This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 2 product containing trace gases on a vertical pressure (atm) grid with data stored in an ASCII table using a spreadsheet friendly tab delimited format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. Measured species include: H2O, CO2, O3, N2O, CO, CH4, NO and NO2 (both diurnally and not diurnally corrected), HNO3, HF, HCl, OCS, H2CO, HOCl, H2O2, HO2NO2, N2O5, ClONO2, HCN, CH3F, CH3Cl, CF4, CCl2F2, CCl3F, CCl4, COF2, C2H6, C2H2, N2, CHF2Cl, HCOOH, HDO, SF6 and CH3D reported at 85 levels from 1 to 10-7 atm. Data files also include time, geolocation and other information.The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number.A similar product (ATMOSL2PF) exists that contains these same data in a FORTRAN friendly fixed field format.

This is the version 3 Atmospheric Trace Molecule Spectroscopy (ATMOS) Level 2 product containing trace gases on a vertical altitude (km) grid with data stored in an ASCII table using a spreadsheet friendly tab delimited format. ATMOS is an infrared spectrometer (a Fourier transform interferometer) designed to derive vertical concentrations of various trace gases in the atmosphere, particularly the ozone depleting chlorine and fluorine based molecules. Measured species include: H2O, CO2, O3, N2O, CO, CH4, NO and NO2 (both diurnally and not diurnally corrected), HNO3, HF, HCl, OCS, H2CO, HOCl, H2O2, HO2NO2, N2O5, ClONO2, HCN, CH3F, CH3Cl, CF4, CCl2F2, CCl3F, CCl4, COF2, C2H6, C2H2, N2, CHF2Cl, HCOOH, HDO, SF6 and CH3D reported at 100 levels from 0.5 to 99.5 km. Data files also include time, geolocation and other information.The data were collected during four space shuttle missions: STS-51B/Spacelab 3 (April 30 to May 1, 1985), STS-45/ATLAS-1 (March 25 to April 2, 1992), STS-55/ATLAS-2 (April 8 to 16, 1993), and STS-66/ATLAS-3 (November 3 to 12, 1994). Data are written to separate files grouped by mission (sl3, at1, at2 or at3), and occultation type (sunrise or sunset) and number.A similar product (ATMOSL2AF) exists that contains these same data in a FORTRAN friendly fixed field format.

In 2007, the U.S. Geological Survey began a low-density (1 site per 1,600 sq. km., 4857 sites) geochemical and mineralogical survey of soils of the conterminous United States. Sampling and analytical protocols were developed at a workshop in 2003, and pilot studies were conducted from 2004-2007 to test and refine these recommended protocols. The final sampling protocol for the national-scale survey included, at each site, a composite sample from a depth of 0 to 5 centimeters, a composite of the soil A horizon, and a deeper sample from the soil C horizon or, if the top of the C horizon was at a depth greater than 1 meter, from a depth of approximately 80 to 100 centimeters. The <2-millimeter fraction of each sample was analyzed for a suite of 45 major and trace elements by methods that yield the total, or near-total, elemental content. The major mineralogical components in the samples from the soil A and C horizons were determined by a quantitative X-ray diffraction method using Rietveld refinement. Sampling in the conterminous U.S. was completed in 2010 with chemical and mineralogical analyses completed in May, 2013. The resulting data set provides an estimate of the abundance and spatial distribution of chemical elements and minerals in soils of the conterminous U.S. and represents a baseline for soil geochemistry and mineralogy against which future changes may be recognized and quantified. This report (1) describes the sampling, sample preparation, and analytical methods used; (2) gives details of the quality control protocols used to monitor the quality of chemical and mineralogical analyses over approximately six years, and (3) makes available the soil geochemical and mineralogical data in downloadable tables.

Column descriptions of the METAREP tab delimited import format.

Why this Dataset

This dataset brings to you Iris Dataset in several data formats (see more details in the next sections).

You can use it to test the ingestion of data in all these formats using Python or R libraries. We also prepared Python Jupyter Notebook and R Markdown report that input all these formats:

• Test Data Formats in Python
• Test Data Formats in R

Iris Dataset

Iris Dataset was created by R. A. Fisher and donated by Michael Marshall.

