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data/records_f3a89ef6d0b54409a8a5241484ccb508.jsonl

@@ -7,3 +7,4 @@
 {"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"}
+{"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"}