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1,921 results for “fertility”
Percent cover of vegetation measured by the line-intercept method at multiple locations on long-term ecosystem transects (including nitrogen fertilization treatments) at Jornada Basin LTER, 1982-2014
This data package contains data on the average percent cover of plant species on three permanent LTER-I transects at the Chihuahuan Desert Rangeland Research Center (CDRRC) in southern New Mexico. Prior to becoming a livestock exclosure, the study site was moderately to heavily grazed for the past 100 years. The purpose of this study was to document the vegetation changes associated with the addition of nitrogen fertilizer following nearly a century of grazing. Three permanent, parallel transects (2.7 km in length) run from the middle of the College Playa up to the foot of Mt. Summerford. The Treatment transect was treated annually with ammonium nitrate fertilizer (NH4NO3 at 10g N/m2/yr) until 1987. Along each transect, 91 stations, each with a plant intercept line, are spaced at 30 meter intervals. Each plant intercept line is perpendicular to a 2.7 km transect and is 30 meters in length broken into 5 meter segments. The included dataset gives calculated average percent cover of each plant species for each of these plant intercept lines on all three LTER-I permanent transects (91 lines each). Measurements were made biannually from 1982 - 1988. After this, they are measured every 5 years. Data consists of the date, week number, transect, station number, JRN species code, USDA Plants code, species binomial, photosynthetic pathway, habit, form, and average percent cover. This study is ongoing.
Frog abundance in fertilization plots
Population estimates and body sizes of E. coqui were collected on fertilization, litter removal, and control plots. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
N and P fertilization experiment plant phenology data for South of saddle, 1993-1994
The effects of nitrogen, phosphorus, and nitrogen+phosphorus fertilization on phenology of alpine plants was examined. This was a preliminary study to determine if the phenologies of dry meadow plants were affected by nutrient amendments, and if they were, which species responded most to the treatments. Times of emergence, senescence, and other key vegetative and reproductive "events" were recorded.
N fertilization and recovery experiment (2-4-6) plant species composition data for East of Tvan from 1997 to 2017, yearly
The realization that anthropogenic nitrogen (N) deposition is causing significant environmental change in many ecosystems has led to lower emissions of reactive N and deposition rates in many regions. However, the impacts of N deposition on terrestrial ecosystems can be long-lasting, with significant inertia in the return of the biota and biogeochemical processes to baseline levels. To better understand patterns of recovery and the factors that may contribute to slow or no responses following declines in N deposition, we followed plant species composition, microbial abundance, N cycling rates, soil pH, and pools of NO3- and extractable cations in an impacted alpine ecosystem following cessation of 12-year experiment increasing N deposition rates by 0, 20, 40, and 60 kg N/ha/yr. Simulated N deposition had resulted in a tripling in the cover of the nitrophilic species Carex rupestris, while the dominant sedge Kobresia myosuroides had decreased by more than half at the highest N input level. In addition nitrification rates were elevated, soil extractable magnesium (Mg2+) and pH decreased, and aluminum (Al3+) and manganese (Mn2+) were elevated at the highest N treatment inputs. Over the nine years following cessation of N additions to the impacted plots only the cover of the nitrophilic C. rupestris showed any recovery to prior levels. Abundances of both bacteria and fungi were lower with N addition in both treatment and recovery plots. Rates of nitrification and pools of NO3- remained elevated in the recovery plots, likely contributing to the lack of biotic response to the cessation of N inputs. In addition, nutrient base cations (Ca2+ and Mg2+) and soil pH remained depressed, and the toxic metal cations (Al3+ and Mn2+) remained elevated in recovery plots, also potentially influencing biotic recovery. These results emphasize the importance of considering long-term environmental impacts of N deposition associated with legacy effects, such as elevated N cycling and losse
Aboveground biomass at control and fertilized plots in a Spartina alterniflora-dominated marsh, Rowley River, Plum Island Ecosystem LTER, MA.
Aboveground biomass is determined non-destructively during the growing season at a Spartina alterniflora-dominated salt marsh on the Rowley River within the Plum Island Ecosystems (PIE) LTER site.
Nassarius obsoletus (Ilyanassa obsoleta) density measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA.
