GET /metagenomics/api/v1/biomes/root:Environmental/studies?format=api
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "links": {
        "first": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental/studies?format=api&page=1",
        "last": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental/studies?format=api&page=104",
        "next": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental/studies?format=api&page=2",
        "prev": null
    },
    "data": [
        {
            "type": "studies",
            "id": "MGYS00006846",
            "attributes": {
                "accession": "MGYS00006846",
                "samples-count": 3,
                "bioproject": "PRJEB92452",
                "is-private": false,
                "last-update": "2025-11-05T16:34:28",
                "secondary-accession": "ERP175331",
                "centre-name": "T C",
                "public-release-date": null,
                "study-abstract": "Analise de biodiversidade de areas contaminadas por metais pesados ",
                "study-name": "Analise de metais pesado de rios",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil:Contaminated",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil:Contaminated?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006846?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006848",
            "attributes": {
                "accession": "MGYS00006848",
                "samples-count": 7,
                "bioproject": "PRJEB75476",
                "is-private": false,
                "last-update": "2025-08-26T14:50:09",
                "secondary-accession": "ERP160052",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJNA553005, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Aquatic:Marine:Sediment.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJNA553005 data set (Metagenomic views of microbial dynamics influenced by hydrocarbon seepages in sediments of Gulf of Mexico).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine:Sediment",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine:Sediment?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006848?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006491",
            "attributes": {
                "accession": "MGYS00006491",
                "samples-count": 827,
                "bioproject": "PRJEB60351",
                "is-private": false,
                "last-update": "2025-07-04T02:30:33",
                "secondary-accession": "ERP145406",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJEB4352, and was assembled with megahit v1.2.9. This project includes samples from the following biomes: root:Environmental:Aquatic:Marine.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJEB4352 data set (Shotgun Sequencing of Tara Oceans DNA samples corresponding to size fractions for protist).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        },
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine:Oceanic",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine:Oceanic?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006491?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00002031",
            "attributes": {
                "accession": "MGYS00002031",
                "samples-count": 1,
                "bioproject": "PRJEB22510",
                "is-private": false,
                "last-update": "2025-07-03T09:51:56",
                "secondary-accession": "ERP104191",
                "centre-name": "EMBL-EBI",
                "public-release-date": null,
                "study-abstract": "The Mid-Cayman Rise FS848 and FS856 metagenomes Third Party Annotation (TPA) assembly was derived from the primary whole genome shotgun (WGS) data set PRJEB9204. This project includes samples from the following biomes : Hydrothermal vents.",
                "study-name": "EMG produced TPA metagenomics assembly of the Subseafloor microbes at Mid-Cayman Rise (Mid-Cayman Rise FS848 and FS856 metagenomes) data set",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine:Hydrothermal vents",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine:Hydrothermal%20vents?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002031?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006821",
            "attributes": {
                "accession": "MGYS00006821",
                "samples-count": 18,
                "bioproject": "",
                "is-private": false,
                "last-update": "2025-07-02T14:58:13",
                "secondary-accession": "SRP003237",
                "centre-name": "G2L",
                "public-release-date": null,
                "study-abstract": "Soil bacteria are important components for nearly all biogeochemical cycles in terrestrial ecosystems and participate in most nutrient transformations in soil. In contrast to the importance of soil bacteria for ecosystem functions, we understand little how different management types affect the soil bacterial community composition. We used pyrosequencing-based analysis of the V2-V3 16S rRNA gene region to identify changes in bacterial diversity and community structure in nine forest and nine grassland soils under six different management types (three replicates each) from the Schwäbische Alb (southwestern Germany). The data set comprised 598,962 sequences that were affiliated to the domain Bacteria. The number of classified sequences per sample ranged from 23,515 to 39,259. The dominant taxonomic groups across all samples (> 1% of all sequences) were Acidobacteria, Alphaproteobacteria, Actinobacteria, Betaproteobacteria, Deltaproteobacteria, Gammaproteobacteria, and Firmicutes. Significant variations in relative abundances of bacterial phyla, including Actinobacteria, Firmicutes, Cyanobacteria, and Alphaproteobacteria, between the land use types forest and grassland were observed. At the genus level, differences were also recorded for the dominant genera Phenylobacter, Polyangium, Bacillus, Kribbella, Agromyces, and Defluviicoccus. The separate analysis of bacterial community composition in forest and grassland soils revealed strong correlations of relative abundances of bacterial groups at different taxonomic levels and soil pH, but little or no relationships to the management type and other soil properties were found. A pH effect was recorded for the Bacteroidetes, Alphaproteobacteria, Betaproteobacteria, Acidobacteria (subgroups 1, 4, 6, 13, 16, 17, and 22), Caulobacterales, and Dyella in forest soils, and for acidobacterial subgroup 3 and Acetobacteraceae in forest as well as in grassland soils. In addition, soil bacterial community structure showed significant differences between beech and spruce forest soils. Thus, soil pH and tree species were the major drivers of bacterial community composition in forest soils.",
