AndreaBozzo/ceres-open-data-index huggingface dataset:
Metadata statement for Gustin et al. 2020

This publication is an introductory/summary paper to a virtual special issue of the journal Science of the Total Environment titled: Advances in Mercury Research--Reviews of Recent Advances in Mercury Research and Understanding the Biogeochemical Cycle. 

The special issue contained 11 Research Articles that focused on different aspects of mercury cycling.  All these papers were “review papers” and relied on synthesizing conclusions from existing published research and did not involve any direct data collection.  

The Gustin et al, 2020 paper (which is associated with this Metadata Statement) provides an introduction to the journal’s special issue and briefly summarizes the primary conclusions from the other 11 papers. Therefore, there are not any datasets associated with this publication. This dataset is not publicly accessible because: This publication is an introductory/summary paper to a virtual special issue of the journal Science of the Total Environment titled: Advances in Mercury Research--Reviews of Recent Advances in Mercury Research and Understanding the Biogeochemical Cycle. 

The special issue contained 11 Research Articles that focused on different aspects of mercury cycling.  All these papers were “review papers” and relied on synthesizing conclusions from existing published research and did not involve any direct data collection.  

The Gustin et al, 2020 paper (which is associated with this Metadata Statement) provides an introduction to the journal’s special issue and briefly summarizes the primary conclusions from the other 11 papers. Therefore, there are not any datasets associated with this publication. It can be accessed through the following means: This paper does not include any data. Format: This paper does not include any data. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

Tags: mercury
Organization: U.S. Environmental Protection Agency
TIGER/Line Shapefile, 2019, Series Information for the  Address Ranges County-based Relationship File

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic
                information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and
                Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between
                parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to
                cover the entire nation.
                
                The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range.  Each address range applies
                to a single edge and has a unique address range identifier (ARID) value.  The edge to which an address range applies can be
                determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge
                identifier (TLID) attribute.  Multiple address ranges can apply to the same edge since an edge can have multiple address
                ranges.  Note that the most inclusive address range associated with each side of a street edge already appears in the All
                Lines Shapefile (EDGES.shp).  The TIGER/Line Files contain potential address ranges, not individual addresses.  The term
                "address range" refers to the collection of all possible structure numbers from the first structure number to the last
                structure number and all numbers of a specified parity in between along an edge side relative to the direction in which
                the edge is coded.  The address ranges in the TIGER/Line Files are potential ranges that include the full range of
                possible structure numbers even though the actual structures may not exist.  

Tags: 5-digit zip code, county fips code, county gnis code, from house number, permanent edge id, side indicator flag, state fips code, state gnis code, to house number, u.s, united states, zip +4 code
Organization: U.S. Census Bureau, Department of Commerce
Lake Michigan Ozone Study Data Sets

This EPA SH entry contains the link to the public archive for all datasets collected by EPA and collaborators for the Lake Michigan Ozone Study conducted in 2017.   The archive resides at NASA Langley Research Center.   EPA-ORD data sets can be found by clicking on the individual site tabs on the main LMOS archive webpage and EPA-ORD will be listed at the PI.

Tags: geotaso, lake-breeze, nitrogen-dioxide-columns, ozone, pandora-spectrometer
Organization: U.S. Environmental Protection Agency
Model evaluation of dry deposition of oxygenated volatile organic compounds

This dataset includes a data dictionary, tables of physicochemical characteristics of the oxygenated volatile organic compounds evaluated with the updated dry deposition model and statistical results of the model comparison with observed dry deposition measurements. Data used in manuscript figures describing comparisons of modeled versus measured deposition velocities and resistances are also included. 

This dataset is associated with the following publication:
Wu, Z., L. Zhang, J. Walker, P. Makar, J. Perlinger, and X. Wang. Extension of a gaseous dry deposition algorithm to oxidized volatile organic compounds and hydrogen cyanide for application in chemistry transport models.   Journal of Advances in Modeling Earth Systems. John Wiley & Sons, Inc., Hoboken, NJ, USA, 14(8): 5093-5105, (2021).

