Changes for page Practical Guide to Using the EBRAINS Knowledge Graph in (your) Research - User Examples
Last modified by maaike on 2022/07/05 20:42
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... ... @@ -76,7 +76,6 @@ 76 76 77 77 Go to the Query Builder: [[https:~~/~~/query.kg.ebrains.eu>>https://query.kg.ebrains.eu/#state=6a41dd5b-3cf9-4263-8a65-83d41f27677a&session_state=638c33f5-4551-4d70-8b1d-a5c900aa62d0&code=300f25d8-caac-4576-9a21-195ccc93fd31.638c33f5-4551-4d70-8b1d-a5c900aa62d0.4214dba9-b6d0-4331-9837-3e75a10cda14]] 78 78 79 - 80 80 ==== Select a category ==== 81 81 82 82 A query for the Knowledge Graph is always executed against a specific data structure (e.g. a "Dataset version"). First select the data structure for your query. ... ... @@ -84,7 +84,7 @@ 84 84 [[image:QB1.png||alt="Step 1: Select a category" height="520" width="700"]] 85 85 86 86 87 -==== Select a nexperimental approach ====86 +==== Select a modality/experimental approach ==== 88 88 89 89 Similar to the facetted filters in the Knowledge Graph Search UI, we can refine our query by defining the experimental approach of our interest, for example electrophysiology. 90 90 ... ... @@ -92,13 +92,6 @@ 92 92 93 93 [[image:QBstep2.png||alt="Step 2: Select modality" height="541" width="700"]] 94 94 95 - 96 -==== Select species ==== 97 - 98 -Similarly, we can refine our query for mice only. 99 - 100 -[[image:QBstep3.png||alt="Step 3: Select species" height="543" width="700"]] 101 - 102 102 = Who has access? = 103 103 104 104 Describe the audience of this collab.
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