{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T08:04:37Z","timestamp":1764403477259,"version":"3.41.2"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T00:00:00Z","timestamp":1748822400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T00:00:00Z","timestamp":1748822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["130068\/2022-5"],"award-info":[{"award-number":["130068\/2022-5"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Environ Monit Assess"],"DOI":"10.1007\/s10661-025-14174-4","type":"journal-article","created":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T01:50:58Z","timestamp":1748829058000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Extracting XCO2-NASA data with XCODEX: a Python package designed for data extraction and structuration"],"prefix":"10.1007","volume":"197","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7576-0731","authenticated-orcid":false,"given":"Henrique","family":"Fontellas Laurito","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6787-3717","authenticated-orcid":false,"given":"Tha\u00eds Rayane","family":"Gomes da Silva","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1575-9875","authenticated-orcid":false,"suffix":"Jr.","given":"Newton","family":"La Scala","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4683-3203","authenticated-orcid":false,"given":"Glauco","family":"de Souza Rolim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,2]]},"reference":[{"key":"14174_CR1","unstructured":"Alted, F., Vilata, I., Prater, S., Mas, V., Hedley, T., Valentino, A., et al. (2003). PyTables: Processing and analyzing extremely large amounts of data in python. PyTables, PyCon. https:\/\/pypi.org\/project\/tables\/. Accessed 19 Mar 2025."},{"key":"14174_CR2","doi-asserted-by":"publisher","first-page":"105808","DOI":"10.1016\/j.envsoft.2023.105808","volume":"168","author":"R Arsenault","year":"2023","unstructured":"Arsenault, R., Huard, D., Martel, J.-L., Troin, M., Mai, J., Brissette, F., et al. (2023). The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America. Environmental Modelling & Software, 168, 105808. https:\/\/doi.org\/10.1016\/j.envsoft.2023.105808","journal-title":"Environmental Modelling & Software"},{"key":"14174_CR3","doi-asserted-by":"publisher","unstructured":"Biri, S., Cornes, R. C., Berry, D. I., Kent, E. C., & Yelland, M. J. (2023). AirSeaFluxCode: Open-source software for calculating turbulent air-sea fluxes from meteorological parameters. Frontiers in Marine Science, 9. https:\/\/doi.org\/10.3389\/fmars.2022.1049168","DOI":"10.3389\/fmars.2022.1049168"},{"issue":"2","key":"14174_CR4","doi-asserted-by":"publisher","first-page":"270","DOI":"10.3390\/rs3020270","volume":"3","author":"H Boesch","year":"2011","unstructured":"Boesch, H., Baker, D., Connor, B., Crisp, D., & Miller, C. (2011). Global characterization of CO2 column retrievals from shortwave-infrared satellite observations of the Orbiting Carbon Observatory-2 mission. Remote Sensing, 3(2), 270\u2013304. https:\/\/doi.org\/10.3390\/rs3020270","journal-title":"Remote Sensing"},{"issue":"7716","key":"14174_CR5","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1038\/s41586-018-0358-x","volume":"560","author":"B Bond-Lamberty","year":"2018","unstructured":"Bond-Lamberty, B., Bailey, V. L., Chen, M., Gough, C. M., & Vargas, R. (2018). Globally rising soil heterotrophic respiration over recent decades. Nature, 560(7716), 80\u201383. https:\/\/doi.org\/10.1038\/s41586-018-0358-x","journal-title":"Nature"},{"issue":"7751","key":"14174_CR6","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1038\/s41586-019-1078-6","volume":"568","author":"P Ciais","year":"2019","unstructured":"Ciais, P., Tan, J., Wang, X., Roedenbeck, C., Chevallier, F., Piao, S.