AndreaBozzo/ceres-open-data-index huggingface dataset:
Nutrient replacement for corn growing with or without weeds 2022-2023

<p>This is growth and development data (primarily fresh and dry weight of corn, soil and plant nutrient levels, and photos) for corn growing with or without weeds that were supplemented with different levels of fertilizers. </p>
<p>Resources in this dataset:</p>
<ul>
<li>Resource Title: Fresh and dry weight of corn growing with or without weeds at different fertilization level
File Name: Copy of FertilizerStudyFreshWeights.xlsx
Resource Description: This is the raw and analyzed data on the weight of corn growing with or without weeds (2 canola plants as the weeds) which were watered daily with varying volumes of fertilizer (20:20:20). There were six plants per treatment and the experiment was a complete randomized block design.</li>
</ul>

Tags: ars, corn-growth-and-development, crop-nutrient-uptake, crop-weed-interactions, data-gov, np304
Organization: Department of Agriculture
Long-Term Agricultural Research (LTAR) network - Meteorological Station - Hawbecker - Upper Chesapeake Bay

<p>The USDA-ARS Pasture Systems and Watershed Management Research Unit established a meteorological station in 2015 as part of the Upper Chesapeake Bay (UCB) site in the Long-Term Agroecosystem Research (LTAR) network (est. 2012). Measurements include air temperature and humidity, shortwave (solar) irradiance, longwave (thermal) radiation, wind speed and direction, barometric pressure, and rainfall. Data are recorded at 15-minute intervals.</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog record.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/387f5875-fdcc-49a4-80db-d2c4538df41b" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/387f5875-fdcc-49a4-80db-d2c4538df41b</a> </p></li></ul>

Tags: air-pressure, air-temperature, ars, climate, data-gov, longwave-radiation, meteorological-data, np211, shortwave-radiation, weather, wind-speed
Organization: Department of Agriculture
On-Farm Residue Removal Study for Resilient Economic Agricultural Practices in Morris, Minnesota

<p>On-Farm Residue Removal Study for Resilient Economic Agricultural Practices in Morris, Minnesota
Interest in harvesting crop residues for energy has waxed and waned since the oil embargo of 1973.  Since the at least the late 1990’s interest has been renewed due to concern of peak oil, highly volatile natural gas prices, replacing fossil fuel with renewable sources and a push for energy independence.  The studies conducted on harvesting crop residues during the 1970’s and1980’s focused primarily on erosion risk and nutrient removal as a result early estimates of residue availability focused on erosion control (Perlack et al., 2005).  More recently, the focus has expanded to also address harvest impacts on soil organic matter and other constraints (Wilhelm et al., 2007; Wilhelm et al., 2010).  In West Central Minnesota, crop residues have been proposed a replacement for natural gas (Archer and Johnson, 2012) while nationally residues are also be considered for cellulosic ethanol production (US DOE, 2011).  The objective of the on-farm study was to assess the impact of residue harvest on working farms with different management systems and soils.  Indicators of erosion risk, soil organic matter, and crop productivity is response to grain plus cob, or grain plus stover compared to grain only harvest.</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog record.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/fe5f312c-e9ad-4485-b5f9-7897f5bcd9f6" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/fe5f312c-e9ad-4485-b5f9-7897f5bcd9f6</a> </p></li></ul>

Tags: ars, bioethanol, bulk-density, combustion, corn, corn-stover, crop-rotation, data-gov, ears, energy, environment, erosion-control, ethanol-production, farming, farms, harvest-index, head, leaves, management-systems, manual-harvesting, minnesota, morris-mn-onfm, natural-gas, natural-resources-and-genomics, np211, np212, nutrients, oils, particulate-organic-matter, phosphorus, prices, reap, risk, soil, soil-organic-matter, soil-sampling, soybeans, straw, united-states-environmental-protection-agency, vegetation-cover, wet-digestion-method
Organization: Department of Agriculture
Crop response and changes in soil properties as affected by soil erosion, topsoil replacement, and application of anaerobically digested dairy manure solids in a Mollisol landform