Nassarius obsoletus (Ilyanassa obsoletus) length and biomass measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA. The TIDE project aims to simulate eutrophication on a large scale by the addition of NO3- aiming to reach 70μM concentrations from May to September every year during the growing season. This fertilization of the marsh has been going on at Sweeney Creek since the 2004 growing season through 2016 and at Clubhead Creek in 2005 and from 2009 till 2016.
Nassarius obsoletus (Ilyanassa obsoleta) length and biomass measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA.
Nassarius obsoletus (Ilyanassa obsoleta) length and biomass measurements for Rowley River tidal creeks associated with long term fertilization experiments, Rowley and Ipswich, MA. The TIDE project aims to simulate eutrophication on a large scale by the addition of NO3- aiming to reach 70μM concentrations from May to September every year during the growing season. This fertilization of the marsh has been going on at Sweeney Creek since the 2004 growing season through 2014 and at Clubhead Creek in 2005 and from 2009 till 2014.
Mummichog (Fundulus heteroclitus) counts and gut content analysis from lift trap transect collections along Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.
The lift traps were used to capture mummichogs accessing the high marsh platform. Mummichogs were collected to study the effect of marsh-edge geomorphology on mummichog distribution and foraging. The TIDE project aims to simulate eutrophication on a large scale by the addition of NO3- aiming to reach 70μM concentrations from May to September every year during the growing season. This fertilization of the marsh has been going on at Sweeney Creek since the 2004 growing season through 2016 and at Clubhead Creek in 2005 and from 2009 till 2016. Years 2017-2020 are enrichment recovery years.
Mummichog (Fundulus heteroclitus) gut content analysis from Breder trap transect collections in tidal creeks associated with long term fertilization experiments, Rowley, MA.
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and eat invertebrate prey, coupling the high marsh and aquatic creek food webs by gathering energy produced on the high marsh and making it available to the aquatic food web. Changes in the geomorphology of saltmarsh creek edges greatly influence the survival, biomass, and resource use of mummichog populations. Here we use gut content analysis assess the diet of mummichog on the high marsh platform during a flooding spring-cycle tide in July 2018 across 3 PIE creeks known to present different geomorphologic patterns in their low marsh zones. These data allow us to quantify the amount of terrestrial invertebrate prey mummichog consume on a single flooding tide and determine the impact altered low marsh geomorphology has on the trophic relationships in PIE food webs. These mummichog were captured in Breder traps; information about the consumer communities captured in these traps was recorded separately (LTE-TIDE-BrederTrap-Demographics). These data were included in part of the study “Habitat decoupling via saltmarsh creek geomorphology alters connection between spatially-coupled food webs” (Lesser et al. 2020) and were a portion of an MBL REU project.
Demographics of high marsh consumers from Breder trap transect collections in tidal creeks associated with long term fertilization experiments, Rowley, MA
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and eat invertebrate prey, coupling the high marsh and aquatic creek food webs by gathering energy produced on the high marsh and making it available to the aquatic food web. Changes in the geomorphology of saltmarsh creek edges greatly influence the survival, biomass, and resource use of mummichog populations. Here, we capture animals using Breder traps to quantify the communities accessing the high marsh at night during one of these high tides in July 2018 across 3 PIE creeks known to present different geomorphologic patterns in their low marsh zones. These data can be used for the assessment of the impact of low marsh geomorphology on consumer communities in PIE marshes. Mummichog captured in these Breder traps were further analyzed for gut content (LTE-TIDE-BrederTrap-GutContents). These data were included in part of the study “Habitat decoupling via saltmarsh creek geomorphology alters connection between spatially-coupled food webs” (Lesser et al. 2020) and were a portion of an MBL REU project.
Mummichog (Fundulus heteroclitus) caloric value analysis from various collections along Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and eat invertebrate prey, coupling the high marsh and aquatic creek food webs by gathering energy produced on the high marsh and making it available to the aquatic food web. Changes in the geomorphology of saltmarsh creek edges greatly influence the survival, biomass, and resource use of mummichog populations. Here, we use bomb calorimetry to assess individual mummichog caloric content per gram of biomass at 4 PIE creeks known to present different geomorphologic patterns in their low marsh zones. These data can be used for the assessment of the impact of low marsh geomorphology on mummichog caloric content and energy production in PIE food webs. These data were included as part of two studies “Habitat decoupling via saltmarsh creek geomorphology alters connection between spatially-coupled food webs” (Lesser et al. 2020) and “Cross-habitat access modifies the ‘trophic relay’ in New England saltmarsh ecosystems” (Lesser et al. 2021).
