Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
31
datasets available to search
ShareScore release 0.9.0
Dataset results
31 results for “Soil Health”
Compost Amendments up to One Inch Restore Dry Rangeland Soil Health and Plant Productivity in New Mexico, 2020-2022
Dry rangelands are important systems for coproducing food and other ecosystem services, but degradation of productivity, diversity, and water holding capacity may require active intervention to restore. Use of compost amendments on grasslands has been shown to improve many outcomes related to carbon, water, and nutrients unless excessive amounts are used, but practitioners lack guidance of optimal and cost-effective use to meet their management goals. We compared compost additions from 0-2.54 cm at two ranches in New Mexico and measured plant composition and biomass, soil characteristics such as bulk density, infiltration rate, aggregate stability, and total carbon content under baseline conditions and one- and two years after addition.
Preliminary table of Citizen Science initiatives for monitoring soil health
<p>This matrix is the result of collaborative work for Deliverable 1.1 (WP1; T1.1) of the ECHO project. It facilitated the creation of an overview of the current state of the art in projects, initiatives, or activities that have already involved citizens in monitoring soil health, from both inside and outside the European Union. From this, strategic recommendations for ECHO were derived, ensuring that this project not only makes a valuable contribution to the field of soil health monitoring but also sets a precedent for future citizen science endeavors.</p>
EJPSOIL ARTEMIS on-farm monitoring of soil health and ecosystems services (meta)data
<p>This database includes the data and metadata from the initial on-farm monitoring od soil health and soil related ecosystem services of the EJPSOIL ARTEMIS project. </p>
OSMO soil health dataset 2015-2018
<p>This is soil health data collected from 24 Finnish fields between 2015-2018. The fields were chosen to represent fields with poor and good productivity on a given farm. The dataset is coded based on farm code (two letters) and field code: 0 poor field, no interventions; 1 poor field, improved soil management; K good field.</p> <p>Fields were monitored for soil nutrients, soil physical quality and some biological parameters (aggregate stability, earthworms, arthropods, soil carbon dioxide burst respiration).</p> <p>The overview dataset contains the parameters used for monitoring development in soil health in the fields, the additional dataset present plant tissue nutrient concentrations and soil structure evaluation as well as a comparison of organic matter analysis from three laboratories and a comparison of two aggregate stability assessment methods. </p> <p>More information on the study can be found in the two reports (in Finnish, w. English abstracts):</p> <p>http://hdl.handle.net/10138/229450</p> <p>http://hdl.handle.net/10138/309062</p>
CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS
<p>This repository contains the dataset ‘CoUDlabs_TA_OTHU-SuDS-NBS-RECON: Correlating plant health with soil moisture in NBS’ which is a result from the Transnational Access, within Co-UDlabs project, funded under the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101008626. </p> <p>These experiments introduce a new approach which uses low-cost multi-spectral camera (Plant-o-Meter) to estimate plant health (through various parameters) to link with soil moisture of the bioretention systems (biofilters and green roof) as a common element of nature-based solutions (NBS). Soil moisture is used as a proxy for polluted water retention and pollutant removal within the system. The aim of this work is to provide a proof of concept for indirect measurement of urban polluted water treatment through different types of NBS. The experiments have been done on real stormwater biofilters, under controlled conditions (artificial irrigation). Data from the experimental campaign presented here will help to understand fundamental correlations between plant health parameters and the change in soil moisture, giving us a tool for quick assessment of the need for maintenance of various NBS as a crucial parts of UD systems.</p> <p>The authors acknowledge financial support from the European Union under the Horizon 2020 program within a contract for Integrating Activities for Starting Communities (Ref. 101008626)</p> <p>>>>For detailed description of the dataset, please see <a href="https://zenodo.org/api/records/14191602/draft/files/README_NBS-RECON_dataset.txt/content" target="_blank" rel="noopener noreferrer">README_NBS-RECON_dataset.txt</a> and <a href="https://zenodo.org/api/records/14191602/draft/files/CoUDlabsDataStorageReport_NBS-RECON.docx/content" target="_blank" rel="noopener noreferrer">CoUDlabsDataStorageReport_NBS-RECON.docx</a></p>
