AndreaBozzo/ceres-open-data-index huggingface dataset:
Data from: Draft Genome Assembly of Passalora sequoiae a Needle Blight Pathogen on Leyland Cypress

<p>The objective was to generate a high-quality draft assembly of the whole genome as a resource for future applications such as temporal and spatial dispersal studies of the pathogen and to investigate genotype diversity relevant in fungicide resistance studies and cypress breeding programs. We report here the genome sequence of <em>Passalora sequoiae</em> 9LC2 that was isolated from Leyland cypress 'Leighton Green' (<em>Cupressocyparis leylandii</em>) in 2017 in southern Mississippi. The draft genome was obtained using Pacific Biosciences (PacBio) SMRT and Illumina HiSeq 2500 sequencing. Illumina reads were mapped to PacBio assembled contigs to determine base call consistency. Based on a total of 44 contigs with 722 kilobase (kb) average length (range 9.4 kb to 3.4 Mb), the whole genome size was estimated at 31,768,716 bp. Mapping of Illumina reads to PacBio contigs resulted in a 1000 x coverage and were used to confirm accuracy of the consensus sequences.</p>
<p>The figures and methods files are documentation in support of a BMC Data Notes publication 'Draft Genome Assembly of <em>Passalora sequoiae</em> a Needle Blight Pathogen on Leyland Cypress'. The images illustrate </p>
<ul>
<li>Leyland cypress tree showing <em>Passalora</em> twig blight symptoms</li>
<li>Infected Leyland cypress leaf with sporulating conidioma of <em>Passalora sequoiae</em></li>
<li>Conidia of <em>Passalora sequoiae</em></li>
<li><em>Passalora</em> 9LC2 phylogeny</li>
</ul>
<p>.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Fig 1 Leyland cypress blight symptoms.</p> <p>File Name: Fig1 LC blight.JPG</p><p>Resource Description: Leyland cypress tree showing Passalora twig blight symptoms. </p></li><br><li><p>Resource Title: Fig 2 Passalora sporulation.</p> <p>File Name: Fig2 LC sporulation.png</p><p>Resource Description: Fig. 2. Infected Leyland cypress leaf with sporulating conidioma of Passalora sequoiae. </p></li><br><li><p>Resource Title: Fig 4 Passalora 9LC2 phylogeny.</p> <p>File Name: Fig 4 Passalora 9LC2 phylogeny.pdf</p><p>Resource Description:  See Methodology for details about generating the phylogenetic tree.</p></li><br><li><p>Resource Title: Fig 3 Passalora conidia.</p> <p>File Name: Fig 3 Passalora conidia.jpg</p><p>Resource Description: Fig. 3. Conidia of *Passalora sequoiae*. </p></li><br><li><p>Resource Title: Methodology.</p> <p>File Name: Copes Methodology.docx</p><p>Resource Description: This is a more detailed account of methods used in the 'Draft Genome Assembly of *Passalora sequoiae* a Needle Blight Pathogen on Leyland Cypress'.</p><p>Resource Software Recommended: Microsoft WORD,url: <a href="http://www.microsoft.com" target="_blank">http://www.microsoft.com</a> </p></li></ul>

Tags: ars, data-gov, np305
Organization: Department of Agriculture
Data from: Grazing Effects on Nitrous Oxide Flux in an Integrated Crop-Livestock System

<p dir="ltr">Integrated crop-livestock (ICL) systems represent a promising approach to sustainably intensify agricultural production. However, the inherent complexity of ICL systems contributes to potential tradeoffs among production, economic, and environmental attributes. Among the many important environmental metrics associated with agricultural production, nitrous oxide (N<sub>2</sub>O) flux from soil is prominent for its dual role as a strong greenhouse gas and its capacity to deplete ozone in the stratosphere. Unfortunately, there is limited understanding of ICL system effects on N<sub>2</sub>O flux from soil, especially in North America. Given this context, soil-atmosphere N<sub>2</sub>O flux was measured from ICL and non-ICL practices over a 3-year period near Mandan, ND USA. Evaluated treatments included grazed and ungrazed cropland and grassland, each replicated four times. Measurements of N<sub>2</sub>O flux were made using static chamber methodology 93 times over the study period (14 Oct 2016 – 16 Oct 2019). Near-surface soil water content and temperature were measured concurrently with N<sub>2</sub>O flux when the soil was not frozen. Seasonal measurements of soil bulk density, soil pH, and extractable nitrate-N and ammonium-N were evaluated in all treatments each year. Data may be used to understand N<sub>2</sub>O flux and soil property dynamics in ICL production systems. Data are generally applicable to cropland under a semiarid Continental climate for the following soil types: Grassna, Linton, Mandan, Temvik, Williams, and Wilton.</p>

