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2,078 results for “soil data”
Data from: Natural tree colonisation of organo-mineral soils does not provide a net carbon capture benefit at decadal timescales
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Snow depth, air temperature, humidity, soil moisture and temperature, and solar radiation data from the basin-scale wireless-sensor network in American River Hydrologic Observatory (ARHO)
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Southern Sierra Critical Zone Observatory (SSCZO), Providence Creek meteorological data, soil moisture and temperature, snow depth and air temperature
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Data for: Quantifying direct yield benefits of soil carbon increases from cover cropping
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High frequency soil sensor data for SOM input - Complex drivers of riparian soil oxygen variability revealed using self-organizing maps
The provided datasets contain the original (non-normalized) high-frequency soil and meteorological observations that were fed to the Self-Organizing Map (SOM) in order to identify ranges of values associated with low and high soil O2 conditions. For the Champlain Valley (CV) site we used the natural breaks algorithm to subset the data into high and low O2 datasets. O2 values were consistently low at the Green Mountains (GM) site, so we ran a single SOM for all O2 values at this site. The original values were then range-normalized before they were fed to the SOM.
Data and R code for “Tree regeneration response to a shifting soil nutrient economy depends on mycorrhizal association and age”, Forest Ecology and Management, 2022
Atmospheric nitrogen (N) deposition has led to an increase in N cycling and N availability. This increase in inorganic N is likely to impact forest ecosystems, although the responses remain uncertain. Most tree species are associated with one of two mycorrhiza types – arbuscular mycorrhizae (AM) or ectomycorrhiza (ECM). Due to functional differences in their ability to access soil nutrients, we might expect that increased N cycling and availability of inorganic N would benefit AM associated species, with negative or neutral impact for ECM associated species. This study addresses how the abundance of the regeneration layer responds to those shifting soil conditions, based on their mycorrhizal association. We used a long-term experiment located in a temperate deciduous forest, where the native acidic soils are low in nutrients. Soil treatments began in 2009, by adding lime and/or phosphate to raise pH and increase the availability of N and P. All trees ≥ 6.0 cm in 2010 were tagged and have been monitored with annual censuses. To quantity the density of the regeneration layer, seedlings and saplings were recorded in the control and limed plots in 2019. Trees that had recruited into the canopy (DBH ≥ 6.0 cm) were measured in 2020 in all treatment plots. Seedlings older than one year responded to the treatments as predicted, as AM seedlings increased by 42% in the lime treatment (1.53 ± 0.38 individuals per m2 in control, to 2.17 ± 0.56 in lime) and ECM seedlings decreased by 49% in response to liming (0.61 ± 0.14 individuals per m2 in control, to 0.31 ± 0.04 in lime). AM saplings also responded positively to liming, increasing 254% from control to lime (from 0.013 ± 0.003 to 0.046 ± 0.018 individuals per m2), while ECM sapling abundance was neutral (0.063 ± 0.015 individuals per m2 in control, and 0.054 ± 0.009 in lime). The highest number of ECM recruits was found in the control plots (34.4%), followed by phosphate (25.8%), lime + phosphate (21.5%), then lime (18.3%).
Microbial biomass and soil properties data, global scale,1970s-2010s
The data for Microbial Data System. We will collect data for soil and microbial characteristics in terrestrial ecosystems and update regularly. The date of publications used spans from the late 1970s to 2012. The data were aggregated into 11 major biome types. These data points were collected exclusively for surface soils, primarily 0–15 cm depth with some 0–30 cm. We obtained 3259 data points with geographical information.
Water and soil chemistry and molecular composition data of dissolved organic matter from soils in the central Amazon rainforest, 2019-2021
This dataset was created based on sampling campaigns in the central Amazon rainforest. It covers four field sites in vicinity of the Amazon Tall Tower Oberservatory project (ATTO). The field sites are comprised of pristine, old-growth rainforest with distinct forest types: terra firme forest (Plateau and Terrace sites) and white-sand forest (Campina and Campinarana sites). Freely percolating soil porewater was sampled repeatedly in soil profiles from 0 to 30 cm in the wet seasons (October to May) of 2019, 2020 and 2021. Solid soil samples were taken in vicinity to the plots in October 2017. The datasets include chemical and texture (particle size fractions) and chemical (metals, cation exchange capacities and pH) data from soil samples. Soil porewater samples were measured for pH, electrical conductivity and dissolved organic carbon (DOC) concentrations. There are some missing values for these data, particularly for DOC concentrations. Soil porewater samples were used for solid-phase extraction of dissolved organic matter (DOM). The molecular composition was measured by ultra-high resolution mass spectrometry (Orbitrap Elite MS). The detected masses were used to assign molecular formulas. The data include the assigned molecular formulas and sum-normalized intensites of all samples. This data is associated with a Ph.D. dissertation chapter (Lange, 2025) and a journal article (Lange et al., accepted).