                "study-name": "16S rRNA analysis of bacterial communities of forest and grassland sites located in the German Biodiversity Exploratory Schwäbische Alb",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006821?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00005779",
            "attributes": {
                "accession": "MGYS00005779",
                "samples-count": 64,
                "bioproject": "PRJEB44163",
                "is-private": false,
                "last-update": "2025-07-02T11:54:55",
                "secondary-accession": "ERP128181",
                "centre-name": "Universidad de la Amazonia",
                "public-release-date": null,
                "study-abstract": "This study aimed to characterize the microbiome present in both litter and the soil of rainforest in the northwest Colombian Amazon region, and the response of the microbiome to land use change. The study was conducted specifically in Belén de los Andaquies and Solano counties, in Caqueta state, the second most important hotspot of deforestation in the entire Amazon basin. Experimental study design included 4 study sites for comparing native forest to livestock pasture systems, within the main landscapes of the region, mountain and hill landscapes separately.",
                "study-name": "Land use change effects on the soil microbiome of the rainforest of the northwest Colombian Amazon region.",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil:Tropical rainforest",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil:Tropical%20rainforest?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005779?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006819",
            "attributes": {
                "accession": "MGYS00006819",
                "samples-count": 15,
                "bioproject": "PRJEB86960",
                "is-private": false,
                "last-update": "2025-06-10T16:20:20",
                "secondary-accession": "ERP170255",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA) assembly was derived from the primary data set PRJNA738385",
                "study-name": "Metatranscriptome assembly of PRJNA738385 data set (Metatranscriptomics of shellfish hatchery intake water)",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Aquaculture",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Aquaculture?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006819?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006813",
            "attributes": {
                "accession": "MGYS00006813",
                "samples-count": 1,
                "bioproject": "PRJEB68340",
                "is-private": false,
                "last-update": "2025-05-30T12:57:44",
                "secondary-accession": "ERP153298",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJNA375455, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Aquatic:Marine.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJNA375455 data set (Marine microbial communities from the Southern Atlantic ocean transect to study dissolved organic matter and carbon cycling - Knorr_S15_td_AAIW_ad_750m_LV_A metagenome).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006813?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006746",
            "attributes": {
                "accession": "MGYS00006746",
                "samples-count": 900,
                "bioproject": "PRJNA706195",
                "is-private": false,
                "last-update": "2025-04-25T08:44:55",
                "secondary-accession": "SRP309062",
                "centre-name": "Helmholtz Centre for Environmental Research - UFZ",
                "public-release-date": null,
                "study-abstract": "The German Biodiversity Exploratories aim to regularly monitor general fungi in German soils. The project considers 150 grassland and 150 forest plots in total, which are distributed along a north-south transect across Germany. The three sites, each consisting of 50 grassland and 50 forest plots, are Schorfheide-Chorin in Northern Germany, Hainich-Duen in Central Germany and Swabian Alb in the South of the country. Grasslands and forests are characterized by different land-use intensities and management regimes, respectively. The arbuscular mycorrhiza fungi were assessed using Illumina MiSeq sequencing of the internal transcripted spacer2 (ITS2) region after a joint soil sampling carried out in May 2011, 2014 and 2017, each time on all 300 plots.",
                "study-name": "General soil fungi from 150 German grassland and 150 German forest plots from 2011, 2014 and 2017 (Illumina MiSeq)",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006746?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006741",
            "attributes": {
                "accession": "MGYS00006741",
                "samples-count": 282,
                "bioproject": "PRJNA647619",
                "is-private": false,
                "last-update": "2025-04-09T10:00:02",
                "secondary-accession": "SRP273389",
                "centre-name": "Georg-August-University Goettingen",
