cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7787789
title: Using environmental DNA to inform decommissioning decisions for offshore oil and gas infrastructure

description: Abstract Artificial reefs are being utilised globally to aid in natural resource management, conservation, habitat restoration or the creation of unique marine habitats. There is much discussion around the optimal construction materials and designs for artificial reefs, the influences these have on biological communities, and the resulting ecological and social benefits. This discussion also includes the ecological value of repurposed marine infrastructure, such as decommissioned oil and gas platforms. Platforms often have an operational life spanning multiple decades, over which time they can develop extensive and unique community assemblages. The creation of artificial reefs by repurposing oil and gas platforms can have ecological, economic and sociological merit. However, with more than 12,000 platforms requiring decommissioning globally, there is the need for holistic assessment of biological communities associated with these platforms to inform the potential outcomes of different decommissioning options. We use environmental DNA metabarcoding (eDNA) of water, bio-foul and sediment samples to census broad eukaryotic diversity at eight platforms in the Gulf of Thailand (GoT) and five nearby soft sediment habitat locations. From the three depths targeted, we detected 430 taxa at platforms, with higher diversity in shallow (near-surface) samples (313 taxa), compared to mid (30 m collection depth; 261 taxa) and deep (50 m; 273 taxa). Only three percent of taxa were shared among all depths at platforms. Indicator taxa driving differences at platform depths were of the phyla Chordata, Arthropoda and Echinodermata for shallow samples and Cnidaria, Chlorophyta and Porifera for deep. No known introduced species were detected in platform samples. The frameworks supporting eDNA methodologies, such as taxonomy, assay availability and local reference material, particularly in diverse tropical habitats, require improvement for robust taxonomic analysis. This study highlights the versatility and scalability of eDNA metabarcoding in being able to holistically census marine infrastructure and inform the management and potential conservation of extant platform communities.
DOI: 10.5281/zenodo.7787788
title: Using environmental DNA to inform decommissioning decisions for offshore oil and gas infrastructure

description: Abstract Artificial reefs are being utilised globally to aid in natural resource management, conservation, habitat restoration or the creation of unique marine habitats. There is much discussion around the optimal construction materials and designs for artificial reefs, the influences these have on biological communities, and the resulting ecological and social benefits. This discussion also includes the ecological value of repurposed marine infrastructure, such as decommissioned oil and gas platforms. Platforms often have an operational life spanning multiple decades, over which time they can develop extensive and unique community assemblages. The creation of artificial reefs by repurposing oil and gas platforms can have ecological, economic and sociological merit. However, with more than 12,000 platforms requiring decommissioning globally, there is the need for holistic assessment of biological communities associated with these platforms to inform the potential outcomes of different decommissioning options. We use environmental DNA metabarcoding (eDNA) of water, bio-foul and sediment samples to census broad eukaryotic diversity at eight platforms in the Gulf of Thailand (GoT) and five nearby soft sediment habitat locations. From the three depths targeted, we detected 430 taxa at platforms, with higher diversity in shallow (near-surface) samples (313 taxa), compared to mid (30 m collection depth; 261 taxa) and deep (50 m; 273 taxa). Only three percent of taxa were shared among all depths at platforms. Indicator taxa driving differences at platform depths were of the phyla Chordata, Arthropoda and Echinodermata for shallow samples and Cnidaria, Chlorophyta and Porifera for deep. No known introduced species were detected in platform samples. The frameworks supporting eDNA methodologies, such as taxonomy, assay availability and local reference material, particularly in diverse tropical habitats, require improvement for robust taxonomic analysis. This study highlights the versatility and scalability of eDNA metabarcoding in being able to holistically census marine infrastructure and inform the management and potential conservation of extant platform communities.
DOI: 10.34740/kaggle/dsv/5544253
title: Youtube Trending Video - Taiwan & Hong Kong
DOI: 10.5519/qd.y0wucyn4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5526684 records)
DOI: 10.5281/zenodo.7872796
title: Preprocessed Datasets for "Synthesizing Trajectory Queries from Examples" at CAV 2023

description: Preprocessed Datasets for "Synthesizing Trajectory Queries from Examples" at CAV 2023
DOI: 10.5281/zenodo.7872795
title: Preprocessed Datasets for "Synthesizing Trajectory Queries from Examples" at CAV 2023

description: Preprocessed Datasets for "Synthesizing Trajectory Queries from Examples" at CAV 2023
DOI: 10.6084/m9.figshare.22707370
title: Pre and post education assessment results, 2004-2018, from the RANZCOG Fetal Surveillance (CTG) Education Program.

