AndreaBozzo/ceres-open-data-index huggingface dataset:
Data From: Do diet and Fumagillin treatment impact Vairimorpha (Nosema) spp. (Microspora: Nosematidae) infections in honey bees (Hymenoptera: Apidae) and improve survival and growth of colonies overwintered in cold storage?

<p dir="ltr">The data set contains two years of data on honey bee colony sizes expressed as frames (combs) of adult bees and brood, Varroa mites counted per 100 bees and <i>Vairimorpha </i>(<i>Nosema</i>) spp. spores in worker bees in each colony. The data set also contains measurement of fat body weights, protein and lipid concentrations made prior to and after colonies were overwintered in cold storage. In the year-2 data set, colony measurements, <i>Nosema</i> and Varroa mite counts and fat body metrics were separated by treatment group. The treatment groups were: colonies fed pollen or protein supplement and treated with Fumagillin for <i>Nosema</i> and colonies fed the same diets but not treated with Fumagillin for <i>Nosema</i>.</p>

Tags: 2022-21000-022-19i, almonds, cold-storage, diet, fat-body, grand-challenge, nosema, np305, overwintering, pollen, pollination, protein, spore, supplemental-feeding, survival, vairimorpha
Organization: Department of Agriculture
F00810: NOS Hydrographic Survey , 2020-08-05

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, maine, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, piscataqua river, portsmouth to dover and exeter, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
F00794: NOS Hydrographic Survey , 2019-09-09

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, little river inlet, little river inlet and icw, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, south carolina, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
F00753: NOS Hydrographic Survey , 2018-10-23

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, aproaches to charleston, bathymetry, bathymetry/seafloor topography, charleston, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, sc, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, south carolina, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
F00752: NOS Hydrographic Survey , 2018-09-16

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information.
							NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Tags: acoustic sounders, approaches to wilmington, bathymetry, bathymetry/seafloor topography, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), in situ ocean-based platforms, in situ/laboratory instruments, marine sediments, mbes, msbs, multibeam mapping system, multibeam swath bathymetry system, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, north carolina, ocean, oceans, passive remote sensing, positioning/navigation, profilers/sounders, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Iowa Population 18 Years and Over by Sex, Age and Educational Attainment (ACS 5-Year Estimates)

This dataset provides Iowa population 18 years and over by educational attainment, sex and age for State of Iowa, individual Iowa counties, and census tracts within Iowa.  Data is from the American Community Survey, Five Year Estimates, Table B15001.

Sex Categories: Male, Female and Both

Age Categories : All, 18 to 24 years, 25 to 34 years, 35 to 44 years, 45 to 64 years, and 65 years and over

Educational Attainment Categories: Any, Less than 9th Grade, 9th to 12th Grade - No Diploma, High School Diploma or Equivalent, Some College - No Degree, Associates Degree, Bachelors Degree, and Graduate or Professional Degree

Tags: acs-5-year-estimates, age, american-community-survey, census-tract, county, educational-attainment, sex
Organization: State of Iowa
SGS-LTER Bouteloua gracilis Removal Experiment Vegetation Point of Intercept (Cover) Data on the Central Plains Experimental Range, Nunn, Colorado USA 1997-2005, ARS Study Number 155

<p>This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (<a href="http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429">http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429</a>). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
Six sites approximately 6 km apart were selected at the Central Plains Experimental Range in 1997. Within each site, there was a pair of adjacent ungrazed and moderately summer grazed (40-60% removal of annual aboveground production by cattle) locations. Grazed locations had been grazed from 1939 to present and ungrazed locations had been protected from 1991 to present by the establishment of exclosures. Within grazed and ungrazed locations, all tillers and root crowns of B. gracilis were removed from two treatment plots (3 m x 3 m) with all other vegetation undisturbed. Two control plots were established adjacent to the treatment plots. Plant density was measured annually by species in a fixed 1m x 1m quadrat in the center of treatment and control plots. For clonal species, an individual plant was defined as a group of tillers connected by a crown (Coffin and Lauenroth 1988, Fair et al. 1999). Seedlings were counted as separate individuals. In the same quadrat, basal cover by species, bare soil, and litter were estimated annually using a point frame. A total of 40 points were read from four locations halfway between the center point and corners of the 1m x 1m quadrat. Density was measured from 1998 to 2005 and cover from 1997 to 2006. All measurements were taken in late June/early July. </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-sgs&identifier=703">https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=703</a> </p><p>Webpage with information and links to data files for download</p></li></ul><p></p>

