best_fit_line_data	[['Rows', 'Best Fit Slope', 'Best Fit Intercept'], ['A1 - A6', '0.0', '0.0'], ['A7 - A12', '0.0', '0.0'], ['B1 - B6', '0.0011826581378820186', '0.00013930348258706465'], ['B7 - B12', '0.0005003553660270078', '8.457711442786069e-05'], ['C1 - C6', '-0.000955223880597015', '0.0006567164179104478'], ['C7 - C12', '-0.0007277896233120114', '0.0007860696517412936'], ['D1 - D6', '-0.002410803127221038', '0.0015621890547263683'], ['D7 - D12', '0.00022743425728500351', '0.00046268656716417914'], ['E1 - E6', '-0.0018194740582800283', '0.0009651741293532338'], ['E7 - E12', '-0.002001421464108031', '0.0013283582089552238'], ['F1 - F6', '-0.0008187633262260127', '0.00046766169154228857'], ['F7 - F12', '-0.000955223880597015', '0.0006567164179104478'], ['G1 - G6', '-0.000955223880597015', '0.0006567164179104478'], ['G7 - G12', '-0.0016375266524520256', '0.0006019900497512438'], ['H1 - H6', '0.003911869225302061', '-0.0003084577114427861'], ['H7 - H12', '-0.00027292110874200425', '0.0003781094527363184']]
contam	PASS
creators	[{'creatorName': 'BIO Team'}]
csvdata	Plate # Well Reading Hour Result 1 A1 12 0.0 1 A2 12 0.0 1 A3 12 0.0 1 A4 12 0.0 1 A5 12 0.0 1 A6 12 0.0 1 A7 12 0.0 1 A8 12 0.0 1 A9 12 0.0 1 A10 12 0.0 1 A11 12 0.0 1 A12 12 0.0 1 B1 12 0.001 1 B2 12 0.0 1 B3 12 0.0 1 B4 12 0.0 1 B5 12 0.001 1 B6 12 0.0 1 B7 12 0.0 1 B8 12 0.001 1 B9 12 0.0 1 B10 12 0.0 1 B11 12 0.0 1 B12 12 0.0 1 C1 12 0.0 1 C2 12 0.001 1 C3 12 0.0 1 C4 12 0.001 1 C5 12 0.0 1 C6 12 0.001 1 C7 12 0.0 1 C8 12 0.002 1 C9 12 0.0 1 C10 12 0.0 1 C11 12 0.0 1 C12 12 0.002 1 D1 12 0.0 1 D2 12 0.002 1 D3 12 0.0 1 D4 12 0.003 1 D5 12 0.001 1 D6 12 0.001 1 D7 12 0.0 1 D8 12 0.002 1 D9 12 0.0 1 D10 12 0.0 1 D11 12 0.001 1 D12 12 0.0 1 E1 12 0.0 1 E2 12 0.001 1 E3 12 0.0 1 E4 12 0.001 1 E5 12 0.0 1 E6 12 0.002 1 E7 12 0.0 1 E8 12 0.002 1 E9 12 0.0 1 E10 12 0.001 1 E11 12 0.002 1 E12 12 0.001 1 F1 12 0.0 1 F2 12 0.0 1 F3 12 0.001 1 F4 12 0.001 1 F5 12 0.0 1 F6 12 0.0 1 F7 12 0.0 1 F8 12 0.001 1 F9 12 0.0 1 F10 12 0.001 1 F11 12 0.0 1 F12 12 0.001 1 G1 12 0.0 1 G2 12 0.001 1 G3 12 0.0 1 G4 12 0.001 1 G5 12 0.0 1 G6 12 0.001 1 G7 12 0.0 1 G8 12 0.0 1 G9 12 0.0 1 G10 12 0.0 1 G11 12 0.001 1 G12 12 0.001 1 H1 12 0.002 1 H2 12 0.0 1 H3 12 0.0 1 H4 12 0.0 1 H5 12 0.0 1 H6 12 0.0 1 H7 12 0.0 1 H8 12 0.001 1 H9 12 0.0 1 H10 12 0.0 1 H11 12 0.001 1 H12 12 0.0
exp_type	Campaign2
publicationYear	2023
publisher	Argonne National Lab
resourceType	{'resourceType': 'Dataset', 'resourceTypeGeneral': 'Dataset'}
subjects	[{'subject': 'SDL'}]

wf_steps