description: Pre- and post-education assessment results from a physiologically based fetal surveillance (CTG) education program. Interrogation of the data was undertaken to measure assessment difficulty, assessment stability, and participant change/improvement over time, for all craft groups caring for women in the antenatal or intrapartum period.
DOI: 10.5517/ccdc.csd.cc2dgf0b
title: CCDC 2218391: Experimental Crystal Structure Determination

description: Related Article: Jie Zhao, Wenyao Zhang, Yayun Zheng, Yue Wang, Dong Yang|2023|Chem.Commun.|59|5229|doi:10.1039/D2CC06485E
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.cc2dhtf5
title: CCDC 2219737: Experimental Crystal Structure Determination

description: Related Article: Wei Xiong, Xuan Jiang, Wen-Cheng Wang, Ying Cheng, Liang-Qiu Lu, Ke Gao, Wen-Jing Xiao|2023|J.Am.Chem.Soc.|145|7983|doi:10.1021/jacs.2c13538
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.7871178
title: The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies

description: The CO<sub>2</sub> emission inventories included 30 emerging economies, spanning from 2010 to 2018. We matched 17 sectors based on indicators such as energy consumption and economic statistics.
DOI: 10.5281/zenodo.7871177
title: The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies

description: The CO<sub>2</sub> emission inventories included 30 emerging economies, spanning from 2010 to 2018. We matched 17 sectors based on indicators such as energy consumption and economic statistics.
DOI: 10.6084/m9.figshare.22714972
title: Foliar functional and genetic variation in a keystone Hawaiian tree species estimated through spectroscopy

description: Leaf spectra of Metrosideros polymorpha genotypes grown in a greenhouse. <br> The first number in the file name is the plant number, and the last is the leaf number. The letter represents the genotype: {G: glaberrima, I: incana from Hawaii Island, OI: incana from Oahu, N: newellii, P: polymorpha}. Two letters represent a hybrid between two varieites. The chems folder includes leaf chemistry data estimated from leaf spectra.
DOI: 10.25582/data.2022-04.2506255/1931435
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506272/1931437
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506233/1931443
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506278/1931450
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506256/1931457
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506259/1932550
title: Data for EMSL Project 51599 from April 2022
DOI: 10.25582/data.2022-04.2506257/1933794
title: Data for EMSL Project 51491 from April 2022
DOI: 10.25582/data.2022-04.2506277/1933802
title: Data for EMSL Project 51491 from April 2022
DOI: 10.5439/1962422
title: Magnaprobe Snow Depths for the 2019 SALVO Campaign

description: The springtime, surface-albedo transition in the Alaskan Arctic and the forcings that determine the duration and nature of that transition are the focus of our Snow ALbedo eVOlution (SALVO I & II) campaign. The SALVO team are assessing the “whys” and “how longs” of the stages of the spring melt during which albedo values drop from 0.8 to 0.1, the largest and most significant change of the year. The near-shore location of the ARM NSA observatory makes this an ideal place to investigate these melt stages.
DOI: 10.15483/livewire/1968612
title: The Livewire Data Platform

description: The Livewire Data Platform makes it easy to search and share transportation and mobility-related data. The Livewire Data Platform supports the U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy’s Energy Efficient Mobility Systems (EEMS) Program goal of providing an affordable, efficient, safe, and accessible transportation future where mobility is decoupled from energy consumption. The Livewire Data Platform will function as a repository for all EEMS data and will support the following objectives: (1) EEMS partners with relevant data can catalog, document, and share project datasets via file-based sharing or Application Programming Interface (API) and can provides access management and usage auditing for those resources. (2) EEMS partners can securely search, discover and access shared datasets, their metadata, and available API’s. (3) External partners and researchers can discover EEMS capabilities and collaborate with EEMS partners.
DOI: 10.5281/zenodo.7873906
title: Social Programs Benefits Allocation and Elections: An Evidence from Bolsa Família

description: The database used in the paper.
DOI: 10.5281/zenodo.7873905
title: Social Programs Benefits Allocation and Elections: An Evidence from Bolsa Família

description: The database used in the paper.
DOI: 10.6084/m9.figshare.22714984
title: Matbench Discovery v0.2.0

description: A benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures
DOI: 10.6084/m9.figshare.22714984.v1
title: Matbench Discovery v0.2.0

description: A benchmark for machine learning energy models on inorganic crystal stability prediction from unrelaxed structures
DOI: 10.5439/1971434
title: aoscaps3w (00)

description: The cavity attenuated phase shift extinction monitor is an optical extinction spectrometer that measures aerosols, broadband scatterers and absorbers of light that interact with solar radiation and influence the Earth’s radiation balance. The CAPS PMex uses a visible-light-emitting diode (LED), a sampling cell incorporating two high-reflectivity mirrors centered at the wavelength of the LED, and a vacuum photodiode detector.
DOI: 10.5439/1971437
title: aopclap1flynn1m (s1)

description: aopclap1flynn1m
DOI: 10.5439/1971438
title: twrcamocean (a1)

description: twrcamocean
DOI: 10.5517/ccdc.csd.cc2byb5t
title: CCDC 2173136: Experimental Crystal Structure Determination

description: Related Article: Shinya Hayashi, Toshiki Murayama, Shuhei Kusumoto, Kyoko Nozaki|2022|Angew.Chem.,Int.Ed.|61|e202207760|doi:10.1002/anie.202207760
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.cc2byb6v
title: CCDC 2173137: Experimental Crystal Structure Determination

description: Related Article: Shinya Hayashi, Toshiki Murayama, Shuhei Kusumoto, Kyoko Nozaki|2022|Angew.Chem.,Int.Ed.|61|e202207760|doi:10.1002/anie.202207760
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.cc2dpnd5
title: CCDC 2225347: Experimental Crystal Structure Determination

