scholarly journals Long-term data storage in diamond

2016 ◽  
Vol 2 (10) ◽  
pp. e1600911 ◽  
Author(s):  
Siddharth Dhomkar ◽  
Jacob Henshaw ◽  
Harishankar Jayakumar ◽  
Carlos A. Meriles
Keyword(s):  
Charge State ◽  
Data Storage ◽  
Storage Capacity ◽  
Quantum Information Processing ◽  
Super Resolution ◽  
Nitrogen Vacancy ◽  
Three Dimensions ◽  
Long Term Storage ◽  
Digital Video Disk

The negatively charged nitrogen vacancy (NV−) center in diamond is the focus of widespread attention for applications ranging from quantum information processing to nanoscale metrology. Although most work so far has focused on the NV− optical and spin properties, control of the charge state promises complementary opportunities. One intriguing possibility is the long-term storage of information, a notion we hereby introduce using NV-rich, type 1b diamond. As a proof of principle, we use multicolor optical microscopy to read, write, and reset arbitrary data sets with two-dimensional (2D) binary bit density comparable to present digital-video-disk (DVD) technology. Leveraging on the singular dynamics of NV− ionization, we encode information on different planes of the diamond crystal with no cross-talk, hence extending the storage capacity to three dimensions. Furthermore, we correlate the center’s charge state and the nuclear spin polarization of the nitrogen host and show that the latter is robust to a cycle of NV− ionization and recharge. In combination with super-resolution microscopy techniques, these observations provide a route toward subdiffraction NV charge control, a regime where the storage capacity could exceed present technologies.

scholarly journals Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 227 ◽  
Author(s):  
Scott Gigante
Keyword(s):  
Data Storage ◽  
Data Generation ◽  
Biologically Relevant ◽  
Sequencing Technologies ◽  
Long Term Storage ◽  
Oxford Nanopore ◽  
Long Read ◽  
Oxford Nanopore Technologies ◽  
Term Storage

Oxford Nanopore Technologies' (ONT's) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created a significant problem both for immediate data storage on MinION-capable laptops, and for long-term storage on lab data servers. We developed Picopore, a software suite offering three methods of compression. Picopore's lossless and deep lossless methods provide a 25% and 44% average reduction in size, respectively, without removing any data from the files. Picopore's raw method provides an 88% average reduction in size, while retaining biologically relevant data for the end-user. All methods have the capacity to run in real-time in parallel to a sequencing run, reducing demand for both immediate and long-term storage space.

Evaluation of a Model-driven Knowledge Storage and Retrieval IDE for Interactive HRI Systems

2019 ◽  
Vol 13 (02) ◽  
pp. 207-227 ◽  
Author(s):  
Norman Köster ◽  
Sebastian Wrede ◽  
Philipp Cimiano
Keyword(s):  
Data Storage ◽  
User Study ◽  
Query Language ◽  
Storage System ◽  
Human Robot Interaction ◽  
Storage And Retrieval ◽  
Model Driven ◽  
Long Term Storage ◽  
Model Driven Software Development

Efficient storage and querying of long-term human–robot interaction data requires application developers to have an in-depth understanding of the involved domains. Creating syntactically and semantically correct queries in the development process is an error prone task which can immensely impact the interaction experience of humans with robots and artificial agents. To address this issue, we present and evaluate a model-driven software development approach to create a long-term storage system to be used in highly interactive HRI scenarios. We created multiple domain-specific languages that allow us to model the domain and seamlessly embed its concepts into a query language. Along with corresponding model-to-model and model-to-text transformations, we generate a fully integrated workbench facilitating data storage and retrieval. It supports developers in the query design process and allows in-tool query execution without the need to have prior in-depth knowledge of the domain. We evaluated our work in an extensive user study and can show that the generated tool yields multiple advantages compared to the usual query design approach.

