<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2023 (MapBiomas Soil Collection 2, Beta Version)</titl><IDNo agency="DOI">doi:10.60502/SoilData/SXCSDK</IDNo></titlStmt><distStmt><distrbtr source="archive">SoilData</distrbtr><distDate>2024-12-14</distDate></distStmt><verStmt source="archive"><version date="2025-09-24" type="RELEASED">3</version></verStmt><biblCit>MapBiomas, 2024, "Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2023 (MapBiomas Soil Collection 2, Beta Version)", https://doi.org/10.60502/SoilData/SXCSDK, SoilData, V3, UNF:6:PKK9HmpVEly47sjSf0e/PQ== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Training Field Soil Data for Annual Mapping of Soil Organic Carbon Stock (0–30 cm) in Brazil, 1985–2023 (MapBiomas Soil Collection 2, Beta Version)</titl><IDNo agency="DOI">doi:10.60502/SoilData/SXCSDK</IDNo></titlStmt><rspStmt><AuthEnty affiliation="MapBiomas">MapBiomas</AuthEnty><othId role="Project Leader">Ferreira, Laerte</othId><othId role="Project Leader">Samuel-Rosa, Alessandro</othId><othId role="Project Leader">Horst, Taciara Zborowski</othId><othId role="Project Leader">Shimbo, Julia</othId><othId role="Project Leader">Rosa, Marcos</othId><othId role="Data Manager">Anjos, Marcos Alexandre dos</othId><othId role="Data Curator">Huf dos Reis, Aline Mari</othId><othId role="Data Collector">Kerber, Débora Liriel</othId><othId role="Data Collector">Peruzzi, Vitor</othId><othId role="Data Collector">Serena, Gabriele Vitória Silva</othId><othId role="Data Collector">Pretto, Ana Caroline</othId><othId role="Data Collector">Pontes, David Oliveira</othId><othId role="Data Collector">Silva, Luciana da Luz</othId><othId role="Data Collector">Cardoso, Marcos Vinícius Souza</othId><othId role="Data Collector">Cardoso, Maria Eduarda Ferreira</othId><othId role="Data Curator">Alencastro, Mary Evelyn Santos</othId><othId role="Data Curator">Sobucki, Lisiane</othId><othId role="Data Collector">Parizzi, Talita</othId><othId role="Data Collector">Capoane, Viviane</othId><othId role="Data Collector">Souza, Deórgia</othId><othId role="Data Collector">Tornquist, Carlos Gustavo</othId><othId role="Data Collector">Rocha, Anderson Sandro da</othId><othId role="Data Manager">Oliveira, Sergio</othId><othId role="Data Manager">Munsberg, Glauco</othId><othId role="Project Leader">Azevedo, Tasso</othId></rspStmt><prodStmt/><distStmt><distrbtr source="archive">SoilData</distrbtr><contact affiliation="MapBiomas" email="contato@mapbiomas.org">MapBiomas</contact><distDate>2024-12-06</distDate><depositr>Samuel-Rosa, Alessandro</depositr><depDate>2024-12-06</depDate></distStmt><holdings URI="https://doi.org/10.60502/SoilData/SXCSDK"/></citation><stdyInfo><subject><keyword xml:lang="en">Ciências Agrárias</keyword><keyword xml:lang="en">Ciências da Terra e do meio ambiente</keyword><keyword>Soil organic carbon</keyword><keyword>Topsoil</keyword><keyword>Brazilian biomes</keyword></subject><abstract date="2024-12-06">Collection of 12,575 georeferenced points containing field data used to train regression models for mapping soil organic carbon stock (0–30 cm) in Brazil. These data were utilized to prepare the annual maps of soil organic carbon stocks in Collection 2 of the MapBiomas Soil project, covering the period 1985–2023 (beta version). Each record includes spatial and temporal coordinates, the year of soil collection, and the soil organic carbon stock (grams per square meter) calculated for the 0–30 cm soil layer.</abstract><abstract date="2024-12-06">&lt;b>Detailed description&lt;/b>: Soil data were collected from 262 studies published in the Brazilian soil data repository SoilData (&lt;a href=\"https://soildata.mapbiomas.org\">https://soildata.mapbiomas.org&lt;/a>). After analysis, a total of 250 datasets was selected for the spatial-temporal modeling of soil organic carbon stock. These data represent 15,729 points distributed across Brazil, with information on 29,881 soil layers. Some properties, such as the amount of coarse fragments and soil density, were missing in many samples. These missing values were estimated using statistical models known as pedotransfer functions. After this step, 12,575 points and 19,028 layers from 236 datasets were considered suitable for the spatial-temporal modeling of soil organic carbon stock. To calculate the soil organic carbon stock, the percentage of coarse fragments (% by weight) was converted to volume (% by volume) using a density of 2.65 g/cm³. The soil organic carbon stock (g/m²) for each layer was then calculated using the following equation: carbon content × (1 - coarse fragments) × soil density × layer thickness. For sampling points with multiple layers up to 30 cm depth, the carbon stocks from each layer were summed to obtain the total soil organic carbon stock at the point.