AndreaBozzo/ceres-open-data-index huggingface dataset:
Image data of growth of Valencia sweet orange nonembryogenic cells on points from a 5-factor response surface design to determine the effects of mineral nutrition on growth

<p dir="ltr">The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2006 at the U.S. Horticultural Research Laboratory, Ft. Pierce, Florida, USA to photo document treatments from an experiment designed to determine the effects of mineral nutrition on callus growth using a 5-factor response surface methodology (RSM) design. The design matrix is presented in the spreadsheet file <b>5 factor RSM Design_11-28-2005.xlsx</b>. The design included 46 runs divided into 3 blocks. Six culture dishes were used to estimate the response for each run. A culture dish representative of the run was photographed. Each image is named to match the run of the design. For example, the jpg image labeled <b>Run 04_Blk1_5F RSM_NE_Valencia_11-28-2005.JPG</b> is an image of the callus grown on Run #4 that was part of Block 1 of the 5-factor RSM design for the nonembryogenic Valencia sweet orange callus cells. This dataset includes 47 files – 46 image files and 1 Excel spreadsheet. Images were captured in JPEG (EXIF 2.2) format with a Nikon Coolpix 5400 digital camera equipped with a 1/1.8” (7.2 x 5.3 mm) CCD sensor at a resolution of 2592 x 1944 pixels. Each image is of a single culture plate with the top lid removed and photographed under cool white, fluorescent lighting.</p><p dir="ltr">The experimental setup for the 5-factor response surface design is described in - Niedz, R. P. and T. J. Evens (2007). "Regulating plant tissue growth by mineral nutrition." In Vitro Cellular & Developmental Biology - Plant 43(4): 370-381.</p>

Tags: callus, citrus, design-of-experiments-doe, mineral-nutrition, plant-tissue-culture, response-surface-methodology, rsm
Organization: Department of Agriculture
ORPEGN Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Pendleton, Oregon

<p>ORPEGN Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Pendleton, Oregon
None</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/97ac9f4c-898e-478a-8478-6eb25b7049ab" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/97ac9f4c-898e-478a-8478-6eb25b7049ab</a> </p></li></ul>

Tags: ars, data-gov, environment, farming, iso-metadata, np211, np212
Organization: Department of Agriculture
Image data of growth of Valencia sweet orange nonembryogenic cells on predicted points from a 5-factor response surface design

<p dir="ltr">The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2006 at the U.S. Horticultural Research Laboratory, Ft. Pierce, Florida, USA to photo document treatments from an experiment designed to determine how well a model developed from a 5-factor response surface methodology (RSM) design predicted callus growth. Growth predictions for thirteen formulations are listed in the spreadsheet file <b>5 factor RSM Design_Predicted.xlsx</b>. Six culture dishes were used to estimate growth for each formulation. A culture dish representative of the growth of each formulation was photographed. Each image is named to match the formulation. For example, the jpg image labeled <b>5-factor RSM_MS prediction 21.JPG</b> is an image of the callus grown on MS formulation #21. This dataset includes 15 files – 14 image files and 1 Excel spreadsheet. Images were captured in JPEG (EXIF 2.2) format with a Nikon Coolpix 5400 digital camera equipped with a 1/1.8” (7.2 x 5.3 mm) CCD sensor at a resolution of 2592 x 1944 pixels. Each image is of a single culture plate with the top lid removed and photographed under cool white, fluorescent lighting.</p><p dir="ltr">The experimental setup for the 5-factor response surface design is described in - Niedz, R. P. and T. J. Evens (2007). "Regulating plant tissue growth by mineral nutrition." In Vitro Cellular & Developmental Biology - Plant 43(4): 370-381.</p>

Tags: callus, citrus, design-of-experiments-doe, mineral-nutrition, plant-tissue-culture, response-surface-methodology, rsm
Organization: Department of Agriculture
Image data of growth of Valencia sweet orange nonembryogenic cells on points from a 3-factor response surface design to determine the effects of mineral nutrition on growth

<p dir="ltr">The data are images of tissue cultures of Valencia sweet orange nonembryogenic callus cells taken in 2005 at the U.S. Horticultural Research Laboratory, Ft. Pierce, Florida, USA to photo document treatments from an experiment designed to determine the effects of mineral nutrition on callus growth using a 3-factor response surface methodology (RSM) design. The design matrix is presented in the spreadsheet file <b>3 factor RSM Design_7-1-2005.xlsx</b>. The design included 20 runs. Six culture dishes were used to estimate the response for each run. A culture dish representative of each run was photographed. Each image is named to match the run number of the design. For example, the jpg image labeled <b>Run 13_3F RSM_NE_Valencia_7-1-2005.JPG</b> is an image of the callus grown on Run #13 of the 3-factor RSM design for the nonembryogenic Valencia sweet orange callus cells. This dataset includes 21 files – 20 image files and 1 Excel spreadsheet. Images were captured in JPEG (EXIF 2.2) format with a Nikon Coolpix 5400 digital camera equipped with a 1/1.8” (7.2 x 5.3 mm) CCD sensor at a resolution of 2592 x 1944 pixels. Each image is of a single culture plate with the top lid removed and photographed under cool white, fluorescent lighting.</p><p dir="ltr">The experimental setup for the 5-factor response surface design is described in - Niedz, R. P. and T. J. Evens (2007). "Regulating plant tissue growth by mineral nutrition." In Vitro Cellular & Developmental Biology - Plant 43(4): 370-381.</p>

