Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters" (doi:10.13130/RD_UNIMI/RC6YNI)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"

Identification Number:

doi:10.13130/RD_UNIMI/RC6YNI

Distributor:

UNIMI Dataverse

Date of Distribution:

2022-07-15

Version:

1

Bibliographic Citation:

Zecchin, Sarah, 2022, "Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"", https://doi.org/10.13130/RD_UNIMI/RC6YNI, UNIMI Dataverse, V1, UNF:6:/kNtTSE/8FEwscOFQd2Shw== [fileUNF]

Study Description

Citation

Title:

Replication Data for: "Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters"

Identification Number:

doi:10.13130/RD_UNIMI/RC6YNI

Authoring Entity:

Zecchin, Sarah (DeFENS, University of Milan)

Distributor:

UNIMI Dataverse

Access Authority:

Zecchin, Sarah

Access Authority:

Cavalca, Lucia

Depositor:

Zecchin, Sarah

Date of Deposit:

2021-02-25

Holdings Information:

https://doi.org/10.13130/RD_UNIMI/RC6YNI

Study Scope

Keywords:

Earth and Environmental Sciences, arsenic, groundwater, arsenic dissolution, arsenite-oxidizing bacteria

Abstract:

This Dataset includes 16S rRNA gene reads obtained by Illumina amplicon sequencing performed on a MiSeq platform at Microsynth AG (Balgach, Switzerland). The reads were amplified from DNA isolated from arsenic-contaminated groundwater sampled in six aquifers located in the provinces of Varese, Lodi, Mantova, Brescia and Cremona (Lombardy, Italy).

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

https://doi.org/10.3389/fmicb.2021.634025

Bibliographic Citation:

Zecchin S, Crognale S, Zaccheo P, Fazi S, Amalfitano S, Casentini B, Callegari M, Zanchi R, Sacchi GA, Rossetti S and Cavalca L (2021) Adaptation of Microbial Communities to Environmental Arsenic and Selection of Arsenite-Oxidizing Bacteria From Contaminated Groundwaters. Front. Microbiol. 12:634025.

File Description--f6020

File: BATA_Po_Plain_Illumina_16S_metadata.tab

  • Number of cases: 18

  • No. of variables per record: 7

  • Type of File: text/tab-separated-values

Notes:

UNF:6:/kNtTSE/8FEwscOFQd2Shw==

Variable Description

List of Variables:

Variables

SampleID

f6020 Location:

Variable Format: character

Notes: UNF:6:4cNJ7Gtf9IcM/DsIAcyPdA==

Location

f6020 Location:

Variable Format: character

Notes: UNF:6:i603Rf8zIjx9ydk6gGgf0A==

Province

f6020 Location:

Variable Format: character

Notes: UNF:6:NOV4IitDbhZty3rgBNMnGw==

Use

f6020 Location:

Variable Format: character

Notes: UNF:6:SA1l0QRIlH0bR1I+xDMyFA==

Coordinates

f6020 Location:

Variable Format: character

Notes: UNF:6:2DFNzdBSNpx2yQzxybMzbg==

Type

f6020 Location:

Variable Format: character

Notes: UNF:6:2Nsh6KF/Os6k5wO3CeoA/g==

Depth

f6020 Location:

Summary Statistics: Min. 22.0; Max. 210.0; Valid 18.0; StDev 76.52143106192348; Mean 96.66666666666666;

Variable Format: numeric

Notes: UNF:6:bfKYUCRxD08iY4vTxZRSGg==

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