USGS Geochron is a database of geochronological and thermochronological dates and data. The USGS Geochron: Data Compilation Templates data release hosts Microsoft Excel-based data compilation templates for the USGS Geochron database. Geochronological and thermochronological methods currently archived in the USGS Geochron database include radiocarbon, cosmogenic (10Be, 26Al, 3He), fission track, (U-Th)/He, U-series, U-Th-Pb, 40Ar/39Ar, K-Ar, Lu-Hf, Rb-Sr, Sm-Nd, and Re-Os dating methods. For questions or to submit data please contact geochron@usgs.gov

This data set is a collection of measurements of carbon dioxide (CO2) and non-CO2 greenhouse gases made across North America by nine independent atmospheric monitoring networks from 2000 - 2009. During this North American Carbon Program (NACP) sponsored activity, data were compiled from the following networks: AGAGE, COBRA, CSIRO, INTEX-A, INTEX B, Irvine Latitude Network, NOAA CMDL, SCRIPPS, and Stanley Tyler-UC Irvine. The files presented here are the products of merging multiple original measurement results files for selected sites across North America from each monitoring network. The primary focus of this effort was the compilation of non-CO2 greenhouse gases over North America, but numerous CO2 observations are also included. The data files for each network are accompanied by detailed readme documentation files prepared by the respective network investigators. Project descriptions, objectives, references, sampling and analysis methods, and data file descriptions are included in these READMEs. Table 1 in the documentation displays the monitoring network sites, sample types, analytes, and links to the detailed network README files. Network- and laboratory-specific data citations are included in the README documentation and should be used to acknowledge the use of these data as appropriate. The data files for each monitoring network and each sampling type (continuous or flasks) have been combined into one compressed (*.zip) file along with the detailed README document. There are 17 compressed files that when expanded contain data files which represent one year�s data for that specific campaign and sampling method. The number of annual files that were compiled from a network into this collection varies.

This data set contains a listing of all the data sets on zooplankton abundance examined in Pacific Marine Arctic Regional Synthesis (PacMARS). These data include collection year and region, gear used (net type, mesh size), project, people collecting the data, and alternative source for the data. This data set provides information on the data sets but not the data itself.

This zip file contains geodatabases with raster mosaic datasets. The raster mosaic datasets consist of georeferenced tiff images of mineral potential maps, their associated metadata, and descriptive information about the images. These images are duplicates of the images found in the georeferenced tiff images zip file. There are four geodatabases containing the raster mosaic datasets, one for each of the four SaMiRA report areas: North-Central Montana; North-Central Idaho; Southwestern and South-Central Wyoming and Bear River Watershed; and Nevada Borderlands. The georeferenced images were clipped to the extent of the map and all explanatory text, gathered from map explanations or report text was imported into the raster mosaic dataset database as ‘Footprint’ layer attributes. The data compiled into the 'Footprint' layer tables contains the figure caption from the original map, online linkage to the source report when available, and information on the assessed commodities accordin ...

Drying has a major impact on pattern and process in streams, particularly in small or headwater streams. Such streams that dry recurrently are called non-perennial streams and represent most of the channel length across river networks. In spite of their prevalence, non-perennial streams are vastly underrepresented in existing stream gaging networks and in maps and hydrographic datasets. However, diverse and spatially extensive datasets of surface water presence observations exist as well as recently developed mobile applications that could help fill the data gap in characterizing the spatial extent of non-perennial streams. Hydrological data from perennial and non-perennial reaches were compiled from a series of studies on headwater streams to expand available data for mapping and modeling efforts in the United States. Hydrologic data within this compilation include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying. These data were compiled across a series of studies on headwater streams (drainage area ~2.6 km2 or less) and were used to characterize their hydrology. Hydrologic data within this compilation are organized into files based on type of hydrologic data and study area. The types of hydrologic data include visually recorded observations of hydrological status (dry, isolated pools, interstitial flow, and continuous surface flow), point measurements of discharge (cubic meters per second), and logger-based measurements for the timing and duration of streamflow and drying. The study areas included in the compilation include headwater streams in Kentucky (Robinson Forest), Illinois (Shawnee National Forest), Indiana (Hoosier National Forest), New Hampshire (Dodge Brook), New York (Balsam Lake Mountain), North Dakota (Pipestem), Ohio (Congress Run, Edgewood Preserve, Edge of Appalachia, Wayne National Forest), South Carolina (Carolina Sandhills, Sugarloaf Mountain, Sumter National Forest Enoree and Long Cane Districts), Tennessee (Big Ridge), Vermont (Hinesburg), Washington (Mt. Baker-Snoqualmie), and West Virginia (Coopers Rock). A more detailed description of the data files are included within the Data description.docx and Data Dictionary for logger data compilation.xlsx files.

