>Autodesk Fusion 360</strong> (https://www.autodesk.com/products/fusion-360/overview?mktvar002=685209&mkwid=sMHGuhLcc|pcrid|209188650131|pkw|fusion%20360|pmt|e|pdv|c|slid||pgrid|34851227038|ptaid|kwd-11029869505|&intent=&utm_medium=cpc&utm_source=google&utm_campaign=GGL_Fusion+360_IE_BR_SEM&utm_term=fusion%20360&utm_content=sMHGuhLcc|pcrid|209188650131|pkw|fusion%20360|pmt|e|pdv|c|slid||pgrid|34851227038|ptaid|kwd-11029869505|&gclid=Cj0KCQjw1NzZBRCoARIsAIaMwut5zqUE_d7oieOvw6H3SpU45Jw7vwL5KAKqyRYW20Be6QWE-V3HaB0aAnW0EALw_wcB):

Used to generate the head, brain and lesion STL files. These final STL files are provided in this repository.
DOI: 10.5281/zenodo.1302331
title: Dataset From The Study: "Brain Haemorrhage Detection Using A Svm Classifier With Electrical Impedance Tomography Measurement Frames"

description: This repository contains the scripts and other resources used in:

“Brain Haemorrhage Detection using a SVM Classifier with Electrical Impedance Tomography Measurement Frames”, McDermott B et al. 10.1371/journal.pone.0200469

 

&gt;&gt; THIS DATA IS FREE FOR USE IN ANY SCIENTIFIC RESEARCH WITH CITATION (PLEASE USE THE DOI FOR PRECISE CITATION): DOI 10.1371/journal.pone.0200469

 

&gt;&gt; IF YOU USE THESE RESOURCES, CITE!!!

 

The repository contains the code and resources to generate the EIT Measurement Frames used in Numerical Models (STL models, code to mesh, code to generate frames)

 

Also included are the Measurement Frames generated from the Phantom Studies.

 

<strong>=&gt; This is all the data (how to replicate it for numerical studies and the actual data for the phantom part) used in the study</strong>

 

Classifier generation, training, testing, cross validation etc uses standard MATLAB methods and resources: fitcsvm() etc.

 

The subfolders are ordered numerically in the logical order of use

The subfolders contain text files with more details and description relevant to the contents of the respective subfolder.

 

Note:

 

Software used in this study:

At a minimum the first 2 will be needed to be installed on your computer

(other methods etc needed are detailed within the folders)

 

<strong>MATLAB 2017B</strong> (https://uk.mathworks.com/products/matlab.html):

The primary software tool used throughout

 

<strong>EIDORS </strong>(http://eidors3d.sourceforge.net/index.shtml)<strong>: </strong>

Open Source software package, compatible with MATLAB, with tools for use in Electrical Impedance Tomography studies.

 

<strong>Autodesk Fusion 360</strong> (https://www.autodesk.com/products/fusion-360/overview?mktvar002=685209&mkwid=sMHGuhLcc|pcrid|209188650131|pkw|fusion%20360|pmt|e|pdv|c|slid||pgrid|34851227038|ptaid|kwd-11029869505|&intent=&utm_medium=cpc&utm_source=google&utm_campaign=GGL_Fusion+360_IE_BR_SEM&utm_term=fusion%20360&utm_content=sMHGuhLcc|pcrid|209188650131|pkw|fusion%20360|pmt|e|pdv|c|slid||pgrid|34851227038|ptaid|kwd-11029869505|&gclid=Cj0KCQjw1NzZBRCoARIsAIaMwut5zqUE_d7oieOvw6H3SpU45Jw7vwL5KAKqyRYW20Be6QWE-V3HaB0aAnW0EALw_wcB):

Used to generate the head, brain and lesion STL files. These final STL files are provided in this repository.
DOI: 10.17632/vxx8vvm64r.1
title: Data for: What does the Yield Curve imply about Investor Expectations?

