cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/0675a6fd-0c0e-43a0-a003-48e7954ca95b
title: GPS and Time-Depth Recorder tracking data of chinstrap penguins (Pygoscelis antarcticus) breeding at the South Orkney Islands, from 2011 to 2016

description: This dataset captures information from GPS and Time-Depth Recorder (TDR) tracking of 221 chinstrap penguins from 4 sites at the South Orkney Islands (Cape Geddes at Laurie Island, Powell Island, Monroe Island and Signy Island). Monitoring was carried out during incubation and brood between the months of December and February from 2011 to 2016. GPS data are available at 4 minute intervals whilst birds are at the sea surface and dive data every second. Tags measured birds' foraging patterns to study the relationship between breeding stage and foraging distribution. This research was supported by the Darwin Plus, WWF and the UKRI/BAS Ecosystems Programme under ALI-Science.
description: Global positioning system (GPS) devices and temperature-depth recorders (TDR) were fitted to 221 chinstrap penguins, captured at their nest during incubation and brood from 4 sites at the South Orkney Islands. These sites are as follows: Laurie Island from December 2011 to January 2012, Powell Island from December 2013 to January 2014, Monroe Island from December 2015 to February 2016, and at Signy Island from January to February 2016. The devices were attached using tape and 2-part quick-setting glue, and handling time was no longer than 10 minutes for deployment and 5 minutes for retrieval. The TDRs were programmed to record depth every second and the GPS loggers were set to record location every 4 minutes, although subject to satellite connection. Devices were retrieved on average after 4 to 5 days. All data points on land should be excluded.
description: Any GPS points on land, or where travelling speeds are above 10m s-1 , should be excluded. To adjust for the drift in TDR pressure readings associated with temperature changes, the depth data should be zero-offset corrected.
DOI: 10.5281/zenodo.7050181
title: Deciphering interactions between the marine dinoflagellate Prorocentrum lima and the fungus Aspergillus pseudoglaucus

description: The comprehension of microbial interactions is one of the key challenges in marine microbial ecology. This study focused on exploring chemical interactions between the toxic dinoflagellate <em>Prorocentrum lima</em> and a filamentous fungal species, <em>Aspergillus pseudoglaucus</em>, which has been isolated from the microalgal culture. Such interspecies interactions are expected to occur even though they were rarely studied. Here, a co-culture system was designed in a dedicated microscale marine-like condition. This system allowed to explore microalgal-fungal physical and metabolic interactions in presence and absence of the bacterial consortium. Microscopic observation showed an unusual physical contact between the fungal mycelium and dinoflagellate cells. To delineate specialized metabolome alterations during microalgal-fungal co-culture metabolomes were monitored by high-performance liquid chromatography coupled to high-resolution mass spectrometry. In-depth multivariate statistical analysis using dedicated approaches highlighted (1) the metabolic alterations associated with microalgal-fungal co-culture, and (2) the impact of associated bacteria in microalgal metabolome response to fungal interaction. Unfortunately, only a very low number of highlighted features were fully characterised. However, an up-regulation of the dinoflagellate toxins okadaic acid and dinophysistoxin 1 was observed during co-culture in supernatants. Such results highlight the importance to consider microalgal-fungal interactions in the study of parameters regulating toxin production.
DOI: 10.5281/zenodo.7050180
title: Deciphering interactions between the marine dinoflagellate Prorocentrum lima and the fungus Aspergillus pseudoglaucus

description: The comprehension of microbial interactions is one of the key challenges in marine microbial ecology. This study focused on exploring chemical interactions between the toxic dinoflagellate <em>Prorocentrum lima</em> and a filamentous fungal species, <em>Aspergillus pseudoglaucus</em>, which has been isolated from the microalgal culture. Such interspecies interactions are expected to occur even though they were rarely studied. Here, a co-culture system was designed in a dedicated microscale marine-like condition. This system allowed to explore microalgal-fungal physical and metabolic interactions in presence and absence of the bacterial consortium. Microscopic observation showed an unusual physical contact between the fungal mycelium and dinoflagellate cells. To delineate specialized metabolome alterations during microalgal-fungal co-culture metabolomes were monitored by high-performance liquid chromatography coupled to high-resolution mass spectrometry. In-depth multivariate statistical analysis using dedicated approaches highlighted (1) the metabolic alterations associated with microalgal-fungal co-culture, and (2) the impact of associated bacteria in microalgal metabolome response to fungal interaction. Unfortunately, only a very low number of highlighted features were fully characterised. However, an up-regulation of the dinoflagellate toxins okadaic acid and dinophysistoxin 1 was observed during co-culture in supernatants. Such results highlight the importance to consider microalgal-fungal interactions in the study of parameters regulating toxin production.
DOI: 10.6084/m9.figshare.21493986
title: Model_output_for_Anthropogenic amplification of biogenic secondary organic aerosol production

