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data/records_f3a89ef6d0b54409a8a5241484ccb508.jsonl

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 {"id": "8cb3fbb4c9c6433d9e1df9dd37308b13", "created_at": "2025-09-21T01:21:43Z", "dataset_name": "Mosquito-on-human-skin", "dataset_url": "https://data.mendeley.com/datasets/zw4p9kj6nt/2", "description": "Annotated images dataset that is suitable for training and evaluating a recognition system on mosquitoes in normal or smashed conditions. Paper: https://www.nature.com/articles/s41597-022-01541-w", "approx_size": 111.0, "size_unit": "MB", "field": "Entomology", "user": "Mohammed Hamdy"}
 {"id": "e0893185081c4b488b2f32cd67a63cb5", "created_at": "2025-09-21T01:47:04Z", "dataset_name": "SynthTree43k", "dataset_url": "https://github.com/norlab-ulaval/PercepTreeV1", "description": "A dataset containing 43K realistic synthetic forest images and over 190K annotated trees. In addition to CanaTree100; A dataset containing 100 real images and over 920 annotated trees collected in Canadian forests. Paper: https://arxiv.org/abs/2210.04104", "approx_size": 85.0, "size_unit": "GB", "field": "Ecology", "user": "Mohammed Hamdy"}
 {"id": "546594558b60483889d87e97b075f67a", "created_at": "2025-09-21T10:02:35Z", "dataset_name": "Seq-To-Pheno / Mapped Orthologs", "dataset_url": "https://huggingface.co/datasets/seq-to-pheno/mapped_orthologs", "description": "Zoonomia Orthologs Dataset\nThis dataset contains mapped orthologs for various species from the Zoonomia Project. It includes information about protein alignments and ortholog mappings between human and other species.\n\nDataset Structure\nThe dataset consists of a single CSV file with the following columns:\n\ntranscript: Human transcript ID\nprotein: Human protein name\nmapped_to: Non-human (query) organism transcript ID\nspecies: Name of the query species", "approx_size": 19.8, "size_unit": "GB", "field": "biology\n  chemistry\n  zoonomia\n  sequence\n  DNA\n  protein\n  transcript", "user": "Joseph [open/acc] Pollack"}
+{"id": "cb2b11e0273a4020b797aaf44b5022f9", "created_at": "2025-09-21T10:24:54Z", "dataset_name": "science-dataset", "dataset_url": "https://huggingface.co/datasets/LawalAfeez/science-dataset", "description": "The Science Dataset is a comprehensive collection of multiple-choice questions spanning biology, chemistry, physics, and earth sciences. Each question is designed to test understanding of fundamental scientific concepts and comes with three carefully crafted distractors (incorrect but plausible answers), one correct answer, detailed explanatory support text, and pre-computed embeddings.", "approx_size": 41.0, "size_unit": "MB", "field": "Biology, Chemistry, Physics, and Earth Sciences", "user": "Antonio Scibilia"}