Invert species counts and density along transects on the high marsh along Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.
At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and consume invertebrate prey. Invertebrate surveys were conducted before and after spring tides that flooded the high marsh area to determine the effect of mummichog predation that occurs on the high marsh during the flood events and to assess the impact of low marsh geomorphology on top-down control by mummichog. These data were included in part of the study "Cross-habitat access modifies the ‘trophic relay’ in New England saltmarsh ecosystems” (Lesser et al. 2021) as well as a part of a NEU Three Seas Master's thesis.
Stable isotope values for organisms collected in the Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.
To assess differences in trophic relationships and enerygy transfer related to long term fertilization of tidal creeks (TIDE Project: https://thetideproject.org/), organisms including primary producers, invertebrates, and fish were sampled and analyzed for stable isotopes of nitrogen (δ14N) , carbon (δ13C), and sulfur (δ34S). Collections were made during summers from 2000-2018 from reference and nutrient-enriched branches of 4 tidal creeks.
Data from: Competition among eggs shifts to cooperation along a sperm supply gradient in an external fertilizer
Purple sea urchin, Strongylocentrotus purpuratus, are broadcast spawners. Empirical and theoretical exploration of this trade-off in broadcast spawners has focused heavily on the role of sperm availability. In contrast, the particular manner in which egg concentrations alter both fertilization and polyspermy remains less explored. These data are from a laboratory experiment with a factorial design (six sperm concentrations x four egg concentrations replicated across multiple male-female pairs), to measure fertilization and polyspermy of purple sea urchins. Data were used to evaluate the impact of egg concentration on fertilization, and to explicitly test for random versus nonlinear sperm-egg collision rates. A new dynamic model was developed that expands upon existing models. Observations of fertilization and polyspermy were also used to parameterize and compare the performance of existing models that included random or or nonlinear collision parameters by utilizing several different basic model forms. For more information, see paper with published results or data set methods. Results for these data are pulished in Okamoto. D. K. 2016 Competition among eggs shifts to cooperation along a sperm supply gradient in an external fertilizer. The American Naturalist. 187:5, E129-E142. DOI: 10.1086/685813
CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia: Dataset
<p>This repository is linked to the paper "CO2 fertilization, transpiration deficit and vegetation period drive the response of mixed broadleaved forests to a changing climate in Wallonia" submitted to Annals of Forest Science and written by Louis DE WERGIFOSSE (corresponding author), Frédéric ANDRE, Hugues GOOSSE, Steven CALUWAERTS, Lesley DE CRUZ, Rozemien DE TROCH, Bert VAN SCHAEYBROECK and Mathieu JONARD.</p> <p>The files stored in the repository are the input files that should be used in the model HETEROFOR to retrieve the results displayed in the study and the corresponding results themselves. The source code of the model HETEROFOR can be freely accessed and downloaded (https://doi.org/10.5281/zenodo.3591348). Additional information on the model can be found in the following description papers: Jonard et al., 2020 (https://doi.org/10.5194/gmd-13-905-2020) and de Wergifosse et al., 2020 (https://doi.org/10.5194/gmd-13-1459-2020).</p> <p>The repository contains three directories. The first (HETEROFOR_input_files) comprises the additional files to those in the model repository presented in the previous paragraph needed to run the model for the purpose of this study. The second directory (Simulation_outputs_raw) contains the data directly provided by the model without any processing. The third directory (Simulation_outputs_raw) includes the model outputs after processing.