100+ datasets found
  1. p

    Trends in Diversity Score (2019-2023): Scale Leadership Academy - East...

    • publicschoolreview.com
    Updated Jun 3, 2025
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    Public School Review (2025). Trends in Diversity Score (2019-2023): Scale Leadership Academy - East School District vs. California [Dataset]. https://www.publicschoolreview.com/california/scale-leadership-academy-east-school-district/601897-school-district
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    California
    Description

    This dataset tracks annual diversity score from 2019 to 2023 for Scale Leadership Academy - East School District vs. California

  2. g

    Geocoordinates of the district boundaries / Geometry data of the small-scale...

    • gimi9.com
    Updated Mar 6, 2025
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    (2025). Geocoordinates of the district boundaries / Geometry data of the small-scale area division | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_9a43fb74-aeef-48a3-bc5b-d7f2c4cab449/
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    Dataset updated
    Mar 6, 2025
    Description

    This dataset contains the boundaries of the small-area division as shape files and PDF. The "Statistical Division of Territories" serves for a spatially differentiated, subject-neutral view of the urban area. This classification forms the basis for the analysis of different spatial information about spatial affiliation. The city is hierarchically divided into six levels from the entire city to individual block pages: Level 1: 6 boroughs of which only "Münster-Mitte" is further subdivided into 4 subdivisions

  3. p

    Trends in Diversity Score (2006-2023): Scale School vs. North Carolina vs....

    • publicschoolreview.com
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    Public School Review, Trends in Diversity Score (2006-2023): Scale School vs. North Carolina vs. Guilford County Schools School District [Dataset]. https://www.publicschoolreview.com/scale-school-profile
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    Dataset authored and provided by
    Public School Review
    License

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

    Area covered
    Guilford County Schools, Guilford County, North Carolina
    Description

    This dataset tracks annual diversity score from 2006 to 2023 for Scale School vs. North Carolina and Guilford County Schools School District

  4. w

    School Districts, School District, Published in 2005, 1:4800 (1in=400ft)...

    • data.wu.ac.at
    Updated Dec 14, 2017
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    NSGIC Local Govt | GIS Inventory (2017). School Districts, School District, Published in 2005, 1:4800 (1in=400ft) scale, Bayfield County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/YWEwM2NkNDctNzAzYS00MmUwLTkzYzItZTA1MWE0ODZjMjFh
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    Dataset updated
    Dec 14, 2017
    Dataset provided by
    NSGIC Local Govt | GIS Inventory
    Area covered
    786805441405f206aa93a85a3efdfd97d519916e
    Description

    School Districts dataset current as of 2005. School District.

  5. e

    district

    • data.europa.eu
    csv, geojson, html +4
    Updated Oct 1, 2024
    + more versions
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    Antwerpen (2024). district [Dataset]. https://data.europa.eu/88u/dataset/https-www-arcgis-com-home-item-html-id-8a36fae23d574f9ba0c26ba16747da0e-sublayer-109
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    unknown, csv, geojson, kml, zip, json, htmlAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset authored and provided by
    Antwerpen
    Description

    Summary: Delimitation of the districts, the division of the territory of the city of Antwerp with its own competence at local level. Purpose: The dataset forms the large-scale basis of the Geographic Information System of the city of Antwerp, as a support tool for the services and policies of the various services or business units. Creation: The district border was determined on the basis of the mid-scale district border and corrected where necessary on the basis of the buildings, plots and roads from the large-scale base map. The boundaries of the districts with the adjacent municipalities coincide with the city boundary.

  6. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    gz
    Updated Feb 1, 2001
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2001). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/89b2186d20644d52bb5f57046d8ac172/html
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    gzAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States,
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  7. g

    India 1:250,000 Scale District Geological Maps

    • shop.geospatial.com
    Updated Apr 13, 2022
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    (2022). India 1:250,000 Scale District Geological Maps [Dataset]. https://shop.geospatial.com/publication/CJEZ4QXH9H6Q4VYPR0N8AQ5N52/India-1-to-250000-Scale-District-Geological-Maps
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    Dataset updated
    Apr 13, 2022
    Area covered
    India
    Description

    Spatial coverage index compiled by East View Geospatial of set "India 1:250,000 Scale District Geological Maps". Source data from GSI (publisher). Type: Geoscientific - Geology. Scale: 1:250,000. Region: Asia.

  8. O

    Area - Small Scale

    • data.oregon.gov
    • catalog.data.gov
    • +1more
    application/rdfxml +5
    Updated Jan 29, 2025
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    (2025). Area - Small Scale [Dataset]. https://data.oregon.gov/dataset/Area-Small-Scale/kk6v-i3ks
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    csv, json, tsv, application/rssxml, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jan 29, 2025
    Description

    The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000 scale and exists at that scale for the whole country. High resolution NHD adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Like the 1:100,000-scale NHD, high resolution NHD contains reach codes for networked features and isolated lakes, flow direction, names, stream level, and centerline representations for areal water bodies. Reaches are also defined to represent waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria set out by the Federal Geographic Data Committee.

