5 datasets found
  1. D

    Web Analytics for SFGov Sites - 2015 (Q1+Q2+Q3+Q4)

    • data.sfgov.org
    • s.cnmilf.com
    • +2more
    application/rdfxml +5
    Updated Jan 8, 2016
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    (2016). Web Analytics for SFGov Sites - 2015 (Q1+Q2+Q3+Q4) [Dataset]. https://data.sfgov.org/City-Infrastructure/Web-Analytics-for-SFGov-Sites-2015-Q1-Q2-Q3-Q4-/yrfc-c5yu
    Explore at:
    xml, tsv, csv, application/rssxml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Jan 8, 2016
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Web analytics data for SFGov sites

  2. D

    Web Analytics for SFGov sites - 2016 (Q1+Q2+Q3)

    • data.sfgov.org
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Oct 5, 2016
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    (2016). Web Analytics for SFGov sites - 2016 (Q1+Q2+Q3) [Dataset]. https://data.sfgov.org/City-Infrastructure/Web-Analytics-for-SFGov-sites-2016-Q1-Q2-Q3-/iy4m-quhy
    Explore at:
    csv, application/rssxml, json, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Oct 5, 2016
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    Web Analytics for SFGov sites - 2016 (Q1+Q2+Q3)

  3. a

    San Francisco - Depth of Poverty

    • hub.arcgis.com
    Updated Jun 9, 2016
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    Civic Analytics Network (2016). San Francisco - Depth of Poverty [Dataset]. https://hub.arcgis.com/maps/3f51b74f4b7646e190b058d341b558c0
    Explore at:
    Dataset updated
    Jun 9, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    --------------------------The Civic Analytics Network collaborates on shared projects that advance the use of data visualization and predictive analytics in solving important urban problems related to economic opportunity, poverty reduction, and addressing the root causes of social problems of equity and opportunity. For more information see About the Civil Analytics Network.

  4. LoRaWAN Traffic Analysis Dataset

    • zenodo.org
    zip
    Updated Aug 28, 2023
    + more versions
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    Ales Povalac; Ales Povalac; Jan Kral; Jan Kral (2023). LoRaWAN Traffic Analysis Dataset [Dataset]. http://doi.org/10.5281/zenodo.7919213
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ales Povalac; Ales Povalac; Jan Kral; Jan Kral
    License

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

    Description

    This dataset was created by a LoRaWAN sniffer and contains packets, which are thoroughly analyzed in the paper Exploring LoRaWAN Traffic: In-Depth Analysis of IoT Network Communications (not yet published). Data from the LoRaWAN sniffer was collected in four cities: Liege (Belgium), Graz (Austria), Vienna (Austria), and Brno (Czechia).

    Gateway ID: b827ebafac000001

    • Uplink reception (end-device => gateway)
    • Only packets containing CRC, inverted IQ
    • RX0: 867.1 MHz, 867.3 MHz, 867.5 MHz, 867.7 MHz, 867.9 MHz - BW 125 kHz and all SF
    • RX1: 868.1 MHz, 868.3 MHz, 868.5 MHz - BW 125 kHz and all SF

    Gateway ID: b827ebafac000002

    • Downlink reception (gateway => end-device)
    • Includes packets without CRC, non-inverted IQ
    • RX0: 867.1 MHz, 867.3 MHz, 867.5 MHz, 867.7 MHz, 867.9 MHz - BW 125 kHz and all SF
    • RX1: 868.1 MHz, 868.3 MHz, 868.5 MHz - BW 125 kHz and all SF

    Gateway ID: b827ebafac000003

    • Downlink reception (gateway => end-device) and Class-B beacon on 869.525 MHz
    • Includes packets without CRC, non-inverted IQ
    • RX0: 869.525 MHz - BW 125 kHz and all SF, BW 125 kHz and SF9 with implicit header, CR 4/5 and length 17 B

    To open the pcap files, you need Wireshark with current support for LoRaTap and LoRaWAN protocols. This support will be available in the official 4.1.0 release. A working version for Windows is accessible in the automated build system.

    The source data is available in the log.zip file, which contains the complete dataset obtained by the sniffer. A set of conversion tools for log processing is available on Github. The converted logs, available in Wireshark format, are stored in pcap.zip. For the LoRaWAN decoder, you can use the attached root and session keys. The processed outputs are stored in csv.zip, and graphical statistics are available in png.zip.