</p> <p>The directory "HETEROFOR_input_files" is constituted of two directories called "Climate_files" and "Stand_files". "Climate_files" is subdivided in three sub-directories. Sub-directory "Original_downscaled_CORDEX_timeseries" contains the climate projections of the four sites and scenarios described in the study. These downscaled timeseries have been produced by the Royal Meteorological Institute of Belgium under the program CORDEX.be, which is part of EURO-CORDEX. A bias correction has been further applied to these climate timeseries that are stored in the "Bias_corrected_timeseries" sub-directory. The files of these two sub-directories should be used in HETEROFOR as "Meteorological data" input files. The "CO2_concentrations" sub-directory includes the yearly averaged projected concentrations for the three RCP scenarios described in the paper. In HETEROFOR, they should be put as input in the "Atmospheric CO2 concentration" part after selecting the option "Variable over time". The second directory called "Stand files" contain the six inventory files described in the study for which a thinning has been applied. They should be used in HETEROFOR as "Inventory data" input files.</p> <p>The directory "Simulation_outputs_raw" is divided similarly to the study into two simulation experiments. The "First simulation experiment" directory is further subdivided into constant and time-dependent CO2 concentrations like in the study and contains one file for the regular modality and one for the thinning modality. All the files are constructed the same way with, for each tree and site (or stand, soil and climate), annual values of Net Primary Production (NPP) in kg of carbon, transpiration and potential transpiration in L under the different climate scenarios. In addition, the "Phenology" directory contains, for each day and under all climate scenarios, the green proportion (proportion of green leaves comprised between 0 and 1) for the two tree species considered in the study (Common oak and European beech).</p> <p>Finally, the directory "Simulation_outputs_processed" is constructed similarly to "Simulation_outputs_raw" but all the data are integrated in one file at the yearly time step. However, the units change with the NPP expressed in gC/m2 and transpiration and potential transpiration in mm (or L/m2) while the vegetation period is averaged according to the percentage of species occurrence<br> in the different stands.</p> <p><br> For more information concerning this repository or the study, please do not hesitate to contact Louis DE WERGIFOSSE (louis.dewergifosse@uclouvain.be) or Mathieu JONARD (mathieu.jonard@uclouvain.be).</p>
Projected Global Fertilizers Consumption Datasets during 2020-2100 under SSP scenarios
<h1><strong>1. Background</strong></h1> <p>Accurate projections of future global fertilizer consumption are critical for advancing research in earth system modeling, agricultural sustainability, and fertilizer industry planning. However, existing datasets often lack long-term temporal coverage and high spatial resolution. To address this gap, we present the <strong>Projected Global Fertilizers Consumption Datasets (PGFCD)</strong>, which provide spatially explicit estimates of nitrogen (N), phosphorus (P), and potassium (K) fertilizer consumption from 2020 to 2100 under three Shared Socioeconomic Pathway (SSP) scenarios: <strong>SSP1</strong> (sustainable development), <strong>SSP2</strong> (intermediate development), and <strong>SSP3</strong> (regional rivalry), <strong>SSP4</strong> (unequal development), and <strong>SSP5</strong> (fossil-fueled development).</p> <p> </p> <h1><strong>2. Methodology</strong></h1> <h2><strong>2.1 Ensemble Machine Learning (EML) Framework</strong></h2> <ul> <li><strong>Algorithms</strong>: Integrated six machine learning models: <ul> <li>Multiple Linear Regression (MLR)</li> <li>Decision Trees (DT)</li> <li>Autoregressive Integrated Moving Average (ARIMA)</li> <li>Multi-Layer Perceptron (MLP)</li> <li>Radial Basis Function (RBF)</li> <li>Random Forests (RF)</li> </ul> </li> <li><strong>Training Data</strong>: Historical national/regional fertilizer consumption (FAOSTAT, 1961–2015).