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                "study-abstract": "Three methods to profile microbial community are compared. This sample is 16S rRNA amplicon sequencing of a single DNA sample.",
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                "secondary-accession": "ERP014662",
                "centre-name": "Leibniz Institute for Freshwater Ecology and Inland Fisheries",
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                "study-abstract": "Most studies of biodiversity focus on either macroscopic or microbial communities, with little or no simultaneous study of eukaryotes and prokaryotes. We tested whether a universal metabarcoding approach could be used to study the total diversity and temporal dynamics of aquatic pico- to mesoplankton communities in a shallow temperate lake. The approach revealed significant changes in the relative abundance of eukaryotic and prokaryotic plankton communities over a period of three months. These patterns, based on sequencing reads, fit with counts using traditional methods. We also witnessed the bloom of a conditionally rare bacterial taxon belonging to Arcicella, a genus that has been largely overlooked in freshwaters. Our data demonstrate the potential of universal metabarcoding as a complement to traditional studies of plankton communities, and for long-term monitoring across a broad range of organisms.",
                "study-name": "Universal metabarcoding of pico- mesoplankton reveals seasonal dynamics and a bacterial bloom",
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                "secondary-accession": "ERP015817",
                "centre-name": "Leibniz Institute for Freshwater Ecology and Inland Fisheries",
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                "study-abstract": "Microbial activity in lake sediments plays a key role in the cycling of nutrients and organic matter that continuously sink from water columns. As organic matter accumulates at the sediment surface, upper sediment layers become buried, resulting in a decrease in microbial activity and cell turnover rate with increasing depth. To better understand the structure of freshwater sediment communities and how the burial processes influence it, we quantified the distribution of a broad range of environmental parameters and the community structure of microbial archaea, bacteria, and eukaryotes in the sediments of a clear, temperate lake. Our findings suggest that the two uppermost horizons of the sediment community, which cover approximately the last 70 years, are characterized by a high taxa replacement influenced by “present” environmental parameters. Richness effects became increasingly important in the lowest studied horizon (14-30 cm, age 70-150 a) and could be readily explained by conservative “past” environmental parameters. The lowest horizon is also characterized by a switch in dominance toward archaea, as has been found in marine sediments. Our pioneering study shows that the freshwater lake's community structure, taxa, and vertical arrangement share many features previously observed for marine sediments.",
                "study-name": "Vertical organization of freshwater sediment microbial communities: implications for microbial activities and burial processes",
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            "id": "MGYS00005115",
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                "last-update": "2024-04-15T16:39:43",
                "secondary-accession": "ERP117126",
                "centre-name": "NORWEGIAN INSTITUTE OF PUBLIC HEALTH",
                "public-release-date": null,
                "study-abstract": "18S rDNA amplicon study of bulk water and shower hose biofilm samples. Cold water samples were collected from the water outlet of a drinking water treatment plant and from the water inlet of two neighboring buildings, warm water samples (ca 37 degrees C) were taken from showers within the two buildings: one building with a copper-silver-ionization-system to disinfect the water, the other building without such a system. Biofilms were taken from shower hoses within the two buildings. For further experimental details see: Stüken et al. 2018. Environ Sci Technol.;52(6):3354-3364. doi: 10.1021/acs.est.7b0596318S rDNA amplicons were generated with forward primer 1391F (GTA CAC ACC GCC CGTC) and reverse primer 1510R (CCT TCY GCA GGT TCA CCT AC). AdapterRemoval ver 2.3.0 and cutadapt vers. 1.18. were used to prepare samples for sequence submission (removal of remaining Illumina adapters, demultiplexing, removal of heterogeneity spacers, primers, low quality bases and sequences < 50 bp lengths).",
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                "secondary-accession": "SRP113428",
                "centre-name": "The Chinese University of Hong Kong",
                "public-release-date": null,
                "study-abstract": "This study aimed to examine the composition and genetic diversity of bacterial, archaeal and fungal communities in surface sediments of a subtropical coastal wetland.",
                "study-name": "Composition and Genetic Diversity of Microbial Communities in Subtropical Coastal Wetland Sediments",
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                "last-update": "2024-03-12T15:49:21",
                "secondary-accession": "ERP005549",
                "centre-name": "VTT",
                "public-release-date": null,
                "study-abstract": "Depending to the methods used for characterization of uncultured microbial communities from environmental samples, the results may differ profoundly. Here we have employed three different molecular community screening tools (DGGE, cloning, NGS) and compared their performance for revealing the microbial community profiles in groundwater samples. DGGE is a quick method for community profiling, but may leave many of the microbial groups present undetected. Cloning libraries generally perform better than DGGE, but is labor-intensive and cost ineffective, and may also suffer from incompatibility between insert and transformation host. The NGS method performed best and gave the most complete picture of the uncultured microbial community, but the drawback of this method is the shortness of the sequence reads obtained. In this paper we discuss the pros and cons of these methosd in environmental microbiology.",
                "study-name": "Evaluation of molecular techniques in characterization of deep terrestrial biosphere",
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                "last-update": "2024-01-25T16:40:27",
                "secondary-accession": "ERP010570",
                "centre-name": "VTT",
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                "study-abstract": "The nitrogen cycling bacterial community at 100 m depth in crystalline bedrock groundwater was investigated using nitrate and ammonium as substrates in a stable isotope probing study. The bacterial community was enriched with 15N ammonium or nitrate for 28 days after which the enriched community and the nitrogen assimilating communities were compared using 454 amplicon sequencing of the 16S rRNA genes",
