Microbiological risk information list
| Summary | It is a unified list of domestic and overseas information which is the criteria for judging the risk / hazard of microorganisms (bacteria, fungi). It is possible to retrieve information such as the biosafety level (BSL) classification of each microorganism and the application of domestic laws and regulations from the scientific name (including old name and heterogeneous name). In addition to the Web version, downloadable Excel version is installed. |
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| Data type | Microbiological risk |
Microorganism database system
| Summary | This database allows users to search microorganisms and to see the various biological information. This database is available only in Japanese. |
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| Data type | Journal old species name (if any), philogenetic position, type strain, isolation origin, chemical components as chemical taxonomic index, substrate availability, energy gain type, accession number of 16S rDNA to DDBJ/EMBL/GenBank and so on. |
MS-MS Fragment Viewer
| Summary | 'MS-MS Fragment Viewer' is a database for metabolomics which consists of the FT-MS, IT- and FT-MS/MS spectral data with predicted structures of fragment ion observed in LC-FT/ICR-MS analysis (cited from original site). |
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| Data type | Chemical compound , mass spectra |
Multi-view Fractal DataBase
| Summary | Multi-view image recognition is one of the solutions in order to avoid leaving weak viewpoints in robotics applications such as object manipulation, mobile robot services, and navigation robots. For example, a mobile robot in a home must judge an object category and the posture with a given image for household chores. The paper proposes a method for automatic multi-view dataset construction based on formula-driven supervised learning (FDSL). Although a data collection and human annotation of 3D objects are de nitely labor-intensive, we simultaneously and automatically generate 3D models,multi-view images, and their training labels in the proposed multi-view dataset. In order to create a large-scale multi-view dataset, we employ fractal geometry, which is considered the background information of many objects in the real world. It is expected that this background knowledge of the real world would allow convolutional neural networks (CNN) to acquire a better represen- tation in terms of any-view image recognition. We project in a circle from the rendered 3D fractal models to construct the Multi-view Fractal DataBase (MV- FractalDB), which is then used to make a pre-trained CNN model for improving the problem of multi-view image recognition. Since the dataset construction is automatic, the use of our MV-FractalDB does not require any 3D model de nition or additional manual annotations in the pre-training phase. According to the experimental results, the MV-FractalDB pre-trained model surpasses the accuracies with self- supervised methods (e.g., SimCLR and MoCo) and is close to supervised methods (e.g., ImageNet pre- trained model) in terms of performance rates on multi-view image datasets. Also, it was con rmed that MV-FractalDB pre-trained model has better convergence speed than the ImageNet pre-trained model on ModelNet40 dataset. Moreover, we demonstrate the potential for multi-view image recognition with FDSL. |
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| Data type | Picture |
Natural compound library
| Summary | Natural compounds produced by microorganisms possess abundant biological activities and diverse structures. It has great appeal as a new drug candidate compound. In addition, it can be said that natural chemical chemistry is unique to Japan. In order for each pharmaceutical company to cooperate to promote drug discovery research with natural products, companies holding excellent natural product libraries gathered and established the next generation natural chemical technology research association in 2011. We will store and manage unified libraries of natural products independently developed by each company and promote mutual use by other partner companies and academia. By mutual use of this natural product library, each company can maximize the utilization of the library possessed. Both library providers and users benefit. As a result, many drug candidate compounds are discovered and are expected to contribute to the development of natural drug discovery in Japan. |
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| Data type | Chemical Substance | Product of nature |
NBRC (Biological Resource Center, NITE)
| Summary | NBRC (NITE Biological Resource Center) collects and stores about 90,000 shares of filamentous fungi, yeast, bacteria, actinomyces, microalgae, etc. as a biological resource center, We offer it for a wide range of applications from research to industrial use. |
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| Data type | Data |
NBRC culture catalogue search
| Summary | Microorganisms (15,400 clones) held by NBRC of NITE can be searched. There are four ways to search, the first is NBRC number, the second is keyword, the third is scientific name or numberof other institutions, and last is homology search. The results can provide the scientific name, history, agency numbers, culture conditions and the paper information. In addition, prokaryotic (16SrDNA) and eukaryotic (28rDNA) for the registration of the sequence to confirm the identity resources search from the search sequence information. (Own translation) |
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| Data type | DNA-sequence |
Network Database System for Thermophysical Property Data
| Summary | So far, a plenty of material / matter databases have been developed, but those databases are so called databases. In those databases, it was general that only one organization that played a roll as a data center collects, deals with all transaction to register, to administrate, to supply data. The other hand, NMIJ (National Metrology Institute of Japan) suggests a concept of "Network Database System for Thermophysical Property Data", in which each institute that supplies data is responsible for its own thermophysical property database continuously and user can access to each database by one client interface "InetDBGV" through internet. And NMIJ has been developing the database that unifies each database and holds thermophysical properties like thermal conductivity, thermal diffusivity, specific heat, emissivity and so on. This is based on the research achievements of "Research on Prototype Thermophysical Property Database System", one of the task of "Research on Measurement Technology and Reference Materials for Thermophysical Properties of Solids" which was supported by the Special Coordination Funds from Science and Technology Agency (Special Coordination Funds for Promoting Science and Technology) during 5 years from 1997 to 2001. |
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| Data type | Chemical Substance | Thermophysical property |
NITE-CHRIP
| Summary | CHRIP has been developed as part of the "Foundation of Safety Management Infrastructure for Chemical Substances" based on "The Intellectual Infrastructure Installation Project" of METI. You can search the comprehensive information on a target chemical substance (information on hazardous property/hazard assessments or regulations, etc.) by entering its number or name as a keyword |
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| Data type | Chemical compound chemical substance |
Nucleic Acid Drug Database
| Summary | DB is focused on nucleic acid drugs known as biopharmaceuticals and displayed approval drugs and information on three phases of clinical trial stage. |
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| Data type | Nucleic acid drug |