Long-term room temperature storage of DNA molecules

Biomics ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 552-563
Author(s):  
R.R. Garafutdinov ◽  
A.R. Sakhabutdinova ◽  
A.V. Chemeris
Keyword(s):  
Data Storage ◽  
Room Temperature ◽  
Biological Data ◽  
Dna Molecules ◽  
Freezing And Thawing ◽  
Long Term Storage ◽  
Wide Range ◽  
Frozen Solutions ◽  
Term Storage

The simplest and most common method of long-term storage of DNA samples at present is the storage of their frozen solutions, which, however, has a number of disadvantages, including the destruction of DNA molecules during freezing and thawing, as well as energy consumption and the likelihood of losing valuable samples in the event of possible accidents. In this regard, long-term storage of DNA samples at room temperature in a dried state is preferable, especially since an even greater increase in the number of stored DNA samples is planned due to the planned preservation of non-biological data in this molecule, which is recognized at the International Economic Forum 2019 among the 10 most important innovative technologies as “DNA Data Storage” of the near future of mankind. Such storage requires the exclusion of hydrolysis and oxidation of DNA molecules under the action of water and reactive oxygen species, which can be achieved by placing DNA in an inert anhydrous atmosphere, including in the presence of additional ingredients in the form of, for example, trehalose, imitating wildlife, since it is known that this simple disaccharide, capable of vitrification, protects a wide range of anhydrobiont organisms from adverse environmental conditions. Currently, there are a number of technologies that provide long-term storage of DNA at room temperature, including those available from commercial sources, but not all problems have yet been solved, which is reflected in this review article.

Long-term medical data storage: challenges with test results obtained by direct-to-consumer testing

2018 ◽  
Vol 42 (6) ◽  
pp. 235-242
Author(s):  
Matthias Orth ◽  
Frank Bühling ◽  
Georg Hoffmann
Keyword(s):  
Data Storage ◽  
High Volume ◽  
Gray Zone ◽  
Test Results ◽  
Direct To Consumer ◽  
Long Term Storage ◽  
Consumer Testing ◽  
Term Storage ◽  
Term Data

AbstractThe term “direct-to-consumer testing” (DTCT) describes all kinds of laboratory testing performed without the inclusion of a laboratory professional. It is thus performed in a gray zone between healthcare and consumers. The high volume of DTCT data as well as the ostensible feasibility of long-term data storage challenge medical professionals and consumers. No standards have been developed so far for the long-term storage of DTCT data. Unlike tests used in traditional laboratory medicine, many DTCT tests lack medical usefulness. This article describes the current concepts of DTCT and gives recommendations for the long-term data storage of DTCT data depending on the purpose of DTCT, the volume of data obtained and the possible medical implications of the test results.

Preparation of Nano-Composite Ca2−αZnα(OH)4 with High Thermal Storage Capacity and Improved Recovery of Stored Heat Energy

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
M. Zheng ◽  
S.M. Sun ◽  
J. Hu ◽  
Y. Zhao ◽  
L. J. Yu
Keyword(s):  
Room Temperature ◽  
Storage Capacity ◽  
Waste Heat ◽  
Heat Energy ◽  
Industrial Processes ◽  
Energy Sources ◽  
Nano Composite ◽  
Long Term Storage ◽  
Term Storage

AbstractThermal energy storage has very important prospects in many applications related to the use of renewable energies (solar energy, etc.) or other energy sources, such as waste heat from industrial processes. Thermochemical storage is very attractive for long-term storage, since it could be conducted at room temperature without energy losses. In the present paper, a novel nanocomposite material, Ca

scholarly journals Design and Implementation of the first Generic Archive Storage Service for Research Data in Germany

2020 ◽  
Vol 15 (1) ◽  
pp. 15
Author(s):  
Felix Bach ◽  
Björn Schembera ◽  
Jos Van Wezel
Keyword(s):  
Data Storage ◽  
High Performance ◽  
Identity Management ◽  
Storage System ◽  
Cost Effective ◽  
Research Data ◽  
Data Accessibility ◽  
Data Movement ◽  
Long Term Storage

