cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/15233cc4-d525-4a3a-ab5b-ed34b3316775
title: Horseshoe Bay - Departure Bay Ferry Route Thermosalinograph Deployed 2022-06-23

description: The Sea-Bird Thermosalinograph SeaKeeper (SN 0022) was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Thermosalinograph. Thermosalinographs collect data from the sea surface via flow-through systems on vessels. Typically they are mounted near the front of the vessel in order to minimize contamination. Primary variables measured are temperature and conductivity, and other variables like salinity and density are derived. It was deployed on a mobile 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/d33f71fd-e6d5-496a-b3d9-4d4a7596364e
title: Horseshoe Bay - Departure Bay Ferry Route Turbidity, Chlorophyll and Fluorescence Deployed 2022-06-23

description: The WET Labs ECO Triplet BBFL2 786 was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Turbidity, Chlorophyll and Fluorescence. Turbidity, chlorophyll and fluorescence instruments detect light scattered by particles suspended in water, generating an output voltage proportional to turbidity or suspended solids. Scaling factors are used to convert the voltage readings to values representing chlorophyll concentration and turbidity. It was deployed on a mobile 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/d7750476-3689-4b42-a186-68d2ca796f20
title: Horseshoe Bay - Departure Bay Ferry Route Pyranometer Deployed 2022-06-23

description: The Kipp and Zonen Pyranometer CMP-21L 150607 was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Pyranometer. Meteorological radiometers measure electromagnetic radiation in the atmosphere. Pyranometers measure broadband solar irradiance on a plane surface. It was deployed on a mobile 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/ff1aa270-c21b-4e44-8cea-3372e2700668
title: Horseshoe Bay - Departure Bay Ferry Route Pyrgeometer Deployed 2022-06-23

description: The Kipp and Zonen Pyrgeometer CGR-3L 160216 was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Pyrgeometer. Meteorological radiometers measure electromagnetic radiation in the atmosphere. Pyrgeometers which measure infrared (IR) radiation. It was deployed on a mobile 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: 10.34943/048a3abe-fc87-4c9a-9a34-8056d760294a
title: Horseshoe Bay - Departure Bay Ferry Route Carbon Dioxide Sensor Deployed 2022-06-23

description: The Pro-Oceanus CO2-Pro FT (SN 36-325-81) was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. 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 mobile 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: 10.34943/0f8be140-0078-4bd1-95fa-64c8f180a8d7
title: Horseshoe Bay - Departure Bay Ferry Route Navigation System Deployed 2022-06-23

description: The Hemisphere GNSS MV104S GPS Compass (SN C1436-00182-02-308) was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Navigation System. Navigational instruments are used to measure and record positional information of ships, buoys, and autonomous underwater vehicles (AUVs). Typical sensors include latitude, longitude, speed, heading, pitch, roll, and depth. It was deployed on a mobile 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: 10.5281/zenodo.4094665
title: Confocal Raman spectroscopy data from native and polyethylene glycol-containing wood

description: Confocal Raman mapping data from native pine wood and pine wood with polyethylene glycol (PEG) of three different molecular weights in deuterated water. The spectroscopic data consists of 4 text files, each of which contains in total 1600 2D arrays of Raman intensity corresponding to different wavenumber values. Each of these 2D arrays consists of 175 rows with 175 comma-separated values on each row. The 2D arrays corresponding to different wavenumbers are separated by a line starting with '#' and specifying the wavenumber of the subsequent 2D array (unit inverse cm). The wavenumber axis is also given in a separate file. The image size is 45 µm x 45 µm (175 x 175 pixels) and the wavenumber axis consists of 1600 points. For further details on the samples and data collection, see the following reference:<br> Paavo A. Penttilä, Michael Altgen, Muhammad Awais, Monika Österberg, Lauri Rautkari, & Ralf Schweins. Bundling of cellulose microfibrils in native and polyethylene glycol-containing wood cell walls revealed by small-angle neutron scattering. <em>Scientific Reports</em> <strong>10, </strong>20844 (2020). https://doi.org/10.1038/s41598-020-77755-y
DOI: 10.5281/zenodo.4094664
title: Confocal Raman spectroscopy data from native and polyethylene glycol-containing wood

