AndreaBozzo/ceres-open-data-index huggingface dataset:
WV Marcellus Wells - Permitted Episodes

Map layers associated with the Marcellus Shale in the interactive mapping system include various Onondaga map layers. This is confusing to many users--i.e., why don't we use maps showing the Marcellus structure? The answer is simple--because we don't yet have those specific map layers for the Marcellus Shale. In order to provide this geological information, we are using map layers created for adjacent stratigraphic units to provide approximately similar information as for the Marcellus. 

Structure Map Layers - The Onondaga Limestone and equivalent units underlie the Marcellus Shale. The top of the Onondaga Limestone and equivalents is approximately equal to the base of the Marcellus Shale. So, a map showing the structure on the top of the Onondaga Limestone provides essentially the same information as a structure map on the base of the Marcellus Shale. 


Tags: Energy Infrastructure, Geographic, Natural Gas, Oil, Oil Shale, Oil and Gas, Resource, Shale Gas, Shale Oil, WV, Wells, West Virginia, maps, marcellus shale, permitted episode
WV Marcellus Wells - Completed Episodes

Map layers associated with the Marcellus Shale in the interactive mapping system include various Onondaga map layers. This is confusing to many users--i.e., why don't we use maps showing the Marcellus structure? The answer is simple--because we don't yet have those specific map layers for the Marcellus Shale. In order to provide this geological information, we are using map layers created for adjacent stratigraphic units to provide approximately similar information as for the Marcellus. 

Structure Map Layers - The Onondaga Limestone and equivalent units underlie the Marcellus Shale. The top of the Onondaga Limestone and equivalents is approximately equal to the base of the Marcellus Shale. So, a map showing the structure on the top of the Onondaga Limestone provides essentially the same information as a structure map on the base of the Marcellus Shale. 


Tags: Energy Infrastructure, GIS, Geographic, Marcellus, Oil and Gas, Wells, onondaga, shale, wells
National Geophysical Data Center

 NGDC's Vision is to be the world's leading provider of geophysical and environmental data, information, and products.   The National Geophysical Data Center (NGDC), located in Boulder, Colorado, is a part of the US Department of Commerce (USDOC), National Oceanic & Atmospheric Administration (NOAA), National Environmental Satellite, Data and Information Service (NESDIS). We are one of three NOAA National Data Centers.   NGDC's Mission is to provide long-term scientific data stewardship for the Nation's geophysical data, ensuring quality, integrity, and accessibility.   NGDC provides stewardship, products and services for geophysical data describing the solid earth, marine, and solar-terrestrial environment, as well as earth observations from space.   NGDC's data holdings currently contain more than 400 digital and analog databases, some of which are very large. As technology advances, so does the search for more efficient ways of preserving these data.   NGDC works closely with contributors of scientific data to prepare documented, reliable data sets. We welcome cooperative projects with other government agencies, nonprofit organizations, and universities, and encourage data exchange.  

Tags: Atmospheric, Earth Observations, Geomagnetic Data, Geophysics, Global Relief, Marine, Marine Geology, Natural Hazards, Solar Events, Space Weather, bathymetry, geology, geophysics, marine
WV DEP Oil an Gas Well Production Data

Oil and gas production data is reported to the WVDEP once per calender year, due on March 31st. 

The oil and gas related data originate from the information reported to the Office of Oil and Gas at WVDEP by West Virginia oil and gas operators. The WVDEP does not guarantee their accuracy, precision, or completeness. 

Tags: Data, WV, WVDEP, Well Data, West Virginia, gas production, gas well, oil well, well production
Ultra-Deepwater

Ultra-Deepwater (UDW) energy resources research through NETL’s Office of Research & Development (ORD) is focused on developing a scientific base for predicting and quantifying potential risks associated with exploration and production in extreme offshore environments. The overarching goal of all projects in the UDW portfolio is to prevent and improve response efforts related to offshore hydrocarbon spills. 


Tags: Energy Infrastructure, Gas, NETL, Oil, Oil and Gas, Types, UDW, Ultra-Deepwater, Well Data, Wells, hydrocarbon, offshore, portfolios, risks, spill
RBDMSNET