Research data as the true valuable good in science must be saved and subsequently kept findable, accessible and reusable for reasons of proper scientific conduct for a time span of several years. However, managing long-term storage of research data is a burden for institutes and researchers. Because of the sheer size and the required retention time apt storage providers are hard to find. Aiming to solve this puzzle, the bwDataArchive project started development of a long-term research data archive that is reliable, cost effective and able store multiple petabytes of data. The hardware consists of data storage on magnetic tape, interfaced with disk caches and nodes for data movement and access. On the software side, the High Performance Storage System (HPSS) was chosen for its proven ability to reliably store huge amounts of data. However, the implementation of bwDataArchive is not dependant on HPSS. For authentication the bwDataArchive is integrated into the federated identity management for educational institutions in the State of Baden-Württemberg in Germany. The archive features data protection by means of a dual copy at two distinct locations on different tape technologies, data accessibility by common storage protocols, data retention assurance for more than ten years, data preservation with checksums, and data management capabilities supported by a flexible directory structure allowing sharing and publication. As of September 2019, the bwDataArchive holds over 9 PB and 90 million files and sees a constant increase in usage and users from many communities.

Blu-Ray Media Stability and Suitability for Long-Term Storage

2018 ◽  
Vol 39 (2) ◽  
pp. 129-155
Author(s):  
Joe Iraci
Keyword(s):  
Storage Capacity ◽  
Error Rates ◽  
Accelerated Ageing ◽  
Initial Error ◽  
Optical Disc ◽  
Long Term Storage ◽  
Attractive Option ◽  
The Stability ◽  
Term Storage

Abstract The most recent generation of optical disc media available is the Blu-ray format. Blu-rays offer significantly more storage capacity than compact discs (CDs) and digital versatile discs (DVDs) and thus are an attractive option for the storage of large image or audio and video files. However, uncertainty exists on the stability and longevity of Blu-ray discs and the literature does not contain much information on these topics. In this study, the stabilities of Blu-ray formats such as read-only movie discs as well as many different brands of recordable and erasable media were evaluated. Testing involved the exposure of samples to conditions of 80 °C and 85 % relative humidity for intervals up to 84 days. Overall, the stability of the Blu-ray formats was poor with many discs significantly degraded after only 21 days of accelerated ageing. In addition to large increases in error rates, many discs showed easily identifiable visible degradation in several different forms. In a comparison with other optical disc formats examined previously, Blu-ray stability ranked very low. Other data from the study indicated that recording Blu-ray media with low initial error rates is challenging for some brands at this time, which is a factor that ultimately affects longevity.

scholarly journals Picopore: A tool for reducing the storage size of Oxford Nanopore Technologies datasets without loss of functionality

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 227 ◽  
Author(s):  
Scott Gigante
Keyword(s):  
Data Storage ◽  
Data Generation ◽  
Biologically Relevant ◽  
Sequencing Technologies ◽  
Long Term Storage ◽  
Oxford Nanopore ◽  
Long Read ◽  
Oxford Nanopore Technologies ◽  
Term Storage

Oxford Nanopore Technologies' (ONT) MinION and PromethION long-read sequencing technologies are emerging as genuine alternatives to established Next-Generation Sequencing technologies. A combination of the highly redundant file format and a rapid increase in data generation have created a significant problem both for immediate data storage on MinION-capable laptops, and for long-term storage on lab data servers.  We developed Picopore, a software suite offering three methods of compression. Picopore's lossless and deep lossless methods provide a 25% and 44% average reduction in size, respectively, without removing any data from the files. Picopore's raw method provides an 88% average reduction in size, while retaining biologically relevant data for the end-user. All methods have the capacity to run in real-time in parallel to a sequencing run, reducing demand for both immediate and long-term storage space.

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