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Large chem-informatics dataset of 7'131'914'291 small molecules with up to 50 heavy atoms, aggregated from PubChem, GDB13, and Enamine REAL, and enriched with machine-searchable representations of eve…

Large chem-informatics dataset of 7'131'914'291 small molecules with up to 50 heavy atoms, aggregated from PubChem, GDB13, and Enamine REAL, and enriched with machine-searchable representations of every molecule, growing over time. Those currently span 28 billion binary structural fingerprints computed with RDKit and CDK - MACCS with 166 dimensions, PubChem with 881, ECFP4 with 2048, and FCFP4 with 2048 - as well as 3D conformer geometries generated with ETKDG and optimized with MMFF94. Distributed as Parquet shards with pre-constructed USearch indexes for real-time similarity search and clustering across billions of molecules, hosted anonymously on the AWS Open Data platform, and accompanied by a bigger-than-memory Python pipeline with optional GPU acceleration for reproducing every stage.

This is Twilight relief of the paired reliefs of Aurora and Twilight. The reliefs intended for the house of the widow of the great historian Michelet and executed in 1895, testify to the assimilation …

This is Twilight relief of the paired reliefs of Aurora and Twilight. The reliefs intended for the house of the widow of the great historian Michelet and executed in 1895, testify to the assimilation by Bourdelle of a decorative spirit, between symbolism and new art.

The relief was probably a part of a Predella, a step or platform on which an altar is placed. It shows the presentation of baby Jesus in the temple. The background and frame were added later.

This is a bronze sculpture depicting a woman holding a kid in her arms. The sculpture is a central part of a fountain in Oslo ____________ This object was scanned by John Greenstone, Norway

Marin made this sculpture while a student at the French Academy in Rome and presented it at the Salon of 1808. The artist, a pupil of Clodion, managed to synthesise the rigorous study of classical mod…

Marin made this sculpture while a student at the French Academy in Rome and presented it at the Salon of 1808. The artist, a pupil of Clodion, managed to synthesise the rigorous study of classical models and the sensuality of life studies. This graceful female figure charmed Denon, then director of the Musés Nepoléon (now the Louvre), who saw Marin as one of the most promising sculptors of his generation.

Tissues with Issues Benchmark Dataset The Tissues with Issues Benchmark Dataset is a multi-center, multi-organ, and multi-stain collection of whole-slide images (WSIs). The dataset consists of 555 WSI…

Tissues with Issues Benchmark Dataset The Tissues with Issues Benchmark Dataset is a multi-center, multi-organ, and multi-stain collection of whole-slide images (WSIs). The dataset consists of 555 WSIs collected from 10 publicly available datasets: Acrobat Challenge, DLBCL-Morph, HISTAI, Human Protein Atlas, Monkey Challenge, Mostwiedzy, MSKCC, NADT, TCGA, and TG-GATEs. The dataset covers 29 organs and 36 staining protocols, including different specimen types (biopsies, resections, and tissue microarrays), tissue categories (normal and tumor), tissue preparation methods (FFPE and frozen tissue sections), scanning devices, and challenging imaging conditions such as pen marks, out-of-focus regions, and background artifacts. The selected slides were previously published under open-access licenses permitting redistribution. The specific license information for each slide is documented in the accompanying information file.     Data Source Slide Count Organs   Stains Acrobat-challenge 199 Breast ER, HE, HER2, KI67, PGR TCGA 160 Kidney, Brain, Head & Neck, Liver, Lung, Uterus, Adrenal & Paraganglia, Adrenal Gland, Bile Duct, Bladder, Breast, Colon, Connective Tissue, Esophagus, Eye (Uvea), Lymph Node, Ovary, Pancreas, Pleura, Prostate, Stomach, Testis, Thymus, Thyroid, Rectum, Skin HE Monkey-challenge 55 Kidney PAS DLBCL-Morph 42 Lymph Node BCL2, BCL6, CD10, HE, MUM1, MYC MSKCC 32 Lung PDL1 Mostwiedzy 32 Aorta, Breast, Colon, Kidney, Liver, Lung, Lymph Node, Mesentry, Ovary, Skin, Thyroid Alcian  Blue+PAS, BCL2, BCL6, CD10, CD20, CD3, CD31, CD34, CD68, CMYC, ER, HER2, KI67, MUM1, Masson Goldner, Masson Trichrome, PAS, PDL1, SMA, SOX10, Sirius Red, Van Gieson, Ziehl-Neelsen NADT 21 Prostate AR, ERG, GR, Ki67, P53, PIN4, PSA, PTEN, SYP TG-GATEs 10 Kidney, Liver HE HISTAI 3 Skin, Stomach CD34, CD68, HP Human Protein Atlas 1 Multi-organ SOX10 Data contents and annotations The dataset provides TIF-formatted WSIs at a standardized starting resolution of 0.5 or 1.0 μm/pixel, together with corresponding tissue–background annotations in XML format generated at the initial image resolution. Each XML annotation file contains two annotation groups ("tissue" and "hole") represented using the Polygon or Spline annotation types. Ground-truth annotations were generated through an AI-assisted annotation workflow. Initial tissue masks were created using a previously developed in-house model (not publicly released) and converted into XML format. These annotations were subsequently refined by two annotators using the open-source annotation tool ASAP to ensure annotation quality and accuracy. Tissue–background annotations were generated following predefined annotation guidelines. Disconnected artifacts were excluded, and tissue-associated holes were annotated only when their shortest diameter exceeded 1 mm.  Dataset organization Due to the large size of the dataset, the complete dataset is distributed across multiple Zenodo records. Each record contains a subset of WSIs, corresponding XML annotations, and information. The dataset is organized as follows: Part 1 of 8: [https://doi.org/10.5281/zenodo.21644817] Part 2 of 8: [https://doi.org/10.5281/zenodo.21643924] Part 3 of 8: [https://doi.org/10.5281/zenodo.21646335] Part 4 of 8: [https://doi.org/10.5281/zenodo.21648086] Part 5 of 8: [https://doi.org/10.5281/zenodo.21651695] Part 6 of 8: [https://doi.org/10.5281/zenodo.21652253] Part 7 of 8: [https://doi.org/10.5281/zenodo.21652661] Part 8 of 8: [https://doi.org/10.5281/zenodo.21652772] A information file is provided with each record, containing slide-level information including source dataset, license information, and associated metadata. Because the dataset combines images originating from multiple sources, individual files may be subject to different licensing conditions. Users should consult the information file and comply with the original license terms associated with each source dataset.          

