100+ datasets found
  1. p

    Santa Fe Time Series Competition Data Set B

    • physionet.org
    • search.datacite.org
    Updated Jan 6, 2000
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    (2000). Santa Fe Time Series Competition Data Set B [Dataset]. http://doi.org/10.13026/C20W2T
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    Dataset updated
    Jan 6, 2000
    License

    Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
    License information was derived automatically

    Description

    This is a multivariate data set recorded from a patient in the sleep laboratory of the Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) in Boston, Massachusetts. This data set was extracted from record slp60 of the MIT-BIH Polysomnographic Database, and it was submitted to the Santa Fe Time Series Competition in 1991 by our group. The data are presented in text form and have been split into two sequential parts. Each line contains simultaneous samples of three parameters; the interval between samples in successive lines is 0.5 seconds. The first column is the heart rate, the second is the chest volume (respiration force), and the third is the blood oxygen concentration (measured by ear oximetry). The sampling frequency for each measurement is 2 Hz (i.e., the time interval between measurements in successive rows is 0.5 seconds).

  2. d

    Cadastral PLSS Standardized Data - PLSSSecond Division (Santa Fe) - Version...

    • catalog.data.gov
    • gstore.unm.edu
    Updated Dec 2, 2020
    + more versions
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    (Point of Contact) (2020). Cadastral PLSS Standardized Data - PLSSSecond Division (Santa Fe) - Version 1.1 [Dataset]. https://catalog.data.gov/dataset/cadastral-plss-standardized-data-plsssecond-division-santa-fe-version-1-1
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    (Point of Contact)
    Description

    This feature class is part of the Cadastral National Spatial Data Infrastructure (NSDI) CADNSDI publication data set for rectangular and non-rectangular Public Land Survey System (PLSS) data set. The metadata description in the Cadastral Reference System Feature Data Set more fully describes the entire data set. This feature class is the second division of the PLSS is quarter, quarter-quarter, sixteenth or government lot divisions of the PLSS. The second and third divisions are combined into this feature class as an intentional de-normalization of the PLSS hierarchical data. The polygons in this feature class represent the smallest division to the sixteenth that has been defined for the first division. For example In some cases sections have only been divided to the quarter. Divisions below the sixteenth are in the Special Survey or Parcel Feature Class.

  3. Materials Data on Fe by Materials Project

    • osti.gov
    Updated Jul 14, 2020
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    The Materials Project (2020). Materials Data on Fe by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1189317
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    Dataset updated
    Jul 14, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Authors
    The Materials Project
    Description

    Fe is Tungsten structured and crystallizes in the cubic Im-3m space group. The structure is three-dimensional. Fe is bonded in a distorted body-centered cubic geometry to eight equivalent Fe atoms. All Fe–Fe bond lengths are 2.47 Å.

  4. Further education and skills data

    • gov.uk
    Updated Jul 16, 2020
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    Department for Education (2020). Further education and skills data [Dataset]. https://www.gov.uk/government/statistical-data-sets/fe-data-library-further-education-and-skills
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    Dataset updated
    Jul 16, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    This includes information on learners who are studying on a course at a further education college, learners studying courses within their local community, employees undertaking an apprenticeship, and employees undertaking other qualifications in the workplace. Note: data on providers is only published annually.

    It has been designed to complement the main statistical releases, and act as a ‘one stop shop’ for data and information on learners, learning programmes and learner achievement.

    Can’t find what you’re looking for?

    If you need help finding data, use the table finder tool to search for specific breakdowns available for FE statistics.

