cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.1317748
title: Artifact Evaluation For At-Opt Pact 2018

description: Artifact Evaluation Reproduction for "Optimizing Remote Data Transfers in X10", PACT 2018.

------------------------------------------------------------------------------------------

This repository contains artifacts and source codes<br>
to reproduce experiments from the PACT 2018 research paper<br>
titled "Optimizing Remote Data Transfers in X10"

Our evaluations are done on Linux based Operation system.

<br>
Hardware pre-requisities:<br>
-------------------------<br>
We recommend the following architectures any of the following architectures:<br>
* An Intel System with two nodes, each node having 32 cores (32 CPUs). Total 64 cores.<br>
* An AMD System, with two nodes, each node having 16 cores (16 CPUs). Total 32 cores.<br>
 

<br>
Software pre-requisites:<br>
------------------------<br>
1) For Evaluation using Virtual Machine required software are already installed in the provided image.<br>
A VirtualBox (from Oracle) is required to install the image and do evaluation.

2) For Manual evalution, the below required software needs to be installed in the system.<br>
* g++ (preferred version 5.4.0)<br>
* Apache ant software (preferred version 1.9.6 )<br>
* Java software<br>
    - preferred jvm jdk1.8.0_151 (or) java-8-oracle<br>
    - After installation, set JAVA_HOME path in ~/.bashrc to point to the installed JAVA bin

<br>
Benchmarks:<br>
-----------<br>
1) Taken from IMSuite Benchmark kernels (http://www.cse.iitm.ac.in/~krishna/imsuite/). Already, included in the package.

<br>
Installation, Execution and Validation of results:<br>
--------------------------------------------------<br>
1) For Evaluation using Virtual Machine see README.md file in ./AE/VM folder

2) For Evaluation using Manual method see README.md file in ./AE/Manual folder

3) For Evaluating AT-Opt technique againt varing input sizes (not discussed in the paper), look at<br>
web page http://www.cse.iitm.ac.in/~krishna/imsuite/. In the ./AE/Manual folder,  "x10-base" folder is<br>
the baseline compiler (after bulid) and "x10-atOpt" (after build) folder is the AT-Opt compiler (has our techniques implemented).  

<br>
If anything in unclear, or any unexpected results occur, please report it to the authors
DOI: 10.5281/zenodo.1317749
title: Artifact Evaluation For At-Opt Pact 2018

description: Artifact Evaluation Reproduction for "Optimizing Remote Data Transfers in X10", PACT 2018.

------------------------------------------------------------------------------------------

This repository contains artifacts and source codes<br>
to reproduce experiments from the PACT 2018 research paper<br>
titled "Optimizing Remote Data Transfers in X10"

Our evaluations are done on Linux based Operation system.

<br>
Hardware pre-requisities:<br>
-------------------------<br>
We recommend the following architectures any of the following architectures:<br>
* An Intel System with two nodes, each node having 32 cores (32 CPUs). Total 64 cores.<br>
* An AMD System, with two nodes, each node having 16 cores (16 CPUs). Total 32 cores.<br>
 

<br>
Software pre-requisites:<br>
------------------------<br>
1) For Evaluation using Virtual Machine required software are already installed in the provided image.<br>
A VirtualBox (from Oracle) is required to install the image and do evaluation.

2) For Manual evalution, the below required software needs to be installed in the system.<br>
* g++ (preferred version 5.4.0)<br>
* Apache ant software (preferred version 1.9.6 )<br>
* Java software<br>
    - preferred jvm jdk1.8.0_151 (or) java-8-oracle<br>
    - After installation, set JAVA_HOME path in ~/.bashrc to point to the installed JAVA bin

<br>
Benchmarks:<br>
-----------<br>
1) Taken from IMSuite Benchmark kernels (http://www.cse.iitm.ac.in/~krishna/imsuite/). Already, included in the package.

<br>
Installation, Execution and Validation of results:<br>
--------------------------------------------------<br>
1) For Evaluation using Virtual Machine see README.md file in ./AE/VM folder

2) For Evaluation using Manual method see README.md file in ./AE/Manual folder

3) For Evaluating AT-Opt technique againt varing input sizes (not discussed in the paper), look at<br>
web page http://www.cse.iitm.ac.in/~krishna/imsuite/. In the ./AE/Manual folder,  "x10-base" folder is<br>
the baseline compiler (after bulid) and "x10-atOpt" (after build) folder is the AT-Opt compiler (has our techniques implemented).  