-L., et al. (2019). Five decades of northern land carbon uptake revealed by the interhemispheric CO2 gradient. Nature, 568(7751), 221\u2013225. https:\/\/doi.org\/10.1038\/s41586-019-1078-6","journal-title":"Nature"},{"issue":"10","key":"14174_CR7","doi-asserted-by":"publisher","first-page":"5227","DOI":"10.5194\/amt-9-5227-2016","volume":"9","author":"B Connor","year":"2016","unstructured":"Connor, B., B\u00f6sch, H., McDuffie, J., Taylor, T., Fu, D., Frankenberg, C., et al. (2016). Quantification of uncertainties in OCO-2 measurements of XCO2: Simulations and linear error analysis. Atmospheric Measurement Techniques, 9(10), 5227\u20135238. https:\/\/doi.org\/10.5194\/amt-9-5227-2016","journal-title":"Atmospheric Measurement Techniques"},{"issue":"2","key":"14174_CR8","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1002\/2017JD027836","volume":"123","author":"SMR Crowell","year":"2018","unstructured":"Crowell, S. M. R., Kawa, S. R., Browell, E. V., Hammerling, D. M., Moore, B., Schaefer, K., & Doney, S. C. (2018). On the ability of space-based passive and active remote sensing observations of CO2 to detect flux perturbations to the carbon cycle. Journal of Geophysical Research: Atmospheres, 123(2), 1460\u20131477. https:\/\/doi.org\/10.1002\/2017JD027836","journal-title":"Journal of Geophysical Research: Atmospheres"},{"key":"14174_CR9","doi-asserted-by":"publisher","first-page":"114379","DOI":"10.1016\/j.envres.2022.114379","volume":"215","author":"GA de Ara\u00fajo Santos","year":"2022","unstructured":"de Ara\u00fajo Santos, G. A., Filho, L. F. F. M., de Meneses, K. C., da Silva Junior, C. A., de Souza Rolim, G., & Scala, N. L. (2022). Hot spots and anomalies of CO2 over eastern Amazonia, Brazil: A time series from 2015 to 2018. Environmental Research, 215, 114379. https:\/\/doi.org\/10.1016\/j.envres.2022.114379","journal-title":"Environmental Research"},{"key":"14174_CR10","unstructured":"Durant, M. (2025). Fastparquet. GitHub. https:\/\/github.com\/dask\/fastparquet\/. Accessed 19 March 2025"},{"key":"14174_CR11","doi-asserted-by":"publisher","first-page":"105984","DOI":"10.1016\/j.envsoft.2024.105984","volume":"175","author":"C Dykman","year":"2024","unstructured":"Dykman, C., Sharma, A., Wasko, C., & Nathan, R. (2024). Pyraingen: A python package for constrained continuous rainfall generation. Environmental Modelling & Software, 175, 105984. https:\/\/doi.org\/10.1016\/j.envsoft.2024.105984","journal-title":"Environmental Modelling & Software"},{"key":"14174_CR12","doi-asserted-by":"publisher","unstructured":"Eldering, A., Wennberg, P. O., Crisp, D., Schimel, D. S., Gunson, M. R., Chatterjee, A., et al. (2017). The Orbiting Carbon Observatory-2 early science investigations of regional carbon dioxide fluxes. Science 358(6360). https:\/\/doi.org\/10.1126\/science.aam5745","DOI":"10.1126\/science.aam5745"},{"key":"14174_CR13","doi-asserted-by":"publisher","unstructured":"Filho, L. F. F. M., de Meneses, K. C., de Ara\u00fajo Santos, G. A., da Silva Bicalho, E., de Souza Rolim, G., & Jr, N. L. S. (2021). xCO2 temporal variability above Brazilian agroecosystems: a remote sensing approach. Journal of Environmental Management, 288, 112433 https:\/\/doi.org\/10.1016\/j.jenvman.2021.112433","DOI":"10.1016\/j.jenvman.2021.112433"},{"key":"14174_CR14","unstructured":"Gazoni, E., & Clark, C. (2024, May 29). Openpyxl - a Python library to read\/write Excel 2010 xlsx\/xlsm files. OpenPyXL. https:\/\/pypi.org\/project\/openpyxl\/. Accessed 19 March 