    FE and skills: in-year provisional data for the current (2019 to 2020) academic year

    https://assets.publishing.service.gov.uk/media/5f088c833a6f405a13e3f295/201920-July_ET_CL_by_area.xlsx">Adult (19+) Education and training plus Community Learning participation by devolved area (August 2019 to April 2020, reported to date)

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  5. Materials Data on Fe by Materials Project

    • osti.gov
    Updated Jul 15, 2020
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    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) (2020). Materials Data on Fe by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1189683
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    Dataset updated
    Jul 15, 2020
    Dataset provided by
    Office of Sciencehttp://www.er.doe.gov/
    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    Description

    Fe is Magnesium structured and crystallizes in the hexagonal P6_3/mmc space group. The structure is three-dimensional. Fe is bonded to twelve equivalent Fe atoms to form a mixture of edge, face, and corner-sharing FeFe12 cuboctahedra. There are six shorter (2.41 Å) and six longer (2.47 Å) Fe–Fe bond lengths.

  6. FE Choices: performance indicators

    • gov.uk
    Updated Oct 13, 2016
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    Skills Funding Agency (2016). FE Choices: performance indicators [Dataset]. https://www.gov.uk/government/statistical-data-sets/fe-choices-performance-indicators
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    Dataset updated
    Oct 13, 2016
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Skills Funding Agency
    Description

    This information is based on the following performance indicators:

    • success rates - a measure of the rate of success for learners attending FE courses
    • learner destinations (including Employment Rate and Learning Rate) - a measure of where a learner gained a positive destination after completing their FE course and the resulting Learning and and Employment Rates
    • learner satisfaction - a measure of the satisfaction expressed by learners attending courses run by their provider
    • employer satisfaction - a measure of the satisfaction expressed by employers who use their provider to train their employers

    FE Choices also helps further education organisations to assess their own performance.

    If you have any queries please contact servicedesk@sfa.bis.gov.uk or 0370 267 0001

    2015 to 2016 employer satisfaction

    The employer satisfaction survey captures employers’ experiences of their training.

    2014 to 2015 learner satisfaction update

    The learner satisfaction survey captures learners’ experiences of their college or training organisation. This update relates to Higher Education Institutions.

    2013 to 2014 Learner Satisfaction update

    The learner satisfaction survey captures learners’ experiences of their college or training organisation. This update relates to Higher Education Institutions.

    2015 to 2016 learner satisfaction

    The learner satisfaction survey captures learners’ experiences of their college or training organisation.

    2014 to 2015 learner satisfaction

    The learner satisfaction survey captures learners’ experiences of their college or training organisation.

    2014 to 2015 employer satisfaction

    The employer satisfaction survey captures employers’ experiences of their training.

    2012 to 2013 success rates

    These success rates are a measure of the quality of programmes run by providers in a particular academic year.

    2014 to 2015 national achievement rates tables

    Apprenticeship and education and training national achievement rates tables

  7. Materials Data on Fe by Materials Project

    • osti.gov
    Updated Jul 15, 2020
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22) (2020). Materials Data on Fe by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/dataset/1190986-materials-data-fe-materials-project
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    Dataset updated
    Jul 15, 2020
    Dataset provided by
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    Description

    Fe is Copper structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. Fe is bonded to twelve equivalent Fe atoms to form a mixture of corner, edge, and face-sharing FeFe12 cuboctahedra. All Fe–Fe bond lengths are 2.58 Å.

  8. Z

    Example input files and Fe foil data for FEFF EXAFS simulations of Fe

    • data.niaid.nih.gov
    • explore.openaire.eu
    Updated Jan 24, 2020
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    Briggs, Richard (2020). Example input files and Fe foil data for FEFF EXAFS simulations of Fe [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_886448
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    Dataset updated
    Jan 24, 2020
    Dataset authored and provided by
    Briggs, Richard
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Feff input file containing Fe atomic positions, needed to run FEFF simulations of the EXAFS of Fe. The Demeter XAS analysis program files are also included (free software) : http://bruceravel.github.io/demeter/#about. These files can be used to simulate EXAFS of Fe using the FEFF software. This simulation is a building block for a future enhancement of the SIMEX (Simulation of Experiments) platform : https://github.com/eucall-software/simex_platform

