cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1zwbhp
title: CCDC 1843523: Experimental Crystal Structure Determination

description: Related Article: Yu Ge, Yuan Huang, Jessenia Lisseth Becerra Montenegro, Yanfeng Cui, Wei Liu, Yahong Li, Bao-Lin Wang|2019|Chem.Asian J.|14|986|doi:10.1002/asia.201801643
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.cc1zwbjq
title: CCDC 1843524: Experimental Crystal Structure Determination

description: Related Article: Yu Ge, Yuan Huang, Jessenia Lisseth Becerra Montenegro, Yanfeng Cui, Wei Liu, Yahong Li, Bao-Lin Wang|2019|Chem.Asian J.|14|986|doi:10.1002/asia.201801643
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.cc1zwbkr
title: CCDC 1843525: Experimental Crystal Structure Determination

description: Related Article: Yu Ge, Yuan Huang, Jessenia Lisseth Becerra Montenegro, Yanfeng Cui, Wei Liu, Yahong Li, Bao-Lin Wang|2019|Chem.Asian J.|14|986|doi:10.1002/asia.201801643
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.2596910
title: VimSketch Dataset

description: VimSketch Dataset combines two publicly available datasets, created by the Interactive Audio Lab: Vocal Imitation Set: a collection of crowd-sourced vocal imitations of a large set of diverse sounds collected from Freesound (https://freesound.org/), which were curated based on Google's AudioSet ontology (https://research.google.com/audioset/). VocalSketch Dataset: a dataset containing thousands of vocal imitations of a large set of diverse sounds. Publications by the Interactive Audio Lab using VimSketch: [pdf] Fatemeh Pishdadian, Bongjun Kim, Prem Seetharaman, Bryan Pardo. "Classifying Non-speech Vocals: Deep vs Signal Processing Representations," Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 2019 Contact information: - Interactive Audio Lab: http://music.eecs.northwestern.edu - Bryan Pardo pardo@northwestern.edu | http://www.bryanpardo.com - Bongjun Kim bongjun@u.northwestern.edu | http://www.bongjunkim.com - Fatemeh Pishdadian fpishdadian@u.northwestern.edu | http://www.fatemehpishdadian.com
DOI: 10.5281/zenodo.2596911
title: VimSketch Dataset

description: VimSketch Dataset combines two publicly available datasets, created by the Interactive Audio Lab: Vocal Imitation Set: a collection of crowd-sourced vocal imitations of a large set of diverse sounds collected from Freesound (https://freesound.org/), which were curated based on Google's AudioSet ontology (https://research.google.com/audioset/). VocalSketch Dataset: a dataset containing thousands of vocal imitations of a large set of diverse sounds. Publications by the Interactive Audio Lab using VimSketch: [pdf] Fatemeh Pishdadian, Bongjun Kim, Prem Seetharaman, Bryan Pardo. "Classifying Non-speech Vocals: Deep vs Signal Processing Representations," Detection and Classification of Acoustic Scenes and Events Workshop (DCASE), 2019 Contact information: - Interactive Audio Lab: http://music.eecs.northwestern.edu - Bryan Pardo pardo@northwestern.edu | http://www.bryanpardo.com - Bongjun Kim bongjun@u.northwestern.edu | http://www.bongjunkim.com - Fatemeh Pishdadian fpishdadian@u.northwestern.edu | http://www.fatemehpishdadian.com
DOI: 10.5517/ccdc.csd.cc1pjbj2
title: CCDC 1564834: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc1pjbl4
title: CCDC 1564836: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc20441c
title: CCDC 1851011: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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: 10.6073/pasta/beb954928f5bd81f76bca32e8b6a946f
title: Ground Arthropod Community Survey in Grassland, Shrubland, and Woodland at the Sevilleta National Wildlife Refuge, New Mexico (1992-2004) (Reformatted to ecocomDP Design Pattern)

description: This data package is formatted according to the "ecocomDP", a data package design pattern for ecological community surveys, and data from studies of composition and biodiversity. For more information on the ecocomDP project see https://github.com/EDIorg/ecocomDP/tree/master, or contact EDI https://environmentaldatainitiative.org.

