Saitama Heart Database Atrial Fibrillation (SHDB-AF) is a novel open-sourced Holter ECG database from Japan, containing data from 122 unique subjects with paroxysmal atrial fibrillation. Among the 128 recordings, 98 contain raw ECG data with rhythm annotations at the beat level, manually performed by a cardiology fellow. The remaining recordings consist only of ECG traces without annotations. The dataset was collected as part of a study evaluating the generalization performance of a deep learning atrial fibrillation event detection model across different distribution shifts.

This is a dataset of Japanese semi-natural grassland flora, compiled from previously published studies. This database is useful as a basis for the analysis of changes in the flora of Japanese grasslands as well as for future monitoring. This dataset is published as a data paper in Ecological Research (see https://doi.org/10.1111/1440-1703.12388).

A large comprehensive database of Chinese-Japanese personal and place names, with coverage of not only native Chinese proper nouns, but also Korean and Western proper nouns as well.

Our Japanese Orthographical Database (JOD) plays a critical role in enhancing the accuracy of information retrieval, machine translation and morphological analysis applications as it helps identify and disambiguate the numerous Japanese orthographic variants that have identical meanings.

A large-scale database of Japanese place names and POIs in Simplified Chinese, Japanese, Korean and English languages.

Comprehensive dataset of 53 Japanese language instructors in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

No description was included in this Dataset collected from the OSF

The Japanese Kids Speech database (Upper Grade) contains the total recordings of 232 Japanese Kids speakers (104 males and 128 females), from 9 to 13 years’ old (fourth, fifth and sixth graders in elementary school), recorded in quiet rooms using smartphones. This database may be combined with the Japanese Kids Speech database (Lower Grade) also available in the ELRA Catalogue under reference ELRA-S0411.

Number of speakers, utterances and duration, age are as follows :

Number of speakers 232 (104 male/128 female)

Number of utterances (average): 385 utterances per speaker

Total number of utterances: 89,454

Age: from 9 to 13 years' old

Total hours of data: 145.4

1018 sentences were used. Recordings were made through smartphones and audio data stored in .wav files as sequences of 16KHz Mono, 16 bits, Linear PCM.

Database:

・Audio data: WAV format, 16KHz, 16bit, mono (recorded with smartphone)

・Recording scripts: TSV format(tab-delimited), UTF-8 (without BOM)

・Transcription data: TSV format(tab-delimited), UTF-8 (without BOM)

・Size: 16.2GB

Number of speakers per age:

9 years' old: 56 (21 male, 35 female)

10 years' old: 71 (30 male, 41 female)

11 years' old: 65 (28 male, 37 female)

12 years' old: 38 (24 male, 14 female)

13 years' old: 2 (1 male, 1 female)

Structure of database:

├─ readme.txt

├─ Japanese Kids Speech Database.pdf Description document of the database

├─ Transcription.tsv Transcription

├─ scripts.tsv Script

│

└─ voices/ directory of audio data

├─ high/ directory of upper grade

└─(speaker_ID/) directory of speaker ID (six digits)

└─(audio_file) audio file (WAV format, 16KHz, 16bit, mono)

File naming conventions of audio files are as follows:

Field number | Contents | Description | Remarks

0 | Language ID | “JA” (fixed) | Japanese

1 | Speaker ID | Six digit | 5XXXXX

2 | Script ID | HXXXX | XXXX: four digits

3 | Age | Two digits

4 | Gender | M: male, F: female

Filed separation character is “_”.

For example, if the audio file name is “JA_500002_H0001_10_F.wav, this file has the following meaning:

JA: Language ID (Japanese)

500002: speaker ID

H0001: script ID

10: age (ten years old)

F: gender (female)

The gravity station data (4,381 records) were compiled by the Japanese Oceanographic Data Center. This data base was received in July 1988. The data are in the 'MGD77' exchange format. Principal gravity parameters include Free-air Anomalies and Observed gravity corrected for Eotvos, drift, and tares. The observed gravity values are referenced to the International Gravity Standardization Net 1971 (IGSN 71). The gravity anomaly computation uses the Geodetic Reference System 1967 (GRS 67) theoretical gravity formula. The data are randomly distributed within the boundaries of Japan.

