Filters: Types: OGC WMS Service (X) > Types: OGC WFS Layer (X)
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This collection includes paper originals and photocopies of reports beginning in 1936, and PDF scans of these reports, up to 1995. In more recent years, this information is available from the Wisconsin DNR via a computer database. Materials are arranged by county and PLSS locations. There are 326,385 well construction reports in this collection.
Categories: Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ndc_collection
The Montana Bureau of Mines and Geology (MBMG) Mining Property File collection was amassed over the years through private and industry donations of engineering and geologic reports, pictures, correspondence, news clippings, and production information. The collection presently contains over 4,400 property-specific files (records). The physical files are organized first by Montana county and then by mine or project name. Files may contain information related to a particular mining claim, a collection of claims, or a mining exploration project. Metadata describing each record includes property name, location (county, historical mining district, township, range and section), georeferences (latitude and longitude), and...
Categories: Data,
Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ndc_collection
This dataset represents the consolidated submissions for mineral material disposal site data from BLM states responding to the WO 300 data call during the time period of November 2011 through May 2012. It is intended solely for use in the GRSG cumulative ...
Daily HOBO Pro V.2 soil temperature measurements at the Great Dismal Swamp National Wildlife Refuge (2015-2017). Data collected in Great Dismal Swamp National Wildlife Refuge in Southern VA and Northern NC from 9 plot sites representing three general forest types: Atlantic White Cedar, Pocosin Pine, and Maple and Gum.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Climate,
Great Dismal Swamp National Wildlife Refuge,
Soil Sciences,
USGS Science Data Catalog (SDC),
Wetland
The U.S. Geological Survey (USGS) in cooperation with the Harris‐Galveston Subsidence District, City of Houston, Fort Bend Subsidence District, and Lone Star Groundwater Conservation District has produced this dataset of groundwater‐level altitudes and groundwater‐level altitude changes in the Chicot, Evangeline, and Jasper aquifers in the Houston‐Galveston region, Texas. This dataset shows current‐year (2018) groundwater‐level altitudes for each aquifer, 5‐year (2013‐18) groundwater‐level changes for each aquifer, long‐term (1990‐2018 and 1977‐2018) groundwater‐level changes for the Chicot and Evangeline aquifers, and long‐term (2000‐2018) groundwater‐level change for the Jasper aquifer. The groundwater‐level measurements...
This collection contains scanned brine analyses records collected with Kentucky oil and gas well drilling activity.
Categories: Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Kentucky,
ndc_collection
Continuous bedrock core from about 50 sites across CT. Stored in 1100 boxes. This collection has been rescued three times since its formation in the late 1980's. Formerly administrative responsibility was shared between the University of Connecticut Dept. of Geology and Geophysics (now disbanded) and the Dept. of Environmental Protection, Geological and Natural History Survey. The State Survey now houses the collection and is the sole administrator.
Categories: Data,
Physical Item;
Types: Collection,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Physical Geoscience,
Professional Researchers,
Reference,
Research,
Rock cores,
This child page contains eight csv files, site_flow, which contain daily streamflow values for each site. Each file includes a station identifier, date of observation, measured value of streamflow and qualifier code for the measured value. The format of the csv file (date format and column headings) is designed to meet the specific requirements of file format for R-QWTREND. If csv files are opened directly in excel, the format of the data can change. To ensure the data are in the proper format for R-QWTREND, files should be opened in a text editor. The "site" in site_flow can be cross-referenced to the main report by downloading the zipped folder HRtrend folder from child page, "Scripts to run R-QWTREND models and...
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