100+ datasets found
  1. D

    Dataset Alerts - Open and Monitoring

    • datasf.org
    • data.sfgov.org
    • +1more
    application/rdfxml +5
    Updated Jun 20, 2025
    + more versions
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    (2025). Dataset Alerts - Open and Monitoring [Dataset]. https://datasf.org/opendata/
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    json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Jun 20, 2025
    License

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

    Description

    A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

  2. h

    opendata

    • huggingface.co
    Updated Apr 1, 2024
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    Riley (2024). opendata [Dataset]. https://huggingface.co/datasets/rileyhilliard/opendata
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    Dataset updated
    Apr 1, 2024
    Authors
    Riley
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    rileyhilliard/opendata dataset hosted on Hugging Face and contributed by the HF Datasets community

  3. P

    OpenData All

    • data.pompanobeachfl.gov
    html
    Updated Sep 13, 2018
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    External Datasets (2018). OpenData All [Dataset]. https://data.pompanobeachfl.gov/dataset/opendata-all
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 13, 2018
    Dataset provided by
    cjennings_BCGIS
    Authors
    External Datasets
    Description

    {{description}}

  4. c

    Settore Ateco O - Imprese Attive in Italia per Territorio e Tempo (mensile)

    • opendata.marche.camcom.it
    jsonld
    Updated Jun 16, 2025
    + more versions
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    Fabio Castelletti (2025). Settore Ateco O - Imprese Attive in Italia per Territorio e Tempo (mensile) [Dataset]. https://opendata.marche.camcom.it/
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    jsonldAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Camera di Commercio delle Marche su dati InfoCamere
    Authors
    Fabio Castelletti
    License

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

    Time period covered
    Apr 30, 2025 - May 31, 2025
    Area covered
    Italy
    Description

    Settore Ateco O: AttivitĂ  amministrative e di servizi di supporto - Stock Sedi di Impresa Attive in Italia per Territorio (Province e Regioni) e Tempo (Frequenza Mensile, Valori fine periodo)

  5. c

    Sample with jet properties for jet-flavor and other jet-related ML studies...

    • opendata.cern.ch
    • opendata-dev.cern.ch
    Updated 2019
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    Kallonen, Kimmo (2019). Sample with jet properties for jet-flavor and other jet-related ML studies JetNTuple_QCD_RunII_13TeV_MC [Dataset]. http://doi.org/10.7483/OPENDATA.CMS.RY2V.T797
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    Dataset updated
    2019
    Dataset provided by
    CERN Open Data Portal
    Authors
    Kallonen, Kimmo
    Description

    The dataset consists of particle jets extracted from simulated proton-proton collision events at a center-of-mass energy of 13 TeV generated with Pythia 8. The particles emerging from the collisions traverse through a simulation of the CMS detector. The particles were reconstructed from the simulated detector signals using the particle-flow (PF) algorithm. The reconstructed particles are also called PF candidates. The jets in this dataset were clustered from the PF candidates of each collision event using the anti-$k_t$ algorithm with distance parameter $R = 0.4$. The standard L1+L2+L3+residual jet energy corrections are applied to the jets and pileup contamination is mitigated using the charged hadron subtraction (CHS) algorithm.

    From each collision event, only those jets with transverse momentum exceeding 30 GeV were saved to file. The jets were also required to have pseudorapidity of less than 2.5 (this indicates the jet's position in the detector). For each jet, there are variables describing the jet on a high-level, particle-level and generator-level. There are also some variables describing the collision event and the conditions of its simulation. All of the variables are saved on a jet-by-jet basis, which means that one row of data corresponds to one jet.

    The origin of a jet is particularly interesting. This so-called flavor of the jet is obtained from the generator-level particles by a jet flavor algorithm, which attempts to match a reconstructed jet to a single initiating particle. As a consequence, the jet flavor definition depends on the chosen algorithm. Here three different flavor definitions are available. The ‘hadron’ definition identifies b- and c-hadrons from the jet’s constituents, so it is only useful for b-tagging studies. The ‘parton’ definition extends this to include the light jet flavors (u, d, s and gluon). Finally there is the ‘physics’ definition, which looks at the quarks and gluons of the initial collision. The ‘parton’ and ‘physics’ definitions both identify all jet flavors, but the former is more biased towards b- and c-quarks. If in doubt, it is recommended to use the ‘physics’ definition.

  6. a

    County Tax Parcel OpenData

    • hub.arcgis.com
    • data-ocgis.opendata.arcgis.com
    Updated May 30, 2024
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    Outagamie County (2024). County Tax Parcel OpenData [Dataset]. https://hub.arcgis.com/datasets/bb75d37119b1445b91321071ab11237c
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    Dataset updated
    May 30, 2024
    Dataset authored and provided by
    Outagamie County
    Area covered
    Description

    County tax parcel polygon including ownership information.