Tags: bidirectional-flux, deposition, micrometeorology, nitrogen, sulfur
Organization: U.S. Environmental Protection Agency
H12155: NOS Hydrographic Survey , Georgetown, South Carolina, 2010-05-10

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, georgetown, 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, seafloor topography, sediment composition, ships, sonar, sound navigation and ranging, south carolina, u.s. department of commerce, united states of america, water depth, winyah bay and waccamaw river
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12117: NOS Hydrographic Survey , Miami to Port Everglades, Florida, 2008-08-24

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: active remote sensing, aircraft, bathymetry, bathymetry/seafloor topography, broward county, continent, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, florida, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), lidar/laser sounders, marine sediments, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, pompano beach to dania beach, profilers/sounders, seafloor topography, sediment composition, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12194: NOS Hydrographic Survey , NW Approach to Key West, Florida, 2010-08-25

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, florida, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, gulf of mexico, 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 entrance to boca grande channel, 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
H12192: NOS Hydrographic Survey , NW Approach to Key West, Florida, 2010-08-25

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, florida, global positioning system/inertial measurement unit, gps, gps receivers, gps/imu, gulf of mexico, 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, seafloor topography, sediment composition, ships, smith shoal, 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
Evaluating Area-Volume Relationships after Mass Wasting Event, NC 2020

This lidar dataset was collected as part of an NCALM Seed grant for Corey Scheip at  North Carolina State University.  This study used airborne lidar to evaluate regional landslide area-volume scaling relationships after a large rainfall-triggered mass wasting event in western North Carolina.  The study area covers approximately 78 km 2 near Hendersonville, North Carolina.

Organization: OpenTopography
Topography of Normal Faults in the Volcanic Tablelands, CA 2018

This dataset contains high resolution topography and orthomosaic imagery along three normal fault scarps in the Volcanic Tablelands near Bishop in Eastern California. In the Volcanic Tablelands, normal faults create prominent scarps that offset the Bishop Tuff. This area has been the focus of a number of studies on fault zone structural geology and geomorphology.  Data was collected via uncrewed aerial vehicle (UAV) imagery over a number of faults in the Volcanic Tablelands. Data products include: point clouds, digital surface models (DSMs), and orthomosaics using structure-from-motion (SfM) techniques.

Organization: OpenTopography
Whanganui Urban, Manawatu-Whanganui, New Zealand 2020-2021

Lidar was captured for Whanganui District Council by Aerial Surveys in 2020-2021.  The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Whanganui and the surrounding area. Data management and distribution is by Land Information New Zealand.

Organization: OpenTopography
Queenstown, Otago, New Zealand 2021

Lidar was captured for Queenstown Lakes District Council by Landpro Ltd between 13 to 14 March 2021. The dataset was generated by Landpro Ltd. The survey area includes Queenstown and Arrowtown, as well as the surrounding residential area. Data management and distribution is by Toit&#363; Te Whenua Land Information New Zealand (LINZ).

Organization: OpenTopography
European Centre for Medium-Range Weather Forecasts

Global sea surface temperature (SST) anomalies can affect terrestrial precipitation via ocean-atmosphere interaction known as climate teleconnection. Non-stationary and non-linear characteristics of the ocean-atmosphere system make the identification of the teleconnection signals difficult to be detected at a local scale as it could cause large uncertainties when using linear correlation analysis only. This paper explores the relationship between global SST and terrestrial precipitation with respect to long-term non-stationary teleconnection signals during 1981-2010 over three regions in North America and one in Central America. Empirical mode decomposition as well as wavelet analysis is utilized to extract the intrinsic trend and the dominant oscillation of the SST and precipitation time series in sequence.  After finding possible associations between the dominant oscillation of seasonal precipitation and global SST through lagged correlation analysis, the statistically significant SST regions are extracted based on the correlation coefficient. With these characterized associations, individual contribution of these SST forcing regions linked to the related precipitation responses are further quantified through nonlinear modeling with the aid of extreme learning machine. Results indicate that the non-leading SST regions also contribute a salient portion to the terrestrial precipitation variability compared to some known leading SST regions. In some cases, these estimated contributions reveals some clues of the coupling interactions between oceanic and atmospheric processes. 

This dataset is associated with the following publication:
Chang, N., S. Imen, K. Bai, and J. Yang. Multi-scale Quantitative Precipitation Forecasting Using Nonlinear and Nonstationary Teleconnection Signals and Artificial Neural Network Models.   JOURNAL OF HYDROLOGY. Elsevier Science Ltd, New York, NY, USA, 548: 305-321, (2017).

Tags: central-america, climate-change, north-america, precipitation, sea-surface-temperature, teleconnection
Organization: U.S. Environmental Protection Agency
Development, validation and integration of in silico models to identify androgen active chemicals

A diverse data set of 1667 chemicals with AR experimental activity were provided by the U.S. EPA from the oxicity Forecaster (ToxCast) program which generates data using in vitro high-throughput screening (HTS) assays measuring activity of chemicals at multiple points along the androgen receptor (AR) activity pathway.  The Endocrine Disruptor Knowledgebase (EDKB) androgen receptor (AR) binding data set (Fang et al., 2003) was downloaded from the FDA website and was produced expressly as a training set designed for developing predictive models. The data is based on a validated assay using recombinant AR. The dataset contains 146 AR binders and 56 non-AR binders. These training set chemicals were selected for both chemical structure diversity and range of activity, both of which are essential to develop robust QSAR and other models (Perkins, 2003). 

