This readme file was generated on [2022-07-11] by [Mario G F Esperanca Junior] GENERAL INFORMATION Title of Dataset: Data from: An efficient method for estimating vein density of Glossopteris and its application Author/Principal Investigator Information Name: Mario G F Esperanca Junior ORCID:0000-0002-5338-9000 Institution: Universidade Federal do Rio Grande do Sul Address: Av Bento Goncalves 9500, Porto Alegre, Brazil Email: mario.esperancajr@gmail.com Author/Associate or Co-investigator Information Name: Gabriela B Cybis ORCID: 0000-0002-2791-6735 Institution: Universidade Federal do Rio Grande do Sul Address: Av Bento Goncalves 9500, Porto Alegre, Brazil Email: gcybis@gmail.com Author/Associate or Co-investigator Information Name: Roberto Iannuzzi ORCID: 0000-0003-1432-8106 Institution: Universidade Federal do Rio Grande do Sul Address: Av Bento Goncalves 9500, Porto Alegre, Brazil Email: riannuzzi662@gmail.com Date of data collection: 2016-2021 SHARING/ACCESS INFORMATION Publications that cite or use the data: ESPERANÇA JÚNIOR, M. G. F., CYBIS, G. B. and IANNUZZI, R. 2022. An efficient method for estimating vein density of Glossopteris and its application. Palaeontology. Recommended citation for this dataset: ESPERANÇA JÚNIOR, M. G. F., CYBIS, G. B. and IANNUZZI, R. 2022. Data from: An efficient method for estimating vein density of Glossopteris and its application. Dryad Digital Repository. https://datadryad.org/stash/share/XXXX Data Licensing: Public Domain Dedication and License DATA & FILE OVERVIEW File List: README.txt : This document, containing information about the dataset. GlossopterisData.csv : List of samples and measurements used in the development of the model proposed in the paper 'An efficient method for estimating vein density of Glossopteris and its application'. CalculateInR.txt : Script with commands in R for estimating vein density. METHODOLOGICAL INFORMATION Description and instruction of methods used for collection/generation of data: 1 - Open the software Fiji/ImageJ (RASBAND, 1997); 2 - Select "Open" in the tab "File" to import pictures or illustration of Glossopteris leaves. Use "+" or "-" keys to zoom in an area where veins are preserved; 3 - Superimpose manually the scale bar using the tool "Straight". Start with a single mouse click, finish with a double click (same for all tools). Select "Set scale" in the tab "Analyze" for calibration; 4 - Superimpose manually the conical sector using the tool "Polygon selection" to measure it, extending the sector as far as possible between the leaf margin and the midrib. Press "T" for save it in the ROI Manager. Select "Show All" and "Label" in ROI Manager for visualization; 5 - Using "Angle tool", check that the angle comprised in the conical sector is equal to 90º. Otherwise, turn back to 4. 6 - Left-click on the "Straight" tool and select "Segmented Line". Superimpose manually the veins within the conical sector for measuring vein lengths, and press "T" for save each of them in ROI Manager; 7 - Superimpose manually the straight sides of the conical sector using the tool "Straight" to measure predictors x and y later. Press "T" for save them in ROI Manager; 8 - Do the same as in 7 to measure predictor z, making a segment with the same endpoint of x and y, delimited by the conic sector and 45º from the straight sides of the conic sector (match the angle using "Angle tool"); 9 - Save by selecting all elements from ROI Manager, and press "Save". Note the number of the photo or sample used. 10 - Select all elements from ROI Manager and press "Measure". In the window "Results", certify that "Area" is selected clicking on "Set Measurements" in the tab "Results". Save it as a spreadsheet; 11 - Open the spreadsheet. Verify the label of the vein lengths measured in 6. Sum them. 12 - In the worksheet, verify the label of the area measured in 4. Divide the sum in 11 by this area. This is the exact venation density. 13 - In the worksheet, verify the label of the segments which define the predictors (items 6 and 7). In ImageJ, count the number of veins sectioned by such segments, and divide each one by the segment lengths. These are the measures of the predictors. 14 - Transfer the measurements obtained in 12 and 13 to another worksheet, which contains the collect data. Note the number of the photo or sample used. Save it. Close ImageJ and worksheets. 15 - Repeat for as many samples as you like. People involved with sample collection, processing, analysis and/or submission: Mario G F Esperanca Junior Gabriela B Cybis Roberto Iannuzzi DATA-SPECIFIC INFORMATION FOR: GlossopterisData.csv Number of variables: 9 Number of cases/rows: 229 Variable List: Specimen : Sample number VenationDensity : Vein density calculated as the veins length divided by the area of the conical sector, in cm-1; x : Vein density calculated as the number of veins per centimetre, in a segment perpendicular to the leaf margin, delimited by the conical sector; y : Vein density calculated as the number of veins per centimetre, in a segment parallel to the leaf margin, delimited by the conical sector; z : Vein density calculated as the number of veins per centimetre, in a segment at 45º from the others, delimited by the conical sector; Factor : D1 (wet environment assemblage) or D2 (dry environment assemblage); Region : Where the fossil was collected (South America, India, Australia or Antarctica); Ages : Age of the fossil (EP - Early Permian; LP - Late Permian; ET - Early Triassic); Source : Reference for fossil picture. Missing data codes: NA Legend of fossil plant collections: GP/3T, GP/3E, AF/GP = Universidade de São Paulo (USP), Brazil MP-Pb = Universidade Federal do Rio Grande do Sul (UFRGS), Brazil GSI = Geological Survey of India BSIP = Birbal Sahni Institue of Palaeobotany, India F = University of Queensland, Australia Pm = University of Kansas (KU), U.S.A. DDPC = Divya Darshan Pant Collection, Botany Dept., Allahabad University, India References: Bernardes-de-Oliveira, MEC. Tafoflora Eogondvânica da camada Irapuá, Formação Rio Bonito (Grupo Tubarão), SC [dissertation]. São Paulo (Brazil): Universidade de São Paulo; 1977. Portuguese. Chandra S, Surange KR. Revision of the Indian species of Glossopteris Monograph 2. Lucknow: Birbal Sahni Institute of Palaeobotany; 1979. p. 291. McLoughlin S. Late Permian plant megafossils from the Bowen Basin, Queensland, Australia: Part 2. Palaeontographica Abteilung B. 1994;231:1–29. McLoughlin S. Late Permian plant megafossils from the Bowen Basin, Queensland, Australia: Part 3. Palaeontographica Abteilung B. 1994b;231:31–62. Rasband, W. S. 1997. ImageJ. U. S. National Institutes of Health, Bethesda. Rohn R, Babinksi MECB, Rösler O. Glossopteris da Formação Rio do Rasto no sul do estado do Paraná: In: Congresso Brasileiro de Geologia, Rio de Janeiro, Brazil, . 1984 p. 1047-1061 [in Portuguese]. Rohn R, Rösler O. Folhas denteadas da Formação Rio do Rasto (Bacia do Paraná, Permiano Superior) e seu possível significado paleoclimático. Boletim Instituto de Gêociencias Universidade de São Paulo. 1989;7:127-137. Portuguese. Taylor TN, Taylor EL. Permian plants frorn the Ellsworth Mountains, West Antarctica. Geological Society of America. 1992;170:285-294. Taylor TN, Taylor EL, Krings M. Paleobotany: The Biology and Evolution of Fossil Plants. 2nd ed. Oxford: Elsevier; 2009. Tybusch GP, Iannuzzi R. Glossopteris occidentalis White emended: geographic and biostratigraphic implications. Revista Brasileira de Paleontologia. 2010;13:33–40.