cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc20641f
title: CCDC 1852933: Experimental Crystal Structure Determination

description: Related Article: Monica Clements, Margaret Blackie, Carmen de Kock, Nina Lawrence, Peter Smith, Tanya le Roex|2019|Cryst.Growth Des.|19|1540|doi:10.1021/acs.cgd.8b01049
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.cc20ks4j
title: CCDC 1864127: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Xi-Shang Sun, Chao Che, Yuan-Zheng Hu, Hai-Yan Tao, Chun-Jiang Wang|2019|Org.Lett.|21|1191|doi:10.1021/acs.orglett.9b00136
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.cc20ks5k
title: CCDC 1864128: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Xi-Shang Sun, Chao Che, Yuan-Zheng Hu, Hai-Yan Tao, Chun-Jiang Wang|2019|Org.Lett.|21|1191|doi:10.1021/acs.orglett.9b00136
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.cc20mcwx
title: CCDC 1865669: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Xi-Shang Sun, Chao Che, Yuan-Zheng Hu, Hai-Yan Tao, Chun-Jiang Wang|2019|Org.Lett.|21|1191|doi:10.1021/acs.orglett.9b00136
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.cc20phgp
title: CCDC 1867702: Experimental Crystal Structure Determination

description: Related Article: Xin Chang, Xi-Shang Sun, Chao Che, Yuan-Zheng Hu, Hai-Yan Tao, Chun-Jiang Wang|2019|Org.Lett.|21|1191|doi:10.1021/acs.orglett.9b00136
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.cc20sqbw
title: CCDC 1870798: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Yadav, Rajesh Deka, Saravanan Raju, Harkesh B. Singh|2019|Inorg.Chim.Acta|488|269|doi:10.1016/j.ica.2019.01.024
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.cc20sqcx
title: CCDC 1870799: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Yadav, Rajesh Deka, Saravanan Raju, Harkesh B. Singh|2019|Inorg.Chim.Acta|488|269|doi:10.1016/j.ica.2019.01.024
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.cc20sqdy
title: CCDC 1870800: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Yadav, Rajesh Deka, Saravanan Raju, Harkesh B. Singh|2019|Inorg.Chim.Acta|488|269|doi:10.1016/j.ica.2019.01.024
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.2555650
title: Annotations of sapSuaA1 genome assembly

description: Annotations accompanying paper "Genome Sequence of Flavor-Producing Yeast Saprochaete suaveolens NRRL Y-17571"
DOI: 10.5281/zenodo.2555651
title: Annotations of sapSuaA1 genome assembly

description: Annotations accompanying paper "Genome Sequence of Flavor-Producing Yeast Saprochaete suaveolens NRRL Y-17571"
DOI: 10.5281/zenodo.2555994
title: Binary black-hole simulation SXS:BBH:1477

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555995
title: Binary black-hole simulation SXS:BBH:1477

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc20sqfz
title: CCDC 1870801: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Yadav, Rajesh Deka, Saravanan Raju, Harkesh B. Singh|2019|Inorg.Chim.Acta|488|269|doi:10.1016/j.ica.2019.01.024
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.cc20sqg0
title: CCDC 1870802: Experimental Crystal Structure Determination

description: Related Article: Sangeeta Yadav, Rajesh Deka, Saravanan Raju, Harkesh B. Singh|2019|Inorg.Chim.Acta|488|269|doi:10.1016/j.ica.2019.01.024
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.cc1k7t4r
title: CCDC 1437474: Experimental Crystal Structure Determination

description: Related Article: Dian Zhao, Dan Yue, Ke Jiang, Ling Zhang, Chunxia Li, Guodong Qian|2019|Inorg.Chem.|58|2637|doi:10.1021/acs.inorgchem.8b03225
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.cc21lwh1
title: CCDC 1894983: Experimental Crystal Structure Determination

description: Related Article: D. Sai Reddy, Andrei G. Kutateladze|2019|Org.Lett.|21|2855|doi:10.1021/acs.orglett.9b00858
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.cc21lwj2
title: CCDC 1894984: Experimental Crystal Structure Determination

