Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2019 to 2023 for Scale Leadership Academy - East School District vs. California
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual diversity score from 2006 to 2023 for Scale School vs. North Carolina and Guilford County Schools School District
School Districts dataset current as of 2005. School District.
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.
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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.
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.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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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].
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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].
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.
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.).
Small-scale layout Statistical districts (texts) Publisher: City of Norderstedt Office for Internal Digital Services, Geoinformation
School Districts dataset current as of 2012. school districts.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
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Small-scale structural features 2018 (as of 31.12.2018) for spatial discharges from spatial reference: Statistical district
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.
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.
School Districts dataset current as of unknown.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This dataset tracks annual reduced-price lunch eligibility from 2019 to 2023 for Scale Leadership Academy vs. California and Scale Leadership Academy School District
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset tracks annual diversity score from 2019 to 2023 for Scale Leadership Academy - East School District vs. California