cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.877936
title: Seafloor images at near field seafloor observatory DELOS A, off the coast of Angola, in the South East Atlantic Ocean, 2013-09-21 to 2014-08-17, Deployment 7

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877937
title: Seafloor images at near field seafloor observatory DELOS A, off the coast of Angola, in the South East Atlantic Ocean, 2014-09-17 to 2015-07-15, Deployment 8

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877938
title: Seafloor images at near field seafloor observatory DELOS A, off the coast of Angola, in the South East Atlantic Ocean, 2015-10-07 to 2016-07-19, Deployment 9

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877939
title: Seafloor images at near field seafloor observatory DELOS B, off the coast of Angola, in the South East Atlantic Ocean, 2009-02-17 to 2009-04-04, Deployment 1

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877940
title: Seafloor images at near field seafloor observatory DELOS B, off the coast of Angola, in the South East Atlantic Ocean, 2009-08-10 to 2009-11-09, Deployment 2

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877941
title: Seafloor images at near field seafloor observatory DELOS B, off the coast of Angola, in the South East Atlantic Ocean, 2010-08-31 to 2011-08-12, Deployment 4

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.877942
title: Seafloor images at near field seafloor observatory DELOS B, off the coast of Angola, in the South East Atlantic Ocean, 2011-08-25 to 2012-09-05, Deployment 5

description: The DELOS (Deep-ocean Environmental Long-term Observatory System, http://www.delos-project.org) system comprises two environmental monitoring platforms located within petroleum lease Block 18 in a mid- slope area off Angola, between the deep-sea fans of the Congo and Kwanza rivers. DELOS A is located in the near field (within 50 m of a sea floor well). DELOS B is located in the far field (~16 km from sea floor infrastructure).The DELOS platforms (DELOS A and DELOS B) are under Angolan jurisdiction and all activities must abide by Angolan law. As such, any person intending to publish DELOS data in any form is required to obtain prior permission from the National Concessionaire (Sonangol). Permission can be requested via Robert O'Brien at BP UK (Robert.OBrien@uk.bp.com) or the DELOS PI Dr. David Bailey (David.Bailey@glasgow.ac.uk). This process is not intended as a deterrent and applications to use DELOS data are welcomed.Participating Institutions: BP Exploration, BP Angola, University of Aberdeen, MBARI, National Oceanography Centre, INIP - Angola Instituto Nacional de Investigação Pesqueira (Angolan National Institute of Fisheries), Texas A&M University, Glasgow University
DOI: 10.1594/pangaea.879812
title: CarbonBridge May 2014: Zooplankton abundance and size structure along transect C crossing the Fram Strait
DOI: 10.1594/pangaea.879813
title: CarbonBridge May 2014: Zooplankton biovolume and size structure along transect C crossing the Fram Strait
DOI: 10.1594/pangaea.879441
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/042-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820808), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879442
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/044-3 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820809), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879443
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/047-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820810), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879444
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/051-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820811), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879445
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/054-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820812), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879446
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/059-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820813), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879740
title: Sea surface temperature estimates for sediment core 127-797, Japan Sea
DOI: 10.1594/pangaea.879447
title: Upwelling spectral radiance as measured in different depths at radiometer station PS73/062-2 (corrected version)

description: In the previous upwelling radiance (Lu) profile data set (doi:10.1594/PANGAEA.820814), Lu data were wrongly shifted by 3 nm (which responds to the originally resolution of the measurement). The results of the publications related to these data were not affected. Taylor et al. 2013 investigated only Lu data incorrectly shifted by 3 nm, so the analysis was consistent within itself. Taylor et al. 2011 and Bracher et al. 2015 used the remote sensing reflectance (RRS) data calculated from the incorrectly shifted Lu data. The resulting RRS data only showed inconsistencies were the incoming downwelling irradiance changes quickly with wavelengths, which resulted erroneous features &lt;430 nm. We have used both versions (previous and the one presented here) Lu and RRS data and got the same results since the wrong features &lt;430 nm are consistent and are neither used for the hierarchical cluster analysis (only data &gt;430 nm are considered) performed in Taylor et al. 2011 nor for the pigment predictions (since these features are contained in the first empirical orthogonal function) in Bracher et al. 2015.
DOI: 10.1594/pangaea.879557
title: Thirteen years daily mean land surface temperature dataset over the Third Pole, links to GeoTIFF files
DOI: 10.1594/pangaea.880525
title: Chemical parameters in soils after a diesel spill at Potter Cove, Carlini Station, King George Island (Isla 25 de Mayo)