This dataset contains all analytical data from controlled ramped heating (CRH) analysis of apatites from the Transantarctic Mountains - this sample suite yields highly dispersed U-Th/He ages which this study addresses. Included are a guide to the dataset, supplementary figures, sample geochemistry, information about methods, a summary of U-Th/He age information, and basic CRH data for all standards and samples.

This dataset is a compilation of carbon and energy eddy covariance flux, meteorology, radiation, canopy temperature, humidity, CO2 profiles and soil moisture and temperature profile data that were collected at nine towers across the Brazilian Amazon. Independent investigators provided the data from a variety of flux tower projects over the period 1999 thru 2006. This is Version 2 of the tower data compilation, where the data have been harmonized across projects, additional quality control checks were performed, and have been aggregated to hourly, daily, 16-day, and monthly timesteps. This integrated dataset is intended to facilitate integrative studies and data-model synthesis from a common reference point.

The carbon isotope fractionation in algal organic matter (Ep), including the long-chain alkenones produced by the coccolithophorid family Noelaerhabdaceae, is used to reconstruct past atmospheric CO2 levels. The conventional proxy linearly relates Ep to changes in cellular carbon demand relative to diffusive CO2 supply, with larger Ep values occurring at lower carbon demand relative to supply (i.e. abundant CO2). However, the response of Gephyrocapsa oceanica, one of the dominant alkenone producers of the last few million years, has not been studied closely. Here we subject G. oceanica to various CO2 levels by increasing pCO2 in the culture headspace, as opposed to increasing dissolved inorganic carbon (DIC) and alkalinity concentrations at constant pH. We note no substantial change in physiology, but observe an increase in Ep as carbon demand relative to supply decreases, consistent with DIC manipulations. We compile existing Noelaerhabdaceae Ep data and show that the diffusive model poorly describes the data. A meta-analysis of individual treatments (unique combinations of lab, strain, and light conditions) shows that the slope of the Ep response depends on the light conditions and range of carbon demand relative to CO2 supply in the treatment, which is incompatible with the diffusive model. We model Ep as a multilinear function of key physiological and environmental variables and find that both photoperiod duration and light intensity are critical parameters, in addition to CO2 and cell size. While alkenone carbon isotope ratios indeed record CO2 information, irradiance and other factors are also necessary to properly describe alkenone Ep.

Methods G. oceanica RCC1303 was cultivated in triplicate batch culture at five different pCO2 levels. CO2 modification was achieved by continuously aerating the headspace of the culture flask. Alkenones were extracted using accelerated solvent extraction and carbon isotope ratios were measured by GC-IRMS. CO2 concentrations were calculated from measurements of pH, total alkalinity, temperature, and salinity. Cell sizes were measured by flow cytometry. Existing data were compiled from the literature. Cell sizes and carbon content were standardized to the middle of the photoperiod, where applicable.

This dataset compiles all available thermochronological and supporting data for the LDP project into one citable entity.