                "study-name": "Nitrate and ammonia as nitrogen sources for deep subsurface microorganisms",
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                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Groundwater?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001602/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001602?format=api"
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        },
        {
            "type": "studies",
            "id": "MGYS00000997",
            "attributes": {
                "accession": "MGYS00000997",
                "bioproject": "PRJNA254742",
                "samples-count": 19,
                "is-private": false,
                "last-update": "2024-01-23T12:05:12",
                "secondary-accession": "SRP044266",
                "centre-name": "University of Maine",
                "public-release-date": null,
                "study-abstract": "Soil-groundwater mixtures were incubated with different levels of hydraulic fracturing fluids to monitor degradation of organic constituents over time",
                "study-name": "Hydraulic fracturing fluid-groundwater-soil incubations Targeted Locus (Loci)",
                "data-origination": "HARVESTED"
            },
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                },
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                },
                "biomes": {
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                    "data": [
                        {
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                            "id": "root:Environmental:Aquatic:Freshwater:Groundwater",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Groundwater?format=api"
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                    ]
                },
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00000997/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00000997/samples?format=api"
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00000997?format=api"
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        },
        {
            "type": "studies",
            "id": "MGYS00004428",
            "attributes": {
                "accession": "MGYS00004428",
                "bioproject": "PRJNA320997",
                "samples-count": 47,
                "is-private": false,
                "last-update": "2024-01-17T06:34:20",
                "secondary-accession": "SRP074539",
                "centre-name": "Universite Paris-Sud",
                "public-release-date": null,
                "study-abstract": "Characterize microbiome from camargue region in france",
                "study-name": "Camargue soil and sediment 16S community profiling",
                "data-origination": "HARVESTED"
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                    "links": {
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                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00004428/analyses?format=api"
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                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00004428/biomes?format=api"
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                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Wetlands:Sediment",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Wetlands:Sediment?format=api"
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                        }
                    ]
                },
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00004428/publications?format=api"
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                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00004428/samples?format=api"
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00004428?format=api"
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        },
        {
            "type": "studies",
            "id": "MGYS00001577",
            "attributes": {
                "accession": "MGYS00001577",
                "bioproject": "PRJEB7573",
                "samples-count": 45,
                "is-private": false,
                "last-update": "2024-01-17T02:47:34",
                "secondary-accession": "ERP008491",
                "centre-name": "H4B 1R6",
                "public-release-date": null,
                "study-abstract": "Temperate oceans are inhabited by diverse and temporally dynamic bacterioplankton communities. However, the role of the environment, resources and phytoplankton dynamics in shaping marine bacterioplankton communities at different time scales remains poorly constrained. Here, we combined time-series observations (time scales of weeks to years) with molecular analysis of formalin-fixed samples from a coastal inlet of the northwest Atlantic Ocean to show that a combination of temperature, nitrate, small phytoplankton and Synechococcus abundances are best predictors for annual bacterioplankton community variability, explaining 38% of the variation. Using Bayesian mixed modeling we identified assemblages of co-occurring bacteria associated with different seasonal periods, including the spring bloom (e.g. Polaribacter, Ulvibacter, Alteromonadales, and ARCTIC96B-16) and the autumn bloom (e.g. OM42, OM25, OM38 and Arctic96A-1 clades of Alpha-proteobacteria and SAR86, OM60, and SAR92 clades of Gamma-proteobacteria). Community variability over spring bloom development was best explained by silicate (32%) – an indication of rapid succession of bacterial taxa in response to diatom biomass– while nanophytoplankton as well as picophytoplankton abundance explained community variability (16-27%) over the transition into and out of the autumn bloom. Moreover, the seasonal structure was punctuated with short-lived blooms of rare bacteria including the KSA-1 clade of Sphingobacteria related to aromatic hydrocarbon-degrading bacteria.",
                "study-name": "Seasonal assemblages and short-lived blooms in coastal northwest Atlantic Ocean bacterioplankton",
                "data-origination": "SUBMITTED"
            },
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                "geocoordinates": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577/geocoordinates?format=api"
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                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577/analyses?format=api"
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                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577/biomes?format=api"
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                    "data": [
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                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
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                },
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577/publications?format=api"
