{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T11:56:10Z","timestamp":1769169370437,"version":"3.49.0"},"reference-count":31,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003593","name":"National Council for Scientific and Technological Development","doi-asserted-by":"publisher","award":["1745"],"award-info":[{"award-number":["1745"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>The Amazon Rainforest is highlighted by the global community both for its extensive vegetation cover that constantly suffers the effects of anthropic action and for its substantial biodiversity. This dataset presents data of meteorological variables from the Amazon Rainforest region with a spatial resolution of 0.001\u00b0 in latitude and longitude, resulting from an interpolation process. The original data were obtained from the GoAmazon 2014\/5 project, in the Atmospheric Radiation Measurement (ARM) repository, and then processed through mathematical and statistical methods. The dataset presented here can be used in experiments in the field of Data Science, such as training models for predicting climate variables or modeling the distribution of species.<\/jats:p>","DOI":"10.3390\/data6120126","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T20:29:27Z","timestamp":1638304167000},"page":"126","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Spatial Interpolation of Air Pollutant and Meteorological Variables in Central Amazonia"],"prefix":"10.3390","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7279-4546","authenticated-orcid":false,"given":"Renato","family":"Okabayashi Miyaji","sequence":"first","affiliation":[{"name":"Polytechnic School, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-070, Brazil"}]},{"given":"Felipe","family":"Valencia de Almeida","sequence":"additional","affiliation":[{"name":"Polytechnic School, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-070, Brazil"}]},{"given":"Lucas","family":"de Oliveira Bauer","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Federal University of S\u00e3o Paulo, S\u00e3o Paulo 13635-900, Brazil"}]},{"given":"Victor","family":"Madureira Ferrari","sequence":"additional","affiliation":[{"name":"Polytechnic School, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-070, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8743-4244","authenticated-orcid":false,"given":"Pedro Luiz","family":"Pizzigatti Corr\u00eaa","sequence":"additional","affiliation":[{"name":"Polytechnic School, University of S\u00e3o Paulo, S\u00e3o Paulo 05508-070, Brazil"}]},{"given":"Luciana","family":"Varanda Rizzo","sequence":"additional","affiliation":[{"name":"Department of Environmental Sciences, Federal University of S\u00e3o Paulo, S\u00e3o Paulo 13635-900, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2590-5848","authenticated-orcid":false,"given":"Giri","family":"Prakash","sequence":"additional","affiliation":[{"name":"Atmospheric Radiation Measurement Facility (ARM) Data Center, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,30]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1175\/BAMS-D-15-00221.1","article-title":"The Green Ocean Amazon Experiment (GoAmazon2014\/5) Observes Pollution Affecting Gases, Aerosols, Clouds, and Rainfall over the Rain Forest","volume":"98","author":"Martin","year":"2017","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"4785","DOI":"10.5194\/acp-16-4785-2016","article-title":"Introduction: Observations and Modeling of the Green Ocean Amazon (GoAmazon2014\/5)","volume":"16","author":"Martin","year":"2016","journal-title":"Atmospheric Chem. Phys. Discuss."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1175\/2008JHM1048.1","article-title":"Statistical Evaluation of Combined Daily Gauge Observations and Rainfall Satellite Estimates over Continental South America","volume":"10","author":"Vila","year":"2009","journal-title":"J. Hydrometeorol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1007\/s10712-019-09532-0","article-title":"Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them","volume":"40","author":"Barbier","year":"2019","journal-title":"Surv. Geophys."},{"key":"ref_5","unstructured":"(2021, November 12). ARM Research Facility, Available online: https:\/\/adc.arm.gov\/discovery\/#\/results\/site_code::mao."},{"key":"ref_6","unstructured":"Mei, F. (2021, November 12). Condensation Particle Counter (CPC) 3010 and 3025(TSI)\u2014GoAmazon. 2014. Dataset on Atmospheric Radiation Measurement, Available online: https:\/\/iop.archive.arm.gov\/arm-iop\/2014\/mao\/goamazon\/mei-cpc\/."},{"key":"ref_7","unstructured":"Mei, F., Hubbe, J.M., Comstock, J., Tomlinson, J., and Iwgadts, M. (2021, November 12). Data Set from GoAmazon. Dataset on Atmospheric Radiation Measurement, Available online: https:\/\/iop.archive.arm.gov\/arm-iop\/2014\/mao\/goamazon\/mei-iwg1\/."},{"key":"ref_8","unstructured":"Butterfield, Z., and Dubey, M. (2021, November 12). GoAmazon Aerial Campaign LANL Pircarro IOP1 IOP2. Dataset on Atmospheric Radiation Measurement, Available online: https:\/\/iop.archive.arm.gov\/arm-iop\/2014\/mao\/goamazon\/dubey-gasconcs\/."},{"key":"ref_9","unstructured":"Ahrens, C.D., and Henson, R. (2012). Meteorology Today: An Introduction to Weather, Climate, and the Environment, Cengage Learning."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Stull, R.B. (1988). An Introduction to Boundary Layer Meteorology, Springer Science & Business Media.","DOI":"10.1007\/978-94-009-3027-8"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1007\/s00704-004-0043-x","article-title":"The convective boundary layer over pasture and forest in Amazonia","volume":"78","author":"Fisch","year":"2004","journal-title":"Theor. Appl. Clim."