Tags: cropland, grazing-cattle, greenhouse-gases-environmental-aspects, integrated-crop-livestock-systems, long-term-experiment, northern-great-plains, perennial-forages, semiarid-region
Organization: Department of Agriculture
SGP97 GCIP/NESOB-97 Surface: Atmospheric Radiation Measurement (ARM) 5-Minute Surface Meteorological Dataset

<p>The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The GEWEX Continental-Scale International Project (GCIP) Near-Surface Observation Data Set (NESOB) 1997 ARM 5 Minute Surface Composite is composed of data from the Department Of Energy (DOE) Atmospheric Radiation Measurement Surface (ARMSFC) Network within the NESOB 1997 domain. This Surface Composite contains data for the NESOB 1997 time period (01 April 1997 through 31 March 1998) and for the NESOB 1997 area which is approximately 34N to 39N latitude and 94.5W to 100.5W longitude. The DOE ARM Surface (ARMSFC) 5-minute values were derived from ARMSFC 1-minute data.  The ARMSFC instrument readouts were every second for all variables except 1 minute for barometric pressure. The detailed descriptions of the algorithms used to produce ARMSFC one minute data are not currently available. When not present in the raw data, the dewpoint is computed using the formula from Bolton (1980). Calculated Sea Level pressure is computed from station pressure, temperature, dewpoint, and station elevation using the formula of Wallace and Hobbs (1977). Specific Humidity values were computed from dew point and station pressure using formulas from Wexler and Wildhack (1963). The NESOB 1997 ARM 5-Minute Surface Composite contains ten metadata parameters and 41 data parameters and flags. The metadata parameters describe the station location and time at which the data were collected. The time of observation is reported both in Universal Time Coordinated (UTC) Nominal and UTC actual time. Days begin at UTC hour 0000 and end at UTC hour 2355. The data parameters are valid for the reported times. Missing values are reported as 9's in the data field.</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/SGP97NESOB5minMeteor_jjm_2015-05-07_0916" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/SGP97NESOB5minMeteor_jjm_2015-05-07_0916</a> </p></li></ul>

Tags: ars, atmospheric-radiation, data-gov, environment, farming, hydrology, meteorology, water
Organization: Department of Agriculture
Walnut Gulch Experimental Watershed, Kendall (Carbon Dioxide and Water Flux)

<p>Atmospheric carbon dioxide and moisture concentrations were measured with an infrared gas analyzer (IRGA) (LI-6262, LI-COR, Inc. Lincoln, Nebraska, USA). Measurements were made from 1997 through the present at the Kendall site. The meteorological data and Bowen ratio energy balance systems (BREB) (Model 023/CO2 Campbell Scientific Inc., Logan, Utah, USA) data are used to calculate carbon dioxide and evapotranspiration (ET) fluxes. The stored Bowen ration instrument data from the measurement site were transmitted by radio daily to our research station in Tombstone, AZ. From there, they were transferred through an Internet connection to Tucson, AZ. The data were then divided into 5-day increments and inserted into a Quattro1 Pro spreadsheet file which had all the formulations to calculate flux of soil heat, latent heat, sensible heat, evapotranspiration rates (ET), and CO2 rates on the 20-min time step of the data. All instrument and calculated data were graphed in the spreadsheet file and thoroughly reviewed for any instrument problems or data stream collection issues.

Carbon dioxide and water fluxes are important components of watershed function. In order to study carbon dioxide and water flux as they exist over the Walnut Gulch Experimental Watershed (WGEW), two sites were selected on the basis of their ecosystem composition, one site being dominated by shrubs and the other a grass dominated plant community. The grass site is identified as Kendall (109560800W, 314401000N; elevation; 1526 m). The soils at the Kendall site are a complex of Stronghold (coarse-loamy, mixed, thermic Ustollic Calciorthids), Elgin (fine, mixed, thermic, Ustollic Paleargids), and McAllister (fine-loamy, mixed, thermic, Ustollic Haplargids) soils, with Stronghold the dominant soil [NRCS Soil Survey, 2003]. Slopes range from 4 to 9%. The Stronghold surface A horizon (0-3 cm) contains 670 g kg1 sand, 160 g kg1 silt, and 170 g kg1 clay with 790 g kg1 coarse fragments >2 mm, 11 g kg1 organic carbon, and 7 g kg1 inorganic carbon. Vegetation is dominated by herbaceous plants, predominately black grama (Bouteloua eriopoda (Torr.) Torr.), sideoats grama (Bouteloua curtipendula (Michx.) Torr.), three-awn (Aristida sp.) and cane beardgrass (Bothriochloa barbinodis (Lag.) Herter). Vegetation canopy height at the grass site ranged from 0.4 to 0.7 m during the growing season.</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/WalnutKendall_jjm_2015-03-20_1241" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/WalnutKendall_jjm_2015-03-20_1241</a> </p></li></ul>