Tags: ars, blue-grama, cover, data-gov, disturbance, np215, nsf-lterlong-term-ecological-research, plants, population-dynamics, populations, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-215-pasture-fo
Organization: Department of Agriculture
SGS-LTER Bouteloua gracilis Removal Experiment Vegetation Density Data on the Central Plains Experimental Range, Nunn, Colorado, USA 1997-2008

<p>This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (<a href="http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429">http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429</a>). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
Six sites approximately 6 km apart were selected at the Central Plains Experimental Range in 1997. Within each site, there was a pair of adjacent ungrazed and moderately summer grazed (40-60% removal of annual aboveground production by cattle) locations. Grazed locations had been grazed from 1939 to present and ungrazed locations had been protected from 1991 to present by the establishment of exclosures. Within grazed and ungrazed locations, all tillers and root crowns of B. gracilis were removed from two treatment plots (3 m x 3 m) with all other vegetation undisturbed. Two control plots were established adjacent to the treatment plots. Plant density was measured annually by species in a fixed 1m x 1m quadrat in the center of treatment and control plots. For clonal species, an individual plant was defined as a group of tillers connected by a crown Coffin & Lauenroth 1988, Fair et al. 1999). Seedlings were counted as separate individuals. In the same quadrat, basal cover by species, bare soil, and litter were estimated annually using a point frame. A total of 40 points were read from four locations halfway between the center point and corners of the 1m x 1m quadrat. Density was measured from 1998 to 2005 and cover from 1997 to 2006. All measurements were taken in late June/early July. </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-sgs&identifier=702">https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=702</a> </p><p>Webpage with information and links to data files for download</p></li></ul><p></p>

Tags: ars, blue-grama, data-gov, density, disturbance, np215, nsf-lterlong-term-ecological-research, plants, population-dynamics, populations, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-215-pasture-fo
Organization: Department of Agriculture
SGS-LTER Standard Production Data: 2009-2012 Annual Aboveground Net Primary Production on the Central Plains Experimental Range, Nunn, Colorado, USA 2009-2012, ARS Study Number 6

<p>This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (<a href="http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429">http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429</a>). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
The objective of the long-term ANPP study is to monitor long-term net above ground primary production of the shortgrass steppe community by functional group. There are 6 sites: ridgetop (ridge), midslope (mid), swale, ESA (replicate 1 not 2), Section 25 (SEC 25), and owl-creek (OC). Each site is located in a different landscape position or soil type on the shortgrass steppe and may be grazed or not. Ridgetop, midslope and swale are grazed and are sampled along a catena. Section 25 is grazed and is located in an upload grassland. ESA is an ungrazed upland grassland an is the control from the Ecosystem Stress Area experiment. Owl Creek is ungrazed and is located in the lowland along the owl creek drainage. There are 3 transects with 5 plots in each transect. Plots in the grazed locations are protected by cages. Because this is a monitoring effort, true replicates across the landscape are not available and it is recommended that the transect be used in calculating mean production at each sampling location. </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-sgs&identifier=701">https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=701</a> </p><p>Webpage with information and links to data files for download</p></li></ul><p></p>

Tags: aboveground-net-primary-productivitiy, ars, biomass, data-gov, np215, nsf-lterlong-term-ecological-research, plants, populations, primary-production, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-215-pasture-fo
Organization: Department of Agriculture
SGS-LTER Standard Production Data: 1983-2008 Annual Aboveground Net Primary Production on the Central Plains Experimental Range, Nunn, Colorado, USA 1983-2008, ARS Study Number 6