Repository on UCI site: https://archive.ics.uci.edu/ml/datasets/iris

Data Source: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/

The file downloaded is iris.data and is formatted as a comma delimited file.

This small data collection was created to help you test your skills with ingesting various data formats.

Content

This file was processed to convert the data in the following formats: * csv - comma separated values format * tsv - tab separated values format * parquet - parquet format
* feather - feather format * parquet.gzip - compressed parquet format * h5 - hdf5 format * pickle - Python binary object file - pickle format * xslx - Excel format
* npy - Numpy (Python library) binary format * npz - Numpy (Python library) binary compressed format * rds - Rds (R specific data format) binary format

Acknowledgements

I would like to acknowledge the work of the creator of the dataset - R. A. Fisher and of the donor - Michael Marshall.

Inspiration

Use these data formats to test your skills in ingesting data in various formats.

This data release is a compilation of data that characterize Alberta groundwater springs. It was compiled from several government datasets and reports, and fieldwork conducted by Alberta Geological Survey (AGS) staff members. The source datasets include the digitized Alberta Research Council (ARC) Hydrogeology Map Series, the AGS Springs of Alberta report, ARC water chemistry data, Groundwater Resources Information Services (GWRIS) Index, Alberta Environmental Protection (AEP) springs, AGS Northeastern Alberta (NEALTA) project springs, field work conducted by Dr. J. Toth and R. Stein, and other more recent spring sampling projects. The data release includes field measurements and water chemistry analyses, as well as some isotope data. Where they are available the dataset also includes references to reports for further information. The data is housed within two primary tables that are related to each other in a one-to-many relationship through the unique identifier field, UID. Also included in the data release are four reference tables containing descriptions of certain data attributes.

This lithium ground- and formation-water geochemical dataset will enable present and future companies to better evaluate their targets and characterize their resource estimates by being able to distinguish between background and anomalous concentrations of lithium throughout Alberta. The dataset comprises lithium geochemical data from ground and formation water in Alberta and near the Alberta border. The data were captured from several databases, including those from Alberta Geological Survey (oil and gas wells database, AERI and Beaver River Basin projects), and the Alberta Research Council. In total there are 1,511 records, of which 48 records have >75 mg/L Li. Nineteen analyses have >100 mg/L Li (up to 140 mg/L) and occur within the Middle to Upper Devonian Beaverhill Lake Formation and Woodbend and Winterburn groups of west-central to northwestern Alberta. Economic concentrations of lithium are known to form in either lithium pegmatite or in high-lithium brine and clay. A few of the world's oil-field waters also have medium to high lithium content. During the mid-1990s, several government reports showed that lithium values of up to 140 mg/L Li occurred in west-central Alberta formation waters of the Beaverhill Lake and Woodbend groups. however, minimal data were publicly released.

The Alaska Geochemical Database Version 2.0 (AGDB2) contains new geochemical data compilations in which each geologic material sample has one "best value" determination for each analyzed species, greatly improving speed and efficiency of use. Like the Alaska Geochemical Database (AGDB) before it, the AGDB2 was created and designed to compile and integrate geochemical data from Alaska in order to facilitate geologic mapping, petrologic studies, mineral resource assessments, definition of geochemical baseline values and statistics, environmental impact assessments, and studies in medical geology. This relational database, created from the Alaska Geochemical Database (AGDB) that was released in 2011, serves as a data archive in support of present and future Alaskan geologic and geochemical projects, and contains data tables in several different formats describing historical and new quantitative and qualitative geochemical analyses. The analytical results were determined by 85 laboratory and field analytical methods on 264,095 rock, sediment, soil, mineral and heavy-mineral concentrate samples. Most samples were collected by U.S. Geological Survey (USGS) personnel and analyzed in USGS laboratories or, under contracts, in commercial analytical laboratories. These data represent analyses of samples collected as part of various USGS programs and projects from 1962 through 2009. In addition, mineralogical data from 18,138 nonmagnetic heavy mineral concentrate samples are included in this database. The AGDB2 includes historical geochemical data originally archived in the USGS Rock Analysis Storage System (RASS) database, used from the mid-1960s through the late 1980s and the USGS PLUTO database used from the mid-1970s through the mid-1990s. All of these data are currently maintained in the National Geochemical Database (NGDB). Retrievals from the NGDB were used to generate most of the AGDB data set. These data were checked for accuracy regarding sample location, sample media type, and analytical methods used. This arduous process of reviewing, verifying and, where necessary, editing all USGS geochemical data resulted in a significantly improved Alaska geochemical dataset. USGS data that were not previously in the NGDB because the data predate the earliest USGS geochemical databases, or were once excluded for programmatic reasons, are included here in the AGDB2 and will be added to the NGDB. The AGDB2 data provided here are the most accurate and complete to date, and should be useful for a wide variety of geochemical studies. The AGDB2 data provided in the linked database may be updated or changed periodically.

