cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24whj2
title: CCDC 1992634: Experimental Crystal Structure Determination

description: Related Article: Khai-Nghi Truong, J. Mikko Rautiainen, Kari Rissanen, Rakesh Puttreddy|2020|Cryst.Growth Des.|20|5330|doi:10.1021/acs.cgd.0c00560
DOI: 10.5517/ccdc.csd.cc24whk3
title: CCDC 1992635: Experimental Crystal Structure Determination

description: Related Article: Khai-Nghi Truong, J. Mikko Rautiainen, Kari Rissanen, Rakesh Puttreddy|2020|Cryst.Growth Des.|20|5330|doi:10.1021/acs.cgd.0c00560
DOI: 10.5517/ccdc.csd.cc24whl4
title: CCDC 1992636: Experimental Crystal Structure Determination

description: Related Article: Khai-Nghi Truong, J. Mikko Rautiainen, Kari Rissanen, Rakesh Puttreddy|2020|Cryst.Growth Des.|20|5330|doi:10.1021/acs.cgd.0c00560
DOI: 10.5517/ccdc.csd.cc24whm5
title: CCDC 1992637: Experimental Crystal Structure Determination

description: Related Article: Khai-Nghi Truong, J. Mikko Rautiainen, Kari Rissanen, Rakesh Puttreddy|2020|Cryst.Growth Des.|20|5330|doi:10.1021/acs.cgd.0c00560
DOI: 10.5517/ccdc.csd.cc24whn6
title: CCDC 1992638: Experimental Crystal Structure Determination

description: Related Article: Khai-Nghi Truong, J. Mikko Rautiainen, Kari Rissanen, Rakesh Puttreddy|2020|Cryst.Growth Des.|20|5330|doi:10.1021/acs.cgd.0c00560
DOI: 10.5517/ccdc.csd.cc24ynzr
title: CCDC 1994725: Experimental Crystal Structure Determination

description: Related Article: Saber Mirzaei, Edison Castro, Raúl Hernández Sánchez|2020|Chemical Science|11|8089|doi:10.1039/D0SC03384G
DOI: 10.5517/ccdc.csd.cc24l2wq
title: CCDC 1983593: Experimental Crystal Structure Determination

description: Related Article: rui yang|2020|CSD Communication|||
description: Related Article: Rui Yang, Zhen Dong, Zhiwen Ye|2020|New J.Chem.|44|13576|doi:10.1039/D0NJ01166E
DOI: 10.5517/ccdc.csd.cc24l2ys
title: CCDC 1983595: Experimental Crystal Structure Determination

description: Related Article: rui yang|2020|CSD Communication|||
description: Related Article: Rui Yang, Zhen Dong, Zhiwen Ye|2020|New J.Chem.|44|13576|doi:10.1039/D0NJ01166E
DOI: 10.5281/zenodo.3988127
title: Reproduction packages for the paper "Spectral and Imaging properties of Sgr A∗ from High-Resolution 3 DGRMHD Simulations with Radiative Cooling"

description: This is a basic reproduction package for the paper"Spectral and Imaging properties of Sgr A∗ from High-Resolution 3D GRMHD Simulations with Radiative Cooling" by Yoon et al. (2020). It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.3972411
title: Artifact for the ICSME 2020 Paper - ifdef Directives and Program Comprehension The Dilemma between Correctness and Preference

description: Repository of the Replication Package (data.zip) for the Manuscript “#ifdef Directives and Program Comprehension: A Study on Performance versus Perception” by Wolfram Fenske, Jacob Krüger, Maria Kanyshkova, and Sandro Schulze, accepted at ICSME 2020.
DOI: 10.5281/zenodo.3972410
title: Artifact for the ICSME 2020 Paper - ifdef Directives and Program Comprehension The Dilemma between Correctness and Preference

description: Repository of the Replication Package (data.zip) for the Manuscript “#ifdef Directives and Program Comprehension: A Study on Performance versus Perception” by Wolfram Fenske, Jacob Krüger, Maria Kanyshkova, and Sandro Schulze, accepted at ICSME 2020.
DOI: 10.35111/s345-dg50
title: CALLFRIEND American English-Southern Dialect Second Edition

