Skip to main content
Powered by ShareScore

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.

237

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

237 results for “Soil properties”

Learn how ShareScore rates datasets ↗
edi40/100

Eight Mile Lake Research Watershed, Carbon in Permafrost Experimental Heating Research (CiPEHR): Off Plot Soil Incubation By Depth I - Soil Properties and Final Microbial Biomass 2013-2014

The Carbon in Permafrost Experimental Heating Research (CiPEHR) project addresses the following questions: 1) Does ecosystem warming cause a net release of C from the ecosystem to the atmosphere?, 2) Does the decomposition of old C, that comprises the bulk of the soil C pool, influence ecosystem C loss?, and 3) How do winter and summer warming alone, and in combination, affect ecosystem C exchange? We are answering these questions using a combination of field and laboratory experiments to measure ecosystem carbon balance and radiocarbon isotope ratios at a warming experiment located in an upland tundra field site near Healy, Alaska in the foothills of the Alaska Range. We investigated C and nitrogen (N) mineralization within the soil profile by incubating soil cores collected adjacent to (but not within) the CiPEHR site. These soil cores spanned the entire active layer and approximately 30 cm of permafrost. Soil cores were separated into 10 cm depth intervals and incubated for 241 days at 15 degC and field moisture was maintained with water additions. This dataset contains data on the bulk soil %C, bulk soil %N, soil bulk density, initial gravimetric water content measured prior to the incubation. Microbial biomass was measured at the end of the incubation and is presented here as well.

openOpenMay 2018View details →
edi40/100

Ecological Survey of Central Arizona: soil chemistry and soil properties in the greater Phoenix metropolitan area and surrounding Sonoran desert, survey year 2000

The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient. This data set focuses specifically on soil chemistry and soil properties assessed during the 2000 survey year. Investigators interested in soil data from more recent surveys or other measured variables should search the data catalog for 'ecological survey of central arizona' or 'survey 200' to locate those and other data related to the CAP LTER's ESCA.

openCustomJun 2018View details →
edi40/100

McMurdo Dry Valleys Soil Properties Effects on Electrical Conductivity

Investigation of the effect of short-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic (coiled) nematodes with relation to soil moisture, temperature, and salinity was determined. The study began in the austral summer of 1996/1997. Sample gathered at locations at south side of Lakes Hoare and Fryxell, plus a moss site near Canada Glacier on Jan 1st 1997

openOpenNov 2014View details →
edi40/100

McMurdo Dry Valleys Soil Properties Effects on Soil Moisture

Investigation of the effect of short-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic nematodes with relation to soil moisture, temperature, and salinity was determined. The study began in the austral summer of 1996/1997. Locations: South side Lake Hoare and Fryxell, and moss site near Canada Glacier.

openOpenNov 2014View details →
edi40/100

McMurdo Dry Valleys Soil Properties Effects on Soil Biota

Investigation of the effect of short-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic (coiled) nematodes with relation to soil moisture, temperature, and salinity was determined. The study began in the austral summer of 1996/1997.

openOpenNov 2014View details →
edi40/100

McMurdo Dry Valleys Soil Properties Effects on Chlorophyll-A Concentrations

Investigation of the effect of short-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic (coiled) nematodes with relation to soil moisture, temperature, and salinity was determined. The study began in the austral summer of 1996/1997. Samples gathered in the south side of the Lakes Hoare and Fryxell, and in a moss site near the Canada Glacier on Jan 1st 1997

openOpenNov 2014View details →
edi40/100

Soil chemical and physical property data for Green Lakes Valley, 1982 - 1983.

The genesis and water chemistry of two soil catenas and mineralogy of eolian dust were studied to evaluate the capacity of these soils to buffer acid conditions. Field and laboratory analyses of 50 soil pits and three eolian dust traps indicated that the surface horizons are mainly eolian dust accumulation and the subsurface horizons differed in texture, organic carbon percentage, bulk density, pH, concentration of soluble and exchangeable ions, dissolved organic carbon, and distribution and concentration of clay materials. The chemistry and mineralogy of the eolian dust resemble those of the surface horizons. Calcite, which increases soil buffering capacity, was found in the eolian dust. The eolian calcite probably comes from western Colorado, where limestone exposures are common. This natural liming process may reduce effects of acid rain on the aquatic system.

openCC (other)Oct 2018View details →
edi40/100

Soil chemical and physical property data for Martinelli slope, mid-1980s.

