Dataset Viewer
s stringlengths 1 217 | p stringclasses 235
values | o stringlengths 1 182 | src stringclasses 91
values |
|---|---|---|---|
LVFAILURE | bayesian_causes | HISTORY | bnlearn/alarm:2.0 |
LVEDVOLUME | bayesian_causes | CVP | bnlearn/alarm:2.0 |
LVEDVOLUME | bayesian_causes | PCWP | bnlearn/alarm:2.0 |
HYPOVOLEMIA | bayesian_causes | LVEDVOLUME | bnlearn/alarm:2.0 |
LVFAILURE | bayesian_causes | LVEDVOLUME | bnlearn/alarm:2.0 |
HYPOVOLEMIA | bayesian_causes | STROKEVOLUME | bnlearn/alarm:2.0 |
LVFAILURE | bayesian_causes | STROKEVOLUME | bnlearn/alarm:2.0 |
ERRLOWOUTPUT | bayesian_causes | HRBP | bnlearn/alarm:2.0 |
HR | bayesian_causes | HRBP | bnlearn/alarm:2.0 |
ERRCAUTER | bayesian_causes | HREKG | bnlearn/alarm:2.0 |
HR | bayesian_causes | HREKG | bnlearn/alarm:2.0 |
ERRCAUTER | bayesian_causes | HRSAT | bnlearn/alarm:2.0 |
HR | bayesian_causes | HRSAT | bnlearn/alarm:2.0 |
ANAPHYLAXIS | bayesian_causes | TPR | bnlearn/alarm:2.0 |
ARTCO2 | bayesian_causes | EXPCO2 | bnlearn/alarm:2.0 |
VENTLUNG | bayesian_causes | EXPCO2 | bnlearn/alarm:2.0 |
INTUBATION | bayesian_causes | MINVOL | bnlearn/alarm:2.0 |
VENTLUNG | bayesian_causes | MINVOL | bnlearn/alarm:2.0 |
FIO2 | bayesian_causes | PVSAT | bnlearn/alarm:2.0 |
VENTALV | bayesian_causes | PVSAT | bnlearn/alarm:2.0 |
PVSAT | bayesian_causes | SAO2 | bnlearn/alarm:2.0 |
SHUNT | bayesian_causes | SAO2 | bnlearn/alarm:2.0 |
PULMEMBOLUS | bayesian_causes | PAP | bnlearn/alarm:2.0 |
INTUBATION | bayesian_causes | SHUNT | bnlearn/alarm:2.0 |
PULMEMBOLUS | bayesian_causes | SHUNT | bnlearn/alarm:2.0 |
INTUBATION | bayesian_causes | PRESS | bnlearn/alarm:2.0 |
KINKEDTUBE | bayesian_causes | PRESS | bnlearn/alarm:2.0 |
VENTTUBE | bayesian_causes | PRESS | bnlearn/alarm:2.0 |
MINVOLSET | bayesian_causes | VENTMACH | bnlearn/alarm:2.0 |
DISCONNECT | bayesian_causes | VENTTUBE | bnlearn/alarm:2.0 |
VENTMACH | bayesian_causes | VENTTUBE | bnlearn/alarm:2.0 |
INTUBATION | bayesian_causes | VENTLUNG | bnlearn/alarm:2.0 |
KINKEDTUBE | bayesian_causes | VENTLUNG | bnlearn/alarm:2.0 |
VENTTUBE | bayesian_causes | VENTLUNG | bnlearn/alarm:2.0 |
INTUBATION | bayesian_causes | VENTALV | bnlearn/alarm:2.0 |
VENTLUNG | bayesian_causes | VENTALV | bnlearn/alarm:2.0 |
VENTALV | bayesian_causes | ARTCO2 | bnlearn/alarm:2.0 |
ARTCO2 | bayesian_causes | CATECHOL | bnlearn/alarm:2.0 |
INSUFFANESTH | bayesian_causes | CATECHOL | bnlearn/alarm:2.0 |
SAO2 | bayesian_causes | CATECHOL | bnlearn/alarm:2.0 |
TPR | bayesian_causes | CATECHOL | bnlearn/alarm:2.0 |
CATECHOL | bayesian_causes | HR | bnlearn/alarm:2.0 |
HR | bayesian_causes | CO | bnlearn/alarm:2.0 |
STROKEVOLUME | bayesian_causes | CO | bnlearn/alarm:2.0 |
CO | bayesian_causes | BP | bnlearn/alarm:2.0 |
TPR | bayesian_causes | BP | bnlearn/alarm:2.0 |
asia | bayesian_causes | tub | bnlearn/asia:1.0 |
smoke | bayesian_causes | lung | bnlearn/asia:1.0 |
smoke | bayesian_causes | bronc | bnlearn/asia:1.0 |
lung | bayesian_causes | either | bnlearn/asia:1.0 |
tub | bayesian_causes | either | bnlearn/asia:1.0 |
either | bayesian_causes | xray | bnlearn/asia:1.0 |
bronc | bayesian_causes | dysp | bnlearn/asia:1.0 |
either | bayesian_causes | dysp | bnlearn/asia:1.0 |