  9. Materials Data on Fe by Materials Project

    • osti.gov
    Updated Aug 3, 2020
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (2020). Materials Data on Fe by Materials Project [Dataset]. http://doi.org/10.17188/1665525
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    Dataset updated
    Aug 3, 2020
    Dataset provided by
    United States Department of Energyhttp://energy.gov/
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Description

    Fe is beta Plutonium-like structured and crystallizes in the tetragonal P4_2/mnm space group. The structure is three-dimensional. there are four inequivalent Fe sites. In the first Fe site, Fe is bonded in a 3-coordinate geometry to nine Fe atoms. There are a spread of Fe–Fe bond distances ranging from 2.32–2.62 Å. In the second Fe site, Fe is bonded in a 11-coordinate geometry to eleven Fe atoms. There are a spread of Fe–Fe bond distances ranging from 2.25–2.66 Å. In the third Fe site, Fe is bonded in a 2-coordinate geometry to fourteen Fe atoms. There are a spread of Fe–Fe bond distances ranging from 2.32–2.81 Å. In the fourth Fe site, Fe is bonded in a 11-coordinate geometry to eleven Fe atoms. The Fe–Fe bond length is 2.41 Å.

  10. o

    Apache Point Cross Street Data in Santa Fe, NM

    • ownerly.com
    Updated Jan 13, 2022
    + more versions
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    Ownerly (2022). Apache Point Cross Street Data in Santa Fe, NM [Dataset]. https://www.ownerly.com/nm/santa-fe/apache-pt-home-details
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    Dataset updated
    Jan 13, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Apache Point, New Mexico, Santa Fe
    Description

    This dataset provides information about the number of properties, residents, and average property values for Apache Point cross streets in Santa Fe, NM.

  11. Provider and local authority tables

    • gov.uk
    Updated Dec 20, 2018
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    Department for Education (2018). Provider and local authority tables [Dataset]. https://www.gov.uk/government/statistical-data-sets/fe-data-library-local-authority-tables
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    Dataset updated
    Dec 20, 2018
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    Please note: data on providers is only published annually.

    Provider data for later academic years is also available in the data tools and tables statistical data sets within the FE data library.

    Can’t find what you’re looking for?

    If you need help finding data please refer to the table finder tool to search for specific breakdowns available for FE statistics.

    Local authority tables

    https://assets.publishing.service.gov.uk/media/5a8231eaed915d74e62364c4/Delivery_LA_Provider_LA_Level_1617.xlsx">FE and skills aims by delivery in each local authority district by provider and level: 2016 to 2017

     <p class="gem-c-attachment_metadata"><span class="gem-c-attachment_attribute">MS Excel Spreadsheet</span>, <span class="gem-c-attachment_attribute">7.06 MB</span></p>
    
    
    
    
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    https://assets.publishing.service.gov.uk/media/5a82da1ae5274a2e87dc34db/LAD_Home_Away_App_Starts_FINAL_V2.xlsx">Apprenticeships starts by delivery in local authority district by provider and level 2016 to 2017

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  12. Synchrotron data of Pb, As, and Fe speciation in soils

    • catalog.data.gov
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Synchrotron data of Pb, As, and Fe speciation in soils [Dataset]. https://catalog.data.gov/dataset/synchrotron-data-of-pb-as-and-fe-speciation-in-soils
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    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Linear combination data showing the percent distribution of Pb, As, and Fe phases in soil samples exposed to simulated lung fluid. This dataset is associated with the following publication: Kastury, F., E. Smith, R. Karna, K. Scheckel, and A. Juhasz. An inhalation-ingestion bioaccessibility assay (IIBA) for the assessment of exposure to metal(loid)s in PM10. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 92-104, (2018).