Soil health explains the yield-stabilizing effects of soil organic matter under drought
<p>Supporting data for Mahmood, S., Nunes, M.R., Kane, D.A., and Lin, Y. Soil health explains the yield-stabilizing effects of soil organic matter under drought. <i>Soil & Environmental Health</i>. https://doi.org/10.1016/j.seh.2023.100048</p><p>Meta-data are contained in files with names ending with 'metadata.' </p><ul><li>'all_data.csv' contains all the county-level data.</li><li>'yield_deficit.csv' contains the mean county-wise yield deficit data.</li></ul>
Figure 1 in Positioning entomopathogenic nematodes for the future viticulture: exploring their use against biotic threats and as bioindicators of soil health
Figure 1. Example of the progression of authorized phytosanitary product usage in Spain against the most important diseases and pests of vineyards during the last decade. The size of each circle is proportional to the total number of phytosanitary authorized against each biotic threat.1
Impact of Schistosomiasis, Soil-Transmitted Helminthiasis and Anaemia on preschool and school-age children's health condition: post treatment predictive mapping in Benin Republic.
<p>This dataset provides information about the epidemiology of schistosomiasis, soil transmitted helminthiasis and anemia alongside malnutrition among preschool and school age children in Ouake and Bembereke districts of donga and borgou departments in Benin republic.</p>
ReCon Soil Project: Dataset for Identification of Soil Health Indicators in Construction
<p>This dataset represents experimental results from Work Package 4 of the ReCon Soil Project: https://www.plymouth.ac.uk/research/institutes/sustainable-earth/the-recon-soil-project </p> <p>Soil health indicators for maintenance in a construction context, are less about soil fertility and more about maintaining those indicators identified, to minimise loss of carbon (C) and nitrogen (N), maintain soil microbial activity and to ensure stockpiled soils are maintained to a point where they can be reused effectively in the future. To this end, an experiment was designed in order to identify and monitor key soil health indicators for construction, and to investigate methods to mitigate against carbon losses in stockpiled soils.</p> <p>The main questions that were addressed were:</p> <p>1. Will sowing grass and other plant species in stockpiled soils reduce losses of C and N from the soil? </p> <p>2. What effect does soil stockpiling have on microbial communities? </p> <p>3. What effect does wood chip application on stockpiled soils have on C and N stocks and microbial communities? </p> <p>4. How do rapid in-field methods for carbon and microbial analysis compare with established lab methods?</p> <p>The experiment was established at the end of August 2022. Any vegetation was cleared from the study site by using a digger to scrape away the top 5cm of soil. Diggers were used to take soil from an area adjacent to the study site which had been undisturbed for 3-4 years, vegetation was cleared from this area and the topsoil was formed into 12 stockpiles (6m length x 4m width x 2m height). The stockpiles were then randomly assigned one of three treatments; amenity grass seed mix, herbal ley seed mix or control. For the seeded treatments, each stockpile was sown by hand to an application rate of 70g/m<sup>2</sup>. After seeds were sown, wood chip was applied by hand to half of each stockpile (randomly assigned), to a depth of covering of approximately 2cm. This resulted in 4 replicates of each combination producing 24 sample plots.</p> <p>Soil samples were collected using a soil sampling auger to collect samples at 0-30 cm and 90-100cm. One sample was taken from each replicate at both depths, these were taken at baseline (T<sub>0</sub>), and intervals of 1 week (T<sub>1</sub>), 2 weeks (T<sub>2</sub>), 4 weeks (T<sub>4</sub>) and every 4 weeks after that. The soil cores were sealed in sterile plastic bags and transported to the laboratory for processing.</p> <p>At each time point, soil was analysed in the laboratory at Eden Project Learning for the following parameters: non-purgeable organic carbon (NPOC), total nitrogen (TN), soil organic matter (SOM), gravimetric water content, pH, and microbial activity using a fluorescein diacetate assay. All remaining bagged soil samples were then transferred to a freezer and stored at -18°C. These were later defrosted and analysed for total organic carbon (TOC), available iron, ammonia, nitrate and nitrite at a subset of time points. Using in-field equipment, soils were analysed for CO<sub>2</sub> emissions at every time point, fungi:bacteria ratio and for soil carbon every 4 weeks. Samples for soil eDNA were taken from each replicate at T<sub>0</sub>, T<sub>8</sub> and T<sub>20</sub>.</p>
Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility testing and human health risks - Supplementary data
<p>This is a supplementary dataset to the paper:</p> <p>Hiller E., Faragó T., Kolesár M., Filová L., Mihaljevič M., Jurovič L., Demko R., Mchlica A., Štefánek J., Vítková M. (2024): Metal(loid)s in urban soil from historical municipal solid waste landfill: Geochemistry, source apportionment, bioaccessibility and human health risks. <em>Chemosphere</em> <strong>362</strong>, 142677. DOI: 10.1016/j.chemosphere.2024.142677</p> <p>This research was supported by the Johannes Amos Comenius Programme (OP JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks. The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).</p>
Synergism between production and soil health through crop diversification, organic amendments and crop protection in wheat-based systems
<ol> <li class="MsoNormal"><span>One of the critical challenges in agriculture is enhancing yield without compromising its foundation, a healthy environment, and, particularly, soils. Hence, there is an urgent need to identify management practices that simultaneously support soil health and production and help achieve environmentally sound production systems.</span></li> <li class="MsoNormal"><span>To investigate how management influences production and soil health under realistic agronomic conditions, we conducted an on-farm study involving 60 wheat fields managed conventionally, under no-till, or organically. We assessed 68 variables defining management, production, and soil health properties. We examined how management systems and individual practices describing crop diversification, fertiliser inputs, agrochemical use, and soil disturbance influenced production – quantity and quality – and soil health focusing on aspects ranging from soil organic matter over soil structure to microbial abundance and diversity.</span></li> <li class="MsoNormal"><span>Our on-farm comparison showed marked differences between soil health and production in the current system: organic management resulted in the best overall soil health (+ 47%) but the most significant yield gap (- 34%) compared to conventional management. No-till systems were generally intermediate, exhibiting a smaller yield gap (- 17%) and only a marginally improved level of soil health (+ 5%) compared to conventional management. Yet, the overlap between management systems in production and soil health properties was considerably large.</span></li> <li class="MsoNormal"><span>Our results further highlight the importance of soil health for productivity by revealing positive associations between crop yield and soil health properties, particularly under conventional management, whereas factors such as weed pressure were more dominant in organic systems.</span></li> <li class="MsoNormal"><span>None of the three systems showed advantages in supporting production-soil health-based multifunctionality. In contrast, a cross-system analysis suggests that multifunctional agroecosystems could be achieved through a combination of crop diversification and organic amendments with effective crop protection.</span></li> <li class="MsoNormal"><span><em>Synthesis and applications</em>: Our on-farm study implies that current trade-offs in managing production and soil health could be overcome through more balanced systems incorporating conventional and alternative approaches. Such multifunctionality supporting systems could unlock synergies between vital ecosystem services and help achieve productive yet environmentally sound agriculture supported by healthy soils.</span></li> </ol>
Synergism between production and soil health through crop diversification, organic amendments and crop protection in wheat-based systems
Open the record for dataset details and reuse information.
Soil physical, biological, chemical, and carbon data and cover crop biomass data from Sac Valley almond orchard comparing multiple cover crop compositions with resident vegetation for effects on soil health and nematodes
Open the record for dataset details and reuse information.
Data from: Global soil pollution by toxic metals threatens agriculture and human health
Open the record for dataset details and reuse information.
Data from: Soybean yield response to management practices (4–40 years) and soil health parameters
Open the record for dataset details and reuse information.