komm | bayesian_causes | nedbarea | bnlearn/barley:1.0 |
jordtype | bayesian_causes | nmin | bnlearn/barley:1.0 |
nedbarea | bayesian_causes | nmin | bnlearn/barley:1.0 |
komm | bayesian_causes | aar_mod | bnlearn/barley:1.0 |
jordtype | bayesian_causes | aar_mod | bnlearn/barley:1.0 |
jordtype | bayesian_causes | potnmin | bnlearn/barley:1.0 |
forfrugt | bayesian_causes | potnmin | bnlearn/barley:1.0 |
nmin | bayesian_causes | jordn | bnlearn/barley:1.0 |
aar_mod | bayesian_causes | jordn | bnlearn/barley:1.0 |
potnmin | bayesian_causes | jordn | bnlearn/barley:1.0 |
jordtype | bayesian_causes | exptgens | bnlearn/barley:1.0 |
forfrugt | bayesian_causes | exptgens | bnlearn/barley:1.0 |
pesticid | bayesian_causes | exptgens | bnlearn/barley:1.0 |
nmin | bayesian_causes | mod_nmin | bnlearn/barley:1.0 |
aar_mod | bayesian_causes | mod_nmin | bnlearn/barley:1.0 |
forfrugt | bayesian_causes | ngodnt | bnlearn/barley:1.0 |
exptgens | bayesian_causes | ngodnt | bnlearn/barley:1.0 |
mod_nmin | bayesian_causes | ngodnt | bnlearn/barley:1.0 |
exptgens | bayesian_causes | nopt | bnlearn/barley:1.0 |
pesticid | bayesian_causes | nopt | bnlearn/barley:1.0 |
nopt | bayesian_causes | ngodnn | bnlearn/barley:1.0 |
jordn | bayesian_causes | ngodnn | bnlearn/barley:1.0 |
ngodnt | bayesian_causes | ngodn | bnlearn/barley:1.0 |
ngodnn | bayesian_causes | ngodn | bnlearn/barley:1.0 |
jordn | bayesian_causes | nprot | bnlearn/barley:1.0 |
ngodn | bayesian_causes | nprot | bnlearn/barley:1.0 |
jordtype | bayesian_causes | rokap | bnlearn/barley:1.0 |
saatid | bayesian_causes | dgv1059 | bnlearn/barley:1.0 |
rokap | bayesian_causes | dgv1059 | bnlearn/barley:1.0 |
sort | bayesian_causes | srtprot | bnlearn/barley:1.0 |
saatid | bayesian_causes | dg25 | bnlearn/barley:1.0 |
ngodn | bayesian_causes | ngtilg | bnlearn/barley:1.0 |
nplac | bayesian_causes | ngtilg | bnlearn/barley:1.0 |
dg25 | bayesian_causes | ngtilg | bnlearn/barley:1.0 |
ngtilg | bayesian_causes | ntilg | bnlearn/barley:1.0 |
jordn | bayesian_causes | ntilg | bnlearn/barley:1.0 |
saamng | bayesian_causes | saakern | bnlearn/barley:1.0 |
tkvs | bayesian_causes | saakern | bnlearn/barley:1.0 |
saatid | bayesian_causes | frspdag | bnlearn/barley:1.0 |
frspdag | bayesian_causes | jordinf | bnlearn/barley:1.0 |
partigerm | bayesian_causes | markgrm | bnlearn/barley:1.0 |
jordinf | bayesian_causes | markgrm | bnlearn/barley:1.0 |
saakern | bayesian_causes | antplnt | bnlearn/barley:1.0 |
markgrm | bayesian_causes | antplnt | bnlearn/barley:1.0 |
sort | bayesian_causes | sorttkv | bnlearn/barley:1.0 |
antplnt | bayesian_causes | aks_m2 | bnlearn/barley:1.0 |
harmonia-graph-causal
Causal graph triples from structured sources: bnlearn Bayesian networks, Reactome pathways, STRING protein interactions, SIGNOR signaling, Wikidata causal properties, ConceptNet causal relations, Tübingen cause-effect pairs, and 60+ Harmonia Structural Causal Models covering the full human experience.
Schema
Every row: s (subject), p (predicate), o (object), src (provenance)
src format: dataset:version:file
Part of the Harmonia Graph Pipeline
causal → code → human → raw → merged → final
Built by Hailstone Technologies
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