                "public-release-date": null,
                "study-abstract": "The aim of the project was to investigate Candidatus Udaeobacter phylotypes in forest and grassland soils derived from the German Biodiversity Exploratories",
                "study-name": "Analysis of Candidatus Udaeobacter representatives in forest and grassland soils",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006741?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006740",
            "attributes": {
                "accession": "MGYS00006740",
                "samples-count": 340,
                "bioproject": "PRJEB30633",
                "is-private": false,
                "last-update": "2025-04-08T08:22:23",
                "secondary-accession": "ERP113110",
                "centre-name": "DSMZ",
                "public-release-date": null,
                "study-abstract": "Biodiversity Exploratories Rhizosphere 2015",
                "study-name": "Biodiversity Exploratories Rhizosphere 2015",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006740?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006745",
            "attributes": {
                "accession": "MGYS00006745",
                "samples-count": 900,
                "bioproject": "PRJNA706003",
                "is-private": false,
                "last-update": "2025-04-08T08:20:33",
                "secondary-accession": "SRP309100",
                "centre-name": "Helmholtz Centre for Environmental Research - UFZ",
                "public-release-date": null,
                "study-abstract": "The German Biodiversity Exploratories aim to regularly monitor arbuscular mycorrhizal in German soils. The project considers 150 grassland and 150 forest plots in total, which are distributed along a north-south transect across Germany. The three sites, each consisting of 50 grassland and 50 forest plots, are Schorfheide-Chorin in Northern Germany, Hainich-Duen in Central Germany and Swabian Alb in the South of the country. Grasslands and forests are characterized by different land-use intensities and management regimes, respectively.The arbuscular mycorrhiza fungi were assessed using Illumina MiSeq sequencing of the small subunit (SSU) gene after a joint soil sampling carried out in May 2011, 2014 and 2017, each time on all 300 plots.",
                "study-name": "Arbuscular mycorrhizal fungi from 150 German grassland and 150 German forest plots from 2011, 2014 and 2017 (Illumina MiSeq)",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006745?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006742",
            "attributes": {
                "accession": "MGYS00006742",
                "samples-count": 156,
                "bioproject": "PRJNA433935",
                "is-private": false,
                "last-update": "2025-04-07T15:24:47",
                "secondary-accession": "SRP133002",
                "centre-name": "Helmholtz Centre for Environmental Research GmbH - UFZ",
                "public-release-date": null,
                "study-abstract": "Investigation of the root and rhizosphere microbial community composition of forb and grass phytometer plants out planted in sites of different land-use intensity in the German Biodiversity Exploratories (Hainich-Dün) by means of 16S and ITS rDNA paired-end amplicon sequencing using Illumina MiSeq. The study focused on the effect of plant functional group (grasses vs. forbs) and land-use as well as edaphic parameters onto the bacterial and fungal community and diversity.",
                "study-name": "Microbial genomic DNA was extracted from the root, rhizosphere and bulk soil compartments from grassland phytometer plant species and was then used as templates for bacterial 16S and/or fungal ITS rDNA paired-end amplicon sequencing using Illumina MiSeq",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006742?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006791",
            "attributes": {
                "accession": "MGYS00006791",
                "samples-count": 330,
                "bioproject": "PRJEB60029",
                "is-private": false,
                "last-update": "2025-04-04T11:22:46",
                "secondary-accession": "ERP145068",
                "centre-name": "GFZ German Research Centre for Geosciences",
                "public-release-date": null,
                "study-abstract": "Pioneer microbial communities participate critically in soil formation processes in arid and semiarid environments. However, how its structure impacts soil formation and stabilization and how they will respond to changes in a climate still need to be better understood. Therefore, soil samples from A and B horizons of arid and semiarid climates were incubated in a four month-experiment simulating constant water availability and temperature regimes in humid climate conditions. We used 16S-rRNA sequencing to assess changes in abundance, diversity, and structure of pioneer bacterial communities and their relation to soil physicochemical properties at three-time points during the incubation. Humid conditions decreased bacterial diversity only in arid soils, while the structure changed in both soils but faster in the arid one (12 against 16 weeks).  The bacterial phyla varied markedly in arid soils over time, reassembled into a community dominated by Proteobacteria, Actinobacteriota, and Gemmatimonadota, while semiarid one was led steadily by Acidobacteriota, Proteobacteria, and Planctomycetota. The bacterial community correlated with prominent soil formation indicators such as pH, electrical conductivity, carbon, nitrogen, and mean weight diameter of aggregates, suggesting that they are involved in soil formation processes. The co-occurrence network revealed a niche differentiation per soil type and a less developed soil with a bacterial community sensitive to environmental disturbances in the arid soil. Overall, we suggest that the pioneer bacterial community was sensitive to changes when exposed to climate conditions outside the range of their life history, which, in turn, influenced the stability (semiarid soil) or turnover (arid soil) of pioneer soil-forming bacteria.",