	The Ground Water Protection Council (GWPC) developed the Risk Based Data Management System (RBDMS) for regulatory agencies to use in managing and analyzing oil and gas program data and water resources management information. The GWPC’s approach to increasing data availability through the RBDMS and its Web interfaces focuses on partnering with federal and state agencies, industry groups, and citizens.
	Since the program’s inception in 1992, the development of the award-winning RBDMS software has been underwritten through grants from the Department of Energy. Matching funding has been provided by state agencies in the forms of both donated, in-kind services and direct funding. Originally developed in Access version 1.1, RBDMS has evolved to the latest .NET technologies and has been adopted as a national standard.
	RBDMS.NET combines the best aspects of the e-commerce initiative’s Web interfaces: full-text searching, integrated GIS, automated notifications, and security that can be configured through defined system roles and user profiles. The same application is used both within agency offices and for field inspection. The result provides immediate access to data for purposes of area trend analyses, well and mine history tracking (ownership, bonding, permitting, location, construction, inspection, production, and plugging/ restoration), compliance monitoring, and complaint adjudication. The GWPC is now overseeing rollouts in Mississippi and Oklahoma. Other agencies also are planning to upgrade to RBDMS.NET.
	RBDMS.NET Web interfaces have been installed in many agencies, greatly leveraging efficiency in mission-critical tasks such as reporting UIC data directly to EPA from RBDMS, automating the collection of production and disposition data from operators, and offering electronic permitting of oil and gas wells.
	RBDMS development has historically been and continues to be directed by RBDMS states. Ongoing RBDMS development, legacy data conversion and migration, and system setup efforts in multiple states are overseen by both the GWPC and the RBDMS Technical Committee, a users’ group whose participation is drawn from multiple states.
	In addition to telephone and remote [Terminal Services and/or Virtual Private Network (VPN)] help desk support, GWPC provides user support, code sharing, and development updates through peer-to-peer networking, bi-annual training meetings, open-attendance weekly conference calls, and an interactive feature request site.


Tags: GWPC, Ground Water Protection Council, gas, injection well, oil, permitting, underground, water, water protection
WV Topographic Maps USGS 124000 Scale

  A Digital Raster Graphic (DRG) is a scanned image of a U.S. Geological Survey (USGS) topographic map. An unclipped scanned image includes all marginal information, while a clipped or seamless scanned image clips off the collar information. DRGs may be used as a source or background layer in a geographic information system, as a means to perform quality assurance on other digital products, and as a source for the collection and revision of digital line graph data. The DRGs also can be merged with other digital data (e.g., digital elevation model or digital orthophotoquad data), to produce a hybrid digital file.    The output resolution of a DRG varies from 250 to 500 dots per inch. The horizontal positional accuracy of the DRG matches the accuracy of the published source map. To be consistent with other USGS digital data, the image is cast on the UTM projection, and therefore, will not always be consistent with the credit note on the image collar. Only the area inside the map neatline is georeferenced, so minor distortion of the text may occur in the map collar. Refer to the scanned map collar or online Map List for the currentness of the DRG.  

Tags: Geographic, Geology, Topographical, WV, West Virginia, elevation, map, topography
PA Marcellus Shale Assessment Unit - National Assessment of Oil and Gas Project - Appalachian Basin Province 067 Assessment Units

 The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown here as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary.  

Tags: Geology, Marcellus Shale, Natural Gas, Oil, Oil Shale, PA, Pennsylvania, Resource, Shale Gas, Shale Oil, assessment, gas, oil, well
WV Oil and Gas Wells

  The Office of Oil and Gas maintains records on over 40,000 active and 25,000 inactive oil and gas wells. It also manages the Abandoned Well Plugging and Reclamation Program.    Primary Data sources: WV Department of Environmental Protection's Office of Oil and Gas and WV Geological and Economic Survey.  

Tags: Gas, Natural Gas, Oil, Resource, Types, WV, Well Data, West Virginia, gas, oil, wells
MITAS 2009 CHN and Carbon Isotope Data

MITAS 2009 CHN and Carbon Isotope Data

METHODS

CHN Elemental Analysis:
Sample preparation and analytical methods for the Total Organic Carbon (TOC), Total Nitrogen (TN), and Inorganic Carbon (IC) data shown here are described in Phillips et al. (2011).  For the MITAS CHN data set, approximately 1 cm3 of bulk sediment was collected from selected downcore depths in the sediment cores and used for both CHN measurement on the Perkin Elmer 2400 Series II CHNS Elemental Analyzer in the Department of Earth Sciences at UNH and carbon isotopes measured at the UNH Stable Isotope Lab (described below).   For the analyses presented here, we have used the CHNS analyzer to measure Total Carbon (TC) and TN first and then the TOC, after acidification with sulfurous acid.  IC values are calculated by difference, where IC = TC-TOC.   Duplicate measurements were made approximately every 10 samples as run through the CHN Analyzer.  Values shown for TOC, TN, and IC, include a 2 sigma range for the replicates.  CaCO3 is calculated using the formula weight assuming all of the IC measured in the sample exists as calcium carbonate.  The TOC/TN is provided as a first order proxy for the source of the organic matter. 