This Level 1 data package was derived from the Level 0 data package found here: https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sev&identifier=29&revision=175390

The abstract below was extracted from the Level 0 data package and is included for context:
DOI: 10.5517/ccdc.csd.cc20442d
title: CCDC 1851012: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc20443f
title: CCDC 1851013: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc20444g
title: CCDC 1851014: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc20445h
title: CCDC 1851015: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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: 10.6073/pasta/974f109b0e0e658ebb77da1c62c8f4bc
title: Stream and lake water chemistry data for Green Lakes Valley, 1998 - ongoing.

description: This is a summary of major ion concentrations for lake water at selected depths as well as for the inlets and outlets of Green Lakes 1, 4, and Lake Albion. On some occasions the same samples were also taken from other lakes in the Green Lakes Valley, such as Green Lakes 2, 3 and 5.
DOI: 10.17632/6gtg293sj8.1
title: Data for: Proximity, directional or neither of them?

description: This is a dataset based on an online survey by Laura Gallati and Nathalie Giger.
DOI: 10.7281/t1/kosygq/emoi9e
title: 2_ET and PD all data.zip

description: All eye-tracking and pupillometry measures for each participant and trial.
DOI: 10.7281/t1/kosygq/omh6na
title: 4_EEG data.zip

description: EEG data (electrodes by timepoints by trials) for each subject and condition.
DOI: 10.7281/t1/kosygq/pjxfmm
title: 3_PDtimecourse data.zip

description: Pupillometry data for each subject, condition, trial and timepoint.
DOI: 10.7281/t1/kosygq/xhyqug
title: 1_READ ME.zip

description: A readme file for the data items below.
DOI: 10.5281/zenodo.2597467
title: MSMD - Multimodal Sheet Music Dataset

description: MSMD is a synthetic dataset of 497 pieces of (classical) music that contains both audio and score representations of the pieces aligned at a fine-grained level (344,742 pairs of noteheads aligned to their audio/MIDI counterpart). It can be used for training and evaluating multimodal models that enable crossing from one modality to the other, such as retrieving sheet music using recordings or following a performance in the score image.

Please find further information and a corresponding Python package on this Github page: https://github.com/CPJKU/msmd

If you use this dataset, please cite:<br>
[1] Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer.<br>
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification (PDF).<br>
Transactions of the International Society for Music Information Retrieval, issue 1, 2018.
DOI: 10.5281/zenodo.2597468
title: MSMD - Multimodal Sheet Music Dataset

description: MSMD is a synthetic dataset of 497 pieces of (classical) music that contains both audio and score representations of the pieces aligned at a fine-grained level (344,742 pairs of noteheads aligned to their audio/MIDI counterpart). It can be used for training and evaluating multimodal models that enable crossing from one modality to the other, such as retrieving sheet music using recordings or following a performance in the score image.

Please find further information and a corresponding Python package on this Github page: https://github.com/CPJKU/msmd

If you use this dataset, please cite:<br>
[1] Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer.<br>
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification (PDF).<br>
Transactions of the International Society for Music Information Retrieval, issue 1, 2018.
DOI: 10.17632/bhmmnhtxp7.1
title: Supporting information: 1H and 13C NMR Charts

description: 1H and 13C NMR Charts
DOI: 10.5281/zenodo.2597503
title: Replication package for the paper: We Need to Talk About Microservices

description: This is a replication package for the paper "We Need to Talk About Microservices", published at the mining challenge track of MSR'19.

 

This package is composed of two files: data.zip and code.zip. On data.zip, one will find the raw and intermediate data for each and every step of our experimental methodology. On code.zip, one will find the source code we employed to perform our analysis.
DOI: 10.5281/zenodo.2597504
title: Replication package for the paper: We Need to Talk About Microservices

description: This is a replication package for the paper "We Need to Talk About Microservices", published at the mining challenge track of MSR'19.

 

This package is composed of two files: data.zip and code.zip. On data.zip, one will find the raw and intermediate data for each and every step of our experimental methodology. On code.zip, one will find the source code we employed to perform our analysis.
DOI: 10.5281/zenodo.2597640
title: Link Discovery on AIS and Contextual data sets

description: This data set contains the links discovered between AIS synopses provided in https://zenodo.org/record/2576152 and contextual data sets available at https://zenodo.org/record/2576584 . Specifically, the detected relations and the contextual data sets used are:

a) C1 ports of Brittany, World Port Index and SeaDataNet fishing ports for proximity relation "nearto", stored in AIS_nearto_ports.ttl.7z

b) C4 fishing areas (European Commission) for "within" relation stored in AIS_within_fishingAreas.ttl.7z

c) C5 fishing interdiction for "within" relation stored in AIS_within_FishingConstraints.ttl.7z

d) C5 Natura2000 for "within" relation stored in AIS_within_natura2000.ttl.7z

Please notice that the attached data sets contain only the detected links. Description of the resources is provided in the corresponding TTL files.
DOI: 10.5281/zenodo.2597641
title: Link Discovery on AIS and Contextual data sets

description: This data set contains the links discovered between AIS synopses provided in https://zenodo.org/record/2576152 and contextual data sets available at https://zenodo.org/record/2576584 . Specifically, the detected relations and the contextual data sets used are:

a) C1 ports of Brittany, World Port Index and SeaDataNet fishing ports for proximity relation "nearto", stored in AIS_nearto_ports.ttl.7z