description: A diesel spill occurring at Carlini Station (South Shetland Islands, West Antarctic Peninsula) in 2009 started the study of the fate of the hydrocarbons and their effect on the bacterial communities of the Potter Cove ecosystem. After an underground leak due to a buried broken pipe, soils were sampled at the site of the leak after 15 months, two years and four years, when also more sites were sampled following the underground plume. The hydrocarbon fraction that infiltrated unfrozen soil remained detectable for years, and was seeping with ground water. Structural changes of the bacterial communities as well as hydrocarbon, sulfur, carbon and nitrogen contents were investigated in affected terrestrial sites, and two non-contaminated reference sites.
description: If you would like to have access to this dataset please contact Susana Vázquez at: svazquez@ffyb.uba.ar.
DOI: 10.5281/zenodo.10673689
title: THE SYMBOLISM OF BLACK COLOR IN DESCRIBING THE EXTERNAL AND INTERNAL CHARACTERISTICS OF A PERSON

description: Аннотация. В статье рассматриваются семантические и коннотативные значения английских, узбекских и каракалпакских лексем и выражений с символикой чёрного цвета, сравниваются и выявляются сходства и различия в сравниваемых языках для описания внешних и внутренних характеристик человека.

Ключевые слова: символика, черный цвет, личность, психологическое состояние, внутренние и внешние характеристики, лингвокультура.

Annotatsiya. Maqolada ingliz, o‘zbek va qoraqalpoq tillaridagi leksema va qora belgili iboralarning semantik va konnotativ ma’nolari o‘rganilib, shaxsning tashqi va ichki xususiyatlarini tavsiflash uchun taqqoslangan tillardagi o‘xshashlik va farqlar qiyoslanadi va aniqlanadi.

Kalit so‘zlar: timsol, qora rang, shaxs, psixologik holat, ichki va tashqi xususiyatlar, til madaniyati.

Abstract. The article investigates the semantic and connotative meanings of English, Uzbek and Karakalpak lexemes and expressions with black symbols, compares and identifies similarities and differences in the compared languages to describe the external and internal characteristics of a person.

Keywords: symbolism, black color, person, psychological state, internal and external characteristics, linguistic culture.
DOI: 10.5281/zenodo.10673690
title: THE SYMBOLISM OF BLACK COLOR IN DESCRIBING THE EXTERNAL AND INTERNAL CHARACTERISTICS OF A PERSON

description: Аннотация. В статье рассматриваются семантические и коннотативные значения английских, узбекских и каракалпакских лексем и выражений с символикой чёрного цвета, сравниваются и выявляются сходства и различия в сравниваемых языках для описания внешних и внутренних характеристик человека.

Ключевые слова: символика, черный цвет, личность, психологическое состояние, внутренние и внешние характеристики, лингвокультура.

Annotatsiya. Maqolada ingliz, o‘zbek va qoraqalpoq tillaridagi leksema va qora belgili iboralarning semantik va konnotativ ma’nolari o‘rganilib, shaxsning tashqi va ichki xususiyatlarini tavsiflash uchun taqqoslangan tillardagi o‘xshashlik va farqlar qiyoslanadi va aniqlanadi.

Kalit so‘zlar: timsol, qora rang, shaxs, psixologik holat, ichki va tashqi xususiyatlar, til madaniyati.

Abstract. The article investigates the semantic and connotative meanings of English, Uzbek and Karakalpak lexemes and expressions with black symbols, compares and identifies similarities and differences in the compared languages to describe the external and internal characteristics of a person.

Keywords: symbolism, black color, person, psychological state, internal and external characteristics, linguistic culture.
DOI: 10.1594/pangaea.880147
title: Supraglacial debris cover assessment in the Caucasus Mountains, 1986-2000-2014

description: The database contains glacier outlines from 1986-2000-2014. During the investigation Landsat (Landsat 5 TM, Landsat 7 ETM+, Landsat 8 OLI) and SPOT satellite imagery were analyzed to generate glacier outlines using manual and semi-automated methods.
description: Supplement to: Tielidze, Levan; Wheate, Roger D; Kutuzov, Stanislav S; Doyle, Kate; Lavrentiev, Ivan I (in review): Supraglacial debris cover assessment in the Caucasus Mountains, 1986-2000-2014. Earth System Science Data Discussions
DOI: 10.1594/pangaea.880235
title: Pigment concentrations measured in surface water during SONNE cruise SO202/2 (TRANSBROM)

description: Corrected version: 2017-08-31
DOI: 10.1594/pangaea.879741
title: Sea surface temperature estimates for sediment core 346-U1425, Japan Sea
DOI: 10.1594/pangaea.879771
title: Abundance of selected planktonic Cyclopoida (Copepoda, Crustacea) during POLARSTERN cruise ANT-III/3 (PS06)
DOI: 10.1594/pangaea.879791
title: Sea surface temperature differences (UK'37-TEX86) for sediment core 346-U1425, Japan Sea
DOI: 10.1594/pangaea.879792
title: UK'37 sea surface temperatures for sediment core 346-U1425, Japan Sea