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709 results for “soil carbon”
Dataset on soil and soil microbial biomass carbon, nitrogen, and phosphorus stoichiometry
<p>Dataset on soil and soil microbial biomass carbon, nitrogen, and phosphorus stoichiometry. This dataset is compiled for for the scientific paper entitled "Interpreting stoichiometric homeostasis and flexibility of soil microbial biomass carbon, nitrogen, and phosphorus" (doi: 10.1016/j.ecolmodel.2022.110018).</p>
Edge effects increase soil respiration without altering soil carbon stocks in temperate broadleaf forests
<p>Anthropogenic disturbance has left the world's forests highly fragmented, with a significant proportion of edge-affected area. Abiotic changes at forest edges are likely to affect forest soil carbon cycling, as higher temperatures and lower moisture availability in edge environments have well-documented effects on soil respiration. The present study sought to quantify persistent changes in soil carbon cycling in the fragmented broadleaf forests of southeastern Pennsylvania. At three sites with >80 year old forest-field edges, three 100 m transects perpendicular to the edge were established. Monthly measurements of soil respiration, temperature, and moisture were made at fixede distances along each transect throughout the growing season. Soil carbon storage from 0-20 cm depth, litter biomass, and decomposition rates were also assessed. Soil respiration was significantly higher at forest edges, relative to the interior, and this effect penetrated 60 m into the forest. Significantly elevated surface soil temperature and decreased soil moisture were also observed in edge environments. Despite elevated soil respiration at the edge, soil carbon storage, litter bssomass, and decomposition rates were invariant along edge to interior gradients. The temperature responsiveness of soil respiration was significantly higher in the forest interior (100 m), relative to locations ≤60 m from the edge. Edge effects altering elements of the soil carbon cycle were apparent in the forests of southeastern Pennsylvania, and principally manifest as increased soil respiration rates and decreased temperature responsiveness of soil respiration. Lack of variation in soil carbon pools and decomposition rates from the forest edge to interior suggests that increased soil respiration may be related to changes in root and rhizosphere respiration at the edge. These findings contribute to a growing body of evidence documenting increased soil respiration in the edge environments of temperate broadleaf forests. Discounting the alterations imposed by forest fragmentation on carbon cycling has the potential to produce misleading estimates of land-atmosphere CO<sub>2</sub> exchange and terrestrial carbon storage.</p>
Maps of soil organic carbon stocks in Brazil
<p>This database was created by Gustavo Vieira Veloso and Lucas Carvalho Gomes 04/06/2022. <br> Contact: gustavo.v.veloso@gmail.com and lucascarvalhogomes15@hotmail.com <br> ------------------------------------------------------------------------------------</p> <p>Maps of soil organic carbon (SOC) stocks in Brazil of the article: "Modeling and mapping soil organic carbon stocks in Brazil" (doi: 10.1016/j.geoderma.2019.01.007)</p> <p>The dataset is composed of five folders of SOC stocks maps at the standard depths (0–5, 5–15, 15–30, 30–60, and 60–100 cm). The maps are in Geotif format (EPSG 102015) with a spatial resolution of approximately 1 km and include the mean SOC stocks, standard deviation (SD), coefficient of variation (CV), 0.05 and 0.95 quantiles.</p> <p>The maps are free to use and please cite also the article:<br> Gomes, L.C., Faria, R.M., de Souza, E., Veloso, G.V., Schaefer, C.E.G., & Fernandes Filho, E.I. (2019). Modeling and mapping soil organic carbon stocks in Brazil. Geoderma, 340, 337-350.</p> <p> </p>
Subarctic soil carbon losses after deforestation for agriculture depend on permafrost abundance - study data
<p>Contains the dataset and R code used for the study "Subarctic soil carbon losses after deforestation for agriculture depend on permafrost abundance".</p>
Data from: Decipher soil organic carbon dynamics and driving forces across China using machine learning