Data for Lynn et al. “Soil microbes that may accompany climate warming increase alpine plant production”; accepted at Oecologia
Climate change is causing species with non-overlapping ranges to come in contact, and a key challenge is to predict the consequences of such species re-shuffling. Experiments on plants have focused largely on novel competitive interactions; other species interactions, such as plant-microbe symbioses, while less studied, may also influence plant responses to climate change. In this greenhouse study, we evaluated interactions between soil microbes and alpine-restricted plant species, simulating a warming scenario in which low elevation microbes migrate upslope into the distribution of alpine plants. We examined three alpine grasses from the Rocky Mountains, CO, USA (Poa alpina, Festuca brachyphylla, Elymus scribneri). We used soil inocula from within (resident) or below (novel) the plants' current elevation range and examined responses in plant biomass, plant traits, and fungal colonization of roots. Resident soil inocula from the species' home range decreased biomass to a greater extent than novel soil inocula. The depressed growth in resident soils suggested these soils harbor more carbon-demanding microbes, as plant biomass generally declined with greater fungal colonization of roots, especially in resident soil inocula. Although plant traits did not respond to the provenance of soil inocula, specific leaf area declined and root:shoot ratio increased when soil inocula were sterilized, indicating microbial mediation of plant trait expression. Contrary to current predictions, our findings suggest that if upwardly migrating microbes were to displace current soil microbes, alpine plants may benefit from this warming-induced microbial re-shuffling.
Data and R code for “Tree growth response to shifting soil nutrient economy depends on mycorrhizal associations”, New Phytologist, 2019.
The mycorrhizal-associated nutrient economy hypothesis proposes a strong connection between plant and fungal traits and the dominant form of soil nutrients. If true, then shifting from an organic to an inorganic nutrient economy should benefit arbuscular mycorrhizal (AM) trees because they are more suited to acquiring inorganic forms of nutrients and have limited decomposing capabilities when compared to ectomycorrhizal (ECM) trees. An inorganic nutrient economy was experimentally promoted by applying inorganic phosphorus (P) fertilizer and/or elevating soil pH with lime in three Allegheny Plateau mixed mesophytic forests. Trees were measured over seven growing seasons to determine how growth responded to the treatments based on mycorrhizal association. AM-associated trees showed increased growth in response to increased inorganic nutrients, but ECM tree growth was suppressed when compared to the control. We also observed that understory and mid-story trees responded to the treatments, but large overstory trees showed no significant growth response. Results support the hypothesis that AM trees respond positively to an inorganic nutrient economy. While raising pH in acidic soils can be detrimental to ECM tree growth, the exact mechanism for this response is unclear
SOils DAta Harmonization database (SoDaH): an open-source synthesis of soil data from research networks
This SOils DAta Harmonization (SoDaH) database is designed to bring together soil carbon data from diverse research networks into a harmonized dataset that can be used for synthesis activities and model development. The research network sources for SoDaH span different biomes and climates, encompass multiple ecosystem types, and have collected data across a range of spatial, temporal, and depth gradients. The rich data sets assembled in SoDaH consist of observations from monitoring efforts and long-term ecological experiments. The SoDaH database also incorporates related environmental covariate data pertaining to climate, vegetation, soil chemistry, and soil physical properties. The data are harmonized and aggregated using open-source code that enables a scripted, repeatable approach for soil data synthesis.
Biogeochemical and 13C NMR data from NEON surface mineral soils
To understand controls on soil organic matter chemical composition across North America, we collected 13C NMR spectra and conducted and synthesized additional biogeochemical measurements from NEON Megapit soil samples as well as additional samples (total n = 42). This dataset supports the findings described in the associated manuscript by Hall, Ye et al. (2020).
Meta-analytical data on soil organic, particulate organic, and mineral-associated organic carbon under nitrogen fertilization, elevated atmospheric carbon dioxide, atmospheric warming, increased precipitation, drought, and their combined effects
Data were harvested from journal articles found on the Web of Science Core Collection and the ProQuest Agricultural and Environmental Database that studied soil organic matter fraction carbon responses to global changes (nitrogen fertilization, elevated atmospheric carbon dioxide, atmospheric warming, increased and decreased precipitation, and combined effects). Soil organic carbon fractions were designated as particulate organic carbon or mineral-associated organic carbon based on size and density cutoffs. Relevant metadata, including article information (authors, publication year), environmental information (soil type, climate, and land use), and experiment information (rates, methods) were also added to the dataset.