description: Related Article: D. Sai Reddy, Andrei G. Kutateladze|2019|Org.Lett.|21|2855|doi:10.1021/acs.orglett.9b00858
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.cc21lwk3
title: CCDC 1894985: Experimental Crystal Structure Determination

description: Related Article: D. Sai Reddy, Andrei G. Kutateladze|2019|Org.Lett.|21|2855|doi:10.1021/acs.orglett.9b00858
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: 10.7303/syn12179110.1
title: ADMC Duke ADNI2.GO Drug Classes
DOI: 10.5066/f7mk6bcd
title: Inventory of well-construction data, water-quality and quality control data, statistical data, and geochemical modeling data for wells in Atlantic and Gulf Coastal Plain aquifers, eastern United States, 2012 and 2013

description: This dataset provides analytical and other data in support of an analysis of lead and manganese in untreated drinking water from Atlantic and Gulf Coastal Plain aquifers, eastern United States. The occurrence of dissolved lead and manganese in sampled groundwater, prior to its distribution or treatment, is related to the potential presence of source minerals and specific environmental factors including hydrologic position along the flow path, water-rock interactions, and associated geochemical conditions such as pH and dissolved oxygen (DO) concentrations. A DO/pH framework is proposed as a screening tool for evaluating risk of elevated lead or manganese, based on the occurrence of elevated lead and manganese concentrations and the corresponding distributions of DO and pH in 258 wells screened in the Atlantic and Gulf Coastal Plain aquifers. Included in this data release are the Supplementary Information Tables that also accompany the Applied Geochemistry journal article: Table of details on construction and hydrologic position of wells (percent distance from outcrop and percent depth to well centroid) sampled in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. Table of general chemical characteristic and concentrations of major and trace elements and calculated parameters for groundwater samples from wells in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. Table of mineral saturation indices (SI) and partial pressures of CO2 (PCO2 ) and O2 (PO2) computed with PHREEQC (Parkhurst and Appelo, 2013) for 258 groundwater samples from wells in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. Table of spearman's rank correlation coefficient (r) matrix of principal components (PC1-PC6) and chemical data for 258 groundwater samples from wells in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. Table of results of blank analysis for major and trace elements analyzed for 258 groundwater samples from wells in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. Table of criteria and threshold concentrations for identifying redox processes in groundwater (after McMahon and Chapelle, 2008). Table of principal components analysis model of major factors affecting the chemistry of groundwater samples from wells in Atlantic and Gulf Coastal Plain aquifers, 2012 and 2013. References: Parkhurst, D.L., and Appelo, C.A.J., 2013, Description of input and examples for PHREEQC version 3-A computer program for speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations: U.S. Geological Survey Techniques and Methods, book 6, chap. A43, 497 p., http://pubs.usgs.gov/tm/06/a43. McMahon, P.B., and Chapelle, F.H., 2008, Redox processes and water quality of selected principal aquifer systems: Ground Water, v. 46, p. 259-271, doi:10.1111/j.1745-6584.2007.00385.x.
DOI: 10.5281/zenodo.2556013
title: Binary black-hole simulation SXS:BBH:1478

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556014
title: Binary black-hole simulation SXS:BBH:1478

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555654
title: Binary black-hole simulation SXS:BBH:1452

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555655
title: Binary black-hole simulation SXS:BBH:1452

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555107
title: Screw and hole detection output results dataset in an autonomous screwing operation

description: This dataset contains a set of csv files containing the results of a screwing and hole detection developed for a screwing mobile robot. It also contains a set of images representing the inputs, the outputs and some relevant images in the hole detection algorithm.

Thee different scenarios were built, and a total of 25 missions were executed in order to build the datasets presented in appendix 5.7. The first scenario (missions 1 to 15), represents a normal operation procedure, meaning, a screwing 6 hole screwing and 5 screws refilling. The second scenario (missions 16 to 20), represents an operation with an exception handling during the refill (the second, third and fourth screws are missing in the refill support). Lastly, the third scenario (missions 21 to 25) has another exception handling, this time on both hole and screw detections (the third, fourth and fifth holes are already screwed, and the screwdriver trigger is not pressed, so the screw is not tightened resulting in a screw detecting after the refilling phase.