This data release is a compilation of a literature search of published core X-ray diffraction (XRD) data for the Permian Basin Barnett and Woodford Shales, and includes data from: the Reliance Triple Crown 1 (RTC 1) well of Pecos County, Texas; Fasken Fee BM SWD 1 well of Andrews County, Texas; the M G Nevill well of Culberson County, Texas; the Mesquite 1 well of Hamilton County, Texas; the Fasken Fee BK 1514 well of Ector County, Texas; and Ross Draw Unit 5 well of Eddy County, New Mexico. The compiled data help advance the understanding of the stratigraphy, mineralogy, geomechanical properties, and depositional environment of these continuous hydrocarbon reservoirs in both the Midland Basin and Delaware Basin. The XRD data include but are not limited to weight percent (wt%) of albite, apatite, calcite, chlorite, dolomite, feldspar, illite, kaolinite, magnesite, mica, norsethite, orthoclase, plagioclase, pyrite, quartz, siderite, smectite, and total organic carbon (TOC).

The Koyukuk geophysical survey is located in interior Alaska in the Koyukuk mining district, about 300 kilometers north of Fairbanks, Alaska. Frequency domain electromagnetic and magnetic data were collected with the SIGHEM-5 system from August to October 1997. A total of 4223.4 line kilometers were collected covering 533 square kilometers. Line spacing was 400 meters (m). Data were collected 30 m above the ground surface from a helicopter towed sensor platform ("bird") on a 30-m-long line. The data, as well as additional metadata, are available from the DGGS website: http://doi.org/10.14509/30434.

The scope and objectives of this phase of the study are to: (1) Compile and summarize data that have been collected by different agencies and universities on water flow and water quality in tidal creeks and rivers that flow into coastal waters of ENP. (2) Evaluate and use flow and nutrient data from two river index systems (Trout Creek and Shark River) to estimate annual and monthly nutrient flux for a 9-year period (1995-2003). (3) Develop a plan based on results from the two index stations to expand nutrient load estimates for other major stream and river systems of ENP and nearby coastal waters.

This digital dataset contains historical geochemical and other information for 580 samples of groundwater from 12 wells located within the Placerita and Newhall Oil Fields in Los Angeles County, southern California. The sampled wells include 5 monitoring wells (Dataset IDs 1-5) associated with a groundwater remediation site, 6 water-supply wells (Dataset IDs 6-11) used to supply groundwater in support of oil production, and 1 well (Dataset ID 12) constructed as an observation well to monitor water-disposal operations. The groundwater remediation site wells represent a subset of a much larger number of monitoring wells that were selected for inclusion in this dataset because they were perforated within the regional groundwater aquifer, and the geochemistry data for these wells include the greatest variety of constituents available in the data source. The numerical water chemistry data, well locations, and well construction information for Dataset IDs 1-5 were compiled from PDFs (Po ...

This data set contains discrete temperature measurements from several hydrothermal vents (Biovent, Mvent, Bio9 vents, Pvent, Lvent) located along the East Pacific Rise (EPR) near 9°50'N. The compilation contains legacy data along with data from cruises AT42-06, AT42-21, RR2102, AT50-07, AT50-21, AT50-33, and AT50-36. The data file is in EXCEL spreadsheet format and were collected with temperature probes and autonomous temperature loggers. The data compilation was funded through awards OCE-1834797, OCE-1949485, OCE-1949938, OCE-1948936, ANR-24-CE56-6841 (Project OMENS), ERC-10117070619 (Project SeaSALT).

These MATLAB scripts may be used to combine the vent-specific time-series temperature data into merged files. EPR_Thist_save_master_VentA.m: MATLAB script to merge all available time-series files for the vent, along with discrete measurements from the associated data file called "EPR_punctual_Tdata_compilation_all_tbarreyre.xlsx", into one combined temperature record. The scripts were developed with funding from awards OCE-1834797, OCE-1949485, OCE-1949938, OCE-1948936, ANR-24-CE56-6841 (Project OMENS), ERC-10117070619 (Project SeaSALT).

This digital dataset contains historical geochemical and other information for 89 samples of produced water from 84 sites in the Santa Maria Valley Oil Field in Santa Barbara County, California. Produced water is a term used in the oil industry to describe water that is produced from oil wells as a byproduct along with the oil and gas. Additionally, 3 samples from 3 sites that represent source water used in support of oil production were included in this dataset, for a total of 92 samples and 87 sites, respectively. The locations from which these historical samples have been collected include 27 wells, 2 reservoirs, 10 storage tanks, and 49 unidentifiable sample sources. Well depth, perforation depths, and (or) depths referred to on geochemistry reports as interval of zone produced, are available for 25 of the 27 wells. Designated well use and sample descriptions provide further insight about what the samples represent. The well use designation for 23 of the wells is OG (oil/gas). ...