<p>This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (<a href="http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429">http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429</a>). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection.
The objective of the long-term ANPP study is to monitor long-term net above ground primary production of the shortgrass steppe community by species. There are 6 sites: ridgetop (ridge), midslope (mid), swale, ESA (replicate 1 not 2), Section 25 (SEC 25), and owl-creek (OC). Each site is located in a different landscape position or soil type on the shortgrass steppe and may be grazed or not. Ridgetop, midslope and swale are grazed and are sampled along a catena. Section 25 is grazed and is located in an upload grassland. ESA is an ungrazed upland grassland an is the control from the Ecosystem Stress Area experiment. Owl Creek is ungrazed and is located in the lowland along the owl creek drainage. There are 3 transects with 5 plots in each transect. Plots in the grazed locations are protected by cages. Because this is a monitoring effort, true replicates across the landscape are not available and it is recommended that the transect be used in calculating mean production at each sampling location. </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-sgs&identifier=700">https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sgs&identifier=700</a> </p><p>Webpage with information and links to data files for download</p></li></ul><p></p>

Tags: aboveground-net-primary-productivity, ars, biomass, data-gov, np215, nsf-lterlong-term-ecological-research, plants, populations, primary-production, usda-ars-natural-resources-and-sustainable-agricultural-systems-national-program-215-pasture-fo
Organization: Department of Agriculture
Delta Food Outlets Study

<p>The Delta Food Outlets Study was an observational study designed to assess the nutritional environments of 5 towns located in the Lower Mississippi Delta region of Mississippi. It was an ancillary study to the Delta Healthy Sprouts Project and therefore included towns in which Delta Healthy Sprouts participants resided and that contained at least one convenience (corner) store, grocery store, or gas station. Data were collected via electronic surveys between March 2016 and September 2018 using the Nutrition Environment Measures Survey (NEMS) tools. Survey scores for the NEMS Corner Store, NEMS Grocery Store, and NEMS Restaurant were computed using modified scoring algorithms provided for these tools via SAS software programming. Because the towns were not randomly selected and the sample sizes are relatively small, the data may not be generalizable to all rural towns in the Lower Mississippi Delta region of Mississippi.</p>
<p>Dataset one (NEMS-C) contains data collected with the NEMS Corner (convenience) Store tool.
Dataset two (NEMS-G) contains data collected with the NEMS Grocery Store tool.
Dataset three (NEMS-R) contains data collected with the NEMS Restaurant tool.</p>
<div><br>Resources in this dataset:</div><br><ul><li><p>Resource Title: Delta Food Outlets Data Dictionary.</p> <p>File Name: DFO_DataDictionary_Public.csv</p><p>Resource Description: This file contains the data dictionary for all 3 datasets that are part of the Delta Food Outlets Study.</p><p>Resource Software Recommended: Microsoft Excel,url: <a href="https://products.office.com/en-us/excel" target="_blank">https://products.office.com/en-us/excel</a> </p></li><br><li><p>Resource Title: Dataset One NEMS-C.</p> <p>File Name: NEMS-C Data.csv</p><p>Resource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for convenience stores.</p><p>Resource Software Recommended: Microsoft Excel,url: <a href="https://products.office.com/en-us/excel" target="_blank">https://products.office.com/en-us/excel</a> </p></li><br><li><p>Resource Title: Dataset Two NEMS-G.</p> <p>File Name: NEMS-G Data.csv</p><p>Resource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for grocery stores.</p><p>Resource Software Recommended: Microsoft Excel,url: <a href="https://products.office.com/en-us/excel" target="_blank">https://products.office.com/en-us/excel</a> </p></li><br><li><p>Resource Title: Dataset Three NEMS-R.</p> <p>File Name: NEMS-R Data.csv</p><p>Resource Description: This file contains data collected with the Nutrition Environment Measures Survey (NEMS) tool for restaurants.</p><p>Resource Software Recommended: Microsoft Excel,url: <a href="https://products.office.com/en-us/excel" target="_blank">https://products.office.com/en-us/excel</a> </p></li></ul>

Tags: ars, assessment, convenience-stores, data-gov, grocery-stores, lower-mississippi-delta, np107, nutrition-environment, restaurants, rural
Organization: Department of Agriculture