cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20k6d6
title: CCDC 1863577: Experimental Crystal Structure Determination

description: Related Article: Assma Benkada, Helge Reinsch, Michael Poschmann, Jan Krahmer, Nicole Pienack, Wolfgang Bensch|2019|Inorg.Chem.|58|2354|doi:10.1021/acs.inorgchem.8b02773
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.cc20kbfc
title: CCDC 1863702: Experimental Crystal Structure Determination

description: Related Article: Jie Shen, Hongzhen Bai, Xinbo Zhou, Jiyong Liu, Xiurong Hu, Paul K. Chu, Guping Tang|2019|CrystEngComm|21|1102|doi:10.1039/C8CE02110D
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: 10.17632/2kykngrt7t.1
title: Data for: Effective heuristics and metaheuristics to minimize total flowtime for the distributed permutation flowshop problem

description: All the results used in Section 6.2.
DOI: 10.17632/rmrj7ghb5g.2
title: Factors affecting students’ eLearning at one South African medical school: A cross-sectional survey

description: Find attached survey instrument and statistical analyses using the Kruskal Wallis ANOVA
DOI: 10.5066/p9op3bhm
title: Summary of soil field-saturated hydraulic conductivity, hydrophobicity, preferential-flow, and particle-size measurements collected at four research sites on the island of Maui, Hawaii, September 2017-August 2018

description: The U.S. Geological Survey and the University of Hawaii at Manoa, in cooperation with the County of Maui Department of Water Supply and the State of Hawaii Commission on Water Resource Management, initiated a field data-collection program to provide information for evaluating how infiltration rates and soil hydrophobicity are dependent on plant species type within forested areas on the island of Maui. The field data collection is part of a study to quantify the impacts of high-priority non-native and dominant native plant species on freshwater availability throughout the State of Hawaii (https://archive.usgs.gov/archive/sites/hi.water.usgs.gov/studies/maui_eco/index.html). The overall objective of the study is to provide needed information for (1) assessing species-specific impacts on freshwater availability and (2) reducing uncertainty in regional recharge estimates associated with forested areas. This dataset includes a summary of measurements of soil field-saturated hydraulic conductivity, hydrophobicity, and preferential flow collected at four study sites on the island of Maui, Hawaii between September 2017 and August 2018. The dataset also includes a summary of soil particle-size analyses made on a subset of soil samples collected from the four sites. This data release includes four files: a summary file, two results files, and a metadata file: The summary file [Maui_P1A_summary_file.pdf] includes a table and map of the study sites, oblique areal imagery of the measurement plots at each study site, and a schematic of the measurement location configuration for each plot. The infiltration data file [Maui_P1A_infiltration_data.csv] contains attributes that describe the study site, dominant vegetation, measurement date, measurement location identification code, and measurement results of soil field-saturated hydraulic conductivity, hydrophobicity, and preferential flow for all 226 individual measurement locations. The particle size data file [Maui_P1A_soil_particle_size_data.csv] contains all laboratory soil particle-size results for a total of 45 soil samples collected from a subset of individual measurement locations. The metadata file [Maui_P1A_infiltration_particle_size_data_release_metadata.xml] includes explanation of the contents of the two data files and detailed descriptions of the methods used for each measurement. Measurements were made at four different study sites on the island of Maui: Waikamoi, Maluhia, Kahoma and Waikahi (see table 1 and figure 1 in summary file). Each study site is located in forested land and consisted of one or more plots dominated by a high-priority non-native species and an adjacent or nearby plot dominated by native species.
DOI: 10.5281/zenodo.2554670
title: Solar Eclipse 2017 recordings of the the medium-wave AM broadcast band from near Medicine Hat, AB, Canada

description: recorded by Nigel Pimblett,  VE6TNF

location recorded:  49°51'20" N    110°42'36" W

These data files are recordings of the entire medium wave broadcast band (535-1705kHz) from 16:55:10UTC to 18:15:03UTC, recorded near Medicine Hat, AB, Canada.   Data files are .wav format, but the archived files are .zip, with two .wav files packaged together in each .zip file 

Antenna:   Beverage, 2.5m above the ground, 300m length,  oriented towards 145 degrees;  

Receiver:  Microtelecom Perseus SDR (http://microtelecom.it/perseus/) with no front end attenuation, center frequency set at 1000kHz, recording 1600kHz wide passband, using Perseus software (http://microtelecom.it/perseus/software.html)
description: In the AM broadcast band (535-1705kHz), there are roughly two modes of broadcast station signal coverage, one of which occurs in the daytime, and the other at night.   During the day time, signals are propagated by ground wave and and not usually heard well beyond 150km from the transmitter.  However, at night, an absorptive region in the ionosphere, the D-layer, disappears, allowing signals to refract off higher regions of the ionosphere, and to be heard hundreds and even thousands, of kilometers away from the transmitter.   During the solar eclipse of 21 August 2017, signals were observed changing from daytime to nighttime mode and then back again as the moon's shadow moved across the continental USA.

The radio stations in this band use amplitude modulation, which requires a strong stable carrier wave, well suited for observing changes in signal strength over a time period.