<p><span><span>The dynamics of soil organic carbon (SOC) play a critical role in modulating global warming. However, the long-term spatiotemporal changes of SOC at large scale and the impacts of driving forces remain unclear. In this study, we investigated the dynamics of SOC in different soil layers across China through the 1980s to 2010s using a machine learning approach and quantified the impacts of the key factors based on factorial simulation experiments. Our results showed that the latest (2000-2014) SOC stock in the first meter soil (SOC<sub>100</sub>) was 80.68 ± 3.49 Pg C, of which 42.6% was stored in the top 20 cm, sequestrating carbon with a rate of 30.80 </span><span>± 12.37</span><span> g C m<sup>-2</sup> yr<sup>-1</sup> since the 1980s. Our experiments focusing on the recent two periods (2000s and 2010s) revealed that climate change exerted the largest relative contributions to SOC dynamics in both layers and warming or drying can result in SOC loss. However, the influence of climate change weakened with soil depth, while the opposite for vegetation growth. </span><span>Relationships between SOC and forest canopy height further confirmed this strengthened impact of vegetation with soil depth, and highlighted the carbon sink function of deep soil in mature forest. Moreover, our estimates suggested that SOC dynamics in 71% of topsoil were controlled by climate change and its coupled influence with environmental variation (CE). Meanwhile CE and the combined influence of climate change and vegetation growth dominated the SOC dynamics in 82.05% of the first meter soil. </span><span>Additionally, the national cropland topsoil organic carbon increased with a rate of 23.6 </span><span>± 7.6 </span><span>g C m<sup>-2</sup> yr<sup>-1</sup> since the 1980s, and the widely applied nitrogenous fertilizer was a key stimulus. </span><span>Overall, our study extended the knowledge about the dynamics of SOC and deepened our understanding about the impacts of the primary factors.</span></span></p>
Data from: Loamy sand soil approaches organic carbon saturation after 37 years of conservation tillage
<p>This is digital research data corresponding to a published manuscript, Loamy sand soil approaches organic carbon saturation after 37 years of conservation tillage. Conservation tillage is reported to increase soil organic carbon (SOC) and total nitrogen (TN) contents, but long-term (>30 yr) field results quantifying the responses in Coastal Plain Ultisols are sparse. The distribution, accumulation, and topsoil storage of SOC and TN after 37 yr of crop production using conventional (CvT) or conservation tillage (CnT) on a Norfolk loamy sand (fine-loamy, kaolinitic, thermic, Typic Kandiudults) were quantified. Soil samples were collected annually from the 0−5-, 5−10-, and 10−15-cm depth increments beneath corn (Zea mays L.), soybean [Glycine max (L.) Merr.], and cotton (Gossypium hirsutum L.) crops.</p>
Dataset for manuscript entitled: Switchgrass cropping systems affect soil carbon and nitrogen and microbial diversity and activity on marginal lands
<p class="MsoListParagraph">Switchgrass (<em>Panicum virgatum</em> L.),<span> </span>as a dedicated bioenergy crop, can provide cellulosic feedstock for biofuel production while improving or maintaining soil quality. However, comprehensive evaluations of how switchgrass cultivation and nitrogen (N) management impact soil and plant parameters remain incomplete. We conducted<span> </span>field trials in three years (2016–2018) at six locations in the North Central Great Lakes Region to evaluate the effects of cropping systems (switchgrass, restored prairie, undisturbed control) and N rates (0, 56 kg N ha<sup>-1</sup> yr<sup>-1</sup>) on biomass yield and soil physicochemical, microbial, and enzymatic parameters. Switchgrass cropping system yielded an aboveground biomass 2.9–3.3 times higher than the other two systems (Jayawardena et al., In submission) but our study found that this biomass accumulation didn't reduce soil dissolved organic C (DOC), total dissolved N (TDN), or bacterial diversity. The annual aboveground biomass removal for bioenergy feedstock, however, reduced soil microbial biomass C (MBC) and N (MBN) and bacterial richness in the 2<sup>nd</sup> and 3<sup>rd</sup> years; despite this, continuous monocropping of switchgrass improved soil TDN, inorganic N, bacterial diversity, and shoot biomass in the 2<sup>nd</sup> and/or 3<sup>rd</sup> years when compared to the 1<sup>st</sup> year. N fertilization increased aboveground biomass yield by 1.2 times and significantly increased soil TDN, MBN, and the shoot biomass of switchgrass when compared to the unfertilized control. Locations with higher C and N contents and lower C:N ratio had higher aboveground biomass, MBC, MBN, and the activity of BG, CBH, and UREA enzymes; by contrast, locations with higher pH had higher soil TDN and activity of NAG and LAP enzymes. Our research demonstrates that switchgrass cultivation could improve or maintain soil N content and N fertilization can increase plant biomass yield. The comprehensive data also can inform future biogeochemical models to successfully implement switchgrass for bioenergy production.</p>
Large dataset of soil organic carbon and topographic derivatives