  9. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    gz
    Updated Feb 1, 2001
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    U.S. Geological Survey, National Geospatial Technical Operations Center (2001). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/2627e02f851c4089b77609ffac72e6bb/html
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    gzAvailable download formats
    Dataset updated
    Feb 1, 2001
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States,
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  10. m

    The aggregation of objects representing Katowice district buildings - scale...

    • mostwiedzy.pl
    zip
    Updated Apr 27, 2021
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    Adam Inglot (2021). The aggregation of objects representing Katowice district buildings - scale 1:10000 [Dataset]. http://doi.org/10.34808/262p-d536
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    zipAvailable download formats
    Dataset updated
    Apr 27, 2021
    Authors
    Adam Inglot
    License

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

    Area covered
    Katowice
    Description

    The process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].

  11. m

    The aggregation of objects representing Gdańsk district buildings - scale...

    • mostwiedzy.pl
    zip
    Updated Apr 27, 2021
    + more versions
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    Adam Inglot (2021). The aggregation of objects representing Gdańsk district buildings - scale 1:25000 [Dataset]. http://doi.org/10.34808/wnpf-p026
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    zip(9310990)Available download formats
    Dataset updated
    Apr 27, 2021
    Authors
    Adam Inglot
    License

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

    Area covered
    Gdańsk
    Description

    The process of automatic generalization is one of the elements of spatial data preparation for the purpose of creating digital cartographic studies. The presented data include a part of the process of generalization of building groups obtained from the national geodesy and cartography resource from BDOT10k (10k topographic database) [1].

  12. Amistad National Recreation Area Small-Scale Base GIS Data

    • catalog.data.gov
    Updated Jun 5, 2024
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    National Park Service (2024). Amistad National Recreation Area Small-Scale Base GIS Data [Dataset]. https://catalog.data.gov/dataset/amistad-national-recreation-area-small-scale-base-gis-data
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    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Description

    This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

  13. C

    Numerical Technical Paper scale 1:2000 Sicilian Region - CART2000

    • ckan.mobidatalab.eu
    Updated Apr 29, 2023
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    GeoDatiGovIt RNDT (2023). Numerical Technical Paper scale 1:2000 Sicilian Region - CART2000 [Dataset]. https://ckan.mobidatalab.eu/dataset/numerical-technical-paper-scale-1-2000-region-of-sicily-cart2000
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    Dataset updated
    Apr 29, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Area covered
    Sicily
    Description

    In 2003, the Urban Planning Department of the Regional Territory and Environment Department under Measure 5.05 of the P.O.R. Sicily 2000-2006 started the realization of digital cartography project at 1:2000 scale G.I.S. of the urban centers of the entire Region called CART2000. The realization took place through 4 cartographic lots called 1-2-3-4 and according to specific tender specifications. The Numerical Technical Map in 1:2000 scale, represented in the Gauss projection, it is included in the Regional Technical Paper at a scale of 1:10,000, therefore each sheet at a scale of 1:2000 will be equal to the 25th part of the CTR section. Planimetric tolerances:- The maximum permissible error (tolerance) in the planimetric position of clearly identifiable points on the map with respect to the same points on the ground, the position of which has been determined with measurements of sufficient precision, is : 0.80 m. - The maximum error (tolerance td) from which the measurement of the distance D between two well-identified points, taken from the map, highlighted with high-precision measurements, may be affected is: td ( 0.60 + D/1000 ) m., if it is D 600 m., td 1.20 m. if it is D > 600 m. Altimetric tolerance - The maximum error (tolerance) th which the elevation of an isolated point, shown on the map, highlighted on the basis of high precision measurements, may be affected by is: th = m.0.60. The tolerances for the unevenness are: tq 0,60m. +D/1000m. for D 300 m.tq 0,90m. for D > 300 m. The maximum error (tolerance) tcl which the height of a point belonging to a contour line may be affected is: tcl m. 0.90 For the contour lines traced in those parts of the ground covered by dense perennial vegetation, the maximum error which the height of a point belonging to it may be affected is: th = half the average height of the vegetation. Each sheet at the 1:2000 scale it will be identified by a number and a name. The number will be of the XXXYYZZ type in which the first three digits designate the 1:50,000 scale sheet, the fourth and fifth designate the CTR section (from 01 to 16), the sixth and seventh designate the 1:2000 sheet. The name will normally be that of the capital municipality with subtitles indicating the area included in the survey (district, hamlet, inhabited centre, etc.).

