Indian Stocks Comprehensive Fundamentals updated on Wednesday, 30 Sep 2026 03:37:22 +0000 They are stored in 5723 individual files. [stockname].json means all data related to that stock. For example, titan.json contains all available fundamental
SAVRN Model Hub · Datasets by Task
Tabular Regression Datasets
5 open-weight tabular regression datasets in the SAVRN Model Hub, with Yui Matsumura, Shiroha and Junichiro Niimi publishing the most.
5Datasets
5Publishers
3Licenses
Most Downloaded
| Dataset | Publisher | License | Monthly downloads |
|---|---|---|---|
| indian-stocks-comprehensive-fundamentals-dataset | Ayush khaire | cc0-1.0 | 4.9k |
| weather_forecast_japan | Junichiro Niimi | cc-by-4.0 | 1.2k |
| metabolome-phenome-atlas | Shiroha | other | 433 |
| alaska-arctic-hydrology-matrix | Abdullah Ashraf | cc-by-4.0 | — |
| worldpop-jp-2026-01 | Yui Matsumura | cc-by-4.0 | — |
Licenses
| License | Datasets | Commercial use |
|---|---|---|
| cc-by-4.0 | 3 | Yes |
| other | 1 | Read the license |
| cc0-1.0 | 1 | Read the license |
Who Publishes Them
| Publisher | Datasets |
|---|---|
| Yui Matsumura | 1 |
| Shiroha | 1 |
| Junichiro Niimi | 1 |
| Ayush khaire | 1 |
| Abdullah Ashraf | 1 |
All 5 Datasets
This dataset contains daily-collected weather forecasts for up to seven days ahead for all the meteorological observatories in Japan, published by the Japan Meteorological Agency (JMA) at https://www.jma.go.jp/bosai/forecast/. We collect, structurize, and accumulate the prediction since the page is overridden whenever the information is updated. The data is automatically updated daily using GitHub Actions. Since the actual forecasts are published multiple times a day, we set up the column fromhour which represetnts the announced time. Further details are also available at note.com/jniimi/n/n06d3423bbbbf (Japanese only). This dataset can be utilized across a wide range of research fields.…
Public GWAS.linear summary files originally hosted on Alibaba Cloud OSS (metabolome-phenome-atlas, oss-cn-hongkong). Migrated to Hugging Face so downloads no longer consume OSS egress. Each file is one phenotype, ~631 MB. Paths keep the original Summarydata/ prefix.
The Alaska Arctic Hydrology Harmonization Matrix is a multi-source geospatial hydro-climatic dataset containing 50,000 spatial coordinate vectors sampled across sub-arctic and hydrological basins. It unifies digital elevation models (DEM), permanent surface water occurrence percentages, seasonal water transition classifications, historical rainfall averages, and human demographic proxies into an aligned tabular feature matrix. This dataset was generated in-house via the LocalDataHarmonizer engine in ALASKASANDBOX, utilizing high-throughput spatial sampling algorithms (rasterio.sample.samplegen) to extract raster values at exact coordinate centroids. Distributed under the Creative Commons…
WorldPop's gridded population of Japan, 2015 to 2030, release R2025A: how many people live in every 100 m and every 1 km cell, by sex and five-year age band at 1 km, and the degree of urbanisation of every cell. 1,024 rasters as WorldPop published them, and the same rasters as Cloud Optimized GeoTIFF. CC BY 4.0. Cite each product by its DOI (see Licence). WorldPop's server sends whole files and ignores HTTP Range requests, at about 400 KB/s a connection, and its GeoTIFFs are striped. To look at one city you fetch the country. The COGs here are tiled at 512 with overviews, and the Hub answers Range requests, so GDAL's /vsicurl/ or rasterio can read a window. The files of a release are not…