Also three different group of csv files can be found:


	<em>hole_detection_mission_xx.csv</em><sup><em><sup>1</sup></em></sup>: contains the hole detection result (detected or non detected) and the located hole coordinates (u,v), in pixels;
	
	<em>detect_screw_screwing_result_mission_xx</em>.csv: contains the screw detection result performed after a screwing to detect if the screw was screwed successfully. 1 means the screwing was ok (there is no screw on the screwdriver), 0 means the screwing was not ok (there was a screw on the screwdriver);
	
	
	<em>detect_screw_refill_mission_xx</em>.csv: contains the screw detection result performed after a refill attempt, to check if there was any screw missing in the refill support. 0 means that no screw was missing on the refill support (there was a screw on the screwdriver), 1 means there was a screw missing on the support (there was no screw on the screwdriver).
	


The <em>mission_xx</em> suffix represents which mission file (rosbag) the mission was acquired in and, each csv file contains the timestamp in which it happens.

1 xx represents the mission number
DOI: 10.5281/zenodo.2555108
title: Screw and hole detection output results dataset in an autonomous screwing operation

description: This dataset contains a set of csv files containing the results of a screwing and hole detection developed for a screwing mobile robot.

Thee different scenarios were built, and a total of 25 missions were executed in order to build the datasets presented in appendix 5.7. The first scenario (missions 1 to 15), represents a normal operation procedure, meaning, a screwing 6 hole screwing and 5 screws refilling. The second scenario (missions 16 to 20), represents an operation with an exception handling during the refill (the second, third and fourth screws are missing in the refill support). Lastly, the third scenario (missions 21 to 25) has another exception handling, this time on both hole and screw detections (the third, fourth and fifth holes are already screwed, and the screwdriver trigger is not pressed, so the screw is not tightened resulting in a screw detecting after the refilling phase.

Also three different group of csv files can be found:


	<em>hole_detection_mission_xx.csv</em><sup><em><sup>1</sup></em></sup>: contains the hole detection result (detected or non detected) and the located hole coordinates (u,v), in pixels;
	
	<em>detect_screw_screwing_result_mission_xx</em>.csv: contains the screw detection result performed after a screwing to detect if the screw was screwed successfully. 1 means the screwing was ok (there is no screw on the screwdriver), 0 means the screwing was not ok (there was a screw on the screwdriver);
	
	
	<em>detect_screw_refill_mission_xx</em>.csv: contains the screw detection result performed after a refill attempt, to check if there was any screw missing in the refill support. 0 means that no screw was missing on the refill support (there was a screw on the screwdriver), 1 means there was a screw missing on the support (there was no screw on the screwdriver).
	


The <em>mission_xx</em> suffix represents which mission file (rosbag) the mission was acquired in and, each csv file contains the timestamp in which it happens.

1 xx represents the mission number
DOI: 10.5281/zenodo.2555672
title: Open Apostolic Fathers

description: Initial release of corrected Lake text.
DOI: 10.5281/zenodo.2555673
title: Open Apostolic Fathers

description: Initial release of corrected Lake text.
DOI: 10.5281/zenodo.2556031
title: Binary black-hole simulation SXS:BBH:1479

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556032
title: Binary black-hole simulation SXS:BBH:1479

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555668
title: Binary black-hole simulation SXS:BBH:1453

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555669
title: Binary black-hole simulation SXS:BBH:1453

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556049
title: Binary black-hole simulation SXS:BBH:1480

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556050
title: Binary black-hole simulation SXS:BBH:1480

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556053
title: Binary black-hole simulation SXS:BBH:1481

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556054
title: Binary black-hole simulation SXS:BBH:1481

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.598128
title: MorphGNT: SBLGNT Edition Version 6.12

description: more norm field fixes for enclitics
	changed gender of last τις in Php 2.1 following other analyses
DOI: 10.5281/zenodo.2556057
title: Binary black-hole simulation SXS:BBH:1482

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556058
title: Binary black-hole simulation SXS:BBH:1482

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556064
title: Binary black-hole simulation SXS:BBH:1483

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556065
title: Binary black-hole simulation SXS:BBH:1483

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15156/bio/sh1336260.08fu
title: SH1336260.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2015352.08fu
title: SH2015352.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2015353.08fu
title: SH2015353.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.