Vital Statistics: Japanese Only: Deaths data was reported at 106,271.000 Person in Jul 2018. This records an increase from the previous number of 98,435.000 Person for Jun 2018. Vital Statistics: Japanese Only: Deaths data is updated monthly, averaging 91,609.000 Person from Jan 1994 (Median) to Jul 2018, with 295 observations. The data reached an all-time high of 135,504.000 Person in Jan 2018 and a record low of 64,002.000 Person in Jun 1994. Vital Statistics: Japanese Only: Deaths data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G005: Vital Statistics.

Long-term monitoring of a forest tree community is a basis for understanding forest structure and dynamics, and for evaluating ecosystem functions such as primary production. Because global climate change has impacted and will change the forest ecosystems from local to global scales, it is essential to document long-term monitoring data of the forests to examine the temporal and geographical trends of forest changes. We here report the monitoring data of 45 forest plots (average area: 0.69 ha) from 27 sites in Japan. The plots are located with latitude ranges from N 32.38 to N 43.36, and with elevation ranges from 8 m to 2453 m above sea level. These plots include both old-growth and secondary forests, and cover various forest biomes, such as warm-temperate evergreen forests, temperate deciduous broadleaved forests, and boreal or sub-alpine coniferous forests. In each plot, all living trees and liana larger than a certain minimum size (basically 15 cm stem girth at breast height) were repeatedly measured, and survival and recruitment of stems were recorded. Monitoring period varies among plots from 5 to 40 years with the average of 17.3 years. The tree measurement data are presented as a format common to that of the preceding Monitoring Sites 1000 Project in Japan, and as a sample-based Darwin Core format. This dataset expands existing open monitoring data of Japanese forests and thereby facilitates further meta-analysis on forest community structures and their changes in relation to climate change and other drivers. This dataset is published as a data paper in Ecological Research (see https://doi.org/10.1111/1440-1703.12457).

Database of beetle specimens preserved in the National Institute for Agro-Environmental Sciences (NIAES)

Vital Statistics: Japanese Only: Infant Mortality data was reported at 1,761.000 Person in 2017. This records a decrease from the previous number of 1,928.000 Person for 2016. Vital Statistics: Japanese Only: Infant Mortality data is updated yearly, averaging 9,969.000 Person from Dec 1947 (Median) to 2017, with 71 observations. The data reached an all-time high of 205,360.000 Person in 1947 and a record low of 1,761.000 Person in 2017. Vital Statistics: Japanese Only: Infant Mortality data remains active status in CEIC and is reported by Ministry of Health, Labour and Welfare. The data is categorized under Global Database’s Japan – Table JP.G005: Vital Statistics.

dataplor specializes in delivering highly precise, actionable intelligence tailored for businesses operating within the complex Japanese market. Our in-depth Point of Interest and foot traffic dataset for Japan is a cornerstone for businesses seeking to optimize operations and expand their footprint across the country.

Unlocking Japan's Potential with dataplor's POI Data Third-party Logistics / Order Fulfillment: Leverage our dataset to optimize delivery routes, identify optimal warehouse locations in bustling cities like Tokyo, Osaka, and Nagoya, and enhance last-mile delivery efficiency in densely populated urban areas.

Consumer Product Goods (CPGs): Gain a competitive edge by identifying ideal store locations in high-traffic areas, understanding consumer preferences across different regions and optimizing product distribution strategies. Telecommunication: Identify areas with high smartphone penetration, analyze competitor tower locations, and optimize network coverage in major cities and rural prefectures.

Finance and Investment: Evaluate potential investment opportunities by analyzing POI density and distribution in different regions (Tokyo, Osaka, Fukuoka), identifying affluent neighborhoods, and assessing the competitive landscape.