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                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577/samples?format=api"
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00001577?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006297",
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                "accession": "MGYS00006297",
                "bioproject": "PRJEB64860",
                "samples-count": 6,
                "is-private": false,
                "last-update": "2023-09-01T13:30:33",
                "secondary-accession": "ERP150027",
                "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 PRJNA560313, and was assembled with metaspades v3.15.3. This project includes samples from the following biomes: root:Environmental:Aquatic:Freshwater:Groundwater.",
                "study-name": "EMG produced TPA metatranscriptomics assembly of PRJNA560313 data set (Samail Ophiolite groundwater sequencing).",
                "data-origination": "SUBMITTED"
            },
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006297/analyses?format=api"
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                },
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                            "id": "root:Environmental:Aquatic:Freshwater:Groundwater",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Groundwater?format=api"
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006297/publications?format=api"
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006297/samples?format=api"
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                "accession": "MGYS00006211",
                "bioproject": "PRJEB58755",
                "samples-count": 23,
                "is-private": false,
                "last-update": "2023-08-07T11:15:24",
                "secondary-accession": "ERP143823",
                "centre-name": "Leitat Technological Center",
                "public-release-date": null,
                "study-abstract": "Elimination of several antibiotics in water by bioelectrochemical cells. The main objective is study how the concentration of antibiotic resistant genes (ARG) changed depending on the voltage application.",
                "study-name": "ARGs study in bioelectrochemical remediation",
                "data-origination": "SUBMITTED"
            },
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/downloads?format=api"
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                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/geocoordinates?format=api"
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                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/analyses?format=api"
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                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Drinking water",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Drinking%20water?format=api"
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                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/publications?format=api"
                    }
                },
                "samples": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006211?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006241",
            "attributes": {
                "accession": "MGYS00006241",
                "bioproject": "PRJEB60492",
                "samples-count": 1,
                "is-private": false,
                "last-update": "2023-08-06T12:36:19",
                "secondary-accession": "ERP145558",
                "centre-name": ".",
                "public-release-date": null,
                "study-abstract": "The viral community from an iron rich microbial mat is analyzed",
                "study-name": "Freshwater stream mat viral communities from Ille-et-Vilaine, France",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/downloads?format=api"
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                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/geocoordinates?format=api"
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                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/analyses?format=api"
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                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lotic:Mid stream",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lotic:Mid%20stream?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006241?format=api"
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        },
        {
            "type": "studies",
            "id": "MGYS00003941",
            "attributes": {
                "accession": "MGYS00003941",
                "bioproject": "PRJEB29238",
                "samples-count": 366,
                "is-private": false,
                "last-update": "2023-07-03T10:07:25",
                "secondary-accession": "ERP111525",
                "centre-name": "Centre for Structural and Functional Genomics",
                "public-release-date": null,
                "study-abstract": "The NSERC Canadian LakePulse Network is a scientific initiative assessing environmental issues affecting Canadian lakes. Through multidisciplinary projects, LakePulse researchers use tools in lake science, spatial modelling, analytical chemistry, public health, and remote sensing to assess the status of over 600 lakes across various ecozones in Canada. The impacts of land-use, climate change and contaminants on lake health will be assessed to develop policies for better lake management.",
                "study-name": "Epipelagic bacterial communities of Canadian lakes",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/downloads?format=api"
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                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/geocoordinates?format=api"
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                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/analyses?format=api"
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                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
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                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/publications?format=api"
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                },
                "samples": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003941?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00002684",
            "attributes": {
                "accession": "MGYS00002684",
                "bioproject": "PRJEB27946",
                "samples-count": 560,
                "is-private": false,
                "last-update": "2023-05-31T09:44:30",
                "secondary-accession": "ERP110084",
                "centre-name": "UNIVERSITY OF CAMBRIDGE",
                "public-release-date": null,
