cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26186/144318
title: Bathymetry grids of SOJN05MV Survey (GA-1175)

description: The SOJN05MV bathymetry survey, GA-1175 was acquired by Oregon state University onboard the Scripps Institution of Oceanography (SIO) RV Melville from the 19th of February to the 02nd of march 1997 using a SeaBeam 2000 sonar system. The bathymetry dataset was acquired while the RV Melville was transiting from Fremantle to Hobart. This dataset contains the 128m resolution, 32-bit geotiffs of the SOJN05MV survey produced from the processed SeaBeam system bathymetry data of the survey area using the CARIS HIPS and SIPS software. This dataset is published with the permission of the CEO, Geoscience Australia. Not to be used for navigational purposes. Appropriate acknowledgment must be given to both the original scientists (Christie, David) (http://www.marine-geo.org/tools/search/entry.php?id=SOJN05MV#datasets) and to the Marine Geoscience Data System (www.marine-geo.org).
DOI: 10.26186/144385
title: Seamounts, Canyons and Reefs of the Coral Sea bathymetry survey (FK200802/GA0365)

description: This resource includes bathymetry data acquired during the Seamounts, Canyons and Reefs of the Coral Sea bathymetry survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Seamounts, Canyons and Reefs of the Coral Sea bathymetry survey was led by Dr. Brendan Brooke and Dr. Scott Nichol (Geoscience Australia) with a team of scientists from Geoscience Australia, James Cook University, The University of Sydney, University of Tasmania, University of Wollongong, Queensland Museum and Parks Australia aboard the Schmidt Ocean Institute (SOI) RV Falkor from the 2nd to the 30th of August 2020. The primary objective of the survey to collect and analyze geological and biological data of the outer, deep-water edge of the Great Barrier Reef and platform reefs in the adjacent Coral Sea Marine Park. R/V Falkor’s multibeam systems were used to map the structure of the reefs, canyons, and seamounts, illuminating their formative processes. The datasets acquired will greatly improve understanding of the sedimentary processes that influence biodiversity patterns, including how canyons and platform reefs may provide a pathway for sediment to travel from coastal and shelf water to deep filter feeders. The deep and irregular canyon and platform-reef topography likely leads to direct upwelling of nutrient-rich deep waters. This dataset contains a 64m and a 16m, for water depths shallower than 2560m, resolution 32-bit geotiff of the Seamounts, Canyons and Reefs of the Coral Sea survey area produced from the processed EM302 and EM710 bathymetry data combined. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.26186/144415
title: Elizabeth and Middleton Reef bathymetry survey (GA4848)

description: This resource includes bathymetry data for Elizabeth and Middleton Reef within Lord Howe Marine Park collected by Geoscience Australia during the period 31 January to 6 February 2020 on the Australian Maritime College vessel, TV Bluefin. The survey was undertaken as a collaborative project funded through the National Environmental Science Program Marine Biodiversity Hub, with the Institute for Marine & Antarctic Studies (University of Tasmania), NSW Department of Primary Industries, University of Sydney (Centre for Field Robotics) and Parks Australia. The purpose of the survey was to collect baseline information for benthic habitats within the National Park Zone (Middleton Reef) and Recreational Use Zone (Elizabeth Reef) of the marine park. These data will support ongoing environmental monitoring within the Temperate East Marine Park Network as part of the 10-year management plan (2018-2028). Data acquisition for the project included seabed mapping using multibeam sonar (Kongsberg EM 2040C HD, 300 kHz), seabed imagery acquisition by Autonomous Underwater Vehicle (AUV Sirius), sediment samples (grab) and imagery of demersal fish communities by baited remote underwater video (BRUV). This dataset comprises two bathymetry grids derived from multibeam sonar data gridded at 5 m spatial resolution, covering a combined area of 312 km2 including the transit. A detailed report on the survey is provided in: Carroll, A et al. 2020. Australian Marine Park Baseline and Monitoring Survey: Post Survey Report, Middleton and Elizabeth Reefs, Lord Howe Marine Park. Report to the National Environmental Science Program, Marine Biodiversity Hub. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia
DOI: 10.5519/qd.8t7j8vyf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.22818410.v1
title: Training-all21-N-Human345-Full.7z

description: Training data for D-Va
DOI: 10.6084/m9.figshare.22818410
title: Training-all21-N-Human345-Full.7z

description: Training data for D-Va
DOI: 10.6084/m9.figshare.22818206
title: D-Va-testing-002-Energy-02-HCD-15-20-35-40.7z