description: Introduction
<br><br>
CALLFRIEND American English-Southern Dialect Second Edition was developed by LDC and consists of approximately 26 hours of unscripted telephone conversations between native speakers of Southern dialects of American English. This second edition updates the audio files to wav format, simplifies the directory structure and adds documentation and metadata. The first edition is available as CALLFRIEND American English-Southern Dialect (LDC96S47).
<br><br>
The CALLFRIEND series is a collection of telephone conversations in several languages conducted by LDC in support of language identification technology development. Languages covered in the collection include American English, Canadian French, Egyptian Arabic, Farsi, German, Hindi, Japanese, Korean, Mandarin Chinese, Spanish, Tamil and Vietnamese.
Data
<br><br>
All data was collected before July 1997. Participants could speak with a person of their choice on any topic; most called family members and friends. All calls originated in North America. The recorded conversations last up to 30 minutes.
<br><br>
The data was recorded as 8kHz u-law SPH encoded stereo files, with one end of the phone call on each channel. In this release, files were converted to WAV format, and information from the original SPH headers is described in the documentation. SPH files are not included in this second edition.
<br><br>
The audio files were originally split into train, dev and test folders of 20 recordings each, but they are combined in this release.
<br><br>
Completed calls passed through a human auditing process to verify that the target language was spoken by the participants, to check the quality of the recordings, and to record information about dialect, noise and distortion.
Samples
<br><br>
Please view this audio sample.
Updates
<br><br>
None at this time.
Copyright
Portions © 1996, 1997, 2020 Trustees of the University of Pennsylvania
DOI: 10.35111/gmn6-c105
title:  DEFT Chinese Light and Rich ERE Annotation

description: Introduction
<br><br>
DEFT Chinese Light and Rich ERE Annotation was developed by the Linguistic Data Consortium (LDC) and consists of 157 Chinese discussion forum documents annotated for entities, relations and events (ERE).
<br><br>
DARPA's Deep Exploration and Filtering of Text (DEFT) program aimed to address remaining capability gaps in state-of-the-art natural language processing technologies related to inference, causal relationships and anomaly detection. LDC supported the DEFT program by collecting, creating and annotating a variety of data sources.
<br><br>
Light ERE annotation labels entity mentions for the target set of entity, relation and event types between and among those entities, including coreference. Rich ERE annotation expands types and tagging in the entities, relations, and events annotation tasks and replaces strict event coreference with a more loosely defined event hopper annotation. Further information about the annotation methodology is contained in the documentation accompanying this release.
Data
<br><br>
The source data in this release is Chinese discussion forum web text collected by LDC. All files (157) were annotated following Light ERE annotation guidelines; a subset (149) were also labeled with Rich ERE annotation.
<br><br>
Below is a data summary:
ERE 	Files 	Characters 	Entities (mentions) 	Fillers 	Relations 	Event Hoppers
Light 	157 	164,038 	6,444 (16,997) 	N/A 	2,401 	817 (1,107)
Rich 	149 	134,745 	6,924 (16,471) 	792 	2,298 	1,736 (2,360)
<br><br>
Source documents are in plain text format, annotation is in XML format, and both are UTF-8 encoded.
Samples
<br><br>
Please view the following samples:
<br><br>
    Source (TXT)
    Light ERE (XML)
    Rich ERE (XML)
<br><br>
Updates
<br><br>
None at this time.
Acknowledgement
<br><br>
This material is based on research sponsored by Air Force Research Laboratory and Defense Advance Research Projects Agency under agreement number FA8750-13-2-0045. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of Air Force Research Laboratory and Defense Advanced Research Projects Agency or the U.S. Government.
Copyright
Portions © 2020 Trustees of the University of Pennsylvania
DOI: 10.5281/zenodo.3754079
title: Hawaii peridotite xenoliths EBSD data