Soil pits were excavated at the Martinelli slope within the Boulder City Watershed. Soil profiles were described in the field and samples were analyzed in the laboratory for various constituents.

openCC (other)Oct 2018View details →
edi40/100

Soil chemical and physical property data for Saddle nodal plots, 1986.

Samples were collected from various soil horizons during installation of tension soil solution samplers adjacent to nodal plots in the Saddle. Excavation was limited to minimize disturbance. Consequently, complete soil profile descriptions were not made. Samples were analyzed in the laboratory for various constituents.

openCC (other)Oct 2018View details →
zenodo36/100

Spectral data presented in Hinrichs J L, Lucey P G. Temperature-dependent near-infrared spectral properties of minerals, meteorites, and lunar soil.

<p>In this dataset, we present the spectral data in paper:&nbsp;Hinrichs, J. L., &amp; Lucey, P. G. (2002). Temperature-dependent near-infrared spectral properties of minerals, meteorites, and lunar soil.&nbsp;<em>Icarus</em>,&nbsp;<em>155</em>(1), 169-180.</p>

opencc-by-4.0Jun 2021View details →
zenodo36/100

Evaporation and permeameter data hydraulic properties stony soil

<p>We used the evaporation method to determine the hydraulic conductivity and the retention curve of a soil sample. The principle of this method is to simultaneously measure the matric head at different depths and the water content of an initially saturated soil sample submitted to evaporation.</p> <p>The experiments were performed over cylindrical Plexiglas samples of 1 L (height: 65 mm), perforated at the bottom to allow saturation from below and open to atmosphere on the upper side to allow evaporation of the soil moisture. Four 6 mm-long ceramic tensiometers (SDEC230) were introduced at 10, 25, 40 and 55 mm in height, respectively denoted T1 to T4 (the reference level is located at the bottom of the sample). In order to avoid preferential flow due to the introduction of the tensiometers on a same vertical line, each hole of the sample was horizontally shifted of 12 degrees vis-&agrave;-vis the center of the tube. The tensiometers are connected through a tube to a pressure transducer (DPT-100, DELTRAN). The setup was filled with degased water. The variation in pressure of the drying soil was recorded every 15 min by a CR800 (CAMPBELL SCIENTIFIC). Tensions beyond the consolidation point were not taken into account. The consolidation point refers to the state from which the measured pressure head starts to decrease as bubbles appear and water vapour accumulates (typically 68 kPa cm in this case).</p> <p>The total water loss as a function of time was monitored by a balance (OHAUS) with a sensitivity of 0.2 g with an accuracy of &nbsp;1 g with a time resolution of 15 min. A 50 W infrared lamp was positioned 1 m above the sample surface to slightly speed up the evaporation process. The light was turned off for the first 24 hours of every experiment, as the evaporation rate is already high in a saturated sample. A measuring campaign lasted until 3 of the 4 tensiometers ran dry (the tension sharply drops down to approximately a null value). At the end of the experiment, the sample was oven dried for 24 hours at 105&deg;C to estimate the .</p>

opencc-zeroDec 2015View details →
dryad36/100

Woody debris removal modifies carbon stocks and soil properties in a fragmented tropical rainforest

<p>We examined whether and how woody debris removal for domestic fuel affects carbon storage and soil properties in an Indian rainforest. Fuelwood removal reduced aboveground carbon stocks, increased soil bulk density, and possibly reduced soil phosphorus stocks. Equitably balancing this subtle trade-off between climate-regulating and vital, widely-utilized provisioning functions, is a challenge for tropical forest research and management.</p>

opencc-zeroJan 2024View details →
dryad36/100

Soil properties shape the heterogeneity of denitrification and N2O emissions across large-scale flooded paddy soils

<p>The dataset's contents include the relative abundance of different denitrifier types at the genus level across eight different flooded paddy soils. This dataset categorizes denitrifier types in its first column labeled 'Type.' The second column, 'Genus,' associates each type with various species at the genus level. Subsequent columns present the relative abundance of these species in diverse sampling locations. Researchers can leverage this dataset to derive more patterns regarding the differences within specific dominant denitrifier species. No ethical considerations are pertinent to the utilization of this dataset.</p>

opencc-zeroJan 2024View details →
zenodo36/100

Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000-2020.

