Re: Psp Japanese Release Roms 13
Christal Rasband
Is there an easy way / a program to search any of my rom folders for missing roms for a specific system?
What I would like to found out, for example, is if e.g. my SNES collection is missing any officially released roms. I've tried using clrmamepro with the no-intro DAT file (no Intro is the set I use), but it tells me that I have "0" known games, which is obviously not true.
What I'm aiming at is a collection consisting of US releases --> European exclusives --> Japanese exclusives --> (random other regional exclusives). I also only want the latest revisions of any given rom. Since I did all the sorting manually, I'm sure I made some mistakes alog the way. That's why I'd like to check.
So if anyone knows of an easy to use way to do what I want, please telle me =).
Using an XML file you can use Dan's hyperspin tools to search a rom directory and it will match all the roms to the names in the xml file, then you can manually match whatever it couldn't scrape on it's own within the program. Then the program will export all the newly named roms to a new folder for you. Only downside is i think (not 100% sure) you need hyperspin installed to use Dan's hyperspin tools kuz they need to be in the hyperspin folder to open for some reason. Also it only uses xml files so if you cant find the full game list in xml format you wont be able to use this program
Thank you for this tipp, however, I really don't want to rename all of my roms, since I've already importet them into Launchbox and I have save files within retroarch which match the exact rom names. I think it would be great if a tool scanned for something like file size to identify roms, but I guess something like this doesn't exist.
This is the answer. However, be aware that Hyperspin lists are not "complete". They give you the complete US rom set plus European exclusives plus Japanese exclusives that have been translated or can be played without needing to know Japanese. It will only contain the same game twice if for example, there are significant differences between the US version and the European/Japanese version. This way you get a complete collection of the games that are playable with no duplicates. There are a few exceptions like the NEC PC-FX where the whole collection is Japanese or systems that did not not make it to the West. Hyperspin lists will also contain homebrews and unreleased games. I personally don't like that but they are easy to remove.
Unfortunately, Hyperspin lists are the best thing we have at the moment and given the amount of work people put into them over the years, i would say they are quite reliable. It would be nice if launchbox would implement a database that could be checked against.
not to go too off topic but... my ideal situation would be to have a built in checker similar to rocketlauncher where it lists what you have against a complete list. if only there was a reputable site that kept list for complete retail sets per system, but I dont think that will ever be a thing
Also I'm not demanding anything, the current way is fine for now
In the last decade, many ocean forecast systems that include some sort of data assimilation method have been developed to nowcast and forecast ocean states with a particular focus on mesoscale variability; these include HYCOM/NCODA [1] , Mercator [2] , FOAM [3] , MOVE/MRI.COM [4] , JCOPE2 [5] , and so on. Progress in this area is attributable primarily to the Global Ocean Data Assimilation Experiment project, which, crucially, supports near-real-time collection, processing, and management of oceanographic data [6] [7] . In addition, several state-of-the-art community ocean models, which can be coupled with data assimilation schemes, have been developed as open-source code (e.g., ROMS [8] and ECCO [9] ) and have contributed to making ocean nowcasting and forecasting relatively easy. Consequently, physical oceanographic studies have made rapid progress in the areas of ocean dynamics and predictability.
In recent years, there has also been an intensive demand for assimilated model products in fisheries science. These products have been applied from both Eulerian and Lagrangian viewpoints to fisheries science with various aims. Assimilated data have been analyzed instead of observed data to clarify the linkage between fish abundance and oceanographic conditions [18] , and they have been used for stock management applications [19] . Survival, growth, migration, and recruitment of important commercial fish have been examined by using particle-tracking models and individual-based models (IBMs) with assimilated oceanographic conditions (e.g., [20] [21] [22] [23] ). Several studies have developed high-resolution nested ocean models with data assimilation products (e.g., [24] ) in an effort to understand and predict the sudden occurrence of harmful marine organisms such as jellyfish, toxic algae, and viruses. Potential fishing areas have also been identified by examining statistical relationships between fish habitats and simulated oceanographic conditions (e.g., Habitat Suitability Index (HSI) [25] [26] ). Additionally, the spatio-temporal variability of nutrients and plankton, which is associated with food availability for fish, has been simulated by an ocean forecast system coupled with a lower-trophic-level ecosystem model (e.g., [27] [28] ).
The Japanese Islands are located in the Kuroshio-Oyashio western boundary current region, where mesoscale variations are prominent (Figure 1(a)). In addition, the islands are characterized by a narrow continental shelf (typically less than 50 km wide),
with the result that mesoscale variations intermittently affect coastal waters through interactions with submesoscale variations [29] [30] . Moreover, mesoscale variability in the Kuroshio-Oyashio region is a key issue for Japanese fisheries and fisheries science, because many pelagic fish, which are important targets of Japanese fisheries, extensively use the Kuroshio-Oyashio region as spawning and nursery grounds. Among these are the Japanese sardine (Sardinops melanostictus) [31] , Japanese anchovy (Engraulis japonicus) [32] , Pacific saury (Cololabis sairai) [33] , Japanese chub mackerel (Scomber japonicus) [34] , Japanese common squid (Todarodes pacificus) [35] , and various other species [36] [37] . For example, Japanese sardine adults migrate southward from the Oyashio to the Kuroshio region for spawning. During winter and spring, eggs, larvae, and juveniles are transported eastward by the Kuroshio, the Kuroshio Extension, or related mesoscale flows, and then juveniles migrate northward to the Oyashio nursery region via the Kuroshio-Oyashio transition zone [38] [39] . Japanese fisheries capture sardine larvae and juveniles in the Kuroshio region during the passive transport period, and they capture adults mainly in the Oyashio region during the nursery and migration period. Hence, an exhaustive dataset across the Kuroshio-Oyashio region is required to study relationships between oceanographic conditions and individual life stages of even this single pelagic fish.
The mission of our organization, the Japan Fisheries Research and Education Agency (FRA), which is one of the National Research and Development Agencies of Japan, is to conduct a wide range of research and development activities related to fisheries and to address many fisheries problems through basic research and practical applications. To respond to the demands of multiple research projects on fisheries oceanography, management, and economics, FRA oceanographers have had to prepare an operational ocean forecast system to create a basic and versatile oceanographic dataset. Such an ocean forecast system had been also expected to extensively enable Japanese prefectural fisheries institutes as well as FRA to systematically conduct many kinds of fishery researches and establish many practical applications, which contribute significantly to sustainable fishery and safety of fishery products around Japan. Although the Japanese Oceanographic Society has several operational ocean forecast systems, including MOVE (Multivariate Ocean Variational Estimation) [4] , JCOPE2 [5] , and DREAMS [40] , none of these forecast systems is specialized to fisheries science. Therefore, the FRA has developed an ocean forecast system based on the Regional Ocean Modeling System (ROMS) [41] and specialized to fisheries science called FRA-ROMS. Here, some readers may question why and how FRA-ROMS is specialized for fisheries science. These questions are addressed in Section 4, where ongoing community efforts of the FRA are introduced.
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