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This data release is a compilation of published and unpublished thermal maturity and source rock geochemical data (Rock-Eval, pyrolysis) from subsurface wells in the Permian Basin, west Texas and southeast New Mexico. These data include 67 newly collected samples and analyses from Delaware Basin wells (identified as Cicero_2022), as well as 1028 previously unpublished USGS analyses from the entire province (identified as LIMS). Data were also synthesized from publicly available sources, such as theses and dissertations, state agencies and databases, as well as from the body of published literature.

Dataset

This dataset was created by ThomasGiroux

Contents

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 ...

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.

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).

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 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

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.

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 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 U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feat ...

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.

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 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.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).

This dataset contains the predicted prices of the asset Bot Compiler over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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.