<br>
If anything in unclear, or any unexpected results occur, please report it to the authors
DOI: 10.5281/zenodo.1311811
title: Black Sea Cold Intermediate Layer Cold Content From In-Situ And Modelling Sources (1955-2017)

description: Data files provided in support of  'Global warming triggered a reduced and intermittent ventilation regime in the Black Sea', by Capet et al, 2018.

Black_Sea_CIL_Cold_Content_Annual.nc  contains the spatial and annual averages of the Black Sea cold intermediate layer cold content, as defined in the above reference, and derived from multiple in-situ and modelling sources, for the period (1955-2017).

Black_Sea_CIL_Cold_Content_Weekly.nc  contains the spatial and weekly averages of the Black Sea cold intermediate layer cold content, as defined in the above reference, and derived from the GHER3D model, for the period (1981-2017).
description: The compliance of the data files with CF-1.7 conventions has been tested with http://pumatest.nerc.ac.uk/cgi-bin/cf-checker.pl
DOI: 10.5281/zenodo.1317593
title: Attempted Expression And Purification Of Full-Length Huntingtin Q23 With Putative Interaction Partners From Baculoviral Expression System Production In Sf9 Insect Cells – 2018/07/19

description: <strong>Project</strong> - Huntingtin structure-function open lab notebook. 

<strong>Rationale: </strong>To obtain monodisperse and conformationally constrained huntingtin protein samples for high resolution structural biology, interaction partners are required as highlighted by Guo et al (2018).
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research. This project is funded and supported with generous funding from the Huntington Society of Canada and the CHDI Foundation. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1317594
title: Attempted Expression And Purification Of Full-Length Huntingtin Q23 With Putative Interaction Partners From Baculoviral Expression System Production In Sf9 Insect Cells – 2018/07/19

description: <strong>Project</strong> - Huntingtin structure-function open lab notebook. 

<strong>Rationale: </strong>To obtain monodisperse and conformationally constrained huntingtin protein samples for high resolution structural biology, interaction partners are required as highlighted by Guo et al (2018).
description: Dr. Harding is the recipient of the Huntington's Disease Society of America Berman Topper Career Development Fellowship which funds and supports this research. This project is funded and supported with generous funding from the Huntington Society of Canada and the CHDI Foundation. The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.
DOI: 10.5281/zenodo.1317757
title: Artifact Evaluation For "Optimizing Remote Data Transfers In X10" - Pact'18

description: Artifact Evaluation Reproduction for "Optimizing Remote Data Transfers in X10", PACT 2018.

--------------------------------------------------------------------------------------------------------------------

This repository contains artifacts and source codes<br>
to reproduce experiments from the PACT 2018 research paper<br>
titled "Optimizing Remote Data Transfers in X10"

Our evaluations are done on Linux based Operation system.

<br>
Hardware pre-requisities:<br>
------------------------------<br>
We recommend the following architectures any of the following architectures:<br>
* An Intel System with two nodes, each node having 32 cores (32 CPUs). Total 64 cores.<br>
* An AMD System, with two nodes, each node having 16 cores (16 CPUs). Total 32 cores.<br>
 

<br>
Software pre-requisites:<br>
----------------------------<br>
1) For Evaluation using Virtual Machine required software are already installed in the provided image.<br>
A VirtualBox (from Oracle) is required to install the image and do evaluation.

2) For Manual evaluation, the below required software needs to be installed in the system.<br>
* g++ (preferred version 5.4.0)<br>
* Apache ant software (preferred version 1.9.6 )<br>
* Java software<br>
    - preferred jvm jdk1.8.0_151 (or) java-8-oracle<br>
    - After installation, set JAVA_HOME path in ~/.bashrc to point to the installed JAVA bin

<br>
Benchmarks:<br>
---------------<br>
1) Taken from IMSuite Benchmark kernels (http://www.cse.iitm.ac.in/~krishna/imsuite/). Already, included in the package.

<br>
Installation, Execution and Validation of results:<br>
---------------------------------------------------------<br>
1) For Evaluation using Virtual Machine see README.md file in ./AE/VM folder

2) For Evaluation using Manual method see README.md file in ./AE/Manual folder

3) For Evaluating AT-Opt technique againt varing input sizes (not discussed in the paper), look at<br>
web page http://www.cse.iitm.ac.in/~krishna/imsuite/. In the ./AE/Manual folder,  "x10-base" folder is<br>
the baseline compiler (after bulid) and "x10-atOpt" (after build) folder is the AT-Opt compiler (has our techniques implemented).  

