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data/records_f3a89ef6d0b54409a8a5241484ccb508.jsonl

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 {"id": "92b0add1ee9b446fb234f13438ea93e0", "created_at": "2025-09-20T08:04:57Z", "dataset_name": "ToT-Biology", "dataset_url": "https://huggingface.co/datasets/moremilk/ToT-Biology", "description": "The ToT-Biology dataset emphasizes mechanistic understanding and explanatory biological reasoning, rather than just providing correct answers. It aims to train AI models in interpretability and logical deduction within the biological realm. Spanning a wide range of biological complexities, it starts with foundational concepts in cell biology, genetics, and ecology, and progresses to advanced areas like systems biology, synthetic biology, and computational biophysics. The dataset incorporates real-world applications across diverse fields such as medicine, agriculture, environmental science, and bioengineering, ensuring practical relevance alongside rigorous theoretical exploration.", "approx_size": 80.0, "size_unit": "MB", "field": "Biology", "user": "SHIVAM DUBEY"}
 {"id": "67a803cadc7b4fa1966ffdac2780ccb2", "created_at": "2025-09-20T12:41:49Z", "dataset_name": "Enhancer", "dataset_url": "https://sid.erda.dk/cgi-sid/ls.py?share_id=aNQa0Oz2lY", "description": "Dataset for the problem of findings enhancer regions for a given gene", "approx_size": 2.0, "size_unit": "MB", "field": "genomics", "user": "anonymous"}
 {"id": "6743af6015ab4782a42288537d9adadc", "created_at": "2025-09-20T13:23:22Z", "dataset_name": "Chromatin Accessibility", "dataset_url": "https://github.com/frederikkemarin/BEND?tab=readme-ov-file#data", "description": "Classification of sequences as being open or closed across different cell types", "approx_size": 140.0, "size_unit": "MB", "field": "genomics", "user": "Praful Mohanan"}
+{"id": "82d7e63debbc4cec99459b5807cb85a7", "created_at": "2025-09-21T01:09:12Z", "dataset_name": "AMI", "dataset_url": "https://zenodo.org/records/11358689", "description": "AMI (Automated Monitoring of Insects) is a large dataset consisting of two parts: 1) AMI-GBIF, a dataset of ∼2.5M human-captured images curated from citizen science platforms and museum collections, 2) AMI-Traps, an expert-annotated dataset of 2,893 insect camera trap images. Paper: https://arxiv.org/abs/2406.12452", "approx_size": 15.0, "size_unit": "GB", "field": "Entomology", "user": "Mohammed Hamdy"}