  13. Materials Data on Fe by Materials Project

    • osti.gov
    Updated Jul 23, 2020
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    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States) (2020). Materials Data on Fe by Materials Project [Dataset]. https://www.osti.gov/dataexplorer/biblio/1274379-materials-data-fe-sg-materials-project
    Explore at:
    Dataset updated
    Jul 23, 2020
    Dataset provided by
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    LBNL Materials Project; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    Description

    Fe is alpha Po structured and crystallizes in the cubic Pm-3m space group. The structure is three-dimensional. Fe is bonded to six equivalent Fe atoms to form a mixture of edge and corner-sharing FeFe6 octahedra. The corner-sharing octahedral tilt angles are 0°. All Fe–Fe bond lengths are 2.38 Å.

  14. Apprenticeships and traineeships data

    • gov.uk
    Updated Jul 16, 2020
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    Department for Education (2020). Apprenticeships and traineeships data [Dataset]. https://www.gov.uk/government/statistical-data-sets/fe-data-library-apprenticeships
    Explore at:
    Dataset updated
    Jul 16, 2020
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department for Education
    Description

    Can’t find what you’re looking for?

    If you need help finding data, use the table finder tool to search for specific breakdowns available for FE statistics.

    This statistical data set provides information on apprenticeships through a number of reports broken down by a number of measures including starts, achievements and participation. These tables also include additional learner information such as:

    • sector subject area (SSA)
    • frameworks and standards
    • geography (region, LAD, PCON)
    • demographics (e.g. gender, age, LDD, ethnicity)
    • provider information

    This section also includes tables for traineeships, reporting starts, completions and progressions. It provides supplementary information to the further education and skills statistical release.

    Apprenticeship and traineeships: current data

    This section covers starts and achievements data for the first three quarters of the 2019 to 2020 academic year (August 2019 to April 2020) reported to date.

    This PivotTable tool provide the user with the ability to create their own combinations for age, level, demographic, and local authority district breakdowns.

    https://assets.publishing.service.gov.uk/media/5f088f9ad3bf7f2bf5e81c3a/201920-July_PT_app_start_ach_demog_LAD.xlsx">Apprenticeship demographic, sector subject area and local authority district PivotTable tool: starts and achievements Q3 2019 to 2020

    MS Excel Spreadsheet, 48.8 MB

    This file may not be suitable for users of assistive technology.

    Request an accessible format.
    If you use assistive technology (such as a screen reader) and need a version of this document in a more accessible format, please email alternative.formats@education.gov.uk. Please tell us what format you need. It will help us if you say what assistive technology you use.

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  15. Materials Data on Fe(PdSe)2 by Materials Project

    • osti.gov
    Updated Jul 16, 2020
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    LBNL Materials Project (2020). Materials Data on Fe(PdSe)2 by Materials Project [Dataset]. http://doi.org/10.17188/1188845
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    Dataset updated
    Jul 16, 2020
    Dataset provided by
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
    LBNL Materials Project
    Description

    Pd2FeSe2 crystallizes in the orthorhombic Ibam space group. The structure is three-dimensional. Fe is bonded in a 4-coordinate geometry to four equivalent Pd and four equivalent Se atoms. All Fe–Pd bond lengths are 2.86 Å. All Fe–Se bond lengths are 2.33 Å. Pd is bonded in a 2-coordinate geometry to two equivalent Fe, three equivalent Pd, and five equivalent Se atoms. There are one shorter (2.78 Å) and two longer (2.92 Å) Pd–Pd bond lengths. There are a spread of Pd–Se bond distances ranging from 2.51–2.93 Å. Se is bonded in a 4-coordinate geometry to two equivalent Fe and five equivalent Pd atoms.

  16. H

    Santa Fe River Data

    • hydroshare.org
    • search.dataone.org
    zip
    Updated Aug 8, 2018
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    Robert Hensley (2018). Santa Fe River Data [Dataset]. https://www.hydroshare.org/resource/b8a1476f4b0a426b948c63a4b0c81247
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    zip(20.8 MB)Available download formats
    Dataset updated
    Aug 8, 2018
    Dataset provided by
    HydroShare
    Authors
    Robert Hensley
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Santa Fe River
    Description

    High-frequency time-series solute measurements from the Santa Fe River at USGS 02322500 near Fort White FL (29°50'55''N, 82°42'55"W), and longitudinal profiles of solute chemistry along 24 km of the Lower Santa Fe River from River Rise (29°52'25''N, 82°35'29"W) to FL47 bridge (29°51'54''N, 82°44'24"W).