description: Excel file containing Betas and Yields from Gurkaynak, Sack and Wright (2006), "The U.S. Treasury Yield Curve: 1961 to the Present".
DOI: 10.17632/4zv4wny3dn.1
title: Data for: Amorphous zirconium phosphate/cation-exchange membrane: an effective hybrid material for water treatment technology

description: Experimental procedures for determinations of water uptake, ion exchange capacity, ionic conductivity, potentiometric transport numbers and water transport numbers of ion-exchange membranes
DOI: 10.17632/8hms924jk4.1
title: Data for: It Wasn’t Me: The role of perspective in self-perceptions of responsibility

description: Data sets for studies 1-3 in the current manuscript investigating the role of perspective on self-perceptions of responsibility. Studies 1 and 3 investigate written manipulations of perspective with DVs on 100 point analogue scales. Study 2 investigates mentally simulated manipulations of perspective using 15cm analogue scales.
DOI: 10.17632/nv3dzm3xrs.1
title: Data for: It Wasn’t Me: The role of perspective in self-perceptions of responsibility

description: Materials used in studies 1-3 to investigate the role of perspective (both imagined and written) on self-perceptions of responsibility.
DOI: 10.5281/zenodo.1301195
title: Google Location Criteria Id (Geotargets) To Geonames Mapping

description: This deposit contains the RDF version of the Google Location Criteria ID dataset (named Geotargets, available at https://goo.gl/cZXkiJ - last access: 2018-06-29) and a subset of the Geonames XML dump.

All datasets contain only locations located in Spain or Germany.

There are also mapping files that contain <em>sameAs</em> links between instances described in these datasets. Links have been created with a custom SILK pipeline.
description: Namespaces used in the RDF version of the Google Geotargets dataset are internal.
DOI: 10.5281/zenodo.1301196
title: Google Location Criteria Id (Geotargets) To Geonames Mapping

description: This deposit contains the RDF version of the Google Location Criteria ID dataset (named Geotargets, available at https://goo.gl/cZXkiJ - last access: 2018-06-29) and a subset of the Geonames XML dump.

All datasets contain only locations located in Spain or Germany.

There are also mapping files that contain <em>sameAs</em> links between instances described in these datasets. Links have been created with a custom SILK pipeline.
description: Namespaces used in the RDF version of the Google Geotargets dataset are internal.
DOI: 10.17632/6pjk9rmsn5.1
title: Raw Statistical Data for: Influence of fisetin combined with hesperidin on chronic mild hyperhomocysteinemia induced cognitive dysfunction and oxidative stress in Wistar rats
DOI: 10.5517/ccdc.csd.cc1p4k2g
title: CCDC 1553505: Experimental Crystal Structure Determination

description: Related Article: Shaoyu Mai, Yixin Luo, Xianyun Huang, Zhenghao Shu, Bingnan Li, Yu Lan, Qiuling Song|2018|Chem.Commun.|54|10240|doi:10.1039/C8CC05390A
description: Related Article: Shaoyu Mai|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.
DOI: 10.5517/ccdc.csd.cc1p4k7m
title: CCDC 1553510: Experimental Crystal Structure Determination

description: Related Article: Shaoyu Mai, Yixin Luo, Xianyun Huang, Zhenghao Shu, Bingnan Li, Yu Lan, Qiuling Song|2018|Chem.Commun.|54|10240|doi:10.1039/C8CC05390A
description: Related Article: Shaoyu Mai|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.
DOI: 10.5517/ccdc.csd.cc1p4kds
title: CCDC 1553515: Experimental Crystal Structure Determination

description: Related Article: Shaoyu Mai, Yixin Luo, Xianyun Huang, Zhenghao Shu, Bingnan Li, Yu Lan, Qiuling Song|2018|Chem.Commun.|54|10240|doi:10.1039/C8CC05390A
description: Related Article: Shaoyu Mai|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.
DOI: 10.5517/ccdc.csd.cc1pk84n
title: CCDC 1565721: Experimental Crystal Structure Determination

description: Related Article: Shaoyu Mai, Yixin Luo, Xianyun Huang, Zhenghao Shu, Bingnan Li, Yu Lan, Qiuling Song|2018|Chem.Commun.|54|10240|doi:10.1039/C8CC05390A
description: Related Article: Shaoyu Mai|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.
DOI: 10.5517/ccdc.csd.cc1pn6p7
title: CCDC 1568559: Experimental Crystal Structure Determination

description: Related Article: Shaoyu Mai, Yixin Luo, Xianyun Huang, Zhenghao Shu, Bingnan Li, Yu Lan, Qiuling Song|2018|Chem.Commun.|54|10240|doi:10.1039/C8CC05390A
description: Related Article: Shaoyu Mai|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.
DOI: 10.5517/ccdc.csd.cc1ywxwm
title: CCDC 1814302: Experimental Crystal Structure Determination

description: Related Article: Kai Yang, Guan Zhang, Qiuling Song|2018|Chemical Science|9|7666|doi:10.1039/C8SC02281J
description: Related Article: Kai Yang, Guan Zhang, Qiuling Song|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.