Texas School Districts Comprehensive Educational Dataset

  🎯 Dataset Summary

This is the most comprehensive Texas K-12 educational dataset available, containing detailed administrative, academic, and operational data from 19 major Texas school districts. The dataset provides structured tabular data suitable for educational research, policy analysis, and data science applications.

  📊 Dataset Details

Total Records: 13,222 Districts Covered: 19 major Texas… See the full description on the dataset page: https://huggingface.co/datasets/robworks-software/texas-school-districts-administration-data.

The Database, Storage & Backup Software Publishing industry in Texas is expected to grow an annualized x% to $x.x billion over the five years to 2025, while the national industry will likely grow at x.x% during the same period. Industry establishments increased an annualized x.x% to xxx locations. Industry employment has increased an annualized x.x% to x,xxx workers, while industry wages have increased an annualized x.x% to $x.x billion.

Texas TEKS Performance Analytics - Real Data Metrics

  📋 Dual Licensing Model - Legal Framework

Based on software-legal-counsel agent recommendation for balancing public educational access with commercial attribution requirements.

  ⚖️ License Selection Guide

This dataset uses a dual licensing model to maximize educational accessibility while ensuring appropriate commercial attribution:

  🎓 Educational/Research Use: CC BY 4.0

Use this license if you are:… See the full description on the dataset page: https://huggingface.co/datasets/RobworksSoftware/texas-teks-ultimate-real-data-enhanced-performance-analytics.

Building permit data for Texas including Dallas–Fort Worth, Houston, Austin, San Antonio, El Paso, and more (where available).

A spreadsheet of information about computers: hardware; software; memory; disk; power; temp

Context

Sharing economy and vacation rentals are among the hottest topics that has touched millions of lives across the globe. Airbnb has been instrumental in this space and currently operating in more than 191 countries. Hence, it'd be good idea to analyze this data and uncover insights.

Content

Dataset contains more than 18,000 property listings from Texas, United Staes. Given below are the data fields:

Rate per night Number of bedrooms City Joining month and year Longitude Latitude Property description Property title Property URL

The Airbnb data was extracted by PromptCloud’s Data-as-a-Service solution.

Initial Analysis

The following article covers spatial data visualization and topic modelling of the description text: http://www.kdnuggets.com/2017/08/insights-data-mining-airbnb.html

Inspiration

Some of the interesting analysis are related to spatial mapping and text mining of the description text apart from the exploratory analysis.

West Texas Mesonet Agro-Climate Monitor shows the precipitation, temperature, weather forecast for mesonet stations in West Texas. Although dependent on rainfall and other climate factors to produce crops, West Texas crop consultants, extension agents, and agricultural producers have few tools that allow them to track the current growing season’s climate conditions and determine how current conditions compare with those of past years. The West Texas Mesonet Agro-Climate Monitor (ACM), a JavaScript web application based on daily data from Texas Tech University’s mesonet weather station network, was designed to meet this need. By displaying continuously updated information on variables such as soil temperature, cumulative growing degree days (GDD), cumulative precipitation, and first freeze dates, the ACM allows producers to monitor planting conditions, track crop development, and compare current conditions with those during the previous 10 yr’s growing seasons. In illustrating how mesonet data might be used as an operational climate data resource, the ACM might also serve as a conceptual model for other high resolution climate tools that estimate measures of current climate using continuously updated daily data sets. Resources in this dataset:Resource Title: West Texas Mesonet Agro-Climate Monitor. File Name: Web Page, url: https://www.ars.usda.gov/research/software/download/?softwareid=484&modecode=30-96-05-00 download page

About this Dataset

Carefully curated list of “Software Consultant / Software Companies” in Dallas (TX). We strive to keep our customers satisfied, so they no longer have to worry about finding quality leads. Which is why we offer a 100% data guarantee. If there is any information missing or incorrect we will replace it for you. Contact us immediately. What you will find below: - Contact Name - Company - Email - Contact no. & more

Category

Lead Generation

Keywords

Dallas Software Consultant,Texas Software Consultant,Dallas Software Companies,Texas Software Companies,US Software Consultant

Row Count

103

Price

$129.00

Texas Survey System (TXSS) Data for use with GIS mapping software, databases, and web applications are from Caliper Corporation and contain boundaries for Texas RRC Districts, Texas Bay Tracts, and Texas Land Survey Layer.

The Digital Geologic-GIS Map of the Hye Quadrangle, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (hye_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (hye_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (lyjo_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (lyjo_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (hye_geology_metadata_faq.pdf). Please read the lyjo_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (hye_geology_metadata.txt or hye_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas was 20174.40000 Mil. of $ in January of 2024, according to the United States Federal Reserve. Historically, Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas reached a record high of 20174.40000 in January of 2024 and a record low of 4325.30000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas - last updated from the United States Federal Reserve on December of 2025.

Real Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas was 21066.40000 Mil. of Chn. 2009 $ in January of 2024, according to the United States Federal Reserve. Historically, Real Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas reached a record high of 21066.40000 in January of 2024 and a record low of 3521.60000 in January of 1997. Trading Economics provides the current actual value, an historical data chart and related indicators for Real Gross Domestic Product: Publishing Industries (Except Internet) (NAICS 511) in Texas - last updated from the United States Federal Reserve on November of 2025.