Included in these files is one provided by Microtelecom ("Perseusv5demo.exe") for playback of the .wav files, plus a help file, "PerseusV5QuickTuningGuide.pdf".  As well, there is a reference file to assist in identifying signals ("canusa-Jan2019.pdf").   Finally, there is set of instructions for using the software, including instructions for using "Perseusv5demo.exe" to extract a time series of signal power for an individual radio station's signal ("Using Perseusv5demo to create signal strength time series.pdf").
Finally, referencing the article archived at http://hamsci.org/sites/default/files/publications/2019_am-eclipse2017_hall-patch.pdf , will give the user of these files an idea of how radio reception datasets from different locations can be used to compare the effects that the solar eclipse had on radio propagation.
DOI: 10.5281/zenodo.2554671
title: Solar Eclipse 2017 recordings of the the medium-wave AM broadcast band from near Medicine Hat, AB, Canada

description: recorded by Nigel Pimblett,  VE6TNF

location recorded:  49°51'20" N    110°42'36" W

These data files are recordings of the entire medium wave broadcast band (535-1705kHz) from 16:55:10UTC to 18:15:03UTC, recorded near Medicine Hat, AB, Canada.   Data files are .wav format, but the archived files are .zip, with two .wav files packaged together in each .zip file 

Antenna:   Beverage, 2.5m above the ground, 300m length,  oriented towards 145 degrees;  

Receiver:  Microtelecom Perseus SDR (http://microtelecom.it/perseus/) with no front end attenuation, center frequency set at 1000kHz, recording 1600kHz wide passband, using Perseus software (http://microtelecom.it/perseus/software.html)
description: In the AM broadcast band (535-1705kHz), there are roughly two modes of broadcast station signal coverage, one of which occurs in the daytime, and the other at night.   During the day time, signals are propagated by ground wave and and not usually heard well beyond 150km from the transmitter.  However, at night, an absorptive region in the ionosphere, the D-layer, disappears, allowing signals to refract off higher regions of the ionosphere, and to be heard hundreds and even thousands, of kilometers away from the transmitter.   During the solar eclipse of 21 August 2017, signals were observed changing from daytime to nighttime mode and then back again as the moon's shadow moved across the continental USA.

The radio stations in this band use amplitude modulation, which requires a strong stable carrier wave, well suited for observing changes in signal strength over a time period.

Included in these files is one provided by Microtelecom ("Perseusv5demo.exe") for playback of the .wav files, plus a help file, "PerseusV5QuickTuningGuide.pdf".  As well, there is a reference file to assist in identifying signals ("canusa-Jan2019.pdf").   Finally, there is set of instructions for using the software, including instructions for using "Perseusv5demo.exe" to extract a time series of signal power for an individual radio station's signal ("Using Perseusv5demo to create signal strength time series.pdf").
Finally, referencing the article archived at http://hamsci.org/sites/default/files/publications/2019_am-eclipse2017_hall-patch.pdf , will give the user of these files an idea of how radio reception datasets from different locations can be used to compare the effects that the solar eclipse had on radio propagation.
DOI: 10.5517/ccdc.csd.cc20kp7j
title: CCDC 1864037: Experimental Crystal Structure Determination

description: Related Article: Long Li, Xin-Qi Zhu, Ying-Qi Zhang, Hao-Zhen Bu, Peng Yuan, Jinyu Chen, Jingyi Su, Xianming Deng, Long-Wu Ye|2019|Chemical Science|10|3123|doi:10.1039/C9SC00079H
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.cc20krbp
title: CCDC 1864102: Experimental Crystal Structure Determination

description: Related Article: Hongjun Jeon, Hyunkyung Cho, Sanghee Kim|2019|Org.Lett.|21|1121|doi:10.1021/acs.orglett.9b00036
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: 10.5281/zenodo.2546676
title: SINS database - Node 1 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2546677
title: SINS database - Node 1 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5517/ccdc.csd.cc20mx1m
title: CCDC 1866170: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mx2n
title: CCDC 1866171: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mx3p
title: CCDC 1866172: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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.cc20mx4q
title: CCDC 1866173: Experimental Crystal Structure Determination

description: Related Article: Cornelius Gropp, Tamara Husch, Nils Trapp, Markus Reiher, François Diederich|2018|Angew.Chem.,Int.Ed.|57|16296|doi:10.1002/anie.201810562
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: 10.5281/zenodo.2547306
title: SINS database - Node 2 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547307
title: SINS database - Node 2 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2555472
title: Binary black-hole simulation SXS:BBH:1432

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555473
title: Binary black-hole simulation SXS:BBH:1432

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2547308
title: SINS database - Node 3 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}
DOI: 10.5281/zenodo.2547309
title: SINS database - Node 3 - Daily activities in a home environment recorded using a Acoustic Sensor Network

description: The SINS database contains continuous recordings of a single person living in a vacation home over a period of one week. It was collected using a network of 13 microphone arrays distributed over the entire home. The microphone array consists of 4 linearly arranged microphones.Recordings were manually annotated on the level of daily activities performed in the environment.<br>
<br>
To obtain more information on the database please visit this website and read the published paper.<br>
<strong>Please read to license file (available in this repository) before using the database.</strong><br>
<br>
When using this database you should <strong>cite the following paper</strong>:<br>
Gert Dekkers, Steven Lauwereins, Bart Thoen, Mulu Weldegebreal Adhana, Henk Brouckxon, Toon van Waterschoot, Bart Vanrumste, Marian Verhelst, and Peter Karsmakers, The SINS database for detection of daily activities in a home environment using an acoustic sensor network, Proceedings of the Detection and Classification of -Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp 32–36, November 2017.
description: {"references": ["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 sensor network,\" in Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), Munich, Germany, November 2017, pp. 32\u201336."]}