                "study-name": "Unraveling the response of pioneer soil-forming bacterial communities after simulating humid climate conditions in arid and semiarid soils",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006791?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006796",
            "attributes": {
                "accession": "MGYS00006796",
                "samples-count": 6,
                "bioproject": "PRJEB86619",
                "is-private": false,
                "last-update": "2025-04-03T11:33:53",
                "secondary-accession": "ERP169949",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA) assembly was derived from the primary data set PRJNA822508",
                "study-name": "Metagenome assembly of PRJNA822508 data set (Metagenomic exploration of Surface waters from the Andaman and Nicobar Islands, India.)",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006796?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006784",
            "attributes": {
                "accession": "MGYS00006784",
                "samples-count": 81,
                "bioproject": "PRJEB73722",
                "is-private": false,
                "last-update": "2025-03-21T09:53:45",
                "secondary-accession": "ERP158464",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJEB52452, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Aquatic:Marine.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJEB52452 data set (Malaspina Expedition 2010 Microbial Vertical Profiles Metagenomes).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006784?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006778",
            "attributes": {
                "accession": "MGYS00006778",
                "samples-count": 29,
                "bioproject": "PRJEB72683",
                "is-private": false,
                "last-update": "2025-03-14T17:32:56",
                "secondary-accession": "ERP157462",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJNA780648, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Terrestrial:Soil:Agricultural.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJNA780648 data set (Soil microbial gene expression in an agricultural ecosystem varies with time and neonicotinoid seed treatments).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil:Agricultural",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil:Agricultural?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006778?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006774",
            "attributes": {
                "accession": "MGYS00006774",
                "samples-count": 16,
                "bioproject": "PRJEB72650",
                "is-private": false,
                "last-update": "2025-03-14T13:08:17",
                "secondary-accession": "ERP157426",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJEB30524, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Terrestrial:Soil:Agricultural.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJEB30524 data set (a metagenomic gene catalogue of soil microbiota from different niches on a farmland of wheat and chickpea, including bulk soil, detritusphere, and rhizospheres).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil:Agricultural",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil:Agricultural?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006774?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006773",
            "attributes": {
                "accession": "MGYS00006773",
                "samples-count": 1,
                "bioproject": "PRJEB72732",
                "is-private": false,
                "last-update": "2025-03-14T05:27:04",
                "secondary-accession": "ERP157514",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA)  assembly was derived from the primary whole genome shotgun (WGS) data set PRJNA336855, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Terrestrial:Soil:Agricultural.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJNA336855 data set (Soil microbial communities from Great Prairies - Iowa, Continuous Corn soil metagenome).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil:Agricultural",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil:Agricultural?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006773?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006754",
            "attributes": {
                "accession": "MGYS00006754",
                "samples-count": 54,
                "bioproject": "PRJEB34883",
                "is-private": false,
                "last-update": "2025-03-07T17:44:35",
                "secondary-accession": "ERP117856",
                "centre-name": "KTH",
                "public-release-date": null,
                "study-abstract": "Reads for two datasets, assemblies and MAGs for these datasests as well as two other (PRJEB22997 and SRP077551) for the study named \"Ecosystem-wide metagenomic binning enables prediction of ecological niches from genomes\".",
                "study-name": "Baltic Sea metagenome assembly and MAG data sets: Coastal transect 2015 and LMO time series 2013-2014",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006754?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006757",
            "attributes": {
                "accession": "MGYS00006757",
                "samples-count": 22,
                "bioproject": "PRJNA1117483",
                "is-private": false,
                "last-update": "2025-03-07T14:00:13",
                "secondary-accession": "SRP510317",
                "centre-name": "Boston University",
                "public-release-date": null,
