Welcome to the Archived Ionomics Hub

The IonomicsHub (iHUB) was first accessible to the public in 2007 as the Purdue Ionomics Information Management System (PiiMS). Hosted at Purdue University, the system provided integrated workflow control, data storage, and analysis to facilitate high-throughput ionomic data collection, along with integrated tools for data search, retrieval, visualization, and creation of DOIs associated with sets of data (Baxter et al., 2007).

Ionomic data collected on Arabidopsis thaliana shoot samples was actively loaded onto the iHUB from 2002 – 2011. It contained ionomics data on 205,169 unique A. thaliana samples. This represented approximately 4,000,000 publically accessible data points from 15,369 unique lines/accessions, and includes 11,478 fast neutron mutagenized plants, 28,357 T-DNA mutagenized plants (representing 3,452 genes), 21,960 EMS mutagenized plants, and 40,388 wild-type plants including 753 different accessions and 1,474 inbred lines. Over the years the system was upgraded with the addition of various features (e.g. Salt et al., 2014), and extended to host data on 26,268 rice samples and 51,554 Saccharomyces cerevisiae samples, including a genome-wide set of knockout and over expression strains (Yu et al., 2012). Since it went live the iHUB had 15,423 unique users from 124 countries.

In 2019 the iHUB was moved to the University of Nottingham where it underwent extensive software upgrades. In 2018 the iHUB domain name ionomicshub.org was renewed by Purdue University for 5 years. Unfortunately, when the domain name came up for renewal in 2023 it was mistakenly not renewed, and was bought by a third party. This third party was unwilling to sell the domain name back to the iHUB. Owners of the ionomicshub.org domain are now using the domain to host their own website, where they are also using the iHUB logo without permission. To be clear: Despite the use of the iononomicshub logo and scraped text from the old ionomicshub.org, neither David Salt nor Ivan Baxter have any association with the current ionomicshub.org. The current owners do not have the data they are claiming.

Unfortunately, the ionomicshub.org address was hardcoded into the underlying code, so the full ionomicshub system crashed and we have been unable to resurrect it. To continue to provide community access to the ionomics data that was hosted at the iHUB, we have deposited the underlying datasets at Zenodo and linked them from this site using the ionomicshub.work domain. Here, we provide links for download of files containing ionomic data from the iHUB on A. thaliana and S. cerevisiae. This site no longer provides the ability to upload data, or perform searches, visualization or data set and DOI generation. The ionomicshub.work domain is owned by Ivan Baxter and it is our intention to maintain this site in perpetuity as a reference for the community. If we are able to recover additional data from the original ionomicshub.org or if others have deposited additional ionomics datasets on public repositories, we will be happy to add links to that data.

Please note that all data shared cannot be guaranteed to be the final published version of any given paper. When available, the final published version attached to the paper should be considered the gold standard. Where we have confirmed that we have the correct dataset, we have put a green checkmark next to it.