Tags: callus, citrus, design-of-experiments-doe, mineral-nutrition, plant-tissue-culture, response-surface-methodology, rsm
Organization: Department of Agriculture
Meta-data for Phenolic Compound Induction in Plant-Microbe and Plant-Insect Interactions

<p>Meta-data from over 100 studies that examined induction of plant phenolic compounds following colonization by insects or microbial organisms (both pathogens and beneficials). This meta-data was used in a meta-analysis to observe that both insects and microbes consistently induce phenolic production. The meta-data covers publications that range from 2008 to 2017. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Meta-data for Phenolic Induction by Insects and Microbes.</p> <p>File Name: PhenolicInductionMetadata.xlsx</p><p>Resource Description: Meta-data of phenolic induction, including plant host induction of total phenolics, flavonoids, and hydroxycinnamic acid derivatives, in response to insect and microbe (including pathogens and beneficials) from articles ranging from 2008 to 2017</p></li></ul><p></p>

Tags: ars, data-gov, host-plant-interactions, host-plant-resistance, np303, plant-pathology
Organization: Department of Agriculture
SGP97 GCIP/NESOB Surface: National Centers for Environmental Prediction (NCEP) Miscellaneous Daily Precipitation Data

<p>The National Centers for Environmental Prediction (NCEP) Miscellaneous Daily Precipitation Dataset is one of several precipitation datasets provided in the Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project (GCIP) Near-Surface Observation Data Set (NESOB) 1997. This dataset contains all daily precipitation data from the National Centers for Environmental Prediction (NCEP) stations. Stations that reported at standard or incremental times are also included in the various NESOB 1997 precipitation composite datasets. The miscellaneous daily precipitation dataset contains data from stations in the NESOB 1997 domain (94.5 W to 100.5W longitude and 34N to 39N latitude) and time period (01 April 1997 through 31 March 1998). These data were not quality controlled by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS). The National Centers for Environmental Prediction (NCEP) Miscellaneous Daily Precipitation Dataset contains fifteen parameters and uses code tables from the Standard Hydrometeorological Exchange Format (SHEF). The fifteen parameters repeat once for each time period, where the time period is nominally daily. The Physical Element code field should always contain a PP indicating that the precipitation data is reported as incremental values. Missing values are not reported. Each precipitation value has an associated observation date and time which are UTC times.</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/9b312e25-fde6-41fd-9775-e10a039cbd33" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/9b312e25-fde6-41fd-9775-e10a039cbd33</a> </p></li></ul>

Tags: ars, data-gov, hydrology, hydrometeorological-data, precipitation, soil, temperature, water
Organization: Department of Agriculture
Weevils of North America (WoNA)

<p>The Weevils of North America (WoNA) (<a href="http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1">http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1</a>) is an emerging resource for occurrence information, habitus photographs, legacy descriptions, and interactive identification keys for the almost 400 genera and 3300 species of weevils (Coleoptera: Curculionoidea) in North America, led by the Arizona State University Frank F. Hasbrouck Insect Collection (ASUHIC) group (NMF) and the Systematic Entomology Laboratory (USDA-SEL) (MLC). The majority of specimens stem from the Charles W. O'Brien (CWOB) weevil collection, and Dr. O'Brien's vast and generous contributions to this effort are hereby kindly acknowledged. We also acknowledge support from the United States Department of Agriculture.</p>
<p>For more information about this dataset, contact
Maria Lourdes Chamorro: lourdes.chamorro@ars.usda.gov
Nico Franz: nico.franz@asu.edu </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Weevils of North America (WoNA).</p> <p>File Name: Web Page, url: <a href="http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1">http://symbiota4.acis.ufl.edu/scan/portal/checklists/checklist.php?cl=1</a> </p><p>Link to Weevils of North America (WoNA) web site.</p></li></ul><p></p>

Tags: ars, coleoptera, curculionidae, data-gov, np304, online-database, systematics, weevils
Organization: Department of Agriculture
SGP97 GCIP/NESOB Surface: National Centers for Environmental Prediction (NCEP) Miscellaneous Hourly Precipitation Data

