100+ datasets found
  1. B

    Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with...

    • ceicdata.com
    Updated Jul 22, 2019
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    CEICdata.com (2019). Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-individuals-mortgages-with-market-rates/lending-rate-per-month-prefixed-individuals-mortgages-with-market-rates-credifibra-sa-credito-financiamento-e-investimento
    Explore at:
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1817 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB011: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Mortgages with Market Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  2. Data from: (Table 4+1) Sedimentation rates measured by the radiocarbon...

    • doi.pangaea.de
    • search.dataone.org
    html, tsv
    Updated 1994
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    Irina E Vlasova; Vladimir M Kuptsov (1994). (Table 4+1) Sedimentation rates measured by the radiocarbon method (14C) and by the 230Th excess method and nodule growth rates measured by the alpha method [Dataset]. http://doi.org/10.1594/PANGAEA.759579
    Explore at:
    tsv, htmlAvailable download formats
    Dataset updated
    1994
    Dataset provided by
    PANGAEA
    Authors
    Irina E Vlasova; Vladimir M Kuptsov
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Variables measured
    Nodules, Event label, Growth rate, Sediment type, Age, difference, Latitude of event, Sample code/label, Elevation of event, Longitude of event, Sedimentation rate
    Description

    This dataset is about: (Table 4+1) Sedimentation rates measured by the radiocarbon method (14C) and by the 230Th excess method and nodule growth rates measured by the alpha method. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.759580 for more information.

  3. d

    Property tax rate and calculation table for Tainan City

    • data.gov.tw
    csv, json
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    Finance and Local Tax Bureau,Tainan City, Property tax rate and calculation table for Tainan City [Dataset]. https://data.gov.tw/en/datasets/53269
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    json, csvAvailable download formats
    Dataset authored and provided by
    Finance and Local Tax Bureau,Tainan City
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This dataset provides the tax rates and tax calculation formulas for various types of land in Tainan City.

  4. B

    Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with...

    • ceicdata.com
    Updated Jul 22, 2019
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    CEICdata.com (2019). Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Santana S.A. Credito Financiamento e Investimento [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-individuals-mortgages-with-regulated-rates/lending-rate-per-month-prefixed-individuals-mortgages-with-regulated-rates-santana-sa-credito-financiamento-e-investimento
    Explore at:
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Santana S.A. Credito Financiamento e Investimento data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Santana S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Regulated Rates: Santana S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB012: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Mortgages with Regulated Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  5. B

    Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Credit Private...

    • ceicdata.com
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    CEICdata.com, Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Credit Private Payroll: Banco Cooperativo do Brasil S.A.Bancoob [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-individuals-credit-private-payroll
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Lending Rate: per Month: Pre-Fixed: Individuals: Credit Private Payroll: Banco Cooperativo do Brasil S.A.Bancoob data was reported at 1.790 % per Month in 03 Jul 2019. This records an increase from the previous number of 1.740 % per Month for 02 Jul 2019. Lending Rate: per Month: Pre-Fixed: Individuals: Credit Private Payroll: Banco Cooperativo do Brasil S.A.Bancoob data is updated daily, averaging 1.730 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 2.240 % per Month in 19 May 2012 and a record low of 0.000 % per Month in 11 Jul 2015. Lending Rate: per Month: Pre-Fixed: Individuals: Credit Private Payroll: Banco Cooperativo do Brasil S.A.Bancoob data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB007: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Credit Private Payroll. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  6. (Table 7) Accumulation rates for sediments from ODP Hole 115-711A

    • doi.pangaea.de
    html, tsv
    Updated 1990
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    Kurt Boström; Jan Backman (1990). (Table 7) Accumulation rates for sediments from ODP Hole 115-711A [Dataset]. http://doi.org/10.1594/PANGAEA.755964
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    tsv, htmlAvailable download formats
    Dataset updated
    1990
    Dataset provided by
    PANGAEA
    Authors
    Kurt Boström; Jan Backman
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Jun 11, 1987 - Jun 12, 1987
    Area covered
    Variables measured
    AGE, Accumulation rate, iron, Accumulation rate, zinc, Accumulation rate, chrom, Accumulation rate, barium, Accumulation rate, cobalt, Accumulation rate, copper, Accumulation rate, nickel, Accumulation rate, niobium, Accumulation rate, silicon, and 13 more
    Description

    This dataset is about: (Table 7) Accumulation rates for sediments from ODP Hole 115-711A. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.755965 for more information. Major element given as oxides.