<p dir="ltr">These data provide field measurements of plant and soil at a geographical site as affected by (a) tillage and water erosion (b) replacement of translocated topsoil through soil-landscape rehabilitation, and (c) amending soil with solids from anaerobically digested dairy manure. The study site located in Stevens County, Minnesota was a heavily eroded landform due to long term tillage and other environmental factors. The study was initiated in 2006 and continued to 2016 in two phases. In Phase-1, which was concluded in 2011, replacement of translocated topsoil on crop productivity and soil properties were evaluated. Phase-1 data associated with pre-restoration soil properties, digital elevation model, tillage and water erosion estimates, annual assessments of crop emergence, crop biomass, grain yield and quality, soil biological, chemical, and physical properties, weed communities, and weather information has been published in Ag Data Commons (https://doi.org/10.15482/USDA.ADC/25206968.v1). Phase-2 was conducted in 2011-2016. At the beginning of Phase-2, 40 mega gram per hectare of anaerobically digested dairy manure solids were applied to eroded plots and plots that had soil added in Phase-1. These treatments allowed comparisons of plots with eroded soil, topsoil added in 2005, manure solids added in 2011, and soil (2005) plus manure solids (2011) added. Data reported in Phase-2 include crop stand, biomass, grain yield and quality, soil chemical properties, and weather information. The data can be used to develop agronomic best management practices to improve crop production and to protect soil health. The data also could contribute to meta-analyses describing effects of erosion, soil-landscape rehabilitation, and amending soil with digested dairy manure solids on crop performance and changes in soil properties.</p>

Tags: corn, crop-production, crop-productivity, digested-solids-from-anaerobic-digestion-of-dairy-manure, landscape-restoration, manure-solids, plant-nutrient, soil-amendment, soil-carbon, soil-erosion, soil-health, soil-landscape-rehabilitation, soil-profile, soil-restoration, soybean, spatial-variation, tillage-erosion, water-erosion
Organization: Department of Agriculture
Data from: Experimental evidence that poor soil phosphorus (P) solubility typical of drylands due to calcium co-precipitation favors autonomous plant P acquisition over collaboration with mycorrhizal fungi

<p dir="ltr">Dataset that accompanies a research paper entitled, "Experimental evidence that poor soil phosphorus (P) solubility typical of drylands due to calcium co-precipitation favors autonomous plant P acquisition over collaboration with mycorrhizal fungi" published in Soil Biology and Biochemistry September 28, 2024. Files include a readme file, bioassay datasets, and the respective R script for analyzing the individual data files.</p><p dir="ltr">Results are relevant to arid and semiarid mixed-grass prairie ecosystems with calcareous and alkaline subsoils, especially sites with soils of Eapa loam soil series, frigid Aridic Argiustolls or Mollisols. The focal system was of northern mixed-grass prairie vegetation near Miles City, Montana which is in eastern Montana, USA (soil collection area: 46.304583, -105.978050, elevation 849 m). The study consisted of two pot experiments including: 1) calcium carbonate addition and incubation experiment and 2) calcium carbonate addition and arbuscular mycorrhizal inoculant experiment. The experiments were designed to improve understanding effects of calcium carbonate on soil pH and available phosphorus (via. co-precipitation of calcium and phosphorus) in the absence of plants and mycorrhizal fungi (#1). The other experiment utilized eight plant species, calcium carbonate additions, and mycorrhizal inoculant to discern modes of phosphorus acquisition by plants (i.e. root P mining versus mycorrhizal collaboration; #2) over a soluble phosphorus gradient. Pot experiments utilized completely randomized designs. #1 was a single factor experiment with four calcium carbonate addition levels. #2 was a three factor experiment with eight plant species, four calcium carbonate levels, and a mycorrhizal inoculant treatment. Data include soil pH, soil nutrients, shoot phosphorus, shoot manganese, mycorrhizal responsiveness (i.e. Cohen's D), total plant biomass, shoot biomass, and root mass ratio.</p><p dir="ltr">Additional details can be found in the readme file, manuscript, and manuscript's supplement.</p>

