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data/records_711d63c8f9d8433eacbe5fe015f79dfa.jsonl CHANGED
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  {"id": "40fe19dc81a941a8acf7679dcc197f22", "created_at": "2025-09-22T19:10:43Z", "dataset_name": "Single-cell RNA-seq of breast cancer infiltrating T cells", "dataset_url": "https://data.niaid.nih.gov/resources?id=zenodo_1170579", "description": "The Single-cell RNA-seq of breast cancer infiltrating T cells (case 1) dataset (Ye et al., 2018, DOI: 10.5281/zenodo.1170579\n) contains raw sequencing files generated from CD3+ T cells isolated from a primary triple-negative breast cancer (TNBC) tumor sample. Single-cell suspensions were processed using the 10X Genomics Chromium platform and sequenced on the Illumina HiSeq 2500. This resource supports research into tumor-immune interactions, T cell heterogeneity, and single-cell transcriptomics in breast cancer.", "approx_size": 27.0, "size_unit": "GB", "field": "single-cell", "user": "Ahmed Jammoussi"}
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  {"id": "d5229a69ce5c436485860b7588b41496", "created_at": "2025-09-22T19:23:05Z", "dataset_name": "RNASeq analysis of brown bear (Ursus arctos) skin tissue during active state and hibernation", "dataset_url": "https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-14479", "description": "Transcriptomic analysis of the brown bear (Ursus arctos) tissues during both active and inactive phases has unveiled significant differential gene expression, with thousands of genes exhibiting altered activity in all studied tissues (muscle, liver, adipose...). Nevertheless, transcriptional analyses of hibernating animal tissues are limited to organs that are important in metabolism. No information is available about the variations of gene expression in tissues that may have a lower impact on metabolism, like the skin, which is mainly a support tissue and a mechanical barrier against the external environment. That experiment brings information about the gene expression variations in the bear skin during hibernation.", "approx_size": 1.2, "size_unit": "MB", "field": "genomics", "user": "Ahmed Jammoussi"}
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  {"id": "13ecc4c4d0bb467d87505d9c231def3a", "created_at": "2025-09-22T19:28:51Z", "dataset_name": "HapMap 3", "dataset_url": "https://www.broadinstitute.org/medical-and-population-genetics/hapmap-3", "description": "The HapMap 3 dataset (International HapMap Project, draft release 1) provides genome-wide SNP genotype data from 1,115 individuals across 11 global populations, generated using Illumina Human1M and Affymetrix SNP 6.0 platforms, alongside PCR-based resequencing across ten ENCODE regions in 712 samples. The dataset builds on earlier HapMap phases and expands population diversity with samples from Africa, Asia, Europe, and the Americas. It supports studies on allele frequency variation, linkage disequilibrium, copy number variation, population differentiation, and genetic mapping of complex traits.", "approx_size": 1.6, "size_unit": "GB", "field": "genomics", "user": "Ahmed Jammoussi"}
 
 
5
  {"id": "40fe19dc81a941a8acf7679dcc197f22", "created_at": "2025-09-22T19:10:43Z", "dataset_name": "Single-cell RNA-seq of breast cancer infiltrating T cells", "dataset_url": "https://data.niaid.nih.gov/resources?id=zenodo_1170579", "description": "The Single-cell RNA-seq of breast cancer infiltrating T cells (case 1) dataset (Ye et al., 2018, DOI: 10.5281/zenodo.1170579\n) contains raw sequencing files generated from CD3+ T cells isolated from a primary triple-negative breast cancer (TNBC) tumor sample. Single-cell suspensions were processed using the 10X Genomics Chromium platform and sequenced on the Illumina HiSeq 2500. This resource supports research into tumor-immune interactions, T cell heterogeneity, and single-cell transcriptomics in breast cancer.", "approx_size": 27.0, "size_unit": "GB", "field": "single-cell", "user": "Ahmed Jammoussi"}
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  {"id": "d5229a69ce5c436485860b7588b41496", "created_at": "2025-09-22T19:23:05Z", "dataset_name": "RNASeq analysis of brown bear (Ursus arctos) skin tissue during active state and hibernation", "dataset_url": "https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-MTAB-14479", "description": "Transcriptomic analysis of the brown bear (Ursus arctos) tissues during both active and inactive phases has unveiled significant differential gene expression, with thousands of genes exhibiting altered activity in all studied tissues (muscle, liver, adipose...). Nevertheless, transcriptional analyses of hibernating animal tissues are limited to organs that are important in metabolism. No information is available about the variations of gene expression in tissues that may have a lower impact on metabolism, like the skin, which is mainly a support tissue and a mechanical barrier against the external environment. That experiment brings information about the gene expression variations in the bear skin during hibernation.", "approx_size": 1.2, "size_unit": "MB", "field": "genomics", "user": "Ahmed Jammoussi"}
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  {"id": "13ecc4c4d0bb467d87505d9c231def3a", "created_at": "2025-09-22T19:28:51Z", "dataset_name": "HapMap 3", "dataset_url": "https://www.broadinstitute.org/medical-and-population-genetics/hapmap-3", "description": "The HapMap 3 dataset (International HapMap Project, draft release 1) provides genome-wide SNP genotype data from 1,115 individuals across 11 global populations, generated using Illumina Human1M and Affymetrix SNP 6.0 platforms, alongside PCR-based resequencing across ten ENCODE regions in 712 samples. The dataset builds on earlier HapMap phases and expands population diversity with samples from Africa, Asia, Europe, and the Americas. It supports studies on allele frequency variation, linkage disequilibrium, copy number variation, population differentiation, and genetic mapping of complex traits.", "approx_size": 1.6, "size_unit": "GB", "field": "genomics", "user": "Ahmed Jammoussi"}
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