  7. Federal and provincial effective tax rates of census families

    • ouvert.canada.ca
    • www150.statcan.gc.ca
    • +1more
    csv, html, xml
    Updated Oct 28, 2024
    + more versions
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    Statistics Canada (2024). Federal and provincial effective tax rates of census families [Dataset]. https://ouvert.canada.ca/data/dataset/ccdb1025-95fa-490f-95a0-ab435da5b166
    Explore at:
    csv, xml, htmlAvailable download formats
    Dataset updated
    Oct 28, 2024
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table provides census family taxation statistics, including effective tax and transfer rates, the total amount of taxes paid and government transfers received, and the proportion of Canadian census families that pay tax or receive government transfers.

  8. F

    Discount Window Primary Credit Rate

    • fred.stlouisfed.org
    json
    Updated Jun 2, 2025
    + more versions
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    (2025). Discount Window Primary Credit Rate [Dataset]. https://fred.stlouisfed.org/series/MPCREDIT
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    jsonAvailable download formats
    Dataset updated
    Jun 2, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Discount Window Primary Credit Rate (MPCREDIT) from Feb 2003 to May 2025 about primary, credits, interest rate, interest, rate, and USA.

  9. d

    Uncertainty table for lidar-derived shorelines used when calculating rates...

    • catalog.data.gov
    • datasets.ai
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the north shore of Martha's Vineyard, MA [Dataset]. https://catalog.data.gov/dataset/uncertainty-table-for-lidar-derived-shorelines-used-when-calculating-rates-in-the-digital--2f8f4
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Martha's Vineyard, Massachusetts
    Description

    The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

  10. Immigration statistics data tables, year ending December 2021

    • gov.uk
    Updated Feb 24, 2022
    + more versions
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    Home Office (2022). Immigration statistics data tables, year ending December 2021 [Dataset]. https://www.gov.uk/government/statistical-data-sets/immigration-statistics-data-tables-year-ending-december-2021
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    Dataset updated
    Feb 24, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Home Office
    Description

    The Home Office has changed the format of the published data tables for a number of areas (asylum and resettlement, entry clearance visas, extensions, citizenship, returns, detention, and sponsorship). These now include summary tables, and more detailed datasets (available on a separate page, link below). A list of all available datasets on a given topic can be found in the ‘Contents’ sheet in the ‘summary’ tables. Information on where to find historic data in the ‘old’ format is in the ‘Notes’ page of the ‘summary’ tables.

    The Home Office intends to make these changes in other areas in the coming publications. If you have any feedback, please email MigrationStatsEnquiries@homeoffice.gov.uk.

    Related content

    Immigration statistics, year ending December 2021
    Immigration Statistics Quarterly Release
    Immigration Statistics User Guide
    Publishing detailed data tables in migration statistics
    Policy and legislative changes affecting migration to the UK: timeline
    Immigration statistics data archives

    Asylum and resettlement

    https://assets.publishing.service.gov.uk/media/620f7790d3bf7f4f0981a13b/asylum-summary-dec-2021-tables.ods">Asylum and resettlement summary tables, year ending December 2021 (ODS, 79.8 KB)

    Detailed asylum and resettlement datasets

    Sponsorship

    https://assets.publishing.service.gov.uk/media/620baaef8fa8f54911e2213d/sponsorship-summary-dec-2021-tables.ods"> Sponsorship summary tables, year ending December 2021 (ODS, 45.8 KB)

    Detailed sponsorship datasets

    Entry clearance visas granted outside the UK

    https://assets.publishing.service.gov.uk/media/620d09bcd3bf7f4f0743db21/visas-summary-dec-2021-tables.ods">Entry clearance visas summary tables, year ending December 2021 (ODS, 50.7 KB)

    Detailed entry clearance visas datasets

    Passenger arrivals (admissions)

    https://assets.publishing.service.gov.uk/media/620a6c40d3bf7f4f0adec6eb/passenger-arrivals-admissions-summary-dec-2021-tables.ods"> Passenger arrivals (admissions) summary tables, year ending December 2021 (ODS, 38.1 KB)

    Detailed Passengers initially refused entry at port datasets

    Extensions

    <a class="govuk-link" href="https://assets.publishing.service.gov.uk/media/620a7995e90e0710abe648c1/extentions-summary-dec-2021-tables

  11. G

    National saving rate, quarterly, 1961 - 2012

    • open.canada.ca
    • www150.statcan.gc.ca
    • +2more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). National saving rate, quarterly, 1961 - 2012 [Dataset]. https://open.canada.ca/data/en/dataset/4118fac2-11c2-422c-a01c-6d7ad657e638
    Explore at:
    csv, xml, htmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    This table contains 18 series, with data for years 1961 - 2012 (not all combinations necessarily have data for all years), and was last released on 2012-10-01. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted at annual rates ...), Estimates (9 items: Gross investment or saving; Less: capital consumption allowances; Equals: saving and capital consumption allowances; Less: statistical discrepancy adjustment ...).