Store Location Data: Identify ideal store locations based on factors such as population density, competition, and consumer spending patterns in cities like Tokyo, Osaka, and Nagoya. Real Estate Intelligence: Assess property values based on location and surrounding amenities in major cities and regional areas.

Audience Targeting Data: Create highly targeted marketing campaigns through targeted marketing placement in high-density POI areas across Tokyo, Osaka, and Kyoto.

Travel Booking Data: Identify popular tourist destinations, analyze hotel and accommodation availability, and optimize travel itineraries for domestic and international visitors. dataplor's Japan POI dataset offers unparalleled granularity and accuracy, empowering businesses to make informed decisions and achieve sustainable growth in this dynamic market.

A corpus database managed by the MedNLP Laboratory, Kyoto University, Japan. This corpus was compiled using data from 22 people aged 74 to 86 years (mean age: 78.32 years; standard deviation [SD]: 3.36) who agreed to provide data for research purposes. This corpus also includes under 74 data (total 30 data).

The Japan Data Center Server Market Report is Segmented by Form Factor (Blade Server, Rack Server, and Tower Server) and by End User (IT and Telecommunication, BFSI, Government, Media and Entertainment, and Other End Users). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

IntroductionBronchopulmonary dysplasia (BPD) poses a substantial global health burden. Individualized treatment strategies based on early prediction of the development of BPD can mitigate preterm birth complications; however, previously suggested predictive models lack early postnatal applicability. We aimed to develop predictive models for BPD and mortality based on immediate postnatal clinical data.MethodsClinical information on very preterm and very low birth weight infants born between 2008 and 2018 was extracted from a nationwide Japanese database. The gradient boosting decision trees (GBDT) algorithm was adopted to predict BPD and mortality, using predictors within the first 6 h postpartum. We assessed the temporal validity and evaluated model adequacy using Shapley additive explanations (SHAP) values.ResultsWe developed three predictive models using data from 39,488, 39,096, and 40,291 infants to predict “death or BPD,” “death or severe BPD,” and “death before discharge,” respectively. These well-calibrated models achieved areas under the receiver operating characteristic curve of 0.828 (95% CI: 0.828–0.828), 0.873 (0.873–0.873), and 0.887 (0.887–0.888), respectively, outperforming the multivariable logistic regression models. SHAP value analysis identified predictors of BPD, including gestational age, size at birth, male sex, and persistent pulmonary hypertension. In SHAP value-based case clustering, the “death or BPD” prediction model stratified infants by gestational age and persistent pulmonary hypertension, whereas the other models for “death or severe BPD” and “death before discharge” commonly formed clusters of low mortality, extreme prematurity, low Apgar scores, and persistent pulmonary hypertension of the newborn.ConclusionsGBDT models for predicting BPD and mortality, designed for use within 6 h postpartum, demonstrated superior prognostic performance. SHAP value-based clustering, a data-driven approach, formed clusters of clinical relevance. These findings suggest the efficacy of a GBDT algorithm for the early postnatal prediction of BPD.

Title: Rule-based Synthetic Data for Japanese GEC. Dataset Contents:This dataset contains two parallel corpora intended for the training and evaluating of models for the NLP (natural language processing) subtask of Japanese GEC (grammatical error correction). These are as follows:Synthetic Corpus - synthesized_data.tsv. This corpus file contains 2,179,130 parallel sentence pairs synthesized using the process described in [1]. Each line of the file consists of two sentences delimited by a tab. The first sentence is the erroneous sentence while the second is the corresponding correction.These paired sentences are derived from data scraped from the keyword-lookup site

The Japan Data Center Networking Market report segments the industry into By Component (By Product, By Services) and End-User (IT & Telecommunication, BFSI, Government, Media & Entertainment, Other End-Users). Get five years of historical data and five-year forecasts.

Unemployment Rate in Japan remained unchanged at 2.50 percent in May. This dataset provides the latest reported value for - Japan Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.