topo
Datasets
All datasets matching “topo”DTNav-topometa13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics
Resonance Resonance / IRS-DCE
MASTER README (FULL EXTENDED VERSION)
If you need the other data or pdf check on [https://huggingface.co/datasets/meta13sphere/phaseShift_shell_result_pdf]
[2026-09-25 Update]
The Geometry of IRS-DCE Boundary Dissolution v1.0 is now available in Korean and English.
Resolution-Dependent Component Decomposition and Dynamic Rearrangement
This release connects the existing IRS-DCE and BBRCM research to mathematical analysis and recorded… See the full description on the dataset page: https://huggingface.co/datasets/meta13sphere/meta13sphere_IRS_DCE_Topological_Dynamics__Boundary_Dissolution_Physics.2d-photonic-topology
README
This dataset includes the results of a symmetry-based analysis of two-dimensional photonic crystals, spanning 11 distinct symmetry settings, two field polarizations, and five dielectric contrasts. For each of these settings, the dataset includes results for 10 000 randomly generated photonic crystal unit cells. These results assume time-reversal symmetry. In addition, results for time-reversal broken settings are included for 4 of the 11 symmetry settings, at a single… See the full description on the dataset page: https://huggingface.co/datasets/cgeorgiaw/2d-photonic-topology.toponym-adoption-data
Toponym adoption data
English-language adoption of Ukrainian vs Russian toponym transliterations
(Kyiv/Kiev, Chornobyl/Chernobyl, ...), 2010-2026.
Layout
Four stages, each a function of the previous. Only raw is expensive; everything
downstream is a recompute.
file
what it is
<source>_raw.parquet
exactly what the provider returned, nothing dropped
<source>_processed.parquet
cleaned and regex-matched; only records containing a spelling… See the full description on the dataset page: https://huggingface.co/datasets/KyivNotKiev/toponym-adoption-data.low-to-high-res_weather_from_topography
Dataset: Low-to-High-Resolution Weather Forecasting using Topography
The dataset is intended and structured for the problem of transforming/interpolating low-resolution weather forecasts into higher resolution using topography data.
The dataset consists of 3 different types of data (as illustrated above):
Historical weather observation data (SMHI)
Historical weather observation data from selected SMHI observation stations (evaluation points)Historical low-resolution weather… See the full description on the dataset page: https://huggingface.co/datasets/rebase-energy/low-to-high-res_weather_from_topography.topo_openloris