This dataset presents the characteristics of sidestreams that result from the settling, thickening and dewatering of sewage sludge. These data have been collected from the scientific literature and all available characteristics (volume and concentrations of different components) have been included. The origin of the data is systematically presented. The collected dataset is organised by source of sidestreams: thickening of primary sludge, thickening of biological sludge, dewatering of digested sludge, dewatering of digested sludge pretreated through a thermal hydrolysis process. More information about the configuration of the water resource recovery facilities (WRRFs) are provided when available: secondary treatment type, specific phosphorus treatment type and dewatering or thickening equipment. This dataset allows the calculation of statistical information for each observed characteristic. These data can be useful to researchers, engineers and WRRF operators because they are scarce at full-scale. This dataset can be an easy-to-use resource for improving knowledge about sidestream characteristics.

Biological ocean data collected from ships find reuse in aggregations of historical data. These data are heavily relied upon to document long term change, validate satellite algorithms for ocean biology and are useful in assessing the performance of autonomous platforms and biogeochemical models. There is a need to combine subsurface biological and physical data into one aggregate data product to support reproducible research. Existing aggregate products are dissimilar in source data, have largely been isolated to the surface ocean and most omit physical data. These products cannot easily be used to explore subsurface bio-physical relationships. We present the first version of a biological ocean data reformatting effort (BIO-MATE, https://gitlab.com/KBaldry/BIO-MATE). BIO-MATE uses R software that reformats openly sourced published datasets from oceanographic voyages. These reformatted biological and physical data from underway sensors, profiling sensors and pigments analysis are stored in an interoperable and reproducible BIO-MATE data product for easy access and use.

This geophysical survey is located in north-central Alaska in the Circle mining district, about 120 kilometers northeast of Fairbanks, Alaska. Frequency domain electromagnetic and magnetic data were collected with the DIGHEM system from August to September 1993. A total of 2516.7 line kilometers were collected covering 921.5 square kilometers. Line spacing was 400 meters (m). Data were collected 30 m above the ground surface from a helicopter towed sensor platform ("bird") on a 30 m long line. The data, as well as additional metadata, are available from the DGGS website: http://doi.org/10.14509/30167.

This is a compilation of data collected from the official VNL website (link can be found here).

The data on Volleyball World was too separated and unusable, with them categorizing data by Attackers, Blockers, Setters, etc. This makes the data inflexible and hard to use for statistical purposes. I manually copy and pasted the data into an Excel sheet, where I used some functions to clean and organize the data. Some columns found on the official website (like efficiency or success rate) were dropped to keep the dataset simple and generalizable.

Please see column descriptions below: - Name: Name of Player - Team: First three letters of the team they represent - Attack Points: Points scored off spikes and tips - Attack Errors: Points lost on spikes or tips - Attack Attempts: Includes Attack Points, Attack Errors, and spikes/tips that did not lead to points for either team - Block Points: Points scored off of blocks - Block Errors: Points lost from blocks - Rebounds: Blocks that did not lead to points for either team - Serve Points: Services aces directly led to a point - Serve Errors: Points lost directly from serves - Serve Attempts: Serves that did not directly lead to points for either team - Successful Sets: Sets that led to a successful attack - Set Errors: Points lost directly from a set - Set Attempts: Sets that did not directly lead to a point for either team - Spike Digs: Number of tips or spikes that a player dug - Dig Errors: An attempt to dig a tip or spike that lost the defending team a point - Successful Receives: A near-perfect or perfect receive, resulting in an easy-to-set ball for the setter - Receive Errors: An attempt at a serve receive that lost the defending team a point - Receive Attempts: A receive of a serve that got the ball up in a non-ideal spot