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1038\/sj.jea.7500338","article-title":"Comparison of spatial interpolation methods for the estimation of air quality data","volume":"14","author":"Wong","year":"2004","journal-title":"J. Expo. Sci. Environ. Epidemiol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/0016-7061(94)90025-6","article-title":"Spatial interpolation: An overview","volume":"62","author":"Myers","year":"1994","journal-title":"Geoderma"},{"key":"ref_14","unstructured":"SciPy Developers (2021, November 12). SciPy Documentation. Available online: https:\/\/www.scipy.org\/docs.html."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1039\/c3fd00052d","article-title":"Atmospheric aerosols in Amazonia and land use change: From natural biogenic to biomass burning conditions","volume":"165","author":"Artaxo","year":"2013","journal-title":"Faraday Discuss."},{"key":"ref_16","unstructured":"(2021, June 15). IBGE: Instituto Brasileiro de Geografia e Estat\u00edstica, Available online: http:\/\/cidades.ibge.gov.br\/."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"9251","DOI":"10.5194\/acp-10-9251-2010","article-title":"Impact of Manaus City on the Amazon Green Ocean atmosphere: Ozone production, precursor sensitivity and aerosol load","volume":"10","author":"Kuhn","year":"2010","journal-title":"Atmospheric Chem. Phys. Discuss."},{"key":"ref_18","unstructured":"Seinfeld, J.H., and Pandis, S.N. (2006). Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, John Wiley & Sons."},{"key":"ref_19","unstructured":"US EPA (2021, June 26). Quantitative Risk and Exposure Assessment for Carbon Monoxide\u2013Amended. EPA-452\/R-10-009, Available online: https:\/\/www3.epa.gov\/ttn\/naaqs\/standards\/co\/data\/CO-REA-Amended-July2010.pdf."},{"key":"ref_20","first-page":"08","article-title":"Ground-Level Ozone in the 21st Century: Future Trends, Impacts and Policy Implications","volume":"Volume 15","author":"Fowler","year":"2008","journal-title":"Royal Society Science Policy Report"},{"key":"ref_21","unstructured":"Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J., and Thornton, P. (2014). Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Climate Change 2013: The Physical Science Basis, Cambridge University Press."},{"key":"ref_22","unstructured":"Kuang, C., and Mei, F. (2021, June 15). Condensation Particle Counter (CPC) Instrument Handbook, Counter (CPC) Instrument Handbook, Available online: https:\/\/www.arm.gov\/publications\/tech_reports\/handbooks\/cpc_handbook.pdf."},{"key":"ref_23","unstructured":"CETESB (2021, June 21). Qualidade do ar no Estado de S\u00e3o Paulo 2019. S\u00e3o Paulo, Available online: http:\/\/ar.cetesb.sp.gov.br\/publicacoes-relatorios\/."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1029\/1999GL900156","article-title":"Biomass burning as a source of formaldehyde, acetaldehyde, methanol, acetone, acetonitrile, and hydrogen cyanide","volume":"26","author":"Holzinger","year":"1999","journal-title":"Geophys. Res. Lett."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"e2020GL092322","DOI":"10.1029\/2020GL092322","article-title":"Revisiting Acetonitrile as Tracer of Biomass Burning in Anthropogenic-Influenced Environments","volume":"48","author":"Huangfu","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1016\/j.envpol.2010.10.028","article-title":"A second life for old data: Global patterns in pollution ecology revealed from published observational studies","volume":"159","author":"Kozlov","year":"2011","journal-title":"Environ. Pollut."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"949","DOI":"10.1111\/j.1365-3040.2005.01341.x","article-title":"Assessing the future global impacts of ozone on vegetation","volume":"28","author":"Ashmore","year":"2005","journal-title":"Plant Cell Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"6755","DOI":"10.5194\/acp-21-6755-2021","article-title":"Aerosols from anthropogenic and biogenic sources and their interactions\u2014Modeling aerosol formation, optical properties, and impacts over the central Amazon basin","volume":"21","author":"Nascimento","year":"2021","journal-title":"Atmos. Chem. Phys."},{"key":"ref_29","first-page":"389","article-title":"Ecosystem carbon fluxes and Amazonian forest metabolism","volume":"186","author":"Saleska","year":"2009","journal-title":"Submar. Landslides"},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Beck, V., Chen, H., Gerbig, C., Bergamaschi, P., Bruhwiler, L., Houweling, S., R\u00f6ckmann, T., Kolle, O., Steinbach, J., and Koch, T. (2012). Methane airborne measurements and comparison to global models during BARCA. J. Geophys. Res. Space Phys., 117.","DOI":"10.1029\/2011JD017345"},{"key":"ref_31","unstructured":"Gottwald, M., and Bovensmann, H. (2021, June 15). SCIAMACHY\u2014Exploring the Changing Earth\u2019s Atmosphere. Available online: https:\/\/atmos.eoc.dlr.de\/projects\/scops\/sciamachy_book\/sciamachy_book_springer_editors_version.html."}],"container-title":["Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/12\/126\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:37:43Z","timestamp":1760168263000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2306-5729\/6\/12\/126"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,30]]},"references-count":31,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["data6120126"],"URL":"https:\/\/doi.org\/10.3390\/data6120126","relation":{},"ISSN":["2306-5729"],"issn-type":[{"value":"2306-5729","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,30]]}}}