Carbon decomposition data from oxygen-limited soils
To understand carbon (C) decomposition under cyclic, time-varying oxygen (O2) fluctuations, we incubated two disparate soils (Oxisol and Mollisol) under five fluctuating oxygen treatments (0, 2, 4, 8, or 12 days of anoxic conditions followed by 4 days of oxic conditions), and measured C decomposition as CO2 and CH4 (and their stable isotope compostion) at 2–4-day measurement timesteps for 384 days. We also used a process-based mechanistic model to test C decomposition in response to O2 fluctuations. This dataset supports the findings described in the associated manuscript by Huang et al. (2021).
Biogeochemistry data set for soil waters, streams, and lakes near Toolik on the North Slope of Alaska, 2011.
Data file describing the biogeochemistry of samples collected at various sites near Toolik Lake, North Slope of Alaska. Sample site descriptors include a unique assigned number (sortchem), site, date, time, depth, distance (downstream), elevation, treatment, date-time, category, and water type (lake, surface, soil). Physical measures collected in the field include temperature (water, soil, well water), conductivity, pH, average thaw depth, well height, discharge, stage height, and light (lakes). Chemical analysis for the sample include alkalinity; dissolved inorganic and organic carbon (DIC and DOC); inorganic and total dissolved nutrients (NH4, PO4, NO3, TDN, TDP); particulate carbon, nitrogen, and phosphorus (PC, PN, and PP); cations (Ca, Mg, Na, K, and Si); anions (SO4 and Cl); and oxygen.
Soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature data from Toolik Field Station, Toolik Lake, Alaska for 2000.
Weather data file for Arctic Tundra LTER site at Toolik Lake. Only the sensors that are measured every 10 minutes and averaged every three hours are include, i.e. soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature.
Soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature data from Toolik Field Station, Toolik Lake, Alaska for 1993.
Weather data file for Arctic Tundra LTER site at Toolik Lake. Only the sensors that are measured every 10 minutes and averaged every three hours are include, i.e. soil temperatures, lake temperature, lake depth, and evaporation pan depth and pan water temperature.
Soil temperature data from the Toolik Tussock Experimental plots, Arctic LTER 1990.
Soil temperature data from the Toolik Tussock Experimental plots. In 1990 a Campbell CR21x datalogger was installed in block 2 of the Toolik LTER experimental tussock plots. The plots are located on a hillside near Toolik Lake (68 38' N, 149 36'W). Sensors were placed in a control, fertilized, greenhouse, greenhouse fertilized, shade house and shade house fertilized sites.
Soil temperature data from the Arctic LTER Toolik Tussock Experimental plots, Arctic LTER 1991.
Soil temperature data from the Arctic LTER Toolik Tussock Experimental plots. In 1990 a Campbell CR21x datalogger was installed in block 2 of the Toolik LTER experimental tussock plots. The plots are located on a hillside near Toolik Lake (68 38' N, 149 36'W). Sensors were placed in a control, fertilized, greenhouse, greenhouse fertilized, shadehouse and shadehouse fertilized sites.
Mineral soil moisture and temperature data from unburned stands used in the effects of variations in post-fire organic layer thickness studies in the Delta Junction region, 1995-2003
This database contains measurements of mineral soil temperature and moisture collected in unburned stands as part of an analysis of variations in the depths of surface organic layers found in burned and unburned black spruce stands, and the effects of variations in depth of burning on soil temperature and moisture, and organic layer carbon stocks. Data for the overall study were collected between 1995 and 2003 by Eric Kasischke (University of Maryland), Kathy O'Neill (Duke University), and Jill Johnstone (University of Alaska Fairbanks). Sites were located in burned black spruce stands within the perimeters of three recent fires (1987, 1994, and 1999), unburned black spruce stands adjacent to the burned stands, and within one black spruce stand that burned in 1956. The three fires were: (a) the 1987 Granite Creek fire located 15 km to the east of Delta Junction, Alaska USA, bordering the Alaska Highway on the North and Jarvis Creek on the south; the 1994 Hajdukovich Creek fire located 45 km southeast of Delta Junction Alaska, USA, bordering the Alaska Highway to the North and the Gerstle River to the West, and the 1999 Donnelly Flats fire, located 8 km south of Delta Junction, bordering Jarvis Creek to the east and the Richardson Highway on the west. Data that were collected and are in databases associated with this project include:; (1) organic layer depths in burned stands; (2) organic layer depths in unburned stands; (3) basal diameters of overstory trees in unburned stands and distance measures that can be used to estimate stand density; (4) mineral soil temperature and moisture data in burned stands; (5) mineral soil temperature and moisture data in unburned stands; and (6) bulk density and percent carbon data from different organic layers in unburned stands.
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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)
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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.