Tags: biogeochemistry, calcareous-soil-conditions, dryland, grassland, grazingland, mixed-grass-prairie, montana, optimal-allocation-theory, phosphorus-availability-in-soil, phosphorus-cycle, phosphorus-cycles, phosphorus-limitation, plant-nutrient-limitation, prairie
Organization: Department of Agriculture
Data from: Legacy effects of alfalfa monocultures or annual crop/alfalfa mixtures on subsequent corn yield and quality

<p dir="ltr">Interseeding annual crops into existing alfalfa (<i>Medicago sativa</i> L.) stands is gaining interest, and one reason may be that alfalfa lowers nitrogen requirements for subsequent crops. However, little is known about the legacy impact of this practice on subsequent corn (<i>Zea mays</i> L.) production. An experiment involving interseeding annual cool‐season crops into alfalfa was conducted between 2017 and 2021, which serendipitously allowed us to evaluate the legacy impact of this practice on subsequent corn grain production. This follow‐up study compared corn grain yield and quality of corn planted subsequently on positive control plots (alfalfa monoculture), negative control plots (annual crop monoculture), and experimental treatment polyculture plots (annual crops planted into alfalfa). We found that corn yield was lower following annual monocultures compared to corn following alfalfa monoculture and polyculture plots. The treatments did not have a significant effect on grain protein or starch percentage, but grain oil percentage was higher following polyculture compared to annual monoculture. Corn grain zinc concentration was positively associated with previous alfalfa density and corn ear leaf chlorophyll concentration. These findings indicate that alfalfa monoculture and alfalfa‐annual crop polycultures can have different positive legacy effects on corn yield, near‐surface soil attributes, and grain quality. Future research aimed at evaluating the legacy of crop/alfalfa mixtures on subsequent corn crops in the northern Great Plains in multiple locations over several years are needed.</p><p><br></p>

Tags: alfalfa, corn, grain-quality
Organization: Department of Agriculture
APLE : Annual Phosphorus Loss Estimator Tool

<p>APLE is a Microsoft Excel spreadsheet model that runs on an annual time-step and estimates field-scale, sediment bound and dissolved P loss (kg ha−1) in surface runoff for agricultural field. APLE is intended to  quantify P loss through  process-based equations.  It has been tested for its ability to reliably predict P loss in runoff for systems with machine-applied manure and for soil P cycling using data from a wide variety of agricultural fields and regions. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Annual P Loss Estimator (APLE).</p> <p>File Name: APLE 2.5.2.xlsx</p><p>Resource Description: APLE is a fairly simple, user-friendly, Microsoft Excel spreadsheet model that runs on an annual time-step and estimates field-scale, sediment bound and dissolved P loss (kg ha−1) in surface runoff for agricultural field. To download the spreadsheet, fill out the form at <a href="https://www.ars.usda.gov/research/software/download/?softwareid=304">https://www.ars.usda.gov/research/software/download/?softwareid=304</a> </p></li><br><li><p>Resource Title: Annual Phosphorus Loss Estimator User’s Manual Version 2.4.</p> <p>File Name: APLEUsersManual24.pdf</p></li></ul><p></p>

Tags: ars, data-gov, manure, phosphorus-availability, phosphorus-cycling
Organization: Department of Agriculture
P-TRAP Phosphorus Transport Reduction App

<p>The P-TRAP software allows a user to design different types of phosphorus removal structures based on site conditions, phosphorus absorbing material characteristics and structure parameters. The P-TRAP software allows users to explore different designs to meet performance goals for P removal amounts and material lifetime. A database of P absorbing material characteristics is included based on previous laboratory experiments. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Website Pointer to P-TRAP Phosphorus Transport Reduction App .</p> <p>File Name: Web Page, url: <a href="https://fargo.nserl.purdue.edu/p-trap/">https://fargo.nserl.purdue.edu/p-trap/</a> </p><p>The P-Trap ("Phosphorus Transport Reduction") software streamlines the process by asking the user to enter four basic categories of information, starting with a drop-down menu offering different design options. The program then calculates specifications for building the structure based on data the user entered, including expected water-flow rates, annual volume, dissolved phosphorus concentration in water, drainage ditch depth and slope, pipe diameter and desired phosphorus removal rate.</p></li></ul><p></p>

