cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/fb736aab1e23e12bfa03d116b2cb7fc7
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Urchin size frequency distribution

description: These data describe the size frequency distribution of red (Mesocentrotus franciscanus) and purple (Strongylocentrotus purpuratus) sea urchins within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. The diameter of the test (shell without spines) was recorded to the nearest 0.5 cm for 50 red and 50 purple sea urchins located within a 40 m x 2 m area of each plot. Size frequency data of red and purple sea urchins are not collected in the continual kelp removal plots. When combined with size-mass relationships established in the laboratory these data were used to provide a non-destructive, in situ estimate of the dry mass per unit area of bottom for each species. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal.
DOI: 10.6084/m9.figshare.23978547
title: Enamine_screen_CYP3A4_EGFR_IGF1R

description: Docking scores to CYP3A4, EGFR, and IGF1R for the Enamine screening collection of over 4 million molecules (downloaded June 2023). Docking was performed using dockstring.<br>
DOI: 10.6084/m9.figshare.23978547.v2
title: Enamine_screen_CYP3A4_EGFR_IGF1R

description: Docking scores to CYP3A4, EGFR, and IGF1R for the Enamine screening collection of over 4 million molecules (downloaded June 2023). Docking was performed using dockstring.<br>
DOI: 10.6084/m9.figshare.23978547.v1
title: Enamine_screen_CYP3A4_EGFR_IGF1R.zip

description: Docking scores to CYP3A4, EGFR, and IGF1R for the Enamine screening collection of over 4 million molecules (downloaded June 2023). Docking was performed using dockstring.<br>
DOI: 10.6073/pasta/501211cf185b745882871e0e5c82758c
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Detritus biomass

description: These data describe the abundance of macroalgal detritus (grams wet mass m-2) within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. Detritus was collected in six permanent 1 m2 quadrats positioned uniformly along 40 m transects in each sampling plot. Macroalgal detritus is not collected in plots of the continual kelp removal treatment. Sample collections were brought back to the laboratory, identified to species and weighed wet. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal.
DOI: 10.5281/zenodo.8319588
title: Anomaly Detection dataset for the fuselage of an aircraft

description: If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the fuselage of an aircraft manufacturing company. We captured the data on the mockup of the fuselage with several iterations at different distances away from the mockup. The dataset is basically the scans of mockup from top to bottom with and without anomalies. The dataset has been segregated into two panels. Contents of <em><strong> AircraftFuselageMockupDataset.zip </strong></em> Nomal_panel1 Nomal_panel2 Anomaly_panel1 Anomaly_panel2 Every folder has data at 3 distances 15cm, 25cm, 35cm. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>
DOI: 10.5281/zenodo.8319589
title: Anomaly Detection dataset for the fuselage of an aircraft

description: If you use the dataset, please cite: <em>Siddhant Shete, Dennis Mronga</em> <strong>"Adaptive Online Anomaly Detection using Transfer Learning"</strong> About the dataset: The dataset is basically used for anomaly detection in the fuselage of an aircraft manufacturing company. We captured the data on the mockup of the fuselage with several iterations at different distances away from the mockup. The dataset is basically the scans of mockup from top to bottom with and without anomalies. The dataset has been segregated into two panels. Contents of <em><strong> AircraftFuselageMockupDataset.zip </strong></em> Nomal_panel1 Nomal_panel2 Anomaly_panel1 Anomaly_panel2 Every folder has data at 3 distances 15cm, 25cm, 35cm. <em>This dataset is provided by the Robotics Innivation Center, DFKI GmbH.</em> <em>The grant was provided by Federal Ministry for Economic Affairs and Climate Action </em> <em>Grant number: 20W1922F</em>
DOI: 10.6084/m9.figshare.24085110.v6
title: Raw seismic reflection data from Orca Volcano, Bransfield Strait, Antarctica

description: Raw seismic data from Orca Volcano, Bransfield Strait, acquired onboard the Spanish vessel Sarmiento de Gamboa in the framework of the BRAVOSEIS PROJECT.
DOI: 10.6073/pasta/a5f923854d8e5a760f3c710d8412ecaa
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Abundance and size of Giant Kelp

