<?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>SWAMP Dataset-Soil-Banten-2022</titl><IDNo agency="DOI">doi:10.17528/CIFOR/DATA.00304</IDNo></titlStmt><distStmt><distrbtr source="archive">Center for International Forestry Research (CIFOR)</distrbtr><distDate>2024-06-10</distDate></distStmt><verStmt source="DVN"><version date="2024-06-11" type="RELEASED">2</version></verStmt><biblCit>Milkah Royna; Daniel Murdiyarso; Sigit D. Sasmito; Desra Arriyadi; Joeni Setijo Rahajoe; Mufidah Ghina Zahro; Trialaksita Sari Priska Ardhani, 2024, "SWAMP Dataset-Soil-Banten-2022", https://doi.org/10.17528/CIFOR/DATA.00304, Center for International Forestry Research (CIFOR), V2, UNF:6:9d+TAl596acj9RXfjcwVUg== [fileUNF]</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>SWAMP Dataset-Soil-Banten-2022</titl><IDNo agency="DOI">doi:10.17528/CIFOR/DATA.00304</IDNo></titlStmt><rspStmt><AuthEnty affiliation="IPB University">Milkah Royna</AuthEnty><AuthEnty affiliation="Center for International Forestry Research (CIFOR)">Daniel Murdiyarso</AuthEnty><AuthEnty affiliation="National University of Singapore">Sigit D. Sasmito</AuthEnty><AuthEnty affiliation="PT Rimba Makmur Utama">Desra Arriyadi</AuthEnty><AuthEnty affiliation="National Research and Innovation Agency (BRIN)">Joeni Setijo Rahajoe</AuthEnty><AuthEnty affiliation="IPB University">Mufidah Ghina Zahro</AuthEnty><AuthEnty affiliation="IPB University">Trialaksita Sari Priska Ardhani</AuthEnty></rspStmt><prodStmt><software>-</software></prodStmt><distStmt><distrbtr source="archive">Center for International Forestry Research (CIFOR)</distrbtr><distrbtr abbr="CIFOR" URI="https://www.cifor.org/" role="http://www.cifor.org/fileadmin/templatesnew/res/images/logo.gif">Center for International Forestry Research</distrbtr><contact affiliation="IPB University" email="roynananamilkah@apps.ipb.ac.id">Milkah Royna</contact><depositr>Sagala, Phidju Marrin</depositr><depDate>2024-06-10</depDate></distStmt></citation><stdyInfo><subject><keyword>Climate Change, Energy and low carbon development (CCE)</keyword><keyword>Forest Management &amp; Restoration (FMR)</keyword><keyword vocab="GACS" vocabURI="http://id.agrisemantics.org/gacs/C12978">carbon stocks</keyword><keyword vocab="GACS" vocabURI="http://id.agrisemantics.org/gacs/C1088">tropics</keyword><keyword vocab="GACS" vocabURI="http://id.agrisemantics.org/gacs/C1200">climate change</keyword><keyword vocab="GACS" vocabURI="http://id.agrisemantics.org/gacs/C3154">mitigation</keyword><keyword vocab="GACS" vocabURI="http://browser.agrisemantics.org/gacs/en/page/C11532">ecological restoration</keyword><keyword vocab="GACS" vocabURI="http://aims.fao.org/aos/agrovoc/c_16190">mangroves</keyword><keyword vocab="GACS" vocabURI="http://aims.fao.org/aos/agrovoc/c_331597">emission reduction</keyword><keyword vocab="GACS" vocabURI="http://aims.fao.org/aos/agrovoc/c_6210">productivity</keyword><topcClas>Climate change</topcClas></subject><abstract date="2024-02-26">The dataset of soil was collected from tropical mangrove forests in Banten, Indonesia</abstract><sumDscr><dataKind>assesment data</dataKind><dataKind>experimental data</dataKind><dataKind>measurement data</dataKind><dataKind>numeric data</dataKind><dataKind>observation data</dataKind><dataKind>survey data</dataKind><nation>Indonesia</nation><geogCover>Serang</geogCover><geogCover>Banten</geogCover><geogUnit>Degree</geogUnit></sumDscr><notes>Site name: Pulau Dua Nature Reserve;&#xd;
Site ID: BAN;&#xd;