Tags: ars, data-gov, np211, online-database, p-trap, phosphorus-transport-reduction-app
Organization: Department of Agriculture
LTAR Upper Mississippi River Basin - St. Paul - Conventional Cropping System Phenocam

<p>A stationary camera used to track vegetation phenology overlooking a row crop field that is in a conventional cropping system (corn/soybean rotation). This site is located at the Rosemount Research and Outreach Center in Rosemount, Minnesota. Images are taken every 30 minutes.

A link to the Phenocam's network FAQ: https://phenocam.sr.unh.edu/webcam/faq</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog record.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/8e42c940-3fa7-4eca-a3e2-81620ff9b995" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/8e42c940-3fa7-4eca-a3e2-81620ff9b995</a> </p></li></ul>

Tags: ars, biota, corn, data-gov, earth-science-agriculture-agricultural-plant-science, earth-science-biosphere-vegetation, earth-science-biosphere-vegetation-chlorophyll, earth-science-biosphere-vegetation-leaf-characteristics, earth-science-biosphere-vegetation-plant-phenology, environment, farming, in-situ-laboratory-instruments-photon-optical-detectors-cameras-camera, np211, plants-crops-crop-production, plants-crops-plant-health, soybeans
Organization: Department of Agriculture
Long-Term Agricultural Research (LTAR) network - Phenocam - Hawbecker - Upper Chesapeake Bay

<p>A stationary camera overlooking the Hawbecker farm in the Spring Creek watershed in Centre County, Pennsylvania, used to track vegetation phenology (RGB and IR imagery).  Images are taken every 30 minutes between 4:00am and 10:30pm local standard time. A link to the Phenocam's network FAQ: https://phenocam.sr.unh.edu/webcam/faq</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog record.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/a1d3e1c7-3d17-49e9-bb46-2e4ec84b71a7" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/a1d3e1c7-3d17-49e9-bb46-2e4ec84b71a7</a> </p><p>Information and analysis provided by the PhenoCam network</p></li></ul>

Tags: ars, corn, cover-crops, data-gov, earth-science-agriculture-agricultural-plant-science, earth-science-biosphere-vegetation, earth-science-biosphere-vegetation-chlorophyll, earth-science-biosphere-vegetation-leaf-characteristics, earth-science-biosphere-vegetation-plant-phenology, np211, soybeans
Organization: Department of Agriculture
CSR1 Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Watkinsville, Georgia

<p>CSR1 Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Watkinsville, Georgia
</p> <div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Watkinsville, GA CSR1 Study (GAJPCSR1) CSV data.</p> <p>File Name: GAJPCSR1_csv_data.zip</p><p>Resource Description: CSV format data on Experimental Units, Field Sites, Grazing Plants, Soil Biology, Soil Chemistry, Soil Physics, Amendments, Grazing, Persons, Treatments, Weather Daily, Weather Station.</p></li></ul>

Tags: ars, data-gov, environment, farming, grazing, np211, np212, soil-biology, soil-chemistry
Organization: Department of Agriculture
PAHAW Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in University Park, Pennsylvania

<p>PAHAW Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in University Park, Pennsylvania</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: GeoData catalog record.</p> <p>File Name: Web Page, url: <a href="https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/dc740db3-833e-4570-a296-b5bed2e9d623" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/dc740db3-833e-4570-a296-b5bed2e9d623</a> </p></li></ul>

Tags: ars, data-gov, environment, farming, greenhouse-gases, np211, np212
Organization: Department of Agriculture
PhenoCam images from JERBAJADA site, Jornada Experimental Range, New Mexico, USA since 2014