description: Model: GFDL AM4.1. Results have been averaged over 1872-1888 for pre-industrial simulations and 2000-2016 for present-day simulations. Simulations: PIctrl07c - Pre-industrial results using the Simple SOA scheme. PIsurf07d - Pre-industrial results using the CMPX SOA scheme. PIsurf07d-ag - Pre-industrial results using the CMPX_ag SOA scheme. ctrl07c - Present-day results using the Simple SOA scheme. surf07d - Present-day results using the CMPX SOA scheme. surf07d-ag - Present-day results using the CMPX_ag SOA scheme.
DOI: 10.6084/m9.figshare.21493986.v1
title: Model_output_for_Anthropogenic amplification of biogenic secondary organic aerosol production

description: Model: GFDL AM4.1. Results have been averaged over 1872-1888 for pre-industrial simulations and 2000-2016 for present-day simulations. Simulations: PIctrl07c - Pre-industrial results using the Simple SOA scheme. PIsurf07d - Pre-industrial results using the CMPX SOA scheme. PIsurf07d-ag - Pre-industrial results using the CMPX_ag SOA scheme. ctrl07c - Present-day results using the Simple SOA scheme. surf07d - Present-day results using the CMPX SOA scheme. surf07d-ag - Present-day results using the CMPX_ag SOA scheme.
DOI: 10.6084/m9.figshare.16652818
title: CO OHM Tree Allometry

description: Accompanying dataset for <em>Developing non-destructive species-specific tree allometry with terrestrial laser scanning </em>(accepted at Methods in Ecology and Evolution)
DOI: 10.5517/ccdc.csd.cc28x1kt
title: CCDC 2112326: Experimental Crystal Structure Determination

description: Related Article: Lauren L. K. Taylor, Rebecca Andrews, April C. Y. Sung, Iñigo J. Vitorica-Yrezabal, Imogen A. Riddell|2022|Chem.Commun.|58|12301|doi:10.1039/D2CC04624E
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.cc28x1lv
title: CCDC 2112327: Experimental Crystal Structure Determination

description: Related Article: Lauren L. K. Taylor, Rebecca Andrews, April C. Y. Sung, Iñigo J. Vitorica-Yrezabal, Imogen A. Riddell|2022|Chem.Commun.|58|12301|doi:10.1039/D2CC04624E
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.cc28x1nx
title: CCDC 2112329: Experimental Crystal Structure Determination

description: Related Article: Lauren L. K. Taylor, Rebecca Andrews, April C. Y. Sung, Iñigo J. Vitorica-Yrezabal, Imogen A. Riddell|2022|Chem.Commun.|58|12301|doi:10.1039/D2CC04624E
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.cc28xcp8
title: CCDC 2112640: Experimental Crystal Structure Determination

description: Related Article: Lauren L. K. Taylor, Rebecca Andrews, April C. Y. Sung, Iñigo J. Vitorica-Yrezabal, Imogen A. Riddell|2022|Chem.Commun.|58|12301|doi:10.1039/D2CC04624E
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.cc28yl50
title: CCDC 2113802: Experimental Crystal Structure Determination

description: Related Article: Xinghong Zhang, Shuang Yuan, Yunxiang Lu, Haichuang Lan, Shuzhang Xiao, Tao Yi|2022|J.Mater.Chem.C|10|15920|doi:10.1039/D2TC02717H
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.cc294skt
title: CCDC 2119766: Experimental Crystal Structure Determination

description: Related Article: Qinzhen Li, Sha Yang, Jinsong Chai, Hui Zhang, Manzhou Zhu|2022|Nanoscale|14|15804|doi:10.1039/D2NR05291A
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.cc294snx
title: CCDC 2119769: Experimental Crystal Structure Determination