description: Confocal Raman mapping data from native pine wood and pine wood with polyethylene glycol (PEG) of three different molecular weights in deuterated water. The spectroscopic data consists of 4 text files, each of which contains in total 1600 2D arrays of Raman intensity corresponding to different wavenumber values. Each of these 2D arrays consists of 175 rows with 175 comma-separated values on each row. The 2D arrays corresponding to different wavenumbers are separated by a line starting with '#' and specifying the wavenumber of the subsequent 2D array (unit inverse cm). The wavenumber axis is also given in a separate file. The image size is 45 µm x 45 µm (175 x 175 pixels) and the wavenumber axis consists of 1600 points. For further details on the samples and data collection, see the following reference:<br> Paavo A. Penttilä, Michael Altgen, Muhammad Awais, Monika Österberg, Lauri Rautkari, & Ralf Schweins. Bundling of cellulose microfibrils in native and polyethylene glycol-containing wood cell walls revealed by small-angle neutron scattering. <em>Scientific Reports</em> <strong>10, </strong>20844 (2020). https://doi.org/10.1038/s41598-020-77755-y
DOI: 10.5281/zenodo.6770395
title: Data set - The design and evaluation of an integrated training load and injury/illness surveillance system in competitive swimming.

description: Dataset for paper as per title above.
DOI: 10.5281/zenodo.6770394
title: Data set - The design and evaluation of an integrated training load and injury/illness surveillance system in competitive swimming.

description: Dataset for paper as per title above.
DOI: 10.34943/d73ab657-529c-4d48-8be2-d559033e3345
title: Telegraph Cove Precise Point Positioning - Float Deployed 2022-03-22

description: The Precise Point Positioning Float AR 22 was deployed on 2022-03-22 at Telegraph Cove. Telegraph Cove is situated in a sheltered inlet at the northern end of Johnstone Strait, across from the Broughton Archipelago, on the northern coast of Vancouver Island in British Columbia, Canada. This device is a Precise Point Positioning - Float. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning (EEW) installations. Within these processors, specially designed filters are applied to Global Navigation Satellite System and accelerometer input data. The processors output supports epicentre location and magnitude estimates for the larger earthquake detection system. This category corresponds to the floating point ambiguity resolution (AR) stream. 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: 10.34943/7030c7e8-c392-4338-b3ba-81df0c4575da
title: Telegraph Cove Precise Point Positioning - Integer Deployed 2022-03-22

description: The Precise Point Positioning Int AR 22 was deployed on 2022-03-22 at Telegraph Cove. Telegraph Cove is situated in a sheltered inlet at the northern end of Johnstone Strait, across from the Broughton Archipelago, on the northern coast of Vancouver Island in British Columbia, Canada. This device is a Precise Point Positioning - Integer. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning installations. These processors apply specially designed filters to Global Navigation Satellite System and accelerometer input data. Its output serves the larger earthquake detection system. This category corresponds to the integer ambiguity resolution (INT) stream. 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: 10.34943/22ee77cb-6d21-4eb8-8bda-a9e1a721a47f
title: Telegraph Cove Precise Point Positioning - Orbits Deployed 2022-03-22

description: The Precise Point Positioning Orbits 22 was deployed on 2022-03-22 at Telegraph Cove. Telegraph Cove is situated in a sheltered inlet at the northern end of Johnstone Strait, across from the Broughton Archipelago, on the northern coast of Vancouver Island in British Columbia, Canada. This device is a Precise Point Positioning - Orbits. These precise point positioning processors are modules as part of an aggregate systems for the Earthquake Early Warning (EEW) installations. These processors apply specially designed filters to Global Navigation Satellite System and accelerometer input data. Its output serves the larger earthquake detection system. This category corresponds to the broadband orbits (ORB) stream. 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/d9a2e0d6-cd00-45ff-a453-fec16c352591
title: Horseshoe Bay - Departure Bay Ferry Route Pump and Valve Control System Deployed 2022-06-23