  14. t

    Small-scale division (municipal districts) Texts - Vdataset - LDM

    • service.tib.eu
    Updated Feb 4, 2025
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    (2025). Small-scale division (municipal districts) Texts - Vdataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/govdata_0c5deac5-5f8c-4876-b5c4-a4859fea7ae3
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    Dataset updated
    Feb 4, 2025
    Description

    Small-scale layout Statistical districts (texts) Publisher: City of Norderstedt Office for Internal Digital Services, Geoinformation

  15. A

    School Districts, school districts, Published in 2012, 1:1200 (1in=100ft)...

    • data.amerigeoss.org
    • datadiscoverystudio.org
    Updated Jul 28, 2019
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    United States[old] (2019). School Districts, school districts, Published in 2012, 1:1200 (1in=100ft) scale, Dodge County Government. [Dataset]. https://data.amerigeoss.org/dataset/school-districts-school-districts-published-in-2012-1-1200-1in100ft-scale-dodge-county-governme
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    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States[old]
    Area covered
    Dodge County
    Description

    School Districts dataset current as of 2012. school districts.

  16. e

    Small-scale structural features 2018 (as of 31.12.2018) for spatial...

    • data.europa.eu
    csv
    Updated Dec 2, 2024
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    Stadt Dresden (2024). Small-scale structural features 2018 (as of 31.12.2018) for spatial discharges from spatial reference: Statistical district [Dataset]. https://data.europa.eu/data/datasets/4752?locale=en
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    csvAvailable download formats
    Dataset updated
    Dec 2, 2024
    Dataset authored and provided by
    Stadt Dresden
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    Small-scale structural features 2018 (as of 31.12.2018) for spatial discharges from spatial reference: Statistical district

  17. a

    R&D (large scale)

    • gis-mhfd.hub.arcgis.com
    Updated Dec 7, 2023
    + more versions
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    Mile High Flood District (2023). R&D (large scale) [Dataset]. https://gis-mhfd.hub.arcgis.com/datasets/rd-large-scale
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    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Mile High Flood District
    Area covered
    Description

    The intent of the ProjectType Map Service is to provide a view of the Mile High Flood District project data that is visually intuitive. Each project type is filtered into toggleable layers that are styled for two map ranges (Less than 1:24:000 (small map scales) and Greater than 1:24,000 (larger map scales).For a comprehensive download of all projects, please use the Project Feature Service, available in MHFD's open data portal.

  18. flux1.1-likert-scale-preference

    • huggingface.co
    Updated Feb 7, 2025
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    Rapidata (2025). flux1.1-likert-scale-preference [Dataset]. https://huggingface.co/datasets/Rapidata/flux1.1-likert-scale-preference
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    Rapidata AG
    Authors
    Rapidata
    Description

    Flux1.1 Likert Scale Text-to-Image Alignment Evaluation

    This dataset contains images generated using Flux1.1 [pro] based on the prompts from our text-to-image generation benchmark. Where the benchmark generally focuses on pairwise comparisons to rank different image generation models against each other, this Likert-scale dataset focuses on one particular model and aims to reveal the particular nuances and highlight strong and weaks points of the model. If you get value from this… See the full description on the dataset page: https://huggingface.co/datasets/Rapidata/flux1.1-likert-scale-preference.

  19. School Districts, Published in Not Provided, 1:2400 (1in=200ft) scale,...

    • data.wu.ac.at
    Updated Aug 19, 2017
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    NSGIC Local Govt | GIS Inventory (2017). School Districts, Published in Not Provided, 1:2400 (1in=200ft) scale, Columbia County Government. [Dataset]. https://data.wu.ac.at/schema/data_gov/YTQ2MTQ5MWItYTlhZi00MzYyLThkOWQtNDk0NWJmODliZGJm
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    Dataset updated
    Aug 19, 2017
    Dataset provided by
    National States Geographic Information Council
    Area covered
    f7eba494025a367a1654bf20de66e737a6a6ff8c
    Description

    School Districts dataset current as of unknown.

  20. p

    Trends in Reduced-Price Lunch Eligibility (2019-2023): Scale Leadership...

    • publicschoolreview.com
    Updated Nov 15, 2022
    + more versions
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    Public School Review (2022). Trends in Reduced-Price Lunch Eligibility (2019-2023): Scale Leadership Academy vs. California vs. Scale Leadership Academy School District [Dataset]. https://www.publicschoolreview.com/scale-leadership-academy-profile
    Explore at:
    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for Scale Leadership Academy vs. California and Scale Leadership Academy School District

Share
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Link copied
Close
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Public School Review (2025). Trends in Diversity Score (2019-2023): Scale Leadership Academy - East School District vs. California [Dataset]. https://www.publicschoolreview.com/california/scale-leadership-academy-east-school-district/601897-school-district

Trends in Diversity Score (2019-2023): Scale Leadership Academy - East School District vs. California

Explore at:
Dataset updated
Jun 3, 2025
Dataset authored and provided by
Public School Review
License

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

Area covered
California
Description

This dataset tracks annual diversity score from 2019 to 2023 for Scale Leadership Academy - East School District vs. California

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