description: Crystal-preferred orientations (CPO) map data for spinel-peridotite xenoliths of 48 spinel-peridotites from four localities in three Hawaiian islands: Salt Lake (SAL) and Pali (PAL) in Oahu, Grove Farm (GF) in Kauai, and Pu'uwai (PU) in Nihau. CPO of olivine, pyroxenes, garnet, and spinel were measured at the SEM-EBSD facility at Geosciences Montpellier by indexing of electron back-scattered diffraction (EBSD) patterns produced by interaction of an incident electron beam with a carefully polished thin section tilted at 70° to the electron beam. Measurements were performed in a JEOL JSM 5600 scanning electron microscope using an acceleration voltage of 17 kV and a working distance of 23 mm. Maps covering almost entirely each thin section were obtained using steps between 15 and 35 μm, depending on grain size. Indexing rates ranged between 80 and 90%. Lower indexation rates (70-80%) were obtained for a few peridotites (GF1B2F, GF4), which show some alteration along grain boundaries due to reaction with the host basalt. Orthopyroxene and clinopyroxene were seldom misindexed for one another. Inaccurate mineral determination and misindexing due to olivine pseudo-symmetry were corrected by careful post-acquisition data treatment controlled by comparing EBSD maps and optical microscopy observations.
description: The analysis of these data is presented in the article: Tommasi, A., Mameri, L., Godard, M. (2020) Textural and compositional changes in the lithospheric mantle atop the Hawaiian plume: Consequences for seismic properties. Geochem. Geophys. Geosyst., e2020GC009138, doi 10.1029/2020GC009138
description: {"references": ["Tommasi, A., Mameri, L., Godard, M. (2020) Textural and compositional changes in the lithospheric mantle atop the Hawaiian plume: Consequences for seismic properties. Geochem. Geophys. Geosyst., e2020GC009138, doi 10.1029/2020GC009138"]}
DOI: 10.5281/zenodo.3754078
title: Hawaii peridotite xenoliths EBSD data

description: Crystal-preferred orientations (CPO) map data for spinel-peridotite xenoliths of 48 spinel-peridotites from four localities in three Hawaiian islands: Salt Lake (SAL) and Pali (PAL) in Oahu, Grove Farm (GF) in Kauai, and Pu'uwai (PU) in Nihau. CPO of olivine, pyroxenes, garnet, and spinel were measured at the SEM-EBSD facility at Geosciences Montpellier by indexing of electron back-scattered diffraction (EBSD) patterns produced by interaction of an incident electron beam with a carefully polished thin section tilted at 70° to the electron beam. Measurements were performed in a JEOL JSM 5600 scanning electron microscope using an acceleration voltage of 17 kV and a working distance of 23 mm. Maps covering almost entirely each thin section were obtained using steps between 15 and 35 μm, depending on grain size. Indexing rates ranged between 80 and 90%. Lower indexation rates (70-80%) were obtained for a few peridotites (GF1B2F, GF4), which show some alteration along grain boundaries due to reaction with the host basalt. Orthopyroxene and clinopyroxene were seldom misindexed for one another. Inaccurate mineral determination and misindexing due to olivine pseudo-symmetry were corrected by careful post-acquisition data treatment controlled by comparing EBSD maps and optical microscopy observations.
description: The analysis of these data is presented in the article: Tommasi, A., Mameri, L., Godard, M. (2020) Textural and compositional changes in the lithospheric mantle atop the Hawaiian plume: Consequences for seismic properties. Geochem. Geophys. Geosyst., e2020GC009138, doi 10.1029/2020GC009138
description: {"references": ["Tommasi, A., Mameri, L., Godard, M. (2020) Textural and compositional changes in the lithospheric mantle atop the Hawaiian plume: Consequences for seismic properties. Geochem. Geophys. Geosyst., e2020GC009138, doi 10.1029/2020GC009138"]}
DOI: 10.5281/zenodo.3988208
title: Reproduction packages for the paper "Spectral and Imaging properties of Sgr A∗ from High-Resolution 3 DGRMHD Simulations with Radiative Cooling"

description: This is a basic reproduction package for the paper"Spectral and Imaging properties of Sgr A∗ from High-Resolution 3D GRMHD Simulations with Radiative Cooling" by Yoon et al. (2020). It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.5281/zenodo.3988126
title: Reproduction packages for the paper "Spectral and Imaging properties of Sgr A∗ from High-Resolution 3 DGRMHD Simulations with Radiative Cooling"