                "study-abstract": "In-situ benthic chamber experiments at the polymetallic nodule covered abyssal seafloor revealed O2 rising to more than three times the background concentration over the course of two days in 95% of experiments. Dark oxygen production (DOP) was detected at multiple sites across the Pacific and was observed in ex-situ 28 incubations, including in the presence of only nodules.",
                "study-name": "Clarion Clipperton Zone Nodules and Sediment",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine:Sediment",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine:Sediment?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006757?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006756",
            "attributes": {
                "accession": "MGYS00006756",
                "samples-count": 14,
                "bioproject": "PRJNA822508",
                "is-private": false,
                "last-update": "2025-03-07T12:48:23",
                "secondary-accession": "SRP367105",
                "centre-name": "Indian Institute of Science Education and Research Bhopal",
                "public-release-date": null,
                "study-abstract": "The 16s rRNA gene amplicon and shotgun metagenomic sequencing was carried out to examine the taxonomic and functional diversity analysis of microbial communities in surface waters from Andaman and Nicobar Islands, India. The potential effects of Anthropogenic activities in coastal marine waters on microbial communities were also examined.",
                "study-name": "Metagenomic exploration of Surface waters from the Andaman and Nicobar Islands, India.",
                "data-origination": "HARVESTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Marine",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Marine?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006756?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006752",
            "attributes": {
                "accession": "MGYS00006752",
                "samples-count": 314,
                "bioproject": "PRJEB38681",
                "is-private": false,
                "last-update": "2025-03-07T11:25:21",
                "secondary-accession": "ERP122124",
                "centre-name": "BILS",
                "public-release-date": null,
                "study-abstract": "Stratified lakes and ponds that feature steep oxygen gradients are known to be significant net sources of greenhouse gases and hotspots in the carbon cycle. Despite their significant biogeochemical roles, the resident microbial communities, especially in the oxygen depleted hypolimnetic compartments are poorly known. In this paper, we present a comprehensive metagenome dataset including shotgun metagenomes from around 30 stratified lakes and ponds mainly located in the boreal and subarctic regions, but also including one reservoir from tropical Puerto Rico and one Swiss lake from the temperate zone. For most lakes and ponds, the data includes a vertical sample set spanning the oxic surface waters to anoxic bottom layers. In addition to the metagenomic sequences, the dataset includes environmental variables for the samples, such as oxygen, nutrient and carbon concentrations. The dataset is ideal for further exploring the microbial taxonomic and functional diversity in freshwater  environments and climate change impacts on the functioning of these ecosystems.",
                "study-name": "Comprehensive dataset of shotgun metagenomes from stratified freshwater lakes and ponds",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006752?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006753",
            "attributes": {
                "accession": "MGYS00006753",
                "samples-count": 57,
                "bioproject": "PRJEB60062",
                "is-private": false,
                "last-update": "2025-03-03T16:59:09",
                "secondary-accession": "ERP145107",
                "centre-name": "SRUC Scotlands Rural College",
                "public-release-date": null,
                "study-abstract": "The composition of the bacterial community associated with a controlled environmental tower was determined. This included from the irrigation system, the plant growth substrate and rhizosphere of two edible plant species. Composition was determine from the 16S amplicon short-read sequences.",
                "study-name": "controlled environment bacteria community composition",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Terrestrial:Soil",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Terrestrial:Soil?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006753?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006751",
            "attributes": {
                "accession": "MGYS00006751",
                "samples-count": 8,
                "bioproject": "PRJEB85613",
                "is-private": false,
                "last-update": "2025-02-28T23:21:49",
                "secondary-accession": "ERP168988",
                "centre-name": "EMG",
                "public-release-date": null,
                "study-abstract": "The Third Party Annotation (TPA) assembly was derived from the primary data set PRJEB37497",
                "study-name": "Metagenome assembly of PRJEB37497 data set (Lake Erken network metagenomes)",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/analyses?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/geocoordinates?format=api"
                    }
                },
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/downloads?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/samples?format=api"
                    }
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/publications?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater?format=api"
                            }
                        }
                    ]
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006751?format=api"
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1,
            "pages": 104,
            "count": 2584
        }
    }
}