Data collection date: 2022;&#xd;
Latitude: 6°11'5"S - 6°12'5"S ;&#xd;
Longitude: 106°11'38" E -  106°13'14" E;&#xd;
Country: Indonesia;&#xd;
Land use or cover type: conserved mangrove forest;&#xd;
Area sampled: 32.85 ha;&#xd;
Topography and elevation: Low-lying coastal zone;&#xd;
Disturbance: ;&#xd;
Personel trained: ;&#xd;
Research objective(s): Carbon stocks assessment in tropical mangrove forests;&#xd;
Principal contact (name &amp; email): Milkah Royna (m.royna@cifor-icraf.org or roynananamilkah@apps.ipb.ac.id);&#xd;
Protocol used: Kauffman and Donato. 2012. Protocols for the measurement, monitoring and reporting of structure, biomass and carbon stocks in mangrove forests. Working paper 86. CIFOR;&#xd;
Associated publication: Royna M, Murdiyarso D, Sasmito SD, Arriyadi D, Rahajoe JS, Zahro MG, Ardhani TSP. 2024. Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten Province, Indonesia. Front. Ecol. Evol. 12:1-12. https://doi.org/10.3389/fevo.2024.1340531;&#xd;
Partner(s): United States Agency for International Development (USAID), Bogor Agricultural University (IPB), PT. Rimba Makmur Utama (RMU), National Research and Innovation Agency (BRIN);&#xd;
Data available: soil depth, bulk density, %C, C density, C stocks; Latest data modification (dd/mm/yyyy): 09/06/2024;</notes></stdyInfo><method><dataColl><sources><srcDocu>SWAMP Database Management Principles: &lt;a href="https://www.cifor.org/swamp/database/metadata/" target="_blank">Dataset variables&lt;/a></srcDocu></sources></dataColl><anlyInfo/></method><dataAccs><notes type="DVN:TOU" level="dv">CC0 Waiver</notes><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><titlStmt><IDNo agency="doi">https://doi.org/10.3389/fevo.2024.1340531</IDNo></titlStmt><biblCit>Royna M, Murdiyarso D, Sasmito SD, Arriyadi D, Rahajoe JS, Zahro MG, Ardhani TSP. 2024. Carbon stocks and effluxes in mangroves converted into aquaculture: a case study from Banten Province, Indonesia. Front. Ecol. Evol. 12:1-12. https://doi.org/10.3389/fevo.2024.1340531</biblCit></citation></relPubl></othrStdyMat></stdyDscr><fileDscr ID="f4867" URI="https://data.cifor.org/api/access/datafile/4867"><fileTxt><fileName>SWAMP Data-Soil carbon-Pulau Dua Banten-2022.tab</fileName><dimensns><caseQnty>18</caseQnty><varQnty>3</varQnty></dimensns><fileType>text/tab-separated-values</fileType></fileTxt><notes level="file" type="VDC:UNF" subject="Universal Numeric Fingerprint">UNF:6:9d+TAl596acj9RXfjcwVUg==</notes></fileDscr><dataDscr><var ID="v13242" name="NoID" intrvl="contin"><location fileid="f4867"/><labl level="variable">NoID</labl><sumStat type="vald">18.0</sumStat><sumStat type="max">18.0</sumStat><sumStat type="medn">9.5</sumStat><sumStat type="stdev">5.338539126015656</sumStat><sumStat type="invd">0.0</sumStat><sumStat type="mode">.</sumStat><sumStat type="mean">9.5</sumStat><sumStat type="min">1.0</sumStat><varFormat type="numeric"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:yF0kRpcwztX8usp4no6HXA==</notes></var><var ID="v13243" name="Generalinformation" intrvl="discrete"><location fileid="f4867"/><labl level="variable">Generalinformation</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:ZrLEMPPA+AD4eL2tE2LW7A==</notes></var><var ID="v13244" name="Description" intrvl="discrete"><location fileid="f4867"/><labl level="variable">Description</labl><varFormat type="character"/><notes subject="Universal Numeric Fingerprint" level="variable" type="Dataverse:UNF">UNF:6:2Or3/tA4Bdn88fttpVmfsQ==</notes></var></dataDscr></codeBook>