Evidence map›Paper›PMID 40442120›Full record

ArticleScientific data2025

Remediating toxic elements with sunflower, hemp, castor bean, & bamboo: an open dataset of harmonized variables.

Hyunji Ha, Ken G Sweat, Kendra D Conrow, Richard S Haney, Thomas M Cahill, David S LeBauer, Maxwell C K Leung

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hyunji HaSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.
Ken G SweatSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.
Kendra D ConrowSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.ORCID http://orcid.org/0000-0001-7799-5489
Richard S HaneySchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.
Thomas M CahillSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA.
David S LeBauerArizona Experiment Station, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0001-7228-053X
Maxwell C K LeungSchool of Mathematical and Natural Sciences, Arizona State University, Glendale, AZ, USA. mckleung@asu.edu.ORCID http://orcid.org/0000-0003-1530-3306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset was compiled between August 1, 2022, and March 15, 2023, through a comprehensive literature review of 587 studies on the uptake of elements from the soil by plants (i.e., phytoremediation). As a proof of concept, we compiled research results on four commodity crops suitable for phytoremediation in semi-arid environments, namely sunflower, hemp, castor bean, and bamboo. Two hundred thirty-eight studies had data on soil types, elemental pollution, and plant components for calculating bioconcentration factors. Using a harmonized set of variables, we extracted data from these studies to create a database to organize results for interpretation and enable consistent and further literature analysis. This approach can help industry experts and environmental researchers select crops for their intended extraction applications, as well as provide insights into the bioaccumulation of toxic elements in plants.

Indexed as

Biodegradation, EnvironmentalCannabisHelianthusRicinus communisSoil PollutantsCrops, AgriculturalSoilSoilSoil Pollutants

Identifiers

PMID40442120
PMCPMC12122871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.