                "study-abstract": "Community assembly is not only important for community structure, it is also a strong predictor of ecosystem functioning. Understanding how communities initially form and colonize lake sediments – where essential functions like carbon cycling occur – is therefore important for whole-ecosystem processes. Here, we tested for the deterministic processes that drive assembly order. Is this order primarily determined by the sediment or by the lake conditions ? What influences how rapidly this environmental filtering occurs? Do communities become more interconnected with time because of the sediment or lake conditions? Artificial mesocosms were created with varying levels and types of terrestrial organic matter. The mesocosms were placed at the bottom of three lakes. We sampled the sediment monthly over a two-month period to characterize microbial communities.",
                "study-name": "Effects of organic matter manipulation on archaeal, bacterial, and fungal community assembly",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002684/downloads?format=api"
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                "geocoordinates": {
                    "links": {
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                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002684/analyses?format=api"
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                },
                "biomes": {
                    "links": {
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                    "data": [
                        {
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                            "id": "root:Environmental:Aquatic:Freshwater:Lentic:Sediment",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lentic:Sediment?format=api"
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                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002684/publications?format=api"
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                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002684/samples?format=api"
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00002684?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006056",
            "attributes": {
                "accession": "MGYS00006056",
                "bioproject": "PRJEB52631",
                "samples-count": 19,
                "is-private": false,
                "last-update": "2023-03-10T11:34:26",
                "secondary-accession": "ERP137364",
                "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 PRJEB49834, and was assembled with SPAdes v3.15.3. This project includes samples from the following biomes: root:Environmental:Aquatic:Freshwater:Lotic.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJEB49834 data set (The occurrence, prevalence and fate of antibiotic resistant genes and microbial community in Ili river).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
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                "geocoordinates": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006056/analyses?format=api"
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                    "data": [
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                            "id": "root:Environmental:Aquatic:Freshwater:Lentic",
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                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lentic?format=api"
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                    ]
                },
                "publications": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006056/publications?format=api"
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                },
                "samples": {
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                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006056/samples?format=api"
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                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006056?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006093",
            "attributes": {
                "accession": "MGYS00006093",
                "bioproject": "PRJEB49347",
                "samples-count": 1,
                "is-private": false,
                "last-update": "2022-12-22T08:34:16",
                "secondary-accession": "ERP133843",
                "centre-name": "Matsapume",
                "public-release-date": null,
                "study-abstract": "Water samples",
                "study-name": "SKUD_TH_water",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/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"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006093?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006055",
            "attributes": {
                "accession": "MGYS00006055",
                "bioproject": "PRJEB52663",
                "samples-count": 19,
                "is-private": false,
                "last-update": "2022-09-05T09:42:58",
                "secondary-accession": "ERP137391",
                "centre-name": "Vale Technological Institute",
                "public-release-date": null,
                "study-abstract": "The crust of lateritic (canga)  is a particular environment to be a ferruginous complex that inhabiting a high species diversity, high endemism and unique species compositions generally metal-tolerant (see Jacobi et al. 2007). Lakes are formed in the top of Canga which are maintained by local rainfall patterns. Information about  the formation and dynamics of these lakes are scarce, considering that microorganisms play crucial roles in ecosystem functioning, here we aimed to understand the relationship between microbial diversity, functions and environmental parameters that sustain this peculiar amazonian environment. In this study, we compare the taxonomic and functional structure of the microbial communities from sediment in three neighboring lakes on top of the extensive lateritic crust in the southeast Amazon Basin using shotgun metagenome sequencing",
                "study-name": "Microbiome Signature in Natural Lakes",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006055?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006057",
            "attributes": {
                "accession": "MGYS00006057",
                "bioproject": "PRJEB54020",
                "samples-count": 7,
                "is-private": false,
                "last-update": "2022-08-25T09:33:08",
                "secondary-accession": "ERP138845",
                "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 PRJNA254927, and was assembled with metaSPAdes v3.15.3, metaSPAdes v3.14.1. This project includes samples from the following biomes: root:Environmental:Aquatic:Freshwater.",
                "study-name": "EMG produced TPA metagenomics assembly of PRJNA254927 data set (Freshwater habitats river Metagenome).",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lotic:Low land river systems",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lotic:Low%20land%20river%20systems?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006057?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00003961",