description: The Pump and Valve Control System 02 was deployed on 2022-06-23 on Horseshoe Bay - Departure Bay Ferry Route. This ferry route goes between Horseshoe Bay terminal in West Vancouver, BC and the Departure Bay terminal, Nanaimo BC. This device is a Pump and Valve Control System. The Pump and Valve Control System (PVCS) is developed by Ocean Networks Canada. It monitors the operation of a pump and a set of valves while providing feedback using various sensors. It was deployed on a mobile 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: 10.5517/ccdc.csd.cc226j50
title: CCDC 1912891: Experimental Crystal Structure Determination

description: Related Article: Chuanbin Fan, Lulu Wang, Cungang Xu, Jinmiao Wang, Bin Zhu, Wenbo Liu, Xia Zhang, Ziao Zong, Yuhua Fan|2021|Cryst.Growth Des.|21|4305|doi:10.1021/acs.cgd.0c01724
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: 10.5285/b54d5f1c08594879a05929ce09951c56
title: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3B, level 3 collated (L3C) global product (2018-2020), version 3.00

description: This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3B. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel 3B equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRB achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. Dataset coverage runs from December 2018 to December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.
DOI: 10.5285/32d7bc64c7b740e9ad7a43589ab91592
title: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Terra, level 3 collated (L3C) global product (2000-2018), version 3.00

description: This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Terra (Terra). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the morning and evening Terra equator crossing times which are 10:30 and 22:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. The monthly dataset starts from March 2000 and ends December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.
DOI: 10.5285/fe98aa1c666d42b9a2a0d19a72bb8a36
title: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from MODIS (Moderate resolution Infra-red Spectroradiometer) on Aqua, level 3 collated (L3C) global product (2002-2018), version 3.00

description: This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Moderate Resolution Imaging Spectroradiometer (MODIS) on Earth Observing System – Aqua (Aqua). Satellite land surface temperatures are skin temperatures which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the daytime and night-time Aqua equator crossing times which are 13:30 and 01:30 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. MODIS achieves full Earth coverage nearly twice per day so the daily files have small gaps primarily close to the equator where the surface is not covered by the satellite swath on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. Dataset coverage starts on 4th July 2002 and ends on 31st December 2018. There are minor interruptions (1-2 days) during satellite/instrument maintenance periods. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using a generalised split window retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.
DOI: 10.5285/aa8268e2ca0e48d98aee372795722253
title: ESA Land Surface Temperature Climate Change Initiative (LST_cci): Monthly land surface temperature from SLSTR (Sea and Land Surface Temperature Radiometer) on Sentinel 3A, level 3 collated (L3C) global product (2016-2020), version 3.00

description: This dataset contains monthly-averaged land surface temperatures (LSTs) and their uncertainty estimates from the Sea and Land Surface Temperature Radiometer (SLSTR) on Sentinel 3A. Satellite land surface temperatures are skin temperatures, which means, for example, the temperature of the ground surface in bare soil areas, the temperature of the canopy over forests, and a mix of the soil and leaf temperature over sparse vegetation. The skin temperature is an important variable when considering surface fluxes of, for instance, heat and water. Daytime and night-time temperatures are provided in separate files corresponding to the morning and evening Sentinel-3A equator crossing times which are 10:00 and 22:00 local solar time. Per pixel uncertainty estimates are given in two forms, first, an estimate of the total uncertainty for the pixel and second, a breakdown of the uncertainty into components by correlation length. Also provided in the files, on a per pixel basis, are the observation time, the satellite viewing and solar geometry angles, a quality flag, and land cover class. The dataset coverage is global over the land surface. LSTs are provided on a global equal angle grid at a resolution of 0.01° longitude and 0.01° latitude. SLSTRA achieves full Earth coverage in 1 day so the daily files have gaps where the surface is not covered by the satellite swath during day or night on that day. Furthermore, LSTs are not produced where clouds are present since under these circumstances the IR radiometer observes the cloud top which is usually much colder than the surface. Dataset coverage starts on 1st May 2016 and ends on 31st December 2020. There are minor interruptions (1-10 days) during satellite/instrument maintenance periods or instrument anomalies. The dataset was produced by the University of Leicester (UoL) and LSTs were retrieved using the (UoL) LST retrieval algorithm and data were processed in the UoL processing chain. The dataset was produced as part of the ESA Land Surface Temperature Climate Change Initiative which strives to improve satellite datasets to Global Climate Observing System (GCOS) standards.