<p>The National Centers for Environmental Prediction (NCEP) Miscellaneous Precipitation Dataset is one of several precipitation datasets provided in the Global Energy and Water Cycle Experiment (GEWEX) Continental-Scale International Project (GCIP) Near-Surface Observation Data Set (NESOB) 1997. This dataset contains all hourly precipitation data from the National Centers for Environmental Prediction (NCEP) stations. Stations that reported at standard or incremental times are also included in the various NESOB 1997 precipitation composite datasets. The miscellaneous precipitation dataset contains data from stations in the NESOB 1997 domain (94.5 W to 100.5W longitude and 34N to 39N latitude) and time period (01 April 1997 through 31 March 1998). These data were not quality controlled by the University Corporation for Atmospheric Research/Joint Office for Science Support (UCAR/JOSS). The National Centers for Environmental Prediction (NCEP) Miscellaneous Precipitation Dataset contains eight parameters and uses code tables from the Standard Hydrometeorological Exchange Format (SHEF). The eight parameters repeat once for each time period, where the time period is nominally hourly. The Physical Element code field should always contain a PP indicating that the precipitation data is reported as incremental values. Missing values are not reported. Each precipitation value has an associated observation date and time which are UTC times. The algorithms used to form the NCEP Precipitation data are not currently available.</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/a9eadec5-9d42-41a6-b751-0f3a338de036" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/a9eadec5-9d42-41a6-b751-0f3a338de036</a> </p></li></ul>

Tags: ars, data-gov, hydrology, hydrometeorological-data, precipitation, prediction, soil, water
Organization: Department of Agriculture
Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 5-minute summary air temperature data: 2013 - ongoing

<p>5-minute summary data at NPP M-NORT met station. Average air temperature measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Air temperature is measured at approximate 2.5m. This climate station is operated by the Jornada LTER Program.     This is an ONGOING dataset. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Website Pointer to html file.</p> <p>File Name: Web Page, url: <a href="https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-jrn&identifier=210437007">https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-jrn&identifier=210437007</a> </p><p>Webpage with information and links to data files for download</p></li></ul><p></p>

Tags: air-temperature, and-atmosphere, ars, climate, core, data-gov, disturbance, long-term, m-nort, meteorology, np216, npp, npp-locations, nsf-lterlong-term-ecological-research, soils, study-437
Organization: Department of Agriculture
Data from: The survival and growth of honey bee (Hymenoptera: Apidae) colonies overwintered in cold storage: the effects of time and colony location

<p>The data provided is from a study on overwintering honey bee colonies using cold storage. Colonies were summered in two different geographic regions of the USA: South Texas and North Dakota. Colonies summered in North Dakota were placed in cold storage in either October or November of 2019. Placement in cold storage of hives summered in South Texas happened in November of 2019. A second set of colonies overwintered in south Texas. All sets of colonies were evaluated and sampled prior to and after cold storage and again after almond bloom in 2020.  Colonies overwintered in South Texas were evaluated during the same periods as those in cold storage. Data are provided for frames of bees and brood pre and post cold storage as well as after almond bloom. The data included in the two files shows: bee frame counts, mite counts and brood counts. Lab data provided shows fat body weight as well as protein and lipid concentrations in worker bees pre and post cold storage /overwintering.</p>
<p>Resources in this dataset:</p>
<ul>
<li>
<p>Resource Title: Colony Evaluations Pre and Post Cold Storage
File Name: colony sizes.xlsx
Resource Description: The data shows the colony evaluations including frames of brood, frames of bees, and pre treatment mite counts pre and post cold storage.</p>
</li>
<li>
<p>Resource Title: Protein and Lipid Concentrations of Honey Bees Colonies Pre and Post Cold Storage
File Name: fat body col sizes and analysis.xlsx
Resource Description: The data shows the pre and post cold storage colony lipid and protein concentrations. Data also shows the average number frames of bees, brood and mite counts associated with these treatments.</p>
</li>
</ul>

Tags: ars, cold-storage, data-gov, fat-body, grand-challenge, honey-bee, lipid, np305, overwintering, protein, survival, winter-bee
Organization: Department of Agriculture
H3 Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Mandan, North Dakota

<p>H3 Study for Greenhouse gas Reduction through Agricultural Carbon Enhancement network in Mandan, North Dakota
Greenhouse gas management and understanding the carbon emissions associated with land management decisions is a growing public concern and an increasingly important component to sustainable agricultural systems. Fertilization with nitrogen is known to influence emissions of greenhouse gases from soils. Less clear is how the timing of fertilization impacts emissions. We performed an experiment to determine if emissions could be reduced by adjustment of fertilization timing alone using a maize field in production. We found fertilization of plots with urea in the early-spring resulted in lower greenhouse gas emissions than fertilization of similar plots with urea in the late-spring. This was primarily due to greater emissions of carbon dioxide at the soil surface when fertilized at temperatures greater than 10°C. The difference between treatments, when integrated over a 5-month growing season, was 548 kg C ha-1. Yields were similar for both treatments. Fertilizing at cooler temperatures resulted in a substantial carbon “savings” without affecting yield. This study indicates fertilization timing may be a management option for reducing soil carbon losses and greenhouse gas emissions. Additional study is needed to determine if this effect is consistent across years.</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/86e8f236-8310-4912-8dd2-e9fb36996417" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/86e8f236-8310-4912-8dd2-e9fb36996417</a> </p></li></ul>

