def METHOD_NAME(self, biosphere=None):
    new_biosphere = self.add_unlinked_flows_to_new_biosphere_database()
    main_biosphere = biosphere or config.biosphere
    print(
        "Created new database for EXIOBASE-specific biosphere flows: {}".format(
            new_biosphere
        )
    )
    add_biosphere_ids(
        self.biosphere_correspondence, [new_biosphere, main_biosphere]
    )
    self.write_activities_as_database()
    print("Created database of EXIOBASE activity metadata")
    add_product_ids(self.products, self.db_name)
    self.patch_lcia_methods(new_biosphere)
    print("Patching LCIA methods with EXIOBASE flows")
    product_mapping = {(o["name"], o["location"]): o["id"] for o in self.products}
    biosphere_mapping = {
        o["exiobase name"]: o["id"]
        for o in self.biosphere_correspondence
        if "id" in o
    }
    biosphere_scales = {
        o["exiobase name"]: float(o["scale factor"])
        for o in self.biosphere_correspondence
        if "id" in o
    }
    technosphere = itertools.chain(
        (
            {
                "row": product_mapping[x],
                "col": product_mapping[y],
                "amount": z,
                "flip": True,
                "uncertainty_type": 0,
            }
            for x, y, z in self.techosphere_iterator
        ),
        (
            {"row": x, "col": x, "amount": 1, "flip": False, "uncertainty_type": 0}
            for x in product_mapping.values()
        ),
    )
    biosphere = (
        {
            "row": biosphere_mapping[x],
            "col": product_mapping[y],
            "amount": z * biosphere_scales[x],
            "flip": False,
            "uncertainty_type": 0,
        }
        for x, y, z in self.biosphere_iterator
    )
    dependents = [new_biosphere, main_biosphere]
    IOTableBackend(self.db_name).write_exchanges(
        technosphere, biosphere, dependents
    )