Since its inception in 1920, the Alberta Geological Survey (AGS) has drilled several thousand boreholes across the province. Most were drilled only into the unconsolidated sediments overlying the top of bedrock. In 2010, AGS staff began a project to systematically compile all of the borehole log information into a database. This Digital Data product and its companion Open File Report, OFR 2014-06 are the interim results of this initiative. The dataset comprises three tables: Sources.txt, Boreholes.txt and Intervals.txt, as well as metadata. The Sources table gives summary information about the AGS project for which each borehole was drilled. The Boreholes table gives summary information about each borehole, such as location, drilling method, date, and total depth of the hole. The Intervals table gives descriptive geological information about each distinct geological horizon encountered in the borehole, including lithology and colour of the material. The tables have primary keys on them so they may be loaded into a relational database, GIS system, or geological modelling program. This dataset is an interim release of 266 boreholes.

This dataset contains particle number-size distribution measurements taken on board the Ron Brown Ship during the ACE-Asia project, March-April 2001. This data is in comma delimited format. However, the same dataset can also be ordered in a tab delimited ACSII format.

In 2010, for the Alberta Geological Survey Saline Aquifer Mapping Project, we collected and analyzed 38 water samples from oil wells producing from geological units, including the Glauconitic, Ostracod, Ellerslie, Banff, Wabamun, Nisku, Leduc and Cooking Lake, within 100 km of Edmonton, Alberta. We analyzed filtered water samples for pH, density and specific conductance; oxygen, hydrogen and strontium isotopes; and dissolved constituents, including sodium, potassium, calcium, magnesium, barium, strontium, lithium, iron, manganese, chloride, bromide, sulphate, sulphide, silica and inorganic carbon.

Since its inception in 1920, the Alberta Geological Survey (AGS) has drilled several thousand boreholes across the province. Most were drilled only into the unconsolidated sediments overlying the top of bedrock. In 2010, AGS staff began a project to systematically compile all of the borehole log information into a database. This Digital Data product and its companion Open File Report, OFR 2014-06 are the interim results of this initiative. The dataset comprises three tables: Sources.txt, Boreholes.txt and Intervals.txt, as well as metadata. The Sources table gives summary information about the AGS project for which each borehole was drilled. The Boreholes table gives summary information about each borehole, such as location, drilling method, date, and total depth of the hole. The Intervals table gives descriptive geological information about each distinct geological horizon encountered in the borehole, including lithology and colour of the material. The tables have primary keys on them so they may be loaded into a relational database, GIS system, or geological modelling program. This dataset is an interim release of 266 boreholes.

This digital data release includes Rock Eval and total organic carbon results of selected samples for analyses of shale gas, oil and liquids. The strata evaluated include the: - basal Banff Formation, - Colorado Group, - Duvernay Formation, - Exshaw Formation, - Montney Formation, - Muskwa Formation, - Nordegg Member, and - Rierdon Formation.

Information on VMS deposits from around the world. It also presents new grade and tonnage models for three subtypes of VMS deposits and a text file allowing locations of all deposits to be plotted in geographic information system (GIS) programs. The data are presented in FileMaker Pro and text files to make the information available to a wider audience.