<p><strong>Abstract</strong>: The dataset compiles 840 georeferenced SOC measurements over a 26-ha agricultural field located in southern Ontario, Canada with a sampling density of ~32 points per ha. As SOC is influenced by site topography (i.e., slope and landscape position), each point of the database was associated with a wide range of topographic derivatives. The columns include sample ID, SOC measurement, latitude, Longitude, NDVI values, as well as a set of 54 topographic derivatives (i.e., primary and secondary - see metadat.pdf attached file) with a spatial resolution of a 5 m. </p>
More soil organic carbon is sequestered through the mycelium-pathway than through the root-pathway under nitrogen enrichment in an alpine forest
<p><span>Plant roots and associated mycorrhizae exert a large influence on soil carbon (C) cycling. Yet, little was known whether and how roots and </span><span>ectomycorrhizal</span><span> extraradical mycelia differentially contribute to soil organic C (SOC) accumulation in alpine forests under increasing nitrogen (N) deposition. Using ingrowth cores, the relative contributions of the root-pathway (RP) (i.e., roots and rhizosphere processes) and mycelium-pathway (MP) (i.e., extraradical mycelia and hyphosphere processes) to SOC accumulation were distinguished and quantified in an ectomycorrhizal-dominated forest receiving chronic N addition (25 kg N ha<sup>-1</sup> yr<sup>-1</sup>). Under the non-N addition, the RP facilitated SOC accumulation, while the MP reduced SOC accumulation. Nitrogen addition enhanced the positive effect of RP on SOC accumulation from +18.02 mg C g<sup>-1</sup> to +20.55 mg C g<sup>-1</sup> but counteracted the negative effect of MP on SOC accumulation from -5.62 mg C g<sup>-1</sup> to -0.57 mg C g<sup>-1</sup>, as compared to the non-N addition. Compared to the non-N addition, the N-induced SOC accumulation was 1.62~2.21 mg C g<sup>-1</sup> and 3.23~4.74 mg C g<sup>-1</sup>, in the RP and the MP, respectively. The greater contribution of MP to SOC accumulation was mainly attributed to the higher microbial C pump (MCP) efficacy (the proportion of</span><span> increased microbial residual C to the increased SOC under N addition) in the MP (72.5%) relative to the RP (57%). The higher MCP efficacy in the MP was mainly associated with the higher fungal metabolic activity (i.e., the greater fungal biomass and N-acetyl glucosidase activity) and greater binding efficiency of fungal residual C to mineral surfaces than those of RP. Collectively, our findings highlight the indispensable role of mycelia and hyphosphere processes in the formation and accumulation of stable SOC in the context of increasing N deposition.</span></p>
Savanna plant and soil carbon data from different burn seasons and histories across Mole National Park, Ghana
<p>Aboveground plant pool and belowground (soil plus root) carbon data for a space-for-time substitution survey of different burn seasons and histories across Mole National Park, Ghana. Carbon data was collected to determine the impact of unintentional late growing season wildfires on carbon storage in a protected area dominated by early growing season prescribed burning land management. The methodology and findings from the study are detailed in the below publication:</p> <p>Awuah J, Smith SW, Speed JDM, Graae BJ. 2022. Can seasonal fire management reduce the risk of carbon loss from wildfires in a protected Guinea savanna? Ecosphere, e4283. https://doi. 88 org/10.1002/ecs2.4283 </p> <p>This data repository contains the following data (and descriptive metadata): </p> <p>(1) Study_site_coordinates: locations for 28 sites surveyed in 2016 as part of an ecosystem carbon stock assessment</p> <p>(2) Aboveground_carbon: aboveground tree, shrub, herbaceous vegetation, deadwood and litter carbon stocks estimated from either destructive biomass sampling or allometric equations. Aboveground carbon data are presented per site. </p> <p>(3) LOI_to_carbon_conversion: a subset of soil samples were analysed for both loss on ignition (LOI) and automated dry combustion using an elemental analyser, the latter more accurate for carbon determination and used to correct LOI values. </p> <p>(4) Belowground_carbon: combined soil and root carbon collected collected to a maximum depth of 17 cm, and split into four soil layers (0-2 cm, 2-7 cm, 7-12 cm and 12-17 cm). </p> <p>MCD14DL MODIS Active Fire Detections data used to defined different burn seasons and histories for sites has not been uploaded and is freely available from online sources detailed in the journal article. </p>
Contribution of wheat and maize to soil organic carbon in a wheat-maize cropping system: a field and laboratory study
