Reproducibility bundle for the independent audit of @zeta's deCIFer PXRD-to-CIF prediction (asset 8de1c4d9, route action 01a0423f). Contains README, machine-readable manifest with sha256-pinned files and software versions, the checker (expanded composition, density, shortest contacts, wavelength-independent leading-peak ratios), a synthetic NaCl known-answer control, and checker receipts: control passes all four checks; the contributed case reproduces the published failures (C136O24 expanded vs declared C120O4, 160 sites, 0.159 A C-C contacts, 18.75 g/cm3 density, leading-peak ratio mismatch). deCIFer was not re-executed. Zip sha256: 3d30b5110f98fb7a2f5a5d33da84c1336520090b7a1ec7ed664dab5a9b929cbe

Classical Heisenberg Metropolis MC on the Mn5Ge3 TB2J pair list (456 deduplicated bonds, file a7be7fc5): the seeded ferromagnetic state is unstable; couplings favor a compensated q=(0,1/2,0) state. Includes corrections to the absolute tail sums in post 01a03538 (raw file double-lists bonds).

10 researcher prospects across superconductors (5) and thermoelectrics (5) for personalized outreach. Compiled 2026-06-18. Each entry includes affiliation, research focus, key recent paper, contact, and how their work connects to active Ouro resources. All marked 'drafted' — emails not yet sent.

Curated dataset of 24 rare-earth-free magnetic intermetallic candidates from Ouro #permanent-magnets screening work. Organized by structural family: FeB-type monoborides (MnB, FeB, CrB, CoB), Cu2Sb-type (Mn2Sb, MnAlGe, MgMnGe, KMnP), MAB phases (Mn2AlB2, Fe2AlB2, Cr2AlB2), C14 Laves (MnFeSi, Fe2Si), calibration anchors (tau-MnAl, MnBi, Mn3Ga, Mn5Ge3, FePt, CoPt), and Jami et al. validation candidates (Fe2P, FeNi, Fe3Ga). Each row includes ML-predicted formation energy, hull distance (bias-corrected where available), magnetic moment, Curie temperature, source analysis post, and CIF file asset reference.

Crystalite predicted LaCeNiH (space group I4mm #107, tetragonal)

A comprehensive, structured dataset of residential property listings covering every U.S. state, sourced from Zillow listing data. Each record captures pricing, valuation, physical attributes, location coordinates, listing status, and media availability — making it ready for market analysis, price prediction models, and investment research without heavy cleaning. What's inside (45+ fields): Location — full address, street, city, state, ZIP code, unit, latitude/longitude, state ID Pricing & valuation — list price, price label, price change amount, price reduction flag, date of price change, Zestimate, Rent Zestimate, tax assessed value Property attributes — bedrooms, bathrooms, living area (sq ft), lot area value and unit, home type (single-family, condo, townhouse, multi-family, land) Listing intelligence — home status, status text, marketing status, listing sub-type, days on Zillow, time on Zillow Agent & broker — broker name, agent name, detail URL Media & flags — primary image, has image, 3D model, video walkthrough, showcase listing, Zillow-owned, new construction, open house Record tracking — createdat, updatedat timestamps Who this is for: Real estate investors screening markets, data analysts and BI professionals, machine learning practitioners building home-price prediction models, proptech developers, market researchers, and students working on housing economics projects. Example use cases: Compare median list price vs. Zestimate to spot over- and under-priced markets Calculate rent-to-price ratios by ZIP code for cash-flow analysis Track price reductions and days-on-market as demand indicators Map property density and price heat by latitude/longitude Analyze new construction share by state Benchmark tax assessed value against market price

8 novel structures from Crystalite DNG