Data from: Impacts of rotation, tillage, cover cropping, and drainage on soil health in soybean-based cropping systems: Evidence from 4–50-year trials across the US
Open the record for dataset details and reuse information.
Nonylphenol in soil-celery system simulating long-term reclaimed water irrigation: occurrence, migration, and health risk assessment
<p>The data uploaded were the biomass of celery tissues and the concentraion of nonylphenol in soil and celery tissues after harvest.</p>
The effects of integrated food and bioenergy cropping systems on crop yields, soil health, and biomass quality: the EU and Brazilian experience
<p><strong>Data Set</strong></p> <p>This multiyear and multi-location study provides new insights on the integration of dedicated legume crops within conventional EU (wheat-maize) and Brazilian (sugarcane) farming systems so to meet the forecasted increasing feedstock demands for the production of renewable transport biofuels without negatively affecting food production nor soil fertility. Sunn hemp demonstrated to be a suitable leguminous fiber feedstock to be grown in extended crop rotations. Integrating sunn hemp within the conventional systems in EU did not have negative effects on food yields, while feedstock availability increased up to 2.0 times. In Brazil, sugarcane stalks yield increased up to 15 Mg ha<sup>-1</sup>.</p>
Data from: Crop health is predicted by soil microbial diversity across phylogenetic scales
<p>Soils contain diverse living communities that provide key ecosystem functions in agroecosystems. In many systems, ecosystems functions are positively related to the taxonomic, phylogenetic, and functional diversity of the community. Despite calls to incorporate microbial diversity in measures of soil health, whether increased microbial diversity <em>per se</em> can predict increased crop health and productivity has rarely been documented. Here we used microbial communities from commercial potato fields varying in diversity and composition, and experimentally assessed their ability to promote crop yield under low or high nutrient conditions and to suppress a soil-borne pathogen. Across two independent sets of communities, we found that yields under low nutrient conditions were predicted by high initial microbial diversity measured at broad phylogenetic levels, consistent with greater niche complementarity among unrelated taxa leading to greater total resource use. However, disease suppression was inconsistently linked to diversity and explained as well or better by microbial composition rather than diversity <em>per se</em>. Ecosystem multifunctionality was predicted by high diversity at broad to intermediate phylogenetic scales. These results indicate that the diversity of microbial taxa may influence multiple soil functions; however, the mechanisms underlying the diversity-function relationships may vary.</p>
Leveraging functional traits of cover crops to coordinate crop productivity and soil health
<p><span>1. Plants act as ecosystem engineers playing fundamental roles in steering their surroundings, including soil abiotic and biotic conditions, soil organisms, and the complex soil food web they comprise. Trait-based approaches have been considered a 'Holy Grail' in linking plants to ecosystem functions, but the mechanistic relationship between plant traits and the soil food web as an indicator of soil health remains poorly understood.</span></p> <p><span>2. We examined this relationship for 16 cover crop species differing in leaf and root traits in a field experiment where corn (Zea mays) was the main crop. Based on functional traits, the cover crop species were categorized into two ecological strategies at either end of the resource acquisitive-conservative spectrum. We investigated the effects of cover crop ecological strategies on corn productivity and soil health. We used soil nematodes as an indicator of soil health and analyzed soil physico-chemical properties and microbial community activities.</span></p> <p><span>3. We found that acquisitive cover crops supported higher soil resource availability, bacterial energy channels in the soil food web, and greater corn productivity than conservative cover crops. In contrast, conservative cover crops supported higher abundances of fungivores and omni-carnivores than acquisitive cover crop, which reflected a more structured and complex soil food web, implying a healthier soil ecosystem. Conservative cover crops also increased corn productivity compared to the no cover crop control treatment.</span></p> <p><span>4. Synthesis and applications. Collectively, this work shows that cover crops with distinct ecological strategies had their own strengths to enhance ecosystem functions: acquisitive and conservative cover crops improved crop productivity and soil health, respectively. These results indicates that farmers and policy makers can make trait-based choices in selecting cover crop best serving the local needs. This points to a win-win solution for food production and ecosystem sustainability.</span></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.