<p>The dataset includes data from forest soil surveys conducted in the period 2000&ndash;2020. It provides soil and site variables from 8,269 locations. Data are aggregated in three basic soil layers: upper organic soil horizon (FH, 6,876 locations), upper mineral layer 0&ndash;30 cm (M03, 8,051 locations) and deeper mineral soil layer (30&ndash;80 cm, M38, 2,260 locations).</p> <p>This dataset is linked to the following article published in Annals of Forest Science:</p> <p>Neudertov&aacute; Hellebrandov&aacute;, K., Fadrhonsov&aacute;, V. &amp; &Scaron;r&aacute;mek, V. Aggregated database of forest soil chemical properties in the Czech Republic based on surveys from 2000 to 2020. Annals of Forest Science 81, 17 (2024). <a href="https://doi.org/10.1186/s13595-024-01225-y">https://doi.org/10.1186/s13595-024-01225-y</a></p>

opencc-by-4.0Apr 2023View details →
dryad36/100

Data from: Relationships between rhizosphere microbial communities, soil abiotic properties and root trait variation within a pine species

<p>Rhizosphere microbes play important roles in plant performance and ecosystem functioning. It is becoming increasingly clear that rhizosphere communities vary with soil properties and variation in root traits among plant species. However, less is known about whether and how variation in root traits within plant species influences the rhizosphere microbial communities.</p> <p>We evaluated the intraspecific root traits variation and explored their associations with bacterial and fungal communities in rhizosphere by focusing on an ectomycorrhizal tree<em> </em>species, i.e., <em>Pinus massoniana</em>, in 22 sites in subtropical China.</p> <p>The first dimension of the principal component analysis on root traits revealed evidence for the 'conservation' gradient of the root economics space. Overall, root traits explained more variation in fungal communities than in bacterial communities in the rhizosphere. Functional composition of rhizosphere microbial communities changed significantly along the 'conservation' gradient, with fast-growing copiotrophic bacteria and symbiotic ectomycorrhizal fungi were significantly enriched on the 'acquisition' side, while slow-growing oligotrophic bacteria were significantly enriched on the 'conservation' side of the gradient.</p> <p><strong><em>Synthesis</em></strong>: Our study demonstrates that intraspecific variation in plant roots significantly influence rhizosphere microbial communities, which in turn can influence plant nutrition and therefore plant performance within the community.</p>

opencc-zeroMar 2024View details →
dryad36/100

Changes in community-weighted trait mean, functional diversity, soil chemical properties and temperature along an elevational gradient in Tenerife, Canary Islands

<p>This dataset comprises community-weighted trait means and functional diversity of leaf traits, chemical soil properties and temperature recorded in roadside (disturbed) and interior (less disturbed) plots, along an elevational gradient of 2,300 m in Tenerife, Canary Islands. The leaf traits measured were specific leaf area (SLA), nitrogen, nitrogen to phosphorus ratio, leaf dry matter content (LDMC) and carbon to phosphorus ratio. The soil chemical properties measured were pH, nitrogen, nitrogen to phosphorus ratio, carbon to phosphorus ratio, calcium, potassium, magnesium and cation exchange capacity. Also the scores of the three first axes derived from a PCA analysis including the soil chemical properties are included. The temperature variables consist of bioclimatic variables Bio10 (mean temperature of the warmest quarter) and Bio11 (mean temperature of the coldest quarter). This dataset has been used for the analysis presented in Ratier Backes et al. (2021).</p>

opencc-zeroDec 2021View details →
dryad36/100

Soil property, microbial abundance, and plant and invertebrate biomass data across a natural soil temperature gradient in Iceland from August 2018

<p><span>This is a dataset of soil physiochemical properties, bacterial and fungal abundance, and above and belowground plant and invertebrate biomass, sampled at 40 plots in the Hengill geothermal valley, Iceland, from 15<sup>th</sup> to 22<sup>nd</sup> August 2018. The plots span a temperature gradient of 10</span><span>-35 °C over the sampling period, and this temperature gradient is consistent over time. The dataset also includes data on the decomposition rate of soil organic matter, which was sampled at 60 plots in the Hengill valley from May to July 2015.</span></p>

opencc-zeroMar 2022View details →
zenodo36/100

An in situ observation dataset of soil hydraulic properties and soil moisture in a high and cold mountainous area on the northeastern Qinghai-Tibet Plateau