description: Testing data for D-Va
DOI: 10.6084/m9.figshare.22818206.v1
title: D-Va-testing-002-Energy-02-HCD-15-20-35-40.7z

description: Testing data for D-Va
DOI: 10.6084/m9.figshare.22818707
title: sesame table-all life.docx

description: sesame data
DOI: 10.26179/nrhe-nh61
title: Field and traverse data, Law Dome, 1968
DOI: 10.5519/qd.w6w6hkc4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (81 records)
DOI: 10.5519/qd.u7jtchtv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (114 records)
DOI: 10.5519/qd.0qyqwrg1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (78 records)
DOI: 10.21227/ys7g-6t64
title: 5TH ABC Challenge: Forecasting Thermal Comfort Sensations for Heatstroke Prevention: Leveraging Physiological Data for Better Outcomes

description: Heatstroke prevention is crucial because heatstroke is a life-threatening condition that can result in severe health consequences and even death. Heatstroke occurs when the body's internal temperature rises to a dangerous level, usually as a result of prolonged exposure to high temperatures or physical exertion in hot weather. Symptoms of heatstroke include confusion, rapid heartbeat, rapid breathing, seizures, and loss of consciousness. Furthermore, the mortality rate due to overheating is estimated to increase by 260% by the 2050s. So, it is important to understand heatstroke symptoms in advance. Thus, forecasting the danger situation for heatstroke using physiological data and machine learning will be helpful because it can help identify individuals who are at risk for heatstroke before they develop symptoms. By analyzing physiological data such as heart rate, body temperature, and blood pressure, machine-learning algorithms can detect patterns and trends that may indicate an increased risk of heatstroke.  In this challenge, participants are required to forecast the personal thermal comfort sensations by using physiological data. The training dataset comprises timestamped observations for 23 individuals over a span of 6 days. Each observation consists of a specific feature value at a particular time. Your goal is to create a machine-learning model that can forecast the thermal sensations based on this historical data.
DOI: 10.26186/144556
title: Bynoe Harbour Habitat Mapping Bathymetry Survey (SOL6432/GA4452)

description: This resource contains multibeam bathymetry data collected as part of the Darwin and Bynoe Harbour Habitat Mapping Project undertaken by Geoscience Australia (GA), the Australian Institute of Marine Science (AIMS) and the Northern Territory Government (Department of Environment and Natural Resources). The data were acquired during the period from 3 to 27 May 2016 on the RV Solander (survey SOL6432/GA04452). This project was made possible through offset funds provided by INPEX-led Ichthys LNG Project to Northern Territory Government Department of Environment and Natural Resources, and co-investment from Geoscience Australia and Australian Institute of Marine Science. The intent of this four year (2014-2018) project is to improve knowledge of the marine environments in the Darwin and Bynoe Harbour regions by collating and collecting baseline data that enable the creation of thematic habitat maps that underpin marine resource management decisions. The specific objectives of the survey were to: 1. Obtain high-resolution geophysical (multibeam bathymetry) data for Bynoe Harbour; 2. Characterise seabed substrates (multibeam acoustic backscatter properties, seabed sediment grainsize, sediment chemistry) for Bynoe Harbour; and 3. Collect tidal data for the survey area. Data acquired during the survey included: multibeam sonar bathymetry and acoustic backscatter; physical samples of seabed sediments, seabed still images and video footage of grab sample locations, and oceanographic information including tidal data and water column sound velocity profiles. This V1 dataset contains two 2m resolution 32-bit geotiff of the SOL6432 survey area produced from the processed Kongsberg EM2040C bathymetry data. A detailed account of the survey is provided in: Siwabessy, P.J.W., Smit, N., Atkinson, I., Dando, N., Harries, S., Howard, F.J.F., Li, J., Nicholas W.A., Picard, K., Radke, L.C., Tran, M., Williams, D. and Whiteway, T. 2016. Bynoe Harbour Marine Survey 2016: GA4452/SOL6432 – Post-survey report. Record 2017/04. Geoscience Australia, Canberra. http://dx.doi.org/10.11636/Record.2017.004. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.26186/145179
title: Arafura Marine Park survey (SOL7491/GA0366)