LCD-Composer results are stored in a separate file for each organism. Each file is in a tab-delimited format. Columns are ordered as follows:1) The protein identifier (header in the FASTA proteome file),2) the LCD sequence,3) the location of the LCD within the protein,4) the LCD class (i.e. the amino acid of interest used in the LCD-Composer search criteria),5) the percent composition of the amino acid of interest within the LCD,6) the linear dispersion of the amino acid of interest within the LCD

Characteristics of 785 deposits, including grade, tonnage, rocks, mineralogy, and references

Abstract

The dataset was derived by the Bioregional Assessment Programme. This dataset was derived from BILO Gridded Climate Data provided by CSIRO. You can find a link to the parent datasets in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

Time series of daily BILO precipitation from 19810101 through 20121231, for each mainland Australia 0.05 degree resolution grid cell to the east of the WA border. The filename represents the cell centre of the 0.05 degree resolution grid cell with longitude (in decimal degrees) being provided before latitude (again in decimal degrees). Data are in Comma Delimited (.csv) format with date and value for each day.

Dataset History

Time series of daily BILO precipitation from 19810101 through 20121231, for each mainland Australia 0.05 degree resolution grid cell to the east of the WA border. The filename represents the cell centre of the 0.05 degree resolution grid cell with longitude (in decimal degrees) being provided before latitude (again in decimal degrees).Data have been converted from rater based to Comma Delimited (.csv) using the cell centre to identify location and filename. There is one file per grid cell generated.

Source data: BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012 (7aaf0621-a0e5-4b01-9333-53ebcb1f1c14).

Dataset Citation

Bioregional Assessment Programme (2014) BILO daily rainfall grids in CSV text file format 1981 to 2013. Bioregional Assessment Derived Dataset. Viewed 09 October 2017, http://data.bioregionalassessments.gov.au/dataset/67749ef0-7223-437a-851a-573edde09567.

Dataset Ancestors

• Derived From BILO Gridded Climate Data: Daily Climate Data for each year from 1900 to 2012

The dataset includes subsurface stratigraphic picks for the top of the Foremost Formation (Belly River Group) in the Alberta Plains (Townships 1 to 52, Ranges 1W4 to 5W5) made from downhole wireline geophysical well logs. The top of the Foremost was picked at the base of a continuous sandstone or siltstone bed (low-gamma-ray) of variable thickness overlying the Taber coal zone. Well data were screened to detect errors resulting from deviated wells, as well as incorrect ground and kelly bushing elevation data. We used statistical methods to identify local and regional statistical outliers, which were examined individually.

This digital dataset represents the modelled outputs of the three-dimensional distribution of sandiness in the Paskapoo Formation, Alberta, Canada. Sand-abundance values were determined from log analysis of water-well lithologs and petroleum exploration downhole-geophysical logs, specifically gamma-ray logs. We derived the sandiness values by calculating the average sandiness in 25 m thick slices above the base of the Paskapoo Formation in a borehole and by assigning the average value (P50) to the midpoint of each slice interval. Alberta Geological Survey Bulletin 66 provides detailed descriptions of the methodology. We tested the borehole sand-abundance values in a 3-D variogram prior to kriging in a regular block model consisting of cells with dimensions of 1000 m on the x and y planes and 25 m in the z (elevation) direction. Values of modelled sandiness range from 0 (absence of sand) to 1 (100% sand) and are assigned elevations based on two datums: 1) a stratigraphic level corresponding to the height of the midpoint of each respective 25 m thick slice interval above the base of Paskapoo Formation, and 2) the elevation of the midpoint of the slice above sea level. Importing the modelled results of sandiness into model viewing software, such as Voxler, permits the user to generate three-dimensional isovalue plots illustrating the differences in distribution and geometry of aquifers as different cutoff or threshold criteria are applied. The dataset also enables one to delineate the regional lithostratigraphic units nested within stratigraphically complex rock formations.

The files are either tables in tab-delimited or comma-delimited format and can be opened with a text editor or they are in Microsoft Excel format and can be opened with Excel or Open Office.