&lt;br/>&lt;br/>The dataset includes the following columns:&lt;ul>&lt;li>&lt;b>point_id:&lt;/b> An alphanumeric code that identifies the source dataset ("ctb" followed by four numbers, such as ctb0003) and the ID of the soil profile, observation, or sampling point (event) in that dataset.&lt;/li>&lt;li>&lt;b>latitude and longitude:&lt;/b> Decimal geographic coordinates in the WGS84 coordinate reference system (EPSG:4326).&lt;/li>&lt;li>&lt;b>year:&lt;/b> The year of soil collection in the field.&lt;/li>&lt;li>&lt;b>soc_stock_g_m2:&lt;/b> Soil organic carbon stock in grams per square meter (g/m²) in the 0–30 cm layer.&lt;/li>&lt;/ul>&lt;br/>The code used to process the data is available at &lt;a href=\"https://github.com/Laboratorio-de-Pedometria/mapbiomas-soc\">https://github.com/Laboratorio-de-Pedometria/mapbiomas-soc&lt;/a>.</abstract><sumDscr><timePrd cycle="P1" event="start" date="1958">1958</timePrd><timePrd cycle="P1" event="end" date="2023">2023</timePrd><collDate cycle="P1" event="start" date="1958">1958</collDate><collDate cycle="P1" event="end" date="2023">2023</collDate><dataKind>survey data</dataKind><dataKind>geo-referenced data</dataKind><dataKind>aggregated data</dataKind><dataKind>compiled data</dataKind><nation>Brazil</nation><geogUnit>Country</geogUnit></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat/></stdyDscr><fileDscr ID="f730" URI="http://soildata.mapbiomas.org/api/access/datafile/730"><fileTxt><fileName>soil-organic-carbon-stock-0-30-cm-grams-per-square-meter.tab</fileName><dimensns><caseQnty>12575</caseQnty><varQnty>5</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:PKK9HmpVEly47sjSf0e/PQ==</notes></fileDscr><dataDscr><var ID="v634" name="point_id" intrvl="discrete"><location fileid="f730"/><labl level="variable">point_id</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:BJFqg+02aNr2Sxyp3ifQKA==</notes></var><var ID="v636" name="longitude" intrvl="contin"><location fileid="f730"/><labl level="variable">longitude</labl><sumStat type="invd">0.0</sumStat><sumStat type="medn">-53.53333</sumStat><sumStat type="mean">-52.67367778707137</sumStat><sumStat type="min">-73.78333</sumStat><sumStat type="mode">.</sumStat><sumStat type="stdev">8.564905054778958</sumStat><sumStat type="max">-34.8833</sumStat><sumStat type="vald">12575.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:vXmE7CX3JvdHNh3UJYvi4A==</notes></var><var ID="v632" name="latitude" intrvl="contin"><location fileid="f730"/><labl level="variable">latitude</labl><sumStat type="invd">0.0</sumStat><sumStat type="stdev">8.92854895815797</sumStat><sumStat type="max">4.633333</sumStat><sumStat type="mean">-16.254727448441724</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">-14.152222</sumStat><sumStat type="vald">12575.0</sumStat><sumStat type="min">-33.55901</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:NiwJsmS3ZD5TAQeKWzpkUA==</notes></var><var ID="v635" name="year" intrvl="discrete"><location fileid="f730"/><labl level="variable">year</labl><sumStat type="mean">1997.2628320866656</sumStat><sumStat type="stdev">14.970718115260595</sumStat><sumStat type="min">1958.0</sumStat><sumStat type="max">2023.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="invd">944.0</sumStat><sumStat type="vald">11631.0</sumStat><sumStat type="medn">1996.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:+Mdt8Ra24IbuVOU5MWHeBw==</notes></var><var ID="v633" name="soc_stock_g_m2" intrvl="discrete"><location fileid="f730"/><labl level="variable">soc_stock_g_m2</labl><sumStat type="max">118374.0</sumStat><sumStat type="min">52.0</sumStat><sumStat type="stdev">4513.889223328365</sumStat><sumStat type="mode">.</sumStat><sumStat type="medn">3959.0</sumStat><sumStat type="vald">12575.0</sumStat><sumStat type="mean">4806.930417495032</sumStat><sumStat type="invd">0.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:R3hYeaPIUiaaXtstq4v+RQ==</notes></var></dataDscr><otherMat ID="f792" URI="http://soildata.mapbiomas.org/api/access/datafile/792" level="datafile"><labl>MapBiomas Solo - Coleção 2 - Relatório Analítico dos Dados de Solo para Treinamento de Modelos Espaço-Temporais do Estoque de Carbono Orgânico do Solo.pdf</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/pdf</notes></otherMat></codeBook>