</li> <li><strong>Validation Metrics</strong>: <ul> <li>Nash-Sutcliffe Efficiency (NSE): <strong>0.93</strong></li> <li>Kling-Gupta Efficiency (KGE): <strong>0.89</strong></li> <li>Mean Absolute Percentage Error (MAPE): <strong>10.97%</strong></li> </ul> </li> </ul> <h2><strong>2.2 Spatial Downscaling</strong></h2> <ul> <li><strong>Baseline</strong>: FAO 2000 fertilizer data combined with gridded nutrient application maps for major crops in 2000.</li> <li><strong>Dynamic Projection</strong>: Annual change rates applied to 5′ × 5′ grids under SSP-specific socioeconomic drivers.</li> </ul> <p> </p> <h1><strong>3. Dataset Overview</strong></h1> <h2><strong>3.1 Key Features</strong></h2> <ul> <li><strong>Temporal Coverage</strong>: 2020–2100 (10-year intervals).</li> <li><strong>Spatial Resolution</strong>: 5-arcminute (≈10 km at the equator).</li> <li><strong>Scenarios</strong>: SSP1, SSP2, SSP3, SSP4, SSP5. </li> <li><strong>Variables</strong>: N, P, and K fertilizer consumption (tonnes/year).</li> </ul> <h2><strong>3.2 Dataset Structure</strong></h2> <p>The dataset is provided as a compressed archive (PGFCD_Ver6.0.rar), containing:</p> <p><strong>1. Fertilization_Consumption_GeoTiff</strong><strong>/</strong></p> <ul> <li><strong>Subfolders</strong>: <ul> <li>N_fer/: Nitrogen fertilizer projections</li> <li>P_fer/: Phosphorus fertilizer projections</li> <li>K_fer/: Potassium fertilizer projections</li> </ul> </li> <li><strong>File Format</strong>: GeoTIFF (135 files total). <ul> <li><strong>Naming Convention</strong>:<br>[FertilizerType]_fer_con_[SSP]_[Year].tif <ul> <li>Example: K_fer_con_SSP1_2020.tif</li> </ul> </li> </ul> </li> </ul> <p><strong>2. Country_region_based/</strong></p> <ul> <li><strong>Shapefiles</strong>: National/regional fertilizer consumption for 26 prediction units (2020–2100).</li> <li><strong>Excel File</strong>: Global Fertilizer Consumption (2020-2100).xlsx.</li> </ul> <p><strong>3. Technical Annex.docx</strong></p> <ul> <li>Detailed methodology, validation, and workflow documentation.</li> </ul> <p> </p> <h1><strong>4. Applications</strong></h1> <p>This dataset supports:</p> <ul> <li><strong>Earth System Modeling</strong>: Improved parameterization of fertilization impacts on biogeochemical cycles.</li> <li><strong>Agricultural Policy</strong>: Scenario-based planning for sustainable fertilizer use.</li> <li><strong>Industry Strategy</strong>: Long-term market analysis under diverse socioeconomic pathways.</li> </ul> <p> </p> <h1><strong>Note:</strong></h1> <p>Global aggregated totals of fertilizer consumption derived from the 26 prediction units (country/regional scale) may exhibit minor discrepancies compared to sums calculated from the 5-arcminute gridded data (≈10 km resolution). Such differences stem from variations in spatial aggregation methods, file formats (vector vs. raster), and underlying data processing frameworks. Users may select the dataset best aligned with their analytical objectives:</p> <ul> <li>The <strong>country/region-based data (26 units)</strong> is recommended for national-scale analyses or policy evaluations requiring administrative boundaries.</li> <li>The <strong>5-arcminute gridded data</strong> is preferable for spatially explicit modeling or subnational assessments.</li> </ul> <p>Both datasets maintain equivalent quality and methodological rigor; the choice depends on the desired spatial granularity and application context.</p> <p>We are profoundly indebted to <strong>Dr. Andreas Gericke</strong> at Section II 2.3 Protection of the Seas and Polar Regions, German Environment Agency, and <strong>Dr. Veronika Schlosser</strong> at Chair of Sustainability Assessment of Food and Agricultural Systems, Technical University of Munich for their diligent review and insightful feedback on the previously submitted data. Their expertise has enabled us to thoroughly correct the identified inaccuracies, strengthening the integrity of our research.</p> <p>We hold <strong>Dr. Andreas Gericke</strong> and <strong>Dr. Veronika Schlosser</strong> in the highest esteem and sincerely apologize for any oversights that may have marred our work.</p>
Thirty-eight years of CO 2 fertilization have outpaced growing aridity to drive greening of Australian woody ecosystems