description: These data describe the abundance and size of giant kelp (Macrocystis pyrifera) within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. The number of giant kelp &gt; 1 m tall were recorded within four contiguous 20 m x 1m permanent plots located within a 40 m x 2 m area. The number of fronds &gt; 1 m tall were counted for each individual and used as an estimate of its size. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal.
DOI: 10.6073/pasta/132990b4710c46672e4006ccde1d9228
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Fish abundance

description: These data describe the abundance and size of reef-associated fish within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. The number, size and species identity of reef fish were recorded within a 2 m wide swath centered along a 40 m long transect extending up to 2 m off the bottom. Fish size was measured as total length estimated to the nearest cm. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal.
DOI: 10.6073/pasta/6f8ea7bdac648b466fead4d21c3a99f1
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Cover of bottom substrate and sand depth

description: These data describe the percent cover of eight bottom substrate types within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. The type of bottom substrate was recorded at 80 uniformly spaced points along permanent 40m x 2m transects. Percent cover of each substrate type on transect was estimated as the proportion of the 80 points contacted by the substrate type x 100. In cases where the substrate type was sand the depth of the sand was measured. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal. The two tables in this data package include: 1) The percent cover of eight bottom substrate types; and 2) the sand depth of each sampling point (sand depth = 0 if substrate type is not sand)
DOI: 10.5281/zenodo.8304127
title: OAEBUDT Community Consultation Dataset January 2023 - July 2023

description: This work was made possible by the Mellon Foundation through the Advancing to Launch by Developing IDS Governance Building Blocks Grant, and by the 73 participants that contributed in anonymous online and in-person activities facilitated via Mentimeter during workshops, active sessions and presentations at conferences. Christina Drummond and Ursula Rabar designed and facilitated the processes that generated the input for this document. Ursula Rabar prepared this dataset.
DOI: 10.5281/zenodo.8304126
title: OAEBUDT Community Consultation Dataset January 2023 - July 2023

description: This work was made possible by the Mellon Foundation through the Advancing to Launch by Developing IDS Governance Building Blocks Grant, and by the 73 participants that contributed in anonymous online and in-person activities facilitated via Mentimeter during workshops, active sessions and presentations at conferences. Christina Drummond and Ursula Rabar designed and facilitated the processes that generated the input for this document. Ursula Rabar prepared this dataset.
DOI: 10.15139/s3/l0vtum
title: Characterization of Genomics and Metabolomics among Individuals Highly-Exposed, but resistant to Mtb Infection

description: Although tuberculosis (TB) has been curable and preventable for nearly 75 years, TB remains a major public health threat globally, as the world's leading infectious disease cause of death. Goals to "eliminate" TB by 2035 are unlikely to be achieved in this century with the currently available control strategies. Development of new therapeutic and prevention tools, such as a TB vaccine, is needed, but such efforts are hampered by insufficient understanding of the mechanisms of protection against Mycobacterium tuberculosis (Mtb) infection. Although a host genetic role in protection has long been postulated and family-based linkage studies have had promising results, no specific genes have yet been carefully characterized. Research efforts to date have been limited by challenges in defining clinical phenotypes of Mtb resistance, small sample sizes, and difficulty in measuring the degree of exposure to Mtb. With recent advances in high-throughput micro-array and sequencing technology, however, large-scale genetic studies are now possible. In the proposed study, we will enroll a cohort of 4,000 household contacts who have been recently exposed to active TB disease. We will identify contacts who remain uninfected, despite a well-characterized, high degree of exposure to a TB index case, and compare them with household contacts who become infected with Mtb. The study will take place in the high TB incidence settings of India and South Africa. In Aim 1, we will characterize a phenotype for resistance to Mtb infection using responses to both tuberculin skin test (TST) and interferon-gamma release assays (IGRA) in a cohort recently exposed to a culture-confirmed active TB index case. By integrating these TST and IGRA results with rigorous characterization of contacts' exposure to active TB index cases, we will be able to identify individuals who have resisted Mtb infection despite a high degree of exposure. In Aim 2, we will conduct a genome-wide association study (GWAS) to identify common and rare genetic variants associated with resistance to Mtb infection. We will also investigate the candidate SNPs in previously reported TB-related genetic loci. In Aim 3, we will leverage the emerging field of metabolomics to identify metabolic profiles that distinguish individuals resistant to Mtb infection. Identification of metabolic clusters associated with resistance will reveal cellular pathways involved in resisting or clearing Mtb infection, and will also enhance the GWAS findings by providing a functional output of the downstream effects of any genetic polymorphisms. This unbiased and integrated approach will provide an unprecedented opportunity to identify genes and pathways involved in resistance to Mtb infection, and understand the multi-layered molecular mechanisms underlying TB infection. Our research team has more than a decade of experience conducting TB, household contact, genomics and metabolomics studies that will allow us to achieve the innovative scientific aims of this study.
DOI: 10.6084/m9.figshare.24085110.v7
title: Raw seismic reflection data from Orca Volcano, Bransfield Strait, Antarctica