This dataset is associated with the following publication:
Manganelli, S., A. Roncaglioni, K. Mansouri, R. Judson, E. Benfenati, A. Manganaro, and P. Ruiz. Development, validation and integration of in silico models to identify androgen active chemicals.   CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 220: 204-215, (2019).

Tags: actor, androgen-receptor, articial-neural-networks, decision-tree, endocrine-disrupting-chemicals, high-throughput-screening, in-silico, support-vector-machines
Organization: U.S. Environmental Protection Agency
NaKnowBase-SQL backend-080121

Engineered nanomaterials (generally defined as being 1-100 nm is size) take on unique activities due to their small size, reactivity, and high surface area to mass ratio.  While these properties can be highly desirable for the intended function of the materials and the products produced from them, they may also cause undesirable activity in environmental or biological systems.  EPA program offices, faced with applications for novel engineered nanomaterials, need access to relevant data to help predict potential environmental/biological interactions of nanomaterials based on their physio-chemical properties and the intended uses of novel materials.  We have developed a relational database containing the results from the Office of Research and Development (ORD) regarding the actions of engineered nanomaterials in environmental and biological systems.   The database captures the chemical and physical parameters of the materials tested, the assays in which they were tested, and the measured results.  The database is designed to enable selective searches of nanomaterials based on physical/chemical parameters such as composition, size, coatings, etc, the system in which they were tested, and the quantitative results obtained.  For example, a user would be able to access information on materials of similar composition, size range, reactivity, or other properties measured, and see what results were observed. For example, users can implement observed results for modeling and prediction for similar nanomaterials using quantitative structure activity relationships and other sophisticated modeling approaches. 

Tags: nanomaterial, physical-chemical-properties, relational-database
Organization: U.S. Environmental Protection Agency
The Chesapeake Bay Program Modelling System: Overview and Recommendations for Future Development

This manuscript is an overview of the Chesapeake Bay Modeling system and uses public datasets from Phase 6 of the Chesapeake Bay model (https://www.chesapeakebay.net/what/publications_and_data) and data from previously published manuscripts, detailed within the citations of the manuscript. 

This dataset is associated with the following publication:
Hood, R., G. Shenk, R. Dixon, S. Smith, W. Ball, J. Bash, R. Batiuk, K. Boomer, D. Brady, C. Cerco, P. Claggett, K. de Mutsert, Z. Easton, A. Elmore, M. Friedrichs, L. Harris, T. Ihde, L. Lacher, L. Li, L. Linker, A. Miller, J. Moriarty, G. Noe, G. Onyullo, K. Rose, K. Skalak, R. Tian, T. Veith, L. Wainger, D. Weller, and Y. Zhang. The Chesapeake Bay Program Modelling System: Overview and Recommendations for Future Development.   ECOLOGICAL MODELLING. Elsevier Science BV, Amsterdam,  NETHERLANDS, 465: 109635, (2021).

Tags: atmospheric-deposition, chesapeake-bay, hypoxia, land-use-land-cover-change, nitrogen, water-quality
Organization: U.S. Environmental Protection Agency
San_Juan_PR_mangrove_cores_2016_AR_DBD_CN_isotopes

Dataset provides mangrove soil accretion rates, dry bulk density, %carbon, %nitrogen, nitrogen, carbon and sulfur stable isotopes from 5 sites in the San Juan Bay Estuary, Puerto Rico.

Tags: anthropogenic-stressors, coastal-kidney, mangrove-forest, nitrogen-accumulation, nitrogen-storage, rapid-urbanization, urban-mangrove, wastewater
Organization: U.S. Environmental Protection Agency
H12378: NOS Hydrographic Survey , Florida Keys National Marine Sanctuary, Florida, 2011-11-15

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: active remote sensing, aircraft, bathymetry, bathymetry/seafloor topography, continent, cosgrove shoals to coalbin rock, doc/noaa/nesdis/ncei, doc/noaa/nesdis/ngdc, earth remote sensing instruments, earth science, florida, florida keys national marine sanctuary, hydrographic surveys for selected locations within the united states (hydro_bathy_2006), lidar/laser sounders, marine sediments, national centers for environmental information, national geophysical data center, nesdis, noaa, north america, ocean, oceans, profilers/sounders, seafloor topography, sediment composition, u.s. department of commerce, united states of america, water depth
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
H12358: NOS Hydrographic Survey , 2014-05-27

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, fl, florida, 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, panama city, 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, west bay
Organization: National Oceanic and Atmospheric Administration, Department of Commerce