  12. d

    Uncertainty table for lidar-derived shorelines used when calculating rates...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the Outer Cape of MA [Dataset]. https://catalog.data.gov/dataset/uncertainty-table-for-lidar-derived-shorelines-used-when-calculating-rates-in-the-digital--9f13e
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data collected between 2010-2014. The first new shoreline for the state includes data from 2010 along the North Shore and South Coast from lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX). Shorelines along the South Shore and Outer Cape are from 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Shorelines along Nantucket and Martha’s Vineyard are from a 2012 U.S. Army Corps of Engineers Post Sandy Topographic lidar survey. The second new shoreline for the North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and South Coast west of Buzzards Bay is from 2013-2014 lidar data collected by the U.S. Geological Survey's (USGS) Coastal and Marine Geology Program. Shorelines were extracted from these lidar surveys using several different methods dependent on the location of the shoreline and whether or not wave data were available.

  13. Data from: (Table 2) Mass accumulation rates of sediment core PS009PC

    • doi.pangaea.de
    • search.dataone.org
    html, tsv
    Updated 2014
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    Rick Hennekam; Tom Jilbert; Bernhard Schnetger; Gert J de Lange (2014). (Table 2) Mass accumulation rates of sediment core PS009PC [Dataset]. http://doi.org/10.1594/PANGAEA.875643
    Explore at:
    html, tsvAvailable download formats
    Dataset updated
    2014
    Dataset provided by
    PANGAEA
    Authors
    Rick Hennekam; Tom Jilbert; Bernhard Schnetger; Gert J de Lange
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Variables measured
    Porosity, Sediments, Salt content, Sedimentation rate, DEPTH, sediment/rock, Accumulation rate, mass, Water content, wet mass, Paleoproductivity as carbon
    Description

    A bottom water density of 1.027 g/cm**3 and a sediment density of 2.65 g/cm**3 were used to calculate porosity and dry bulk density (DBD).

  14. d

    (Table 1) Accumulation rates of ODP Site 128-798

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 8, 2018
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    Dersch, Michaela; Stein, Ruediger (2018). (Table 1) Accumulation rates of ODP Site 128-798 [Dataset]. http://doi.org/10.1594/PANGAEA.776539
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    Dataset updated
    Jan 8, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Dersch, Michaela; Stein, Ruediger
    Time period covered
    Aug 27, 1989 - Aug 31, 1989
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/678572d99d40cd70ef4a3eb3e3383684 for complete metadata about this dataset.

  15. d

    (Table 2) Linear sedimentation rates and accumulation rates of eolian...

    • search.dataone.org
    • doi.pangaea.de
    Updated Jan 19, 2018
    + more versions
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    Hovan, Steven A; Rea, David K (2018). (Table 2) Linear sedimentation rates and accumulation rates of eolian deposits in ODP Hole 121-754A [Dataset]. http://doi.org/10.1594/PANGAEA.758943
    Explore at:
    Dataset updated
    Jan 19, 2018
    Dataset provided by
    PANGAEA Data Publisher for Earth and Environmental Science
    Authors
    Hovan, Steven A; Rea, David K
    Time period covered
    May 13, 1988 - May 15, 1988
    Area covered
    Description

    No description is available. Visit https://dataone.org/datasets/c125b3d3b1ec345a5acc95676468aca1 for complete metadata about this dataset.

  16. (Table 1) Sedimentation and carbonate accumulation rate estimates at DSDP...

    • doi.pangaea.de
    html, tsv
    Updated 1986
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    Margaret W Leinen (1986). (Table 1) Sedimentation and carbonate accumulation rate estimates at DSDP Sites 92-597, 92-598, and 92-601 [Dataset]. http://doi.org/10.1594/PANGAEA.789584
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    html, tsvAvailable download formats
    Dataset updated
    1986
    Dataset provided by
    PANGAEA
    Authors
    Margaret W Leinen
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Time period covered
    Mar 2, 1983 - Mar 25, 1983
    Area covered
    Variables measured
    AGE, Event label, Depth, top/min, Age, maximum/old, Calcium carbonate, Density, dry bulk, Depth, bottom/max, Latitude of event, Age, minimum/young, Longitude of event, and 3 more
    Description

    This dataset is about: (Table 1) Sedimentation and carbonate accumulation rate estimates at DSDP Sites 92-597, 92-598, and 92-601. Please consult parent dataset @ https://doi.org/10.1594/PANGAEA.789592 for more information.

  17. B

    Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Discount...