description: Raw seismic data from Orca Volcano, Bransfield Strait, acquired onboard the Spanish vessel Sarmiento de Gamboa in the framework of the BRAVOSEIS PROJECT.
DOI: 10.6073/pasta/d6a2633a66c0a79d69be8894f03e22cd
title: SBC LTER: Reef: Long-term experiment: Kelp removal: Invertebrate and algal density

description: These data describe the abundance of common reef associated species of macro invertebrates and macroalgae within permanent plots of a long-term experiment designed to examine trajectories of change in the structure and productivity of kelp forest communities in response to changes in the frequency and severity of disturbance to giant kelp. The number of individuals of approximately 50 taxa were recorded by divers along 40 m transects within each plot. Small species of macroalgae and macinvertebrates were counted within six permanent 1 m2 quadrats positioned uniformly along the 40 m transect, while larger species were counted within four contiguous 20 m2 sub-sections of each 40 m x 2 m transect. Also included at the quadrat scale are estimates of an average size-related measurement of each species, which was developed specifically for each species for the purpose of estimating its biomass. The experiment was initiated in 2008 at five reef sites along the mainland coast of the Santa Barbara Channel and included an annual kelp removal treatment designed to simulate increases in the frequency and severity of winter wave disturbance and a continual kelp removal treatment that allowed the effects of giant kelp on the community to be evaluated. The last experimental removals of giant kelp occurred in winter 2016 or winter 2017, depending on the site. Data collection continued in all plots until spring 2023 to document the recovery trajectory of the reef fish community following the cessation of experimental kelp removal.
DOI: 10.5517/ccdc.csd.cc2fxvqy
title: CCDC 2262061: Experimental Crystal Structure Determination

description: Related Article: Yaoyao Cao, Ying Xu, Honglei Shen, Peiyao Pan, Xuejuan Zou, Xi Kang, Manzhou Zhu|2023|Nanoscale|15|13784|doi:10.1039/D3NR03288D
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.cc2fz2dx
title: CCDC 2263229: Experimental Crystal Structure Determination

description: Related Article: Ping Lu|2023|CSD Communication|||
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.cc2fz2fy
title: CCDC 2263230: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2gz
title: CCDC 2263231: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2h0
title: CCDC 2263232: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2j1
title: CCDC 2263233: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2k2
title: CCDC 2263234: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2l3
title: CCDC 2263235: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fz2m4
title: CCDC 2263236: Experimental Crystal Structure Determination

description: Related Article: Ping Lu, Licheng Lu|2023|CSD Communication|||
description: Related Article: Licheng Lu, Ping Lu|2023|Chemical Science|14|8355|doi:10.1039/D3SC02485G
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.cc2fzb1t
title: CCDC 2263466: Experimental Crystal Structure Determination

description: Related Article: Dipendu Mandal, Zheng-Wang Qu, Stefan Grimme, Douglas W. Stephan|2023|Chem.Commun.|59|10508|doi:10.1039/D3CC02684A
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.cc2fzckc
title: CCDC 2263513: Experimental Crystal Structure Determination

description: Related Article: bai heyuan|2023|CSD Communication|||
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.cc2fzqx2
title: CCDC 2263865: Experimental Crystal Structure Determination

description: Related Article: Pritishree Panigrahi, Subhendu Ghosh, Tamanna Khandelia, Raju Mandal, Bhisma K. Patel|2023|Chem.Commun.|59|10536|doi:10.1039/D3CC02996D
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.