cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/75962356-4669-403c-843a-c3566d5c149b
title: Baynes Sound Oxygen Sensor Deployed 2022-08-03

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 632517 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/3c1bb519-5fe2-44ae-9847-3b0e49eee578
title: Baynes Sound Carbon Dioxide Sensor Deployed 2022-08-03

description: The Pro-Oceanus CO2-Pro CV (SN 40-717-75) was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/7bc88261-b596-480c-bbd6-b48c14af9aaa
title: Baynes Sound Carbon Dioxide Sensor Deployed 2022-08-03

description: The Pro-Oceanus CO2-Pro CV (SN 40-718-75) was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/5f161ac1-941b-4d9b-9144-ba15757c71e5
title: Baynes Sound pH Sensor Deployed 2022-08-03

description: The Sea-Bird SeaFET V2 pH (SN 2144) was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a pH Sensor. pH sensors measure the acidity, or alkalinity, of sea water by the concentration of hydrogen ions in the water column. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/0a1579e6-f715-4c7b-bdc5-34917695a662
title: Baynes Sound Conductivity Temperature Depth Deployed 2022-08-03

description: The Sea-Bird SeaCAT SBE19plus V2 4998 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/9caad1f8-6028-49e6-a995-aac62f30a497
title: Baynes Sound Conductivity Temperature Depth Deployed 2022-08-03

description: The Sea-Bird SeaCAT SBE19plus V2 5047 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/5bba43bb-dec5-4fdb-a86a-b5d9a9ef6cb1
title: Baynes Sound Conductivity Temperature Depth Deployed 2022-08-03

description: The Sea-Bird SeaCAT SBE19plus V2 5270 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Conductivity Temperature Depth. Conductivity Temperature Depth (CTD) is an instrument package that contains sensors for measuring the conductivity, temperature, and pressure of seawater. Salinity, sound velocity, depth and density are variables that can be derived from sensor measurements. CTDs can carry additional instruments and sensors such as oxygen sensors, turbidity sensors and fluorometers. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b1eed5b4-ea99-4d9c-a851-4243ba8a1136
title: Baynes Sound Carbon Dioxide Sensor Deployed 2022-08-03

description: The Pro-Oceanus CO2-Pro CV (SN 36-321-75) was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Carbon Dioxide Sensor. Carbon Dioxide sensors monitor CO2 levels in the ocean. CO2 sensors measure the partial pressure, or the concentration of dissolved CO2 in seawater by a variety of techniques. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/fd8bb995-7169-44db-90aa-12b188794e2d
title: Baynes Sound Junction Box Deployed 2022-08-03

description: The Signal Combiner Unit V2 08 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.17121272.v1
title: GAANet

description: The codes that support the findings of this study
DOI: 10.34943/c54834e3-b3e5-4da5-a03d-066f14b9bb84
title: Baynes Sound Junction Box Deployed 2022-08-03

description: The Signal Combiner Unit V2 09 was deployed on 2022-08-03 at Baynes Sound. Baynes Sound is located between Denman Island and Vancouver Island. This device is a Junction Box. Junction Boxes supply power and communications to deployed instruments. Junction boxes have a number of serial and ethernet ports, including 400V ethernet ports that enable connections to other junction boxes and high-voltage instruments. Junction boxes can convert high voltages to lower voltages (15V, 24V or 48V) required by many instruments. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.17121272.v2
title: A geometry-aware attention network for semantic segmentation of MLS point clouds

description: The codes that support the findings of manuscript entitled "A geometry-aware attention network for semantic segmentation of MLS point clouds".
DOI: 10.5281/zenodo.6955070
title: EM-CCD noise image sequence

description: Using a custom code written in R, an image series of EM-CCD sensor noise was simulated, based on the equations and theory provided by Hirsch and collaborators [1]. 1. M. Hirsch, R. J. Wareham, M. L. Martin-Fernandez, M. P. Hobson, and D. J. Rolfe, “A stochastic model for electron multiplication charge-coupled devices – from theory to practice,” PLOS ONE 8, 1–13 (2013).
description: {"references": ["Esley Garc\u00eda, Ra\u00fal C\u00e1mara, Alejandro Linares et al. Nanoscopic resolution within a single imaging frame, 29 October 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-984659/v1]", "M. Hirsch, R. J. Wareham, M. L. Martin-Fernandez, M. P. Hobson, and D. J. Rolfe, \"A stochastic model for electron multiplication charge-coupled devices \u2013 from theory to practice,\" PLOS ONE 8, 1\u201313 (2013)."]}
DOI: 10.5281/zenodo.6837106
title: EM-CCD noise image sequence