description: Related Article: Qinzhen Li, Sha Yang, Jinsong Chai, Hui Zhang, Manzhou Zhu|2022|Nanoscale|14|15804|doi:10.1039/D2NR05291A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7277898
title: Delivery of a Masked Uranium(II) by an Oxide-Bridged Diuranium(III) Complex

description: This upload contains raw data (NMR, X-Ray, Elemental Analysis) files for the article.
DOI: 10.5281/zenodo.7277897
title: Delivery of a Masked Uranium(II) by an Oxide-Bridged Diuranium(III) Complex

description: This upload contains raw data (NMR, X-Ray, Elemental Analysis) files for the article.
DOI: 10.5281/zenodo.7277929
title: Data for article "Single metal four-electron reduction by U(ii) and masked "U(ii)" compounds"

description: This upload contains raw data (NMR, X-Ray, Elemental Analysis, IR) files for the article.
DOI: 10.5281/zenodo.7277928
title: Data for article "Single metal four-electron reduction by U(ii) and masked "U(ii)" compounds"

description: This upload contains raw data (NMR, X-Ray, Elemental Analysis, IR) files for the article.
DOI: 10.6084/m9.figshare.21064657
title: Vaz et al. (2022). Constraining the mechanisms of eolian bedform formation on Mars through a global morphometric survey.

description: Morphometric database of martian meter-scale eolian bedforms. For details refer to: <strong>David A. Vaz, Simone Silvestro, Matthew Chojnacki, David C. A. Silva (2022?). Constraining the mechanisms of eolian bedform formation on Mars through a global morphometric survey. Submitted to GRL (11/2022).</strong>
DOI: 10.6084/m9.figshare.21064657.v2
title: Vaz et al. (2022). Constraining the mode of eolian transport on Mars through a global morphometric survey of bedforms. Supplementary material.

description: Morphometric database of martian meter-scale eolian bedforms. For details refer to: <strong>David A. Vaz, Simone Silvestro, Matthew Chojnacki, David C. A. Silva (2022?). Constraining the mode of eolian transport on Mars through a global morphometric survey of bedforms. Submitted to Geology (9/7/2022).</strong>
DOI: 10.6084/m9.figshare.21064657.v3
title: Vaz et al. (2022). Constraining the mechanisms of eolian bedform formation on Mars through a global morphometric survey.

description: Morphometric database of martian meter-scale eolian bedforms. For details refer to: <strong>David A. Vaz, Simone Silvestro, Matthew Chojnacki, David C. A. Silva (2022?). Constraining the mechanisms of eolian bedform formation on Mars through a global morphometric survey. Submitted to GRL (11/2022).</strong>
DOI: 10.25989/00s5-6838
title: Materials Experiment and Analysis Database: X-ray diffraction measurements 4 files performed on plate containing Ge,Mn,Ar, annealed at 610.0C to add O on 2017-03-08 from Run 20170308.093105

description: This record is a component of the Materials Experiment and Analysis Database (MEAD). It contains raw data and metadata from millions of materials synthesis and characterization experiments, as well as the analysis and distillation of that data into property and performance metrics. The unprecedented quantity and diversity of experimental data are searchable by experiment and analysis attributes generated by both researchers and data processing software.
description: Files available via S3 at https://renc.osn.xsede.org/ini210004tommorrell/0_gregoire/00s5-6838/&lt;/p&gt;20170308.093105.copied-20190301221354051PST.zip 0.01 GB &lt;a role="button" class="ui compact mini button" href="https://renc.osn.xsede.org/ini210004tommorrell/0_gregoire/00s5-6838/20170308.093105.copied-20190301221354051PST.zip" &gt; &lt;i class="download icon"&gt;&lt;/i&gt; Download &lt;/a&gt;&lt;/p&gt;
DOI: 10.21227/wet7-gc70
title: Doppler Ambiguity Dataset

description: This synthetic dataset is generated using Matlab automotive driving toolbox to simulate a 77GHz FMCW millimeter-wave radar sensing in the road scenario. Especially for the Doppler ambiguity case, when the object vehicles move within or out of the unambiguous detecable velocity range. The dataset contains in total 20 recordings with the duration of 1 second each. Both time-division modulation (TDM) and binary phase modulation (BPM) data are provided. Each recording consists of complex ADC raw data and complex range-Doppler map, together with the ground-truth range and velocity. At last, a python script is provided to bridge the gap between the generated raw data and machine learning dataloader.
DOI: 10.7910/dvn/sfmlb9
title: American election results at the precinct level