Additional Information DisclaimerAlthough the data have been subjected to standard TWDB review protocols and are substantially complete, the TWDB reserves the right to revise the data pursuant to further analysis and review. All groundwater availability modeling data were developed for regional scale use only, and should not be used for local scale or individual site locations. Furthermore, the data are released on condition that neither the TWDB nor the State of Texas shall be held liable for any damages resulting from their authorized or unauthorized use. Additional InformationThe data was compressed into 7-Zip format for efficient downloading. The TWDB uses 7-Zip 21.07 to compress data files and should be compatible with most zip file format utility software. You may also use Google to search for other free alternative zip file format utility software. Please note that any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the TWDB nor the State of Texas. Program AreaGroundwater Modeling Supporting URLs https://www.twdb.texa...els/gam/igbl/igbl.asp Copy https://www.twdb.texa...eous%20Aquifers%20GAM Copy https://www.twdb.texa...ater/models/index.asp Copy https://www.twdb.te... COPY https://www.twdb.te... COPY https://www.twdb.te... COPY Data Contact Emailgam@twdb.texas.gov

Additional Information DisclaimerAlthough the data have been subjected to standard TWDB review protocols and are substantially complete, the TWDB reserves the right to revise the data pursuant to further analysis and review. All groundwater availability modeling data were developed for regional scale use only, and should not be used for local scale or individual site locations. Furthermore, the data are released on condition that neither the TWDB nor the State of Texas shall be held liable for any damages resulting from their authorized or unauthorized use. Additional InformationThe data was compressed into 7-Zip format for efficient downloading. The TWDB uses 7-Zip 21.07 to compress data files and should be compatible with most zip file format utility software. You may also use Google to search for other free alternative zip file format utility software. Please note that any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the TWDB nor the State of Texas. Program AreaGroundwater Modeling Supporting URLs https://www.twdb.texa...els/gam/bzrv/bzrv.asp Copy https://www.twdb.texa...uvium%20Aquifer%20GAM Copy https://www.twdb.texa...ater/models/index.asp Copy https://www.twdb.te... COPY https://www.twdb.te... COPY https://www.twdb.te... COPY Data Contact Emailgam@twdb.texas.gov

The Fishes of Texas Project aims to provide reliable occurrences of fishes from the entire extents of all the drainage basins that intersect Texas. Starting in 2006, with the database of specimens held in the University of Texas' Ichthyology Collection (TNHCi), we added specimen data collected from our study area from all of the museums we could find to create the initial version of the Fishes of Texas database. At the time, many of those were not online and all had their data in diverse formats and development of biodiversity data standards was in its infancy. We laboriously compiled these disparate sources into a schema derived from that of the Specify Collections Management software. We retain the verbatim data received from the data donors, but then did our own processing and quality control starting by normalizing formats and taxonomy. We manually georeferenced all localities, allowing us to map species to find outliers and, as possible, examined specimens and corrected determinations for misidentified specimens. We photographed specimens and original labels of many specimens examined. Uncertainty in dates is expressed using begin and end dates. Uncertainty in locations is expressed with a radius, that with coordinates (lat., long.), defines a circle in which the collection is determined to have occurred. The institutions holding examined specimens have been informed of our re-determinations and other corrections, but we do not control repatriation, so users may find our records for some specimens conflict with the data they might now independently publish. The database continues to grow and evolve, initially holding only specimen records from 44 institutions, now includes data from 116 institutions including non-specimen sources such as state and federal agencies, citizen scientists, peer and non-peer reviewed literature and word of mouth accounts. Thus, the dataset contains many records that are not openly published, for use by researchers and resource managers interested in the fish fauna of Texas and adjoining parts of its river basins. The same data can also be queried and explored in diverse ways via our website (http://www.fishesoftexas.org), where users will find additional documentation and other data-exploration tools. Please use our contact information there to notify us of any errors or other issues.

Graph and download economic data for Real Gross Domestic Product: Publishing Industries (Except Internet) (511) in Texas (TXPUBINDRGSP) from 1997 to 2024 about printing, software, information, GSP, private industries, TX, private, real, industry, GDP, and USA.

Fostering Communities of Practice: Software Preservation and Emulation in Libraries, Archives and Museums, IMLS grant RE-95-17-0058-17.

The Digital Geologic-GIS Map of Fort Davis National Historic Site and Vicinity, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (foda_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (foda_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (foda_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (foda_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (foda_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (foda_geology_metadata_faq.pdf). Please read the foda_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (foda_geology_metadata.txt or foda_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geomorphic-GIS Map of Big Thicket National Preserve and Vicinity, Texas is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (bitl_geomorphology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (bitl_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (bith_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (bith_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (bitl_geomorphology_metadata_faq.pdf). Please read the bith_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Texas Bureau of Economic Geology, University of Texas at Austin. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (bitl_geomorphology_metadata.txt or bitl_geomorphology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:500,000 and United States National Map Accuracy Standards features are within (horizontally) 254 meters or 833.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

These are text files containing the behavior data exported from E-Prime presentation software. There are five columns in each file: col 1 = block, col 2 = accuracy, col 3 = reaction time, col 4 = stimulus category code, col 5 = stimulus label.