<br>
If anything in unclear, or any unexpected results occur, please report it to the authors.
DOI: 10.5281/zenodo.1317758
title: Artifact Evaluation For "Optimizing Remote Data Transfers In X10" - Pact'18

description: Artifact Evaluation Reproduction for "Optimizing Remote Data Transfers in X10", PACT 2018.

--------------------------------------------------------------------------------------------------------------------

This repository contains artifacts and source codes<br>
to reproduce experiments from the PACT 2018 research paper<br>
titled "Optimizing Remote Data Transfers in X10"

Our evaluations are done on Linux based Operation system.

<br>
Hardware pre-requisities:<br>
------------------------------<br>
We recommend the following architectures any of the following architectures:<br>
* An Intel System with two nodes, each node having 32 cores (32 CPUs). Total 64 cores.<br>
* An AMD System, with two nodes, each node having 16 cores (16 CPUs). Total 32 cores.<br>
 

<br>
Software pre-requisites:<br>
----------------------------<br>
1) For Evaluation using Virtual Machine required software are already installed in the provided image.<br>
A VirtualBox (from Oracle) is required to install the image and do evaluation.

2) For Manual evaluation, the below required software needs to be installed in the system.<br>
* g++ (preferred version 5.4.0)<br>
* Apache ant software (preferred version 1.9.6 )<br>
* Java software<br>
    - preferred jvm jdk1.8.0_151 (or) java-8-oracle<br>
    - After installation, set JAVA_HOME path in ~/.bashrc to point to the installed JAVA bin

<br>
Benchmarks:<br>
---------------<br>
1) Taken from IMSuite Benchmark kernels (http://www.cse.iitm.ac.in/~krishna/imsuite/). Already, included in the package.

<br>
Installation, Execution and Validation of results:<br>
---------------------------------------------------------<br>
1) For Evaluation using Virtual Machine see README.md file in ./AE/VM folder

2) For Evaluation using Manual method see README.md file in ./AE/Manual folder

3) For Evaluating AT-Opt technique againt varing input sizes (not discussed in the paper), look at<br>
web page http://www.cse.iitm.ac.in/~krishna/imsuite/. In the ./AE/Manual folder,  "x10-base" folder is<br>
the baseline compiler (after bulid) and "x10-atOpt" (after build) folder is the AT-Opt compiler (has our techniques implemented).  

<br>
If anything in unclear, or any unexpected results occur, please report it to the authors.
DOI: 10.21227/jvzs-x671
title: Example Dataset of Exercise Analysis and Forecasting

description: This data set is an example data set for the data set used in the experiment of the paper "A Multilevel Analysis and Hybrid Forecasting Algorithm for Long Short-term Step Data". It contains two parts of hourly step data and daily step data, each with 500 rows of data. The data has been desensitized. A complete data set can be added depending on the review condition.
DOI: 10.5281/zenodo.1317953
title: Data Underlying Clics Version 1.0

description: This is the data underlying the original CLICS database. It was assembled from four different sources (see http://clics.lingpy.org for details) and is now deposited here to allow users quick access to the underlying data, since CLICS 1.0 has now been superseded by the newly published CLICS² database (http://clics.clld.org).

In this version, we provide the data both in raw wordlist format (following specifications of the LingPy library, http://lingpy.org), and in CLDF format, which makes it possible to conveniently re-use the data in the new API of CLICS².
DOI: 10.5281/zenodo.1317962
title: Data Underlying Clics Version 1.0

description: This is the data underlying the original CLICS database. It was assembled from four different sources (see http://clics.lingpy.org for details) and is now deposited here to allow users quick access to the underlying data, since CLICS 1.0 has now been superseded by the newly published CLICS² database (http://clics.clld.org).

In this version, we provide the data both in raw wordlist format (following specifications of the LingPy library, http://lingpy.org), and in CLDF format, which makes it possible to conveniently re-use the data in the new API of CLICS².
DOI: 10.5517/ccdc.csd.ccqnt16
title: CCDC 675398: Experimental Crystal Structure Determination

description: Related Article: Ying-Ying Kou, Mei-Ling Li, Xiang-Hao Ren|2018|Spectrochim.Acta,Part A|205|435|doi:10.1016/j.saa.2018.07.050
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.ccqtlvy
title: CCDC 680011: Experimental Crystal Structure Determination

description: Related Article: Ying-Ying Kou, Mei-Ling Li, Xiang-Hao Ren|2018|Spectrochim.Acta,Part A|205|435|doi:10.1016/j.saa.2018.07.050
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.cc11ykm5
title: CCDC 981727: Experimental Crystal Structure Determination

