Titration Replicates — Mean, SD, SEM and RSD (.csv)
Four batches of five replicate titrations with the mean, sample standard deviation, standard error and relative standard deviation computed for each. The standard deviation uses the n-1 denominator, which is stated explicitly because a population-denominator implementation disagrees on every row.
batch,replicate_1_mol_L,replicate_2_mol_L,replicate_3_mol_L,replicate_4_mol_L,replicate_5_mol_L,mean_mol_L,sd_mol_L,sem_mol_L,rsd_percent
B01,0.100920,0.101731,0.101754,0.102020,0.101308,0.101547,0.000433,0.000194,0.427
B02,0.102009,0.101533,0.101668,0.101940,0.101641,0.101758,0.000205,0.000092,0.202
B03,0.101280,0.101500,0.101720,0.100955,0.101674,0.101426,0.000315,0.000141,0.310
B04,0.101246,0.101794,0.101756,0.102146,0.101313,0.101651,0.000372,0.000167,0.366
Specifications
- Batches
- 4
- Replicates Per Batch
- 5
- Columns
- 10
- Unit
- mol/L
- Sd Convention
- sample standard deviation, ddof = 1
- Sem Rule
- sd / sqrt(n)
- Seed
- 20260838
Testing contract
Reference control- Scenario
- Recompute the mean, sd, sem and rsd for each batch from the five replicate columns.
- Expected result
- Your values match the file to six decimals when the standard deviation uses ddof = 1; a population standard deviation is about 11 percent low on every row and never matches.
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
How to use this file for testing
“Titration Replicates — Mean, SD, SEM and RSD (.csv)” is a deterministic Novus Examples fixture for Scientific data, CSV parsing, Editor testing. Citation catalogs (BibTeX, RIS), chemistry structures (MDL Molfile, PDB), and gridded binary data (NetCDF, FITS) — for testing reference managers, molecule viewers, and scientific-data loaders.
Documented properties for this file: seed 20260838 · 10 columns. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Scientific fixtures are small, valid, and fully synthetic — no real organism, patient, sample, or observation. Point your parser or loader at the file and check it reads the documented records, variables, or headers; binary formats ship a readable twin or metadata listing for comparison.
Code examples
import pandas as pd
df = pd.read_csv("titration-replicates.csv")
print(df.head())
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