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Datasets From An Interlaboratory Comparison To Characterize A Multi-modal Polydisperse Sub-micrometer Bead Dispersion

National Institute of Standards and Technology

@usgov.national_institute_of_standard_datasets_from_an_interl_bb6042bb

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About this Dataset

Datasets From An Interlaboratory Comparison To Characterize A Multi-modal Polydisperse Sub-micrometer Bead Dispersion

These four data files contain datasets from an interlaboratory comparison that characterized a polydisperse five-population bead dispersion in water. A more detailed version of this description is available in the ReadMe file (PdP-ILC_datasets_ReadMe_v1.txt), which also includes definitions of abbreviations used in the data files. Paired samples were evaluated, so the datasets are organized as pairs associated with a randomly assigned laboratory number. The datasets are organized in the files by instrument type: PTA (particle tracking analysis), RMM (resonant mass measurement), ESZ (electrical sensing zone), and OTH (other techniques not covered in the three largest groups, including holographic particle characterization, laser diffraction, flow imaging, and flow cytometry). In the OTH group, the specific instrument type for each dataset is noted. Each instrument type (PTA, RMM, ESZ, OTH) has a dedicated file. Included in the data files for each dataset are: (1) the cumulative particle number concentration (PNC, (1/mL)); (2) the concentration distribution density (CDD, (1/mL·nm)) based upon five bins centered at each particle population peak diameter; (3) the CDD in higher resolution, varied-width bins. The lower-diameter bin edge (µm) is given for (2) and (3). Additionally, the PTA, RMM, and ESZ files each contain unweighted mean cumulative particle number concentrations and concentration distribution densities calculated from all datasets reporting values. The associated standard deviations and standard errors of the mean are also given. In the OTH file, the means and standard deviations were calculated using only data from one of the sub-groups (holographic particle characterization) that had n = 3 paired datasets. Where necessary, datasets not using the common bin resolutions are noted (PTA, OTH groups). The data contained here are presented and discussed in a manuscript to be submitted to the Journal of Pharmaceutical Sciences and presented as part of that scientific record.
Organization: National Institute of Standards and Technology
Last updated: 2021-11-29T14:52:57.547700
Tags: biosciences-and-health, electrical-sensing-zone, flow-cytometry, flow-imaging, holographic-particle-characterization, laser-diffraction, particle, particle-tracking-analysis, protein-particle, resonant-mass-measurement, sub-micrometer-particle, subvisible-particle

Tables

PdP-ILC OTH-datasets

@usgov.national_institute_of_standard_datasets_from_an_interl_bb6042bb.pdp_ilc_oth_datasets
  • 20.82 KB
  • 82 rows
  • 25 columns
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CREATE TABLE pdp_ilc_oth_datasets (
  "dataset" VARCHAR,
  "d06fim_1" VARCHAR,
  "d06fim_2" VARCHAR,
  "d08hpc_1" VARCHAR,
  "d08hpc_2" VARCHAR,
  "d19hpc_1" VARCHAR,
  "d19hpc_2" VARCHAR,
  "d22hpc_1" VARCHAR,
  "d22hpc_2" VARCHAR,
  "d27qld_1" VARCHAR,
  "d27qld_2" VARCHAR,
  "unnamed_11" VARCHAR,
  "unnamed_12" VARCHAR,
  "unnamed_13" VARCHAR,
  "hpc_avg" VARCHAR,
  "hpc_sdv" VARCHAR,
  "hpc_semlab" VARCHAR,
  "unnamed_17" VARCHAR,
  "unnamed_18" VARCHAR,
  "d35fcy_1" DOUBLE,
  "d35fcy_2" DOUBLE,
  "d36fcy_1" DOUBLE,
  "d36fcy_2" DOUBLE,
  "unnamed_23" VARCHAR,
  "unnamed_24" VARCHAR
);

PdP-ILC PTA-datasets

@usgov.national_institute_of_standard_datasets_from_an_interl_bb6042bb.pdp_ilc_pta_datasets
  • 47.22 KB
  • 75 rows
  • 48 columns
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CREATE TABLE pdp_ilc_pta_datasets (
  "dataset" VARCHAR,
  "d02_1" VARCHAR,
  "d02_2" VARCHAR,
  "d04_1" VARCHAR,
  "d04_2" VARCHAR,
  "d05_1" VARCHAR,
  "d05_2" VARCHAR,
  "d07_1" VARCHAR,
  "d07_2" VARCHAR,
  "d09_1" VARCHAR,
  "d09_2" VARCHAR,
  "d11_1" VARCHAR,
  "d11_2" VARCHAR,
  "d13_1" VARCHAR,
  "d13_2" VARCHAR,
  "d14_1" VARCHAR,
  "d14_2" VARCHAR,
  "d20_1" VARCHAR,
  "d20_2" VARCHAR,
  "d21_1" VARCHAR,
  "d21_2" VARCHAR,
  "d23_1" VARCHAR,
  "d23_2" VARCHAR,
  "d24_1" VARCHAR,
  "d24_2" VARCHAR,
  "d26_1" VARCHAR,
  "d26_2" VARCHAR,
  "d28_1" VARCHAR,
  "d28_2" VARCHAR,
  "d29_1" VARCHAR,
  "d29_2" VARCHAR,
  "d31_1" VARCHAR,
  "d31_2" VARCHAR,
  "d32_1" VARCHAR,
  "d32_2" VARCHAR,
  "unnamed_35" VARCHAR,
  "unnamed_36" VARCHAR,
  "unnamed_37" VARCHAR,
  "pta_avg" VARCHAR,
  "pta_sdv" VARCHAR,
  "pta_semlab" VARCHAR,
  "unnamed_41" VARCHAR,
  "unnamed_42" VARCHAR,
  "d34_1" VARCHAR,
  "d34_2" VARCHAR,
  "unnamed_45" VARCHAR,
  "unnamed_46" VARCHAR,
  "unnamed_47" VARCHAR
);

PdP-ILC RMM-datasets

@usgov.national_institute_of_standard_datasets_from_an_interl_bb6042bb.pdp_ilc_rmm_datasets
  • 19.63 KB
  • 74 rows
  • 23 columns
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CREATE TABLE pdp_ilc_rmm_datasets (
  "dataset" VARCHAR,
  "d01_1" VARCHAR,
  "d01_2" VARCHAR,
  "d12_1" VARCHAR,
  "d12_2" VARCHAR,
  "d16_1" VARCHAR,
  "d16_2" VARCHAR,
  "d17_1" VARCHAR,
  "d17_2" VARCHAR,
  "d18_1" VARCHAR,
  "d18_2" VARCHAR,
  "d30_1" VARCHAR,
  "d30_2" VARCHAR,
  "d33_1" VARCHAR,
  "d33_2" VARCHAR,
  "unnamed_15" VARCHAR,
  "unnamed_16" VARCHAR,
  "unnamed_17" VARCHAR,
  "rmm_avg" VARCHAR,
  "rmm_sdv" VARCHAR,
  "rmm_semlab" VARCHAR,
  "unnamed_21" VARCHAR,
  "unnamed_22" VARCHAR
);

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