Tags: air-temperature, ars, carbon-dioxide, data-gov, drainage, environment, evapotranspiration, farming, grasslands, heat-flux, humidity, shrubland, soil-heat-budget, soil-temperature, watersheds
Organization: Department of Agriculture
SGP97 GCIP/EOP Surface: Precipitation NCEP/EMC 4KM Gridded Data (GRIB) Radar Est. no bias removal RAD-2001

<p>The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project (GCIP) Enhanced Observing Period (EOP) takes place in the Mississippi River basin, which provides a number of watershed areas that are potentially useful for hydrologic focused studies. The temporal coverage for this dataset is as follows: Begin datetime: 1996-05-01 00:00:00, End datetime: 2001-12-31 23:59:59. This dataset contains the National Centers for Environmental Prediction (NCEP) Environmental Modeling Center (EMC) 4 KM GRIB radar estimate (no bias removal) "RAD" data. A prototype, real-time, hourly, multi-sensor National Preciptation Analysis (NPA) has been developed at NCEP in cooperation with the Office of Hydrology (OH). This analysis merges two data sources that are currently being collected in real-time by OH and NCEP. Hourly digital precipitation (HDP) radar estimates are created by the WSR-88D Radar Product Generator on a 131 X 131 4-km grid centered over each radar site. Data analysis routines, including a bias correction of the radar estimates using rain gage data, have been adapted by NCEP on a national 4-km grid from algorithms developed by OH and executed regionally at NWS River Forecast Centers (RFC). This dataset only contains the NCEP 4 KM GRIB Data hourly, 6-hourly, and daily radar estimate (no bias removal). 6-hourly data are generally available at 00Z, 06Z, 12Z, and 18Z. Daily data are generally available at 12Z. Depending on the time period selected, all three datasets may or may not be available. Other NCEP 4 KM GRIB Data including gage-only analysis, multi-sensor analysis (gage and unbiased radar), radar estimate after bias removal, and gage-only analysis using 24h accumulated ("RFC") data are available as independent datasets. Depending on the time period selected, all five types may or may not be available. Please see GCIP/EOP: Surface NCEP Ancillary Catalogue of Available GCIP Precipitation Data (NCEP/EMC). The format of the files is GRIB. The files are compressed using the UNIX "compress" command and "uncompress" must be used before decoding.</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/SGP974KMnobias_JJM_2015-04-24_1102" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/SGP974KMnobias_JJM_2015-04-24_1102</a> </p></li></ul>

Tags: ars, climate-change, data-gov, environment, farming, hydrology, rain, rivers, soil, water, watersheds
Organization: Department of Agriculture
Infrared Thermometer Data at the Weighing Lysimeters at Bushland, Texas

<p dir="ltr">Directional brightness temperatures of fallow and cropped surfaces that were sensed by wireless infrared thermometers (IRTs) that were deployed at various positions and view angles over the four large weighing lysimeters in 15-minute time steps at the Conservation and Production Research Laboratory, Bushland, Texas, USA.</p>

Tags: canopy-temperature, directional-brightness-temperature, land-surface-temperature, qa-qc, quality-assurance, quality-control, remote-sensing, soil-surface-temperature, vegetation-temperature, weather-data
Organization: Department of Agriculture
SGP97 ARM Soil Texture Data Set

<p>The Southern Great Plains 1997 (SGP97) Hydrology Experiment originated from an interdisciplinary investigation, "Soil Moisture Mapping at Satellite Temporal and Spatial Scales" (PI: Thomas J. Jackson, USDA Agricultural Research Service, Beltsville, MD) selected under the NASA Research Announcement 95-MTPE-03. The core of the 1997 experiment involves the deployment of the L-band Electronically Scanned Thinned Array Radiometer (ESTAR) for daily mapping of surface soil moisture. The region selected for investigation is the best instrumented site for surface soil moisture, hydrology and meteorology in the world. This includes the USDA/ARS Little Washita Watershed, the USDA/ARS facility at El Reno, Oklahoma, the ARM/CART central facility, as well as the Oklahoma Mesonet. The temporal coverage for this dataset is as follows: Begin datetime: 1995-10-01 00:00:00, End datetime: 2001-03-31 23:59:59. The Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Southern Great Plains (SGP) Soil Texture Data Set is one of the various sub-surface data sets developed for the ARM/GCIP (Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project) 1996 Near-Surface Observation (NESOB-96) Data Set. This data set contains a summary table of the percentages of sand, silt, and clay fractions in each soil layer at each of the ARM SWATS (Soil Water and Temperature System) sites at the SGP site. Also included is the corresponding USDA texture class as determined from the "soil triangle". The soil characterizations were perfomed by Oklahoma State University.</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/SGP97armTexture_JJM_2015-04-23_1409" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/SGP97armTexture_JJM_2015-04-23_1409</a> </p></li></ul>

