This Dataset_ped_OCT readme.txt file was generated on 2022-08-02 by Salmen, Anke ------------------- GENERAL INFORMATION ------------------- 1. Title of dataset: Dataset_ped_OCT 2. Contributor information: Name: Salmen, Anke Role/Function: PI Institution: Inselspital Address: Freiburgstrasse, 3010 Bern Email: anke.salmen@insel.ch 3. Date of data collection: Nov-2011 to Jun-2012 4. Geographic location of data collection: Ruhr-University Bochum, Germany 5. Keywords describing the subject of your dataset: OCT, RNFL, GCL, paediatrics, neuropaediatrics, normal values 6. Information about funding sources that supported the collection of the data: none ------------------- SHARING/ACCESS INFORMATION ------------------- 1. Licenses/restrictions placed on the data: CC BY-NC 4.0 2. Links to publications that cite or use the data: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). 3. Links to other publicly accessible locations of the data: none 4. Links/relationships to additional data sets: https://doi.org/10.1007/s00415-022-11256-y 5. Was data derived from another source? yes/no. no 6. Recommended citation for this dataset: upon publication of the above mentioned manuscript, please acknowledge DOI of manuscript (PLOS ONE) and DOI of this dataset (https://doi.org/10.48620/68). --------------------- DATA & FILE OVERVIEW --------------------- 1. File List: Filename: Whole Dataset.csv Short description: OCT data of healthy subjects included in the study Date of creation: 01-Aug-2022 Filename: Outliers values.csv Short description: OCT data detected in the outlier analysis Date of creation: 01-Aug-2022 Filename: Outliers patient numbers.csv Short description: Link of line numbers of outlier analysis to anonymized subject number Date of creation: 01-Aug-2022 Filename: Outlier Summary.csv Short description: Amount of outliers per sector Date of creation: 01-Aug-2022 Filename: Dataset without outliers.csv Short description: Dataset of sectors without outliers Date of creation: 01-Aug-2022 Filename: Contingency.csv Short description: Fisher's exact test of subjects with and without outliers and with 1 or 2 eyes included Date of creation: 01-Aug-2022 2. Relationship between files: see descriptions in file list 3. Are there multiple versions of the dataset? yes/no no -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). 2. Methods for processing the data: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). 3. Instrument- or software-specific information needed to interpret the data: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). 4. Standards and calibration information: NA 5. Environmental/experimental conditions: NA 6. Describe any quality-assurance procedures performed on the data: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). 7. People involved with sample collection, processing, analysis and/or submission: Retinal layer segmentation in a cohort of healthy children via optical coherence tomography Anna-Katharina Runge, Jana Remlinger, Mathias Abegg, Thomas Ferrazzini, Dominik Brügge, Katharina Weigt-Usinger, Thomas Lücke, Ralf Gold, Anke Salmen To be published in PLOS ONE (currently in revision). ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Whole Dataset ----------------------------------------- 1. Number of variables: 167 2. Number of cases/rows: 72 cases, 144 rows 3. Variable List - Anonymized assigned number - Age in years - Sex male=0 female =1 - Eye L=0 R=1 (L=left, R=right) - Segmentation data of macula scans -- ILM-BM: inner limiting membrane to basal membrane (corresponding to whole retina) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- ILM-RNFL: inner limiting membrane to RNFL (corresponding to RNFL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- RNFL-GCL: RNFL to GCL (corresponding to GCL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- GCL-IPL: GCL to IPL (corresponding to IPL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- IPL-INL: IPL to INL (corresponding to INL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- INL-OPL: INL to OPL (corresponding to OPL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- OPL-EML: OPL to EML (corresponding to ONL) --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- RPE-BM: RPE to BM --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- ILM-ELM: ILM to ELM --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) -- ELM-BM: ELM to BM --- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) - Peripapillary RNFL scan -- Quality -- ART -- Sector values (G, PMB, NT_ratio, NS, N, NI, TI, T, TS) - Preset macula scan values -- Total volume, sector values (C0, N1, N2, S1, S2, T1, T2, I1, I2, Center, Central min, Central max, Mean all sectors) 4. Missing data codes: empty 5. Specialized formats of other abbreviations used all abbreviations explained in manuscript ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Outliers values ----------------------------------------- 1. Number of variables: 118 2. Number of cases/rows: 102 rows 3. Variable List - Line number - Segmentation data of macula scans for outliers, following the same order as whole dataset - Peripapillary RNFL scan data for outliers, following the same order as whole dataset 4. Missing data codes: empty 5. Specialized formats of other abbreviations used all abbreviations explained in manuscript ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Outliers patient numbers ----------------------------------------- 1. Number of variables: 2 2. Number of cases/rows: 102 3. Variable List - Line number - Anonymized assigned number 4. Missing data codes: none 5. Specialized formats of other abbreviations used none ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Outlier Summary ----------------------------------------- 1. Number of variables: 118 2. Number of cases/rows: 2 3. Variable List - Method of outlier detection and level of Q - Number of total values - Number of outliers - Sectors of macula scans, following the same order as whole dataset - Sectors of peripapillary RNFL scans, following the same order as whole dataset 4. Missing data codes: none 5. Specialized formats of other abbreviations used none ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Dataset without outliers ----------------------------------------- 1. Number of variables: 117 2. Number of cases/rows: 144 rows 3. Variable List - Segmentation data of macula scans without outliers, following the same order as whole dataset - Peripapillary RNFL scan data without outliers, following the same order as whole dataset 4. Missing data codes: empty 5. Specialized formats of other abbreviations used all abbreviations explained in manuscript ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Contingency ----------------------------------------- 1. Number of variables: 2 2. Number of cases/rows: 2 3. Variable List - Outlier present yes / no - Both eyes in analysis yes / no - Statistical analysis details 4. Missing data codes: none 5. Specialized formats of other abbreviations used none