b) C4 fishing areas (European Commission) for "within" relation stored in AIS_within_fishingAreas.ttl.7z

c) C5 fishing interdiction for "within" relation stored in AIS_within_FishingConstraints.ttl.7z

d) C5 Natura2000 for "within" relation stored in AIS_within_natura2000.ttl.7z

Please notice that the attached data sets contain only the detected links. Description of the resources is provided in the corresponding TTL files.
DOI: 10.5281/zenodo.2597290
title: Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data (Processed Data)

description: Processed data computed using R packages CytoGLMM and cytoeffect. Raw data available here.
DOI: 10.5281/zenodo.2597291
title: Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data (Processed Data)

description: Processed data computed using R packages CytoGLMM and cytoeffect. Raw data available here.
DOI: 10.17632/gkgxn82bd3.2
title: Data for: Climatic controls on peat swamp formation and evolution since 1300 yr BP as recorded by phytoliths in the Xishan Mountains, Jiangxi Province, China

description: The tables are concentrations of phytolith from the studied peat profile of Xishan Mountains, Jiangxi Province, China. 51 types of phytolith (27 types of phytolith classied to family, 24 types are unidentified) were counted under an optical microscope at a magnification of 400X. More than 400 grains were counted in each sample. The identified phytoliths are Pteridophyta, Conifers, Broad-leaved, Cyperaceae, Bambusoideae, Chloridoideae, Panicoideae, Pooideae and Oryzoideae. The unidentified morphology includes Bilobate, Polybate, Elongate castelate, Elongate smooth, Elongate coarse, Elongate echinate, Haircell, Scuitform, Lanceolate, Parallepipedal bulliform, Cuneiform bulliform, Square, Rectangule, Ovate, Conical hollow with flat top, Conical hollow with cone top, Rondel, Pyramidal, Stoma cell, Unciform, Rugose elongate, etc. Charred grains are also included here.
DOI: 10.18169/papdeott007758
title: Kabelrinne
DOI: 10.25919/5c902e2fd10df
title: Parkes observations for project P986 semester 2018OCTS_08

description: Pulsar survey is one of the top priorities of the Square Kilometer Arrays (SKA). The discovery of pulsars in relativistic binaries, pulsars in binary with black holes and pulsars in the Galactic Center (GC) will improve our understanding of gravity theories, physics of black holes and stellar population and environment in the GC region. However, conventional periodic searches for pulsars are only sensitive to strictly periodic signals with low duty cycles. Although various methods have been developed to search for pulsars in these extreme systems, it is still very challenging and computationally expensive. 

One of the solutions is to find pulsar candidates in radio continuum surveys and then carry out targeted searches (e.g. Frail et al 2017). This technique allows a search over the full field of view while avoiding the need for expensive pixel-by-pixel high time resolution searches. We propose to observe 32 compact, steep spectrum candidates selected from NVSS and TGSS surveys using the Ultra-Wideband Low (UWL) receiver. The frequency coverage (as low as 700MHz) and low system temperature (~20K) of UWL will enable us to carry out a sensitive search of steep spectrum sources.
DOI: 10.5281/zenodo.2597502
title: CW seamount

description: The data analyzed in   "Observed deep anticyclonic cap over CG"
DOI: 10.5517/ccdc.csd.cc1znkkr
title: CCDC 1837015: Experimental Crystal Structure Determination

description: Related Article: Sachin S. Ichake, Bharath Kumar Villuri, Sabbasani Rajasekhara Reddy, Veerababurao Kavala, Ching-Fa Yao|2019|Org.Lett.|21|2256|doi:10.1021/acs.orglett.9b00532
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.cc1zntbs
title: CCDC 1837256: Experimental Crystal Structure Determination

description: Related Article: Sachin S. Ichake, Bharath Kumar Villuri, Sabbasani Rajasekhara Reddy, Veerababurao Kavala, Ching-Fa Yao|2019|Org.Lett.|21|2256|doi:10.1021/acs.orglett.9b00532
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.2597501
title: CW seamount

description: The data analyzed in   "Observed deep anticyclonic cap over CG"
DOI: 10.5517/ccdc.csd.cc1pjbbw
title: CCDC 1564828: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc1pjbcx
title: CCDC 1564829: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc1pjbdy
title: CCDC 1564830: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc1pjbfz
title: CCDC 1564831: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.cc1pjbg0
title: CCDC 1564832: Experimental Crystal Structure Determination

description: Related Article: Mahendra Kumar Sharma, Soumen Sinhababu, Pritam Mahawar, Goutam Mukherjee, Bhawana Pandey, Gopalan Rajaraman, Selvarajan Nagendran|2019|Chemical Science|10|4402|doi:10.1039/C8SC05380D
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.