description: This is a basic reproduction package for the paper"Spectral and Imaging properties of Sgr A∗ from High-Resolution 3D GRMHD Simulations with Radiative Cooling" by Yoon et al. (2020). It aims to provide the most important data products to check and reproduce the main results of the paper.
DOI: 10.21227/m4pb-g538
title: A Densely-Deployed, High Sampling Rate, Open-Source Air Pollution Monitoring WSN

description: This work contains data gathered by a series of sensors (PM 10, PM 2.5, temperature, relative humidity, and pressure) in the city of Turin in the north part of Italy (more precisely, at coordinates 45.041903N, 7.625850E). The data has been collected for a period of 5 months, from October 2018 to February 2019. The scope of the study was to address the calibration of low-cost particulate matter sensors and compare the readings against official measures provided by the Italian environmental agency (ARPA Piemonte). The database proposed has been designed as general enough to handle not only PM measures plus temperature and relative humidity but also almost any other quantity, such as altitude, wind speed and direction, radioactivity, electromagnetic pollution, etc.The total size of the database is about 50GB of time-stamped data. The directory also contains several useful scripts that can be used to perform the calibration and the analysis of the acquired data, such as plotting graphs, displaying the correlation with the reference values, printing measurement errors, etc. The scripts implement two commonly used calibration techniques, namely Multivariate Linear Regression and Random Forest, resorting to the SciKitLearn Python library. The README files included in the main subdirectories report hints and comments on the data set format and the logic of the scripts. Please refer to them for further details. Please note that, following article 18.5 of Italian Decree 155/2010 on the dissemination of air quality data, which absorbs EU directive 2008/50/CE, ARPA Piemonte (http://www.arpa.piemonte.it/english-version) can not be ascribed for any mistake in these data, that can not be considered official, unlike the ones provided by ARPA itself. Authors can be contacted at the following addresses:{bartolomeo.montrucchio, edoardo.giusto, mohammad.ghazivakili, stefano.quer, renato.ferrero}@polito.it, and c.fornaro@uninettunouniversity.net
DOI: 10.21227/s7kq-2r68
title: A Densely-Deployed, High Sampling Rate, Open-Source Air Pollution Monitoring WSN

description: This work contains data gathered by a series of sensors (PM 10, PM 2.5, temperature, relative humidity, and pressure) in the city of Turin in the north part of Italy (more precisely, at coordinates 45.041903N, 7.625850E). The data has been collected for a period of 5 months, from October 2018 to February 2019. The scope of the study was to address the calibration of low-cost particulate matter sensors and compare the readings against official measures provided by the Italian environmental agency (ARPA Piemonte). The database proposed has been designed as general enough to handle not only PM measures plus temperature and relative humidity but also almost any other quantity, such as altitude, wind speed and direction, radioactivity, electromagnetic pollution, etc.The total size of the database is about 50GB of time-stamped data. The directory also contains several useful scripts that can be used to perform the calibration and the analysis of the acquired data, such as plotting graphs, displaying the correlation with the reference values, printing measurement errors, etc. The scripts implement two commonly used calibration techniques, namely Multivariate Linear Regression and Random Forest, resorting to the SciKitLearn Python library. The README files included in the main subdirectories report hints and comments on the data set format and the logic of the scripts. Please refer to them for further details. Please note that, following article 18.5 of Italian Decree 155/2010 on the dissemination of air quality data, which absorbs EU directive 2008/50/CE, ARPA Piemonte (http://www.arpa.piemonte.it/english-version) can not be ascribed for any mistake in these data, that can not be considered official, unlike the ones provided by ARPA itself. Authors can be contacted at the following addresses:{bartolomeo.montrucchio, edoardo.giusto, mohammad.ghazivakili, stefano.quer, renato.ferrero}@polito.it, and c.fornaro@uninettunouniversity.net
DOI: 10.5281/zenodo.3987967
title: Raw Date of Manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography version 2 modeling》

description: Raw date and materials of the manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography Version 2 modelling》
DOI: 10.5281/zenodo.3987966
title: Raw Date of Manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography version 2 modeling》

description: Raw date and materials of the manuscript 《Quantifying the ice storage in the Upper Indus River basin with the ground-penetrating radar measurements and Glacier Bed Topography Version 2 modelling》
DOI: 10.7910/dvn/1qoxqr/rmev9y
title: Anopheles_merus_collection_data.tab