  17. Data from: Supporting Data: Modulation of Fe-Fe Distance and Spin in Diiron...

    • iro.uiowa.edu
    • figshare.com
    Updated Jul 10, 2024
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    Bess Vlaisavljevich; Sabyasachi Roy Chowdhury (2024). Supporting Data: Modulation of Fe-Fe Distance and Spin in Diiron Complexes Using Weak-Field Tetradentate Ligands with Different Flanking Donors [Dataset]. https://iro.uiowa.edu/esploro/outputs/dataset/Supporting-Data-Modulation-of-Fe-Fe-Distance/9984658349402771
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    Dataset updated
    Jul 10, 2024
    Dataset provided by
    figshare
    Authors
    Bess Vlaisavljevich; Sabyasachi Roy Chowdhury
    Time period covered
    Jul 10, 2024
    Description

    Supporting computational data for the publication:Kyle D. Spielvogel, Emily Campbell, Sabyasachi Roy Chowdhury, Gillian P. Hatzis, Haley R. Petras; James Shepherd, Dunya Sembukuttiarachchige, Christine Thomas, Bess Vlaisavljevich, and Scott R. Daly. “Modulation of Fe-Fe Distance and Spin in Diiron Complexes Using Weak-Field Tetradentate Ligands with Different Flanking Donors", accepted in Chem. Commun. in 2024.

  18. N

    Arctic Ocean Dissolved Iron (Fe) Data from Flow Injection Analysis

    • npdc.nl
    • search.dataone.org
    • +1more
    Updated Sep 24, 2009
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    (2009). Arctic Ocean Dissolved Iron (Fe) Data from Flow Injection Analysis [Dataset]. https://npdc.nl/dataset/a84c67d2-dae0-5a26-a13f-6afe8c0168fd
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    Dataset updated
    Sep 24, 2009
    License

    https://npdc.nl/dataset/a84c67d2-dae0-5a26-a13f-6afe8c0168fd#accesshttps://npdc.nl/dataset/a84c67d2-dae0-5a26-a13f-6afe8c0168fd#access

    Time period covered
    Jul 28, 2007 - Oct 7, 2007
    Area covered
    Arctic Ocean,
    Description

    Dissolved iron was measured directly on board by Flow Injection Analysis (FIA) after De Jong et al. 1998 in a cleanroom container. In a continuous FIA system the acidified pH 1.8, filtered (0.2µm) seawater is buffered to pH 4.0. The iron is concentrated on a column which contains the column material aminodiacetid acid (IDA). This material binds only transition metals and not the interfering salts. After washing of the column with ultra pure water (MQ) the column is eluted with diluted acid. After mixing with luminol, peroxide and ammonium the oxidation of luminal with peroxide is catalysed by iron and a blue light is produced and detected with a photon counter. The amount of iron is calculated using a standard calibration line, where a known amount of iron is added to low iron containing seawater. Using this calibration line a number of counts per nM iron is obtained.

    A total of 795 samples, divided over 42 stations are measured. All samples have been analyzed on board. The values of Fe measured varied from below 0.1 -10 nM. The standard deviation varied between 0% and 8% (exceptional), but was generally lower than 5%. The standard deviation of the values is determined of a triplicate measurement of the same sample bottle. To correct for contamination during the process or in the sample bottle a duplicate sample was taken of every station depth. The intra-daily consistency of the system was verified using a drift standard. Regularly a certified SAFe standard (Johnson et al. 2007) for the long term consistency and absolute accuracy was measured.

  19. f

    Interpretation and identification of within-unit and cross-sectional...