    • ceicdata.com
    Updated Jul 22, 2019
    + more versions
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    CEICdata.com (2019). Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Discount Duplicate: HSBC Bank Brasil S.A. Banco Multiplo [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-corporate-entities-discount-duplicate/lending-rate-per-month-prefixed-corporate-entities-discount-duplicate-hsbc-bank-brasil-sa-banco-multiplo
    Explore at:
    Dataset updated
    Jul 22, 2019
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Discount Duplicate: HSBC Bank Brasil S.A. Banco Multiplo data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Discount Duplicate: HSBC Bank Brasil S.A. Banco Multiplo data is updated daily, averaging 2.070 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 3.240 % per Month in 12 Mar 2016 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Corporate Entities: Discount Duplicate: HSBC Bank Brasil S.A. Banco Multiplo data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB019: Lending Rate: per Month: by Banks: Pre-Fixed: Corporate Entities: Discount Duplicate. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  18. T

    United States - Average Price: Wine, Red and White Table, All Sizes, Any...

    • tradingeconomics.com
    csv, excel, json, xml
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    TRADING ECONOMICS, United States - Average Price: Wine, Red and White Table, All Sizes, Any Origin (Cost per 1 Liter/33.8 Ounces) in U.S. City Average [Dataset]. https://tradingeconomics.com/united-states/wine-red-and-white-table-all-sizes-any-origin-per-1-liter-338-oz-in-us-city-average-fed-data.html
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Average Price: Wine, Red and White Table, All Sizes, Any Origin (Cost per 1 Liter/33.8 Ounces) in U.S. City Average was 13.74500 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Average Price: Wine, Red and White Table, All Sizes, Any Origin (Cost per 1 Liter/33.8 Ounces) in U.S. City Average reached a record high of 14.42000 in December of 2014 and a record low of 4.44900 in August of 1995. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Average Price: Wine, Red and White Table, All Sizes, Any Origin (Cost per 1 Liter/33.8 Ounces) in U.S. City Average - last updated from the United States Federal Reserve on June of 2025.

  19. Brazil Lending Rate: per Annum: Post-Fixed: Corporate Entities: Guaranteed...

    • ceicdata.com
    Updated Jul 3, 2019
    + more versions
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    CEICdata.com (2019). Brazil Lending Rate: per Annum: Post-Fixed: Corporate Entities: Guaranteed Account: Quero Quero Financiadora S.A. CFI [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-annum-by-banks-postfixed-corporate-entities-guaranteed-account/lending-rate-per-annum-postfixed-corporate-entities-guaranteed-account-quero-quero-financiadora-sa-cfi
    Explore at:
    Dataset updated
    Jul 3, 2019
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jun 15, 2019 - Jul 3, 2019
    Area covered
    Brazil
    Variables measured
    Lending Rate
    Description

    Brazil Lending Rate: per Annum: Post-Fixed: Corporate Entities: Guaranteed Account: Quero Quero Financiadora S.A. CFI data was reported at 0.000 % pa in 03 Jul 2019. This stayed constant from the previous number of 0.000 % pa for 02 Jul 2019. Brazil Lending Rate: per Annum: Post-Fixed: Corporate Entities: Guaranteed Account: Quero Quero Financiadora S.A. CFI data is updated daily, averaging 0.000 % pa from Jan 2012 (Median) to 03 Jul 2019, with 1866 observations. The data reached an all-time high of 0.000 % pa in 03 Jul 2019 and a record low of 0.000 % pa in 03 Jul 2019. Brazil Lending Rate: per Annum: Post-Fixed: Corporate Entities: Guaranteed Account: Quero Quero Financiadora S.A. CFI data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB050: Lending Rate: per Annum: by Banks: Post-Fixed: Corporate Entities: Guaranteed Account. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

  20. F

    Real Broad Effective Exchange Rate for Switzerland

    • fred.stlouisfed.org
    json
    Updated Jun 19, 2025
    + more versions
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    (2025). Real Broad Effective Exchange Rate for Switzerland [Dataset]. https://fred.stlouisfed.org/series/RBCHBIS
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    jsonAvailable download formats
    Dataset updated
    Jun 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    Switzerland
    Description

    Graph and download economic data for Real Broad Effective Exchange Rate for Switzerland (RBCHBIS) from Jan 1994 to May 2025 about Switzerland, broad, exchange rate, currency, real, and rate.

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CEICdata.com (2019). Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento [Dataset]. https://www.ceicdata.com/en/brazil/lending-rate-per-month-by-banks-prefixed-individuals-mortgages-with-market-rates/lending-rate-per-month-prefixed-individuals-mortgages-with-market-rates-credifibra-sa-credito-financiamento-e-investimento

Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento

Explore at:
Dataset updated
Jul 22, 2019
Dataset provided by
CEICdata.com
License

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

Time period covered
Jun 15, 2019 - Jul 3, 2019
Area covered
Brazil
Variables measured
Lending Rate
Description

Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1817 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Pre-Fixed: Individuals: Mortgages with Market Rates: Credifibra S.A. Credito Financiamento e Investimento data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB011: Lending Rate: per Month: by Banks: Pre-Fixed: Individuals: Mortgages with Market Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

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