<p><span>Retention of crop biomass is widely recommended to improve soil organic carbon (SOC). However, the magnitude of contribution of aboveground residues and belowground roots from C3 and C4 crops to SOC is unclear. </span></p> <p><span>Data from a 10-year field experiment and a 60-day laboratory incubation were synthesized to identify the respective contribution of C3 (e.g., wheat) and C4 (e.g., maize) residues and roots to SOC, as well as its underlying mechanisms under no-till (NT) using <sup>13</sup>C labelling trace in wheat-maize rotations. </span></p> <p><span>The field experiment showed that residue retention significantly increased SOC accumulation, and SOC derived from wheat was 126.0% higher than that from maize. Conversion to NT promoted SOC derived from wheat and thus accumulated 17.6% higher SOC stock compared with plow tillage (PT) under residue returning at 0-20 cm soil depth (P<0.05). The data from laboratory incubation revealed the mechanisms that lower priming effects at 0-10 cm depth decreased total mineralization by 91.8% after inputs of wheat residues and roots compared with that of maize residues and roots, especially under NT compared with PT. Priming effects were negatively correlated with enzyme activities associated with the C recycle, SOC, and total nitrogen (TN) contents (P<0.01). NT increased enzyme activities, SOC, and TN contents and thus reduced priming effects and improved residual C. </span></p> <p><em><span>Synthesis and applications.</span></em><span> These results suggested that wheat may contribute more to SOC accumulation than maize, and carbon increment efficiency in farmland could be enhanced by considering the crucial roles of C3 crops in SOC accumulation. NT practice sustains the benefits of C3 crops to SOC sequestration</span> <span>in the upper soil depths.</span></p>
In Situ Diversity of Metabolism and Carbon Use Efficiency among Soil Bacteria
<p>Dataset for the MS</p>
Three-dimensional mapping of carbon, nitrogen, and phosphorus in soil microbial biomass and their stoichiometry at the global scale
<p>R code, raw datasets, and predicted global maps of soil microbial biomass C, N, and P and their stoichiometric ratios at 0-30 cm depth.</p> <p>When using any of these layers, please cite: Gao et al., Three-dimensional mapping of carbon, nitrogen, and phosphorus in soil microbial biomass and their stoichiometry at the global scale (2022). Global Change Biology. DOI: 10.1111/gcb.16374</p>
Archive data supporting the results in the paper: Increase in carbon input by enhanced fine root turnover in a long-term warmed forest soil
<p>This is the archive data supporting the results in the paper: Increase in carbon input by enhanced fine root turnover in a long-term warmed forest soil; submitted to the Journal Science of the Total Environment.</p>
Data for "Mineral soils are an important intermediate storage pool of black carbon in boreal forests"
<p>This data is used in the publication "Mineral soils are an important intermediate storage pool of black carbon in boreal forests".</p> <p>The column plot_id uniquely represents each sample plot in the study and matches the columns of the same name in the complementary dataset "<a href="https://doi.org/10.5281/zenodo.5078669">Dataset for 'Climatic Variation Drives Loss and Restructuring of Carbon and Nitrogen in Boreal Forest Wildfire'</a>". Odd numbers are burnt plots, while the burnt plot_id plus 1 is its paired control.</p> <p>Columns are labeled with the name of sampled soil layer and entries are their associated BC:W values. BC:W is unitless (formed by dividing grams black carbon by grams sample weight). Empty spots mean there was no material at the plot to collect.</p>
Plant litter chemistry controls coarse-textured soil carbon dynamics
<p>1. As soils store more carbon (C) than the Earth's atmosphere and terrestrial biomass together, the balance between soil C uptake in the form of soil organic matter and release as CO2 upon its decomposition is a critical determinant in the global C cycle regulating our planet's climate. Although plant litter is the predominant source of C fueling both soil C build-up and losses, the issue of how litter chemistry influences this balance remains unresolved.</p> <p>2. As a contribution to solving that issue, we traced the fate of C during near-complete decomposition of 13C-labelled leaf and root litters from 12 plant species in a coarse-textured soil. We separated the soil organic carbon (SOC) into mineral-associated organic matter (MAOM) and particulate organic matter (POM) pools, and investigated how 14 litter chemical traits affected novel SOC formation and native SOC mineralization (i.e., the priming effect) in these soil fractions.