From 99c42f76b02f9084d0757eb0c52b4a55fa295a95 Mon Sep 17 00:00:00 2001
From: Christoph Helma <helma@in-silico.ch>
Date: Fri, 11 Nov 2016 17:19:13 +0100
Subject: p-chem regression and enm import fixed

---
 ...-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json | 114 ---------------------
 1 file changed, 114 deletions(-)
 delete mode 100644 test/data/enm/study-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json

(limited to 'test/data/enm/study-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json')

diff --git a/test/data/enm/study-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json b/test/data/enm/study-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json
deleted file mode 100644
index 6642ce0..0000000
--- a/test/data/enm/study-FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66.json
+++ /dev/null
@@ -1,114 +0,0 @@
-{
-  "uuid": "FCSV-1c3cc46d-d53e-39e8-95da-59cc630d9d66",
-  "owner": {
-    "substance": {
-      "uuid": "FCSV-1f4a28c8-ecc6-342f-8cbf-1ed579dd34f4"
-    },
-    "company": {
-      "uuid": "FCSV-319611c6-e7da-3977-a5ac-eb74d49a4319",
-      "name": "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles.csv"
-    }
-  },
-  "citation": {
-    "title": "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles.csv",
-    "year": "2014",
-    "owner": null
-  },
-  "protocol": {
-    "topcategory": "P-CHEM",
-    "category": {
-      "code": "PC_GRANULOMETRY_SECTION",
-      "term": "http://purl.obolibrary.org/obo/CHMO_0002119",
-      "title": "4.5 Particle size distribution (Granulometry)"
-    },
-    "endpoint": "TEM",
-    "guideline": [
-      "doi: 10.1021/nn406018q"
-    ]
-  },
-  "parameters": {
-    "DATA_GATHERING_INSTRUMENTS": "Tecnai 20 (FEI) microscope;Tecnai 20 (FEI) microscope;AMT 16000 camera",
-    "Type of method": "TEM",
-    "testmat_form": null
-  },
-  "reliability": {
-    "r_isRobustStudy": "false",
-    "r_isUsedforClassification": "false",
-    "r_isUsedforMSDS": "false",
-    "r_purposeFlag": null,
-    "r_studyResultType": "experimental result",
-    "r_value": null
-  },
-  "interpretation": {
-    "result": null
-  },
-  "effects": [
-    {
-      "endpoint": "Core size",
-      "conditions": {
-        "PHRASEOTHER_PERCENTILE": null,
-        "Remark": null,
-        "SEQ_NUM": null
-      },
-      "result": {
-        "unit": "nm",
-        "loQualifier": "mean",
-        "loValue": 38.4,
-        "errQualifier": "sd",
-        "errorValue": 2.5
-      }
-    },
-    {
-      "endpoint": "Density",
-      "conditions": {
-        "PHRASEOTHER_PERCENTILE": null,
-        "Remark": null,
-        "SEQ_NUM": null
-      },
-      "result": {
-        "unit": "g/cm^3",
-        "loQualifier": "",
-        "loValue": 10.5
-      }
-    },
-    {
-      "endpoint": "MW",
-      "conditions": {
-        "PHRASEOTHER_PERCENTILE": null,
-        "Remark": null,
-        "SEQ_NUM": null
-      },
-      "result": {
-        "unit": "g/mol",
-        "loQualifier": "",
-        "loValue": 108
-      }
-    },
-    {
-      "endpoint": "Mol/NP",
-      "conditions": {
-        "PHRASEOTHER_PERCENTILE": null,
-        "Remark": null,
-        "SEQ_NUM": null
-      },
-      "result": {
-        "unit": "",
-        "loQualifier": "",
-        "loValue": 0.0
-      }
-    },
-    {
-      "endpoint": "SA/NP",
-      "conditions": {
-        "PHRASEOTHER_PERCENTILE": null,
-        "Remark": null,
-        "SEQ_NUM": null
-      },
-      "result": {
-        "unit": "cm^2/NP",
-        "loQualifier": "",
-        "loValue": 0.0
-      }
-    }
-  ]
-}
-- 
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