Jean-Baptiste Carpeaux (Valenciennes, 1827 - Courbevoie, 1875) created the portrait of Samuel Welles de Lavalette in 1866, five years after having sculpted the bust of his mother, the marquise de Lava…

Jean-Baptiste Carpeaux (Valenciennes, 1827 - Courbevoie, 1875) created the portrait of Samuel Welles de Lavalette in 1866, five years after having sculpted the bust of his mother, the marquise de Lavalette (also uploaded on Scan The World). Son of an American banker and adoped by the marquis of Lavalette, second husband of his mother, Samuel Welles de Lavalette became one of the elite of the Second Empire. With this bust, Carpeaux created a marvellous expression of friendliness and nonchalant elegance of a young, rich dandy. Samuel Welles de Lavalette was a French politician born March 22, 1834 in Boston ( USA ) and died July 13, 1892 in Prigonrieux ( Dordogne ). As a diplomat, he was a secretary of the embassy and adopted by the Marquis de Lavalette. Director of the Chemins de fer de l'Ouest , he married the daughter of Eugene Rouher and naturalized French in May 1863. He was a deputy from 1863 to 1870 serving in the majority supporting the Second Empire .   This object is part of Scan The World. Scan the World is a non-profit initiative introduced by MyMiniFactory, through which we are creating a digital archive of fully 3D printable sculptures, artworks and landmarks from across the globe for the public to access for free. Scan the World is an open source, community effort, if you have interesting items around you and would like to contribute, email stw@myminifactory.com to find out how you can help.

Sir Walter Joseph Sendall (1832-1904) was a colonial governor: a Governor-in-Chief and later High Commissioner in Cyprus between 1892-8 and British Guiana between 1898-1901. In 1902 he represented the…

Sir Walter Joseph Sendall (1832-1904) was a colonial governor: a Governor-in-Chief and later High Commissioner in Cyprus between 1892-8 and British Guiana between 1898-1901. In 1902 he represented the West Indian colonies, Bermuda, and the Falkland Islands at the coronation of Edward VII, receiving the Coronation Medal.

Gautama Buddha (c. 563/480 – c. 483/400 BC), also known as Siddhārtha Gautama, Shakyamuni Buddha, or simply the Buddha, was an ascetic (śramaṇa) and sage, on whose teachings Buddhism was founded. He i…

Gautama Buddha (c. 563/480 – c. 483/400 BC), also known as Siddhārtha Gautama, Shakyamuni Buddha, or simply the Buddha, was an ascetic (śramaṇa) and sage, on whose teachings Buddhism was founded. He is believed to have lived and taught mostly in the eastern part of ancient India sometime between the 6th and 4th centuries BC.

This was originally a whole statue of a Roman emperor, now it's only a torso, showing the beautifully detailed armour/uniform.