description: :unav
DOI: 10.7910/dvn/1qoxqr/hxlwpm
title: Merus review script.R

description: :unav
DOI: 10.7910/dvn/1qoxqr/hgiiwb
title: Anopheles_merus_review_DATASET_readme.txt

description: :unav
DOI: 10.7910/dvn/1qoxqr/navooz
title: Anopheles_merus_review_DATASET_Codebook.pdf

description: :unav
DOI: 10.21227/n3qb-4895
title: A Densely-Deployed, High Sampling Rate, Open-Source Air Pollution Monitoring WSN

description: This work contains data gathered by a series of sensors (PM 10, PM 2.5, temperature, relative humidity, and pressure) in the city of Turin in the north part of Italy (more precisely, at coordinates 45.041903N, 7.625850E). The data has been collected for a period of 5 months, from October 2018 to February 2019. The scope of the study was to address the calibration of low-cost particulate matter sensors and compare the readings against official measures provided by the Italian environmental agency (ARPA Piemonte). The database proposed has been designed as general enough to handle not only PM measures plus temperature and relative humidity but also almost any other quantity, such as altitude, wind speed and direction, radioactivity, electromagnetic pollution, etc.The total size of the database is about 50GB of time-stamped data. The directory also contains several useful scripts that can be used to perform the calibration and the analysis of the acquired data, such as plotting graphs, displaying the correlation with the reference values, printing measurement errors, etc. The scripts implement two commonly used calibration techniques, namely Multivariate Linear Regression and Random Forest, resorting to the SciKitLearn Python library. The README files included in the main subdirectories report hints and comments on the data set format and the logic of the scripts. Please refer to them for further details. Please note that, following article 18.5 of Italian Decree 155/2010 on the dissemination of air quality data, which absorbs EU directive 2008/50/CE, ARPA Piemonte (http://www.arpa.piemonte.it/english-version) can not be ascribed for any mistake in these data, that can not be considered official, unlike the ones provided by ARPA itself. Authors can be contacted at the following addresses:{bartolomeo.montrucchio, edoardo.giusto, mohammad.ghazivakili, stefano.quer, renato.ferrero}@polito.it, and c.fornaro@uninettunouniversity.net
DOI: 10.25919/5f3a8a2b8fd57
title: Parkes observations for project P455 semester 2020APRS_02

description: This project is to continue timing and profile studies of the first double-pulsar system, a unique laboratory for gravitational physics. Recent results, including the first measurements of higher-order light-propagation effects and of the relativistic deformation of the orbit, highlight the importance of a long term observational campaign for this remarkable system. The main aims of this proposal are to provide the strongest tests to date for general relativity and to measure for the first time the moment-of-inertia of a neutron star. Additionally, we will determine the system geometry and map the pulsar beams via geodetic precession. Whenever possible, we will exploit the high sensitivity of the new UWL receiver.
DOI: 10.25919/5f3a8a444eba7
title: Parkes observations for project P574 semester 2020APRS_02

description: We request time to observe 260 pulsars on a regular basis in order to provide the accurate ephemerides necessary for the detection and characterisation of gamma-ray pulsars with the Fermi satellite. The main science goals are to increase the number of known gamma-ray pulsars (both radio-loud and radio-quiet), to determine accurate pulse profiles, and to characterise their high energy (phase-resolved) spectra. In the radio, the observations will also allow us to find glitches, characterise timing noise, investigate dispersion and rotation measure variability, and enhance our knowledge of single pulse phenomenology. To date, we are (co-)authors on over 80 papers arising from the collaboration and P574 data. The data have contributed to the PhD theses of students from Bordeaux, Oxford, Manchester, Stanford, and Swinburne.
DOI: 10.15468/dl.jqhcnn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Lithobius bostryx Brölemann, 1897",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103144-240626123714530/datasets/export for details.
DOI: 10.15468/dl.vhx2y5
title: Occurrence Download

description: A dataset containing 1965 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Stelidota geminata (Say, 1825)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 1965 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103145-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffbjzh
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sorbus herbipolitana Meierott)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 44 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0103146-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.