Files of Arabidopsis thaliana shoot ionomic data

Arabidopsis_MedianNormalized_07222010

Arabidopsis_MedianZscore_07222010

Arabidopsis_SampleNormalized_07222010

Arabidopsis_SampleZscore_07222010

LeafData1001_IonExplorerDownload_29062025

SeedData1001_IonExplorerDownload_29062025

Weight_corrected_leaf_GAM_NO_CHECKUP_NO_MAGIC

Weight_corrected_seed_GAM_NO_CHECKUP_NO_MAGIC

Files of Saccharomyces cerevisiae ionomic data

normalizedPPB_KO_103009.csv

normalizedPPB_KOdip_0210.csv

normalizedPPB_OE_reload010511.csv

zstat_KO_111810.csv

zstat_KOd_111810.csv

zstat_OE_111810.csv

File Store

File_ID Description File Category
43 Ionomics data and QTL results of 10 grow-outs of the Maize IBM population. Published in Asaro et al. 2016. Asaroetal2016.MaizeIBMionomicsandQTLdata.zip Maize
16 R scripts and data from Ziegler et al. Plant Genome, 2012 Ziegler_etal_PlantGenome2012_ScriptsAndData.zip Soybean
41 R scripts from Shakoor et al. Sorghum GWAS 2016 Shakooretal2016.Scripts.zip Other
46 Ionomics data, Joint Linkage and GWAS results from 2006 North Carolina, Florida, New York and Puerto Rico grow-outs of Maize NAM population. MaizeNAMionomicsandGWASdata.zip Maize
12 All ionomics data from the Clayton, NC 2006 NAM grow out. Fields:plate= 48 well plate seeds are loaded into. Unique in experimentnuminset= unique ID within each WR setRun= sample # on ICP unique within each WR setFullnum= sample number within the whole experimentICP.run= ICP run - usually 576 samples per runWR.run= WR run - 288 samplesWR.plate= plate within the WR run, 6 48-well plates/WR.runICP.plate= plate within the ICP run 12 48-well plates/ICP.runICP.runnum= sample number on ICP unique within each ICP runMissing numbers in ICP.runnum,Run, and fullnum are usually the locations Controls were run at.All data is weight-normalized ppm concentrations. MaizeNAM.ClaytonNCdataset - 110111_data_fixed - with p37-p40.csv Maize
15 Ionomics data from the Florida 2006 NAM grow out.Fields:plate= 48 well plate seeds are loaded into. Unique in experimentnuminset= unique ID within each WR setRun= sample # on ICP unique within each WR setFullnum= sample number within the whole experimentICP.run= ICP run - usually 576 samples per runWR.run= WR run - 288 samplesWR.plate= plate within the WR run, 6 48-well plates/WR.runICP.plate= plate within the ICP run 12 48-well plates/ICP.runICP.runnum= sample number on ICP unique within each ICP runMissing numbers in ICP.runnum,Run, and fullnum are usually the locations Controls were run at.All data is weight-normalized ppm concentrations. MaizeNAM.06FLdataset.csv Maize
14 Purdue 2010 IBM, Association Panel, and Ky21 Maize population ionomics data.Fields:plate= 48 well plate seeds are loaded into. Unique in experimentnuminset= unique ID within each WR setRun= sample # on ICP unique within each WR setFullnum= sample number within the whole experimentICP.run= ICP run - usually 576 samples per runWR.run= WR run - 288 samplesWR.plate= plate within the WR run, 6 48-well plates/WR.runICP.plate= plate within the ICP run 12 48-well plates/ICP.runICP.runnum= sample number on ICP unique within each ICP runMissing numbers in ICP.runnum,Run, and fullnum are usually the locations Controls or samples from another population were runAll data is weight-normalized ppm concentrations. IBM.AssPan.Ky21.10PUdataset.csv Maize
13 Purdue 2009 IBM and Association Panel Maize ionomics data.Fields:plate= 48 well plate seeds are loaded into. Unique in experimentnuminset= unique ID within each WR setRun= sample # on ICP unique within each WR setFullnum= sample number within the whole experimentICP.run= ICP run - usually 576 samples per runWR.run= WR run - 288 samplesWR.plate= plate within the WR run, 6 48-well plates/WR.runICP.plate= plate within the ICP run 12 48-well plates/ICP.runICP.runnum= sample number on ICP unique within each ICP runMissing numbers in ICP.runnum,Run, and fullnum are usually the locations Controls were run at.All data is weight-normalized ppm concentrations. IBM.AssPan.09PUdataset.csv Maize
23 R scripts and data from Baxter et al. PNAS 2008 Baxter_etal_supp_scriptsandinputfiles.zip Arabidopsis
11 R scripts and data from Baxter et al. PLoS ONE, 2012 Baxter_etal_PLoSONE_2012_data_scripts.zip Arabidopsis
51 Scripts and data for 'Multivariate analysis reveals environmental and genetic determinants of element covariation in the maize grain ionome. Asaro et al. https://www.biorxiv.org?download=1/early/2017/12/31/241380 Multivariate_Analysis_of_Maize_Grain_Ionome_Data_and_Scripts.zip Maize
53 IPSRI.2015.2016.IonomicsData.csv contains measurements of elemental concentrations for the Illinois Protein Strain Recombinant Inbred (IPSRI) population grown at UIUC in 2015 and 2016. There is a row for each seed measured, multiple seeds were measured per plot. Concentrations were normalized for sample weight and corrected for batch effects by extracting the residuals from this linear model:Phenotype ~ batch + kernelWeight. Thus, each phenotype can be interpreted as concentration (in parts-per-billion) above or below the population mean. Extreme analytical outliers have been removed from this dataset. The SingleSeedWeight is the weight of the kernel digested and analyzed for ionomics in milligrams. This data was generated as part of the NSF award IOS-1638507 2015.2016.IPSRI.Ionomics.Data.zip Maize
50 Final Data and Scripts from Huber et al, PeerJ 2016 "Canopy position has a profound effect on soybean seed composition" FinalDataAndScripts081816.zip Soybean
24 Scripts and Data files for Baxter et al. 2014. http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0087628 ScriptsandData.zip Maize
52 Scripts and Data files for Kohler et al. "Increased temperatures may safeguard the nutritional quality of crops under future elevated CO2 concentrations" FInalKohler_Scriptsanddatafiles.zip Soybean