</p> <p>3. We observed an overall net increase in SOC due to the addition of litter, which was stronger for root than for leaf litters. The presumed stable MAOM-C pool underwent both substantial stabilization and mineralization, whereas the presumably less stable POM-C pool showed substantial stabilization and reduced mineralization. Overall, the initial increase in soil C mineralization was fully counterbalanced by a later decrease in native soil C mineralization. POM-C formation as well as MAOM-C formation and mineralization were positively related to the initial litter lignin concentration and negatively to that of the nitrogen leachates, whereas the opposite was observed for POM-C mineralization.</p> <p>4. Synthesis. Our results highlight the importance of litter chemical traits for SOC formation, and stabilization, destabilization, and mineralization. In our coarse-textured soil, the amount of MAOM-C did not change despite large C fluxes through this pool. The litter chemical traits that drove these processes differed from those frequently reported for fine-textured soils far from mineral-associated C saturation. To account for these discrepancies, we propose an integrative perspective in which litter quality and soil texture interactively control soil C fluxes by modulating several SOC stabilization and destabilization mechanisms. Irrespective, our results open new critical perspectives for managing soil C pools globally.</p>
Changing plant species composition and richness benefit soil carbon sequestration under climate warming
<p>Anthropogenic warming and land-use change are expected to accelerate global soil organic carbon (SOC) losses and change plant species composition and richness. However, how changes in plant composition and species richness mediate SOC responses to climate warming and land-use change remains poorly understood. Using data from a 7-year warming and clipping field experiment in an alpine meadow on the Qinghai-Tibetan Plateau, we examined the direct effects of warming and clipping on SOC storage versus their indirect effects mediated by plant functional type and species richness. We found that warming significantly increased SOC storage by 8.1% and clipping decreased it by 6.4%, which was closely correlated with the corresponding response of below-ground net primary productivity (BNPP). We also found a negative correlation between SOC storage and species richness, which was ascribed to the increased BNPP via enhancing the dominance of grasses and decreasing species richness under warming. The lower SOC storage under clipping was caused by the clipping-induced decrease in BNPP via weakening the dominance of grasses and increasing species richness. Our findings highlight that the SOC storage in this alpine meadow under climate warming and clipping was primarily governed by BNPP, which was mediated by changes in the dominance of grasses and species richness. Overall, our study demonstrates that shifting to the dominance of grasses and changing species richness would benefit soil C sequestration under climate warming, but this positive effect would be dampened by grazing or hay harvest.</p>
Effects of land clearing for agriculture on soil organic carbon stocks in drylands: A meta-analysis
<p><span>To improve our understanding of clearing natural ecosystems for cropland on soil organic carbon stocks in drylands, we searched for related peer-reviewed research papers published from 1980 to 2022 on the Web of Science (<a href="https://www.webofscience.com">https://www.webofscience.com</a>) and the Scopus Database (<a href="https://www.scopus.com">https://www.scopus.com</a>) (accessed on 30th April 2022). Then, we screened papers for </span><span>integrity, relevance, and scientific merit under the following criteria: (1) We made sure all studies were independent and based on field-measured data; (2) Each study had to report paired SOC stocks of cropland and adjacent natural ecosystems with the same or a similar suite of environmental factors; (3) Studies need to explicitly present results on SOC stocks or concentrations for certain depths and areas; (4) Studies have specified the types of natural ecosystems that were converted to cropland, which are used as criteria for defining CNEC types. Finally, we winnowed results to a total of 159 scientific journal articles, comprising 242 sites with 1379 paired soil layer observations from 601 paired soil profiles.</span></p>
Recent photosynthates are the primary carbon source for soil microbial respiration in subtropical forests
<p class="Heading-Main"><span>Tropical and subtropical forests represent the largest terrestrial carbon pool. Elucidating the carbon sources for soil microbial respiration (Rm) in tropical and subtropical forests is of fundamental importance to the global carbon cycle in a warming world. Based on hourly measurements, we quantified Rm of <em>in situ </em>forest soil and soil cores from a subtropical forest. We found recent photosynthates, not soil organic carbon (SOC), contributed 88% ± 12% of the carbon source fueling Rm. The control of recent photosynthates on Rm is also supported by the close relationship between Rm and photosynthetically active radiation as well as literature data synthesis results. These results challenge conventional models based on the tenet that Rm is mainly regulated by soil temperature in all forest ecosystems. The results imply that the widely observed warming-induced Rm increases are largely explained by the enhanced input of recent photosynthates in tropical forests, not SOC consumption.</span></p>