2025"},{"issue":"7","key":"14174_CR15","doi-asserted-by":"publisher","first-page":"850","DOI":"10.3390\/rs11070850","volume":"11","author":"J Hakkarainen","year":"2019","unstructured":"Hakkarainen, J., Ialongo, I., Maksyutov, S., & Crisp, D. (2019). Analysis of four years of global XCO2 anomalies as seen by Orbiting Carbon Observatory-2. Remote Sensing, 11(7), 850. https:\/\/doi.org\/10.3390\/rs11070850","journal-title":"Remote Sensing"},{"issue":"7825","key":"14174_CR16","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","volume":"585","author":"CR Harris","year":"2020","unstructured":"Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., et al. (2020). Array programming with NumPy. Nature, 585(7825), 357\u2013362. https:\/\/doi.org\/10.1038\/s41586-020-2649-2","journal-title":"Nature"},{"key":"14174_CR17","unstructured":"Hoyer, S. (2025). h5netcdf: a Python interface for the netCDF4 file-format based on h5py. PyPi. https:\/\/h5netcdf.org\/. Accessed 27 March 2025"},{"issue":"1","key":"14174_CR18","doi-asserted-by":"publisher","first-page":"10","DOI":"10.5334\/jors.148","volume":"5","author":"S Hoyer","year":"2017","unstructured":"Hoyer, S., & Hamman, J. (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software, 5(1), 10. https:\/\/doi.org\/10.5334\/jors.148","journal-title":"Journal of Open Research Software"},{"issue":"2","key":"14174_CR19","doi-asserted-by":"publisher","first-page":"200","DOI":"10.3402\/tellusa.v12i2.9366","volume":"12","author":"CD Keeling","year":"1960","unstructured":"Keeling, C. D. (1960). The concentration and isotopic abundances of carbon dioxide in the atmosphere. Tellus, 12(2), 200\u2013203. https:\/\/doi.org\/10.3402\/tellusa.v12i2.9366","journal-title":"Tellus"},{"key":"14174_CR20","unstructured":"Lan, X., Tans, P., & Thorning, K. W. (2023). Trends in globally-averaged CO2 determined from NOAA global monitoring laboratory measurements. National oceanic and atmospheric administration, global monitoring laboratory (NOAA\/GML). https:\/\/gml.noaa.gov\/ccgg\/trends\/data.html. Accessed 26 May 2025."},{"issue":"10","key":"14174_CR21","doi-asserted-by":"publisher","first-page":"1033","DOI":"10.3390\/rs9101033","volume":"9","author":"A Liang","year":"2017","unstructured":"Liang, A., Gong, W., Han, G., & Xiang, C. (2017). Comparison of satellite-observed XCO2 from GOSAT, OCO-2, and Ground-Based TCCON. Remote Sensing, 9(10), 1033. https:\/\/doi.org\/10.3390\/rs9101033","journal-title":"Remote Sensing"},{"issue":"5","key":"14174_CR22","doi-asserted-by":"publisher","first-page":"1058","DOI":"10.2166\/hydro.2018.136","volume":"20","author":"H Liu","year":"2018","unstructured":"Liu, H., van Oosterom, P., Tijssen, T., Commandeur, T., & Wang, W. (2018). Managing large multidimensional hydrologic datasets: A case study comparing NetCDF and SciDB. Journal of Hydroinformatics, 20(5), 1058\u20131070. https:\/\/doi.org\/10.2166\/hydro.2018.136","journal-title":"Journal of Hydroinformatics"},{"issue":"8","key":"14174_CR23","doi-asserted-by":"publisher","first-page":"e2020JG005677","DOI":"10.1029\/2020JG005677","volume":"125","author":"M Longo","year":"2020","unstructured":"Longo, M., Saatchi, S., Keller, M., Bowman, K., Ferraz, A., Moorcroft, P. R., et al. (2020). Impacts of degradation on water, energy, and carbon cycling of the Amazon Tropical Forests. Journal of Geophysical Research Biogeosciences, 125(8), e2020JG005677. https:\/\/doi.org\/10.1029\/2020JG005677","journal-title":"Journal of Geophysical Research Biogeosciences"},{"key":"14174_CR24","doi-asserted-by":"publisher","unstructured":"McKinney, W. (2010). Data structures for statistical computing in Python (pp. 