  7. a

    ParksandRecreation OpenData

    • hub.arcgis.com
    • data-ocgis.opendata.arcgis.com
    Updated Jun 3, 2024
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    Outagamie County (2024). ParksandRecreation OpenData [Dataset]. https://hub.arcgis.com/datasets/342a10f9c5d5430d91b7028f4695f6f8
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    Outagamie County
    Area covered
    Description

    Recreation areas within Outagamie County including trails owned by Outagamie County.

  8. Speedtest by Ookla Global Fixed and Mobile Network Performance Maps

    • registry.opendata.aws
    Updated Sep 30, 2020
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    Ookla (2020). Speedtest by Ookla Global Fixed and Mobile Network Performance Maps [Dataset]. https://registry.opendata.aws/speedtest-global-performance/
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    Dataset updated
    Sep 30, 2020
    Dataset provided by
    Ooklahttps://www.ookla.com/
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    Global fixed broadband and mobile (cellular) network performance, allocated to zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Data is provided in both Shapefile format as well as Apache Parquet with geometries represented in Well Known Text (WKT) projected in EPSG:4326. Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy.

  9. c

    Settore Ateco E - Imprese Attive in Italia per Territorio e Tempo (mensile)

    • opendata.marche.camcom.it
    jsonld
    Updated Jun 16, 2025
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    Fabio Castelletti (2025). Settore Ateco E - Imprese Attive in Italia per Territorio e Tempo (mensile) [Dataset]. https://opendata.marche.camcom.it/
    Explore at:
    jsonldAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Camera di Commercio delle Marche su dati InfoCamere
    Authors
    Fabio Castelletti
    License

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

    Time period covered
    Apr 30, 2025 - May 31, 2025
    Area covered
    Italy
    Description

    Settore Ateco E: Fornitura di acqua, gestione di reti fognarie, attivitĂ  di trattamento dei rifiuti e risanamento - Stock Sedi di Impresa Attive in Italia per Territorio (Province e Regioni) e Tempo (Frequenza Mensile, Valori fine periodo)

  10. OpenStreetMap on AWS

    • registry.opendata.aws
    Updated May 9, 2025
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    OpenStreetMap Foundation (OSMF) and Pacific Atlas (2025). OpenStreetMap on AWS [Dataset]. https://registry.opendata.aws/osm/
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    Dataset updated
    May 9, 2025
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Description

    OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3 in both standard formats (OSM PBF, XML) and cloud-native formats optimized for analytics workloads.

  11. c

    Vehicle Parking Area

    • opendata.charlottesville.org
    • data-charlottesville.opendata.arcgis.com
    • +3more
    Updated May 23, 2017
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    City of Charlottesville (2017). Vehicle Parking Area [Dataset]. https://opendata.charlottesville.org/datasets/vehicle-parking-area
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    Dataset updated
    May 23, 2017
    Dataset authored and provided by
    City of Charlottesville
    License

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

    Area covered
    Description

    This Vehicle Parking Area layer is continually updated on a daily basis by City staff. Location data for Vehicle Parking Area are received/maintained by NDS staff (from various sources, such as updated orthos, GPS, plats, etc.) and incorporated into this layer.

  12. a

    Fees And Charges

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • data.cityofsacramento.org
    • +3more
    Updated Jan 24, 2024
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    City of Sacramento (2024). Fees And Charges [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/SacCity::fees-and-charges
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    Dataset updated
    Jan 24, 2024
    Dataset authored and provided by
    City of Sacramento
    Description

    The Open Data portal is a searchable listing of all the City's fees and charges. All entries reflect the City Council's direction regarding recovery of costs to provide programs and services.

  13. OpenStreetMap

    • opendata.rcmrd.org
    • pacificgeoportal.com
    • +35more
    Updated Jun 22, 2018
    + more versions
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    Esri (2018). OpenStreetMap [Dataset]. https://opendata.rcmrd.org/maps/fae788aa91e54244b161b59725dcbb2a
    Explore at:
    Dataset updated
    Jun 22, 2018
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of December 2024. See blog for more information.This world basemap presents OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered using OSM cartography. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.

  14. a

    OpenData

    • town-of-erie-co-new-site-erieco.hub.arcgis.com
    Updated Feb 1, 2020
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    TOEGIS (2020). OpenData [Dataset]. https://town-of-erie-co-new-site-erieco.hub.arcgis.com/maps/586ad3a2282f4791aa72238c104ba9d8
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    Dataset updated
    Feb 1, 2020
    Dataset authored and provided by
    TOEGIS
    Area covered
    Description

    Erie Open Data

  15. d

    portalReferenceService

    • data.go.kr
    xml
    Updated Feb 10, 2023
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    (2023). portalReferenceService [Dataset]. https://www.data.go.kr/en/data/15059351/openapi.do
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    xmlAvailable download formats
    Dataset updated
    Feb 10, 2023
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    The inventory information in which the public institution enrolls and which it is opening in open data Portal (the organization name, open data name, open data description, classfication, and data type (the file and API))Provide Reul.