    • plos.figshare.com
    pdf
    Updated May 31, 2023
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    Jonathan Kropko; Robert Kubinec (2023). Interpretation and identification of within-unit and cross-sectional variation in panel data models [Dataset]. http://doi.org/10.1371/journal.pone.0231349
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jonathan Kropko; Robert Kubinec
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    While fixed effects (FE) models are often employed to address potential omitted variables, we argue that these models’ real utility is in isolating a particular dimension of variance from panel data for analysis. In addition, we show through novel mathematical decomposition and simulation that only one-way FE models cleanly capture either the over-time or cross-sectional dimensions in panel data, while the two-way FE model unhelpfully combines within-unit and cross-sectional variation in a way that produces un-interpretable answers. In fact, as we show in this paper, if we begin with the interpretation that many researchers wrongly assign to the two-way FE model—that it represents a single estimate of X on Y while accounting for unit-level heterogeneity and time shocks—the two-way FE specification is statistically unidentified, a fact that statistical software packages like R and Stata obscure through internal matrix processing.

  20. Materials Data on Fe(SeO3)2 by Materials Project

    • osti.gov
    Updated Jun 4, 2020
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    USDOE Office of Science (SC), Basic Energy Sciences (BES) (2020). Materials Data on Fe(SeO3)2 by Materials Project [Dataset]. http://doi.org/10.17188/1704731
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    Dataset updated
    Jun 4, 2020
    Dataset provided by
    Department of Energy Basic Energy Sciences Programhttp://science.energy.gov/user-facilities/basic-energy-sciences/
    Office of Sciencehttp://www.er.doe.gov/
    Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project
    Description

    Fe(SeO3)2 crystallizes in the monoclinic P2_1/c space group. The structure is three-dimensional. Fe2+ is bonded to six O2- atoms to form edge-sharing FeO6 octahedra. There are a spread of Fe–O bond distances ranging from 1.96–2.14 Å. There are two inequivalent Se5+ sites. In the first Se5+ site, Se5+ is bonded in a trigonal non-coplanar geometry to three O2- atoms. There are a spread of Se–O bond distances ranging from 1.66–1.72 Å. In the second Se5+ site, Se5+ is bonded in a distorted trigonal non-coplanar geometry to three O2- atoms. There are a spread of Se–O bond distances ranging from 1.71–1.79 Å. There are six inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted bent 150 degrees geometry to one Fe2+ and one Se5+ atom. In the second O2- site, O2- is bonded in a bent 120 degrees geometry to one Fe2+ and one Se5+ atom. In the third O2- site, O2- is bonded in a single-bond geometry to one Se5+ atom. In the fourth O2- site, O2- is bonded in a distorted bent 150 degrees geometry to one Fe2+ and one Se5+ atom. In the fifth O2- site, O2- is bonded in a bent 120 degrees geometry to one Fe2+ and one Se5+ atom. In the sixth O2- site, O2- is bonded in a distorted trigonal non-coplanar geometry to two equivalent Fe2+ and one Se5+ atom.

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(2000). Santa Fe Time Series Competition Data Set B [Dataset]. http://doi.org/10.13026/C20W2T

Santa Fe Time Series Competition Data Set B

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10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 6, 2000
License

Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically

Description

This is a multivariate data set recorded from a patient in the sleep laboratory of the Beth Israel Hospital (now the Beth Israel Deaconess Medical Center) in Boston, Massachusetts. This data set was extracted from record slp60 of the MIT-BIH Polysomnographic Database, and it was submitted to the Santa Fe Time Series Competition in 1991 by our group. The data are presented in text form and have been split into two sequential parts. Each line contains simultaneous samples of three parameters; the interval between samples in successive lines is 0.5 seconds. The first column is the heart rate, the second is the chest volume (respiration force), and the third is the blood oxygen concentration (measured by ear oximetry). The sampling frequency for each measurement is 2 Hz (i.e., the time interval between measurements in successive rows is 0.5 seconds).

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