56\u201361). https:\/\/doi.org\/10.25080\/Majora-92bf1922-00a","DOI":"10.25080\/Majora-92bf1922-00a"},{"issue":"9","key":"14174_CR25","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1016\/j.cageo.2004.12.006","volume":"31","author":"S Nativi","year":"2005","unstructured":"Nativi, S., Caron, J., Davis, E., & Domenico, B. (2005). Design and implementation of netCDF markup language (NcML) and its GML-based extension (NcML-GML). Computers & Geosciences, 31(9), 1104\u20131118. https:\/\/doi.org\/10.1016\/j.cageo.2004.12.006","journal-title":"Computers & Geosciences"},{"key":"14174_CR26","doi-asserted-by":"publisher","unstructured":"Ott, Lesley., & Weir, Brad. (2022). OCO-2 GEOS Level 3 daily, 0.5x0.625 assimilated CO2 V10r. Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), 10. https:\/\/doi.org\/10.5067\/Y9M4NM9MPCGH","DOI":"10.5067\/Y9M4NM9MPCGH"},{"issue":"1","key":"14174_CR27","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1038\/s43247-022-00621-4","volume":"3","author":"S-W Park","year":"2022","unstructured":"Park, S.-W., & Kug, J.-S. (2022). A decline in atmospheric CO2 levels under negative emissions may enhance carbon retention in the terrestrial biosphere. Communications Earth & Environment, 3(1), 289. https:\/\/doi.org\/10.1038\/s43247-022-00621-4","journal-title":"Communications Earth & Environment"},{"key":"14174_CR28","unstructured":"PyArrow Team. (2025). PyArrow - Python API of Apache Arrow. PyPi. https:\/\/pypi.org\/project\/pyarrow\/. Accessed 19 March 2025"},{"issue":"13","key":"14174_CR29","doi-asserted-by":"publisher","first-page":"3453","DOI":"10.5194\/bg-11-3453-2014","volume":"11","author":"MR Raupach","year":"2014","unstructured":"Raupach, M. R., Gloor, M., Sarmiento, J. L., Canadell, J. G., Fr\u00f6licher, T. L., Gasser, T., et al. (2014). The declining uptake rate of atmospheric CO2 by land and ocean sinks. Biogeosciences, 11(13), 3453\u20133475. https:\/\/doi.org\/10.5194\/bg-11-3453-2014","journal-title":"Biogeosciences"},{"key":"14174_CR30","unstructured":"Reitz, K., Benfield, C., Cordasco, I., & Prewitt, N. (2017). Requests: HTTP for humans. Requests Website. https:\/\/requests.readthedocs.io\/_\/downloads\/en\/latest\/pdf\/. Accessed 26 May 2025"},{"key":"14174_CR31","doi-asserted-by":"publisher","unstructured":"Riahi, K., Schaeffer, R., Arango, J., Calvin, K., Guivarch, C., Hasegawa, T., et al. (2022). Mitigation pathways compatible with long-term goals. In P. R. Shukla, J. Skea, R. Slade, A. Al Khourdajie, R. van Diemen, D. McCollum, et al. (Eds.), IPCC, 2022: Climate Change 2022: Mitigation of Climate Change. Contribution of Working Group III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 295\u2013408). Cambridge University Press. https:\/\/doi.org\/10.1017\/9781009157926.005","DOI":"10.1017\/9781009157926.005"},{"issue":"17","key":"14174_CR32","doi-asserted-by":"publisher","first-page":"3524","DOI":"10.3390\/rs13173524","volume":"13","author":"M Sheng","year":"2021","unstructured":"Sheng, M., Lei, L., Zeng, Z.-C., Rao, W., & Zhang, S. (2021). Detecting the responses of CO2 column abundances to anthropogenic emissions from satellite observations of GOSAT and OCO-2. Remote Sensing, 13(17), 3524. https:\/\/doi.org\/10.3390\/rs13173524","journal-title":"Remote Sensing"},{"key":"14174_CR33","doi-asserted-by":"publisher","unstructured":"Theil, H. (1992). A rank-invariant method of linear and polynomial regression analysis. In B. Raj (Ed.), Advanced studies in theoretical and applied econometrics (Vol. 23, pp. 345\u2013381). Springer. https:\/\/doi.org\/10.1007\/978-94-011-2546-8_20","DOI":"10.1007\/978-94-011-2546-8_20"},{"key":"14174_CR34","doi-asserted-by":"publisher","first-page":"112032","DOI":"10.1016\/j.rse.2020.112032","volume":"251","author":"TE