description: Using a custom code written in R, an image series of EM-CCD sensor noise was simulated, based on the equations and theory provided by Hirsch and collaborators [1]. 1. M. Hirsch, R. J. Wareham, M. L. Martin-Fernandez, M. P. Hobson, and D. J. Rolfe, “A stochastic model for electron multiplication charge-coupled devices – from theory to practice,” PLOS ONE 8, 1–13 (2013).
description: {"references": ["Esley Garc\u00eda, Ra\u00fal C\u00e1mara, Alejandro Linares et al. Nanoscopic resolution within a single imaging frame, 29 October 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-984659/v1]", "M. Hirsch, R. J. Wareham, M. L. Martin-Fernandez, M. P. Hobson, and D. J. Rolfe, \"A stochastic model for electron multiplication charge-coupled devices \u2013 from theory to practice,\" PLOS ONE 8, 1\u201313 (2013)."]}
DOI: 10.6084/m9.figshare.17707065
title: Rapid establishment of a dedicated COVID-19 hospital in Mexico city during a public health crisis

description: Healthcare systems worldwide have adapted and reorganized during the coronavirus disease 2019 (COVID-19) pandemic. Here, we provide a framework based on a public–private partnership that funded, developed, and operated a temporary COVID-19 hospital in Mexico City. We describe the creation of a collaborative network of primary healthcare triage centers and hospitals distributed throughout the city in recognition of demographic and geographic patterns that correlate with COVID-19 infections, including marginalized and impoverished areas of Mexico City. Additionally, we also report the hospital’s cumulative outcomes over the 14 months of operation and show that it is feasible to transform a large public venue into a specialized hospital that incorporates a digital platform with robust clinical protocols to provide positive clinical outcomes. During Mexico’s response to the COVID-19 pandemic, the Carlos Slim Foundation (CSF), with a group of local foundations, academic institutions, and the Government of Mexico City, established a synergistic public–private partnership with the purpose of funding, designing, developing, and operating a dedicated COVID-19 hospital. This was achieved in 17 days by rapidly transforming into a hospital the largest convention center in Latin America, which is located in the heart of Mexico City. An ex professo network of eight dedicated respiratory triage community centers in coordination with other 40 federal and state primary health care clinics and hospitals was also established to streamline patient referral, thereby mitigating the impact of the COVID-19 pandemic in Mexico City’s metropolitan area. We provide a framework for designing, funding, and executing the operations of a dedicated hospital in response to the COVID-19 pandemic that, from its conception, execution, operation, and closure, involved an exemplary coordination between public-private partnerships during a public health crisis. Referral, admission, treatment, clinical monitoring, discharge, and household follow-up were facilitated by the COVID360 digital health platform. The successful development and implementation of this multi-faceted digital platform allowed a lean patient-centered process, the management of clinical and administrative data, training of healthcare professionals, and the dissemination of accurate health information for data-driven decision making. This rapidly implemented temporary hospital dedicated to the comprehensive care of patients with COVID-19 was critical in coping with the increasing number of cases in Mexico City while achieving outstanding clinical outcomes.
DOI: 10.6084/m9.figshare.17707065.v1
title: Rapid establishment of a dedicated COVID-19 hospital in Mexico city during a public health crisis

description: Healthcare systems worldwide have adapted and reorganized during the coronavirus disease 2019 (COVID-19) pandemic. Here, we provide a framework based on a public–private partnership that funded, developed, and operated a temporary COVID-19 hospital in Mexico City. We describe the creation of a collaborative network of primary healthcare triage centers and hospitals distributed throughout the city in recognition of demographic and geographic patterns that correlate with COVID-19 infections, including marginalized and impoverished areas of Mexico City. Additionally, we also report the hospital’s cumulative outcomes over the 14 months of operation and show that it is feasible to transform a large public venue into a specialized hospital that incorporates a digital platform with robust clinical protocols to provide positive clinical outcomes. During Mexico’s response to the COVID-19 pandemic, the Carlos Slim Foundation (CSF), with a group of local foundations, academic institutions, and the Government of Mexico City, established a synergistic public–private partnership with the purpose of funding, designing, developing, and operating a dedicated COVID-19 hospital. This was achieved in 17 days by rapidly transforming into a hospital the largest convention center in Latin America, which is located in the heart of Mexico City. An ex professo network of eight dedicated respiratory triage community centers in coordination with other 40 federal and state primary health care clinics and hospitals was also established to streamline patient referral, thereby mitigating the impact of the COVID-19 pandemic in Mexico City’s metropolitan area. We provide a framework for designing, funding, and executing the operations of a dedicated hospital in response to the COVID-19 pandemic that, from its conception, execution, operation, and closure, involved an exemplary coordination between public-private partnerships during a public health crisis. Referral, admission, treatment, clinical monitoring, discharge, and household follow-up were facilitated by the COVID360 digital health platform. The successful development and implementation of this multi-faceted digital platform allowed a lean patient-centered process, the management of clinical and administrative data, training of healthcare professionals, and the dissemination of accurate health information for data-driven decision making. This rapidly implemented temporary hospital dedicated to the comprehensive care of patients with COVID-19 was critical in coping with the increasing number of cases in Mexico City while achieving outstanding clinical outcomes.
DOI: 10.5517/ccdc.csd.cc237jmj
title: CCDC 1943657: Experimental Crystal Structure Determination