description: This resource includes bathymetry data for Arafura Marine Park (Arafura Sea) collected by Geoscience Australia (GA) and the Australian Institute of Marine Science during the period 2 – 15 November 2020 on the RV Solander. The survey was undertaken as a collaborative project funded through the National Environmental Science Program Marine Biodiversity Hub, with co-investment by GA and AIMS. The purpose of the project was to build baseline information for benthic habitats in Arafura Marine Park that will support ongoing environmental monitoring within the North Marine Park Network as part of the 10-year management plan (2018-2028). Data acquisition for the project included multibeam bathymetry and backscatter for two areas (Money Shoal and Pillar Bank), seabed samples and underwater imagery of benthic communities and demersal fish. This bathymetry dataset contains a 6 m resolution 32-bit geotiff of the survey areas produced from the processed EM2040C Dual Head system using CARIS HIPS and SIPS software. A detailed report on the survey is provided in: Picard, K. Stowar, M., Roberts, N., Siwabessy, J., Abdul Wahab, M.A., Galaiduk, R., Miller, K., Nichol, S. 2021. Arafura Marine Park Post Survey Report. Report to the National Environmental Science Program, Marine Biodiversity Hub.
DOI: 10.5519/qd.x3ros3ou
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (133 records)
DOI: 10.26186/145276
title: Davis Coast Bathymetry Survey 2017

description: Geoscience Australia conducted a hydrographic and seafloor characterisation survey nearshore from Davis Station in the Australian Antarctic Territory. The multibeam bathymetry data was acquired during January-February 2017 from the AAD workboat Howard Burton in the Vestfold Hills region. This survey is a component of the Australian Antarctic Program (AAP) and Project 5093 Hydrographic Surveying and Seafloor Characterisation Program (Chief Investigator: Ursula Harris, AAD). The objective of the survey was to map the seabed environment in shallow (&lt;300 m) coastal waters for the compilation of nautical charts and acquire baseline data for environmental management, science, infrastructure and logistical operations. Data collected during the survey includes high-resolution multibeam bathymetry, backscatter, sediment samples, seafloor imagery and sub-bottom profiles. This dataset is a 32bit geotiff at 11 m resolution using EGM2008 vertical datum and EPSG:4326 coordinate system and produced from the processed EM3002D/ EM2040C Dual system bathymetry data. This dataset is published with the permission of the CEO, Geoscience Australia. Not to be used for navigational purposes.
DOI: 10.26186/145543
title: Bremer, Leeuwin and Perth Canyons bathymetry survey (FK200126/GA4865)

description: This resource includes bathymetry data acquired during the Bremer, Leeuwin and Perth Canyons bathymetry survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Bremer, Leeuwin and Perth Canyons survey (FK200126/GA4865), also known as The Great Australian Deep-Sea Coral and Canyon Adventure survey (https://schmidtocean.org/cruise/coralandcanyonadventure), was led by Dr. Julie Trotter (The University of Western Australia) and Dr. Paolo Montagna (Institute of Polar Sciences) aboard the Schmidt Ocean Institute's research vessel Falkor, from the 26th of January to the 25th of February 2020. The primary objective of the expedition was to map underwater landscapes in the Bremer, Leeuwin and Perth Canyons, characterise chemical and physical oceanography, and use the SOIs ROV SuBastian to capture high-definition video and collect samples. This V1 dataset contains nine 2m to 64m resolution 32-bit floating point geotiff files of the bathymetry in these three study areas and transits, derived from the processed EM302 and EM710 bathymetry data, using CARIS HIPS and SIPS software. An independently processed dataset in GSF format is available at https://www.marine-geo.org/tools/search/DataSets.php?data_set_uids=30215,30216 produced by researchers on the cruise: F. Foglini, A. Remia, J. Trotter and P. Montagna (2021; http://get.iedadata.org/doi/330215 & http://get.iedadata.org/doi/330215). This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.26186/145473
title: Ashmore Reef Marine Park Bathymetry Survey (GA4870/FK210409)

description: This resource includes bathymetry data acquired during the Ashmore Reef Marine Park survey using Kongsberg EM302 and EM710 multibeam sonar systems. The Ashmore Reef Marine Park bathymetry survey (GA4870/FK210409), also known as the Australian Mesophotic Coral Examination survey, was led by AIMS aboard the Schmidt Ocean Institute's research vessel Falkor, from the 09th of April to the 26th of April 2021. The primary objective of the expedition was to map Mesophotic Coral Ecosystems (MCE’s), monitor anthropogenic and natural stressors to MCE’s and use an ROV and AUV to capture high definition video and collect samples. The data collected from the expedition will develop baseline knowledge to inform conservation efforts and improve management of the Ashmore Reef Marine Park. This V1 dataset contains one 16m resolution 32-bit floating point geotiff file of the Ashmore Reef Marine Park bathymetry, derived from the processed EM302 and EM710 bathymetry data, using CARIS HIPS and SIPS software. This dataset is not to be used for navigational purposes. This dataset is published with the permission of the CEO, Geoscience Australia.
DOI: 10.5519/qd.5sg6sxi9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (822388 records)
DOI: 10.5517/ccdc.csd.cc28zcf2
title: CCDC 2114554: Experimental Crystal Structure Determination