description: Related Article: Suranga M. Rajapaksha, Gerald Rowland, Henry U. Valle, Todd Mlsna, Charles U. Pittman Junior|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.cc1ljq2x
title: CCDC 1475819: Experimental Crystal Structure Determination

description: Related Article: Suranga M. Rajapaksha, Gerald Rowland, Henry U. Valle, Todd Mlsna, Charles U. Pittman Junior|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.cc1mt5xj
title: CCDC 1513758: Experimental Crystal Structure Determination

description: Related Article: Jing Jiang, Jie Qiu, Liguang Lou, Anli Gao, Shuqian Hou, Weiping Liu|2018|Res.Chem.Intermed.|44|6479|doi:10.1007/s11164-018-3503-0
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.cc1myn18
title: CCDC 1518040: Experimental Crystal Structure Determination

description: Related Article: A. Priyadharshini, S. Kalainathan|2018|J.Phys.Chem.Solids|123|59|doi:10.1016/j.jpcs.2018.07.011
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.cc1n18hg
title: CCDC 1520565: Experimental Crystal Structure Determination

description: Related Article: Pratik Yadav, Ranjay Shaw, Amr Elagamy, Abhinav Kumar, Ramendra Pratap|2018|Org.Biomol.Chem.|16|5465|doi:10.1039/C8OB01270A
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.cc1nrg1x
title: CCDC 1541879: Experimental Crystal Structure Determination

description: Related Article: M. Tamil Elakkiya, S. PremKumar, M. Sathiyendran, P. Suresh, V. Shanmugaiah, K. Anitha|2018|J.Mol.Struct.|1173|635|doi:10.1016/j.molstruc.2018.07.022
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.cc1p6w6z
title: CCDC 1555741: Experimental Crystal Structure Determination

description: Related Article: Tahir Ali Sheikh, Muhammad Nadeem Arshad, Abdullah M. Asiri, Mohammed M. Rahman|2018|New J.Chem.|42|13589|doi:10.1039/C8NJ02255K
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.cc1p6w70
title: CCDC 1555742: Experimental Crystal Structure Determination

description: Related Article: Tahir Ali Sheikh, Muhammad Nadeem Arshad, Abdullah M. Asiri, Mohammed M. Rahman|2018|New J.Chem.|42|13589|doi:10.1039/C8NJ02255K
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.cc1p7qtg
title: CCDC 1556566: Experimental Crystal Structure Determination

description: Related Article: Wei-Qin Xu,  Chun-Cheng Lin,  Yan-Xuan Qiu,  Shan He,  Tao Jiang,  Xiao-Jun Liu,  Li-Jun Xie,  Olaf Fuhr,  Dieter Fenske,  Ji-Jun Jiang|2018|Chem. Sel.|3|7592|doi:10.1002/slct.201800073
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: 10.21942/uva.6843848
title: Overview of publications reporting use of Cinema Context.xlsx

description: This dataset contains a hand-compiled overview of journal articles, books and PhD dissertations that report usage of the Cinema Context database on Dutch film culture (www.cinemacontext.nl). The set contains publications from researchers affiliated with the HoMER Network known to the authors. A search in Google Books and Google Scholar (with the query ) yielded an additional set of relevant publications, and Google Search ( and ) yet a handful of others. This has resulted in a corpus of 76 texts, including 32 journal articles, 9 books (including 3 published PhD theses), 30 book chapters and 5 PhD dissertations.
DOI: 10.5517/ccdc.csd.cc1zxz62
title: CCDC 1845095: Experimental Crystal Structure Determination

description: Related Article: Lei Mei, Chao Xu, Qun-yan Wu, Kong-qiu Hu, Li-yong Yuan, Jing Chen, Cheng-liang Xiao, Shu-ao Wang, Zhi-fang Chai, Wei-qun Shi|2018|Chem.Commun.|54|8645|doi:10.1039/C8CC05122D
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.cc1zymyh
title: CCDC 1845738: Experimental Crystal Structure Determination

description: Related Article: Roxana Lorenz, Elisabeth Kaifer, Hubert Wadepohl, Hans-Jörg Himmel|2018|Dalton Trans.|47|11016|doi:10.1039/C8DT02176G
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.cc1zymzj
title: CCDC 1845739: Experimental Crystal Structure Determination

description: Related Article: Roxana Lorenz, Elisabeth Kaifer, Hubert Wadepohl, Hans-Jörg Himmel|2018|Dalton Trans.|47|11016|doi:10.1039/C8DT02176G
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.