Taylor","year":"2020","unstructured":"Taylor, T. E., Eldering, A., Merrelli, A., Kiel, M., Somkuti, P., Cheng, C., et al. (2020). OCO-3 early mission operations and initial (vEarly) XCO2 and SIF retrievals. Remote Sensing of Environment, 251, 112032. https:\/\/doi.org\/10.1016\/j.rse.2020.112032","journal-title":"Remote Sensing of Environment"},{"key":"14174_CR35","doi-asserted-by":"publisher","unstructured":"Taylor, T. E., O\u2019Dell, C. W., Baker, D., Bruegge, C., Chang, A., Chapsky, L., et al. (2023, February 16). Evaluating the consistency between OCO-2 and OCO-3 XCO 2 estimates derived from the NASA ACOS version 10 retrieval algorithm. https:\/\/doi.org\/10.5194\/amt-2022-329","DOI":"10.5194\/amt-2022-329"},{"key":"14174_CR36","doi-asserted-by":"publisher","unstructured":"TCCON team, Wunch, D., Wennberg, P. O., Griffith, D. W. T., Deutscher, N. M., Feist, D. G., et al. (2022). 2020 TCCON Data Release (Version GGG2020) . CaltechDATA. https:\/\/doi.org\/10.14291\/TCCON.GGG2020","DOI":"10.14291\/TCCON.GGG2020"},{"key":"14174_CR37","unstructured":"Tsujikawa, T. (2015). aria2 - the ultra-fast download utility. GitHub. https:\/\/github.com\/aria2\/aria2. Accessed 19 March 2025"},{"issue":"4","key":"14174_CR38","doi-asserted-by":"publisher","first-page":"2007","DOI":"10.5194\/acp-16-2007-2016","volume":"16","author":"CA Varotsos","year":"2016","unstructured":"Varotsos, C. A., Tzanis, C. G., & Sarlis, N. V. (2016). On the progress of the 2015\u20132016 El Ni\u00f1o event. Atmospheric Chemistry and Physics, 16(4), 2007\u20132011. https:\/\/doi.org\/10.5194\/acp-16-2007-2016","journal-title":"Atmospheric Chemistry and Physics"},{"key":"14174_CR39","unstructured":"Whitaker, J., & Brett, M. (2024). Package netCDF4. PyPi. https:\/\/pypi.org\/project\/netCDF4\/. Accessed 27 March 2025"},{"issue":"6","key":"14174_CR40","doi-asserted-by":"publisher","first-page":"2209","DOI":"10.5194\/amt-10-2209-2017","volume":"10","author":"D Wunch","year":"2017","unstructured":"Wunch, D., Wennberg, P. O., Osterman, G., Fisher, B., Naylor, B., Roehl, C. M., et al. (2017). Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) CO2 measurements with TCCON. Atmospheric Measurement Techniques, 10(6), 2209\u20132238. https:\/\/doi.org\/10.5194\/amt-10-2209-2017","journal-title":"Atmospheric Measurement Techniques"}],"container-title":["Environmental Monitoring and Assessment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-025-14174-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10661-025-14174-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10661-025-14174-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,10]],"date-time":"2025-07-10T08:58:15Z","timestamp":1752137895000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10661-025-14174-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,2]]},"references-count":40,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025,7]]}},"alternative-id":["14174"],"URL":"https:\/\/doi.org\/10.1007\/s10661-025-14174-4","relation":{},"ISSN":["1573-2959"],"issn-type":[{"type":"electronic","value":"1573-2959"}],"subject":[],"published":{"date-parts":[[2025,6,2]]},"assertion":[{"value":"16 May 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"All authors have read, understood, and complied as applicable with the statement on \u201cEthical responsibilities of Authors\u201d as found in the Instructions for Authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical responsibilities of authors"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"712"}}