Brightway Flows 1.0
GitHub

Identity

Substance
fo-b4e56962dd5160c0 Molecular complex
Source
EF 3.1
Unit
kg
Context
Environmental → Air → Medium stack, <150 meters → Rural (<1000 people/square mile)
CAS
556-22-9
EC
209-116-8

Context

Dimension
Environmental
Media
Air
Population density
Rural (<1000 people/square mile)
Strata
Medium stack, <150 meters

Alternative labels

7

Source lists

2
List Version Source flow Name there Why this flow
EF 3.1 76f2b71d-f24b-4539-8158-f6afb66f7c4f glyodin The consensus list is built from this one, so this row is the flow itself rather than something matched to it.
ecoinvent 3.12 0379c3a8-5f94-5d56-8e00-9e2b2c378b96 Glyodin The CAS numbers are the same (556-22-9); both name the same compartment.

Concept associations

2
Source list Source flow Name there Compartment there Match Conversion
EF 3.1 76f2b71d-f24b-4539-8158-f6afb66f7c4f glyodin Emissions/Emissions to air/Emissions to non-urban air or from high stacks exactMatch —
ecoinvent 3.12 0379c3a8-5f94-5d56-8e00-9e2b2c378b96 Glyodin air / non-urban air or from high stacks closeMatch —

Characterisation factors

6

Every implementation that says anything about this flow. Published as is what this list did with the row: where more than one implementation states a number and they agree it publishes it as agreed; where only one speaks, as sole; where they disagree it publishes nothing and asks.

Method Implementation Category Place Factor Published as
EF 3.1 European Commission — JRC Ecotoxicity, freshwater — 186.31 —
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater — 186.31 —
EF 3.1 brightway-flows Ecotoxicity, freshwater — 186.31 agreed
EF 3.1 European Commission — JRC Ecotoxicity, freshwater_organics — 186.31 —
EF 3.1 ecoinvent Centre Ecotoxicity, freshwater_organics — 186.31 —
EF 3.1 brightway-flows Ecotoxicity, freshwater_organics — 186.31 agreed

This flow in the difference report

History

The change log and the PROV-O trail (2 consensus changes)

Open the changes page

These are the heaviest sections of this page and the least often read, so the page does not pay for them until you ask.

Full record

Flow JSON
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          "https://eplca.jrc.ec.europa.eu/permalink/EF3_1/EF-v3.1.zip"
        ]
      }
    },
    {
      "@type": "xkos:ConceptAssociation",
      "xkos:sourceConcept": {
        "@id": "https://vocab.brightway.one/ecoinvent/3.12/flow/0379c3a8-5f94-5d56-8e00-9e2b2c378b96",
        "skos:prefLabel": "Glyodin",
        "context": "air / non-urban air or from high stacks",
        "qudt:hasUnit": {
          "@id": "https://vocab.brightway.one/units/unit/KiloGM"
        },
        "skos:closeMatch": {
          "@id": "https://vocab.brightway.dev/elementary-flows/76f2b71d-f24b-4539-8158-f6afb66f7c4f"
        }
      },
      "xkos:targetConcept": {
        "@id": "https://vocab.brightway.dev/elementary-flows/76f2b71d-f24b-4539-8158-f6afb66f7c4f"
      },
      "provenance": {
        "prov:wasGeneratedBy": "merge_ecoinvent",
        "prov:wasAttributedTo": "brightway-flows",
        "prov:hadPrimarySource": [
          "ecoinvent:3.12:0379c3a8-5f94-5d56-8e00-9e2b2c378b96",
          "Glyodin",
          "",
          "algorithm.lookup_order=cas>ec>label",
          "algorithm.basis=cas:556-22-9",
          "algorithm.flow_object_candidates=1",
          "algorithm.elementary_candidates=14",
          "algorithm.selector_reason=exact-context-iri-match",
          "algorithm.score_rule=exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
        ],
        "prov:wasDerivedFrom": "algorithmic_fallback:lookup_order(cas>ec>label);basis(cas:556-22-9);flow_object_candidates(1);elementary_candidates(14);selector(exact-context-iri-match);exact-iri-shortcircuit;up-tree-filter;score=(2*unit_exact)+context_overlap-context_penalty+context_iri_exact;contradiction-veto"
      }
    }
  ],
  "_sources": {
    "prefLabel": "normalize_name_case",
    "name": "bootstrap_labels",
    "synonyms": "bootstrap_labels",
    "context": "default_context_mapping",
    "context_iri": "default_context_mapping",
    "unit_iri": "unit_normalization",
    "properties": "normalise_property_values",
    "skos_definition": "enrich_references",
    "references": "enrich_references",
    "altLabel": "strip_catalogue_altlabels",
    "cas_match_labels": "consensus_match",
    "concept_associations": "carry_associations_onto_flows",
    "types": "link_flows_to_their_substance",
    "roles": "link_flows_to_their_substance"
  },
  "cas_match_labels": {
    "556-22-9": "exactMatch"
  },
  "_transformed": true,
  "_provided": {
    "name": "glyodin",
    "synonyms": [
      "1H-Imidazole, 2-heptadecyl-4,5-dihydro-, acetate (1:1)",
      "2-HEPTADECYL-2-IMIDAZOLINE ACETATE",
      "2-Heptadecyl glyoxalidine acetate",
      "2-Heptadecyl-4,5-dihydro-1H-imidazolyl monoacetate",
      "2-Imidazoline, 2-heptadecyl-, acetate",
      "2-Imidazoline, 2-heptadecyl-, monoacetate",
      "2-heptadecyl-4,5-dihydro-1H-imidazole",
      "AC1L1WQP",
      "Crag 341",
      "Crag fruit fungicide 341",
      "Crag fungicide 341",
      "Experimental fungicide 341",
      "Glyodin acetate",
      "Glyoxalidin",
      "Glyoxide",
      "Glyoxide dry",
      "acetic acid"
    ],
    "context": [
      "Emissions",
      "Emissions to air",
      "Emissions to non-urban air or from high stacks"
    ],
    "cas_numbers": [
      "556-22-9"
    ],
    "ec_numbers": [
      "209-116-8"
    ],
    "unit": "kg"
  }
}

Something wrong here?

A flow can be wrong in three ways, and they are decided differently. Pick the one that matches what you are looking at.

You do not need to run a build or clone anything. Name the row and say what your evidence is; the measurement is done for you. How contributing works

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