Tags: ars, data-gov, environment, farming, np211, np212
Organization: Department of Agriculture
Data from: Trends and sensitivities of low streamflow extremes to discharge timing and magnitude in Pacific Northwest mountain streams

<p>Path analyses of historical streamflow data from the Pacific Northwest indicate that the precipitation amount has been the dominant control on the magnitude of low streamflow extremes compared to the air temperature‐affected timing of snowmelt runoff. The relative sensitivities of low streamflow to precipitation and temperature changes have important implications for adaptation planning because global circulation models produce relatively robust estimates of air temperature changes but have large uncertainties in projected precipitation amounts in the Pacific Northwest U.S. Quantile regression analyses indicate that low streamflow extremes from the majority of catchments in this study have declined from 1948 to 2013, which may significantly affect terrestrial and aquatic ecosystems, and water resource management. Trends in the 25th percentile of mean annual streamflow have declined and the center of timing has occurred earlier. We quantify the relative influences of total precipitation and air temperature on the annual low streamflow extremes from 42 stream gauges using mean annual streamflow as a proxy for precipitation amount effects and streamflow center of timing as a proxy for temperature effects on low flow metrics, including 7q10 summer (the minimum 7 day flow during summer with a 10 year return period), mean August, mean September, mean summer, 7q10 winter, and mean winter flow metrics. These methods have the benefit of using only readily available streamflow data, which makes our results robust against systematic errors in high elevation distributed precipitation data. Winter low flow metrics are weakly tied to both mean annual streamflow and center of timing. </p><div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Supporting Information: Figure S1; Table S1 - Download docx.</p> <p>File Name: downloadSupplement, url: <a href="https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002/2015WR018125&file=wrcr22104-sup-0001-2015WR018125-s01.doc">https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002/2015WR018125&file=wrcr22104-sup-0001-2015WR018125-s01.doc</a> </p><p>Figure S1. Net effect from mean annual streamflow and center of timing on low flow metrics at each gauge.
Table S1. Basins with significant basin area classified as irrigation in USGS water year summaries (ie <a href="http://waterdata.usgs.gov/wa/nwis/wys_rpt/?site_no=14113000">http://waterdata.usgs.gov/wa/nwis/wys_rpt/?site_no=14113000</a>). </p></li></ul><p></p>

Tags: ars, data-gov, low-streamflow-extremes, np211
Organization: Department of Agriculture
SGP97 Upper Air: DOE ARM 50 MHz Profiler Winds

<p>The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) 50 MHz Radar Wind Profiler and Radio Acoustic Sounding System (RASS) Vertical Profiles is one of various data sets provided for the Southern Great Plains 1997 (SGP97) project.  This data set contains vertical profiles of virtual temperature and wind speed and direction every hour taken at the Central Facility. This data set covers the period from 1 June through 31 July 1997. The SGP97 domain is approximately 97W to 99W longitude and 34.5N to 37N latitude. These data are in their original NetCDF format. The 50-MHz Radar Wind Profiler/RASS (RWP50) measures wind profiles from (nominally) 2 to 12 km and virtual temperature profiles from 2 to 4 km. It operates by transmitting electromagnetic energy into the atmosphere and measuring the strength and frequency of backscattered energy. Virtual temperatures are recovered by transmitting an acoustic signal vertically and measuring the electromagnetic energy scattered from the acoustic wavefront. The propagation speed of the acoustic wave is proportional to the square root of the virtual temperature. The primary quantities measured with the system are the intensity and Doppler frequency of backscattered radiation. The wind speed is determined from the Doppler frequency of energy scattered from refractive index fluctuations (caused primarily by temperature fluctuations) embedded within the atmosphere; the virtual temperature is determined from the Doppler frequency of microwave energy scattered from acoustic energy propagating through the atmosphere. No additional quality control was performed by the University Corporation for Atmospheric Research/Joint Office for Science Support (JOSS).</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/58f943c4-6d18-427b-a049-c142d118027c" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/58f943c4-6d18-427b-a049-c142d118027c</a> </p></li></ul>

Tags: ars, atmospheric-radiation, data-gov, hydrology, microwave, radar-backscatter, soil, soil-moisture, virtual-temperature, watersheds, wind-direction, wind-speed
Organization: Department of Agriculture