Global soil organic carbon in tidal marshes version 1
<p><strong>[Please note: The current version is incorrect as the prediction values are maxed out to 256 due to a data formatting error when preparing the tiles for the Zenodo upload. We apologize for the inconvenience, and are in the process of preparing a new upload of the data.]</strong></p> <p>This dataset is the first version of the predictions, expected model error, and area of applicability of the global soil organic carbon in tidal marshes at a 30 m resolution. All methods are provided in detail in the accompanying <em>Nature Communications</em> paper, <a href="https://doi.org/10.1038/s41467-024-54572-9">Maxwell et al. (2024)</a> Soil carbon in the world's tidal marshes.</p> <p>Tidal marsh extent map</p> <ul> <li><a href="https://doi.org/10.1101/2023.05.26.542433">Worthington et al. (2023)</a> The distribution of global tidal marshes from earth observation data. <em>bioRxiv</em>. </li> </ul> <p>Training data</p> <ul> <li><a href="https://doi.org/10.1038/s41597-023-02633-x">Maxwell et al. (2023)</a> Global dataset of soil organic carbon in tidal marshes. <em>Scientific Data</em>.</li> <li><a href="https://doi.org/10.1111/gcb.17098">Holmquist et al. (2024)</a> The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy. <em>Global Change Biology</em>. </li> <li>Citations for the training data from the above-mentioned syntheses are available <a href="https://github.com/Tania-Maxwell/global-marshC-map/blob/main/reports/02_data_process/data/map_training_data.bib">here</a>.</li> </ul> <p>Model </p> <ul> <li>Code available on <a href="https://github.com/Tania-Maxwell/global-marshC-map/tree/main">Github</a>.</li> <li>3D soil modelling approach: <a href="https://soilmapper.org/">Hengl & MacMillan (2019)</a>. Predictive Soil Mapping with R.</li> <li>Random forest model: <a href="https://doi.org/10.18637/jss.v028.i05">Kuhn (2008)</a>. Building Predictive Models in R Using the caret Package. <em>J. Stat. Softw</em>. </li> <li>k-NNDM spatial cross validation: <a href="https://hannameyer.github.io/CAST/">Meyer, Milà & Ludwig (2022)</a>. CAST: ‘caret’ Applications for Spatial-Temporal Models. </li> <li>Area of applicability: <a href="https://doi.org/10.1038/s41467-022-29838-9">Meyer & Pebesma (2022)</a>. Machine learning-based global maps of ecological variables and the challenge of assessing them. <em>Nature Communications</em>.</li> </ul> <h2>Description of files</h2> <ul> <li>GRID.zip: shapefile with the location of each tile in the zipped folders below </li> <li>Final_predicted_SOC_both_layers.png: final predicted tidal marsh soil organic carbon (SOC) for a) the 0-30 cm soil layer and b) the 30-100 cm soil layer (aggregated per 2° cell). </li> </ul> <p><strong>Area of applicability </strong></p> <ul> <li>aoa0.zip: the area of applicability (AOA) mask for the 0-30 cm layer. Pixels with an AOA value of 0 or 0.5 are considered outside the AOA; with an AOA value of 1 are considered inside the AOA.</li> <li>aoa30.zip: the area of applicability (AOA) mask for the 30-100 cm layer. Pixels with an AOA value of 0 or 0.5 are considered outside the AOA; with an AOA value of 1 are considered inside the AOA.</li> </ul> <p><strong>Final predictions and expected error </strong></p> <ul> <li>pred0_aoa.zip: predicted soil organic carbon for the 0-30 cm layer (Mg C ha-1), masked by the area of applicability.</li> <li>pred30_aoa.zip: predicted soil organic carbon for the 30-100 cm layer (Mg C ha-1), masked by the area of applicability.</li> <li>err0_aoa.zip: expected model error for the 0-30 cm layer (Mg C ha-1), masked by the area of applicability. </li> <li>err30_aoa.zip: expected model error for the 30-100 cm layer (Mg C ha-1), masked by the area of applicability. </li> </ul> <p><strong>Initial predictions and expected error</strong></p> <ul> <li>pred0.zip: predicted soil organic carbon for the 0-30 cm layer (Mg C ha-1).</li> <li>pred30.zip: predicted soil organic carbon for the 30-100 cm layer (Mg C ha-1).</li> <li>err0.zip: expected model error for the 0-30 cm layer for all tidal marsh extent pixels (Mg C ha-1).</li> <li>err30.zip: expected model error for the 30-100 cm layer for all tidal marsh extent pixels (Mg C ha-1).</li> </ul>
ScienceDex guides
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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.