Tags: ars, clay, data-gov, environment, farming, hydrology, meteorology, sand, silt, soil, water, watersheds
Organization: Department of Agriculture
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging - Year 3 Software and Data

This dataset contains software, sensor data, and experimental recordings generated during Year 3 of a DOE-funded project focused on the co-design of marine energy converters and autonomous underwater vehicle (AUV) docking and recharging systems. Data were collected during experimental testing at the O.H. Hinsdale Wave Research Laboratory and support foundational research aimed at advancing coupled Wave Energy Converter (WEC)-AUV systems for marine energy applications.

The dataset includes pressure sensor recordings collected on a remotely operated vehicle (ROV) under varying wave conditions; vehicle data recorded during autonomous docking operations; and video footage from tests demonstrating AUV docking procedures. Also included is software hosted in a linked GitHub repository, which provides installation instructions, supporting code for BlueROV2 operation, and relevant dependencies for data handling and system control. This release builds on data provided in a previous submission from earlier phases of the project, linked below.

Tags: autonomous-underwater-vehicle, auv, bluerov2, docking, energy, experimental-data, hinsdale-wave-lab, hydrodynamic-testing, hydrokinetic, marine, mhk, power, power-at-sea, pressure-data, recharging, ros-2, sensor-data, vehicle-telemetry, wave-energy-converter, wave-tank
Organization: Department of Energy
Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging - Software and Data

Software and testing data from the OH Hinsdale Wave lab for DOE-funded project on Co-Design of Marine Energy Converters for Autonomous Underwater Vehicle Docking and Recharging. This project will perform foundational research and testing to accelerate the sector-wide development and deployment of marine energy converters to provide Power-At-Sea. Specifically, we seek to overcome known challenges and knowledge gaps for the successful co-design of coupled Wave Energy Converter (WEC)-Autonomous Underwater Vehicles (AUV) systems; systems designed and tested for WEC array system health and environmental monitoring applications. This project brings together an experienced, multi-institution, and multi-disciplinary team to focus on the co-design of marine energy (ME) technologies and AUV docking systems, including multi-body hydrodynamic modeling, active control, autonomy, and hardware interfaces necessary to enable new WEC-focused understanding, and allow for robust and ubiquitous AUV docking and recharging in real-world conditions.

Tags: autonomous-underwater-vehicles, auv, bluerov2, c_, casadi, co-design, code, coupled, docking, energy, geographlib, gi-gobject, hydrokinetic, imutils, lupa, marine, mavros, mhk, numpy, opencv, pandas, python, pyyaml, recharging, robotics, ros, software, software-package, technology, testing, video, wave-energy-converter, wec
Organization: Department of Energy
Veterans Affairs Geographic Distribution of Expenditures FY08 by Congressional District

<p>The Geographic Distribution of VA Expenditures (GDX)  is an annual report that shows estimated VA expenditures for major programmatic areas by geographic area (state, county, and congressional district). The major programmatic areas are: Compensation and Pension; Readjustment (Education) and Vocational Rehabilitation; Insurance; Construction; and, Medical and Administrative.</p>

Tags: expenditure, veteran
Organization: Department of Veterans Affairs
Veterans Affairs Geographic Distribution of Expenditures FY08 by State and County

<p>The Geographic Distribution of VA Expenditures (GDX)  is an annual report that shows estimated VA expenditures for major programmatic areas by geographic area (state, county, and congressional district). The major programmatic areas are: Compensation and Pension; Readjustment (Education) and Vocational Rehabilitation; Insurance; Construction; and, Medical and Administrative.</p>

Tags: expenditure, veteran
Organization: Department of Veterans Affairs
LTAR Upper Mississippi River Basin - St. Paul - Aspirational Cropping System Phenocam

<p>A stationary camera used to track vegetation phenology overlooking a row crop field that is in an aspirational cropping system (corn/soybean rotation with a living much - Kura Clover). 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/e1ca41fc-9593-4b88-8052-7b0ad206781f" target="_blank">https://geodata.nal.usda.gov/geonetwork/srv/eng/catalog.search#/metadata/e1ca41fc-9593-4b88-8052-7b0ad206781f</a> </p></li></ul>

Tags: ars, biological-resources, biota, 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, environment, farming, kura-clover, np211, soybeans, vegetation
Organization: Department of Agriculture
GHRSST Level 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)

The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system returning telemetry in 10-bit precision.  For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0.  The full disk image is subsetted into granules representing distinct northern and southern regions.

Tags: oceanography
Organization: National Oceanic and Atmospheric Administration, Department of Commerce