  16. O

    Maryland Real Property Assessments: Fields Reference

    • opendata.maryland.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Sep 14, 2017
    + more versions
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    Department of Information Technology (2017). Maryland Real Property Assessments: Fields Reference [Dataset]. https://opendata.maryland.gov/Business-and-Economy/Maryland-Real-Property-Assessments-Fields-Referenc/w8th-47fz
    Explore at:
    csv, tsv, application/rssxml, xml, json, application/rdfxmlAvailable download formats
    Dataset updated
    Sep 14, 2017
    Dataset authored and provided by
    Department of Information Technology
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Maryland
    Description

    This dataset is a supplement to the statewide dataset of Real Property Assessments, at https://opendata.maryland.gov/d/ed4q-f8tm, which shows all properties in the state and assessment data from SDAT and MDP.

  17. c

    Settore Ateco A - Imprese Attive in Italia per Territorio e Tempo (mensile)

    • opendata.marche.camcom.it
    jsonld
    Updated Jun 16, 2025
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    Fabio Castelletti (2025). Settore Ateco A - Imprese Attive in Italia per Territorio e Tempo (mensile) [Dataset]. https://opendata.marche.camcom.it/
    Explore at:
    jsonldAvailable download formats
    Dataset updated
    Jun 16, 2025
    Dataset provided by
    Camera di Commercio delle Marche su dati InfoCamere
    Authors
    Fabio Castelletti
    License

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

    Time period covered
    Apr 30, 2025 - May 31, 2025
    Area covered
    Italy
    Description

    Settore Ateco A: Agricoltura, silvicoltura e pesca - Stock Sedi di Impresa Attive in Italia per Territorio (Province e Regioni) e Tempo (Frequenza Mensile, Valori fine periodo)

  18. e

    Open GeoData Braunschweig — Free maps and other geodata on the Internet...

    • data.europa.eu
    Updated May 11, 2024
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    (2024). Open GeoData Braunschweig — Free maps and other geodata on the Internet (data series) [Dataset]. https://data.europa.eu/data/datasets/e2402a04-aa17-4394-94bb-11453cd8f5a7?locale=en
    Explore at:
    Dataset updated
    May 11, 2024
    Area covered
    Braunschweig
    Description

    The city of Braunschweig provides selected map material as georeferenced grid data for free. The data can be used free of charge by anyone for a wide variety of uses, e.g. as teaching material, for directions on websites and flyers, for printing edited map sections or for linking to other map material and other geodata. The data can also be used in graphic programs and geographic information systems. The use is also conceivable in map applications or apps. The spatial data are subject to copyright law and are provided by the City of Braunschweig as the rightholder under the “Data License Germany — Attribution — Version 2.0” used nationwide. Both private and commercial uses are allowed. The city of Braunschweig is very interested in information on the use and reuse of the data. These can be communicated at opengeodata@braunschweig.de.

  19. C

    MaGIC Sheet 40 Cirò - Level 2,3,4 (RNDT Dataset) - Version 2.0

    • ckan.mobidatalab.eu
    tif
    Updated Apr 27, 2023
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    GeoDatiGovIt RNDT (2023). MaGIC Sheet 40 Cirò - Level 2,3,4 (RNDT Dataset) - Version 2.0 [Dataset]. https://ckan.mobidatalab.eu/dataset/magic-sheet-40-ciro-level-234-rndt-dataset-version-2-0
    Explore at:
    tifAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    Representation of only the georeferenced map relating to the sheet considered, for the three levels described below:Level 2: Morphological Units (MU)They represent large units within which morphological traits (Level 3 EM) are grouped, even if different but whose predominance it is characterizing and indicative of certain geological processes or phenomena. Level 3: Morphobathymetric Elements (EM) They represent individual, physically distinct morphological elements that can be specifically associated with a precise geological process or, in some cases, with processes that cannot be determined on an exclusively morphobathymetric basis. In this case the genesis of the EM remains undefined. Level 4: Critical Points They represent one or more Level 3 EMs which, in the interpreter's opinion, indicate the existence of a risk, understood as a concrete possibility that, if a specific event should occur, it could harm people and/or infrastructures (even if it is impossible to specify the probability and in what times such an event could occur).

  20. a

    Data from: Education Centers

    • opendata.aacounty.org
    • hub.arcgis.com
    Updated Oct 30, 2019
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    Anne Arundel County, MD (2019). Education Centers [Dataset]. https://opendata.aacounty.org/datasets/education-centers-1
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    Dataset updated
    Oct 30, 2019
    Dataset authored and provided by
    Anne Arundel County, MD
    Area covered
    Description

    This layer gives the location of elementary, middle, high, private, college, and librarys in Anne Arundel County, MD.

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(2025). Dataset Alerts - Open and Monitoring [Dataset]. https://datasf.org/opendata/

Dataset Alerts - Open and Monitoring

Explore at:
78 scholarly articles cite this dataset (View in Google Scholar)
json, application/rssxml, csv, tsv, xml, application/rdfxmlAvailable download formats
Dataset updated
Jun 20, 2025
License

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

Description

A log of dataset alerts open, monitored or resolved on the open data portal. Alerts can include issues as well as deprecation or discontinuation notices.

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