From 99c42f76b02f9084d0757eb0c52b4a55fa295a95 Mon Sep 17 00:00:00 2001 From: Christoph Helma Date: Fri, 11 Nov 2016 17:19:13 +0100 Subject: p-chem regression and enm import fixed --- ...-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json | 169 --------------------- 1 file changed, 169 deletions(-) delete mode 100644 test/data/enm/study-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json (limited to 'test/data/enm/study-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json') diff --git a/test/data/enm/study-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json b/test/data/enm/study-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json deleted file mode 100644 index 2c13257..0000000 --- a/test/data/enm/study-FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b.json +++ /dev/null @@ -1,169 +0,0 @@ -{ - "uuid": "FCSV-ea4deeaa-563c-3169-8cd5-a64a41dea48b", - "owner": { - "substance": { - "uuid": "FCSV-acbbde2e-0238-3d4c-a2f4-7629ad478e6a" - }, - "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": "DLS", - "guideline": [ - "doi: 10.1021/nn406018q" - ] - }, - "parameters": { - "DATA_GATHERING_INSTRUMENTS": "ZetaSizer Nano ZS (Malvern Instruments)", - "Type of method": "DLS", - "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": "Z-Average Hydrodynamic Diameter", - "conditions": { - "MEDIUM": " ", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loQualifier": "mean", - "loValue": 78.47, - "errQualifier": "sd", - "errorValue": 1.65 - } - }, - { - "endpoint": "Z-Average Hydrodynamic Diameter", - "conditions": { - "MEDIUM": "Human serum (Sigma #H4522)", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loQualifier": "mean", - "loValue": 94.45, - "errQualifier": "sd", - "errorValue": 3.26 - } - }, - { - "endpoint": "Volume Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": " ", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 63.26, - "errQualifier": "sd", - "errorValue": 12.38 - } - }, - { - "endpoint": "Volume Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": "Human serum (Sigma #H4522)", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 89.7, - "errQualifier": "sd", - "errorValue": 6.08 - } - }, - { - "endpoint": "Number Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": " ", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 85.49, - "errQualifier": "sd", - "errorValue": 15.47 - } - }, - { - "endpoint": "Number Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": "Human serum (Sigma #H4522)", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 79.84, - "errQualifier": "sd", - "errorValue": 11.1 - } - }, - { - "endpoint": "Intensity Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": " ", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 85.49, - "errQualifier": "sd", - "errorValue": 1.59 - } - }, - { - "endpoint": "Intensity Mean Hydrodynamic Diameter", - "conditions": { - "MEDIUM": "Human serum (Sigma #H4522)", - "PHRASEOTHER_PERCENTILE": null, - "Remark": null, - "SEQ_NUM": null - }, - "result": { - "unit": "nm", - "loValue": 100.92, - "errQualifier": "sd", - "errorValue": 1.8 - } - } - ] -} -- cgit v1.2.3