description: Related Article: kang huimin|2022|CSD Communication|||
description: Related Article: Tianyong Zhang, Huimin Kang, Bin Li, Jin Zhou, Peisheng Zhao, Tianzhe Zhao, Xiaolei Li, Shuang Jiang|2023|J.Mater.Chem.C|11|5461|doi:10.1039/D2TC05349G
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.cc2dqt98
title: CCDC 2226460: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqtb9
title: CCDC 2226461: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqtcb
title: CCDC 2226462: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqtdc
title: CCDC 2226463: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqtfd
title: CCDC 2226464: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqtgf
title: CCDC 2226465: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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.cc2dqthg
title: CCDC 2226466: Experimental Crystal Structure Determination

description: Related Article: Leon Ohms, Liesa Eickhoff, Pascal Kramer, Alexander Villinger, Jonas Bresien, Axel Schulz|2023|Chem.Commun.|59|5245|doi:10.1039/D3CC01174G
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: 10.5519/qd.ff7gb9xq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (170 records)
DOI: 10.34740/kaggle/dsv/5544985
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.22714846.v1
title: Gas therapy potentiates aggregation-induced emission luminogen-based photoimmunotherapy of poorly immunogenic tumor through cGAS-STING pathway activation

description: Source data are provided with the article: <strong>Gas therapy potentiates aggregation-induced emission luminogen-based photoimmunotherapy of poorly immunogenic tumor through cGAS-STING pathway activation.</strong>
DOI: 10.6084/m9.figshare.22715029
title: Nectar microbes and fruit consumption by birds

description: This data set on nectar microbes was used in the study on Tsuji (2023).
DOI: 10.6084/m9.figshare.22715029.v1
title: Nectar microbes and fruit consumption by birds

description: This data set on nectar microbes was used in the study on Tsuji (2023).
DOI: 10.6084/m9.figshare.22715092.v1
title: HFSSM_code.zip

description: This is the code for the manuscript "Stream of Variation Modeling and Monitoring for Heterogeneous Profiles in Multi-Stage Manufacturing Processes"
DOI: 10.5281/zenodo.7402699
title: Supplementary Data for "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery".

description: Supplementary data tables for Ma et al. (2023) associated with the paper entitled "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery".
DOI: 10.5281/zenodo.7402698
title: Supplementary Data for "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery".

description: Supplementary data tables for Ma et al. (2023) associated with the paper entitled "The impetus for bloom of Mesozoic terrestrial ecosystems in northern China: Insights from volcanic nutrient and harmful element delivery".
DOI: 10.6084/m9.figshare.22715184
title: Additional file 1 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 1: Supplementary Table 1. A total of 1896 differentially expressed therapeutic response-related genes (TRRGs) in TCGA-HNSC.
DOI: 10.6084/m9.figshare.22715184.v1
title: Additional file 1 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 1: Supplementary Table 1. A total of 1896 differentially expressed therapeutic response-related genes (TRRGs) in TCGA-HNSC.
DOI: 10.6084/m9.figshare.22715187
title: Additional file 2 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 2: Supplementary Table 2. There were 206 differentially expressed TRRGs associated with OS.
DOI: 10.6084/m9.figshare.22715187.v1
title: Additional file 2 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 2: Supplementary Table 2. There were 206 differentially expressed TRRGs associated with OS.
DOI: 10.6084/m9.figshare.22715190
title: Additional file 3 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 3: Supplementary Table 3. Risk score for each HNSCC patients in TCGA-HNSC cohorts.
DOI: 10.6084/m9.figshare.22715190.v1
title: Additional file 3 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 3: Supplementary Table 3. Risk score for each HNSCC patients in TCGA-HNSC cohorts.
DOI: 10.6084/m9.figshare.22715193
title: Additional file 4 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 4: Supplementary Table 4. Risk score for each HNSCC patients in GSE65858 cohorts.
DOI: 10.6084/m9.figshare.22715196
title: Additional file 5 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 5: Supplemental Table 5. The clinical characteristic of HNSCC patientswho received radiotherapy in GSE67614 database.
DOI: 10.6084/m9.figshare.22715196.v1
title: Additional file 5 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 5: Supplemental Table 5. The clinical characteristic of HNSCC patientswho received radiotherapy in GSE67614 database.
DOI: 10.6084/m9.figshare.22715193.v1
title: Additional file 4 of Identification of an individualized therapy prognostic signature for head and neck squamous cell carcinoma

description: Additional file 4: Supplementary Table 4. Risk score for each HNSCC patients in GSE65858 cohorts.
DOI: 10.6084/m9.figshare.22715268
title: Additional file 7 of Reporting of flow diagrams in randomised controlled trials published in periodontology and implantology: a survey

description: Additional file 7. Raw data.
DOI: 10.6084/m9.figshare.22715268.v1
title: Additional file 7 of Reporting of flow diagrams in randomised controlled trials published in periodontology and implantology: a survey

description: Additional file 7. Raw data.