description: This paper describes the process of collecting, cleaning, and quality assuring the 2016, 2018, and 2020 precinct datasets in this repository. A formatted version of this paper was published by Nature Scientific Data (https://www.nature.com/articles/s41597-022-01745-0) under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). This is a *paper* describing the datasets that are hosted elsewhere in this dataverse. Please cite the *datasets* when using the datasets, and only cite the paper for any discussion of the datasets' accuracy or how they were created.
DOI: 10.6084/m9.figshare.21494934.v1
title: 300K3.vcf

description: Files shared for submission
DOI: 10.7910/dvn/vlosld
title: An alert system for Seasonal Fire probability forecast for South American Protected Areas

description: Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent and monitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five-level alert system, which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017–2019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017–2019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning and mitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders.
DOI: 10.5281/zenodo.4721383
title: Chesley et al., 2021 - Northern Hikurangi Margin Electromagnetic Data from HT-RESIST trench-crossing profile

description: Chesley_etal_2021_North-Hikurangi-EM-data.txt contains controlled-source electromagnetic data and magnetotelluric data from the northern trench-crossing profile of the Hikurangi Trench Regional Electromagnetic Survey to Image the Subduction Thrust (HT-RESIST) project (see https://emlab.ldeo.columbia.edu/index.php/category/ht-resist/ for information regarding the survey). Chesley_etal_2021_North-Hikurangi-bathymetry.txt is the associated bathymetry file.
description: The resistivity model from inversion of these data is published in Chesley, C., Naif, S., Key, K. et al. Fluid-rich subducting topography generates anomalous forearc porosity. Nature 595, 255–260 (2021). https://doi.org/10.1038/s41586-021-03619-8
DOI: 10.5281/zenodo.4721384
title: Chesley et al., 2021 - Northern Hikurangi Margin Electromagnetic Data from HT-RESIST trench-crossing profile

description: Chesley_etal_2021_North-Hikurangi-EM-data.txt contains controlled-source electromagnetic data and magnetotelluric data from the northern trench-crossing profile of the Hikurangi Trench Regional Electromagnetic Survey to Image the Subduction Thrust (HT-RESIST) project (see https://emlab.ldeo.columbia.edu/index.php/category/ht-resist/ for information regarding the survey). Chesley_etal_2021_North-Hikurangi-bathymetry.txt is the associated bathymetry file.
description: The resistivity model from inversion of these data is published in Chesley, C., Naif, S., Key, K. et al. Fluid-rich subducting topography generates anomalous forearc porosity. Nature 595, 255–260 (2021). https://doi.org/10.1038/s41586-021-03619-8
DOI: 10.6084/m9.figshare.21494925
title: PstI.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494928
title: GBS.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494934
title: 300K3.vcf

description: Files shared for submission Files shared for submission.
DOI: 10.6084/m9.figshare.21494925.v2
title: PstI.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494928.v2
title: GBS.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494934.v2
title: 300K3.vcf3D-GBS

description: Files shared for submission Files shared for submission.
DOI: 10.6084/m9.figshare.21494934.v3
title: 300K3.vcf

description: Files shared for submission Files shared for submission.
DOI: 10.6084/m9.figshare.21494937
title: 300K1.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494937.v2
title: 300K1.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494838
title: 100K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494844
title: 100K1.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494862
title: 200K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494925.v1
title: PstI.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494937.v1
title: 300K1.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494799
title: 50K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494862.v2
title: 200K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494883
title: 3D-GBS.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494928.v1
title: GBS.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494799.v2
title: 50K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494838.v2
title: 100K3.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494844.v2
title: 100K1.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494862.v1
title: 200K3.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494904
title: 100K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494904.v2
title: 100K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494799.v1
title: 50K3.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494838.v1
title: 100K3.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494883.v2
title: 3D-GBS.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494910
title: 50K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494916
title: 300K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494844.v1
title: 100K1.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494883.v1
title: 3D-GBS.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494904.v1
title: 100K2.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494910.v2
title: 50K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494916.v2
title: 300K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494766
title: 200K1.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494769
title: 200K2.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494916.v1
title: 300K2.vcf3D-GBS

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494919
title: NsiI.vcf

description: Files shared for submission.
DOI: 10.6084/m9.figshare.21494919.v2
title: NsiI.vcf

description: Files shared for submission.