    This data represents a unique, geographically identifiable selection from the full log, cleaned of any errors. The records from Brno include communication between the gateway and a node with known keys.

    Test file :: 00_Test

    • short test file for parser verification
    • comparison of LoRaTap version 0 and version 1 formats

    Brno, Czech Republic :: 01_Brno

    • 49.22685N, 16.57536E, ASL 306m
    • lines 150873 to 529796
    • time 1.8.2022 15:04:28 to 17.8.2022 13:05:32
    • preliminary experiment
    • experimental device
      • Device EUI: 70b3d5cee0000042
      • Application key: d494d49a7b4053302bdcf96f1defa65a
      • Device address: 00d85395
      • Network session key: c417540b8b2afad8930c82fcf7ea54bb
      • Application session key: 421fea9bedd2cc497f63303edf5adf8e

    Liege, Belgium :: 02_Liege :: evaluated in the paper

    • 50.66445N, 5.59276E, ASL 151m
    • lines 636205 to 886868
    • time 25.8.2022 10:12:24 to 12.9.2022 06:20:48

    Brno, Czech Republic :: 03_Brno_join

    • 49.22685N, 16.57536E, ASL 306m
    • lines 947787 to 979382
    • time 30.9.2022 15:21:27 to 4.10.2022 10:46:31
    • record contains OTAA activation (Join Request / Join Accept)
    • experimental device:
      • Device EUI: 70b3d5cee0000042
      • Application key: d494d49a7b4053302bdcf96f1defa65a
      • Device address: 01e65ddc
      • Network session key: e2898779a03de59e2317b149abf00238
      • Application session key: 59ca1ac91922887093bc7b236bd1b07f

    Graz, Austria :: 04_Graz :: evaluated in the paper

    • 47.07049N, 15.44506E, ASL 364m
    • lines 1015139 to 1178855
    • time 26.10.2022 06:21:07 to 29.11.2022 10:03:00

    Vienna, Austria :: 05_Wien :: evaluated in the paper

    • 48.19666N, 16.37101E, ASL 204m
    • lines 1179308 to 3657105
    • time 1.12.2022 10:42:19 to 4.1.2023 14:00:05
    • contains a total of 14 short restarts (under 90 seconds)

    Brno, Czech Republic :: 07_Brno :: evaluated in the paper

    • 49.22685N, 16.57536E, ASL 306m
    • lines 4969648 to 6919392
    • time 16.2.2023 8:53:43 to 30.3.2023 9:00:11
  5. a

    A Simple Map of Future Population Growth and Decline

    • hub.arcgis.com
    Updated Oct 20, 2016
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    Civic Analytics Network (2016). A Simple Map of Future Population Growth and Decline [Dataset]. https://hub.arcgis.com/maps/civicanalytics::a-simple-map-of-future-population-growth-and-decline
    Explore at:
    Dataset updated
    Oct 20, 2016
    Dataset authored and provided by
    Civic Analytics Network
    Area covered
    Description

    Population growth drives increasing demand for housing, jobs, food, education, transportation and many services. Population decline is the flip side of that dynamic, creating its own pressures on local business, government, housing and people.This map shows which areas are under significant pressure from population growth or decline. As the population of the U.S. continues to grow, the cities and the suburbs are experiencing changes in their population density. This map shows areas of declining density in brown, and high growth in dark green.Red areas will lose population by 2015, while green areas will grow. Darker green areas will grow more than 1.25% per year. Click on the map for details about an area. Use this map as a backdrop for your organization's locations, services areas, or other subjects. There is also a simple app showing this web map.You candownload the data from this map package.

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(2016). Web Analytics for SFGov Sites - 2015 (Q1+Q2+Q3+Q4) [Dataset]. https://data.sfgov.org/City-Infrastructure/Web-Analytics-for-SFGov-Sites-2015-Q1-Q2-Q3-Q4-/yrfc-c5yu

Web Analytics for SFGov Sites - 2015 (Q1+Q2+Q3+Q4)

Explore at:
xml, tsv, csv, application/rssxml, json, application/rdfxmlAvailable download formats
Dataset updated
Jan 8, 2016
License

ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically

Description

Web analytics data for SFGov sites

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