description: Related Article: Xiuze Hei, Kun Zhu, Gia Carignan, Simon J. Teat, Mingxing Li, Guoyu Zhang, Megan Bonite, Jing Li|2022|J.Solid State Chem.|314|123427|doi:10.1016/j.jssc.2022.123427
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.cc289y1l
title: CCDC 2094919: Experimental Crystal Structure Determination

description: Related Article: Ana Da Lama, José Pérez Sestelo, Laura Valencia, David Esteban-Gómez, Luis A. Sarandeses, M. Montserrat Martínez|2022|Dyes Pigm.|205|110539|doi:10.1016/j.dyepig.2022.110539
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.cc2b81g4
title: CCDC 2152685: Experimental Crystal Structure Determination

description: Related Article: You-Yu Wang, Li Song, Shi-Yue Tang, Ze-Qi Dai, Jia-Yu Guo, Hang-Yan Shen, Wen-Xiang Chai|2022|Materials Today Comm.|32|104054|doi:10.1016/j.mtcomm.2022.104054
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.cc2bhr0m
title: CCDC 2160080: Experimental Crystal Structure Determination

description: Related Article: Francesco Caruso, Gottumukkala V. Subbaraju, Modukuri V. Ramani, Marzia Gariboldi, Emanuela Marras, Carmen Kloer, Aron Sulovari, Sarjit Kaur, Miriam Rossi|2022|Inorg.Chim.Acta|542|121099|doi:10.1016/j.ica.2022.121099
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.cc2bhr1n
title: CCDC 2160081: Experimental Crystal Structure Determination

description: Related Article: Francesco Caruso, Gottumukkala V. Subbaraju, Modukuri V. Ramani, Marzia Gariboldi, Emanuela Marras, Carmen Kloer, Aron Sulovari, Sarjit Kaur, Miriam Rossi|2022|Inorg.Chim.Acta|542|121099|doi:10.1016/j.ica.2022.121099
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.cc2bhr3q
title: CCDC 2160083: Experimental Crystal Structure Determination

description: Related Article: Francesco Caruso, Gottumukkala V. Subbaraju, Modukuri V. Ramani, Marzia Gariboldi, Emanuela Marras, Carmen Kloer, Aron Sulovari, Sarjit Kaur, Miriam Rossi|2022|Inorg.Chim.Acta|542|121099|doi:10.1016/j.ica.2022.121099
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.cc2bhr4r
title: CCDC 2160084: Experimental Crystal Structure Determination

description: Related Article: Francesco Caruso, Gottumukkala V. Subbaraju, Modukuri V. Ramani, Marzia Gariboldi, Emanuela Marras, Carmen Kloer, Aron Sulovari, Sarjit Kaur, Miriam Rossi|2022|Inorg.Chim.Acta|542|121099|doi:10.1016/j.ica.2022.121099
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.cc1m98x3
title: CCDC 1498475: Experimental Crystal Structure Determination

description: Related Article: Xiuze Hei, Kun Zhu, Gia Carignan, Simon J. Teat, Mingxing Li, Guoyu Zhang, Megan Bonite, Jing Li|2022|J.Solid State Chem.|314|123427|doi:10.1016/j.jssc.2022.123427
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.cc2bktwm
title: CCDC 2162091: Experimental Crystal Structure Determination

description: Related Article: Mario Saletti, Samuele Maramai, Annalisa Reale, Marco Paolino, Simone Brogi, Angela Di Capua, Andrea Cappelli, Gianluca Giorgi, Danilo D'Avino, Antonietta Rossi, Carla Ghelardini, Lorenzo Di Cesare Mannelli, Roccaldo Sardella, Andrea Carotti, Gerald Woelkart, Burkhard Klösch, Chiara Bigogno, Giulio Dondio, Maurizio Anzini|2022|Eur.J.Med.Chem.|241|114615|doi:10.1016/j.ejmech.2022.114615
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.cc2brjd1
title: CCDC 2167563: Experimental Crystal Structure Determination

description: Related Article: Xiuze Hei, Kun Zhu, Gia Carignan, Simon J. Teat, Mingxing Li, Guoyu Zhang, Megan Bonite, Jing Li|2022|J.Solid State Chem.|314|123427|doi:10.1016/j.jssc.2022.123427
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.cc2bvs66
title: CCDC 2170688: Experimental Crystal Structure Determination

description: Related Article: Liviu Săcărescu, Mihaela Dascălu, Andreea-Laura Chibac-Scutaru, Gheorghe Roman|2022|J.Photochem.Photobiol.A:Chem.|433|114160|doi:10.1016/j.jphotochem.2022.114160
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.