description: Related Article: Anirban Bera, Sk Abulkalam Azad, Prasanta Patra, Nayim Sepay, Rathin Jana, Tapas Das, Amit Saha, Shubhankar Samanta|2023|J.Org.Chem.|88|5622|doi:10.1021/acs.joc.3c00109
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.cc2d1gfc
title: CCDC 2205942: Experimental Crystal Structure Determination

description: Related Article: Maruti Mali, Shashikant Patil, Balasubramanian Sridhar, Subhash Ghosh, Bertrand Carboni, Fabienne Berrée|2023|J.Org.Chem.|88|5772|doi:10.1021/acs.joc.3c00228
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.cc2d1ggd
title: CCDC 2205943: Experimental Crystal Structure Determination

description: Related Article: Maruti Mali, Shashikant Patil, Balasubramanian Sridhar, Subhash Ghosh, Bertrand Carboni, Fabienne Berrée|2023|J.Org.Chem.|88|5772|doi:10.1021/acs.joc.3c00228
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.cc2dfmyf
title: CCDC 2217645: Experimental Crystal Structure Determination

description: Related Article: Liyaqat Ali, Dandugula Sneha Latha, Avinash Kumar, Srinivasarao Yaragorla|2023|J.Org.Chem.|88|5457|doi:10.1021/acs.joc.2c03095
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.cc2dk9cn
title: CCDC 2221161: Experimental Crystal Structure Determination

description: Related Article: Liyaqat Ali, Dandugula Sneha Latha, Avinash Kumar, Srinivasarao Yaragorla|2023|J.Org.Chem.|88|5457|doi:10.1021/acs.joc.2c03095
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.cc2dydrj
title: CCDC 2232798: Experimental Crystal Structure Determination

description: Related Article: Liyaqat Ali, Dandugula Sneha Latha, Avinash Kumar, Srinivasarao Yaragorla|2023|J.Org.Chem.|88|5457|doi:10.1021/acs.joc.2c03095
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.cc2dydsk
title: CCDC 2232799: Experimental Crystal Structure Determination

description: Related Article: Liyaqat Ali, Dandugula Sneha Latha, Avinash Kumar, Srinivasarao Yaragorla|2023|J.Org.Chem.|88|5457|doi:10.1021/acs.joc.2c03095
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.cc2f2s4g
title: CCDC 2236995: Experimental Crystal Structure Determination

description: Related Article: Lina Zhang, Hang Yan, Yueyue Fan, Xiande Luo, Yingqiao Pan, Yishu Liu, Yuepiao Cai, Qinqin Xia|2023|J.Org.Chem.|88|5731|doi:10.1021/acs.joc.3c00187
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.cc2f428y
title: CCDC 2238239: Experimental Crystal Structure Determination

description: Related Article: Ramaraj Ayyappan, Uttam Kumar Das, Issam Abdalghani, Rosenildo C. Da Costa, Graham J. Tizzard, Simon J. Coles, Gareth R. Owen|2023|Inorg.Chem.|62|6704|doi:10.1021/acs.inorgchem.3c00287
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.cc2f429z
title: CCDC 2238240: Experimental Crystal Structure Determination

description: Related Article: Ramaraj Ayyappan, Uttam Kumar Das, Issam Abdalghani, Rosenildo C. Da Costa, Graham J. Tizzard, Simon J. Coles, Gareth R. Owen|2023|Inorg.Chem.|62|6704|doi:10.1021/acs.inorgchem.3c00287
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.cc2f42b0
title: CCDC 2238241: Experimental Crystal Structure Determination

description: Related Article: Ramaraj Ayyappan, Uttam Kumar Das, Issam Abdalghani, Rosenildo C. Da Costa, Graham J. Tizzard, Simon J. Coles, Gareth R. Owen|2023|Inorg.Chem.|62|6704|doi:10.1021/acs.inorgchem.3c00287
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.cc2cq7w7
title: CCDC 2196129: Experimental Crystal Structure Determination

description: Related Article: Mamta Bhandari, Mandeep Kaur, Sandeep Rawat, Sanjay Singh|2023|Inorg.Chem.|62|6598|doi:10.1021/acs.inorgchem.2c03775
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.