Phillips, S.C., Johnson, J.E., Miranda, E., Disenhof, C., 2011, Improving CHN measurements in carbonate-rich marine sediments. Limnology and Oceanography: Methods, vol 9, pp. 194-203, DOI 10:4319/lom.2011.9.194.

Carbon Isotopes:
Sample preparation and analytical methods for the organic carbon isotope measurements include the following.   Acidification of bulk sediment samples from the cores using sulfurous acid to remove any CaCO3 components.  The residual, CaCO3-free, bulk sediment sample was then measured in the UNH Stable Isotope Laboratory using a Thermo Finnegan DeltaPlus isotope ratio mass spectrometer (IR-MS) interfaced with a Conflo III interface system to a Costech ECS 4010 Elemental Analyzer.  Organic carbon from the sample was combusted in the elemental analyzer and the resulting CO2 was pumped to the IR-MS where 13C and 12C were separated and measured.   Peak areas of 13C and 12C were used to calculate isotope ratios with respect to the Pee Dee Belemnite (PDB) reference standard for calculations of the δ13C values reported in the data table.  The δ13C values when paired with the TOC/TN provide a robust indication of the organic matter source.   Similar to the CHN measurements, duplicate samples were run approximately every 10 samples and reported as a mean with a 2 sigma range.

CONTACT
Joel E. Johnson, Associate Professor
University of New Hampshire
Department of Earth Sciences
56 College Rd. James Hall 214
Durham, NH 03824
joel.johnson@unh.edu


Tags: CHN Analysis, Carbon Isotope, Fluids, Geochemistry, Geology, MITAS, Pore Water, Solids
WV Streams - High Quality

The stream listing was prepared by district fisheries biologists with the WVDNR's Wildlife Resources Section in cooperation with the Natural Resources Conservation Service and other state and federal agencies. Criteria for selection are (1) streams with native or stocked populations of trout and (2) warm water streams five or more miles in length with desirable fish populations that are utilized by the public.
 
This information is made available to agencies involved in projects that may cause stream disturbances in order to highlight the importance of avoiding activities that impact fish populations, especially trout. The high quality streams dataset is a subset of the National Hydrography Dataset (NHD) for West Virginia. WVDNR provided these data in the form of event tables in an ESRI personal geodatabase. WV GIS Technical Center personnel converted the event tables to feature classes, which were then exported as shapefiles. Separate watershed shapefiles and a single merged file are available for download. 

Tags: Fresh, GNIS, Geographic, Navigable Waterways, Resource, Transportation, Water, resource, stream name, streams, water
GOM Seafloor Geology

This zip file contains the sediment samplings, inspections and probings from the usSEABED data collection and integrated using the software system dbSEABED. This data layer represents the extracted (EXT) output of the dbSEABED mining software. It contains data items which were simply extracted from the data resources through data mining. The EXT data is usually based on instrumental analyses (probe or laboratory) but may apply to just a subsample of the sediment (eg. no large shells). Data provided from the U.S. Geological Survey and the University of Colorado (available online at: http://pubs.usgs.gov/ds/2006/146/data/gmx_ext.zip)

Tags: Biological Oceanography, Geology, Grain Size, Gulf of Mexico, Lithology, Marine, Marine Habitat, Physical Oceanography, Seabed Features, geology, seafloor
Precipitation of Arsenic Trisulfide by Desulfotomaculum auripigmentum

A newly discovered bacterium, Desulfotomaculum auripigmentum, precipitates arsenic trisulfide (As2S3). Precipitation of As2S3 by this organism results from its reduction of As(V) to As(III) and S(VI) to S(2II). At the As(III) concentration range of interest (0.1 to 1 mM), the stability of As2S3 is highly sensitive to pH and
[S(2II)]. Thus, the relative rates at which D. auripigmentum reduces As(V) and S(VI) are critical to its formation of As2S3. Other As(V)- or S(VI)-reducing bacteria are unable to precipitate As2S3 either due to their inability to reduce both As(V) and S(VI) or because they reduce S(VI) too rapidly. Electron microscopy of thin sections showed that the precipitate forms both intra- and extracellularly. Microbial As2S3 formation nucleates precipitation of the mineral in the bulk milieu, whereas heat-killed cells alone do not serve as templates for its formation. Precipitation of As2S3 by D. auripigmentum suggests that As2S3 formation may be important in the biogeochemical cycle of arsenic.

Tags: Biologic, Desulfotomaculum auripigmentum, Geology, marcellus shale, task 9
Pennsylvania Spatial Data: Soil Survey Geographic (SSURGO) database for Monroe County

From the site: "This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties."

Tags: Geographic, Geology, Monroe County, PASDA, Pennsylvania, Soils, data, download, gis, soil, soil survey