Paleointensity results from the Jurassic: New constraints from submarine basaltic glasses of ODP Site 801C (Dataset)
Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: Paleointensity results from the Jurassic: New constraints from submarine basaltic glasses of ODP Site 801C
more »
« less
- Award ID(s):
- 2126298
- PAR ID:
- 10558655
- Publisher / Repository:
- Magnetics Information Consortium (MagIC)
- Date Published:
- Subject(s) / Keyword(s):
- Extrusive Igneous Lava Flow Submarine Basaltic Glass 164400000 165000000 Years BP
- Format(s):
- Medium: X
- Location:
- (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0); (Latitude:19; Longitude:156.0)
- Right(s):
- Creative Commons Attribution 4.0 International
- Institution:
- Paleomagnetic Lab Scripps Institution Of Oceanography, UCSD, USA
- Sponsoring Org:
- National Science Foundation
More Like this
-
A probabilistic query may not be estimable from observed data corrupted by missing values if the data are not missing at random (MAR). It is therefore of theoretical interest and practical importance to determine in principle whether a probabilistic query is estimable from missing data or not when the data are not MAR. We present algorithms that systematically determine whether the joint probability distribution or a target marginal distribution is estimable from observed data with missing values, assuming that the data-generation model is represented as a Bayesian network, known as m-graphs, that not only encodes the dependencies among the variables but also explicitly portrays the mechanisms responsible for the missingness process. The results significantly advance the existing work.more » « less
-
The two-way exchange of water and properties such as heat and salinity as well as other suspended material between estuaries and the coastal ocean is important to regulating these marine habitats. This exchange can be challenging to measure. The Total Exchange Flow (TEF) method provides a way to organize the complexity of this exchange into distinct layers based on a given water property. This method has primarily been applied in numerical models that provide high resolution output in space and time. The goal here is to identify the minimum horizontal and vertical sampling resolutions needed to measure TEF depending on estuary type. Results from three realistic hydrodynamic models were investigated. These models included three estuary types: bay (San Diego Bay: data/SDB_*.mat files), salt-wedge (Columbia River: data/CR_*.mat files), and fjord (Salish Sea: data/SJF_*.mat files). The models were sampled using three different mooring strategies, varying the number of mooring locations and sample depths with each method. This repository includes the Matlab code for repeating these sampling methods and TEF calculations using the data from the three estuary models listed above.more » « less
-
These data include diatom composition information from a fixed sampling site in Narragansett, Bay, RI, USA over six years between dates 2008-12-09 and 2014-12-30. Sampling occurred monthly from 2008 to 2013 and twice per month in 2014. Diatom composition data, in the form of amplicon sequencing variants, were obtained via high throughput sequencing of filtered biomass samples. Diatoms are important contributors to marine primary production; however, their vast diversity makes species-level identification challenging. This dataset, collected over many years, includes diatom composition data at a more detailed level than ever before observed in Narragansett Bay and highlights the importance of time series for understanding phytoplankton dynamics in coastal systems. These data were collected by various students over the years with supervision from Dr. Tatiana Rynearson of URI's Graduate School of Oceanography. Diana Fontaine processed these data and together, Dr. Rynearson and her student Ms. Fontaine published their results in Limnology and Oceanography.more » « less
-
X-ray crystallography has been invaluable in delivering structural information about proteins. Previously, an approach has been developed that allows high-quality X-ray diffraction data to be obtained from protein crystals at and above room temperature. Here, this previous work is built on and extended by showing that high-quality anomalous signal can be obtained from single protein crystals using diffraction data collected at 220 K up to physiological temperatures. The anomalous signal can be used to directly determine the structure of a protein,i.e.to phase the data, as is routinely performed under cryoconditions. This ability is demonstrated by obtaining diffraction data from model lysozyme, thaumatin and proteinase K crystals, the anomalous signal from which allowed their structures to be solved experimentally at 7.1 keV X-ray energy and at room temperature with relatively low data redundancy. It is also demonstrated that the anomalous signal from diffraction data obtained at 310 K (37°C) can be used to solve the structure of proteinase K and to identify ordered ions. The method provides useful anomalous signal at temperatures down to 220 K, resulting in an extended crystal lifetime and increased data redundancy. Finally, we show that useful anomalous signal can be obtained at room temperature using X-rays of 12 keV energy as typically used for routine data collection, allowing this type of experiment to be carried out at widely accessible synchrotron beamline energies and enabling the simultaneous extraction of high-resolution data and anomalous signal. With the recent emphasis on obtaining conformational ensemble information for proteins, the high resolution of the data allows such ensembles to be built, while the anomalous signal allows the structure to be experimentally solved, ions to be identified, and water molecules and ions to be differentiated. Because bound metal-, phosphorus- and sulfur-containing ions all have anomalous signal, obtaining anomalous signal across temperatures and up to physiological temperatures will provide a more complete description of protein conformational ensembles, function and energetics.more » « less
An official website of the United States government