<p>Data and code for "Thirty-eight years of CO 2 fertilization have outpaced growing aridity to drive greening of Australian woody ecosystems"</p>
Dataset underlying the publication: "Organic contaminants in bio-based fertilizer treated soil: Target and suspect screening approaches" DOI: 10.1016/j.chemosphere.2023.139261
<p>Dataset underlying the publication "Organic contaminants in bio-based fertilizer treated soil: Target and suspect screening approaches" DOI: 10.1016/j.chemosphere.2023.139261.</p>
CEDAR-GPP: A Spatiotemporally Upscaled Dataset of Gross Primary Productivity Incorporating CO2 Fertilization
<p>Overview:<br>----------<br>CEDAR-GPP is a global Gross Primary Productivity (GPP) data product, including monthly GPP estimates at 0.05º spatial resolution. These datasets were generated via upscaling eddy covariance measurements with machine learning and satellite data. CEDAR-GPP uniquely incorporated the direct CO2 fertilization effect (CFE) using both data-driven and theoretical approaches. GPP estimates were produced from ten different model setups that vary by temporal span, direct CFE incorporation method, and GPP partitioning approaches. CEDAR stands for ups<strong>C</strong>aling <strong>E</strong>cosystem <strong>D</strong>ynamics with <strong>AR</strong>tificial intelligence.</p> <p>CEDAR-GPP consists of GPP estimates from ten model setups, differing by temporal range, methods for quantifying CO2 fertilization effects, and the partitioning methods used to derive GPP from eddy covariance measurements. Users are encouraged to refer to the user manual for a structured approach to selecting the most appropriate dataset.</p> <p> </p> <p>Authors:<br>----------<br>Yanghui Kang, Maoya Bassiouni, Max Gaber, Xinchen Lu, Trevor Keenan</p> <p> </p> <p>File Structure:<br>----------<br>Each zip file contains GPP data from a CEDAR model setup.</p> <p> </p> <p>File Naming Convention:<br>----------<br>All netCDF files follow this naming convention:<br>CEDAR-GPP_<version>_<model-setup>_<YYYYMM>.nc</p> <p>Where:<br><model-setup> comprises of <temporal_span>_<CFE_option>_<GPP_partitioning><br><temporal_span>: ST denotes short-term (2001 to 2020); LT denotes long-term (1982 to 2020)<br><CFE_option>: 'Baseline' indicates no direct CO2 fertilization effect, 'CFE-ML' represents direct CO2 fertilization incorporated by ML, 'CFE-Hybrid' implies direct CO2 fertilization incorporated by theory<br><GPP_partitioning>: 'NT' for night-time GPP partitioning method, 'DT' for day-time GPP partitioning method</p> <p><br>NetCDF characteristics:<br>----------<br>- Spatial Resolution: 0.05 degree<br>- Temporal Resolution: Monthly<br>- Temporal Coverage: Short-term (ST): 2001-2020; Long-term (LT): 1982 - 2020<br>- Image Dimension: Rows: 3600, Columns: 7200<br>- Units: gCm^-2day^-1<br>- Fill Value: -9999<br>- Multiply By Scale Factor: 0.01<br>- Data Type: uint16<br>- File Size: Approximately 99 MB per file</p> <p><br>Data variables:<br>----------<br>- GPP_mean: monthly gross primary productivity (gCm^-2day^-1), mean from 30 model ensemble<br>- GPP_std: standard deviation of 30 model ensemble</p> <p><br>Support Contact:<br>----------<br>For any queries related to this dataset, please contact:</p> <p>Name: Yanghui Kang<br>Email: kangyanghui@gmail.com</p> <p> </p> <p> </p>
Supplementary data for: Exergy assessment of topsoil fertility
<p>The document includes diferent tables that provides detailed information about minerals and its aboundance.</p> <p><em><span>Table C.1. Chemical exergy and the abundance in mass percentage of the more abundant and essential primary silicate minerals in soils</span></em></p> <p><em><span>Table C.2. Chemical exergy and the abundance in mass percentage of the more abundant and essential secondary silicate minerals in soils.<span> </span></span></em></p> <p><em><span><span>Table C.3. Chemical exergy and the abundance in mass percentage of the more abundant and essential other secondary silicate minerals in soils. </span></span></em></p> <p><em><span>Table C.4. Chemical exergy and abundance in mass percentage of quartz.</span></em></p>
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.