            "attributes": {
                "accession": "MGYS00003961",
                "bioproject": "PRJEB20123",
                "samples-count": 1143,
                "is-private": false,
                "last-update": "2022-07-29T09:03:36",
                "secondary-accession": "ERP022245",
                "centre-name": "UCSDMI",
                "public-release-date": null,
                "study-abstract": "Longterm data (up to 9 years) of 8 lakes situated in Northeastern Germany are provided. Samples were taken monthly on average dividing particle-associated (greater than 5.0um) and free-living (less than 5.0um, greater than 0.2um) microbes in the water column and in two lakes in the sediment. The lakes are all located closely to each other but differ in many physicochemical parameters such as pH and conductivity. Thus, similarities as well as dissimilarities of microbial communities are of high interest. One lake (Lake Tiefwaren) was sampled after phosphate restoration.",
                "study-name": "Long-term seasonal development in selected lakes of Northeast Germany",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003961?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00006035",
            "attributes": {
                "accession": "MGYS00006035",
                "bioproject": "PRJEB52688",
                "samples-count": 6,
                "is-private": false,
                "last-update": "2022-07-21T13:27:34",
                "secondary-accession": "ERP137418",
                "centre-name": "University of Graz",
                "public-release-date": null,
                "study-abstract": "During the construction phase of the Koralm railway tunnel several samples from different sites were analysed for the presence of microbes. 16S rDNA amplicon sequencing and subsequent microbial profiling revealed the presence of bacterial consortia typical for the deep continental subsurface dominated by autotrophs, methanotrophs and methylotrophs.\nReference: Koraimann G.; Bischof K. (2022) Characterisation of microbial biofilms from tunnel drainage water. Geomechanics and Tunnelling. 15 (2022), No. 4",
                "study-name": "Analyses of biofilms in drainage water during the construction phase of the Koralm railway tunnel",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Groundwater:Biofilm",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Groundwater:Biofilm?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006035?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00005530",
            "attributes": {
                "accession": "MGYS00005530",
                "bioproject": "PRJEB27579",
                "samples-count": 68,
                "is-private": false,
                "last-update": "2022-07-02T20:15:34",
                "secondary-accession": "ERP109674",
                "centre-name": "EAWAG",
                "public-release-date": null,
                "study-abstract": "A detailed sampling of the water column in proximity to the oxygen-methane interface of four stratified Swiss lakes was performed. Amplicon sequencing analysis of 16S rRNA and pmoA genes and 16S rRNA and pmoA transcripts was used to investigate the active methane-oxidizing bacteria inhabiting the oxygen-methane resource gradient.",
                "study-name": "Niche partitioning of methanotrophs in stratified lakes",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00005530?format=api"
            }
        },
        {
            "type": "studies",
            "id": "MGYS00003962",
            "attributes": {
                "accession": "MGYS00003962",
                "bioproject": "PRJEB15148",
                "samples-count": 1505,
                "is-private": false,
                "last-update": "2022-03-21T21:57:10",
                "secondary-accession": "ERP016854",
                "centre-name": "UCSDMI",
                "public-release-date": null,
                "study-abstract": "Bog lakes such as Mary Lake in northern Wisconsin are ideal systems to investigate microbial communities due to easily identified spatial boundaries and well characterized seasonal ecosystem dynamics. Multiple factors are thought to influence the bacterial communities within the lake, and our goal in this study was to analyze the spatial and temporal factors causing the variations between these populations. Molecular techniques and statistical analyses were performed to gain insight into which differences caused the greatest variability. The bacterial communities were analyzed based on conserved 16S ribosomal RNA sequences as well as on short base pair sequence reads obtained from a time series in 2009 in order to determine whether the bacterial community was more variable in space or in time. We found that while the upper and lower thermal layers of the bog were composed of similar microbial communities, these communities had different temporal patterns throughout the time series.",
                "study-name": "Bacterial Community Spatial and Temporal Variation in a North Temperate Bog Lake",
                "data-origination": "SUBMITTED"
            },
            "relationships": {
                "downloads": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/downloads?format=api"
                    }
                },
                "geocoordinates": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/geocoordinates?format=api"
                    }
                },
                "analyses": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/analyses?format=api"
                    }
                },
                "biomes": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/biomes?format=api"
                    },
                    "data": [
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Lake",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Lake?format=api"
                            }
                        },
                        {
                            "type": "biomes",
                            "id": "root:Environmental:Aquatic:Freshwater:Wetlands:Bog",
                            "links": {
                                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Environmental:Aquatic:Freshwater:Wetlands:Bog?format=api"
                            }
                        }
                    ]
                },
                "publications": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/publications?format=api"
                    }
                },
                "samples": {
                    "links": {
                        "related": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962/samples?format=api"
                    }
                }
            },
            "links": {
                "self": "https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00003962?format=api"
            }
        }
    ],
    "meta": {
        "pagination": {
            "page": 1,
            "pages": 14,
            "count": 327
        }
    }
}