<p>Based on soil profile data at depths of 5 cm and 25 cm from 238 sampling sites, and on soil data from 32 soil moisture monitoring stations at depths of 5 cm, 15 cm, 25 cm, 40 cm, and 60 cm, we have compiled a soil hydraulic properties and soil moisture dataset for a high and cold mountainous area, Northeastern Qinghai-Tibet Plateau. Specifically, the soil hydraulic properties include clay, silt, sand, soil organic carbon, soil saturated hydraulic conductivity, soil water retention curve parameters (Van Genuchten model) and soil dry bulk density.</p>

opencc-by-4.0Jan 2022View details →
zenodo36/100

GSHP: Global database of soil hydraulic properties

<p>A total of&nbsp;15,259 SWCCs from 2,702 sites were assembled from published literature and other sources, standardized, and quality-checked to obtain global database of soil hydraulic properties (GSHP). The GSHP database covers most regions across the globe, with the highest number of curves from North America followed by Africa, Europe, Asia, South America, Australia/Oceania. In addition to SWCCs, other soil variables such as soil texture (12,233 measurements), bulk density (15,125 measurements), and soil organic carbon (2,255 measurements) are also listed in the database.</p> <p>The R code used for this study is available here:&nbsp;&nbsp;https://github.com/ETHZ-repositories/GSHP-database</p> <p>For more details / to cite this dataset please use:</p> <ul> <li>Gupta, S.,&nbsp;Papritz, A., Lehmann, P., Hengl, T., Bonetti, S., and Or, D., (2022): Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization&rdquo;. Manuscript accepted to <strong>Scientific Data.</strong></li> </ul> <p>Examples of using the GSHP database&nbsp;to generate van Genuchten parameters maps&nbsp;can be found in&nbsp;<a href="https://doi.org/10.5281/zenodo.6343570">10.5281/zenodo.6343570</a>.</p> <p><strong>Description of the files</strong>:</p> <p>The datasets in this repository include:&nbsp;</p> <p><strong>WRC_dataset_surya_et_al_2021_final&nbsp;</strong>provides a global compilation of soil hydraulic properties and the information described in&nbsp;the<strong> Readme_GSHP file</strong>.&nbsp;<strong>Dataset_notebook&nbsp;</strong>shows the graphical representation of the GSHP database.&nbsp;</p> <p>The study was supported by ETH Zurich (Grant ETH-18 18-1).&nbsp;</p>

opencc-by-4.0Dec 2020View details →
dryad36/100

Leaf enzyme plays a more important role in leaf nitrogen resorption efficiency than soil properties along an elevation gradient

<p>1. Nitrogen (N) resorption is a strategy for plant N conservation through which plants withdraw N from senescing leaves prior to litterfall and its underlying mechanisms are important for better understanding of N cycling. However, most current studies focused on the impacts of soil and leaf nutrients on leaf N resorption efficiency (NRE), and plant physiological regulation that is species-dependent is still unclear.</p> <p>2. Here, we conducted a field experiment to investigate the variations of leaf NRE along an altitudinal gradient in a temperate forest of Northeastern China.</p> <p>3. Results showed that leaf NRE of Q. mongolica and F. mandshurica increased with altitude, while leaf NRE of T. amurensis, A. mono and A. pseudosieboldianum exhibited an opposite trend, although the relationships were not significant for F. mandshurica and A. mono. The inconsistent responses of leaf NRE of different species to increasing altitude were primarily due to the effect of leaf Glutamate dehydrogenase (GDH), an enzyme responsible for N translocation. Leaf GDH activity in senescing leaves explained the variation of NRE more than soil and climate factors did, suggesting that different plant species had different physiological regulation strategies for their N conservation under similar environment.</p> <p>4. Synthesis. Our study highlights the role of leaf enzyme as a pivotal regulator of leaf NRE and helps us better understand and predict N cycling under climate change in forest ecosystems.</p>

opencc-zeroJul 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record