<p>This data set consists of repeat digital imagery from the tower-mounted digital cameras (hereafter, PhenoCams) at the Jornada Experimental Range. JER is a member of the PhenoCam network, which has as its mission to serve as a long-term, continental-scale, phenological observatory. Imagery is uploaded to the PhenoCam server every 30 minutes. The archived images provide a permanent record that can be visually-inspected to determine the phenological state of the vegetation at any point in time. Vegetation greenness metrics (e.g., GCC) derived from the ratio of the green color band to sum of red, green, and blue color bands serve as proxies for vegetation greenness.  Greenness metrics can be extracted from the images using simple image processing methods in 1-day or 3-day increments.
This dataset is available to the public and may be freely downloaded. Please keep the designated Contact person informed of any plans to use the dataset. Consultation or collaboration with the original investigators is strongly encouraged. Publications and data products that make use of the dataset must include proper acknowledgement.
The development of PhenoCam has been supported by multiple entities. Those include the Northeastern States Research Cooperative, NSF’s Macrosystems Biology program (award EF-1065029), DOE’s Regional and Global Climate Modeling program (award DE-SC0016011), the US National Park Service Inventory and Monitoring Program, the USA National Phenology Network (grant number G10AP00129 from the United States Geological Survey), and is currently supported by the Department of Agriculture (USDA) Agricultural Research Service.
This research is a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR and the Jornada Experimental Range are supported by the United States Department of Agriculture (USDA) Agricultural Research Service.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: PhenoCam images from JERBAJADA.</p> <p>File Name: Web Page, url: <a href="https://phenocam.sr.unh.edu/webcam/sites/jerbajada/" target="_blank">https://phenocam.sr.unh.edu/webcam/sites/jerbajada/</a> </p></li></ul>

Tags: ars, data-gov, digital-image, long-term-monitoring-sites, ltar, new-mexico, np216, phenocam, phenology, primary-productivity
Organization: Department of Agriculture
Metadata from: Breeding heat tolerant orchardgrass germplasm for summer persistence in high temperature stress environments of the southeastern United States

<p>This is digital research data corresponding to a published manuscript, Breeding heat tolerant orchardgrass germplasm for summer persistence in high temperature stress environments of the southeastern United States, in Crop Science, Volume 61, p. 1915 - 1925. </p>
<p>Orchardgrass (<em>Dactylis glomerata</em> L.) could serve as a cool-season perennial in southeastern production systems, but often does not behave as a true perennial under high temperature stress conditions of the region. This work sought to develop heat-tolerant orchardgrass germplasm through recurrent phenotypic selection (RPS) that would both reduce secondary seed dormancy caused by high soil temperatures and improve stand persistence over summer months. Selection was conducted in a growth chamber 40/30 °C (12/12 h, light/darkness), with germinated seedlings subjected to an additional 2–3 weeks of 40/30 °C conditions. The base germplasm (Cycle 0) and selected individuals (Cycles 1–3) were transplanted into the field, then harvested for seed. Forty-degree germination tests compared mean cumulative germination, velocity of germination within 8 days (VOG8), and realized heritability. Stand persistence was assessed 1 year after transplanting. </p>
<p>Methods are described in the manuscript <a href="https://doi.org/10.1002/csc2.20492">https://doi.org/10.1002/csc2.20492</a>. Descriptions for each dataset corresponding to each figure and table in the text of the manuscript are found in the ReadMe.docx file or on each individual tab in the Excel file. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Link to dataset at Datadryad.org.</p> <p>File Name: Web Page, url: <a href="https://doi.org/10.5061/dryad.8w9ghx3ps">https://doi.org/10.5061/dryad.8w9ghx3ps</a> </p><p>This is digital research data corresponding to a published manuscript, Breeding heat tolerant orchardgrass germplasm for summer persistence in high temperature stress environments of the southeastern United States, in Crop Science, Volume 61, p. 1915 - 1925. </p></li></ul><p></p>

Tags: ars, climate-resiliency, data-gov, earth-science-agriculture-agricultural-plant-science-plant-breeding-and-genetics, forages, np301, southeast
Organization: Department of Agriculture